Power equipment monitoring analysis system, method, equipment and storage medium

Abstract

The invention relates to the field of equipment monitoring, and discloses a power equipment monitoring analysis system, method and equipment and a storage medium. The power equipment monitoring and analyzing system provided by the embodiment of the invention comprises a data acquisition assembly used for acquiring real-time parameter information of various power equipment, and the data acquisition assembly comprises various data interfaces matched with each power equipment; the data integration component is in communication connection with the data acquisition component, and the data integration component is used for constructing a unified data model based on the real-time parameter information of the multiple power devices, generating a unified data view corresponding to the real-time parameter information of the multiple power devices based on the unified data model, and transmitting the unified data view to the data acquisition component; the unified data view is correspondingly adjusted according to the change of the real-time parameter information; and the control module is used for controlling the data integration assembly and the data acquisition assembly. The power equipment monitoring and analyzing system provided by the embodiment of the invention can uniformly analyze and process the parameters of different types of power equipment and display the parameters in real time.

Description

Technical Field

[0001] The present invention relates to the field of equipment monitoring, and in particular to a power equipment monitoring and analysis system, method, equipment and storage medium. Background Art

[0002] With the rapid development of the power industry, various types of power equipment (such as coal-fired, gas-fired, nuclear power, wind power, photovoltaic, etc.) are increasing, so power monitoring of different types of power equipment is becoming more and more important.

[0003] However, the existing power monitoring systems for different types of power equipment have the following problems:

[0004] The data island phenomenon is serious: In the existing power monitoring system, data of different types of power equipment are often stored and processed separately, forming multiple data islands, making it difficult to achieve unified management and analysis of all power equipment data.

[0005] Inconsistent data formats: Different types of power equipment have different data formats, which requires a lot of data cleaning and conversion work when integrating data from different types of power equipment.

[0006] Lack of real-time performance: The existing power monitoring system is difficult to achieve real-time update and synchronization of data, resulting in the data information displayed in the monitoring network lagging behind the actual operating status of the power equipment. Summary of the invention

[0007] The embodiments of the present invention provide a power equipment monitoring and analysis system, method, device and storage medium to solve the above problems.

[0008] In a first aspect, an embodiment of the present invention provides an electric power equipment monitoring and analysis system, comprising: a data acquisition component, for acquiring real-time parameter information of a variety of electric power equipment, the data acquisition component comprising a variety of data interfaces matching each electric power equipment; a data integration component, communicatively connected to the data acquisition component, the data integration component being used to construct a unified data model based on the real-time parameter information of a variety of electric power equipment, and to generate a unified data view corresponding to the real-time parameter information of a variety of electric power equipment based on the unified data model, and to adjust the unified data view accordingly according to changes in the real-time parameter information; a control module, the control module being electrically connected to the data acquisition component and the data integration component, the control module being used to control the on and off of at least a part of the data interface of the data acquisition component and the data integration component, and to control the data integration component to construct a unified data model and generate a unified data view.

[0009] The electric power equipment monitoring and analysis system provided by the embodiment of the present invention can uniformly collect and acquire the real-time parameter information of various electric power equipment through the data acquisition component, and build a unified data model through the data integration component to generate a unified data view, and uniformly convert different types of data formats of various electric power equipment into the same format to display the real-time parameter information of various electric power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the electric power equipment.

[0010] Optionally, the data integration component includes: a protocol parsing module, which is communicatively connected to each data interface, and is used to parse the communication protocol of the real-time parameter information transmitted by each data interface to extract the real-time parameter information; a data conversion module, which is electrically connected to the protocol parsing module, and is used to receive all real-time parameter information extracted by the protocol parsing module, and based on a unified data model, converts real-time parameter information of different formats corresponding to different power equipment into a unified data view of a unified format.

[0011] Optionally, the power equipment monitoring and analysis system further includes: a cache module, the cache module is electrically connected to the data integration component, and the cache module is used to store real-time parameter information and the real-time parameter information called and stored by the control module.

[0012] Optionally, the data integration component also includes: building a matching module, which is electrically connected to the data conversion module and the cache module, and the matching module is used to build a unified data model based on the real-time parameter information of multiple power equipment, and call the unified data model to match the real-time parameter information of each power equipment one by one, obtain the corresponding storage location of the real-time parameter information of each power equipment in the cache module, and store the real-time parameter information in the corresponding storage location.

[0013] Optionally, the data integration component also includes: a predictive simulation module, which is electrically connected to the data conversion module and the cache module, and the predictive simulation module is used to obtain real-time parameter information of various power equipment and pre-process the real-time parameter information, build a predictive simulation model, and generate corresponding power equipment operating efficiency results and fault prediction results based on the predictive simulation model.

[0014] Optionally, the prediction simulation module includes: a preprocessing unit, which is electrically connected to the data conversion module and the cache module, the preprocessing unit is used to screen and correct the real-time parameter information, remove the noise parameters, repeated parameters and error parameters in the real-time parameter information, obtain the corrected parameter information, and normalize the corrected parameter information so that the parameters of different dimensions in the corrected parameter information are unified into the same numerical range to form normalized parameter information; a model construction unit, which is electrically connected to the preprocessing unit, the model construction unit stores a preset regression model and a preset classification model, the model construction unit is used to input the normalized parameter information into the regression model or the classification model, train the regression model or the classification model to form a trained regression model or a trained classification model, and optimize the trained regression model or the trained classification model to form a prediction simulation model; a calculation unit, which is electrically connected to the preprocessing unit and the model construction unit, the calculation unit is used to input the normalized parameter information into the prediction simulation model to generate the corresponding operating efficiency results and fault prediction results of the power equipment.

[0015] Optionally, the power equipment monitoring and analysis system further includes: a monitoring display component electrically connected to the control module, and the control module is used to control the monitoring display component to display a unified data view, operating efficiency results, and fault prediction results.

[0016] Optionally, the various power equipment include thermal power equipment, hydropower equipment, wind power equipment, and photovoltaic equipment, and the real-time parameter information includes steam temperature and pressure values ​​of thermal power equipment, water level and flow of hydropower equipment, wind speed and direction of wind power equipment, and light intensity and battery temperature of photovoltaic equipment.

[0017] In a second aspect, an embodiment of the present invention provides a method for monitoring and analyzing electric power equipment, including: obtaining real-time parameter information of a variety of electric power equipment; constructing a unified data model based on the real-time parameter information of a variety of electric power equipment; based on the unified data model, generating a unified data view corresponding to the real-time parameter information, and adjusting the unified data view accordingly according to changes in the real-time parameter information.

[0018] The electric power equipment monitoring and analysis method provided in the embodiment of the present invention can uniformly collect and acquire the real-time parameter information of multiple electric power equipment, and by constructing a unified data model and generating a unified data view, the different types of data formats of multiple electric power equipment can be uniformly converted into the same format to display the real-time parameter information of multiple electric power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the electric power equipment.

[0019] Optionally, the unified data model is constructed based on the following steps: obtaining the number of types of all power equipment and the number of subsystem layers of each power equipment; constructing an entity-relationship model framework based on the number of types and the number of subsystem layers of each power equipment; converting the real-time parameter information of multiple power equipment into standardized format parameters; and constructing a unified data model based on the standardized format parameters and the entity-relationship model framework.

[0020] Optionally, the step of acquiring real-time parameter information of a plurality of power devices includes: acquiring and parsing a communication protocol of the real-time parameter information corresponding to each power device to extract the real-time parameter information of each power device.

[0021] Optionally, based on a unified data model, a unified data view corresponding to the real-time parameter information is generated, and the steps of adjusting the unified data view according to changes in the real-time parameter information include: based on the unified data model, converting real-time parameter information of different formats corresponding to different power equipment into a unified data view of a unified format; obtaining the changed real-time parameter information; based on the unified data model, updating the unified data view to a changed unified data view corresponding to the changed real-time parameter information.

[0022] Optionally, the various power equipment include thermal power equipment, hydropower equipment, wind power equipment, and photovoltaic equipment, and the real-time parameter information includes steam temperature and pressure values ​​of thermal power equipment, water level and flow of hydropower equipment, wind speed and wind direction of wind power equipment, light intensity and battery temperature of photovoltaic equipment, as well as operating status parameters, performance parameters, operating environment parameters and time parameters of each power equipment.

[0023] In a third aspect, an embodiment of the present invention provides an electric power equipment monitoring and analysis device, comprising: a processor and a memory, wherein instructions are stored in the memory; the processor is capable of calling the instructions in the memory so that the processor executes the electric power equipment monitoring and analysis method of any of the aforementioned embodiments of the second aspect of the present invention.

[0024] The processor of the power equipment monitoring and analysis device provided in the embodiment of the present invention executes the power equipment monitoring and analysis method of any of the aforementioned embodiments of the first aspect of the present invention by calling the instructions in the memory, and can uniformly collect and acquire the real-time parameter information of multiple power equipment, and generate a unified data view by building a unified data model, and uniformly convert different types of data formats of multiple power equipment into the same format to display the real-time parameter information of multiple power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the power equipment.

[0025] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which instructions are stored, and when the instructions are executed by a processor, the power equipment monitoring and analysis method of any of the aforementioned embodiments of the first aspect of the present invention is implemented.

[0026] The instructions stored in the computer-readable storage medium provided in the embodiment of the present invention can be called by the processor to execute the power equipment monitoring and analysis method of any of the aforementioned embodiments of the first aspect of the present invention, so as to realize the unified collection and acquisition of real-time parameter information of multiple power equipment, and generate a unified data view by building a unified data model, so as to uniformly convert different types of data formats of multiple power equipment into the same format to display the real-time parameter information of multiple power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0028] Figure 1 It is a structural block diagram of the first embodiment of the power equipment monitoring and analysis system of the present invention;

[0029] Figure 2 It is a structural block diagram of a data acquisition component of the first embodiment of the power equipment monitoring and analysis system of the present invention;

[0030] Figure 3 It is a structural block diagram of a second embodiment of the power equipment monitoring and analysis system of the present invention;

[0031] Figure 4 It is a structural block diagram of a prediction simulation module of a second embodiment of the power equipment monitoring and analysis system of the present invention;

[0032] Figure 5 A flowchart of an embodiment of the power equipment monitoring and analysis method of the present invention;

[0033] Figure 6 A flowchart of step S120 of an embodiment of the method for monitoring and analyzing electric power equipment of the present invention;

[0034] Figure 7 A flowchart of step S130 of an embodiment of the method for monitoring and analyzing electric power equipment of the present invention;

[0035] Figure 8The present invention is a structural block diagram of an embodiment of the power equipment monitoring and analysis device of the present invention.

[0036] Description of Figure Numbers:

[0037] 100-Power equipment monitoring and analysis system;

[0038] 110-data acquisition component; 111-data interface;

[0039] 120-data integration component; 121-protocol analysis module; 122-data conversion module; 123-construction matching module; 124-prediction simulation module; 1241-preprocessing unit; 1242-model construction unit; 1243-computation unit;

[0040] 130-control module;

[0041] 140-cache module;

[0042] 150-monitoring display component;

[0043] 201 - processor; 202 - memory; 203 - communication interface; 204 - bus. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] It should be noted that all directional indications such as up, down, left, right, front, back, etc. in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture as shown in the accompanying drawings. If the specific posture changes, the directional indication will also change accordingly.

[0046] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0047] Figure 1It is a structural block diagram of the first embodiment of the power equipment monitoring and analysis system of the present invention; Figure 2 The structure block diagram of the data acquisition component of the first embodiment of the power equipment monitoring and analysis system of the present invention is shown in FIG. In the embodiment of the present invention, the power equipment monitoring and analysis system 100 includes: a data acquisition component 110 , a data integration component 120 and a control module 130 .

[0048] The data acquisition component 110 is used to obtain real-time parameter information of various power devices, wherein the data acquisition component 110 includes a plurality of data interfaces 111 matching each power device.

[0049] The data integration component 120 is communicatively connected to the data acquisition component 110, and the data integration component 120 is used to build a unified data model based on the real-time parameter information of various power equipment; and based on the unified data model, generate a unified data view corresponding to the real-time parameter information of various power equipment, and adjust the unified data view according to changes in the real-time parameter information.

[0050] The control module 130 is electrically connected to the data acquisition component 110 and the data integration component 120. The control module 130 is used to control the connection and disconnection between at least a part of the data interface 111 of the data acquisition component 110 and the data integration component 120, and to control the data integration component 120 to build a unified data model and generate a unified data view.

[0051] In an embodiment of the present invention, the various data interfaces 111 of the data acquisition component 110 are electrically connected to the corresponding types of power equipment respectively to obtain the real-time parameter information of the corresponding power equipment, and realize the unified collection of real-time parameters of different types of power equipment. The data integration component 120 can build a unified data model based on the real-time parameter information of the power equipment to generate a unified data view corresponding to the real-time parameter information of various power equipment, and the data integration component 120 can also adjust the unified data view in real time based on the real-time parameter information of various power equipment obtained by the various data interfaces 111 of the data acquisition component 110, realize real-time monitoring and real-time updating of the operating status of the power equipment, and ensure that when the operating status of the power equipment changes, it can be displayed in time to remind the maintenance personnel.

[0052] Specifically, various power equipment includes thermal power equipment, hydropower equipment, wind power equipment, and photovoltaic equipment. The real-time parameter information includes steam temperature and pressure values ​​of thermal power equipment, water level and flow of hydropower equipment, wind speed and direction of wind power equipment, and light intensity and battery temperature of photovoltaic equipment.

[0053] The various data interfaces 111 of the data acquisition component 110 include, but are not limited to, an Ethernet interface, a serial port for receiving sensor data (e.g., RS-232, RS-485 serial port), a wireless interface (e.g., ZigBee, Bluetooth, 4G or 5G interface), or other forms of interfaces capable of transmitting data, which are not limited in this application. The various data interfaces 111 of the data acquisition component 110 may also include an API interface, so that third-party applications can access the power equipment monitoring and analysis system 100 of this embodiment to achieve data sharing.

[0054] Real-time parameter information includes steam temperature and pressure values ​​of thermal power equipment, water level and flow of hydropower equipment, wind speed and direction of wind power equipment, light intensity and battery temperature of photovoltaic equipment, as well as operating status parameters, performance parameters, operating environment parameters and time parameters of each power equipment.

[0055] The operating status parameters include the vibration intensity, insulation resistance value, and oil temperature of the power equipment; the performance parameters include power generation efficiency, power factor, and equipment availability; the operating environment parameters include ambient temperature, ambient humidity, and altitude; and the time parameters include acquisition time, equipment operation time, and maintenance time. Alternatively, the operating status parameters also include the rate of change of equipment operating parameters and the ratio of equipment operation time to downtime.

[0056] The control module 130 can control one, two or more data interfaces 111 of the data acquisition component 110 to be turned on or off, or adjust the interface parameters of any data interface 111, so that the data interface 111 can receive the real-time parameter information of the corresponding power equipment, and control the data integration component 120 to parse the received real-time parameter information, so that the data integration component 120 can build a unified data model and then generate a unified data view.

[0057] In this embodiment, the power equipment monitoring and analysis system 100 can adopt distributed stream processing technology, such as Apache Kafka distributed stream processing technology or Flink distributed stream processing technology, to achieve real-time data collection and processing.

[0058] The power equipment monitoring and analysis system 100 provided in the embodiment of the present invention can uniformly collect and acquire the real-time parameter information of various power equipment through the data acquisition component 110 to achieve comprehensive data coverage, and build a unified data model through the data integration component 120 to generate a unified data view, and uniformly convert different types of data formats of various power equipment into the same format to display the real-time parameter information of various power equipment, and realize real-time processing, real-time updating and unified management and analysis of the real-time parameter information of the power equipment. Thereby, the power equipment monitoring and analysis system 100 provided in the embodiment of the present invention can solve the compatibility problem between the data of different types of power equipment, avoid the phenomenon of data islands, and improve the working efficiency and safety of power equipment.

[0059] At the same time, the electric power equipment monitoring and analysis system 100 provided in the embodiment of the present invention adopts a distributed architecture, is easy to expand, and can be flexibly configured according to different types and numbers of electric power equipment to receive different types and quantities of data.

[0060] Figure 3 It is a structural block diagram of a second embodiment of the power equipment monitoring and analysis system 100 of the present invention; Figure 4 This is a structural block diagram of the prediction simulation module 124 of the second embodiment of the power equipment monitoring and analysis system 100 of the present invention. Part of the structure of the second embodiment is the same as that of the first embodiment, and the differences between the two will be described below, and the similarities will not be described in detail.

[0061] like Figure 3 As shown, in the second embodiment of the present invention, the data integration component 120 includes a protocol parsing module 121 and a data conversion module 122 . The protocol parsing module 121 is communicatively connected to each data interface 111 , and the data conversion module 122 is electrically connected to the protocol parsing module 121 .

[0062] The protocol parsing module 121 is used to parse the communication protocol of the real-time parameter information transmitted by each data interface 111 to extract the real-time parameter information.

[0063] The data conversion module 122 is used to receive all the real-time parameter information extracted by the protocol analysis module 121, and based on the unified data model, convert the real-time parameter information of different formats corresponding to different power equipment into a unified data view of a unified format.

[0064] In this embodiment, the protocol parsing module 121 can parse the received real-time parameter information of different types of power equipment to obtain the data value, data type, function code, object address and timestamp of the real-time parameter information. For example, the protocol parsing module 121 can parse the real-time parameter information using the DNP3 protocol or other protocols to obtain the function code, object address, data value and other parameters of the real-time parameter information.

[0065] The data conversion module 122 can convert the received parsed real-time parameter information into a unified data format, and then convert the real-time parameter information in the unified data format into a unified data view, so as to clearly display the operating status of each power device. For example, the data conversion module 122 can convert the data representing the power in the real-time parameter information into a floating point format with watts as the unit, and convert the time data into a specific time format to unify the data format. For example, the data conversion module 122 can store data conversion software, such as ETL (Extract, Transform, Load) conversion software, Apache Nifi conversion software, or Talend conversion software to achieve data conversion.

[0066] In some embodiments, the power equipment monitoring and analysis system 100 further includes a cache module 140, which is electrically connected to the data integration component 120. The cache module 140 is used to store real-time parameter information and the real-time parameter information stored and called by the control module 130.

[0067] In this embodiment, since the data flow of the real-time parameter information of the power equipment received by the data acquisition component 110 fluctuates in different time periods, or when the data volume is too large, the control module 130 or the data integration component 120 is in a busy state and a processing bottleneck occurs, the cache module 140 can be used to store the real-time parameter information that cannot be processed in time to avoid data loss.

[0068] The control module 130 can adaptively adjust the cache capacity and cache strategy of the cache module 140 for caching data according to the amount of data to be processed.

[0069] In some embodiments, the data integration component 120 further includes a matching module 123 , and the matching module 123 is electrically connected to the data conversion module 122 and the cache module 140 .

[0070] The matching module 123 is used to construct a unified data model based on the real-time parameter information of multiple power equipment, and call the unified data model to match the real-time parameter information of each power equipment one by one, obtain the corresponding storage position of the real-time parameter information of each power equipment in the cache module 140, and store the real-time parameter information in the corresponding storage position.

[0071] In this embodiment, the construction and matching module 123 is used to receive the real-time parameter information in a unified data format, and to construct a unified data model according to the real-time parameter information, and then call the unified data model to match the real-time parameter information of each power device one by one, store the data of the real-time parameter information that cannot be processed temporarily to the corresponding storage position in the cache module 140, and call the real-time parameter information stored in the cache module 140. For example, the construction and matching module 123 can call the unified data model to match the real-time parameter information of each power device one by one, and obtain the data type of the real-time parameter information to be saved. If the data in the real-time parameter information is wind speed data, it is matched to the field position related to the wind speed in the wind power data storage area to achieve unified management and storage.

[0072] In some embodiments, the data integration component 120 further includes a prediction simulation module 124 , which is electrically connected to the data conversion module 122 and the cache module 140 .

[0073] The prediction simulation module 124 is used to obtain real-time parameter information of various power equipment and pre-process the real-time parameter information, build a prediction simulation model, and generate corresponding power equipment operation efficiency results and fault prediction results based on the prediction simulation model.

[0074] In this embodiment, the prediction simulation module 124 uses the ER model, that is, the entity-relationship model, to link different parameters to each other to form the basic framework of the prediction simulation model, and then constructs the prediction simulation model. Through the prediction simulation model, the corresponding operating efficiency results and fault prediction results of the power equipment are generated, thereby realizing the detection of the operating efficiency of the power equipment, whether a fault occurs, and the prediction of the fault location.

[0075] Specifically, the prediction simulation model calculates the failure probability of the power equipment and generates a failure prediction result through correlation analysis, chi-square test, or information gain feature selection method, such as calculating the Pearson correlation coefficient between the operating efficiency of the power equipment and the failure probability, and then generates a failure prediction result based on the obtained Pearson correlation coefficient.

[0076] like Figure 4 As shown, further, the prediction simulation module 124 includes a preprocessing unit 1241 , a model building unit 1242 and a calculation unit 1243 .

[0077] The preprocessing unit 1241 is electrically connected to the data conversion module 122 and the cache module 140. The preprocessing unit 1241 is used to screen and correct the real-time parameter information, remove noise parameters, repeated parameters and error parameters in the real-time parameter information, obtain corrected parameter information, and normalize the corrected parameter information so that parameters of different dimensions in the corrected parameter information are unified into the same numerical range to form normalized parameter information.

[0078] The model building unit 1242 is electrically connected to the preprocessing unit 1241. The model building unit 1242 stores a preset regression model and a preset classification model. The model building unit 1242 is used to input normalized parameter information into the regression model or the classification model, train the regression model or the classification model to form a trained regression model or a trained classification model, and optimize the trained regression model or the trained classification model to form a prediction simulation model.

[0079] The calculation unit 1243 is electrically connected to the preprocessing unit 1241 and the model building unit 1242. The calculation unit 1243 is used to input the normalized parameter information into the prediction simulation model to generate the corresponding operation efficiency results and fault prediction results of the power equipment.

[0080] Specifically, the steps of the prediction simulation module 124 generating the operation efficiency results and fault prediction results of the corresponding power equipment are as follows:

[0081] Obtain historical fault information of power equipment;

[0082] Inputting the normalized parameter information into the prediction simulation model, extracting the characteristic parameters of each power device from the normalized parameter information, and calculating the operation efficiency of the corresponding power device and generating an operation efficiency prediction value, and calculating the failure probability of the corresponding power device and generating a failure probability prediction value;

[0083] Based on the characteristic parameters and the predicted operating efficiency values, generating operating efficiency results of corresponding power equipment; and

[0084] Based on the fault probability prediction value and historical fault information, a fault prediction result of the corresponding power equipment is generated.

[0085] In this embodiment, the historical fault information of the power equipment includes the fault type and fault location that have occurred during the operation of the power equipment. By normalizing the corrected parameter information, the parameters of different dimensions in the corrected parameter information are unified into the same numerical range, so as to facilitate the construction of a prediction simulation model, thereby realizing the prediction of the operation efficiency of the power equipment and the failure probability of the power equipment.

[0086] Specifically, this embodiment implements normalization processing of the corrected parameter information through the following formula:

[0087]

[0088] Among them, x is the original data, that is, the real-time parameter information, min and max are respectively the minimum value and the maximum value of a certain data type in the data set of the real-time parameter information, and norm is the normalized data value.

[0089] When training a regression model, the mean square error function is used for calculation, for example:

[0090] Wherein, MSE is the mean square error result, n is the number of samples, and yi is the data value of a data type corresponding to the real-time parameter information. Alternatively, the regression model can be trained by other functions such as the mean absolute error function and the root mean square error to calculate the accuracy, recall rate or F1 value of a data type in the corresponding real-time parameter information to optimize the training of the regression model. Alternatively, a prediction simulation model can be constructed by a deep learning model, such as a convolutional neural network or a recurrent neural network.

[0091] When constructing a predictive simulation model, the data in the normalized parameter information is divided into a training set, a validation set, and a test set. For example, 70% of the data in the normalized parameter information is used as a training set, 20% as a validation set, and 10% as a test set for training, construction, and optimization of the predictive simulation model.

[0092] In some embodiments, the power equipment monitoring and analysis system 100 further includes a monitoring display component 150, which is electrically connected to the control module 130. The control module 130 is used to control the monitoring display component 150 to display a unified data view, operating efficiency results, and fault prediction results.

[0093] In this embodiment, the monitoring display component 150 is used to display the generated unified data view, as well as the calculated operating efficiency results and fault prediction results, so that maintenance personnel can obtain the operating status of each power equipment and determine whether the power equipment has a fault.

[0094] Furthermore, the control module 130 can also control the monitoring display component 150 to issue a warning based on the operation efficiency results and the fault prediction results, so as to remind the maintenance personnel to deal with the fault in time and reduce the fault loss.

[0095] The present invention further proposes a method for monitoring and analyzing electric power equipment, which is applied to the electric power equipment monitoring and analyzing system 100 of any of the above embodiments of the present application.

[0096] For ease of understanding, the power equipment monitoring and analysis method according to an embodiment of the present invention is described below. Figure 5 As shown, the power equipment monitoring and analysis method in the embodiment of the present invention includes steps S110 to S130.

[0097] In step S110, real-time parameter information of various power equipment is obtained.

[0098] In this embodiment, the communication protocol of the real-time parameter information corresponding to each electric power device is acquired and parsed to extract the real-time parameter information of each electric power device.

[0099] Specifically, the various power equipment includes thermal power equipment, hydropower equipment, wind power equipment, and photovoltaic equipment, and may also include other types of power equipment, such as nuclear power equipment, etc., which are not specifically limited in this application.

[0100] Real-time parameter information includes steam temperature and pressure values ​​of thermal power equipment, water level and flow of hydropower equipment, wind speed and direction of wind power equipment, light intensity and battery temperature of photovoltaic equipment, as well as operating status parameters, performance parameters, operating environment parameters and time parameters of each power equipment.

[0101] The operating status parameters include the vibration intensity, insulation resistance value, and oil temperature of the power equipment; the performance parameters include power generation efficiency, power factor, and equipment availability; the operating environment parameters include ambient temperature, ambient humidity, and altitude; and the time parameters include collection time, equipment operation time, and maintenance time.

[0102] Alternatively, the operating status parameters also include a rate of change of equipment operating parameters and a ratio of equipment operating time to downtime.

[0103] In step S120, a unified data model is constructed based on the real-time parameter information of various power equipment.

[0104] like Figure 6 As shown, in some optional embodiments, the unified data model is constructed based on steps S121 to S124:

[0105] In step S121, the number of types of all power equipment and the number of subsystem layers of each type of power equipment are obtained.

[0106] In step S122, an entity relationship model framework is constructed based on the number of types and the number of subsystem layers of each type of power equipment.

[0107] In step S123, the real-time parameter information of various power devices is converted into standardized format parameters.

[0108] In step S124, a unified data model is constructed based on the standardized format parameters and the entity relationship model framework.

[0109] In this embodiment, the power equipment is divided into different categories such as thermal power, hydropower, wind power, photovoltaic, etc. according to the type of power equipment. Then, under each power equipment category, it is further layered according to the system structure and function of each category of power equipment. For example, thermal power equipment can be divided into subsystems such as boilers, steam turbines, and generators. Based on the number of types and the number of subsystem layers of each power equipment, an entity relationship model framework of a unified data model is formed, and then standardized format parameters are used as input parameters to construct a unified data model.

[0110] Specifically, when the real-time parameter information of various electric power equipment is converted into standardized format parameters, attribute sets of different types of electric power equipment are obtained.

[0111] For example, the attribute set A of thermal power equipment 火电 Including a1-unit load, a2-steam pressure, a3-steam temperature and a4-sulfur dioxide emissions; attribute set B of hydropower equipment 水电 Including b1-turbine speed, b2-water level difference and b3-generated power; attribute set C of wind power equipment 风电 Including c1-wind speed, c2-wind turbine blade angle and c3-output power; attribute set D of photovoltaic equipment 光伏 Including d1-light intensity, d2-solar panel temperature and d3-conversion efficiency.

[0112] Among them, the power generation power P of thermal power equipment 火电 The functional relationship between the unit load a1, steam pressure P, i.e. steam pressure a2, and steam temperature a3, i.e. steam temperature T of thermal power equipment is: P 火电 =f(a1,p,T), where f is a function expression obtained based on the actual operating data of thermal power equipment and mathematical fitting. Similarly, for the power generation b3 of the hydropower equipment, that is, the power generation P of the hydropower equipment 水电 The functional relationship between the turbine speed b1 and the water level difference b2 of the hydropower equipment is: 水电 =g(b1,b2), g is a function expression obtained based on the actual operation data of the hydropower equipment and mathematical fitting. The calculation method of the power generation of wind power equipment and photovoltaic equipment is the same as that of thermal power equipment and hydropower equipment, and this application will not repeat it.

[0113] Therefore, in step S124, based on the standardized format parameters and the entity relationship model framework, the formula for constructing the unified data model M can be expressed as: M = {A 火电 , B 水电 , C 风电 , D 光伏}.

[0114] Furthermore, the unified data model can be constructed through deep learning models, such as convolutional neural networks and recurrent neural networks.

[0115] In step S130, a unified data view corresponding to the real-time parameter information is generated based on the unified data model, and the unified data view is adjusted accordingly according to changes in the real-time parameter information.

[0116] like Figure 7 As shown, in some optional embodiments, step S130 includes steps S131 to S134.

[0117] In step S131 , based on a unified data model, real-time parameter information in different formats corresponding to different power devices is converted into a unified data view in a unified format.

[0118] In step S132, the changed real-time parameter information is obtained.

[0119] In step S133 , based on the unified data model, the unified data view is updated to a changed unified data view corresponding to the changed real-time parameter information.

[0120] In this embodiment, the unified data model can convert real-time parameter information in different formats corresponding to different power equipment into a unified data view in a unified format.

[0121] The unified data view can clearly display the operating status of each power device. For example, the data representing power in the real-time parameter information can be uniformly displayed in a floating point format with watts as the unit, and the time data can be uniformly displayed in a specific time format, so as to achieve unified management of different types of data formats.

[0122] The electric power equipment monitoring and analysis method provided in an embodiment of the present invention includes: obtaining real-time parameter information of multiple electric power equipment; constructing a unified data model based on the real-time parameter information of multiple electric power equipment; generating a unified data view corresponding to the real-time parameter information based on the unified data model, and adjusting the unified data view according to changes in the real-time parameter information.

[0123] The electric power equipment monitoring and analysis method provided in the embodiment of the present invention can uniformly collect and acquire the real-time parameter information of multiple electric power equipment, and by constructing a unified data model and generating a unified data view, the different types of data formats of multiple electric power equipment can be uniformly converted into the same format to display the real-time parameter information of multiple electric power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the electric power equipment.

[0124] For the above method embodiment, the embodiment of the present invention also provides Figure 8The power equipment monitoring and analysis device shown includes: a processor 201 and a memory 202, wherein instructions are stored in the memory 202. The processor 201 can call the instructions in the memory 202 so that the processor 201 executes the power equipment monitoring and analysis method of any of the above embodiments of the present invention.

[0125] The electric power equipment monitoring and analysis method provided in an embodiment of the present invention includes: obtaining real-time parameter information of multiple electric power equipment; constructing a unified data model based on the real-time parameter information of multiple electric power equipment; generating a unified data view corresponding to the real-time parameter information based on the unified data model, and adjusting the unified data view according to changes in the real-time parameter information.

[0126] The electric power equipment monitoring and analysis equipment provided by the embodiment of the present invention can uniformly collect and acquire the real-time parameter information of various electric power equipment by implementing the above method, and by constructing a unified data model and generating a unified data view, it can uniformly convert different types of data formats of various electric power equipment into the same format to display the real-time parameter information of various electric power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the electric power equipment.

[0127] Furthermore, the electric power equipment monitoring and analysis device provided in the embodiment of the present invention may further include a communication interface 203 and a bus 204 , and the processor 201 , the memory 202 and the communication interface 203 are electrically connected via the bus 204 .

[0128] The memory 202 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 203 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 204 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0129] The processor 201 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 201. The above processor 201 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 202, and the processor 201 reads the information in the memory 202 and completes the steps of the method of the above embodiment in combination with its hardware.

[0130] An embodiment of the present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the above-mentioned power equipment monitoring and analysis method.

[0131] The computer-readable storage medium provided by an embodiment of the present invention stores data and computer executable instructions of the above-mentioned power equipment monitoring and analysis method, and the above-mentioned power equipment monitoring and analysis method includes: obtaining real-time parameter information of multiple power equipment; constructing a unified data model based on the real-time parameter information of multiple power equipment; based on the unified data model, generating a unified data view corresponding to the real-time parameter information, and adjusting the unified data view accordingly according to changes in the real-time parameter information.

[0132] The computer-readable storage medium provided by the embodiment of the present invention can uniformly collect and acquire the real-time parameter information of various power equipment by implementing the above method, and by building a unified data model and generating a unified data view, it can uniformly convert different types of data formats of various power equipment into the same format to display the real-time parameter information of various power equipment, thereby realizing real-time update synchronization and unified management and analysis of the real-time parameter information of the power equipment.

[0133] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0134] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0135] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A power equipment monitoring and analysis system, characterized in that: The system comprises: A data acquisition component, used to obtain real-time parameter information of various electric power equipment, the data acquisition component comprising a plurality of data interfaces matching each of the electric power equipment; A data integration component is communicatively connected with the data acquisition component, and the data integration component is used to construct a unified data model based on the real-time parameter information of the multiple power devices, and to generate a unified data view corresponding to the real-time parameter information of the multiple power devices based on the unified data model, and to adjust the unified data view accordingly according to changes in the real-time parameter information; A control module, wherein the control module is electrically connected to the data acquisition component and the data integration component, and is used to control the connection and disconnection of at least a part of the data interface of the data acquisition component and the data integration component, and to control the data integration component to construct the unified data model and generate the unified data view.

2. The power equipment monitoring and analysis system according to claim 1, characterized in that: The data integration components include: A protocol parsing module, the protocol parsing module is communicatively connected with each of the data interfaces, and the protocol parsing module is used to parse the communication protocol of the real-time parameter information transmitted by each of the data interfaces to extract the real-time parameter information; A data conversion module is electrically connected to the protocol parsing module, and is used to receive all the real-time parameter information extracted by the protocol parsing module, and based on the unified data model, convert the real-time parameter information in different formats corresponding to different power equipment into the unified data view in a unified format.

3. The power equipment monitoring and analysis system according to claim 2, characterized in that: The power equipment monitoring and analysis system also includes: A cache module, the cache module is electrically connected to the data integration component, and the cache module is used to store the real-time parameter information and the real-time parameter information called and stored by the control module.

4. The power equipment monitoring and analysis system according to claim 3, characterized in that: The data integration component also includes: A matching module is constructed and electrically connected to the data conversion module and the cache module. The matching module is used to construct the unified data model based on the real-time parameter information of the multiple power devices, and call the unified data model to match the real-time parameter information of each power device one by one, obtain the corresponding storage position of the real-time parameter information of each power device in the cache module, and store the real-time parameter information in the corresponding storage position.

5. The power equipment monitoring and analysis system according to claim 3, characterized in that: The data integration component also includes: A prediction simulation module is electrically connected to the data conversion module and the cache module. The prediction simulation module is used to obtain real-time parameter information of various power equipment and pre-process the real-time parameter information, build a prediction simulation model, and generate corresponding operating efficiency results and fault prediction results of the power equipment based on the prediction simulation model.

6. The power equipment monitoring and analysis system according to claim 5, characterized in that: The prediction simulation module includes: a preprocessing unit, electrically connected to the protocol parsing module and the cache module, the preprocessing unit being used to screen and correct the real-time parameter information, remove noise parameters, repeated parameters and error parameters in the real-time parameter information, obtain corrected parameter information, and normalize the corrected parameter information so that parameters of different dimensions in the corrected parameter information are uniformly normalized to the same numerical range to form normalized parameter information; A model building unit, electrically connected to the preprocessing unit, wherein a preset regression model and a preset classification model are stored in the model building unit, and the model building unit is used to input the normalization parameter information into the regression model or the classification model, train the regression model or the classification model to form a trained regression model or a trained classification model, and optimize the trained regression model or the trained classification model to form the prediction simulation model; A calculation unit is electrically connected to the preprocessing unit and the model building unit, and is used to input the normalized parameter information into the prediction simulation model to generate corresponding operating efficiency results and fault prediction results of the power equipment.

7. The power equipment monitoring and analysis system according to claim 5, characterized in that: The system further comprises: A monitoring and display component is electrically connected to the control module, and the control module is used to control the monitoring and display component to display the unified data view, the operating efficiency result, and the fault prediction result.

8. The power equipment monitoring and analysis system according to claim 1, characterized in that: The various types of power equipment include thermal power equipment, hydropower equipment, wind power equipment, and photovoltaic equipment. The real-time parameter information includes the steam temperature and pressure value of the thermal power equipment, the water level and flow of the hydropower equipment, the wind speed and direction of the wind power equipment, and the light intensity and battery temperature of the photovoltaic equipment.

9. A method for monitoring and analyzing electric power equipment, characterized in that: The method comprises: Obtain real-time parameter information of various power equipment; Building a unified data model based on the real-time parameter information of the various power devices; Based on the unified data model, a unified data view corresponding to the real-time parameter information is generated, and the unified data view is adjusted accordingly according to changes in the real-time parameter information.

10. The power equipment monitoring and analysis method according to claim 9, characterized in that: The unified data model is constructed based on the following steps: Obtaining the number of types of all the power equipment and the number of subsystem layers of each type of the power equipment; Based on the number of types and the number of subsystem layers of each type of power equipment, construct an entity relationship model framework; Converting the real-time parameter information of the plurality of electric power devices into standardized format parameters; The unified data model is constructed based on the standardized format parameters and the entity relationship model framework.

11. The power equipment monitoring and analysis method according to claim 9, characterized in that: The step of obtaining real-time parameter information of various power equipment includes: The communication protocol of the real-time parameter information corresponding to each of the electric power devices is acquired and parsed to extract the real-time parameter information of each of the electric power devices.

12. The power equipment monitoring and analysis method according to claim 9, characterized in that: The step of generating a unified data view corresponding to the real-time parameter information based on the unified data model, and adjusting the unified data view according to changes in the real-time parameter information includes: Based on the unified data model, the real-time parameter information in different formats corresponding to different power devices is converted into the unified data view in a unified format; Acquiring the real-time parameter information after the change; Based on the unified data model, the unified data view is updated to a changed unified data view corresponding to the changed real-time parameter information.

13. The power equipment monitoring and analysis method according to claim 9, characterized in that: The various types of power equipment include thermal power equipment, hydropower equipment, wind power equipment, and photovoltaic equipment. The real-time parameter information includes the steam temperature and pressure value of the thermal power equipment, the water level and flow of the hydropower equipment, the wind speed and wind direction of the wind power equipment, the light intensity and battery temperature of the photovoltaic equipment, as well as the operating status parameters, performance parameters, operating environment parameters and time parameters of each of the power equipment.

14. An electric power equipment monitoring and analysis device, characterized in that: The power equipment monitoring and analysis device comprises: a processor and a memory, wherein instructions are stored in the memory; The processor is capable of calling the instructions in the memory so that the power equipment monitoring and analysis device implements the power equipment monitoring and analysis method as described in any one of claims 9 to 13.

15. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the power equipment monitoring and analysis method as described in any one of claims 9 to 13 is implemented.

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