Information processing method and system based on water turbine control feedback

Abstract

The application provides a water turbine control feedback-based information processing method and system, a water turbine state feedback database is determined based on a frequent state feedback item database corresponding to the water turbine state feedback database, the frequent state feedback item database comprises frequent item state characteristics of each state feedback activity of a state feedback identifier, and secondly, based on the frequent state feedback item database, key frequent item state characteristics corresponding to each state feedback identifier are obtained, reference frequent state feedback item data comprising the key frequent item state characteristics and the state feedback identifier are obtained, and the reference frequent state feedback item data corresponding to the water turbine state monitoring system is sent to a water turbine control node running on a water turbine control application. In this way, reference data for subsequent water turbine control nodes can be generated by performing water turbine control feedback analysis, so as to expand the data basis of the subsequent water turbine control process.

Description

Technical Field

[0001] This application relates to the field of water turbine technology, and more specifically, to an information processing method and system based on water turbine control feedback. Background Technology

[0002] How to effectively generate reference data for subsequent turbine control nodes, so as to expand the data basis for subsequent turbine control processes, is a problem that needs to be solved. Summary of the Invention

[0003] To at least address some of the aforementioned problems, the purpose of this application is to provide an information processing method based on turbine control feedback, comprising:

[0004] The turbine status feedback information is obtained through the turbine status monitoring system, and the status feedback identifier of the field status feedback unit corresponding to the turbine status feedback information is obtained, and a turbine status feedback database for the turbine status monitoring system is created.

[0005] Based on the turbine state feedback database, the frequent state feedback item database corresponding to the turbine state feedback database is obtained by parsing. The frequent state feedback item database includes the frequent item state features of the turbine control application associated with the state feedback identifier for each state feedback activity.

[0006] Based on the frequent state feedback item database, key frequent item state features corresponding to each state feedback identifier in the turbine state feedback database are obtained; based on the key frequent item state features and the turbine state feedback information of the turbine state monitoring system, reference frequent state feedback item data including the key frequent item state features and the state feedback identifier is obtained, and the reference frequent state feedback item data corresponding to the turbine state monitoring system is sent to the turbine control node running on the turbine control application.

[0007] In an alternative implementation of this application, the step of parsing and obtaining a database of frequent state feedback items corresponding to the turbine state feedback database based on the turbine state feedback database includes:

[0008] The turbine state feedback database is mined using a preset frequent state feedback item mining network, and the frequent state feedback item database is obtained based on the multiple frequent state feedback item data obtained from the mining results.

[0009] In an alternative implementation of this application, based on the frequent state feedback item database, key frequent item state features corresponding to each state feedback identifier in the turbine state feedback database are obtained, including:

[0010] Based on the frequent state feedback item database, the key feature information of the turbine control nodes associated with each turbine control application included in the frequent state feedback item database is obtained.

[0011] Based on the key feature information of the turbine control node, search for key frequent item state features corresponding to the key feature information of the turbine control node of each turbine control application from the stored key frequent item state feature records.

[0012] In an alternative implementation of this application, based on the key feature information of the turbine control node, the key frequent item state features corresponding to the key feature information of the turbine control node in each turbine control application are searched from the stored key frequent item state feature records, including:

[0013] Based on the key feature information of the turbine control node of each turbine control application, multiple key features corresponding to the key feature information of the turbine control node are determined from the key frequent item state feature record;

[0014] Based on the aforementioned multiple key connection features, the reference frequent state feedback item data corresponding to the turbine state monitoring system is sent to the turbine control node running on the turbine control application;

[0015] Based on the feedback information sent by each turbine control application after receiving the reference frequent state feedback item data, the target key frequent item state feature corresponding to the turbine control application is determined from the multiple key connection features.

[0016] In an alternative implementation of this application, the step of acquiring reference frequent state feedback item data including the key frequent item state features and the state feedback identifier, and sending the reference frequent state feedback item data corresponding to the turbine state monitoring system to the turbine control node running on the turbine control application, includes:

[0017] Based on the current field configuration information corresponding to the turbine status feedback database, the previous key frequent item status characteristics are adjusted by the current key frequent item status characteristics set for each turbine control application, and the reference frequent status feedback item data corresponding to the turbine status monitoring system is sent to the turbine control node running on the turbine control application based on the adjusted key frequent item status characteristics.

[0018] In addition, this application also provides an information processing system based on turbine control feedback, comprising:

[0019] A creation unit is used to obtain turbine status feedback information through the turbine status monitoring system, obtain the status feedback identifier of the field status feedback unit corresponding to the turbine status feedback information, and create a turbine status feedback database for the turbine status monitoring system.

[0020] The parsing unit is used to parse and obtain a frequent state feedback item database corresponding to the turbine state feedback database based on the turbine state feedback database. The frequent state feedback item database includes the frequent item state features of the state feedback identifier for each state feedback activity.

[0021] The processing unit is configured to obtain key frequent item state features corresponding to each state feedback identifier in the turbine state feedback database based on the frequent state feedback item database; obtain reference frequent state feedback item data including the key frequent item state features and the state feedback identifier based on the turbine state feedback information of the turbine state monitoring system; and send the reference frequent state feedback item data corresponding to the turbine state monitoring system to the turbine control node running on the turbine control application.

[0022] In an alternative implementation of this application embodiment, the parsing unit is used for:

[0023] The turbine state feedback database is mined by a preset frequent state feedback item mining network, and the frequent state feedback item database is obtained based on the multiple frequent state feedback item data obtained from the mining results.

[0024] The processing unit is used for:

[0025] Based on the frequent state feedback item database, key feature information of the turbine control nodes associated with each turbine control application included in the frequent state feedback item database is obtained; based on the key feature information of the turbine control nodes, key frequent item state features corresponding to the key feature information of the turbine control nodes of each turbine control application are searched from the stored key frequent item state feature records.

[0026] In an alternative implementation of this application embodiment, the processing unit is further configured to:

[0027] Based on the key feature information of the turbine control node of each turbine control application, multiple key features corresponding to the key feature information of the turbine control node are determined from the key frequent item state feature record;

[0028] Based on the aforementioned multiple key connection features, the reference frequent state feedback item data corresponding to the turbine state monitoring system is sent to the turbine control node running on the turbine control application;

[0029] Based on the feedback information sent by each turbine control application after receiving the reference frequent state feedback item data, the target key frequent item state feature corresponding to the turbine control application is determined from the multiple key connection features.

[0030] In an alternative implementation of this application embodiment, the processing unit is further configured to:

[0031] Based on the current field configuration information corresponding to the turbine status feedback database, the previous key frequent item status characteristics are adjusted by adjusting the current key frequent item status characteristics for each turbine control application, and the reference frequent status feedback item data corresponding to the turbine status monitoring system is sent to the turbine control node running on the turbine control application based on the adjusted key frequent item status characteristics.

[0032] This application also aims to provide a machine-readable storage medium, including machine-executable instructions stored in the machine-readable storage medium, which, when executed, implement the above-described method.

[0033] Based on the above, the information processing method and system based on turbine control feedback provided in this application first obtains turbine status feedback information through a turbine status monitoring system and obtains the status feedback identifier of the field status feedback unit corresponding to the turbine status feedback information, creating a turbine status feedback database for the turbine status monitoring system. Then, based on the turbine status feedback database, a frequent status feedback item database corresponding to the turbine status feedback database is obtained by parsing. The frequent status feedback item database includes the frequent item status features of the status feedback identifier for each status feedback activity. Next, based on the frequent status feedback item database, key frequent item status features corresponding to each status feedback identifier in the turbine status feedback database are obtained. Finally, based on the key frequent item status features and the turbine status feedback information of the turbine status monitoring system, reference frequent status feedback item data including the key frequent item status features and the status feedback identifier is obtained, and the reference frequent status feedback item data corresponding to the turbine status monitoring system is sent to the turbine control node running on the turbine control application. Thus, based on the frequent state characteristics of different turbine control applications, key descriptions of corresponding frequent state feedback data are generated. Based on the key frequent state characteristics and turbine state feedback information from the turbine state monitoring system, relevant reference frequent state feedback data are sent to the turbine control nodes running on the turbine control applications. Reference data for subsequent turbine control nodes can be generated through turbine control feedback analysis, thereby expanding the data basis for subsequent turbine control processes. Attached Figure Description

[0034] To more clearly illustrate the technical solution of this application, the accompanying drawings used in the embodiments will be briefly described below.

[0035] Figure 1 This is a flowchart illustrating the information processing method based on turbine control feedback provided in this application.

[0036] Figure 2 This is a schematic diagram of the architecture of the smart healthcare server that performs the information processing method based on turbine control feedback provided in this application.

[0037] Figure 3 This is a schematic diagram of the functional units of the information processing system based on turbine control feedback provided in this application. Detailed Implementation

[0038] like Figure 1 The diagram shown is a flowchart of the information processing method based on turbine control feedback provided in this application. The method includes the following steps.

[0039] Step A10: Obtain turbine status feedback information through the turbine status monitoring system, and obtain the status feedback identifier of the field status feedback unit corresponding to the turbine status feedback information, and create a turbine status feedback database for the turbine status monitoring system.

[0040] Step A20: Based on the turbine state feedback database, parse and obtain the frequent state feedback item database corresponding to the turbine state feedback database. The frequent state feedback item database includes the frequent item state features of the state feedback identifier for each state feedback activity.

[0041] Step A30: Based on the frequent state feedback item database, obtain key frequent item state features corresponding to each state feedback identifier in the turbine state feedback database; based on the key frequent item state features and the turbine state feedback information of the turbine state monitoring system, obtain reference frequent state feedback item data including the key frequent item state features and the state feedback identifier, and send the reference frequent state feedback item data corresponding to the turbine state monitoring system to the turbine control node running on the turbine control application.

[0042] In this application, step A20, which involves parsing and obtaining a database of frequent state feedback items corresponding to the turbine state feedback database based on the turbine state feedback database, includes:

[0043] The turbine state feedback database is mined using a preset frequent state feedback item mining network, and the frequent state feedback item database is obtained based on the multiple frequent state feedback item data obtained from the mining results.

[0044] In this application, step A30, based on the frequent state feedback item database, obtains key frequent item state features corresponding to each state feedback identifier in the turbine state feedback database, including:

[0045] Based on the frequent state feedback item database, key feature information of the turbine control nodes associated with each turbine control application included in the frequent state feedback item database is obtained; based on the key feature information of the turbine control nodes, key frequent item state features corresponding to the key feature information of the turbine control nodes of each turbine control application are searched from the stored key frequent item state feature records.

[0046] In this application, step A30, based on the key feature information of the turbine control node, searches for key frequent item state features corresponding to the key feature information of the turbine control node in each turbine control application from the key frequent item state feature record, including:

[0047] Based on the key feature information of the turbine control node of each turbine control application, multiple key features corresponding to the key feature information of the turbine control node are determined from the key frequent item state feature record;

[0048] Based on the aforementioned multiple key connection features, the reference frequent state feedback item data corresponding to the turbine state monitoring system is sent to the turbine control node running on the turbine control application;

[0049] Based on the feedback information sent by each turbine control application after receiving the reference frequent state feedback item data, the target key frequent item state feature corresponding to the turbine control application is determined from the multiple key connection features.

[0050] In this application, the method further includes: based on the current field configuration information corresponding to the turbine status feedback database, adjusting the previous key frequent item status characteristics through the currently set key frequent item status characteristics for each turbine control application, and sending the reference frequent status feedback item data corresponding to the turbine status monitoring system to the turbine control node running on the turbine control application based on the adjusted key frequent item status characteristics.

[0051] Figure 2 This is a schematic diagram of the smart healthcare server provided in this application for executing the above-described information processing method based on turbine control feedback.

[0052] In this application, the smart healthcare server 1 may include one or more processors 10. The processor 10 may perform one or more functions described in this invention. The machine-readable storage medium 20 may store data, code, instructions, etc. For example, the machine-readable storage medium may store data, instructions, and code for execution or use by the smart healthcare server 1, or its processor, to implement the methods of this application by executing or using the data, instructions, and code. Figure 3 This is a functional unit diagram of the information processing system 30 based on turbine control feedback provided in this application. The information processing system 30 based on turbine control feedback can be the aforementioned smart medical server 1, or the processor of the smart medical server 1, or a software program module contained in a machine-readable storage medium. Figure 3 As shown, the information processing system based on turbine control feedback includes:

[0053] The creation unit 301 is used to obtain turbine status feedback information through the turbine status monitoring system, obtain the status feedback identifier of the field status feedback unit corresponding to the turbine status feedback information, and create a turbine status feedback database for the turbine status monitoring system.

[0054] The parsing unit 302 is used to parse and obtain a frequent state feedback item database corresponding to the turbine state feedback database based on the turbine state feedback database. The frequent state feedback item database includes the frequent item state features of the state feedback identifier for each state feedback activity.

[0055] The processing unit 303 is configured to obtain key frequent item state features corresponding to each state feedback identifier in the turbine state feedback database based on the frequent state feedback item database; obtain reference frequent state feedback item data including the key frequent item state features and the state feedback identifier based on the turbine state feedback information of the turbine state monitoring system; and send the reference frequent state feedback item data corresponding to the turbine state monitoring system to the turbine control node running on the turbine control application.

[0056] In this application, the parsing unit 302 is used to mine the turbine state feedback database through a preset frequent state feedback item mining network, and obtain the frequent state feedback item database based on the multiple frequent state feedback item data obtained from the mining results.

[0057] In this application, the processing unit 303 is used to obtain key feature information of the turbine control nodes associated with each turbine control application in the frequent state feedback item database based on the frequent state feedback item database; and to search for key frequent item state features corresponding to the key feature information of the turbine control nodes of each turbine control application from the stored key frequent item state feature records based on the key feature information of the turbine control nodes of each turbine control application.

[0058] In this application, the processing unit 303 is further configured to determine, based on the key feature information of the turbine control node of each turbine control application, multiple related key features corresponding to the key feature information of the turbine control node from the key frequent item state feature record;

[0059] Based on the aforementioned multiple key connection features, the reference frequent state feedback item data corresponding to the turbine state monitoring system is sent to the turbine control node running on the turbine control application;

[0060] Based on the feedback information sent by each turbine control application after receiving the reference frequent state feedback item data, the target key frequent item state feature corresponding to the turbine control application is determined from the multiple key connection features.

[0061] In this application, the processing unit 303 is further configured to adjust the previous key frequent item status characteristics based on the current field configuration information corresponding to the turbine status feedback database, through the currently set key frequent item status characteristics for each turbine control application, and send the reference frequent status feedback item data corresponding to the turbine status monitoring system to the turbine control node running on the turbine control application based on the adjusted key frequent item status characteristics.

[0062] Based on the above, the information processing method and system based on turbine control feedback provided in this application first obtains turbine status feedback information through a turbine status monitoring system and obtains the status feedback identifier of the field status feedback unit corresponding to the turbine status feedback information, creating a turbine status feedback database for the turbine status monitoring system. Then, based on the turbine status feedback database, a frequent status feedback item database corresponding to the turbine status feedback database is obtained through parsing. The frequent status feedback item database includes the frequent item status features of the status feedback identifier for each status feedback activity. Next, based on the frequent status feedback item database, key frequent item status features corresponding to each status feedback identifier in the turbine status feedback database are obtained. Then, based on the key frequent item status features and the turbine status feedback information of the turbine status monitoring system, reference frequent status feedback item data including the key frequent item status features and the status feedback identifier is obtained, and the reference frequent status feedback item data corresponding to the turbine status monitoring system is sent to the turbine control node running on the turbine control application. Thus, based on the frequent state characteristics of different turbine control applications, key descriptions of corresponding frequent state feedback data are generated. Based on the key frequent state characteristics and turbine state feedback information from the turbine state monitoring system, relevant reference frequent state feedback data are sent to the turbine control nodes running on the turbine control applications. Reference data for subsequent turbine control nodes can be generated through turbine control feedback analysis, thereby expanding the data basis for subsequent turbine control processes.

[0063] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this application. No drawings in the claims should be construed as limiting the scope of the claims.

Claims

1. An information processing method based on water turbine control feedback, characterized by, The method comprises: obtaining water turbine state feedback information through a water turbine state monitoring system, and obtaining a state feedback identifier of a field state feedback unit corresponding to the water turbine state feedback information, and creating a water turbine state feedback database for the water turbine state monitoring system; based on the water turbine state feedback database, a frequent state feedback item database corresponding to the water turbine state feedback database is obtained by analysis, and the frequent state feedback item database comprises frequent item state characteristics of each state feedback activity of a water turbine control application associated with the state feedback identifier; based on the frequent state feedback item database, key frequent item state characteristics corresponding to each state feedback identifier in the water turbine state feedback database are obtained, based on the key frequent item state characteristics and the water turbine state feedback information of the water turbine state monitoring system, reference frequent state feedback item data comprising the key frequent item state characteristics and the state feedback identifier are obtained, and the reference frequent state feedback item data corresponding to the water turbine state monitoring system is sent to a water turbine control node running on a water turbine control application, The method comprises: obtaining water turbine state feedback information through a water turbine state monitoring system, and obtaining a state feedback identifier of a field state feedback unit corresponding to the water turbine state feedback information, and creating a water turbine state feedback database for the water turbine state monitoring system; based on the water turbine state feedback database, a frequent state feedback item database corresponding to the water turbine state feedback database is obtained by analysis, and the frequent state feedback item database comprises frequent item state characteristics of each state feedback activity of a water turbine control application associated with the state feedback identifier; based on the frequent state feedback item database, key frequent item state characteristics corresponding to each state feedback identifier in the water turbine state feedback database are obtained, based on the key frequent item state characteristics and the water turbine state feedback information of the water turbine state monitoring system, reference frequent state feedback item data comprising the key frequent item state characteristics and the state feedback identifier are obtained, and the reference frequent state feedback item data corresponding to the water turbine state monitoring system is sent to a water turbine control node running on a water turbine control application, The method comprises: obtaining water turbine state feedback information through a water turbine state monitoring system, and obtaining a state feedback identifier of a field state feedback unit corresponding to the water turbine state feedback information, and creating a water turbine state feedback database for the water turbine state monitoring system; based on the water turbine state feedback database, a frequent state feedback item database corresponding to the water turbine state feedback database is obtained by analysis, and the frequent state feedback item database comprises frequent item state characteristics of each state feedback activity of a water turbine control application associated with the state feedback identifier; based on the frequent state feedback item database, key frequent item state characteristics corresponding to each state feedback identifier in the water turbine state feedback database are obtained, based on the key frequent item state characteristics and the water turbine state feedback information of the water turbine state monitoring system, reference frequent state feedback item data comprising the key frequent item state characteristics and the state feedback identifier are obtained, and the reference frequent state feedback item data corresponding to the water turbine state monitoring system is sent to a water turbine control node running on a water turbine control application, The method comprises: obtaining water turbine state feedback information through a water turbine state monitoring system, and obtaining a state feedback identifier of a field state feedback unit corresponding to the water turbine state feedback information, and creating a water turbine state feedback database for the water turbine state monitoring system; based on the water turbine state feedback database, a frequent state feedback item database corresponding to the water turbine state feedback database is obtained by analysis, and the frequent state feedback item database comprises frequent item state characteristics of each state feedback activity of a water turbine control application associated with the state feedback identifier; based on the frequent state feedback item database, key frequent item state characteristics corresponding to each state feedback identifier in the water turbine state feedback database are obtained, based on the key frequent item state characteristics and the water turbine state feedback information of the water turbine state monitoring system, reference frequent state feedback item data comprising the key frequent item state characteristics and the state feedback identifier are obtained, and the reference frequent state feedback item data corresponding to the water turbine state monitoring system is sent to a water turbine control node running on a water turbine control application, The method further comprises: adjusting the key frequent item state feature based on the current field configuration information corresponding to the water turbine state feedback database and the current set key frequent item state feature for each water turbine control application, and sending the reference frequent state feedback item data corresponding to the water turbine state monitoring system to the water turbine control node running on the water turbine control application based on the adjusted key frequent item state feature.

2. An information processing system based on feedback of control of a hydraulic turbine, characterized by Comprise: A creating unit is configured to obtain water turbine state feedback information through a water turbine state monitoring system, obtain a state feedback identifier of a field state feedback unit corresponding to the water turbine state feedback information, and create a water turbine state feedback database for the water turbine state monitoring system; a parsing unit is configured to parse a frequent state feedback item database corresponding to the water turbine state feedback database based on the water turbine state feedback database, wherein the frequent state feedback item database comprises a frequent item state feature of the state feedback identifier for each state feedback activity; A processing unit is configured to obtain a key frequent item state feature corresponding to each state feedback identifier in the water turbine state feedback database based on the frequent state feedback item database, obtain reference frequent state feedback item data comprising the key frequent item state feature and the state feedback identifier based on the key frequent item state feature and water turbine state feedback information of the water turbine state monitoring system, and send the reference frequent state feedback item data corresponding to the water turbine state monitoring system to a water turbine control node running on a water turbine control application; The parsing unit is configured to mine the water turbine state feedback database through a preset frequent state feedback item mining network, and obtain the frequent state feedback item database based on a plurality of frequent state feedback item data obtained from the mining result; the processing unit is configured to obtain key feature information of a water turbine control node associated with each water turbine control application included in the frequent state feedback item database based on the frequent state feedback item database, and search for a key frequent item state feature corresponding to the key feature information of the water turbine control node of each water turbine control application from a stored key frequent item state feature record based on the key feature information of the water turbine control node; The processing unit is further configured to: determine a plurality of contact key features corresponding to the key feature information of the water turbine control node based on the key feature information of the water turbine control node of each water turbine control application from the key frequent item state feature record; and send the reference frequent state feedback item data corresponding to the water turbine state monitoring system to the water turbine control node running on the water turbine control application based on the plurality of contact key features; Determine a target key frequent item state feature corresponding to the water turbine control application from the plurality of contact key features based on feedback information sent by each water turbine control application after receiving the reference frequent state feedback item data. The processing unit is further configured to adjust the key frequent item state features before the current key frequent item state features are set for each water turbine control application based on the current field configuration information corresponding to the water turbine state feedback database, and send the reference frequent state feedback item data corresponding to the water turbine state monitoring system to the water turbine control node running on the water turbine control application based on the adjusted key frequent item state features.

3. A machine-readable storage medium, characterized in that, The machine readable storage medium has stored machine executable instructions, which when executed implement the method of claim 1.

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