CN107561990A - A kind of industrial sensor signal picker and acquisition method based on edge calculations - Google Patents

A kind of industrial sensor signal picker and acquisition method based on edge calculations Download PDF

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CN107561990A
CN107561990A CN201710919649.7A CN201710919649A CN107561990A CN 107561990 A CN107561990 A CN 107561990A CN 201710919649 A CN201710919649 A CN 201710919649A CN 107561990 A CN107561990 A CN 107561990A
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万加富
易鸣伦
陈宝通
汤胜龙
李迪
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South China University of Technology SCUT
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Abstract

本发明公开了一种基于边缘计算的工业传感信号采集器及采集方法。将整个工业场景中的信息采集按设备及其职能划分为局部信息采集、区域信息采集及全局信息采集。局部信息采集由传感器信号采集器负责收集所在区域内的传感器信息,根据采集信息的来源及类型对其进行格式转化、报警输出等处理;区域信息采集由边缘计算平台来收集所管辖的局部信息采集节点的传感器信息,对获取的常规信息进行压缩、暂存、上传等处理,对故障信息进行实时响应处理;全局信息采集的实现在于云计算平台将边缘计算平台的上传信息进行解压与存储,以此实现云计算平台对工业生产数据的全局分析。

The invention discloses an industrial sensing signal collector and a collection method based on edge computing. The information collection in the entire industrial scene is divided into local information collection, regional information collection and global information collection according to the equipment and its functions. For local information collection, the sensor signal collector is responsible for collecting sensor information in the area, and performs format conversion and alarm output processing according to the source and type of collected information; regional information collection is collected by the edge computing platform. The sensor information of the node is processed by compressing, temporarily storing, and uploading the acquired conventional information, and responding to the fault information in real time; the realization of the global information collection lies in the cloud computing platform decompressing and storing the uploaded information of the edge computing platform to This realizes the global analysis of industrial production data on the cloud computing platform.

Description

一种基于边缘计算的工业传感信号采集器及采集方法An industrial sensing signal collector and collection method based on edge computing

技术领域technical field

本发明涉及工业自动化控制技术领域,尤其涉及一种基于边缘计算的工业传感信号采集器及采集方法。The invention relates to the technical field of industrial automation control, in particular to an edge computing-based industrial sensor signal collector and a collection method.

背景技术Background technique

随着信息物理融合系统及物联网技术的快速发展,数据已成为影响工业改造和升级的重要因素。在现阶段的工业控制系统中,被检测到的数据在控制过程中仅是用于触发某一事件的响应,此外,工业应用中现有的控制设施也不具备对被检测数据的预测分析、大量存储等处理机制。因此,需要结合相应的传感器信号采集设备及结合网络信息技术来实现对工业生产数据的大规模采集、存储、分析等处理。With the rapid development of cyber-physical fusion systems and Internet of Things technology, data has become an important factor affecting industrial transformation and upgrading. In the current industrial control system, the detected data is only used to trigger a response to an event during the control process. In addition, the existing control facilities in industrial applications do not have the ability to predict and analyze the detected data, Mass storage and other processing mechanisms. Therefore, it is necessary to combine corresponding sensor signal acquisition equipment and network information technology to realize large-scale acquisition, storage, analysis and other processing of industrial production data.

工业控制系统是由多种类型的控制设备、传感设备及执行设备构成,其位置布局也相对分散。其中,传感器信号采集节点数量众多,也不具备数据存储及转换功能,这使得对于工业数据的采集、分析、储存等处理变得困难。边缘计算融合了网络、计算、存储、应用的核心能力,可以弥补现有工业控制系统在传感器信号采集与处理上的缺陷,同时又可以解决工业控制高实时性要求与互联网服务质量的不确定性的矛盾。边缘计算正是充分利用物端的嵌入式计算能力,以分布式信息处理的方式实现物端的智能和自治,并与云计算结合,通过云端的交互协作,实现系统的预测性维护、能效管理及整体智能化。The industrial control system is composed of various types of control equipment, sensing equipment and execution equipment, and its location layout is relatively scattered. Among them, there are a large number of sensor signal acquisition nodes, and they do not have data storage and conversion functions, which makes it difficult to process industrial data collection, analysis, and storage. Edge computing integrates the core capabilities of network, computing, storage, and applications, which can make up for the shortcomings of existing industrial control systems in sensor signal acquisition and processing, and at the same time solve the high real-time requirements of industrial control and the uncertainty of Internet service quality contradiction. Edge computing is to make full use of the embedded computing capabilities of the object end, realize the intelligence and autonomy of the object end in the form of distributed information processing, and combine it with cloud computing to realize predictive maintenance, energy efficiency management and overall Intelligent.

发明内容Contents of the invention

本发明的目的在于克服上述现有技术的缺点和不足,提供一种基于边缘计算的工业传感信号采集器及采集方法。The purpose of the present invention is to overcome the shortcomings and deficiencies of the above-mentioned prior art, and provide an industrial sensing signal collector and collection method based on edge computing.

本发明通过下述技术方案实现:The present invention realizes through following technical scheme:

1、一种基于边缘计算的工业传感信号采集方法,其特征在于包括如下步骤:包括局部信息采集步骤;区域信息采集步骤;全局信息采集步骤;1. An industrial sensing signal acquisition method based on edge computing, characterized in that it comprises the following steps: comprising a local information acquisition step; a regional information acquisition step; a global information acquisition step;

一、局部信息采集步骤1. Local information collection steps

传感器信号采集器接收多个传感器采集的信息,并为每个不同来源不同类型的信息进行分析和处理,其处理方式如下:The sensor signal collector receives information collected by multiple sensors, and analyzes and processes different types of information from different sources. The processing method is as follows:

对于数字量信号,传感器信号采集器将记录其高/低电平信号的改变及发生的时间,其数据的存储格式如附图3所示,其中“D”代表该信息为数字量信号,“Num(i)”为第i个传感器,“0/1”为传感器检测输出的高低电平信号(“1”:为高电平,“0”:为低电平),“T”为检测时间;For digital signals, the sensor signal collector will record the change of its high/low level signal and the time of occurrence, and its data storage format is shown in Figure 3, where "D" means that the information is a digital signal, " Num(i)" is the i-th sensor, "0/1" is the high and low level signal of the sensor detection output ("1": high level, "0": low level), "T" is the detection time;

对于模拟量信号,传感器信号采集器将对其进行采样处理并记录采样时间,采样周期按实际需要设置,其数据的存储格式如附图4所示,其中“A”代表该信息为关量信号,“Num(i)”为第i个传感器,“data”为传感器检测输出的采用信号,“T”为检测时间。For the analog signal, the sensor signal collector will sample it and record the sampling time. The sampling period is set according to actual needs. The data storage format is shown in Figure 4, where "A" means that the information is an off-quantity signal , "Num(i)" is the i-th sensor, "data" is the adopted signal of sensor detection output, and "T" is the detection time.

二、区域信息采集步骤2. Regional information collection steps

区域信息采集的实现在于,边缘计算平台对其所管辖的多个局部信息采集节点的传感器信息采集;在区域信息采集中,为了避免数量众多的局部信息采集节点文件信息的集中性上传而造成网路阻塞或服务器宕机,因此采用分时轮询的方式让边缘计算平台逐步访问所管辖的传感器信息采集器;边缘计算平台作为一个网络站点,通过Web服务提供数据通道接口给所管辖区域内的传感器信息采集器,采用Http协议进行信息交互;在数据接收过程中,边缘计算平台对于检测到的故障信号将会进行及时响应给相关监控设备及维护人员;对于检测到的常规信息将会进行文件压缩和暂时存储处理,等待定时计时完成在进行数据上传;The realization of regional information collection lies in the sensor information collection of multiple local information collection nodes under the jurisdiction of the edge computing platform; in the regional information collection, in order to avoid the centralized upload of a large number of local information Therefore, time-sharing polling is used to allow the edge computing platform to gradually access the sensor information collectors under its jurisdiction; as a network site, the edge computing platform provides a data channel interface to the area under its jurisdiction through Web services The sensor information collector uses the Http protocol for information interaction; during the data receiving process, the edge computing platform will respond to the detected fault signals in a timely manner to the relevant monitoring equipment and maintenance personnel; the detected routine information will be documented Compression and temporary storage processing, waiting for the timing to complete before uploading data;

三、全局信息采集步骤3. Global information collection steps

全局信息采集的实现在于云计算平台作为整个工业网络的信息枢纽中心,通过Web服务提供数据通道接口与边缘计算平台进行信息交互;云计算平台负责将所接收到的压缩文件进行解压分析,通过遍历数据的方式及结合数据挖掘技术来挖掘数据产生的周期、预测工业事件发生概率与时间段、以及实现工业生产全局信息的整理和分析。The realization of global information collection lies in the fact that the cloud computing platform, as the information hub of the entire industrial network, provides data channel interfaces through Web services to interact with the edge computing platform; the cloud computing platform is responsible for decompressing and analyzing the received compressed files, and through The way of data and the combination of data mining technology to mine the cycle of data generation, predict the probability and time period of industrial events, and realize the collation and analysis of the overall information of industrial production.

局部信息采集过程中,传感器信号采集器在采集信息时按照程序指令将信息封装整理,对于所标记不同信息类型采用不同传送方式及传送格式;对于信息处理流程如附图5所示,对于数字量信号的处理流程如图6所示,传感器信号采集器的控制模块通过引脚检测到电位的改变来触发事件,当检测到常规信号时,将其按照附图3的数据格式进行转化和存储后,采用定时传输的方式上传其压缩后的存储文件;当检测到故障信号时,将输出故障报警信号,同时对故障发生事件进行备份记录;In the process of local information collection, the sensor signal collector packs and organizes the information according to the program instructions when collecting information, and adopts different transmission methods and transmission formats for different types of marked information; the information processing flow is shown in Figure 5, and the digital quantity The signal processing flow is shown in Figure 6. The control module of the sensor signal collector detects the change of the potential through the pin to trigger an event. When a conventional signal is detected, it is converted and stored according to the data format in Figure 3 , upload the compressed storage file by means of regular transmission; when a fault signal is detected, a fault alarm signal will be output, and at the same time, a backup record will be made of the fault occurrence event;

对于模拟量信号的处理流程如图7所示,传感器信号采集器的控制模块通过引脚定时采样数据,当采样值在正常检测范围内时,将其按照附图4的数据格式进行转化和存储,采用定时传输的方式上传其压缩后的存储文件;当采样值超出正常检测范围但故障累计时间没超出设定值T时,同样按上一个描述情况进行处理;当采样值超出正常检测范围且故障累计时间超出设定值T时,将输出故障报警信号,同时对故障发生事件进行备份记录。The processing flow of the analog signal is shown in Figure 7. The control module of the sensor signal collector samples data regularly through the pins. When the sampled value is within the normal detection range, it is converted and stored according to the data format of Figure 4. , and upload the compressed storage file by regular transmission; when the sampling value exceeds the normal detection range but the accumulated fault time does not exceed the set value T, it will also be processed according to the previous description; when the sampling value exceeds the normal detection range and When the cumulative fault time exceeds the set value T, a fault alarm signal will be output, and a backup record will be made of the fault occurrence event.

传感器信号采集器,其包括:A sensor signal collector, which includes:

用于数据分析与处理的控制模块;控制模块采用ARM处理器,设定负责信号接收模块引脚功能定义、负责信号采集与传送的周期、负责信号储存的数据格式定义及信息类型定义;A control module for data analysis and processing; the control module adopts an ARM processor, which is responsible for the definition of the pin function of the signal receiving module, the cycle of signal acquisition and transmission, the definition of data format and information type definition of signal storage;

用于数据传输的通讯模块;通讯模块内设置有WiFi模块和以太网卡,负责控制模块的信息的输入与传送;A communication module for data transmission; the communication module is equipped with a WiFi module and an Ethernet card, which is responsible for the input and transmission of the information of the control module;

用于数据存储的存储模块,用于储存已被处理后的信息数据;A storage module for data storage, used to store processed information data;

用于传感器数据接入的信号接收模块;信号接收模块提供引脚负责接收传感器信息,采用单输入双输出电路负责将接入信号分为两路信号,一份传递给信号输出模块,一份用于转化后传递给控制模块;信号接收模块的引脚接入信号类型由控制模块定义,若定义为数字量信号,则直接将接入的信号传递给控制模块;若定义为模拟量信号,则需经过模数转换电路处理后传递给控制模块。Signal receiving module for sensor data access; the signal receiving module provides pins to receive sensor information, and a single-input and double-output circuit is responsible for dividing the access signal into two signals, one for the signal output module and one for the signal output module. After conversion, it is transmitted to the control module; the pin access signal type of the signal receiving module is defined by the control module. If it is defined as a digital signal, the input signal will be directly transmitted to the control module; if it is defined as an analog signal, then It needs to be processed by the analog-to-digital conversion circuit and then passed to the control module.

用于传感器数据输出到对应的控制器的信号输出模块;信号输出模块提供引脚负责将数据接收模块所传递的信号直接输送到对应的控制器。The signal output module is used to output the sensor data to the corresponding controller; the signal output module provides pins responsible for directly transmitting the signal transmitted by the data receiving module to the corresponding controller.

本发明的优点及效果在于:Advantage and effect of the present invention are:

局部信息采集的实现在于传感器信号采集器对某块控制区域内的传感器信息的采集,并对其进行分析、格式化、添加采集时间及存储的处理,以及按信息类型分配优先级进行上传。The realization of local information collection is that the sensor signal collector collects sensor information in a certain control area, analyzes it, formats it, adds collection time and storage processing, and assigns priority according to information type for uploading.

传感器信号采集器主要由用于数据分析与处理的控制模块、用于传感器数据接入的信号接收模块、用于数据存储的存储模块、用于传感器数据输出到对应的控制器的信号输出模块及用于数据传输的通讯模块组成。The sensor signal collector is mainly composed of a control module for data analysis and processing, a signal receiving module for sensor data access, a storage module for data storage, a signal output module for sensor data output to the corresponding controller, and Composition of communication modules for data transmission.

控制模块采用ARM处理器,通过程序编写设定负责信号接收模块引脚功能定义、负责信号采集与传送的周期、负责信号储存的数据格式定义及信息类型定义。The control module adopts the ARM processor, which is responsible for the definition of the pin function of the signal receiving module, the cycle of signal acquisition and transmission, the definition of the data format and the definition of the information type of the signal storage through programming.

信号接收模块提供引脚负责接收传感器信息,采用单输入双输出电路负责将接收的信号分为两路信号,一份传递给信号输出模块,一份用于转化后传递给控制模块。The signal receiving module provides pins to receive sensor information, and a single-input and double-output circuit is used to divide the received signal into two signals, one for transmission to the signal output module and one for conversion to the control module.

信号接收模块的引脚接入信号类型由控制模块定义,若定义为数字量信号,则直接将接入的信号传递给控制模块;若定义为模拟量信号,则需经过模数转换电路处理后传递给控制模块。The pin access signal type of the signal receiving module is defined by the control module. If it is defined as a digital signal, the input signal is directly transmitted to the control module; if it is defined as an analog signal, it needs to be processed by an analog-to-digital conversion circuit. passed to the control module.

存储模块用于储存已被处理后的信息数据。The storage module is used for storing the processed information data.

信号输出模块提供引脚负责将数据接收模块所传递的信号直接输送到对应的控制器。The signal output module provides pins responsible for directly delivering the signal transmitted by the data receiving module to the corresponding controller.

通讯模块内设置有WiFi模块和以太网卡,负责控制模块的程序写入及信息的传送,其通讯方式的实现可以采用WiFi信息传递方式和以太网信息传递方式。The communication module is equipped with a WiFi module and an Ethernet card, which are responsible for the program writing of the control module and the transmission of information. The realization of the communication method can adopt the WiFi information transmission method and the Ethernet information transmission method.

区域信息采集的实现在于边缘计算平台对其所管辖的多块控制区域内的传感器信息采集,主要通过工业传感器信号采集器将信息上传来获取,按信号源及传感器类型进行归类压缩,并按信息类型的优先级进行信息上传及信息预警处理。The realization of regional information collection is that the edge computing platform collects sensor information in multiple control areas under its jurisdiction, mainly through industrial sensor signal collectors to upload information to obtain, classify and compress according to signal source and sensor type, and classify and compress according to signal source and sensor type The priority of the information type is used for information upload and information early warning processing.

全局信息采集的实现在于云计算平台与边缘计算平台的信息交互,云计算平台负责将所有传感器信号进行收集、分析、存储、预警的综合处理。The realization of global information collection lies in the information interaction between the cloud computing platform and the edge computing platform. The cloud computing platform is responsible for the comprehensive processing of collecting, analyzing, storing and early warning of all sensor signals.

本发明传感器信号采集器用于支持基于边缘计算的工业传感器信号采集。采集方法的实现主要采用“分而治之”的方式,将整个工业场景中的信息采集按设备及其职能划分为局部信息采集、区域信息采集及全局信息采集。局部信息采集由传感器信号采集器负责收集所在区域内的传感器信息,根据采集信息的来源及类型对其进行格式转化、报警输出等处理;区域信息采集由边缘计算平台来收集所管辖的局部信息采集节点的传感器信息,对获取的常规信息进行压缩、暂存、上传等处理,对故障信息进行实时响应处理;全局信息采集的实现在于云计算平台将边缘计算平台的上传信息进行解压与存储,以此实现云计算平台对工业生产数据的全局分析。The sensor signal collector of the present invention is used to support industrial sensor signal collection based on edge computing. The realization of the collection method mainly adopts the "divide and conquer" method, and the information collection in the entire industrial scene is divided into local information collection, regional information collection and global information collection according to the equipment and its functions. For local information collection, the sensor signal collector is responsible for collecting sensor information in the area, and performs format conversion and alarm output processing according to the source and type of collected information; regional information collection is collected by the edge computing platform. The sensor information of the node is processed by compressing, temporarily storing, and uploading the acquired conventional information, and responding to the fault information in real time; the realization of global information collection lies in the cloud computing platform decompressing and storing the uploaded information of the edge computing platform, and This realizes the global analysis of industrial production data on the cloud computing platform.

附图说明Description of drawings

图1是本发明基于边缘计算的工业传感信号采集方法的总体示意图。Fig. 1 is an overall schematic diagram of the method for collecting industrial sensing signals based on edge computing in the present invention.

图2是本发明实施例的局部信息采集示意图。Fig. 2 is a schematic diagram of local information collection according to an embodiment of the present invention.

图3是本发明实施例的数字量信号数据存储格式示意图。Fig. 3 is a schematic diagram of a digital signal data storage format according to an embodiment of the present invention.

图4是本发明实施例的模拟量信号数据存储格式示意图。Fig. 4 is a schematic diagram of an analog signal data storage format according to an embodiment of the present invention.

图5是本发明实施例的工业传感器信号采集器结构示意图。Fig. 5 is a schematic structural diagram of an industrial sensor signal collector according to an embodiment of the present invention.

图6是本发明实施例的信息处理流程图之一。Fig. 6 is one of the information processing flowcharts of the embodiment of the present invention.

图7是本发明实施例的信息处理流程图之二。Fig. 7 is the second information processing flowchart of the embodiment of the present invention.

具体实施方式detailed description

下面结合具体实施例对本发明作进一步具体详细描述。The present invention will be described in further detail below in conjunction with specific embodiments.

实施例Example

如图1所示,本发明实施的总体示意图所示的基于边缘计算的工业传感器信号采集方法主要采用“分而治之”的方式来划分为三步,分别是局部信息采集、区域信息采集及全局信息采集。As shown in Figure 1, the industrial sensor signal acquisition method based on edge computing shown in the overall schematic diagram of the implementation of the present invention mainly adopts a "divide and conquer" approach to divide it into three steps, namely local information acquisition, regional information acquisition and global information acquisition. .

局部信息采集过程如图2所示,传感器信号采集器接收多个传感器采集的信息,并为每个不同来源不同类型的信息进行分析和处理,其处理方式如下:The local information collection process is shown in Figure 2. The sensor signal collector receives information collected by multiple sensors, and analyzes and processes information of different types from different sources. The processing method is as follows:

1.对于数字量信号,传感器信号采集器将记录其高/低电平信号的改变及发生的时间,其数据的存储格式如附图3所示,其中“D”代表该信息为数字量信号,“Num(i)”为第i个传感器,“0/1”为传感器检测输出的高低电平信号(“1”:为高电平,“0”:为低电平),“T”为检测时间;1. For digital signals, the sensor signal collector will record the changes of its high/low level signals and the time of occurrence, and its data storage format is shown in Figure 3, where "D" means that the information is a digital signal , "Num(i)" is the i-th sensor, "0/1" is the high and low level signal of the sensor detection output ("1": high level, "0": low level), "T" is the detection time;

2.对于模拟量信号,传感器信号采集器将对其进行采样处理并记录采样时间,采样周期按实际需要设置,其数据的存储格式如附图4所示,其中“A”代表该信息为关量信号,“Num(i)”为第i个传感器,“data”为传感器检测输出的采用信号,“T”为检测时间。2. For the analog signal, the sensor signal collector will sample it and record the sampling time. The sampling period is set according to actual needs. The data storage format is shown in Figure 4, where "A" means that the information is relevant "Num(i)" is the i-th sensor, "data" is the adopted signal of sensor detection output, and "T" is the detection time.

如图5所示,传感器信号采集器主要由五大模块组成,即控制模块、通讯模块、存储模块组成、信号接收模块、信号输出模块。控制模块采用ARM处理器,通过程序编写设定负责信号接收模块引脚功能定义、负责信号采集与传送的周期、负责信号储存的数据格式定义及信息类型定义。通讯模块内设置有WiFi模块和以太网卡,负责控制模块的程序写入及信息的传送,其通讯方式的实现可以采用WiFi信息传递方式和以太网信息传递方式。存储模块用于储存已被处理后的信息数据。信号接收模块提供引脚负责接收传感器信息,采用单输入双输出电路负责将接入信号分为两路信号,一份传递给信号输出模块,一份用于转化后传递给控制模块。信号接收模块的引脚接入信号类型由控制模块定义,若定义为数字量信号,则直接将接入的信号传递给控制模块;若定义为模拟量信号,则需经过模数转换电路处理后传递给控制模块。信号输出模块提供引脚负责将数据接收模块所传递的信号直接输送到对应的控制器。As shown in Figure 5, the sensor signal collector is mainly composed of five modules, namely the control module, communication module, storage module, signal receiving module, and signal output module. The control module adopts the ARM processor, which is responsible for the definition of the pin function of the signal receiving module, the cycle of signal collection and transmission, the definition of the data format and the definition of the information type of the signal storage through programming. The communication module is equipped with a WiFi module and an Ethernet card, which are responsible for the program writing of the control module and the transmission of information. The realization of the communication method can adopt the WiFi information transmission method and the Ethernet information transmission method. The storage module is used for storing the processed information data. The signal receiving module provides pins responsible for receiving sensor information, and adopts a single-input and double-output circuit to divide the incoming signal into two signals, one for transmission to the signal output module and one for conversion to the control module. The pin access signal type of the signal receiving module is defined by the control module. If it is defined as a digital signal, the input signal is directly transmitted to the control module; if it is defined as an analog signal, it needs to be processed by an analog-to-digital conversion circuit. passed to the control module. The signal output module provides pins responsible for directly delivering the signal transmitted by the data receiving module to the corresponding controller.

在局部信息采集过程中,传感器信号采集器在采集信息时按照程序指令将信息封装整理,对于所标记不同信息类型采用不同传送方式及传送格式。对于数字量信号的处理流程如图6所示,传感器信号采集器的控制模块通过引脚检测到电位的改变来触发事件,当检测到常规信号时,将其按照图3的数据格式进行转化和存储,采用定时传输的方式上传其压缩后的存储文件;当检测到故障信号时,将输出故障报警信号,同时对故障发生事件进行备份记录。In the process of local information collection, the sensor signal collector packs and organizes the information according to the program instructions when collecting information, and adopts different transmission methods and transmission formats for different types of marked information. The processing flow of the digital signal is shown in Figure 6. The control module of the sensor signal collector triggers an event through the change of the potential detected by the pin. When a conventional signal is detected, it is converted and processed according to the data format in Figure 3 For storage, the compressed storage file is uploaded by regular transmission; when a fault signal is detected, a fault alarm signal will be output, and at the same time, a backup record will be made for the fault occurrence event.

对于模拟量信号的处理流程如图7所示,传感器信号采集器的控制模块通过引脚定时采样数据,当采样值在正常检测范围内时,将其按照附图4的数据格式进行转化和存储,采用定时传输的方式上传其压缩后的存储文件;当采样值超出正常检测范围但故障累计时间没超出设定值T时,同样按上一个描述情况进行处理;当采样值超出正常检测范围且故障累计时间超出设定值T时,将输出故障报警信号,同时对故障发生事件进行备份记录。The processing flow of the analog signal is shown in Figure 7. The control module of the sensor signal collector samples data regularly through the pins. When the sampled value is within the normal detection range, it is converted and stored according to the data format of Figure 4. , and upload the compressed storage file by regular transmission; when the sampling value exceeds the normal detection range but the accumulated fault time does not exceed the set value T, it will also be processed according to the previous description; when the sampling value exceeds the normal detection range and When the cumulative fault time exceeds the set value T, a fault alarm signal will be output, and a backup record will be made for the fault occurrence event.

区域信息采集的实现在于边缘计算平台对其所管辖的多个局部信息采集节点的传感器信息采集。在区域信息采集中,为了避免数量众多的局部信息采集节点文件信息的集中性上传而造成网路阻塞或服务器宕机,因此采用分时轮询的方式让边缘计算平台逐步访问所管辖的传感器信息采集器。边缘计算平台作为一个网络站点,通过Web服务提供数据通道接口给所管辖区域内的传感器信息采集器,采用Http协议进行信息交互。在数据接收过程中,边缘计算平台对于检测到的故障信号将会进行及时响应给相关监控设备及维护人员;对于检测到的常规信息将会进行文件压缩和暂时存储处理,等待定时计时完成在进行数据上传。The realization of regional information collection lies in the sensor information collection of multiple local information collection nodes under the jurisdiction of the edge computing platform. In regional information collection, in order to avoid network congestion or server downtime due to centralized uploading of file information by a large number of local information collection nodes, time-sharing polling is adopted to allow edge computing platforms to gradually access the sensor information under their jurisdiction collector. As a network site, the edge computing platform provides a data channel interface to the sensor information collectors in the area under its jurisdiction through Web services, and uses the Http protocol for information interaction. During the data receiving process, the edge computing platform will respond to the detected fault signals in a timely manner to the relevant monitoring equipment and maintenance personnel; for the detected routine information, it will perform file compression and temporary storage processing, and wait for the timing to complete before proceeding Data upload.

全局信息采集的实现在于云计算平台作为整个工业网络的信息枢纽中心,通过Web服务提供数据通道接口与边缘计算平台进行信息交互。云计算平台负责将所接收到的压缩文件进行解压分析,通过遍历数据的方式及结合数据挖掘技术来挖掘数据产生的周期、预测工业事件发生概率与时间段、以及实现工业生产全局信息的整理和分析等。The realization of global information collection lies in the fact that the cloud computing platform, as the information hub of the entire industrial network, provides data channel interfaces through Web services to interact with the edge computing platform. The cloud computing platform is responsible for decompressing and analyzing the received compressed files, mining the cycle of data generation by traversing the data and combining data mining technology, predicting the probability and time period of industrial events, and realizing the collation and processing of global information of industrial production. analysis etc.

如上所述,便可较好地实现本发明。As described above, the present invention can be preferably carried out.

本发明的实施方式并不受上述实施例的限制,其他任何未背离本发明的精神实质与原理下所作的改变、修饰、替代、组合、简化,均应为等效的置换方式,都包含在本发明的保护范围之内。The implementation of the present invention is not limited by the above examples, and any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principles of the present invention should be equivalent replacement methods, and are all included in within the protection scope of the present invention.

Claims (3)

1.一种基于边缘计算的工业传感信号采集方法,其特征在于包括如下步骤:包括局部信息采集步骤;区域信息采集步骤;全局信息采集步骤;1. An industrial sensing signal acquisition method based on edge computing, characterized in that it comprises the steps of: comprising a local information acquisition step; a regional information acquisition step; a global information acquisition step; 一、局部信息采集步骤1. Local information collection steps 传感器信号采集器接收多个传感器采集的信息,并为每个不同来源不同类型的信息进行分析和处理,其处理方式如下:The sensor signal collector receives information collected by multiple sensors, and analyzes and processes different types of information from different sources. The processing method is as follows: 对于数字量信号,传感器信号采集器将记录其高/低电平信号的改变及发生的时间;For digital signals, the sensor signal collector will record the change of its high/low level signal and the time of occurrence; 对于模拟量信号,传感器信号采集器将对其进行采样处理并记录采样时间,采样周期按实际需要设置;For analog signals, the sensor signal collector will sample them and record the sampling time, and the sampling period is set according to actual needs; 二、区域信息采集步骤2. Regional information collection steps 区域信息采集的实现在于,边缘计算平台对其所管辖的多个局部信息采集节点的传感器信息采集;在区域信息采集中,为了避免数量众多的局部信息采集节点文件信息的集中性上传而造成网路阻塞或服务器宕机,因此采用分时轮询的方式让边缘计算平台逐步访问所管辖的传感器信息采集器;边缘计算平台作为一个网络站点,通过Web服务提供数据通道接口给所管辖区域内的传感器信息采集器,采用Http协议进行信息交互;在数据接收过程中,边缘计算平台对于检测到的故障信号将会进行及时响应给相关监控设备及维护人员;对于检测到的常规信息将会进行文件压缩和暂时存储处理,等待定时计时完成在进行数据上传;The realization of regional information collection lies in the sensor information collection of multiple local information collection nodes under the jurisdiction of the edge computing platform; in the regional information collection, in order to avoid the centralized upload of a large number of local information Therefore, time-sharing polling is used to allow the edge computing platform to gradually access the sensor information collectors under its jurisdiction; as a network site, the edge computing platform provides a data channel interface to the area under its jurisdiction through Web services The sensor information collector adopts the Http protocol for information interaction; during the data receiving process, the edge computing platform will respond to the detected fault signals in a timely manner to the relevant monitoring equipment and maintenance personnel; the detected routine information will be documented Compression and temporary storage processing, waiting for the timing to complete before uploading data; 三、全局信息采集步骤3. Global information collection steps 全局信息采集的实现在于云计算平台作为整个工业网络的信息枢纽中心,通过Web服务提供数据通道接口与边缘计算平台进行信息交互;云计算平台负责将所接收到的压缩文件进行解压分析,通过遍历数据的方式及结合数据挖掘技术来挖掘数据产生的周期、预测工业事件发生概率与时间段、以及实现工业生产全局信息的整理和分析。The realization of global information collection lies in the fact that the cloud computing platform, as the information hub of the entire industrial network, provides data channel interfaces through Web services to interact with the edge computing platform; the cloud computing platform is responsible for decompressing and analyzing the received compressed files, and through The way of data and the combination of data mining technology to mine the cycle of data generation, predict the probability and time period of industrial events, and realize the collation and analysis of the overall information of industrial production. 2.根据权利要求1所述基于边缘计算的工业传感信号采集方法,其特征在于:局部信息采集过程中,传感器信号采集器在采集信息时按照程序指令将信息封装整理,对于所标记不同信息类型采用不同传送方式及传送格式;传感器信号采集器的控制模块通过引脚检测到电位的改变来触发事件,当检测到常规信号时,进行转化和存储后,采用定时传输的方式上传其压缩后的存储文件;当检测到故障信号时,将输出故障报警信号,同时对故障发生事件进行备份记录;2. The method for collecting industrial sensor signals based on edge computing according to claim 1, characterized in that: in the process of local information collection, the sensor signal collector packs and organizes the information according to the program instructions when collecting information, and for the different information marked The type adopts different transmission methods and transmission formats; the control module of the sensor signal collector triggers the event through the change of the potential detected by the pin. storage files; when a fault signal is detected, a fault alarm signal will be output, and a backup record will be made of the fault event at the same time; 对于模拟量信号的处理流程,传感器信号采集器的控制模块通过引脚定时采样数据,当采样值在正常检测范围内时,将其进行转化和存储,采用定时传输的方式上传其压缩后的存储文件;当采样值超出正常检测范围但故障累计时间没超出设定值T时,同样按上一个描述情况进行处理;当采样值超出正常检测范围且故障累计时间超出设定值T时,将输出故障报警信号,同时对故障发生事件进行备份记录。For the processing flow of the analog signal, the control module of the sensor signal collector samples the data regularly through the pins. When the sampled value is within the normal detection range, it is converted and stored, and the compressed storage is uploaded by regular transmission. file; when the sampling value exceeds the normal detection range but the accumulated fault time does not exceed the set value T, it will also be processed according to the previous description; when the sampled value exceeds the normal detection range and the fault accumulated time exceeds the set value T, it will output Fault alarm signals, and backup records of fault events. 3.一种基于边缘计算的工业传感信号采集,其特征在于传感器信号采集器,其包括:3. An industrial sensing signal acquisition based on edge computing, characterized in that a sensor signal collector, comprising: 用于数据分析与处理的控制模块;控制模块采用ARM处理器,设定负责信号接收模块引脚功能定义、负责信号采集与传送的周期、负责信号储存的数据格式定义及信息类型定义;A control module for data analysis and processing; the control module adopts an ARM processor, which is responsible for the definition of the pin function of the signal receiving module, the cycle of signal acquisition and transmission, the definition of data format and information type definition of signal storage; 用于数据传输的通讯模块;通讯模块内设置有WiFi模块和以太网卡,负责控制模块的信息的输入与传送;A communication module for data transmission; the communication module is equipped with a WiFi module and an Ethernet card, which is responsible for the input and transmission of the information of the control module; 用于数据存储的存储模块,用于储存已被处理后的信息数据;A storage module for data storage, used to store processed information data; 用于传感器数据接入的信号接收模块;信号接收模块提供引脚负责接收传感器信息,采用单输入双输出电路负责将接入信号分为两路信号,一份传递给信号输出模块,一份用于转化后传递给控制模块;用于传感器数据输出到对应的控制器的信号输出模块;信号输出模块提供引脚负责将数据接收模块所传递的信号直接输送到对应的控制器。Signal receiving module for sensor data access; the signal receiving module provides pins to receive sensor information, and a single-input and double-output circuit is responsible for dividing the access signal into two signals, one for the signal output module and one for the signal output module. The signal output module is used to output the sensor data to the corresponding controller; the signal output module provides pins responsible for directly sending the signal transmitted by the data receiving module to the corresponding controller.
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CN109657003A (en) * 2018-11-26 2019-04-19 深圳市玛尔仕文化科技有限公司 A method of hardware data is directly accessed big data platform
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CN110022349A (en) * 2019-01-17 2019-07-16 重庆邮电大学 A kind of isomery industrial network device configuration micro services method based on edge calculations
CN110022349B (en) * 2019-01-17 2021-11-09 重庆邮电大学 Heterogeneous industrial network device configuration micro-service method based on edge calculation
CN110146764A (en) * 2019-06-14 2019-08-20 国网新疆电力有限公司电力科学研究院 An abnormal detection method for power equipment based on acoustic array edge computing
CN110505301A (en) * 2019-08-26 2019-11-26 电子科技大学 A framework for industrial big data processing in aviation manufacturing workshop
CN110766926A (en) * 2019-09-26 2020-02-07 重庆溢希恩真节能电力设备有限公司 Wireless data acquisition and monitoring system for stamping equipment
CN110673587A (en) * 2019-10-17 2020-01-10 北京力创智慧科技有限公司 Unit monitoring system
CN110673587B (en) * 2019-10-17 2020-10-09 北京力创智慧科技有限公司 Unit monitoring system
CN111277557B (en) * 2019-12-04 2023-01-03 珠海派诺科技股份有限公司 Real-time communication method, equipment and storage medium
CN111277557A (en) * 2019-12-04 2020-06-12 珠海派诺科技股份有限公司 Real-time communication method, equipment and storage medium
CN111224824B (en) * 2020-01-06 2021-05-04 华东师范大学 An edge autonomous model construction method
CN111224824A (en) * 2020-01-06 2020-06-02 华东师范大学 An edge autonomous model construction method
CN111224825A (en) * 2020-01-06 2020-06-02 华东师范大学 An edge autonomous model building device
CN111221366A (en) * 2020-01-09 2020-06-02 深圳供电局有限公司 Control method and system for power equipment in cable tunnel and computer equipment
CN111381545A (en) * 2020-04-03 2020-07-07 北京奥德威特电力科技股份有限公司 Protection measurement and control intelligent terminal based on edge calculation
CN111381545B (en) * 2020-04-03 2021-03-26 北京奥德威特电力科技股份有限公司 Protection measurement and control intelligent terminal based on edge calculation
CN111738163A (en) * 2020-06-23 2020-10-02 广东辰启科技有限责任公司 A processing method for front-end recognition of edge computing boxes
CN111739254A (en) * 2020-07-01 2020-10-02 安徽理工大学 A joint control system for real-time video processing at the edge of a coal mine network
CN112393759A (en) * 2020-10-30 2021-02-23 北京风桥科技有限公司 Cable shaft monitoring system, method and device
CN112583899A (en) * 2020-12-02 2021-03-30 上海新氦类脑智能科技有限公司 Internet of things data acquisition system and method and edge computing equipment
CN112583899B (en) * 2020-12-02 2023-09-15 上海新氦类脑智能科技有限公司 Internet of things data acquisition system, method and edge computing equipment
CN113656364A (en) * 2021-08-05 2021-11-16 福瑞泰克智能系统有限公司 Sensor data processing method, device and computer readable storage medium
CN113656364B (en) * 2021-08-05 2024-02-20 福瑞泰克智能系统有限公司 Sensor data processing method, device and computer readable storage medium
CN113867285A (en) * 2021-09-24 2021-12-31 大唐互联科技(武汉)有限公司 Edge cloud platform-based edge side equipment fault diagnosis method and system
CN113867285B (en) * 2021-09-24 2024-06-04 大唐互联科技(武汉)有限公司 Edge cloud platform-based edge side equipment fault diagnosis method and system
CN114500669A (en) * 2021-12-31 2022-05-13 珠海派诺科技股份有限公司 Real-time communication method and system based on Internet of things, storage medium and electronic equipment

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