sensors

Tizen wearable sensor data loss in background after wifi is switched off

99封情书 提交于 2020-12-04 11:55:22
问题 I am developing a hybrid application for Tizen Wearable 2.3. For the application, accelerometer and gyroscope sensor data is extracted and written to a file in native service application at a frequency of 100Hz. However, in certain trials I see that data is lost after few minutes upon switching off WiFi. For instance, if I record the data for 10 minutes, while keeping the app in background (display off) and turn off wifi during the fifth minute, the file shows data for only first 5 minutes,

mtk平台hw_get_module分析

人盡茶涼 提交于 2020-03-15 17:11:35
google为了保护硬件厂商的信息,在android中添加了一层HAL层。查看HAL的编写方法的过程中,发现整个模块没有一个入口。一般应用程序有main函数,可以让加载器进行加载执行,而对于动态链接库,我们可以对库中导出的任何符号进行调用。 android中的HAL需要上层的函数对其进行加载调用,android的HAL加载器是如何实现对不同的Hardware Module进行通用性的调用的呢? 查看源码的过程中发现android中实现调用HAL是通过hw_get_module实现的。 int hw_get_module(const char *id, const struct hw_module_t **module) { return hw_get_module_by_class(id, NULL, module); } 这是其函数原型,id会指定Hardware的id,这是一个字符串,比如我们比较熟悉的sensor的id是#define SENSORS_HARDWARE_MODULE_ID "sensors",如果找到了对应的hw_module_t结构体,会将其指针放入*module中。看看它的实现。 int hw_get_module_by_class(const char *class_id, const char *inst, const struct hw_module

how to bind thermal sensor with cooling device using lookup table in code

我只是一个虾纸丫 提交于 2020-03-05 04:34:26
问题 i want to bind thermal sensor with cooling device ( fan ) using lookup table. I know how to do it using DTs ( device tree) but never worked using lookup table in code for same. I need help on how to do same on code using lookup table what we use to do using device tree. for example thermal-zones { cpu_thermal: cpu-thermal { polling-delay-passive = <250>; /* milliseconds */ polling-delay = <1000>; /* milliseconds */ thermal-sensors = <&bandgap0>; trips { cpu_alert0: cpu-alert0 { temperature =

how to bind thermal sensor with cooling device using lookup table in code

99封情书 提交于 2020-03-05 04:34:14
问题 i want to bind thermal sensor with cooling device ( fan ) using lookup table. I know how to do it using DTs ( device tree) but never worked using lookup table in code for same. I need help on how to do same on code using lookup table what we use to do using device tree. for example thermal-zones { cpu_thermal: cpu-thermal { polling-delay-passive = <250>; /* milliseconds */ polling-delay = <1000>; /* milliseconds */ thermal-sensors = <&bandgap0>; trips { cpu_alert0: cpu-alert0 { temperature =

Resistive Force Sensors

半城伤御伤魂 提交于 2020-01-25 16:18:33
Resistive Force Sensors Resistive force sensors can be used in any product where you want to detect first touch as well as changes in applied force. We have developed custom resistive force sensors for a wide range of clients in sizes ranging from 8mm diameter round sensors to strip sensors that are several feet long. Developing a custom resistive force sensor with Tangio starts out with a discovery phase where our engineers will discuss with you your requirements and constraints. We will provide expert advice not only on the sensor design but also on the sensor integration into your product

InfluxDB: How to backfill measurement tags that were previously not measured (if possible at all)?

大憨熊 提交于 2019-12-24 06:41:21
问题 I'm started logging data from my Smart Meter using Node-RED about a month ago, it looked like this json data (the payload is the important bit): { "topic":"stat/smartmeter/all", "payload":"{ \"kwh_low_tarrif\":866.696, \"kwh_high_tarrif\":902.156, \"current_tarrif\":1, \"current_watt_draw\":485, \"gas_timestamp\":1554675307000, \"gas_total\":326.509, \"kwh_combined\":1768.852 }", "qos":0, "retain":false, "_topic":"stat/smartmeter/all", "_msgid":"db4ebc0.72b9a48" } The problem with this data

linux 查看cpu温度,安装lm_sensors工具

强颜欢笑 提交于 2019-12-06 18:10:47
安装lm_sensors工具即可查看温度了 yum -y install lm_sensors rpm -qa|grep coretemp 看一下有没有kmod-coretemp,没有的话需要安装这个 x86和x64的系统直接wget http://www.pperry.f2s.com/linux/coretemp/kmod-coretemp-1.1-2.el5.x86_64.rpm 然后 rpm -ivh kmod-coretemp-1.1-2.el5.x86_64.rpm 安装即可。 接着执行 sensors-detect 命令,一路yes到底即可。 最终,使用sensors 命令可以查看温度,如: [root @localhost 软件]# sensors coretemp-isa-0000 Adapter: ISA adapter Core 0: +38°C (high = +100°C) coretemp-isa-0001 Adapter: ISA adapter Core 1: +31°C (high = +100°C) 来源: oschina 链接: https://my.oschina.net/u/878142/blog/99058

CentOS 安装lm_sensors 温度监控

孤街醉人 提交于 2019-12-05 11:53:48
CentOS 安装lm_sensors 温度监控 首先查看是否安装,系统默认安装了 #rpm -qa|grep sensors lm_sensors-devel-3.1.1-17.el6.x86_64 lm_sensors-libs-3.1.1-17.el6.x86_64 lm_sensors-3.1.1-17.el6.x86_64 下载最新的sensors-detect # cd /usr/sbin/ # rm -rf sensors-detect # wget http://dl.lm-sensors.org/lm-sensors/files/sensors-detect --2013-10-16 10:54:28-- http://dl.lm-sensors.org/lm-sensors/files/sensors-detect 正在解析主机 dl.lm-sensors.org... 160.45.254.26 正在连接 dl.lm-sensors.org|160.45.254.26|:80... 已连接。 已发出 HTTP 请求,正在等待回应... 200 OK 长度:202216 (197K) [text/plain] 正在保存至: “sensors-detect” 100%[======================================>] 202,216

CentOS安装lm_sensors温度监控

 ̄綄美尐妖づ 提交于 2019-12-04 14:46:26
CentOS安装lm_s ensors温度监控 注意,本文为64位操作系统下的实例,可根据操作系统的版本下载相应的版本文件。 CentOS 安装lm_sensors 温度监控 首先查看是否安装,系统默认安装了 #rpm -qa|grep sensors lm_sensors-devel-3.1.1-17.el6.x86_64(自己安装完成有时可以没有这个包) lm_sensors-libs-3.1.1-17.el6.x86_64 lm_sensors-3.1.1-17.el6.x86_64 没有安装在这里下载rpm包: http://rpm.pbone.net/index.php3/stat/3/limit/1/srodzaj/1/dl/40/search/lm_sensors 下载完成后安装双击安装,出现提示依赖,直接install即可。 下载最新的sensors-detect(可不执行) # cd /usr/sbin/ # rm -rf sensors-detect # wget http://dl.lm-sensors.org/lm-sensors/files/sensors-detect 给予权限: # chmod 755 sensors-detect 安装coretemp: #wget http://www.pperry.f2s.com/linux/coretemp

KML layer does not always respond to clicks [ Google Maps API ]

匿名 (未验证) 提交于 2019-12-03 09:02:45
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am working on a project .jsp file, that displays 4 kml layers: gas pipes, gas sensors, valves, and areas. The problem is that I want to extract data from the placemark's description and use it, but when I click the placemark, sometimes it works, other it doesn't. And I simply can't see why.. I have created a JSFiddle example of my code. I've added 2 kml layers, one for pipes and one for sensors. Each pipe has multiple sensors( or at least one). I added the layers one after the other on metadata change to be sure of layer order consistency.