Water turbine event-oriented data modeling method and device and storage medium

Abstract

The invention discloses a water turbine event-oriented data modeling method and device and a storage medium. The method comprises the steps of creating a service analysis scene; defining events in the business analysis scene; the elements of the event comprise an event occurrence object and event description; the instantiated event information comprises starting time and ending time; constructing the incidence relation of the different events, namely constructing the sequence relation between the events according to the time dimension, and constructing the logic relation between the events; constructing a relationship between the events and membership data, and hooking data information needing to be concerned or analyzed by different events into the corresponding events; and providing a data service based on the event relation model. According to the method for modeling event data in the industrial field, the event data and other types of data are subjected to linkage analysis, the accuracy and efficiency of data analysis are improved, and therefore the operation safety and maintenance efficiency of the water turbine can be improved.

Description

Technical Field

[0001] The invention relates to data modeling technology, and in particular to a data modeling method, device and storage medium for water turbine events. Background Art

[0002] In the prior art, data modeling in the industrial field mainly aims at establishing attributes and table relationships for various types of business data, such as time series, structured, and unstructured, to form a data model to support business applications. For example: CN114281113A is a method and system for constructing an intelligent operation information model of hydropower equipment; CN113656537A is an event data modeling method and a natural language semantic construction system. However, there are few models for event data in the prior art, and methods for linking and analyzing other data such as measurement data and management data based on event data.

[0003] In addition, the data involved in the business scenarios of the Industrial Internet usually include static basic data of equipment, runtime data, production management data, event data, etc. These data need to be associated and combined when analyzing specific business scenarios to achieve the purpose of linkage analysis. However, there is currently no model framework that organically links the above data and uses it for turbine event analysis. Summary of the invention

[0004] The invention provides a data modeling method, device and storage medium for water turbine events.

[0005] In a first aspect, the present invention provides a data modeling method for a hydraulic turbine event, the method comprising: Create a business analysis scenario and use the concept of collection to represent the event collection in the scenario: ,in Represents a collection of scenes, Represents a single event within a scene; Define events in business analysis scenarios as ; The elements of the event include the object where the event occurs and event description ; Instantiated event information includes start time , End time , The specific manifestations are:

[0006] Construct the association relationship between different events, including: constructing the order relationship between events according to the time dimension, and constructing the logical relationship between events; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events; Provide data services based on event relationship model.

[0007] Furthermore, the association relationship in constructing the association relationship of different events is specifically: The association relationship is composed of logical combinations of AND, OR, and NOT.

[0008] Furthermore, the data information that needs to be paid attention to or analyzed in different events is linked to the data information in the corresponding event, including: static basic data, runtime data and production management data, which are specifically expressed as ,in Representation and Events Related data sets, Represents a single data item.

[0009] Furthermore, providing data services based on the event relationship model includes: Provide event data relationship service: Support the service capability of using the built business event data to form event attributes, and form services for the data, event relationships and subordinate data in the event to enable the business to complete rapid application development. The expression is: ; Provide data retrieval recommendation service: Provide data linkage search and call service based on event association relationship; when retrieving data asset map, the background makes recommendations based on event association, and the expression is: ; in, Represents a set of association relationships. Represents a collection of events. Represents a collection of data.

[0010] Furthermore, the scenario in the created business analysis scenario is specifically: the scenario represents an analysis subject.

[0011] Furthermore, the method comprises: An event data association relationship model is constructed based on elements to form a data relationship network, and data linkage recommendation is performed based on the relationship network; the elements include: the chronological relationship between events, logical calculations, and the affiliation with data.

[0012] In a second aspect, the present invention provides a data modeling device for water turbine events, the device comprising: Create modules for: Create business analysis scenarios; Define events in business analysis scenarios; the elements of the event include the object where the event occurs and the event description; the instantiated event information includes the start time and the end time; Construct the association relationship between different events, including: constructing the order relationship between events according to the time dimension, and constructing the logical relationship between events; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events; Provides service modules for: Provide data services based on event relationship model.

[0013] Furthermore, the service providing module includes: Provides an event data relationship service submodule to: support the service capability of using the already built business event data to form event attributes, and form services from the data, event relationships, and subordinate data within the event for the business to complete rapid application development; Provides a data retrieval recommendation service sub-module, which is used to: provide data linkage search and call services based on event association relationships; when retrieving data asset maps, the background makes recommendations based on event associations.

[0014] In a third aspect, the present invention provides a data modeling device for water turbine events, the device comprising: Memory, used to store programs; The processor is used to execute the program stored in the memory. When the program stored in the memory is executed, the processor is used to execute the above method.

[0015] In a fourth aspect, the present invention provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, causes the one or more processors to execute the above method.

[0016] Compared with the prior art, the present invention has the following advantages: This application can construct an event data association model based on elements such as the chronological relationship between events, logical calculations, and the affiliation with data, form a data relationship network, and design data analysis based on the relationship network; with events as the main line, the static basic data, runtime data, production management data, etc. of the equipment involved in the industrial Internet business scenarios are organically combined; the model formed in this method can be combined with the data query function to realize the linkage recommendation of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a data modeling method for a hydraulic turbine event provided by an embodiment of the present invention; Figure 2 A schematic diagram of the composition of a data modeling device for turbine events provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] Figure 1 A schematic diagram of a data modeling method for a hydraulic turbine event provided by an embodiment of the present invention, the method comprising: Create a business analysis scenario and use the concept of collection to represent the event collection in the scenario: ,in Represents a collection of scenes, Represents a single event within a scene; Define events in business analysis scenarios as ; The elements of the event include the object where the event occurs and event description ; Instantiated event information includes start time , End time , The specific manifestations are:

[0020] Construct the association relationship between different events, including: constructing the order relationship between events according to the time dimension, and constructing the logical relationship between events; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events; Provide data services based on event relationship model.

[0021] Furthermore, the association relationship in constructing the association relationship of different events is specifically: The association relationship is composed of logical combinations of AND, OR, and NOT.

[0022] Furthermore, the data information that needs to be paid attention to or analyzed in different events is linked to the data information in the corresponding event, including: static basic data, runtime data and production management data, which are specifically expressed as ,in Representation and Events Related data sets, Represents a single data item.

[0023] Furthermore, providing data services based on the event relationship model includes: Provide event data relationship service: Support the service capability of using the built business event data to form event attributes, and form services for the data, event relationships and subordinate data in the event to enable the business to complete rapid application development. The expression is: ; Provide data retrieval recommendation service: Provide data linkage search and call service based on event association relationship; when retrieving data asset map, the background makes recommendations based on event association, and the expression is: ; in, Represents a set of association relationships. Represents a collection of events. Represents a collection of data.

[0024] Furthermore, the scenario in the created business analysis scenario is specifically: the scenario represents an analysis subject.

[0025] Furthermore, the method comprises: An event data association relationship model is constructed based on elements to form a data relationship network, and data linkage recommendation is performed based on the relationship network; the elements include: the chronological relationship between events, logical calculations, and the affiliation with data.

[0026] In one embodiment, taking the construction of a "startup process" of a certain type of mixed flow unit as an example, the events and sub-events of the startup process of the unit of this type are defined, including startup operation, cooling equipment operation, auxiliary equipment operation, etc.

[0027] Construct the correlation between different events in the boot process: According to the time dimension, the order relationship between events is constructed. The order relationship of turbine startup events is: shutdown state, switch operation, cooling equipment operation, auxiliary equipment operation, start hydraulic system unlocking, and inject high-pressure oil to check the damper. For example, the cooling equipment operation comes after the switch operation.

[0028] Construct logical relationships between events, which are composed of logical combinations of AND, OR, and NOT; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events. The data information includes static basic data, operation sequence data, production management data, etc. For example, the equipment action event of high-pressure oil pump operation is associated with the data information of high-pressure oil main pump operation and high-pressure oil standby pump operation. For example, the event of brake working is associated with the data information of brake lower chamber pressure action, brake lifting action data information, and brake falling data information.

[0029] Based on the above event relationship model, data services are provided, which include two aspects: Provide event data relationship services: Support the service capability of using the business event data of the boot process that has been built to form event attributes, and form services for the data within the event, event relationships, and subordinate data to enable the business to complete rapid application development.

[0030] Provide data retrieval recommendation service: Provide data linkage search and call service based on the association relationship of startup process events. For example, when searching for "high-pressure oil injection" data, based on the sequence of events, automatically recommend "pure water system startup" and other data.

[0031] Figure 2 A schematic diagram of a data modeling device for turbine events provided in an embodiment of the present invention, the device comprising: Create modules for: Create business analysis scenarios; Define events in business analysis scenarios; the elements of the event include the object where the event occurs and the event description; the instantiated event information includes the start time and the end time; Construct the association relationship between different events, including: constructing the order relationship between events according to the time dimension, and constructing the logical relationship between events; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events; Provides service modules for: Provide data services based on event relationship model.

[0032] Furthermore, the service providing module includes: Provides an event data relationship service submodule to: support the service capability of using the already built business event data to form event attributes, and form services from the data, event relationships, and subordinate data within the event for the business to complete rapid application development; Provides a data retrieval recommendation service sub-module, which is used to: provide data linkage search and call services based on event association relationships; when retrieving data asset maps, the background makes recommendations based on event associations.

[0033] A schematic diagram of a data modeling device for turbine events provided by an embodiment of the present invention; the device comprises: Memory, used to store programs; The processor is used to execute the program stored in the memory. When the program stored in the memory is executed, the processor is used to execute the above method.

[0034] In addition, an embodiment of the present invention provides a storage medium storing computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the above method.

[0035] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A data modeling method for turbine events, characterized in that: The method comprises: Create a business analysis scenario and use the concept of collection to represent the event collection in the scenario: ,in Represents a collection of scenes, Represents a single event within a scene; Define events in business analysis scenarios as ; The elements of the event include the object where the event occurs and event description ; The instantiated event information includes the start time , End time , The specific manifestations are: Construct the relationship between different events, including: construct the order of events according to the time dimension, and construct the logical relationship between events; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events; Provide data services based on event relationship model.

2. The data modeling method for turbine events according to claim 1, characterized in that: The association relationships in the construction of association relationships of different events are specifically: The association relationship is composed of logical combinations of AND, OR, and NOT.

3. The data modeling method for turbine events according to claim 1, characterized in that: The data information that needs to be paid attention to or analyzed for different events is linked to the data information in the corresponding event, including: static basic data, runtime data and production management data, which are specifically expressed as ,in Representation and Events Related data sets, Represents a single data item.

4. The data modeling method for turbine events according to claim 1, characterized in that: The data service provided based on the event relationship model includes: Provide event data relationship service: Support the service capability of using the built business event data to form event attributes, and form services for the data, event relationships and subordinate data in the event to enable the business to complete rapid application development. The expression is: ； Provide data retrieval recommendation service: Provide data linkage search and call service based on event association relationship; when retrieving data asset map, the background makes recommendations based on event association, and the expression is: ； in, Represents a set of association relationships. Represents a collection of events. Represents a collection of data.

5. The data modeling method for water turbine events according to claim 1, characterized in that: The scenario in the created business analysis scenario is specifically: the scenario represents an analysis subject.

6. The data modeling method for turbine events according to claim 1, characterized in that: The method comprises: An event data association relationship model is constructed based on elements to form a data relationship network, and data linkage recommendation is performed based on the relationship network; the elements include: the chronological relationship between events, logical calculations, and the affiliation with data.

7. A data modeling device for turbine events, characterized in that: The device comprises: Create modules for: Create business analysis scenarios; Define events in business analysis scenarios; the elements of the event include the object where the event occurs and the event description; the instantiated event information includes the start time and the end time; Construct the association relationship between different events, including: constructing the order relationship between events according to the time dimension, and constructing the logical relationship between events; Build the relationship between events and subordinate data, and attach the data information that needs to be paid attention to or analyzed in different events to the corresponding events; Provides service modules for: Provide data services based on event relationship model.

8. The data modeling device for water turbine events according to claim 7, characterized in that: The service providing module comprises: Provides an event data relationship service submodule to: support the service capability of using the already built business event data to form event attributes, and form services from the data, event relationships, and subordinate data within the event for the business to complete rapid application development; Provides a data retrieval recommendation service submodule, which is used to: provide data linkage search and call services based on event association relationships; when retrieving data asset maps, the background makes recommendations based on event associations.

9. A data modeling device for turbine events, characterized in that: The device comprises: Memory, used to store programs; A processor, configured to execute the program stored in the memory; when the program stored in the memory is executed, the processor is configured to execute the steps of the method as claimed in any one of claims 1 to 6.

10. A storage medium storing computer-readable instructions, wherein when the computer-readable instructions are executed by one or more processors, the one or more processors are caused to perform the steps of the method according to any one of claims 1 to 6.

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