A circuit fault analysis intelligent power-off switch system and method

Abstract

The present invention discloses a circuit fault analysis intelligent power-off switch system and method, which belongs to the field of power-off switch technology, and includes an online acquisition module, a remote transmission module, a data diagnosis module, an intelligent management platform, a fault analysis module, and an information query module. In order to solve the problem that the prior art cannot timely and accurately confirm and make corresponding protection for the fault, cannot ensure the safety of electricity use, cannot timely make corresponding fault repair and maintenance, and the user equipment cannot be restored to a normal use state in time, the circuit fault analysis intelligent power-off switch system and method of the present invention, the intelligent management platform makes corresponding intelligent management, timely and accurately confirms the fault of the electrical equipment, and makes corresponding protection for the fault, ensures the safety of electricity use, enables the maintenance personnel to quickly understand the fault situation, and makes corresponding fault repair in time, ensures that the electrical equipment can be maintained in time, and enables the user equipment to resume work in time.

Description

Technical Field

[0001] The present invention relates to the technical field of power-off switches, and in particular to a circuit fault analysis intelligent power-off switch system and method. Background Art

[0002] The Chinese patent with publication number CN204089227U discloses a Hall intelligent power-off switch system, which belongs to the technical field of circuit control devices. It includes a Hall element, a transistor amplifier circuit, an inductor, an electromagnetic relay, a resistor and two power external interfaces; one of the pins of the inductor is connected to the power supply to be charged, and the other pin is connected to pin 4 of the electromagnetic relay; pin 1 of the electromagnetic relay is connected to the collector c of the transistor, and pins 16 and 11 of the electromagnetic relay are connected to the negative pole of the transformer; the emitter e of the transistor is connected to the positive pole of the transformer, the base b is connected to the Out pin of the Hall switch, the Vcc pin of the Hall switch is connected to the positive pole of the transformer, and the GND pin of the Hall switch is first connected to a resistor and then the resistor is connected to the negative pole of the transformer. It uses the electromagnetic conversion properties of the Hall switch to achieve the purpose of intelligent control circuit. Specifically, when the circuit is turned on, the mobile power supply is charged, and when the charging power supply is full, the current is zero, the charging circuit is disconnected, and the mobile power supply is protected. However, the above patent has the following defects:

[0003] 1. Failure to promptly and accurately identify faults in electrical equipment and provide corresponding protection against the faults, thus failing to ensure the safety of electricity use;

[0004] 2. Failure to promptly carry out corresponding fault repairs and maintenance on electrical equipment causes the user's equipment to be unable to return to normal use in a timely manner. Summary of the invention

[0005] The purpose of the present invention is to provide a circuit fault analysis intelligent power-off switch system and method, which can promptly and accurately identify the fault of electrical equipment and make corresponding protection for the fault to ensure the safety of electricity use, so that maintenance personnel can quickly understand the fault situation and make corresponding fault repairs in time, ensure that electrical equipment can be maintained in time, and enable user equipment to resume work in time, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An intelligent power-off switch system for circuit fault analysis includes an online acquisition module, a remote transmission module and a data diagnosis module, wherein:

[0008] The online acquisition module is used to collect online usage status information of the electrical equipment, wherein the online collected usage status information includes current and voltage parameters of the electrical equipment in the usage state and leakage parameters of the electrical equipment, and the usage status information is remotely transmitted to the data diagnosis module through the remote transmission module after online collection;

[0009] The remote transmission module is used to establish a link between the online acquisition module and the data diagnosis module. After the online acquisition module and the data diagnosis module establish a data transmission link, the use status information collected online by the online acquisition module is completely and accurately transmitted to the data diagnosis module;

[0010] The data diagnosis module is used to perform data diagnosis on the transmitted usage status information, and the data diagnosis method is to extract signal features through signal processing, perform corresponding diagnosis on the signal features, determine the fault type of the electrical equipment, and transmit the diagnosed fault type to the intelligent management platform;

[0011] When the remote transmission module establishes a link between the online acquisition module and the data diagnosis module, it uses the TCP protocol for data transmission, and performs the following operations:

[0012] The online acquisition module requests the physical address of the data diagnosis module, sends an encrypted file to the data diagnosis module, and waits for confirmation from the data diagnosis module;

[0013] After receiving the encrypted file sent by the online acquisition module, the data diagnosis module provides a confirmation file and sends the confirmation file back to the online acquisition module;

[0014] After the online acquisition module receives the confirmation file sent by the data diagnosis module, it sends the decryption file to the data diagnosis module. After the data diagnosis module receives the decryption file, the data transmission ends.

[0015] Furthermore, it also includes an intelligent management platform, a fault analysis module and an information query module, wherein:

[0016] The intelligent management platform is used to intelligently manage the power-off switch system, comprehensively regulate the power-off switch system, and transmit the received fault type to the fault analysis module, so that the fault type is maintained and managed accordingly according to the fault analysis situation;

[0017] The fault analysis module is used to analyze the diagnosed fault type in detail, and determine the cause of the fault with reference to historical information and call the corresponding maintenance strategy;

[0018] The information query module is used to provide a corresponding algorithm for fault analysis, and the information query module stores a variety of fault causes and strategies for solving the fault causes.

[0019] Furthermore, the online collection module collects the usage status information of the electric device online and performs the following operations:

[0020] The current sensor is connected to the power supply circuit of the power-consuming device, and the current sensor is used to collect the power supply current of the power-consuming device in the use state online, which is recorded as I1;

[0021] The voltage sensor is connected to the power supply circuit of the power-consuming device, and the voltage sensor is used to collect the power supply voltage of the power-consuming device in the use state online, which is recorded as U1;

[0022] The leakage detector is connected to the neutral line of the electrical equipment. The leakage detector is used to collect the neutral line current of the electrical equipment in real time when it is in use, which is recorded as I2;

[0023] After the current sensor, voltage sensor and leakage detector collect the information online in real time, the collected usage status information is transmitted to the data diagnosis module in real time, and the data diagnosis module performs data diagnosis on the usage status information to determine the fault situation;

[0024] The online collection module collects the usage status information of the electrical equipment online, and also includes:

[0025] The device information acquisition unit is used to acquire the device information of the data collection point, wherein the device information of the data point includes: current collection device information, voltage collection device information, and power equipment leakage collection device information;

[0026] The acquisition node generation unit is used to generate a first data acquisition node based on the current acquisition device information, and at the same time, determine the first data acquisition feature of the current acquisition device, and determine the first data acquisition format based on the first data acquisition feature; generate a second data acquisition node based on the voltage acquisition device information, and at the same time, determine the second data acquisition feature of the voltage acquisition device, and determine the second data acquisition format based on the second data acquisition feature; generate a third data acquisition node based on the power equipment leakage acquisition device information, and at the same time, determine the third data acquisition feature of the power equipment leakage acquisition device, and determine the third data acquisition format based on the third data acquisition feature;

[0027] a data management mechanism determining unit, configured to determine a data management mechanism based on the first data collection format, the second data collection format, and the third data collection format, respectively;

[0028] A node setting unit, used for setting data monitoring nodes and data aggregation nodes based on the data management mechanism;

[0029] a node identification determination unit, used to respectively determine a first node identification of the first data acquisition node, a second node identification of the second data acquisition node, and a third node identification of the third data acquisition node, and at the same time, determine a fourth node identification of the data monitoring node and a fifth node identification of the data aggregation node;

[0030] A first network generating unit is configured to determine a first association relationship between the first node identifier, the second node identifier, the third node identifier, and the fourth node identifier, wherein the first association relationship includes: a node data transmission direction and a node branch between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node, and at the same time, a first network between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node is established respectively according to the first association relationship;

[0031] A second network generating unit is configured to establish a second network between the data monitoring node and the data aggregation node according to a second association relationship between the fourth node and the fifth node, wherein the second association relationship includes: a node data transmission direction and a node branch between the data monitoring node and the data aggregation node;

[0032] An information collection network generating unit, configured to generate an information collection network for the usage status information of the electric device according to the first network and the second network;

[0033] A data collection unit is used to perform a security check on the usage status information of the collected power equipment based on the monitoring node in the first network of the information collection network, and to perform a completeness check on the usage status information of the collected power equipment when the usage status information of the collected power equipment is safe; and at the same time, when the usage status information of the collected power equipment is complete, to summarize the usage status information of the collected power equipment based on the data summary node in the second network.

[0034] Furthermore, when the data diagnosis module diagnoses the data information, the following operations are performed:

[0035] The data extraction unit extracts key signal features from the received data information, and transmits the extracted key signal features to the feature division unit;

[0036] The feature classification unit performs feature classification on the received key signal features, determines feature categories, and transmits the classified feature categories to the diagnosis comparison unit;

[0037] The diagnostic comparison unit performs diagnostic comparison on the received feature categories and with reference to the feature storage unit, diagnoses the fault type, and transmits the fault type of the faulty electrical equipment to the intelligent management platform for intelligent management of the faulty electrical equipment.

[0038] Furthermore, in the online collection module, the online collection of the usage status information of the electrical equipment also includes:

[0039] The device information acquisition unit is used to acquire the device information of the data collection point, wherein the device information of the data point includes: current collection device information, voltage collection device information, and power equipment leakage collection device information;

[0040] The acquisition node generation unit is used to generate a first data acquisition node based on the current acquisition device information, and at the same time, determine the first data acquisition feature of the current acquisition device, and determine the first data acquisition format based on the first data acquisition feature; generate a second data acquisition node based on the voltage acquisition device information, and at the same time, determine the second data acquisition feature of the voltage acquisition device, and determine the second data acquisition format based on the second data acquisition feature; generate a third data acquisition node based on the power equipment leakage acquisition device information, and at the same time, determine the third data acquisition feature of the power equipment leakage acquisition device, and determine the third data acquisition format based on the third data acquisition feature;

[0041] a data management mechanism determining unit, configured to determine a data management mechanism based on the first data collection format, the second data collection format, and the third data collection format, respectively;

[0042] A node setting unit, used for setting data monitoring nodes and data aggregation nodes based on the data management mechanism;

[0043] a node identification determination unit, used to respectively determine a first node identification of the first data acquisition node, a second node identification of the second data acquisition node, and a third node identification of the third data acquisition node, and at the same time, determine a fourth node identification of the data monitoring node and a fifth node identification of the data aggregation node;

[0044] A first network generating unit is configured to determine a first association relationship between the first node identifier, the second node identifier, the third node identifier, and the fourth node identifier, wherein the first association relationship includes: a node data transmission direction and a node branch between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node, and at the same time, a first network between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node is established respectively according to the first association relationship;

[0045] A second network generating unit is configured to establish a second network between the data monitoring node and the data aggregation node according to a second association relationship between the fourth node and the fifth node, wherein the second association relationship includes: a node data transmission direction and a node branch between the data monitoring node and the data aggregation node;

[0046] An information collection network generating unit, configured to generate an information collection network for the usage status information of the electric device according to the first network and the second network;

[0047] A data collection unit is used to perform a security check on the usage status information of the collected power equipment based on the monitoring node in the first network of the information collection network, and to perform a completeness check on the usage status information of the collected power equipment when the usage status information of the collected power equipment is safe; and at the same time, when the usage status information of the collected power equipment is complete, to summarize the usage status information of the collected power equipment based on the data summary node in the second network.

[0048] Furthermore, the intelligent management platform performs the following operations:

[0049] After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, it makes corresponding intelligent management for the specific fault type, guides the fault analysis module to analyze the fault type and make intelligent strategies.

[0050] Furthermore, the fault analysis module performs the following operations when analyzing the fault type:

[0051] After receiving the fault type transmitted by the intelligent management platform, the fault confirmation unit confirms the fault type. When confirming the fault type, the fault confirmation unit calculates the fault type, checks the authenticity of the fault type, and feeds back the checking result to the analysis execution unit;

[0052] The analysis execution unit receives the inspection result transmitted by the fault confirmation unit and executes corresponding instructions on the inspection result. If the fault type is confirmed to be consistent, the analysis execution unit transmits instructions to the safety maintenance unit. If the fault type is confirmed to be inconsistent, the analysis execution unit transmits instructions to the analysis identification unit. After the analysis identification unit identifies the fault type again, the safety maintenance unit performs safety maintenance on the fault type.

[0053] After receiving the instruction transmitted by the analysis execution unit, the analysis and identification unit analyzes and identifies the fault type again, corrects the original fault cause, and identifies the real fault of the electrical equipment;

[0054] After receiving the instruction transmitted by the analysis and execution unit, the safety maintenance unit calls the corresponding maintenance strategy to the information query module according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment.

[0055] Furthermore, the security maintenance unit calls the historical information stored in the information query module and performs the following operations:

[0056] After the guidance calling unit receives the instruction transmitted by the safety maintenance unit, the guidance calling unit finds the corresponding fault type storage unit in the information query module according to the fault type, and calls out the corresponding fault maintenance strategy stored in the fault type storage unit;

[0057] After the maintenance strategy is called, the called maintenance strategy is fed back to the intelligent management platform. The intelligent management platform makes further responses according to the maintenance strategy and performs maintenance on the electrical equipment with storage faults.

[0058] Furthermore, when performing maintenance on the electrical equipment, the safety maintenance unit intelligently disconnects the circuit connection of the electrical equipment and transmits maintenance instructions to the maintenance personnel via the wireless network, wherein the maintenance instructions include the cause of the fault and a strategy for resolving the fault.

[0059] According to another aspect of the present invention, a fault analysis intelligent power-off method of a circuit fault analysis intelligent power-off switch system is provided, comprising the following steps:

[0060] S1: The online acquisition module collects the usage status information of the electrical equipment online, and uploads the collected current, voltage parameters and leakage parameters of the electrical equipment in the usage status to the data diagnosis module through the remote transmission module;

[0061] S2: The data diagnosis module performs data diagnosis on the transmitted usage status information, determines the fault type of the electrical equipment, and transmits the diagnosed fault type to the intelligent management platform. After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type;

[0062] S3: After receiving the fault type transmitted by the intelligent management platform, the fault analysis module confirms the fault type, verifies the authenticity of the fault type, calls the corresponding maintenance strategy according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment.

[0063] Furthermore, in S2, before the data diagnosis module performs data diagnosis on the transmitted usage status information and determines the fault type of the electrical equipment, it also includes:

[0064] Establishing a fault verification database in the data diagnosis model, the specific steps are:

[0065] S201: Collecting a fault data set of an electric device, and determining an initial cluster table based on the fault data set;

[0066] S202: Analyze the initial cluster table to determine data features of the initial fault cluster table, and classify the initial fault cluster table based on the data features to obtain multiple sub-fault data clusters;

[0067] S203: Calculate the cluster centroid of each sub-fault data cluster in the multiple sub-fault data clusters according to the following formula;

[0068]

[0069] Among them, ω n represents the centroid of the nth sub-fault data cluster; j represents the n The current data point in the fault cluster ω n Total data points in s j Denotes the fault cluster ω n The weight of the jth data point in ; δ represents the calculation factor, and its value range is (0.99, 1.02); dis j Indicates that in the fault cluster ω n The metric value corresponding to the jth data point in ;

[0070] S204: Calculating the sum of square errors of each sub-fault data cluster based on the cluster centroid of each sub-fault data cluster;

[0071] ξ n =∑(ω n -dis j ) 2

[0072] Among them, ξ n represents the error sum of squares of the nth sub-fault data cluster;

[0073] S205: comparing the error sum of each sub-fault data cluster with a set threshold value to determine whether to continue classifying the sub-fault data cluster;

[0074] When the error square sum is less than or equal to the set threshold, there is no need to further classify the sub-fault data cluster;

[0075] Otherwise, continue classification based on the cluster centroid of the sub-fault data cluster;

[0076] S206: Based on the classification result, each sub-fault data cluster generates a corresponding equipment fault type. At the same time, the sub-fault data clusters are clustered to generate a fault verification database. When the usage status information is transmitted, the usage status information is subjected to fault analysis based on the fault verification database.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] 1. The circuit fault analysis intelligent power-off switch system and method of the present invention, the online acquisition module collects online the current parameters, voltage parameters and leakage parameters of the electrical equipment in the use state. After the parameters are collected, the parameter information collected in real time is uploaded to the remote transmission module, which is convenient for diagnosing the collected parameter information and identifying the fault situation. The various parameter information collected in real time by the online acquisition module is transmitted to the data diagnosis module completely and accurately through the remote transmission module to ensure the integrity of data transmission. The data diagnosis module performs data diagnosis on the transmitted use status information, determines the fault type of the electrical equipment, and transmits the diagnosed fault type to the intelligent management platform. After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type, promptly and accurately confirms the fault of the electrical equipment, and makes corresponding protection for the fault to ensure the safety of electricity use.

[0079] 2. The circuit fault analysis intelligent power-off switch system and method of the present invention, after the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type, guides the fault analysis module to analyze the fault type and make intelligent strategies, after the fault analysis module receives the fault type transmitted by the intelligent management platform, confirms the fault type, checks the authenticity of the fault type, calls out the corresponding maintenance strategy stored in the information query module for the fault type, performs corresponding power safety maintenance on the faulty electrical equipment, when maintaining the electrical equipment, intelligently disconnects the circuit connection of the electrical equipment, and transmits maintenance instructions to the maintenance personnel via the wireless network, wherein the maintenance instructions include the cause of the fault and the strategy for solving the fault, so that the maintenance personnel can quickly understand the fault situation and make corresponding fault repairs in time, to ensure that the electrical equipment can be maintained in time, and the user's equipment can be restored to work in time.

[0080] 3. The security and integrity of data collection are improved by performing security verification and data integrity verification on the usage status information of the collected electrical equipment through the first network. The intelligence of the collection is improved by collecting the usage status information through the second network. Therefore, by building an information collection network, the management efficiency of data collection is improved and the quality of data collection is improved.

[0081] 4. By determining the data characteristics, the initial cluster table corresponding to the fault data set of the electrical equipment is classified to determine multiple sub-fault data clusters. By calculating the sum of square errors of multiple sub-fault data clusters, it is determined whether the sub-fault data clusters need to be further classified, thereby improving the accuracy of classification. The fault verification database is determined based on the sub-fault data clusters, thereby providing a data analysis basis for data diagnosis using status information, greatly improving the efficiency and accuracy of fault analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 The schematic diagram of the circuit fault analysis intelligent power-off switch system of the present invention;

[0083] Figure 2 A system diagram of the circuit fault analysis intelligent power-off switch system of the present invention;

[0084] Figure 3 is a schematic diagram of a data diagnosis module of the present invention;

[0085] Figure 4 is a schematic diagram of a fault analysis module of the present invention;

[0086] Figure 5 This is a flow chart of the fault analysis intelligent power-off method of the present invention. DETAILED DESCRIPTION

[0087] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 creative work are within the scope of protection of the present invention.

[0088] Embodiment 1

[0089] See also Figure 1 , a circuit fault analysis intelligent power-off switch system, including an online acquisition module, a remote transmission module and a data diagnosis module, performs the following operations:

[0090] S11: The online acquisition module collects the current parameters, voltage parameters and leakage parameters of the electrical equipment in use online. After the parameters are collected, the real-time collected parameter information is uploaded to the remote transmission module to facilitate diagnosis of the collected parameter information and identification of fault conditions;

[0091] S12: The remote transmission module establishes a data transmission link between the online acquisition module and the data diagnosis module, so that various parameter information collected in real time by the online acquisition module is completely and accurately transmitted to the data diagnosis module, thereby ensuring the integrity of data transmission;

[0092] S13: The data diagnosis module performs data diagnosis on the various parameter information transmitted, extracts signal features through signal processing, performs corresponding diagnosis on the signal features, determines the fault type of the electrical equipment, and transmits the diagnosed fault type to the intelligent management platform.

[0093] It should be noted that the online acquisition module collects the current parameters, voltage parameters and leakage parameters of the electrical equipment online, and records the collected parameters to facilitate subsequent data diagnosis. The situations in which the parameters of the electrical equipment are collected can be divided into the following categories:

[0094] (1) Collection of current parameters

[0095] The current sensor is used to collect the current of the electrical equipment in use online, which is recorded as I1;

[0096] (2) Collection of voltage parameters

[0097] A voltage sensor is used to collect the power-on voltage of the electrical equipment in use online, which is recorded as U1;

[0098] (3) Collection of leakage parameters of electrical equipment

[0099] Use a leakage detector to collect the neutral current of the electrical equipment when it is in use, recorded as I2;

[0100] After the current sensor, voltage sensor and leakage detector collect data online in real time, the collected usage status information is transmitted to the data diagnosis module in real time. The data diagnosis module performs data diagnosis on the usage status information to determine the fault situation.

[0101] See also Figure 2 It should be noted that when the remote transmission module establishes a link between the online acquisition module and the data diagnosis module, the steps of using the TCP protocol for data transmission are as follows:

[0102] S121: the online acquisition module requests to obtain the physical address of the data diagnosis module, and sends the encrypted file to the data diagnosis module, waiting for confirmation by the data diagnosis module;

[0103] S122: After receiving the encrypted file sent by the online acquisition module, the data diagnosis module provides a confirmation file and sends the confirmation file back to the online acquisition module;

[0104] S123: After receiving the confirmation file sent by the data diagnosis module, the online acquisition module sends the decryption file to the data diagnosis module. After the data diagnosis module receives the decryption file, the data transmission ends.

[0105] See also Figure 3It should be noted that the steps for the data diagnosis module to diagnose the collected parameter information are as follows:

[0106] S131: The data extraction unit extracts key signal features from the received parameter information, extracts whether the parameter information belongs to current parameters, voltage parameters or leakage parameters of electrical equipment, and transmits the extracted key signal features to the feature division unit;

[0107] S132: The feature classification unit performs feature classification on the received key signal features, determines feature categories, and transmits the classified feature categories to the diagnosis comparison unit;

[0108] S133: The diagnostic comparison unit performs diagnostic comparison on the received feature categories and with reference to the feature storage unit, diagnoses the fault type, and transmits the fault type of the faulty electrical equipment to the intelligent management platform to perform intelligent management on the faulty electrical equipment.

[0109] It should be noted that the characteristic storage unit stores the current threshold, voltage threshold or leakage threshold of the electrical equipment when the electrical equipment is in normal use. According to the collected current parameters, voltage parameters and leakage parameters of the electrical equipment and in comparison with the set current threshold, voltage threshold or leakage threshold of the electrical equipment, a corresponding diagnosis is made. The diagnosis situations can be divided into the following categories:

[0110] (1) Diagnosis of current parameters, as shown in Table 1

[0111] The current parameter collected in real time is recorded as I1, and the set current threshold is recorded as I;

[0112] If I1>4I, the data diagnosis module diagnoses that the electrical equipment is in a short-circuit state and starts intelligent power-off;

[0113] Table 1: Diagnostic scenarios for current parameters

[0114] Current parameter I1 Current threshold I Diagnostic Situation 6.2A 1.5A The electrical equipment is in short circuit state, and the intelligent power off is activated 3.4A 1.5A Electrical equipment is in normal use

[0115] (2) Diagnosis of voltage parameters, as shown in Table 2

[0116] The voltage parameter collected in real time is recorded as U1, and the set voltage threshold is recorded as U;

[0117] If U1>U, the data diagnosis module diagnoses that the electrical equipment is in a fault state and starts intelligent power off;

[0118] Table 2: Diagnostic scenarios for voltage parameters

[0119] Voltage parameter U1 Voltage threshold U Diagnostic Situation 270V 250V The electrical equipment is in a fault state, and the intelligent power off is activated 220V 250V Electrical equipment is in normal use

[0120] (2) Diagnosis of leakage parameters of electrical equipment, as shown in Table 3

[0121] The leakage parameter of the electric equipment collected in real time is recorded as I2, and the set leakage threshold of the electric equipment is recorded as I3;

[0122] If I2>I3, the data diagnosis module diagnoses that the electrical equipment is in a state of leakage and starts intelligent power off;

[0123] Table 3: Diagnostic scenarios of leakage parameters of electrical equipment

[0124]

[0125] Embodiment 2

[0126] See also Figure 4 , a circuit fault analysis intelligent power-off switch system, also includes an intelligent management platform, a fault analysis module and an information query module, and performs the following operations:

[0127] S14: After receiving the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type, instructs the fault analysis module to analyze the fault type and make intelligent strategies;

[0128] S15: After receiving the fault type transmitted by the intelligent management platform, the fault analysis module confirms the fault type, checks the authenticity of the fault type, and calls out the corresponding maintenance strategy stored in the information query module according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment;

[0129] S16: When performing maintenance on electrical equipment, the circuit connection of the electrical equipment is intelligently disconnected, and maintenance instructions are transmitted to maintenance personnel via a wireless network, wherein the maintenance instructions include the cause of the fault and a strategy for resolving the fault, so that the maintenance personnel can quickly understand the fault situation and make corresponding fault repairs in a timely manner.

[0130] It should be noted that the steps of analyzing the fault type by the fault analysis module are as follows:

[0131] S151: After receiving the fault type transmitted by the intelligent management platform, the fault confirmation unit confirms the fault type, calculates the fault type, checks the authenticity of the fault type, and feeds back the checking result to the analysis execution unit;

[0132] S152: the analysis execution unit receives the inspection result transmitted by the fault confirmation unit and executes a corresponding instruction on the inspection result. If the fault type is confirmed to be consistent, the analysis execution unit transmits an instruction to the safety maintenance unit. If the fault type is confirmed to be inconsistent, the analysis execution unit transmits an instruction to the analysis identification unit. After the analysis identification unit identifies the fault type again, the safety maintenance unit performs safety maintenance on the fault type.

[0133] S153: After receiving the instruction transmitted by the analysis execution unit, the analysis and identification unit performs analysis and identification again according to the fault type, corrects the original fault cause, and identifies the real fault of the electrical equipment;

[0134] S154: After receiving the instruction transmitted by the analysis and execution unit, the safety maintenance unit calls the corresponding maintenance strategy to the information query module according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment.

[0135] It should be noted that the steps for the security maintenance unit to call the historical information stored in the information query module are:

[0136] S1541: After receiving the instruction transmitted by the safety maintenance unit, the guidance calling unit searches for the corresponding fault type storage unit in the information query module according to the fault type, and calls out the corresponding fault maintenance strategy stored in the fault type storage unit;

[0137] S1542: After the maintenance strategy is called, the called maintenance strategy is fed back to the intelligent management platform. The intelligent management platform makes further responses according to the maintenance strategy, performs maintenance on the electrical equipment with storage faults, intelligently disconnects the circuit connection of the electrical equipment, and transmits maintenance instructions to maintenance personnel through the wireless network, where the maintenance instructions include the cause of the fault and the strategy for resolving the fault.

[0138] Embodiment 3

[0139] See also Figure 5 In order to better demonstrate the fault analysis intelligent power-off process of the circuit fault analysis intelligent power-off switch system, this embodiment now proposes a fault analysis intelligent power-off method of the circuit fault analysis intelligent power-off switch system, including the following steps:

[0140] S1: The online acquisition module collects the usage status information of the electrical equipment online, and uploads the collected current, voltage parameters and leakage parameters of the electrical equipment in the usage status to the data diagnosis module through the remote transmission module;

[0141] S2: The data diagnosis module performs data diagnosis on the transmitted usage status information, determines the fault type of the electrical equipment, and transmits the diagnosed fault type to the intelligent management platform. After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type;

[0142] S3: After receiving the fault type transmitted by the intelligent management platform, the fault analysis module confirms the fault type, verifies the authenticity of the fault type, calls the corresponding maintenance strategy according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment.

[0143] In summary, the circuit fault analysis intelligent power-off switch system and method of the present invention, the online acquisition module collects online the current parameters, voltage parameters and leakage parameters of the electrical equipment in the use state, and after the parameters are collected, the parameter information collected in real time is uploaded to the remote transmission module, so as to diagnose the collected parameter information and identify the fault situation. Through the remote transmission module, the various parameter information collected in real time by the online acquisition module is completely and accurately transmitted to the data diagnosis module to ensure the integrity of data transmission. The data diagnosis module performs data diagnosis on the transmitted use status information, determines the fault type of the electrical equipment, and transmits the diagnosed fault type to the intelligent management platform. After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type, promptly and accurately confirms the fault of the electrical equipment, and makes corresponding measures for the fault. Protection, to ensure the safety of electricity use, after the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type, guides the fault analysis module to analyze the fault type and make intelligent strategies, after the fault analysis module receives the fault type transmitted by the intelligent management platform, it confirms the fault type, checks the authenticity of the fault type, and calls out the corresponding maintenance strategy stored in the information query module for the fault type, and performs corresponding electricity safety maintenance on the faulty electrical equipment. When maintaining the electrical equipment, the circuit connection of the electrical equipment is intelligently disconnected, and maintenance instructions are transmitted to the maintenance personnel through the wireless network, where the maintenance instructions include the cause of the fault and the strategy for solving the fault, so that the maintenance personnel can quickly understand the fault situation and make corresponding fault repairs in time, to ensure that the electrical equipment can be maintained in time and the user's equipment can be restored to work in time.

[0144] Embodiment 4

[0145] On the basis of the first embodiment, this embodiment provides a circuit fault analysis intelligent power-off switch system, wherein the online acquisition module collects the use status information of the electrical equipment online, and further includes:

[0146] The device information acquisition unit is used to acquire the device information of the data collection point, wherein the device information of the data point includes: current collection device information, voltage collection device information, and power equipment leakage collection device information;

[0147] The acquisition node generation unit is used to generate a first data acquisition node based on the current acquisition device information, and at the same time, determine the first data acquisition feature of the current acquisition device, and determine the first data acquisition format based on the first data acquisition feature; generate a second data acquisition node based on the voltage acquisition device information, and at the same time, determine the second data acquisition feature of the voltage acquisition device, and determine the second data acquisition format based on the second data acquisition feature; generate a third data acquisition node based on the power equipment leakage acquisition device information, and at the same time, determine the third data acquisition feature of the power equipment leakage acquisition device, and determine the third data acquisition format based on the third data acquisition feature;

[0148] a data management mechanism determining unit, configured to determine a data management mechanism based on the first data collection format, the second data collection format, and the third data collection format, respectively;

[0149] A node setting unit, used for setting data monitoring nodes and data aggregation nodes based on the data management mechanism;

[0150] a node identification determination unit, used to respectively determine a first node identification of the first data acquisition node, a second node identification of the second data acquisition node, and a third node identification of the third data acquisition node, and at the same time, determine a fourth node identification of the data monitoring node and a fifth node identification of the data aggregation node;

[0151] A first network generating unit is configured to determine a first association relationship between the first node identifier, the second node identifier, the third node identifier, and the fourth node identifier, wherein the first association relationship includes: a node data transmission direction and a node branch between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node, and at the same time, a first network between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node is established respectively according to the first association relationship;

[0152] A second network generating unit is configured to establish a second network between the data monitoring node and the data aggregation node according to a second association relationship between the fourth node and the fifth node, wherein the second association relationship includes: a node data transmission direction and a node branch between the data monitoring node and the data aggregation node;

[0153] An information collection network generating unit, configured to generate an information collection network for the usage status information of the electric device according to the first network and the second network;

[0154] A data collection unit is used to perform a security check on the usage status information of the collected power equipment based on the monitoring node in the first network of the information collection network, and to perform a completeness check on the usage status information of the collected power equipment when the usage status information of the collected power equipment is safe; and at the same time, when the usage status information of the collected power equipment is complete, to summarize the usage status information of the collected power equipment based on the data summary node in the second network.

[0155] In this embodiment, the data collection point equipment information can be: current collection equipment information, voltage collection equipment information, and electrical equipment leakage collection equipment information, wherein the current collection equipment information includes: information on current data collection of electrical equipment, which is related to the nature of the current, such as the signal acquisition of the current sensor; the voltage collection equipment information includes information on voltage data collection of electrical equipment, which is related to the nature of the voltage, such as the signal acquisition of the voltage sensor; the electrical equipment leakage collection equipment information includes: information on the leakage status of the electrical equipment, such as the signal acquisition of the leakage collector.

[0156] In this embodiment, the first data acquisition node is used to collect current data of the electrical equipment in use, the second data acquisition node is used to collect voltage data of the electrical equipment in use, and the third data node is used to collect leakage parameter data of the electrical equipment in use.

[0157] In this embodiment, due to the different types of collected data, the collected features are also different. Therefore, the first data collection feature is used to collect current data, the second data collection feature is used to collect voltage data, and the third data collection feature is used to collect leakage parameter data.

[0158] In this embodiment, the acquisition format is determined based on the data acquisition characteristics. For example, when the data acquisition characteristics are characteristics of collecting current data, the acquisition format is: regarding the first acquisition format of current, the format can be to record the current value through the format of a data table, or to record the current value through waveform changes.

[0159] In this embodiment, the data management mechanism may be a mechanism for managing current data, voltage data, and leakage parameter data.

[0160] In this embodiment, the data monitoring node may be used to perform data security verification and data integrity detection on the data corresponding to the collected usage status information.

[0161] In this embodiment, the data aggregation node may be a node used to aggregate the data monitored by the data monitoring node.

[0162] In this embodiment, the first association relationship may be a correspondence between the first node identifier, the second node identifier, and the third node identifier and the fourth node identifier, respectively, to establish the first network,

[0163] In this embodiment, the first network is a network used to perform security verification and integrity check on the data collected by the first data collection node, the second data collection node, and the third data collection node.

[0164] In this embodiment, the second association relationship may be a correspondence relationship between the fourth node identifier and the fifth node identifier, which is used to establish the second network.

[0165] In this embodiment, the second network may be a network used to aggregate data.

[0166] The working principle of the above technical solution is: by determining the data acquisition device information, and then constructing the first data acquisition node, the second data acquisition node and the third data acquisition node, by determining the data management mechanism, the data monitoring node and the data aggregation node are set, and the first network is constructed through the first data acquisition node and the second data acquisition node based on the third data acquisition node and the data monitoring node, and the second network is constructed through the data monitoring node and the data aggregation node, so as to generate an information collection network according to the first network and the second network, so as to realize the monitoring and collection of the usage status information of the electrical equipment.

[0167] The working effect of the above technical solution is: the security and data integrity of the collected usage status information of the electrical equipment are verified through the first network, thereby improving the security and integrity of data collection, and the collection of usage status information through the second network improves the intelligence of the collection. Therefore, by building an information collection network, the management efficiency of data collection is improved and the quality of data collection is improved.

[0168] Embodiment 5

[0169] On the basis of the first embodiment, this embodiment provides a fault analysis intelligent power-off method for a circuit fault analysis intelligent power-off switch system. In S2, before the data diagnosis module performs data diagnosis on the transmitted usage status information and determines the fault type of the electrical equipment, it also includes:

[0170] Establishing a fault verification database in the data diagnosis model, the specific steps are:

[0171] S201: Collecting a fault data set of an electric device, and determining an initial cluster table based on the fault data set;

[0172] S202: Analyze the initial cluster table to determine data features of the initial fault cluster table, and classify the initial fault cluster table based on the data features to obtain multiple sub-fault data clusters;

[0173] S203: Calculate the cluster centroid of each sub-fault data cluster in the multiple sub-fault data clusters according to the following formula;

[0174]

[0175] Among them, ω n represents the centroid of the nth sub-fault data cluster; j represents the n The current data point in the fault cluster ω n Total data points in s j Denotes the fault cluster ω n The weight of the jth data point in ; δ represents the calculation factor, and its value range is (0.99, 1.02); dis j Indicates that in the fault cluster ω n The metric value corresponding to the jth data point in ;

[0176] S204: Calculating the sum of square errors of each sub-fault data cluster based on the cluster centroid of each sub-fault data cluster;

[0177] ξ n =∑(ω n -dis j ) 2

[0178] Among them, ξ n represents the error sum of squares of the nth sub-fault data cluster;

[0179] S205: comparing the error sum of each sub-fault data cluster with a set threshold value to determine whether to continue classifying the sub-fault data cluster;

[0180] When the error square sum is less than or equal to the set threshold, there is no need to further classify the sub-fault data cluster;

[0181] Otherwise, continue classification based on the cluster centroid of the sub-fault data cluster;

[0182] S206: Based on the classification result, each sub-fault data cluster generates a corresponding equipment fault type. At the same time, the sub-fault data clusters are clustered to generate a fault verification database. When the usage status information is transmitted, the usage status information is subjected to fault analysis based on the fault verification database.

[0183] In this embodiment, the data features may be determined by analyzing the fault data set in the initial cluster table, because the fault data set may include the initial type of fault of the electrical equipment, for example, the data features corresponding to the fault data when the electrical equipment is short-circuited.

[0184] In this embodiment, the fault verification database may be a database determined by integrating sub-fault data clusters, and includes all fault types of the electrical equipment.

[0185] In this embodiment, the threshold value may be a value determined based on experience extraction, and is used to measure whether each sub-fault data cluster needs to continue to be classified.

[0186] The beneficial effects of the above technical solution are: by determining the data characteristics, the initial cluster table corresponding to the fault data set of the electrical equipment is classified, and multiple sub-fault data clusters are determined. By calculating the sum of square errors of multiple sub-fault data clusters, it is determined whether the sub-fault data clusters need to be further classified, thereby improving the accuracy of classification, and determining the fault verification database based on the sub-fault data clusters, thereby providing a data analysis basis for data diagnosis using status information, greatly improving the efficiency and accuracy of fault analysis.

[0187] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A circuit fault analysis intelligent power-off switch system, characterized in that: It includes online acquisition module, remote transmission module and data diagnosis module, among which: The online acquisition module is used to collect online usage status information of the electrical equipment, wherein the online collected usage status information includes current and voltage parameters of the electrical equipment in the usage state and leakage parameters of the electrical equipment, and the usage status information is remotely transmitted to the data diagnosis module through the remote transmission module after online collection; The remote transmission module is used to establish a link between the online acquisition module and the data diagnosis module. After the online acquisition module and the data diagnosis module establish a data transmission link, the use status information collected online by the online acquisition module is completely and accurately transmitted to the data diagnosis module; The data diagnosis module is used to perform data diagnosis on the transmitted usage status information, and the data diagnosis method is to extract signal features through signal processing, perform corresponding diagnosis on the signal features, determine the fault type of the electrical equipment, and transmit the diagnosed fault type to the intelligent management platform; When the remote transmission module establishes a link between the online acquisition module and the data diagnosis module, it uses the TCP protocol for data transmission, and performs the following operations: The online acquisition module requests the physical address of the data diagnosis module, sends an encrypted file to the data diagnosis module, and waits for confirmation from the data diagnosis module; After receiving the encrypted file sent by the online acquisition module, the data diagnosis module provides a confirmation file and sends the confirmation file back to the online acquisition module; After the online acquisition module receives the confirmation file sent by the data diagnosis module, it sends the decryption file to the data diagnosis module. After the data diagnosis module receives the decryption file, the data transmission ends. The online collection module collects the usage status information of the electric equipment online and performs the following operations: The current sensor is connected to the power supply circuit of the power-consuming device, and the current sensor is used to collect the power supply current of the power-consuming device in the use state online, which is recorded as I1; The voltage sensor is connected to the power supply circuit of the power-consuming device, and is used to collect the power supply voltage of the power-consuming device in use online, which is recorded as U1; The leakage detector is connected to the neutral line of the electrical equipment. The leakage detector is used to collect the neutral line current of the electrical equipment in real time when it is in use, which is recorded as I2; After the current sensor, voltage sensor and leakage detector collect the information online in real time, the collected usage status information is transmitted to the data diagnosis module in real time, and the data diagnosis module performs data diagnosis on the usage status information to determine the fault situation; The online collection module collects the usage status information of the electrical equipment online, and also includes: The device information acquisition unit is used to acquire the device information of the data collection point, wherein the device information of the data collection point includes: current collection device information, voltage collection device information, and power equipment leakage collection device information; The acquisition node generation unit is used to generate a first data acquisition node based on the current acquisition device information, and at the same time, determine the first data acquisition feature of the current acquisition device, and determine the first data acquisition format based on the first data acquisition feature; generate a second data acquisition node based on the voltage acquisition device information, and at the same time, determine the second data acquisition feature of the voltage acquisition device, and determine the second data acquisition format based on the second data acquisition feature; generate a third data acquisition node based on the power equipment leakage acquisition device information, and at the same time, determine the third data acquisition feature of the power equipment leakage acquisition device, and determine the third data acquisition format based on the third data acquisition feature; a data management mechanism determining unit, configured to determine a data management mechanism based on the first data collection format, the second data collection format, and the third data collection format, respectively; A node setting unit, used for setting data monitoring nodes and data aggregation nodes based on the data management mechanism; a node identification determination unit, used to respectively determine a first node identification of the first data acquisition node, a second node identification of the second data acquisition node, and a third node identification of the third data acquisition node, and at the same time, determine a fourth node identification of the data monitoring node and a fifth node identification of the data aggregation node; A first network generating unit is configured to determine a first association relationship between the first node identifier, the second node identifier, the third node identifier, and the fourth node identifier, wherein the first association relationship includes: a node data transmission direction and a node branch between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node, and at the same time, a first network between the first data acquisition node, the second data acquisition node, the third data acquisition node, and the data monitoring node is established respectively according to the first association relationship; A second network generating unit is configured to establish a second network between the data monitoring node and the data aggregation node according to a second association relationship between the fourth node and the fifth node, wherein the second association relationship includes: a node data transmission direction and a node branch between the data monitoring node and the data aggregation node; An information collection network generating unit, configured to generate an information collection network for the usage status information of the electric device according to the first network and the second network; A data collection unit is used to perform a security check on the usage status information of the collected power equipment based on the monitoring node in the first network of the information collection network, and to perform a completeness check on the usage status information of the collected power equipment when the usage status information of the collected power equipment is safe; and at the same time, when the usage status information of the collected power equipment is complete, to summarize the usage status information of the collected power equipment based on the data summary node in the second network.

2. A circuit fault analysis intelligent power-off switch system as claimed in claim 1, characterized in that: It also includes an intelligent management platform, a fault analysis module and an information query module, among which: The intelligent management platform is used to intelligently manage the power-off switch system, comprehensively regulate the power-off switch system, and transmit the received fault type to the fault analysis module, so that the fault type is maintained and managed accordingly according to the fault analysis situation; The fault analysis module is used to analyze the diagnosed fault type in detail, and determine the cause of the fault with reference to historical information and call the corresponding maintenance strategy; The information query module is used to provide a corresponding algorithm for fault analysis, and the information query module stores a variety of fault causes and strategies for solving the fault causes.

3. A circuit fault analysis intelligent power-off switch system as claimed in claim 2, characterized in that: When the data diagnosis module diagnoses data information, the following operations are performed: The data extraction unit extracts key signal features from the received data information, and transmits the extracted key signal features to the feature division unit; The feature classification unit performs feature classification on the received key signal features, determines feature categories, and transmits the classified feature categories to the diagnosis comparison unit; The diagnostic comparison unit performs diagnostic comparison on the received feature categories and with reference to the feature storage unit, diagnoses the fault type, and transmits the fault type of the faulty electrical equipment to the intelligent management platform for intelligent management of the faulty electrical equipment.

4. A circuit fault analysis intelligent power-off switch system as claimed in claim 3, characterized in that: The intelligent management platform performs the following operations: After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, it makes corresponding intelligent management for the specific fault type, guides the fault analysis module to analyze the fault type and make intelligent strategies.

5. A circuit fault analysis intelligent power-off switch system as claimed in claim 4, characterized in that: When analyzing the fault type, the fault analysis module performs the following operations: After receiving the fault type transmitted by the intelligent management platform, the fault confirmation unit confirms the fault type. When confirming the fault type, the fault confirmation unit calculates the fault type, checks the authenticity of the fault type, and feeds back the checking result to the analysis execution unit; The analysis execution unit receives the inspection result transmitted by the fault confirmation unit and executes the corresponding instruction on the inspection result. If the fault type is confirmed to be consistent, the analysis execution unit transmits the instruction to the safety maintenance unit. If the fault type is confirmed to be inconsistent, the analysis execution unit transmits the instruction to the analysis identification unit. After the analysis identification unit identifies the fault type again, the safety maintenance unit performs safety maintenance on the fault type. After receiving the instruction transmitted by the analysis execution unit, the analysis and identification unit analyzes and identifies the fault type again, corrects the original fault cause, and identifies the real fault of the electrical equipment; After receiving the instruction transmitted by the analysis and execution unit, the safety maintenance unit calls the corresponding maintenance strategy to the information query module according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment.

6. A circuit fault analysis intelligent power-off switch system as claimed in claim 5, characterized in that: The security maintenance unit calls the historical information stored in the information query module and performs the following operations: After receiving the instruction transmitted by the safety maintenance unit, the guidance calling unit searches for the corresponding fault type storage unit in the information query module according to the fault type, and calls out the corresponding fault maintenance strategy stored in the fault type storage unit; After the maintenance strategy is called, the called maintenance strategy is fed back to the intelligent management platform. The intelligent management platform makes further responses according to the maintenance strategy and performs maintenance on the electrical equipment with storage faults.

7. A circuit fault analysis intelligent power-off switch system as claimed in claim 6, characterized in that: When performing maintenance on the electrical equipment, the safety maintenance unit intelligently disconnects the circuit connection of the electrical equipment and transmits maintenance instructions to maintenance personnel via a wireless network, wherein the maintenance instructions include the cause of the fault and a strategy for resolving the fault.

8. A fault analysis intelligent power-off method for a circuit fault analysis intelligent power-off switch system as claimed in claim 7, characterized in that: The steps include: S1: The online acquisition module collects the usage status information of the electrical equipment online, and uploads the collected current, voltage parameters and leakage parameters of the electrical equipment in the usage status to the data diagnosis module through the remote transmission module; S2: The data diagnosis module performs data diagnosis on the transmitted usage status information, determines the fault type of the electrical equipment, and transmits the diagnosed fault type to the intelligent management platform. After the intelligent management platform receives the fault type diagnosed by the data diagnosis module, the intelligent management platform makes corresponding intelligent management for the specific fault type; S3: After receiving the fault type transmitted by the intelligent management platform, the fault analysis module confirms the fault type, verifies the authenticity of the fault type, calls the corresponding maintenance strategy according to the fault type, and performs corresponding power safety maintenance on the faulty electrical equipment.

9. The fault analysis intelligent power-off method of the circuit fault analysis intelligent power-off switch system according to claim 8, characterized in that: In S2, before the data diagnosis module performs data diagnosis on the transmitted usage status information and determines the fault type of the electrical equipment, it also includes: Establishing a fault verification database in the data diagnosis module, the specific steps are: S201: Collecting a fault data set of an electric device, and determining an initial cluster table based on the fault data set; S202: Analyze the initial cluster table to determine data features of the initial cluster table, and classify the initial cluster table based on the data features to obtain multiple sub-fault data clusters; S203: Calculate the cluster centroid of each sub-fault data cluster in the multiple sub-fault data clusters according to the following formula; in, Indicates The centroid of each sub-fault data cluster; Indicates the current data point in the sub-fault data cluster; represents the total data points in the sub-fault data cluster; Indicates the sub-fault data cluster. The weight of each data point; Represents the calculation factor, and its value range is (0.99, 1.02); Indicates the number of The metric value corresponding to each data point; S204: Calculating the sum of square errors of each sub-fault data cluster based on the cluster centroid of each sub-fault data cluster; in, Indicates The sum of squared errors of each sub-fault data cluster; S205: comparing the error sum of each sub-fault data cluster with a set threshold value to determine whether to continue classifying the sub-fault data cluster; When the error square sum is less than or equal to the set threshold, there is no need to further classify the sub-fault data cluster; Otherwise, continue classification based on the cluster centroid of the sub-fault data cluster; S206: Based on the classification result, each sub-fault data cluster generates a corresponding equipment fault type. At the same time, the sub-fault data clusters are clustered to generate a fault verification database. When the usage status information is transmitted, the usage status information is subjected to fault analysis based on the fault verification database.

Images