Three-dimensional data acquisition system, device and equipment for rural smart energy area and storage medium

Abstract

The invention provides a three-dimensional data acquisition system, device and equipment for a rural smart energy area and a storage medium. The system comprises a data classification module, a data loading model and a data acquisition guide module. The data classification module classifies the collected data according to energy use types to obtain classified energy data; the data loading model distributes a corresponding data acquisition model for each type of energy data, the data acquisition model is used for generating a basic data acquisition guide, and the basic data acquisition guide at least comprises a guide step required for completing data acquisition and a data acquisition item completed under the guide step; each data acquisition item comprises one or two or more energy data acquisition settings; setting an approval node for a data acquisition item of a basic data acquisition guide according to a received data acquisition request, and modifying the basic data acquisition guide through the data loading model to generate a target data acquisition guide, the target data acquisition guide being used for guiding data acquisition according to a guiding step, and after the approval node of the current guiding step passes the approval, the next guiding step is carried out until the guiding data acquisition is completed. According to the invention, efficient and accurate collection and management of rural smart energy area data can be realized, the accuracy of data collection and the convenience of operation are improved, and the compliance and security of a data collection process are ensured.

Description

Technical Field

[0001] The present invention relates to the field of data acquisition technology, and more specifically, to a three-dimensional data acquisition system, device, equipment and storage medium for rural smart energy areas. Background Art

[0002] Under the existing technical background, 3D data acquisition systems play an important role in realizing data management in rural smart energy areas. These systems can efficiently obtain 3D shape information of objects through high-precision measurement technologies such as laser scanning, structured light scanning, photogrammetry and radar ranging, and are widely used in many fields such as construction, manufacturing, and cultural heritage protection. Especially in rural areas, with the advancement of digital transformation, 3D data acquisition technology provides rich data services and application scenarios in agricultural production, energy monitoring, and convenient services.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: Although three-dimensional data acquisition technology can provide rich spatial information in theory, in practical applications, especially in rural smart energy areas, it may face problems with data acquisition efficiency and accuracy, as well as difficulties in post-processing and analysis of data. In addition, the high cost of data acquisition equipment and the requirements for professional technology may also limit the widespread application of these technologies. Summary of the invention

[0004] The present invention provides a three-dimensional data acquisition system, device, equipment and storage medium for rural smart energy areas.

[0005] In a first aspect of the present invention, a three-dimensional data acquisition system for a rural smart energy area is provided, comprising:

[0006] Data classification module, data loading model, data collection wizard module;

[0007] The data classification module classifies the collected data according to the energy usage type to obtain classified energy data;

[0008] The data loading model allocates a corresponding data collection model to each type of energy data, and the data collection model is used to generate a basic data collection wizard, and the basic data collection wizard at least includes the guide steps required to complete the data collection and the data collection items completed under the guide steps, and each of the data collection items includes one or two or more energy data collection settings;

[0009] An approval node is set for the data collection project of the basic data collection wizard according to the received data collection request, and the basic data collection wizard is modified through the data loading model to generate a target data collection wizard. The target data collection wizard is used to guide data collection according to the guided steps. After the approval node of the current guided step is approved, the next guided step is performed until the guided data collection is completed.

[0010] Furthermore, the basic data collection wizard at least includes the guide steps required to complete data collection and the data collection items completed under the guide steps, and the basic data collection wizard also includes: one or a combination of two or more of data fields, data operations and data formats;

[0011] Among them, the data field is used to display the field name, data type and collection format of the data collection item of each guided step, the data operation is used for operations between two or more data fields, and the data format is used for the display format setting of the basic data collection wizard.

[0012] Furthermore, the system also includes: a function of adjusting the approval node of each of the guiding steps in combination with the data collection request and the target data collection wizard.

[0013] Furthermore, before the system sets the approval node for the data collection item of the basic data collection wizard according to the received data collection request, it includes:

[0014] Obtaining the region identification and region collection process corresponding to the data collection request;

[0015] The guiding steps of the basic data collection wizard and the data collection items included in each guiding step are adjusted according to the area identifier and the area collection process, so that the adjusted basic data collection wizard matches the data collection request.

[0016] Furthermore, after the system sets an approval node for the data collection items of the basic data collection wizard according to the received data collection request and generates the target data collection wizard through the data loading model, it also includes: performing a legality check on the guide steps and data collection items of the target data collection wizard according to preset rules;

[0017] When the legality check passes, the target data collection wizard is pushed to the requesting end to which the data collection request belongs;

[0018] When the legality check fails, a failure prompt is pushed to the request end to which the data collection request belongs according to the specific failed list;

[0019] The target data collection guide is redetermined upon receiving an adjustment to the failed list.

[0020] Furthermore, after pushing the target data collection wizard, the system also includes: detecting whether the data collection process is terminated according to the input feedback of the target data collection wizard, and storing the data collection completed by the target data collection wizard when it is not terminated.

[0021] Furthermore, the system further comprises: acquiring received preset feedback information for the target data collection wizard;

[0022] A function of performing a save or cancel operation on the data collection items included in the completed guiding steps is determined according to the preset feedback information.

[0023] In a second aspect of the present invention, a three-dimensional data acquisition device for a rural smart energy area is provided, comprising:

[0024] A data classification module is used to classify the collected data according to the energy usage type to obtain classified energy data;

[0025] An allocation module, used to allocate a corresponding data collection model to each type of energy data, wherein the data collection model is used to generate a basic data collection wizard, wherein the basic data collection wizard at least includes the guide steps required to complete data collection and the data collection items completed under the guide steps, and each data collection item includes one or two or more energy data collection settings;

[0026] The wizard module is used to set approval nodes for the data collection items of the basic data collection wizard according to the received data collection request, and generate a target data collection wizard through the data loading model. The target data collection wizard is used to guide data collection according to the guidance steps. After the approval node of the current guidance step is approved, the next guidance step is performed until the guided data collection is completed.

[0027] In a third aspect of the present invention, an electronic device is provided, comprising: at least one processor, a memory and an input-output unit; wherein the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute any one of the methods described in the first aspect.

[0028] In a fourth aspect of the present invention, a computer-readable storage medium is provided, which includes instructions, and when the instructions are executed on a computer, the computer executes any one of the methods in the first aspect.

[0029] According to the above embodiment of the present invention, at least the following beneficial effects are achieved: the three-dimensional data acquisition system of the present invention can efficiently and accurately classify the collected energy data through an intelligent data classification module, ensuring the orderliness and manageability of the data. Secondly, the data loading model customizes the corresponding acquisition model for different categories of energy data and generates a basic data acquisition wizard, which can not only improve the pertinence of data acquisition, but also ensure the standardization and systematization of the acquisition process, thereby improving the efficiency and quality of the entire data acquisition process. In addition, the system also has a dynamic adjustment function of the approval node, and can flexibly adjust the data acquisition wizard according to the specific content of the data acquisition request to meet specific data acquisition requirements. This flexibility and adaptability are relatively lacking in the prior art, and can improve the practicality and effectiveness of data acquisition. In addition, the system also includes a function of checking the legality of the data acquisition project, which provides a guarantee for the compliance of data acquisition. Through the inspection of preset rules, the system can ensure the legality and accuracy of data acquisition. When the inspection fails, the system will provide a specific failure prompt and allow the data acquisition wizard to be adjusted until the requirements are met. This process can not only ensure the legality and compliance of data acquisition, but also improve the reliability and security of data acquisition. Finally, the system can also detect whether the data collection process is terminated based on the input feedback of the target data collection wizard, and store the completed data collection if it is not terminated, which can further improve the integrity and availability of data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0031] Figure 1 A schematic diagram of the structure of a three-dimensional data acquisition system for rural smart energy areas provided by an embodiment of the present invention;

[0032] Figure 2 A schematic diagram of the structure of a three-dimensional data acquisition device for rural smart energy areas provided by an embodiment of the present invention;

[0033] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0035] Those skilled in the art will appreciate that the embodiments of the present invention may be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention may be implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0036] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0037] Reference below Figure 1 , Figure 1 This is a schematic diagram of the structure of a three-dimensional data acquisition system for rural smart energy areas provided by an embodiment of the present invention. Figure 1 As shown, a three-dimensional data acquisition system 100 for rural smart energy areas includes:

[0038] Data classification module, data loading model, data collection wizard module;

[0039] The data classification module classifies the collected data according to the energy usage type to obtain classified energy data;

[0040] The data loading model allocates a corresponding data collection model to each type of energy data, and the data collection model is used to generate a basic data collection wizard, and the basic data collection wizard at least includes the guide steps required to complete the data collection and the data collection items completed under the guide steps, and each of the data collection items includes one or two or more energy data collection settings;

[0041] An approval node is set for the data collection project of the basic data collection wizard according to the received data collection request, and the basic data collection wizard is modified through the data loading model to generate a target data collection wizard. The target data collection wizard is used to guide data collection according to the guided steps. After the approval node of the current guided step is approved, the next guided step is performed until the guided data collection is completed.

[0042] It should be noted that the data classification module can classify energy according to different dimensions such as source, purpose of use or consumption. The data loading model assigns a preset data collection model to each energy type. These models define specific parameters for data collection, such as collection frequency, accuracy requirements, etc. The data collection wizard module generates operation steps based on these models to guide users to complete data collection, including but not limited to sensor layout, data reading and preliminary processing, etc.

[0043] Preferably, the data collection wizard module can further include a user interaction interface, providing graphical operation instructions and real-time feedback, so that even non-professionals can successfully complete data collection according to the wizard steps. In addition, the approval node can set different approval levels and permissions to ensure that the data collection project meets specific quality standards and safety requirements. More specifically, the system can also dynamically adjust the approval process according to the complexity and importance of data collection to achieve more efficient data processing and response.

[0044] In some embodiments, the basic data collection wizard includes at least the guide steps required to complete data collection and the data collection items completed under the guide steps, and the basic data collection wizard also includes: one or a combination of two or more of data fields, data operations and data formats;

[0045] Among them, the data field is used to display the field name, data type and collection format of the data collection item of each guided step, the data operation is used for operations between two or more data fields, and the data format is used for the display format setting of the basic data collection wizard.

[0046] It should be noted that the basic data collection wizard is designed to provide detailed guidance and specifications for the data collection process to ensure the accuracy and consistency of the data. It not only includes the steps that must be completed, but also covers key elements such as data fields, data operations and data formats to support the comprehensiveness and depth of data collection.

[0047] Specifically, data fields can be defined to include attributes such as field name, data type, and collection format, ensuring that each data collection item has clear identification and requirements. Data operations can be preset mathematical formulas or logical rules used to process and transform collected data fields to meet specific analysis requirements. Data formats involve the way data is presented, such as charts, reports, or lists, so that users can understand and use them easily.

[0048] Preferably, the basic data collection wizard can further include conditional judgment and loop processing functions to adapt to data collection needs in different scenarios. For example, some data fields may only need to be collected when certain conditions are met. More specifically, the data format can support custom templates, allowing users to adjust the display effect of data according to personal preferences or specific needs. In addition, the system can also provide data verification tools to ensure the accuracy of data operations and the integrity of data fields.

[0049] In some embodiments, the system further includes: a function of adjusting the approval node of each of the guiding steps in combination with the data collection request and the target data collection wizard.

[0050] It should be noted that the function of the system is to adjust the approval nodes to adapt to different data collection requests and scenario requirements. This function enhances the flexibility and adaptability of the system and ensures that the data collection process can be optimized according to actual conditions.

[0051] Specifically, approval nodes can be defined as key decision points in the data collection process, which can control the data flow, collection order or collection conditions. Adjusting approval nodes may involve operations such as modifying approval rules, updating permission settings or redefining approval processes. The setting of approval nodes can be determined based on factors such as the importance, urgency and complexity of data collection.

[0052] Preferably, the system can provide a user interface that allows users to adjust approval nodes through graphical operations according to the specific content of the data collection request. For example, users can choose to add, delete or modify approval nodes, or change the logical relationship between approval nodes. More specifically, the system can use a drag-and-drop editing method to enable users to intuitively customize the approval process. In addition, the system can also provide preset approval process templates for users to quickly apply in specific types of data collection projects.

[0053] In some embodiments, before the system sets an approval node for a data collection item of a basic data collection wizard according to a received data collection request, the system includes:

[0054] Obtaining the region identification and region collection process corresponding to the data collection request;

[0055] The guiding steps of the basic data collection wizard and the data collection items included in each guiding step are adjusted according to the area identifier and the area collection process, so that the adjusted basic data collection wizard matches the data collection request.

[0056] It should be noted that, before setting the approval node, the system needs to perform a series of pre-processing steps to ensure that the basic data collection wizard can match the specific data collection request and adapt to the collection needs of the specific area.

[0057] Specifically, obtaining the regional identifier corresponding to the data collection request may include identifying the geographical location of the region, energy characteristics, or user needs. The regional collection process involves the general steps, specific requirements, or operating standards for data collection in the region. The system will adjust the guidance steps and data collection items of the basic data collection wizard based on this information to adapt to the specific needs of different regions. For example, a region may require more frequent data collection frequency, or have higher accuracy requirements for certain specific energy data.

[0058] Preferably, the system can use intelligent algorithms to analyze the region identification and collection process, and automatically recommend or adjust the configuration of the data collection wizard. More specifically, the system can set up a rule engine that contains a series of predefined rules and parameters for automatically adjusting the data collection wizard according to the characteristics of different regions. In addition, the system can also provide an interactive interface that allows users to manually enter or adjust region-specific collection requirements to cover special cases that may not be covered by predefined rules.

[0059] In some embodiments, after the system sets an approval node for the data collection items of the basic data collection wizard according to the received data collection request and generates the target data collection wizard through the data loading model, it also includes: performing a legality check on the guide steps and data collection items of the target data collection wizard according to preset rules;

[0060] When the legality check passes, the target data collection wizard is pushed to the requesting end to which the data collection request belongs;

[0061] When the legality check fails, a failure prompt is pushed to the request end to which the data collection request belongs according to the specific failed list;

[0062] The target data collection guide is redetermined upon receiving an adjustment to the failed list.

[0063] It should be noted that after generating the target data collection wizard, the system also includes a legality check process for the wizard, which ensures the compliance and accuracy of data collection. Legality check is to review the data collection items and guide steps to confirm whether they meet the preset rules and standards.

[0064] Specifically, the preset rules may include standards such as the completeness, consistency, and timeliness of data collection. During the inspection process, the system will automatically check each step and item in the target data collection wizard according to these rules to ensure the legality of data collection. For example, the system can check whether the data fields are complete, whether the data operations are performed correctly, whether the data format meets the requirements, etc. If any items that do not meet the rules are found during the inspection process, the system will record them and prompt.

[0065] Preferably, the system can be designed to provide detailed failure prompts and solution suggestions when the legality check fails. More specifically, the system can list all data collection items that have not passed the inspection and point out the specific reasons for not meeting the rules. In addition, the system can also provide a modification wizard interface to allow users to make adjustments based on the failure prompts. For example, if a data field is missing, the system can prompt the user to supplement the field, or if a data operation is incorrect, the system can suggest that the user reset the operation logic. In this way, the system not only ensures the legality of data collection, but also improves the convenience and flexibility of user operations.

[0066] In some embodiments, after pushing the target data collection wizard, the system further includes: detecting whether the data collection process is terminated based on the input feedback of the target data collection wizard, and storing the data collection completed by the target data collection wizard if it is not terminated.

[0067] It should be noted that the system has the ability to monitor and provide feedback on the data collection process in real time, ensuring the continuity and integrity of data collection. This function is achieved by detecting the input feedback of the target data collection wizard, so as to determine whether the data collection process has been terminated.

[0068] Specifically, input feedback can include various signals or information during the data collection process, such as sensor readings, user operation confirmations, system status updates, etc. The system will evaluate the progress of the data collection process based on this feedback information. For example, the system can set specific thresholds or conditions, and when the collected data meets these conditions, the system considers that the data collection process has been completed. In addition, the system can also record and store the completed data collection results for subsequent analysis and use.

[0069] Preferably, the system can use an event-driven mechanism to detect state changes in the data collection process. More specifically, whenever the data collection wizard receives new input feedback, the system will trigger the corresponding event handlers, which will update the data collection status according to the feedback content and decide whether further data collection activities are needed. In addition, the system can also provide a visual display of the data collection process, so that users can intuitively understand the current collection progress and status. If the data collection process has not ended, the system can also automatically store the data according to the preset strategy, or remind the user to store it manually.

[0070] In some embodiments, the system further comprises: acquiring received preset feedback information for the target data collection wizard;

[0071] A function of performing a save or cancel operation on the data collection items included in the completed guiding steps is determined according to the preset feedback information.

[0072] It should be noted that the preset feedback information may include key indicators, abnormal warnings, user input or other system-generated signals during the data collection process. The system will use this information to determine whether to save or cancel the data collection items included in the completed guided steps. For example, if the feedback information indicates that a data collection project does not meet the preset quality standards, the system may decide to cancel the collection results of the project and prompt the user to re-collect.

[0073] Preferably, the system can be designed with a feedback information processing module, which is responsible for collecting, analyzing and responding to preset feedback information. More specifically, the module can include a rule engine for defining and executing rules for feedback information processing. For example, the system can set a rule that when the received data collection item deviates from the preset standard by more than a certain threshold, the item is automatically marked as invalid and a revocation operation is triggered. In addition, the system can also provide a user interface to allow users to manually confirm or modify the decision results of the rule engine to adapt to specific business needs or special circumstances.

[0074] The above-mentioned embodiments of the present invention have the following beneficial effects: the system of the present invention can not only ensure the accuracy and compliance of data collection, but also improve the flexibility of operation and the response speed of the system through functions such as intelligent data classification, dynamic approval node setting, legality verification and feedback information processing. In addition, the system's real-time monitoring and storage functions for the data collection wizard can further ensure the integrity and availability of the data, and can provide a solid data foundation for decision support and optimization management of rural smart energy areas. In addition, the system can realize the automatic and intelligent collection of energy data through advanced data collection devices and electronic equipment, reducing labor costs and time costs. The user interface and interactive design of the system enable non-professionals to easily collect data, which can improve the popularity and ease of use of the system. At the same time, the modular design and flexible configuration capabilities of the system enable it to adapt to the collection needs of different regions and different energy types, and it has high adaptability and scalability.

[0075] like Figure 2 As shown, in some embodiments, a three-dimensional data acquisition device 200 for a rural smart energy area includes:

[0076] A data classification module is used to classify the collected data according to the energy usage type to obtain classified energy data;

[0077] An allocation module, used to allocate a corresponding data collection model to each type of energy data, wherein the data collection model is used to generate a basic data collection wizard, wherein the basic data collection wizard at least includes the guide steps required to complete data collection and the data collection items completed under the guide steps, and each data collection item includes one or two or more energy data collection settings;

[0078] The wizard module is used to set approval nodes for the data collection items of the basic data collection wizard according to the received data collection request, and generate a target data collection wizard through the data loading model. The target data collection wizard is used to guide data collection according to the guidance steps. After the approval node of the current guidance step is approved, the next guidance step is performed until the guided data collection is completed.

[0079] It can be understood that the modules recorded in the three-dimensional data acquisition device 200 for rural smart energy areas are similar to those in the reference Figure 1 The modules in the three-dimensional data acquisition system for rural smart energy areas described above correspond to each other. Therefore, the modules, features and beneficial effects described above for the three-dimensional data acquisition device system for rural smart energy areas are also applicable to the three-dimensional data acquisition device 200 for rural smart energy areas and the modules contained therein, and will not be repeated here.

[0080] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0081] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0082] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0083] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0084] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A three-dimensional data acquisition system for rural smart energy areas, characterized in that: The system includes: a data classification module, a data loading model, and a data collection wizard module; The data classification module classifies the collected data according to the energy usage type to obtain classified energy data; The data loading model allocates a corresponding data collection model to each type of energy data, and the data collection model is used to generate a basic data collection wizard, and the basic data collection wizard at least includes the guide steps required to complete the data collection and the data collection items completed under the guide steps, and each of the data collection items includes one or two or more energy data collection settings; An approval node is set for the data collection project of the basic data collection wizard according to the received data collection request, and the basic data collection wizard is modified through the data loading model to generate a target data collection wizard. The target data collection wizard is used to guide data collection according to the guided steps. After the approval node of the current guided step is approved, the next guided step is performed until the guided data collection is completed.

2. The data acquisition system according to claim 1, characterized in that: The basic data collection wizard at least includes the guide steps required to complete data collection and the data collection items completed under the guide steps, and the basic data collection wizard also includes: one or a combination of two or more of data fields, data operations and data formats; Among them, the data field is used to display the field name, data type and collection format of the data collection item of each guided step, the data operation is used for operations between two or more data fields, and the data format is used for the display format setting of the basic data collection wizard.

3. The data acquisition system according to claim 1, characterized in that: The system also includes: a function of adjusting the approval node of each of the guiding steps in combination with the data collection request and the target data collection wizard.

4. The data acquisition system according to claim 1, characterized in that: Before the system sets the approval node for the data collection item of the basic data collection wizard according to the received data collection request, the system includes: Obtaining the region identification and region collection process corresponding to the data collection request; The guiding steps of the basic data collection wizard and the data collection items included in each guiding step are adjusted according to the area identifier and the area collection process, so that the adjusted basic data collection wizard matches the data collection request.

5. The data acquisition system according to any one of claims 1 to 4, characterized in that: After the system sets an approval node for the data collection items of the basic data collection wizard according to the received data collection request and generates the target data collection wizard through the data loading model, the system also includes: performing a legality check on the guide steps and data collection items of the target data collection wizard according to preset rules; When the legality check passes, the target data collection wizard is pushed to the requesting end to which the data collection request belongs; When the legality check fails, a failure prompt is pushed to the request end to which the data collection request belongs according to the specific failed list; The target data collection guide is redetermined upon receiving an adjustment to the failed list.

6. The data acquisition system according to claim 5, characterized in that: After pushing the target data collection wizard, the system further includes: detecting whether the data collection process is terminated according to the input feedback of the target data collection wizard, and storing the data collection completed by the target data collection wizard when it is not terminated.

7. The data acquisition system according to claim 1, characterized in that: The system further includes: acquiring received preset feedback information for the target data collection wizard; A function of performing a save or cancel operation on the data collection items included in the completed guiding steps is determined according to the preset feedback information.

8. A three-dimensional data acquisition device for rural smart energy areas, characterized in that: The device includes: a data classification module, which is used to classify the collected data according to the energy usage type to obtain classified energy data; An allocation module, used to allocate a corresponding data collection model to each type of energy data, wherein the data collection model is used to generate a basic data collection wizard, wherein the basic data collection wizard at least includes the guide steps required to complete data collection and the data collection items completed under the guide steps, and each data collection item includes one or two or more energy data collection settings; The wizard module is used to set approval nodes for the data collection items of the basic data collection wizard according to the received data collection request, and generate a target data collection wizard through the data loading model. The target data collection wizard is used to guide data collection according to the guidance steps. After the approval node of the current guidance step is approved, the next guidance step is performed until the guided data collection is completed.

9. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by a processor; The memory is configured to perform the following functions: Classify the collected data according to the energy usage type to obtain classified energy data; Assign a corresponding data collection model to each type of energy data, wherein the data collection model is used to generate a basic data collection wizard, wherein the basic data collection wizard at least includes the guide steps required to complete data collection and the data collection items completed under the guide steps, and each data collection item includes one or two or more energy data collection settings; According to the received data collection request, an approval node is set for the data collection project of the basic data collection wizard, and a target data collection wizard is generated through the data loading model. The target data collection wizard is used to guide data collection according to the guidance steps. After the approval node of the current guidance step is approved, the next guidance step is performed until the guided data collection is completed.

10. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the data acquisition system according to any one of claims 1 to 9 is implemented.

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