![](/media/cache/group/renesas_logomark_l.jpg.50x50_q85.jpg)
Sample program for communicating with Fujitsuu IoT Platform using HTTP
Dependencies: AsciiFont GR-PEACH_video GraphicsFramework LCD_shield_config R_BSP USBHost_custom easy-connect-gr-peach mbed-http picojson BM1383GLV KX022 rohm-sensor-hal rohm-bh1745
Overview
This sample program shows how to send the cognitive data and sensing data gathered by Omron HVC-P2 and Rohm Sensor Shield respectively to IoT Platform managed by FUJITSU ( http://jp.fujitsu.com/solutions/cloud/k5/function/paas/iot-platform/ ).
Required Hardware
- GR-PEACH ( https://developer.mbed.org/platforms/Renesas-GR-PEACH/ )
- LCD Shield ( https://developer.mbed.org/teams/Renesas/Wiki/LCD-shield )
- HVC-P2 ( Human Vision Components B5T-007001 ) ( https://plus-sensin.omron.com/product/B5T-007001/ )
- SensorShield-EVK-001 ( Rohm Sensor Evaluation Kit ) ( http://www.rohm.com/web/global/sensor-shield-support )
Application Setup
- Configure the connection type. For details, please refer to the following link:
https://developer.mbed.org/teams/Renesas/code/GR-PEACH_IoT_Platform_HTTP_sample/wiki/Connection-Type - Configure Ethernet settings. For details, please refer to the following link:
https://developer.mbed.org/teams/Renesas/code/GR-PEACH_IoT_Platform_HTTP_sample/wiki/Ethernet-settings - Set up the Access Code of resource where the gathered data would be stored. For details on Access Code, please refer to the following links:
https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/userguide_en.pdf
https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/apireference_en.pdf
https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/portalmanual_en.pdf
- Set up URI for the resource where the gathered data would be stored. For details, please refer to the following link:
https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/userguide_en.pdf
https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/apireference_en.pdf
Building Example
- Import this sample program onto mbed Compiler
- Configure the program in accordance with the description of Application Setup above
- Compile the sample program
- Plug the Ethernet cable into GR-PEACH if you would like Ethernet mode
- Plug micro-USB cable into the OpenSDA port which lies on the next to the RESET button
- Copy the binary previously downloaded to your PC to GR-PEACH in order to flash this program. When the copy is successfully completed, the drive named MBED should be re-mounted automatically
- Press the RESET button on the board to run the sample application
Data Format sent to IoT Platform
In this sample program, the cognitive data and sensing data are serialized into the following JSON format using picojson (https://developer.mbed.org/users/mimil/code/picojson/):
- Face detection data
{ "RecordType": "HVC-P2(face)", "id": "<GR-PEACH ID>-<Sensor ID>", "Age": xxx, "FaceRectangle": { "Height": xxx, "Left": xxx, "Top": xxx, "Width": xxx }, "Gender": xxx, "Scores": { "Anger": xxx, "Happiness": xxx, "Neutral": xxx, "Sadness": xxx, "Surprise": xxx } }
- Body detection data
{ "RecodeType": "HVC-P2(body)", "id": "<GR-PEACH ID>-<Sensor ID>", "BodyRectangle": { "Height": xxx, "Left": xxx, "Top": xxx, "Width": xxx } }
- Accelerometer data
{ "RecodeType": "Accelerometer", "id": "<GR-PEACH ID>-<Sensor ID>", "data": [ acceleratoin(x-direction), acceleration(y-direction), acceleration(z-direction), null, null, null ] }
Note that data[0], data[1] and data[2] are filled with the acceleration data in x, y and z direction respectively, and the remaining elements are filled with null.
- Atmosphere data
{ "RecodeType": "Atmosphere", "id": "<GR-PEACH ID>-<Sensor ID>", "data": [ atmosphere data, null, null, null, null, null ] }
Note that data[0] is filled with atmosphere data, and the remaining elements are filled with null.
- Color sensor data
{ "RecodeType": "Color", "id": "<GR-PEACH ID>-<Sensor ID>", "data": [ Red, Green, Blue, Alpha, null, null] }
Note that data[0], data[1], data[2] and data[3] are filled with Red, Green, Blue and Alpha elements of color respectively, and the remaining elements are filled with null.
- Temperature data
{ "RecodeType": "Temperature", "id": "<GR-PEACH ID>-<Sensor ID>", "data": [ Temperature, null, null, null, null, null ] }
Note that data[0] is filled with temperature data, the remaining elements are filled with null.
- Geomagnetism
{ "RecodeType": "Geomagnetism", "id": "<GR-PEACH ID>-<Sensor ID>", "data": [ geomagnetism(x-direction), geomagnetism(y-direction), geomagnetism(z-direction), null, null, null] }
Note that data[0], data[1] and data[2] are filled with the geomagnetism data in x, y and z direction respectively, and the remaining elements are filled with null.
Diff: IoT_Platform/iot_platform.cpp
- Revision:
- 6:ff12fc4d75f0
- Parent:
- 5:2a16f2a5bd02
--- a/IoT_Platform/iot_platform.cpp Thu Sep 07 17:27:20 2017 +0900 +++ b/IoT_Platform/iot_platform.cpp Fri Mar 16 18:46:36 2018 +0900 @@ -10,6 +10,7 @@ #include "BH1745NUC.h" #include "bh1745_driver.h" #include "I2CCommon.h" +#include "BM1422AGMV.h" #if DEMO == DEMO_HTTP #include "easy-connect.h" @@ -24,10 +25,12 @@ uint32_t result_hvcp2_fd_cnt; Timer http_resp_time; // response time -uint16_t data[4]; //for color data +uint16_t data[4]; // for color data +float magne[3]; // for geomagnetism data BM1383GLV sensor_BM(I2C_SDA, I2C_SCL); // Atmosphere -KX022 sensor_acc(I2C_SDA, I2C_SCL); // Accelerometer +KX022 *sensor_acc; // Accelerometer +BM1422AGMV sensor_magne(I2C_SDA, I2C_SCL); // Geomagnetism #define JST_OFFSET 9 @@ -42,12 +45,13 @@ // json-object for camera picojson::object o_bd[DETECT_MAX], o_fd[DETECT_MAX], o_fr[DETECT_MAX], o_scr[DETECT_MAX]; // json-object for sensor -picojson::object o_acc, o_atmo, o_col, o_temp; +picojson::object o_acc, o_atmo, o_col, o_temp, o_magne; picojson::array data_array_acc(6); picojson::array data_array_atmo(6); picojson::array data_array_col(6); picojson::array data_array_temp(6); +picojson::array data_array_magne(6); // URI for GET request std::string get_uri("<Base URI>/v1/<Tenant ID>/<Path-to-Resource>/_past.json"); @@ -147,6 +151,11 @@ MBED_ASSERT(error==0); } +void get_geomagnetism_value(void) +{ + sensor_magne.get_val(magne); +} + int send_sensor_info(NetworkInterface *network) { @@ -155,17 +164,19 @@ o_atmo["RecordType"] = picojson::value((string)"Atmosphere"); o_col["RecordType"] = picojson::value((string)"Color"); o_temp["RecordType"] = picojson::value((string)"Temperature"); + o_magne["RecordType"] = picojson::value((string)"Geomagnetism"); /* ID */ o_acc["id"] = picojson::value((string)"0001-0001"); o_atmo["id"] = picojson::value((string)"0001-0002"); o_col["id"] = picojson::value((string)"0001-0003"); o_temp["id"] = picojson::value((string)"0001-0004"); + o_magne["id"] = picojson::value((string)"0001-0005"); /* Accelerometer data array */ - data_array_acc[0] = picojson::value((double)sensor_acc.getAccX()); - data_array_acc[1] = picojson::value((double)sensor_acc.getAccY()); - data_array_acc[2] = picojson::value((double)sensor_acc.getAccZ()); + data_array_acc[0] = picojson::value((double)sensor_acc->getAccX()); + data_array_acc[1] = picojson::value((double)sensor_acc->getAccY()); + data_array_acc[2] = picojson::value((double)sensor_acc->getAccZ()); /* Atmosphere data array */ data_array_atmo[0] = picojson::value((double)sensor_BM.getPressure()); @@ -179,11 +190,18 @@ /* Temperature data array */ data_array_temp[0] = picojson::value((double)sensor_BM.getTemperature()); + /* Geomagnetism data array */ + get_geomagnetism_value(); + for(int i = 0; i < 3; i++) { + data_array_magne[i] = picojson::value(picojson::value((double)magne[i])); + } + /* Combine data array with object. */ o_acc["data"] = picojson::value(data_array_acc); o_atmo["data"] = picojson::value(data_array_atmo); o_col["data"] = picojson::value(data_array_col); o_temp["data"] = picojson::value(data_array_temp); + o_magne["data"] = picojson::value(data_array_magne); http_resp_time.reset(); http_resp_time.start(); @@ -193,6 +211,7 @@ iot_put(network, o_atmo); iot_put(network, o_col); iot_put(network, o_temp); + iot_put(network, o_magne); DEBUG_PRINT("iot_put() Response time:%dms\n", http_resp_time.read_ms()); @@ -213,7 +232,7 @@ o_scr[i].clear(); /* Type */ o_fd[i]["RecordType"] = picojson::value((string)"HVC-P2(face)"); - o_fd[i]["id"] = picojson::value((string) "0001-0005"); + o_fd[i]["id"] = picojson::value((string) "0001-0006"); /* Age */ o_fd[i]["Age"] = picojson::value((double)result_hvcp2_fd[i].age.age); /* Gender */ @@ -244,7 +263,7 @@ o_bd[i].clear(); /* Type */ o_bd[i]["RecordType"] = picojson::value((string)"HVC-P2(body)"); - o_bd[i]["id"] = picojson::value((string)"0001-0006"); + o_bd[i]["id"] = picojson::value((string)"0001-0007"); /* BodyRectangle */ o_bd[i]["Top"] = picojson::value((double)result_hvcp2_bd[i].body_rectangle.MinY); o_bd[i]["Left"] = picojson::value((double)result_hvcp2_bd[i].body_rectangle.MinX); @@ -280,6 +299,8 @@ void iot_ready_task(void) { + KX022 acc(I2C_SDA, I2C_SCL); + sensor_acc = &acc; /* Initialize http */ NetworkInterface *network = easy_connect(true);