Multi-source data sharing method and system for power generation enterprises

Abstract

The invention 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, and the method is used for a sharing initiating end. Recording a traversal request related to the health log of the shared data source and associated with the real-time state of the power station of the shared data source on a shared transmission cache of the shared initiator; obtaining a sharing plan for the health log based on time sequence clustering processing of a power generation enterprise for the traversal request; and transmitting the sharing plan to a sharing demand end. According to the invention, an active supervision mechanism is adopted for the health risk of the shared data source, and particularly, timely early warning sharing can be carried out on the data source without risk of critical risk during sharing, so that the existence risk of the shared data source is reduced to the greatest extent.

Description

Technical Field

[0001] The present application relates to the field of big data analysis technology, and in particular to a multi-source data sharing method and system for power generation enterprises. Background Art

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

[0003] However, the existing technology lacks an active supervision mechanism for the health risks of shared data sources. In particular, when sharing, it is impossible to provide timely warnings and share data sources with critical risks that have not yet occurred, resulting in risks in the shared data sources. There is an urgent need for a solution that facilitates the effective sharing of data sources. Summary of the Invention

[0004] To achieve the above objectives, this application provides the following technical solutions: According to a first aspect of the present invention, the present invention claims protection for a multi-source data sharing method for a power generation enterprise, acting on a sharing initiator, the multi-source data sharing method for a power generation enterprise comprising: When it is obtained that the health risk of the shared data source reaches a critical risk, recording 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 on the shared transmission buffer of the sharing initiator; Based on the time series clustering processing of the traversal request by the power generation enterprise, a sharing plan for the health log is obtained; The sharing plan is delivered to the sharing demand side.

[0005] Furthermore, whether the health risk of the shared data source reaches a critical risk is obtained in the following manner: If the real-time power generation network flow of the sharing initiator is the same as the current power generation network flow of the shared data source, it is determined that the health risk of the shared data source reaches the critical risk.

[0006] Furthermore, whether the health risk of the shared data source reaches a critical risk is obtained in the following manner: Searching for other data sources similar to the shared data source based on the initial power generation network flow and the current power generation network flow of the shared data source; When the healthy duration of the shared data source and the healthy duration of the other data sources meet preset conditions, it is determined that the health risk of the shared data source reaches a critical risk.

[0007] Furthermore, whether the health risk of the shared data source reaches a critical risk is obtained in the following manner: After obtaining an abnormal state warning record about the shared data source, determining that the health risk of the shared data source reaches the critical risk; or, If the time series clustering processing of the shared controls of the completed shared data source by the power generation enterprise is obtained, it is determined that the health risk of the shared data source reaches the critical risk; or, If the time series clustering processing of the power generation enterprise for the shared data source that is not shared in other data source pages is obtained, it is determined that the health risk of the shared data source reaches the critical risk.

[0008] Furthermore, the traversal request includes multiple root node warning records, each root node warning record corresponds to multiple child node warning records, each root node warning record and the corresponding child node warning record are identified as the same category, and the traversal request for the health log of the shared data source associated with the real-time status of the power station of the shared data source recorded on the shared transmission cache of the shared initiator includes: Recording the plurality of root node warning records in the shared transmission buffer; Based on the time series clustering processing of the root node warning records by the power generation enterprise, the root node warning records corresponding to the time series clustering processing are identified as sub-node warning records of the same category; wherein, the root node warning record is data with a brief description, and the sub-node warning record is data with a specific description.

[0009] Furthermore, the time series clustering processing based on the traversal request by the power generation enterprise to obtain a sharing plan for the health log includes: Based on the time series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the root node warning record and / or the child node 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 corresponds to summary description data, and the 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 recorded in the shared transmission cache of the sharing initiator includes: Recording root node warning records corresponding to different sharing types in the shared transmission cache; Based on the time series clustering processing of the root node warning records by the power generation enterprise, summary description data of the root node warning records corresponding to the time series clustering processing are prominently recorded.

[0010] Furthermore, the time series clustering processing based on the traversal request by the power generation enterprise to obtain a sharing plan for the health log includes: Based on the time series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the summary description data corresponding to the root node warning record corresponding to the time series clustering process; The traversal request includes any one or more of the following: a negative traversal request, a neutral traversal request, and a positive traversal request; The traversal request is determined based on the real-time status of the power station of the shared data source; wherein the real-time status of the power station of the shared data source includes any one or more of the following: power generation attack signal data, power generation network flow data, three voltage and current data, and meteorological data.

[0011] Furthermore, the multi-source data sharing method for power generation enterprises further includes: Obtaining an early warning record returned by the sharing demand side indicating that the sharing plan is successfully associated with the shared data source; The child node warning records corresponding to the negative traversal request include any one or more of the following: warning records regarding the lack of a designated power generation emergency plan, warning records regarding failure to make maintenance safety reminders, warning records regarding poor cleanliness of the power station, warning records regarding poor positioning accuracy, warning records regarding poor image clarity, and warning records regarding poor radar signal transmission; The child node warning records corresponding to the neutral traversal request include any one or more of the following: warning records regarding accurate matching of emergency plans, warning records regarding accurate positioning accuracy, warning records regarding a good power station environment, warning records regarding radar signal transmission specifications, and warning records regarding stable image clarity; The sub-node warning records corresponding to the forward class traversal request include any one or more of the following: warning records about the completeness of the emergency plan, warning records about the active update of the shared status, warning records about maintenance safety reminders, warning records about maintenance log standards, and warning records about compliance with maintenance characteristics.

[0012] Furthermore, the multi-source data sharing method for power generation enterprises further includes: Based on the time series clustering processing of power generation enterprises, the shared end period and shared start period are determined; Based on the shared publishing process initiated by the power generation enterprise, a shared publishing request is transmitted to the shared demand end, so that the shared demand end allocates the shared data source obtained according to the shared publishing request to the target service provider and starts monitoring the shared data source.

[0013] 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: one or more processors; A memory having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the multi-source data sharing method for power generation enterprises.

[0014] The present application relates to the field of big data analysis technology, and in particular to a multi-source data sharing method and system for power generation enterprises, which acts on a sharing initiator. The multi-source data sharing method for power generation enterprises includes: when the health risk of a 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 station of the shared data source is recorded on the shared transmission cache of the sharing initiator; based on the time series clustering processing of the traversal request by the power generation enterprise, a sharing plan for the health log is obtained; and the sharing plan is delivered to the sharing demand end. The present invention adopts an active supervision mechanism for the health risk of the shared data source, and in particular, it can timely warn and share the data source of critical risk that has not occurred, so as to minimize the risk of the shared data source. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flowchart of a multi-source data sharing method for power generation enterprises claimed in an embodiment of the present application; Figure 2 A second flow chart of a multi-source data sharing method for power generation enterprises claimed in an embodiment of the present application; Figure 3 This is a third flow chart of a multi-source data sharing method for power generation enterprises claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] The terms "first," "second," and "third" in this application are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features identified. Therefore, features identified as "first," "second," or "third" may explicitly or implicitly include at least one of these features. In the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are intended only to illustrate the relative power generation network flow relationships, motion states, etc. between components in a specific configuration (as shown in the accompanying drawings). If the specific configuration changes, the directional indications will also change accordingly. Furthermore, the terms "including," "comprising," and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements and may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to such process, method, product, or apparatus.

[0018] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearance of this phrase in various power generation network flows in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0019] See also Figure 1 As shown, Figure 1 A flowchart of a multi-source data sharing method for power generation enterprises provided in an embodiment of the present application, acting on a sharing initiator, the multi-source data sharing method for power generation enterprises comprising: S101. When it is obtained that the health risk of a shared data source reaches a critical risk, a traversal request for a health log of the shared data source associated with the real-time status of the power plant of the shared data source is recorded in the shared transmission cache of the sharing initiator.

[0020] S102: Based on the time series clustering processing of the traversal request by the power generation enterprise, a sharing plan for the health log is obtained.

[0021] S103: Deliver the sharing plan to the sharing demand side.

[0022] In step 101, the shared data source is a power station data source. The power station data source can generally be obtained and allocated in the following manner: the power generation enterprise transmits a sharing initiation carrying shared data to the sharing demand end based on the sharing initiation end, and the sharing demand end obtains the shared data source based on the sharing initiation end and the shared data, and allocates the service provider end to the shared data source, thereby obtaining a healthy shared data source. Among them, the sharing initiator end and the service provider end are both configured with the application of the power station platform, and the above-mentioned sharing demand end is the background sharing demand end of the power station platform. It should be noted that the shared data source here is a shared data source corresponding to the service provider end. Based on the shared data source, the power generation enterprise can obtain the shared service provided by the service provider end and share the degree to which the shared service meets the needs.

[0023] The sharing initiator can monitor the health risks of the shared data source. Here, the health risks of the shared data source may include: the data source has been obtained, the recording location of the power generation behavior, the recording location of the power generation behavior, waiting for the power generation behavior to be recorded, the power generation behavior has been recorded, the operation end cycle, the arrival end cycle, the power generation cost calculation, the power generation cost calculation is completed, the data source is to be shared, the power generation behavior initiates the data source sharing request, and the data source sharing is completed. The critical risk of the shared data source is one or more of the above health risks. For example, "arrival end cycle" and "power generation cost calculation completed" are set as the critical risks of the shared data source. When the sharing initiator obtains the shared data source health risk as "arrival end cycle", it is determined that the shared data source is at critical risk in real time. When the sharing initiator obtains the shared data source health risk as "power generation cost calculation completed" and the real-time shared data source is the data source to be shared, it is determined that the shared data source is at critical risk in real time.

[0024] The real-time status of the power station of the shared data source is associated with the traversal request of the shared data source, and the real-time status of the power station of the shared data source includes any one or more of the following: power generation attack signal data, power generation network flow data, three voltage and current data, and meteorological data.

[0025] Among them, the traversal request is determined based on the real-time status of the power station of the shared data source. It is the sharing content that the power generation enterprise may make to the shared data source, and is used to guide the power generation enterprise to share the shared data source. If the real-time status of the power station of the shared data source is different, the traversal request corresponding to the shared data source is also different. The traversal request of the shared data source is associated with the real-time status of the power station of the shared data source, and can provide the power generation enterprise with the early warning record that best fits its true sharing intention.

[0026] When the sharing initiator obtains that the health risk of the shared data source reaches a critical risk, the power generation enterprise can share the shared data source. In order to improve the pertinence and accuracy of the power generation enterprise's sharing, the traversal request of the health log of the shared data source is recorded in the shared transmission cache of the sharing initiator to guide the power generation enterprise to share the shared data source.

[0027] In step 102, the sharing initiator obtains the power generation enterprise's sharing plan for the health log of the shared data source based on the power generation enterprise's time series clustering processing for the traversal request, the recorded traversal request, and the processing object of the time series clustering processing.

[0028] As an optional implementation method, the traversal request is a question about service problems that may arise in the health log, for example, what is the positioning accuracy of the power generation end. The sharing initiator obtains the text data input by the power generation enterprise based on the text input processing of the power generation enterprise, and obtains the sharing plan made by the power generation enterprise for the health log based on the traversal request and the text data corresponding to the traversal request. In this way, since the traversal request is associated with the real-time status of the power station of the shared data source, the power generation enterprise, under the guidance of the traversal request, gives feedback data on the traversal request, that is, the text data input by the power generation enterprise. The sharing plan obtained based on the traversal request and the text data input by the power generation enterprise is also associated with the real-time status of the power station of the shared data source, and the obtained sharing plan is more accurate.

[0029] As another optional implementation method, the traversal request is a candidate sharing plan that the power generation enterprise may make. Based on the real-time status of the power station of the shared data source, multiple candidate sharing plans that the power generation enterprise may make for the shared data source are determined, and multiple candidate sharing plans are recorded in the shared transmission cache of the sharing initiator for the power generation enterprise to select. Based on the power generation enterprise's selection processing of multiple candidate sharing plans, the sharing initiator processes the power generation enterprise's selection processing of multiple candidate sharing plans, and obtains the sharing plan made by the power generation enterprise for the health log based on the candidate sharing plan corresponding to the selection processing. Here, the sharing plan is composed of the candidate sharing plans selected by the power generation enterprise, that is, the traversal request selected by the power generation enterprise. Since the traversal request is associated with the real-time status of the power station of the shared data source, the sharing plan composed of the traversal request is also associated with the real-time status of the power station of the shared data source. Therefore, the obtained sharing plan is more accurate.

[0030] A method of obtaining a sharing plan based on a traversal request and text data input by the power generation enterprise. Under the guidance of the traversal request associated with the real-time status of the power station of the shared data source, the power generation enterprise can input any data it wants to share the data source. The shared data source has high flexibility, but the power generation enterprise needs to manually input the sharing plan, and the power generation enterprise has high processing complexity. A method of obtaining a sharing plan based on the traversal request selected by the power generation enterprise does not require the power generation enterprise to manually input the sharing plan. The power generation enterprise only needs to perform simple selection processing to share the shared data source. The processing complexity of the power generation enterprise is low, but it is limited by the traversal request provided by the sharing initiator, and the flexibility of the shared data source is low. In practice, in order to take into account the complexity of the power generation enterprise's processing and the flexibility of sharing, usually, the traversal request includes both questions about possible service problems in the health log and candidate sharing plans that the power generation enterprise may make.

[0031] In step 103, the sharing demand end is the background sharing demand end of the power station platform, and the sharing initiator transmits the sharing plan of the shared data source to the sharing demand end so that the sharing demand end stores and performs related processing on the sharing plan of the shared data source.

[0032] The multi-source data sharing method for power generation enterprises provided in the embodiment of the present application records a traversal request for the health log of the shared data source associated with the real-time status of the power station of the shared data source on the shared transmission cache of the sharing initiator when the shared data source reaches a critical risk. The traversal request has a high correlation with the actual health log of the shared data source, which facilitates 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 efficiently and accurately.

[0033] Furthermore, in the multi-source data sharing method for power generation enterprises provided in the embodiment of the present application, there are methods for obtaining critical risks corresponding to multiple shared data sources, which are respectively explained below.

[0034] Method 1 for obtaining critical risk: if the real-time power generation network flow of the sharing initiator is the same as the current power generation network flow of the shared data source, it is determined that the health risk of the shared data source reaches the critical risk.

[0035] In the process of healthy sharing of data sources, the power generation network traffic of the sharing initiator is obtained in real time, and the power generation network traffic of the sharing initiator is compared with the current power generation network traffic of the shared data source. If the 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 shared this time in real time, and then it is determined that the health risk of the shared data source has reached the critical risk, and a traversal request is provided to the power generation enterprise. In this way, the power generation enterprise can share the health log of the shared data source immediately after reaching the current power generation network traffic of the shared data source.

[0036] Method 2 for obtaining criticality risk: Step 1: Based on the initial power generation network flow and the current power generation network flow of the shared data source, find other data sources similar to the shared data source; Step 2: When the health duration of the shared data source and the health duration of the other data sources meet preset conditions, it is determined that the health risk of the shared data source reaches a critical risk.

[0037] Based on the starting power generation network flow and the current power generation network flow of the shared data source, multiple other data sources are searched from the starting power generation network flow of the shared data source to the current power generation network flow of the shared data source as other data sources similar to the shared data source. Based on the healthy time of each other data source from the healthy starting power generation network flow to the healthy current power generation network flow, the health time threshold corresponding to the shared data source is determined, and the healthy time of the shared data source from the healthy starting power generation network flow to the real-time power generation network flow is obtained in real time. If the healthy time of the shared data source is greater than the above-mentioned healthy time threshold, it is determined that the shared service of the power generation behavior has been completed, and then it is determined that the health risk of the shared data source has reached a critical risk, and a traversal request is provided to the power generation enterprise. In this way, determining whether the shared service has been completed based on the healthy time of the shared data source can avoid long-term performance degradation behavior at the power generation end. After the healthy time of the power generation enterprise reaches the specified healthy time threshold, the health log of the shared data source is immediately shared.

[0038] Here, the healthy time threshold is determined according to the following method: the average value of the healthy time of other data sources is used as the preset healthy time threshold, or the maximum value of the healthy time of other data sources is used as the preset healthy time threshold.

[0039] A third method for obtaining critical risk: after obtaining an abnormal state warning record about the shared data source, determining whether the health risk of the shared data source reaches the critical risk.

[0040] After the sharing permission of the shared data source is marked as abnormal, the sharing initiator will obtain the abnormal status warning record of the shared data source. At this time, it can be determined that the sharing service of the power generation behavior has been completed, and then it can be determined that the health risk of the shared data source has reached the critical risk, and a traversal request is provided to the power generation enterprise. In the process of healthy sharing of the data source, the power generation enterprise may not be able to pay attention to the data prompt status of the sharing initiator in real time. However, when the power generation enterprise modifies the sharing permission for the shared data source, the power generation enterprise needs to use the sharing initiator to modify the sharing permission for the shared data source. At this time, the power generation enterprise can obtain the traversal request recorded by the sharing initiator in time, and the power generation enterprise has a high success rate in obtaining the sharing plan.

[0041] Accordingly, the three methods of obtaining critical risks mentioned above are all sharing methods in which power generation enterprises share shared data sources in the process of healthy data sharing. If power generation enterprises do not share shared data sources in the process of healthy data sharing, follow-up assessments can also be conducted in the following two ways: Method four for obtaining critical risk: if the power generation enterprise obtains the time series clustering processing of the shared controls of the completed shared data source, it is determined that the health risk of the shared data source reaches the critical risk.

[0042] When a power generation enterprise checks a completed and unshared shared data source based on a sharing initiator, the shared transmission cache of the sharing initiator records the shared control of the shared data source. If the power generation enterprise obtains the time-series clustering processing of the shared control and determines that the health risk of the shared data source has reached a critical risk, a traversal request is provided to the power generation enterprise so that the power generation enterprise can share the completed shared data source. In this way, the power generation enterprise needs to use the sharing initiator to search for the shared data source to be shared in other data sources, and obtain the traversal request recorded by the sharing initiator based on the time-series clustering sharing control method. The processing complexity of the power generation enterprise is high. In order to reduce the processing complexity of the power generation enterprise, the following critical risk acquisition method is provided.

[0043] Method five for obtaining critical risk: if the time series clustering processing of the power generation enterprise for the shared data source that is not shared in other data source pages is obtained, it is determined that the health risk of the shared data source reaches the critical risk.

[0044] The other data source page recorded by the sharing initiator of the power generation enterprise includes multiple completed shared data sources of the power generation enterprise. If the power generation enterprise obtains the time series clustering processing of the shared data sources in the multiple completed shared data sources, and the shared data source is an unshared shared data source, it is determined that the health risk of the shared data source has reached a critical risk, and the real-time other data source page is updated to the shared page of the shared data source. The shared page includes a traversal request provided for the power generation enterprise so that the power generation enterprise can share the completed shared data source.

[0045] In this way, when the power generation enterprise uses the sharing initiator to select and view the shared data source to be shared, the sharing initiator directly records the sharing page of the shared data source, and the power generation enterprise does not need to cluster the shared controls in time series. This can reduce the processing complexity of the power generation enterprise and improve the efficiency of obtaining the sharing plan.

[0046] Comparing the five aforementioned methods for acquiring critical risk, acquiring critical risk based on the real-time power generation network traffic at the sharing initiator enables traversal requests to be provided to power generation enterprises immediately upon reaching the current power generation network traffic. Acquiring critical risk based on the health duration of a shared data source prevents prolonged performance degradation at the power generation end. Once the health duration of a power generation enterprise reaches a specified health duration threshold, the health log of the shared data source can be shared, enabling power generation enterprises to promptly detect performance degradation. Acquiring critical risk based on the abnormal status warning records of a shared data source enables immediate recording of traversal requests after the sharing permissions of the shared data source are modified, ensuring that power generation enterprises receive traversal requests promptly and preventing them from overlooking the sharing of the shared data source. Acquiring critical risk based on the shared controls of a shared data source enables tracking of the service quality of the shared data source. Acquiring critical risk based on the time-series clustering of the power generation enterprise's access to other data source pages eliminates the need for time-series clustering of shared controls, simplifying processing complexity for power generation enterprises and improving sharing efficiency.

[0047] For further information, see Figure 2 As shown, Figure 2 A flowchart of another multi-source data sharing method for power generation enterprises provided in an embodiment of the present application, wherein the traversal request includes multiple root node warning records, each root node warning record corresponds to multiple child node warning records, each root node warning record and the corresponding child node warning record are identified as the same category, and the 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 cache of the sharing initiator, including: S201: Record the multiple root node warning records in the shared transmission cache.

[0048] In this step, traversal requests include multiple categories. Different categories of traversal requests represent different trends, for example, meeting the requirements and not meeting the requirements. Under the same category, traversal requests correspond to two levels of warning records, namely root node warning records and sub-node warning records. The root node warning record is a warning record that characterizes the overall trend. It is a brief warning record, for example, meeting the requirements. The sub-node warning record is a warning record that reflects multiple aspects of the trend of the root node warning record on the basis of the root node warning record. It is a specific warning record, for example, specific manifestations of power generation enterprises meeting the requirements, such as friendly positioning accuracy and clean and tidy power station environment.

[0049] According to the sharing plan made by the power generation enterprise based on the root node early warning record, the power generation enterprise's overall sharing of the shared data source can be determined. According to the sharing plan made by the power generation enterprise based on the sub-node early warning record, the power generation enterprise's sharing of specific service items of the shared data source can be determined. For example, based on the root node early warning record, it can be determined that the power generation enterprise's service representation of the shared data source meets the demand. Based on the sub-node early warning record, it can be determined that the power generation enterprise's specific aspects of the shared data source meet the demand.

[0050] S202. Based on the time series clustering processing of the root node warning record by the power generation enterprise, the root node warning record corresponding to the time series clustering processing is identified as a sub-node warning record of the same category; wherein, the root node warning record is a brief description of the data, and the sub-node warning record is a specific description of the data.

[0051] In this step, the sharing initiator determines the trend represented by the root node warning record corresponding to the time series clustering processing of multiple root node warning records by the power generation enterprise 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 sub-node warning record is recorded in the shared transmission cache, wherein the sub-node warning record and the root node warning record of the time series clustering of the power generation enterprise are identified as the same category.

[0052] It should be noted that the root node warning records and sub-node warning records are both associated with the real-time status of the power station of the shared data source. The root node warning records and sub-node warning records are highly consistent with the content that the power generation enterprise wants to share.

[0053] Based on the time series clustering processing of the power generation enterprise's root node warning record "meeting demand", it is determined that the power generation enterprise's overall sharing of the shared data source "meets demand", and multiple sub-node warning records corresponding to "meeting demand" are recorded in the second recording area 3B, namely "good power station environment" and "excellent image clarity", so that the power generation enterprise can further share specific service items of the shared data source based on multiple sub-node warning records.

[0054] Furthermore, in a state where the traversal request includes the root node warning record and the child node warning record, the time series clustering processing based on the power generation enterprise for the traversal request obtains a sharing plan for the health log, including: Based on the time series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the root node warning record and / or the child node warning record corresponding to the time series clustering process.

[0055] Based on the time series clustering processing of multiple sub-node warning records by the power generation enterprise, the sub-node warning records corresponding to the time series clustering processing are used as the power generation enterprise's sharing of specific service items of the shared data source. After the power generation enterprise determines to submit the sharing, a sharing plan for the shared data source is obtained based on the root node warning record of the power generation enterprise's time series clustering and the sub-node warning records of the power generation enterprise's time series clustering. The sharing plan includes both the power generation enterprise's sharing of the shared data source as a whole and the sharing of specific service items of the shared data source by the power generation enterprise. Alternatively, because the root node warning record and the sub-node warning record are identified as the same category and represent the same trend direction, the power generation enterprise's sharing of the shared data source as a whole can be determined based on the sub-node warning records of the power generation enterprise's time series clustering. Therefore, the sharing plan for 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. In addition, after the power generation enterprise time series clusters the root node warning record, it can also directly submit the sharing without performing time series clustering processing on the multiple sub-node warning records. In this state, the sharing plan for the shared data source is obtained based on the root node warning record of the power generation enterprise's time series clustering.

[0056] For further information, see Figure 3 As shown, Figure 3 A flowchart of another multi-source data sharing method for power generation enterprises provided in an embodiment of the present application, wherein the traversal request includes root node warning records corresponding to different sharing types, each root node warning record corresponding to summary description data, and the 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 in the shared transmission cache of the sharing initiator, including: S301: Record root node warning records corresponding to different sharing types in the shared transmission cache.

[0057] In this step, traversal requests include multiple categories, and different categories of traversal requests represent different trends, for example, 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 characterizes the overall trend, and is a general warning record. For example, meeting the requirements. The summary description data corresponding to the root node warning record is the specific meaning of the root node warning record, for example, 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 enterprise can clearly know the true meaning represented by the root node warning record.

[0058] S302: Based on the time series clustering processing of the root node warning record by the power generation enterprise, highlight and record summary description data of the root node warning record corresponding to the time series clustering processing.

[0059] In this step, the sharing initiator determines the trend represented by the root node warning record corresponding to the time series clustering processing as the overall sharing of the shared data source by the power generation enterprise based on the time series clustering processing of multiple root node warning records by the power generation enterprise. In order to determine whether the power generation enterprise has selected the wrong root node warning record, the summary description data corresponding to the root node warning record of the time series clustering of the power generation enterprise is highlighted so that the power generation enterprise can clearly know the true meaning of the selected root node warning record. Among them, the summary description data and the root node warning record of the time series clustering of the power generation enterprise are identified as the same category.

[0060] It should be noted that if the root node warning record is a facial expression, after the power generation enterprise performs time series clustering on the root node warning record, the facial expression of the power generation enterprise's time series clustering is updated from the initial color (black and white) to the target color (color), or, after dynamically recording the expression for a preset time length, it is frozen into a colored expression, so that the power generation enterprise can know the true meaning of the root node warning record of the time series clustering based on the changes in the expression.

[0061] Based on the time series clustering processing of the root node early warning record "meets demand" by the power generation enterprise, the summary description data corresponding to "meets demand" is recorded in the second record area 5B, "The service is great, I want to praise the power generation end."

[0062] Accordingly, a traversal request can include multiple root node warning records, as well as corresponding child node warning records and summary descriptive data for each root node warning record. The first record area contains three categories of root node warning records: "Meets the Requirement," "General," and "Does Not Meet the Requirement" expressions and brief text descriptions. Based on the power generation company's time-series clustering of the root node warning record "Meets the Requirement," the summary descriptive data corresponding to "Meets the Requirement" is recorded in the second record area. Simultaneously, the multiple child node warning records corresponding to "Meets the Requirement" are recorded in the third record area 5C.

[0063] Furthermore, in a state where the traversal request includes a root node warning record and summary description data corresponding to the root node warning record, the time series clustering processing based on the power generation enterprise for the traversal request to obtain a sharing plan for the health log includes: Based on the time series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the summary description data corresponding to the root node warning record corresponding to the time series clustering process.

[0064] Based on the time series clustering processing of the summary descriptive data corresponding to the root node warning record of the time series clustering by the power generation enterprise, it is determined that the power generation enterprise has learned the true meaning of the root node warning record of the time series clustering. According to the root node warning record and the summary descriptive data corresponding to the root node warning record, the sharing plan of the health log of the shared data source is obtained. The sharing plan here is the overall sharing of the shared data source by the power generation enterprise.

[0065] Furthermore, the traversal request includes any one or more of the following: a negative traversal request, a neutral traversal request, and a positive traversal request.

[0066] When sharing shared data sources, the trend of power generation enterprises is usually not in line with demand, general, and in line with demand. Correspondingly, the sentiment tendency that does not meet the demand corresponds to the negative class traversal request, the general sentiment tendency corresponds to the neutral class traversal request, and the sentiment tendency that meets the demand corresponds to the positive class traversal request.

[0067] As an optional implementation, there are two categories of traversal requests, namely negative traversal requests and positive traversal requests. As another optional implementation, there are three categories of traversal requests, namely negative traversal requests, positive traversal requests, and positive traversal requests.

[0068] Optionally, traversal requests can be classified not only from the perspective of whether the power generation enterprise's service for 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 station environment traversal requests. The power generation enterprise can choose to share different service items. For example, the power generation enterprise only shares the positioning accuracy of the shared data source.

[0069] Furthermore, in the multi-source data sharing method for power generation enterprises provided in an embodiment of the present application, the traversal request is determined based on the real-time status of the power station of the shared data source; wherein the real-time status of the power station of the shared data source includes any one or more of the following: power generation attack signal data, power generation network flow data, three voltage and current data, and meteorological data.

[0070] In an embodiment of the present application, the real-time status of the power station of the shared data source is different, and the traversal request corresponding to the shared data source is also different. The shared demand end determines the traversal request corresponding to the shared data source based on the real-time status of the power station of the shared data source.

[0071] Specifically, after the shared demand side obtains the traversal request acquisition request for the shared data source transmitted by the shared initiator, it determines the service scenario corresponding to the shared data source based on the power generation enterprise role of the power generation enterprise holding the shared initiator and the meteorological data corresponding to the shared data source; based on the power generation network traffic data (such as the city) where the power generation enterprise 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 account registration time, number of shared services and account level of the power generation enterprise, it obtains the exclusive traversal request associated with the above identity data; and determines the basic traversal request and the exclusive traversal request as the traversal request.

[0072] Correspondingly, the roles of power generation enterprises include power generation behavior and power generation end. Different power generation enterprises have different perspectives on sharing shared data sources. In practice, the sharing of power generation behavior with power generation end and power station platform is different from the sharing of power generation behavior and power station platform by power generation end. Since different meteorological data correspond to different service standards, power generation enterprises have different service requirements for shared services under different meteorological data. Therefore, under different meteorological data, the sharing of shared data sources by power generation enterprises is different.

[0073] In practice, the power generation network flow data can be the city where the power generation enterprise is located. Different cities have different climatic conditions and different attributes of power generation enterprises. The service requirements in the sharing process will also be different. It is necessary to distinguish the cities where the power generation enterprises are located. According to the power generation network flow data of the power generation enterprise and the service scenario of the shared data source, the basic traversal request of the shared data source is determined. Here, in the same service scenario, when the power generation enterprise is located in different power generation network flows, the basic traversal request obtained is different. The basic traversal request is associated with the power generation network flow data of the power generation enterprise.

[0074] Based on the account registration time, number of shared services, and account level of the power generation enterprise, it can be determined whether the power generation enterprise is a new power generation enterprise, an old power generation enterprise, a low-level account, a medium-level account, a high-level account, or other power generation enterprises with special identities. Different power generation attack signals will have different requirements for shared services. Here, based on the account registration time, number of shared services, and account level of the power generation enterprise, the special identity of the power generation enterprise is determined, and then an exclusive traversal request associated with the special identity of the power generation enterprise is obtained.

[0075] Based on this, the traversal request is associated with the power generation enterprise's power generation network traffic data, identity data, and meteorological data of the shared data source. The traversal request is more in line with the real sharing needs of the power generation enterprise.

[0076] In addition, the traversal request is also associated with three items of voltage and current data, which are the three items of voltage and current mode of the shared initiator held by the power generation enterprise, including any one of the following three items of voltage and current mode: simplified Chinese, traditional Chinese, English, Japanese, Korean and other three items of voltage and current. Obtaining the traversal request associated with the three items of voltage and current mode of the shared initiator facilitates the shared initiator to obtain a sharing plan based on the traversal request.

[0077] The shared demand side has multiple pre-stored traversal requests, which include multiple categories. Based on the power generation enterprise's power generation network flow data and the service scenario of the shared data source, the shared demand side searches for traversal requests associated with the power generation network flow data and the service scenario from the pre-stored traversal requests as the basic traversal request. Since the pre-stored traversal requests include multiple categories, the found basic traversal requests also include multiple categories. Correspondingly, based on the power generation enterprise's special identity data, the shared demand side searches for traversal requests associated with the special identity data from the pre-stored traversal requests as the exclusive traversal request. Since the pre-stored traversal requests include multiple categories, the found exclusive traversal requests also include multiple categories.

[0078] By adopting this method of obtaining traversal requests, based on the power generation network traffic data of the power generation enterprise and the service scenario corresponding to the shared data source, the basic traversal request determined is at the city level; based on the special identity data of the power generation enterprise, the exclusive traversal request obtained is at the power generation enterprise level. The traversal request includes both the basic traversal request at the city level and the exclusive traversal request at the power generation enterprise level, which can provide the power generation enterprise with traversal requests that are both comprehensive and in line with the actual needs of the power generation enterprise, thereby improving the efficiency and accuracy of the power generation enterprise in sharing the shared data source.

[0079] Furthermore, in the multi-source data sharing method for power generation enterprises provided in the embodiment of the present application, the sharing initiator can also obtain an early warning record of the successful association between the sharing plan returned by the sharing demander and the shared data source.

[0080] The sharing initiator transmits the sharing plan to the sharing demander. After obtaining the sharing plan of the shared data source, the sharing demander associates the sharing plan with the data source data obtained by the shared data source. After the association is successful, the sharing demander transmits the early warning record of the successful association of the sharing plan and the shared data source to the sharing initiator to remind the power generation enterprise that the sharing plan has been successfully associated in the sharing demander.

[0081] Furthermore, in the multi-source data sharing method for power generation enterprises provided in an embodiment of the present application, the sub-node warning records corresponding to the negative class traversal request include any one or more of the following: warning records about the lack of a designated power generation emergency plan, warning records about the failure to make maintenance safety reminders, warning records about poor cleanliness of the power station, warning records about poor positioning accuracy, warning records about poor image clarity, and warning records about poor radar signal transmission.

[0082] The sub-node warning records corresponding to the neutral class traversal request include any one or more of the following: warning records about accurate matching of emergency plans, warning records about accurate positioning accuracy, warning records about good power station environment, warning records about radar signal transmission specifications, and warning records about stable image clarity.

[0083] The sub-node warning records corresponding to the forward class traversal request include any one or more of the following: warning records about the completeness of the emergency plan, warning records about the active update of the shared status, warning records about maintenance safety reminders, warning records about maintenance log standards, and warning records about compliance with maintenance characteristics.

[0084] Furthermore, the multi-source data sharing method for power generation enterprises provided in the embodiment of the present application further includes: Based on the time series clustering processing of the power generation enterprise, the sharing end period and the sharing start period are determined; based on the sharing release processing initiated by the power generation enterprise, the sharing release request is transmitted to the sharing demand end, so that the sharing demand end 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.

[0085] Both the sharing initiator and the service provider are installed with applications for healthy power station services. When the sharing initiator records the sharing initiation page of the power station service, the sharing end period and sharing start period of the sharing service are determined based on the time series clustering processing of the power generation enterprise, such as the location selection processing, and based on the sharing release processing of the power generation enterprise for the above-mentioned 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, and after the service provider accepts the order for the shared data source, the shared data source is allocated to the service provider, and then the healthy shared data source is obtained until the power generation enterprise obtains the sharing plan of the shared data source.

[0086] Based on the same inventive concept, the embodiment of the present application also provides a data upload system corresponding to the multi-source data sharing method for power generation enterprises. Since the principle of solving the problem by the system in the embodiment of the present application is similar to the multi-source data sharing method for power generation enterprises in the embodiment of the present application, the implementation of the system can refer to the implementation of the method, and the repeated parts will not be repeated.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or unhealthy. Another point is that the mutual coupling or direct coupling or communication connection recorded or discussed can be based on some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0088] In addition, the functional units in the various embodiments of the present 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 above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the description and drawings of this application, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

[0089] The above detailed description of the specific embodiments of the invention is intended only as an example, and the present application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions of the invention are also within the scope of the present application. Therefore, equivalent changes, modifications, and improvements made without departing from the spirit and scope of the present application should be included within the scope of the present application.

Claims

1. A multi-source data sharing method for power generation enterprises, characterized in that: Acting on the sharing initiator, the multi-source data sharing method for power generation enterprises includes: When it is obtained that the health risk of the shared data source reaches a critical risk, recording 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 on the shared transmission buffer of the sharing initiator; Based on the time series clustering processing of the traversal request by the power generation enterprise, a sharing plan for the health log is obtained; The sharing plan is delivered to the sharing demand side.

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

3. The multi-source data sharing method for power generation enterprises according to claim 1, characterized in that: Determine whether the health risk of a shared data source has reached a critical risk by the following methods: Searching for other data sources similar to the shared data source based on the initial power generation network flow and the current power generation network flow of the shared data source; When the healthy duration of the shared data source and the healthy duration of the other data sources meet preset conditions, it is determined that the health risk of the shared data source reaches a critical risk.

4. The multi-source data sharing method for power generation enterprises according to claim 1, characterized in that: Determine whether the health risk of a shared data source has reached a critical risk by the following methods: After obtaining an abnormal state warning record about the shared data source, determining that the health risk of the shared data source reaches the critical risk; or, If the time series clustering processing of the shared controls of the completed shared data source by the power generation enterprise is obtained, it is determined that the health risk of the shared data source reaches the critical risk; or, If the time series clustering processing of the power generation enterprise for the shared data source that is not shared in other data source pages is obtained, it is determined that the health risk of the shared data source reaches the critical risk.

5. The multi-source data sharing method for power generation enterprises according to 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, each root node warning record and the corresponding child node warning record are identified as the same category, and the traversal request for the health log of the shared data source associated with the real-time status of the power station of the shared data source recorded on the shared transmission cache of the shared initiator includes: Recording the plurality of root node warning records in the shared transmission buffer; Based on the time series clustering processing of the root node warning records by the power generation enterprise, the root node warning records corresponding to the time series clustering processing are identified as sub-node warning records of the same category; wherein, the root node warning record is data with a brief description, and the sub-node warning record is data with a specific description.

6. The multi-source data sharing method for power generation enterprises according to claim 5, characterized in that: The time series clustering processing based on the traversal request by the power generation enterprise to obtain a sharing plan for the health log includes: Based on the time series clustering process initiated by the power generation enterprise, the sharing plan is obtained based on the root node warning record and / or the child node 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 corresponds to summary description data, and the 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 recorded in the shared transmission cache of the sharing initiator includes: Recording root node warning records corresponding to different sharing types in the shared transmission cache; Based on the time series clustering processing of the root node warning records by the power generation enterprise, summary description data of the root node warning records corresponding to the time series clustering processing are prominently recorded.

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

8. The multi-source data sharing method for power generation enterprises according to claim 1, characterized in that: The multi-source data sharing method for power generation enterprises further includes: Obtaining an early warning record returned by the sharing demand side indicating that the sharing plan is successfully associated with the shared data source; The child node warning records corresponding to the negative traversal request include any one or more of the following: warning records regarding the lack of a designated power generation emergency plan, warning records regarding failure to make maintenance safety reminders, warning records regarding poor cleanliness of the power station, warning records regarding poor positioning accuracy, warning records regarding poor image clarity, and warning records regarding poor radar signal transmission; The child node warning records corresponding to the neutral traversal request include any one or more of the following: warning records regarding accurate matching of emergency plans, warning records regarding accurate positioning accuracy, warning records regarding a good power station environment, warning records regarding radar signal transmission specifications, and warning records regarding stable image clarity; The sub-node warning records corresponding to the forward class traversal request include any one or more of the following: warning records about the completeness of the emergency plan, warning records about the active update of the shared status, warning records about maintenance safety reminders, warning records about maintenance log standards, and warning records about compliance with maintenance characteristics.

9. The multi-source data sharing method for power generation enterprises according to claim 1, characterized in that: The multi-source data sharing method for power generation enterprises further includes: Based on the time series clustering processing of power generation enterprises, the shared end period and shared start period are determined; Based on the shared publishing process initiated by the power generation enterprise, a shared publishing request is transmitted to the shared demand end, so that the shared demand end allocates the shared data source obtained according to the shared publishing request to the target service provider and starts 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 one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement a multi-source data sharing method for power generation enterprises according to any one of claims 1 to 9.

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