CN112801315A - State diagnosis method and device for power secondary equipment and terminal - Google Patents
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Abstract
The invention is applicable to the technical field of power equipment fault diagnosis, and provides a method, a device and a terminal for diagnosing the state of power secondary equipment. Wherein the diagnostic method comprises: acquiring current operation data of the power secondary equipment; if the current operation data changes, performing state diagnosis on the secondary power equipment by using a preset state diagnosis model based on the current operation data, and performing associated diagnosis on the secondary power equipment based on the current operation data and a preset knowledge graph of the secondary power equipment to obtain a state diagnosis result of the secondary power equipment; and outputting the state diagnosis result to the power dispatching system so as to enable the power dispatching system to carry out state alarm. According to the method, the state diagnosis is performed on the power secondary equipment through the state diagnosis model, the power secondary equipment is subjected to correlation diagnosis through the power secondary equipment knowledge graph, and due to the fact that the state influence of the correlation equipment is considered, a comprehensive and accurate state diagnosis result can be obtained.
Description
Technical Field
The invention belongs to the technical field of power equipment fault diagnosis, and particularly relates to a method, a device, a terminal and a computer readable storage medium for diagnosing the state of power secondary equipment.
Background
The secondary equipment is an important component for measurement, protection and monitoring of the power system, and the secondary equipment with good operation is very important for the whole power system. Therefore, the reasonable diagnosis of the secondary equipment can prolong the service life of the equipment and ensure the economic and safe operation of the power system.
However, in the prior art, the secondary equipment is still diagnosed in a manual mode, so that the diagnosis result depends on personal experience, the diagnosis efficiency is low, the diagnosis result is inaccurate, and the safe operation of the power system is seriously threatened.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, a terminal and a computer readable storage medium for diagnosing a state of a power secondary device, so as to solve the problems of low diagnosis efficiency and inaccurate diagnosis result of the power secondary device in the prior art.
A first aspect of an embodiment of the present invention provides a method for diagnosing a state of a secondary power device, including:
acquiring current operation data of power secondary equipment in a power dispatching system;
if the current operation data is changed compared with the operation data at the previous moment, performing state diagnosis on the electric power secondary equipment by using a preset state diagnosis model based on the current operation data, and performing associated diagnosis on the electric power secondary equipment based on the current operation data and a preset electric power secondary equipment knowledge map to obtain a state diagnosis result of the electric power secondary equipment;
and outputting the state diagnosis result to the power dispatching system so that the power dispatching system carries out state alarm based on the state diagnosis result.
A second aspect of an embodiment of the present invention provides a state diagnostic device for a power secondary apparatus, including:
the power dispatching system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring current operation data of power secondary equipment in the power dispatching system;
the diagnosis unit is used for carrying out state diagnosis on the electric secondary equipment by using a preset state diagnosis model based on the current operation data and carrying out association diagnosis on the electric secondary equipment based on the current operation data and a preset electric secondary equipment knowledge map to obtain a state diagnosis result of the electric secondary equipment if the current operation data is changed compared with the operation data at the previous moment;
and the warning unit is used for outputting the state diagnosis result to the power dispatching system so as to enable the power dispatching system to carry out state warning based on the state diagnosis result.
A third aspect of embodiments of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for diagnosing the state of the power secondary device according to any one of the above items when executing the computer program.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, realizes the steps of the state diagnostic method for an electric power secondary device according to any one of the above.
Compared with the prior art, the invention has the following beneficial effects:
the method comprises the steps of obtaining current operation data of the power secondary equipment in the power dispatching system; if the current operation data is changed compared with the operation data at the previous moment, performing state diagnosis on the electric power secondary equipment by using a preset state diagnosis model based on the current operation data, and performing associated diagnosis on the electric power secondary equipment based on the current operation data and a preset electric power secondary equipment knowledge map to obtain a state diagnosis result of the electric power secondary equipment; and outputting the state diagnosis result to the power dispatching system so that the power dispatching system carries out state alarm based on the state diagnosis result. Therefore, the state diagnosis method and the system perform state diagnosis on the power secondary equipment through the state diagnosis model and perform correlation diagnosis on the power secondary equipment through the power secondary equipment knowledge graph, and due to the fact that the state influence of the correlation equipment is considered, a comprehensive and accurate state diagnosis result can be obtained, the labor input in power secondary equipment diagnosis is reduced, and the diagnosis efficiency and the accuracy of the diagnosis result are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of an implementation of a method for diagnosing a state of a power secondary device according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a state diagnosis apparatus for a power secondary device according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, it shows a flowchart of an implementation of the method for diagnosing the state of the secondary power device according to the embodiment of the present invention, which is detailed as follows:
s101, obtaining current operation data of the power secondary equipment in the power dispatching system.
In the embodiment of the invention, the power secondary equipment is auxiliary equipment for monitoring, measuring, controlling, protecting and adjusting the primary equipment in the power system, the operation data of the power secondary equipment can be generated in the operation process of the power secondary equipment, and the current operation data of the power secondary equipment can be acquired from the power dispatching system.
In S102, if the current operation data changes from the previous operation data, performing a state diagnosis on the secondary power device by using a preset state diagnosis model based on the current operation data, and performing a correlation diagnosis on the secondary power device based on the current operation data and a preset secondary power device knowledge map to obtain a state diagnosis result of the secondary power device.
In the embodiment of the invention, when the operation state of the electric power secondary equipment is changed compared with the operation state at the previous moment, the current operation data of the corresponding electric power secondary equipment is also changed compared with the operation data at the previous moment, so that the diagnosis model can directly output the current state of the electric power secondary equipment according to the current operation data, but the preset state diagnosis model cannot output the associated fault, and the preset electric power secondary equipment knowledge graph can embody the association between the entity of the electric power secondary equipment and the entity, so that the associated diagnosis is carried out through the preset electric power secondary equipment knowledge graph, and the obtained state diagnosis result of the electric power secondary equipment is more comprehensive and accurate.
S103, outputting the state diagnosis result to the power dispatching system so that the power dispatching system carries out state alarm based on the state diagnosis result.
In the embodiment of the invention, the state diagnosis result can represent the operation state of the power secondary equipment in the power dispatching system, and the power dispatching system can receive the state diagnosis result of the power secondary equipment, further perform state alarm and output alarm information.
Optionally, in an embodiment, the current operation data includes alarm information, overhaul information, and operation information;
the condition diagnosis result includes: normal state, attention required state, normal abnormal state and serious abnormal state.
In this embodiment, the alarm information may include a class I alarm and a class I alarm frequency, a class II alarm and a class II alarm frequency, a malfunction frequency, and a malfunction frequency; the overhaul information may include family defects, counter-accident measures, equipment defects; the operational information may include age.
Once the I-type alarm occurs, the relevant plug-in and module are required to be replaced in time, otherwise, the measurement and control and protection functions of primary equipment are lost; when a class II alarm occurs, the problem can be solved by resetting and downloading software again, and the secondary equipment cannot be threatened directly for the moment.
Optionally, in an embodiment, before acquiring current operation data of the power secondary device in the power scheduling system in S101, the method further includes:
acquiring historical operating data of the power secondary equipment;
carrying out normalization preprocessing on the historical operating data to obtain normalized data;
extracting power secondary equipment entity information from the normalized data based on an entity identification technology;
extracting entity attribute information of the electric power secondary equipment from the normalized data based on an entity attribute extraction technology;
and carrying out entity linking and fusion on the entity information of the electric power secondary equipment and the entity attribute information of the electric power secondary equipment to obtain the preset knowledge map of the electric power secondary equipment.
In the present embodiment, the historical operating data of the power secondary equipment may include structured data in the site relational database and unstructured data in the service list, and the data is subjected to BIO labeling.
The entity identification technology may extract power secondary equipment entity information from the normalized data center based on an entity identification model. For example, an electric power secondary equipment entity identification model may be established based on the BiLSTM + CRF model, and electric power secondary equipment entity information may be extracted based on the electric power secondary equipment identification model.
The entity-attribute extraction technique may extract the electric power secondary equipment entity-attribute information from the normalized data based on an entity-attribute extraction model. For example, an electric power secondary equipment entity attribute extraction model based on TextCNN may be established, and electric power secondary equipment entity attribute information may be extracted based on the electric power secondary equipment entity attribute extraction model.
After the electric power secondary equipment entity information and the electric power secondary equipment entity attribute information are obtained, entity linking and fusion are required to be performed on the electric power secondary equipment entity information and the electric power secondary equipment entity attribute information. Where entity linking may include entity disambiguation and object alignment. Entity disambiguation can be used for solving the problem that the same-name entity generates ambiguity, and entity links can be accurately established according to the current context through the entity disambiguation; object alignment may be used to solve the problem of multiple references corresponding to the same entity object, e.g., multiple references may point to the same entity object in a single session. These references can be associated or merged to the correct entity object using object alignment techniques. The fusion can be used for solving the problem that the obtained information is lack of hierarchy and logicality, and can also be used for solving the problem that a large amount of redundancy and errors exist in the information.
Optionally, in an embodiment, before acquiring current operation data of the power secondary device in the power scheduling system in S101, the method further includes:
constructing an initial state diagnosis model;
acquiring historical operating data of the power secondary equipment;
creating a sample set of state information based on the historical operating data;
and training the initial state diagnosis model by using the state information sample set to obtain the preset state diagnosis model.
In this embodiment, an initial state diagnostic model may be defined based on the XGBoost algorithm, and then the initial state diagnostic model is trained by using the created information sample set as a training sample to obtain a preset state diagnostic model. The process of training the initial state diagnosis model can be realized in an iteration mode, each iteration does not affect the original model, namely the original model is kept unchanged, and a new function is added into the original model. The iterative process may include:
wherein the content of the first and second substances,
it is possible to represent the initial defined value,
a prediction value for the first tree may be represented,
a predicted value of the top t pieces can be represented.
One function corresponds to one tree, the newly generated tree fits the residual of the last iteration, and the residual can represent the difference between the predicted value and the true value. An over-fitting phenomenon may occur in the fitting process, so a regularization penalty function is adopted to reduce the risk of the over-fitting phenomenon, and the expression may include:
wherein, XobjThe representation of the objective function is shown as,
it is possible to represent the residual error,
can represent the regularization term of the objective function, T can represent the number of leaf nodes, gamma can represent the coefficient of the penalty function, omegajMay represent the fraction of leaf nodes and λ may represent the control leaf node coefficient.
And a state information sample set is created through historical operating data, the state information sample set is used as a training sample, and the training data volume is increased to reduce the risk of the over-fitting phenomenon.
Optionally, in an embodiment, the initial state diagnostic model includes: a classification regression tree model whose mathematical representation may be:
wherein K is the number of trees; f. oft(xi) Is a regression tree model;
predicting the result for the regression tree; x is the number ofiIs the input ith data; r is a regression tree model set, i represents a sample serial number, and n represents the number of samples;
wherein the content of the first and second substances,
according to the method, the current operation data of the power secondary equipment in the power dispatching system is obtained; if the current operation data is changed compared with the operation data at the previous moment, performing state diagnosis on the electric power secondary equipment by using a preset state diagnosis model based on the current operation data, and performing associated diagnosis on the electric power secondary equipment based on the current operation data and a preset electric power secondary equipment knowledge map to obtain a state diagnosis result of the electric power secondary equipment; and outputting the state diagnosis result to the power dispatching system so that the power dispatching system carries out state alarm based on the state diagnosis result. Therefore, the state diagnosis method and the system perform state diagnosis on the power secondary equipment through the state diagnosis model and perform correlation diagnosis on the power secondary equipment through the power secondary equipment knowledge graph, and due to the fact that the state influence of the correlation equipment is considered, a comprehensive and accurate state diagnosis result can be obtained, the labor input in power secondary equipment diagnosis is reduced, and the diagnosis efficiency and the accuracy of the diagnosis result are improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 2 is a schematic structural diagram of a state diagnosis device for a power secondary device according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, and detailed descriptions are as follows:
as shown in fig. 2, the state diagnostic device 2 of the power secondary equipment includes: a first acquisition unit 21, a diagnosis unit 22, and an alarm unit 23.
A first acquisition unit 21 configured to acquire current operation data of the power secondary equipment in the power scheduling system;
the diagnosis unit 22 is configured to perform state diagnosis on the secondary power equipment by using a preset state diagnosis model based on the current operation data if the current operation data changes from the operation data at the previous time, and perform association diagnosis on the secondary power equipment based on the current operation data and a preset secondary power equipment knowledge map to obtain a state diagnosis result of the secondary power equipment;
and an alarm unit 23, configured to output the state diagnosis result to the power dispatching system, so that the power dispatching system performs a state alarm based on the state diagnosis result.
Optionally, the current operation data includes alarm information, overhaul information, and operation information;
the condition diagnosis result includes: normal state, attention required state, normal abnormal state and serious abnormal state.
Optionally, the diagnostic apparatus 2 of the power secondary device further includes:
a second acquisition unit configured to acquire historical operation data of the power secondary device;
the third acquisition unit is used for carrying out normalization preprocessing on the historical operating data to obtain normalized data;
an information extraction unit, configured to extract secondary device entity information from the normalized data based on an entity identification technique;
the information extraction unit is used for extracting entity attribute information of the secondary equipment from the normalized data based on an entity attribute extraction technology;
and the knowledge map acquisition unit is used for carrying out entity linkage and fusion on the secondary equipment entity information and the secondary equipment entity attribute information to acquire the preset power secondary equipment knowledge map.
Optionally, the diagnostic apparatus 2 of the power secondary device further includes:
the state diagnosis model building unit is used for building an initial state diagnosis model;
a sample set creating unit for creating a state information sample set based on the historical operating data;
and the diagnostic model acquisition unit is used for training the initial state diagnostic model by using the state information sample set to obtain the preset state diagnostic model.
Optionally, the initial state diagnostic model includes: a classification regression tree model whose mathematical representation is:
wherein K is the number of the regression tree, ft(xi) In order to be a regression tree model,
for regression Tree prediction results, xiFor the ith input data, R is a regression tree model set, i represents a sample serial number, and n represents the number of samples;
wherein the content of the first and second substances,
fig. 3 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 3, the terminal 3 of this embodiment includes: a processor 30, a memory 31 and a computer program 32 stored in said memory 31 and executable on said processor 30. The processor 30 implements the steps in the above-described respective embodiments of the state diagnosing method for the electric power secondary device, such as S101 to S103 shown in fig. 1, when executing the computer program 32. Alternatively, the processor 30, when executing the computer program 32, implements the functions of the units in the above-described device embodiments, such as the functions of the units 21 to 23 shown in fig. 2.
Illustratively, the computer program 32 may be divided into one or more units, which are stored in the memory 31 and executed by the processor 30 to accomplish the present invention. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 32 in the terminal 3. For example, the computer program 32 may be divided into a first obtaining unit, a diagnosis unit, and an alarm unit, and the specific functions of each unit are as follows:
the power dispatching system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring current operation data of power secondary equipment in the power dispatching system;
the diagnosis unit is used for carrying out state diagnosis on the electric secondary equipment by using a preset state diagnosis model based on the current operation data and carrying out association diagnosis on the electric secondary equipment based on the current operation data and a preset electric secondary equipment knowledge map to obtain a state diagnosis result of the electric secondary equipment if the current operation data is changed compared with the operation data at the previous moment;
and the warning unit is used for outputting the state diagnosis result to the power dispatching system so as to enable the power dispatching system to carry out state warning based on the state diagnosis result.
The terminal 3 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal may include, but is not limited to, a processor 30, a memory 31. It will be appreciated by those skilled in the art that fig. 3 is only an example of a terminal 3 and does not constitute a limitation of the terminal 3 and may comprise more or less components than those shown, or some components may be combined, or different components, e.g. the terminal may further comprise input output devices, network access devices, buses, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the terminal 3, such as a hard disk or a memory of the terminal 3. The memory 31 may also be an external storage device of the terminal 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the terminal 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal 3. The memory 31 is used for storing the computer program and other programs and data required by the terminal. The memory 31 may also be used to temporarily store data that has been output or is to be output.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units is merely illustrated, and in practical applications, the above distribution of functions may be performed by different functional units according to needs, that is, the internal structure of the apparatus may be divided into different functional units to perform all or part of the functions described above. Each functional unit in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the application. The specific working process of the units in the system may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, terminal and method may be implemented in other ways. For example, the above-described embodiments of the apparatus and terminal are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when the actual implementation is performed, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method of diagnosing a state of a power secondary device, characterized by comprising:
acquiring current operation data of power secondary equipment in a power dispatching system;
if the current operation data is changed compared with the operation data at the previous moment, performing state diagnosis on the electric power secondary equipment by using a preset state diagnosis model based on the current operation data, and performing associated diagnosis on the electric power secondary equipment based on the current operation data and a preset electric power secondary equipment knowledge map to obtain a state diagnosis result of the electric power secondary equipment;
and outputting the state diagnosis result to the power dispatching system so that the power dispatching system carries out state alarm based on the state diagnosis result.
2. The state diagnostic method of an electric power secondary equipment according to claim 1, characterized in that the current operation data includes alarm information, overhaul information, and operation information;
the condition diagnosis result includes: normal state, attention required state, normal abnormal state and serious abnormal state.
3. The method for diagnosing the state of an electric power secondary device according to claim 2, further comprising, before the acquiring current operation data of the electric power secondary device in the electric power scheduling system:
acquiring historical operating data of the power secondary equipment;
carrying out normalization preprocessing on the historical operating data to obtain normalized data;
extracting power secondary equipment entity information from the normalized data based on an entity identification technology;
extracting entity attribute information of the electric power secondary equipment from the normalized data based on an entity attribute extraction technology;
and carrying out entity linking and fusion on the entity information of the electric power secondary equipment and the entity attribute information of the electric power secondary equipment to obtain the preset knowledge map of the electric power secondary equipment.
4. The state diagnostic method of an electric power secondary device according to claim 3, characterized by further comprising, before the acquiring current operation data of the electric power secondary device in the electric power scheduling system:
constructing an initial state diagnosis model;
acquiring historical operating data of the power secondary equipment;
creating a sample set of state information based on the historical operating data;
and training the initial state diagnosis model by using the state information sample set to obtain the preset state diagnosis model.
5. The state diagnostic method of an electric power secondary device according to claim 4, characterized in that the initial state diagnostic model includes: a classification regression tree model whose mathematical representation is:
wherein K is the number of the regression tree, ft(xi) Is a regression tree model, y ^ aiFor regression Tree prediction results, xiFor the ith input data, R is a regression tree model set, i represents a sample serial number, and n represents the number of samples;
wherein the content of the first and second substances,
6. a state diagnostic device for an electric power secondary equipment, characterized by comprising:
the power dispatching system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring current operation data of power secondary equipment in the power dispatching system;
the diagnosis unit is used for carrying out state diagnosis on the electric secondary equipment by using a preset state diagnosis model based on the current operation data and carrying out association diagnosis on the electric secondary equipment based on the current operation data and a preset electric secondary equipment knowledge map to obtain a state diagnosis result of the electric secondary equipment if the current operation data is changed compared with the operation data at the previous moment;
and the warning unit is used for outputting the state diagnosis result to the power dispatching system so as to enable the power dispatching system to carry out state warning based on the state diagnosis result.
7. The state diagnostic apparatus of an electric power secondary device according to claim 6, characterized in that the current operation data includes alarm information, overhaul information, and operation information;
the condition diagnosis result includes: normal state, attention required state, normal abnormal state and serious abnormal state.
8. The apparatus for diagnosing a state of an electric power secondary device according to claim 7, further comprising:
a second acquisition unit configured to acquire historical operation data of the power secondary device;
the third acquisition unit is used for carrying out normalization preprocessing on the historical operating data to obtain normalized data;
an information extraction unit, configured to extract secondary device entity information from the normalized data based on an entity identification technique;
the information extraction unit is used for extracting entity attribute information of the secondary equipment from the normalized data based on an entity attribute extraction technology;
and the knowledge map acquisition unit is used for carrying out entity linkage and fusion on the secondary equipment entity information and the secondary equipment entity attribute information to acquire the preset power secondary equipment knowledge map.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method for diagnosing the status of an electric power secondary device as claimed in any one of claims 1 to 5 above.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the state diagnostic method for an electric power secondary device according to any one of claims 1 to 5 above.
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