CN115629242A - A method and system for predicting, diagnosing and analyzing lightning arrester operating status and damage - Google Patents

Abstract

The invention belongs to the technical field of lightning arrester operation state and damage prediction diagnosis, and in particular relates to a lightning arrester operation state and damage prediction diagnosis analysis method and system. The invention explains how to realize a method for predicting, diagnosing and analyzing the operating state and damage of the arrester, and how to realize a system for predicting, diagnosing and analyzing the operating state and damage of the arrester. In this way, the operating status and damage prediction, diagnosis and analysis of the arrester can be finally realized, and the operation and maintenance personnel can be reminded to deal with it on different platforms through different colors and levels. The present invention mainly includes 5 parts: 1. acquisition module, 2. monitoring terminal, 3. communication module, 4. background system module, 5. cloud platform module. After the cooperative processing of these 5 modules, large-screen monitoring after local configuration can be carried out; configuration screens and early warnings can also be performed on the cloud platform, and then the screen display and alarm push can be completed through the small program, so as to realize remote mobile small screen monitoring.

Description

A method and system for predicting, diagnosing and analyzing lightning arrester operating status and damage

technical field

The invention belongs to the technical field of lightning arrester operation state and damage prediction diagnosis, and in particular relates to a lightning arrester operation state and damage prediction diagnosis analysis method and system.

Background technique

Lightning arrester is a kind of energy that can release lightning or power supply system operating overvoltage, protect power equipment from instantaneous overvoltage (lightning overvoltage, operating overvoltage, power frequency transient overvoltage impact), and can cut off freewheeling without causing Electrical installations that are short-circuited to system ground. The arrester is usually connected between the live wire and the ground, and is connected in parallel with the protected equipment. When the overvoltage occurs, the arrester acts immediately, flows through the charge, limits the amplitude of the overvoltage, and protects the insulation of the equipment; after the voltage value is normal, the arrester quickly returns to its original state to ensure the normal power supply of the power supply system. Its role is very important.

According to statistical data, the main reasons for the failure of lightning arresters are as follows.

1) Moisture inside the arrester causes a fault.

2) The aging of the arrester's own components causes failure.

3) The pollution of the external environment causes damage to the arrester.

4) Misoperation by personnel causes arrester failure.

When the arrester does not operate normally or breaks down, it is easy to affect the safe operation of the power supply system, which also puts forward higher requirements for the maintenance of the arrester equipment.

At present, there are mainly two methods for the operation of arresters: (1) manual inspection and regular inspection. Using this method mainly relies on manual inspections and regular inspections to check whether the appearance of the arrester is clean and whether there are cracks, etc. There is a waste of human resources, and hidden dangers cannot be seen visually, and there may also be time between manual inspections and regular inspections. The abnormality of the arrester is not found in time. (2) Install a lightning strike counter. With this method, it is necessary to manually check the number of lightning strikes data. There are cases where only the number of lightning strikes and the leakage current data during viewing can be recorded, other lightning strike related information cannot be recorded, and the current change data during the daily operation of the arrester cannot be obtained.

These two methods only rely on people to conduct patrols, regularly detect and check the number of lightning strikes, and cannot know the parameters such as the lightning strike time and energy of the arrester; they cannot save and process the data when the arrester is struck by lightning; they cannot know the lightning arrester. Running status; the damage prediction and diagnosis analysis of the arrester cannot be performed.

In view of the current situation, each surge arrester needs manual inspection and data recording during operation. The more arresters in the responsible area, the more human resources will be consumed.

Contents of the invention

The object of the present invention is to provide a method and system for predicting, diagnosing, and analyzing the operating state and damage of a lightning arrester, so as to solve the problems in the prior art that the monitoring of the operating state of the lightning arrester and the predictive diagnosis and analysis of the damage of the lightning arrester cannot be performed.

In order to achieve the above object, the present invention provides the following technical solutions.

A lightning arrester operating state and damage prediction diagnosis analysis method, the leakage current information is collected through the leakage current sensor, the lightning current information at the moment of lightning strike is collected through the lightning current sensor, and the PT information of the bus is collected at the same time; the collected data is then transmitted to the monitoring The terminal and the monitoring terminal obtain information such as leakage current, resistive current, capacitive current, lightning peak current, lightning unit energy, lightning charge, lightning maximum steepness, number of lightning strikes and time of each arrester through calculation and processing, and The information is transmitted to the communication module; the communication module transmits the results to the background system and cloud platform after information integration; in the background system and cloud platform, through comprehensive judgment on the transmitted information, the operating status and The damage prediction and diagnosis status can also be associated with the early warning feature value. When the parameters that do not meet the requirements are not met, the alarm will be reported in time to remind maintenance.

Specifically include the following steps.

S1. Data collection of each arrester

When each arrester is running, data can be collected through the corresponding leakage current sensor and lightning current sensor.

S2. Monitoring terminal calculation, analysis and transmission

The monitoring terminal receives the data transmitted by S1 and adds the bus PT information directly collected by the monitoring terminal to perform internal calculations to obtain the leakage current, resistive current, capacitive current, lightning peak current, lightning unit energy, and lightning strike current of each arrester. Information such as the amount of charge, the maximum steepness of lightning, the number and time of lightning strikes;

A single monitoring terminal can cooperate to complete calculation and analysis of data of 1 to 3 arresters.

S3. The communication module integrates and transmits information

The communication module integrates internal information by receiving the data transmitted by S2.

S4. Data are uploaded to the background system and cloud platform respectively

The data passed by S3 is transmitted to the background system and cloud platform respectively.

After the data transmitted by the S3 is transmitted to the background system through optical fiber/network cable, the background system performs logical operation analysis, configuration screen and early warning, so as to realize local large-screen monitoring.

The data transmitted by the S3 is transmitted to the cloud platform through the 3G/4G/5G wireless network. After the configuration screen and early warning are completed on the cloud platform, the mobile terminal displays and pushes the alarm, thereby realizing remote mobile small screen monitoring.

A lightning arrester operating state and damage prediction diagnosis and analysis system, including an acquisition module, a monitoring terminal, a communication module, a background system module, and a cloud platform module. The acquisition module, the monitoring terminal, the communication module, and the background system module are connected in sequence, and the cloud platform The module is connected with the communication module, and the acquisition module includes a leakage current sensor and a lightning current sensor connected to each lightning arrester; the acquisition module transmits the data of the leakage current sensor and the lightning current sensor to the monitoring terminal, and the monitoring terminal collects the bus PT information at the same time Carry out calculation processing on the data, and the processing results are transmitted to the background system module and the cloud platform module respectively through the communication module; the background system module performs corresponding calculation, display, storage, and alarm after receiving the data transmitted by the communication module; The cloud platform module receives and processes the data transmitted by the communication module, and then transmits the information to the user's mobile terminal.

Compared with the prior art, the beneficial effects of the present invention are as follows.

The beneficial effect of the present invention is that information such as leakage current, resistive current, capacitive current, lightning peak current, lightning unit energy, lightning charge, lightning maximum steepness, number of lightning strikes and time are collected for all lightning arresters in the working area. Acquisition, transmission, calculation, and comprehensive judgment, so as to obtain the operating status of each arrester; at the same time, through modeling and analysis of the collected big data, the damage prediction and diagnosis of the arrester are completed, and the operation and maintenance personnel no longer need to pay attention to the operating status of a single arrester. The background system or cloud platform can automatically push the relevant information after diagnosis, and then perform targeted treatment.

The present invention revolves around the operating state of the arrester and the damage prediction, diagnosis and analysis system, constructs an early warning information link, lays out an early warning platform, implements effective early warning, and kills possible arrester failures in the bud, which has huge economic and safety benefits; among which is the support Early warning of lightning arrester failure, the means of identifying the type of early warning and its effectiveness, safety, and reliability are also used for intelligent supervision.

Description of drawings

Fig. 1 is a topological diagram of the operating state and damage prediction, diagnosis and analysis system of the arrester of the present invention.

Fig. 2 is a schematic diagram of the overall flow chart of the operating state and damage prediction, diagnosis and analysis method of the arrester of the present invention.

Fig. 3 is a module block diagram of the operating state and damage prediction, diagnosis and analysis system of the arrester of the present invention.

Detailed ways

The present invention will be described in further detail below in conjunction with specific examples, but the embodiments of the present invention include but are not limited to the scope indicated in the following examples.

Example

As shown in FIG. 1 , this embodiment provides a topological diagram of a lightning arrester operating state and damage prediction, diagnosis and analysis system.

A lightning arrester operating state and damage prediction, diagnosis and analysis system includes an acquisition module, a monitoring terminal, a communication module, a background system module, and a cloud platform module. The collection module, monitoring terminal, communication module and background system module are connected in sequence, and the cloud platform module is connected with the communication module. The acquisition module includes a leakage current sensor and an internal processing part passing through the down-conductor of the arrester, and also includes a lightning current sensor and an internal processing part passing through the down-conductor of the arrester; the monitoring terminal can be connected to 1-3 acquisition modules For data collection, the monitoring terminal also collects the bus PT information, and internally calculates, analyzes and transmits all the collected data; after multiple monitoring terminals transmit the data to the communication module, the communication module integrates internal information; The integrated data is transmitted to the background system module and the cloud platform module respectively; the background system module performs corresponding calculation, display, storage, and alarm after receiving the data transmitted by the communication module; the cloud platform module processes the data transmitted by the communication module, and then Pass the information to the user's mobile terminal (such as: WeChat applet, APP).

The working principle of the acquisition module is as follows:

Each lightning arrester is connected to the ground through the arrester down-conductor, and each acquisition module contains two through-hole sensors, namely the leakage current sensor and the lightning current sensor. These two through-hole sensors pass through the down-lead of the arrester on site. It is fixedly placed between the arrester and the ground. Due to the electrical characteristics of the lightning current, the two through-hole sensors adopt a non-contact induction method, which is transmitted to the ADC in the monitoring terminal for processing after internal signal isolation and signal processing;

Each acquisition module can collect data from one arrester. If there are multiple arresters on site, just configure the same number of acquisition modules.

The working principle of the monitoring terminal is as follows:

Each arrester on site will also have cables connected to the PT terminal box. The terminal box contains bus PT information. The monitoring terminal will directly collect the bus PT information and pass it to the ADC after signal isolation and signal processing. Information, internally processed by DSP for data storage and communication with the communication module;

Each monitoring terminal can correspond to at least 1 and at most 3 acquisition modules, and the monitoring terminal is connected to the communication module through optical fiber or network cable to transmit data.

The working principle of the communication module is as follows:

The communication module receives the data transmitted by multiple monitoring terminals through optical fiber or network cable, and then integrates the internal information, and then proceeds to the next step in the following two ways:

(1) The communication module transmits data through a wired connection with the background system module through an optical fiber/network cable, and the background system performs logical operation analysis before configuring and displaying and warning on the monitoring monitor;

(2) The communication module connects to the cloud platform module through the 3G/4G/5G wireless network to transmit data, and the cloud platform module performs data association and configuration of each arrester, and then pushes the data wirelessly to mobile phones/pads and other WeChat small Program or APP for display and warning.

As shown in FIG. 2 , a method for predicting, diagnosing, and analyzing the operating state and damage of an arrester includes the following steps.

S1. Data collection of each arrester

When each arrester is running, data can be collected through the leakage current sensor and lightning current sensor in the acquisition module;

Each surge arrester corresponds to one acquisition module.

S2. Monitoring terminal calculation, analysis and transmission

The monitoring terminal receives the data transmitted by S1 and adds the bus PT information directly collected by the monitoring terminal to perform internal calculations to obtain the leakage current, resistive current, capacitive current, lightning peak current, lightning unit energy, and lightning strike current of each arrester. Information such as the amount of charge, the maximum steepness of lightning, the number and time of lightning strikes;

A single monitoring terminal can complete calculation and analysis of at least 1 and at most 3 arrester data.

S3. The communication module integrates and transmits information

The communication module integrates internal information by receiving the data transmitted by S2.

S4. Data are uploaded to the background system and cloud platform respectively

The data transmitted by S3 is transmitted to different platforms: (1) It is transmitted to the background system module through optical fiber/network cable, and the background system module performs logical operation analysis, configuration screen and early warning, so as to realize local large-screen monitoring. (2) Through the 3G/4G/5G wireless network to the cloud platform module, after completing the configuration screen and warning on the cloud platform module, the screen display and alarm push are completed through the small program, so as to realize remote mobile small screen monitoring.

As shown in FIG. 3 , this embodiment provides a module block diagram of the operating state and damage prediction, diagnosis and analysis system of the arrester, and the working principles of the modules are as follows.

The arrester operating status and damage prediction diagnosis analysis system module mainly includes 5 parts, namely: 1 acquisition module, 2 monitoring terminal, 3 communication module, 4 background system module, 5 cloud platform module. Among them, the acquisition module 1 collects the operation data of the arrester and transmits it to the monitoring terminal 2; the monitoring terminal 2 performs calculations, analyzes and transmits the data to the communication module 3; the communication module 3 transmits the information to the background system module 4 and 5 Cloud platform module; 4. Backstage system module performs logical operation analysis, configuration screen and early warning, so as to realize local large-screen monitoring; 5. Cloud platform module can perform configuration screen and early warning, and complete screen display and alarm push through small programs , so as to realize remote mobile small screen monitoring.

The object of the present invention can realize lightning arrester operating status and damage prediction diagnosis analysis through the following technical solutions.

1) According to the site conditions, complete the configuration diagram of the operation status of the arrester and the damage prediction diagnosis analysis system.

2) Associate the data of each arrester in the configuration diagram with the actual operating arrester on site.

3) Virtually configure information such as leakage current, resistive current, capacitive current, lightning peak current, lightning unit energy, lightning charge, lightning maximum steepness, number of lightning strikes and time of each monitoring terminal, and the data comes from communication Module upload.

4) A damage prediction and diagnosis model is established in the background system, and the data is continuously filled into the damage diagnosis model after the acquisition and operation of big data. The more data is collected, the more accurate the prediction results after the model operation will be. At the same time, the configuration diagram can also set alarms for the running status and damage prediction. For example, you can set the color, font, and over-limit color for the running status and damage prediction. Set color separation display and flashing display, so as to realize visual early warning of arrester operating status and damage prediction diagnosis.

It should be noted that the operating status and damage prediction status of the arrester can be divided into 5 levels (excellent, medium, poor, and poor), which correspond to different colors: excellent (green), good (orange), medium (blue), and poor (purple). , Inferior (red), the higher the level, the higher priority the operation and maintenance personnel need to deal with.

The object of the present invention can be achieved through the following technical solutions to realize the early warning of the lightning arrester operating status of the cloud platform WeChat applet or APP.

1) In the cloud platform, according to the conditions of the lightning arresters on site, add the variables required to monitor each lightning arrester in the cloud configuration.

2) On the cloud platform, configure the screen.

3) In the cloud platform, associate the variable values in the configuration screen with the data transmitted by the communication module;

In the cloud platform, complete the alarm settings for monitoring each lightning arrester in the configuration screen, for example, you can set the color change and flashing of each monitoring lightning arrester. When the operating status of the arrester reaches the set range or a certain value, each arrester will change color and flash according to the setting, so as to remind personnel to deal with it and realize the visual early warning of the operating status of the arrester.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other.

Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention, those skilled in the art can make the above-mentioned The embodiments are subject to changes, modifications, substitutions and variations. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (5)

1. A lightning arrester operation state and damage prediction and analysis method is characterized in that:

collecting leakage current information through a leakage current sensor, collecting lightning current information at the moment of lightning stroke occurrence through a lightning current sensor, and collecting PT information through a bus; the collected data are transmitted to a monitoring terminal, the monitoring terminal obtains information such as leakage current, resistive current, capacitive current, thunder peak current, thunder unit energy, lightning stroke charge quantity, thunder maximum gradient, lightning stroke frequency and moment of each lightning arrester through operation processing, and the information is transmitted to a communication module; the communication module respectively transmits the results to the background system and the cloud platform after information integration; in a background system and a cloud platform, the running state and damage prediction diagnosis condition of the lightning arrester are judged by comprehensively judging the transmitted information, and meanwhile, the lightning arrester can be associated with an early warning characteristic value, so that an alarm is given in time when the parameter which does not meet the requirement is met, and the overhaul and maintenance are reminded.

2. The lightning arrester operation state and damage prediction diagnosis analysis method according to claim 1, characterized in that:

the method specifically comprises the following steps:

s1, collecting data of each lightning arrester

When each lightning arrester runs, data acquisition can be carried out through the corresponding leakage current sensor and the corresponding lightning current sensor;

s2, the monitoring terminal operates, analyzes and transmits

The monitoring terminal receives the data transmitted by the S1 and performs internal operation after adding bus PT information directly acquired by the monitoring terminal, so that information such as leakage current, resistive current, capacitive current, lightning peak current, lightning unit energy, lightning charge quantity, lightning maximum gradient, lightning frequency, lightning time and the like of each lightning arrester can be obtained;

a single monitoring terminal can cooperate to complete the operation and analysis of data of 1 to 3 lightning arresters;

s3, the communication module integrates and transmits the information

The communication module carries out internal information integration by receiving the data transmitted by the S2;

s4, respectively uploading the data to a background system and a cloud platform

And respectively transmitting the data transmitted by the S3 to a background system and a cloud platform.

3. The lightning arrester operation state and damage prediction diagnosis analysis method according to claim 2, characterized in that:

and after the data transmitted by the S3 are transmitted to the background system through the optical fiber/network cable, the background system performs logic operation analysis, configuration picture and early warning, thereby realizing local large-screen monitoring.

4. The lightning arrester operation state and damage prediction diagnosis analysis method according to claim 2, characterized in that:

and the data transmitted by the S3 is transmitted to the cloud platform through the 3G/4G/5G wireless network, and after configuration pictures and early warning are completed on the cloud platform, the configuration pictures and the early warning are displayed and sent through the mobile terminal, so that remote mobile small-screen monitoring is realized.

5. The utility model provides a lightning arrester running state and damage prediction diagnostic analysis system which characterized in that:

the lightning arrester monitoring system comprises an acquisition module, a monitoring terminal, a communication module, a background system module and a cloud platform module, wherein the acquisition module, the monitoring terminal, the communication module and the background system module are sequentially connected, the cloud platform module is connected with the communication module, and the acquisition module comprises a leakage current sensor and a lightning current sensor which are connected with each lightning arrester; the acquisition module acquires data of a leakage current sensor and a lightning current sensor and transmits the data to the monitoring terminal, the monitoring terminal acquires bus PT information at the same time and then performs operation processing on the data, and the processed result is transmitted to the background system module and the cloud platform module through the communication module respectively; the background system module receives the data transmitted by the communication module and then performs corresponding operation, display, storage and alarm; and the cloud platform module receives the data transmitted by the communication module, processes the data and transmits the information to the mobile terminal of the user.

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