Compressed air energy storage artificial cavern step-by-step convergence site selection method, system, medium, and device

Abstract

The application discloses a compressed air energy storage artificial cavern step-by-step convergence site selection method, system, medium and equipment, and belongs to the technical field of compressed air energy storage artificial caverns. The compressed air energy storage artificial cavern step-by-step convergence site selection method comprises the following steps: collecting multi-source heterogeneous basic data related to artificial cavern site selection in a research area to form a site selection basic database; identifying a region without construction feasibility and delimiting a site selection constraint boundary; performing comprehensive superposition analysis to identify no less than one target site selection region; determining at least two comparison sites; obtaining geological condition and hydrogeological condition parameters of the comparison sites; correcting the early screening result and the evaluation result; and determining an optimal recommended site. The system, medium and equipment can be used to implement the method. The method, system, medium and equipment can provide a compressed air energy storage artificial cavern step-by-step convergence site selection method, so that the scientificity, systematicness and reliability of site selection work are improved.

Description

Technical Field

[0001] This invention relates to the field of compressed air energy storage artificial chamber technology, and in particular to a method, system, medium and equipment for stepwise convergence site selection of compressed air energy storage artificial chambers. Background Technology

[0002] Compressed air energy storage (CASS) is an important technology suitable for large-scale, long-term energy storage. For CASS projects using artificial chambers as storage spaces, the site conditions directly affect the stability, sealing, construction feasibility, and economic efficiency of the underground chambers. Therefore, site selection is a critical step in project construction. Existing site selection methods often focus on individual analyses of resource, geological, and construction conditions, lacking a systematic approach covering the entire process from initial screening of the coverage area, identification of target sites, comparison of candidate sites, detailed exploration and verification, to determination of recommended sites. In particular, there are shortcomings in multi-source data integration, suitability evaluation, exploration feedback correction, and comprehensive ranking, making it difficult to meet the site selection requirements of artificial chamber CASS projects. Therefore, it is necessary to propose a stepwise convergence site selection method for artificial chamber CASS projects to improve the scientific rigor, systematicity, and reliability of site selection. Summary of the Invention

[0003] In view of this, the present invention provides a stepwise convergence site selection method, system, medium and equipment for compressed air energy storage artificial chambers, which can provide a stepwise convergence site selection method for compressed air energy storage artificial chambers to improve the scientific nature, systematicness and reliability of site selection work, and thus be more suitable for practical use.

[0004] To achieve the first objective mentioned above, the technical solution of the stepwise convergence site selection method for compressed air energy storage artificial chambers provided by this invention is as follows: The method for step-by-step convergence site selection of compressed air energy storage artificial chambers provided by this invention includes the following steps: S1: Collect multi-source heterogeneous basic data related to the site selection of artificial chambers in the study area, and standardize the collected data to form a site selection basic database; S2: Based on the aforementioned site selection database, spatial overlay analysis, layer filtering, and zoning analysis methods are used to identify areas that are not feasible for construction and to delineate site selection constraint boundaries. S3: For the remaining area after removing the constraint boundary, conduct a comprehensive overlay analysis based on geological stability, rock mass stability, hydrogeological conditions, topography and geomorphology, and construction support conditions to identify no less than one target site selection area; S4: Conduct general selection site identification, on-site investigation and comprehensive screening within the preliminary target area to determine at least two comparison sites; S5: Conduct site selection surveys for the proposed reservoir sites to obtain geological and hydrogeological parameters of the proposed reservoir sites; S6: Based on the exploration results obtained in step S5, create a three-dimensional geological model and revise the preliminary screening and evaluation results; S7: Based on the detailed survey results, conduct a comprehensive evaluation system analysis, quantify the indicators of each candidate site, assign scores to each item, and give a comprehensive weighted score. Then, rank the sites according to the scoring results to determine the optimal recommended site.

[0005] The method for stepwise convergence site selection of compressed air energy storage artificial chambers provided by this invention can be further implemented using the following technical measures.

[0006] Preferably, the multi-source heterogeneous data mentioned in step S1 includes one or more of the following: relevant planning data, energy storage policy data, engineering geological data, meteorological and hydrological data, ecological environment data, mineral resource data, geological disaster data, construction condition data, and existing underground chamber data.

[0007] Preferably, the standardization process in step S1 includes one or more of the following: unifying the spatial coordinate system, unifying the data format, unifying the data precision, and establishing attribute coding rules.

[0008] As a preferred option, the areas identified in step S2 that are not feasible for construction include one or more of the following: large tectonic zones and areas affected by active faults, areas with concentrated adverse geological development, high-risk areas for geological disasters, ecological protection red line areas, nature reserves, water source protection areas, densely built-up urban areas, and areas subject to strict policy restrictions.

[0009] Preferably, in step S3, a comprehensive overlay analysis is performed on the geological stability, rock mass stability, hydrogeological conditions, topographic conditions, and construction support conditions of the remaining area to identify the target site selection area.

[0010] Preferably, step S4 includes: identifying general candidate sites within the preliminary target area based on the site selection database formed in step S1; conducting on-site investigations of the general candidate sites to verify and supplement candidate site information; and performing a comprehensive analysis of the general candidate sites based on the supplemented information to select at least two alternative candidate sites.

[0011] Preferably, the site selection investigation in step S5 includes investigating the geological structure and hydrogeological conditions of the site area through engineering geological mapping, geophysical exploration, drilling, in-situ testing and laboratory testing, obtaining key indicators such as the physical and mechanical properties of the surrounding rock, permeability characteristics, groundwater conditions and geostress field parameters, and obtaining the measured parameters required to evaluate the feasibility of building the reservoir.

[0012] Preferably, the step S6 involves correcting the preliminary screening and evaluation results, including updating at least one of the target site selection area identification results, general site screening results, and comparative site evaluation results based on the three-dimensional engineering geological model.

[0013] Preferably, the comprehensive sorting in step S7 includes: Based on detailed survey results, an analysis of the underground space layout was conducted, and a comprehensive evaluation index system was constructed covering stability, sealing, environmental conditions, land use conditions, construction conditions, socio-economic benefits, and investment estimates. The indicators in the comprehensive evaluation index system are classified, quantified, and weighted, and each selected site is assigned a score and a comprehensive weighted score. Based on the comprehensive scoring results, the selected sites are ranked to determine the optimal recommended site.

[0014] To achieve the second objective mentioned above, the technical solution of the compressed air energy storage artificial chamber stepwise convergence site selection system provided by the present invention is as follows: The compressed air energy storage artificial chamber stepwise convergence site selection system provided by this invention includes: The basic data collection and database construction module is used to collect multi-source basic data related to the site selection of artificial chambers in the study area and to establish a site selection basic database. The constraint area identification module is used to identify areas that are not feasible for construction and to delineate site selection constraint boundaries; The target area identification module is used to perform suitability assessments and identify target site selection areas. The site selection and screening module is used to generate comparative sites within the target site selection area; The site selection and exploration module is used to obtain the physical and mechanical properties of the surrounding rock, its permeability characteristics, groundwater conditions, and geostress field parameters. The geological model building module is used to build three-dimensional engineering geological models; The repository site evaluation and selection module is used to comprehensively rank the candidate repository sites and determine the recommended repository site.

[0015] To achieve the third objective mentioned above, the technical solution of the computer-readable storage medium provided by the present invention is as follows: The computer-readable storage medium provided by the present invention stores a step-by-step convergence addressing program for compressed air energy storage artificial chambers. When the compressed air energy storage artificial chamber step-by-step convergence addressing program is executed by a processor, it implements the steps of the step-by-step convergence addressing method for compressed air energy storage artificial chambers provided by the present invention.

[0016] To achieve the fourth objective mentioned above, the technical solution for the electronic device provided by this invention is as follows: The electronic device provided by the present invention includes a memory and a processor. The memory stores a step-by-step convergence addressing program for compressed air energy storage artificial chambers. When the processor executes the step-by-step convergence addressing program for compressed air energy storage artificial chambers, it implements the steps of the step-by-step convergence addressing method for compressed air energy storage artificial chambers provided by the present invention.

[0017] The present invention provides a hierarchical convergence site selection method, system, medium and equipment for compressed air energy storage artificial chambers. It constructs a hierarchical screening and dynamic correction method suitable for the site selection of compressed air energy storage artificial chambers, realizes hierarchical convergence from regional space to engineering site, and ensures that the finally selected chamber site has engineering safety, economic rationality and construction feasibility. Attached Figure Description

[0018] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A flowchart illustrating the steps of the stepwise convergence site selection method for compressed air energy storage artificial chambers provided in this embodiment of the invention; Figure 2 A schematic diagram of a staged convergence site selection system for compressed air energy storage artificial chambers provided in an embodiment of the present invention; Figure 3 A schematic diagram of the structure of the compressed air energy storage artificial chamber stepwise convergence site selection device for the hardware operating environment provided in the embodiments of the present invention. Detailed Implementation

[0019] To address the problems existing in the prior art, this invention provides a stepwise convergence site selection method, system, medium, and equipment for compressed air energy storage artificial chambers. It can provide a stepwise convergence site selection method for compressed air energy storage artificial chambers to improve the scientific nature, systematicness, and reliability of site selection work, thereby making it more suitable for practical use.

[0020] To further illustrate the technical means and effects adopted by the present invention to achieve the intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation methods, structures, features, and effects of the compressed air energy storage artificial chamber stepwise convergence site selection method, system, medium, and equipment proposed according to the present invention. In the following description, different "embodiments" or "embodiments" do not necessarily refer to the same embodiment. Furthermore, features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0021] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships, such as A and / or B. Specifically, it can mean that A and B can be included at the same time, A can exist alone, or B can exist alone, and any of the above three situations can be met.

[0022] This embodiment provides a method for site selection of compressed air energy storage artificial chambers, applicable to the site selection, site screening, and recommended site determination processes for compressed air energy storage projects using artificial chambers as storage spaces. This method comprehensively utilizes multi-source basic data, spatial analysis techniques, engineering geological survey results, three-dimensional geological modeling, and comprehensive evaluation methods to achieve a complete site selection process, from initial regional screening, target area identification, site comparison and determination to recommended site output.

[0023] Example 1: The stepwise convergence site selection method for compressed air energy storage artificial chambers provided by the present invention See appendix Figure 1 The method for step-by-step convergence site selection of compressed air energy storage artificial chambers provided in this embodiment of the invention includes the following steps: S1: Collect multi-source heterogeneous basic data related to the site selection of artificial chambers within the study area, and standardize the collected data to form a site selection basic database.

[0024] In this embodiment, firstly, multi-source heterogeneous basic data related to the site selection of compressed air energy storage artificial chambers within the study area are collected, and a site selection basic database is established. The multi-source basic data mainly includes relevant planning data, energy storage policy data, hydrological and meteorological data, geological environment data, ecological environment data, mineral resource data, geological disaster data, construction condition data, and existing underground chamber data. Among these, relevant planning data mainly includes land use planning, ecological protection red lines, permanent basic farmland, urban development boundaries, and nature reserve planning; energy storage policy data mainly includes energy and energy storage special plans, power grid planning, industrial support policies, and engineering cost and land acquisition and demolition compensation standards; hydrological and meteorological data mainly includes regional surface water characteristics, historical flood and drought conditions, precipitation, temperature, evaporation, wind direction, and other long-term meteorological observation data; geological environment data mainly includes topography, regional geology, engineering geology, hydrogeology, and seismic data; and ecological environment data mainly includes national parks, nature reserves, scenic spots, and drinking water source protection. Data on the district and other ecologically sensitive and restricted areas; mineral resource data mainly includes regional mineral distribution, mining rights settings, existing geological exploration results, and data on mining subsidence areas and related geological hazard risks; geological hazard data mainly includes the development and risk data of disasters such as collapses, landslides, debris flows, and karst collapses; construction conditions data mainly includes power grid access conditions, water source conditions, construction site conditions, transportation conditions, transportation conditions for large equipment, local building material supply conditions, and socio-economic and land acquisition conditions; existing underground chamber data mainly includes the spatial distribution, geometric characteristics, surrounding rock and rock mechanics conditions, and current stability data of existing underground engineering projects.

[0025] After completing the aforementioned data collection, various types of data undergo standardization processing. This standardization process may include unifying the spatial coordinate system, data format, data precision and scale, establishing attribute fields and classification coding rules, and verifying and correcting missing, conflicting, and duplicate data. Through this standardization process, data from different sources and of different types, such as vector, raster, tabular, and profile data, can be uniformly managed, accessed, and analyzed on the same technical platform, thereby forming a site selection foundation database covering the study area.

[0026] S2: Based on the aforementioned site selection database, spatial overlay analysis, layer filtering, and zoning analysis methods are used to identify areas that are not feasible for construction and to delineate site selection constraint boundaries.

[0027] In this embodiment, based on the site selection database established in step S1, hard constraint areas are identified and eliminated in the study area. The identification of hard constraint areas is based on the site selection database established in step S1, and uses methods such as spatial overlay analysis, layer filtering, and zoning analysis to identify areas within the study area that are not feasible for construction and to delineate site selection constraint boundaries.

[0028] The areas deemed unfeasible for construction can be categorized into four types: planning control-related hard constraints, geological safety-related hard constraints, ecological environment-related hard constraints, and construction condition-related hard constraints. Planning control-related hard constraints include ecological protection red lines, permanent basic farmland, urban development boundaries, nature reserves, drinking water source protection areas, and other policy-restricted construction areas. Geological safety-related hard constraints include areas affected by active faults, severe karst collapse areas, high-risk areas for major geological disasters, areas with unfavorable geological development, and areas with relatively developed groundwater. Ecological environment-related hard constraints include environmentally sensitive areas, water conservation sensitive areas, and sensitive zones surrounding important rivers, lakes, and reservoirs. Construction condition-related hard constraints include areas with excessively steep terrain and other areas clearly unfavorable for project layout, construction organization, and operation and maintenance. Identification criteria and boundary identification rules are established for each of these areas, and thematic layers are created on a geographic information platform. After unified overlay, boundary merging, and comprehensive cropping, a site selection constraint boundary map of the study area is formed.

[0029] S3: For the remaining area after removing the constraint boundaries, conduct a comprehensive overlay analysis based on geological stability, rock mass stability, hydrogeological conditions, topography, and construction support conditions to identify no less than one target site selection area.

[0030] In this embodiment, suitability evaluation and target site selection area identification are carried out on the remaining area after removing hard constraint areas. The suitability evaluation is based on the site selection database established in step S1, combined with the remaining analyzable area formed in step S2. Spatial overlay analysis and zoning evaluation methods are used to comprehensively analyze the main factors affecting the suitability of the construction of compressed air energy storage artificial chambers, form the suitability zoning results of the study area, and identify target site selection areas based on this.

[0031] The suitability assessment mainly includes evaluations of geological stability, rock mass stability, hydrogeological conditions, topographic and geomorphological conditions, and construction support conditions. Specifically, geological stability is used to evaluate the degree of regional tectonic stability and the impact of fault structures; rock mass stability is used to evaluate the integrity of the surrounding rock, rock mass quality, and conditions for tunnel construction; hydrogeological conditions are used to evaluate the degree of groundwater development, permeability, and sealing risks; topographic and geomorphological conditions are used to evaluate topographic relief, elevation conditions, and the ease of site layout; and construction support conditions are used to evaluate transportation, power grid, water source, construction site, and external cooperation conditions.

[0032] For each of the above evaluation elements, a grading standard and evaluation rules can be established, and a corresponding thematic layer can be formed on the geographic information platform. After unified weighting and comprehensive analysis, the blocks with higher suitability can be further identified, and no less than one preliminary target area can be delineated.

[0033] S4: Conduct general selection site identification, on-site investigation and comprehensive screening within the preliminary target area to determine at least two alternative selection sites.

[0034] In this embodiment, a general selection of candidate sites and on-site investigation are carried out within the target site selection area identified in step S3. The general selection of candidate sites and on-site investigation are based on the site selection database established in step S1 and combined with the target site selection area formed in step S3. A combination of general site selection, on-site investigation and comprehensive comparison is used to identify and screen candidate areas with further research value, and determine the candidate sites for subsequent site selection and exploration.

[0035] Specifically, within the preliminary target area, based on the scale of compressed air energy storage project construction, underground chamber layout requirements, topographic conditions, engineering geological conditions, hydrogeological conditions, ecological environment conditions, and supporting conditions such as transportation, power grid, water source, and construction site, a general selection of several candidate areas within the area is conducted to preliminarily identify potential reservoir sites.

[0036] After the selection of the reservoir site is completed, an on-site investigation is conducted at the site. The on-site investigation includes site reconnaissance, topographic and geomorphological verification, investigation of rock mass exposure conditions, investigation of adverse geological phenomena, verification of hydrogeological conditions, investigation of ecologically sensitive points, and investigation of transportation, power, water source and construction conditions. It is used to verify the accuracy of the basic database information and supplement the actual on-site conditions that are difficult to reflect by indoor data analysis.

[0037] Based on the on-site investigation, the construction conditions of each candidate reservoir site were comprehensively analyzed and compared. The feasibility of the project, the coordination of construction, and the value of further exploration were evaluated. At least two alternative reservoir sites were selected as the objects for subsequent site selection investigation, three-dimensional engineering geological model construction, and comprehensive evaluation.

[0038] S5: Conduct site selection surveys for the selected reservoir sites to obtain geological and hydrogeological parameters of the selected reservoir sites.

[0039] In this embodiment, site selection surveys are conducted on the candidate reservoir sites selected in step S4. These site selection surveys employ methods such as engineering geological mapping, geophysical exploration, drilling, in-situ testing, and laboratory testing to systematically investigate the lithology, geological structure, rock mass structure, groundwater conditions, and geostress characteristics of the reservoir site area, obtaining key parameters required for evaluating the feasibility of reservoir construction.

[0040] Specifically, the engineering geological mapping is mainly used to ascertain topographic features, stratum exposure, fault structure distribution, adverse geological phenomena, and rock weathering characteristics; the geophysical exploration is mainly used to identify changes in the integrity of underground rock masses, the development of fault fracture zones, water-bearing anomaly zones, and the distribution characteristics of other unfavorable geological bodies; the drilling is mainly used to reveal the deep stratum structure, lithological combination, rock mass quality, and groundwater occurrence conditions; the in-situ test is mainly used to obtain in-situ parameters such as in-situ stress, permeability, and deformation characteristics; and the laboratory test is mainly used to obtain the physical and mechanical properties, permeability characteristics, and related engineering parameters of the surrounding rock.

[0041] S6: Based on the exploration results obtained in step S5, create a three-dimensional geological model and revise the preliminary screening and evaluation results.

[0042] In this embodiment, based on the site selection survey results obtained in step S5, a three-dimensional engineering geological model is constructed and feedback correction is performed. The construction and feedback correction of the three-dimensional engineering geological model is based on the detailed survey data of the selected reservoir site, and the stratigraphic structure, lithological distribution, geological structure, hydrogeological conditions and underground chamber layout conditions of the reservoir site area are expressed in three dimensions and comprehensively analyzed to improve the accuracy and reliability of the reservoir site evaluation results.

[0043] Specifically, based on the survey results of engineering geological mapping, geophysical exploration, drilling, in-situ testing and laboratory testing, a three-dimensional engineering geological model is established to reflect the stratigraphic interfaces, rock mass structure, fault structure, distribution of fracture zones, groundwater occurrence characteristics and geostress conditions of the reservoir site area. In the model, the spatial relationship between the proposed underground chamber and unfavorable geological bodies, water-bearing structures and complex stress zones is analyzed in conjunction with the spatial location, burial depth range and plan layout of the proposed underground chamber.

[0044] After the three-dimensional engineering geological model is constructed, the model is used to provide feedback and correction to the previous screening and evaluation results. The feedback and correction include updating at least one of the following: the target site identification results, the general site screening results, and the comparative evaluation results.

[0045] S7: Based on the detailed survey results, conduct a comprehensive evaluation system analysis, quantify the indicators of each candidate site, assign scores to each item, and give a comprehensive weighted score. Then, rank the sites according to the scoring results to determine the optimal recommended site.

[0046] In this embodiment, based on the detailed exploration results obtained in step S5 and the three-dimensional engineering geological model formed in step S6, a comprehensive evaluation and recommended site output are conducted for each candidate reservoir site. The comprehensive evaluation and recommended site output are based on the geological conditions, construction conditions, and engineering layout conditions of the candidate reservoir sites. By constructing a comprehensive evaluation index system, the candidate reservoir sites are quantitatively analyzed and ranked to determine the optimal recommended site.

[0047] Specifically, based on detailed survey results and analysis of the underground space layout, a comprehensive evaluation index system is constructed, encompassing stability, sealing, environmental conditions, land use conditions, construction conditions, socio-economic benefits, and investment estimation. Among these, stability is primarily used to evaluate the quality of the surrounding rock, rock mass structure, the impact of fracture structures, and the suitability of geostress; sealing is primarily used to evaluate rock mass permeability, groundwater development, and gas storage sealing conditions; environmental conditions are primarily used to evaluate ecological sensitivity and the project's environmental compatibility; land use conditions are primarily used to evaluate surface layout conditions and land use coordination; construction conditions are primarily used to evaluate transportation, construction organization, material supply, and accessibility to external facilities; socio-economic benefits are primarily used to evaluate the degree of matching with load centers, power grid access, and regional development needs; and investment estimation is primarily used to evaluate the construction costs of the tunnel engineering, surface engineering, and supporting facilities.

[0048] After establishing a comprehensive evaluation index system, each evaluation index is graded, quantified, and weighted. Each candidate site is then assigned a score, and a comprehensive weighted score is applied. Based on the comprehensive score results, the candidate sites are ranked, and the site with the best overall conditions is selected as the recommended site. If necessary, alternative sites and their applicable conditions can also be proposed simultaneously.

[0049] Through the steps S1 to S7 described above, this embodiment constructs a hierarchical screening and dynamic correction method suitable for the site selection of compressed air energy storage artificial chambers. It achieves step-by-step convergence from regional space to engineering site and ensures that the finally selected chamber site has engineering safety, economic rationality and construction feasibility.

[0050] Example 2: Stepwise Convergence Site Selection System for Compressed Air Energy Storage Artificial Chamber See appendix Figure 2 The compressed air energy storage artificial chamber site selection system provided in this embodiment of the invention for implementing the above method includes: 1. Basic Data Collection and Database Construction Module This is used to collect multi-source basic data related to the site selection of artificial chambers within the study area, and to standardize the collected data to establish a site selection basic database.

[0051] 2. Constraint Region Recognition Module It is used to identify areas within the study area that are not feasible for construction, based on a site selection database, and to delineate site selection constraint boundaries.

[0052] 3. Target Area Recognition Module Used to evaluate the suitability of the remaining area after removing the site selection constraint boundaries and to identify target site selection areas.

[0053] 4. Site Selection and Screening Module Used for general site selection, on-site investigation and comprehensive screening within the target site selection area to form a comparative selection site.

[0054] 5. Site Selection and Survey Module It is used to investigate the geological structure and hydrogeological conditions of the reservoir site area through engineering geological mapping, geophysical exploration, drilling, in-situ testing and laboratory testing, and to obtain the physical and mechanical properties of the surrounding rock, permeability characteristics, groundwater conditions and geostress field parameters.

[0055] 6. Geological Model Building Module It is used to construct a three-dimensional engineering geological model based on the exploration results and to correct the previous screening and evaluation results.

[0056] 7. Site Evaluation and Selection Module This system is used to construct a comprehensive evaluation index system, quantify the indicators for each candidate site, assign scores to each item, and calculate a comprehensive weighted score. The recommended site is then determined based on the scoring results.

[0057] The system is configured to perform the compressed air energy storage artificial chamber site selection method described in any of the foregoing embodiments.

[0058] The compressed air energy storage artificial chamber stepwise convergence site selection system provided by this invention can be used to implement the hierarchical screening and dynamic correction method for the site selection of compressed air energy storage artificial chambers provided by this invention. It realizes stepwise convergence from regional space to engineering site and ensures that the finally selected chamber site has engineering safety, economic rationality and construction feasibility.

[0059] Reference Figure 3 , Figure 3 This is a schematic diagram of the structure of the compressed air energy storage artificial chamber stepwise convergence site selection device in the hardware operating environment of the embodiment of the present invention.

[0060] like Figure 3As shown, the compressed air energy storage artificial chamber's step-by-step convergence addressing device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0061] Those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the step-by-step convergence site selection device for compressed air energy storage artificial chambers, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0062] like Figure 3 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and a step-by-step convergence addressing program for compressed air energy storage artificial chambers.

[0063] exist Figure 3 In the compressed air energy storage manned chamber step-by-step convergence addressing device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the compressed air energy storage manned chamber step-by-step convergence addressing device of the present invention can be set in the compressed air energy storage manned chamber step-by-step convergence addressing device. The compressed air energy storage manned chamber step-by-step convergence addressing device calls the compressed air energy storage manned chamber step-by-step convergence addressing program stored in the memory 1005 through the processor 1001, and executes the compressed air energy storage manned chamber step-by-step convergence addressing method provided in the embodiment of the present invention.

[0064] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0065] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A stepwise convergence site selection method for an artificial chamber for compressed air energy storage, characterized in that, Includes the following steps: S1: Collect multi-source heterogeneous basic data related to the site selection of artificial chambers in the study area, and standardize the collected data to form a site selection basic database; S2: Based on the aforementioned site selection database, spatial overlay analysis, layer filtering, and zoning analysis methods are used to identify areas that are not feasible for construction and to delineate site selection constraint boundaries. S3: For the remaining area after removing the constraint boundary, conduct a comprehensive overlay analysis based on geological stability, rock mass stability, hydrogeological conditions, topography and geomorphology, and construction support conditions to identify no less than one target site selection area; S4: Conduct general selection site identification, on-site investigation and comprehensive screening within the preliminary target area to determine at least two comparison sites; S5: Conduct site selection surveys for the proposed reservoir sites to obtain geological and hydrogeological parameters of the proposed reservoir sites; S6: Based on the exploration results obtained in step S5, create a three-dimensional geological model and revise the preliminary screening and evaluation results; S7: Based on the detailed survey results, conduct a comprehensive evaluation system analysis, quantify the indicators of each candidate site, assign scores to each item, and give a comprehensive weighted score. Then, rank the sites according to the scoring results to determine the optimal recommended site.

2. The method for step-by-step convergence site selection of compressed air energy storage artificial chambers according to claim 1, characterized in that, The multi-source heterogeneous data mentioned in step S1 includes one or more of the following: relevant planning data, energy storage policy data, engineering geological data, meteorological and hydrological data, ecological environment data, mineral resource data, geological disaster data, construction condition data, and existing underground chamber data.

3. The method for stepwise convergence site selection of compressed air energy storage artificial chambers according to claim 1, characterized in that, The standardization process described in step S1 includes one or more of the following: unifying the spatial coordinate system, unifying the data format, unifying the data precision, and establishing attribute coding rules.

4. The method for stepwise convergence site selection of compressed air energy storage artificial chambers according to claim 1, characterized in that, The areas identified in step S2 as not feasible for construction include one or more of the following: large tectonic zones and areas affected by active faults, areas with concentrated adverse geological development, high-risk areas for geological disasters, ecological protection red line areas, nature reserves, water source protection areas, densely built-up urban areas, and areas subject to strict policy restrictions.

5. The method for stepwise convergence site selection of compressed air energy storage artificial chambers according to claim 1, characterized in that, In step S3, a comprehensive overlay analysis is performed on the geological stability, rock mass stability, hydrogeological conditions, topographic and geomorphological conditions, and construction support conditions of the remaining area to identify the target site selection area.

6. The method for stepwise convergence site selection of compressed air energy storage artificial chambers according to claim 1, characterized in that, Step S4 includes identifying general selection sites within the preliminary target area based on the site selection database formed in step S1; conducting on-site investigations of the general selection sites to verify and supplement candidate site information; and performing a comprehensive analysis of the general selection sites based on the supplemented information to select at least two alternative sites.

7. The method for stepwise convergence site selection of compressed air energy storage artificial chambers according to claim 1, characterized in that, The site selection investigation mentioned in step S5 includes investigating the geological structure and hydrogeological conditions of the reservoir site area through engineering geological mapping, geophysical exploration, drilling, in-situ testing and laboratory testing, obtaining key indicators such as the physical and mechanical properties of the surrounding rock, permeability characteristics, groundwater conditions and geostress field parameters, and obtaining the measured parameters required to evaluate the feasibility of reservoir construction. As a preferred option, the step S6 of correcting the preliminary screening and evaluation results includes updating at least one of the target site selection area identification results, general site screening results, and comparative site evaluation results based on the three-dimensional engineering geological model; Preferably, the comprehensive sorting in step S7 includes: Based on detailed survey results, an analysis of the underground space layout was conducted, and a comprehensive evaluation index system was constructed covering stability, sealing, environmental conditions, land use conditions, construction conditions, socio-economic benefits, and investment estimates. The indicators in the comprehensive evaluation index system are classified, quantified, and weighted, and each selected site is assigned a score and a comprehensive weighted score. Based on the comprehensive scoring results, the selected sites are ranked to determine the optimal recommended site.

8. A staged convergence site selection system for compressed air energy storage artificial chambers, characterized in that, include: The basic data collection and database construction module is used to collect multi-source basic data related to the site selection of artificial chambers in the study area and to establish a site selection basic database. The constraint area identification module is used to identify areas that are not feasible for construction and to delineate site selection constraint boundaries; The target area identification module is used to perform suitability assessments and identify target site selection areas. The site selection and screening module is used to generate comparative sites within the target site selection area; The site selection and exploration module is used to obtain the physical and mechanical properties of the surrounding rock, its permeability characteristics, groundwater conditions, and geostress field parameters. The geological model building module is used to build three-dimensional engineering geological models; The repository site evaluation and selection module is used to comprehensively rank the candidate repository sites and determine the recommended repository site.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a step-by-step convergence addressing program for compressed air energy storage artificial chambers. When executed by a processor, the step-by-step convergence addressing program for compressed air energy storage artificial chambers implements the steps of the step-by-step convergence addressing method for compressed air energy storage artificial chambers as described in any one of claims 1-7.

10. An electronic device, characterized in that, The system includes a memory and a processor. The memory stores a step-by-step convergence addressing program for compressed air energy storage artificial chambers. When executed by the processor, the step-by-step convergence addressing program for compressed air energy storage artificial chambers implements the steps of the step-by-step convergence addressing method for compressed air energy storage artificial chambers as described in any one of claims 1-7.

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