A statistical management system and method for automatic processing of land acquisition and surveying data

Abstract

The invention discloses an automatic processing and statistical management system and method for land acquisition and relocation surveying and mapping data, and relates to the technical field of land acquisition and relocation surveying and mapping data management. The system comprises a data acquisition module, a data processing module, an intelligent data analysis module, an evaluation and decision support module and a visual display module which are operated in sequence. The scenario applied by the management system is aimed at a residential area or a district to be demolished, wherein the data acquisition module is used to obtain land acquisition and relocation surveying and mapping data in a selected target land acquisition and relocation area by using information collection technology. The technical key points are as follows: a reasonable demolition path is planned according to the value of a risk assessment indicator, which not only ensures the smooth progress of the demolition work, but also reduces the risk and cost in the demolition process, and an evaluation model is built to simulate the impact of demolition vibration on surrounding buildings, which provides a scientific basis for taking appropriate protective measures, thereby effectively reducing the safety risks in the demolition process.

Description

Technical Field

[0001] The present invention relates to the technical field of land acquisition and surveying data management, and in particular to a land acquisition and surveying data automatic processing statistical management system and method. Background Art

[0002] Traditional land acquisition and surveying data work involves a lot of manual operations, such as data calculation, annotation, mapping, printing, etc., which is not only time-consuming but also prone to errors. With the development of technology, especially in the fields of cloud computing technology, building tilt 3D model, computer-aided design (CAD), etc., automation and intelligent processing have become possible;

[0003] The traditional solution for land acquisition and surveying data management mainly revolves around key links such as data collection, organization, storage, query and analysis. The following is a specific explanation of this traditional solution: Data collection: Use traditional surveying instruments such as total stations and flatbed meters to conduct detailed measurements of terrain and landforms to obtain the plane position and height information of terrain points. Although this method has high accuracy, it is relatively inefficient and is greatly affected by environmental and human factors. Surveying and mapping personnel will conduct on-site surveys to understand the terrain and surrounding environment of the surveying and mapping range to provide an accurate basis for data collection.

[0004] Data collation: Classify and catalog the data according to its characteristics and application requirements, and establish a set of systematic data management standards and naming rules; for example, classify according to region, scale, surveying date and other standards, and then name and number them; formulate data metadata standards, describe and record relevant information of the data, such as data source, measuring instrument, measuring method, etc., to facilitate subsequent data sharing and utilization;

[0005] Data storage: Traditional solutions usually use physical storage media such as hard disks, optical disks, and tapes to store surveying and mapping data. These media have large storage capacity, but high management and maintenance costs. Establish a regular data backup mechanism to back up data to different storage media and store them in different physical locations to prevent data loss and damage.

[0006] Data query and analysis: Data query in traditional solutions mainly relies on manual operations, obtaining information by flipping through paper maps, drawings or using simple database query systems. This method is inefficient and prone to errors. Simple statistical analysis is performed on surveying and mapping data to extract useful information, such as land area, number of buildings, etc., to provide support for subsequent decision-making.

[0007] Output and utilization of results: Output of results: Draw topographic maps, cadastral maps and other results maps based on surveying and mapping data, and write surveying and mapping reports to display surveying and mapping results in the form of charts, texts, etc.; Submit surveying and mapping results to relevant departments or units for land acquisition and demolition planning, demolition compensation and other work;

[0008] Combining the above content and existing technologies, the digital transformation problems faced by enterprises in key business scenarios of land acquisition and surveying automation mainly include backward technical infrastructure, insufficient data processing capabilities, and shortage of surveying talents; traditional surveying methods often rely on manual operations, which are inefficient and error-prone, and difficult to adapt to large-scale, high-precision land acquisition needs; the need for digital transformation is urgent, and accurate control is required for land acquisition process management and demolition risk management. Summary of the invention

[0009] 1. Technical issues to be resolved

[0010] In view of the shortcomings of the prior art, the present invention provides a statistical management system and method for automatic processing of land acquisition and surveying data. According to the values ​​of risk assessment indicators, a reasonable demolition path is planned, which not only ensures the smooth progress of the demolition work, but also reduces the risks and costs in the demolition process. An assessment model is built to simulate the impact of demolition vibrations on surrounding buildings, which provides a scientific basis for taking appropriate protective measures, thereby effectively reducing the safety risks in the demolition process and solving the problems raised in the background technology.

[0011] (II) Technical solution

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0013] An automatic processing and statistical management system for land acquisition and surveying data, comprising:

[0014] The data collection module uses information collection technology to obtain resettlement surveying and mapping data in the selected target resettlement area;

[0015] The data processing module pre-processes the land acquisition and relocation surveying and mapping data, uses image recognition technology to identify and classify the buildings in the target land acquisition and relocation area, obtains several target buildings, and calculates the building area of ​​each target building;

[0016] The intelligent data analysis module builds a rule engine to perform secondary classification of several target buildings and obtain civil and commercial categories; in each category, the target buildings are obtained by age, and they are sorted in descending order according to age. Target buildings with the same age are set as target building groups;

[0017] The assessment and decision support module, under the condition that the target building is determined to be a civil building, will extract the actual building area and building structure framework from the relocation surveying data, combine the building age and building area as the assessment parameter set, build a cloud computing assessment model, generate the risk assessment index of the corresponding target building, and trigger the planning decision mechanism to generate the planned demolition path;

[0018] Under the condition that the target building is determined to be commercial, the original decision-making mechanism is triggered to generate the original demolition path;

[0019] In the visualization module, the target buildings in the target relocation area are displayed in a three-dimensional model, and the real-time demolition information is simultaneously displayed in the form of charts.

[0020] Furthermore, information collection technologies include but are not limited to integrated GPS, drone aerial photography, laser scanning technology, and retrieval of building and housing information records; land acquisition and surveying data include building images, actual building area, building location, and building structure framework.

[0021] Furthermore, the content of preprocessing the land acquisition and surveying data is data cleaning;

[0022] The process of using image recognition technology to obtain several target buildings is as follows:

[0023] Process the building images in the land acquisition and surveying data, including removing noise and enhancing contrast; use image segmentation technology to separate the buildings from the background; image segmentation technology includes any one of region-based segmentation, edge detection and threshold segmentation; extract building features from the separated buildings, including texture, color and shape; use machine learning algorithms to classify the extracted building features and classify the buildings into civil and commercial categories as preliminary classification results.

[0024] Furthermore, the process of calculating the building area of ​​each target building is as follows:

[0025] The edge detection algorithm and the contour detection algorithm are used to extract the contour of the target building. Based on the extracted contour of the target building, the floor area of ​​each target building is calculated, the number of pixels within the contour of the target building is counted, and the spatial resolution of the image is combined to obtain the floor area of ​​each target building.

[0026] Furthermore, the process of building a rule engine to perform secondary classification on the target building is as follows:

[0027] Definition rules: When the target building that is initially determined to be commercial has an area of ​​more than M square meters, and the city planning requires that only commercial buildings are allowed to be built there, the target building is determined to be commercial; when the target building that is initially determined to be civil has an area of ​​no more than P square meters, and the city planning requires that only civil buildings are allowed to be built there, the target building is determined to be civil; otherwise, a survey is dispatched to determine the building type;

[0028] Engine architecture: Use Drools as the rule engine framework and use DRL to write and define rules;

[0029] Execution logic: The preliminary classification results, the target building area and the urban planning requirements of the current building site are used as input, and secondary classification is performed through the Drools rule engine. The rule engine traverses all the rules in the defined rules, matches them according to the input content, and outputs the results of the matching.

[0030] Furthermore, the process of building a cloud computing evaluation model is as follows:

[0031] S101. When the building structure frame of the target building is a reinforced concrete structure, the building structure index is marked as 1; when the building structure frame of the target building is a non-reinforced concrete structure, the building structure index is marked as 2;

[0032] S102. Based on the actual building area, building floor area and building structure index, a risk calculation formula is constructed to generate a preliminary risk assessment value. The formula is as follows:

[0033]

[0034] In the formula, represents the risk assessment value, Represent the actual building area and the building footprint respectively, and ≥ , represents the building structure index;

[0035] S103. Based on the risk assessment value and the building age, a risk assessment index is generated. The formula used is as follows:

[0036]

[0037] In the formula, represents the risk assessment value, and Ge represents the building age.

[0038] Furthermore, according to the value of the risk assessment index, the demolition path is planned from large to small: in the target relocation area, the corresponding target building with the largest risk assessment index is taken as the starting point, and the corresponding target building with the smallest risk assessment index is taken as the end point. The path in between is planned in the order of risk assessment index from large to small, and the required planned demolition path is obtained; generating a predetermined demolition path means that the demolition path is planned and set in advance.

[0039] Furthermore, big data processing technologies include spatial data analysis and geographic information systems, which conduct in-depth analysis of land acquisition and surveying data. The analysis content is spatial correlation information, and the spatial correlation information includes but is not limited to: the distance and height difference between any marked target building and adjacent normal buildings;

[0040] The process of building an evaluation model is as follows:

[0041] Based on the mined spatial correlation information, combined with building structural mechanics and geology, an assessment model is established. The assessment model is used to simulate the vibration influencing factors generated during the demolition process, as well as the impact of vibration influencing factors on surrounding buildings. Through the calculation of the assessment model, a quantitative value of the impact degree on adjacent normal buildings during future demolition is obtained, that is, the peak vibration acceleration.

[0042] Furthermore, the simulation results are as follows:

[0043] When the peak acceleration of vibration during demolition simulation is less than the minimum set threshold, the impact level is recorded as level 1, and the grading strategy corresponding to level 1 is level 1 protection strategy, and no response is made;

[0044] When the peak acceleration of vibration during demolition simulation is between the set thresholds, the impact level is recorded as level 2, and the grading strategy corresponding to level 2 is level 2 protection strategy, and shock reduction measures are taken;

[0045] When the peak acceleration of vibration during simulated demolition is greater than the maximum set threshold, the impact level is recorded as level three, and the grading strategy corresponding to the level three is the level three protection strategy, which takes shock reduction measures + isolation protection measures.

[0046] A method for automatic processing and statistical management of land acquisition and surveying data comprises the following steps:

[0047] S1. Use information collection technology to obtain resettlement surveying and mapping data in the selected target resettlement area;

[0048] S2. Preprocess the land acquisition and relocation surveying and mapping data, use image recognition technology to identify and classify the buildings in the target land acquisition and relocation area, obtain several target buildings, and calculate the building area of ​​each target building;

[0049] S3. Build a rule engine to perform secondary classification on several target buildings and obtain civil and commercial categories; in each category, obtain the ages of the target buildings and sort them in descending order according to their ages. Target buildings with the same age are set as target building groups;

[0050] S4. If the target building is determined to be a civil building, the actual building area and building structure framework will be extracted from the relocation surveying data, and the building age and building area will be used as the evaluation parameter set to build a cloud computing evaluation model to generate risk assessment indicators for the target building, trigger the planning decision-making mechanism, and generate a planned demolition path;

[0051] Under the condition that the target building is determined to be commercial, the original decision-making mechanism is triggered to generate the original demolition path;

[0052] S5. The target buildings in the target relocation area are displayed in a three-dimensional model, and the real-time demolition information is simultaneously displayed in the form of charts.

[0053] (III) Beneficial effects

[0054] The present invention provides a system and method for automatically processing and statistically managing land acquisition and surveying data, which has the following beneficial effects:

[0055] (1) This solution uses a rule engine to perform secondary classification of target buildings, ensuring the accuracy and compliance of the classification results, and providing a reliable foundation for subsequent relocation work; secondly, by building a cloud computing assessment model, taking into account the actual area, structural framework, and floor area of ​​the building, and using building age data as a correction value, a scientific risk assessment index is generated, providing strong support for relocation decision-making; finally, based on the value of the risk assessment index, a reasonable demolition path is planned, which not only ensures the smooth progress of the demolition work, but also reduces the risk and cost of the demolition process;

[0056] On the one hand, it improves the accuracy and scientificity of land acquisition and relocation planning, and reduces decision-making errors and cost waste caused by inaccurate classification and unreasonable risk assessment; on the other hand, through reasonable demolition path planning, it optimizes the demolition process and reduces safety risks during the demolition process;

[0057] (2) The marking guidance submodule in this solution uses big data processing technology to deeply explore the spatial correlation information between the marked target building and the adjacent normal buildings, and then construct an evaluation model. This model can accurately simulate the impact of demolition vibration on surrounding buildings, providing a scientific basis for taking appropriate protective measures, thereby effectively reducing the safety risks during the demolition process; at the same time, the visualization display module presents key information such as demolition progress, speed and delay in real time in the form of three-dimensional models and charts, significantly improving the transparency and monitorability of the demolition work;

[0058] The application of this technical solution not only greatly improves the safety of demolition work, but also enhances the scientificity and convenience of decision-making by providing intuitive data display and evaluation report generation functions; managers can make more informed decisions based on accurate data and evaluation results, and then optimize demolition routes and protective measures to ensure the smooth progress of demolition work; in summary, this technical solution provides comprehensive technical support and guarantee for demolition work, and effectively promotes the intelligent and information construction in the field of land acquisition and relocation planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a modular schematic diagram of an automatic processing and statistical management system for land acquisition and surveying data in the present invention;

[0060] Figure 2 It is a schematic diagram of the overall process of a method for automatic processing and statistical management of land acquisition and surveying data in the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0062] See also Figure 1 This embodiment provides an automatic processing and statistical management system for land acquisition and surveying data, which includes a data acquisition module, a data processing module, an intelligent data analysis module, an evaluation and decision support module, and a visual display module that run in sequence; the scenario in which the management system is applied is for the residential area or area to be demolished;

[0063] Data acquisition module:

[0064] In the selected target resettlement area, use information collection technology to obtain resettlement surveying and mapping data;

[0065] Among them, information collection technologies include but are not limited to: integrated GPS, drone aerial photography, laser scanning technology, and building and housing information filing and retrieval;

[0066] It should be noted that: Integrated GPS (Global Positioning System):

[0067] Technical principle: GPS receives signals from multiple satellites and uses the principle of triangulation to determine the precise location of ground points; Application method: In the relocation area, workers can carry GPS equipment in advance to locate key locations such as corners and boundaries of buildings, thereby accurately measuring the building's footprint and outline; these data provide the basis for subsequent building area calculations and structural design, and are usually obtained in the early stages of construction;

[0068] Drone aerial photography:

[0069] Technical principle: drones are equipped with high-resolution cameras or laser radars to obtain ground image data through flight photography; Application method: drones can fly at low altitudes over the relocation area to take photos of the tops and sides of buildings, and even perform 3D modeling. These image data are processed to extract information such as the building's outline, height, and area;

[0070] Laser scanning technology:

[0071] Technical principle: The laser scanner emits a laser beam and receives the reflected signal, and determines the distance to the target point by calculating the time difference or phase difference; Application method: In the relocation area, the laser scanner can be placed in a fixed position or on a mobile platform to perform a full-scale, high-precision scan of the building; after the scan data is processed, a three-dimensional point cloud model of the building can be generated, and then detailed information such as the building's footprint, actual area, and structural framework can be extracted;

[0072] Building and housing information filing and retrieval:

[0073] Technical principle: By accessing the database or archive system of relevant government departments, the filing information of the building can be retrieved; Application method: Before the relocation work begins, the staff can apply to the local housing and construction, planning and other departments to retrieve the building information in the target relocation area; this information includes the building's floor area, building area and structural type;

[0074] Comprehensive Application

[0075] In actual operation, these technologies often need to be applied in combination to obtain more comprehensive and accurate data; for example, GPS can be used for preliminary positioning, and then UAV aerial photography and laser scanning technology can be combined for detailed mapping, and finally the building information record can be retrieved for verification and supplementation; this can not only improve the mapping efficiency, but also ensure the accuracy and completeness of the data; in summary, by integrating GPS, UAV aerial photography, laser scanning technology, building information record retrieval and other advanced information collection technologies, it is possible to efficiently and accurately obtain land acquisition and relocation mapping data, providing a solid data foundation for subsequent land acquisition and relocation planning, design, construction and other work;

[0076] Land acquisition and surveying data include building pictures, actual building area, building location and building structure framework;

[0077] Data processing module:

[0078] Pre-process the land acquisition and relocation surveying and mapping data, use image recognition technology to identify and classify the buildings in the target land acquisition and relocation area, obtain several target buildings, and calculate the building area of ​​each target building;

[0079] The content of preprocessing the land acquisition and surveying data is data cleaning;

[0080] The process of using image recognition technology to obtain several target buildings is as follows:

[0081] Preprocess the building images in the land acquisition and surveying data, including removing noise, enhancing contrast, adjusting brightness, etc., to improve the accuracy of subsequent image recognition and classification; use image segmentation technology to separate the building from the background; image segmentation technology includes any one of region-based segmentation, edge detection, and threshold segmentation; extract building features from the separated buildings, including texture, color, and shape; use machine learning algorithms to classify the extracted building features, and preliminarily classify the buildings into civil and commercial categories as preliminary classification results;

[0082] Machine learning algorithms include trained support vector machines or convolutional neural networks;

[0083] For example: Use region-based image segmentation technology to separate buildings from backgrounds such as trees and roads; extract color, texture, and shape features from each building area; apply the trained convolutional neural network model to classify these features and divide buildings into civil and commercial categories;

[0084] The process of calculating the building footprint of each target building is as follows:

[0085] Use edge detection algorithms (such as Canny edge detection) and contour detection algorithms (such as findContours function in OpenCV) to extract the contours of the target buildings; calculate the floor area of ​​each target building based on the extracted contours of the target buildings, count the number of pixels within the contours of the target buildings, and combine the spatial resolution of the image to obtain the actual floor area of ​​each target building;

[0086] Calculation of building area:

[0087] For each classified building, the Canny edge detection algorithm is used to extract edge information;

[0088] Use the findContours function to detect the outline of the building in the edge information;

[0089] The area occupied by each building is calculated based on the number of pixels within the outline and the spatial resolution of the image (such as each pixel represents 0.1 square meters); for example, the number of pixels within the outline of a residential building is 10,000, and the spatial resolution of the image is 0.1 square meters / pixel, then the area occupied by the residential building is 1,000 square meters.

[0090] By adopting the above technical solutions, integrating multiple technologies such as GPS, drone aerial photography, laser scanning and building information filing and retrieval, we have achieved comprehensive and high-precision mapping of buildings in the relocation area, effectively improving the efficiency and accuracy of data acquisition; secondly, by pre-processing and classifying building images through image recognition technology, we can automatically identify and distinguish different types of buildings, providing strong support for subsequent relocation planning and decision-making; at the same time, we use edge detection and contour detection algorithms to accurately calculate the building area, ensuring the accuracy and reliability of the data;

[0091] On the one hand, the application of the above-mentioned scheme has greatly improved the efficiency and automation level of land acquisition and surveying work, reduced the investment of manpower and material resources, and shortened the surveying cycle; on the other hand, through the comprehensive application of various technical means, the comprehensiveness and accuracy of surveying data are ensured, providing a solid data foundation for land acquisition planning, design, construction and other work; in addition, the scheme can also effectively distinguish the types of buildings, provide a scientific basis for land acquisition compensation, resettlement and other work, and help improve the fairness and transparency of land acquisition work; in summary, this technical scheme has broad application prospects and important practical value in the field of land acquisition and surveying.

[0092] Intelligent data analysis module:

[0093] Build a rule engine (i.e. introduce surveying and mapping specifications) to perform secondary classification of several target buildings into civil and commercial categories; obtain the ages of target buildings in each category, sort them in descending order according to their ages, and set target buildings of the same age as target building groups;

[0094] The process of building a rule engine to perform secondary classification of target buildings is as follows:

[0095] Definition rules: When the target building initially determined as commercial type covers an area of ​​more than M square meters, and the city planning requires that only commercial buildings are allowed to be built there, the target building is determined to be commercial type; when the target building initially determined as civil type covers an area of ​​no more than P square meters, and the city planning requires that only civil buildings are allowed to be built there, the target building is determined to be civil type; otherwise, personnel are dispatched to investigate and determine the building type (indicates that if the result after the second determination is different from the result of the first determination, active investigation and evidence collection is required, and generally the results of the first determination and the second determination are the same); the values ​​of M and P are both greater than 0 and are positive integers; in this embodiment, M=1000, P=500;

[0096] Engine architecture: Use Drools as the rule engine framework and use DRL to write defined rules;

[0097] Execution logic: The preliminary classification results, the target building area, and the urban planning requirements of the current building site are used as inputs, and secondary classification is performed through the Drools rule engine; the rule engine traverses all the rules in the defined rule library, matches them according to the input content, and outputs the results of the matching judgment;

[0098] In Drools, we can use DRL (Drools Rule Language) to write rules;

[0099] Here is an example of a simple rule:

[0100] rule "LargeBuildingRule"

[0101] when

[0102] $building : Building (area > 1000, urban planning requirements: commercial building)

[0103] then

[0104] $building.setClassification("Commercial Class");

[0105] end

[0106] This rule means that if the building’s floor area is greater than 1,000 square meters and the city planning requires: commercial buildings, then it is classified as commercial;

[0107] The building age of the target building can also be obtained through the building and housing information filing.

[0108] Assessment and decision support modules:

[0109] Under the condition that the target building is determined to be a civil building, the actual building area and building structure framework extracted from the relocation surveying and mapping data are combined with the building age and building area as the evaluation parameter set to build a cloud computing evaluation model, generate the risk assessment index of the corresponding target building, and trigger the planning decision-making mechanism. In the target relocation area, according to the value of the risk assessment index, the demolition path is planned from large to small. When the relocation surveying and mapping data in the target building complex are consistent, the established demolition path is generated;

[0110] Under the condition that the target building is determined to be commercial, the original decision-making mechanism is triggered to generate the original demolition path;

[0111] The process of building a cloud computing assessment model is as follows:

[0112] S101. When the building structure frame of the target building is a reinforced concrete structure, the building structure index is marked as 1; when the building structure frame of the target building is a non-reinforced concrete structure, the building structure index is marked as 2;

[0113] S102. Based on the actual building area, building floor area and building structure index, a risk calculation formula is constructed to generate a preliminary risk assessment value. The formula is as follows:

[0114]

[0115] In the formula, represents the risk assessment value, Represent the actual building area and the building footprint respectively, and ≥ , represents the building structure index;

[0116] Logical explanation: Ratio of the actual building area to the building footprint: This ratio reflects the building's utilization efficiency and spatial compactness; the larger the ratio, the higher the actual usable area of ​​the building on a given footprint, but it may also mean that the structure is more complex or crowded, thereby increasing certain risks; Building structural frame: The building structural frame has an important impact on the stability and safety of the building; reinforced concrete structures usually have good earthquake resistance and durability, so the risk is relatively low and is assigned a value of 1; while non-reinforced concrete structures may be slightly inferior in this regard and are assigned a value of 2 to reflect their relatively high risk;

[0117] S103. Based on the risk assessment value and the building age, a risk assessment index is generated. The formula used is as follows:

[0118]

[0119] In the formula, represents the risk assessment value, Ge represents the building age; if the target building is a target building group, the corresponding parameter is the average value, for example: the building age of the target building group is the same as the building age of any target building;

[0120] Logic explanation: Building age correction: Building age is measured in years. Assume that the risk of a building doubles every 100 years. Therefore, we divide the building age by 100 and add 1 to the risk assessment value to reflect the impact of building age on risk. In this way, as the building age increases, the risk assessment index will also increase accordingly.

[0121] An example of overallness:

[0122] Assume that the actual area of ​​the target building is 1,000 square meters, the floor area is 500 square meters, the building structure frame is reinforced concrete structure = 1, and the building age is 20 years.

[0123] Calculate the risk assessment value = 1000 / 500×1=2;

[0124] Calculate the risk assessment index = 2 × (1 + 0.2) = 2.4;

[0125] Therefore, the risk assessment index of the target building is 2.4, which takes into account factors such as the actual area, structural framework, floor space and building age of the building, and provides a simplified quantitative index for the risk assessment of the building;

[0126] According to the value of risk assessment index, the demolition path is planned from large to small:

[0127] In the target demolition and relocation area, the corresponding target building with the largest risk assessment index is taken as the starting point, and the corresponding target building with the smallest risk assessment index is taken as the end point. The path in between is planned in the order of risk assessment index from large to small, so as to obtain the required planned demolition path;

[0128] Generating a predetermined demolition path means that the demolition path is artificially planned and set;

[0129] It should be noted that commercial buildings are located on both sides of the road, and their demolition work may indeed have a direct impact on the surrounding road traffic. In order to ensure smooth and safe traffic, it is reasonable to plan the demolition according to the established route to reduce interference with road traffic. This approach helps maintain urban traffic order and reduce traffic congestion and safety hazards caused by demolition.

[0130] By adopting the above technical solutions, the technical problems of inaccurate building classification, lack of scientific basis for risk assessment and unreasonable demolition path planning in the relocation planning were solved; firstly, the target buildings were secondary classified by using the rule engine to ensure the accuracy and compliance of the classification results, providing a reliable foundation for the subsequent relocation work; secondly, by building a cloud computing assessment model, the actual area, structural framework and floor area of ​​the building were comprehensively considered, and the building age data was used as the correction value to generate scientific risk assessment indicators, which provided strong support for the relocation decision-making; finally, according to the value of the risk assessment indicator, a reasonable demolition path was planned, which not only ensured the smooth progress of the demolition work, but also reduced the risks and costs in the demolition process;

[0131] On the one hand, it improves the accuracy and scientific nature of resettlement planning, and reduces decision-making errors and cost waste caused by inaccurate classification and unreasonable risk assessment; on the other hand, through reasonable demolition route planning, it optimizes the demolition process and reduces safety risks during the demolition process; in summary, this technical solution provides strong technical support and guarantee for urban renewal and old district renovation.

[0132] The Assessment and Decision Support Module also includes: Marking Guidance Submodule:

[0133] In the generated demolition path, target buildings adjacent to normal buildings are marked. The spatial correlation information between any marked target building and adjacent normal buildings is mined through big data processing technology. An evaluation model is constructed after analysis. After simulation of the evaluation model, a grading strategy is implemented for the marked target buildings according to the simulation results. The results of the grading strategy are marked on the marked target buildings, so that management personnel can provide guidance on protective measures for the marked target buildings with marked results before directing demolition personnel to perform demolition operations.

[0134] Among them, big data processing technologies include:

[0135] Spatial data analysis and geographic information system (GIS) to conduct in-depth analysis of land acquisition and surveying data. The analysis content is spatial correlation information, and the spatial correlation information includes but is not limited to: the distance and height difference between any marked target building and adjacent normal buildings, so as to reveal the spatial correlation and mutual influence between buildings;

[0136] The process of building an evaluation model is as follows:

[0137] Based on the mined spatial correlation information, combined with building structural mechanics and geology, an assessment model is established to simulate the vibration influencing factors that may be generated during the demolition process, as well as the potential impact of the influencing factors on surrounding buildings. Through the calculation of this assessment model, a quantitative value of the impact of future demolition on adjacent normal buildings is obtained;

[0138] The simulation results are as follows:

[0139] When the peak acceleration of vibration during demolition simulation is less than the minimum set threshold, the impact level is recorded as level 1, which means it is slight and is not expected to cause structural damage to the building; and the grading strategy corresponding to level 1 is level 1 protection strategy, with no response;

[0140] When the peak acceleration of vibration during demolition simulation is between the set thresholds, the impact level is recorded as level 2, which means medium, and may cause slight cracks or decoration falling off in the non-load-bearing structures of the building (such as walls and ceilings); and the grading strategy corresponding to level 2 is the level 2 protection strategy, which takes shock reduction measures and reinforces non-load-bearing structures in advance;

[0141] When the peak acceleration of vibration during demolition simulation is greater than the maximum set threshold, the impact level is recorded as level 3, which means it is serious and may cause damage to the load-bearing structure of the building, such as cracks in beams and columns, affecting the overall stability of the building; and the grading strategy corresponding to the level 3 is the level 3 protection strategy, which adopts shock absorption measures + isolation protection measures, pre-reinforces the non-load-bearing parts, and adds protective panels between the target building and the adjacent normal buildings;

[0142] Among them, the set threshold represents 0.05g to 0.1g;

[0143] Visual display module:

[0144] The target buildings in the target relocation area are displayed in 3D models, and real-time demolition information is simultaneously displayed in charts;

[0145] Demolition information includes:

[0146] Demolition progress: demolition area / total area;

[0147] Demolition speed: the area demolished per unit time;

[0148] Delay situation: comparison between actual demolition time and planned demolition time.

[0149] To sum up, for the data acquisition module, the homepage in the system design provides a "data acquisition" entrance, which guides the user to enter the data acquisition interface and displays the data acquisition progress and data preview in real time; the feedback of the data processing module in the system interface is: the system provides a data processing progress bar and result preview, and the user can view the processing effect in real time; the feedback of the intelligent data analysis module in the system interface is: the analysis results are intuitively displayed in the form of charts, graphs, etc., and the user can quickly obtain key data indicators; the feedback of the evaluation and decision support module in the system interface is: it provides an evaluation report generation function, and the user can export the evaluation results with one click, which is convenient for subsequent decision-making and reporting; the feedback of the visualization display module in the system interface is: the system homepage and each functional module provide a visualization display area, and the user can intuitively understand the system status and data status.

[0150] The land acquisition and relocation surveying and mapping data can not only be used as guiding parameters for calculating risk assessment indicators, but also provide a basis and reference for subsequent simulation assessment work, thereby making full use of the land acquisition and relocation surveying and mapping data.

[0151] By adopting the above technical solutions, the system successfully solved the core problems of building safety risks and opaque demolition information that may be faced during the demolition process. Specifically, the marking guidance submodule uses big data processing technology to deeply explore the spatial correlation information between the marked target building and the adjacent normal buildings, and then constructs an evaluation model. This model can accurately simulate the impact of demolition vibration on surrounding buildings, providing a scientific basis for taking appropriate protective measures, thereby effectively reducing the safety risks during the demolition process. At the same time, the visualization display module presents key information such as demolition progress, speed and delay in real time in the form of three-dimensional models and charts, which significantly improves the transparency and monitorability of the demolition work.

[0152] The application of this technical solution not only greatly improves the safety of demolition work, but also enhances the scientificity and convenience of decision-making by providing intuitive data display and evaluation report generation functions; managers can make more informed decisions based on accurate data and evaluation results, and then optimize demolition routes and protective measures to ensure the smooth progress of demolition work; in summary, this technical solution provides comprehensive technical support and guarantee for demolition work, and effectively promotes the intelligent and information construction in the field of land acquisition and relocation planning.

[0153] Also includes:

[0154] System integration and testing module:

[0155] Function description: Responsible for the integration and testing of various modules to ensure that the various functional modules of the system work together normally and can run stably; support automated test scripts to improve test efficiency and accuracy; interface feedback: provide test report and log viewing functions to help developers quickly locate and solve problems;

[0156] Specifically, for land acquisition and relocation surveying and mapping, a corresponding automated surveying and mapping system is designed and used as a component or core part of the entire statistical management system:

[0157] In traditional land acquisition and relocation surveying and mapping, each piece of data needs to be manually drawn, calculated, annotated, mapped, printed, and managed through tedious processes. The automated system can generate all the required data and graphics with one click, greatly reducing the workload. Specifically, the application of the automated system means that the workload that originally took one person five days to complete can now be completed in just three hours, and at the same time, it can save at least half of the time in the quality inspection process. This innovation not only improves work efficiency, but also ensures the accuracy of surveying and mapping data, providing strong support for the smooth progress of the old city renovation project.

[0158] Specifically, automated project operation management includes:

[0159] 1. Structural type management

[0160] Structural type management mainly includes adding, editing, and deleting structural types and area weights. After this module is set up, the structural types in all area automation projects will follow this module;

[0161] 2. Database Management

[0162] Database management mainly includes: automatically creating database tables for each automation project (creating databases separately for each project), automatically creating fields in the necessary database tables within the project, managing database status, managing the content of each field in the database table, and manually creating special fields and types according to the needs of each project (for example, adding a radio button field, defining the content by yourself, etc.); the automatically created database tables are divided into main tables and sub-tables. The main table mainly stores the main information of the building, and the sub-table mainly stores the information of each unit in the building;

[0163] 3. Project List

[0164] This template creates, modifies, and deletes automation projects based on the created database, and updates the data display in the details based on the automation projects. For newly added projects, you can set: the status of the project, whether to calculate the building area below 2.20 meters for the CAD result data of the project, the number of decimal places retained for the CAD result size data, project map upload, reference to the building structure (for each project type, select the building structure that meets the requirements of the project), and the authority of the operator to operate the project, etc.; operate according to the content prompts;

[0165] IV. Project Details

[0166] This module is used to display the house details of each project. The main functions include: adding houses, extracting and modifying house attributes, deleting houses, setting house status, batch printing drawings, batch merging and exporting drawings, merging multiple houses, etc. In the newly added house function: the number of floors and house structure of the house automatically extract the data in the house attributes without manual entry; the rest of the functions are operated according to the prompts; graphic operation: after clicking Save, the graphic file is automatically uploaded and saved to the server, and all drawings in this interface can be batch printed with one click; operation by house unit: you can click to extract and modify, or close the line to extract and modify; the unit number in the pop-up window of the request function is automatically generated and cannot be modified Modify and repeat, the number of floors is manually input, and the house attribute table below is linked (the corresponding number of house attribute table rows is automatically generated according to the input number of floors); the default area is fully calculated. If you encounter non-top buildings such as courtyards and vacant land, please click not to count; click Submit immediately after the operation is completed, and the data will be automatically saved to the corresponding database of the server (the extracted information attributes will be displayed in the project details table at any time); after all units are extracted, the check extraction function can be used to check for leaks; the rest are additional graphic operation functions, which can be operated according to needs; operate by layered house: compared with the operation by building, it is simpler, and all the graphics of the house can be operated with just one click, as follows:

[0167] 4.1.1 Batch printing of drawings: supports one-click operation, batch printing of all house drawings displayed in the current interface, and improves printing efficiency; 4.1.2 Batch merge and export drawings: provides the function of batch merging drawings and exporting, which is convenient for users to perform batch processing and file sharing; 4.1.3 Graphic operation: One-click drawing: One of the core functions, after automatically generating standard data, the drawing area, structure and floor height data will be automatically generated and uploaded to the database. Modify floor height and structure: allow users to flexibly adjust the floor height and structure of the house; switch between full calculation and half calculation: provide switching of calculation methods to meet the calculation needs in different scenarios; modify unit number: allow users to modify the unit number of the house for easy management and identification; check and extract: perform data check and extraction operations to ensure the accuracy and completeness of the data; batch calculate ownership: batch process ownership calculation to improve processing efficiency; solid line and dotted line conversion: fast conversion of solid lines and dotted lines in drawings; one-click quality inspection: the second core function, quality inspection of generated data and drawings to ensure the quality of output results; 4.1.4 Automated processing: when the graphic operation is completed, the system will automatically perform a series of operations, including data upload, table export, and drawing file upload to the server, and push it to the next processing link according to the preset workflow to achieve automated management of the entire process;

[0168] V. Change Approval

[0169] Once the house graphics results in each project have been submitted to the owner, the graphic files will no longer be able to be operated. An application for graphic changes must be made, and the changes must be approved by all levels before they can be modified. The main functions of this module are: the management level approves the changed houses of each project, and the approval is standardized according to the change application process.

[0170] Main research and development contents of the project:

[0171] The main research and development content of this project is to develop a set of "demolition surveying and mapping system software", and the main functions of the development include:

[0172] (1) Requirements analysis and definition: determine the functional requirements and user needs of the system, analyze the specific needs and goals of demolition surveying and mapping, and clarify the basic functions and characteristics of the system; (2) System architecture design: design the overall architecture of the system, including database design, data processing flow, front-end interface and user interaction design, etc., to ensure the completeness and efficiency of the system functions; (3) Data collection and processing: carry out on-site data collection work, obtain data on houses and buildings in the demolition area, and perform data cleaning, processing and integration to ensure the accuracy and completeness of the data; (4) Image recognition technology application: develop image recognition algorithms to realize the identification and classification of buildings and houses, and improve the precision and accuracy of surveying and mapping data. ; (5) Intelligent data analysis: Introduce surveying and mapping specifications, conduct intelligent analysis of surveying and mapping data, such as building area calculation, building structure identification, etc., to provide data analysis and decision support; (6) Visual display interface: Design an intuitive data visualization display interface, present surveying and mapping data in the form of charts, graphs, etc., and provide a user-friendly operation interface and data display method; (7) System integration and testing: Integrate each module into the system, conduct overall system testing and debugging, and ensure that the various functional modules of the system work together normally and can run stably; (8) Security and privacy protection: Design data security mechanisms and privacy protection strategies to ensure data security and compliance, and prevent data leakage and theft;

[0173] The demolition surveying and mapping system developed in this project is rich in functions and highly practical. It introduces the concept of automated data processing, realizes intelligent processing and analysis of surveying and mapping data, improves data processing efficiency and accuracy, uses big data processing technology to realize rapid analysis and mining of large-scale surveying and mapping data, realizes the associated spatial analysis of buildings, provides a more intuitive way to display surveying and mapping data, increases user experience and decision support, designs a real-time monitoring and feedback system, realizes real-time processing and correction of data, improves data processing efficiency and accuracy, and greatly improves the work efficiency of surveying and mapping business and shortens working time;

[0174] In order to realize the development of the main functions of the software of this project, the key technologies adopted in this project include:

[0175] (1) Development architecture based on Apache2.4.39+PHP7.1.9+MYSQL5.7.26; (2) Based on CADocx controls; (3) Based on Alibaba Cloud ECS (Elastic Compute Service) cloud computing platform using cloud computing information and communication technology:

[0176] a) Implement image recognition technology for high-precision building and house identification to improve the accuracy of surveying and mapping data; b) Implement intelligent data processing and analysis functions, including building area calculation, building classification and other functions, to improve the efficiency and accuracy of surveying and mapping data processing; c) Use big data processing and storage technology to enable large-scale surveying and mapping data, improve system processing capabilities and efficiency; d) Support multi-user simultaneous access and data sharing to improve system performance and scalability; e) Real-time monitoring and feedback can promptly detect data anomalies and problems, and can promptly process and correct them to ensure data accuracy and reliability;

[0177] The land acquisition and relocation automation system effectively solves a series of problems in the land acquisition and relocation process through digital means, and has brought remarkable results:

[0178] Improve quality: The automation system realizes accurate and rapid processing of relocation data, avoids human errors, ensures the accuracy and completeness of data, provides a reliable basis for relocation work, and greatly improves the quality of relocation work; Reduce costs: Through the optimization of automated processes, the circulation of paper documents and manual review links are reduced, and administrative costs are reduced; at the same time, accurate measurement and evaluation reduce unnecessary compensation disputes and further control relocation costs; Increase efficiency: The automation system speeds up the relocation surveying and mapping process, and realizes automation throughout the process from data processing, quality inspection to execution, which significantly improves work efficiency and overall service level; Green: The system promotes electronic documents, reduces paper use, conforms to the concept of green office, and is conducive to environmental protection; Safe: The data encryption and permission control functions integrated in the automation system ensure the safe transmission and storage of relocation data and prevent information leakage; In addition, the system's auxiliary surveying and mapping operation management throughout the process reduces the risks and hidden dangers at the operation site and ensures the fairness and safety of relocation work;

[0179] To sum up, the automation scenario case of land acquisition and surveying is highly replicable and promotable in the industry; this case avoids human errors and improves the quality of surveying through accurate and fast data processing, reflecting the common needs of small and medium-sized enterprises for improving quality and efficiency; at the same time, automated process optimization reduces costs, and accurate measurement reduces compensation disputes, effectively solving the problem of large-scale investment of personnel and other cost control problems in the land acquisition and surveying process for small and medium-sized enterprises; in addition, its cost-effective solutions, such as the introduction of automation technology and workload systems, reduce the circulation of paper documents, improve work efficiency, and have a high return on investment, which is worthy of wide promotion and application by small and medium-sized enterprises.

[0180] Security and privacy protection module:

[0181] Functional description: Design data security mechanisms and privacy protection strategies to ensure data security and compliance; use encryption technology to protect the security of data transmission and storage, and set up strict permission control mechanisms to prevent data leakage and theft; Interface feedback: The system provides a security setting entrance, and users can customize security policies, such as password strength requirements, access control, etc.

[0182] An example of overallness:

[0183] Taking a city renovation project as an example, the system first obtains detailed information on houses and buildings in the demolition area through the data acquisition module; then, the data processing module cleans and preprocesses the collected data, uses image recognition technology to identify building types, and calculates the building area; the intelligent data analysis module conducts demolition risk assessment based on the processed data; the assessment and decision support module generates multiple sets of demolition paths based on the analysis results, and evaluates the impact on surrounding buildings and provides guidance strategies; finally, through the visualization module, the demolition path and guidance strategy plan are presented to decision makers in the form of maps and three-dimensional models to assist them in making scientific decisions. Example 2

[0184] See also Figure 2 Based on Example 1, this embodiment also provides a method for automatic processing and statistical management of land acquisition and surveying data, including the following specific steps:

[0185] S1. Use information collection technology to obtain resettlement surveying and mapping data in the selected target resettlement area;

[0186] S2. Preprocess the land acquisition and relocation surveying and mapping data, use image recognition technology to identify and classify the buildings in the target land acquisition and relocation area, obtain several target buildings, and calculate the building area of ​​each target building;

[0187] S3. Build a rule engine to perform secondary classification on several target buildings and obtain civil and commercial categories; in each category, obtain the ages of the target buildings and sort them in descending order according to their ages. Target buildings with the same age are set as target building groups;

[0188] S4. If the target building is determined to be a civil building, the actual building area and building structure framework will be extracted from the relocation surveying data, and the building age and building area will be used as the evaluation parameter set to build a cloud computing evaluation model to generate risk assessment indicators for the target building, trigger the planning decision-making mechanism, and generate a planned demolition path;

[0189] Under the condition that the target building is determined to be commercial, the original decision-making mechanism is triggered to generate the original demolition path;

[0190] S5. The target buildings in the target relocation area are displayed in a three-dimensional model, and the real-time demolition information is simultaneously displayed in the form of charts.

[0191] In the application, the several formulas involved are all calculated by taking their numerical values ​​after removing the dimensions, and the formulas are established by collecting a large amount of data and performing software simulation to obtain a formula for the most recent actual situation. Some coefficients or weights in the formulas are set by technical personnel in this field according to actual conditions, so they will not be elaborated here.

[0192] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0193] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0194] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A system for automatically processing and statistically managing land acquisition and surveying data, characterized in that: The system includes: The data collection module uses information collection technology to obtain resettlement surveying and mapping data in the selected target resettlement area; The data processing module pre-processes the land acquisition and relocation surveying and mapping data, uses image recognition technology to identify and classify the buildings in the target land acquisition and relocation area, obtains several target buildings, and calculates the building area of ​​each target building; The intelligent data analysis module builds a rule engine to perform secondary classification of several target buildings and obtain civil and commercial categories; in each category, the target buildings are obtained by age, and they are sorted in descending order according to age. Target buildings with the same age are set as target building groups; The assessment and decision support module, under the condition that the target building is determined to be a civil building, will extract the actual building area and building structure framework from the relocation surveying data, combine the building age and building area as the assessment parameter set, build a cloud computing assessment model, generate the risk assessment index of the corresponding target building, and trigger the planning decision mechanism to generate the planned demolition path; Under the condition that the target building is determined to be commercial, the original decision-making mechanism is triggered to generate the original demolition path; The process of building a cloud computing evaluation model is as follows: S101. When the building structure frame of the target building is a reinforced concrete structure, the building structure index is marked as 1; when the building structure frame of the target building is a non-reinforced concrete structure, the building structure index is marked as 2; S102. Based on the actual building area, building floor area and building structure index, a risk calculation formula is constructed to generate a preliminary risk assessment value. The formula is as follows: In the formula, represents the risk assessment value, Represent the actual building area and the building footprint respectively, and ≥ , represents the building structure index; S103. Based on the risk assessment value and the building age, a risk assessment index is generated. The formula used is as follows: In the formula, represents the risk assessment value, Ge represents the building age; According to the value of the risk assessment index, the demolition path is planned from large to small: in the target relocation area, the corresponding target building with the largest risk assessment index is taken as the starting point, and the corresponding target building with the smallest risk assessment index is taken as the end point. The path in between is planned in the order of risk assessment index from large to small, and the required planned demolition path is obtained; generating a predetermined demolition path means that the demolition path is planned and set in advance; In the visualization module, the target buildings in the target relocation area are displayed in a three-dimensional model, and the real-time demolition information is simultaneously displayed in the form of charts.

2. The automatic processing and statistical management system for land acquisition and relocation surveying and mapping data according to claim 1 is characterized by: Information collection technologies include but are not limited to integrated GPS, drone aerial photography, laser scanning technology, and retrieval of building and housing information records; land acquisition and surveying data include building images, actual building area, building location, and building structure framework.

3. The automatic processing and statistical management system for land acquisition and surveying data according to claim 1 is characterized by: The content of preprocessing the land acquisition and surveying data is data cleaning; The process of using image recognition technology to obtain several target buildings is as follows: Process the building images in the land acquisition and surveying data, including removing noise and enhancing contrast; use image segmentation technology to separate the buildings from the background; image segmentation technology includes any one of region-based segmentation, edge detection and threshold segmentation; extract building features from the separated buildings, including texture, color and shape; use machine learning algorithms to classify the extracted building features and classify the buildings into civil and commercial categories as preliminary classification results.

4. The automatic processing and statistical management system for land acquisition and relocation surveying and mapping data according to claim 1 is characterized by: The process of calculating the building footprint of each target building is as follows: The edge detection algorithm and the contour detection algorithm are used to extract the contour of the target building. Based on the extracted contour of the target building, the floor area of ​​each target building is calculated, the number of pixels within the contour of the target building is counted, and the spatial resolution of the image is combined to obtain the floor area of ​​each target building.

5. The automatic processing and statistical management system for land acquisition and surveying data according to claim 3 is characterized by: The process of building a rule engine to perform secondary classification of target buildings is as follows: Definition rules: When the target building initially determined to be commercial has an area of ​​more than M square meters, and the city planning requires that only commercial buildings are allowed to be built there, the target building is determined to be commercial; When the target building initially determined to be of civil type has an area of ​​no more than P square meters, and the urban planning requires that only civil buildings are allowed to be built there, the target building is determined to be of civil type; Otherwise, a survey will be sent to determine the building type; Engine architecture: Use Drools as the rule engine framework and use DRL to write and define rules; Execution logic: The preliminary classification results, the target building area and the urban planning requirements of the current building site are used as input, and secondary classification is performed through the Drools rule engine. The rule engine traverses all the rules in the defined rules, matches them according to the input content, and outputs the results of the matching.

6. The automatic processing and statistical management system for land acquisition and surveying data according to claim 1 is characterized by: Big data processing technologies include spatial data analysis and geographic information systems, which conduct in-depth analysis of land acquisition and surveying data. The analysis content is spatial correlation information, and the spatial correlation information includes but is not limited to: the distance and height difference between any marked target building and adjacent normal buildings; The process of building an evaluation model is as follows: Based on the mined spatial correlation information, combined with building structural mechanics and geology, an assessment model is established to simulate the vibration influencing factors generated during the demolition process and the impact of the vibration influencing factors on surrounding buildings; Through the calculation of the evaluation model, the quantitative value of the impact on adjacent normal buildings during future demolition is obtained, namely the peak vibration acceleration.

7. The automatic processing and statistical management system for land acquisition and surveying data according to claim 6 is characterized by: The simulation results are as follows: When the peak acceleration of vibration during demolition simulation is less than the minimum set threshold, the impact level is recorded as level 1, and the grading strategy corresponding to level 1 is level 1 protection strategy, and no response is made; When the peak acceleration of vibration during demolition simulation is between the set thresholds, the impact level is recorded as level 2, and the grading strategy corresponding to level 2 is level 2 protection strategy, and shock reduction measures are taken; When the peak acceleration of vibration during simulated demolition is greater than the maximum set threshold, the impact level is recorded as level three, and the grading strategy corresponding to the level three is the level three protection strategy, which takes shock reduction measures + isolation protection measures.

8. A method for automatic processing and statistical management of land acquisition and surveying data, using any system described in claims 1 to 7, characterized in that: The steps include: S1. Use information collection technology to obtain resettlement surveying and mapping data in the selected target resettlement area; S2. Preprocess the land acquisition and relocation surveying and mapping data, use image recognition technology to identify and classify the buildings in the target land acquisition and relocation area, obtain several target buildings, and calculate the building area of ​​each target building; S3. Build a rule engine to perform secondary classification on several target buildings and obtain civil and commercial categories; in each category, obtain the ages of the target buildings and sort them in descending order according to their ages. Target buildings with the same age are set as target building groups; S4. If the target building is determined to be a civil building, the actual building area and building structure framework will be extracted from the relocation surveying data, and the building age and building area will be used as the evaluation parameter set to build a cloud computing evaluation model to generate risk assessment indicators for the target building, trigger the planning decision-making mechanism, and generate a planned demolition path; Under the condition that the target building is determined to be commercial, the original decision-making mechanism is triggered to generate the original demolition path; The process of building a cloud computing evaluation model is as follows: S101. When the building structure frame of the target building is a reinforced concrete structure, the building structure index is marked as 1; when the building structure frame of the target building is a non-reinforced concrete structure, the building structure index is marked as 2; S102. Based on the actual building area, building floor area and building structure index, a risk calculation formula is constructed to generate a preliminary risk assessment value. The formula is as follows: In the formula, represents the risk assessment value, Represent the actual building area and the building footprint respectively, and ≥ , represents the building structure index; S103. Based on the risk assessment value and the building age, a risk assessment index is generated. The formula used is as follows: In the formula, represents the risk assessment value, Ge represents the building age; According to the value of the risk assessment index, the demolition path is planned from large to small. In the target relocation area, the corresponding target building with the largest risk assessment index is taken as the starting point, and the corresponding target building with the smallest risk assessment index is taken as the end point. The path in between is planned in the order of risk assessment index from large to small, and the required planned demolition path is obtained; Generating a predetermined demolition path indicates that the demolition path is planned and set in advance; S5. The target buildings in the target relocation area are displayed in a three-dimensional model, and the real-time demolition information is simultaneously displayed in the form of charts.

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