viewtool

  • 2019-03-16
  • 发表了主题帖: USB转I2C适配器 模块 USB-IIC/GPIO/PWM/ADC 支持Android 安卓、树莓派

    名称:纬图Ginkgo USB-I2C适配器 品牌:ViewTool/纬图 型号:VTG200A 典型应用: - I2C总线设备,芯片控制、调试 - I2C接口传感器测试 - I2C存储器EEPROM数据读写 - I2C总线设备故障检测维修 - PMBus和SMBus总线接口芯片控制 - 协助开发I2C主机程序 - 脉冲计数器 - 模拟电压测量,GPIO输入输出控制 - PWM信号输出 - USB转双串口/TTL(兼容RS485总线模式)产品特色 - 支持Linux、MAC OS、Windows、Android四大主流系统,支持树莓派(Raspberry Pi); - USB总线供电,无需外接电源,5V和3.3V电源输出,最大电流可达500mA,带短路保护; - 可作I2C总线主机(Host/Master)或从机(Slave),实现USB和I2C总线双向适配转换; - 2通道硬件I2C(标准模式),8通道软件I2C(GPIO模式),硬件I2C频率可达1.2MHz,软件I2C频率可达400KHz,频率任意可调; - 支持吉阳光电USB-I2C; -支持PMBus和SMBus,提供专门针对两种总线的接口函数库; -多套免费上位机软件,应对不同用户实际需求,与LabviEW无缝挂接; -支持USB-SDI12、USB-EasyScale、USB-UART总线转换,支持计数器、PWM输出、ADC采样、GPIO输入输出控制等功能; - 同一台PC可接入多个I2C适配器同时进行工作(最多可支持100个); - 支持USB-RS485,输出RS485总线控制信号(DE),最大波特率可达2.25Mbps; - 用户可免费更新、升级软件,同一个硬件通过软件更新实现不同功能(如I2C适配器更新为SPI适配器或CAN适配器); - 完全开放底层接口函数,可二次开发,提供详细的函数说明文档及各种语言平台的应用实例(Labview、C#、VC++、Qt、Python、Labwindows/CVI、C++ Builder、VB、VB.NET、Delphi、LabView)的二次开发应用模板、例程及文档;功能列表 功能             功能说明 USB-I2C USB转I2C总线,硬件模式2路,软件模式8路,支持从机收发模式(硬件模式下) USB-SMBus USB转SMBus总线,2路,支持硬件PEC USB-PMBus USB转PMBus总线,2路,支持硬件PEC USB-UART USB转UART总线,2路,支持RS485发送接收控制引脚输出 USB-GPIO 通过USB读写控制GPIO,16路,每个引脚可配置为4种工作模式(上拉输入,推挽输出,开漏模式,浮空输入) USB-ADC 通过USB实现模拟电压采集,8路,参考电压3.3V,12bit精度,1us转换时间,可配置为定时采样模式 USB-DAC 通过USB实现模拟电压输出,2路,12bit精度,最大输出电压3.3V,每通道1K数据转换缓冲区,可配置数据转换时间间隔 USB-PWM 通过USB实现PWM控制输出,8路,1Hz~20MHz频率可调 USB-EasyScale USB转EasyScale总线,16路 USB-SDI12 USB转SDI12总线,2路 USB-CNT 通过USB实现脉冲计数器,4路,可配置为上升沿计数或下降沿计数,计数频率可达36MHz USB-DIGRF USB转DigRF总线,4路 USB-XXX 可接受USB转其他任意总线的定制开发项目 性能参数 - USB总线供电,USB2.0通信接口; - 2通道硬件I2C(标准模式),8通道软件I2C(GPIO模式),硬件I2C速率1.2Mbps,软件I2C速率400Kbps,总线速率任意可调; - 8路ADC(12bit)模拟电压信号(0~3.3V)测量,最大采样率1MHz; - 16路GPIO,可配置为输入输出管脚,所有管脚兼容TTL电平; - 4路脉冲计数器输入通道,可对脉冲上升沿、下降沿进行计数; - 2路UART,可输出RS485总线控制信号(DE),最大波特率可达2.25Mbps; - 8路PWM信号输出,输出占空比可调(0%~100%),输出频率可调(1Hz~20MHz); - 16路EasyScale总线信号输出,可对总线时序进行调节; - 2路SDI12总线输出(需要外接收发器),有专门针对SDI12的命令发送和接收函数量; - 安全电压范围:0~5V; - 硬件部分尺寸:103mm×53mm×28mm,硬件部分重量:约200g; - 工作温度范围:-40℃~85℃;https://img.alicdn.com/imgextra/i4/183629858/TB21H8HapXXXXcjXXXXXXXXXXXX_!!183629858.jpg软件介绍https://img.alicdn.com/imgextra/i4/183629858/TB2gOFyapXXXXbmXXXXXXXXXXXX_!!183629858.jpg USB-I2C Classic:最基本的I2C数据发送和接收(支持从机模式),推荐在对数据处理不复杂或数据量不大的情况下使用。 https://img.alicdn.com/imgextra/i3/183629858/TB2lAhzapXXXXX6XXXXXXXXXXXX_!!183629858.jpg USB-I2C EEPROM:专门对I2C接口的EEPROM存储器进行数据读写,在对I2C接口的EEPROM芯片进行数据烧写或者读取的时候非常方便,该软件只能在硬件I2C(标准模式、两个通道)下使用,可以在软件界面上修改EEPROM芯片地址。 https://img.alicdn.com/imgextra/i3/183629858/TB29OVzapXXXXaIXXXXXXXXXXXX_!!183629858.jpg USB-I2C Extend:数据发送或读取可预先编辑在一个列表中,软件即可按照列表编辑的操作方式进行数据读写,推荐在对I2C接口芯片需要进行较为复杂的控制时使用该软件。 https://img.alicdn.com/imgextra/i4/183629858/TB28nxyapXXXXaSXXXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i3/183629858/TB2wTNzapXXXXaeXXXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i4/183629858/TB2E1xuapXXXXXkXpXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i2/183629858/TB2W.txapXXXXbVXXXXXXXXXXXX_!!183629858.jpg USB-I2C PMBus:专门针对PMBus和SMBus总线控制的软件,按照PMBus&SMBus总线协议收发数据,可针对某个SMBus或PMBus总线芯片编辑好命令列表,软件即根据命令列表进行数据收发(也可作为常规的I2C总线数据收发)。 https://img.alicdn.com/imgextra/i2/183629858/TB2EcJzapXXXXa5XXXXXXXXXXXX_!!183629858.jpg USB-I2C Classic(Android/安卓):可实现I2C总线数据收发,Android端也有相应的接口函数库。 https://img.alicdn.com/imgextra/i1/183629858/TB2PJBBapXXXXXkXXXXXXXXXXXX_!!183629858.jpg BootLoader:利用该软件可以对适配器的固件进行升级或更换,同时用户可写入自己的密钥,并在自己的应用程序里检查这个密钥,以实现对自己设计(二次开发)的产品进行一个加密的功能。源码完全公开的应用实例https://img.alicdn.com/imgextra/i2/183629858/TB2ywJwapXXXXXgXpXXXXXXXXXX_!!183629858.jpg 对MPU6050加速度传感器芯片进行数据读写,测量的加速度值和温度值以波形方式在界面显示。 https://img.alicdn.com/imgextra/i3/183629858/TB2Rh8BapXXXXXMXXXXXXXXXXXX_!!183629858.jpg EasyScale总线输出控制软件,利用该软件可对TPS61160/TPS61161芯片进行控制。 https://img.alicdn.com/imgextra/i4/183629858/TB2UCFyapXXXXblXXXXXXXXXXXX_!!183629858.jpg PM2.5/颗粒物浓度监测,以两种方式(UART&ADC)获取其值并以波形方式显示,本例传感器型号为GP2Y1050AU0F。 https://img.alicdn.com/imgextra/i3/183629858/TB2TuJAapXXXXbLXXXXXXXXXXXX_!!183629858.jpg 利用适配器的PWM输出功能实现的一个可实时调整PWM信号输出的软件。 https://img.alicdn.com/imgextra/i4/183629858/TB2aGBxapXXXXcRXXXXXXXXXXXX_!!183629858.jpg 适配器可用的串口调试助手,也可以当普通的串口调试助手使用。 https://img.alicdn.com/imgextra/i2/183629858/TB2bhxyapXXXXbpXXXXXXXXXXXX_!!183629858.jpg 适配器通过控制BMP180气压传感器实现对大气压强、环境温度的测量,同时程序内部根据气压值算出当前海拔高度。 https://img.alicdn.com/imgextra/i1/183629858/TB2Z84AapXXXXXSXXXXXXXXXXXX_!!183629858.jpg 适配器通过控制MLX90614传感器实现红外测温,同时也获取传感器内部寄存器的值。 https://img.alicdn.com/imgextra/i4/183629858/TB271pyapXXXXbiXXXXXXXXXXXX_!!183629858.jpg 利用适配器的脉冲计数功能实现的一个脉冲计数器,可配置计数方式和计数位数。 https://img.alicdn.com/imgextra/i3/183629858/TB2W30tapXXXXaiXpXXXXXXXXXX_!!183629858.jpg 适配器控制AM2311/AM2321B传感器实现的温度、湿度测量,温湿度值可实时显示,也能显示历史波形数据。 https://img.alicdn.com/imgextra/i2/183629858/TB23BdxapXXXXcXXXXXXXXXXXXX_!!183629858.jpg 利用适配器的ADC功能实现的一个简易示波器。 https://img.alicdn.com/imgextra/i1/183629858/TB26aVwapXXXXXZXpXXXXXXXXXX_!!183629858.jpg 适配器通过控制TCS3414传感器实现一个颜色识别器。支持系统: - Windows XP、Windows 7、Windows 8、Windows Vista、Windows 2000、Windows Server - Linux、Android - MacOS/Darwin、NetBSD、OpenBSD、FreeBSD、Solaris

  • 发表了主题帖: 如何用Python对Ginkgo USB- CANK进行发送和接收数

    Python版本:硬件版本3.5.3两套Ginkgo USB-CAN 接口:VTG203B 硬件连接:ITEM1   ITEM2CAN1 H < - > H.CAN1 L < - > L.CAN1 120 OHM电阻器通过导线短路CAN2 H < - > H.CAN2 L < - > L.CAN2 120 OHM电阻器通过导线短路 软件:对于第一项:Ginkgo USB-CAN Extend软件对于第2项(开源python项目):Python CAN数据发送和接收PC:两台PC(PC1,PC2)程序:1.确保在两台PC上都正确安装了Ginkgo驱动程序(通过检查设备管理器,或通过软件“bootloader”读出软件版本);2.在PC1上运行Extend软件单击按钮(左上角)“开始”打开设置对话框(如下):将波特率设置为500K,首先选择“通道Inex”为“CAN1”或“CAN2”,以提供波特率选择(这是软件错误,需要修复)                              选择“500K”后,选择“ALL”作为频道索引 单击“确定”,进入以下主要操作对话框,进行数据发送和接收 3.运行python代码PC2: 4.如果手头只有一个CAN接口,那么请修改python代码:CAN_MODE_LOOP_BACK = 1,然后它可以用于自我测试。 在python代码中,有更多的描述和文档链接。

  • 2019-03-13
  • 发表了主题帖: Hollong 低功耗蓝牙4.0/4.1/4.2 BLE Sniffer协议分析仪

    名称:纬图Hollong BLE蓝牙 监控分析仪 品牌:ViewTool/纬图 型号:VTH201A典型应用:- 抓取BLE蓝牙传输数据,分析数据传输协议; - 实时捕获、显示、分析、过滤协议数据,减少调试时间,加速产品进入市场; - 协助开发调试BLE相关软件,固件; - 帮助学习BLE蓝牙传输协议;功能:- Mini-USB供电,无需外接电源,真正的USB传输; - 支持蓝牙4.2协议及蓝牙4.0/4.1/4.2协议; - 支持WINDOWS, LINUX, MAC 操作系统,方便在同一个电脑下工作; - 超便携的尺寸,是在任何环境下工作的完美工具; - 同时对37,38,39三个频道进行广播数据读取,不丢失任何频道的广播数据包; - 设置极其简单,点击开始即可开始抓取进程,后续自动解析; - 使用Wireshark对BLE数据进行协议分析显示,同时可过滤显示用户指定的协议层数据; - 支持最新版本Wireshark软件对协议层分析; - 解码所有的流量:广播包(Advertising),数据包(Data),LL控制包及更多; - 可选择指定的BLE设备进行定向读取,过滤其他设备的数据; - 精确到微秒级别的时间戳显示,对BLE设备开发调试有极大帮助; - 稳定、可靠、无遗漏,24小时连续抓取数据; - 支持多个Hollong数据分析仪同时接入同一PC进行数据抓取;性能:- Mini-USB供电,USB2.0通信接口; - 安全电压范围:0~5V; - 硬件部分尺寸:76mm×56mm×12mm,硬件部分重量:约200g; - 工作温度范围:-40℃~85℃;应用实例简介:通过PC使用Hollong 蓝牙4.0/4.1/4.2 BLE协议分析仪对BLE蓝牙数据进行抓取并分析显示;https://img.alicdn.com/imgextra/i1/183629858/TB2V7JZd3HqK1RjSZJnXXbNLpXa_!!183629858.jpg软件简介:ViewTool Hollong BLE Sniffer:Hollong 蓝牙4.0/4.1/4.2 BLE协议分析仪程序,可显示设备名称,MAC地址,信号强度,连接状态以及读到数据的活跃度,支持多个分析仪同时接入同一PC,通过设备索引号来区分不同的设备; https://img.alicdn.com/imgextra/i2/183629858/TB2d4rgxYJmpuFjSZFwXXaE4VXa_!!183629858.jpg设备单选功能:Hollong BLE Sniffer会将扫描到的所有BLE设备显示在设备列表中,我们可以单选查看指定设备的通信数据; https://img.alicdn.com/imgextra/i4/183629858/TB2JPodx4hmpuFjSZFyXXcLdFXa_!!183629858.jpg设备多选/全选功能:查看多个设备的通信数据;https://img.alicdn.com/imgextra/i2/183629858/TB2fJf3x4xmpuFjSZFNXXXrRXXa_!!183629858.jpg设备活动状态指示功能:可以通过Active栏的颜色指示设备的不同状态;https://img.alicdn.com/imgextra/i3/183629858/TB2CjI9t88lpuFjSspaXXXJKpXa_!!183629858.jpg设备排序功能:通过设备名称或RSSI值排序,当设备太多,想快速找到我们的设备,就需要使用排序功能对列表设备排序; https://img.alicdn.com/imgextra/i1/183629858/TB2qi7SsyC9MuFjSZFoXXbUzFXa_!!183629858.jpgWireshark收到数据之后,可以设置自动滚屏到最新的数据,这样即可非常方便的查看最新数据;https://img.alicdn.com/imgextra/i1/183629858/TB2Rk3Ix4lmpuFjSZPfXXc9iXXa_!!183629858.jpgWireshark过滤功能:连接设备之后的数据会有大量的空包,很多时候这些空包并没有用,而且严重影响我们查看有用的数据,这时就需要利用Wireshark强大的过滤功能;https://img.alicdn.com/imgextra/i1/183629858/TB2sEPzx.hnpuFjSZFpXXcpuXXa_!!183629858.jpgWireshark协议分析功能:Wireshark可以对每一帧的BLE数据进行详细的协议分析;https://img.alicdn.com/imgextra/i3/183629858/TB2zucEtYJkpuFjy1zcXXa5FFXa_!!183629858.jpgWireshark显示原始数据功能:Wireshark可以显示BLE原始数据,就可以判断原始数据是否有误;https://img.alicdn.com/imgextra/i4/183629858/TB2wYcyxYBmpuFjSZFAXXaQ0pXa_!!183629858.jpghttps://img.alicdn.com/imgextra/i4/183629858/TB2ldort9xjpuFjSszeXXaeMVXa_!!183629858.jpg支持系统:- Windows 10、Windows 8/8.1、Windows 7、Windows XP、Windows 2000、Windows Server.

  • 2019-03-05
  • 发表了主题帖: 利用Ginkgo适配器实现一个PM2.5/粉尘物/颗粒物检测仪

    随着大家对空气质量的关心,相信大家也比较关心自己生活环境的空气质量,比如空气中的灰尘浓度等,下面我们就用GP2Y1050AU0F传感器加上Ginkgo适配器实现一个灰尘浓度检测仪。 传感器内部功能图: http://www.viewtool.com/bbs/data/attachment/forum/201408/14/123415u0vk2hq5ug9fqx6z.jpg 该传感器有两种方式输出信号,串口输出和模拟电压值输出,所以我们可以利用Ginkgo的UART功能和ADC功能来实现灰尘浓度检测。 传感器电压输出与灰尘浓度对应表: http://www.viewtool.com/bbs/data/attachment/forum/201408/14/123630cztu97e7ui95yso5.jpg 有了上表,我们就可以通过测量模拟电压输出值或者根据串口输出数据得到当前环境中的灰尘浓度。 下图为基于Ginkgo适配器设计的上位机界面: http://www.viewtool.com/bbs/data/attachment/forum/201408/14/123940sbow2batwn8vo2uo.jpg 该程序同时测量模拟电压和串口输出的数据,并以两条曲线方式显示。 在实际使用中注意,为减小测量误差,模拟电压输出建议增加一个低通滤波器对信号进行滤波处理,否则测量出来的值误差较大,如果用串口的数据则没有这个问题。 实物连接: http://www.viewtool.com/bbs/data/attachment/forum/201408/16/104536sm4wkoxmh90bvm0n.jpg 此内容由EEWORLD论坛网友viewtool原创,如需转载或用于商业用途需征得作者同意并注明出处

  • 发表了主题帖: Hollong 低功耗蓝牙支持4.0/4.1/4.2 BLE Sniffer协议分析仪

    名称:纬图Hollong BLE蓝牙 监控分析仪 品牌:ViewTool/纬图型号:VTH201A典型应用:- 抓取BLE蓝牙传输数据,分析数据传输协议; - 实时捕获、显示、分析、过滤协议数据,减少调试时间,加速产品进入市场; - 协助开发调试BLE相关软件,固件; - 帮助学习BLE蓝牙传输协议;功能:- Mini-USB供电,无需外接电源,真正的USB传输; - 支持蓝牙4.2协议及蓝牙4.0/4.1/4.2协议; - 支持WINDOWS, LINUX, MAC 操作系统,方便在同一个电脑下工作; - 超便携的尺寸,是在任何环境下工作的完美工具; - 同时对37,38,39三个频道进行广播数据读取,不丢失任何频道的广播数据包; - 设置极其简单,点击开始即可开始抓取进程,后续自动解析; - 使用Wireshark对BLE数据进行协议分析显示,同时可过滤显示用户指定的协议层数据; - 支持最新版本Wireshark软件对协议层分析; - 解码所有的流量:广播包(Advertising),数据包(Data),LL控制包及更多; - 可选择指定的BLE设备进行定向读取,过滤其他设备的数据; - 精确到微秒级别的时间戳显示,对BLE设备开发调试有极大帮助; - 稳定、可靠、无遗漏,24小时连续抓取数据; - 支持多个Hollong数据分析仪同时接入同一PC进行数据抓取;性能:- Mini-USB供电,USB2.0通信接口; - 安全电压范围:0~5V; - 硬件部分尺寸:76mm×56mm×12mm,硬件部分重量:约200g; - 工作温度范围:-40℃~85℃;应用实例简介:通过PC使用Hollong 蓝牙4.0/4.1/4.2 BLE协议分析仪对BLE蓝牙数据进行抓取并分析显示;https://img.alicdn.com/imgextra/i1/183629858/TB2V7JZd3HqK1RjSZJnXXbNLpXa_!!183629858.jpg软件简介:ViewTool Hollong BLE Sniffer:Hollong 蓝牙4.0/4.1/4.2 BLE协议分析仪程序,可显示设备名称,MAC地址,信号强度,连接状态以及读到数据的活跃度,支持多个分析仪同时接入同一PC,通过设备索引号来区分不同的设备; https://img.alicdn.com/imgextra/i2/183629858/TB2d4rgxYJmpuFjSZFwXXaE4VXa_!!183629858.jpg设备单选功能:Hollong BLE Sniffer会将扫描到的所有BLE设备显示在设备列表中,我们可以单选查看指定设备的通信数据; https://img.alicdn.com/imgextra/i4/183629858/TB2JPodx4hmpuFjSZFyXXcLdFXa_!!183629858.jpg设备多选/全选功能:查看多个设备的通信数据;https://img.alicdn.com/imgextra/i2/183629858/TB2fJf3x4xmpuFjSZFNXXXrRXXa_!!183629858.jpg设备活动状态指示功能:可以通过Active栏的颜色指示设备的不同状态;https://img.alicdn.com/imgextra/i3/183629858/TB2CjI9t88lpuFjSspaXXXJKpXa_!!183629858.jpg设备排序功能:通过设备名称或RSSI值排序,当设备太多,想快速找到我们的设备,就需要使用排序功能对列表设备排序; https://img.alicdn.com/imgextra/i1/183629858/TB2qi7SsyC9MuFjSZFoXXbUzFXa_!!183629858.jpgWireshark收到数据之后,可以设置自动滚屏到最新的数据,这样即可非常方便的查看最新数据;https://img.alicdn.com/imgextra/i1/183629858/TB2Rk3Ix4lmpuFjSZPfXXc9iXXa_!!183629858.jpgWireshark过滤功能:连接设备之后的数据会有大量的空包,很多时候这些空包并没有用,而且严重影响我们查看有用的数据,这时就需要利用Wireshark强大的过滤功能;https://img.alicdn.com/imgextra/i1/183629858/TB2sEPzx.hnpuFjSZFpXXcpuXXa_!!183629858.jpgWireshark协议分析功能:Wireshark可以对每一帧的BLE数据进行详细的协议分析;https://img.alicdn.com/imgextra/i3/183629858/TB2zucEtYJkpuFjy1zcXXa5FFXa_!!183629858.jpgWireshark显示原始数据功能:Wireshark可以显示BLE原始数据,就可以判断原始数据是否有误;https://img.alicdn.com/imgextra/i4/183629858/TB2wYcyxYBmpuFjSZFAXXaQ0pXa_!!183629858.jpghttps://img.alicdn.com/imgextra/i4/183629858/TB2ldort9xjpuFjSszeXXaeMVXa_!!183629858.jpg

  • 2019-02-25
  • 发表了日志: 纬图HOLLONG BLE SNIFFER 支持Linux系统

  • 2019-02-22
  • 发表了主题帖: 使用Ginkgo运行 VB报找不到DLL错误原因?

    提示找不到dll文件一般有以下几个问题: 1,这个dll文件确实不存在 2,这个dll文件异常,比如版本不兼容,文件被损坏等等 3,这个dll调用了其他的dll,而其他的dll不存在或者找不到,比如我们的Ginkgo_Driver.dll就会调用USB驱动程序的libusb0.dll文件,这个文件在安装驱动程序的时候会自动拷贝到系统目录下,如果没安装USB驱动程序则这个文件有可能是找不到的,因此会导致无法加载Ginkgo_Driber.dll文件。 4,缺少运行库,我们的Ginkgo_Driver.dll是在VS2010环境下开发的,如果没有安装对应的运行库也会导致加载失败。

  • 2019-02-20
  • 发表了主题帖: 利用Ginkgo USB-I2C/SPI适配器实现脉冲计数或者频率测量功

    Ginkgo USB-SPI/I2C适配器最新固件支持脉冲计数器功能(4路),可以配置适配器实现对脉冲进行计数,其设置项目如下: 1,可配置为上升沿计数或者下降沿计数; 2,可配置为加计数或者减计数; 3,可初始化设置计数器计数值; 4,可以配置计数器为16bit模式或者32bit模式; 脉冲计数器软件界面如下: http://www.viewtool.com/bbs/data/attachment/forum/201407/17/1546294xo3m4du51ldkf4o.png

  • 2019-02-18
  • 发表了主题帖: 纬图 USB-CAN分析仪 中继 兼容ZLG CANopen DeviceNet J1939分析

    名称:纬图Ginkgo USB-CAN接口适配器 品牌:ViewTool/纬图 型号:VTG203B 典型应用: - 通过PC的USB接口对CAN总线网络进行数据发送和接收 - 工业现场CAN网络数据监控 - 汽车CAN总线应用 - CAN网络诊断与测试 - CAN网络数据采集、数据分析 - CAN总线-USB网关,延长CAN总线的网络通讯长度 - USB接口转CAN网络接口产品特色 - 支持Linux、MAC OS、Windows、Android四大主流系统,支持树莓派(Raspberry Pi); - 双通道、透明传输、支持中继、无限升级、2500 VRMS隔离、8kV静电保护; - 支持CANopen、SAE J1939、DeviceNET、iCAN等高层协议分析,同时支持用户自定义协议分析; - 双通道发送速度可同时达到8000帧/s以上,接收永不丢帧; - 采用32位高性能120M主频ARM处理器,支持真正的全速USB传输,128K的SRAM可缓存5000帧CAN数据; - 采用TI最新的电磁隔离技术,高集成度,可靠性更高; - 多套免费PC端软件,应对不同用户实际需求; - 支持先进的IAP(在线编程)技术,用户可永久免费升级最新固件和软件; - 同一台PC可接入多个USB-CAN接口适配器同时进行工作(最多可支持100个); - 支持ZLG CANalyst-II分析仪CANpro协议分析平台最新版本(V1.46)实现对高层协议数据的解析和分析; - 用户可免费更新、升级软件; - 完全开放底层接口函数,可二次开发,提供详细的函数说明文档及各种语言平台的应用实例(Labview、C#、VC++、Qt、Python、Labwindows/CVI、C++ Builder、VB、VB.NET、Delphi、LabView)的二次开发应用模板、例程及文档; 中继、透明传输 https://img.alicdn.com/imgextra/i4/183629858/TB2PPZNapXXXXaVXXXXXXXXXXXX_!!183629858.jpg中继作用 1. 延长数据传输距离; 2. 实现信号隔离; 3. 把CAN中继器接入CAN网络,在不断开CAN网路的情况下,分析CAN网络的收发情况,便于进行协议分析。 https://img.alicdn.com/imgextra/i2/183629858/TB2jssQapXXXXXRXXXXXXXXXXXX_!!183629858.jpg性能参数 参数名称 参数描述 供电方式 USB接口供电 通道数 2通道 支持USB协议 USB2.0,兼容USB1.1 CAN协议版本 CAN2.0A,CAN2.0B 终端电阻 每通道120欧终端电阻选择性接入 隔离电压 总线2500 VRMS隔离,电源3000 VRMS隔离 总线故障保护电压 -27V至40V 接口静电保护电压 Air - 15kV,Contact - 8kV 支持波特率 20Kbps到1Mbps范围20个标准波特率可选,可自定义波特率 数据发送速度 高于8000帧每秒(标准ID数据帧,8字节数据) 数据接收速度 双通道同时接收不丢帧 接收缓冲区大小 每通道1800帧缓冲区 中继模式 CAN1到CAN2,CAN2到CAN1,CAN1和CAN2双向中继 软件协议分析 CANopen,DeviceNet,J1939,iCAN,自定义协议 支持系统 Linux、MAC OS、Windows、Android 二次开发 提供底层接口函数库,包括使用说明和文档 回路延迟时间 150ns(典型值) 工作温度 -40℃到85℃https://img.alicdn.com/imgextra/i1/183629858/TB2opf6apXXXXcjXXXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i2/183629858/TB2oHpKbXXXXXbSXXXXXXXXXXXX_!!183629858.jpg软件介绍https://img.alicdn.com/imgextra/i2/183629858/TB24FQJapXXXXXpXpXXXXXXXXXX_!!183629858.jpg USB-CAN Classic:USB-CAN的基本控制软件,可实现设备初始化配置,过滤器设置,软件其他设置,具有显示直观的优点。 https://img.alicdn.com/imgextra/i2/183629858/TB2FvVLbpXXXXaNXpXXXXXXXXXX_!!183629858.jpg USB-CAN Extend:USB-CAN的扩展控制软件,利用该软件可初始化适配器,配置CAN过滤器,设置软件显示模式等,该软件具有操作简单,显示方便等优点。 https://img.alicdn.com/imgextra/i2/183629858/TB2r8ZHapXXXXXAXpXXXXXXXXXX_!!183629858.jpg USB-CAN AutoBaudRate:自动探测CAN总线上的波特率大小。 https://img.alicdn.com/imgextra/i4/183629858/TB2t3AIapXXXXXsXpXXXXXXXXXX_!!183629858.jpg STM32 CAN波特率计算器:计算STM32单片机的CAN总线波特率参数的小软件。 https://img.alicdn.com/imgextra/i1/183629858/TB2ProGapXXXXbaXpXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i2/183629858/TB2OvsOapXXXXaRXXXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i4/183629858/TB2jZUHapXXXXX.XpXXXXXXXXXX_!!183629858.jpg ZLG_CANPRO:可以对常用的CAN总线协议进行分析。 https://img.alicdn.com/imgextra/i1/183629858/TB2UmAOapXXXXaPXXXXXXXXXXXX_!!183629858.jpghttps://img.alicdn.com/imgextra/i2/183629858/TB2CM.FapXXXXaVXpXXXXXXXXXX_!!183629858.jpg ZLG_CANtest:CAN数据的发送接收显示软件。源码完全公开的应用实例https://img.alicdn.com/imgextra/i4/183629858/TB2_7EMapXXXXb4XXXXXXXXXXXX_!!183629858.jpg 基于Ginkgo USB-CAN接口适配器实现的CAN总线bootloader上位机软件,利用该软件可实现对CAN总线上的节点进行在线升级。 所有应用实例源码完全公开,除以上罗列的应用实例以外,官方网站和官方论坛还有其它各种语言平台的大量应用实例,欢迎任何朋友下载交流!https://img.alicdn.com/imgextra/i2/183629858/TB2e3VMbpXXXXanXpXXXXXXXXXX_!!183629858.jpg接口函数https://img.alicdn.com/imgextra/i3/183629858/TB2AdcRapXXXXXaXXXXXXXXXXXX_!!183629858.jpg CAN总线接口函数。 支持系统: - Windows XP、Windows 7、Windows 8、Windows Vista、Windows 2000、Windows Server - Linux、Android - MacOS/Darwin、NetBSD、OpenBSD、FreeBSD、Solaris

  • 发表了主题帖: 一分钟读懂低功耗蓝牙连接数据包

    一分钟读懂低功耗蓝牙(BLE)连接数据包 1.概述    BLE 连接过程中有三个重要的数据包:SCAN_REQ, SCAN_RSP 和 CONNECT_REQ。    SCAN_REQ: 扫描请求,由主设备(MASTER DEVICE)向从设备(SLAVE DEVICE)发出,目的是为了获得从设备的响应以得到更多的从设备               广播数据信息(包括设备名字,或者服务UUID,及其它如厂家特定格式的信息(如硬件版本,软件版本号,设备系列号等等)    SCAN_RSP:  从设备对就主设备发起的SCAN_REQ的响应,作为广播包的补充,从设备可以给主设备更多的广播数据,比如说,有些设备在广播               包里面没有设备名字,这个时候就可以把设备名字放在这个包里面发给主设备    CONNECT_REQ:主设备向从设备发出连接请求。至此连接建立完成(从设备不会响应这个请求),如果从设备没有连接上面的问题的话,以后               主从双方会开始相互交换有效数据(基于GAP,GATT及SMP协议)或者交换空包。    以下对这三个数据包进行详细解读 2.关键字:Hollong BLE 侦听仪,低功耗蓝牙嗅探器, BLE 分析仪,BLE 数据抓取   Keyword: Hollong BLE Sniffer, BLE Data Analyzer,BLE Capture 3.抓取连接数据包的准备工作   * 硬件:一个BLE设备(从设备)及对应的主设备(如智能手机里面的相关应用程序,或者通用BLE 工具软件);            一台HOLLONG BLE SNIFFER (Hollong BLE 侦听仪)   * 软件:Hollong 蓝牙4.0/4.1 BLE协议监控分析仪 软件         下载链接:         http://www.viewtool.com/index.ph ... hollong-4-0-4-1-ble 4. SCAN_REQ 包    1)完整包 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110312lf1052vrr0023g5n.png   2) 存取地址 (Access Address)   对于广播包,这是一个固定长度(4个字节)及固定内容(0x8e89bed6)的主从设备识别广播包的存取地址。 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/1102586bgd9dos4hg0hof6.png   3)  头信息 (Header Info)   固定为2个字节:分解为16个位来使用    位[0:3]:P广播包(PDU) 类型,总共有6个类型:         PDU Type         b3b2b1b0 Packet Name         0000 ADV_IND: 可连接通用连接广播         0001 ADV_DIRECT_IND:可连接定向连接(指定设备)广播         0010 ADV_NONCONN_IND:不可连接通用广播         0011 SCAN_REQ:扫描请求         0100 SCAN_RSP:扫描响应         0101 CONNECT_REQ:连接请求         0110 ADV_SCAN_IND:可扫描通用广播         0111-1111 Reserved    位[4:5]:保留    位[6]:RxAdd    位[7]:TxAdd    位[8:13]:广播数据长度 (最大为37 字节)    位[14:15]:保留 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110301dgcspcgku0qkmkd2.png   4) 主设备地址 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110302b97nb0nuub7z334c.png   5)从设备地址 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110303egu0nz7egezyekxc.png   6)CRC http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110259qoqmf0dnafp7znl5.png 4. SCAN_RSP 包     1)存取地址           定义同上 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/125433298sxz89sg88g8b9.png     2)头信息           定义同上 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/1254347ddyfkdm767kx778.png     3)从设备地址          固定6个字节的从设备地址(MAC ADDRESS) http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110311yopooqpaxy2yqqht.png     4)响应数据(广播数据)         格式同广播数据格式(详见文“1分钟读懂低功耗蓝牙广播数据”), 在这个包里面,数据为0(没有数据) http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110308xxxmzvxualay4uxo.png         5)CRC     固定为3个字节 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110307vsgktjd5ga8daydd.png 5. CONNECT_REQ 包      1)存取地址       固定4个字节和内容(0x8e89bed6)的存取地址,BLE 芯片使用这个固定的地址作为广播通道的BLE数据接收。 http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110239gbgljnh7jwmw1bff.png     2)头信息       二个字节的头信息(解析格式同上) http://www.viewtool.com/bbs/data/attachment/forum/201707/26/1102465tfasifnjnl03l0c.png     3)主设备地址     http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110250yvwv7ibpwvbnn9f7.png      4)从设备地址     http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110251rbpsbz15iqzlsju0.png      5)存取地址           在此指定连接后使用的存取地址(BLE 数据通道),这个地址是由内部指定的非确定的4个字节长度的地址,不像广播数据通道使用固定内容的存取地址。       http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110245pt2pm9rr2928w9o5.png      6)CRC INIT           初始化的CRC 值,以后被使用于数据CRC 校验       http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110243t2sthstt4s242f22.png      7)窗口时间 (Win Size)           http://www.viewtool.com/bbs/data/attachment/forum/201707/26/1102550s46yi8ywzy8pd6i.png      8) 窗口偏移           http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110254qi49i9zcdvznbsce.png      9)数据间隔时间 (CONNECTION INTERVAL)           发送两个数据包(或者空包)的间隔时间。           计算公式为:24 (0x18) * 1.25ms = 30ms, 在抓取的数据包中可以看到,每两个包之间的间隔是30MS。 下载此数据包需要注册。           http://www.viewtool.com/bbs/data/attachment/forum/201707/26/1102423kcjlqelkpr3x2kl.png       10)时延(Latency)           http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110249rt8edgu00o8gpyrc.png              11) 中断连接最大时延(TIME OUT)           当主从双方有一方在大于此时间后没有接收到任何数据包或者空包,则由连接状态转为非连接状态(主设备可以重新开始 扫描, 从设备也可以重新开始广播,具体做什么由应用程序决定)。           计算方法: 最大时延 = TIME_OUT * 10MS, 在此为:72 (0X48) * 10 = 720 MS, 也就是说,如果双方在0.72秒期间没有收到任何数据包或者空包,则视为连接中断,由连接状态转为非连接状态,开始做应用程序要求做的事情。           http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110253eepmzr55fuszsseu.png        12)跳频通道图(CHANNEL MAP)          这个跳频图是由BLE 芯片根据周围环境中可以使用的BLE 通道而制定出来,根据扫描测试的环境不同(指被占用的频谱资源不同)而不同,当这个图(表)通过CONNECT_REQ 包发送给从设备后,主从双方都会根据这个图来同步跳频(HOPPING),低功耗蓝牙设备通过这个方法能够有效避开拥堵的频道,使用比较“干净”,无(少)干扰的频道来交换数据,从而大幅提升传输数据的稳定可靠性。        http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110241owv3roo36eolmr63.png        由于这个是在比较干净(周围几乎没有任何BLE 设备或者其它工作在2.4G频段,类似频道的强信号设备)的环境下面工作的主从设备,所以可以看出,它使用了所有频道(除了广播专用频道37,38,39)作为跳频图。             13) HOP 及CLOCK        0xAF (10101111)        HOP: 10101   CLOCK: 111 => 对应晶体精度 为0-20PPm          一个字节的前5个位指定HOP(跳频)算法中需要的数据(HOPINCREMENT),另外三个位指定晶体的精度等级(可以有多少PPM的误差)        SCA masterSCA, 三个位对应的晶体精度等级如下:       000: 251 ppm to 500 ppm        001: 151 ppm to 250 ppm        010: 101 ppm to 150 ppm        011: 76 ppm to 100 ppm        100: 51 ppm to 75 ppm        101: 31 ppm to 50 ppm        110: 21 ppm to 30 ppm        111: 0 ppm to 20 ppm        http://www.viewtool.com/bbs/data/attachment/forum/201707/26/110248xg75riz7ya2an59n.png      14)CRC       同上

  • 发表了日志: 利用Ginkgo 2 USB转CAN适配器调试STM32的CAN程序

  • 发表了主题帖: 利用Ginkgo 2 USB转CAN适配器调试STM32的CAN程序

    准备:1、Ginkgo CAN适配器(可在纬图淘宝店购买)2、CAN总线电平转换模块或CAN收发器模块(可在纬图淘宝店购买或自备)3、STM32F103/107/105单片机开发板(可在纬图淘宝店购买或自备)4、Ginkgo CAN适配器相关软件和资料(可在纬图官方网站下载)开始:1、下载Ginkgo CAN适配器USB驱动,将Ginkgo CAN适配器与电脑相连接并安装好驱动(驱动安装可产考对应文档)。2、下载Ginkgo CAN适配器上位机软件并解压到本地任何目录下,双击Ginkgo CAN Adapter Classic.exe运行Ginkgo CAN适配器上位机软件,软件界面如下图所示: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/1441229boo8iq8qqooq7au.jpg 若驱动安装正确则在软件的右下角状态栏可看到设备连接数量。3、将设备初始化设置为环回模式以检测设备工作是否正常,相关参数设置如下: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/1441230exxx43xq4qj4z66.jpghttp://www.viewtool.com/wps_clip_image-10919.png点击“初始化设备”初始化Ginkgo CAN适配器。4、设置过滤器,使能过滤器0并设置为屏蔽位模式,设置其他参数为0,这样就可以接收任何数据了,具体设置如下图所示: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/1441247z12lithl0f5072i.jpghttp://www.viewtool.com/wps_clip_image-4534.png5、勾选“自动接收”开始接收CAN总线上的数据,若收到数据后会在显示数据框以列表的方式显示数据,如下图所示: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/144124r0nugnc9gknk89cd.jpghttp://www.viewtool.com/wps_clip_image-19013.png6、发送数据,测试CAN适配器是否能自发自收,设置好如下数据: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/144125z4qaqf2em2eja4jg.jpghttp://www.viewtool.com/wps_clip_image-27665.png点击“发送数据”即可将数据发送出去,由于CAN适配器工作于环回模式,因此发送的数据会被自己接收到,如下图所示: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/1441267du0u7u7ermdd7d0.jpg7、如下图方式初始化设配器。 http://www.viewtool.com/bbs/data/attachment/forum/201304/25/144128wkcqx2w2cgacc0q6.jpghttp://www.viewtool.com/wps_clip_image-9782.png由于是初始化的两个通道,因此数据同时发送到两个通道并成功接收到了。8、下面我们新建一个STM32F103的CAN程序发送工程,这个工程主要实现CAN数据的发送,发送的数据通过Ginkgo CAN适配器来接收。程序源码下载。9、按照下图设置好CAN适配器。 http://www.viewtool.com/bbs/data/attachment/forum/201304/25/1441295oxjx1rynej2bb0x.jpghttp://www.viewtool.com/wps_clip_image-21340.png[img=555,168]开启自动接收功能,这样适配器就会自动接收到CAN总线上的数据并显示出来了,如下图所示: http://www.viewtool.com/bbs/data/attachment/forum/201304/25/144133uy16wzpnhhnn8zzm.jpg 单片机端源码下载: http://www.viewtool.com/bbs/static/image/filetype/rar.gif can_normal_send.rar (634.1 KB, 下载次数: 148) 此内容由EEWORLD论坛网友viewtool原创,如需转载或用于商业用途需征得作者同意并注明出处

  • 发表了日志: 如何用Labview来对Ginkgo 2进行二次开发

  • 发表了主题帖: 如何用Labview来对Ginkgo 2进行二次开发

    前言: Ginkgo 2支持多种语言平台的开发,目前支持C#、C++ Builder、Labwindows/CVI、Python、Qt、VB、VC++当然还有Labview。下面我就介绍如何用Labview进行二次开发。 准备: 首先需要我们的Ginkgo 2硬件,安装好USB驱动,到www.viewtool.com下载Ginkgo_Driver.dll文件或者已经生成好的Labview的VI库文件,然后就可以开始写自己的应用程序了。 第一种方法: 通过导入dll文件库的方式,详细导入过程请到这里查看。 第二种方法: 直接使用我们已经生成好了的库文件,这个库文件可以到官网下载或者可以下载附件文件。 具体使用方法: 第一种方法实际上就是生成第二种方法提供的库文件,将这个库文件解压到Labview安装目录的user.lib文件夹下,比如我的路径是:D:\Program Files (x86)\National Instruments\LabVIEW 2010\user.lib,解压出来后如下图所示。 http://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAngAAACMCAIAAABgaUNLAAAcS0lEQVR4nO2d21Mb1x3H+bf0XGc6SV2m4+n4oY4dWldpM60ST9JbmKHNpWPFra0xfWE6mUQz6TiFDo6tyI4VAgEM+AIY2YQA5i5AFrYVGwRCSFpMH/Z2rqsj0OrG9zP7gFbnnD27SPvZ3zm7+jVoqoyfb2o+P6INtTUfbRsXvds+pGmaNt4RSmiaFgu1+kIJbaXH19ITU94GAFVC7GlGsDLU6mtp9YUSQ22t59tajzY1H21q7VgZP9/UfFRf2sa1lR6f/bKno6X5qPEVSHS0tHasmG2RxahF/x5pmqYNtTWfH9E0TdNG2n2hhKYlOlqMd+23ahzhcTYZP9/U7AslhtrMY8tgnV5G2o13jT/sAwV0HI+zgfxDZZ3eNW2k3fg8r/T4mqr3IKvsbzlpUC8aC7UebZL8J0bazZOOXdgXSpSggwBUgpXkDr9yKNQzFDJEq3/UY6FW42O/kjAuKK2z/0qPr6nZFxo3T/rj58mLzpUen+CClTKEIZim5qNNzfUqWuFx7mihrjliodbzI9ZJxpbuUFuzcZKxRGsA0bIIjzNNoqNFGETRJ3NLtJos6KoKFPa3rCiJlvzCk4t59BMdbe3nW9qH9FPJSPvRtvFYqNUXGu9oqZPTAThsrP4gviKO2aI14i2N1K2m8aM4ehX20lNNtHRES4TOskveWkN2nEmsyxoKUq723+YhwkAaTeHjPNJ+tG1ccKiZzzMhWmuYswpR+VyVkwKi1RWrD5ex7xlffs10qnnZ3tQ+ZF8EjZ9vEn1JAKhuHj0TXxHH6IjWDFsT9siwYLpEP/vTX4RCouWvbn2hnvNEMFGdJ7hiER5nM6KVLvzpyIh6gQTZ59nEPFFzH0tWvZRotVio9WhLT2m7WhIK7W+5UYpoxePApmiH2tqHjBNEwgph7Soj7dX5nwDAgcfrWeF64ruQsOdfR9rtEJOcODROSePn+RhLIaI1XlqTYUQMVzeilR1nm5H2oy2twulA2UgbIloex+NMBaaxUKvTgDAt2qql8OeqvKiKttB1JTspgjlaUNMkUwVFq2maOXFInpisu5xaemLknQ0j7VRQW/hmKOLmKW5Yr25EKzvOmmYeW/JiRX73DSJaZ6THmbxGNBlqkx/qGhGt0+eqEpQgotU0jRKtec8CPvegdvlhs5BoecXqULdlMoOcxP0mCkPH1DeImKk56qic2kJ4nI2hY8EJ3ZqCbT9faHgZA2kkwuM81CYP/fULQfsjat8fUBMRlOz7WymKuOsYgMPDejpX6S4cCnCcy8NhO87Vtr8QLQACNrer64tar+A4l4fDdpyrbX8hWgAEpHfyle7CoQDHuTwctuNcbfsL0QIgIJOtri9qvYLjXB4O23Gutv2FaAEQkM1V1xe1XsFxLg+H7ThX2/5CtAAIyFfX97RuwXEuD4ftOFfb/kK0AAAAgItAtAAAAICLQLQAAACAi0C0AAAAgItAtAAAAICLQLQAAACAi0C0AAAAgItAtAAAAICLQLQAAACAi0C0AAAAgIsoiXYn+UU6EdhavZBaOrex8NHG/Lnns2efPfwwOfXek+9bnj78Z2qt1+2OAgAAALWIimjz6cSF/HZoN/9468m/f1j0z917N5fu3s3d1Jfs1ldr3/td7ykAAABQgyhFtOnEhXzmWj5zbW9P29vTlkbe+P7W37affaFle/OZb3JbN1bvve12RwEAAIBapDjR5jPX9vb25u/8+kHfX+Lj7+e2bmRToczzzuXRM253FABwKIlH/L5gVPJmNOiPxMmX8qJaPOKXvwmAi6iJ9hEpWm1m8LX73/5hJdqSed6ZTl7afPxpbPhNtzsKQFUQj/h9BsRZOxo01lGnfX01dXIXV7feMtfxFWUryYqyxmUVnQpI9ki+F1YFWaUDEA1KWrQ8a/wB0YKqREm0m/F/6JbNpq++2N2a6vvFWPebsdE/bT7+NBVvW1++uHj3d253FIAqgAigbC/GI36fdb73ESt9/mDQT/tYUF2zVvgjcUlF4UqmorRvsoryloV7VGAvpDIsHlvjMvQtmXtud4kRLSV/AfAuKA9Kok2tfKRbNrPxPy23NtFz/N7Xv126e2Z9+eKzhXPJmQ+WR996MnfJ7b4CUE2QZrTO2Iw/HYY9bUtomsZ5SlhRuFIoOKZxx9FXvoDTHkk3VELRWk3zMb14r0RCNUrG43Fhg8R6ANxGSbTrS3/XLbuV/M/2xq3xrmMjX/1y4dYbyZkPnkw1r333zqP7vrkhr9oWw94GA09gWtO06YCnocEbtt7zhvV13rBd0nibXK9X5lozG6Tq8WsAODBm9ERHUbRvHCzlVK0I0Yr9xkR2RYpW2DUiyhVuiJBdiQJFzrS0Z63xbuKqgh861ke5zSsi8x/m8/mDUZgWlAsl0T5beF+37Hri42TsX/dvNN798sTczdO6YlfvvZ5MJmcHTiu0FPbSQtS9Z6y139TNaErR1C+7Xtia3aoJvwaAA2MJjpGYomgZP3KCUBWtcFKSk29xohXvkUi0smi6RLEtHZfzr4JBfzBK+RhztKAqURJtcrbFsuza7Lmxa6/cufLzmd5XV++9vjLcFLt9IplMztz8VeGG7PiTCUP1NwQOpl/S68WtMU3xjQNwUKiJy+IjWnbeU1BKTbSSENfxPishChEth2hDzjWKRz4yHY1E4rw5uZ4rzfUC4DJKon08/a5l2dWJ90a//PGtzsaH3cdjt08sDR1fHDiWTCYf9jcVbogMQdk39iVaqT312Jd8m18DwH5gBUMpoPAcLe8nkQaVRMsXksiveNFK98h5Q4L6B8WwpeTm52BUqlM+/PYHgxGEtKACKIk2MfFHy7JLY38evvrSYMfL013HFgeOLfQ3LvQ3nvx6frrvlEJL9iiwpmlhrz016wlMTwc81NAxOTFLDB0TAha1Nh0IUBO6ojUA7BPhsKjDrbcC7zpVL26lSuMOram1TA2Rs38RRIPko0kljBRNj4qvH1RG0o03Cj//A4BLKIl29cEZy7Lzd98avnJksP2lqUijbtmF/saXL3031XtSaYPcjUlhbwPn1+mAp8Hr5e6F4k0pus2Jv4eKXwPAfmCDJ9Mn9nOl1EQn+ySJsDpzg7CwonAlf9uyoG/C1kgkBfg9svQqOwiOT97u/2BTjxZzlzEKomUfEi74VDEApUZJtLGx31uWnRn8zfCVIwOf/4gU7Xz/z+Zuv1O6XiH0BIeFfQ+zlvxxmupBl7zQhcYFgHUVoTBHK7sZTfoeAKVGSbSPJgMPB16b7Ds52Xtqsrdp+MqR/s9/MhE5PtV3aqr35OS3r87dfvvp0jW+InO3krI7IVpwSIBnAah/VPPR7qSfPI1FZu78dTT808Grp2ejndsp977lEC0AAIA6AYnfAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXURLtTvKLdCKwtXohtXRuY+Gjjflzz2fPPnv4YXLqvSfftzx9+M/UWq/bHQUAAABqERXR5tOJC/nt0G7+8daTf/+w6J+7924u3b2bu6kv2a2v1r73u95TAAAAoAZRimjTiQv5zLV85trenra3py2NvPH9rb9tP/tCy/bmM9/ktm6s3nvb7Y4CAAAAtUhxos1nru3t7c3f+fWDvr/Ex9/Pbd3IpkKZ553Lo2fc7qimafghCwAOH44ZEehc8MhHC6oTNdE+IkWrzQy+dv/bP6xEWzLPO9PJS5uPP40Nv+l2RzVNg2hB5SF+hF+U+ZT+WUT+9+vF1a23qF/QF2WadUyCJ2u84M/oCwoopAiIR/yy3AUlzvQq/b1Jy7PGHxAtqEqURLsZ/4du2Wz66ovdram+X4x1vxkb/dPm409T8bb15YuLd3/ndkc1TYNoQaUhAijbi0TaODtNq26hYNBP+1hQXbNWmNl8+IrClUxFad9kFeUtC/dIsFm/MDFfwaR8heCszWHpnfYsK9pCmd/hXVAelESbWvlIt2xm439abm2i5/i9r3+7dPfM+vLFZwvnkjMfLI++9WTuktt9hWhBNUGakcqO55z4na1uwARt6klqhdEe03iR+Wid9ojagGzbJTGYIAClB4rtDYmEapSMx+PCBon1ALiNkmjXl/6uW3Yr+Z/tjVvjXcdGvvrlwq03kjMfPJlqXvvunUf3fXNDXoWWdFPy+WGJ9UZu2rBXkPVHVp0qbzQgTlYLQKkwoycuNRshAwfpOFUrQrTiUVUmsitStMKukene7SBalAG+VMPGnGlpz1rj3cRVBT90rA9qm1dE5j/M5/MHozAtKBdKon228L5u2fXEx8nYv+7faLz75Ym5m6d1xa7eez2ZTM4OnFZoSXcfmZBd/5teTyaDdyhmrw97ab1ayePhV+ASlk8YiSmKltERJwhV0QonJTnXFSda8R7ZoqUiSVaqpUzfR8fl/Ktg0B+MUj7GHC2oSpREm5xtsSy7Nntu7Nord678fKb31dV7r68MN8Vun0gmkzM3f6XQEmM/6yW9nvSmQzHrZZjJe6vX1tdSDQFQEqiJy+IjWnbeU1BKTbSSENfxPishChGtqGjxRi8SchaW3lQ0EomrJX4vPNcLgMsoifbx9LuWZVcn3hv98se3Ohsfdh+P3T6xNHR8ceBYMpl82N+k0NK+Rau/lotW6lM9CIZuQclgTUYpoPAcLS9CkZ2URMsXkty6VLxoHfdIek9RqT1rdEamRF20Mp3ysbY/GIwgpAUVQEm0iYk/WpZdGvvz8NWXBjtenu46tjhwbKG/caG/8eTX89N9pxRamg546IlZYkyYmXClho6NF7Lq9iCypmlhr+HuADUBrLKjADhDTlRSKw29FJhqLVS9uJUqjTu0ptYyNUReYJy4lMPGZKOyO4QLRbSCnjqOLQPgEkqiXX1wxrLs/N23hq8cGWx/aSrSqFt2ob/x5UvfTfWeVGhpOuBp8Hr5m5l4F8pvhhJUF9/4JLxpCoD9wwZPxM1BouCOjfqE1ZkbhIUVhSv525YFfRO2RiIpwO9RQdE6iH5fGDtEPVrMXcYoiJZ9SLjgU8UAlBol0cbGfm9ZdmbwN8NXjgx8/iNStPP9P5u7/Y5CSwguAaDYdxToSvhYHeiSlz29S11FKMzRym5Gk74HQKlREu2jycDDgdcm+05O9p6a7G0avnKk//OfTESOT/Wdmuo9Ofntq3O33366dI2vyNyk5A1DtACQwLMA1D+q+Wh30k+exiIzd/46Gv7p4NXTs9HO7dQ+vuUQLQAAgMMFEr8DAAAALgLRAgAAAC4C0QIAAAAuIhZtNpe/MbJy4fJEy2djWLBgwYIFS9UuFy5P3BhZyebyZdanOmLRfjG0dH14+YfUzi4AAABQxfyQ2rk+vPzF0FKZ9akOJdq9hgYsWMqzVOoTDwCoPzI7+Q//+6DSvZAC0WKpzFKpTzwAoP7Y3d1t+Wys0r2QAtFiqcxSqU88AKD+qEnRtnw2tru7a61PJy7kM9f0ZW9vb/7Orx/0/SU+/n5u60Y2Fco871wePVP0lqcDHqekOhX9aYsCfXNxq0q7XJnulQaIFhSJY0YEOhc88tEeWupCtI9I0Wozg6/d//YPK9GWzPPOdPLS5uNPY8NvOm6F+Ml/KvlOmUVLdsMx1UCJTaa4LxBtLUD8CL8o8yn9s4iC36+3Sqrk5uF+ZZFJBittXP7rjMXWEu9vmX+aX/p7k5ZnjT8g2sNKPYh2M/4P3bLZ9NUXu1tTfb8Y634zNvqnzcefpuJt68sXF+/+TroFKrWdpmlhr5Ij3BItlfW2THl9Si3aWqbGRUsEULbziLQ1dj5Y3ZPBICtPO/scn5WWzhjv93PZcMwyssb5bjC1i60l3V+unVIiSHnLYCUVoD3LirZQ5nd4t26oB9GmVj7SLZvZ+J+WW5voOX7v698u3T2zvnzx2cK55MwHy6NvPZm7JGp/3/JwX7QubURluwcqVtvUuGhJSOvJUp/Lhz3ZII3NOOePxLk4jllBN+7UDabb+6ilsVcCriR5Z7fHtk8PFNs9EAnVKBmPx4UNEutBHVAPol1f+rtu2a3kf7Y3bo13HRv56pcLt95IznzwZKp57bt3Ht33zQ15Bc1PBzyy+NXWStjb4AkEjEw/ZnHCOvqIr/HCSjLrCQS8dHb4gmPCvMmsNfofYa/eA2M1NURLvLC3RffWrF54u8IEukQj9npRH6j22M6E7aMS9pKHrToGm+tItGb0xKVmowNTaZo2qWdNozm6mGvcqRskCrXEmWWZaNF10fKmpT1rDV4TVwD80LE+9G1eEZn/MJ/PH4zCtHVEPYj22cL7umXXEx8nY/+6f6Px7pcn5m6e1hW7eu/1ZDI5O3Ba0Dx5frfVQqjNKGQKwdaK+XbYS7iLMIfeHGE+2rlC1xYQLas8qv+CVdLqKtv18vtEN2Kt5/vAXKPQnSHf9Hg8nH0rTN2I1jIZI5wCojWnPOV5VKk4jRELN9gsjUYVRSuuVTDHu3DXSg8/mk6/Cgb9wSjlY8zRHlbqQbTJ2RbLsmuz58auvXLnys9nel9dvff6ynBT7PaJZDI5c/NXguYFJ/iwVyBa0haEaL1eZnqXas16yW5FNgYrFC3tdbag2TTpWRr6bSHid7mYlinGqZ0Jv2WdsS9RPIFpfUbcYWCh3NSHaKnZzP1GtFQIa5Zi7naiRpNFwZorEa3z/hbatVJCzsIy4X0kEldL/F54rhfUPvUg2sfT71qWXZ14b/TLH9/qbHzYfTx2+8TS0PHFgWPJZPJhf5Oofd60RYi2weOhbq8tQrRCr3DCEwSsbEG9iN2iODYsUrRkNG6/KRMt1wdhdM3uPqHYcPV4th5Ey1rHyYcONrKrMZ4V3rEjaohTpqOW911LfGdVeUSrWbaU3BEdjEp1ysfk/mAwgpC2PqkH0SYm/mhZdmnsz8NXXxrseHm669jiwLGF/saF/saTX89P950SboB0iqZpxUW0YeamZeWhY7FX+LuO+UFg7tV0wOPxem1TUQPTYa/QkY7bpXtI7B+1q+wLsg/0qDvXGW064PF47OjXGkCuBmpctMLZS0I5ztOoRARGNKQyjyssI5e6PJ5VqmV3TjxbK++SC5geFbveMaKl3yj8/A+oXepBtKsPzliWnb/71vCVI4PtL01FGnXLLvQ3vnzpu6nek9KN0M+vcpGco2iNAuTM7oFuhuL6Yb8lFi33fJL8Pib1/Sd2w+ulIlqvl22b7wNzHcBXIItX2UO3tS1aNngiPcjogI1NiSdj6JLMzbz01mwXc/7mGxd1g0S5lqVX8f5K2ik1xsapx4a5yxgF0bJP/Jb1CWBQJupBtLGx31uWnRn8zfCVIwOf/4gU7Xz/z+Zuv1PuvlfPHT5AmdoWrQs4BZ/FlKkndJE7XSxYxleYo5XOkcO3dUQ9iPbRZODhwGuTfScne09N9jYNXznS//lPJiLHp/pOTfWenPz21bnbbz9duuZ+b6cDHuqxFkfPsncKlesR1UpttzaAaGngWQBKQD2IVtO0nfSTp7HIzJ2/joZ/Onj19Gy0cztVia8+MVKKaLYWgWgBACWnTkQLQEmAaAEAJacmRYsFi9tLpT7xAID6I5XO+juQ+B0LFnrZBQCAUpDZyUdGV6/eilXKowWBaLFUZmn5bAwLFixYDr58+N8HlweXtndylfJoQTCCBwAAALiIqmj7HNnZ2XG1lwAAAECNUoRotXxe0/K7u9rurvbixe6LF7ualn/xYnd4ePibb77ZSG242lEAAACgFlEVbW9vbz6f41374sXu0NDQ9vZ2d3f3+vq6q30FAAAAag5V0fb09ORyWaFru7q6IpFIJBLp6uoq0Ir1o4lV9gO8AIBDj2OaBDrpPJITgKJQFW13d3cuu5PLZfO5nJbPMa59FI8vLS5CtKD+EaQF0Ihf36d/K1Hw+/WSkhqXilb4i/1WGXE35BVVCuy7zdKjd4X/4clo0F4tKmP/WqUoUX3hH7KU/tql5VnjD4j2AFC5KkTHmzq6+v85GFWpWLWoirarqyu7kxG61tJtJBIp0ArSAIDahohrbC8SueTs3K3xiN/n8weDXE46rqT9nswRXBlhNxR+FNmpwH7bdIV4xO/z+1kzUhkF9F4G6e4VJ1pR9l8GK3sB7VmI9iCofE7JS07rSJMVJWmSqxRV0UYikZ3MdnYnk83u5LKEazWIFhxOzLMvNeLomPjdqSSZDFZ2FhKeoKzyBUM2pZiuyDZdIh7x+4IRZig3HvH7I5EgJdoonTF3XxEtnwSIGSi2/1WiJPM1FVlVBcqijQZ9kuuo8uVDLg2qor1+/Xpme5txbZ527fXr10VV6Ww2bLZZ/a+wl80SEPY2eAJhI4WAN2w3Y5YKe/WUtOIct4VSxAJwUIizgUiYmqaxZwOHkrRnI8LxZfH5yWzUoaLVF76AOLO7cptuYRw3wSGKMqI14lIu430xQ8ecaWnPWhMARBOIaA8AcbkiPojRIHcJZa4nU0DX0H9AVbThcHg7nc5sp2nXZk3X5nd3tXCY91rYS+SJszPb0aIVpZIj1EvkfafTxZMrPYFpiBaUD9KMiqJ1KGmft8lpXS5a488slFkkFe2ifAFRySLadAvzUNFD8cYaRrSkavc5R0u/x78KBv3BKOVjiLYUyD5ThonFH+GaHElQFW0oFNre2rJcu7OTye5QrtW0fCgUYqsxY8XUzVCsOeU1hX+TK6cDHogWlA924uiAEa18TlRcRtYNYUVJz2TDd8W16RbUTV/+SNzetviImKrd981Q8hnyaCQSL5RhHuwXp1EaduCYHwSqnf+BqmgvX76c3txMb21tp7cM12Zo1+bzly9fZqtBtKDuYL/g1LffcY5WUpINe0Vu4z3LdkNSsYgC+2jTLYjdjQZ95Mys7NJDV21QfmGiMjEoC5R00YomaGsutKoyCk6HsDf3V+bzeGBURdvZ2bmVSlGu3bZcu6M/YtvZ2cnVI4eOpwMe2RytWdx+7GffoiWmayFaUGKEY12sFeLCt6QlBWW4CVR5GWHfxENyogL0Jopv0yX4R534iJ9VKX1PMnOS5qMjDtOjgigJEW0piQbJf61k6Jj67wuHe+oyov3kk082UynKtel0hnbtJ598Iqhp3wvlCQQKRbQHFK055dvQ0ODxehHRghLDxjTUSZ0+S7OPjhAznXRJwZAm9+AqU0bWDb6ifAfYmdf9t+kG8rltp8F0/ZEqKuRRCTuNYrTY2esliLaEWP8YyX+Fm2PxiT6ktfQPUBXtxYsXNzc2NlMbpms3addmctmdixcvutpXAOoPlfGvWhojqyWMqx7hCZuKjyFacDBURXv27NnU+rrl2i2Ra8+ePetqXwGoO+BZAOofVdE2q+FqXwEAAICaA4nfAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAXgWgBAAAAF4FoAQAAABeBaAEAAAAX+T8PfrLiTvj9vAAAAABJRU5ErkJggg== 这个文件夹里面就是已经封装好的VI库文件。新建一个VI文件,切换到程序框图,单击右键、选择用户库,这时会看到我们提供的库文件,如下图所示。 http://data:image/png;base64,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 选择这个库就会看到我们封装好的所有库函数,选择你需要的函数并拖到程序框图即可。 http://data:image/png;base64,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 Ginkgo 2的Labview函数库下载: http://www.viewtool.com/bbs/static/image/filetype/rar.gif Ginkgo_Driver_Labview.rar (263.02 KB, 下载次数: 72) Ginkgo 2 I2C测试程序Labview版本源码下载: http://www.viewtool.com/bbs/static/image/filetype/rar.gif AM2311.rar (22.79 KB, 下载次数: 48) 测试程序运行效果: http://www.viewtool.com/bbs/data/attachment/forum/201304/10/154026w3qr8wiel3s9q4ii.jpg 此内容由EEWORLD论坛网友viewtool原创,如需转载或用于商业用途需征得作者同意并注明出处

  • 2019-01-21
  • 发表了主题帖: 纬图HOLLONG BLE SNIFFER 支持MAC系统

    纬图HOLLONG BLE SNIFFER 支持MAC系统 介绍 1。 下载软件: http://www.viewtool.com/index.ph ... ong-4-0-4-1-4-2-ble 在MAC 系统下面,点击最新版本软件下载; 将下载的软件在MAC系统下面运行,运行前条件如下: * 须插入HOLLONG BLE SNIFFER 硬件, 在以下链接购买: https://item.taobao.com/item.htm ... amp;id=553675209335 * 下载Wireshark MAC 版本并确保它能够正常运行。 硬件准备好后,运行这个软件,画面如下 : http://www.viewtool.com/bbs/data/attachment/forum/201806/30/1024504nwnk79hhepz7h73.jpg 2。 点击“开始”(左边三角符号),这个时候WIRESHARK 会在BLE SNIFFER 软件的引导下弹出(如果不弹出或者出现 找不到设备,请再次检查硬件设备是否处理正常工作状态,及WIRESHARK是否安装并能够正常运行,如果WIRESHARK 软件版本不同也许会有不能够正常工作的现象。 http://www.viewtool.com/bbs/data/attachment/forum/201806/30/102452f5wa6jwwj1jhajjw.jpg 3。当WIRESHARK 正常运行后,找到BLE SNIFFER软件窗口,会发现有设备列表出现,表示SNIFFER 扫描到了这些设备,选择需要的设备:对应的行右边的选择框,或者选择所有(点击 ”SELECT"),这时WIRESHARK 会显示出抓取到的数据。 http://www.viewtool.com/bbs/data/attachment/forum/201806/30/102454kc4mskj16k5i46l1.jpg 4。 当有一个正常工作的BLE4.2 主从设备工作的时候,注意一定要从广播阶段就抓取这两个设备之间的通讯,这样连接上后,就能够完整抓取两个之间的通讯数据(如下图示,是一个BLE4.2 的长包), 如果抓取数据包时发现有丢失的现象时,请将主从两个设备靠近些(最好是《0。5米),同时把SNIFFER 硬件放在两者之间,以确保尽量少的丢失数据包。 以下数据包是主设备向从设备写一个长包(247个字节),目前HOLLONG BLE SNIFFER 暂时不支持显示”源设备“(SOURCE)及”目标设备”(DESTINATOIN),所以显示的都是“UNKNOW" http://www.viewtool.com/bbs/data/attachment/forum/201806/30/102458zflu7k8wn88nlvy2.jpg 5。以下包是从设备发给主设备的(NOTIFICATION 包); http://www.viewtool.com/bbs/data/attachment/forum/201806/30/10245969jrkz6kmre92z27.jpg 6。MAC 下面BLE SNIFFER + WIRESHARK 工作全图。 http://www.viewtool.com/bbs/data/attachment/forum/201806/30/1025043umul40uz8m08mfm.jpg 关注纬图公众号【纬图物联】,以得到更多功耗蓝牙技术及产品资讯: http://www.viewtool.com/images/vtqr.jpg

  • 2019-01-18
  • 发表了主题帖: 利用Ginkgo USB-ADC和心率传感器实现一个心率测试仪,带Android端APP源码

    准备: 脉搏传感器:http://pulsesensor.com/ Ginkgo USB-ADC适配器:http://www.viewtool.com/ 带OTG功能的Android手机一部 硬件连接: 手机<-OTG->Ginkgo USB-ADC<->脉搏传感器 连接实物图: http://www.viewtool.com/bbs/data/attachment/forum/201503/14/12380783khqkcqh2iays1y.jpg 发绿色光的就是脉搏传感器,它会根据心率输出规律变换的模拟信号。 APP实测效果截图: http://www.viewtool.com/bbs/data/attachment/forum/201503/14/123813239wjqpzcy3qsynq.jpeg http://www.viewtool.com/bbs/data/attachment/forum/201503/14/123825zysfxdzkt7uf1bz7.jpeg 把手指放到传感器上测试图: http://www.viewtool.com/bbs/data/attachment/forum/201503/14/1237023hrm6eonrmo9k3dz.jpg APP源码(Android Studio工程): http://www.viewtool.com/bbs/static/image/filetype/rar.gif AndroidStudio_USB_ADC_Pulsesensor.rar (430.13 KB, 下载次数: 574)

  • 2019-01-17
  • 发表了主题帖: 如何判断I2C从机的设备地址?

    大家在使用Ginkgo USB-I2C适配器,有个非常重要的信息就是所控制的从机地址必须要知道,否则就无法正确的和I2C从机进行通信,一般来说,在I2C设备的数据手册中都会明确提出这个设备的I2C地址是多少,不过在有的时候,可能手边没有这个设备的地址信息,但是也想和它建立通信,这种情况怎么办呢?下面我们就可以用我们的适配器并配合我们提供的一个小工具来找到这个设备的地址。 实现的基本原理,我们先假设这个I2C从机设备是7bit模式地址,然后我们以此发送所有地址数据,然后判断从机是否正常应答,如果正常应答了,说明这个地址就是这个I2C从机的地址,否则就不是他的地址。 软件界面如下: http://www.viewtool.com/bbs/data/attachment/forum/201406/20/135908mm0o0v0t03iwjrw0.png 从软件输出的信息可以看到,当发送0xD0地址的时候,从机正常应答了,而发送其他地址的时候从机都没应答,这就能说明从机设备地址就是0xD0. 软件下载: http://www.viewtool.com/bbs/static/image/filetype/rar.gif Ginkgo_USB-I2C_AutoAddr_Setup_v1.0.0.rar (8.82 MB, 下载次数: 143) 点击进入纬图官方淘宝店! 此内容由EEWORLD论坛网友viewtool原创,如需转载或用于商业用途需征得作者同意并注明出处

  • 2019-01-16
  • 发表了主题帖: Ginkgo USB-SPI主机模式下四种数据传输模式时序图

    1、CPHA=0,CPOL=0: 软件设置: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/1526466h0mzsdyb80m1bym.png 波形时序: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/152641j11kx26vkz6xkjr1.png 2、CPHA=0,CPOL=1: 软件设置: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/152647xbdbw2cdt55bkbay.png 波形时序: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/152643ccd8udl4lt4dc3zr.png 3、CPHA=1,CPOL=0: 软件设置: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/152648fnn54fghnrfrnhqi.png 波形时序: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/1526503b7771y44408r7sy.png 4、CPHA=1,CPOL=1: 软件设置: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/152649t87h206h4j0326m2.png 波形时序: http://www.viewtool.com/bbs/data/attachment/forum/201401/06/152650wxzcveowxxexyvxw.png

  • 2019-01-15
  • 发表了主题帖: 一文读懂低功耗蓝牙BLE4.2 数据包

    BLE = BTLE = Bluetooth Low Energy (低功耗蓝牙) 1. 怎样抓取(侦听)BLE4.2 空中数据包 (全频道抓取:37,38,39 同时)    * 硬件:          1) 一台BLE4.2 设备 (如: Nordic 52832, NXP QN9080, Telink 8266, EM9304, ...);          2) 一台智能手机(平板):如 Pixel 2 或者 iPhone7 (或者更高版本);          3) 一台纬图Hollong BLE4.2 侦听仪    * 软件: Hollong BLE4.2 侦听仪软件         下载地址:         纬图Hollong BLE4.2 侦听仪软件 2. 广播包(Advertising )     http://www.viewtool.com/forum/data/attachment/forum/201712/21/0020268iftt8fvi5y358vi.jpg       http://www.viewtool.com/forum/data/attachment/forum/201712/21/001901dkg0uugdrccl2skq.png 3.  扫描请求(SCAN REQUEST)     http://www.viewtool.com/forum/data/attachment/forum/201712/21/0036231ph1pls1jvnlefe5.jpg        http://www.viewtool.com/forum/data/attachment/forum/201712/21/003612rcmgtmk111ootmyk.png 4.  扫描响应(SCAN RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/003626x03z0yvzt0r0tvj3.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/00361636vtzvfiofafpzch.png 5.  连接请求(CONNECTION REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/003620rraqwana4uwnuprj.png http://www.viewtool.com/forum/data/attachment/forum/201712/21/003604gy76igzxyg0g8ti5.png http://www.viewtool.com/forum/data/attachment/forum/201712/21/003608j1mv0pymfyavy3gm.png 6.  版本号指示(VERSION INDICATE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/002031xq1sxmrp31igqxq9.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001911a8bdqb8rn00qrga9.png 7. 功能请求(FEATURE REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/0052306kmmlsj8ls6js67v.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001916gn6dkg409tgk8ccp.png 8. 功能响应(FEATURE RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/005232297nyy3xnlzlhii7.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001921z52fitptvpf53ppp.png 9. 长度请求及响应(LL_LENGTH_REQ and LL_LENGTH_RSP) http://www.viewtool.com/forum/data/attachment/forum/201712/21/005628bzpp144m1twx414w.jpg 请求: http://www.viewtool.com/forum/data/attachment/forum/201712/21/010044r1mklm133u7g1z3m.png 响应: http://www.viewtool.com/forum/data/attachment/forum/201712/21/001938clnuwnnoo3um5w4z.png 10. 最大传输单位请求(MTU REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/010547wyy3wtnw39ywnzn0.png http://www.viewtool.com/forum/data/attachment/forum/201712/21/0019429q3yinjnoj6ix89u.png 11. 最大传输单位响应(MTU RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/0105490y00mw3xc03ettex.png http://www.viewtool.com/forum/data/attachment/forum/201712/21/01055288qq7r3jch3rgqzc.png http://www.viewtool.com/forum/data/attachment/forum/201712/21/001947nrfjaurrkc8crpa8.png 12. 读取组类型请求(READ BY GROUP TYPE REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/011828jszw48c899w42fsa.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001957u6nyutt86nln8wbh.png 13. 读取组类型响应(READ BY GROUP TYPE RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/01182676dma9mgg96779jx.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/002002arotz4z53olowk85.png 14. 类型读取请求(READ BY TYPE REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/011831k9v957gj4kytkcj9.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/002006vclq34nnvpqp4cvv.png 15. 类型读取响应(READ BY TYPE RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/0118356fojdc2c0cffhihh.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/002013o42fjpovfd9fd9cf.png 16. 寻找信息请求(FIND INFORMATION REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/012525iccac1zlf2ar1frn.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001927itbiru2kkxzkuiff.png 17. 寻找信息响应(FIND INFORMATION RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/012527s9g8vw8wweg90sgo.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001931uqeil1z60cqc7ps0.png 18. 写请求(WRITE REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/0118447tkeeekokttyiye6.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/002035i9pvaxexdkaj7nex.png 19. 写响应(WRITE RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/011846azhgv7ae7nx7861e.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/002041n889x0nckpz2eszr.png 20. 读请求(READ REQUEST) http://www.viewtool.com/forum/data/attachment/forum/201712/21/011839oo0q2p77ptlpq12k.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/002016cwkjqkc9vdddvsws.png 21. 读响应(READ RESPONSE) http://www.viewtool.com/forum/data/attachment/forum/201712/21/011840hk4t4ypn7euuerk8.png http://www.viewtool.com/forum/data/attachment/forum/201712/21/002022aay1jr8plznym6ir.png 22. 通知(NOTIFICATION) http://www.viewtool.com/forum/data/attachment/forum/201712/21/01182533a5xix8ibd3ao73.jpg http://www.viewtool.com/forum/data/attachment/forum/201712/21/001952hu3abxccwcqy2bcw.png 关注纬图公众号【纬图物联】: http://www.viewtool.com/images/vtqr.jpg

  • 2019-01-14
  • 发表了主题帖: 市面上常见BLE设备通信数据集合

    前言: 本帖主要收集市面上常见的BLE设备通信数据,这些数据可以用来学习BLE开发或者对自己产品设计提供一些参考,我会不断增加完善不同的设备数据,大家也可以推荐一些常见的设备。 数据文件是用Wireshark导出的,所以必须安装Wireshark软件才能查看,大家可以到官网下载,也可以到我们网站下载。 下载链接:点击下载Wireshark Wireshark软件显示样例: http://www.viewtool.com/bbs/data/attachment/forum/201707/25/180515v3vkrevlrhruv7hm.png 数据包罗列: 1,小米手环1的广播包以及跟手机进行通信的数据包 http://www.viewtool.com/bbs/static/image/filetype/rar.gif 小米手环1 抓取的带SMP 协议的包文件.rar (4.92 KB, 下载次数: 80) 此内容由EEWORLD论坛网友viewtool原创,如需转载或用于商业用途需征得作者同意并注明出处

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