Fault diagnosis system based on distribution box cloud management

Abstract

The invention relates to the technical field of distribution boxes, in particular to a distribution box cloud management-based fault diagnosis system, which comprises a sensing module used for sensing operation state parameters and environmental parameters of a distribution box; the analysis module is used for receiving the distribution box operation state parameters and the environment parameters sensed by the sensing module, analyzing the distribution box fault risk by using the distribution box operation state parameters, and analyzing the distribution box fault tendency by using the distribution box operation environment parameters; according to the method, the operation state parameters and the environment parameters of the distribution box are collected, the fault risk and the fault tendency of the distribution box are continuously analyzed, continuous fault diagnosis is carried out on the distribution box by combining the two analysis results, and a certain prediction effect is achieved in the diagnosis process; therefore, the system has certain predictability for fault diagnosis of the distribution box.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution boxes, and in particular to a fault diagnosis system based on cloud management of distribution boxes. Background Art

[0002] A distribution box failure refers to an abnormal condition that occurs during the operation of the distribution box. It may be caused by a variety of factors, such as aging of electrical components, overload, short circuit, poor contact, etc. Fault manifestations include tripping, abnormal voltage, heating, etc. This will not only affect the power supply, but in serious cases may also cause safety accidents such as fire.

[0003] The invention patent with application number 202410005158.1 discloses a low-voltage distribution cabinet fault diagnosis system based on data analysis, which is characterized by including a supervision platform, a data acquisition unit, a fault resolution unit, a self-test evaluation unit, an obstacle analysis unit, an electrical risk unit, a joint interference unit and an early warning display unit; when the supervision platform generates an operation management instruction, and sends the operation management instruction to the data acquisition unit, the data acquisition unit immediately collects the abnormal sound data of the low-voltage distribution cabinet upon receiving the operation management instruction, and the abnormal sound data includes abnormal sound characteristic values, and sends the abnormal sound characteristic values ​​to the fault resolution unit. After receiving the abnormal sound data, the fault resolution unit immediately performs operation supervision feedback analysis on the abnormal sound data, sends the obtained risk signal to the self-test evaluation unit and the obstacle analysis unit, and sends the obtained continuous The signal and interval signal are sent to the early warning display unit; after receiving the risk signal, the self-test evaluation unit immediately collects the status data of the buzzer of the low-voltage distribution cabinet, the status data includes the environmental impact value and the operation interference value, and performs safe operation supervision operations on the status data, and sends the obtained valid signal and verification signal to the early warning display unit through the fault resolution unit; after receiving the risk signal, the obstacle analysis unit immediately collects the mechanical data and electrical data of the low-voltage distribution cabinet, the mechanical data includes the wear risk value and the rotation abnormality value, the electrical data includes the line end contact value and the capacitance management value, and sends the electrical data to the electrical risk unit, and at the same time performs status supervision feedback evaluation operations on the mechanical data, sends the obtained mechanical risk assessment coefficient JX to the joint interference unit, and sends the obtained feedback signal to the early warning display unit.

[0004] The application aims to solve the problem that "the existing control and management strength and methods of low-voltage distribution cabinets are one-sided and inaccurate, making it difficult to use real-time monitoring methods to control the fault status of the switch cabinet, and unable to ensure the stable operation of the switch cabinet, let alone the safe operation of the power system, which greatly hinders the development of the power system, and it is impossible to analyze and feedback the data that causes abnormal noises in the low-voltage distribution cabinet, thereby reducing the management effect and management accuracy of the low-voltage distribution cabinet."

[0005] However, the existing distribution boxes still have the following problems in the process of performing daily operation fault diagnosis:

[0006] 1. Poor predictability. Usually, after a distribution box fails, immediate response is required before maintenance measures are taken;

[0007] 2. The fault judgment logic of the distribution box is unique, but the operating environment of the distribution box is not considered or is not considered comprehensively, resulting in limited fault judgment accuracy.

[0008] Therefore, a fault diagnosis system based on cloud management of distribution boxes is proposed. Summary of the invention

[0009] In view of the above-mentioned shortcomings of the prior art, the present invention provides a fault diagnosis system based on cloud management of distribution boxes, which solves the technical problems raised in the above-mentioned background technology.

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0011] A fault diagnosis system based on cloud management of distribution boxes, comprising:

[0012] A perception module is used to perceive the operating status parameters and environmental parameters of the distribution box; an analysis module is used to receive the operating status parameters and environmental parameters of the distribution box perceived by the perception module, and use the operating status parameters of the distribution box to analyze the failure risk of the distribution box, and use the operating environmental parameters of the distribution box to analyze the failure tendency of the distribution box; a first diagnosis module is used to receive the analysis results of the failure risk and failure tendency of the distribution box in the analysis module, and use the two sets of analysis results to diagnose the current failure probability of the distribution box; a second diagnosis module is used to record the current failure probability diagnosis results of the distribution box in the first diagnosis module, and diagnose whether there is a fault in the distribution box; an interaction module is used to store alarm information, obtain the diagnosis results in the second diagnosis module, and when the diagnosis result is yes, feedback the alarm information to the system end user; a recording module is used to record the operation message of the interaction module;

[0013] The interactive module is connected to the mobile computer device held by the system end user through a wireless network, and uses the mobile computer device as an interactive template to feedback alarm information, wherein the alarm information is audio data or text data customized by the system end user.

[0014] Furthermore, the sensing module operates to sense the distribution box operating state parameters including: voltage, current, power factor, temperature, harmonic content and power frequency magnetic field strength, and the sensing module operates to sense the distribution box operating environment parameters including: temperature, humidity, dust content, atmospheric pressure, electromagnetic interference;

[0015] The sensing module is integrated with sensors that can sense the operating status parameters and environmental parameters of the corresponding distribution box. The sensors that sense the operating status parameters of the distribution box are deployed in the distribution box, and the sensors that sense the operating environmental parameters of the distribution box are deployed in the machine room where the distribution box is located or in a circular area with a radius of 5m with the distribution box as the center;

[0016] The sensing module operates in a 24-hour cycle. It senses the ambient temperature at 6:30 and 14:30 in each operating cycle. The operating frequency of the sensing module is set based on the sensed ambient temperature and applied to the next operating cycle.

[0017] Furthermore, the operating frequency set in the perception module obeys:

[0018]

[0019] Where: p is the operating frequency of the perception module in the next operating cycle; p0 is the base number of the perception module operating frequency setting; C 14:30 , C 6:30 The ambient temperature of the area where the distribution box is located at 14:30 and 6:30 in the current cycle; minC is the minimum perceived temperature difference in the area where the distribution box is located;

[0020] Among them, the base number p0 of the operating frequency setting of the perception module is customized by the system end user, and the minimum perceived temperature difference minC of the area where the distribution box is located is customized by the system end user, or the historically known minimum perceived temperature difference of the area where the distribution box is located is used.

[0021] Furthermore, the perception module is provided with submodules at a lower level, including:

[0022] A control unit, used for receiving a sensing module operating frequency set in the sensing module, and controlling the sensing module to operate in real time in each operating cycle based on the sensing module operating frequency;

[0023] A storage unit is used to receive the distribution box operation status parameters and environmental parameters sensed by the sensing module in real time, and store the distribution box operation status parameters and environmental parameters;

[0024] Among them, after receiving the operating status parameters and environmental parameters of the distribution box, the storage unit distinguishes and stores the operating status parameters and environmental parameters of the distribution box, and each group of stored operating status parameters and environmental parameters of the distribution box are marked with a perception timestamp. The distinguished and stored operating status parameters and environmental parameters of the distribution box are sorted and stored in their respective distinguished storage intervals based on the perception timestamps marked on each parameter.

[0025] Furthermore, the analysis module runs in a storage unit deployed at a lower level of the perception module to obtain the operating status parameters and environmental parameters of the distribution box, and analyzes the failure risk and failure tendency of the distribution box based on the operating status parameters and environmental parameters of the distribution box;

[0026] The distribution box failure risk analysis logic is expressed as:

[0027]

[0028] Where: R(i) is the distribution box failure risk value reflected by the operating status parameters of the i-th group of distribution boxes; ΔU is the minimum difference between the voltage and the allowable voltage threshold; U is the voltage; ΔI is the minimum difference between the current and the allowable current threshold; I is the current; ΔT is the minimum difference between the temperature and the allowable temperature threshold; THD is the harmonic content; ΔB is the minimum difference between the power frequency magnetic field strength and the allowable power frequency magnetic field strength threshold; is the power factor; R′ is the fault risk value of the distribution box; n is the total amount of the operating status parameters of the distribution box; ω i is the weight;

[0029] The total amount n of the distribution box operating status parameters at least includes the distribution box operating status parameters sensed by the sensing module based on the operating frequency within an operating cycle. And each group weight ω i are all greater than zero, and the longer the time span of i corresponding to the perception timestamp is from 14:30 or 6:30, the greater ω i The larger the value.

[0030] Furthermore, the fault tendency analysis logic of the distribution box in the analysis module is expressed as:

[0031]

[0032] Where: f is the fault tendency performance value of the distribution box; m is the operating environment parameter of the distribution box perceived by the perception module; RH j RH is the ambient humidity of the distribution box in the operating environment parameters of the jth group of distribution boxes; norr C is the humidity judgment value of the distribution box fault environment; j is the ambient temperature of the distribution box in the operating environment parameters of the jth group of distribution boxes; C norr is the fault environment temperature judgment value of the distribution box; Pa j is the ambient atmospheric pressure of the distribution box in the operating environment parameters of the jth group of distribution boxes; ρ pm2.5-j G is the dust content in the distribution box environment of the jth group of distribution box operating environment parameters; j is the electromagnetic interference intensity of the distribution box environment in the jth group of distribution box operating environment parameters;

[0033] Among them, the larger the distribution box failure tendency performance value f is, the higher the probability of the distribution box failure caused by the distribution box environment is, and vice versa.

[0034] Furthermore, the diagnostic logic of the current fault probability of the distribution box in the first diagnostic module is expressed as:

[0035]

[0036] Where: K is the current failure probability of the distribution box; R max is the maximum risk value of the distribution box failure; R′ is the risk value of the distribution box failure; f max is the maximum performance value of the fault tendency of the distribution box; f is the performance value of the fault tendency of the distribution box; a is the weight;

[0037] Among them, the maximum risk value of distribution box failure R max and f max It is defined by the system end user, or the maximum distribution box failure risk value and distribution box failure tendency performance value obtained in the current system operation history are taken, and the weight a∈(0, 0.5].

[0038] Furthermore, the first diagnostic module is provided with submodules at a lower level, including:

[0039] An early warning unit is used to receive the current failure probability K of the distribution box output by the first diagnosis module, set a distribution box failure prediction threshold, and issue a distribution box failure early warning based on the comparison between the distribution box failure prediction threshold and the current failure probability K of the distribution box;

[0040] Among them, the operation of the early warning unit issuing a distribution box fault early warning is the operation that triggers the operation of the interactive module.

[0041] Furthermore, when the second diagnostic module records at least two groups of diagnostic results in the first diagnostic module, the second diagnostic module performs a diagnostic operation to determine whether the distribution box has a fault, and the diagnostic logic is:

[0042] The system traverses the latest at least two groups of diagnostic results of the first diagnostic module recorded internally based on the record time sequence. When the diagnostic results show a continuous upward trend based on the time sequence, it is diagnosed that there is a fault in the distribution box. Otherwise, the lower-level sub-module of the first diagnostic module controls the jump interaction module to run and feedback alarm information to the system end user.

[0043] Furthermore, the perception module is interactively connected to a control unit and a storage unit via a wireless network, the perception module is interactively connected to an analysis module, a first diagnostic module and a second diagnostic module via a wireless network, the first diagnostic module is interactively connected to an early warning unit via a wireless network, the second diagnostic module is interactively connected to an interaction module and a recording module via a wireless network, and the interaction module is interactively connected to the early warning unit via a wireless network.

[0044] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0045] The present invention provides a fault diagnosis system based on cloud management of distribution boxes. During operation, the system continuously analyzes the fault risks and fault tendencies of distribution boxes by collecting the operating status parameters and environmental parameters of the distribution boxes, thereby continuously diagnosing faults of the distribution boxes in combination with the two analysis results. The system has a certain prediction effect during the diagnosis process, so that the system has a certain predictability for the fault diagnosis of the distribution boxes. At the same time, the comprehensive diagnosis combining the operating status parameters and environmental parameters of the distribution boxes effectively improves the fault diagnosis accuracy of the distribution boxes, realizes remote fault management of the distribution boxes, and ensures the long-term and stable operation of the distribution boxes. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 The schematic diagram of the structure of a fault diagnosis system based on cloud management of distribution boxes. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0049] The present invention will be further described below in conjunction with the embodiments.

[0050] Embodiment 1:

[0051] A fault diagnosis system based on cloud management of distribution boxes in this embodiment, such as Figure 1 As shown, including:

[0052] A sensing module is used to sense the operating status parameters and environmental parameters of the distribution box;

[0053] The operating frequency set in the perception module obeys:

[0054]

[0055] Where: p is the operating frequency of the perception module in the next operating cycle; p0 is the base number of the perception module operating frequency setting; C 14:30 , C 6:30 The ambient temperature of the area where the distribution box is located at 14:30 and 6:30 in the current cycle; minC is the minimum perceived temperature difference in the area where the distribution box is located;

[0056] Among them, the base number p0 of the operating frequency setting of the sensing module is customized by the system end user, and the minimum perceived temperature difference minC of the area where the distribution box is located is customized by the system end user, or the historically known minimum perceived temperature difference of the area where the distribution box is located is used;

[0057] Through the above logic formula, the perception module is configured with a specified operating frequency, providing the perception module with continuous control operating conditions, so that the system can continuously provide remote fault diagnosis management services for the distribution box.

[0058] The perception module is equipped with submodules, including:

[0059] A control unit, used for receiving a sensing module operating frequency set in the sensing module, and controlling the sensing module to operate in real time in each operating cycle based on the sensing module operating frequency;

[0060] A storage unit is used to receive the distribution box operation status parameters and environmental parameters sensed by the sensing module in real time, and store the distribution box operation status parameters and environmental parameters;

[0061] Among them, after receiving the distribution box operating status parameters and environmental parameters, the storage unit distinguishes and stores the distribution box operating status parameters and environmental parameters, and each group of stored distribution box operating status parameters and environmental parameters are marked with a perception timestamp, and the distinguished and stored distribution box operating status parameters and environmental parameters are sorted and stored in their respective distinguished storage intervals based on the perception timestamps marked on each parameter;

[0062] An analysis module is used to receive the distribution box operation status parameters and environmental parameters sensed by the perception module, analyze the distribution box failure risk using the distribution box operation status parameters, and analyze the distribution box failure tendency using the distribution box operation environment parameters;

[0063] The analysis module runs in the storage unit deployed under the perception module to obtain the operating status parameters and environmental parameters of the distribution box, and analyzes the failure risk and failure tendency of the distribution box based on the operating status parameters and environmental parameters of the distribution box;

[0064] The logic of distribution box failure risk analysis is expressed as:

[0065]

[0066] Where: R(i) is the distribution box failure risk value reflected by the operating status parameters of the i-th group of distribution boxes; ΔU is the minimum difference between the voltage and the allowable voltage threshold; U is the voltage; ΔI is the minimum difference between the current and the allowable current threshold; I is the current; ΔT is the minimum difference between the temperature and the allowable temperature threshold; THD is the harmonic content; ΔB is the minimum difference between the power frequency magnetic field strength and the allowable power frequency magnetic field strength threshold; is the power factor; R′ is the fault risk value of the distribution box; n is the total amount of the operating status parameters of the distribution box; ω i is the weight;

[0067] The total amount n of the distribution box operating status parameters at least includes the distribution box operating status parameters sensed by the sensing module based on the operating frequency within an operating cycle. And each group weight ω i are all greater than zero, and the longer the time span of i corresponding to the perception timestamp is from 14:30 or 6:30, the greater ω i The larger the value;

[0068] The fault tendency analysis logic of the distribution box in the analysis module is expressed as:

[0069]

[0070] Where: f is the fault tendency performance value of the distribution box; m is the operating environment parameter of the distribution box perceived by the perception module; RH j RH is the ambient humidity of the distribution box in the operating environment parameters of the jth group of distribution boxes; norr C is the humidity judgment value of the distribution box fault environment; j is the ambient temperature of the distribution box in the operating environment parameters of the jth group of distribution boxes; C norr is the fault environment temperature judgment value of the distribution box; Pa j is the ambient atmospheric pressure of the distribution box in the operating environment parameters of the jth group of distribution boxes; ρ pm2.5-j G is the dust content in the distribution box environment of the jth group of distribution box operating environment parameters; j is the electromagnetic interference intensity of the distribution box environment in the jth group of distribution box operating environment parameters;

[0071] Among them, the larger the distribution box failure tendency performance value f is, the higher the probability of the distribution box failure caused by the distribution box environment is, and vice versa;

[0072] Through the above logical formula, the distribution box fault risk analysis logic and the distribution box fault tendency analysis logic are further limited, providing necessary operating parameter support for the system operation in this embodiment, ensuring that the diagnostic module can stably diagnose whether there is a fault in the distribution box and the foreseeable failure probability.

[0073] The first diagnosis module is used to receive the distribution box failure risk and distribution box failure tendency analysis results in the analysis module, and use the two sets of analysis results to diagnose the current failure probability of the distribution box;

[0074] The diagnostic logic of the current fault probability of the distribution box in the first diagnostic module is expressed as:

[0075]

[0076] Where: K is the current failure probability of the distribution box; R max is the maximum risk value of the distribution box failure; R′ is the risk value of the distribution box failure; f max is the maximum performance value of the fault tendency of the distribution box; f is the performance value of the fault tendency of the distribution box; a is the weight;

[0077] Among them, the maximum risk value of distribution box failure R max and f max It is defined by the system end user, or the maximum distribution box failure risk value and distribution box failure tendency performance value obtained in the current system operation history are taken, and the weight a∈(0, 0.5];

[0078] Through the above logic formula, the logic for obtaining the current fault probability of the distribution box in the first diagnosis module is limited to ensure that the current fault probability of the distribution box can be output in a specific digital form, providing a scaled data reference for system users and providing necessary operating parameter support for the operation of the second diagnosis module;

[0079] The first diagnostic module is provided with submodules at the lower level, including:

[0080] An early warning unit is used to receive the current failure probability K of the distribution box output by the first diagnosis module, set a distribution box failure prediction threshold, and issue a distribution box failure early warning based on the comparison between the distribution box failure prediction threshold and the current failure probability K of the distribution box;

[0081] The operation of the early warning unit issuing a distribution box fault early warning triggers the operation of the interactive module;

[0082] The second diagnosis module is used to record the current fault probability diagnosis result of the distribution box in the first diagnosis module, and diagnose whether there is a fault in the distribution box;

[0083] The interactive module is used to store the alarm information, obtain the diagnosis result in the second diagnosis module, and when the diagnosis result is yes, feedback the alarm information to the system end user;

[0084] A recording module is used to record the operation messages of the interaction module;

[0085] The interactive module is connected to the mobile computer device held by the system end user through a wireless network, and uses the mobile computer device as an interactive template to feedback alarm information, and the alarm information is audio data or text data customized by the system end user;

[0086] The perception module is interactively connected to a control unit and a storage unit via a wireless network. The perception module is interactively connected to an analysis module, a first diagnostic module and a second diagnostic module via a wireless network. The first diagnostic module is interactively connected to an early warning unit via a wireless network. The second diagnostic module is interactively connected to an interactive module and a recording module via a wireless network. The interactive module is interactively connected to the early warning unit via a wireless network.

[0087] In this embodiment, the perception module operates to perceive the operating status parameters and environmental parameters of the distribution box, the control unit synchronously receives the operating frequency of the perception module set in the perception module, and controls the perception module to operate in real time in each operating cycle based on the operating frequency of the perception module. The storage unit receives the operating status parameters and environmental parameters of the distribution box perceived by the perception module in real time, and stores the operating status parameters and environmental parameters of the distribution box. The analysis module further receives the operating status parameters and environmental parameters of the distribution box perceived by the perception module, and uses the operating status parameters of the distribution box to analyze the failure risk of the distribution box, and uses the operating environmental parameters of the distribution box to analyze the failure tendency of the distribution box. The first diagnostic module operates post-receiving the analysis The failure risk and failure tendency analysis results of the distribution box in the module are used to diagnose the current failure probability of the distribution box. The early warning unit synchronously receives the current failure probability K of the distribution box output in the first diagnosis module, sets the distribution box failure prediction threshold, and compares the distribution box failure prediction threshold with the current failure probability K of the distribution box to issue a distribution box failure warning. The second diagnosis module then records the current failure probability diagnosis result of the distribution box in the first diagnosis module, diagnoses whether there is a fault in the distribution box, stores the alarm information through the interaction module, obtains the diagnosis result in the second diagnosis module, and when the diagnosis result is yes, feeds back the alarm information to the system end user. Finally, the recording module is used to record the operation message of the interaction module.

[0088] Through the operation of the system in the above embodiment, a high-precision continuous fault diagnosis service is provided for the distribution box to realize the remote online management function of the distribution box fault, and in the fault diagnosis process, the diagnosis result has a certain degree of predictability, thereby providing effective predictive management for the distribution box.

[0089] Embodiment 2:

[0090] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The following is a further detailed description of a fault diagnosis system based on cloud management of distribution boxes in Example 1:

[0091] The sensing module operates to sense the distribution box operating status parameters including: voltage, current, power factor, temperature, harmonic content and power frequency magnetic field strength. The sensing module operates to sense the distribution box operating environment parameters including: temperature, humidity, dust content, atmospheric pressure, electromagnetic interference;

[0092] The sensing module is integrated with sensors that can sense the operating status parameters and environmental parameters of the corresponding distribution box. The sensors that sense the operating status parameters of the distribution box are deployed inside the distribution box, and the sensors that sense the operating environmental parameters of the distribution box are deployed in the machine room where the distribution box is located or in a circular area with a radius of 5m around the distribution box.

[0093] The sensing module operates in a 24-hour cycle. It senses the ambient temperature at 6:30 and 14:30 in each operating cycle. The operating frequency of the sensing module is set based on the sensed ambient temperature and applied to the next operating cycle.

[0094] Through the above settings, the perception module's operation of the distribution box operating status parameter content and the distribution box operating environment parameter content is further limited, ensuring that the system runs with comprehensive distribution box related parameters for fault diagnosis.

[0095] like Figure 1 As shown, when the second diagnostic module records at least two groups of diagnostic results in the first diagnostic module, it performs a diagnostic operation to determine whether there is a fault in the distribution box, and the diagnostic logic is:

[0096] The system traverses the latest at least two groups of diagnostic results of the first diagnostic module recorded internally based on the record time sequence. When the diagnostic results show a continuous upward trend based on the time sequence, it is diagnosed that there is a fault in the distribution box. Otherwise, the lower-level sub-module of the first diagnostic module controls the jump interaction module to run and feedback alarm information to the system end user.

[0097] Through the above settings, the second diagnostic module of the system in Example 1 is provided with a specified operating logic to ensure stable operation of the second diagnostic module and to accurately diagnose whether there is a fault in the distribution box.

[0098] In summary, during operation, the system in the above embodiment continuously analyzes the fault risks and fault tendencies of the distribution box by collecting the operating status parameters and environmental parameters of the distribution box, thereby combining the two analysis results to perform continuous fault diagnosis on the distribution box, and has a certain predictive effect in the diagnosis process, so that the system has a certain foresight for the fault diagnosis of the distribution box. At the same time, this comprehensive diagnosis combining the operating status parameters and environmental parameters of the distribution box effectively improves the fault diagnosis accuracy of the distribution box, realizes remote fault management of the distribution box, and ensures the long-term and stable operation of the distribution box.

[0099] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fault diagnosis system based on cloud management of distribution boxes, characterized in that: include: A sensing module is used to sense the operating status parameters and environmental parameters of the distribution box; An analysis module is used to receive the distribution box operation status parameters and environmental parameters sensed by the perception module, analyze the distribution box failure risk using the distribution box operation status parameters, and analyze the distribution box failure tendency using the distribution box operation environment parameters; The first diagnosis module is used to receive the distribution box failure risk and distribution box failure tendency analysis results in the analysis module, and use the two sets of analysis results to diagnose the current failure probability of the distribution box; The second diagnosis module is used to record the current fault probability diagnosis result of the distribution box in the first diagnosis module, and diagnose whether there is a fault in the distribution box; The interactive module is used to store the alarm information, obtain the diagnosis result in the second diagnosis module, and when the diagnosis result is yes, feedback the alarm information to the system end user; A recording module is used to record the operation messages of the interaction module; The interactive module is connected to the mobile computer device held by the system end user through a wireless network, and uses the mobile computer device as an interactive template to feedback alarm information, wherein the alarm information is audio data or text data customized by the system end user.

2. A fault diagnosis system based on cloud management of distribution boxes according to claim 1, characterized in that: The operating state parameters of the distribution box sensed by the sensing module include: voltage, current, power factor, temperature, harmonic content and power frequency magnetic field strength; the operating environment parameters of the distribution box sensed by the sensing module include: temperature, humidity, dust content, atmospheric pressure, and electromagnetic interference; The sensing module is integrated with sensors that can sense the operating status parameters and environmental parameters of the corresponding distribution box. The sensors that sense the operating status parameters of the distribution box are deployed in the distribution box, and the sensors that sense the operating environmental parameters of the distribution box are deployed in the machine room where the distribution box is located or in a circular area with a radius of 5m with the distribution box as the center; The sensing module operates in a 24-hour cycle. It senses the ambient temperature at 6:30 and 14:30 in each operating cycle. The operating frequency of the sensing module is set based on the sensed ambient temperature and applied to the next operating cycle.

3. A fault diagnosis system based on cloud management of distribution boxes according to claim 2, characterized in that: The operating frequency set in the perception module obeys: Where: p is the operating frequency of the perception module in the next operating cycle; p0 is the base number of the perception module operating frequency setting; C 14:30 , C 6:30 The ambient temperature of the area where the distribution box is located at 14:30 and 6:30 in the current cycle; minC is the minimum perceived temperature difference in the area where the distribution box is located; Among them, the base number p0 of the operating frequency setting of the perception module is customized by the system end user, and the minimum perceived temperature difference minC of the area where the distribution box is located is customized by the system end user, or the historically known minimum perceived temperature difference of the area where the distribution box is located is used.

4. A fault diagnosis system based on cloud management of distribution boxes according to claim 2, characterized in that: The perception module is provided with submodules at the lower level, including: A control unit, used for receiving a sensing module operating frequency set in the sensing module, and controlling the sensing module to operate in real time in each operating cycle based on the sensing module operating frequency; A storage unit is used to receive the distribution box operation status parameters and environmental parameters sensed by the sensing module in real time, and store the distribution box operation status parameters and environmental parameters; Among them, after receiving the operating status parameters and environmental parameters of the distribution box, the storage unit distinguishes and stores the operating status parameters and environmental parameters of the distribution box, and each group of stored operating status parameters and environmental parameters of the distribution box are marked with a perception timestamp. The distinguished and stored operating status parameters and environmental parameters of the distribution box are sorted and stored in their respective distinguished storage intervals based on the perception timestamps marked on each parameter.

5. A fault diagnosis system based on cloud management of distribution boxes according to claim 1, characterized in that: The analysis module runs in the storage unit deployed at the lower level of the perception module to obtain the operating status parameters and environmental parameters of the distribution box, and analyzes the failure risk and failure tendency of the distribution box based on the operating status parameters and environmental parameters of the distribution box; The distribution box failure risk analysis logic is expressed as: Where: R(i) is the distribution box failure risk value reflected by the operating status parameters of the i-th group of distribution boxes; ΔU is the minimum difference of voltage from the allowable voltage threshold; U is voltage; ΔI is the minimum difference of current from the allowable current threshold; I is current; ΔT is the minimum difference of temperature from the allowable temperature threshold; THD is harmonic content; ΔB is the minimum difference of power frequency magnetic field strength from the allowable power frequency magnetic field strength threshold; is the power factor; R′ is the fault risk value of the distribution box; n is the total amount of the operating status parameters of the distribution box; ω i is the weight; The total amount n of the distribution box operating status parameters at least includes the distribution box operating status parameters sensed by the sensing module based on the operating frequency within an operating cycle. And each group weight ω i are all greater than zero, and the longer the time span of i corresponding to the perception timestamp is from 14:30 or 6:30, the greater ω i The larger the value.

6. A fault diagnosis system based on cloud management of distribution boxes according to claim 5, characterized in that: The fault tendency analysis logic of the distribution box in the analysis module is expressed as follows: Where: f is the fault tendency performance value of the distribution box; m is the operating environment parameter of the distribution box perceived by the perception module; RH j RH is the ambient humidity of the distribution box in the operating environment parameters of the jth group of distribution boxes; norr C is the humidity judgment value of the distribution box fault environment; j is the ambient temperature of the distribution box in the operating environment parameters of the jth group of distribution boxes; C norr is the fault environment temperature judgment value of the distribution box; Pa j is the ambient atmospheric pressure of the distribution box in the operating environment parameters of the jth group of distribution boxes; ρ pm2.5-j G is the dust content in the distribution box environment of the jth group of distribution box operating environment parameters; j is the electromagnetic interference intensity of the distribution box environment in the jth group of distribution box operating environment parameters; Among them, the larger the distribution box failure tendency performance value f is, the higher the probability of the distribution box failure caused by the distribution box environment is, and vice versa.

7. A fault diagnosis system based on cloud management of distribution boxes according to claim 1, characterized in that: The diagnostic logic of the current fault probability of the distribution box in the first diagnostic module is expressed as: Where: K is the current failure probability of the distribution box; R max is the maximum risk value of the distribution box failure; R′ is the risk value of the distribution box failure; f max is the maximum performance value of the fault tendency of the distribution box; f is the performance value of the fault tendency of the distribution box; a is the weight; Among them, the maximum risk value of distribution box failure R max and f max It is defined by the system end user, or the maximum distribution box failure risk value and distribution box failure tendency performance value obtained in the current system operation history are taken, and the weight a∈(0, 0.5].

8. A fault diagnosis system based on cloud management of distribution boxes according to claim 1, characterized in that: The first diagnostic module is provided with submodules at a lower level, including: An early warning unit is used to receive the current failure probability K of the distribution box output by the first diagnosis module, set a distribution box failure prediction threshold, and issue a distribution box failure early warning based on the comparison between the distribution box failure prediction threshold and the current failure probability K of the distribution box; Among them, the operation of the early warning unit issuing a distribution box fault early warning is the operation that triggers the operation of the interactive module.

9. A fault diagnosis system based on cloud management of distribution boxes according to claim 1, characterized in that: When the second diagnostic module records at least two groups of diagnostic results in the first diagnostic module, it performs a diagnostic operation to determine whether the distribution box is faulty. The diagnostic logic is: The system traverses the latest at least two groups of diagnostic results of the first diagnostic module recorded internally based on the record time sequence. When the diagnostic results show a continuous upward trend based on the time sequence, it is diagnosed that there is a fault in the distribution box. Otherwise, the lower-level sub-module of the first diagnostic module controls the jump interaction module to run and feedback alarm information to the system end user.

10. A fault diagnosis system based on cloud management of distribution boxes according to claim 1, characterized in that: The perception module is interactively connected to a control unit and a storage unit via a wireless network, the perception module is interactively connected to an analysis module, a first diagnostic module and a second diagnostic module via a wireless network, the first diagnostic module is interactively connected to an early warning unit via a wireless network, the second diagnostic module is interactively connected to an interaction module and a recording module via a wireless network, and the interaction module is interactively connected to the early warning unit via a wireless network.

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