An intelligent monitoring and self-diagnostic low-voltage circuit breaker

Abstract

The present invention provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, including: a monitoring module, which is used to perform multi-parameter monitoring of the circuit based on the low-voltage circuit breaker, output monitoring data corresponding to each type of parameter, and at the same time, perform self-diagnosis on the low-voltage circuit breaker and output self-diagnosis data; a microprocessor module, which is used to build an automatic diagnosis model, and input the monitoring data and self-diagnosis data corresponding to each type of parameter into the automatic diagnosis model for analysis, and output the diagnosis result. A communication transmission module is used to transmit the diagnosis result to the monitoring terminal, and display the diagnosis result according to the display interface of the monitoring terminal, thereby improving the effectiveness and intelligence of monitoring and self-diagnosis of the low-voltage circuit breaker and the accuracy and comprehensiveness of monitoring and analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring, and in particular to an intelligent monitoring and self-diagnosis low-voltage circuit breaker. Background Art

[0002] At present, with the development of industrial automation and intelligence, the requirements for monitoring and management of electrical equipment are getting higher and higher. Low-voltage circuit breakers can effectively realize the functions of overload protection, short circuit protection, equipment protection, etc. of the circuit of electrical equipment;

[0003] However, although traditional low-voltage circuit breakers can provide basic electrical protection, they are insufficient in real-time monitoring, fault diagnosis and remote management, as well as monitoring of the low-voltage circuit breaker's own operating status, resulting in low efficiency and lack of intelligence.

[0004] Therefore, in order to overcome the above technical problems, the present invention provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker. Summary of the invention

[0005] The present invention provides an intelligent monitoring and self-diagnostic low-voltage circuit breaker, which is used to perform multi-parameter monitoring of a circuit through the low-voltage circuit breaker, realize all-round monitoring of the circuit by the low-voltage circuit breaker, and perform self-diagnosis on the low-voltage circuit breaker, so as to realize detailed analysis of monitoring data and self-diagnosis data corresponding to various types of parameters by constructing an automatic diagnosis model, effectively realize all-round monitoring of the circuit by the low-voltage circuit breaker and detailed monitoring of the low-voltage circuit breaker's own operating state, not only improve the accuracy of the low-voltage circuit breaker operation, but also ensure the safe operation of the low-voltage circuit breaker itself, and realize timely transmission and display of the diagnosis result by transmitting the diagnosis result to the monitoring terminal and displaying it according to the display interface of the monitoring terminal, thereby improving the effectiveness and intelligence of monitoring and self-diagnosis of the low-voltage circuit breaker and the accuracy and comprehensiveness of monitoring and analysis.

[0006] An intelligent monitoring and self-diagnostic low-voltage circuit breaker, comprising:

[0007] A monitoring module is used to perform multi-parameter monitoring of the circuit based on the low-voltage circuit breaker, output monitoring data corresponding to each type of parameter, and at the same time, perform self-diagnosis on the low-voltage circuit breaker and output self-diagnosis data;

[0008] The microprocessor module is used to construct an automatic diagnosis model, input the monitoring data and self-diagnosis data corresponding to each type of parameter into the automatic diagnosis model for analysis, and output the diagnosis result;

[0009] The communication transmission module is used to transmit the diagnosis result to the monitoring terminal and display the diagnosis result according to the display interface of the monitoring terminal.

[0010] Preferably, an intelligent monitoring and self-diagnostic low-voltage circuit breaker, monitoring module, comprises:

[0011] The first monitoring unit is used for:

[0012] Obtaining the circuit monitoring area and circuit monitoring parameters;

[0013] Monitor the circuit monitoring area based on the circuit monitoring parameters of the low-voltage circuit breaker and output monitoring data corresponding to each type of parameter;

[0014] A second monitoring unit is used to obtain a self-diagnosis device for the low-voltage circuit breaker, monitor the working state of the low-voltage circuit breaker in real time according to the self-diagnosis device, and output the self-diagnosis data of the low-voltage circuit breaker;

[0015] The data management unit is used to manage the monitoring data of the low-voltage circuit breaker for monitoring the circuit and the self-diagnosis data of the low-voltage circuit breaker respectively.

[0016] Preferably, an intelligent monitoring and self-diagnostic low voltage circuit breaker, data management unit, comprises:

[0017] A management section creation subunit, used to create a circuit monitoring management section and a self-diagnosis data management section respectively;

[0018] Interval division subunit, used for:

[0019] Reading a plurality of circuit monitoring areas, and performing identification codes on the plurality of circuit monitoring areas, and at the same time, performing a first division on the circuit monitoring management interval according to the identification codes to obtain a plurality of sub-circuit monitoring management intervals;

[0020] Obtaining a parameter type of the circuit monitoring parameter, and performing a second division on each sub-circuit monitoring management interval according to the parameter type of the circuit monitoring parameter, to obtain a monitoring management block corresponding to each parameter type;

[0021] The data storage subunit is used for:

[0022] Setting a first time axis in a circuit monitoring management interval;

[0023] Matching the first time axis with the monitoring management block, and adding the monitoring data to the corresponding monitoring management block according to the first time axis;

[0024] Complete the data management and storage of monitoring data corresponding to each type of parameter according to the added results;

[0025] The interval division subunit is further used for:

[0026] Read the self-diagnosis items of the low voltage circuit breaker;

[0027] Performing a third division on the self-diagnosis data management interval according to the self-diagnosis items to obtain a plurality of self-diagnosis data management sub-intervals;

[0028] The data storage subunit is also used to set a second time axis in the self-diagnosis data management interval, correspond the second time axis to the self-diagnosis data management interval, and add the self-diagnosis data to the corresponding self-diagnosis data management sub-interval according to the second time axis to complete the data management and storage of the self-diagnosis data.

[0029] Preferably, an intelligent monitoring and self-diagnostic low-voltage circuit breaker, microprocessor module, comprises:

[0030] A model building unit, used for building an automatic diagnosis model;

[0031] The automatic diagnosis model includes: a multi-parameter diagnosis sub-model and a self-diagnosis sub-model;

[0032] The microprocessor analysis unit is used to transmit the monitoring data corresponding to each type of parameter to the multi-parameter diagnosis sub-model for analysis and output a first diagnosis result. At the same time, the self-diagnosis data is transmitted to the self-diagnosis sub-model for analysis and output a second diagnosis result.

[0033] Preferably, an intelligent monitoring and self-diagnosis low voltage circuit breaker, a model building unit, comprises:

[0034] The sample data retrieving subunit is used to retrieve the parameter type when the circuit is monitored by multiple parameters based on the low-voltage circuit breaker and the parameter sample data corresponding to each parameter type;

[0035] The sample data reading and analyzing subunit is used to read the parameter sample data corresponding to each parameter type, and determine the first parameter sample data when the operation is normal and the second parameter sample data when the operation is abnormal in the parameter sample data corresponding to each parameter type;

[0036] A data learning subunit is used to learn the first parameter sample data to obtain the data change characteristics corresponding to the first parameter sample data, and at the same time, learn the second parameter sample data to obtain the data change characteristics corresponding to the second parameter sample data;

[0037] An operating condition determination subunit, used to obtain a normal operating condition corresponding to the current parameter type according to the data change characteristics corresponding to the first parameter sample data, and at the same time, obtain an abnormal operating condition corresponding to the current parameter type according to the data change characteristics corresponding to the second parameter sample data;

[0038] The target connection acquisition subunit is used to:

[0039] If the parameter sample data of the current parameter type belongs to an abnormal operating condition, determine whether the parameter sample data corresponding to the other parameter types are in an abnormal operating state;

[0040] If the corresponding parameter sample data in other parameter types is in an abnormal operation state, obtain the target parameter type corresponding to the abnormal operation state;

[0041] Associate the target parameter type with the current parameter type to obtain the target connection between the parameter types;

[0042] The multi-parameter diagnosis sub-model construction sub-unit is used to construct the multi-parameter diagnosis sub-model based on the target connection between each parameter type, the corresponding normal operating conditions and abnormal operating conditions in each parameter type.

[0043] Preferably, an intelligent monitoring and self-diagnosis low voltage circuit breaker, a model building unit, comprises:

[0044] An item acquisition subunit is used to acquire self-diagnosis items when performing self-diagnosis on the low-voltage circuit breaker;

[0045] A matching subunit, used to transmit the self-diagnosis items to a preset database for matching, and determine the upper safety threshold and the lower safety threshold corresponding to each self-diagnosis item;

[0046] The self-diagnosis sub-model construction sub-unit is used to learn the upper safety threshold and the lower safety threshold corresponding to each self-diagnosis item and construct the self-diagnosis sub-model.

[0047] Preferably, an intelligent monitoring and self-diagnostic low-voltage circuit breaker, a microprocessor analysis unit, comprises:

[0048] A data analysis subunit, used to input the real-time collected monitoring data into the multi-parameter diagnosis submodel for a first analysis, determine the parameter type corresponding to the real-time collected monitoring data and a first diagnosis result after analyzing the real-time collected monitoring data;

[0049] The diagnostic result generating subunit is used to use the first diagnostic result as the first diagnostic result if the first diagnostic result shows that the monitoring data does not have an abnormality.

[0050] The data analysis subunit is further used for:

[0051] If the first diagnosis result shows that the monitoring data is abnormal, obtain the target parameter type connected to the parameter type corresponding to the monitoring data;

[0052] Retrieving the real-time monitoring data corresponding to the target parameter type, and inputting the real-time monitoring data corresponding to the target parameter type into the multi-parameter diagnosis sub-model for a second analysis, and outputting a second diagnosis result;

[0053] The diagnostic result generating subunit is further configured to generate a first diagnostic result based on the first diagnostic result and the second diagnostic result if the second diagnostic result shows that the real-time monitoring data corresponding to the target parameter type does not have an abnormality;

[0054] The iterative analysis subunit is used to continue iterative analysis based on the multi-parameter diagnosis submodel if the second diagnosis result shows that the real-time monitoring data corresponding to the target parameter type is abnormal, until the real-time monitoring data of the corresponding parameter type is no longer abnormal.

[0055] Preferably, an intelligent monitoring and self-diagnostic low-voltage circuit breaker, a microprocessor analysis unit, comprises:

[0056] The monitoring data acquisition subunit is used to acquire self-diagnosis items for self-diagnosis of the low-voltage circuit breaker, and read the self-diagnosis data corresponding to each self-diagnosis item when monitoring the low-voltage circuit breaker in real time according to the self-diagnosis items;

[0057] The analysis subunit is used to input the self-diagnosis data corresponding to each self-diagnosis item into the self-diagnosis sub-model for analysis, and output a second diagnosis result.

[0058] Preferably, an intelligent monitoring and self-diagnosis low voltage circuit breaker, communication transmission module, comprises:

[0059] A data transmission unit, used for transmitting the diagnosis result to the monitoring terminal based on a preset communication link;

[0060] The display unit is used to display the diagnosis result in the display interface of the monitoring terminal.

[0061] Preferably, an intelligent monitoring and self-diagnostic low-voltage circuit breaker, a display unit, comprises: a display interface is an LCD display screen.

[0062] Compared with the prior art, the beneficial effects of the present invention are as follows: multi-parameter monitoring of the circuit is performed by the low-voltage circuit breaker, so that the low-voltage circuit breaker can perform all-round monitoring of the circuit and perform self-diagnosis on the low-voltage circuit breaker, thereby realizing detailed analysis of the monitoring data and self-diagnosis data corresponding to each type of parameter by constructing an automatic diagnosis model, effectively realizing all-round monitoring of the circuit by the low-voltage circuit breaker and detailed monitoring of the low-voltage circuit breaker's own operating status, which not only improves the accuracy of the low-voltage circuit breaker's operation, but also ensures the safe operation of the low-voltage circuit breaker itself, and realizes timely transmission and display of the diagnosis results by transmitting the diagnosis results to the monitoring terminal and displaying them according to the display interface of the monitoring terminal, thereby improving the effectiveness and intelligence of monitoring and self-diagnosis of the low-voltage circuit breaker and the accuracy and comprehensiveness of monitoring and analysis.

[0063] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0064] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0066] Figure 1 This is a structural diagram of an intelligent monitoring and self-diagnosis low-voltage circuit breaker system in an embodiment of the present invention;

[0067] Figure 2 This is a structural diagram of a monitoring module in an intelligent monitoring and self-diagnosis low-voltage circuit breaker in an embodiment of the present invention;

[0068] Figure 3 The present invention is a structural diagram of a communication transmission module in an intelligent monitoring and self-diagnosis low-voltage circuit breaker according to an embodiment of the present invention. DETAILED DESCRIPTION

[0069] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0070] Embodiment 1:

[0071] This embodiment provides an intelligent monitoring and self-diagnosis low voltage circuit breaker, such as Figure 1 As shown, including:

[0072] A monitoring module is used to perform multi-parameter monitoring of the circuit based on the low-voltage circuit breaker, output monitoring data corresponding to each type of parameter, and at the same time, perform self-diagnosis on the low-voltage circuit breaker and output self-diagnosis data;

[0073] The microprocessor module is used to construct an automatic diagnosis model, and input the monitoring data and self-diagnosis data corresponding to each type of parameter into the automatic diagnosis model for analysis, and output the diagnosis result;

[0074] The communication transmission module is used to transmit the diagnosis result to the monitoring terminal and display the diagnosis result according to the display interface of the monitoring terminal.

[0075] In this embodiment, the multi-parameter monitoring may include: monitoring of circuit current, temperature, voltage and frequency based on a low voltage circuit breaker.

[0076] In this embodiment, self-diagnosis may be a diagnostic monitoring operation on the internal operating state of the low-voltage circuit breaker, and the self-diagnosis data may be a corresponding monitoring of the internal operating state of the low-voltage circuit breaker according to the self-diagnosis items, wherein the self-diagnosis items may include: the connection status of the own components (such as: contact system, electromagnetic releaser and thermal releaser) and the operating conditions of each own component, etc.

[0077] In this embodiment, the automatic diagnosis model can be used to analyze the monitoring data and self-diagnosis data corresponding to each type of parameter, so as to output an accurate judgment on whether the circuit is operating normally and whether the low-voltage circuit breaker is faulty.

[0078] In this embodiment, the monitoring data corresponding to each type of parameter may include: monitoring data corresponding to each type, for example, if the current of the circuit is monitored, the determined monitoring data is current monitoring data.

[0079] In this embodiment, the display interface is an LCD display screen.

[0080] The working principle and beneficial effects of the above technical solution are: multi-parameter monitoring of the circuit is performed by the low-voltage circuit breaker, so that the low-voltage circuit breaker can perform all-round monitoring of the circuit and perform self-diagnosis of the low-voltage circuit breaker, so as to realize detailed analysis of the monitoring data and self-diagnosis data corresponding to each type of parameter by constructing an automatic diagnosis model, effectively realize all-round monitoring of the circuit by the low-voltage circuit breaker and detailed monitoring of the low-voltage circuit breaker's own operating status, which not only improves the accuracy of the low-voltage circuit breaker's operation, but also ensures the safe operation of the low-voltage circuit breaker itself. By transmitting the diagnosis results to the monitoring terminal and displaying them according to the display interface of the monitoring terminal, the diagnosis results can be transmitted and displayed in time, which improves the effectiveness and intelligence of monitoring and self-diagnosis of the low-voltage circuit breaker and the accuracy and comprehensiveness of monitoring and analysis.

[0081] Embodiment 2:

[0082] Based on Example 1, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, such as Figure 2 As shown, the monitoring module includes:

[0083] The first monitoring unit is used for:

[0084] Obtaining the circuit monitoring area and circuit monitoring parameters;

[0085] Monitor the circuit monitoring area based on the circuit monitoring parameters of the low-voltage circuit breaker and output monitoring data corresponding to each type of parameter;

[0086] A second monitoring unit is used to obtain a self-diagnosis device for the low-voltage circuit breaker, monitor the working state of the low-voltage circuit breaker in real time according to the self-diagnosis device, and output the self-diagnosis data of the low-voltage circuit breaker;

[0087] The data management unit is used to manage the monitoring data of the low-voltage circuit breaker for monitoring the circuit and the self-diagnosis data of the low-voltage circuit breaker respectively.

[0088] In this embodiment, the circuit monitoring area may be a circuit location range for monitoring based on a low voltage circuit breaker, wherein the circuit monitoring area may be obtained by artificial setting according to actual needs, and may include multiple circuit monitoring areas.

[0089] In this embodiment, the self-diagnosis device may include a sensor and other devices, which are used to achieve the purpose of self-diagnosis and monitoring of the low-voltage circuit breaker.

[0090] The working principle and beneficial effects of the above technical solution are: by determining the circuit monitoring area and various types of parameters, the monitoring data can be effectively acquired, and the working status of the low-voltage circuit breaker can be monitored through self-diagnosis decoration, thereby effectively obtaining the self-diagnosis data of the low-voltage circuit breaker. By managing the monitoring data and the self-diagnosis data of the low-voltage circuit breaker separately, the accuracy and effectiveness of data acquisition and management can be effectively achieved.

[0091] Embodiment 3:

[0092] Based on Example 2, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, a data management unit, including:

[0093] A management section creation subunit, used to create a circuit monitoring management section and a self-diagnosis data management section respectively;

[0094] Interval division subunit, used for:

[0095] Reading a plurality of circuit monitoring areas, and performing identification codes on the plurality of circuit monitoring areas, and at the same time, performing a first division on the circuit monitoring management interval according to the identification codes to obtain a plurality of sub-circuit monitoring management intervals;

[0096] Obtaining a parameter type of the circuit monitoring parameter, and performing a second division on each sub-circuit monitoring management interval according to the parameter type of the circuit monitoring parameter, to obtain a monitoring management block corresponding to each parameter type;

[0097] The data storage subunit is used for:

[0098] Setting a first time axis in a circuit monitoring management interval;

[0099] Matching the first time axis with the monitoring management block, and adding the monitoring data to the corresponding monitoring management block according to the first time axis;

[0100] Complete the data management and storage of monitoring data corresponding to each type of parameter according to the added results;

[0101] The interval division subunit is further used for:

[0102] Read the self-diagnosis items of the low voltage circuit breaker;

[0103] Performing a third division on the self-diagnosis data management interval according to the self-diagnosis items to obtain a plurality of self-diagnosis data management sub-intervals;

[0104] The data storage subunit is also used to set a second time axis in the self-diagnosis data management interval, correspond the second time axis to the self-diagnosis data management interval, and add the self-diagnosis data to the corresponding self-diagnosis data management sub-interval according to the second time axis to complete the data management and storage of the self-diagnosis data.

[0105] In this embodiment, the identification code may be used to distinguish between multiple circuit monitoring areas.

[0106] In this embodiment, the first time axis may be a characterization mark used to manage the time information of acquiring the monitoring data.

[0107] In this embodiment, the second time axis may be a characterization mark used to manage the time information of the self-diagnosis data acquisition.

[0108] In this embodiment, the first division may be performed according to circuit monitoring areas to implement monitoring of different circuit monitoring areas.

[0109] In this embodiment, the second division may be to divide the same circuit monitoring area into different parameter types, thereby achieving control over the monitoring data corresponding to different parameter types.

[0110] In this embodiment, the third division may be performed according to the self-diagnosis items to achieve the management and control of the self-diagnosis data corresponding to different self-diagnosis items.

[0111] The working principle and beneficial effects of the above technical solution are: by separately constructing a circuit monitoring management interval and a self-diagnosis data management interval, the separate management of monitoring data and self-diagnosis data can be effectively realized; by performing the first division and the second division of the circuit monitoring management interval, the orderliness and accuracy of the management and storage of monitoring data can be effectively realized, which provides a strong and accurate guarantee for the subsequent analysis of the monitoring data; by performing the third division of the self-diagnosis data management interval, the orderliness and accuracy of the management and storage of self-diagnosis data can be effectively realized; by respectively adding the first time axis and the second time axis to the corresponding circuit monitoring management interval and the self-diagnosis data management interval, the time of data acquisition can be effectively recorded, thereby ensuring the comprehensiveness, effectiveness and orderliness of the management of monitoring data and self-diagnosis data.

[0112] Embodiment 4:

[0113] Based on Example 1, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, a microprocessor module, including:

[0114] A model building unit, used for building an automatic diagnosis model;

[0115] The automatic diagnosis model includes: a multi-parameter diagnosis sub-model and a self-diagnosis sub-model;

[0116] The microprocessor analysis unit is used to transmit the monitoring data corresponding to each type of parameter to the multi-parameter diagnosis sub-model for analysis and output a first diagnosis result. At the same time, the self-diagnosis data is transmitted to the self-diagnosis sub-model for analysis and output a second diagnosis result.

[0117] In this embodiment, the first diagnosis result may be a set of diagnosis results after diagnosing the monitoring data corresponding to each type of parameter respectively.

[0118] In this embodiment, the second diagnosis result may be a diagnosis result after the self-diagnosis sub-model analyzes the self-diagnosis data.

[0119] The beneficial effects of the above technical solution are: improving the effectiveness and accuracy of analyzing monitoring data and self-diagnosis data, and improving the intelligence of the low-voltage circuit breaker.

[0120] Embodiment 5:

[0121] Based on Example 4, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, and the model building unit includes:

[0122] The sample data retrieving subunit is used to retrieve the parameter type when the circuit is monitored by multiple parameters based on the low-voltage circuit breaker and the parameter sample data corresponding to each parameter type;

[0123] The sample data reading and analyzing subunit is used to read the parameter sample data corresponding to each parameter type, and determine the first parameter sample data when the operation is normal and the second parameter sample data when the operation is abnormal in the parameter sample data corresponding to each parameter type;

[0124] A data learning subunit is used to learn the first parameter sample data to obtain the data change characteristics corresponding to the first parameter sample data, and at the same time, learn the second parameter sample data to obtain the data change characteristics corresponding to the second parameter sample data;

[0125] An operating condition determination subunit, used to obtain a normal operating condition corresponding to the current parameter type according to the data change characteristics corresponding to the first parameter sample data, and at the same time, obtain an abnormal operating condition corresponding to the current parameter type according to the data change characteristics corresponding to the second parameter sample data;

[0126] The target connection acquisition subunit is used to:

[0127] If the parameter sample data of the current parameter type belongs to an abnormal operating condition, determine whether the parameter sample data corresponding to the other parameter types are in an abnormal operating state;

[0128] If the corresponding parameter sample data in other parameter types is in an abnormal operation state, obtain the target parameter type corresponding to the abnormal operation state;

[0129] Associate the target parameter type with the current parameter type to obtain the target connection between the parameter types;

[0130] The multi-parameter diagnosis sub-model construction sub-unit is used to construct the multi-parameter diagnosis sub-model based on the target connection between each parameter type, the corresponding normal operating conditions and abnormal operating conditions in each parameter type.

[0131] In this embodiment, the first parameter sample data may be parameter sample data when the operation is normal among the parameter sample data corresponding to each parameter type.

[0132] In this embodiment, the second parameter sample data may be parameter sample data when operation is abnormal among the parameter sample data corresponding to each parameter type.

[0133] In this embodiment, the data change characteristics may include characteristics such as a data change trend and a data change interval of the parameter sample data.

[0134] In this embodiment, the target parameter type is associated with the current parameter type to obtain a target connection between the parameter types. For example, if the current parameter type is current, when a short circuit is detected in the circuit, it can be detected that a change has occurred in the circuit temperature monitoring in the target parameter type, causing the short-circuited part of the circuit to be in an abnormal temperature state.

[0135] The working principle and beneficial effects of the above technical solution are: by calling the parameter type when performing multi-parameter monitoring of the circuit based on the low-voltage circuit breaker and the parameter sample data corresponding to each parameter type, the first parameter sample data when the operation is normal and the second parameter sample data when the operation is abnormal in the parameter sample data corresponding to each parameter type can be effectively determined; by learning the first parameter sample data, the data change characteristics corresponding to the first parameter sample data can be accurately obtained, and at the same time, by learning the second parameter sample data, the data change characteristics corresponding to the second parameter sample data can be accurately obtained; then, according to the data change characteristics corresponding to the first parameter sample data, the normal operating conditions corresponding to the current parameter type are obtained, and at the same time, the abnormal operating conditions corresponding to the current parameter type are obtained by the data change characteristics corresponding to the second parameter sample data; When it is determined that the parameter sample data of the current parameter type belongs to an abnormal operating condition, it is determined whether the parameter sample data corresponding to the remaining parameter types are in an abnormal operating state; if the corresponding parameter sample data in the remaining parameter types is in an abnormal operating state, the target parameter type corresponding to the abnormal operating state is obtained; and then by associating the target parameter type with the current parameter type, the target connection between the parameter types is effectively obtained, thereby realizing the mutual connection between the parameter types, and constructing a multi-parameter diagnosis sub-model based on the target connection between the parameter types, the corresponding normal operating conditions in each parameter type, and the abnormal operating conditions, the accuracy and mutual correlation of the construction of the multi-parameter diagnosis sub-model are accurately improved, thereby ensuring the comprehensiveness and intelligence of the analysis of the monitoring data based on the multi-parameter diagnosis sub-model.

[0136] Embodiment 6:

[0137] Based on Example 4, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, and the model building unit includes:

[0138] An item acquisition subunit is used to acquire self-diagnosis items when performing self-diagnosis on the low-voltage circuit breaker;

[0139] A matching subunit, used to transmit the self-diagnosis items to a preset database for matching, and determine the upper safety threshold and the lower safety threshold corresponding to each self-diagnosis item;

[0140] The self-diagnosis sub-model construction sub-unit is used to learn the upper safety threshold and the lower safety threshold corresponding to each self-diagnosis item and construct the self-diagnosis sub-model.

[0141] In this embodiment, the self-diagnosis items may be pre-set and may include: the operating temperature of the low voltage circuit breaker, the connection status of its own components (such as: contact system, electromagnetic releaser and thermal releaser) and the operating status of its own components.

[0142] In this embodiment, the preset database may be set in advance.

[0143] In this embodiment, the upper safety threshold and the lower safety threshold constitute a safety threshold interval, thereby achieving safety determination of monitoring data in the self-diagnosis project.

[0144] The beneficial effect of the above technical solution is that by determining the upper safety threshold and the lower safety threshold, the convergence conditions of the model learning can be effectively determined, thereby achieving the accuracy and effectiveness of the construction of the self-diagnosis sub-model.

[0145] Embodiment 7:

[0146] Based on Example 4, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, a microprocessor analysis unit, including:

[0147] A data analysis subunit, used to input the real-time collected monitoring data into the multi-parameter diagnosis submodel for a first analysis, determine the parameter type corresponding to the real-time collected monitoring data and a first diagnosis result after analyzing the real-time collected monitoring data;

[0148] The diagnostic result generating subunit is used to use the first diagnostic result as the first diagnostic result if the first diagnostic result shows that the monitoring data does not have an abnormality.

[0149] The data analysis subunit is further used for:

[0150] If the first diagnosis result shows that the monitoring data is abnormal, obtain the target parameter type connected to the parameter type corresponding to the monitoring data;

[0151] Retrieving the real-time monitoring data corresponding to the target parameter type, and inputting the real-time monitoring data corresponding to the target parameter type into the multi-parameter diagnosis sub-model for a second analysis, and outputting a second diagnosis result;

[0152] The diagnostic result generating subunit is further configured to generate a first diagnostic result based on the first diagnostic result and the second diagnostic result if the second diagnostic result shows that the real-time monitoring data corresponding to the target parameter type does not have an abnormality;

[0153] The iterative analysis subunit is used to continue iterative analysis based on the multi-parameter diagnosis submodel if the second diagnosis result shows that the real-time monitoring data corresponding to the target parameter type is abnormal, until the real-time monitoring data of the corresponding parameter type is no longer abnormal.

[0154] The working principle of the above technical solution is: by inputting the real-time collected monitoring data into the multi-parameter diagnosis sub-model for a first analysis, the parameter type corresponding to the real-time collected monitoring data and the first diagnosis result after analyzing the real-time collected monitoring data (the first diagnosis result is the result after analyzing the real-time collected monitoring data in the multi-parameter diagnosis sub-model); by analyzing the first diagnosis result, that is, if the first diagnosis result shows that there is no abnormality in the monitoring data, the first diagnosis result is used as the first diagnosis result; if the first diagnosis result shows that there is an abnormality in the monitoring data, the target parameter type connected to the parameter type corresponding to the monitoring data is obtained; at the same time, the real-time monitoring data corresponding to the target parameter type is retrieved, and the real-time monitoring data corresponding to the target parameter type is input into the multi-parameter diagnosis sub-model for a second analysis, and the second diagnosis result is output, and by analyzing the second diagnosis result, that is, if the second diagnosis result shows that there is no abnormality in the real-time monitoring data corresponding to the target parameter type, the first diagnosis result is generated based on the first diagnosis result and the second diagnosis result; if the second diagnosis result shows that there is an abnormality in the real-time monitoring data corresponding to the target parameter type, iterative analysis based on the multi-parameter diagnosis sub-model continues until there is no abnormality in the real-time monitoring data of the corresponding parameter type.

[0155] The beneficial effect of the above technical solution is that it effectively realizes the multi-parameter diagnosis sub-model to analyze the monitoring data of different parameter types, without the need to input all the monitoring data of all parameter types into the multi-parameter diagnosis sub-model, and can also achieve comprehensive analysis of the abnormal monitoring data in each parameter type, which not only reduces the amount of data analysis, but also improves the effectiveness of the monitoring data analysis.

[0156] Embodiment 8:

[0157] Based on Example 4, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, a microprocessor analysis unit, including:

[0158] The monitoring data acquisition subunit is used to acquire self-diagnosis items for self-diagnosis of the low-voltage circuit breaker, and read the monitoring data corresponding to each self-diagnosis item when self-diagnosis of the low-voltage circuit breaker is performed in real time according to the self-diagnosis items;

[0159] The analysis subunit is used to input the monitoring data corresponding to each self-diagnosis item into the self-diagnosis sub-model for analysis and output a second diagnosis result.

[0160] In this embodiment, the second diagnosis result may be a result of analyzing the monitoring data corresponding to each self-diagnosis item based on the self-diagnosis sub-model.

[0161] The beneficial effect of the above technical solution is: by analyzing the monitoring data corresponding to each self-diagnosis item through the self-diagnosis sub-model, a good effect of accurately diagnosing the low-voltage circuit breaker is achieved.

[0162] Embodiment 9:

[0163] Based on Example 1, this embodiment provides an intelligent monitoring and self-diagnosis low-voltage circuit breaker, such as Figure 3 As shown, the communication transmission module includes:

[0164] A data transmission unit, used for transmitting the diagnosis result to the monitoring terminal based on a preset communication link;

[0165] The display unit is used to display the diagnosis result in the display interface of the monitoring terminal.

[0166] The beneficial effects of the above technical solution are: timely transmission and display of diagnostic results are achieved, and the effectiveness and intelligence of monitoring and self-diagnosis of low-voltage circuit breakers are improved, as well as the accuracy and comprehensiveness of monitoring and analysis.

[0167] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent monitoring and self-diagnostic low-voltage circuit breaker, characterized in that: include: A monitoring module is used to perform multi-parameter monitoring of the circuit based on the low-voltage circuit breaker, output monitoring data corresponding to each type of parameter, and at the same time, perform self-diagnosis on the low-voltage circuit breaker and output self-diagnosis data; The microprocessor module is used to construct an automatic diagnosis model, and input the monitoring data and self-diagnosis data corresponding to each type of parameter into the automatic diagnosis model for analysis, and output the diagnosis result; The communication transmission module is used to transmit the diagnosis results to the monitoring terminal and display the diagnosis results according to the display interface of the monitoring terminal; Microprocessor module, including: A model building unit, used for building an automatic diagnosis model; The automatic diagnosis model includes: a multi-parameter diagnosis sub-model and a self-diagnosis sub-model; The microprocessor analysis unit is used to transmit the monitoring data corresponding to each type of parameter to the multi-parameter diagnosis sub-model for analysis and output a first diagnosis result, and at the same time, transmit the self-diagnosis data to the self-diagnosis sub-model for analysis and output a second diagnosis result; Model building unit, including: The sample data retrieving subunit is used to retrieve the parameter type when the circuit is monitored by multiple parameters based on the low-voltage circuit breaker and the parameter sample data corresponding to each parameter type; The sample data reading and analyzing subunit is used to read the parameter sample data corresponding to each parameter type, and determine the first parameter sample data when the operation is normal and the second parameter sample data when the operation is abnormal in the parameter sample data corresponding to each parameter type; A data learning subunit is used to learn the first parameter sample data to obtain the data change characteristics corresponding to the first parameter sample data, and at the same time, learn the second parameter sample data to obtain the data change characteristics corresponding to the second parameter sample data; An operating condition determination subunit, used to obtain a normal operating condition corresponding to the current parameter type according to the data change characteristics corresponding to the first parameter sample data, and at the same time, obtain an abnormal operating condition corresponding to the current parameter type according to the data change characteristics corresponding to the second parameter sample data; The target connection acquisition subunit is used to: If the parameter sample data of the current parameter type belongs to an abnormal operating condition, determine whether the parameter sample data corresponding to the other parameter types are in an abnormal operating state; If the corresponding parameter sample data in other parameter types is in an abnormal operation state, obtain the target parameter type corresponding to the abnormal operation state; Associate the target parameter type with the current parameter type to obtain the target connection between the parameter types; The multi-parameter diagnosis sub-model construction sub-unit is used to construct the multi-parameter diagnosis sub-model based on the target connection between each parameter type, the corresponding normal operating conditions and abnormal operating conditions in each parameter type.

2. The intelligent monitoring and self-diagnostic low-voltage circuit breaker according to claim 1 is characterized in that: Monitoring module, including: The first monitoring unit is used for: Obtaining the circuit monitoring area and circuit monitoring parameters; Monitor the circuit monitoring area based on the circuit monitoring parameters of the low-voltage circuit breaker and output monitoring data corresponding to each type of parameter; A second monitoring unit is used to obtain a self-diagnosis device for the low-voltage circuit breaker, monitor the working state of the low-voltage circuit breaker in real time according to the self-diagnosis device, and output the self-diagnosis data of the low-voltage circuit breaker; The data management unit is used to manage the monitoring data of the low-voltage circuit breaker for monitoring the circuit and the self-diagnosis data of the low-voltage circuit breaker respectively.

3. The intelligent monitoring and self-diagnostic low-voltage circuit breaker according to claim 2 is characterized in that: Data management unit, including: A management section creation subunit, used to create a circuit monitoring management section and a self-diagnosis data management section respectively; Interval division subunit, used for: Reading a plurality of circuit monitoring areas, and performing identification codes on the plurality of circuit monitoring areas, and at the same time, performing a first division on the circuit monitoring management interval according to the identification codes to obtain a plurality of sub-circuit monitoring management intervals; Obtaining a parameter type of the circuit monitoring parameter, and performing a second division on each sub-circuit monitoring management interval according to the parameter type of the circuit monitoring parameter, to obtain a monitoring management block corresponding to each parameter type; The data storage subunit is used for: Setting a first time axis in a circuit monitoring management interval; Matching the first time axis with the monitoring management block, and adding the monitoring data to the corresponding monitoring management block according to the first time axis; Complete the data management and storage of monitoring data corresponding to each type of parameter according to the added results; The interval division subunit is further used for: Read the self-diagnosis items of the low voltage circuit breaker; Performing a third division on the self-diagnosis data management interval according to the self-diagnosis items to obtain a plurality of self-diagnosis data management sub-intervals; The data storage subunit is also used to set a second time axis in the self-diagnosis data management interval, correspond the second time axis to the self-diagnosis data management interval, and add the self-diagnosis data to the corresponding self-diagnosis data management sub-interval according to the second time axis to complete the data management and storage of the self-diagnosis data.

4. The intelligent monitoring and self-diagnostic low-voltage circuit breaker according to claim 1 is characterized in that: Model building unit, including: An item acquisition subunit is used to acquire self-diagnosis items when performing self-diagnosis on the low-voltage circuit breaker; A matching subunit, used to transmit the self-diagnosis items to a preset database for matching, and determine the upper safety threshold and the lower safety threshold corresponding to each self-diagnosis item; The self-diagnosis sub-model construction sub-unit is used to learn the upper safety threshold and the lower safety threshold corresponding to each self-diagnosis item and construct the self-diagnosis sub-model.

5. The intelligent monitoring and self-diagnostic low-voltage circuit breaker according to claim 1 is characterized in that: Microprocessor analysis unit, including: A data analysis subunit, used to input the real-time collected monitoring data into the multi-parameter diagnosis submodel for a first analysis, determine the parameter type corresponding to the real-time collected monitoring data and a first diagnosis result after analyzing the real-time collected monitoring data; The diagnostic result generating subunit is used to use the first diagnostic result as the first diagnostic result if the first diagnostic result shows that the monitoring data does not have an abnormality. The data analysis subunit is further used for: If the first diagnosis result shows that the monitoring data is abnormal, obtain the target parameter type connected to the parameter type corresponding to the monitoring data; Retrieving the real-time monitoring data corresponding to the target parameter type, and inputting the real-time monitoring data corresponding to the target parameter type into the multi-parameter diagnosis sub-model for a second analysis, and outputting a second diagnosis result; The diagnostic result generating subunit is further configured to generate a first diagnostic result based on the first diagnostic result and the second diagnostic result if the second diagnostic result shows that the real-time monitoring data corresponding to the target parameter type does not have an abnormality; The iterative analysis subunit is used to continue iterative analysis based on the multi-parameter diagnosis submodel if the second diagnosis result shows that the real-time monitoring data corresponding to the target parameter type is abnormal, until the real-time monitoring data of the corresponding parameter type is no longer abnormal.

6. The intelligent monitoring and self-diagnostic low-voltage circuit breaker according to claim 1, characterized in that: Microprocessor analysis unit, including: The monitoring data acquisition subunit is used to acquire self-diagnosis items for self-diagnosis of the low-voltage circuit breaker, and read the self-diagnosis data corresponding to each self-diagnosis item when monitoring the low-voltage circuit breaker in real time according to the self-diagnosis items; The analysis subunit is used to input the self-diagnosis data corresponding to each self-diagnosis item into the self-diagnosis sub-model for analysis, and output a second diagnosis result.

7. The intelligent monitoring and self-diagnosing low voltage circuit breaker according to claim 1, characterized in that: Communication transmission module, including: A data transmission unit, used for transmitting the diagnosis result to the monitoring terminal based on a preset communication link; The display unit is used to display the diagnosis result in the display interface of the monitoring terminal.

8. The intelligent monitoring and self-diagnosing low-voltage circuit breaker according to claim 7, characterized in that: The display unit includes: a display interface which is an LCD display screen.

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