A power transmission and transformation equipment internet of things data graph construction method and system

Abstract

The application relates to the technical field of data management, and provides a power transmission and transformation equipment Internet of Things data graph construction method and system.The method comprises the following steps: constructing a data storage layer, the data storage layer comprising a first storage area and a second storage area; performing first classification and second classification on power transmission and transformation equipment Internet of Things data; encapsulating data from each source into a first data packet and a second data packet respectively according to the variability of the data, and storing the first data packet in the second storage area and the second data packet in the first storage area; performing one-to-one corresponding association of the first data packet in the second storage area and the second data packet in the first storage area according to the source of the data; constructing an interface layer, the interface layer comprising icons corresponding to the sources of the data; and performing data binding of each icon and the first data packet from the corresponding source.The application can facilitate quick and intuitive viewing of power transmission and transformation equipment Internet of Things data, and is beneficial to the management and monitoring of power transmission and transformation equipment Internet of Things data.

Description

Technical Field

[0001] This invention relates to the field of data management technology, specifically to a method and system for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment. Background Technology

[0002] The Internet of Things (IoT) for power transmission and transformation equipment is a core component of the smart grid. Through IoT technology, it enables the perception of the status of power transmission and transformation equipment, data interconnection, and intelligent decision-making, providing key support for building a new power system.

[0003] Internet of Things (IoT) data for power transmission and transformation equipment refers to various types of information related to power transmission and transformation equipment collected through IoT technology. Due to the large number of IoT nodes and the complex structure of power transmission and transformation equipment, the data volume is large, the relationships between different data points are unclear, and much of the data is updated in real time. This makes it difficult for staff to view the data at the data monitoring terminal, and the data loading speed is also slow, which is detrimental to the management and monitoring of IoT data for power transmission and transformation equipment. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method and system for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment. This facilitates quick and intuitive viewing of IoT data from power transmission and transformation equipment, and is beneficial for the management and monitoring of such data.

[0005] The technical solution adopted in this invention is as follows: A method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment includes the following steps: constructing a data storage layer, the data storage layer including a primary storage area and a secondary storage area; classifying the IoT data of power transmission and transformation equipment according to the data source in a primary manner, and classifying the IoT data of power transmission and transformation equipment according to the data variability in a secondary manner; encapsulating the data from each source into a first data packet and a second data packet according to the data variability, storing all the first data packets in the secondary storage area and storing all the second data packets in the primary storage area, wherein the data in the first data packets is static data and the data in the second data packets is dynamic data; associating the first data packets in the secondary storage area with the second data packets in the primary storage area according to the data source; constructing an interface layer, the interface layer including icons corresponding to the data sources; and binding each icon with the first data packet of the corresponding source.

[0006] The IoT data of power transmission and transformation equipment is classified into primary categories based on its source and secondary categories based on its variability. Specifically, the primary categories are divided into data for each region, data for each device, and data for each interaction channel. The secondary categories are divided into static data and dynamic data for each region, static data and dynamic data for each device, and static data and dynamic data for each interaction channel.

[0007] Based on the variability of the data, the data from each source is encapsulated into a first data packet and a second data packet, specifically including: encapsulating the static data of each region, the static data of each device, and the static data of each interaction channel into a first data packet; and encapsulating the dynamic data of each region, the dynamic data of each device, and the dynamic data of each interaction channel into a second data packet.

[0008] The first data packet of the secondary storage area is associated with the second data packet of the primary storage area according to the source of the data. Specifically, this includes: associating the first data packet of static data of a certain area of ​​the secondary storage area with the second data packet of dynamic data of the same area of ​​the primary storage area; associating the first data packet of static data of a certain device in the secondary storage area with the second data packet of dynamic data of the same device in the primary storage area; and associating the first data packet of static data of a certain interaction channel in the secondary storage area with the second data packet of dynamic data of the same interaction channel in the primary storage area.

[0009] The interface layer includes block icons corresponding to each region, dot icons corresponding to each device, and line icons corresponding to each interaction channel. If a device is located in a region, the dot icon corresponding to that device is located within the block icon corresponding to that region. If there is an interaction channel between two devices, the line icon corresponding to that interaction channel connects the dot icons corresponding to the two devices.

[0010] A data mapping system for the Internet of Things (IoT) of power transmission and transformation equipment includes: a first construction module for constructing a data storage layer, the data storage layer including a primary storage area and a secondary storage area; a classification module for performing primary classification of the IoT data of the power transmission and transformation equipment according to the source of the data, and secondary classification of the IoT data of the power transmission and transformation equipment according to the variability of the data; an encapsulation and storage module for encapsulating data from each source into a first data packet and a second data packet according to the variability of the data, storing all the first data packets in the secondary storage area, and storing all the second data packets in the primary storage area, wherein the data in the first data packets is static data, and the data in the second data packets is dynamic data; an association module for associating the first data packets in the secondary storage area with the second data packets in the primary storage area according to the source of the data; a second construction module for constructing an interface layer, the interface layer including icons corresponding to the source of the data; and a binding module for binding each icon with the first data packet of the corresponding source.

[0011] The classification module is specifically used to: classify the IoT data of power transmission and transformation equipment into data for each region, data for each device, and data for each interaction channel through primary classification; classify the data for each region into static data and dynamic data for each region through secondary classification, classify the data for each device into static data and dynamic data for each device, and classify the data for each interaction channel into static data and dynamic data for each interaction channel.

[0012] The encapsulation and storage module is specifically used to: encapsulate the static data of each region, the static data of each device, and the static data of each interaction channel into a first data packet; and encapsulate the dynamic data of each region, the dynamic data of each device, and the dynamic data of each interaction channel into a second data packet.

[0013] The association module is specifically used to: associate a first data packet of static data in a certain area of ​​the secondary storage area with a second data packet of dynamic data in the same area of ​​the primary storage area; associate a first data packet of static data in a certain device in the secondary storage area with a second data packet of dynamic data in the same device in the primary storage area; and associate a first data packet of static data in a certain interaction channel of the secondary storage area with a second data packet of dynamic data in the same interaction channel of the primary storage area.

[0014] The interface layer includes block icons corresponding to each region, dot icons corresponding to each device, and line icons corresponding to each interaction channel. If a device is located in a region, the dot icon corresponding to that device is located within the block icon corresponding to that region. If there is an interaction channel between two devices, the line icon corresponding to that interaction channel connects the dot icons corresponding to the two devices.

[0015] The beneficial effects of this invention are: This invention utilizes multi-level storage and classification of IoT data from power transmission and transformation equipment, packages static and dynamic data separately, and establishes corresponding icon interfaces. When data is read via icons, static data can be read directly, which in turn drives the reading of dynamic data. This reduces the resource and time consumption of the interface layer for data reading and display. Furthermore, the use of highly visual icons to trigger data display makes the operation convenient, fast, and intuitive, facilitating the management and monitoring of IoT data from power transmission and transformation equipment. Attached Figure Description

[0016] Figure 1 This is a flowchart of the method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment according to an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating data classification, encapsulation, and storage according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the interface layer according to an embodiment of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, the method for constructing an Internet of Things (IoT) data map of power transmission and transformation equipment according to an embodiment of the present invention includes the following steps:

[0019] S1, construct the data storage layer, which includes a primary storage area and a secondary storage area.

[0020] The core structure of the Internet of Things (IoT) data map for power transmission and transformation equipment to be constructed in this embodiment of the invention includes a data storage layer and an interface layer. The data storage layer is used to store data, and the interface layer can retrieve and display data from the data storage layer.

[0021] In embodiments of the present invention, the primary storage area is characterized by large capacity and slow read / write speed, while the secondary storage area is characterized by small capacity and fast read / write speed.

[0022] S2. Classify the IoT data of power transmission and transformation equipment according to the source of the data, and classify the IoT data of power transmission and transformation equipment according to the variability of the data.

[0023] In embodiments of the present invention, the data source refers to the object targeted by the Internet of Things (IoT) data of power transmission and transformation equipment. The data sources are mainly divided into three types—region, device, and interaction channel. Each region, each device, and each interaction channel represents a source. Data variability refers to whether the data changes over time. Unchanging data can be called static data, while variable data can be called dynamic data.

[0024] Based on primary classification, IoT data for power transmission and transformation equipment can be divided into data for each region, data for each device, and data for each interaction channel. Data for a specific region includes all data obtained for that region. For example, data for substation A includes its code, address, monitoring data and analysis results, environmental data such as temperature and humidity, and their analysis results. Data for a specific device includes all data obtained for that device. For example, data for device a includes its number, installation location, electrical parameters, and mechanical status parameters. Data for a specific interaction channel includes all data obtained for that interaction channel. For example, data for interaction channel 1 includes the number of the interaction object, the location of the interaction object, and the interaction content of interaction channel 1.

[0025] Furthermore, through secondary classification, the data for each region can be divided into static data and dynamic data for that region; the data for each device can be divided into static data and dynamic data for that device; and the data for each interaction channel can be divided into static data and dynamic data for that interaction channel. Specifically, the static data for each region refers to its own information such as the region's code and address; the dynamic data for each region refers to the region's environmental data, such as monitoring data, temperature and humidity data, and analysis results. The static data for each device refers to its own information such as its number and installation location; the dynamic data for each device refers to its operating parameters such as electrical parameters and mechanical status parameters. The static data for each interaction channel refers to the interaction object's information such as its number and location; and the dynamic data for each interaction channel refers to the interaction content and information transmission rate.

[0026] S3, based on the variability of the data, encapsulate the data from each source into a first data packet and a second data packet respectively, and store all the first data packets in the secondary storage area and store all the second data packets in the primary storage area. The data in the first data packet is static data, and the data in the second data packet is dynamic data.

[0027] Specifically, such as Figure 2 As shown, the static data of each region, the static data of each device, and the static data of each interaction channel can be encapsulated into a first data packet and stored in the second-level storage area. The dynamic data of each region, the dynamic data of each device, and the dynamic data of each interaction channel can be encapsulated into a second data packet and stored in the first-level storage area.

[0028] S4, associate the first data packet of the secondary storage area with the second data packet of the primary storage area according to the source of the data.

[0029] Specifically, a first data packet of static data from a certain area in the secondary storage area can be associated with a second data packet of dynamic data from the same area in the primary storage area; a first data packet of static data from a certain device in the secondary storage area can be associated with a second data packet of dynamic data from the same device in the primary storage area; and a first data packet of static data from a certain interaction channel in the secondary storage area can be associated with a second data packet of dynamic data from the same interaction channel in the primary storage area. Taking substation A as an example, the first data packet of substation A in the secondary storage area can be associated with the second data packet of substation A in the primary storage area.

[0030] In embodiments of the present invention, the association of data packets in the two-level storage areas refers to the ability to read a data packet and its associated data packets based on a read instruction. In a specific embodiment, each second data packet and its associated data packet can be assigned the same ID, and a cache can be set up in the secondary storage area. During the reading of the first data packet, the associated second data packet can be written from the primary storage area to the cache in the secondary storage area according to its ID, and after the writing is complete, the second data packet in the cache can be read. This significantly improves the speed of final data display.

[0031] S5, build the interface layer, which includes icons corresponding to the source of the data.

[0032] like Figure 3 As shown, the interface layer includes block icons corresponding to each area, dot icons corresponding to each device, and line icons corresponding to each interaction channel. If a device is located in an area, the dot icon corresponding to that device is located within the block icon corresponding to that area. If there is an interaction channel between two devices, the line icon corresponding to that interaction channel connects the dot icons corresponding to the two devices.

[0033] S6 binds each icon to the first data packet from the corresponding source.

[0034] In this embodiment of the invention, data binding refers to establishing an interactive association between an icon and its corresponding first data packet. When an operation event of the icon is detected, such as clicking, hovering, or selecting, the data in the first data packet can be read and displayed. Furthermore, based on the association in step S4, the data in the corresponding second data packet can also be read and displayed. For example, if the icon of device a in substation A is data-bound to the first data packet of device a, then after clicking the icon of device a, the first and second data packets of device a can be read, and the device's own information data such as its number and installation location, as well as its operating parameters such as electrical parameters and mechanical status parameters, can be displayed.

[0035] The method for constructing an IoT data map for power transmission and transformation equipment according to an embodiment of the present invention performs multi-level storage and multi-level classification of IoT data for power transmission and transformation equipment, packages static and dynamic data separately, and establishes an icon interface corresponding to the data. When data is read by triggering the icon, static data can be read directly, and dynamic data can be read in turn. This can reduce the resource and time consumption of the interface layer for data reading and display. Furthermore, the data display is triggered by highly visual icons, making the operation convenient, fast, and intuitive, which is conducive to the management and monitoring of IoT data for power transmission and transformation equipment.

[0036] Corresponding to the above-described method for constructing IoT data maps of power transmission and transformation equipment, this invention also proposes a system for constructing IoT data maps of power transmission and transformation equipment.

[0037] The power transmission and transformation equipment Internet of Things (IoT) data map construction system of this invention includes: a first construction module, a classification module, an encapsulation and storage module, an association module, a second construction module, and a binding module. The first construction module constructs a data storage layer, which includes a primary storage area and a secondary storage area. The classification module performs primary classification of the power transmission and transformation equipment IoT data based on its source and secondary classification based on its variability. The encapsulation and storage module encapsulates data from each source into a first data packet and a second data packet, storing all first data packets in the secondary storage area and all second data packets in the primary storage area. The data in the first data packets is static data, and the data in the second data packets is dynamic data. The association module establishes a one-to-one correspondence between the first data packets in the secondary storage area and the second data packets in the primary storage area based on their source. The second construction module constructs an interface layer, which includes icons corresponding to the data sources. The binding module binds each icon to the corresponding first data packet from its source.

[0038] The core structure of the Internet of Things (IoT) data map for power transmission and transformation equipment to be constructed in this embodiment of the invention includes a data storage layer and an interface layer. The data storage layer is used to store data, and the interface layer can retrieve and display data from the data storage layer.

[0039] In embodiments of the present invention, the primary storage area is characterized by large capacity and slow read / write speed, while the secondary storage area is characterized by small capacity and fast read / write speed.

[0040] In embodiments of the present invention, the data source refers to the object targeted by the Internet of Things (IoT) data of power transmission and transformation equipment. The data sources are mainly divided into three types—region, device, and interaction channel. Each region, each device, and each interaction channel represents a source. Data variability refers to whether the data changes over time. Unchanging data can be called static data, while variable data can be called dynamic data.

[0041] The classification module categorizes IoT data for power transmission and transformation equipment into data for each region, each device, and each interaction channel through primary classification. Data for a specific region includes all data obtained for that region. For example, data for substation A includes its code, address, monitoring data and analysis results, environmental data such as temperature and humidity, and their analysis results. Data for a specific device includes all data obtained for that device. For example, data for device a includes its number, installation location, electrical parameters, and mechanical status parameters. Data for a specific interaction channel includes all data obtained for that channel. For example, data for interaction channel 1 includes the number of the interaction object, the location of the interaction object, and the interaction content of interaction channel 1.

[0042] Furthermore, the classification module uses a two-level classification system to divide the data of each region into static data and dynamic data, the data of each device into static data and dynamic data, and the data of each interaction channel into static data and dynamic data. Specifically, the static data of each region refers to its own information such as region code and address, while the dynamic data refers to the region's environmental data, such as monitoring data, temperature and humidity data, and analysis results. The static data of each device refers to its own information such as device number and installation location, while the dynamic data refers to its operating parameters such as electrical and mechanical parameters. The static data of each interaction channel refers to the interaction object's information such as its number and location, while the dynamic data refers to the interaction content and information transmission rate.

[0043] Specifically, such as Figure 2As shown, the encapsulation storage module can encapsulate the static data of each region, the static data of each device, and the static data of each interaction channel into a first data packet and store them in the second-level storage area. It can also encapsulate the dynamic data of each region, the dynamic data of each device, and the dynamic data of each interaction channel into a second data packet and store them in the first-level storage area.

[0044] Specifically, the association module can associate a first data packet of static data from a certain area in the secondary storage area with a second data packet of dynamic data from the same area in the primary storage area; associate a first data packet of static data from a certain device in the secondary storage area with a second data packet of dynamic data from the same device in the primary storage area; and associate a first data packet of static data from a certain interaction channel in the secondary storage area with a second data packet of dynamic data from the same interaction channel in the primary storage area. Taking substation A as an example, it can associate the first data packet of substation A in the secondary storage area with the second data packet of substation A in the primary storage area.

[0045] In embodiments of the present invention, the association of data packets in the two-level storage areas refers to the ability to read a data packet and its associated data packets based on a read instruction. In a specific embodiment of the present invention, the association module can assign the same ID to each second data packet and its associated data packet, and can set up a cache in the secondary storage area. During the reading of the first data packet, the associated second data packet can be written from the primary storage area to the cache in the secondary storage area according to its ID, and after the writing is completed, the second data packet in the cache can be read. This significantly improves the speed of final data display.

[0046] like Figure 3 As shown, the interface layer includes block icons corresponding to each area, dot icons corresponding to each device, and line icons corresponding to each interaction channel. If a device is located in an area, the dot icon corresponding to that device is located within the block icon corresponding to that area. If there is an interaction channel between two devices, the line icon corresponding to that interaction channel connects the dot icons corresponding to the two devices.

[0047] In this embodiment of the invention, data binding refers to establishing an interactive association between an icon and its corresponding first data packet. When an operation event of the icon is detected, such as clicking, hovering, or selecting, the data in the first data packet can be read and displayed. Furthermore, based on the association in step S4, the data in the corresponding second data packet can also be read and displayed. For example, if the icon of device a in substation A is data-bound to the first data packet of device a, then after clicking the icon of device a, the first and second data packets of device a can be read, and the device's own information data such as its number and installation location, as well as its operating parameters such as electrical parameters and mechanical status parameters, can be displayed.

[0048] The IoT data map construction system for power transmission and transformation equipment according to an embodiment of the present invention performs multi-level storage and multi-level classification of IoT data for power transmission and transformation equipment, packages static and dynamic data separately, and establishes an icon interface corresponding to the data. When data is read by triggering the icon, static data can be read directly, and dynamic data can be read in turn. This can reduce the resource and time consumption of the interface layer for data reading and display. Furthermore, the data display is triggered by highly visual icons, making the operation convenient, fast, and intuitive, which is conducive to the management and monitoring of IoT data for power transmission and transformation equipment.

[0049] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. "A plurality of" means two or more, unless otherwise explicitly specified.

[0050] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0051] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0052] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0053] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0054] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0055] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0056] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0057] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0058] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment, characterized in that, Includes the following steps: A data storage layer is constructed, which includes a primary storage area and a secondary storage area; The IoT data of power transmission and transformation equipment is classified into primary categories based on the source of the data, and then classified into secondary categories based on the variability of the data. Based on the variability of the data, the data from each source is encapsulated into a first data packet and a second data packet, and all the first data packets are stored in the second-level storage area, and all the second data packets are stored in the first-level storage area. The data in the first data packet is static data, and the data in the second data packet is dynamic data. The first data packet in the secondary storage area is associated with the second data packet in the primary storage area in a one-to-one correspondence according to the source of the data. Construct a user interface layer, which includes icons corresponding to the source of the data; Each icon is data-bound to the first data packet from the corresponding source.

2. The method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment according to claim 1, characterized in that, The IoT data of power transmission and transformation equipment is classified into two primary categories based on its source and secondary categories based on its variability. Specifically, these categories include: The IoT data for power transmission and transformation equipment is divided into data for each region, data for each device, and data for each interaction channel through primary classification. The data for each region is divided into static data and dynamic data using a two-level classification system. The data for each device is also divided into static data and dynamic data. Finally, the data for each interaction channel is divided into static data and dynamic data.

3. The method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment according to claim 2, characterized in that, Based on the variability of the data, the data from each source is encapsulated into a first data packet and a second data packet, specifically including: The static data of each region, the static data of each device, and the static data of each interaction channel are each encapsulated into a first data packet; The dynamic data of each region, the dynamic data of each device, and the dynamic data of each interaction channel are encapsulated into a second data packet.

4. The method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment according to claim 3, characterized in that, The first data packet in the secondary storage area is associated with the second data packet in the primary storage area in a one-to-one correspondence based on the data source, specifically including: Associate a first data packet of static data in a certain area of ​​the secondary storage area with a second data packet of dynamic data in the same area of ​​the primary storage area; Associate a first data packet of static data of a device in the secondary storage area with a second data packet of dynamic data of the same device in the primary storage area; Associate a first data packet of static data from a certain interaction channel in the secondary storage area with a second data packet of dynamic data from the same interaction channel in the primary storage area.

5. The method for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment according to claim 4, characterized in that, The interface layer includes block icons corresponding to each region, dot icons corresponding to each device, and line icons corresponding to each interaction channel. If a device is located in a region, the dot icon corresponding to that device is located within the block icon corresponding to that region. If there is an interaction channel between two devices, the line icon corresponding to that interaction channel connects the dot icons corresponding to the two devices.

6. A system for constructing an Internet of Things (IoT) data map for power transmission and transformation equipment, characterized in that, include: A first construction module is used to construct a data storage layer, which includes a primary storage area and a secondary storage area. The classification module is used to perform primary classification of IoT data for power transmission and transformation equipment based on the source of the data, and secondary classification of IoT data for power transmission and transformation equipment based on the variability of the data. An encapsulation storage module is used to encapsulate data from each source into a first data packet and a second data packet according to the variability of the data, and store all the first data packets in the second-level storage area and all the second data packets in the first-level storage area, wherein the data in the first data packet is static data and the data in the second data packet is dynamic data; The association module is used to associate the first data packet of the secondary storage area with the second data packet of the primary storage area in a one-to-one correspondence according to the source of the data. The second building module is used to build the interface layer, which includes icons corresponding to the source of the data; A binding module is used to bind each icon to a first data packet from a corresponding source.

7. The Internet of Things (IoT) data map construction system for power transmission and transformation equipment according to claim 6, characterized in that, The classification module is specifically used for: The IoT data for power transmission and transformation equipment is divided into data for each region, data for each device, and data for each interaction channel through primary classification. The data for each region is divided into static data and dynamic data using a two-level classification system. The data for each device is also divided into static data and dynamic data. Finally, the data for each interaction channel is divided into static data and dynamic data.

8. The Internet of Things (IoT) data map construction system for power transmission and transformation equipment according to claim 7, characterized in that, The encapsulated storage module is specifically used for: The static data of each region, the static data of each device, and the static data of each interaction channel are each encapsulated into a first data packet; The dynamic data of each region, the dynamic data of each device, and the dynamic data of each interaction channel are encapsulated into a second data packet.

9. The Internet of Things (IoT) data map construction system for power transmission and transformation equipment according to claim 8, characterized in that, The association module is specifically used for: Associate a first data packet of static data in a certain area of ​​the secondary storage area with a second data packet of dynamic data in the same area of ​​the primary storage area; Associate a first data packet of static data of a device in the secondary storage area with a second data packet of dynamic data of the same device in the primary storage area; Associate a first data packet of static data from a certain interaction channel in the secondary storage area with a second data packet of dynamic data from the same interaction channel in the primary storage area.

10. The Internet of Things data map construction system for power transmission and transformation equipment according to claim 9, characterized in that, The interface layer includes block icons corresponding to each region, dot icons corresponding to each device, and line icons corresponding to each interaction channel. If a device is located in a region, the dot icon corresponding to that device is located within the block icon corresponding to that region. If there is an interaction channel between two devices, the line icon corresponding to that interaction channel connects the dot icons corresponding to the two devices.

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