Energy storage monitoring visual data calibration system and method

Abstract

The invention provides an energy storage monitoring visual data calibration system and method, and the system comprises a communication access module which is used for receiving original operation data from a plurality of monitoring systems of an energy storage power station; the data preprocessing module is used for preprocessing the original operation data to obtain first operation data; the data mapping module is used for performing data mapping on the first operation data to obtain second operation data under the target data model; the data calibration module is used for performing data calibration on the second operation data to obtain a data calibration result; the visual presentation module is used for displaying at least one of the second operation data and the data calibration result on the interactive interface; and the data forwarding module is used for forwarding the calibrated data to a superior cloud platform. Therefore, the calibration system can realize the automatic processing of the operation data of the energy storage power station, greatly improves the processing efficiency of the operation data of the energy storage power station, reduces the manual intervention, and reduces the data error rate.

Description

Technical Field

[0001] The present application relates to the field of energy and power technology, and in particular to a system and method for calibrating visualized data for energy storage monitoring. Background Art

[0002] In the monitoring scenario of energy storage power stations, the operation data obtained may be wrong. In the related technologies, most of them rely on manual calibration of the operation data of energy storage power stations, which has the problems of low efficiency and high data error rate, resulting in low operation safety of energy storage power stations. Summary of the invention

[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first objective of the present application is to propose a visualization data calibration system for energy storage monitoring.

[0005] The second objective of this application is to propose a method for calibrating energy storage monitoring visualization data.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a visual data calibration system for energy storage monitoring, including: a communication access module, used to receive original operating data from multiple monitoring systems of an energy storage power station, wherein at least two of the monitoring systems have different original data models; a data preprocessing module, used to preprocess the original operating data to obtain first operating data; a data mapping module, used to perform data mapping on the first operating data to obtain second operating data under a target data model; a data calibration module, used to perform data calibration on the second operating data to obtain a data calibration result, wherein the data calibration result includes the data after the second operating data is calibrated; a visual presentation module, used to display at least one of the second operating data and the data calibration result on an interactive interface; a data forwarding module, used to forward the calibrated data to an upper-level cloud platform.

[0010] To achieve the above-mentioned purpose, the second aspect of the present application proposes a method for calibrating visualized data for energy storage monitoring, comprising: receiving original operating data from multiple monitoring systems of an energy storage power station, wherein at least two of the monitoring systems have different original data models; preprocessing the original operating data to obtain first operating data; performing data mapping on the first operating data to obtain second operating data under a target data model; performing data calibration on the second operating data to obtain a data calibration result, wherein the data calibration result includes data after calibration of the second operating data; displaying at least one of the second operating data and the data calibration result on an interactive interface; and forwarding the calibrated data to an upper-level cloud platform.

[0011] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method described in the second aspect embodiment above.

[0012] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement the method described in the second aspect embodiment above.

[0013] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the method described in the second aspect of the present application.

[0014] The present application provides a system, method, electronic device and storage medium for visualizing data calibration of energy storage monitoring, wherein the calibration system includes a communication access module for receiving original operation data from multiple monitoring systems of an energy storage power station, wherein at least two of the monitoring systems have different original data models, a data preprocessing module for preprocessing the original operation data to obtain first operation data, a data mapping module for performing data mapping on the first operation data to obtain second operation data under a target data model, a data calibration module for performing data calibration on the second operation data to obtain a data calibration result, wherein the data calibration result includes the data after the second operation data is calibrated, a visualization presentation module for displaying at least one of the second operation data and the data calibration result on an interactive interface, and a data forwarding module for forwarding the calibrated data to an upper-level cloud platform. Therefore, the calibration system can realize the automatic processing of the energy storage power station operation data, greatly improve the efficiency of energy storage power station operation data processing, reduce manual intervention, reduce data error rate, ensure the efficient and safe operation of the energy storage power station, and is suitable for unmanned application scenarios of energy storage power stations. In addition, users can intuitively understand the operating status of the energy storage power station, and can realize the visual calibration of the energy storage power station operation data, optimizing the user experience.

[0015] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0017] Figure 1 A schematic diagram of a system for calibrating energy storage monitoring visualization data provided by an embodiment of the present application;

[0018] Figure 2 A schematic diagram of another energy storage monitoring visualization data calibration system provided in an embodiment of the present application;

[0019] Figure 3 A schematic diagram of a communication access module provided in an embodiment of the present application;

[0020] Figure 4 A schematic diagram of a data preprocessing module provided in an embodiment of the present application;

[0021] Figure 5 A schematic diagram of a data mapping module provided in an embodiment of the present application;

[0022] Figure 6A schematic diagram of a data calibration module provided in an embodiment of the present application;

[0023] Figure 7 A schematic diagram of a data forwarding module provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0025] The energy storage monitoring visualization data calibration system according to an embodiment of the present application is described below with reference to the accompanying drawings.

[0026] Figure 1 A schematic diagram of a system for calibrating energy storage monitoring visualization data provided in an embodiment of the present application.

[0027] In the monitoring scenario of energy storage power stations, the operation data obtained may be wrong. In the related technologies, most of them rely on manual calibration of the operation data of energy storage power stations, which has the problems of low efficiency and high data error rate, resulting in low operation safety of energy storage power stations.

[0028] To address this problem, an embodiment of the present application provides a visual data calibration system for energy storage monitoring. The calibration system can realize the automated processing of energy storage power station operation data, greatly improve the efficiency of energy storage power station operation data processing, reduce manual intervention, reduce data error rate, and ensure efficient and safe operation of the energy storage power station. It is suitable for application scenarios where the energy storage power station is unattended. In addition, users can intuitively understand the operating status of the energy storage power station, and can realize visual calibration of the energy storage power station operation data, thereby optimizing the user experience.

[0029] like Figure 1 As shown, the energy storage monitoring visualization data calibration system (referred to as the calibration system) includes: a communication access module, a data preprocessing module, a data mapping module, a data calibration module, a visualization presentation module and a data forwarding module.

[0030] The communication access module is used to receive original operation data from multiple monitoring systems of the energy storage power station, wherein the original data models of at least two monitoring systems are different.

[0031] The data preprocessing module is used to preprocess the original operation data to obtain first operation data.

[0032] The data mapping module is used to perform data mapping on the first operation data to obtain second operation data under the target data model.

[0033] The data calibration module is used to perform data calibration on the second operation data to obtain a data calibration result, wherein the data calibration result includes the data after the second operation data is calibrated.

[0034] A visualization presentation module is used to display at least one of the second operation data and the data calibration result on the interactive interface.

[0035] The data forwarding module is used to forward the calibrated data to the upper-level cloud platform.

[0036] It should be noted that there are no excessive restrictions on the monitoring system, for example, it may include the energy storage monitoring EMS (Electrical Management System), the booster station SCADA (Supervisory Control and Data Acquisition) system, the fire protection system, the security system, etc. The communication access module can receive the original operation data from multiple monitoring systems of the energy storage power station through different communication protocols.

[0037] For example, Figure 2 , 3 As shown in , 5, the communication access module (also called the protocol parsing module) receives the original operation data from the security equipment through the security interface, receives the original operation data from the fire protection equipment through Modbus TCP (Transmission Control Protocol), receives the original operation data from the booster station SCADA system through the one-way 104, and receives the original operation data from the energy storage monitoring EMS system through the E file transmission. It should be noted that Modbus TCP, one-way 104, and E file transmission are all a communication protocol. E file refers to a file consisting of the original operation data of the energy storage monitoring EMS system.

[0038] Exemplarily, the communication access module is further used to parse the received encapsulated operation data of the monitoring system according to the communication protocol to obtain the original operation data of the monitoring system.

[0039] It should be noted that there are not too many restrictions on data preprocessing methods, for example, it may include data cleaning, deduplication, outlier detection, etc.

[0040] It should be noted that the target data model is the data model of the calibration system itself. There are no excessive restrictions on the target data model and the original data model. In this solution, the first operating data under different original data models can be mapped to a unified target data model to obtain the second operating data. For example, Figure 2As shown, the data mapping module can realize multi-protocol access, and perform data mapping on the first operation data through a model mapping method to obtain the second operation data.

[0041] It should be noted that there are no excessive restrictions on the data calibration results, for example, it may include calibrated data, data positions of the calibrated data, and annotation data for indicating that an abnormality occurs in the second operating data.

[0042] Exemplarily, the data calibration module is further used to call a data calibration tool, and perform data calibration on the second operation data through the data calibration tool to obtain a data calibration result. It should be noted that there is no excessive limitation on the data calibration tool, for example, it may include an outlier detection algorithm, a data normalization algorithm, etc. Figure 2 , 6 As shown, the data calibration module is also used to call data calibration tools such as an outlier detection algorithm and a data normalization algorithm, and perform data calibration on the second running data through the data calibration tools to obtain a data calibration result.

[0043] Exemplarily, the data calibration module is further used to perform at least one operation such as screening, sorting, clustering, etc. on the second operating data based on user needs to obtain data to be displayed.

[0044] Exemplarily, the visual presentation module is also used to receive an input operation for user needs. It is understandable that the user can input the user needs on the interactive interface, and the personalized acquisition of user needs can be achieved.

[0045] Exemplarily, the visualization presentation module is also used to present the data to be presented on the interactive interface.

[0046] It should be noted that the upper cloud platform refers to a cloud computing platform used for remote monitoring, management and optimization of energy storage power stations. The data forwarding module is also used to forward the calibrated data to the upper cloud platform through the communication protocol.

[0047] For example, Figure 2 As shown, the data forwarding module obtains the calibrated data through the Redis database access interface, the E file generation service, and the TD database access interface.

[0048] For example, Figure 7 As shown, the data forwarding module obtains the calibrated data from the Redis real-time library through the Redis database access interface, generates an E file based on the calibrated data through the E file generation service, and obtains the calibrated data from the Td time series library through the TD database access interface. It should be noted that the Redis real-time library and the Td time series library are both a type of database.

[0049] For example, Figure 2, 7 As shown, the data forwarding module forwards the calibrated data to the upper-level cloud platform through communication protocols such as Kafka e file forwarding, 104 protocol forwarding, and Mqtt IoT protocol forwarding.

[0050] Exemplarily, the data forwarding module is suitable for application scenarios of single sampling and multiple transmission, that is, forwarding the same calibrated data to multiple upper-level cloud platforms.

[0051] In summary, the energy storage monitoring visualization data calibration system of the embodiment of the present application includes a communication access module for receiving the original operation data from multiple monitoring systems of the energy storage power station, wherein the original data models of at least two monitoring systems are different, a data preprocessing module for preprocessing the original operation data to obtain the first operation data, a data mapping module for performing data mapping on the first operation data to obtain the second operation data under the target data model, a data calibration module for performing data calibration on the second operation data to obtain the data calibration result, wherein the data calibration result includes the data after the second operation data is calibrated, a visualization presentation module for displaying at least one of the second operation data and the data calibration result on the interactive interface, and a data forwarding module for forwarding the calibrated data to the upper cloud platform. Thus, the calibration system can realize the automatic processing of the operation data of the energy storage power station, greatly improve the efficiency of the operation data processing of the energy storage power station, reduce manual intervention, reduce the data error rate, ensure the efficient and safe operation of the energy storage power station, and is suitable for the application scenario of the unattended energy storage power station. In addition, the user can intuitively understand the operation status of the energy storage power station, and can realize the visualization calibration of the operation data of the energy storage power station, which optimizes the user experience.

[0052] On the basis of any of the above embodiments, the original operation data includes real-time operation data and historical operation data, and the data preprocessing module is further used to perform data preprocessing on the currently received real-time operation data to obtain third operation data, and to perform data preprocessing on the historical operation data according to a set period to obtain fourth operation data. Therefore, the data preprocessing module is also used to perform data preprocessing on the real-time operation data, and to perform data preprocessing on the historical operation data regularly.

[0053] It should be noted that there are no excessive restrictions on the set period, for example, it may include one week, one month, etc. The first operation data includes the third operation data and the fourth operation data.

[0054] For example, Figure 2 As shown, the data preprocessing module is also used to perform outlier detection, rationality verification, validity verification, etc. on real-time data (i.e., real-time operation data), and to perform consistency detection, duplication detection, missing detection, etc. on historical data (i.e., historical operation data).

[0055] For example, Figure 4 As shown, the data preprocessing module is also used to perform data cleaning such as outlier detection, rationality verification, and validity verification on the real-time operation data to obtain the third operation data, and store the third operation data in the Redis real-time database.

[0056] Obtain historical operation data from the Redis real-time library through the historical storage service, store the historical operation data, perform consistency detection, duplication detection, missing detection, etc. on the historical data to obtain the fourth operation data, and store the fourth operation data in the Td time series library.

[0057] In one embodiment, the data preprocessing module is further used to perform data statistics on the original operation data to obtain statistical data of the original operation data, and add the statistical data to the first operation data to supplement the information.

[0058] For example, Figure 2 As shown, the data preprocessing module is also used to supplement the information of the data not collected by the energy storage system, and to supplement the information of the data that needs to be calculated by the energy storage system (such as battery consistency data).

[0059] For example, Figure 4 As shown, the data preprocessing module is also used to supplement the information of the data not collected by the energy storage system through the statistical service, and / or supplement the information of the data that needs to be calculated by the energy storage system, obtain statistical data, and store the statistical data in the Redis real-time library.

[0060] For example, Figure 2 As shown, the data preprocessing module also includes a security linkage module, an image recognition module and a video patrol management module, which are used to preprocess the original operation data from the security equipment.

[0061] Based on any of the above embodiments, the data mapping module is also used to obtain a data mapping strategy for mapping the original data model of the i-th monitoring system to the target data model, wherein i is a positive integer not greater than N, and N is the number of monitoring systems. According to the data mapping strategy corresponding to the i-th monitoring system, data mapping is performed on the first operating data corresponding to the i-th monitoring system to obtain the second operating data corresponding to the i-th monitoring system.

[0062] It can be understood that the data mapping strategy corresponding to the ith monitoring system refers to the data mapping strategy of mapping the original data model of the ith monitoring system to the target data model. The data mapping strategies of mapping different original data models to target data models may be different, and the data mapping strategies corresponding to different monitoring systems may be different.

[0063] It should be noted that there are no excessive restrictions on the data mapping strategy, for example, it may include a multi-dimensional data mapping strategy.

[0064] For example, Figure 5 As shown, the data mapping module is also used to map the first operating data to a unified data model (ie, a target data model) through a multi-dimensional data mapping model to obtain second operating data.

[0065] The data mapping module is also used to construct a multi-dimensional data mapping model based on the data mapping strategies corresponding to the N monitoring systems.

[0066] Based on any of the above embodiments, the data calibration module is further used to perform root cause analysis on the abnormality of the second operation data, obtain calibration suggestions for the monitoring device from which the second operation data is derived, and add the calibration suggestions to the data calibration results. Thus, the data calibration module is also used to provide calibration suggestions for the monitoring device, so that maintenance personnel can manually calibrate the monitoring device according to the calibration suggestions, thereby reducing the difficulty of manual calibration.

[0067] For example, Figure 2 , 6 As shown, the data calibration module is also used to mark and prompt abnormal values ​​and provide calibration suggestions so that the monitoring equipment can be manually calibrated to obtain calibration data, or automatically calibrated to obtain calibration data.

[0068] Based on any of the above embodiments, the visualization presentation module is also used to display at least one of the second operating data and the data calibration result on the interactive interface according to at least one visualization strategy of data distribution, data trend, data correlation relationship, and data mapping relationship. The user can intuitively understand at least one feature of the distribution, trend, correlation relationship, and mapping relationship of the operating data, thereby optimizing the user experience.

[0069] For example, Figure 2 As shown, the visualization presentation module is also used to present data distribution and trends, data association relationships and data mapping relationships in the form of charts on the interactive interface.

[0070] Exemplarily, the visualization strategies for data distribution include histograms, box plots, and the like.

[0071] Exemplarily, the visualization strategy of data trends includes line charts, area charts, and the like.

[0072] Exemplarily, the visualization strategy of the data association relationship includes an association display strategy, etc. The association display strategy may include a hyperlink, displaying data associated with the data in a surrounding area of ​​the data, etc.

[0073] Exemplarily, the visualization strategy of the data mapping relationship includes a mapping table, an association display strategy, and the like.

[0074] In one embodiment, the visualization presentation module is further used to obtain the original field of the original operating data corresponding to the target operating data, wherein the target operating data includes at least one of the second operating data and the calibrated data, obtain the target field of the target operating data, and associate and display the target operating data, the original field, and the target field on the interactive interface. Thus, the user can intuitively understand the operating data, the original field of the operating data under the monitoring system, and the target field of the operating data under the calibration system, which is convenient for the user to distinguish the original fields and target fields of the multiple operating data, thereby optimizing the user's experience.

[0075] It should be noted that the original field refers to the field of the original operating data under the original data model, that is, the field of the original operating data under the monitoring system, and the target field refers to the field of the target operating data under the target data model, that is, the field of the target operating data under the calibration system. The original field and the target field may be the same or different.

[0076] In one embodiment, the visualization module is further used to obtain the device type of the monitoring device from which the second operation data comes, and based on the device type, display at least one of the second operation data and the data calibration result on the interactive interface. Thus, the visualization module is also used to display the operation data according to different device types, thereby improving the flexibility of displaying the operation data.

[0077] Exemplarily, the visualization module is further used to display at least one of the second operation data and the data calibration result on the interactive interface based on the data display mode corresponding to the device type. It is understandable that the data display mode corresponding to different device types may be different.

[0078] In order to implement the above-mentioned embodiment, the present application also proposes a method for calibrating visual data of energy storage monitoring, including: receiving original operating data from multiple monitoring systems of an energy storage power station, wherein at least two of the monitoring systems have different original data models; preprocessing the original operating data to obtain first operating data; performing data mapping on the first operating data to obtain second operating data under a target data model; performing data calibration on the second operating data to obtain a data calibration result, wherein the data calibration result includes the data after the second operating data is calibrated; displaying at least one of the second operating data and the data calibration result on an interactive interface; and forwarding the calibrated data to an upper-level cloud platform.

[0079] Furthermore, in a possible implementation of an embodiment of the present application, the original operating data includes real-time operating data and historical operating data, and the preprocessing of the original operating data to obtain the first operating data includes: performing data preprocessing on the real-time operating data currently received to obtain third operating data; and performing data preprocessing on the historical operating data according to a set period to obtain fourth operating data.

[0080] Further, in a possible implementation manner of the embodiment of the present application, the preprocessing of the original operating data to obtain the first operating data includes: performing data statistics on the original operating data to obtain statistical data of the original operating data; and adding the statistical data to the first operating data.

[0081] Furthermore, in a possible implementation method of an embodiment of the present application, the data mapping of the first operating data to obtain the second operating data under the target data model includes: obtaining a data mapping strategy for mapping the original data model of the i-th monitoring system to the target data model, where i is a positive integer not greater than N, and N is the number of the monitoring systems; and according to the data mapping strategy corresponding to the i-th monitoring system, performing data mapping on the first operating data corresponding to the i-th monitoring system to obtain the second operating data corresponding to the i-th monitoring system.

[0082] Furthermore, in a possible implementation of an embodiment of the present application, the data calibration is performed on the second operating data to obtain a data calibration result, including: performing a root cause analysis on an abnormality in the second operating data to obtain a calibration suggestion for a monitoring device that is the source of the second operating data; and adding the calibration suggestion to the data calibration result.

[0083] Furthermore, in a possible implementation method of an embodiment of the present application, the displaying of at least one of the second operating data and the data calibration result on the interactive interface includes: displaying at least one of the second operating data and the data calibration result on the interactive interface according to a visualization strategy of at least one of data distribution, data trend, data correlation relationship, and data mapping relationship.

[0084] Furthermore, in a possible implementation of an embodiment of the present application, the second operating data and the data calibration result are displayed on the interactive interface according to a visualization strategy of at least one of data distribution, data trend, data association relationship, and data mapping relationship, including: obtaining the original field of the original operating data corresponding to the second operating data; obtaining the target field of the second operating data; and displaying the second operating data, the original field, and the target field in an associated manner on the interactive interface.

[0085] Furthermore, in a possible implementation method of an embodiment of the present application, displaying at least one of the second operating data and the data calibration result on the interactive interface includes: obtaining the device type of the monitoring device from which the second operating data comes; and based on the device type, displaying at least one of the second operating data and the data calibration result on the interactive interface.

[0086] It should be noted that the above explanations of the embodiment of the energy storage monitoring visualized data calibration system are also applicable to the energy storage monitoring visualized data calibration method of this embodiment, and will not be repeated here.

[0087] In summary, according to the energy storage monitoring visualization data calibration method of the embodiment of the present application, the original operation data from multiple monitoring systems of the energy storage power station is received, wherein the original data models of at least two monitoring systems are different, the original operation data is preprocessed to obtain the first operation data, the first operation data is data mapped to obtain the second operation data under the target data model, the second operation data is data calibrated to obtain the data calibration result, wherein the data calibration result includes the data after the second operation data is calibrated, at least one of the second operation data and the data calibration result is displayed on the interactive interface, and the calibrated data is forwarded to the upper cloud platform. In this way, the automatic processing of the operation data of the energy storage power station can be realized, which greatly improves the efficiency of the operation data processing of the energy storage power station, reduces manual intervention, reduces the data error rate, ensures the efficient and safe operation of the energy storage power station, and is suitable for the application scenario of the unmanned energy storage power station. In addition, the user can intuitively understand the operation status of the energy storage power station, and can realize the visualization calibration of the operation data of the energy storage power station, which optimizes the user experience.

[0088] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the energy storage monitoring visualization data calibration method provided in the above embodiments.

[0089] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the energy storage monitoring visualization data calibration method provided in the above embodiments.

[0090] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which, when executed by a processor, implements the energy storage monitoring visualization data calibration method provided in the above embodiments.

[0091] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0092] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0093] The present application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, the present disclosure is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, the risk can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0094] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0095] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood to control or imply relative importance or implicitly indicate the number of technical features controlled. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0096] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0097] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0098] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0099] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0100] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0101] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A visual data calibration system for energy storage monitoring, characterized in that: include: A communication access module, used to receive original operation data from multiple monitoring systems of the energy storage power station, wherein the original data models of at least two of the monitoring systems are different; A data preprocessing module, used for preprocessing the original operation data to obtain first operation data; A data mapping module, used for performing data mapping on the first operation data to obtain second operation data under a target data model; a data calibration module, configured to perform data calibration on the second operation data to obtain a data calibration result, wherein the data calibration result includes the data after the second operation data is calibrated; A visual presentation module, used to display at least one of the second operating data and the data calibration result on an interactive interface; The data forwarding module is used to forward the calibrated data to the upper-level cloud platform.

2. The system according to claim 1, characterized in that The original operation data includes real-time operation data and historical operation data. The data preprocessing module is further used for: Performing data preprocessing on the currently received real-time operation data to obtain third operation data; According to a set period, data preprocessing is performed on the historical operation data to obtain fourth operation data.

3. The system according to claim 1, characterized in that The data preprocessing module is also used for: Performing data statistics on the original operation data to obtain statistical data of the original operation data; The statistical data is added to the first operating data.

4. The system according to claim 1, characterized in that The data mapping module is further used for: Obtain a data mapping strategy for mapping an original data model of the i-th monitoring system to the target data model, wherein i is a positive integer not greater than N, and N is the number of the monitoring systems; According to the data mapping strategy corresponding to the i-th monitoring system, data mapping is performed on the first operation data corresponding to the i-th monitoring system to obtain the second operation data corresponding to the i-th monitoring system.

5. The system according to claim 1, characterized in that The data calibration module is further used for: Performing a root cause analysis on the abnormality of the second operating data to obtain calibration suggestions for the monitoring device from which the second operating data is derived; The calibration suggestion is added to the data calibration result.

6. The system according to claim 1, characterized in that The visual presentation module is further used for: At least one of the second operating data and the data calibration result is displayed on the interactive interface according to a visualization strategy of at least one of data distribution, data trend, data association relationship, and data mapping relationship.

7. The system according to claim 6, characterized in that The visual presentation module is further used for: Acquire an original field of original operating data corresponding to target operating data, wherein the target operating data includes at least one of the second operating data and the calibrated data; Obtaining a target field of the target operation data; The target operation data, the original field and the target field are displayed in association on the interactive interface.

8. The system according to claim 1, characterized in that The visual presentation module is further used for: Obtaining a device type of a monitoring device that is a source of the second operation data; Based on the device type, the second operating data and the data calibration result are displayed on the interactive interface.

9. A method for calibrating energy storage monitoring visualization data, characterized in that: include: Receiving original operation data from a plurality of monitoring systems of an energy storage power station, wherein original data models of at least two of the monitoring systems are different; Preprocessing the original operation data to obtain first operation data; Performing data mapping on the first operating data to obtain second operating data under a target data model; Performing data calibration on the second operation data to obtain a data calibration result, wherein the data calibration result includes data after the second operation data is calibrated; Displaying at least one of the second operating data and the data calibration result on an interactive interface; The calibrated data is forwarded to the upper-level cloud platform.

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