Intelligent monitoring device for cable cabin of switch cabinet and use method of intelligent monitoring device

Abstract

The invention discloses an intelligent monitoring device for a switch cabinet cable cabin and a use method thereof, and belongs to the technical field of intelligent monitoring, the intelligent monitoring device for the switch cabinet cable cabin comprises a main control module, a wireless transmission module, an image acquisition module, an infrared temperature measurement module, a cloud platform, a client, a steering engine, a power supply module, a routing module and a base; the wireless transmission module, the image acquisition module, the infrared temperature measurement module, the steering engine and the power supply module are electrically connected with the main control module; according to the invention, the lightweight model is trained through the abnormal data in the existing cable bin and various abnormal picture data sets generated based on Open AI, so that the device can quickly and accurately identify the abnormities in the cable bin, such as plugging abnormities, condensation in the bin, small animal invasion and the like. According to the invention, through the Internet of Things technology, the equipment identification information is pushed to the operation and maintenance personnel mobile platform in real time, so that abnormity can be notified.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent monitoring, and more specifically, relates to an intelligent monitoring device for a cable compartment of a switch cabinet and a method for using the same. Background Art

[0002] With the development of power grid, the number of substations has increased, and the operation and maintenance of substations has changed from the original manned mode to the unmanned mode. This change makes it impossible for operation and maintenance personnel to conduct routine inspections of all substations in the jurisdiction every day, among which the inspection cycle of 110kV substations is usually once every 14 days.

[0003] According to the substation operation requirements, if critical defects such as abnormal sealing, condensation in the bin, invasion of small animals, and heating of the pile head are encountered, they need to be handled within 24 hours. After searching, the prior art with publication number CN114593826A discloses a switch cabinet cable bin temperature monitoring device, which can only perform remote monitoring on the abnormal heating in the cable bin, and cannot autonomously monitor and judge abnormal sealing, condensation in the bin, invasion of small animals, and remotely notify the operation and maintenance personnel. Summary of the invention

[0004] In order to solve the deficiencies in the prior art, the present invention provides an intelligent monitoring device for the cable bin of a switch cabinet and a method of using the same to solve the technical problem that the prior art is unable to autonomously monitor and evaluate abnormalities such as blocking abnormalities, condensation in the bin, and small animal intrusions, and to remotely notify operation and maintenance personnel.

[0005] The present invention adopts the following technical solution.

[0006] A first aspect of the present invention provides a switch cabinet cable compartment intelligent monitoring device, comprising:

[0007] Main control module, wireless transmission module, image acquisition module, infrared temperature measurement module, cloud platform, client, servo, power module, routing module and base;

[0008] The wireless transmission module, image acquisition module, infrared temperature measurement module, steering gear, and power supply module are all electrically connected to the main control module. The main control module is equipped with an image recognition model based on a deep neural network. The image recognition model is trained by abnormal image data in the cable warehouse. The main control module compares the feature points of the acquired image with the model, analyzes the abnormal type in combination with the infrared temperature measurement data, and sends the abnormal type to the wireless transmission module;

[0009] The wireless transmission module is used to package the abnormal data signal and send it to the routing module;

[0010] The image acquisition module is used to collect the video image data of the switch cabinet cable compartment to the main control module;

[0011] The client is used to enable the user to view historical alarm information in the alarm bar and remotely and manually control the device to view the image in the specified cable warehouse;

[0012] The servo receives the control signal of the main control module through the pin connection slot, and the servo is used to drive the image acquisition module and the infrared temperature measurement module to rotate;

[0013] The power module is used to supply power to the entire device;

[0014] The power module and the steering gear are both arranged on a base;

[0015] The infrared temperature measurement module is used to perform infrared temperature measurement on the three-phase cable pile head;

[0016] The routing module is used to integrate the data of each wireless transmission module and send it to the cloud platform.

[0017] As an improvement, the image recognition model uses the DALL.E model based on OpenAI to generate abnormal pictures, and combines existing abnormal pictures to establish a dedicated data set.

[0018] As an improvement, the wireless transmission module is sent to the routing module in MQTT format, and the wireless transmission module adopts ESP8266 chip.

[0019] As an improvement, the image acquisition module uses the MT9V034 image acquisition module to acquire image information in the cable bin.

[0020] As an improvement, the servo is a double servo structure, which can rotate the image acquisition module.

[0021] As an improvement, the image acquisition module is installed on the main control module through pins.

[0022] As an improvement, an intermediate relay is mounted above the power module, and the control signal of the intermediate relay is led out by the pin of the main control module.

[0023] As an improvement, the infrared temperature measurement module adopts a GY-906 temperature sensor and is installed on the main control module. The infrared temperature measurement module is connected to the main control module through pins.

[0024] As an improvement, the routing module is used to integrate and package the data of each switch interval and send it to the cloud platform via the MQTT protocol.

[0025] A second aspect of the present invention provides a method for using a switch cabinet cable compartment intelligent monitoring device, comprising the following steps:

[0026] Install the device above the cable bin inspection light and connect the power supply of the cable bin inspection light to power the entire device;

[0027] The user can connect the routing device through a computer to configure the data identification nodes of multiple cable bins in the substation, and complete the cloud platform interface connection to upload the data of each cable bin to the cloud platform;

[0028] The user opens the mobile application to view the real-time status of the target cable bin captured by the device;

[0029] Users can access the alarm information page through the mobile application to view the historical alarm information uploaded by the device to the cloud platform.

[0030] Compared with the prior art, the beneficial effects of the present invention include at least:

[0031] 1. The present invention trains a lightweight model through the existing abnormal data in the cable warehouse and various abnormal generation picture data sets generated based on Open AI, so that the device can quickly and accurately identify abnormalities in the cable warehouse such as blocking abnormalities, condensation in the warehouse, and small animal intrusion.

[0032] 2. The present invention will use the Internet of Things technology to push device identification information to the mobile platform of operation and maintenance personnel in real time, so that they can be informed of any abnormalities.

[0033] 3. The present invention has a simple structure, is easy to operate, install and inspect, and can effectively reduce the possibility of not being able to timely discover abnormalities in the cable bin due to a long inspection cycle or omissions in the inspection work, thereby improving the reliability of power supply to the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a schematic diagram of functional modules of a device provided according to an embodiment of the present invention;

[0035] Figure 2 is a schematic diagram of a side view of a device provided according to an embodiment of the present invention;

[0036] 1. Base; 2. Power module; 3. Servo; 4. Wireless transmission module; 5. Pin connection slot; 6. Infrared temperature measurement module; 7. Main control module; 8. Image acquisition module. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0038] like Figure 1-2As shown, embodiment 1 of the present invention provides a switch cabinet cable warehouse intelligent monitoring device, including a main control module 7, a wireless transmission module 4, an image acquisition module 8, an infrared temperature measurement module 6, a cloud platform, a client, a steering gear 3, a power module 2, a routing module and a base 1. The device is installed above the cable warehouse patrol light as a whole;

[0039] The wireless transmission module 4, the image acquisition module 8, the infrared temperature measurement module 6, the steering gear 3, and the power supply module 2 are all electrically connected to the main control module 7. The main control module 7 is equipped with an image recognition model based on a deep neural network. The image recognition model is trained by abnormal image data in the cable warehouse. The main control module 7 intelligently compares the feature points of the image collected by the image acquisition module 8 with the model, analyzes the abnormal type in combination with the infrared temperature measurement data, and sends the abnormal type to the wireless transmission module 4;

[0040] The wireless transmission module 4 is used to package the abnormal data signal and send it to the routing module;

[0041] The image acquisition module 8 is used to collect the video image data of the switch cabinet cable compartment to the main control module 7;

[0042] The client is used to enable the user to view historical alarm information in the alarm column, and remotely and manually control the device to view the image in the specified cable warehouse to complete the remote inspection work;

[0043] The steering engine 3 receives the control signal of the main control module 7 through the pin connection slot 5, so as to realize autonomous periodic inspection of the cable warehouse. The steering engine 3 is used to drive the image acquisition module 8 and the infrared temperature measurement module 6 to rotate;

[0044] The power supply module 2 is used to supply power to the entire device, and the power supply module 2 adopts a switching power supply;

[0045] The power module 2 and the steering gear 3 are both arranged on the base 1;

[0046] The infrared temperature measurement module 6 is used to perform infrared temperature measurement on the three-phase cable pile head;

[0047] The routing module is used to integrate the data of each wireless transmission module 4 and send it to the cloud platform.

[0048] In a preferred but non-restrictive embodiment of the present invention, since the abnormal image database in the cable warehouse is relatively scarce, the image recognition model uses the DALL.E model based on OpenAI to generate abnormal pictures, so as to achieve the purpose of training and optimizing the abnormal image recognition model, and combines the existing abnormal pictures to establish an exclusive data set. Since the abnormal database of the cable warehouse is mostly collected after the abnormality develops into an accident, taking the abnormality of small animal invasion as an example, when the body of the small animal touches the cable pile head and the switch trips, the operation and maintenance personnel will arrive at the scene to collect accident data, so it is difficult to train the image recognition model in this state. The present invention uses Open AI's DALL.E model to autonomously generate various abnormal pictures, so that the image recognition model can identify the types of abnormalities more comprehensively.

[0049] In a preferred but non-limiting embodiment of the present invention, the wireless transmission module 4 is sent to the routing module in MQTT format, and the wireless transmission module 4 adopts ESP8266 chip.

[0050] In a preferred but non-limiting embodiment of the present invention, the image acquisition module 8 uses the MT9V034 image acquisition module to acquire image information in the cable bin.

[0051] In a preferred but non-limiting embodiment of the present invention, the servo 3 is a double servo structure, which can rotate the image acquisition module to achieve the purpose of acquiring image information of all areas in the cable warehouse.

[0052] In a preferred but non-limiting embodiment of the present invention, the image acquisition module is directly mounted on the main control module 7 via pins.

[0053] In a preferred but non-limiting embodiment of the present invention, the power module 2 draws power from the 220V AC power input line of the patrol light, converts it into 5V DC power through a switching power supply, and supplies power to the entire device. An intermediate relay is installed above the power module 2, and the intermediate relay control signal is led out from pin 7 of the main control module to realize the remote control of the patrol light switch function.

[0054] In a preferred but non-limiting embodiment of the present invention, the infrared temperature measurement module 6 adopts a GY-906 temperature sensor and is installed on the main control module 7, is directly connected through pins, and the rotation angle of the servo 3 is set by a program to realize automatic timing remote infrared temperature measurement of the three-phase cable pile head.

[0055] In a preferred but non-limiting embodiment of the present invention, the routing module integrates and packages the switch interval data and sends it to the cloud platform via the MQTT protocol.

[0056] Embodiment 2 of the present invention provides a method for using a switch cabinet cable compartment intelligent monitoring device, comprising the following steps:

[0057] Install the device above the cable bin inspection light, and connect the 220V AC power supply of the cable bin inspection light through the wiring terminals on the device to power the entire device;

[0058] The user can connect the routing device through a computer to configure the data identification nodes of multiple cable bins in the substation, and complete the cloud platform interface connection to upload the data of each cable bin to the cloud platform;

[0059] The user can open the mobile application and independently select the target cable bin real-time status captured by the device to be viewed;

[0060] Users can access the alarm information page through the mobile application to view the historical alarm information uploaded by the device to the cloud platform.

[0061] Embodiment 3 of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is loaded into the processor, a method for using a switch cabinet cable compartment intelligent monitoring device according to Embodiment 2 is implemented.

[0062] Embodiment 4 of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, a method for using a switch cabinet cable compartment intelligent monitoring device according to Embodiment 2 is implemented.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent monitoring device for a switch cabinet cable compartment, characterized in that: include: Main control module, wireless transmission module, image acquisition module, infrared temperature measurement module, cloud platform, client, servo, power module, routing module and base; The wireless transmission module, image acquisition module, infrared temperature measurement module, steering gear, and power supply module are all electrically connected to the main control module. The main control module is equipped with an image recognition model based on a deep neural network. The image recognition model is trained by abnormal image data in the cable warehouse. The main control module compares the feature points of the acquired image with the model, analyzes the abnormal type in combination with the infrared temperature measurement data, and sends the abnormal type to the wireless transmission module; The wireless transmission module is used to package the abnormal data signal and send it to the routing module; The image acquisition module is used to collect the video image data of the switch cabinet cable compartment to the main control module; The client is used to enable the user to view historical alarm information in the alarm bar and remotely and manually control the device to view the image in the specified cable warehouse; The servo receives the control signal of the main control module through the pin connection slot, and the servo is used to drive the image acquisition module and the infrared temperature measurement module to rotate; The power module is used to supply power to the entire device; The power module and the steering gear are both arranged on a base; The infrared temperature measurement module is used to perform infrared temperature measurement on the three-phase cable pile head; The routing module is used to integrate the data of each wireless transmission module and send it to the cloud platform.

2. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: The image recognition model uses the DALL.E model based on OpenAI to generate abnormal pictures, and combines existing abnormal pictures to establish a dedicated data set.

3. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: The wireless transmission module is sent to the routing module in MQTT format, and the wireless transmission module adopts ESP8266 chip.

4. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: The image acquisition module uses the MT9V034 image acquisition module to collect image information in the cable warehouse.

5. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: The servo is a double servo structure and can rotate the image acquisition module.

6. The switch cabinet cable compartment intelligent monitoring device according to claim 1, characterized in that: The image acquisition module is installed on the main control module through pins.

7. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: An intermediate relay is mounted above the power module, and a control signal of the intermediate relay is led out from a pin of the main control module.

8. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: The infrared temperature measurement module adopts a GY-906 temperature sensor and is installed on the main control module. The infrared temperature measurement module is connected to the main control module through pins.

9. The intelligent monitoring device for a switch cabinet cable compartment according to claim 1, characterized in that: The routing module is used to integrate and package the switch interval data and send it to the cloud platform via the MQTT protocol.

10. A method for using a switch cabinet cable bin intelligent monitoring device, based on the switch cabinet cable bin intelligent monitoring device according to any one of claims 1 to 9, characterized in that: The following steps are involved: Install the device above the cable bin inspection light and connect the power supply of the cable bin inspection light to power the entire device; The user can connect the routing device through a computer to configure the data identification nodes of multiple cable bins in the substation, and complete the cloud platform interface connection to upload the data of each cable bin to the cloud platform; The user opens the mobile application to view the real-time status of the target cable bin captured by the device; Users can access the alarm information page through the mobile application to view the historical alarm information uploaded by the device to the cloud platform.

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