Data management method and device, terminal equipment and storage medium

Abstract

The invention discloses a data management method and device, terminal equipment and a storage medium, and the method comprises the steps: collecting to-be-processed power plant data in real time; processing the to-be-processed power plant data by adopting a preset grading rule, and determining hierarchical information of the to-be-processed power plant data; wherein the preset grading rule considers a connection relationship and an affiliation relationship between data; updating a multi-level power plant data model according to the level information and the to-be-processed power plant data; wherein the multi-level power plant data model is constructed according to a preset grading rule and initial power plant data. By implementing the method and the device, the intuition of data management and the convenience of data updating can be improved.

Description

Technical Field

[0001] The present invention relates to the field of data management technology, and in particular to a data management method, device, terminal equipment and storage medium. Background Art

[0002] In the current management of power plant data, the paper data of power plants is managed by manually collecting various data, documents and drawings. This management method is cumbersome and consumes a lot of human resources. With the introduction of digital twin technology, the management of power plant data based on digital twin technology is now the mainstream trend; the existing digital twin technology obtains paper data of power plants, stores it in the digital twin platform for electronic management after intelligent identification, and replaces traditional manual management with electronic management. However, this electronic management method is difficult to intuitively present the relationship between data, and there are difficulties in processing data updates. Summary of the invention

[0003] The embodiments of the present invention provide a data management method, apparatus, terminal device and storage medium, which can improve the intuitiveness of data management and the convenience of data updating.

[0004] An embodiment of the present invention provides a data management method, including:

[0005] Real-time collection of power plant data to be processed;

[0006] The power plant data to be processed are processed using a preset classification rule to determine the hierarchical information of the power plant data to be processed; wherein the preset classification rule takes into account the connection relationship and the subordinate relationship between the data;

[0007] The multi-level power plant data model is updated according to the level information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to preset grading rules and initial power plant data.

[0008] Furthermore, the preset classification rules include: a subordination relationship classification rule and a connection relationship classification rule;

[0009] The subordination division rules are divided according to the spatial layout, system type and functional modules;

[0010] The connection relationship division rule extracts connection attribute information from the data processed by the subordinate relationship division rule, and divides the data according to the connection attribute information; wherein the connection attribute information includes a device identifier and connection point coordinates.

[0011] Furthermore, the adopting of a preset classification rule to process the power plant data to be processed to determine the level information of the power plant data to be processed includes:

[0012] Divide the spatial layout of the power plant data to be processed and determine the spatial level of the power plant data to be processed;

[0013] Classify the power plant data to be processed into system types, and determine the system level to which the power plant data to be processed belongs; wherein the system level is below the space level;

[0014] Divide the power plant data to be processed into functional modules and determine the modular level to which the power plant data to be processed belongs; wherein the modular level is below the system level;

[0015] Extract connection attribute information of power plant data to be processed;

[0016] The hierarchical information of the power plant data to be processed is determined according to the spatial hierarchy, system hierarchy, modular hierarchy and connection attribute information of the power plant data to be processed.

[0017] Furthermore, the construction of the multi-level power plant data model includes:

[0018] Obtain some initial power plant data;

[0019] For each initial power plant data, a preset classification rule is used for processing to obtain the hierarchical information of each initial power plant data;

[0020] A multi-level power plant data model is constructed based on the hierarchical information of each initial power plant data.

[0021] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0022] An embodiment of the present invention provides a data management device, including: a data acquisition module, a data division module and a data update module;

[0023] The data acquisition module is used to collect the power plant data to be processed in real time;

[0024] The data partitioning module is used to process the power plant data to be processed using a preset classification rule to determine the hierarchical information of the power plant data to be processed; wherein the preset classification rule takes into account the connection relationship and the subordinate relationship between the data;

[0025] The data updating module is used to update the multi-level power plant data model according to the level information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to preset grading rules and initial power plant data.

[0026] Furthermore, the preset classification rules include: a subordination relationship classification rule and a connection relationship classification rule;

[0027] The subordination division rules are divided according to the spatial layout, system type and functional modules;

[0028] The connection relationship division rule extracts connection attribute information from the data processed by the subordinate relationship division rule, and divides the data according to the connection attribute information; wherein the connection attribute information includes a device identifier and connection point coordinates.

[0029] Furthermore, the adopting of a preset classification rule to process the power plant data to be processed to determine the level information of the power plant data to be processed includes:

[0030] Divide the spatial layout of the power plant data to be processed and determine the spatial level of the power plant data to be processed;

[0031] Classify the power plant data to be processed into system types, and determine the system level to which the power plant data to be processed belongs; wherein the system level is below the space level;

[0032] Divide the power plant data to be processed into functional modules and determine the modular level to which the power plant data to be processed belongs; wherein the modular level is below the system level;

[0033] Extract connection attribute information of power plant data to be processed;

[0034] The hierarchical information of the power plant data to be processed is determined according to the spatial hierarchy, system hierarchy, modular hierarchy and connection attribute information of the power plant data to be processed.

[0035] Furthermore, the construction of the multi-level power plant data model includes:

[0036] Obtain some initial power plant data;

[0037] For each initial power plant data, a preset classification rule is used for processing to obtain the hierarchical information of each initial power plant data;

[0038] A multi-level power plant data model is constructed based on the hierarchical information of each initial power plant data.

[0039] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, a data management method described in the above embodiment of the invention is implemented.

[0040] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a data management method described in the above-mentioned embodiment of the invention.

[0041] The following beneficial effects are achieved by implementing the present invention:

[0042] The present invention provides a data management method, device, terminal equipment and storage medium. The data management method collects the power plant data to be processed in real time, processes the power plant data to be processed according to the preset hierarchical rules that take into account the connection relationship and subordinate relationship between the data, determines the hierarchical information of the power plant data to be processed, and then updates the multi-level power plant data model according to the determined hierarchical information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to the preset hierarchical rules and the initial power plant data. The preset hierarchical rules enable the power plant data to be hierarchically managed in the multi-level power plant data model, so that the data structure hierarchy is clear and the intuitiveness of the data presentation is improved; further, by collecting the power plant data to be processed in real time and updating the multi-level power plant data model, the data is automatically iterated and updated, which improves the convenience of data updating. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flowchart of a data management method provided by an embodiment of the present invention.

[0044] Figure 2 It is a structural diagram of a data management device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] like Figure 1 As shown, a data management method provided by an embodiment of the present invention includes:

[0047] Step S1: real-time collection of power plant data to be processed;

[0048] Step S2: Processing the power plant data to be processed using a preset classification rule to determine the hierarchical information of the power plant data to be processed; wherein the preset classification rule takes into account the connection relationship and the subordinate relationship between the data;

[0049] Step S3: updating a multi-level power plant data model according to the level information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to preset grading rules and initial power plant data.

[0050] For step S1, real-time collection of power plant data to be processed, the power plant data to be processed may be power plant data uploaded by a user through a digital twin cloud platform associated with the power plant, or may be status data and operation data generated during the operation of the power plant collected in real time through a digital twin cloud platform associated with the power plant. Preferably, the status data and operation data of various components of the power plant, such as various devices and components, may be collected in real time through a real-time monitoring system associated with an IoT sensor and a digital twin cloud platform.

[0051] In step S2, the power plant data to be processed are processed according to preset classification rules to determine the level information of the power plant data to be processed.

[0052] In a preferred embodiment, the preset classification rules include: subordinate relationship division rules and connection relationship division rules; the subordinate relationship division rules are divided according to spatial layout, system type and functional modules; the connection relationship division rules extract connection attribute information from the data processed by the subordinate relationship division rules, and divide the data according to the connection attribute information; wherein the connection attribute information includes a device identifier and a connection point coordinate.

[0053] Specifically, the preset classification rules include subordinate relationship classification rules and connection relationship classification rules; for any data to which the preset classification rules are applied, its spatial layout, system type and functional module relationship must be determined according to the subordinate relationship classification rules, and then its connection attribute information must be further determined according to the connection relationship classification rules. The connection attribute information mainly includes device identification and connection point coordinates. Preferably, it may also include material attributes, etc.

[0054] In a preferred embodiment, the preset grading rules are used to process the power plant data to be processed and determine the hierarchical information of the power plant data to be processed, including: dividing the power plant data to be processed by spatial layout to determine the spatial hierarchy of the power plant data to be processed; dividing the power plant data to be processed by system type to determine the system hierarchy to which the power plant data to be processed belongs; wherein the system hierarchy is below the spatial hierarchy; dividing the power plant data to be processed by functional modules to determine the modular hierarchy to which the power plant data to be processed belongs; wherein the modular hierarchy is below the system hierarchy; extracting connection attribute information of the power plant data to be processed; and determining the hierarchical information of the power plant data to be processed based on the spatial hierarchy, system hierarchy, modular hierarchy and connection attribute information of the power plant data to be processed.

[0055] Specifically, when the power plant data to be processed is processed by using the preset classification rules, the power plant data to be processed is first divided into spatial layouts, and the spatial level to which the power plant data to be processed belongs is determined by the spatial layout division; the spatial level can be the affiliated plant area, workshop or floor. Secondly, the power plant data to be processed is divided into system types to determine the system level to which the power plant data to be processed belongs, and the system level can be an electrical system, a thermal system or a water treatment system, etc. The power plant data to be processed is divided into functional modules to determine the modular level to which the power plant data to be processed belongs, and the modular level can be each functional module under each system. It should be emphasized that the spatial level is higher than the system level, and the system level is higher than the modular level. Preferably, it can be further divided according to the items to which it belongs under each functional module, such as equipment, pipelines, valves, etc., so as to further refine the division results. The power plant data to be processed after the above division is extracted for connection attribute information to obtain the connection attribute information of the power plant data to be processed, such as device identifiers, connection point coordinates, material properties, etc. After the above processing, the hierarchical information of the power plant data to be processed can be determined according to the spatial level, system level, modular level and connection attribute information of the power plant data to be processed. This hierarchical classification method helps to establish a clear data structure and facilitates the determination of the position of the power plant data to be processed in the multi-level power plant data model.

[0056] For example, assuming that the power plant data to be processed is the generator equipment B belonging to the power generation module under the power system under workshop A, and the connection point coordinates are (x1, y1, z1), the power plant data to be processed is processed according to the preset hierarchical rules, and its hierarchical information can be determined as follows: workshop A-power system-power generation function module-generator equipment, the equipment identifier is generator equipment B, and the connection point coordinates are (x1, y1, z1).

[0057] For step S3, the specific position of the power plant data to be processed in the multi-level power plant data model is determined according to the hierarchical information, and the data at the corresponding position in the multi-level power plant data model is updated with the power plant data to be processed. Preferably, in order to save computing resources, the specific position of the power plant data to be processed in the multi-level power plant data model is determined according to the hierarchical information of the power plant data to be processed, and then the data is compared to see whether it has changed. If it has changed, the data at the corresponding position in the multi-level power plant data model is replaced according to the changed data.

[0058] Exemplarily, based on the above assumptions, according to the hierarchical information workshop A-power system-power generation function module-generator equipment, the device identifier and connection point coordinates corresponding to the equipment at the same position as the hierarchical information in the multi-level power plant data model are found. Assuming that the corresponding device identifier is generator equipment B, and the connection point coordinates are (x2, y2, z2), the connection point coordinates of generator equipment B are updated with the connection point coordinates (x1, y1, z1).

[0059] In a preferred embodiment, the construction of the multi-level power plant data model includes: obtaining a number of initial power plant data; for each initial power plant data, processing it using a preset classification rule to obtain the hierarchical information of each initial power plant data; and constructing a multi-level power plant data model based on the hierarchical information of each initial power plant data.

[0060] Specifically, the initial power plant data is obtained, including various model data, drawings, documents and structured data throughout the life cycle of the power plant; these data cover information from planning, design, construction to operation and maintenance of the power plant. These initial power plant data are processed by preset hierarchical rules. For the spatial layout relationship, it is determined by analyzing the spatial layout diagram, floor plan and equipment positioning data of the power plant in the initial power plant data. For example, for two devices on the same floor or in adjacent areas, their spatial layout relationship can be determined by analyzing their positioning data, such as spatial coordinates. For system type and modular processing, it is mainly determined by analyzing power plant design documents, functional module diagrams and power plant architecture diagrams. For example, the hierarchical relationship of various modules in a thermal system, such as heaters, coolers, pumps, etc., can be determined by their functional classification and position in the power plant architecture. For the connection relationship between devices, the connection points between devices and the coordinates of each connection point can be identified by analyzing information such as equipment drawings, equipment layout diagrams and equipment installation locations. For example, the pipeline connection between two devices can be determined by identifying the pipeline interface and connection point coordinates in the equipment drawings. In addition, the Internet of Things (IoT) sensor data can also be used to monitor the material flow or energy transfer between devices in real time, so as to dynamically confirm the connection relationship between devices. By processing the initial power plant data, a multi-level power plant data model can be obtained. The construction of the multi-level power plant data model only needs to be constructed in the initial period. For the update management of the data in the multi-level power plant data model, after dividing the power plant data to be processed and determining the hierarchical information according to steps S1-S3, it can be indexed to the corresponding position in the multi-level power plant data model for updating. By constructing a multi-level power plant data model, the hierarchical relationship between data is clear, which is convenient for data management and power plant staff to query relevant data. For some data in the corresponding position that lacks in the multi-level power plant data model, if a new workshop needs to be added to the multi-level power plant model, the power plant staff can be prompted to make manual adjustments through feedback prompt information.

[0061] In addition, in order to make data updates and data additions more standardized, an approval process can be set before data updates or data additions, so that the data that needs to be changed or added can be approved by the power plant staff before being adjusted in the multi-level power plant data model.

[0062] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0063] like Figure 2 As shown, an embodiment of the present invention provides a data management device, including: a data acquisition module, a data division module and a data update module;

[0064] The data acquisition module is used to collect the power plant data to be processed in real time;

[0065] The data partitioning module is used to process the power plant data to be processed using a preset classification rule to determine the hierarchical information of the power plant data to be processed; wherein the preset classification rule takes into account the connection relationship and the subordinate relationship between the data;

[0066] The data updating module is used to update the multi-level power plant data model according to the level information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to preset grading rules and initial power plant data.

[0067] Furthermore, the preset classification rules include: a subordination relationship classification rule and a connection relationship classification rule;

[0068] The subordination division rules are divided according to the spatial layout, system type and functional modules;

[0069] The connection relationship division rule extracts connection attribute information from the data processed by the subordinate relationship division rule, and divides the data according to the connection attribute information; wherein the connection attribute information includes a device identifier and connection point coordinates.

[0070] Furthermore, the adopting of a preset classification rule to process the power plant data to be processed to determine the level information of the power plant data to be processed includes:

[0071] Divide the spatial layout of the power plant data to be processed and determine the spatial level of the power plant data to be processed;

[0072] Classify the power plant data to be processed into system types, and determine the system level to which the power plant data to be processed belongs; wherein the system level is below the space level;

[0073] Divide the power plant data to be processed into functional modules and determine the modular level to which the power plant data to be processed belongs; wherein the modular level is below the system level;

[0074] Extract connection attribute information of power plant data to be processed;

[0075] The hierarchical information of the power plant data to be processed is determined according to the spatial hierarchy, system hierarchy, modular hierarchy and connection attribute information of the power plant data to be processed.

[0076] Furthermore, the construction of the multi-level power plant data model includes:

[0077] Obtain some initial power plant data;

[0078] For each initial power plant data, a preset classification rule is used for processing to obtain the hierarchical information of each initial power plant data;

[0079] A multi-level power plant data model is constructed based on the hierarchical information of each initial power plant data.

[0080] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0081] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0082] Based on the above method item embodiments, the present invention provides corresponding terminal device item embodiments.

[0083] An embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a data management method described in any one of the present invention is implemented.

[0084] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0085] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0086] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Med i aCard, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0087] Based on the above method item embodiments, the present invention provides a corresponding storage medium item embodiment.

[0088] An embodiment of the present invention provides a storage medium, wherein the storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a data management method described in any one of the present inventions.

[0089] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0090] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A data management method, characterized in that: include: Real-time collection of power plant data to be processed; The power plant data to be processed are processed using a preset classification rule to determine the hierarchical information of the power plant data to be processed; wherein the preset classification rule takes into account the connection relationship and the subordinate relationship between the data; The multi-level power plant data model is updated according to the level information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to preset grading rules and initial power plant data.

2. A data management method as claimed in claim 1, characterized in that: The preset classification rules include: a subordination relationship classification rule and a connection relationship classification rule; The subordination division rules are divided according to the spatial layout, system type and functional modules; The connection relationship division rule extracts connection attribute information from the data processed by the subordinate relationship division rule, and divides the data according to the connection attribute information; wherein the connection attribute information includes a device identifier and connection point coordinates.

3. A data management method as claimed in claim 2, characterized in that: The step of processing the power plant data to be processed by using a preset classification rule to determine the level information of the power plant data to be processed includes: Divide the spatial layout of the power plant data to be processed and determine the spatial level of the power plant data to be processed; Classify the power plant data to be processed into system types, and determine the system level to which the power plant data to be processed belongs; wherein the system level is below the space level; Divide the power plant data to be processed into functional modules and determine the modular level to which the power plant data to be processed belongs; wherein the modular level is below the system level; Extract connection attribute information of power plant data to be processed; The hierarchical information of the power plant data to be processed is determined according to the spatial hierarchy, system hierarchy, modular hierarchy and connection attribute information of the power plant data to be processed.

4. A data management method as claimed in claim 3, characterized in that: The construction of the multi-level power plant data model includes: Obtain some initial power plant data; For each initial power plant data, a preset classification rule is used for processing to obtain the hierarchical information of each initial power plant data; A multi-level power plant data model is constructed based on the hierarchical information of each initial power plant data.

5. A data management device, characterized in that: include: Data collection module, data partitioning module and data updating module; The data acquisition module is used to collect the power plant data to be processed in real time; The data partitioning module is used to process the power plant data to be processed using a preset classification rule to determine the hierarchical information of the power plant data to be processed; wherein the preset classification rule takes into account the connection relationship and the subordinate relationship between the data; The data updating module is used to update the multi-level power plant data model according to the level information and the power plant data to be processed; wherein the multi-level power plant data model is constructed according to preset grading rules and initial power plant data.

6. A data management device as claimed in claim 5, characterized in that: The preset classification rules include: a subordination relationship classification rule and a connection relationship classification rule; The subordination division rules are divided according to the spatial layout, system type and functional modules; The connection relationship division rule extracts connection attribute information from the data processed by the subordinate relationship division rule, and divides the data according to the connection attribute information; wherein the connection attribute information includes a device identifier and connection point coordinates.

7. A data management device as claimed in claim 6, characterized in that: The step of processing the power plant data to be processed by using a preset classification rule to determine the level information of the power plant data to be processed includes: Divide the spatial layout of the power plant data to be processed and determine the spatial level of the power plant data to be processed; Classify the power plant data to be processed into system types, and determine the system level to which the power plant data to be processed belongs; wherein the system level is below the space level; Divide the power plant data to be processed into functional modules and determine the modular level to which the power plant data to be processed belongs; wherein the modular level is below the system level; Extract connection attribute information of power plant data to be processed; The hierarchical information of the power plant data to be processed is determined according to the spatial hierarchy, system hierarchy, modular hierarchy and connection attribute information of the power plant data to be processed.

8. A data management device as claimed in claim 7, characterized in that: The construction of the multi-level power plant data model includes: Obtain some initial power plant data; For each initial power plant data, a preset classification rule is used for processing to obtain the hierarchical information of each initial power plant data; A multi-level power plant data model is constructed based on the hierarchical information of each initial power plant data.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements a data management method as claimed in any one of claims 1 to 4 when executing the computer program.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a data management method as claimed in any one of claims 1 to 4.

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