GIS power distribution device monitoring system based on Internet of Things

Abstract

The invention discloses a GIS power distribution device monitoring system based on the Internet of Things, and the system collects the operation data of a power distribution device in real time through a sensor, such as a current sensor, a voltage sensor, and a temperature sensor, and an intelligent device, such as an intelligent electric meter, and a switch, and transmits the data to a cloud platform or a local server through the wireless communication technology, such as LoRa, NB-IoT, and 5G. The system is used for collecting data, storing, processing and analyzing the collected data, including data cleaning, data integration, anomaly detection and the like, providing a user interface, displaying the real-time state and historical data of the power distribution device, and supporting the functions of monitoring, alarming and report generation. The GIS platform is used for visually displaying the geographic positions of the power distribution devices, a user can visually check the operation states of the power distribution devices on a map, load distribution, fault positioning and influence ranges of a power distribution network are analyzed through the GIS, support is provided for operation and maintenance decision making, the GIS can help manage space information of the power distribution devices, and the operation and maintenance efficiency is improved. Comprising equipment maintenance records and maintenance plans.

Description

Technical Field

[0001] The present invention relates to the technical field of dental comprehensive treatment machines, and in particular to a monitoring system for a power distribution device based on the Internet of Things (GIS). Background Art

[0002] The construction of a distribution device monitoring system usually needs to be combined with modern information technology, such as the Internet of Things, cloud computing, and big data analysis, to achieve more intelligent and automated management. GIS distribution device is a high-voltage distribution equipment that uses insulating gas (usually sulfur hexafluoride, SF6) as an insulating medium and arc-extinguishing medium. Compared with traditional air-insulated switchgear, GIS has the advantages of small footprint, easy maintenance, and high reliability. With the advancement of science and technology, GIS distribution devices are also constantly developing in terms of intelligence and digitization. In the future, more monitoring and control technologies may be integrated to improve the intelligence level and operating efficiency of the equipment.

[0003] Although traditional manual inspections can directly inspect GIS power distribution devices, they are unable to detect and discover existing problems and hidden dangers in real time in actual practice, resulting in a high level of safety hazards. In addition, the frequency of inspections is limited by the number of inspections by patrol personnel, resulting in a waste of human resources in practice. The security of all data cannot be well guaranteed. At the same time, faults are not handled in a timely manner, and the performance of the equipment cannot be evaluated in a timely manner, resulting in the inability to reasonably formulate a reasonable maintenance plan. Therefore, the above problems need to be solved. Summary of the invention

[0004] Based on the technical problems existing in the background technology, the present invention proposes a monitoring system for power distribution devices based on the Internet of Things GIS.

[0005] The Internet of Things GIS power distribution device monitoring system proposed by the present invention comprises the following steps: Data collection layer: collects the operation data of the power distribution device in real time through sensors such as current, voltage, and temperature sensors, and smart devices such as smart meters and switches; Data transmission layer: wireless communication technologies such as LoRa, NB-IoT, and 5G are used to transmit data to the cloud platform or local server; Data processing layer: stores, processes and analyzes the collected data, including data cleaning, data integration and anomaly detection, ensures data accuracy and consistency, and standardizes data formats, such as date format, numerical units, etc. Data display layer: provides a user interface to display the real-time status and historical data of the distribution device, supports monitoring, alarm, and report generation functions, and understands the basic characteristics of the data through data visualization and statistical analysis, including distribution, trend, correlation, etc., and uses charts such as histograms, scatter plots, box plots, etc. to help identify patterns and anomalies in the data.

[0006] Preferably, geographic information display: Use the GIS platform to visualize the geographic location of the distribution device, and view the operating status of each distribution device through the visualization. The data may include vector data and raster data, and the coordinate system of the data must be consistent; Spatial analysis: Analyze the load distribution, fault location and impact range of the distribution network through GIS to provide support for operation and maintenance decisions; Asset management: Analyze and manage the spatial information of distribution equipment through GIS, including equipment maintenance records and inspection plans.

[0007] 3. Further, real-time monitoring: real-time monitoring of electrical parameters and environmental parameters of the power distribution device, timely detection of abnormal conditions, and display of analysis results in the form of maps, including thematic maps, heat maps, three-dimensional maps, etc.; Fault warning: Use data analysis and machine learning technology to predict equipment failures, issue warnings in advance, and reduce power outage time; Intelligent dispatching: Optimize the dispatching of distribution networks and improve power supply reliability based on real-time data and GIS information; Data analysis: Evaluate equipment performance and develop reasonable maintenance plans through historical data analysis.

[0008] Preferably, data encryption: ensure that encryption measures are taken to protect data security during data transmission and storage; Access control: Set up user permission management to ensure that only authorized users can access sensitive information.

[0009] Further, demand analysis: clarify system requirements, determine monitoring objects and functions; equipment selection: select sensors, communication modules and GIS platforms; system development: conduct system design and development, including software and hardware integration; testing and deployment: test the system to ensure that all functions are normal before deployment; training and maintenance: train operators to ensure that they can use the system proficiently and perform system maintenance regularly.

[0010] The beneficial effects of the present invention are: 1. Use the GIS platform to visualize the geographical location of the distribution device. Users can intuitively view the operating status of each distribution device on the map. GIS can be used to analyze the load distribution, fault location and impact range of the distribution network to provide support for operation and maintenance decisions. GIS can help manage the spatial information of the distribution device, including equipment maintenance records and inspection plans.

[0011] 2. Ensure that encryption measures are taken to protect data security during data transmission and storage, and set up user authority management to ensure that only authorized users can access sensitive information.

[0012] 3. Use data analysis and machine learning technology to predict equipment failures, issue early warnings, reduce power outages, optimize the scheduling of distribution networks based on real-time data and GIS information, improve power supply reliability, evaluate equipment performance through historical data analysis, and develop reasonable maintenance plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a data processing flow chart of the Internet of Things GIS power distribution device monitoring system proposed by the present invention; Figure 2 This is a data display flow chart of the Internet of Things GIS power distribution device monitoring system proposed by the present invention; Figure 3 This is a structural diagram of the monitoring system based on the Internet of Things GIS distribution device monitoring system proposed by the present invention. DETAILED DESCRIPTION

[0014] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0015] Reference Figure 1 , based on the Internet of Things GIS distribution device monitoring system, including the following steps: Data collection layer: collects the operation data of the power distribution device in real time through sensors such as current, voltage, and temperature sensors, and smart devices such as smart meters and switches; Data transmission layer: wireless communication technologies such as LoRa, NB-IoT, and 5G are used to transmit data to the cloud platform or local server; Data processing layer: stores, processes and analyzes the collected data, including data cleaning, data integration and anomaly detection, ensures data accuracy and consistency, and standardizes data formats, such as date format, numerical units, etc. Data display layer: provides a user interface to display the real-time status and historical data of the distribution device, supports monitoring, alarm, and report generation functions, and understands the basic characteristics of the data through data visualization and statistical analysis, including distribution, trend, correlation, etc., and uses charts such as histograms, scatter plots, box plots, etc. to help identify patterns and anomalies in the data.

[0016] Reference Figure 2 , Geographic information display: Use the GIS platform to visualize the geographical location of the distribution device, and view the operating status of each distribution device through visualization; Spatial analysis: GIS is used to analyze the load distribution, fault location, and impact range of the distribution network to provide support for operation and maintenance decisions. The data can include vector data and raster data, and the coordinate system of the data must be consistent; Asset management: Analyze and manage the spatial information of distribution equipment through GIS, including equipment maintenance records and inspection plans.

[0017] Reference Figure 3 ,Real-time monitoring: Real-time monitoring of electrical parameters and environmental parameters of the power distribution device, timely detection of abnormal conditions, and display of analysis results in the form of maps, including theme maps, heat maps, three-dimensional maps, etc.; Fault warning: Use data analysis and machine learning technology to predict equipment failures, issue warnings in advance, and reduce power outage time; Intelligent dispatching: Optimize the dispatching of distribution networks and improve power supply reliability based on real-time data and GIS information; Data analysis: Evaluate equipment performance and develop reasonable maintenance plans through historical data analysis.

[0018] Data encryption: Ensure that encryption measures are taken to protect data security during data transmission and storage; Access control: Set up user permission management to ensure that only authorized users can access sensitive information.

[0019] Further, demand analysis: clarify system requirements, determine monitoring objects and functions; equipment selection: select sensors, communication modules and GIS platforms; system development: conduct system design and development, including software and hardware integration; testing and deployment: test the system to ensure that all functions are normal before deployment; training and maintenance: train operators to ensure that they can use the system proficiently and perform system maintenance regularly.

[0020] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. Based on the Internet of Things GIS distribution device monitoring system, it is characterized by: The following steps are involved: S1: Data Collection Layer Collect the operation data of power distribution equipment in real time through sensors and smart devices; S2: Data transmission layer Use wireless communication technology to transmit data to the cloud platform or local server; S3: Data Processing Layer Store, process and analyze the collected data, including data cleaning, data integration and anomaly detection; S4: Data presentation layer Provides a user interface to display the real-time status and historical data of the distribution device, and supports monitoring, alarm, and report generation functions.

2. The monitoring system for power distribution device based on Internet of Things GIS according to claim 1 is characterized in that: include: S1: Geographic Information Display Use the GIS platform to visualize the geographical location of the distribution device and check the operating status of each distribution device through visualization; S2: Spatial Analysis Analyze the load distribution, fault location and impact range of the distribution network through GIS to provide support for operation and maintenance decisions; S3: Asset Management GIS is used to analyze and manage the spatial information of power distribution equipment, including equipment maintenance records and inspection plans.

3. The monitoring system for power distribution device based on Internet of Things GIS according to claim 1 is characterized in that: include: S1: Real-time monitoring Monitor the electrical parameters and environmental parameters of the power distribution device in real time to detect abnormal conditions in a timely manner; S2: Fault warning Use data analysis and machine learning technology to predict equipment failures, issue early warnings, and reduce power outage time; S3: Intelligent Scheduling Optimize the dispatch of distribution networks and improve power supply reliability based on real-time data and GIS information; S4: Data Analysis Evaluate equipment performance and develop a reasonable maintenance plan through historical data analysis.

4. The monitoring system for power distribution device based on Internet of Things GIS according to claim 1 is characterized in that: include: S1: Data encryption By taking encryption measures during data transmission and storage, data security is protected; S2: Access Control Set up user rights management to ensure that only authorized users can access sensitive information.

5. The monitoring system for power distribution device based on Internet of Things GIS according to claim 1 is characterized in that: include: S1: Demand Analysis Clarify system requirements and determine monitoring objects and functions; S2: Equipment selection Select sensors, communication modules and GIS platforms; S3: System Development Conduct system design and development, including software and hardware integration; S4: Testing and Deployment Test the system to ensure that all functions are normal before deployment.

Images