Switch cabinet monitoring system based on three-dimensional visualization

Abstract

The invention discloses a switch cabinet monitoring system based on three-dimensional visualization, and aims to solve the technical problems that a current switch cabinet monitoring system is relatively slow in speed and relatively low in accuracy when detecting a switch cabinet, and cannot recognize and diagnose faults in the switch cabinet in time. The general monitoring system comprises a three-dimensional scanning detection robot system, an Internet of Things system, a cloud computing system and a big data analysis system. According to the invention, rapid detection of the switch cabinet can be realized, the intelligent degree of detection can be improved by combining the two-dimensional code technology, the whole monitoring process is more efficient and accurate, the mechanical performance of the switch cabinet can be known in time, early fault identification and automatic diagnosis of the switch cabinet can be realized, and the detection efficiency is improved. The efficiency and the accuracy of fault diagnosis are improved, and the stability and the safety of a power system are greatly enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of switch cabinet monitoring systems, and in particular to a switch cabinet monitoring system based on three-dimensional visualization. Background Art

[0002] Switchgear is a kind of electrical equipment that opens, closes, controls and protects electrical equipment in the process of power generation, transmission, distribution and energy conversion in the power system. Switchgear is an important electrical equipment in the power system, and its safe and stable operation is crucial to the reliability of the entire system. Therefore, the monitoring of switchgear is an important part of the stability maintenance of the power system. During the operation and maintenance process, a series of operating procedures and precautions must be strictly observed to ensure the normal operation of the equipment and prevent accidents. The operation and maintenance of the switchgear requires attention to operational safety, regular inspections, fault handling, environmental control and record management.

[0003] In the process of realizing the invention, the inventor found that there are at least the following problems in the prior art that have not been solved: during use, the traditional switch cabinet monitoring system has a relatively slow speed and low accuracy in detecting the switch cabinet, and cannot timely identify and diagnose the faults in the switch cabinet, thereby reducing the efficiency, accuracy, stability and safety of fault diagnosis. Therefore, it is necessary to design a new technical solution to solve it. Summary of the invention

[0004] The purpose of the present invention is to provide a switch cabinet monitoring system based on three-dimensional visualization to solve the technical problems that the current switch cabinet monitoring system has a slow speed and low accuracy in switch cabinet detection and cannot timely identify and diagnose faults in the switch cabinet.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: a switch cabinet monitoring system based on three-dimensional visualization, wherein the overall monitoring system includes a three-dimensional scanning detection robot system, an Internet of Things system, a cloud computing system and a big data analysis system:

[0006] 3D scanning detection robot system: Use the control center, recognition device, industrial robot, 3D laser scanner, 3D scanning target rod and four-degree-of-freedom mobile platform to establish a 3D visualization model for complex scenes inside the switch cabinet;

[0007] Internet of Things system: Comprehensive monitoring of the operating status of the switch cabinet through the line monitoring and early warning module, temperature detection module, partial discharge status detection module and remote monitoring module;

[0008] Cloud computing system: Through the Internet of Things system, sensors are used to obtain real-time data of the mechanisms and mechanisms inside the switch cabinet, and remote monitoring and control of various mechanical quantities of the switch cabinet are realized, thereby monitoring the switch cabinet;

[0009] Big data analysis system: Through the data acquisition and storage unit, cleaning and preprocessing unit, data mining unit, feature extraction unit, anomaly detection unit and trend analysis unit, the collected massive data are analyzed and processed to predict the risk of mechanical failure.

[0010] As a preferred implementation mode of the present invention, the control center is responsible for the coordination and control of the entire system, quickly locates the switch cabinet according to the switch cabinet size information in the QR code, and automatically generates a detection plan.

[0011] As a preferred embodiment of the present invention, the identification device includes a camera for scanning a QR code on the surface of the switch cabinet, and quickly obtaining the type and size information of the switch cabinet through the QR code to provide basic data for subsequent detection.

[0012] As a preferred embodiment of the present invention, the three-dimensional laser scanner is installed on the operating end of the industrial robot, and the industrial robot realizes horizontal, vertical and horizontal rotational movement through a four-degree-of-freedom mobile platform to perform multi-angle and all-round scanning of the switch cabinet.

[0013] As a preferred embodiment of the present invention, the establishment of the three-dimensional visualization model mainly includes using professional three-dimensional modeling software, utilizing a cloud platform, and DIY design through a macro file:

[0014] First, use professional 3D modeling software to build switch cabinet scenes and high-quality models;

[0015] Secondly, users use the model library provided by the cloud platform to quickly create switch cabinet layout diagrams through drag-and-drop operations, and export switch cabinet diagrams with various display effects;

[0016] Finally, for devices that do not have ready-made 3D image macro files, you can manage and create 3D macro files through macro projects, then use software to import components (such as step file format), and then define and logically set them in the software to finally generate macro files.

[0017] As a preferred implementation manner of the present invention, the three-dimensional modeling software is specifically one or more of AutoCAD, SolidWorks and Blender.

[0018] As a preferred implementation of the present invention, the cloud platform is specifically the nVisual cloud platform.

[0019] As a preferred embodiment of the present invention, the comprehensive monitoring of the switch cabinet operation status is performed by the line monitoring and early warning module, the temperature detection module, the partial discharge state detection module and the remote monitoring module;

[0020] Online monitoring and early warning module: Through the Internet of Things technology, the operating status of power equipment is monitored in real time to detect equipment failures in a timely manner;

[0021] Temperature detection module: monitors the temperature of the switch cabinet, determines whether the branch is disturbed by receiving the temperature data uploaded by the communication node, and ensures the accuracy and timeliness of the data. If the temperature data is not received within the predetermined time, the system will take corresponding measures, such as switching to communicate with the next branch, to ensure the integrity and reliability of the data;

[0022] Partial discharge status detection module: The IoT system is used to detect and analyze partial discharge phenomena such as internal discharge and surface discharge in switch cabinets. By monitoring partial discharge phenomena, problems in the insulating medium can be discovered in time to avoid potential safety hazards.

[0023] Remote monitoring module: Use IoT cards to achieve remote monitoring and control of smart distribution cabinets.

[0024] As a preferred embodiment of the present invention, the sensor is used to obtain real-time data of the mechanism and mechanism running inside the switch cabinet. The sensor is a wireless temperature sensor and is installed at the measured point. The temperature value is obtained in a contact manner and converted into a digital signal, which is wirelessly sent to the temperature display instrument.

[0025] The display instrument can be installed in the switch cabinet instrument room or indoor wall to receive and display data, and transmit the data to the background host through RS-485 network or Ethernet network;

[0026] Install system analysis software on the host to achieve more online monitoring functions;

[0027] The monitoring scope of online monitoring specifically includes: removable switchgear trolley corner heads, fixed switchgear isolating switch contacts, busbars, cable connections, as well as reactor windings and dry-type transformer high-voltage windings.

[0028] As a preferred embodiment of the present invention, the data acquisition and storage unit: monitors and records the operating status, temperature, current and voltage parameters of the switch cabinet in real time by installing sensors on the switch cabinet equipment, and stores these data in a data center or cloud;

[0029] Cleaning and preprocessing unit: ensure the quality and accuracy of monitoring data, remove noise and outliers;

[0030] Data mining unit: explore the associations and patterns behind monitoring data, and discover hidden information and new knowledge;

[0031] Feature extraction unit: converts raw monitoring data into feature vectors that can be processed by machine learning algorithms through statistical methods, information theory methods and model learning;

[0032] Abnormal detection unit and trend analysis unit: timely discover possible problems and hidden dangers in the switch cabinet so as to take appropriate maintenance and repair measures.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The present invention can not only realize rapid detection of switch cabinets, but also improve the intelligence of detection by combining QR code technology, making the entire monitoring process more efficient and accurate, and can timely understand its mechanical properties, realize early identification and automatic diagnosis of switch cabinet faults, which not only improves the efficiency and accuracy of fault diagnosis, but also greatly enhances the stability and safety of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0036] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0037] 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.

[0038] Example 1: Switchgear monitoring system based on 3D visualization, see Figure 1 The overall monitoring system includes a 3D scanning detection robot system, an Internet of Things system, a cloud computing system, and a big data analysis system:

[0039] 3D scanning detection robot system: Use the control center, recognition device, industrial robot, 3D laser scanner, 3D scanning target rod and four-degree-of-freedom mobile platform to establish a 3D visualization model for complex scenes inside the switch cabinet;

[0040] Internet of Things system: Comprehensive monitoring of the operating status of the switch cabinet through the line monitoring and early warning module, temperature detection module, partial discharge status detection module and remote monitoring module;

[0041] Cloud computing system: Through the Internet of Things system, sensors are used to obtain real-time data of the mechanisms and mechanisms inside the switch cabinet, and remote monitoring and control of various mechanical quantities of the switch cabinet are realized, thereby monitoring the switch cabinet;

[0042] Big data analysis system: Through the data acquisition and storage unit, cleaning and preprocessing unit, data mining unit, feature extraction unit, anomaly detection unit and trend analysis unit, the collected massive data are analyzed and processed to predict the risk of mechanical failure.

[0043] Specifically, the identification device includes a camera for scanning a QR code on the surface of the switch cabinet, and quickly obtaining the type and size information of the switch cabinet through the QR code to provide basic data for subsequent detection;

[0044] The control center is responsible for the coordination and control of the entire system. It can quickly locate the switch cabinet according to the switch cabinet size information in the QR code and automatically generate a detection plan.

[0045] The 3D laser scanner is installed on the operating end of the industrial robot. The industrial robot realizes horizontal, vertical and horizontal rotational movement through a four-degree-of-freedom mobile platform to perform multi-angle and all-round scanning of the switch cabinet.

[0046] Furthermore, the establishment of 3D visualization models mainly includes the use of professional 3D modeling software, the use of cloud platforms, and DIY design through macro files:

[0047] First, use professional 3D modeling software to build switch cabinet scenes and high-quality models;

[0048] Secondly, users use the model library provided by the cloud platform to quickly create switch cabinet layout diagrams through drag-and-drop operations, and export switch cabinet diagrams with various display effects;

[0049] Finally, for devices that do not have ready-made 3D image macro files, you can manage and create 3D macro files through macro projects, then use software to import components (such as step file format), and then define and logically set them in the software to finally generate macro files.

[0050] It is worth noting that the 3D modeling software is specifically one or more of AutoCAD, SolidWorks and Blender, and the cloud platform is specifically the nVisual cloud platform.

[0051] It is worth noting that the switch cabinet operation status is fully monitored through the line monitoring and early warning module, temperature detection module, partial discharge status detection module and remote monitoring module;

[0052] Online monitoring and early warning module: Through the Internet of Things technology, the operating status of power equipment is monitored in real time to detect equipment failures in a timely manner;

[0053] Temperature detection module: monitors the temperature of the switch cabinet, determines whether the branch is disturbed by receiving the temperature data uploaded by the communication node, and ensures the accuracy and timeliness of the data. If the temperature data is not received within the predetermined time, the system will take corresponding measures, such as switching to communicate with the next branch, to ensure the integrity and reliability of the data;

[0054] Partial discharge status detection module: The IoT system is used to detect and analyze partial discharge phenomena such as internal discharge and surface discharge in switch cabinets. By monitoring partial discharge phenomena, problems in the insulating medium can be discovered in time to avoid potential safety hazards.

[0055] Remote monitoring module: Use IoT cards to achieve remote monitoring and control of smart distribution cabinets.

[0056] It is worth mentioning that the sensor is used to obtain the real-time data of the mechanism and mechanism running inside the switch cabinet. The sensor is a wireless temperature sensor and is installed at the measured point. The temperature value is obtained in a contact manner and converted into a digital signal, which is wirelessly sent to the temperature display instrument.

[0057] The display instrument can be installed in the switch cabinet instrument room or indoor wall to receive and display data, and transmit the data to the background host through RS-485 network or Ethernet network;

[0058] Install system analysis software on the host to achieve more online monitoring functions;

[0059] The monitoring scope of online monitoring specifically includes: removable switchgear trolley corner heads, fixed switchgear isolating switch contacts, busbars, cable connections, as well as reactor windings and dry-type transformer high-voltage windings.

[0060] It is worth emphasizing that the data acquisition and storage unit: by installing sensors on the switch cabinet equipment, the operating status, temperature, current and voltage parameters of the switch cabinet are monitored and recorded in real time, and these data are stored in the data center or cloud;

[0061] Cleaning and preprocessing unit: ensure the quality and accuracy of monitoring data, remove noise and outliers;

[0062] Data mining unit: explore the associations and patterns behind monitoring data, and discover hidden information and new knowledge;

[0063] Feature extraction unit: converts raw monitoring data into feature vectors that can be processed by machine learning algorithms through statistical methods, information theory methods and model learning;

[0064] Abnormal detection unit and trend analysis unit: timely discover possible problems and hidden dangers in the switch cabinet so as to take appropriate maintenance and repair measures.

[0065] In summary, the present invention can not only realize the rapid detection of switch cabinets, but also improve the intelligence of detection by combining QR code technology, making the entire monitoring process more efficient and accurate, and can timely understand its mechanical properties, and realize early identification and automatic diagnosis of switch cabinet faults, which not only improves the efficiency and accuracy of fault diagnosis, but also greatly enhances the stability and safety of the power system.

[0066] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0067] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A switch cabinet monitoring system based on three-dimensional visualization, including a master monitoring system, characterized in that: The overall monitoring system includes a three-dimensional scanning detection robot system, an Internet of Things system, a cloud computing system and a big data analysis system: 3D scanning detection robot system: Use the control center, recognition device, industrial robot, 3D laser scanner, 3D scanning target rod and four-degree-of-freedom mobile platform to establish a 3D visualization model for complex scenes inside the switch cabinet; Internet of Things system: Comprehensive monitoring of the operating status of the switch cabinet through the online monitoring and early warning module, temperature detection module, partial discharge status detection module and remote monitoring module; Cloud computing system: Through the Internet of Things system, sensors are used to obtain real-time data of the mechanisms and mechanisms inside the switch cabinet, and remote monitoring and control of various mechanical quantities of the switch cabinet are realized, thereby monitoring the switch cabinet; Big data analysis system: Through the data acquisition and storage unit, cleaning and preprocessing unit, data mining unit, feature extraction unit, anomaly detection unit and trend analysis unit, the collected massive data are analyzed and processed to predict the risk of mechanical failure.

2. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The control center is responsible for the coordination and control of the entire system. It quickly locates the switch cabinet according to the switch cabinet size information in the QR code and automatically generates a detection plan.

3. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The identification device includes a camera, which is used to scan the QR code on the surface of the switch cabinet, and quickly obtain the type and size information of the switch cabinet through the QR code to provide basic data for subsequent detection.

4. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The three-dimensional laser scanner is installed on the operating end of the industrial robot. The industrial robot realizes horizontal, vertical and horizontal rotation movement through a four-degree-of-freedom mobile platform to perform multi-angle and all-round scanning of the switch cabinet.

5. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The establishment of the three-dimensional visualization model mainly includes the use of professional three-dimensional modeling software, the use of cloud platforms, and DIY design through macro files: First, use professional 3D modeling software to build switch cabinet scenes and high-quality models; Secondly, users use the model library provided by the cloud platform to quickly create switch cabinet layout diagrams through drag-and-drop operations, and export switch cabinet diagrams with various display effects; Finally, for devices that do not have ready-made 3D image macro files, you can manage and create 3D macro files through macro projects, then use software to import components (such as step file format), and then define and logically set them in the software to finally generate macro files.

6. The switch cabinet monitoring system based on three-dimensional visualization according to claim 5 is characterized in that: The three-dimensional modeling software is specifically one or more of AutoCAD, SolidWorks and Blender.

7. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The cloud platform is specifically the nVisual cloud platform.

8. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The comprehensive monitoring of the switch cabinet operation status by the line monitoring and early warning module, temperature detection module, partial discharge status detection module and remote monitoring module; Online monitoring and early warning module: Through the Internet of Things technology, the operating status of power equipment is monitored in real time to detect equipment failures in a timely manner; Temperature detection module: monitors the temperature of the switch cabinet, determines whether the branch is disturbed by receiving the temperature data uploaded by the communication node, and ensures the accuracy and timeliness of the data. If the temperature data is not received within the predetermined time, the system will take corresponding measures, such as switching to communicate with the next branch, to ensure the integrity and reliability of the data; Partial discharge status detection module: The IoT system is used to detect and analyze partial discharge phenomena such as internal discharge and surface discharge in switch cabinets. By monitoring partial discharge phenomena, problems in the insulating medium can be discovered in time to avoid potential safety hazards. Remote monitoring module: Use IoT cards to achieve remote monitoring and control of smart distribution cabinets.

9. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1 is characterized in that: The sensor is used to obtain real-time data of the mechanism and mechanism running inside the switch cabinet. The sensor is a wireless temperature sensor and is installed at the measured point. The temperature value is obtained in a contact manner and converted into a digital signal, which is wirelessly sent to the temperature display instrument; The display instrument can be installed in the switch cabinet instrument room or indoor wall to receive and display data, and transmit the data to the background host through RS-485 network or Ethernet network; Install system analysis software on the host to achieve more online monitoring functions; The monitoring scope of online monitoring specifically includes: removable switchgear trolley corner heads, fixed switchgear isolating switch contacts, busbars, cable connections, as well as reactor windings and dry-type transformer high-voltage windings.

10. The switch cabinet monitoring system based on three-dimensional visualization according to claim 1, characterized in that: The data acquisition and storage unit: monitors and records the operating status, temperature, current and voltage parameters of the switch cabinet in real time by installing sensors on the switch cabinet equipment, and stores these data in a data center or cloud; Cleaning and preprocessing unit: ensure the quality and accuracy of monitoring data, remove noise and outliers; Data mining unit: explore the associations and patterns behind monitoring data, and discover hidden information and new knowledge; Feature extraction unit: converts raw monitoring data into feature vectors that can be processed by machine learning algorithms through statistical methods, information theory methods and model learning; Abnormal detection unit and trend analysis unit: timely discover possible problems and hidden dangers in the switch cabinet so as to take appropriate maintenance and repair measures.

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