Power plant equipment state acquisition method, system, equipment, medium and program product

Abstract

The invention provides a state acquisition method, system and device of power plant equipment, a medium and a program product. The state acquisition method comprises the following steps: acquiring actual operation data and actual measurement data of the power plant equipment; taking the actual operation data and the actual measurement data as input of an equipment state model to obtain an actual state value corresponding to the power plant equipment; wherein the equipment state model is obtained by training on the basis of historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical state values, and the historical state values are obtained by processing on the basis of the historical operation data. According to the actual operation data and the actual measurement data of the power plant equipment, the actual state value corresponding to the power plant equipment is obtained, the accuracy and reliability of the actual state value are improved, major equipment faults, equipment accidents and personnel injury accidents are avoided, and the safety of the power plant environment is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of information processing of power plant equipment, and in particular to a method, system, device, medium and program product for acquiring status of power plant equipment. Background Art

[0002] Abnormalities in power plant equipment can affect the normal operation of the power plant control system where the equipment is located, and may even cause serious system failures. In addition, there are serious safety hazards at the site of equipment abnormalities, which may cause harm to on-site inspectors, maintenance personnel, and repair personnel. Therefore, it is necessary to monitor the status of power plant equipment.

[0003] At present, the status monitoring of power plant equipment is only based on the actual operation data of the power plant equipment, and the status value of the power plant equipment is analyzed from the perspective of business operation logic, which has problems of low accuracy and low reliability. Summary of the invention

[0004] The technical problem to be solved by the present disclosure is to overcome the defects of low accuracy and low reliability in the prior art of obtaining the status value of power plant equipment only by analyzing the actual operating data of the power plant equipment, and to provide a method, system, device, medium and program product for obtaining the status of power plant equipment.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] The present disclosure provides a method for obtaining the status of power plant equipment, the method comprising:

[0007] Acquiring actual operation data and actual measurement data of the power plant equipment;

[0008] Using the actual operation data and the actual measurement data as inputs of an equipment state model to obtain actual state values ​​corresponding to the power plant equipment;

[0009] The equipment status model is trained based on historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical status values, and the historical status values ​​are processed based on the historical operation data.

[0010] Preferably, the actual measurement data includes infrared thermal imaging data and / or vibration data of the power plant equipment;

[0011] and / or,

[0012] The power plant equipment includes at least one of power plant heat exchange equipment, pipelines, transformers, frequency converters, rectifiers and traction motors;

[0013] and / or,

[0014] The actual status value includes a health score.

[0015] Preferably, after the step of using the actual operation data and the actual measurement data as inputs of the equipment state model to obtain the actual state value corresponding to the power plant equipment, the method further comprises:

[0016] In response to the actual state value not belonging to a preset state range, a warning message is output.

[0017] Preferably, the historical measurement data is acquired based on preset time intervals.

[0018] Preferably, the state acquisition method further includes:

[0019] Retraining the device state model to obtain a new device state model;

[0020] The actual operation data and the actual measurement data are used as inputs of a new device state model to obtain a new actual state value.

[0021] Preferably, the step of retraining the device state model to obtain a new device state model comprises:

[0022] Retraining the device state model based on a preset time length to obtain a new device state model;

[0023] or,

[0024] In response to the actual operation data being within a first preset range, retraining the device state model to obtain a new device state model;

[0025] or,

[0026] In response to the actual state value being within a second preset range, the device state model is retrained to obtain a new device state model.

[0027] The present disclosure also provides a state acquisition system for power plant equipment, the state acquisition system comprising:

[0028] A data acquisition module, used to acquire actual operation data and actual measurement data of the power plant equipment;

[0029] A state value acquisition module, used to use the actual operation data and the actual measurement data as inputs of an equipment state model to obtain actual state values ​​corresponding to the power plant equipment;

[0030] The equipment status model is trained based on historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical status values, and the historical status values ​​are processed based on the historical operation data.

[0031] Preferably, the actual measurement data includes infrared thermal imaging data and / or vibration data of the power plant equipment;

[0032] and / or,

[0033] The power plant equipment includes at least one of power plant heat exchange equipment, pipelines, transformers, frequency converters, rectifiers and traction motors;

[0034] and / or,

[0035] The actual status value includes a health score.

[0036] Preferably, the status acquisition system further includes:

[0037] The warning module is used to output warning information in response to the actual state value not belonging to the preset state range.

[0038] Preferably, the historical measurement data is acquired based on preset time intervals.

[0039] Preferably, the status acquisition system further includes:

[0040] A retraining module, used for retraining the device state model to obtain a new device state model;

[0041] The new state value acquisition module is used to use the actual operation data and the actual measurement data as inputs of the new device state model to obtain the new actual state value.

[0042] Preferably, the retraining module is further used to retrain the device state model based on a preset time length to obtain a new device state model;

[0043] or,

[0044] In response to the actual operation data being within a first preset range, retraining the device state model to obtain a new device state model;

[0045] or,

[0046] In response to the actual state value being within a second preset range, the device state model is retrained to obtain a new device state model.

[0047] The present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and used to run on the processor, and the processor implements the above-mentioned method for obtaining the status of power plant equipment when executing the computer program.

[0048] The present disclosure also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for acquiring the status of power plant equipment described above is implemented.

[0049] The present disclosure also provides a computer program product, including a computer program, wherein when the computer program is executed by a processor, the method for acquiring the status of power plant equipment as described above is implemented.

[0050] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0051] The positive and progressive effects of this disclosure are:

[0052] The present invention obtains the actual status value corresponding to the power plant equipment based on the actual operation data and actual measurement data of the power plant equipment, thereby improving the accuracy and reliability of the actual status value, avoiding the occurrence of major equipment failures, equipment accidents, and personnel injuries, and improving the safety of the power plant environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a flow chart of a method for acquiring the status of power plant equipment according to Embodiment 1 of the present disclosure;

[0054] Figure 2 This is a schematic diagram of the interaction between a computer and an external device in the method for obtaining the status of power plant equipment according to Embodiment 2 of the present disclosure;

[0055] Figure 3 This is a flow chart of a method for acquiring the status of power plant equipment according to Embodiment 2 of the present disclosure;

[0056] Figure 4 This is a schematic diagram of the training process of the device state model of Embodiment 2 of the present disclosure;

[0057] Figure 5 This is a schematic diagram of the application process of the device state model of Embodiment 2 of the present disclosure;

[0058] Figure 6 This is a module diagram of a system for acquiring the status of power plant equipment according to Embodiment 3 of the present disclosure;

[0059] Figure 7 This is a module schematic diagram of a system for acquiring the status of power plant equipment according to Embodiment 4 of the present disclosure;

[0060] Figure 8This is a schematic diagram of the structure of an electronic device according to Embodiment 5 of the present disclosure. DETAILED DESCRIPTION

[0061] The present disclosure is further described below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0062] Prefixes such as "first" and "second" are used in the embodiments of the present disclosure only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. The use of prefixes such as ordinal numbers to distinguish description objects in the embodiments of the present disclosure does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the claims or embodiments, and no unnecessary limitation should be constituted due to the use of such prefixes. In addition, in the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0063] In the embodiments of the present disclosure, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0064] Example 1

[0065] This embodiment provides a method for obtaining the status of power plant equipment, such as Figure 1 As shown, the state acquisition method includes:

[0066] S101, obtaining actual operation data and actual measurement data of power plant equipment;

[0067] S102, using the actual operation data and the actual measurement data as inputs of the equipment status model to obtain the actual status values ​​corresponding to the power plant equipment;

[0068] The equipment status model is trained based on historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical status values, and the historical status values ​​are processed based on the historical operation data.

[0069] In this embodiment, the actual status value corresponding to the power plant equipment is obtained based on the actual operating data and actual measurement data of the power plant equipment, which improves the accuracy and reliability of the actual status value, avoids major equipment failures, equipment accidents, and personal injuries, and improves the safety of the power plant environment.

[0070] Example 2

[0071] This embodiment provides a method for obtaining the status of power plant equipment, which is a further improvement on Embodiment 1.

[0072] In one feasible solution, the actual measurement data includes infrared thermal imaging data and / or vibration data of the power plant equipment.

[0073] Specifically, the method for obtaining the status of power plant equipment is set in a computer. The schematic diagram of the interaction between the computer and the external device where the method for obtaining the status of power plant equipment is set is as follows: Figure 2 The external equipment includes the sensor of the device under test, the infrared thermal imaging acquisition device, the vibration acquisition device and the computer where the actual operation data of the device under test is located.

[0074] The power plant equipment is the equipment under test, and sensors are deployed at the location of the equipment under test, including infrared thermal imaging cameras and vibration sensors; select several infrared thermal imaging cameras and install them at appropriate locations near the equipment under test; select several vibration sensors and install them at appropriate locations on the equipment under test, or install them near the equipment under test.

[0075] For the infrared thermal imaging acquisition camera, an infrared thermal imaging acquisition device is set up to complete the signal acquisition and processing, and send the data to the computer where the power plant equipment status acquisition method is located using a specific transmission protocol; for the vibration sensor, a vibration acquisition device is set up to complete the signal acquisition and processing, and send the data to the computer where the power plant equipment status acquisition method is located using a specific transmission protocol.

[0076] The device under test is in the power plant control system, and the actual operation data of the device under test can be transmitted to the computer where the power plant device status acquisition method is located using a common or dedicated interface.

[0077] The infrared thermal imaging data collected by the infrared thermal imaging acquisition camera can be an infrared thermal imaging image. For the equipment under test, such as the heat exchange equipment of a power plant, when its actual state value is in the healthy range, the temperatures of its inlet and outlet are basically the same, and its corresponding infrared thermal imaging image shows that the heating is uniform. If the infrared thermal imaging image shows that the local heat is high, the position of the infrared thermal imaging acquisition camera can assist in quickly locating the fault location of the heat exchange equipment of the power plant.

[0078] For a small device under test, an infrared thermal imaging camera can be used to collect infrared thermal imaging images. The camera is fixed near the device under test, so the fault location can be determined;

[0079] For large devices under test, multiple cameras can be used, each of which is in a fixed position. Therefore, the fault location can be determined based on the position of the camera corresponding to the infrared thermal imaging image with high local heat.

[0080] In this solution, by collecting infrared thermal imaging data and vibration data of power plant equipment and combining them with the actual operation data of the power plant equipment, the actual status values ​​corresponding to the power plant equipment are obtained, thereby improving the accuracy and reliability of the actual status values; the use of infrared thermal imaging data can assist in the rapid location of faults, shorten the fault repair time, and thus avoid major equipment failures, equipment accidents, and personal injuries.

[0081] In an implementable solution, the power plant equipment includes at least one of power plant heat exchange equipment, pipelines, transformers, frequency converters, rectifiers and traction motors.

[0082] Specifically, for heat exchange equipment, pipelines and traction motors in power plants, the actual measurement data may include infrared thermal imaging data and vibration data; for transformers, frequency converters and rectifiers, since there is no obvious vibration, the actual measurement data may only include infrared thermal imaging data but not vibration data.

[0083] In this solution, the actual status values ​​of various types of power plant equipment can be obtained to achieve comprehensive monitoring of the power plant environment and improve the safety of the power plant environment.

[0084] In one implementable solution, the actual status value includes a health score.

[0085] Specifically, the health score may be a score value in the range of 0-100 points, which is only an example and may be set or adjusted according to actual conditions.

[0086] In this solution, the actual status of the power plant equipment is represented by health scores, which improves the convenience of representing the status of the power plant equipment.

[0087] In one feasible solution, Figure 3 As shown, after step S102, the following steps are also included:

[0088] S103: In response to the actual state value not belonging to the preset state range, outputting warning information.

[0089] Specifically, the preset status range may be a health threshold. When the actual status value deviates from the health threshold, an early warning is triggered to alert operation and maintenance personnel.

[0090] In this solution, when the status value of the power plant equipment does not fall within the preset status range, an early warning message is output to remind the operation and maintenance personnel, thereby avoiding major equipment failures, equipment accidents, and personal injuries, and improving the safety of the power plant environment.

[0091] In one feasible solution, the historical measurement data is acquired based on a preset time interval.

[0092] Specifically, the method for acquiring the status of power plant equipment acquires data through a data interface program, stores the data through a database, has a model training process and a model application process, and can also display the data in the form of images.

[0093] The data interface program includes: the data interface program for infrared thermal imaging acquisition device; the data interface program for vibration acquisition device; the interface program for reading the actual operation data of the device under test. Different acquisition devices are configured with different interface programs; other systems where the device under test is located, such as power plant control systems, are configured with different interface programs. The calling process of the interface program is configured and managed through parameter files.

[0094] The database is configured with a real-time database and a historical database, and is equipped with a real-time data storage program and a historical data storage program.

[0095] Infrared thermal imaging data can be stored in the real-time library, or the supporting data interface program can be directly called to complete real-time data stream access when in use; the operation data and vibration data of power plant equipment, such as the original vibration waveform, are configured with a real-time data storage program and stored in the real-time library, which provides a corresponding data access interface.

[0096] The infrared thermal imaging data, vibration data and operation data are configured with a historical data storage program and a data access interface program to store the corresponding historical data in a historical library and access the historical library when needed.

[0097] During the model training process, a suitable machine learning algorithm, i.e., a model training algorithm, is selected to train the device status model, such as a convolutional neural network algorithm.

[0098] like Figure 4 The figure shows a schematic diagram of the training process of the equipment status model. The historical data is processed by the data analysis algorithm and the model training algorithm to obtain the equipment status model. The historical data includes historical operation data and historical measurement data.

[0099] Power plant equipment has corresponding operation logic. The historical operation data of power plant equipment can be used to obtain the historical status value of the power plant equipment through data analysis algorithms. Specifically, the data analysis algorithm is configured according to the specific power plant equipment, and analyzes the historical operation data of each power plant equipment from a business perspective to obtain a health score, that is, a historical status value.

[0100] The equipment status model is obtained by training the historical operation data, historical measurement data and historical status values ​​through the model training algorithm. Among them, the historical operation data and historical measurement data are used as the input of the equipment status model, and the historical status values ​​are used as the output of the equipment status model. The historical measurement data includes historical infrared thermal imaging data and historical vibration data.

[0101] The historical measurement data is obtained based on a preset time interval, that is, the historical infrared thermal imaging data at a certain moment and the historical vibration data at the same moment are read. The length of the preset time interval is set according to actual needs.

[0102] For historical operation data, data cleaning preprocessing is performed according to the data quality. For example, in the time dimension, missing data is supplemented and bad data and abnormal data are corrected.

[0103] During the training process of the device state model, data interaction is performed through the image display interface, parameters of the device state model are set, and a suitable device state model is selected to complete the training process of the device state model.

[0104] like Figure 5 The figure shows the application process of the equipment status model. Real-time data is input into the equipment status model to obtain the actual status value, so as to output alarm information or early warning information. Real-time data includes actual operation data and actual measurement data. The actual status value is displayed in the form of an image, and the data displayed in the image also includes actual operation data and vibration data.

[0105] In this solution, historical measurement data is obtained based on preset time intervals, which ensures the accuracy and reliability of the training data of the device status model and improves the accuracy of the device status model.

[0106] In one feasible solution, Figure 3 As shown, the state acquisition method also includes:

[0107] S104, retraining the device state model to obtain a new device state model;

[0108] S105. Using the actual operation data and the actual measurement data as inputs of a new equipment state model to obtain a new actual state value.

[0109] In this solution, the device status model is retrained to ensure the accuracy and reliability of the device status model and improve the accuracy and reliability of the actual status value.

[0110] In one feasible solution, step S104 includes:

[0111] Based on the preset duration, the device state model is retrained to obtain a new device state model.

[0112] Specifically, after the current device state model runs for a preset time, a new device state model is retrained, and the preset time is set according to actual needs.

[0113] In this solution, a new device status model is retrained based on a preset duration, ensuring the real-time, accuracy and reliability of the device status model.

[0114] In one feasible solution, step S104 includes:

[0115] In response to the actual operation data being within the first preset range, the device state model is retrained to obtain a new device state model.

[0116] Specifically, when the actual operation data of the power plant equipment is within the first preset range, it indicates that the current equipment state model is invalid, and a new equipment state model is obtained by retraining. The first preset range is set according to actual needs.

[0117] In this solution, a new equipment status model is retrained when the actual operation data is within the first preset range, thereby ensuring the real-time, accuracy and reliability of the equipment status model.

[0118] In one feasible solution, step S104 includes:

[0119] In response to the actual state value being within the second preset range, the device state model is retrained to obtain a new device state model.

[0120] Specifically, when the actual state value output by the current device state model is within the second preset range, it indicates that the current device state model is invalid, and a new device state model is obtained by retraining. The second preset range is set according to actual needs.

[0121] In this solution, a new device state model is retrained when the actual state value is within the second preset range, thereby ensuring the real-time, accuracy and reliability of the device state model.

[0122] The working principle of the method for obtaining the status of power plant equipment in this embodiment is explained below with reference to specific examples:

[0123] Acquire actual operation data and actual measurement data of power plant equipment; wherein the actual measurement data includes infrared thermal imaging data and vibration data; use the actual operation data and actual measurement data as inputs of an equipment status model to obtain actual status values ​​of power plant equipment; in response to the actual status value not belonging to a preset status range, output warning information; based on a preset time length, retrain the equipment status model to obtain a new equipment status model; use the actual operation data and actual measurement data as inputs of the new equipment status model to obtain new actual status values.

[0124] In this embodiment, the actual status value corresponding to the power plant equipment is obtained based on the actual operating data and actual measurement data of the power plant equipment, which improves the accuracy and reliability of the actual status value, avoids major equipment failures, equipment accidents, and personal injuries, and improves the safety of the power plant environment.

[0125] Example 3

[0126] This embodiment provides a system for obtaining the status of power plant equipment. Figure 6 As shown, the status acquisition system includes:

[0127] Data acquisition module 1, used to acquire actual operation data and actual measurement data of power plant equipment;

[0128] The state value acquisition module 2 is used to use the actual operation data and the actual measurement data as the input of the equipment state model to obtain the actual state value corresponding to the power plant equipment;

[0129] The equipment status model is trained based on historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical status values, and the historical status values ​​are processed based on the historical operation data.

[0130] In this embodiment, the actual status value corresponding to the power plant equipment is obtained based on the actual operating data and actual measurement data of the power plant equipment, which improves the accuracy and reliability of the actual status value, avoids major equipment failures, equipment accidents, and personal injuries, and improves the safety of the power plant environment.

[0131] Example 4

[0132] This embodiment provides a system for acquiring the status of power plant equipment, which is a further improvement on Embodiment 3.

[0133] In an implementable solution, the actual measurement data includes infrared thermal imaging data and / or vibration data of the power plant equipment;

[0134] and / or,

[0135] The power plant equipment includes at least one of power plant heat exchange equipment, pipelines, transformers, frequency converters, rectifiers and traction motors;

[0136] and / or,

[0137] The actual status value includes the health score.

[0138] In one feasible solution, Figure 7 As shown, the status acquisition system also includes:

[0139] The warning module 3 is used to output warning information in response to the actual state value not belonging to the preset state range.

[0140] In one feasible solution, the historical measurement data is acquired based on a preset time interval.

[0141] Specifically, the power plant equipment status acquisition system further includes a data interface module 4 , a database module 5 , a calculation module 6 and a display module 7 .

[0142] The data interface module 4 includes: a data interface program for the infrared thermal imaging acquisition device; a data interface program for the vibration acquisition device; and an interface program for reading the actual operation data of the device under test. Different acquisition devices are configured with different interface programs; other systems where the device under test is located, such as power plant control systems, are configured with different interface programs. The calling process of the interface program is configured and managed through parameter files.

[0143] The database module 5 is configured with a real-time database and a historical database, and is equipped with a real-time data storage program and a historical data storage program.

[0144] Infrared thermal imaging data can be stored in the real-time library, or the supporting data interface program can be directly called to complete real-time data stream access when in use; the operation data and vibration data of power plant equipment, such as the original vibration waveform, are configured with a real-time data storage program and stored in the real-time library, which provides a corresponding data access interface.

[0145] The infrared thermal imaging data, vibration data and operation data are configured with a historical data storage program and a data access interface program to store the corresponding historical data in a historical library and access the historical library when needed.

[0146] The calculation module 6 includes a model training unit and a model application unit. The model training unit selects a suitable machine learning algorithm, i.e., a model training algorithm, to train the equipment state model, such as a convolutional neural network algorithm. The model application unit inputs real-time data into the equipment state model to obtain the actual state value, so as to output alarm information or early warning information. The real-time data includes actual operation data and actual measurement data. The actual state value is displayed by the display module 7.

[0147] The display module 7 displays data in the form of images, and the displayed data includes actual operation data, vibration data and actual state values.

[0148] In an implementable solution, the status acquisition system further includes:

[0149] A retraining module 8, used for retraining the device state model to obtain a new device state model;

[0150] The new state value acquisition module 9 is used to use the actual operation data and the actual measurement data as inputs of a new equipment state model to obtain a new actual state value.

[0151] Preferably, the retraining module 8 is further used to retrain the device state model based on a preset time length to obtain a new device state model;

[0152] or,

[0153] In response to the actual operation data being within a first preset range, retraining the device state model to obtain a new device state model;

[0154] or,

[0155] In response to the actual state value being within the second preset range, the device state model is retrained to obtain a new device state model.

[0156] In this embodiment, the actual status value corresponding to the power plant equipment is obtained based on the actual operating data and actual measurement data of the power plant equipment, which improves the accuracy and reliability of the actual status value, avoids major equipment failures, equipment accidents, and personal injuries, and improves the safety of the power plant environment.

[0157] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only illustrative, wherein the units described as separate components may or may not be physically separated, and the components as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution.

[0158] Example 5

[0159] Figure 8 This is a structural schematic diagram of an electronic device shown in an example embodiment of the present disclosure, the electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor, and when the processor executes the computer program, the state acquisition method of the power plant equipment described in any of the above embodiments is implemented. Figure 8 The electronic device 90 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0160] like Figure 8As shown, the electronic device 90 may be in the form of a general-purpose computing device, for example, it may be a server device. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 connecting different system components (including the memory 92 and the processor 91).

[0161] The bus 93 includes a data bus, an address bus, and a control bus.

[0162] The memory 92 may include a volatile memory, such as a random access memory (RAM) 921 and / or a cache memory 922 , and may further include a read only memory (ROM) 923 .

[0163] The memory 92 may also include a program tool 925 (or utility) having a set (at least one) of program modules 924, such program modules 924 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0164] The processor 91 executes various functional applications and data processing by running the computer program stored in the memory 92, such as the state acquisition method of the power plant equipment provided in any of the above embodiments.

[0165] The electronic device 90 may also communicate with one or more external devices 94 (e.g., keyboards, pointing devices, etc.). Such communication may be performed via an input / output (I / O) interface 95. Furthermore, the electronic device 90 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 96. As shown, the network adapter 96 communicates with other modules of the electronic device 90 via a bus 93. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0166] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided into multiple units / modules to be embodied.

[0167] Example 6

[0168] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the method for obtaining the status of power plant equipment provided in any of the above embodiments is implemented.

[0169] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0170] Example 7

[0171] The embodiment of the present disclosure further provides a computer program product, including a computer program, wherein when the computer program is executed by a processor, the method for acquiring the status of power plant equipment described in any one of the above items is implemented.

[0172] Among them, the program code for executing the computer program product of the present disclosure can be written in any combination of one or more programming languages, and the program code can be executed completely on the user device, partially on the user device, as an independent software package, partially on the user device and partially on a remote device, or completely on the remote device.

[0173] Although the specific embodiments of the present disclosure are described above, those skilled in the art should understand that this is only an example, and the protection scope of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, but these changes and modifications all fall within the protection scope of the present disclosure.

Claims

1. A method for obtaining the status of power plant equipment, characterized in that: The state acquisition method comprises: Acquiring actual operation data and actual measurement data of the power plant equipment; Using the actual operation data and the actual measurement data as inputs of an equipment state model to obtain actual state values ​​corresponding to the power plant equipment; The equipment status model is trained based on historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical status values, and the historical status values ​​are processed based on the historical operation data.

2. The method for acquiring the status of power plant equipment according to claim 1, characterized in that: The actual measurement data includes infrared thermal imaging data and / or vibration data of the power plant equipment; and / or, The power plant equipment includes at least one of power plant heat exchange equipment, pipelines, transformers, frequency converters, rectifiers and traction motors; and / or, The actual status value includes a health score.

3. The method for acquiring the status of power plant equipment according to claim 1 or 2, characterized in that: After the step of using the actual operation data and the actual measurement data as inputs of the equipment state model to obtain the actual state value corresponding to the power plant equipment, the method further includes: In response to the actual state value not belonging to a preset state range, a warning message is output.

4. The method for acquiring the status of power plant equipment according to claim 1 or 2, characterized in that: The historical measurement data is acquired based on a preset time interval.

5. The method for acquiring the status of power plant equipment according to claim 1 or 2, characterized in that: The state acquisition method further includes: Retraining the device state model to obtain a new device state model; The actual operation data and the actual measurement data are used as inputs of a new device state model to obtain a new actual state value.

6. The method for acquiring the status of power plant equipment according to claim 5, characterized in that: The step of retraining the device state model to obtain a new device state model comprises: Retraining the device state model based on a preset time length to obtain a new device state model; or, In response to the actual operation data being within a first preset range, retraining the device state model to obtain a new device state model; or, In response to the actual state value being within a second preset range, the device state model is retrained to obtain a new device state model.

7. A system for acquiring the status of power plant equipment, characterized in that: The state acquisition system comprises: A data acquisition module, used to acquire actual operation data and actual measurement data of the power plant equipment; A state value acquisition module, used to use the actual operation data and the actual measurement data as inputs of an equipment state model to obtain actual state values ​​corresponding to the power plant equipment; The equipment status model is trained based on historical operation data of the power plant equipment, historical measurement data of the power plant equipment and historical status values, and the historical status values ​​are processed based on the historical operation data.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and used to run on the processor, characterized in that: When the processor executes the computer program, the method for acquiring the status of the power plant equipment according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for acquiring the status of power plant equipment according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for acquiring the status of a power plant device according to any one of claims 1 to 6 is implemented.

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