CN114691803A - Spatial site selection analysis method and device for sewage treatment station - Google Patents

Spatial site selection analysis method and device for sewage treatment station Download PDF

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CN114691803A
CN114691803A CN202210176708.7A CN202210176708A CN114691803A CN 114691803 A CN114691803 A CN 114691803A CN 202210176708 A CN202210176708 A CN 202210176708A CN 114691803 A CN114691803 A CN 114691803A
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马寅晨
姜岚
钱小聪
周煜申
杨璇
吴忠华
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Huatian Engineering and Technology Corp MCC
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Abstract

The invention discloses a space site selection method and a device for a sewage treatment station, wherein the method comprises the following steps: dividing the selectable range of the construction land into a plurality of space units, and performing weight calculation of each factor by using hierarchical analysis software in a cluster decision expert data aggregation mode according to a site selection analysis evaluation system comprising each factor related to site selection analysis to form a factor weight matrix, wherein the factors comprise condition factors and dynamic correction evaluation factors; calling factor data corresponding to the factors from a basic geographic information space database, and carrying out standardization processing on the factor data; and substituting the standardized factor data and the factor weight matrix into a site selection analysis formula to obtain the suitability index of the sewage treatment station arranged in each space unit. The invention quantifies each factor, evaluates the suitability of the space unit, and plans space site selection and construction scale prediction of a plurality of natural village sewage treatment stations.

Description

Spatial site selection analysis method and device for sewage treatment station
Technical Field
The invention relates to the technical field of geographic information, in particular to a method and a device for analyzing a spatial site selection of a sewage treatment station.
Background
The natural village domestic sewage treatment has the characteristics of dispersed sources, large water quality and water quantity fluctuation, limited regional living standard, limited technical level and the like, most of the natural village domestic sewage treatment systems adopt dispersed sewage treatment systems, namely small and medium-sized sewage treatment stations are built in a relatively small regional range, the natural village is generally taken as a unit, the treatment scale of the sewage treatment stations is mostly within 10-200 tons, and long-distance conveying and multi-stage lifting are generally not needed. The method has the advantages of flexible construction mode, short construction period and low construction difficulty; the investment is saved, and the construction cost of the pipe network is reduced; is beneficial to the reuse of reclaimed water and improves the utilization rate of water resources. The defects are that the number of stations is large, and the total operation cost is high; the total investment is large, the occupied area is large, and the scale benefit is difficult to form; the influence on the surrounding environment is large, and the development and construction of an influence area are realized; the sludge treatment and disposal are difficult; the change of water quality and water quantity is large, which is unfavorable for the operation of sewage treatment equipment.
Therefore, the method scientifically carries out space site selection for the natural village domestic sewage treatment station, selects the construction scale according to local conditions, and is the key for realizing the construction, use and good management of the natural village domestic sewage treatment. At present, no reasonable and scientific method exists for spatial site selection of the sewage treatment station.
Disclosure of Invention
In order to solve the above problems, the present invention discloses a spatial site selection method for a sewage treatment station, which is used for determining the position of the sewage treatment station corresponding to each natural village site selection in a village, wherein the village is an area comprising a plurality of natural villages, and the method comprises the following steps:
dividing the selectable range of the construction land into a plurality of space units, and performing weight calculation of each factor by using a cluster decision expert data aggregation mode according to a site selection analysis evaluation system comprising each factor related to site selection analysis to form a factor weight matrix, wherein the factors comprise condition factors and dynamic correction evaluation factors;
calling factor data corresponding to the factors from a basic geographic information space database, and carrying out standardization processing on the factor data;
substituting the standardized factor data and the factor weight matrix into a site selection analysis formula to obtain suitability indexes of sewage treatment stations arranged in each space unit,
the site selection analysis formula is as follows:
Figure BDA0003519267590000011
Vyrepresenting the suitability index of the space unit in which the sewage treatment station is arranged;
Xirepresenting the value of the ith factor data in the site selection analysis and evaluation system after standardization treatment;
BVia weight value representing the ith factor in the factor weight matrix;
n denotes n factors.
Optionally, after obtaining suitability indexes of sewage treatment stations arranged in each space unit, scheme combinations are formed at different positions of all natural villages and the sewage treatment stations, scheme comparison is performed from the scheme combinations by combining design data of sewage treatment coverage rate, sewage treatment station load rate and total sewage treatment capacity, and an optimal recommended site selection scheme is determined.
Alternatively, the first and second liquid crystal display panels may be,
the formula for determining the total sewage treatment capacity of all the sewage treatment stations is as follows:
Figure BDA0003519267590000021
wyrepresents the total sewage treatment capacity of all sewage treatment stations;
Tirepresenting the designed sewage treatment total amount of the ith sewage treatment station;
Mirepresenting the construction investment cost of the ith sewage treatment station;
Firepresenting the load rate of the ith sewage treatment station;
Di[x y]represents the ith at a spatial coordinate value [ x y]Sewage treatment demand of the sewage treatment station below;
Hirepresenting the operating cost of the ith sewage treatment station.
Optionally, the suitability index is blended into vector surface-shaped data, and a vector surface-to-vector point tool in a GIS software platform is utilized to determine a spatial coordinate set of the sewage treatment station.
Optionally, each condition factor includes factors corresponding to traffic reachable time, infrastructure conditions, service coverage requirements, and natural environment conditions, and the dynamic correction evaluation factor includes a natural village planning type and an economic development level in the upper level planning.
Optionally, the factor is divided according to a positive influence and a negative influence, where the positive influence factor includes: road network density, drainage network density, service coverage population range, safety isolation distance, engineering address condition, wind condition, natural village planning type in upper planning, economic development level,
the positive impact factor data normalization formula is:
Figure BDA0003519267590000022
negative impact factors include: the time consumed by walking from the natural village to the sewage treatment station and the time consumed by motor vehicles from the natural village to the sewage treatment station,
the negative impact factor data normalization formula is:
Figure BDA0003519267590000023
Xirepresenting the original factor layer data;
x represents factor layer data processed by a standardized formula;
Xmaxrepresenting the maximum value of the original factor layer data;
Xminrepresenting the minimum of the original factor layer data.
Optionally, a set of qualitative comments is also created, representing the suitability index within the spatial unit in spatial position over a constructively selectable range.
Optionally, before dividing the selectable range of the construction site into a plurality of spatial units, performing weight calculation of each factor by using hierarchical analysis software in a manner of cluster decision expert data aggregation according to an addressing analysis evaluation system including each factor related to addressing analysis, and establishing a factor weight matrix, the method further includes:
collecting land resource data including land, population, roads, environment, pipe network and industry in a village, and establishing a basic geographic information space database;
and in the basic geographic information space database, the region without the planned land is defined as the selectable range of the construction land of the sewage treatment station.
The invention also provides a space site selection device of the sewage treatment station, which is used for determining the position of the sewage treatment station corresponding to each natural village site selection in a village, wherein the village is an area comprising a plurality of natural villages and comprises the following components:
the system comprises a weight determining module, a dynamic correction evaluation module and a dynamic correction evaluation module, wherein the weight determining module is used for dividing the selectable range of the construction land into a plurality of space units, calculating the weight of each factor by using a cluster decision expert data aggregation mode according to a site selection analysis evaluation system comprising each factor related to site selection analysis, and forming a factor weight matrix, wherein the factors comprise condition factors and dynamic correction evaluation factors;
the standardization processing module is used for calling factor data corresponding to the factors from the basic geographic information space database and carrying out standardization processing on the factor data;
the suitability evaluation module is used for substituting the standardized factor data and the factor weight matrix into a site selection analysis formula to obtain suitability indexes of the sewage treatment stations arranged in each space unit,
the site selection analysis formula is as follows:
Figure BDA0003519267590000031
Vyrepresenting the suitability index of the space unit in which the sewage treatment station is arranged;
Xirepresenting the value of the ith factor data in the site selection analysis and evaluation system after standardization treatment;
BVia weight value representing the ith factor in the factor weight matrix;
n denotes n factors.
Compared with the prior art, the invention has the beneficial effects that:
1. and comprehensively considering all factors in the space site selection analysis process of the natural village domestic sewage treatment station, quantifying all the factors, establishing a mathematical model and evaluating the suitability of the space units.
2. And associating the space unit suitability evaluation result of the sewage treatment station with the simulated operation cost of the sewage treatment station, comprehensively considering the simulated operation cost of the sewage treatment station under different space unit suitability, and comparing for a multi-site selection scheme.
3. Different from the spatial site selection analysis and the construction scale prediction of a single natural village domestic sewage treatment station, a plurality of natural villages with domestic sewage treatment requirements in the village area range are regarded as a whole, and the spatial site selection and the construction scale prediction of the plurality of natural village domestic sewage treatment stations are comprehensively planned by considering the sewage treatment requirement relationship between adjacent natural villages.
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The above features and technical advantages of the present invention will become more apparent and readily appreciated from the following description of the embodiments thereof taken in conjunction with the accompanying drawings.
FIG. 1 is a flow chart illustrating a spatial addressing method according to an embodiment of the present invention;
FIG. 2 is a view showing an address selection analysis evaluation system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram showing the spatial locality suitability of an embodiment of the present invention expressed over a selectable range of construction sites;
FIG. 4 is a schematic diagram showing a scheme comparison of an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating an optimal recommended addressing scheme according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described below with reference to the accompanying drawings. Those of ordinary skill in the art will recognize that the described embodiments can be modified in various different ways, or combinations thereof, without departing from the spirit and scope of the present invention. Accordingly, the drawings and description are illustrative in nature and not intended to limit the scope of the claims. Furthermore, in the present description, the drawings are not to scale and like reference numerals refer to like parts.
Fig. 1 is a flow chart of a spatial site selection method of a sewage treatment station according to the embodiment, and the spatial site selection method of the sewage treatment station according to the present invention for determining a position of a sewage treatment station corresponding to each natural village site within a village will be described with reference to fig. 1, which includes the steps of:
step S1, collecting land resource data available in villages such as land, population, road, environment, pipe network and industry in villages, and establishing a basic geographic information spatial database, wherein the villages refer to areas including a plurality of natural villages.
And step S2, in the basic geographic information space database, defining the area with the territory removed according to the territory space planning as the selectable area of the construction land of the sewage treatment station, wherein the territory is the permanent basic farmland, forest land, road, home base and the like.
In step S3, the selectable area of the construction site is divided into a plurality of space units, for example, the selectable area of the construction site may be divided into space units to be evaluated in a grid form. Each spatial unit is used to evaluate whether it is appropriate to deploy a sewage treatment station, according to the site selection analysis evaluation system shown in fig. 2, which includes various factors related to site selection analysis, a factor weight matrix is established.
The factors comprise the time consumed by walking from a natural village to a sewage treatment station, the time consumed by motor vehicles from the natural village to the sewage treatment station, road network density, drainage network density, service coverage population range, coverage population number, safety isolation distance, engineering address condition, weather condition, natural village planning type in upper planning and economic development level.
The site selection construction of the natural village sewage treatment station is not only a top-down government public service decision-making behavior, but also is closely related to practically improving the life of farmers in the natural village, and simultaneously, the site selection construction method also relates to a stronger technical field, and has the authority of administrative policies, and also has the requirements of civilian life and technical support. Therefore, a survey questionnaire is made according to the site selection analysis and evaluation system, the weight values of each evaluation index are calculated by taking experts such as government administration departments, villager representatives, design and construction units, built operation units, relevant scholars of colleges and universities and the like as main data sources, and the weight calculation of each index is performed in the calculation process by using a group decision expert data aggregation mode in the hierarchical analysis software (yaahp).
After calculation, each weight is shown in table one, and factor weights are establishedThe weight matrix BV, e.g. the data in Table one (B)1=0.06,B2=0.04,B3=0.06,B4=0.14,B5=0.12,B6=0.1,B7=0.08,B8=0.1,B9=0.2,V1=0.18,V2=0.02)。
Wherein, BViRepresenting the weight value of the ith factor in the factor weight matrix BV.
Watch 1
Figure BDA0003519267590000041
And step S4, factor data related to the factor layer are called from the basic geographic information spatial database, the factors are divided according to positive influences and negative influences, the factor data are multi-source and heterogeneous and cannot be directly used for spatial analysis research, and the factor data can be subjected to data standardization work by an extreme method.
The positive impact factors include: road network density, drainage network density, service coverage population range, safety isolation distance, engineering address condition, wind condition, natural village planning type in upper planning and economic development level.
The positive impact factor data normalization formula is:
Figure BDA0003519267590000042
negative impact factors include: the time consumed by walking from the natural village to the sewage treatment station and the time consumed by motor vehicles from the natural village to the sewage treatment station.
The negative impact factor data normalization formula is:
Figure BDA0003519267590000043
Xirepresenting raw factor data;
x represents the factor data processed by the standardized formula;
Xmaxa maximum value representing the original factor data;
Xminrepresenting the minimum of the raw factor data.
In step S5, a qualitative assessment set is established according to the adaptive degree of the sewage treatment station to achieve its predetermined target at a specific spatial location, and the adaptive degree may be formed by using the following four levels of qualitative assessment to form a qualitative assessment set D ═ high, medium, and low.
And step S6, substituting the standardized factor data and the factor weight into an address selection analysis formula, and calculating to obtain the suitability index of each space unit for setting the sewage treatment station. The suitability index is combined with the qualitative comment set D to obtain a suitability evaluation result, the suitability evaluation result is subjected to spatial position expression on the construction land selectable range, and the construction land selectable range containing the spatial position expression is shown in FIG. 3.
The site selection analysis formula is as follows:
Figure BDA0003519267590000051
Vyrepresenting the suitability index of the space unit in which the sewage treatment station is arranged;
Xirepresenting the value of the ith factor data in the site selection analysis and evaluation system after standardization treatment;
BVirepresenting the weight value of the ith factor in the factor weight matrix.
The method can further select the site by combining with a set site selection principle, for example, the site is located in the downwind direction of the summer predominant wind direction, good engineering geological conditions are located at the drainage tail end of the village area, so that the method is convenient for the collection, discharge, reuse and transportation of sewage and sludge, does not influence the surrounding ecological environment and landscape, meets the flood control requirement, and has good drainage conditions and the like. It should be noted that this is a technical means that can be implemented by those skilled in the art according to subjective needs, and will not be described in detail herein.
In step S7, a plurality of locations are determined for each natural village according to the suitability evaluation results of the spatial units, for example, all spatial units with high qualitative ratings can be used as the positions of the sewage treatment stations, so that one natural village may correspond to a plurality of suitability positions for suitably arranging the sewage treatment stations. And combining the schemes of all natural villages and different positions of the sewage treatment station, and carrying out scheme comparison and selection from the scheme combinations by combining the design data of the sewage treatment coverage rate, the sewage treatment station load rate and the sewage treatment total capacity.
More specifically, according to the suitability index of the space unit, combined with factors such as design treatment tonnage of the sewage treatment stations, simulation operation cost, space coordinate sets of the sewage treatment stations in the space unit and the like, the space position is organically combined with the sewage treatment coverage rate and the load rate of the sewage treatment stations, so that the purposes of not only maximally covering the sewage treatment service, but also keeping the reasonable load rate of the sewage treatment stations are achieved, and the total treatment tonnage of the sewage treatment stations is in the range of the total sewage treatment capacity, thereby determining the optimal recommended site selection scheme.
The formula for determining the total sewage treatment capacity of all the sewage treatment stations is as follows:
Figure BDA0003519267590000052
wyrepresents the total sewage treatment capacity of all sewage treatment stations;
Tirepresenting the designed sewage treatment total amount of the ith sewage treatment station;
Mirepresenting the construction investment of the ith sewage treatment station;
Firepresenting the load rate of the ith sewage treatment station;
Di[x y]represents the ith at a spatial coordinate value [ x y]Sewage treatment demand of sewage treatment stations;
Hirepresenting the operating cost of the ith sewage treatment station.
As shown in fig. 4, the arrangement positions of the sewage treatment stations in the natural village of 1#, 2#, 3# and 4# are different, the design data of each sewage treatment station is shown in the middle of fig. 4, the comprehensive sewage treatment design data of the natural village of 1#, 2#, 3# and 4# is shown in the right side of the figure, and the optimal recommended site selection scheme is comprehensively selected according to the sewage treatment coverage rate, the sewage treatment total capacity and the load rate of the sewage treatment stations, obviously, the scheme is more optimal.
Furthermore, the suitability evaluation result is fused into vector surface-shaped data, and a data management tools-feature-feature to-point tool concentrated by an Arcgis software platform ArcToolbox tool is utilized, and a space unit meeting the suitability requirement in the suitability evaluation result is taken as a conversion element; for example, in fig. 5, a natural village from which a space unit with low suitability is removed is taken as a vector plane, and four vector planes are totally changed from plane to point; each vector plane is generated with only one vector point representing the optimal position coordinate values of the sewage station within the range of the natural village. And determining four position coordinate values N1, N2, N3 and N4 of a sewage treatment station space coordinate value set, namely 1#, 2#, 3#, and 4# natural village.
And step S8, outputting the optimal recommended addressing scheme.
In addition, the application also provides a spatial site selection device for the sewage treatment station, which is used for determining the position of the sewage treatment station corresponding to each natural village site selection in a village, wherein the village refers to an area containing a plurality of natural villages and comprises the following steps:
the system comprises a weight determining module, a dynamic correction evaluation module and a dynamic correction evaluation module, wherein the weight determining module is used for dividing the selectable range of the construction land into a plurality of space units, calculating the weight of each factor by using a cluster decision expert data aggregation mode according to a site selection analysis evaluation system comprising each factor related to site selection analysis, and forming a factor weight matrix, wherein the factors comprise condition factors and dynamic correction evaluation factors;
the standardization processing module is used for calling factor data corresponding to the factors from the basic geographic information space database and carrying out standardization processing on the factor data;
the suitability evaluation module is used for substituting the standardized factor data and the factor weight matrix into a site selection analysis formula to obtain suitability indexes of the sewage treatment stations arranged in each space unit,
the site selection analysis formula is as follows:
Figure BDA0003519267590000061
Vyrepresenting the suitability index of the space unit in which the sewage treatment station is arranged;
Xirepresenting the value of the ith factor data in the site selection analysis and evaluation system after standardization treatment;
BVia weight value representing the ith factor in the factor weight matrix;
n denotes n factors.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A method for spatially addressing a wastewater treatment station, for locating the wastewater treatment station in correspondence with each natural village location within a village, the village being an area including a plurality of natural villages, the method comprising:
dividing the selectable range of the construction land into a plurality of space units, and performing weight calculation of each factor by using a cluster decision expert data aggregation mode according to a site selection analysis evaluation system comprising each factor related to site selection analysis to form a factor weight matrix, wherein the factors comprise condition factors and dynamic correction evaluation factors;
calling factor data corresponding to the factors from a basic geographic information space database, and carrying out standardization processing on the factor data;
substituting the standardized factor data and the factor weight matrix into a site selection analysis formula to obtain suitability indexes of sewage treatment stations arranged in each space unit,
the site selection analysis formula is as follows:
Figure FDA0003519267580000011
Vyrepresenting the suitability index of the space unit in which the sewage treatment station is arranged;
Xirepresenting the value of the ith factor data in the site selection analysis and evaluation system after standardization treatment;
BVia weight value representing the ith factor in the factor weight matrix;
n denotes n factors.
2. The method as claimed in claim 1, wherein after obtaining the suitability index of the sewage treatment station in each space unit, all natural villages and different positions of the sewage treatment station are combined to form a scheme combination, and then the scheme is compared from the scheme combination by combining design data of sewage treatment coverage rate, sewage treatment station load rate and sewage treatment total capacity to determine the optimal recommended site selection scheme.
3. A method for spatial siting of sewage treatment stations according to claim 2,
the formula for determining the total sewage treatment capacity of all the sewage treatment stations is as follows:
Figure FDA0003519267580000012
wyrepresents the total sewage treatment capacity of all sewage treatment stations;
Tirepresenting the designed sewage treatment total amount of the ith sewage treatment station;
Mirepresenting the construction investment cost of the ith sewage treatment station;
Firepresenting the load rate of the ith sewage treatment station;
di [ x y ] represents the sewage treatment demand of the ith sewage treatment station under the spatial coordinate value [ x y ];
Hirepresenting the operating cost of the ith sewage treatment station.
4. The spatial site selection method for the sewage treatment station as claimed in claim 1, wherein the suitability index is integrated into vector surface-shaped data, and a vector surface-to-vector point tool in a GIS software platform is utilized to determine the spatial coordinate set of the sewage treatment station.
5. The spatial site selection method for the sewage treatment station as claimed in claim 1, wherein each condition factor comprises factors corresponding to traffic reachable time, infrastructure conditions, service coverage requirements and natural environment conditions, and the dynamic correction evaluation factor comprises a natural village planning type and an economic development level in the upper planning.
6. A method for spatial siting of sewage treatment stations according to claim 1,
dividing the factors according to positive influence and negative influence, wherein the positive influence factors comprise: road network density, drainage network density, service coverage population range, safety isolation distance, engineering address condition, wind condition, natural village planning type in upper planning, economic development level,
the positive impact factor data normalization formula is:
Figure FDA0003519267580000021
negative impact factors include: the time consumed by walking from the natural village to the sewage treatment station and the time consumed by motor vehicles from the natural village to the sewage treatment station,
the negative impact factor data normalization formula is:
Figure FDA0003519267580000022
Xirepresenting the original factor layer data;
x represents factor layer data processed by a standardized formula;
Xmaxrepresenting the maximum value of the original factor layer data;
Xminrepresenting the minimum of the original factor layer data.
7. A method for spatial siting of wastewater treatment plants according to claim 1, characterized in that a set of qualitative comments is also established, representing the suitability index within a spatial unit in spatial position over a constructively selectable range.
8. The method for spatial siting of a wastewater treatment plant according to claim 1, wherein, before dividing the selectable area of the construction site into a plurality of spatial units, performing weight calculation of each factor by cluster decision expert data aggregation using a hierarchical analysis software according to an siting analysis evaluation system including each factor related to siting analysis, and establishing a factor weight matrix, the method further comprises:
collecting land resource data including land, population, roads, environment, pipe network and industry in a village, and establishing a basic geographic information space database;
and in the basic geographic information space database, the region without the planned land is defined as the selectable range of the construction land of the sewage treatment station.
9. A spatial site selecting apparatus for a sewage treatment station for locating the sewage treatment station corresponding to each natural village site within a village area including a plurality of natural villages, comprising:
the system comprises a weight determining module, a dynamic correction evaluation module and a dynamic correction evaluation module, wherein the weight determining module is used for dividing the selectable range of the construction land into a plurality of space units, calculating the weight of each factor by using a cluster decision expert data aggregation mode according to a site selection analysis evaluation system comprising each factor related to site selection analysis, and forming a factor weight matrix, wherein the factors comprise condition factors and dynamic correction evaluation factors;
the standardization processing module is used for calling factor data corresponding to the factors from the basic geographic information space database and carrying out standardization processing on the factor data;
the suitability evaluation module is used for substituting the standardized factor data and the factor weight matrix into a site selection analysis formula to obtain suitability indexes of the sewage treatment stations arranged in each space unit,
the site selection analysis formula is as follows:
Figure FDA0003519267580000023
Vyrepresenting the suitability index of the space unit in which the sewage treatment station is arranged;
Xirepresenting the value of the ith factor data in the site selection analysis and evaluation system after standardization treatment;
BVia weight value representing the ith factor in the factor weight matrix;
n denotes that there are n factors.
CN202210176708.7A 2022-02-24 2022-02-24 Spatial site selection analysis method and device for sewage treatment station Pending CN114691803A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115146426A (en) * 2022-07-12 2022-10-04 西安飞蜂智能科技有限公司 Rural sewage transfer station and treatment station planning method based on topological network data
CN116187624A (en) * 2023-04-23 2023-05-30 中国城市建设研究院有限公司 Public facility construction address judging method and device, storage medium and terminal

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115146426A (en) * 2022-07-12 2022-10-04 西安飞蜂智能科技有限公司 Rural sewage transfer station and treatment station planning method based on topological network data
CN115146426B (en) * 2022-07-12 2024-05-03 西安飞蜂智能科技有限公司 Rural sewage transfer station and treatment station planning method based on topology network data
CN116187624A (en) * 2023-04-23 2023-05-30 中国城市建设研究院有限公司 Public facility construction address judging method and device, storage medium and terminal
CN116187624B (en) * 2023-04-23 2023-08-01 中国城市建设研究院有限公司 Public facility construction address judging method and device, storage medium and terminal

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