A multi-source data sharing method and system for power generation enterprises

Abstract

The application relates to the technical field of big data analysis, in particular to a multi-source data sharing method and system for a power generation enterprise, which acts on a sharing initiation end, and the multi-source data sharing method for the power generation enterprise comprises the following steps: when it is obtained that the health risk of a shared data source reaches a critical risk, recording a traversal request about a health log of the shared data source, which is associated with real-time state of a power station of the shared data source, on a shared transmission cache of the sharing initiation end; obtaining a sharing plan for the health log based on time sequence clustering processing of the power generation enterprise for the traversal request; and delivering the sharing plan to a sharing demand end. The application adopts an active supervision mechanism for the health risk of the shared data source, especially can timely early warn and share the non-occurrence risk data source of the critical risk during sharing, and maximally links the existing risk of the data source after sharing.

Description

Technical Field

[0001] This application relates to the field of big data analytics, and in particular to a method and system for multi-source data sharing for power generation companies. Background Technology

[0002] Due to harsh environments and unpredictable human factors, power systems are highly prone to failure, and various abnormal operating conditions occur frequently during operation. To proactively respond to emergencies, power systems need not only accurate, reliable, comprehensive, and timely status information on the power grids within their coverage area, but also professional analysis and diagnosis of this complex, multi-source, heterogeneous data.

[0003] However, existing technologies lack proactive monitoring mechanisms for the health risks of shared data sources. In particular, they cannot provide timely warnings for data sources with critical risks that have not yet occurred during sharing, leading to risks in the shared data sources. Therefore, there is an urgent need for a solution that facilitates effective sharing of data sources. Summary of the Invention

[0004] To achieve the above objectives, this application provides the following technical solution:

[0005] According to a first aspect of the present invention, the present invention claims protection for a multi-source data sharing method for power generation enterprises, which operates at a sharing initiator, the multi-source data sharing method for power generation enterprises comprising:

[0006] When the health risk of the shared data source reaches a critical risk, a traversal request for the health log of the shared data source associated with the real-time status of the power plant of the shared data source is recorded on the shared transmission buffer of the shared initiator.

[0007] Based on the temporal clustering processing of the power generation enterprise for the traversal request, a sharing plan for the health log is obtained;

[0008] The sharing plan is communicated to the sharing demand side.

[0009] Furthermore, determine whether the health risk of the shared data source has reached a critical level, using the following methods:

[0010] If the real-time power generation network traffic of the shared initiator is the same as the current power generation network traffic of the shared data source, then the health risk of the shared data source is determined to have reached the critical risk.

[0011] Furthermore, determine whether the health risk of the shared data source has reached a critical level, using the following methods:

[0012] Based on the initial power generation network traffic and current power generation network traffic of the shared data source, find other data sources similar to the shared data source;

[0013] When the health duration of the shared data source and the health duration of other data sources meet preset conditions, the health risk of the shared data source is determined to have reached a critical risk.

[0014] Furthermore, determine whether the health risk of the shared data source has reached a critical level, using the following methods:

[0015] After receiving an abnormal status warning record regarding the shared data source, it is determined that the health risk of the shared data source has reached the critical risk level; or,

[0016] If the power generation company obtains the time-series clustering processing of the shared controls for the completed shared data source, then it is determined that the health risk of the shared data source has reached the critical risk; or,

[0017] If the power generation company obtains the time-series clustering processing of shared data sources that are not shared in other data source pages, then it is determined that the health risk of the shared data source has reached the critical risk.

[0018] Furthermore, the traversal request includes multiple root node warning records, each root node warning record corresponds to multiple child node warning records, and each root node warning record and its corresponding child node warning record are identified as belonging to the same category. The traversal request for recording the health log of the shared data source associated with the real-time status of the power plant on the shared transmission buffer at the shared initiator includes:

[0019] Record the multiple root node warning records in the shared transmission buffer;

[0020] Based on the time-series clustering processing of the root node early warning records by the power generation enterprise, the records corresponding to the root node early warning records in the time-series clustering processing are identified as child node early warning records of the same category; wherein, the root node early warning records are data with brief descriptions, and the child node early warning records are data with detailed descriptions.

[0021] Furthermore, the step of obtaining a sharing plan for the health log based on the time-series clustering processing of the power generation enterprise for the traversal request includes:

[0022] Based on the time-series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the root node early warning record and / or child node early warning record corresponding to the time-series clustering process.

[0023] The traversal request includes root node warning records corresponding to different sharing types, each root node warning record having a corresponding summary description data. The traversal request for recording the health log of the shared data source, which is associated with the real-time status of the power plant of the shared data source, on the shared transmission buffer at the sharing initiator includes:

[0024] The root node warning records corresponding to different sharing types are recorded in the shared transmission buffer;

[0025] Based on the time-series clustering processing of the root node early warning records by the power generation enterprise, the summary description data of the root node early warning records corresponding to the time-series clustering processing is highlighted.

[0026] Furthermore, the step of obtaining a sharing plan for the health log based on the time-series clustering processing of the power generation enterprise for the traversal request includes:

[0027] The sharing plan is obtained based on the time-series clustering process initiated by the power generation company and the summary description data corresponding to the root node early warning record of the time-series clustering process.

[0028] The traversal request includes any one or more of the following: negative class traversal request, neutral class traversal request, and positive class traversal request;

[0029] The traversal request is determined based on the real-time status of the power plant from the shared data source; wherein, the real-time status of the power plant from the shared data source includes any one or more of the following: power generation attack signal data, power generation network traffic data, three-phase voltage and current data, and meteorological data.

[0030] Furthermore, the multi-source data sharing method for power generation enterprises also includes:

[0031] Obtain the early warning record returned by the sharing demand side indicating that the sharing plan and the sharing data source are successfully associated;

[0032] The child node warning records corresponding to the negative class traversal request include any one or more of the following: warning records for the lack of a specified power generation emergency plan, warning records for the failure to make maintenance safety reminders, warning records for poor cleanliness of the power plant, warning records for poor positioning accuracy, warning records for poor image clarity, and warning records for poor radar signal transmission.

[0033] The child node warning records corresponding to the neutral class traversal request include any one or more of the following: warning records for accurate matching of emergency plans, warning records for accurate positioning, warning records for good power plant environment, warning records for radar signal transmission standards, and warning records for stable image clarity.

[0034] The child node warning records corresponding to the forward traversal request include any one or more of the following: warning records regarding complete emergency plans, warning records regarding proactive updates to shared status, warning records regarding maintenance security reminders, warning records regarding maintenance log standards, and warning records regarding compliance with maintenance characteristics.

[0035] Furthermore, the multi-source data sharing method for power generation enterprises also includes:

[0036] Based on the temporal clustering of power generation enterprises, the shared endpoint period and the shared start period are determined;

[0037] Based on the sharing release process initiated by the power generation company, a sharing release request is transmitted to the sharing demand side, so that the sharing demand side will allocate the shared data source obtained according to the sharing release request to the target service provider and start monitoring the shared data source.

[0038] According to a second aspect of the present invention, the present invention claims protection for a multi-source data sharing system for power generation enterprises, comprising:

[0039] One or more processors;

[0040] A memory storing one or more programs, which, when executed by one or more processors, enable the processors to implement the multi-source data sharing method for power generation enterprises.

[0041] This application relates to the field of big data analytics, and more particularly to a method and system for multi-source data sharing in power generation enterprises. Operating at the sharing initiator, the method includes: when the health risk of a shared data source reaches a critical level, recording a traversal request for the health logs of the shared data source, associated with the real-time status of the power plant, on the shared transmission buffer at the sharing initiator; obtaining a sharing plan for the health logs based on the power generation enterprise's time-series clustering processing of the traversal request; and transmitting the sharing plan to the sharing requester. This invention employs an active monitoring mechanism for the health risk of shared data sources, especially providing timely warnings for data sources with critical risks that have not yet occurred during sharing, minimizing the risk associated with shared data sources. Attached Figure Description

[0042] Figure 1 A flowchart illustrating a multi-source data sharing method for power generation enterprises, as claimed in an embodiment of this application;

[0043] Figure 2This is a second flowchart of a multi-source data sharing method for power generation enterprises claimed in an embodiment of this application;

[0044] Figure 3 This is a third flowchart of a multi-source data sharing method for power generation enterprises, as claimed in an embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0046] The terms "first," "second," and "third" in this application are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative power generation network flow relationship, motion state, etc., between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indication will change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0047] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various power generation network traffic examples in the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0048] See Figure 1 As shown, Figure 1 A flowchart of a multi-source data sharing method for power generation enterprises provided in this application embodiment, applied to the sharing initiator, includes:

[0049] S101. When the health risk of the shared data source reaches the critical risk, record the traversal request of the health log of the shared data source associated with the real-time status of the power plant of the shared data source on the shared transmission buffer of the shared initiator.

[0050] S102. Based on the time-series clustering processing of the power generation enterprise for the traversal request, a sharing plan for the health log is obtained.

[0051] S103. Transmit the sharing plan to the sharing demand side.

[0052] In step 101, the shared data source is a power plant data source. Power plant data sources are generally obtained and allocated in the following manner: the power generation company transmits a sharing initiation carrying shared data to the sharing demand side based on the sharing initiation. The sharing demand side obtains the shared data based on the shared data and allocates a service provider to the shared data source, thus successfully obtaining the shared data source. Both the sharing initiation and service providers are configured with the power plant platform's application; the aforementioned sharing demand side is the backend sharing demand side of the power plant platform. It should be noted that the shared data source here corresponds to a shared data source with a service provider. Based on the shared data source, the power generation company can obtain shared services provided by the service provider and share the services according to their required level.

[0053] The sharing initiator can monitor the health risks of the shared data source. Here, the health risks of the shared data source can include: data source obtained, recording location of running power generation behavior, arrival at recording location of power generation behavior, waiting for power generation behavior to be recorded, power generation behavior recorded, running end period, arrival at end period, power generation cost calculation in progress, power generation cost calculation completed, data source to be shared, power generation behavior initiates data source sharing request, data source sharing completed. The critical risk of the shared data source is one or more of the above health risks. For example, "arrival at end period" and "power generation cost calculation completed" can be set as the critical risks of the shared data source. When the sharing initiator obtains the health risk of the shared data source as "arrival at end period", it determines that the shared data source is in critical risk in real time. When the sharing initiator obtains the health risk of the shared data source as "power generation cost calculation completed", and the real-time shared data source is a data source to be shared, it determines that the shared data source is in critical risk in real time.

[0054] The real-time status of the power plant in the shared data source is associated with the traversal request of the shared data source, and the real-time status of the power plant in the shared data source includes any one or more of the following: power generation attack signal data, power generation network traffic data, three-phase voltage and current data, and meteorological data.

[0055] The traversal request is determined based on the real-time status of the power plant of the shared data source. It represents the content that the power generation company may share with the shared data source and is used to guide the power generation company to share with the shared data source. If the real-time status of the power plant of the shared data source is different, the traversal request corresponding to the shared data source will also be different. The traversal request of the shared data source is related to the real-time status of the power plant of the shared data source, which can provide the power generation company with early warning records that best match its true sharing intentions.

[0056] When the health risk of the shared data source reaches a critical level at the sharing initiator, the power generation company can share the shared data source. In order to improve the targeting and accuracy of the sharing by the power generation company, the traversal request of the health log of the shared data source is recorded on the shared transmission cache at the sharing initiator to guide the power generation company to share the shared data source.

[0057] In step 102, the sharing initiator obtains the power generation company's sharing plan for the health logs of the shared data source based on the power generation company's time-series clustering processing of the traversal request, the recorded traversal request, and the processing object of the time-series clustering processing.

[0058] As an optional implementation, the traversal request is a question that addresses potential service issues in the health log, such as the positioning accuracy of the power generation station. The sharing initiator processes the text input from the power generation company, obtains the text data input by the power generation company, and, based on the traversal request and the corresponding text data, obtains the sharing plan made by the power generation company for the health log. In this approach, since the traversal request is associated with the real-time status of the power plant of the shared data source, the power generation company, guided by the traversal request, provides feedback data on the traversal request, i.e., the text data input by the power generation company. The sharing plan obtained based on the traversal request and the text data input by the power generation company is also associated with the real-time status of the power plant of the shared data source, resulting in a more accurate sharing plan.

[0059] As another optional implementation, the traversal request is a candidate sharing plan that the power generation company may make. Based on the real-time status of the power plant of the shared data source, multiple candidate sharing plans that the power generation company may make for the shared data source are determined. Multiple candidate sharing plans are recorded in the shared transmission buffer of the sharing initiator for the power generation company to choose from. Based on the power generation company's selection of multiple candidate sharing plans, the sharing initiator obtains the sharing plan made by the power generation company for the health log based on the candidate sharing plan corresponding to the selection process. Here, the sharing plan is composed of the candidate sharing plans selected by the power generation company, that is, it is composed of the traversal requests selected by the power generation company. Since the traversal request is associated with the real-time status of the power plant of the shared data source, the sharing plan composed of the traversal request is also associated with the real-time status of the power plant of the shared data source. Therefore, the accuracy of the obtained sharing plan is higher.

[0060] The method of obtaining a sharing plan based on traversal requests and textual data input by power generation companies offers several advantages. First, guided by traversal requests linked to the real-time status of power plants in relation to the shared data source, power generation companies can input any data they wish to share. This method offers high flexibility but requires manual input of the sharing plan, increasing processing complexity. Second, the method of obtaining a sharing plan based on the traversal request chosen by the power generation company eliminates the need for manual input. The company can simply make a selection to share the data source, reducing processing complexity. However, this method is limited by the traversal requests provided by the sharing initiator, resulting in lower flexibility. In practice, to balance processing complexity and sharing flexibility, traversal requests typically include both questions about potential service issues in the health log and candidate sharing plans that the power generation company might propose.

[0061] In step 103, the shared demand side is the backend shared demand side of the power plant platform. The shared initiator transmits the shared plan of the shared data source to the shared demand side so that the shared demand side can store and process the shared plan of the shared data source.

[0062] The multi-source data sharing method for power generation enterprises provided in this application embodiment records, when the shared data source reaches a critical risk, a traversal request for the health log of the shared data source, which is associated with the real-time status of the power plant of the shared data source, on the shared transmission buffer at the sharing initiator. The traversal request has a high degree of correlation with the actual health log of the shared data source, which makes it easy for the power generation enterprise to quickly make a sharing plan associated with the actual health log based on the time-series clustering processing of the traversal request. The sharing plan is obtained with high efficiency and high accuracy.

[0063] Furthermore, the multi-source data sharing method for power generation enterprises provided in this application embodiment has various methods for obtaining the critical risks of shared data sources, which will be described in detail below.

[0064] Method 1 for obtaining critical risk: If the real-time power generation network traffic of the shared initiator is the same as the current power generation network traffic of the shared data source, then the health risk of the shared data source is determined to have reached the critical risk.

[0065] During the process of sharing a health data source, the real-time power generation network traffic of the sharing initiator is obtained and compared with the current power generation network traffic of the shared data source. If the real-time power generation network traffic of the sharing initiator is the same as the current power generation network traffic of the shared data source, it is determined that the power generation enterprise has reached the current power generation network traffic for this sharing, and thus it is determined that the health risk of the shared data source has reached the critical risk. A traversal request is then provided to the power generation enterprise. In this way, the power generation enterprise can immediately share the health log of the shared data source after reaching the current power generation network traffic of the shared data source.

[0066] Method 2 for obtaining critical risk: Step 1: Based on the initial power generation network traffic and current power generation network traffic of the shared data source, find other data sources similar to the shared data source;

[0067] Step 2: When the health duration of the shared data source and the health duration of the other data sources meet the preset conditions, determine that the health risk of the shared data source has reached the critical risk level.

[0068] Based on the initial and current power generation network traffic of the shared data source, multiple other data sources are identified that show a healthy transition from the initial power generation network traffic to the current power generation network traffic of the shared data source. These are considered alternative data sources similar to the shared data source. Based on the health time of each alternative data source from the initial power generation network traffic to the current power generation network traffic, a corresponding health time threshold is determined for the shared data source. The health duration of the shared data source from the initial power generation network traffic to the current power generation network traffic is obtained in real time. If the health duration of the shared data source exceeds the aforementioned health time threshold, it is determined that the shared service for power generation has been completed, and the health risk of the shared data source has reached a critical level. A traversal request is then provided to the power generation company. In this approach, determining whether the shared service has been completed based on the health duration of the shared data source avoids prolonged performance degradation at the power generation end. Once the health duration of the power generation company reaches the specified health duration threshold, the health log of the shared data source is immediately shared.

[0069] Here, the health time threshold is determined according to the following method: the average health duration of other data sources is used as the preset health time threshold, or the maximum health duration of other data sources is used as the preset health time threshold.

[0070] Method 3 for obtaining critical risk: After obtaining the abnormal status warning record of the shared data source, determine that the health risk of the shared data source has reached the critical risk.

[0071] After the shared data source is flagged as having abnormal sharing permissions, the sharing initiator will receive an abnormal status warning record of the shared data source. At this point, it can be determined that the shared service for power generation has been completed, and the health risk of the shared data source has reached a critical risk level. This allows the power generation company to receive a traversal request. During the process of maintaining a healthy shared data source, the power generation company may not be able to monitor the data prompt status of the sharing initiator in real time. However, when the power generation company corrects the sharing permissions of the shared data source, it needs to use the sharing initiator to correct the sharing permissions. At this time, the power generation company can promptly receive the traversal request recorded by the sharing initiator, resulting in a high success rate for the power generation company to obtain the shared plan.

[0072] Correspondingly, all three methods of obtaining critical risks mentioned above involve power generation companies sharing the shared data source during the process of sharing health data sources. If power generation companies do not share the shared data source during the process of sharing health data sources, follow-up assessments can be conducted using the following two methods:

[0073] Method 4 for obtaining critical risk: If the power generation company obtains the time-series clustering processing of the shared controls for the completed shared data source, then it is determined that the health risk of the shared data source has reached the critical risk.

[0074] When a power generation company views a completed but unshared shared data source based on the sharing initiator, the shared transmission cache of the sharing initiator records the shared controls of the shared data source. If the power generation company performs time-series clustering on this shared control and determines that the health risk of the shared data source has reached a critical level, a traversal request is provided to the power generation company so that it can share the completed shared data source. In this approach, the power generation company needs to use the sharing initiator to search for the shared data source to be shared among other data sources and obtain the traversal request recorded by the sharing initiator based on time-series clustering of shared controls. This results in high processing complexity for the power generation company. To reduce this complexity, the following method for obtaining critical risk is provided.

[0075] Method 5 for obtaining critical risk: If the power generation company obtains the time-series clustering processing of shared data sources that are not shared in other data source pages, then it is determined that the health risk of the shared data source has reached the critical risk.

[0076] The other data source page recorded by the power generation company's sharing initiator includes multiple completed shared data sources of the power generation company. If the power generation company obtains the time-series clustering processing of the shared data source among the multiple completed shared data sources, and the shared data source is a non-shared shared data source, then it is determined that the health risk of the shared data source has reached the critical risk. The other data source page is updated in real time to the shared page of the shared data source. The shared page includes the traversal request provided to the power generation company so that the power generation company can share the completed shared data source.

[0077] In this approach, when power generation companies select and view the shared data source to be shared using the sharing initiator, the sharing initiator directly records the sharing page of the shared data source. This eliminates the need for power generation companies to perform time-series clustering of the sharing control, thereby reducing the processing complexity for power generation companies and improving the efficiency of obtaining the sharing plan.

[0078] Comparing the five methods for acquiring critical risks, the following approaches are considered: Acquiring critical risks based on the real-time traffic of the power generation network where the sharing initiator is located allows for timely provision of traversal requests to power generation companies when the current network traffic arrives. Acquiring critical risks based on the health duration of the shared data source avoids prolonged performance degradation at the power generation end. Once the health duration of the power generation company reaches a specified threshold, the health logs of the shared data source can be shared, facilitating timely detection of performance degradation. Acquiring critical risks based on abnormal status warning records of the shared data source records traversal requests immediately after the sharing permissions of the shared data source are corrected, ensuring that power generation companies receive traversal requests promptly and preventing them from neglecting to share the shared data source. Acquiring critical risks based on shared controls of the shared data source allows for follow-up evaluation of the service quality of the shared data source. Acquiring critical risks based on the time-series clustering of other data source pages by the power generation company eliminates the need for time-series clustering of shared controls, simplifying the processing complexity for power generation companies and improving sharing efficiency.

[0079] Further, see Figure 2 As shown, Figure 2 A flowchart of another multi-source data sharing method for power generation enterprises provided in this application embodiment, wherein the traversal request includes multiple root node warning records, each root node warning record corresponds to multiple child node warning records, and each root node warning record and its corresponding child node warning record are identified as belonging to the same category; the traversal request for recording the health log of the shared data source associated with the real-time status of the power plant on the shared transmission buffer at the sharing initiator includes:

[0080] S201. Record the multiple root node warning records in the shared transmission buffer.

[0081] In this step, the traversal requests include multiple categories, and different categories of traversal requests represent different trend trends, such as meeting requirements and not meeting requirements. Under the same category, the traversal requests correspond to two levels of warning records: root node warning records and child node warning records. The root node warning record is a warning record that represents the overall trend trend and is a concise warning record, such as meeting requirements. The child node warning record is a warning record that reflects multiple aspects of the trend trend of the root node warning record based on the root node warning record and is a specific warning record, such as the specific manifestations of the power generation company meeting the requirements, such as friendly positioning accuracy and a clean and tidy power plant environment.

[0082] Based on the sharing plan made by the power generation company based on the root node warning record, it can be determined that the power generation company shares the overall data source. Based on the sharing plan made by the power generation company based on the child node warning record, it can be determined that the power generation company shares specific service items of the shared data source. For example, based on the root node warning record, it can be determined that the power generation company's service representation of the shared data source meets the requirements, and based on the child node warning record, it can be determined that the power generation company meets the specific requirements of the shared data source.

[0083] S202. Based on the time-series clustering processing of the root node early warning records by the power generation enterprise, the child node early warning records that are identified as belonging to the same category as the root node early warning records corresponding to the time-series clustering processing are recorded; wherein, the root node early warning records are data that provides a brief description, and the child node early warning records are data that provides a detailed description.

[0084] In this step, the sharing initiator, based on the time-series clustering processing of multiple root node warning records by the power generation enterprise, determines the trend represented by the root node warning records corresponding to the time-series clustering processing as the overall sharing of the shared data source by the power generation enterprise. In order to obtain the sharing of specific service items of the shared data source by the power generation enterprise, the child node warning records are recorded on the shared transmission cache. Among them, the child node warning records and the root node warning records of the time-series clustering of the power generation enterprise are identified as belonging to the same category.

[0085] It should be noted that both the root node early warning record and the child node early warning record are associated with the real-time status of the power plant from the shared data source, and the root node early warning record and the child node early warning record are highly consistent with the content that the power generation company wants to share.

[0086] Based on the time-series clustering of the power generation company's "meets requirements" for the root node warning records, it is determined that the power generation company's overall sharing of the shared data source is "meets requirements". In the second recording area 3B, multiple sub-node warning records corresponding to "meets requirements" are recorded, namely "good power plant environment" and "excellent image clarity", so that the power generation company can further share specific service items of the shared data source based on multiple sub-node warning records.

[0087] Furthermore, when the traversal request includes both root node warning records and child node warning records, the step of obtaining a sharing plan for the health log based on the power generation company's time-series clustering processing of the traversal request includes:

[0088] The sharing plan is obtained based on the time-series clustering process initiated by the power generation company and the root node early warning record and / or child node early warning record corresponding to the time-series clustering process.

[0089] Based on the time-series clustering processing of multiple sub-node warning records by power generation enterprises, the corresponding sub-node warning records are used as specific service items shared by the power generation enterprise with the shared data source. After the power generation enterprise confirms the submission of sharing, the sharing plan of the shared data source is obtained based on the root node warning record and the sub-node warning records of the power generation enterprise's time-series clustering. The sharing plan includes both the overall sharing of the shared data source by the power generation enterprise and the sharing of specific service items of the shared data source. Alternatively, since the root node warning record and the sub-node warning records are identified as belonging to the same category and represent the same trend, the overall sharing of the shared data source by the power generation enterprise can be determined based on the sub-node warning records of the power generation enterprise's time-series clustering. Therefore, the sharing plan of the shared data source can also be obtained based solely on the sub-node warning records of the power generation enterprise's time-series clustering. Furthermore, after the power generation enterprise performs time-series clustering of the root node warning record, it can also submit the sharing directly without performing time-series clustering processing on multiple sub-node warning records. In this case, the sharing plan of the shared data source is obtained based on the root node warning record of the power generation enterprise's time-series clustering.

[0090] Further, see Figure 3 As shown, Figure 3 A flowchart of another multi-source data sharing method for power generation enterprises provided in this application embodiment, wherein the traversal request includes root node warning records corresponding to different sharing types, each root node warning record having corresponding summary description data, and the traversal request for recording the health log of the shared data source associated with the real-time status of the power plant on the shared transmission buffer at the sharing initiator includes:

[0091] S301. Record the root node warning records corresponding to different sharing types in the shared transmission buffer.

[0092] In this step, the traversal requests include multiple categories, and different categories of traversal requests represent different trend directions, such as meeting the requirements and not meeting the requirements. Under the same category, the traversal request corresponds to a root node warning record and the summary description data corresponding to the root node warning record. The root node warning record is a warning record that represents the overall trend direction and is a general warning record, such as meeting the requirements. The summary description data corresponding to the root node warning record is the specific meaning of the root node warning record, such as "The service is great, I want to praise the power generation end". Compared with the brief text description of the root node warning record, the summary description data can fully reflect the true meaning of the root node warning record, so that the power generation company clearly understands the true meaning represented by the root node warning record.

[0093] S302. Based on the time-series clustering processing of the root node early warning records by the power generation enterprise, highlight the summary description data of the root node early warning records corresponding to the time-series clustering processing.

[0094] In this step, the sharing initiator, based on the time-series clustering processing of multiple root node warning records by the power generation enterprise, determines the trend represented by the root node warning records corresponding to the time-series clustering processing as the overall sharing of the shared data source by the power generation enterprise. In order to determine whether the power generation enterprise has mistakenly selected the root node warning record, the summary description data corresponding to the root node warning record of the power generation enterprise's time-series clustering is highlighted, so that the power generation enterprise can clearly understand the true meaning of the selected root node warning record. Among them, the summary description data and the root node warning record of the power generation enterprise's time-series clustering are identified as belonging to the same category.

[0095] It should be noted that if the root node warning record is a facial expression, after the power generation company performs time-series clustering on the root node warning record, the facial expression of the time-series clustering is updated from the initial color (black and white) to the target color (color). Alternatively, after dynamically recording the expression for a preset time length, it is fixed as a color expression, so that the power generation company can know the true meaning of the root node warning record of time-series clustering based on the change of the expression.

[0096] Based on the time-series clustering of the root node early warning records of power generation companies, the summary description data corresponding to "meets the requirements" is recorded in the second record area 5B: "The service is amazing, I want to praise the power generation end."

[0097] Accordingly, the traversal request can include multiple root node warning records, as well as the corresponding child node warning records and summary description data for each root node warning record. The first recording area contains three categories of root node warning records: "Meets Requirements," "Neutral," and "Does Not Meet Requirements," accompanied by emojis and brief text descriptions. Based on the power generation company's time-series clustering processing of the "Meets Requirements" root node warning record, the second recording area records the summary description data corresponding to "Meets Requirements," while the third recording area (5C) records multiple child node warning records corresponding to "Meets Requirements."

[0098] Furthermore, given that the traversal request includes root node warning records and corresponding summary description data, the step of obtaining a sharing plan for the health log based on the power generation company's time-series clustering processing of the traversal request includes:

[0099] The sharing plan is obtained based on the time-series clustering process initiated by the power generation company and the summary description data corresponding to the root node early warning record of the time-series clustering process.

[0100] Based on the temporal clustering processing of the summary description data corresponding to the root node early warning record of the temporal clustering by the power generation enterprise, it is determined that the power generation enterprise has learned the true meaning of the root node early warning record of the temporal clustering. According to the root node early warning record and the summary description data corresponding to the root node early warning record, the sharing plan of the health log of the shared data source is obtained. Here, the sharing plan is the overall sharing of the shared data source by the power generation enterprise.

[0101] Furthermore, the traversal request includes any one or more of the following: negative class traversal request, neutral class traversal request, and positive class traversal request.

[0102] When sharing a shared data source, the trend of power generation companies is usually: not meeting the needs, average, and meeting the needs. Correspondingly, the sentiment tendency of not meeting the needs corresponds to the negative class traversal request, the sentiment tendency of average corresponds to the neutral class traversal request, and the sentiment tendency of meeting the needs corresponds to the positive class traversal request.

[0103] As one optional implementation, traversal requests correspond to two categories: negative traversal requests and positive traversal requests. As another optional implementation, traversal requests correspond to three categories: negative traversal requests, positive traversal requests, and positive traversal requests.

[0104] Optionally, traversal requests can be categorized not only from the perspective of whether the power generation company's service to the shared data source meets its needs, but also from the perspective of multiple service items. Specifically, traversal requests include any one or more of the following: positioning accuracy traversal requests, image clarity traversal requests, and power plant environment traversal requests. Power generation companies can choose to share different service items. For example, a power generation company may only share the positioning accuracy of the shared data source.

[0105] Furthermore, in the multi-source data sharing method for power generation enterprises provided in this application embodiment, the traversal request is determined based on the real-time status of the power plant of the shared data source; wherein, the real-time status of the power plant of the shared data source includes any one or more of the following: power generation attack signal data, power generation network traffic data, three-phase voltage and current data, and meteorological data.

[0106] In this embodiment of the application, the real-time status of the power plant of the shared data source is different, and the traversal request corresponding to the shared data source is also different. The shared demand side determines the traversal request corresponding to the shared data source based on the real-time status of the power plant of the shared data source.

[0107] Specifically, after receiving the traversal request for the shared data source from the sharing initiator, the sharing demand side determines the service scenario corresponding to the shared data source based on the power generation company's role (the power generation company holding the sharing initiator) and the meteorological data corresponding to the shared data source; based on the power generation network traffic data (e.g., city) where the power generation company is located and the service scenario corresponding to the shared data source, it determines the basic traversal request corresponding to the shared data source; based on the power generation company's account registration time, number of shared services, and account level, it obtains a dedicated traversal request associated with the aforementioned identity data; and the basic traversal request and the dedicated traversal request are determined as the traversal request.

[0108] Correspondingly, the roles of power generation companies include power generation behavior and power generation terminals. Different roles of power generation companies lead to different perspectives on sharing shared data sources. In practice, the sharing of power generation behavior with power generation terminals and power plant platforms is different from the sharing of power generation behavior and power plant platforms by power generation terminals. Since different meteorological data correspond to different service standards, the service requirements of power generation companies for shared services are also different under different meteorological data. Therefore, the sharing of shared data sources by power generation companies differs under different meteorological data.

[0109] In practice, power generation network traffic data can be the city where the power generation company is located. Different cities have different climate conditions and different attributes of power generation companies, so the service requirements in the sharing process will also be different. It is necessary to distinguish the city where the power generation company is located. Based on the power generation network traffic data of the power generation company and the service scenario of the shared data source, the basic traversal request of the shared data source is determined. Here, under the same service scenario, the basic traversal request will be different when the power generation company is located in different power generation network traffic. The basic traversal request is associated with the power generation network traffic data of the power generation company.

[0110] Based on the power generation company's account registration time, number of shared services, and account level, it can be determined whether the power generation company is a new power generation company, an old power generation company, a low-level account, a medium-level account, a high-level account, or other special identity power generation company. Different power generation attack signals will have different requirements for shared services. Here, based on the power generation company's account registration time, number of shared services, and account level, the special identity of the power generation company is determined, and then a special traversal request associated with the power generation company's special identity is obtained.

[0111] Based on this, the traversal request is associated with the power generation network traffic data and identity data of the power generation enterprise, as well as the meteorological data of the shared data source, making the traversal request more in line with the actual sharing needs of the power generation enterprise.

[0112] Furthermore, the traversal request is also associated with three voltage and current data points. These three voltage and current data points are the three voltage and current modes held by the power generation company at the sharing initiator, including any of the following three voltage and current modes: Simplified Chinese, Traditional Chinese, English, Japanese, Korean, etc. The traversal request associated with the three voltage and current modes of the sharing initiator is obtained, which facilitates the sharing initiator to obtain the sharing plan based on the traversal request.

[0113] The shared demand side pre-stores various traversal requests locally. These pre-stored traversal requests include multiple categories. Based on the power generation network traffic data of the power generation enterprise and the service scenario of the shared data source, traversal requests associated with the power generation network traffic data and service scenario are searched from the pre-stored multiple traversal requests to serve as basic traversal requests. Since the pre-stored traversal requests include multiple categories, the searched basic traversal requests also include multiple categories. Correspondingly, based on the power generation enterprise's special identity data, traversal requests associated with the special identity data are searched from the pre-stored multiple traversal requests to serve as exclusive traversal requests. Since the pre-stored traversal requests include multiple categories, the searched exclusive traversal requests also include multiple categories.

[0114] This method of obtaining traversal requests, based on the power generation network traffic data where the power generation enterprise is located and the service scenario corresponding to the shared data source, determines the basic traversal request at the city level; based on the power generation enterprise's special identity data, the obtained exclusive traversal request is at the power generation enterprise level. The traversal requests include both the city-level basic traversal requests and the power generation enterprise-level exclusive traversal requests, which can provide power generation enterprises with traversal requests that are both comprehensive and tailored to their actual needs, thereby improving the efficiency and accuracy of power generation enterprises in sharing shared data sources.

[0115] Furthermore, in the multi-source data sharing method for power generation enterprises provided in this application embodiment, the sharing initiator can also obtain early warning records of successful association between the sharing plan and the sharing data source returned by the sharing demander.

[0116] The sharing initiator transmits the sharing plan to the sharing demander. After obtaining the sharing plan from the sharing data source, the sharing demander associates the sharing plan with the data source data already obtained by the sharing data source. After the association is successful, it transmits an early warning record to the sharing initiator to indicate that the sharing plan has been successfully associated with the sharing data source, so as to remind the power generation company that the sharing plan has been successfully associated with the sharing demander.

[0117] Furthermore, in the multi-source data sharing method for power generation enterprises provided in this application embodiment, the child node early warning record corresponding to the negative class traversal request includes any one or more of the following: early warning record regarding the lack of a specified power generation emergency plan, early warning record regarding the failure to make maintenance and safety reminders, early warning record regarding the poor cleanliness of the power plant, early warning record regarding poor positioning accuracy, early warning record regarding poor image clarity, and early warning record regarding poor radar signal transmission.

[0118] The child node warning records corresponding to the neutral class traversal request include any one or more of the following: warning records regarding accurate matching of emergency plans, warning records regarding accurate positioning, warning records regarding good power plant environment, warning records regarding radar signal transmission standards, and warning records regarding stable image clarity.

[0119] The child node warning records corresponding to the forward traversal request include any one or more of the following: warning records regarding complete emergency plans, warning records regarding proactive updates to shared status, warning records regarding maintenance security reminders, warning records regarding maintenance log standards, and warning records regarding compliance with maintenance characteristics.

[0120] Furthermore, the multi-source data sharing method for power generation enterprises provided in this application embodiment also includes:

[0121] Based on the time-series clustering processing of power generation enterprises, the sharing end period and sharing start period are determined; based on the sharing release processing initiated by the power generation enterprises, a sharing release request is transmitted to the sharing demand side, so that the sharing demand side allocates the shared data source obtained according to the sharing release request to the target service provider and begins to monitor the shared data source.

[0122] Both the sharing initiator and the service provider have applications installed for the healthy power plant service. When the sharing initiator records the sharing initiation page of the power plant service, it determines the sharing end period and sharing start period based on the power generation enterprise's time-series clustering processing, such as location selection processing. Based on the power generation enterprise's sharing release processing for the aforementioned sharing end period and sharing start period, the sharing initiator transmits a sharing release request carrying the sharing end period and sharing start period to the sharing demander. After receiving the sharing release request, the sharing demander obtains the shared data source based on the sharing end period and sharing start period. After the service provider accepts the order for the shared data source, it allocates the shared data source to the service provider, thereby enabling the healthy sharing of the data source until the power generation enterprise obtains the sharing plan for the shared data source.

[0123] Based on the same inventive concept, this application also provides a data upload system corresponding to the multi-source data sharing method for power generation enterprises. Since the principle of the system in this application is similar to the multi-source data sharing method for power generation enterprises described above in this application, the implementation of the system can refer to the implementation of the method, and the repeated parts will not be described again.

[0124] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or omitted. Furthermore, the recorded or discussed mutual couplings, direct couplings, or communication connections may be based on some interfaces; indirect couplings or communication connections between apparatuses or units may be electrical, mechanical, or other forms.

[0125] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0126] The specific embodiments of the invention have been described in detail above, but they are only examples, and this application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this application. Therefore, all equivalent changes, modifications, and improvements made without departing from the spirit and principles of this application should be covered within the scope of this application.

Claims

1. A method for multi-source data sharing in power generation enterprises, characterized in that, The multi-source data sharing method for power generation enterprises, acting on the sharing initiator, includes: When the health risk of the shared data source reaches a critical risk, a traversal request for the health log of the shared data source associated with the real-time status of the power plant of the shared data source is recorded on the shared transmission buffer of the shared initiator. The health risks of the shared data source are selected from one or more of the following: data source has been obtained, the location of the power generation behavior is being recorded, the location of the power generation behavior has been reached, the power generation behavior is waiting to be recorded, the power generation behavior has been recorded, the end period of operation, the end period of reaching the end period, the power generation cost is being calculated, the power generation cost calculation is completed, the data source is waiting to be shared, the power generation behavior initiates a data source sharing request, and the data source sharing is completed. The real-time status of the power plant from the shared data source includes any one or more of the following: power generation attack signal data, power generation network traffic data, three-phase voltage and current data, and meteorological data; The traversal request is determined based on the real-time status of the power plant of the shared data source. It represents the content that the power generation company may share with the shared data source and is used to guide the power generation company to share with the shared data source. If the real-time status of the power plant of the shared data source is different, the traversal request corresponding to the shared data source will also be different. Based on the temporal clustering processing of the power generation enterprise for the traversal request, a sharing plan for the health log is obtained; The sharing plan is communicated to the sharing demand side.

2. The multi-source data sharing method for power generation enterprises as described in claim 1, characterized in that, Determine whether the health risk of the shared data source has reached a critical level using the following methods: If the real-time power generation network traffic of the shared initiator is the same as the current power generation network traffic of the shared data source, then the health risk of the shared data source is determined to have reached the critical risk.

3. The multi-source data sharing method for power generation enterprises as described in claim 1, characterized in that, Determine whether the health risk of the shared data source has reached a critical level using the following methods: Based on the initial power generation network traffic and current power generation network traffic of the shared data source, find other data sources similar to the shared data source; When the health duration of the shared data source and the health duration of other data sources meet preset conditions, the health risk of the shared data source is determined to have reached a critical risk.

4. The multi-source data sharing method for power generation enterprises as described in claim 1, characterized in that, Determine whether the health risk of the shared data source has reached a critical level using the following methods: After obtaining an abnormal status warning record regarding the shared data source, it is determined that the health risk of the shared data source has reached the critical risk. or, If the power generation company obtains the time-series clustering processing of the shared controls for the completed shared data source, then it is determined that the health risk of the shared data source has reached the critical risk. or, If the power generation company obtains the time-series clustering processing of shared data sources that are not shared in other data source pages, then it is determined that the health risk of the shared data source has reached the critical risk.

5. The multi-source data sharing method for power generation enterprises as described in claim 1, characterized in that, The traversal request includes multiple root node warning records, each root node warning record corresponds to multiple child node warning records, and each root node warning record and its corresponding child node warning record are identified as belonging to the same category. The traversal request for recording the health log of the shared data source associated with the real-time status of the power plant on the shared transmission buffer at the shared initiator includes: Record the multiple root node warning records in the shared transmission buffer; Based on the time-series clustering processing of the root node early warning records by the power generation enterprise, the records corresponding to the root node early warning records in the time-series clustering processing are identified as child node early warning records of the same category; wherein, the root node early warning records are data with brief descriptions, and the child node early warning records are data with detailed descriptions.

6. The multi-source data sharing method for power generation enterprises as described in claim 5, characterized in that, The step of obtaining a sharing plan for the health log based on the time-series clustering processing of the power generation enterprise in response to the traversal request includes: Based on the time-series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the root node early warning record and / or child node early warning record corresponding to the time-series clustering process. The traversal request includes root node warning records corresponding to different sharing types, each root node warning record having a corresponding summary description data. The traversal request for recording the health log of the shared data source, which is associated with the real-time status of the power plant of the shared data source, on the shared transmission buffer at the sharing initiator includes: The root node warning records corresponding to different sharing types are recorded in the shared transmission buffer; Based on the time-series clustering processing of the root node early warning records by the power generation enterprise, the summary description data of the root node early warning records corresponding to the time-series clustering processing is highlighted.

7. The multi-source data sharing method for power generation enterprises as described in claim 6, characterized in that, The step of obtaining a sharing plan for the health log based on the time-series clustering processing of the power generation enterprise in response to the traversal request includes: The sharing plan is obtained based on the time-series clustering process initiated by the power generation company and the summary description data corresponding to the root node early warning record of the time-series clustering process. The traversal request includes any one or more of the following: negative class traversal request, neutral class traversal request, and positive class traversal request; The traversal request is determined based on the real-time status of the power plant from the shared data source; wherein, the real-time status of the power plant from the shared data source includes any one or more of the following: power generation attack signal data, power generation network traffic data, three-phase voltage and current data, and meteorological data.

8. The multi-source data sharing method for power generation enterprises as described in claim 7, characterized in that, The multi-source data sharing method for power generation enterprises also includes: Obtain the early warning record returned by the sharing demand side indicating that the sharing plan and the sharing data source are successfully associated; The child node warning records corresponding to the negative class traversal request include any one or more of the following: warning records for the lack of a specified power generation emergency plan, warning records for the failure to make maintenance safety reminders, warning records for poor cleanliness of the power plant, warning records for poor positioning accuracy, warning records for poor image clarity, and warning records for poor radar signal transmission. The child node warning records corresponding to the neutral class traversal request include any one or more of the following: warning records for accurate matching of emergency plans, warning records for accurate positioning, warning records for good power plant environment, warning records for radar signal transmission standards, and warning records for stable image clarity. The child node warning records corresponding to the forward traversal request include any one or more of the following: warning records regarding complete emergency plans, warning records regarding proactive updates to shared status, warning records regarding maintenance security reminders, warning records regarding maintenance log standards, and warning records regarding compliance with maintenance characteristics.

9. The multi-source data sharing method for power generation enterprises as described in claim 1, characterized in that, The multi-source data sharing method for power generation enterprises also includes: Based on the temporal clustering of power generation enterprises, the shared endpoint period and the shared start period are determined; Based on the sharing release process initiated by the power generation company, a sharing release request is transmitted to the sharing demand side, so that the sharing demand side will allocate the shared data source obtained according to the sharing release request to the target service provider and start monitoring the shared data source.

10. A multi-source data sharing system for power generation enterprises, characterized in that, include: One or more processors; A memory having stored one or more programs that, when executed by one or more processors, cause the one or more processors to implement a multi-source data sharing method for a power generation enterprise according to any one of claims 1 to 9.

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