Multi-dimensional situation analysis method and device based on power data circulation platform

Abstract

The invention relates to a multi-dimensional situation analysis method and device based on an electric power data circulation platform. The method comprises the following steps: when a trigger condition of a situation analysis task is detected, determining different data flow types which are acquired by the situation analysis task in a specified manner; according to the storage configuration information of the electric power data of each data flow type, obtaining the multi-source heterogeneous electric power data of each data flow type through a unified retrieval entry of the electric power data flow platform; performing situation analysis on the power data of each data flow type to obtain a situation analysis result of each data flow type; performing multi-dimensional statistical analysis in combination with the situation analysis result of each data flow type to obtain multi-dimensional situation analysis information of the situation analysis task; and based on the multi-dimensional situation analysis information, generating data service optimization information and / or data circulation risk information for each data circulation type. By adopting the method, the electric power data circulation state can be comprehensively monitored, and the electric power data circulation efficiency and safety are improved.

Description

Technical Field

[0001] The present application relates to the technical field of situation analysis, and in particular to a multi-dimensional situation analysis method, apparatus, computer equipment, computer-readable storage medium, and computer program product based on a power data circulation platform. Background Art

[0002] With the application of smart meters, Internet of Things devices, and power resource transfer platforms, the power data that needs to be processed involves multi-source heterogeneous data from various links such as resource sharing, resource transfer contracts, and operation and maintenance monitoring.

[0003] Under traditional data management methods, data is dispersed across various power business systems, resulting in low cross-system query efficiency and a significant conflict between storage costs and access efficiency, which not only impacts query performance but also increases storage overhead. Traditional data analysis tools, however, fail to fully exploit the value of data, making it difficult to conduct real-time integrated analysis and multi-dimensional correlation analysis. This leads to delayed risk warnings and a lack of basis for optimizing data services. This inability to support dynamic decision-making hinders the efficient circulation of power data and restricts the development of the power industry's digital ecosystem. Summary of the Invention

[0004] Based on this, it is necessary to provide a multi-dimensional situation analysis method, device, computer equipment, computer-readable storage medium and computer program product based on the power data circulation platform that can integrate multi-source data, realize efficient retrieval and intelligent situation analysis, in order to address the above technical problems.

[0005] In a first aspect, the present application provides a multi-dimensional situation analysis method based on a power data circulation platform, the method comprising:

[0006] When a trigger condition of a situation analysis task is detected, determining different data flow types specified for collection by the situation analysis task;

[0007] According to the storage configuration information of the power data of each data circulation type, the power data of each data circulation type of the multi-source heterogeneous structure is obtained through the unified search portal of the power data circulation platform;

[0008] Performing situation analysis on the power data of each data flow type respectively to obtain situation analysis results of each data flow type;

[0009] Performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform;

[0010] Based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each of the data circulation types is generated.

[0011] In one embodiment, the storage configuration information includes hot data storage configuration information and cold data storage configuration information, and the method further includes:

[0012] Determining the data type of the power data of each data flow type according to the query frequency of the power data of each data flow type; the data type includes a hot data type and a cold data type;

[0013] Using the thermal data storage configuration information, storing and processing the power data belonging to the thermal data type; the thermal data storage configuration information includes a storage location and a security level;

[0014] The cold data storage configuration information is used to store and process the power data belonging to the cold data type; the cold data storage configuration information includes a backup strategy and a replication strategy.

[0015] In one embodiment, the acquiring of the power data of each data flow type from multiple sources and heterogeneity includes:

[0016] According to the index configuration information and the data mapping configuration information, a distributed search engine is used to perform indexing and retrieval processing to obtain the multi-source heterogeneous power data of each of the data flow types;

[0017] The index configuration information includes an index identifier, an index field, and an index shard; and the data mapping configuration information includes a mapping field and dynamic mapping information.

[0018] In one embodiment, the data flow type includes a data resource sharing type, and the situation analysis of the power data of each data flow type is performed to obtain the situation analysis results of each data flow type, including:

[0019] According to the power data of the data resource sharing type, a resource sharing situation analysis is performed based on the data resource category and the number of data resource sharing times to obtain a resource sharing situation analysis result; the resource sharing situation analysis result is used to characterize the richness of the power data resources in the power data circulation platform.

[0020] In one embodiment, the data flow type includes a data resource transfer type, and the situation analysis of the power data of each data flow type is performed to obtain the situation analysis results of each data flow type, including:

[0021] According to the power data of the data resource transfer type, a resource transfer situation analysis is performed based on the recorded digital contract information to obtain a resource transfer situation analysis result; the resource transfer situation analysis result is used to characterize the transfer activity of the power data resources in the power data circulation platform.

[0022] In one embodiment, the data flow type includes a data resource monitoring type, and the situation analysis of the power data of each data flow type is performed to obtain the situation analysis results of each data flow type, including:

[0023] According to the power data of the data resource monitoring type, a resource monitoring situation analysis is performed based on the recorded data resource usage monitoring information to obtain a resource monitoring situation analysis result; the resource monitoring situation analysis result is used to characterize the abnormal usage of power data resources in the power data circulation platform.

[0024] In a second aspect, the present application further provides a multi-dimensional situation analysis device based on a power data circulation platform, the device comprising:

[0025] A task triggering module, configured to determine different data flow types specified for collection by the situation analysis task when a triggering condition of the situation analysis task is detected;

[0026] A multi-source heterogeneous data acquisition module is used to acquire multi-source heterogeneous power data of each data flow type through a unified search portal of the power data flow platform according to storage configuration information of the power data of each data flow type;

[0027] A situation analysis module, configured to perform situation analysis on the power data of each data flow type, and obtain situation analysis results for each data flow type;

[0028] A multi-dimensional statistical analysis module is used to perform multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation status of the power data circulation platform;

[0029] The analysis auxiliary information generation module is used to generate data service optimization information and / or data circulation risk information for each data circulation type based on the multi-dimensional situation analysis information.

[0030] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above method when executed by a processor.

[0032] In a fifth aspect, the present application also provides a computer program product, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0033] The above-mentioned multi-dimensional situation analysis method, device, computer equipment, computer-readable storage medium and computer program product based on the power data circulation platform, by determining the different data circulation types specified for collection by the situation analysis task when the triggering conditions of the situation analysis task are detected, and according to the storage configuration information of the power data of each data circulation type, obtaining the power data of each data circulation type of multi-source heterogeneity through the unified retrieval entrance of the power data circulation platform, and then performing situation analysis on the power data of each data circulation type respectively, obtaining the situation analysis results of each data circulation type, and performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain the situation analysis task The multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform, and then based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each data circulation type are generated, thereby optimizing the management of power data circulation. Based on multi-source data integration of power data of different data circulation types, combined with multi-dimensional situation analysis, the power data circulation status can be monitored comprehensively and timely, and data service optimization suggestions and risk warnings are automatically generated based on the multi-dimensional analysis results, which effectively improves the efficiency and security of power data circulation, and provides technical support for the healthy development and dynamic decision-making of the data ecology in the power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 1 is a flow chart of a multi-dimensional situation analysis method based on a power data circulation platform in one embodiment;

[0036] Figure 2 A schematic diagram of multi-dimensional situation analysis integration processing in one embodiment;

[0037] Figure 3Schematic diagram of a flow chart of a multi-dimensional situation analysis method based on a power data circulation platform in another embodiment;

[0038] Figure 4 This is a structural block diagram of a multi-dimensional situation analysis device based on a power data circulation platform in one embodiment;

[0039] Figure 5 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0041] In an exemplary embodiment, Figure 1 As shown, a multi-dimensional situation analysis method based on a power data circulation platform is provided. This embodiment uses the method applied to a terminal as an example for illustration. It is understandable that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps 101 to 104. Among them:

[0042] Step 101: When a trigger condition of a situation analysis task is detected, different data flow types specified for collection by the situation analysis task are determined.

[0043] As an example, a situation analysis task can be triggered based on set conditions, such as setting a fixed time for timing triggering or setting data flow for quantitative triggering, or it can be triggered in response to a user request, such as receiving a creation request for a situation analysis task.

[0044] Among them, the situation analysis task can specify different data flow types that need to be collected, which may include data resource sharing type, data resource transfer type, and data resource monitoring type; the situation analysis task can also specify the data collection scope that needs to be collected, such as the time range of data collection.

[0045] In practical applications, situation analysis is a systematic method that can be used to evaluate the current environment, identify key factors, predict development trends, etc., to provide a basis for decision-making; by detecting the triggering conditions of situation analysis tasks, such as Figure 2 As shown, for the triggered current situation analysis task, the different data flow types and data collection scope that need to be collected as specified by the task can be determined.

[0046] Step 102 : acquiring multi-source heterogeneous power data of each data flow type through a unified search portal of a power data flow platform according to storage configuration information of the power data of each data flow type.

[0047] The storage configuration information may include hot data storage configuration information and cold data storage configuration information. For example, corresponding storage strategies may be adopted for hot data or cold data with different data query frequencies.

[0048] As an example, the power data of each data circulation type may include record data for power data resource sharing, record data for power data resource transfer, record data for power data resource monitoring, and the like.

[0049] In specific implementation, by taking power data and energy data as the main body and adopting a secure and reliable data circulation mechanism, a trusted data circulation platform based on power data resources (i.e., a power data circulation platform) can be established. This platform can realize the availability and invisibility of power data based on privacy computing technology, and form standards and protocols for data exchange and sharing, so that while protecting the privacy of power data resources, data between different power-related systems can be exchanged and utilized safely and efficiently.

[0050] like Figure 2 As shown, in the process of collecting data based on the situation analysis task, detailed query analysis can be performed and data retrieval can be performed using a distributed search engine. Then, based on the unified retrieval portal for data retrieval in the power data circulation platform, it can support query retrieval of multi-source heterogeneous data such as resource sharing data, digital contract record data, data usage monitoring data and / or monitoring abnormality alarm data that need to be collected under multiple conditions.

[0051] Step 103 : Perform situation analysis on the power data of each data flow type respectively to obtain situation analysis results of each data flow type.

[0052] In one example, if Figure 2 As shown in the figure, through resource sharing situation analysis, order contract situation analysis, and monitoring abnormality situation analysis, we can obtain resource sharing situation analysis results, resource transfer situation analysis results, and resource monitoring situation analysis results for different data circulation types.

[0053] Specifically, the results of resource sharing situation analysis can be used to characterize the richness of power data resources; the results of resource transfer situation analysis can be used to characterize the transfer activity of power data resources; and the results of resource monitoring situation analysis can be used to characterize the abnormal usage of power data resources.

[0054] Step 104 , performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform.

[0055] After obtaining the situation analysis results of each data flow type, the overall situation analysis can be carried out, such as Figure 2 As shown, based on data visualization components such as pie charts, bar charts, and line charts, multi-dimensional statistical analysis can be performed in combination with the results of resource sharing situation analysis, resource transfer situation analysis, and resource monitoring situation analysis, thereby obtaining multi-dimensional situation analysis information for characterizing the current data circulation situation.

[0056] Step 105: Generate data service optimization information and / or data circulation risk information for each data circulation type based on the multi-dimensional situation analysis information.

[0057] Optionally, by using visualization components, multi-dimensional analysis can be performed on data circulation, resource sharing status, order contract ecological activity, and monitoring of abnormal usage behavior, such as Figure 2 As shown, data service optimization information and / or data circulation risk information can be generated based on multi-dimensional situation analysis information, thereby helping to optimize data services and improve data security.

[0058] Compared with traditional methods, the technical solution of this embodiment monitors the resource sharing information, digital contract record information and abnormal usage of data resources of power data in real time through multi-dimensional situation analysis, which can provide data support for optimizing data services and decision-making. By building a unified search portal, it can support multi-condition query and retrieval, thereby realizing efficient integration of multi-source data, and performing query, retrieval and situation analysis on it, so as to fully grasp the data circulation situation and support decision-making based on optimized data services.

[0059] In the above-mentioned multi-dimensional situation analysis method based on the power data circulation platform, when the triggering conditions of the situation analysis task are detected, the different data circulation types specified for collection by the situation analysis task are determined. According to the storage configuration information of the power data of each data circulation type, the power data of each data circulation type of multi-source heterogeneous is obtained through the unified retrieval entrance of the power data circulation platform. Then, the power data of each data circulation type is subjected to situation analysis respectively to obtain the situation analysis results of each data circulation type. The situation analysis results of each data circulation type are combined to perform multi-dimensional statistical analysis to obtain multi-dimensional situation analysis information of the situation analysis task. Then, based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each data circulation type are generated, thereby realizing the optimization of power data circulation management. Multi-source data integration is performed based on power data of different data circulation types, and combined with multi-dimensional situation analysis, the power data circulation status can be comprehensively and timely monitored, and data service optimization suggestions and risk warnings are automatically generated based on the multi-dimensional analysis results, effectively improving the efficiency and security of power data circulation, and providing technical support for the healthy development and dynamic decision-making of the data ecology of the power industry.

[0060] In an exemplary embodiment, the storage configuration information includes hot data storage configuration information and cold data storage configuration information, and may include the following steps:

[0061] According to the query frequency of the power data of each data circulation type, the data type of the power data of each data circulation type is determined; the data type includes a hot data type and a cold data type; the hot data storage configuration information is used to store and process the power data belonging to the hot data type; the hot data storage configuration information includes a storage location and a security level; the cold data storage configuration information is used to store and process the power data belonging to the cold data type; the cold data storage configuration information includes a backup strategy and a replication strategy.

[0062] In practical applications, data can be divided into hot data and cold data (that is, data types include hot data types and cold data types) according to the query frequency of the data and stored separately, so as to meet the needs of fast retrieval of recent data and the needs of one-time retrieval of long-term data.

[0063] For example, for the storage configuration of hot data, the storage strategy of hot data (i.e., hot data storage configuration information) can be configured, which may include information such as data ID, storage location, security level, etc., so as to optimize the storage solution and ensure that frequently accessed data can be responded to quickly, thereby improving data access speed, reducing latency, and helping to improve the efficiency of power data circulation.

[0064] For example, for the storage configuration of cold data, you can configure the storage strategy of cold data (i.e., cold data storage configuration information), which may include information such as data ID, backup strategy, and replication strategy. By optimizing the storage solution, infrequently used data can be properly stored and restored when needed, reducing costs and ensuring the long-term accessibility of data, which helps to improve the efficiency of power data circulation.

[0065] In this embodiment, the data type of the power data of each data circulation type is determined according to the query frequency of the power data of each data circulation type, and hot data storage configuration information is used to store and process the power data belonging to the hot data type, and cold data storage configuration information is used to store and process the power data belonging to the cold data type. Based on the hot and cold data hierarchical storage strategy, the response speed of high-frequency access data can be improved, and the storage cost of low-frequency data can be reduced, thereby effectively optimizing the allocation of storage resources and facilitating the efficient management and rapid retrieval of power data.

[0066] In an exemplary embodiment, the acquiring of the multi-source heterogeneous power data of each data flow type may include the following steps:

[0067] According to the index configuration information and the data mapping configuration information, a distributed search engine is used to perform indexing and retrieval processing to obtain multi-source heterogeneous power data of each of the data flow types.

[0068] The index configuration information may include an index identifier, an index field, and an index shard; the data mapping configuration information may include a mapping field and dynamic mapping information.

[0069] In one example, a distributed search engine can be used for on-demand scalability, supporting cross-server, cross-data source, and distributed information indexing technology. This allows for processing structured data exceeding terabytes (e.g., real-time monitoring data from large power systems), enabling retrieval of billions of data points in seconds. Optionally, by optimizing index configuration information, which can include index IDs, index fields, and index shards, data retrieval speed and accuracy can be improved. Furthermore, by defining the index structure and configuration within the distributed search engine, efficient data retrieval can be ensured.

[0070] In another example, the accuracy and efficiency of data retrieval can be improved based on precise data mapping configuration information, which may include mapping fields, dynamic mapping and other information, and by defining mapping rules from data fields to indexes, it can be ensured that data is correctly indexed and retrieved.

[0071] In this embodiment, by using a distributed search engine to perform indexing and retrieval processing based on index configuration information and data mapping configuration information, multi-source heterogeneous power data of each of the data flow types is obtained, which can support automatic adaptation of different data flow types, realize real-time integration and unified access of cross-system and multi-source data, and improve the elasticity and scalability of data processing.

[0072] In an exemplary embodiment, the data flow type may include a data resource sharing type, and performing situation analysis on the power data of each data flow type to obtain the situation analysis results of each data flow type may include the following steps:

[0073] According to the power data of the data resource sharing type, a resource sharing situation analysis is performed based on the data resource category and the number of data resource sharing times to obtain a resource sharing situation analysis result; the resource sharing situation analysis result is used to characterize the richness of the power data resources in the power data circulation platform.

[0074] In an optional embodiment, power data of data resource sharing type can record the power data resource ID, data resource category, data resource sharing times, etc., to identify the data of resource sharing type; through resource sharing situation analysis, multiple statistical analysis dimensions can be provided to help platform managers and data providers better understand data sharing status, data sharing trends, etc., so as to provide data support for resource richness analysis and help optimize data services.

[0075] In this embodiment, by performing resource sharing situation analysis based on the power data of the data resource sharing type, the data resource category and the number of data resource sharing times, and obtaining the resource sharing situation analysis results, it is possible to quantify the data sharing situation and dynamically evaluate the richness of power data resources, thereby providing a basis for optimizing data resource configuration and improving platform service capabilities.

[0076] In an exemplary embodiment, the data flow type may include a data resource transfer type, and performing situation analysis on the power data of each data flow type to obtain the situation analysis results of each data flow type may include the following steps:

[0077] According to the power data of the data resource transfer type, a resource transfer situation analysis is performed based on the recorded digital contract information to obtain a resource transfer situation analysis result; the resource transfer situation analysis result is used to characterize the transfer activity of the power data resources in the power data circulation platform.

[0078] In actual applications, power data of data resource transfer type can record information such as resource transfer order number, digital contract number, contract date, etc. to identify the data of data resource transfer type; through resource transfer situation analysis, it can provide a variety of statistical analysis dimensions to help platform managers and data providers better understand the digital contract signing situation, resource transfer trends, etc., thereby providing data support for the analysis of the activity level of the data resource ecosystem, which helps to optimize data services.

[0079] In this embodiment, by performing resource transfer situation analysis based on the recorded digital contract information according to the power data of the data resource transfer type, the resource transfer situation analysis results are obtained, which can quantify the power data resource transfer situation and dynamically evaluate the circulation activity of data resources, providing a measurable decision-making basis for platform operation optimization and risk monitoring.

[0080] In an exemplary embodiment, the data flow type may include a data resource monitoring type, and performing situation analysis on the power data of each data flow type to obtain the situation analysis results of each data flow type may include the following steps:

[0081] According to the power data of the data resource monitoring type, a resource monitoring situation analysis is performed based on the recorded data resource usage monitoring information to obtain a resource monitoring situation analysis result; the resource monitoring situation analysis result is used to characterize the abnormal usage of power data resources in the power data circulation platform.

[0082] In specific implementation, power data of data resource monitoring type can record usage record information such as data resource monitoring log ID, data resource usage type and time, and usage operation object to identify data of data resource monitoring type; through resource monitoring situation analysis, it can help platform managers and data providers monitor and identify abnormal data resource usage operations, understand the patterns and characteristics of abnormal usage behaviors, and thus provide data support for formulating risk management strategies and improving data security by analyzing abnormal usage situations.

[0083] In this embodiment, by performing resource monitoring status analysis based on the recorded data resource usage monitoring information according to the power data of the data resource monitoring type, the resource monitoring status analysis results are obtained, which can dynamically identify abnormal access or operation behaviors, improve the platform's security risk warning capabilities, and accurately locate data abuse or inefficient circulation links, providing a basis for the compliant scheduling and efficient allocation of power data resources.

[0084] In an exemplary embodiment, Figure 3 As shown, a flow chart of another multi-dimensional situation analysis method based on the power data circulation platform is provided. In this embodiment, the method includes the following steps:

[0085] In step 301, when the triggering conditions for a situation analysis task are detected, the different data flow types specified for collection by the situation analysis task are determined. In step 302, based on the storage configuration information of the power data for each data flow type, a distributed search engine is used to index and retrieve the data through the unified search portal of the power data flow platform, obtaining multi-source, heterogeneous power data for each data flow type. In step 303, a resource sharing situation analysis is performed on the power data for data resource sharing based on the data resource category and the number of times the data resource is shared, obtaining a resource sharing situation analysis result. In step 304, a resource transfer situation analysis is performed on the power data for data resource transfer based on the recorded digital contract information, obtaining a resource transfer situation analysis result. In step 305, a resource monitoring situation analysis is performed on the power data for data resource monitoring based on the recorded data resource usage monitoring information, obtaining a resource monitoring situation analysis result. In step 306, a multi-dimensional statistical analysis is performed on the situation analysis results for each data flow type, obtaining multi-dimensional situation analysis information for the situation analysis task. In step 307, based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each data circulation type is generated.

[0086] It should be noted that the specific limitations of the above steps can be found in the specific limitations of a multi-dimensional situation analysis method based on a power data circulation platform mentioned above, which will not be repeated here.

[0087] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0088] Based on the same inventive concept, the embodiments of the present application also provide a multi-dimensional situation analysis device based on an electric power data circulation platform for implementing the multi-dimensional situation analysis method based on an electric power data circulation platform involved above. The implementation solution provided by the device is similar to the implementation solution described in the above method, so the specific limitations in the embodiments of one or more multi-dimensional situation analysis devices based on an electric power data circulation platform provided below can be found in the above limitations on the multi-dimensional situation analysis method based on an electric power data circulation platform, and will not be repeated here.

[0089] In an exemplary embodiment, Figure 4 As shown, a multi-dimensional situation analysis device based on a power data circulation platform is provided, comprising:

[0090] The task triggering module 401 is used to determine different data flow types to be collected by the situation analysis task when a triggering condition of the situation analysis task is detected;

[0091] A multi-source heterogeneous data acquisition module 402 is configured to acquire multi-source heterogeneous power data of each data flow type through a unified search portal of the power data flow platform based on storage configuration information of the power data of each data flow type;

[0092] A situation analysis module 403 is used to perform situation analysis on the power data of each data flow type to obtain situation analysis results for each data flow type;

[0093] A multi-dimensional statistical analysis module 404 is configured to perform multi-dimensional statistical analysis on the situation analysis results of each data flow type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data flow status of the power data flow platform;

[0094] The analysis auxiliary information generation module 405 is used to generate data service optimization information and / or data circulation risk information for each data circulation type based on the multi-dimensional situation analysis information.

[0095] In one embodiment, the storage configuration information includes hot data storage configuration information and cold data storage configuration information, and the apparatus further includes:

[0096] a data type determination module, configured to determine the data type of the power data of each data flow type according to the query frequency of the power data of each data flow type; the data type includes a hot data type and a cold data type;

[0097] A thermal data storage module, configured to store and process power data belonging to the thermal data type using the thermal data storage configuration information; the thermal data storage configuration information includes a storage location and a security level;

[0098] The cold data storage module is used to use the cold data storage configuration information to store and process the power data belonging to the cold data type; the cold data storage configuration information includes a backup strategy and a replication strategy.

[0099] In one embodiment, the multi-source heterogeneous data acquisition module 402 is specifically used to use a distributed search engine to perform indexing and retrieval processing based on index configuration information and data mapping configuration information to obtain multi-source heterogeneous power data of each data flow type; wherein the index configuration information includes index identifiers and index fields, as well as index shards; and the data mapping configuration information includes mapping fields and dynamic mapping information.

[0100] In one embodiment, the data circulation type includes a data resource sharing type, and the situation analysis module 403 is specifically used to perform resource sharing situation analysis based on the power data of the data resource sharing type, the data resource category and the number of data resource sharing times, to obtain a resource sharing situation analysis result; the resource sharing situation analysis result is used to characterize the richness of power data resources in the power data circulation platform.

[0101] In one embodiment, the data circulation type includes a data resource transfer type, and the situation analysis module 403 is specifically used to perform resource transfer situation analysis based on the power data of the data resource transfer type and the recorded digital contract information to obtain a resource transfer situation analysis result; the resource transfer situation analysis result is used to characterize the transfer activity of the power data resources in the power data circulation platform.

[0102] In one embodiment, the data circulation type includes a data resource monitoring type, and the situation analysis module 403 is specifically used to perform resource monitoring situation analysis based on the power data of the data resource monitoring type and the recorded data resource usage monitoring information to obtain a resource monitoring situation analysis result; the resource monitoring situation analysis result is used to characterize the abnormal usage of power data resources in the power data circulation platform.

[0103] Each module in the aforementioned multi-dimensional situation analysis device based on the power data circulation platform can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in the form of software in a memory in the computer device, so that the processor can call and execute the corresponding operations of each module.

[0104] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via wired or wireless communication, and the wireless communication can be achieved via WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a multi-dimensional situation analysis method based on a power data circulation platform.

[0105] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0106] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0107] When a trigger condition of a situation analysis task is detected, determining different data flow types specified for collection by the situation analysis task;

[0108] According to the storage configuration information of the power data of each data circulation type, the power data of each data circulation type of the multi-source heterogeneous structure is obtained through the unified search portal of the power data circulation platform;

[0109] Performing situation analysis on the power data of each data flow type respectively to obtain situation analysis results of each data flow type;

[0110] Performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform;

[0111] Based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each of the data circulation types is generated.

[0112] In one embodiment, when the processor executes the computer program, it also implements the steps of the multi-dimensional situation analysis method based on the power data circulation platform in the other embodiments mentioned above.

[0113] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0114] When a trigger condition of a situation analysis task is detected, determining different data flow types specified for collection by the situation analysis task;

[0115] According to the storage configuration information of the power data of each data circulation type, the power data of each data circulation type of the multi-source heterogeneous structure is obtained through the unified search portal of the power data circulation platform;

[0116] Performing situation analysis on the power data of each data flow type respectively to obtain situation analysis results of each data flow type;

[0117] Performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform;

[0118] Based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each of the data circulation types is generated.

[0119] In one embodiment, when the computer program is executed by the processor, it also implements the steps of the multi-dimensional situation analysis method based on the power data circulation platform in the other embodiments described above.

[0120] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0121] When a trigger condition of a situation analysis task is detected, determining different data flow types specified for collection by the situation analysis task;

[0122] According to the storage configuration information of the power data of each data circulation type, the power data of each data circulation type of the multi-source heterogeneous structure is obtained through the unified search portal of the power data circulation platform;

[0123] Performing situation analysis on the power data of each data flow type respectively to obtain situation analysis results of each data flow type;

[0124] Performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform;

[0125] Based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each of the data circulation types is generated.

[0126] In one embodiment, when the computer program is executed by the processor, it also implements the steps of the multi-dimensional situation analysis method based on the power data circulation platform in the other embodiments described above.

[0127] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0128] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0129] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A multi-dimensional situation analysis method based on a power data circulation platform, characterized in that: The method comprises: When a trigger condition of a situation analysis task is detected, determining different data flow types specified for collection by the situation analysis task; According to the storage configuration information of the power data of each data circulation type, the power data of each data circulation type of the multi-source heterogeneous structure is obtained through the unified search portal of the power data circulation platform; Performing situation analysis on the power data of each data flow type respectively to obtain situation analysis results of each data flow type; Performing multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation situation of the power data circulation platform; Based on the multi-dimensional situation analysis information, data service optimization information and / or data circulation risk information for each of the data circulation types is generated.

2. The method according to claim 1, characterized in that The storage configuration information includes hot data storage configuration information and cold data storage configuration information, and the method further includes: Determining the data type of the power data of each data flow type according to the query frequency of the power data of each data flow type; the data type includes a hot data type and a cold data type; Using the thermal data storage configuration information, storing and processing the power data belonging to the thermal data type; the thermal data storage configuration information includes a storage location and a security level; The cold data storage configuration information is used to store and process the power data belonging to the cold data type; the cold data storage configuration information includes a backup strategy and a replication strategy.

3. The method according to claim 1 or 2, characterized in that The acquiring of multi-source heterogeneous power data of each data flow type includes: According to the index configuration information and the data mapping configuration information, a distributed search engine is used to perform indexing and retrieval processing to obtain the multi-source heterogeneous power data of each of the data flow types; The index configuration information includes an index identifier, an index field, and an index shard; and the data mapping configuration information includes a mapping field and dynamic mapping information.

4. The method according to claim 1, wherein The data flow type includes a data resource sharing type, and the situation analysis is performed on the power data of each data flow type to obtain the situation analysis results of each data flow type, including: According to the power data of the data resource sharing type, a resource sharing situation analysis is performed based on the data resource category and the number of data resource sharing times to obtain a resource sharing situation analysis result; the resource sharing situation analysis result is used to characterize the richness of the power data resources in the power data circulation platform.

5. The method according to claim 1, wherein The data flow type includes a data resource transfer type, and the situation analysis is performed on the power data of each data flow type to obtain the situation analysis results of each data flow type, including: According to the power data of the data resource transfer type, a resource transfer situation analysis is performed based on the recorded digital contract information to obtain a resource transfer situation analysis result; the resource transfer situation analysis result is used to characterize the transfer activity of the power data resources in the power data circulation platform.

6. The method according to claim 1, characterized in that The data flow type includes a data resource monitoring type, and the situation analysis is performed on the power data of each data flow type to obtain the situation analysis results of each data flow type, including: According to the power data of the data resource monitoring type, a resource monitoring situation analysis is performed based on the recorded data resource usage monitoring information to obtain a resource monitoring situation analysis result; the resource monitoring situation analysis result is used to characterize the abnormal usage of power data resources in the power data circulation platform.

7. A multi-dimensional situation analysis device based on a power data circulation platform, characterized in that: The device comprises: A task triggering module, configured to determine different data flow types specified for collection by the situation analysis task when a triggering condition of the situation analysis task is detected; A multi-source heterogeneous data acquisition module is used to acquire multi-source heterogeneous power data of each data flow type through a unified search portal of the power data flow platform according to storage configuration information of the power data of each data flow type; A situation analysis module, configured to perform situation analysis on the power data of each data flow type, and obtain situation analysis results for each data flow type; A multi-dimensional statistical analysis module is used to perform multi-dimensional statistical analysis on the situation analysis results of each data circulation type to obtain multi-dimensional situation analysis information of the situation analysis task; the multi-dimensional situation analysis information is used to characterize the current data circulation status of the power data circulation platform; The analysis auxiliary information generation module is used to generate data service optimization information and / or data circulation risk information for each data circulation type based on the multi-dimensional situation analysis information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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