CN105867267A - Method for automatically reporting instrument readings of distribution station room through image identification technology - Google Patents

Method for automatically reporting instrument readings of distribution station room through image identification technology Download PDF

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CN105867267A
CN105867267A CN201610205172.1A CN201610205172A CN105867267A CN 105867267 A CN105867267 A CN 105867267A CN 201610205172 A CN201610205172 A CN 201610205172A CN 105867267 A CN105867267 A CN 105867267A
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equipment
image recognition
instrument
time
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祁建
蔡璟
陈咏秋
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State Grid Jiangsu Electric Power Co Ltd
Jiangsu Electric Power Information Technology Co Ltd
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State Grid Jiangsu Electric Power Co Ltd
Jiangsu Electric Power Information Technology Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

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Abstract

本发明公开了一种通过图像识别技术实现配电站房仪表读数自动上报的方法,站房内安装轨道和轨道摄像机,接通电源线、数据线连接至计算机控制设备;计算机控制设备根据摄像机传送的实时仪表图像,经过核心图像识别模式算法,获取站房内仪表读数;监测数据接入电力公司内网,首先归集到“智能运检管控平台”,根据算法模型对数据进行分析和判断,得出配电站房内各设备工作状态数据;根据设备工作状态数据对现场设备进行故障分析或者检修分析,发现异常情况及时产生告警信息。该方法能及时发现异常情况并产生告警,提升运维检修工作的工作效率,缓解运维人员工作强度。

The invention discloses a method for automatically reporting instrument readings in a power distribution station room through image recognition technology. Tracks and track cameras are installed in the station room, and power lines and data lines are connected to computer control equipment; The real-time instrument image of the station building is obtained through the core image recognition pattern algorithm; the monitoring data is connected to the internal network of the power company, and is first collected into the "smart transportation inspection management and control platform", and the data is analyzed and judged according to the algorithm model. Obtain the working status data of each equipment in the distribution substation room; perform fault analysis or maintenance analysis on the field equipment according to the working status data of the equipment, and generate alarm information in time when abnormal conditions are found. This method can detect abnormal conditions in time and generate alarms, improve the efficiency of operation and maintenance work, and ease the work intensity of operation and maintenance personnel.

Description

通过图像识别技术实现配电站房仪表读数自动上报的方法A method for automatic reporting of meter readings in distribution substations through image recognition technology

技术领域 technical field

本发明属于电力领域,涉及一种通过图像识别技术实现配电站房仪表读数自动上报的方法。 The invention belongs to the field of electric power and relates to a method for realizing automatic reporting of meter readings in distribution substations through image recognition technology.

背景技术 Background technique

智能配电网是智能电网建设的基础环节和重要组成部分,是电网基础运行数据的釆集源头和命令执行单元,同时也是配电网自动化技术发展的新阶段。随着物联网技术在电网运行领域中的深入运用,通过图像识别技术可以实时获取配电站房开关柜仪表读数的详细信息,通过数据分析和判断,及时发现异常情况,很好地推进了配电网智能化建设。 The smart distribution network is the basic link and an important part of the construction of the smart grid. It is the source of basic operation data collection and the command execution unit of the power grid. It is also a new stage in the development of distribution network automation technology. With the in-depth application of the Internet of Things technology in the field of power grid operation, detailed information on the instrument readings of the switch cabinets in the distribution station can be obtained in real time through image recognition technology. Intelligent network construction.

相对于目前配电网检测技术,智能配电网的优势表现为:设备数据采集的实时性,异常信息主动获取, 数据高度共享,系统可扩展性强,高级应用的智能化水平高等。目前智能电网建设过程中,因配网站房设备分散且种类繁多,配电站房设备巡检工作一直是薄弱环节,虽然高级应用也在配电网系统中得以应用,但是仍不够智能化。 Compared with the current distribution network detection technology, the advantages of the smart distribution network are as follows: real-time equipment data collection, active acquisition of abnormal information, high data sharing, strong system scalability, and high intelligence level of advanced applications. At present, in the process of smart grid construction, due to the scattered and various types of distribution station equipment, the inspection of distribution station equipment has always been a weak link. Although advanced applications are also applied in the distribution network system, they are still not intelligent enough.

发明内容 Contents of the invention

本发明的目的是提供一种通过图像识别技术实现配电站房仪表读数自动上报的方法,该方法通过轨道摄像机获取配电站房仪表图像,经过核心图像识别模式算法,自动获取配电站房仪表读数,将监测数据根据管控逻辑对站房内电力设备的工作状态进行分析和判断,完成站房巡检工作,及时发现异常情况并产生告警,提升运维检修工作的工作效率,缓解运维人员工作强度。 The purpose of the present invention is to provide a method for automatically reporting the meter readings of the distribution station room through image recognition technology. Instrument readings, analyze and judge the working status of the power equipment in the station building based on the monitoring data according to the control logic, complete the inspection work of the station building, detect abnormal conditions in time and generate alarms, improve the efficiency of operation and maintenance work, and ease operation and maintenance Staff work intensity.

本发明的目的通过以下技术方案实现: The object of the present invention is achieved through the following technical solutions:

一种通过图像识别技术实现配电站房仪表读数自动上报的方法,其特征在于该方法包括以下步骤: A method for automatically reporting meter readings in a distribution substation through image recognition technology, characterized in that the method includes the following steps:

1) 站房内安装轨道和轨道摄像机,接通电源线、数据线连接至计算机控制设备; 1) Install the track and track camera in the station building, connect the power line and data line to the computer control equipment;

2) 计算机控制设备根据摄像机传送的实时仪表图像,经过核心图像识别模式算法,获取站房内仪表读数; 2) According to the real-time instrument image transmitted by the camera, the computer control equipment obtains the instrument reading in the station through the core image recognition pattern algorithm;

3) 监测数据接入电力公司内网,首先归集到“智能运检管控平台”,根据算法模型对数据进行分析和判断,得出配电站房内各设备工作状态数据; 3) The monitoring data is connected to the intranet of the power company, and firstly collected into the "smart inspection management and control platform", and the data is analyzed and judged according to the algorithm model, and the working status data of each equipment in the distribution station room is obtained;

4) 根据设备工作状态数据对现场设备进行故障分析或者检修分析,发现异常情况及时产生告警信息。 4) Carry out fault analysis or maintenance analysis on the field equipment according to the working status data of the equipment, and generate alarm information in time if any abnormal situation is found.

本发明中,根据实际情况安装轨道和轨道摄像机:根据配电站房内设备摆放情况和站房建筑结构,轨道安装方式可分为吊顶式和地轨式,数据传输方式可分为有线和无线。 In the present invention, the track and the track camera are installed according to the actual situation: according to the placement of equipment in the distribution station room and the building structure of the station building, the track installation method can be divided into ceiling type and ground rail type, and the data transmission method can be divided into wired and wireless.

核心图像识别模式算法主要包括以下几个步骤:1、图像获取和建模;2、仪表自动定位和透视校正;3、仪表指针自动提取;4、仪表读数自动生成。 The core image recognition pattern algorithm mainly includes the following steps: 1. Image acquisition and modeling; 2. Automatic instrument positioning and perspective correction; 3. Automatic extraction of instrument pointers; 4. Automatic generation of instrument readings.

根据算法模型对数据进行分析和判断:算法模型参与计算的数据有实时图像识别数据、用电信息采集系统、电路实时负荷信息、设备台帐信息等,算法结合其它系统数据判断识别出的仪表读数是否在正常工作范围。 Analyze and judge the data according to the algorithm model: the data involved in the calculation of the algorithm model includes real-time image recognition data, electricity information collection system, real-time circuit load information, equipment account information, etc., and the algorithm combines other system data to judge and identify the meter reading Is it within the normal working range.

台账信息包括设备的名称、额定电流、额定电压、型号、生产厂家等基本信息以及根据设备类型不同所具备的扩展信息。 The ledger information includes basic information such as the name of the equipment, rated current, rated voltage, model, manufacturer, etc., as well as extended information according to different types of equipment.

本发明通过图像识别技术实现配电站房仪表读数自动上报的方法,该方法通过轨道摄像机获取配电站房仪表图像,经过核心图像识别模式算法,自动获取配电站房仪表读数,将监测数据根据管控逻辑对站房内电力设备的工作状态进行分析和判断,完成站房巡检工作,及时发现异常情况并产生告警,提升运维检修工作的工作效率,缓解运维人员工作强度。 The present invention realizes the method for automatically reporting the instrument readings of the distribution substation room through the image recognition technology. The method obtains the instrument image of the distribution station room through the track camera, and automatically obtains the instrument readings of the distribution station room through the core image recognition mode algorithm, and converts the monitoring data According to the management and control logic, the working status of the power equipment in the station is analyzed and judged, the inspection of the station is completed, the abnormal situation is found in time and an alarm is generated, the work efficiency of the operation and maintenance work is improved, and the work intensity of the operation and maintenance personnel is alleviated.

该方法不仅实现了智能配网实时监测与异常情况主动上报,智能化水平也适应与当前以及未来的智能化配电网建设。 This method not only realizes real-time monitoring of intelligent distribution network and active reporting of abnormal conditions, but also adapts to the current and future construction of intelligent distribution network.

附图说明 Description of drawings

图1是通过图像识别技术实现配电站房仪表读数自动上报的流程图。 Figure 1 is a flow chart of automatic reporting of instrument readings in distribution substations through image recognition technology.

具体实施方式 detailed description

一种通过图像识别技术实现配电站房仪表读数自动上报的方法,包括以下步骤: A method for realizing automatic reporting of instrument readings in distribution substations through image recognition technology, comprising the following steps:

1) 站房内根据实际情况安装轨道和轨道摄像机,接通电源线、数据线等连接至计算机控制设备;根据实际情况安装轨道和轨道摄像机:根据配电站房内设备摆放情况和站房建筑结构,轨道安装方式可分为吊顶式和地轨式,数据传输方式可分为有线和无线; 1) Install the track and track cameras in the station building according to the actual situation, connect the power line, data line, etc. to the computer control equipment; install the track and track cameras according to the actual situation: Building structure, track installation methods can be divided into ceiling type and ground rail type, data transmission methods can be divided into wired and wireless;

2) 计算机控制设备根据摄像机传送的实时仪表图像,经过核心图像识别模式算法,获取站房内仪表读数;核心图像识别模式算法主要包括以下几个步骤:1、图像获取和建模;2、仪表自动定位和透视校正;3、仪表指针自动提取;4、仪表读数自动生成。 2) According to the real-time instrument image transmitted by the camera, the computer control equipment obtains the instrument reading in the station through the core image recognition mode algorithm; the core image recognition mode algorithm mainly includes the following steps: 1. Image acquisition and modeling; 2. Instrument Automatic positioning and perspective correction; 3. Automatic extraction of instrument pointers; 4. Automatic generation of instrument readings.

3) 监测数据接入电力公司内网,首先归集到“智能运检管控平台”,根据算法模型对数据进行分析和判断,得出配电站房内各设备工作状态数据;算法模型参与计算的数据有实时图像识别数据,用电信息采集系统,电路实时负荷信息、设备台帐信息等,算法结合其它系统数据判断识别出的仪表读数是否在正常工作范围;台账信息包括设备的名称、额定电流、额定电压、型号、生产厂家等基本信息以及根据设备类型不同所具备的扩展信息。 3) The monitoring data is connected to the intranet of the power company, and firstly collected into the "intelligent inspection and control platform", and the data is analyzed and judged according to the algorithm model, and the working status data of each equipment in the distribution station room is obtained; the algorithm model participates in the calculation The data includes real-time image recognition data, electricity consumption information collection system, real-time circuit load information, equipment account information, etc. The algorithm combines other system data to judge whether the recognized meter reading is within the normal working range; account information includes equipment name, Basic information such as rated current, rated voltage, model, manufacturer, etc., and extended information according to different types of equipment.

4) 根据设备工作状态数据对现场设备进行故障分析或者检修分析,发现异常情况及时产生告警信息。 4) Carry out fault analysis or maintenance analysis on the field equipment according to the working status data of the equipment, and generate alarm information in time if any abnormal situation is found.

Claims (4)

1.一种通过图像识别技术实现配电站房仪表读数自动上报的方法,其特征在于该方法包括以下步骤: 1. A method for automatically reporting instrument readings in a distribution substation by image recognition technology, characterized in that the method comprises the following steps: 1)站房内安装轨道和轨道摄像机,接通电源线、数据线连接至计算机控制设备; 1) Install the track and track camera in the station building, connect the power line and data line to the computer control equipment; 2)计算机控制设备根据摄像机传送的实时仪表图像,经过核心图像识别模式算法,获取站房内仪表读数; 2) According to the real-time instrument image transmitted by the camera, the computer control equipment obtains the instrument reading in the station building through the core image recognition pattern algorithm; 3)监测数据接入电力公司内网,首先归集到“智能运检管控平台”,根据算法模型对数据进行分析和判断,得出配电站房内各设备工作状态数据; 3) The monitoring data is connected to the intranet of the power company, and firstly collected into the "smart inspection management and control platform", and the data is analyzed and judged according to the algorithm model, and the working status data of each equipment in the distribution station room is obtained; 4)根据设备工作状态数据对现场设备进行故障分析或者检修分析,发现异常情况及时产生告警信息。 4) Carry out fault analysis or maintenance analysis on the field equipment according to the working status data of the equipment, and generate alarm information in time if any abnormal situation is found. 2.根据权利要求1所述的通过图像识别技术实现配电站房仪表读数自动上报的方法,其特征在于:步骤1)中,根据实际情况安装轨道和轨道摄像机:根据配电站房内设备摆放情况和站房建筑结构,轨道安装方式分为吊顶式和地轨式,数据传输方式分为有线和无线。 2. The method for automatically reporting instrument readings in distribution substations through image recognition technology according to claim 1, characterized in that: in step 1), track and track cameras are installed according to actual conditions: according to the equipment in the distribution substation Placement and station building structure, track installation methods are divided into ceiling type and ground rail type, and data transmission methods are divided into wired and wireless. 3.根据权利要求1所述的通过图像识别技术实现配电站房仪表读数自动上报的方法,其特征在于:步骤2)中,核心图像识别模式算法主要包括以下几个步骤: 3. The method for automatically reporting instrument readings in distribution substations through image recognition technology according to claim 1, characterized in that: in step 2), the core image recognition pattern algorithm mainly includes the following steps: 1)图像获取和建模; 1) Image acquisition and modeling; 2)仪表自动定位和透视校正; 2) Automatic instrument positioning and perspective correction; 3)仪表指针自动提取; 3) The instrument pointer is automatically extracted; 4)仪表读数自动生成。 4) Meter readings are automatically generated. 4.根据权利要求1所述的通过图像识别技术实现配电站房仪表读数自动上报的方法,其特征在于:步骤3)中,根据算法模型对数据进行分析和判断:算法模型参与计算的数据有实时图像识别数据、用电信息采集系统、电路实时负荷信息、设备台帐信息,算法结合其它系统数据判断识别出的仪表读数是否在正常工作范围。 4. The method for automatically reporting instrument readings in distribution substations through image recognition technology according to claim 1, characterized in that: in step 3), the data is analyzed and judged according to the algorithm model: the data that the algorithm model participates in the calculation of There are real-time image recognition data, electricity consumption information collection system, real-time circuit load information, and equipment account information. The algorithm combines other system data to judge whether the recognized meter reading is within the normal working range.
CN201610205172.1A 2016-04-05 2016-04-05 Method for automatically reporting instrument readings of distribution station room through image identification technology Pending CN105867267A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110837812A (en) * 2019-11-14 2020-02-25 深圳罗兰得技术有限公司 Test monitoring method and system
CN111562540A (en) * 2020-05-17 2020-08-21 宁夏隆基宁光仪表股份有限公司 Electric energy meter detection monitoring method based on dynamic image recognition and analysis
CN112906602A (en) * 2021-03-04 2021-06-04 杭州电力设备制造有限公司 Automatic identification device and identification method for electricity meter of power distribution cabinet based on image processing
CN113936129A (en) * 2021-09-13 2022-01-14 微钜(上海)智能信息科技有限公司 Industrial instrument intelligent reading identification method based on AI image analysis algorithm
CN114161452A (en) * 2021-12-30 2022-03-11 山东省科学院自动化研究所 An inspection robot control system
CN117312929A (en) * 2023-11-29 2023-12-29 国网浙江省电力有限公司杭州供电公司 Identification method and device for station building reconstruction type, terminal equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009168752A (en) * 2008-01-18 2009-07-30 Takahashi Kogyo:Kk Photographing device for surface inspection of concrete pole
CN102938540A (en) * 2012-11-27 2013-02-20 宁波市鄞州供电局 Substation equipment detection system
CN104391506A (en) * 2014-09-19 2015-03-04 福州大学 Transformer station guide rail type inspection robot
CN105262994A (en) * 2015-10-14 2016-01-20 南京第五十五所技术开发有限公司 Instrument identification device and method based on intelligent track video camera

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009168752A (en) * 2008-01-18 2009-07-30 Takahashi Kogyo:Kk Photographing device for surface inspection of concrete pole
CN102938540A (en) * 2012-11-27 2013-02-20 宁波市鄞州供电局 Substation equipment detection system
CN104391506A (en) * 2014-09-19 2015-03-04 福州大学 Transformer station guide rail type inspection robot
CN105262994A (en) * 2015-10-14 2016-01-20 南京第五十五所技术开发有限公司 Instrument identification device and method based on intelligent track video camera

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110837812A (en) * 2019-11-14 2020-02-25 深圳罗兰得技术有限公司 Test monitoring method and system
CN110837812B (en) * 2019-11-14 2022-11-15 戴西茶 Test monitoring method and system
CN111562540A (en) * 2020-05-17 2020-08-21 宁夏隆基宁光仪表股份有限公司 Electric energy meter detection monitoring method based on dynamic image recognition and analysis
CN112906602A (en) * 2021-03-04 2021-06-04 杭州电力设备制造有限公司 Automatic identification device and identification method for electricity meter of power distribution cabinet based on image processing
CN112906602B (en) * 2021-03-04 2023-08-25 杭州电力设备制造有限公司 Automatic identification device and identification method for electric quantity meter of power distribution cabinet based on image processing
CN113936129A (en) * 2021-09-13 2022-01-14 微钜(上海)智能信息科技有限公司 Industrial instrument intelligent reading identification method based on AI image analysis algorithm
CN114161452A (en) * 2021-12-30 2022-03-11 山东省科学院自动化研究所 An inspection robot control system
CN117312929A (en) * 2023-11-29 2023-12-29 国网浙江省电力有限公司杭州供电公司 Identification method and device for station building reconstruction type, terminal equipment and storage medium
CN117312929B (en) * 2023-11-29 2024-02-13 国网浙江省电力有限公司杭州供电公司 Identification method and device for station building reconstruction type, terminal equipment and storage medium

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Application publication date: 20160817