CN117728568A - Method for monitoring power failure of platform region and guaranteeing safe operation based on big data fusion - Google Patents
Method for monitoring power failure of platform region and guaranteeing safe operation based on big data fusion Download PDFInfo
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Abstract
The invention discloses a method for monitoring power failure of a transformer area and guaranteeing safe operation based on big data fusion, which comprises the steps of obtaining environment information and operation information of power equipment; processing the acquired information to form an environment database and an operation database; mapping according to labels and marks in the database and an Embedding technology to form a comprehensive database; determining whether the power is off in the platform area, if yes, sending alarm information to the background terminal, if not, performing monitoring analysis on the operation information of each piece of power equipment, formulating different guarantee strategies, and sending analysis results and the guarantee strategies to the background terminal; monitoring environment information, if the environment information is abnormal, formulating different protection strategies, and sending the abnormal environment information and the protection strategies to a background terminal; the background terminal remotely operates and controls each device in the platform area according to the guarantee strategy and the protection strategy; the invention fuses various information in the platform region to realize linkage among all devices in the platform region, thereby improving the automation degree of the platform region.
Description
Technical Field
The invention relates to the technical field of power transmission and transformation, in particular to a method for monitoring power failure of a transformer area and guaranteeing safe operation based on big data fusion.
Background
With the rapid development of the power system and the promotion of the intelligent process, intelligent power operation and maintenance become an important development direction of the current power industry. As one of the key nodes of the power system, the transformer area plays an important role in ensuring the safety and stability of power supply. The traditional operation and maintenance mode of the transformer area has a series of problems such as low operation and maintenance efficiency, slow fault response, opaque information and the like, and limits the intelligent level and operation and maintenance quality of the power system.
The intelligent platform region needs to relate to various technologies such as Internet of things, big data analysis, cloud computing and the like. Today, where technology is evolving, keeping technology up to date, keeping up with the trend, is a not minor challenge. Security is also an important challenge. The intelligent area needs to interact with various devices, and if there is not enough security measure, risks such as data leakage, hacking and the like may be faced. Therefore, ensuring the security of the network and data of the intelligent station is a highly important issue. Reliability of the devices and sensors on which the zone intelligence depends is also a challenge. In power operation and maintenance, accurate real-time data is very important. But if the device or sensor fails, normal operation of the intelligent power operation and maintenance is affected. Therefore, it is a critical issue to choose reliable devices and sensors to ensure system stability. Lack of specifications and standards associated with zone intelligence is also a challenge. In the aspect of intelligent power operation and maintenance, the standardization and standardization of equipment, data acquisition, data analysis and the like are not perfect. This results in problems of compatibility, interoperability, etc. between systems, and increases the difficulty of intelligent power operation and maintenance.
Disclosure of Invention
The invention mainly solves the technical problems of providing a large data fusion-based power failure monitoring and safe operation guaranteeing method for a platform, which fuses various information in the platform to form a comprehensive book database, ensures the safety of data through mapping, realizes linkage among all devices in the platform, realizes automatic operation of the platform, and solves the problems of low power operation and maintenance efficiency and quality.
In order to solve the technical problems, the invention adopts a technical scheme that: the utility model provides a district outage monitoring and safe operation guarantee method based on big data fusion, which is characterized in that: the method comprises the following steps:
step one, acquiring environment information at a station area and operation information of power equipment in the station area;
step two, processing the acquired environment information and operation information to form an environment database and an operation database;
step three, mapping according to labels and marks in the environment database and the operation database and an Embedding technology to form a comprehensive database;
step four, acquiring operation information from the comprehensive database, determining whether a platform area is powered off, if yes, sending alarm information to a background terminal for alarming, otherwise, monitoring and analyzing the operation information of each power device, formulating different guarantee strategies according to analysis results, and sending the analysis results and the guarantee strategies to the background terminal;
acquiring environment information from the comprehensive database, monitoring the environment information in real time, formulating different protection strategies if the environment information is abnormal, and transmitting the abnormal environment information and the protection strategies to the background terminal;
and step six, displaying analysis results and abnormal environment information by the background terminal, and performing remote operation and control on each device in the platform area according to the guarantee strategy and the protection strategy.
Further, in the first step, the environmental information is obtained by: monitoring equipment is arranged inside and outside the platform region to monitor the environment states inside and outside the platform region.
Further, the monitoring device comprises a camera, a fire sensor and a smoke sensor.
Further, in the first step, the operation information is obtained in the following manner: and acquiring the operation parameter information of the power equipment during operation through the sensors arranged on the power equipment.
Further, the sensor includes a temperature sensor, a voltage sensor, and a current sensor.
Further, in the second step, the process of forming the environment database is as follows: the monitoring areas of all the monitoring devices are numbered, the types of objects in the monitoring areas are marked, the acquired continuous video information is divided by taking a natural day as a standard, and fifteen pieces of environment information are stored by adopting an overflow coverage principle as a storage standard to form an environment database.
Further, in the second step, the process of forming the operation database includes: numbering the sensors, marking the detection data according to the detection objects of the sensors, dividing the acquired continuous data by taking a natural day as a standard, and storing fifteen pieces of divided data as a storage standard by adopting an overflow coverage principle to form an operation database.
Further, in the fourth step, the analysis result includes: overload of electrical equipment, risk of failure of electrical equipment and power consumption anomalies.
Further, in the fifth step, the environment information exception includes: unauthorized personnel enter the bay, fire in the bay, and strong convective weather features occur in the monitored area.
In the sixth step, each device in the platform area includes each electrical device, a fire extinguishing system, an access control system and an alarm system.
The beneficial effects of the invention are as follows:
1. according to the invention, through data acquisition and monitoring, the platform region can realize real-time monitoring of the running state of the power equipment and rapid acquisition of fault information; through fault diagnosis and prediction, the transformer area can predict the fault risk of the power equipment through an algorithm and a model, and measures are taken in time to prevent or repair; through operation and maintenance management and optimization, the platform region can optimize operation and maintenance plans by using an intelligent technology, and improve the maintenance efficiency and energy efficiency management level of equipment.
2. The intelligent power operation and maintenance device can monitor the running state and various parameter indexes of the power system in real time, quickly identify and process potential safety hazards and fault risks, reduce the occurrence frequency of equipment faults and improve the safety of the power system through real-time fault diagnosis and predictive analysis, acquire the state, running data and fault alarm information of the power equipment in real time by means of the intelligent power operation and maintenance technology, quickly locate fault points, timely take targeted measures to respond and repair the faults, reduce the processing time of the faults, improve the recovery speed of the faults and reduce the power failure time and influence range.
3. According to the invention, equipment load prediction, electricity trend analysis and the like are performed on the power system through big data analysis and optimization algorithm, so that an equipment operation scheduling scheme is optimized, various equipment can operate more efficiently, the use of power resources is reasonably scheduled and controlled, the energy consumption of the power system is reduced, the power supply efficiency is improved, a large amount of manpower and material resource is required for carrying out inspection, equipment maintenance, fault treatment and other works in the traditional power system operation and maintenance, the intelligent power operation and maintenance can realize remote monitoring and automatic control of the equipment, the frequency of manual inspection and maintenance works is reduced, the operation and maintenance efficiency is improved, and the operation and maintenance cost is reduced.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments, as illustrated in the accompanying drawings.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings that are necessary for the description of the embodiments will be briefly described, it being obvious that the drawings in the following description are only one of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of the method of the present application.
Detailed Description
In order that the invention may be readily understood, a more particular description thereof will be rendered by reference to specific embodiments that are illustrated in the appended drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used in this specification includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 shows a method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion, which is characterized in that: the method comprises the following steps:
s1, acquiring environment information at a platform area and operation information of power equipment in the platform area;
s2, processing the acquired environment information and operation information to form an environment database and an operation database;
s3, mapping according to labels and marks in the environment database and the operation database and an Embedding technology to form a comprehensive database;
s4, acquiring operation information from the comprehensive database, determining whether a platform area is powered off, if yes, sending alarm information to a background terminal for alarming, otherwise, performing monitoring analysis on the operation information of each piece of power equipment, formulating different guarantee strategies according to analysis results, and sending the analysis results and the guarantee strategies to the background terminal;
s5, acquiring environment information from the comprehensive database, monitoring the environment information in real time, formulating different protection strategies if the environment information is abnormal, and sending the abnormal environment information and the abnormal protection strategies to the background terminal;
and S6, displaying the analysis result and the abnormal environment information by the background terminal, and performing remote operation and control on each device in the platform area according to the guarantee strategy and the protection strategy.
In the step S1, the environmental information is obtained by: monitoring equipment is arranged inside and outside the platform region to monitor the environment states inside and outside the platform region.
The monitoring equipment comprises a camera, a fire sensor and a smoke sensor; thereby obtaining video information, fire information and smoke information of the bay.
The operation information is obtained in the following manner: and acquiring the operation parameter information of the power equipment during operation through the sensors arranged on the power equipment.
The sensor comprises a temperature sensor, a voltage sensor and a current sensor; thereby obtaining the temperature, voltage, current and the like of the power equipment for female basic information.
In the step S2, the process of forming the environment database is as follows: the monitoring areas of all the monitoring devices are numbered, the types of objects in the monitoring areas are marked, the acquired continuous video information is divided by taking a natural day as a standard, and fifteen pieces of environment information are stored by adopting an overflow coverage principle as a storage standard to form an environment database.
The process of forming the operation database comprises the following steps: numbering the sensors, marking the detection data according to the detection objects of the sensors, dividing the acquired continuous data by taking a natural day as a standard, and storing fifteen pieces of divided data as a storage standard by adopting an overflow coverage principle to form an operation database.
In the step S4, the operation information is obtained from the comprehensive database, and the mode of determining whether the station is powered off is as follows: the operation information of each electric device or part of electric devices in the platform area is zero, specifically, the flowing current is zero, and the alarming is carried out by sending alarming information to the background terminal and carrying out alarming by the background terminal.
In the above step S4, the analysis result includes: overload of electrical equipment, risk of failure of electrical equipment and power consumption anomalies.
The monitoring and analyzing process comprises the following steps: the intelligent platform area system can reasonably plan and distribute the load by monitoring the load condition of each power equipment in real time. According to the current load level, the system can automatically adjust and optimize the running state of the equipment so as to avoid the occurrence of equipment failure or overload phenomenon caused by excessive load and ensure the stability of power supply. The intelligent platform area system can rapidly identify potential fault risks by monitoring the running states and data information of each device in real time. Based on the data analysis and the fault prediction model, the system can timely send out an alarm and generate a detailed fault diagnosis report, so that power operation and maintenance personnel can be helped to accurately judge the cause and the position of the fault, and corresponding repair measures can be timely taken. By monitoring the power consumption and the power consumption of the power equipment in real time, the intelligent platform system can analyze and optimize the energy consumption. The system can intelligently adjust the supply and consumption of the electric power according to the actual requirements of the equipment so as to achieve the purpose of energy conservation and provide corresponding energy conservation suggestions and measures.
Overload, power consumption anomaly and guarantee strategy: by monitoring the energy consumption condition and the environmental parameters of the power equipment in real time, the intelligent platform system can predict the future energy load through big data analysis and algorithm. Based on historical data and trend analysis, the system can predict energy consumption peak and valley periods in advance and correspondingly adjust the power supply strategy to balance energy demand and supply, so that efficient utilization of energy is realized. The intelligent platform area system can conduct deep analysis on energy consumption of the power equipment. By analyzing the electricity utilization characteristics, the energy consumption modes and the like of the equipment, the equipment with intensive energy consumption and the equipment with high energy consumption can be identified, and corresponding optimization suggestions are provided. For example, for high energy consumption devices, it may be recommended to upgrade or replace energy-saving devices and reduce energy consumption through intelligent control strategies. Thus, effective control of energy consumption and reduction of electric power operation cost can be achieved. The intelligent platform area system can evaluate the energy utilization efficiency of the power equipment through energy consumption monitoring and data analysis. The energy utilization efficiency of the device can be judged by comparing the actual energy consumption of the device with the rated energy consumption of the device. The system can provide energy consumption scoring and energy efficiency improvement suggestions, helps power operation staff identify and improve equipment with low energy utilization efficiency, and further improves the energy utilization efficiency of the whole power system. The intelligent platform region system can implement energy-saving control and optimization strategies according to the energy consumption data analysis. For example, the operation mode of the equipment is adjusted according to the load condition of the equipment, the load is reasonably distributed, and the energy-saving consumption is reduced. In addition, through intelligent control strategies, such as dynamic voltage regulation and power optimization, the energy efficiency of the power system can be further improved, and the energy waste is reduced.
The electrical equipment has fault risk and assurance policies: the intelligent platform area system can rapidly identify the position and the reason of the fault by monitoring and analyzing the operation state and the data information of the power equipment in real time. The system can automatically perform fault diagnosis based on a fault prediction model and an algorithm and provide detailed diagnosis reports. Therefore, operation and maintenance personnel can check the fault diagnosis result through the remote terminal equipment, accurately judge the fault cause and the position, and provide guidance and basis for fault treatment. The intelligent platform area system can realize remote operation and control of the power equipment. Through remote terminal equipment, operation and maintenance personnel can remotely restart equipment, adjust parameters, switch equipment and the like, and rapidly cope with faults. The remote operation function can greatly shorten the response time, improve the speed and efficiency of fault processing and reduce the cost of manual intervention and business trip. The intelligent platform area system records and stores fault information and historical data of the power equipment. By analyzing and counting fault data, the system can help identify frequently occurring fault types and equipment vulnerabilities, providing improvement suggestions and measures. This can help power operators to optimize fault prevention and equipment maintenance plans. The intelligent platform area system can also provide remote fault solutions and technical support for power operation and maintenance personnel through a remote support function. The operation and maintenance personnel can communicate and cooperate with technical specialists in real time through the remote terminal equipment, so that the complex fault problem is solved together. In addition, the system can also provide online training resources, including fault diagnosis, maintenance methods, operation steps and the like, so as to help operation and maintenance personnel to improve skills and improve work efficiency and quality.
In the above step S5, the environment information anomaly includes: unauthorized personnel enter the bay, fire in the bay, and strong convective weather features occur in the monitored area.
Environmental information anomaly and protection strategy: the intelligent platform area system can monitor all areas and equipment in the platform area in real time by installing cameras and a video monitoring system. The system may use intelligent analysis algorithms to identify abnormal behavior such as unauthorized personnel entry, dangerous goods presence or equipment operation anomalies, and immediately send alarm information to the relevant personnel. Thus, potential security threats and risks can be found in time, and corresponding measures can be taken. The intelligent platform area system can integrate an access control system to realize access control of the platform area. Only authorized personnel are allowed to enter the platform area through an identification technology such as passwords, fingerprints or card swiping, and the security of the platform area is ensured. Meanwhile, the system can record information and time of people entering and exiting, provide later audit and tracing functions, and strengthen access control management of the platform area. The intelligent platform area system can be used for deploying fire sensors and smoke detectors and timely monitoring fire risks in the platform areas. Once a fire or smoke is found, the system automatically triggers an alarm device and simultaneously sends an alarm message to the fire department. In addition, the system can be integrated with a fire extinguishing system to realize automatic water spraying, gas fire extinguishing or power supply closing and other fireproof measures so as to reduce the damage of fire to the greatest extent. The intelligent transformer area system can implement lightning protection measures, such as installation of lightning rods, a grounding system, a radar early warning system and the like, so as to reduce the influence of lightning strokes on equipment and ensure electric power safety. The system can monitor weather changes and lightning activities in real time, early warning is carried out in time, and relevant personnel are informed of taking necessary protective measures.
In the step S6, each device in the platform area includes each electrical device, a fire extinguishing system, an access control system and an alarm system.
Through the remote control function, remote operation and control of various power equipment are realized. The power operation and maintenance personnel can monitor and control the equipment operation conditions in the console area through the remote terminal equipment to perform operations such as remote switch operation, parameter adjustment and the like. Therefore, the operation requirements of the equipment can be responded more flexibly and in real time, the risk of accidents is reduced, and the efficiency and reliability of power operation and maintenance are improved.
The invention improves the automation degree, the intelligent level and the operation management efficiency of the transformer area through means of automatic control, data acquisition and analysis, fault early warning and diagnosis, energy management and optimization, remote monitoring and maintenance, safety management and protection and the like.
The foregoing is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the present invention and the accompanying drawings, or direct or indirect application in other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for monitoring power failure of a platform and guaranteeing safe operation based on big data fusion is characterized by comprising the following steps: the method comprises the following steps:
step one, acquiring environment information at a station area and operation information of power equipment in the station area;
step two, processing the acquired environment information and operation information to form an environment database and an operation database;
step three, mapping according to labels and marks in the environment database and the operation database and an Embedding technology to form a comprehensive database;
step four, acquiring operation information from the comprehensive database, determining whether a platform area is powered off, if yes, sending alarm information to a background terminal for alarming, otherwise, monitoring and analyzing the operation information of each power device, formulating different guarantee strategies according to analysis results, and sending the analysis results and the guarantee strategies to the background terminal;
acquiring environment information from the comprehensive database, monitoring the environment information in real time, formulating different protection strategies if the environment information is abnormal, and transmitting the abnormal environment information and the protection strategies to the background terminal;
and step six, displaying analysis results and abnormal environment information by the background terminal, and performing remote operation and control on each device in the platform area according to the guarantee strategy and the protection strategy.
2. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the first step, the environmental information is obtained by: monitoring equipment is arranged inside and outside the platform region to monitor the environment states inside and outside the platform region.
3. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 2, wherein the method is characterized in that: the monitoring equipment comprises a camera, a fire sensor and a smoke sensor.
4. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the first step, the operation information is obtained in the following manner: and acquiring the operation parameter information of the power equipment during operation through the sensors arranged on the power equipment.
5. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 4, wherein the method is characterized in that: the sensor includes a temperature sensor, a voltage sensor, and a current sensor.
6. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the second step, the process of forming the environment database is as follows: the monitoring areas of all the monitoring devices are numbered, the types of objects in the monitoring areas are marked, the acquired continuous video information is divided by taking a natural day as a standard, and fifteen pieces of environment information are stored by adopting an overflow coverage principle as a storage standard to form an environment database.
7. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the second step, the process of forming the operation database is as follows: numbering the sensors, marking the detection data according to the detection objects of the sensors, dividing the acquired continuous data by taking a natural day as a standard, and storing fifteen pieces of divided data as a storage standard by adopting an overflow coverage principle to form an operation database.
8. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the fourth step, the analysis result includes: overload of electrical equipment, risk of failure of electrical equipment and power consumption anomalies.
9. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the fifth step, the environment information exception includes: unauthorized personnel enter the bay, fire in the bay, and strong convective weather features occur in the monitored area.
10. The method for monitoring power failure and guaranteeing safe operation of a platform area based on big data fusion according to claim 1, wherein the method is characterized in that: in the sixth step, each device in the platform area comprises each electrical device, a fire extinguishing system, an access control system and an alarm system.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118278782A (en) * | 2024-06-04 | 2024-07-02 | 国网山东省电力公司滨州市沾化区供电公司 | Method, system, electronic equipment and readable storage medium for monitoring and analyzing power data of area based on big data processing |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118278782A (en) * | 2024-06-04 | 2024-07-02 | 国网山东省电力公司滨州市沾化区供电公司 | Method, system, electronic equipment and readable storage medium for monitoring and analyzing power data of area based on big data processing |
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