Intelligent switch cabinet operation state monitoring method and system

Abstract

The invention discloses an intelligent switch cabinet operation state monitoring method and system, and relates to the technical field of switch cabinet monitoring, and the method comprises the following steps: installing a sensor node on a switch cabinet, collecting the state information value of the switch cabinet through the sensor node, and judging the single state information value; establishing a total judgment model, uniformly transmitting the judgment result and the state information value to the total judgment model, and judging the operation state of the switch cabinet through the total judgment model; and the judgment result is output to the LCD liquid crystal display for personnel observation. According to the method, the detected single state information value is judged through the sensor node, the fault reason can be obtained according to the judgment result, and the fault reason can be further proved through judgment in combination with a judgment mode, so that a worker can conveniently overhaul the fault in time, and meanwhile, the effect of data detection can also be achieved; and the sensor nodes are prevented from not detecting data.

Description

Technical Field

[0001] The present invention relates to the technical field of switch cabinet monitoring, and in particular to a method and system for monitoring the operating status of an intelligent switch cabinet. Background Art

[0002] In the power system, switchgear is a key equipment, whose main function is to control and convert the input high voltage current through circuit breakers, disconnectors, load switches and other equipment. In the fields of industrial equipment, transmission and distribution systems, as well as wind and solar power generation, switchgear plays a vital role in ensuring the stability and continuous power supply of the power system. Switchgear helps to balance power demand, reduce energy consumption, improve energy efficiency, and reduce the load of the power system. Therefore, it has been widely used in substations, switchgear and other places. The safe and stable operation of switchgear equipment is essential to ensure the reliability of power supply in the power system.

[0003] At present, when inspecting the operating status of a switch cabinet, the staff uses various instruments to inspect the conditions of the switch cabinet in turn. This method requires the staff to have high experience, and only using various detection instruments cannot find the source of the fault that caused the problem. Summary of the invention

[0004] In view of the problems existing in the existing intelligent switch cabinet operation status monitoring and system, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that it places high demands on the staff and the source of the fault cannot be found.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for monitoring the operating status of an intelligent switch cabinet, which comprises the following steps:

[0008] Install sensor nodes on the switch cabinet, collect status information values ​​of the switch cabinet through the sensor nodes, and judge the single status information values ​​at the same time;

[0009] Establish a general judgment model, and uniformly transmit the judgment results and status information values ​​to the general judgment model, and judge the operating status of the switch cabinet through the general judgment model;

[0010] The judgment result is output to the LCD display for personnel to observe.

[0011] As a preferred solution of the method for monitoring the operating status of an intelligent switch cabinet according to the present invention, the method for installing a sensor node on the switch cabinet includes:

[0012] Determine the parameter type of the detection, and obtain the detection position according to the parameter type;

[0013] Get the action range of the sensor node and set up a range map of the action range at the detection location;

[0014] Obtain the area with the most overlapping range, obtain the corresponding parameter type according to the area, and install the corresponding sensor node according to the parameter type;

[0015] The range map of the effective range is re-established at the remaining detection positions, and the corresponding sensor nodes are installed again until all parameter types are covered by the sensor nodes.

[0016] As a preferred solution of the method for monitoring the operating status of the intelligent switch cabinet of the present invention, the method for the sensor node to judge the value of the single status information includes:

[0017] Different safety thresholds are preset according to the type of the status information value of the switch cabinet, and the different safety thresholds are output to the corresponding sensor nodes;

[0018] The sensor node compares the collected state information value with the preset safety threshold and obtains the difference between the state information value and the preset safety threshold;

[0019] The difference is judged. When the difference is greater than the judgment value X1 and less than or equal to the judgment value X2, it indicates a low risk state and a combined judgment method is performed;

[0020] When the difference is greater than the judgment value X2, it indicates a high-risk state, triggering the alarm system and disconnecting the connected circuit breaker. The alarm system includes sound and light alarm, SMS alarm, and email alarm;

[0021] When the difference is less than or equal to the judgment value X1, it indicates that there is no risk, and the value of the single status information is directly transmitted to the overall judgment model.

[0022] As a preferred solution of the method for monitoring the operating status of the intelligent switch cabinet of the present invention, the judgment step combined with the judgment method includes:

[0023] Establish a type association model for status information values ​​in advance, and train the accuracy of the type association model through historical data;

[0024] Obtain the type of the status information value of the low-risk state, and query the types and number of types of other status information values ​​associated with the type according to the association situation;

[0025] And according to the sensor nodes corresponding to the types of the remaining state information values, the remaining state information values ​​are obtained;

[0026] The sensor nodes are used to judge the values ​​of the remaining status information obtained;

[0027] When the number of types of the remaining status information values ​​is not less than 1, and the number of types with the judgment result of no risk is greater than half of the number of types of the remaining status information values ​​associated, the status information value of the low-risk state is re-judged. When the judgment result is no risk, the single status information value is transmitted to the overall judgment model. Otherwise, the output result is that the type of the single status information value is an independent fault.

[0028] When the number of types of the remaining status information values ​​is not less than 1, and the number of low-risk and high-risk types is greater than half of the number of associated types of the remaining status information values, the output result is a comprehensive fault;

[0029] When the number of types of the remaining status information values ​​is less than or equal to 1, the type association model associated with the type of the single status information value is deleted;

[0030] The type association model includes the type association of each state information value.

[0031] As a preferred solution of the method for monitoring the operating status of an intelligent switch cabinet of the present invention, the overall judgment model is expressed as:

[0032]

[0033] In the formula, Z 总 Expressed as the total score of the switchgear, Z n Represented as n types of status information values, α n It is represented by the weights corresponding to the values ​​of n types of status information, and β is represented by the protection value, which is 1 or 0.

[0034] As a preferred solution of the method for monitoring the operating status of the intelligent switch cabinet of the present invention, the judgment method of the overall judgment model includes:

[0035] Set the safety score. When the total score of the switch cabinet is greater than the set safety score, it means that the switch cabinet is in normal state.

[0036] When the total score of the switch cabinet is less than the set safety score, it means that the switch cabinet is in an abnormal state.

[0037] In a second aspect, an embodiment of the present invention provides an intelligent switch cabinet operation status monitoring system, which includes a data acquisition module, a control module, a display module and an online monitoring server;

[0038] The data acquisition module includes various sensor nodes for acquiring the three-phase voltage, three-phase current, total active power, total reactive power, total power factor, frequency, active electric energy, reactive electric energy state quantity, sulfur hexafluoride concentration value, sulfur hexafluoride temperature and humidity state quantity, pH value of the soil outside the switch cabinet, temperature value and air humidity value of the environment where the switch cabinet is located, and vibration speed, angle, displacement and frequency state quantity of the switch cabinet during operation;

[0039] The control module is composed of an analog-to-digital converter, a data chip and a controller, the three parts are connected in sequence, and the controller is connected to the circuit breaker of the intelligent switch cabinet;

[0040] The display module is composed of an LCD liquid crystal display and a status alarm;

[0041] The online monitoring server is used to judge the status information value of the switch cabinet, and output different execution instructions to the control module according to the judgment result.

[0042] As a preferred solution of the intelligent switch cabinet operation status monitoring system of the present invention, wherein: when the online monitoring server outputs different execution instructions, it synchronously outputs the weight value;

[0043] After receiving the weight value, the control module controls various sensor nodes in the acquisition module to remove the collected error status information values ​​and re-collect information from the switch cabinet.

[0044] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned intelligent switch cabinet operation status monitoring method is implemented.

[0045] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned method for monitoring the operating status of an intelligent switch cabinet is implemented.

[0046] The beneficial effects of the present invention are as follows: by installing the sensor nodes, the sensor node coverage area can be made more comprehensive. At the same time, because multiple groups of sensor nodes are installed at the same position, it is convenient for operators to arrange the connected lines, making the overall lines neater, and systematic detection can achieve comprehensive control of the operating status of the switch cabinet.

[0047] By judging the value of the single status information detected by the sensor node, the cause of the fault can be obtained based on the judgment result, and by combining the judgment method, the cause of the fault can be further verified, which is convenient for the staff to repair the fault in time. At the same time, it can also play the role of data detection to prevent the sensor node from not detecting the data. Through the use of the total judgment model, it can play the role of secondary judgment and further increase the accuracy of the judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0049] Figure 1 The figure is a flow chart of the method for monitoring the operating status of an intelligent switch cabinet.

[0050] Figure 2 Schematic diagram of sensor node installation for the intelligent switch cabinet operation status monitoring method. DETAILED DESCRIPTION

[0051] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0052] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0053] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0054] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0055] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0056] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] Example 1

[0058] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for monitoring the operating status of an intelligent switch cabinet, comprising the following steps:

[0059] S1. Install sensor nodes on the switch cabinet, collect status information values ​​of the switch cabinet through the sensor nodes, and judge the single status information values ​​at the same time.

[0060] Methods for installing sensor nodes on switch cabinets include:

[0061] Determine the parameter type of the detection, and obtain the detection position according to the parameter type;

[0062] Get the action range of the sensor node and set up a range map of the action range at the detection location;

[0063] Obtain the area with the most overlapping range, obtain the corresponding parameter type according to the area, and install the corresponding sensor node according to the parameter type;

[0064] Re-establish the range map of the effective range at the remaining detection positions, and install the corresponding sensor nodes again until all parameter types are covered by the sensor nodes;

[0065] For example, Figure 2 As shown, assuming that the detection range of the sensor node is 2m, and the detection position for detecting the parameter type is obtained, a circle with a diameter of 2m is established at the position, and the sensor nodes are installed within the established range, that is, the three groups of sensor nodes in the figure, and the synchronous installation can facilitate the staff to arrange the wires of the sensor nodes. The installed sensor nodes can detect the parameter type. In the same way, all sensor nodes are installed one by one until the sensor nodes can cover all detection positions.

[0066] The method for the sensor node to judge the value of the single state information includes:

[0067] Different safety thresholds are preset according to the type of the status information value of the switch cabinet, and the different safety thresholds are output to the corresponding sensor nodes;

[0068] The sensor node compares the collected state information value with the preset safety threshold and obtains the difference between the state information value and the preset safety threshold;

[0069] The difference is judged. When the difference is greater than the judgment value X1 and less than or equal to the judgment value X2, it indicates a low risk state and a combined judgment method is performed;

[0070] When the difference is greater than the judgment value X2, it indicates a high-risk state, triggering the alarm system and disconnecting the connected circuit breaker. The alarm system includes sound and light alarm, SMS alarm, and email alarm;

[0071] When the difference is less than or equal to the judgment value X1, it means there is no risk, and the single status information value is directly transmitted to the overall judgment model;

[0072] In implementation, if the temperature of the switch cabinet is detected, and the temperature detected by the sensor node is 50°C, and the set safety threshold is 35°C, the calculated difference is 15°C. In this type, the judgment value X1 is 10, and the judgment value X2 is 25. The calculated difference is judged. If the difference is greater than the judgment value X1 and less than or equal to the judgment value X2, it means that the situation is in a low-risk state and a combined judgment is required;

[0073] In the same way, if the calculated difference is 5°C, it is less than or equal to the judgment value X1, which means that the situation is risk-free. The temperature detected by the sensor node is directly transmitted to the overall judgment model, that is, 50°C is transmitted to the overall judgment model.

[0074] The judgment step of combining the judgment method includes:

[0075] Establish a type association model for status information values ​​in advance, and train the accuracy of the type association model through historical data;

[0076] Wherein, the type association model includes the type association of each state information value;

[0077] For example, when the type of the state information value is temperature, the type association model is temperature-humidity, three voltages, three currents, and frequency;

[0078] Obtain the type of the status information value of the low-risk state, and query the types and number of types of other status information values ​​associated with the type according to the association situation;

[0079] And according to the sensor nodes corresponding to the types of the remaining state information values, the remaining state information values ​​are obtained;

[0080] When the type of the status information value is that the temperature is in a low-risk state, the humidity, three voltages, three currents and frequency are detected, and the humidity, three voltages, three currents and frequency are judged respectively through the corresponding sensor nodes;

[0081] The sensor nodes are used to judge the values ​​of the remaining status information obtained;

[0082] When the number of types of the remaining status information values ​​is not less than 1, and the number of types with the judgment result of no risk is greater than half of the number of types of the remaining status information values ​​associated, the status information value of the low-risk state is re-judged. When the judgment result is no risk, the single status information value is transmitted to the overall judgment model. Otherwise, the output result is that the type of the single status information value is an independent fault.

[0083] When the number of types of the remaining status information values ​​is not less than 1, and the number of low-risk and high-risk types is greater than half of the number of associated types of the remaining status information values, the output result is a comprehensive fault;

[0084] When the three-phase voltage, three currents and frequency are all detected as low risk or high risk, and the humidity detection result is normal, it is a comprehensive fault. At this time, the staff will detect and repair the corresponding position based on the information of the comprehensive fault. The most likely situation in this case is abnormal current release, that is, abnormal partial discharge;

[0085] If the humidity, three-phase voltage, three currents and frequency are all detected as risk-free, it means that only the temperature detection is abnormal. It is possible that the value is unstable at certain stage, so the temperature should be re-tested. If the test result is still in a risky state, it will be marked as an independent fault of temperature type.

[0086] When the number of types of the remaining status information values ​​is less than or equal to 1, the type association model associated with the type of the single status information value is deleted;

[0087] For example, the type of state information value associated with the vibration velocity is displacement. At this time, the number of associated types is 1, and the type association model is deleted.

[0088] S2. Establish a general judgment model, and uniformly transmit the judgment results and status information values ​​to the general judgment model, and judge the operating status of the switch cabinet through the general judgment model.

[0089] The overall judgment model is expressed as,

[0090]

[0091] In the formula, Z 总 Expressed as the total score of the switchgear, Z n Represented as n types of status information values, α n It is represented by the weights corresponding to the values ​​of n types of status information, and β is represented by the protection value, which is 1 or 0;

[0092] The acquired status information values ​​are transmitted to the overall judgment model through all sensor nodes, and the total score of the switch cabinet is calculated through the calculation formula. Each status information value has different weights according to the type, and when an accident occurs, the protection value can be adjusted to 0, and the alarm system can be activated.

[0093] The judgment method of the overall judgment model includes:

[0094] Set the safety score. When the total score of the switch cabinet is greater than the set safety score, it means that the switch cabinet is in normal state.

[0095] When the total score of the switch cabinet is less than the set safety score, it means that the switch cabinet is in an abnormal state;

[0096] By setting the safety score, this method can judge the switch cabinet as a whole, and can also judge different types of switch cabinets. The combination of multiple groups of judgment methods ensures the accuracy of switch cabinet detection.

[0097] S3. Output the two judgment results to the LCD display for observation by personnel.

[0098] In summary, by installing sensor nodes, the coverage area of ​​sensor nodes can be more comprehensive. At the same time, because multiple groups of sensor nodes are installed at the same location, it is convenient for operators to arrange the connected lines, making the overall lines neater, and systematic detection can achieve comprehensive control of the operating status of the switch cabinet.

[0099] By judging the value of the single status information detected by the sensor node, the cause of the fault can be obtained based on the judgment result, and by combining the judgment method, the cause of the fault can be further verified, which is convenient for the staff to repair the fault in time. At the same time, it can also play the role of data detection to prevent the sensor node from not detecting the data. Through the use of the total judgment model, it can play the role of secondary judgment and further increase the accuracy of the judgment.

[0100] Example 2

[0101] On the basis of the first embodiment, this embodiment further provides an intelligent switch cabinet operation status monitoring system, including: a data acquisition module, a control module, a display module and an online monitoring server;

[0102] The data acquisition module includes various sensor nodes for acquiring the three-phase voltage, three-phase current, total active power, total reactive power, total power factor, frequency, active electric energy, reactive electric energy state quantity, sulfur hexafluoride concentration value, sulfur hexafluoride temperature and humidity state quantity, pH value of the soil outside the switch cabinet, temperature value and air humidity value of the environment where the switch cabinet is located, and vibration speed, angle, displacement and frequency state quantity of the switch cabinet during operation;

[0103] The control module is composed of an analog-to-digital converter, a data chip and a controller, the three parts are connected in sequence, and the controller is connected to the circuit breaker of the intelligent switch cabinet;

[0104] The display module is composed of an LCD liquid crystal display and a status alarm;

[0105] The online monitoring server is used to judge the status information value of the switch cabinet, and output different execution instructions to the control module according to the judgment result.

[0106] When the online monitoring server outputs different execution instructions, it synchronously outputs weight values;

[0107] After receiving the weight value, the control module controls various sensor nodes in the acquisition module to remove the collected error status information values ​​and re-collect information from the switch cabinet.

[0108] This embodiment also provides a computer device, which is suitable for the case of the intelligent switch cabinet operation status monitoring method, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the intelligent switch cabinet operation status monitoring method proposed in the above embodiment.

[0109] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0110] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for monitoring the operating status of an intelligent switch cabinet proposed in the above embodiment is implemented.

[0111] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0112] Example 3

[0113] On the basis of the previous two embodiments, this embodiment provides a method for monitoring the operating status of an intelligent switch cabinet. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0114] Existing technology: using sensors carried by humans to detect switch cabinets;

[0115] Comparison table: Schematic table of the effects of different methods

[0116] Employee conditions Failure Analysis Timeliness Numerical accuracy Prior art High technical requirements Unable to obtain the cause of the failure Get information in real time Three judgments support each other This method No technical requirements Ability to obtain fault cause Gap information Relying on manual experience

[0117] It can be seen from the above table that this method achieves comprehensive coverage of the switch cabinet through reasonable installation of sensor nodes, and through the installation of multiple groups of sensor nodes, the overall line is neater, which is convenient for operators to arrange cables and maintain them. In addition, the systematic detection method does not need to rely on personnel technical requirements. Secondly, through the intelligent judgment of single status information, the combined judgment method and the overall judgment model, the three groups of judgments are mutually supported to improve the judgment accuracy, and the cause of the fault can be obtained, which is convenient for the staff to repair the fault point in time.

[0118] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring the operating status of an intelligent switch cabinet, characterized in that: The following steps are included: Install sensor nodes on the switch cabinet, collect status information values ​​of the switch cabinet through the sensor nodes, and judge the single status information values ​​at the same time; Establish a general judgment model, and uniformly transmit the judgment results and status information values ​​to the general judgment model, and judge the operating status of the switch cabinet through the general judgment model; The two judgment results are output to the LCD display for personnel to observe.

2. The method for monitoring the operating status of an intelligent switch cabinet according to claim 1, characterized in that: Methods for installing sensor nodes on switch cabinets include: Determine the parameter type of the detection, and obtain the detection position according to the parameter type; Get the action range of the sensor node and set up a range map of the action range at the detection location; Obtain the area with the most overlapping range, obtain the corresponding parameter type according to the area, and install the corresponding sensor node according to the parameter type; The range map of the effective range is re-established at the remaining detection positions, and the corresponding sensor nodes are installed again until all parameter types are covered by the sensor nodes.

3. The method for monitoring the operating status of an intelligent switch cabinet according to claim 2, characterized in that: The method for the sensor node to judge the value of the single state information includes: Different safety thresholds are preset according to the type of the status information value of the switch cabinet, and the different safety thresholds are output to the corresponding sensor nodes; The sensor node compares the collected state information value with the preset safety threshold and obtains the difference between the state information value and the preset safety threshold; The difference is judged. When the difference is greater than the judgment value X1 and less than or equal to the judgment value X2, it indicates a low risk state and a combined judgment method is performed; When the difference is greater than the judgment value X2, it indicates a high-risk state, triggering the alarm system and disconnecting the connected circuit breaker. The alarm system includes sound and light alarm, SMS alarm, and email alarm; When the difference is less than or equal to the judgment value X1, it indicates that there is no risk, and the value of the single status information is directly transmitted to the overall judgment model.

4. The method for monitoring the operating status of an intelligent switch cabinet according to claim 3, characterized in that: The judgment step of combining the judgment method includes: Establish a type association model for status information values ​​in advance, and train the accuracy of the type association model through historical data; Obtain the type of the status information value of the low-risk state, and query the types and number of types of other status information values ​​associated with the type according to the association situation; And according to the sensor nodes corresponding to the types of the remaining state information values, the remaining state information values ​​are obtained; The sensor nodes are used to judge the values ​​of the remaining status information obtained; When the number of types of the remaining status information values ​​is not less than 1, and the number of types with the judgment result of no risk is greater than half of the number of types of the remaining status information values ​​associated, the status information value of the low-risk state is re-judged. When the judgment result is no risk, the single status information value is transmitted to the overall judgment model. Otherwise, the output result is that the type of the single status information value is an independent fault. When the number of types of the remaining status information values ​​is not less than 1, and the number of low-risk and high-risk types is greater than half of the number of associated types of the remaining status information values, the output result is a comprehensive fault; When the number of types of the remaining status information values ​​is less than or equal to 1, the type association model associated with the type of the single status information value is deleted; The type association model includes the type association of each state information value.

5. The method for monitoring the operating status of an intelligent switch cabinet according to claim 4, characterized in that: The overall judgment model is expressed as, In the formula, Z 总 Expressed as the total score of the switchgear, Z n Represented as n types of status information values, α n It is represented by the weights corresponding to the values ​​of n types of status information, and β is represented by the protection value, which is 1 or 0.

6. The method for monitoring the operating status of an intelligent switch cabinet according to claim 5, characterized in that: The judgment method of the overall judgment model includes: Set the safety score. When the total score of the switch cabinet is greater than the set safety score, it means that the switch cabinet is in normal state. When the total score of the switch cabinet is less than the set safety score, it means that the switch cabinet is in an abnormal state.

7. An intelligent switch cabinet operation status monitoring system, based on the intelligent switch cabinet operation status monitoring method according to any one of claims 1 to 6, characterized in that: It includes data acquisition module, control module, display module and online monitoring server; The data acquisition module includes various sensor nodes for acquiring the three-phase voltage, three-phase current, total active power, total reactive power, total power factor, frequency, active electric energy, reactive electric energy state quantity, sulfur hexafluoride concentration value, sulfur hexafluoride temperature and humidity state quantity, pH value of the soil outside the switch cabinet, temperature value and air humidity value of the environment where the switch cabinet is located, and vibration speed, angle, displacement and frequency state quantity of the switch cabinet during operation; The control module is composed of an analog-to-digital converter, a data chip and a controller, the three parts are connected in sequence, and the controller is connected to the circuit breaker of the intelligent switch cabinet; The display module is composed of an LCD liquid crystal display and a status alarm; The online monitoring server is used to judge the status information value of the switch cabinet, and output different execution instructions to the control module according to the judgment result.

8. The intelligent switch cabinet operation status monitoring system according to claim 7, characterized in that: When the online monitoring server outputs different execution instructions, it synchronously outputs weight values; After receiving the weight value, the control module controls various sensor nodes in the acquisition module to remove the collected error status information values ​​and re-collect information from the switch cabinet.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent switch cabinet operation status monitoring method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for monitoring the operating status of an intelligent switch cabinet according to any one of claims 1 to 6 are implemented.

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