A cloud platform-based data compatibility processing method

Abstract

The application provides a kind of data compatible processing method based on cloud platform, belongs to electric power cloud technical field, specifically includes: according to the data analysis difficulty of different types of monitoring data and the type of monitoring data of electric power equipment, the determination of the data analysis difficulty of electric power equipment, according to the communication protocol of monitoring data of electric power equipment, the determination of the number of communication protocol of monitoring data of electric power equipment, and the determination of the protocol analysis difficulty of electric power equipment is combined with the number of monitoring data of different communication protocols, according to the abnormal situation, the number, the type, the protocol analysis difficulty and the data analysis difficulty of abnormal monitoring data in real-time monitoring data of electric power equipment, the determination of the order of data compatible processing of electric power equipment, and based on order, data compatible analysis processing is carried out, so as to further improve the reliability and real-time performance of data compatible processing.

Description

Technical Field

[0001] This invention belongs to the field of power cloud technology, and in particular relates to a data compatibility processing method based on a cloud platform. Background Technology

[0002] By building a comprehensive monitoring platform for power equipment based on the power cloud, power companies can achieve real-time dynamic monitoring of different power equipment in the power system. However, at the same time, due to the differences in manufacturers and communication protocols of different power equipment, how to achieve compatible processing of monitoring data from different power equipment has become an urgent technical problem to be solved.

[0003] To achieve compatible processing of monitoring data based on cloud platforms, existing technical solutions, such as the invention patent "Data Compatibility Processing Method and IoT Cloud Platform Based on Smart Campus," perform data compatibility conversion operations on multiple campus IoT monitoring videos collected by multiple campus IoT terminal devices to form multiple corresponding target campus IoT monitoring videos. Then, based on the corresponding video frame timestamp information, video frames are stitched together to output the target video recognition result corresponding to the stitched campus IoT monitoring videos. However, these solutions have the following technical problems: In power systems, there are often multiple IoT monitoring devices for the same power equipment, such as video surveillance, operating temperature, operating current, and power quality monitoring data. Therefore, if different data compatibility processing methods are not adopted according to the difficulty of monitoring power equipment, reliable supervision of power equipment cannot be achieved.

[0004] In power systems, cloud platforms need to monitor a large number of power devices, and there are also many IoT monitoring devices for different power devices. Therefore, if the monitoring data from the IoT monitoring devices of power devices cannot be dynamically combined with different data compatibility processing and management order determination, real-time and reliable supervision of power devices cannot be achieved.

[0005] To address the aforementioned technical problems, this invention provides a data compatibility processing method based on a cloud platform. Summary of the Invention

[0006] A data compatibility processing method based on a cloud platform, characterized in that it specifically includes: S1 acquires different types of monitoring data from power equipment through a cloud platform, and determines the data parsing difficulty of the power equipment based on the data parsing difficulty of different types of monitoring data and the type of monitoring data of the power equipment. S2 determines the number of communication protocols for the monitoring data of the power equipment based on the communication protocols of the power equipment, and determines the protocol parsing difficulty of the power equipment by combining the number of monitoring data of different communication protocols. Based on the protocol parsing difficulty and the data parsing difficulty, it is determined whether real-time data compatibility processing of the monitoring data of the power equipment can be performed. If so, real-time data compatibility processing of the monitoring data of the power equipment is performed. If not, proceed to the next step. S3 acquires real-time monitoring data of the power equipment and, based on the real-time monitoring data, determines that there is abnormal monitoring data, proceeds to the next step; S4 determines the order of data compatibility processing for power equipment by analyzing the anomalies and their quantities in the real-time monitoring data of the power equipment, and by considering the type of power equipment, protocol parsing difficulty, and data parsing difficulty. Based on this order, S4 performs data compatibility analysis and processing.

[0007] The beneficial effects of this invention are as follows: By determining the data parsing difficulty of power equipment, the differences in parsing difficulty of monitoring videos or currents are fully considered when performing data compatibility processing on power equipment monitoring data. At the same time, the differences in the number of different power equipment to be processed for data compatibility analysis are also taken into account, thereby improving the efficiency of data compatibility analysis and processing on the cloud platform.

[0008] By determining the protocol parsing difficulty of power equipment, the number of communication protocols and parsing complexity of different power equipment monitoring data are fully considered when performing data compatibility processing, thereby further improving the efficiency of the final data compatibility analysis.

[0009] When determining the order of data compatibility processing, the abnormality of monitoring data of different power equipment is fully considered, so that power equipment with a large number of abnormal or severe monitoring data are processed first, which further improves the reliability of power equipment operation.

[0010] A further technical solution is that the data parsing difficulty of the monitoring data is determined based on the type and volume of the monitoring data. Specifically, the data processing method of the monitoring data is determined based on the type of the monitoring data, and the data parsing difficulty of the monitoring data is determined based on the volume and processing method of the monitoring data.

[0011] A further technical solution is that the data parsing difficulty of the power equipment is between 0 and 1, wherein the greater the data parsing difficulty of the power equipment, the greater the difficulty of fusion processing of the monitoring data of the power equipment.

[0012] A further technical solution is that the preset ratio is determined based on the number of communication protocols of the power equipment, wherein the more communication protocols the power equipment has, the smaller the preset ratio.

[0013] A further technical solution involves determining whether real-time data compatibility processing of the monitoring data of the power equipment is possible based on the protocol parsing difficulty and data parsing difficulty, specifically including: When the protocol parsing difficulty and data parsing difficulty of the power equipment are both less than the preset parsing difficulty, it is determined that real-time data compatibility processing can be performed on the monitoring data of the power equipment.

[0014] On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-described data compatibility processing method based on a cloud platform.

[0015] On the other hand, this application provides a computer-readable storage medium storing a computer program thereon, which, when executed in a computer, causes the computer to perform the aforementioned data compatibility processing method based on a cloud platform.

[0016] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0019] Figure 1 This is a flowchart of a data compatibility processing method based on a cloud platform; Figure 2 This is a flowchart illustrating the method for determining the difficulty of data parsing for power equipment; Figure 3 It is a framework diagram of a computer system. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0021] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0022] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, according to one aspect of the present invention, a data compatibility processing method based on a cloud platform is provided, characterized in that it specifically includes: S1 acquires different types of monitoring data from power equipment through a cloud platform, and determines the data parsing difficulty of the power equipment based on the data parsing difficulty of different types of monitoring data and the type of monitoring data of the power equipment. Furthermore, the data parsing difficulty of the monitoring data is determined based on the type and volume of the monitoring data. Specifically, the data processing method of the monitoring data is determined based on the type of the monitoring data, and the data parsing difficulty of the monitoring data is determined based on the volume and processing method of the monitoring data.

[0023] In one possible embodiment, the method for determining the data parsing difficulty of the power equipment is as follows: S21 Obtain the type of monitoring data of the power equipment, and determine whether there is monitoring data with a data parsing difficulty greater than the preset difficulty based on the type of monitoring data. If yes, proceed to step S23; otherwise, proceed to step S22. S22 determines whether the number of monitoring data of the power equipment is within a preset range. If yes, the data parsing difficulty of the power equipment is determined by the sum of the data parsing difficulty of the monitoring data of the power equipment. If no, proceed to the next step. S23 determines the data processing complexity of different types of power equipment and the number of monitoring data by the type of monitoring data of the power equipment, and determines the quantity processing complexity of the power equipment by combining the number of monitoring data of the power equipment and the number of monitoring data types of the power equipment, and determines whether the quantity processing complexity is less than the preset complexity. If yes, proceed to the next step; otherwise, determine the processing complexity of the power equipment by the quantity processing complexity. S24 takes the type of monitoring data whose data parsing difficulty is greater than the preset difficulty as the filtering data type, and determines the data parsing difficulty of the power equipment by the sum of the number of filtering data types, the number of monitoring data of the filtering data types, the quantity processing complexity, and the data parsing difficulty of the monitoring data of the power equipment.

[0024] Furthermore, the data parsing difficulty of the power equipment ranges from 0 to 1, and the greater the data parsing difficulty of the power equipment, the greater the difficulty in fusion processing of the monitoring data of the power equipment.

[0025] In another possible embodiment, such as Figure 2 As shown, the method for determining the data parsing difficulty of the power equipment is as follows: The types of monitoring data from the power equipment are obtained, and the types of monitoring data with a data parsing difficulty greater than a preset difficulty are selected as the types of monitoring data to be filtered. The data parsing difficulty of the complex monitoring data of the power equipment is determined by the number of filtered monitoring data types, the data parsing difficulty of the filtered monitoring data types, and the number of monitoring data. The complexity of data processing for different types of power equipment and the quantity of monitoring data are determined by the type of monitoring data of the power equipment, and the quantity processing complexity of the power equipment is determined by combining the quantity of monitoring data of the power equipment and the number of types of monitoring data of the power equipment. The difficulty of data parsing for the power equipment is determined by summing the data parsing difficulty of the monitoring data, the data parsing difficulty of complex monitoring data, and the complexity of data processing.

[0026] S2 determines the number of communication protocols for the monitoring data of the power equipment based on the communication protocols of the power equipment, and determines the protocol parsing difficulty of the power equipment by combining the number of monitoring data of different communication protocols. Based on the protocol parsing difficulty and the data parsing difficulty, it is determined whether real-time data compatibility processing of the monitoring data of the power equipment can be performed. If so, real-time data compatibility processing of the monitoring data of the power equipment is performed. If not, proceed to the next step. It should be noted that the method for determining the protocol parsing difficulty of the aforementioned power equipment is as follows: The data transmission volume and frequency of different communication protocols are determined by using the communication protocols of the monitoring data of the power equipment, and the protocol parsing difficulty of the communication protocol is determined by using the data transmission volume and frequency of the communication protocol. The communication protocols are classified into complex communication protocols and other communication protocols based on the protocol parsing difficulty of the communication protocols. The protocol parsing difficulty of the complex communication protocols of the power equipment is determined by the number of complex communication protocols, the proportion of the communication protocols in the monitoring data of the power equipment, and the amount of monitoring data of complex communication protocols. Determine whether the protocol parsing difficulty of the complex communication protocol is greater than the preset parsing difficulty and whether the proportion of the load communication protocol in the communication protocol of the monitoring data of the power equipment is greater than the preset proportion. If yes, then determine the protocol parsing difficulty of the power equipment based on the protocol parsing difficulty of the complex communication protocol. If no, proceed to the next step. The protocol parsing difficulty of the power equipment is determined by the number of other communication protocols and the amount of monitoring data for other communication protocols, and the protocol parsing difficulty of the power equipment is determined by combining the number of communication protocols of the power equipment and the protocol parsing difficulty of the complex communication protocols.

[0027] Furthermore, the preset ratio is determined based on the number of communication protocols of the power equipment, wherein the more communication protocols the power equipment has, the smaller the preset ratio.

[0028] Specifically, the difficulty of protocol parsing and data parsing is used to determine whether real-time data compatibility processing of the monitoring data of the power equipment is possible, including: When the protocol parsing difficulty and data parsing difficulty of the power equipment are both less than the preset parsing difficulty, it is determined that real-time data compatibility processing can be performed on the monitoring data of the power equipment.

[0029] S3 acquires real-time monitoring data of the power equipment and, based on the real-time monitoring data, determines that there is abnormal monitoring data, proceeds to the next step; S4 determines the order of data compatibility processing for power equipment by analyzing the anomalies and their quantities in the real-time monitoring data of the power equipment, and by considering the type of power equipment, protocol parsing difficulty, and data parsing difficulty. Based on this order, S4 performs data compatibility analysis and processing.

[0030] In one possible embodiment, the method for determining the order of data compatibility processing of the power equipment is as follows: By analyzing the anomalies and their quantities in real-time monitoring data of power equipment, and considering the type of power equipment, protocol parsing difficulty, and data parsing difficulty, the order of data compatibility processing for power equipment is determined. The importance assessment value of the power equipment is determined by the type of power equipment, and the processing priority of the power equipment is determined based on the importance assessment value of the power equipment; The degree of abnormality of the abnormal monitoring data is determined by the abnormality of the abnormal monitoring data in the real-time monitoring data of the power equipment. When there is abnormal monitoring data of the power equipment with an abnormality degree greater than a preset degree, the processing level of the power equipment is set to the first priority processing level. The order of data compatibility processing of the power equipment is determined by the number of abnormal monitoring data of the power equipment with an abnormality degree greater than the preset degree. When the power equipment does not have any abnormal monitoring data with an abnormality level greater than a preset level: When the processing priority of the power equipment is the first priority: The processing level of the power equipment is set to the second priority processing level. The abnormal monitoring value of the power equipment is determined by the degree of abnormality of the abnormal monitoring data, the number of abnormal monitoring data, and the proportion of the abnormal monitoring data in the power equipment. The order of data compatibility processing of the power equipment is determined by the abnormal monitoring value. When the processing priority of the power equipment is the second priority: The abnormal monitoring value of the power equipment is determined by the degree of abnormality of the abnormal monitoring data, the number of abnormal monitoring data, and the proportion of the abnormal monitoring data in the power equipment. It is then determined whether the abnormal monitoring value is within a preset range. If so, the processing level of the power equipment is set to the second priority processing level, and the order of data compatibility processing of the power equipment is determined by the abnormal monitoring value. If not, proceed to the next step. The processing level of the power equipment is set to the third priority processing level. The processing priority value of the power equipment is determined by the type of the power equipment, the protocol parsing difficulty, and the data parsing difficulty. The processing priority value of the power equipment is determined by the processing priority value of the power equipment and the abnormal monitoring value. The order of data compatibility processing of the power equipment is determined by the processing priority value.

[0031] Furthermore, the first priority is greater than the second priority, the first processing priority is greater than the second processing priority, and the second processing priority is greater than the third processing priority.

[0032] The beneficial effects of this invention are as follows: By determining the data parsing difficulty of power equipment, the differences in parsing difficulty of monitoring videos or currents are fully considered when performing data compatibility processing on power equipment monitoring data. At the same time, the differences in the number of different power equipment to be processed for data compatibility analysis are also taken into account, thereby improving the efficiency of data compatibility analysis and processing on the cloud platform.

[0033] By determining the protocol parsing difficulty of power equipment, the number of communication protocols and parsing complexity of different power equipment monitoring data are fully considered when performing data compatibility processing, thereby further improving the efficiency of the final data compatibility analysis.

[0034] When determining the order of data compatibility processing, the abnormality of monitoring data of different power equipment is fully considered, so that power equipment with a large number of abnormal or severe monitoring data are processed first, which further improves the reliability of power equipment operation.

[0035] Example 2 like Figure 3 As shown, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-described data compatibility processing method based on a cloud platform.

[0036] Example 3 This application provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed in a computer, it causes the computer to perform the aforementioned data compatibility processing method based on a cloud platform.

[0037] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0038] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0039] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A data compatibility processing method based on a cloud platform, characterized in that, Specifically, it includes: The system acquires different types of monitoring data from power equipment through a cloud platform, and determines the data parsing difficulty of the power equipment based on the data parsing difficulty of different types of monitoring data and the type of monitoring data of the power equipment. The number of communication protocols for the monitoring data of the power equipment is determined according to the communication protocol of the power equipment. The protocol parsing difficulty of the power equipment is determined by combining the number of monitoring data of different communication protocols. The protocol parsing difficulty and data parsing difficulty are used to determine whether real-time data compatibility processing of the monitoring data of the power equipment can be performed. If so, real-time data compatibility processing of the monitoring data of the power equipment is performed. If not, proceed to the next step. Real-time monitoring data of power equipment is acquired, and when abnormal monitoring data is determined to exist based on the real-time monitoring data, the process proceeds to the next step. By analyzing the anomalies and their quantities in the real-time monitoring data of power equipment, and considering the type of power equipment, protocol parsing difficulty, and data parsing difficulty, the order of data compatibility processing for power equipment is determined, and data compatibility analysis is performed based on the order of data compatibility processing for power equipment.

2. The data compatibility processing method based on a cloud platform as described in claim 1, characterized in that, The difficulty of data parsing of the monitoring data is determined based on the type and volume of the monitoring data. Specifically, the data processing method of the monitoring data is determined based on the type of the monitoring data, and the difficulty of data parsing of the monitoring data is determined based on the volume and processing method of the monitoring data.

3. The data compatibility processing method based on a cloud platform as described in claim 1, characterized in that, The method for determining the data parsing difficulty of the power equipment is as follows: S21 Obtain the type of monitoring data of the power equipment, and determine whether there is monitoring data with a data parsing difficulty greater than the preset difficulty based on the type of monitoring data. If yes, proceed to step S23; otherwise, proceed to step S22. S22 determines whether the number of monitoring data of the power equipment is within a preset range. If yes, the data parsing difficulty of the power equipment is determined by the sum of the data parsing difficulty of the monitoring data of the power equipment. If no, proceed to the next step. S23 determines the data processing complexity of different types of power equipment and the number of monitoring data by the type of monitoring data of the power equipment, and determines the quantity processing complexity of the power equipment by combining the number of monitoring data of the power equipment and the number of monitoring data types of the power equipment, and determines whether the quantity processing complexity is less than the preset complexity. If yes, proceed to the next step; otherwise, determine the processing complexity of the power equipment by the quantity processing complexity. S24 takes the type of monitoring data whose data parsing difficulty is greater than the preset difficulty as the filtering data type, and determines the data parsing difficulty of the power equipment by the sum of the number of filtering data types, the number of monitoring data of the filtering data types, the quantity processing complexity, and the data parsing difficulty of the monitoring data of the power equipment.

4. The data compatibility processing method based on a cloud platform as described in claim 1, characterized in that, The data parsing difficulty of the power equipment ranges from 0 to 1. The greater the data parsing difficulty of the power equipment, the greater the difficulty in fusing and processing the monitoring data of the power equipment.

5. The data compatibility processing method based on a cloud platform as described in claim 1, characterized in that, The method for determining the data parsing difficulty of the power equipment is as follows: The types of monitoring data from the power equipment are obtained, and the types of monitoring data with a data parsing difficulty greater than a preset difficulty are selected as the types of monitoring data to be filtered. The data parsing difficulty of the complex monitoring data of the power equipment is determined by the number of filtered monitoring data types, the data parsing difficulty of the filtered monitoring data types, and the number of monitoring data. The complexity of data processing for different types of power equipment and the quantity of monitoring data are determined by the type of monitoring data of the power equipment, and the quantity processing complexity of the power equipment is determined by combining the quantity of monitoring data of the power equipment and the number of types of monitoring data of the power equipment. The difficulty of data parsing for the power equipment is determined by summing the data parsing difficulty of the monitoring data, the data parsing difficulty of complex monitoring data, and the complexity of data processing.

6. The data compatibility processing method based on a cloud platform as described in claim 1, characterized in that, The method for determining the protocol parsing difficulty of the power equipment is as follows: The data transmission volume and frequency of different communication protocols are determined by using the communication protocols of the monitoring data of the power equipment, and the protocol parsing difficulty of the communication protocol is determined by using the data transmission volume and frequency of the communication protocol. The communication protocols are classified into complex communication protocols and other communication protocols based on the protocol parsing difficulty of the communication protocols. The protocol parsing difficulty of the complex communication protocols of the power equipment is determined by the number of complex communication protocols, the proportion of the communication protocols in the monitoring data of the power equipment, and the amount of monitoring data of complex communication protocols. Determine whether the protocol parsing difficulty of the complex communication protocol is greater than the preset parsing difficulty and whether the proportion of the complex communication protocol in the communication protocol of the monitoring data of the power equipment is greater than the preset proportion. If yes, then determine the protocol parsing difficulty of the power equipment based on the protocol parsing difficulty of the complex communication protocol. If no, proceed to the next step. The protocol parsing difficulty of the power equipment is determined by the number of other communication protocols and the amount of monitoring data for other communication protocols, and the protocol parsing difficulty of the power equipment is determined by combining the number of communication protocols of the power equipment and the protocol parsing difficulty of the complex communication protocols.

7. The data compatibility processing method based on a cloud platform as described in claim 6, characterized in that, The preset ratio is determined based on the number of communication protocols of the power equipment. The more communication protocols the power equipment has, the smaller the preset ratio becomes.

8. The data compatibility processing method based on a cloud platform as described in claim 1, characterized in that, The ability to perform real-time data compatibility processing on the monitoring data of the power equipment is determined by the difficulty of protocol parsing and data parsing, specifically including: When the protocol parsing difficulty and data parsing difficulty of the power equipment are both less than the preset parsing difficulty, it is determined that real-time data compatibility processing can be performed on the monitoring data of the power equipment.

9. A computer system, comprising: A memory and processor connected by communication, and a computer program stored on the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes a data compatibility processing method based on a cloud platform as described in any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform a data compatibility processing method based on a cloud platform as described in any one of claims 1-8.

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