Prefabricated substation capable of intelligently monitoring non-electric quantity information

By installing intelligent infrared cameras and servers in different indoor areas of pre-installed substations, the non-power information is collected and analyzed in real time, the problem of inaccurate collection of non-power information in the existing technology is solved, and the safety monitoring and accident response capabilities of pre-installed substations are improved.

CN222654666UActive Publication Date: 2025-03-21SHANGHAI ELECTRIC GRP (ZHANGJIAGANG) TRANSFORMER CO LTD
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Patent Information

Application Number
CN202420666942.2
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-04-02
Publication Date
2025-03-21
Estimated Expiration
2034-04-02

AI Technical Summary

Technical Problem

The existing pre-installed substations have accuracy and reliability problems in collecting non-power information, resulting in missed reports, false alarms and safety hazards.

Method used

Design an intelligent monitoring system to realize big data analysis and abnormal prompts by installing intelligent infrared cameras and servers in high-voltage chambers, low-voltage chambers and transformer chambers to collect and analyze non-power information in real time, including flame, smoke, door status and biological morphology data.

Benefits of technology

Real-time and accurate monitoring of non-power information of pre-installed substations is realized, and the occurrence of missed and false alarms is eliminated, and safety maintenance and accident response capabilities are significantly improved.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The utility model provides a prefabricated substation capable of intelligently monitoring non-electric quantity information, and belongs to the field of prefabricated substations. The transformer box body is configured into a high-voltage chamber, a low-voltage chamber and a transformer chamber; a high-voltage switch and first monitoring equipment are arranged in the high-voltage chamber; a low-voltage switch and second monitoring equipment are arranged in the low-voltage chamber; a transformer and third monitoring equipment are arranged in the transformer chamber; a server connected with the first to third monitoring devices; the first to third monitoring devices are used for collecting non-electric quantity information; and the server is used for receiving the non-electric quantity information, performing big data analysis on the non-electric quantity information, and performing normal prompt or abnormal prompt according to a processing result of the big data analysis. According to the utility model, the real-time and accurate monitoring of the non-electric quantity information of the prefabricated substation is realized, the occurrence of missing report and false report is avoided, and the safety maintenance and accident response of the prefabricated substation are greatly improved.
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Description

Technical Field

[0001] The utility model relates to the field of prefabricated transformer substations, in particular to a prefabricated transformer substation capable of intelligently monitoring non-electrical quantity information. Background Art

[0002] Prefabricated substations are all operated outdoors and are unmanned. In terms of non-electric information collection, current prefabricated substations are either unable to accurately collect and monitor, such as smoke alarms, doors not closed tightly, etc., and the response time to fire is long. In northern China, especially in the northwest, there is a lot of sandstorms, and the smoke alarms currently installed often produce false alarms due to dust accumulation, which brings great inconvenience to operation; or they cannot collect information, such as small animals entering, which brings great hidden dangers to the safe operation of prefabricated substations. Utility Model Content

[0003] In order to overcome the shortcomings of the prior art, the purpose of the utility model is to provide a prefabricated substation that intelligently monitors non-electrical information. The utility model realizes real-time and accurate monitoring of non-electrical information of the prefabricated substation, eliminates the occurrence of missed reports and false reports, and greatly improves the safety maintenance and accident response of the prefabricated substation.

[0004] To achieve the above purpose, the utility model provides the following solutions:

[0005] A prefabricated substation for intelligently monitoring non-electrical information, comprising: a transformer box; the transformer box is configured as a high-voltage room, a low-voltage room and a transformer room; the high-voltage room is equipped with a high-voltage switch and a first monitoring device; the low-voltage room is equipped with a low-voltage switch and a second monitoring device; the transformer room is equipped with a transformer and a third monitoring device; a server connected to the first monitoring device, the second monitoring device and the third monitoring device; the high-voltage switch is connected to the transformer through a cable; the low-voltage switch is connected to the transformer through a copper busbar;

[0006] The first monitoring device is used to collect non-electrical information of the high-voltage room, and upload the non-electrical information of the high-voltage room to the server; the second monitoring device is used to collect non-electrical information of the low-voltage room, and upload the non-electrical information of the low-voltage room to the server; the third monitoring device is used to collect non-electrical information of the transformer room, and upload the non-electrical information of the transformer to the server; the server is used to receive the non-electrical information of the high-voltage room, the low-voltage room and the transformer room, perform big data analysis on the non-electrical information, and provide normal prompts or abnormal prompts based on the processing results of the big data analysis.

[0007] Preferably, the server comprises a physical layer, a data layer, a resource layer, a service layer, a communication layer and a presentation layer connected in sequence;

[0008] The physical layer is used to receive non-electrical information of the high-voltage room, the low-voltage room and the transformer room; the data layer is used to filter the non-electrical information; the resource layer is used to determine the environmental conditions based on the filtered data; the service layer is used to group and store the environmental conditions and issue instructions to the communication layer based on the environmental conditions; the communication layer selects a communication protocol based on the equipment used by the presentation layer, and sends the instructions to the presentation layer in a form that complies with the communication protocol; the presentation layer is used to receive and display the instructions.

[0009] Preferably, the first monitoring device, the second monitoring device and the third monitoring device are all intelligent infrared cameras.

[0010] Preferably, the device used in the presentation layer is a smart phone.

[0011] Preferably, the data layer is embedded with deep learning algorithms, big data algorithms and distributed cluster management algorithms.

[0012] Preferably, the non-electrical quantity information includes: flame data and smoke data in the transformer cabinet, door opening and closing data of the transformer cabinet, and biological morphological data of entering the transformer cabinet.

[0013] According to the specific embodiments provided by the utility model, the utility model discloses the following technical effects:

[0014] The utility model provides a prefabricated substation for intelligently monitoring non-electrical information, belonging to the field of prefabricated substations, including: a transformer box; the transformer box is configured as a high-voltage room, a low-voltage room and a transformer room; the high-voltage room is equipped with a high-voltage switch and a first monitoring device; the low-voltage room is equipped with a low-voltage switch and a second monitoring device; the transformer room is equipped with a transformer and a third monitoring device; a server with the first to third monitoring devices; the first to third monitoring devices are used to collect non-electrical information; the server is used to receive non-electrical information, perform big data analysis on the non-electrical information, and give normal or abnormal prompts according to the processing results of the big data analysis. The utility model realizes real-time and accurate monitoring of non-electrical information of prefabricated substations, eliminates the occurrence of missed reports and false reports, and greatly improves the safety maintenance and accident response of prefabricated substations. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0016] Figure 1 A structural diagram of a transformer provided in an embodiment of the utility model;

[0017] Figure 2 A schematic diagram of the server structure provided for an embodiment of the utility model;

[0018] Figure 3 A server software structure diagram provided for an embodiment of the utility model;

[0019] Description of reference numerals:

[0020] 1- High voltage room, 2- Low voltage room, 3- Transformer room, 4- Monitoring equipment, 5- Server, 6- Backstage monitoring system. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0022] The purpose of the utility model is to provide a prefabricated substation that intelligently monitors non-electrical information. The utility model realizes real-time and accurate monitoring of non-electrical information of the prefabricated substation, eliminates the occurrence of missed reports and false reports, and greatly improves the safety maintenance and accident response of the prefabricated substation.

[0023] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0024] Figure 1 is the transformer structure diagram, such as Figure 1As shown, the utility model provides a prefabricated substation for intelligently monitoring non-electrical information, including: a transformer box; the transformer box is configured as a high-voltage chamber 1, a low-voltage chamber 2 and a transformer chamber 3; the high-voltage chamber 1 has a high-voltage switch and a first monitoring device built in; the low-voltage chamber 2 has a low-voltage switch and a second monitoring device built in; the transformer chamber 3 has a transformer and a third monitoring device built in; a server 5 connected to the first monitoring device, the second monitoring device and the third monitoring device; the high-voltage switch is connected to the transformer through a cable; the low-voltage switch is connected to the transformer through a copper busbar;

[0025] The first monitoring device is used to collect the non-electrical information of the high-voltage chamber 1, and upload the non-electrical information of the high-voltage chamber 1 to the server 5; the second monitoring device is used to collect the non-electrical information of the low-voltage chamber 2, and upload the non-electrical information of the low-voltage chamber 2 to the server 5; the third monitoring device is used to collect the non-electrical information of the transformer chamber 3, and upload the non-electrical information of the transformer to the server 5; the server 5 is used to receive the non-electrical information of the high-voltage chamber 1, the low-voltage chamber 2 and the transformer chamber 3, perform big data analysis on the non-electrical information, and provide normal prompts or abnormal prompts based on the processing results of the big data analysis.

[0026] refer to Figure 2 and Figure 3 , the server 5 includes a physical layer, a data layer, a resource layer, a service layer, a communication layer and a presentation layer connected in sequence;

[0027] The physical layer is used to receive the non-electrical information of the high-voltage room 1, the low-voltage room 2 and the transformer room 3; the data layer is used to filter the non-electrical information; the resource layer is used to determine the environmental conditions based on the filtered data; the service layer is used to group and store the environmental conditions and issue instructions to the communication layer based on the environmental conditions; the communication layer selects a communication protocol according to the equipment used by the presentation layer, and sends the instructions to the presentation layer in a form that complies with the communication protocol; the presentation layer is used to receive and display the instructions.

[0028] Optionally, the first monitoring device, the second monitoring device and the third monitoring device are all intelligent infrared cameras.

[0029] Optionally, the device used in the presentation layer is a smart phone.

[0030] Specifically, the data layer is embedded with deep learning algorithms, big data algorithms and distributed cluster management algorithms.

[0031] Furthermore, the non-electrical quantity information includes: flame data and smoke data in the transformer cabinet, door opening and closing data of the transformer cabinet, and biological morphological data of those entering the transformer cabinet.

[0032] Specifically, the intelligent infrared camera is connected to the background system, which collects flame and smoke patterns through big data; door opening and closing status, and morphological data of snakes, mice, rabbits, etc. It can identify different objects and detect abnormal situations in the monitoring screen, and can issue alarms and provide useful information in the fastest and best way, thereby more effectively assisting security personnel in handling crises and minimizing false alarms and missed alarms.

[0033] Optionally, the prefabricated substation is a metal or non-metal box as a whole.

[0034] Specifically, an intelligent infrared camera is installed in each of the high-voltage room 1 where the high-voltage switchgear is installed, the low-voltage room 2 where the low-voltage equipment is installed, and the transformer room 3 where the transformer is installed. The intelligent infrared camera is connected to the background monitoring system 6 through the server 5. The server 5 is an edge server 5 with task management capabilities. Through the images collected by the intelligent infrared camera, deep learning algorithms, big data processing and distributed cluster management technologies are adopted, and related technologies such as artificial intelligence and robot thinking are used to form an "intelligent, visual, real-time, and information-based" management system. Through the physical layer, the infrared camera collects non-electrical information; through the data layer, big data filters out the corresponding information; at the resource layer, each resource library determines the non-electrical information event; then through the service layer, grouping, storage, issuing instructions and other related processing are carried out; finally, through the communication layer, according to the actual communication protocol required, prompts or alarms are given on the presentation layer and the background system. The use of deep learning algorithms, big data processing and distributed cluster management technologies, as well as the use of related technologies such as artificial intelligence and robotic thinking to form "intelligent, visual, real-time, and information-based" management technology is currently a mature existing technology. This embodiment does not specifically limit this solution, that is, substation technical solutions that can complete deep learning, big data processing and distributed cluster management are all within the scope of protection of the present invention. For example, this embodiment can adopt the technical solution provided by patent CN 112419202A to achieve the above purpose.

[0035] For example, when a fire occurs in any room of the prefabricated substation or a small animal enters, the background monitoring system 6 will receive the information and send out an alarm, thereby achieving real-time and accurate monitoring of the non-electric information of the prefabricated substation.

[0036] The beneficial effects of the utility model are as follows:

[0037] The utility model realizes real-time and accurate monitoring of non-electrical information of prefabricated substations, eliminates the occurrence of missed reports and false reports, and greatly improves the safety maintenance and accident response of prefabricated substations.

[0038] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0039] This article uses specific examples to illustrate the principles and implementation methods of the utility model. The above examples are only used to help understand the method and core ideas of the utility model. At the same time, for those skilled in the art, according to the ideas of the utility model, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the utility model.

Claims

1. A prefabricated substation for intelligently monitoring non-electrical information, comprising: A transformer box; the transformer box is configured as a high voltage chamber, a low voltage chamber and a transformer chamber; The high voltage chamber is provided with a high voltage switch and a first monitoring device; The low-voltage room is equipped with a low-voltage switch and a second monitoring device; the transformer room is equipped with a transformer and a third monitoring device; the high-voltage switch is connected to the transformer through a cable; The low-voltage switch is connected to the transformer via a copper busbar, and is characterized in that it further comprises: a server connected to the first monitoring device, the second monitoring device and the third monitoring device; The first monitoring device is used to collect non-electrical information of the high-voltage room, and upload the non-electrical information of the high-voltage room to the server; the second monitoring device is used to collect non-electrical information of the low-voltage room, and upload the non-electrical information of the low-voltage room to the server; the third monitoring device is used to collect non-electrical information of the transformer room, and upload the non-electrical information of the transformer to the server; the server is used to receive the non-electrical information of the high-voltage room, the low-voltage room and the transformer room, perform big data analysis on the non-electrical information, and provide normal prompts or abnormal prompts based on the processing results of the big data analysis.

2. A prefabricated substation for intelligently monitoring non-electrical information according to claim 1, characterized in that: The first monitoring device, the second monitoring device and the third monitoring device are all intelligent infrared cameras.