Accident processing flow management optimization system

Abstract

The invention belongs to the technical field of hydraulic power plant management systems, and particularly provides an accident processing flow management optimization system which comprises an information acquisition unit, a communication unit, a control unit and a display unit. The information acquisition unit is used for acquiring accident data; the communication unit is used for accessing accident data information to realize communication connection among the units of the system; the control unit is used for storage, analysis, management, optimization, risk assessment and intelligent control of the collected accident data information; and the display unit is used for equipment accident information visualization and remote external connection. According to the system, the safety supervision level can be improved, and the correctness and rapidity of operation accident handling are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydropower plant management systems, and specifically, relates to an optimized system for accident handling process management. Background Art

[0002] A hydropower plant accident management system is a system used to monitor, manage, and respond to potential accidents and emergencies in a hydropower plant. Such a system usually includes the following functions: 1) Real-time monitoring: Real-time monitor the operating status of each key part of the hydropower plant through sensors and monitoring devices, including parameters such as water level, water pressure, temperature, voltage, etc.

[0003] 2) Early warning function: Based on the monitoring data, the system can perform early warning analysis, and early warn of possible problems or accidents, helping the operation personnel to take measures in time to avoid accidents.

[0004] 3) Accident response: Once an accident occurs, the system will automatically trigger the corresponding emergency response procedure, send an alarm to relevant personnel, and provide detailed accident information and response suggestions to help personnel make a quick response.

[0005] 4) Data recording and analysis: The system will record the operating data of the hydropower plant for accident analysis and post-event summary, helping to improve the safety management level and reduce the possibility of accidents.

[0006] 5) Remote monitoring: Some systems support the remote monitoring function, enabling management personnel to remotely monitor the operating status of the hydropower plant through the Internet, discover problems in time and take measures.

[0007] The design of the hydropower plant accident management system aims to improve the safety and reliability of the hydropower plant, ensure the safety of workers and equipment, and at the same time minimize the impact of accidents on the environment and public safety. However, in the prior art, due to the numerous accident phenomena and various accident causes in the low-voltage distribution network, the current analysis of the accident handling process still mainly relies on manual item-by-item analysis and empirical judgment. Most of this analysis mode deals with one thing at a time and cannot accurately evaluate the efficiency and work quality of each process of accident handling, bringing many inconveniences to the work quality assessment and improvement of accident handling. Summary of the Invention

[0008] The technical problem to be solved by the present invention is to provide an optimized system for accident handling process management, improve the safety supervision level, and ensure the correctness and rapidity of operating accident handling.

[0009] To solve the above technical problems, the technical solution adopted by the present invention is as follows: An accident handling process management optimization system, including an information collection unit, a communication unit, a control unit, and a display unit; the information collection unit is used for accident data collection; the communication unit is used for accessing accident data information to achieve communication connection between the various units of the system; the control unit is used for storing, analyzing, managing, optimizing, risk assessing, and intelligently controlling the collected accident data information; the display unit is used for visualizing equipment accident information and remote external connection.

[0010] In a preferred solution, the information collection unit includes a sensor module, an RFID tag module, and an aggregation node module; the sensor module includes a variety of sensors installed in different devices to collect device data; the RFID tag module arranges, caches, and filters the data collected by the sensor module; the aggregation node module classifies and summarizes the data processed by the RFID tag module and outputs it.

[0011] In a preferred solution, the RFID tag module encodes the data collected in the sensor module through RFID tags, verifies it through a reader, arranges, caches, filters the data that has completed the reading and writing work in sequence, and finally stores it in the control unit; data filtering of the collected data includes removing redundant data and overlapping data from the collected data.

[0012] In a preferred solution, the control unit includes a storage module, an analysis module, a management module, an optimization module, a risk assessment module, and an intelligent control module; the storage module stores the data of each device collected by the information collection unit; the analysis module analyzes and processes the collected data and outputs results according to the analysis and processing; the management module controls the entire control unit; the optimization module is used to learn, train, and optimize the analysis results of each analysis module; the risk assessment module assesses equipment accidents according to the results output by the analysis module and feeds them back to the display unit; the intelligent control module performs intelligent control of the equipment according to the results output by the analysis module.

[0013] In a preferred solution, the analysis module includes two forms: list display and chart display. The list display includes functions such as accident information display, accident information query, accident information addition, and accident information deletion. Among them, the information query includes modules for querying accident description information, accident cause query, and accident summary query; the chart display includes real-time statistics of the number of accidents and the total number of accidents.

[0014] In a preferred solution, the management module is used for login registration, information management, system management, and analysis result management.

[0015] In the preferred solution, the optimization module first automatically crawls the accident information and screens it manually. Specifically, it uses the WebMagic technology and search engines to crawl the accident information on relevant websites and stores the crawling results in the storage module. After the crawling is completed, it performs word segmentation using the accurate word segmentation in ANSJ, conducts word vector training after the word segmentation, and finally realizes the accurate classification of all accident information in the database by combining information word segmentation and manual adjustment.

[0016] In the preferred solution, the intelligent control module includes a proportional unit, an integral unit, and a differential unit, which are used to remotely control the equipment and eliminate the deviation in each equipment. The deviation is eliminated after being processed by proportional, integral, and differential operations. The expression is: ; In the formula: e(t) represents the deviation; r(t) represents the ideal signal input; y(t) represents the output signal; k 1, k 2, k 3 represent the proportional coefficient, integral coefficient, and differential coefficient to be adjusted; u(t) represents the output signal.

[0017] In the preferred solution, the PSO intelligent algorithm is used to online adjust the proportional coefficient k 1, k 2, k 3. The process of the PSO intelligent algorithm to find the optimal solution is expressed as: ; In the formula: V ( t +1) represents t the particle movement speed at the V ( t ) represents t the particle movement speed at the X ( t +1) represents t the particle position at the X ( t ) represents t the particle position at the w represents the particle speed weight; c 1, c 2, r 1, r 2 represent random numbers; The PSO intelligent algorithm is used to adjust the control parameters of the PID, and the objective function is selected as: ; In the continuous iteration of PSO, the dynamic adjustment of performance indicators is realized according to the change of voltage. J For each value of the performance indicator, it is stored and compared, and the smallest J value is selected as the target. The particle position corresponding to the smallest J value is the initial value of parameters J 1, k 1, k 2, k 3.

[0018] In the preferred solution, the display unit includes an information display module and a background management module; the display module is used to display the operation status of each device, and the background management module is used for information processing, system management and remote connection.

[0019] An accident handling process management optimization system provided by the present invention realizes the comprehensive collection and accurate analysis of equipment safety accident information, can better promote safety management work, improve the safety supervision level, provide a more solid guarantee for the safe and stable operation of equipment, and at the same time ensure the correctness and rapidity of operation accident handling; in addition, the system of the present invention has functions such as information classification, location positioning, user management, data deletion and modification, system management and information retrieval, and can ensure the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will be further described below in conjunction with the drawings and embodiments: Figure 1 is the system schematic diagram of the present invention; Figure 2 is the schematic diagram of the information collection unit of the present invention.

[0021] Figure 3 is the schematic diagram of the analysis module of the present invention.

[0022] Figure 4 is the schematic diagram of the management module of the present invention.

[0023] Figure 5 is the schematic diagram of the intelligent control module of the present invention DETAILED DESCRIPTION OF THE INVENTION In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and are not used to limit the present invention.

[0024] An accident handling process management optimization system, as Figure 1 shown, includes an information collection unit, a communication unit, a control unit and a display unit.

[0025] The information collection unit is used for accident data collection. It collects relevant data and information of personnel and the operation site through electronic tags and various sensors deployed at various positions in the target area for accident data collection; The communication unit is used for accessing accident data information and realizes communication connections between various units of the system through a network module; The control unit is used for storing, analyzing, managing, optimizing, risk assessing, and intelligently controlling the collected accident data information; The display unit is used for visualizing equipment accident information and remote external connection to achieve accident risk control.

[0026] In one embodiment, as Figure 2 shown, the information collection unit includes a sensor module, an RFID tag module, and an aggregation node module.

[0027] The sensor module includes various sensors installed in different devices to collect device data; the RFID tag module arranges, caches, and filters the data collected by the sensor module; the aggregation node module classifies and summarizes the data processed by the RFID tag module and outputs it.

[0028] In one embodiment, as Figure 2 shown, the RFID tag module encodes the data collected in the sensor module through RFID tags, verifies it through a reader, arranges, caches, filters the data that has completed the reading and writing work in sequence, and finally stores it in the control unit.

[0029] The data filtering is to remove redundant data and overlapping data from the collected data.

[0030] In one embodiment, the control unit includes a storage module, an analysis module, a management module, an optimization module, a risk assessment module, and an intelligent control module.

[0031] The storage module stores the data of each device collected in the information collection unit; the analysis module analyzes and processes the collected data and outputs results according to the analysis and processing; the management module controls the entire control unit; the optimization module is used to learn, train, and optimize the analysis results of the analysis module each time; the risk assessment module assesses equipment accidents according to the results output by the analysis module and feeds back to the display unit; the intelligent control module performs intelligent control of the equipment according to the results output by the analysis module.

[0032] In one embodiment, as Figure 3As shown, the analysis module includes two forms: list display and chart display. The list display includes functions such as accident information display, accident information query, accident information addition, and accident information deletion. Among them, the information query includes modules for accident description information query, accident cause query, and accident summary query; the chart display includes real-time statistics of the number of accidents and the total number of accidents.

[0033] In one embodiment, as Figure 4 shown, the management module is used for login registration, information management, system management, and analysis result management.

[0034] Login registration: The login function enables registered users to complete the operation of logging in to the system by verifying user name and password information; the registration function enables unregistered users to complete the registration operation by inputting personal information; Information management: The function of managing the crawled information realizes the display of the list page of the accident information crawled and saved in the database, and provides operations such as editing, deleting, and querying; System management: It is used for functions such as user information management, display of the newly added data volume, display of the data volume to be processed, viewing of log information, and display of accident summary information; Analysis result management: Realizes the chart display of accident information.

[0035] In one embodiment, the optimization module is used to classify accident information. First, it automatically crawls accident information and uses manual methods for screening. Specifically, it uses WebMagic technology and search engines to crawl accident information on relevant websites and stores the crawling results in the storage module. After the crawling is completed, it performs word segmentation processing using accurate word segmentation in ANSJ. After word segmentation, it conducts word vector training. Finally, it uses a combination of information word segmentation and manual adjustment to achieve accurate classification of all accident information in the database.

[0036] In one embodiment, as Figure 5 shown, the intelligent control module includes a proportional unit, an integral unit, and a differential unit, and is used to remotely control the equipment to eliminate the deviation in each device. The deviation is eliminated after being processed by proportional, integral, and differential operations. The expression is: ; In the formula: e(t) represents the deviation; r(t) represents the input ideal signal; y(t) represents the output signal; k 1, k 2, k 3 represent the proportional coefficient, integral coefficient, and differential coefficient to be adjusted; u(t) represents the output signal.

[0037] The proportional coefficient is adjusted online using the PSO intelligent algorithm k 1、 k 2、 k 3 is adjusted online. The process of the PSO intelligent algorithm to find the optimal solution is expressed as: ; In the formula: V ( t +1) represents t the particle movement speed at the +1 moment; V ( t ) represents t the particle movement speed at the moment; X ( t +1) represents t the particle position at the +1 moment; X ( t ) represents t the particle position at the moment; w represents the particle speed weight; c 1、 c 2、 r 1、 r 2 represent random numbers; The control parameters of the PID are adjusted using the PSO intelligent algorithm, and the objective function is selected as: ; In the continuous iteration of the PSO, the dynamic adjustment of the performance index J is realized according to the change of voltage. For each value of the performance index J , it is stored and compared, and the smallest J value is selected as the target. The particle position corresponding to the smallest J value is the initial value of the parameters k 1、 k 2、 k 3, realizing the stable control of the device performance.

[0038] In one embodiment, the display unit includes an information display module and a background management module; the display module is used to display the operation status of each device, and the background management module is used for information processing, system management, and remote connection.

[0039] Those skilled in the art can easily understand that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. 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

1. An accident handling process management optimization system, characterized in that: It includes an information collection unit, a communication unit, a control unit and a display unit; the information collection unit is used for accident data collection; the communication unit is used for accessing accident data information and realizing communication connection between various units of the system; the control unit is used for storage, analysis, management, optimization, risk assessment and intelligent control of collected accident data information; the display unit is used for visualization of equipment accident information and remote external connection.

2. The accident handling process management optimization system according to claim 1 is characterized in that: The information collection unit includes a sensor module, an RFID tag module and a collection node module; the sensor module includes multiple sensors installed in different devices to collect device data; the RFID tag module arranges, caches and filters the data collected by the sensor module; the collection node module classifies, summarizes and outputs the data processed by the RFID tag module.

3. The accident handling process management optimization system according to claim 2 is characterized in that: The RFID tag module encodes the data collected in the sensor module through the RFID tag, verifies it through the reader / writer, arranges, caches and filters the data after the reading and writing work in sequence, and finally stores it in the control unit; filtering the collected data includes removing redundant data and overlapping data from the collected data.

4. The accident handling process management optimization system according to claim 1 is characterized in that: The control unit includes a storage module, an analysis module, a management module, an optimization module, a risk assessment module and an intelligent control module; the storage module stores the data collected by each device in the information collection unit; the analysis module analyzes and processes the collected data, and outputs the results according to the analysis and processing; the management module controls the entire control unit; the optimization module is used to learn, train and optimize the analysis results of each analysis module; the risk assessment module evaluates equipment accidents according to the results output by the analysis module, and feeds back to the display unit; The intelligent control module performs intelligent control of the equipment according to the results output by the analysis module.

5. The accident handling process management optimization system according to claim 4 is characterized in that: The analysis module includes two forms: list display and chart display. The list display includes accident information display, accident information query, accident information addition and accident information deletion functions, wherein the information query includes accident description information query, accident cause query and accident summary query module; The chart displays real-time statistics including the number of accidents and the total number of accidents.

6. The accident handling process management optimization system according to claim 4 is characterized in that: The management module is used for login registration, information management, system management and analysis result management.

7. The accident handling process management optimization system according to claim 4 is characterized in that: The optimization module first automatically crawls the accident information and screens it manually, specifically using WebMagic technology and search engines to crawl accident information from relevant websites, and stores the crawling results in the storage module. After the crawling is completed, the precise word segmentation in ANSJ is used for word segmentation. After the word segmentation is completed, word vector training is performed. Finally, a combination of information segmentation and manual adjustment is used to achieve accurate classification of all accident information in the database.

8. The accident handling process management optimization system according to claim 4 is characterized in that: The intelligent control module includes a proportional unit, an integral unit and a differential unit, which are used to remotely control the equipment and eliminate the deviation in each device. The deviation is eliminated after being processed by proportional, integral and differential operations. The expression is: ； Where: e(t) Indicates deviation; r(t) represents the ideal signal of the input; y(t) Indicates the output signal; k 1. k 2. k 3 represents the proportional coefficient, integral coefficient and differential coefficient to be adjusted; u(t) Indicates the output signal.

9. The accident handling process management optimization system according to claim 8 is characterized in that: The PSO intelligent algorithm is used to calculate the proportional coefficient k 1. k 2. k 3. Online adjustment is performed, and the process of PSO intelligent algorithm finding the optimal solution is expressed as: ； Where: V ( t +1) indicates t The particle speed at time +1; V ( t )express t The speed of the particle at that moment; X ( t +1) indicates t The particle position at time +1; X ( t )express t The particle position at the time; w Represents the particle velocity weight; c 1. c 2. r 1. r 2 represents a random number; The PSO intelligent algorithm is used to adjust the control parameters of PID, and the objective function is selected as: ； In the continuous iteration of PSO, the performance indicators are adjusted according to the changes in voltage. J Dynamic adjustment, for each performance indicator J The values ​​are stored and compared, and the smallest one is selected. J The value is the target, the smallest J The particle position corresponding to the value is the parameter k 1. k 2. k The initial value is 3.

10. The accident handling process management optimization system according to claim 1, characterized in that: The display unit includes an information display module and a background management module; the display module is used to display the operation status of each device, and the background management module is used for information processing, system management and remote external connection.

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