Electric energy meter intelligent early warning system based on big data analysis

Abstract

The invention discloses an electric energy meter intelligent early warning system based on big data analysis, and relates to the technical field of safety early warning for power production, and the system comprises an acquisition monitoring device, an analysis control device, a display device, and an intelligent early warning device. The intelligent early warning device comprises an automatic alarm, the automatic alarm is electrically connected with the analysis control device, and the automatic alarm is used for alarming when the analysis control device analyzes that the meter body temperature, the meter body humidity and the meter voltage of the electric energy meter exceed a preset safety data range and only one item of data exceeds preset data. Namely, the automatic alarm gives an alarm sound to remind an electric power maintenance worker to carry out safety inspection; the system supports on-line real-time monitoring of the electric meter, and the system has a timely early warning function on the fault of the electric meter, so that the system can timely remind a worker, the worker can timely process the fault of the electric meter, and the worker can timely take measures to guarantee safe and normal operation of the electric meter according to the received judgment abnormal early warning.

Description

Technical Field

[0001] The present invention relates to the technical field of safety early warning for electric power production, and in particular to an intelligent early warning system for electric energy meters based on big data analysis. Background Art

[0002] The collection, measurement, storage and transmission of electric energy mainly rely on electric energy meters, and their accuracy is related to the vital interests of power grid companies and every user. The accuracy of electric energy meter status evaluation requires the electric energy meter to diagnose abnormalities in real time. For most of the electric energy meters removed from the site at this stage, the relevant data of the removed smart electric energy meters are not effectively collected during the sorting and inspection of the removed meters due to the irregular entry of fault information, which seriously affects the data statistics of faulty electric energy meters and the analysis of fault causes; at the same time, the fault types of smart electric energy meters are complex and diverse. When a fault occurs, the staff needs to be able to quickly repair and maintain it. However, in actual operation, the operation and maintenance system cannot quickly and accurately determine the specific fault type, which reduces the maintenance efficiency of the faulty electric energy meter. Therefore, the rapid and accurate fault diagnosis of smart electric energy meters is a key step to improve the efficiency of electric energy meter maintenance, and an electric energy meter intelligent early warning system based on big data analysis is needed.

[0003] On this basis, after searching the patent website, Chinese patent announcement number CN118011307A discloses an electric energy meter fault data monitoring system and data storage medium. The present invention sets the metering abnormality influencing factor by combining the corresponding through voltage and internal temperature of the electric energy meter, and sets the display abnormality influencing factor by combining the temperature and humidity of the environment where the electric energy meter is located and the aging condition, thereby analyzing the display abnormality index of the target electric energy meter, improving the accuracy of the metering abnormality analysis of the electric energy meter, reducing the metering error, reducing the risk of failure, and improving the efficiency of fault prevention and diagnosis; It can be seen that there are shortcomings in the above patent application: the metering anomaly monitoring method of the traditional electricity meter fault data monitoring system has a relatively simple function, and the amount of calculated data is large. The system processing process is complicated and the intelligent efficiency is poor, which can easily lead to inaccurate warning results; and the system lacks the function of fault warning, and cannot realize the start of online warning work when a fault is found. The system has a limited scope of use and cannot remind staff in time, which affects people's inability to deal with the fault of the electricity meter in time, causing losses to people.

[0004] To address the above problems, an intelligent early warning system for electricity meters based on big data analysis is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent early warning system for electric energy meters based on big data analysis. The system is used to work, thereby solving the problem that the metering abnormality monitoring method of the traditional electric energy meter fault data monitoring system in the above-mentioned background technology is relatively simple in function, and the amount of calculated data is large, the system processing process is complex and the intelligent efficiency is poor, which can easily lead to inaccurate early warning results; and the system lacks the function of fault early warning, and cannot realize the start of online early warning work when a fault is found. The system has a limited scope of use and cannot remind staff in time, which affects people's inability to deal with the fault of the electric energy meter in time, causing losses to people.

[0006] To achieve the purpose of the present invention, the technical solution provided by the present invention is as follows: an intelligent early warning system for electric energy meters based on big data analysis, characterized in that it includes: a collection and monitoring device, an analysis and control device, a display device, and an intelligent early warning device; Preferably, the intelligent early warning device includes an automatic alarm, which is electrically connected to the analysis and control device. When the analysis and control device analyzes that the meter body temperature, meter body humidity, and meter voltage of the electric energy meter exceed the preset safety data range, and only one of the data exceeds the preset data, the automatic alarm sounds an alarm to remind the operating power maintenance worker to perform a safety inspection; Preferably, the intelligent early warning device further includes an ESAM module of the electric energy meter and an electric power safety monitoring module, wherein the intelligent early warning module is used to locate the abnormal position of the electric energy meter according to the generated safety early warning instruction and generate corresponding safety early warning information; Preferably, the ESAM module of the electric energy meter is a security access module in the electric energy meter, which is mainly used to realize data protection and security access control. It has a hardware password function, which can protect sensitive data in the electric energy meter from illegal access and tampering, and improve the safety and reliability of the electric energy meter. The ESAM module is generally composed of an MCU, a Flash memory, an encryption algorithm, and a protection function module; Preferably, the intelligent warning module locates the abnormal position of the electric meter according to the generated safety warning instruction, and generates corresponding safety warning information, including mapping the abnormal point to the corresponding node in the virtual model of the electric meter, marking the operation state of the corresponding node as an abnormal state, obtaining the monitoring node associated with the virtual node in the abnormal state, and marking the line related to the monitoring node as abnormal, aggregating the virtual node in the abnormal state and the line marked as abnormal, generating corresponding safety warning information, and sending the generated safety warning information to the monitoring center; Preferably, the acquisition monitoring device includes a temperature detection module, a humidity detection module, a voltage detection module and a camera. The acquisition monitoring device is used to detect and record the environmental information of the electric energy meter, and at the same time send the data information collected by the electric meter to the analysis and control device; the temperature and humidity detection modules are respectively connected to the electric energy meter equipment to receive the temperature and humidity data information of the electric energy meter; the voltage detection module is installed and connected to the electric energy meter equipment to receive the voltage data information in real time; the acquisition monitoring device also includes a leakage protector, which is used to determine whether there is leakage in the electric energy meter and the electric energy meter circuit by measuring the difference in current. When the current difference exceeds the set threshold, it will automatically cut off the power supply to protect the safety of the electric energy meter equipment; Preferably, the analysis and control device is electrically connected to the display device. When the analysis and control device receives information from the collection and monitoring device, it comprehensively analyzes the received information and displays the analysis results through the display device. The analysis and control device includes a controller, which is used to receive various data information sent by the temperature detection module, the humidity detection module, the voltage detection module and the camera, and analyze the data information, convert the received information into a digital signal, and finally transmit the integrated information to the control terminal through the wireless module. The control terminal is connected to the intelligent early warning device, and the control terminal is connected to the display device.

[0007] Preferably, the analysis and control device is used to process the collected meter operation data to obtain the meter safety assessment coefficient. The analysis and control device is used to analyze the meter operation status according to the obtained meter safety assessment coefficient, and determine whether there is any abnormality in the meter according to the analysis result. If there is any abnormality, a safety warning instruction is generated.

[0008] Preferably, the display device comprises a screen display device, and the screen display device is used to display data of relevant environmental information collected by the collection and monitoring device.

[0009] Preferably, the screen display device includes a left screen and a right screen; the left screen and the right screen are arranged on the left and right sides of the electric energy meter component, and are used to facilitate the detection workers to observe the surrounding images of the computer room captured by the camera in real time indoors, and transmit the images to the display device, so that the power maintenance workers can observe the surrounding environment of the electric energy meter at any time, and further assist the workers to understand the surrounding environment of the electric energy meter; when the camera captures a dangerous situation around the electric energy meter, the power maintenance workers can conduct a safety inspection of the electric energy meter.

[0010] Preferably, the "electricity safety monitoring module" is an intelligent electricity safety monitoring module with a rapid early warning platform, which is mainly used to ensure the safe operation of electrical equipment and circuit systems and prevent various safety accidents caused by electrical failures. The "electricity safety monitoring module" integrates advanced detection, control and protection functions to ensure personnel safety and equipment integrity in the electricity environment.

[0011] Preferably, the analysis and control device includes a microcontroller, a wireless module and a control terminal; the microcontroller connection end is connected to a temperature detection module, a humidity detection module, a voltage detection module, a camera and a leakage protector, and the wireless module connection end is connected to the control terminal.

[0012] Preferably, the wireless module is used to connect the microcontroller to the control terminal via a wireless network, and the microcontroller is used to receive and analyze the information detected by the temperature detection module, humidity detection module, voltage detection module, camera and leakage protector.

[0013] Preferably, the information received by the microcontroller is converted into a digital signal, and finally the integrated information is transmitted to the control terminal through the wireless module, and the control terminal is connected to the intelligent early warning device.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1. The system of the present invention can obtain the power environment information and fault information of the smart energy meter in real time, monitor the operation quality for a long time, and use the data correlation method to collect proportional data for the smart energy meter and the sensor, thereby reducing the calculation complexity and cost. At the same time, a deep learning module with self-evolution capability can be established, and the fault model of the energy meter measurement data can be fitted by means of big data modeling and analysis. Optimize the problem of inaccurate early warning results caused by disturbances of factors that cannot be simulated and emulated under complex working conditions, realize the self-evolution of online monitoring technology for smart electricity meter faults, improve the degree of intelligence, and improve the system's work efficiency in electricity meter detection.

[0016] 2. The present invention obtains the operating status of the electric energy meter in real time through the data acquisition terminal, and conducts a comprehensive analysis of the operating status of the electric energy meter. Then, based on the comprehensive analysis result, the operation of the electric energy meter is evaluated at intervals, and the location causing the abnormal operation of the electric energy meter is further determined, thereby realizing effective monitoring of the operating status of the electric energy meter. When the operation of the electric energy meter is abnormal, the location of the abnormality can also be quickly determined.

[0017] 3. The present invention solves the problem of delay caused by traditional manual operation errors. The system supports online real-time monitoring of electric meters, and the system can provide timely warning for electric meter failures. The system can promptly remind staff members so that they can deal with the failures of electric meters in a timely manner, thereby reducing the extent of losses caused by people. Staff members can take timely countermeasures based on the abnormal warnings received, thereby expanding the scope of use of the system and ensuring the safe and normal operation of electric meters. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 The overall structure diagram of the electric energy meter intelligent early warning system based on big data analysis provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] like Figure 1 As shown, the intelligent early warning system of electric energy meter based on big data analysis is characterized by comprising: a collection and monitoring device, an analysis and control device, a display device, and an intelligent early warning device; The intelligent early warning device includes an automatic alarm, which is electrically connected to the analysis and control device. When the analysis and control device analyzes that the meter body temperature, meter body humidity, and meter voltage of the electric energy meter exceed the preset safety data range, and only one data exceeds the preset data, the automatic alarm sounds an alarm to remind the operating power maintenance worker to conduct a safety inspection; the intelligent early warning device also includes an ESAM module of the electric energy meter and an electricity safety monitoring module. The intelligent early warning module is used to locate the abnormal position of the electric energy meter according to the generated safety early warning instruction and generate corresponding safety early warning information; the ESAM module of the electric energy meter is a security access module in the electric energy meter, which is mainly used to realize data protection and security access control. It has a hardware password function, which can protect sensitive data in the electric energy meter from illegal access and tampering, and improve the safety and reliability of the electric energy meter. The ESAM module is generally composed of an MCU, a Flash memory, an encryption algorithm, and a protection function module; The ‌electrical safety monitoring module‌ is a smart electrical safety monitoring module with a rapid early warning platform. It is mainly used to ensure the safe operation of electrical equipment and circuit systems and prevent various safety accidents caused by electrical failures. The ‌electrical safety monitoring module integrates advanced detection, control and protection functions to ensure the safety of personnel and the integrity of equipment in the electrical environment. The intelligent warning module locates the abnormal position of the electric meter according to the generated safety warning instruction and generates corresponding safety warning information, including mapping the abnormal point to the corresponding node in the virtual model of the electric meter, marking the operating status of the corresponding node as abnormal, obtaining the monitoring node associated with the virtual node in the abnormal state, marking the line related to the monitoring node as abnormal, summarizing the virtual nodes in the abnormal state and the lines marked as abnormal, generating corresponding safety warning information, and sending the generated safety warning information to the monitoring center.

[0021] The data collection and monitoring device includes a temperature detection module, a humidity detection module, a voltage detection module and a camera. The data collection and monitoring device is used to detect and record the environmental information of the electric energy meter, and at the same time send the data information collected by the electric energy meter to the analysis and control device; the temperature and humidity detection modules are respectively connected to the electric energy meter equipment to receive the temperature and humidity data information of the electric energy meter; the voltage detection module is installed and connected to the electric energy meter equipment to receive the voltage data information in real time; the data collection and monitoring device also includes a leakage protector, which is used to determine whether there is leakage in the electric energy meter and the electric energy meter circuit by measuring the difference in current. When the current difference exceeds the set threshold, it will automatically cut off the power supply to protect the safety of the electric energy meter equipment.

[0022] The analysis and control device includes a microcontroller, a wireless module and a control terminal; the microcontroller connection end is connected to a temperature detection module, a humidity detection module, a voltage detection module, a camera and a leakage protector, and the wireless module connection end is connected to the control terminal; the wireless module is used to connect the microcontroller to the control terminal through a wireless network, and the microcontroller is used to receive and analyze information detected by the temperature detection module, the humidity detection module, the voltage detection module, the camera and the leakage protector; the information received by the microcontroller is converted into a digital signal, and finally the integrated information is transmitted to the control terminal through the wireless module, and the control terminal is connected to the intelligent early warning device; The analysis and control device is electrically connected to the display device. When the analysis and control device receives the information from the collection and monitoring device, it will conduct a comprehensive analysis on the received information and display the analysis results through the display device. The analysis and control device includes a controller, which is used to receive various data information sent by the temperature detection module, the humidity detection module, the voltage detection module and the camera, and analyze the data information, convert the received information into a digital signal, and finally transmit the integrated information to the control terminal through the wireless module. The control terminal is connected to the intelligent early warning device, and the control terminal is connected to the display device. The analysis and control device is used to process the collected meter operation data to obtain the meter safety assessment coefficient. The analysis and control device is used to analyze the meter operation status according to the obtained meter safety assessment coefficient, and determine whether the meter is abnormal according to the analysis result. If there is an abnormality, a safety early warning instruction is generated.

[0023] The display device includes a screen display device, which is used to display data of relevant environmental information collected by the collection monitoring device. The screen display device includes a left screen and a right screen; the left screen and the right screen are arranged on the left and right sides of the electric energy meter component, and are used to facilitate the detection workers to observe the surrounding images of the machine room captured by the camera in real time indoors, and transmit the images to the display device, so that the power maintenance workers can observe the surrounding environment of the electric energy meter at any time, and further assist the workers to understand the surrounding environment of the electric energy meter; when the camera captures a dangerous situation around the electric energy meter, the power maintenance workers can conduct a safety inspection of the electric energy meter.

[0024] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

Claims

1. The intelligent early warning system of electric energy meter based on big data analysis is characterized by: include: Collection monitoring device, analysis and control device, display device, intelligent early warning device; The intelligent early warning device includes an automatic alarm, which is electrically connected to the analysis and control device. When the analysis and control device analyzes that the meter body temperature, meter body humidity, and meter voltage of the electric energy meter exceed the preset safety data range, and only one of the data exceeds the preset data, the automatic alarm sounds an alarm to remind the operating power maintenance worker to perform a safety inspection; The intelligent early warning device also includes an ESAM module of the electric energy meter and an electric power safety monitoring module. The intelligent early warning module is used to locate the abnormal position of the electric energy meter according to the generated safety early warning instruction and generate corresponding safety early warning information; The ESAM module of the electric energy meter is a security access module in the electric energy meter, which is mainly used to realize data protection and security access control. It has a hardware password function, which can protect the sensitive data in the electric energy meter from illegal access and tampering, and improve the safety and reliability of the electric energy meter. The ESAM module is generally composed of MCU, Flash memory, encryption algorithm and protection function module; The intelligent warning module locates the abnormal position of the electric meter according to the generated safety warning instruction, and generates corresponding safety warning information, including mapping the abnormal point to the corresponding node in the virtual model of the electric meter, marking the operation state of the corresponding node as an abnormal state, obtaining the monitoring node associated with the virtual node in the abnormal state, and marking the line related to the monitoring node as abnormal, aggregating the virtual node in the abnormal state and the line marked as abnormal, generating corresponding safety warning information, and sending the generated safety warning information to the monitoring center; The acquisition monitoring device includes a temperature detection module, a humidity detection module, a voltage detection module and a camera. The acquisition monitoring device is used to detect and record the environmental information of the electric energy meter, and at the same time send the data information collected by the electric meter to the analysis and control device; the temperature and humidity detection modules are respectively connected to the electric energy meter equipment to receive the temperature and humidity data information of the electric energy meter; the voltage detection module is installed and connected to the electric energy meter equipment to receive the voltage data information in real time; the acquisition monitoring device also includes a leakage protector, which is used to determine whether there is leakage in the electric energy meter and the electric energy meter circuit by measuring the difference in current. When the current difference exceeds the set threshold, it will automatically cut off the power supply to protect the safety of the electric energy meter equipment; The analysis and control device is electrically connected to the display device. When the analysis and control device receives information from the collection and monitoring device, it comprehensively analyzes the received information and displays the analysis results through the display device. The analysis and control device includes a controller, which is used to receive various data information sent by the temperature detection module, the humidity detection module, the voltage detection module and the camera, and analyze the data information, convert the received information into a digital signal, and finally transmit the integrated information to the control terminal through the wireless module. The control terminal is connected to the intelligent early warning device, and the control terminal is connected to the display device.

2. The electric energy meter intelligent early warning system based on big data analysis according to claim 1 is characterized in that: The analysis and control device is used to process the collected meter operation data to obtain the meter safety assessment coefficient. The analysis and control device is used to analyze the meter operation status according to the obtained meter safety assessment coefficient, and determine whether the meter has any abnormality according to the analysis result. If there is any abnormality, a safety warning instruction is generated.

3. The electric energy meter intelligent early warning system based on big data analysis according to claim 2 is characterized in that: The display device includes a screen display device, and the screen display device is used to display data collected by the collection and monitoring device related to the environmental information.

4. The electric energy meter intelligent early warning system based on big data analysis according to claim 3 is characterized by: The screen display device includes a left screen and a right screen; the left screen and the right screen are arranged on the left and right sides of the electric energy meter component, and are used to facilitate the detection workers to observe the surrounding images of the machine room captured by the camera in real time indoors, and transmit the images to the display device, so that the power maintenance workers can observe the surrounding environment of the electric energy meter at any time, and further assist the workers to understand the surrounding environment of the electric energy meter; when the camera captures a dangerous situation around the electric energy meter, the power maintenance workers can conduct a safety inspection of the electric energy meter.

5. The electric energy meter intelligent early warning system based on big data analysis according to claim 4 is characterized in that: The electricity safety monitoring module is an intelligent electricity safety monitoring module with a rapid early warning platform, which is mainly used to ensure the safe operation of electrical equipment and circuit systems and prevent various safety accidents caused by electrical failures. The electricity safety monitoring module integrates advanced detection, control and protection functions to ensure the safety of personnel and equipment integrity in the electricity environment.

6. The electric energy meter intelligent early warning system based on big data analysis according to claim 5 is characterized by: The analysis and control device includes a microcontroller, a wireless module and a control terminal; the microcontroller connection end is connected to a temperature detection module, a humidity detection module, a voltage detection module, a camera and a leakage protector, and the wireless module connection end is connected to the control terminal.

7. The electric energy meter intelligent early warning system based on big data analysis according to claim 6 is characterized by: The wireless module is used to connect the microcontroller to the control terminal via a wireless network, and the microcontroller is used to receive and analyze the information detected by the temperature detection module, humidity detection module, voltage detection module, camera and leakage protector.

8. The electric energy meter intelligent early warning system based on big data analysis according to claim 7 is characterized in that: The information received by the microcontroller is converted into a digital signal, and finally the integrated information is transmitted to the control terminal through the wireless module, and the control terminal is connected to the intelligent early warning device.

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