基于μC/OS-Ⅲ的供电综保数据采集处理系统设计

doi:10.16180/j.cnki.issn1007-7820.2020.07.001

Abstract

Abstract:

Aiming at the demand of multitask, real-time and reliable operation of the data acquisition and processing system of power supply integrated protector, combined with the M3 core chip,using μC/OS-III real-time operating system to design the data acquisition and processing system of power supply integrated protector. By analyzing the functions of the data acquisition and processing system, the system was divided into five tasks with different priorities,the planning and design of the operating system was based on the characteristics and requirements of the application tasks, task synchronization was realized by semaphores and event flag groups, task communication and resource sharing were realized through message queues and mutex semaphore. System operation was detected using μC/Probe, the application tasks Stack Usage was less than 70%, the CPU Usage was 52.35% ,and the Interrupt Disable Time was up to 3.31 ms, verified that the system could run reliably in real time。

Key words: data acquisition and processing, M3 chip, μC/OS-Ⅲ real-time operating system, multitasking, operation management, μC/Probe detection

CLC Number:

TP39

GUO Yanan,WU Yaohui,WU Haozhen. Design of Data Acquisition and Processing System for Power Supply Integrated Protector Based on μC/OS-Ⅲ[J].Electronic Science and Technology, 2020, 33(7): 1-5.

Figures/Tables 9

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References 16

[1]	韩云杰, 刘宇红, 包化伟. 对多路数据采集存储的设计实现[J]. 电子科技, 2014,27(6):137-139.
	Han Yunjie, Liu Yuhong, Bao Huawei. Design andImplementation of multi-channel data acquisition and storage[J]. Electronic Science and Technology, 2014,27(6):137-139.
[2]	卢有亮 . 嵌入式实时操作系统μC/OS原理与实践[M]. 北京: 电子工业出版社, 2014.
	Lu Youliang. Principle and practice of embedded real-time operating system μC/OS[M]. Beijing:Publishing House of Electronics Industry, 2014.
[3]	刘火良, 杨森. STM32库开发实战指南[M]. 北京: 机械工业出版社, 2013.
	Liu Huoliang, Yang Sen. STM32 library development practical guide[M]. Beijing: China Machine Press, 2013.
[4]	刘思. 基于μC/OS-III的井下供电智能综合保护器设计[D]. 焦作:河南理工大学, 2017.
	Liu Si. Design of intelligent integrated protector ofunderground power supply based on μC/OS-III[D]. Jiaozuo:Henan Polytechnic University, 2017.
[5]	冯朴. 一种电力监控与数据采集系统设计[J]. 电子科技, 2011,24(8):44-45.
	Feng Pu. Design of power supervisory control anddata acquisition system[J]. Electronic Science and Technology, 2011,24(8):44-45.
[6]	李宁, 张国琛. 基于CMSIS标准的Cortex-M3应用软件开发[J].单片机与嵌入式系统应用, 2009(11):18-20,23.
	Li Ning, Zhang Guochen. Application software development of Cortex-M3 based on CMSIS standard[J].Microcontrollers & Embedded Systems, 2009(11):18-20,23.
[7]	白勇斌, 张汉光, 黄强 . 基于STemWin的STM32开发与实践[M]. 北京: 电子工业出版社, 2015.
	Bai Yongbin, Zhang Hanguang, Huang Qiang. STM32 development and practice based on STemWin[M]. Beijing:Publishing House of Electronics Industry, 2015.
[8]	吴尧辉, 吴天博. 基于Cortex-M3的新型图形交互式智能综合综保设计[J].煤矿机电, 2016(1):7-11.
	Wu Yaohui, Wu Tianbo. Design of new graphical interaction intelligent integrated protector based on Cortex-M3[J].Coalel Ectrical Machinery, 2016(1):7-11.
[9]	仲伟, 丁宁, 吴参林, 等. 图形化编程的继电保护软件平台设计[J]. 电力系统保护与控制, 2011,39(3):100-104,147. doi: 10.7667/j.issn.1674-3415.2011.03.019
	Zhong Wei, Ding Ning, Wu Canlin, et al. Software architecture and design of the schematic programable development platform for protective relay[J]. Power System Protection and Control, 2011,39(3):100-104,147. doi: 10.7667/j.issn.1674-3415.2011.03.019
[10]	汤莉莉, 黄伟. 基于STM32的FSMC接口驱动TFT彩屏设计[J]. 现代电子技术, 2013,36(20):139-141,144.
	Tang Lili, Huang Wei. Method to drive TFT color screen by means of FSMC interface on STM32[J]. Modern Electronics Technique, 2013,36(20):139-141,144.
[11]	龙雷. 基于FPGA的多通道数据采集系统设计[J]. 电子科技, 2014,27(1):128-130.
	Long Lei. Design of multichannel data acquisition system based on FPGA[J]. Electronic Science and Technology, 2014,27(1):128-130.
[12]	柴文峰, 丁学明. 基于STM32单片机CAN通信控制网络设计[J]. 电子科技, 2017,30(3):142-145.
	Chai Wenfeng, Ding Xueming. Design of CAN communication control network based on STM32 MCU[J]. Electronic Science and Technology, 2017,30(3):142-145.
[13]	张勇, 夏家莉, 陈滨, 等. 嵌入式实时操作系统μC/OS-III应用技术:基于ARM Cortex-M3 LPC1788[M]. 北京: 北京航空航天大学出版社, 2013.
	Zhang Yong, Xia Jiali, Chen Bin, et al. μC/OS-III-the real-time kernel for LPC1788 ARM Cotex-M3[M]. Beijing: Beihang University of Aeronautics andAstronautics Press, 2013.
[14]	黄彬, 徐海贤, 庞庆. μC/OS-III在STM32处理器上的移植[J].中国仪器仪表, 2014(3):37-42.
	Huang Bin, Xu Haixian, Pang Qing. Porting μC/OS-III to the STM32 ARM processor[J].China Instrumentation, 2014(3):37-42
[15]	屈环宇, 刘姳如. μC/OS-III的内核对象解析[J]. 单片机与嵌入式系统应用, 2012,12(6):79-81.
	Qu Huanyu, Liu Mingru. Kernel object analysis of μC/OS-III[J]. Microcontrollers & Embedded Systems, 2012,12(6):79-81.
[16]	陆伟, 张龙妹. 嵌入式操作系统混合任务调度技术与策略研究[J]. 计算机工程与应用, 2015,51(15):6-11.
	Lu Wei, Zhang Longmei. Mixed tasks schedulingtechnique and policy in embedded operating systems[J]. Computer Engineering and Applications, 2015,51(15):6-11.

信号源	GPIO 端口	ADC通道	采样时间/μs
A相电压	PC0	ADC1_IN10	41.5
B相电压	PC2	ADC1_IN12	41.5
C相电压	PC4	ADC1_IN14	41.5
A相电流	PC1	ADC1_IN11	41.5
B相电流	PC2	ADC1_IN13	41.5
C相电流	PC5	ADC1_IN15	41.5
直流电流	PA3	ADC1_IN3	41.5
零序电压	PA1	ADC1_IN1	71.5
零序电流	PA2	ADC1_IN2	71.5
A相电流	PA4	ADC2_IN11	41.5
B相电流	PA5	ADC2_IN12	41.5
C相电流	PA6	ADC2_IN13	41.5
直流电流	PA7	ADC2_IN14	41.5

任务	优先级	堆栈/Byte	执行频率/Hz
数据采集(DataAcquire)	2	64	50
数据处理(DataProcess)	4	160	50
数据存储(DataStore)	6	150	10
数据通信(CommunicationⅡ)	8	64	10
数据显示(GUI)	10	750	10

序号	通信数据	数据量	通信方式
1	ADC采集信号	多	全局变量
2	故障信息	较多	全局变量
3	数据存储命令	少	消息队列
4	数据通信	少	消息队列

Design of Data Acquisition and Processing System for Power Supply Integrated Protector Based on μC/OS-Ⅲ

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