Retrieval visualization management method and system

Abstract

The invention relates to the technical field of data management, and discloses a demolition visualization management method and system, and the method comprises the steps: obtaining the geographic information of a demolition object and the current demolition time; predicting a resident satisfaction coefficient through a resident satisfaction prediction model; calculating in combination with the demolition difficulty coefficient to obtain the demolition difficulty of the demolition object; dividing the evaluation grade standard according to the eigendemolition difficulty coefficient to obtain eigendemolition difficulty of the eigendemolition object; obtaining the predicted dismantling time of the dismantling object through the dismantling time prediction model; according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time of the demolition object, calculating the demolition progress of the demolition object; and constructing an individual interface and the region interface, and viewing the feature splitting information of the feature splitting object to realize visual management of the feature splitting information. According to the tampering and tampering visualization management method provided by the invention, the problem of low tampering and tampering data management efficiency is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a demolition visualization management method, system, electronic equipment and storage medium. Background Art

[0002] At present, with the acceleration of urbanization, land resources are becoming increasingly scarce, and the country's demand for land planning and expropriation and demolition is increasing. The effective implementation of expropriation and demolition management can not only consolidate land resources, but also provide services for the construction of urban landmark buildings, characteristic commercial streets, etc., which is of great significance to accelerate the construction of urbanization. In this context, expropriation and demolition management faces many challenges, such as low efficiency and low residents' satisfaction.

[0003] In one existing technology, by establishing a land acquisition and demolition compensation business database and a GIS database, the information management of land acquisition and demolition related data, documents and GIS graphics is realized. This technology combines paper materials with electronic maps to reflect the entire demolition and compensation process on the map, including demolished plots, detailed information of household owners, compensation standards, amounts and methods, etc. However, this solution only records the relevant information of the demolition and demolition, but does not manage the entire demolition and demolition process. It is impossible to update the demolition and demolition progress in real time, and lacks a quantitative indicator system. It is impossible to make statistics and analysis on the specific data of the demolished objects, which affects the efficiency of the demolition and demolition.

[0004] The existing technology has a lack of a quantitative indicator system, low resident satisfaction and other issues, which have affected the efficiency of land acquisition and demolition data management. Summary of the invention

[0005] The present invention provides a demolition and expropriation visualization management method, system, electronic equipment and storage medium to solve the problem of low efficiency in expropriation and demolition data management.

[0006] In a first aspect, in order to solve the above technical problems, the present invention provides a demolition and collection visualization management method, comprising:

[0007] Acquire geographic information of the demolition object and the current demolition time, wherein the geographic information includes the distance between the demolition object and the key urban planning project, the land acquisition area of ​​the demolition object, the building area of ​​the demolition object and the building function type, wherein the land acquisition area includes a first land acquisition area and a second land acquisition area, wherein the first land acquisition area is the total land acquisition area of ​​the demolition object, and the second land acquisition area is the demolished land acquisition area of ​​the demolition object;

[0008] According to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the functional type of the building, a resident satisfaction prediction model is constructed to predict the resident satisfaction coefficient;

[0009] Obtain the structural coefficient, material coefficient and equipment coefficient of the demolition object, and calculate the demolition difficulty coefficient;

[0010] Calculate the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient;

[0011] Inputting the building area of ​​the demolition object, the functional type of the building, and the distance between the demolition object and the key urban planning project into a pre-trained demolition time prediction model to obtain a predicted demolition time of the demolition object;

[0012] Calculate the demolition progress of the demolition object according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time;

[0013] Construct individual and regional interfaces;

[0014] According to the individual interface and the regional interface, the geographical information, demolition difficulty and demolition progress of the demolition object can be viewed to achieve visual management of the demolition object.

[0015] In an optional implementation manner, the construction of a resident satisfaction prediction model based on the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type includes:

[0016] A judgment matrix is ​​constructed using the analytic hierarchy process according to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type;

[0017] Each column of the judgment matrix is ​​normalized, and the normalization can be expressed as:

[0018]

[0019] Among them, r ij is the normalized element value, a ij is the element value corresponding to the i-th row and j-th column in the judgment matrix, is the sum of all elements in the j-th column of the judgment matrix;

[0020] According to the judgment matrix, the weight is calculated, and the weight calculation formula is:

[0021]

[0022] Among them, w i is the weight value of the i-th row, is the normalized sum of the elements in the i-th row, and n is the number of rows in the judgment matrix;

[0023] According to the weights, the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the functional type of the building, a resident satisfaction prediction model is constructed. The resident satisfaction prediction model is expressed as:

[0024]

[0025] Among them, p is the satisfaction coefficient, is a constant term, d is the distance between the demolition object and the key urban planning project, s is the building area of ​​the demolition object, f is the functional type of the building, w1, w2, and w3 are the weight values ​​corresponding to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object, and the functional type of the building, respectively.

[0026] In an optional implementation manner, the obtaining of the structural coefficient, material coefficient and equipment coefficient of the demolition object and calculating the demolition difficulty coefficient includes:

[0027] The calculation formula of the demolition difficulty coefficient is as follows:

[0028] μ=σ1×a+σ2×b+σ3×c;

[0029] Among them, μ is the demolition difficulty coefficient, a is the structural coefficient, b is the material coefficient, c is the equipment coefficient, σ1, σ2, and σ3 are the weight coefficients corresponding to the structural coefficient, material coefficient, and equipment coefficient, respectively.

[0030] In an optional implementation manner, the calculating the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient includes:

[0031] The calculation formula for the difficulty of demolition and requisition of the demolition and requisition object is as follows:

[0032] d = γ1μ + γ2p;

[0033] Where d is the demolition and requisition of the object

[0034] difficulty, μ is the demolition difficulty coefficient, p is the satisfaction coefficient, γ1 and γ2 are the weight coefficients corresponding to the demolition difficulty coefficient and the satisfaction coefficient respectively.

[0035] In an optional implementation manner, the inputting the building area, building function type and distance from the key urban planning project of the demolition object into a pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object includes:

[0036] Acquire historical data of multiple historical demolition objects, wherein the historical data includes the building area, building function type, distance from the key urban planning project and actual demolition time of the multiple historical demolition objects;

[0037] A linear regression model is constructed based on the historical data, and the linear regression model is as follows:

[0038] t i =β0+β1s i +β2f i +β3d i ;

[0039] Where i∈[1,2,...,n], n is the total number of demolition objects in the historical data, t i is the predicted demolition time of the ith demolition object in the historical data, β0, β1, β2 and β3 are model parameters that can be obtained by fitting the historical data, and s i is the building area of ​​the ith demolition object in the historical data, f i is the functional type of the building of the ith demolition object in the historical data, d i is the distance between the ith demolition object and the key urban planning project in the historical data;

[0040] According to the predicted demolition time and the actual demolition time, the linear regression model is trained by a set loss function, and when the number of training times is greater than or equal to the maximum number of training times, the training is determined to be completed, and a demolition time prediction model is obtained;

[0041] The building area, building function type and distance from the key urban planning project of the demolition object are input into the demolition time prediction model to obtain the predicted demolition time of the demolition object.

[0042] In an optional implementation manner, the calculating the expropriation and demolition progress of the expropriation and demolition object according to the first expropriation land area, the second expropriation land area, the predicted demolition time, the predicted demolition time and the current demolition time includes:

[0043] The calculation of the demolition progress of the demolition object is as follows:

[0044]

[0045] Among them, pro is the demolition progress of the demolition object, A c is the second land acquisition area, A t is the first land acquisition area, T c is the current removal time, T t is the predicted demolition time, w Aand w T are the weight coefficients of area and time respectively.

[0046] In an optional implementation, the constructing of the individual interface and the regional interface includes:

[0047] The individual interface takes a single demolition object as a unit, and displays the geographic information of a single demolition object and the assessed demolition difficulty; the regional interface displays different types of demolition objects in different regions, and the different types of demolition objects include: buildings, roads, and parks;

[0048] Obtain geographic information, demolition difficulty, resident satisfaction coefficient, predicted demolition time, current demolition time and demolition progress of multiple demolition objects;

[0049] Creating a demolition and expropriation object layer and a geographic layer; the demolition and expropriation object layer includes a demolition and expropriation area layer and a demolition and expropriation progress layer;

[0050] Determine whether the overall area of ​​the geographical area included in the regional interface is smaller than a set scale, and if so, display the geographical information of the geographical area; if not, hide the geographical information of the geographical area;

[0051] According to the difficulty of the land acquisition and demolition, the land acquisition and demolition area is color-coded through the land acquisition and demolition area layer;

[0052] The demolition and requisition progress layer uses a progress bar to display the demolition and requisition progress overview of the entire area, and the depth of color indicates the speed of the demolition and requisition progress.

[0053] In a second aspect, the present invention provides a demolition visualization management system, comprising:

[0054] The data acquisition module is used to obtain the geographic information, structural coefficient, material coefficient, equipment coefficient and current demolition time of the demolition object;

[0055] A resident satisfaction prediction model building module is used to build a resident satisfaction prediction model based on the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type, and predict the resident satisfaction coefficient;

[0056] A demolition difficulty coefficient calculation module is used to obtain the structural coefficient, material coefficient and equipment coefficient of the demolition object;

[0057] A demolition difficulty calculation module, used to calculate the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient;

[0058] A demolition and requisition difficulty level classification module is used to classify the demolition and requisition difficulty of the demolition and requisition object into different levels;

[0059] A demolition time prediction module is used to input the building area, building function type and distance from the key urban planning project of the demolition object into a pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object;

[0060] A land acquisition and demolition progress calculation module, configured to calculate the land acquisition and demolition progress of the demolition object according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time;

[0061] Interface building module, used to build individual interface and regional interface;

[0062] The demolition and expropriation visualization module is used to view the geographic information, demolition and expropriation difficulty and demolition and expropriation progress of the demolition and expropriation object according to the individual interface and the regional interface, so as to realize the visualized management of the demolition and expropriation object.

[0063] In a third aspect, the present invention further provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements any one of the above-mentioned methods for visual management of demolition when executing the computer program.

[0064] In a fourth aspect, the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned demolition visualization management methods.

[0065] Compared with the prior art, the present invention has the following beneficial effects:

[0066] The present invention provides a demolition and collection visualization management method, comprising:

[0067] The geographic information of the demolition object and the current demolition time are obtained, wherein the geographic information includes the distance between the demolition object and the key urban planning project, the land area of ​​the demolition object, the building area of ​​the demolition object and the building function type, wherein the land area includes the first land area and the second land area, wherein the first land area is the total land area of ​​the demolition object, and the second land area is the demolished land area of ​​the demolition object; a resident satisfaction prediction model is constructed according to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type, and the resident satisfaction coefficient is predicted; the structural coefficient, material coefficient and equipment coefficient of the demolition object are obtained, and the demolition difficulty coefficient is calculated. The demolition difficulty coefficient is calculated according to the demolition difficulty coefficient and the resident satisfaction coefficient; the demolition difficulty of the demolition object is calculated according to the demolition difficulty coefficient and the resident satisfaction coefficient; the building area of ​​the demolition object, the functional type of the building and the distance between the demolition object and the key urban planning project are input into the pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object; the demolition progress of the demolition object is calculated according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time; an individual interface and a regional interface are constructed; according to the individual interface and the regional interface, the geographic information, demolition difficulty and demolition progress of the demolition object are viewed to realize the visual management of the demolition object.

[0068] The present invention provides a demolition and expropriation visualization management method and system to solve the problem of low demolition and expropriation data management efficiency and realize highly efficient demolition and expropriation information visualization management. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a flowchart of a demolition and requisition visualization management method provided by an embodiment of the present invention;

[0070] Figure 2 It is a structural schematic diagram of a demolition and expropriation visualization management system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0071] 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.

[0072] Reference Figure 1 The first embodiment of the present invention provides a demolition visualization management method, including the following steps:

[0073] S11, obtaining geographic information of the demolition object and the current demolition time;

[0074] S12, constructing a resident satisfaction prediction model according to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type, and predicting the resident satisfaction coefficient;

[0075] S13, obtaining the structural coefficient, material coefficient and equipment coefficient of the demolition object, and calculating the demolition difficulty coefficient;

[0076] S14, calculating the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient;

[0077] S15, inputting the building area, building function type and distance from the key urban planning project of the demolition object into a pre-trained demolition time prediction model to obtain a predicted demolition time of the demolition object;

[0078] S16, calculating the demolition and requisition progress of the demolition and requisition object according to the first land acquisition area, the second land acquisition area, the predicted demolition time, and the current demolition time;

[0079] S17, construct individual interface and regional interface;

[0080] S18, viewing the geographical information, demolition difficulty and demolition progress of the demolition object according to the individual interface and the regional interface, so as to realize visual management of the demolition object.

[0081] In step S11, the geographic information of the demolition object and the current demolition time are obtained.

[0082] The geographic information includes the distance between the demolition object and the key urban planning project, the land acquisition area of ​​the demolition object, the building area of ​​the demolition object and the building function type; the geographic information includes the specific location coordinates of the demolition object, which is helpful for planning the demolition sequence, evaluating the impact of the demolition on the surrounding environment, and optimizing the demolition progress. There are three ways to obtain the geographic information: the first is to obtain the photographed image of the demolition object, and the photographed image is taken by a photographing device with a GPS positioning function; the second is to analyze the GPS information contained in the photographed image, and the geographic information system generates the geographic information of the demolition object; the third is to input the geographic information of the demolition object through manual positioning. The geographic information is obtained by combining the above three acquisition methods. The land acquisition area includes the first land acquisition area and the second land acquisition area, which are obtained by technical means such as on-site measurement, satellite remote sensing detection and drone aerial photography; the first land acquisition area is the total land acquisition area of ​​the demolition object, which refers to the total area of ​​land to be demolished. The second land acquisition area is the demolished land acquisition area of ​​the demolition object. The current demolition time refers to the demolition time used for the demolished land acquisition area of ​​the demolition object.

[0083] It is worth mentioning that the shooting using a shooting device including a GPS positioning function includes the following three devices: a GPS positioning device: used to obtain the geographic information of the object to be demolished; a shooting device: used to obtain the building image of the object to be demolished; a control device: used to connect the GPS positioning device and the shooting device, to import and display the geographic information and image, and to calculate the geographic information data, building size and land acquisition area of ​​the object to be demolished.

[0084] In step S12, a resident satisfaction prediction model is constructed according to the distance between the demolition object and the key urban planning project, the building area and the building function type of the demolition object, and the resident satisfaction coefficient is predicted.

[0085] Among them, key urban planning projects usually refer to projects that occupy an important position in urban planning and development strategies. The distance between the demolition objects and key urban planning projects is recorded to determine the demolition priority of the demolition objects. Using the geographic information system GIS, the straight-line distance between the demolition objects and key projects is obtained through map measurement tools. The building area specifically includes the building area and the public area. The public area includes patios, corridors, aisles, toilet facilities and balconies. The building area is mainly obtained through drone aerial photography and satellite remote sensing detection. The building functions specifically include residential areas and commercial business areas.

[0086] It should be noted that the construction of the resident satisfaction prediction model first uses the hierarchical analysis method to construct a judgment matrix based on the distance between the demolition object and the city's key planning projects, the building area of ​​the demolition object, and the building function type; among which, the values ​​corresponding to the building function type are: residential area is 1.0, commercial business area is 1.15, school is 0.85, administrative office area is 1.2, park is 0.8, and factory building is 0.75.

[0087] Each column of the judgment matrix is ​​normalized, and the normalization can be expressed as:

[0088]

[0089] Among them, r ij is the normalized element value, a ij is the element value corresponding to the i-th row and j-th column in the judgment matrix, is the sum of all elements in the j-th column of the judgment matrix;

[0090] According to the judgment matrix, the weight is calculated, and the weight calculation formula is:

[0091]

[0092] Among them, w i is the weight value of the i-th row, is the normalized sum of the elements in the i-th row, and n is the number of rows in the judgment matrix;

[0093] According to the weights, the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the functional type of the building, a resident satisfaction prediction model is constructed. The resident satisfaction prediction model is expressed as:

[0094]

[0095] Among them, p is the satisfaction coefficient, is a constant term, d is the distance between the demolition object and the key urban planning project, s is the building area of ​​the demolition object, f is the functional type of the building, w1, w2, and w3 are the weight values ​​corresponding to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object, and the functional type of the building, respectively.

[0096] Furthermore, by inputting the distance between the demolition object and the key urban planning project, the building area and the building function type of the demolition object into the resident satisfaction prediction model, the resident satisfaction coefficient of the demolition object can be obtained.

[0097] In step S13, the structural coefficient, material coefficient and equipment coefficient of the demolition object are obtained, and the demolition difficulty coefficient is calculated.

[0098] Among them, the structural coefficient refers to the structural stability and complexity of the building, which reflects the impact of the building's structural type (such as reinforced concrete, brick-concrete, brick-wood, etc.) and structural condition (such as newness and damage) on the difficulty of demolition. Satellite remote sensing is used to obtain the house image information of the demolition object, and the structural characteristics of the house are extracted. The panchromatic image, multispectral image and fusion result image are filtered in each band. The B3 spline function is used as the filter, and the 5*5 filter convolution kernel is used to extract the structural characteristics; the material coefficient refers to the impact of the type and quality of the building's materials on the difficulty of demolition. The material coefficient directly obtains the technical specifications of the materials from the manufacturer of the building materials; the equipment coefficient refers to the impact of the equipment installed in the building (such as elevators, air conditioners, pipeline systems, etc.) on the difficulty of demolition. This information can be obtained directly from the equipment manufacturer. Technical parameters.

[0099] The calculation formula of the demolition difficulty coefficient is as follows:

[0100] μ=σ1×a+σ2×b+σ3×c;

[0101] Among them, μ is the demolition difficulty coefficient, a is the structural coefficient, b is the material coefficient, c is the equipment coefficient, σ1, σ2, and σ3 are the weight coefficients corresponding to the structural coefficient, material coefficient, and equipment coefficient, respectively.

[0102] Specifically, σ1 is 0.4, σ2 is 0.3, and σ3 is 0.3.

[0103] In step S14, the demolition difficulty of the demolition object is calculated according to the demolition difficulty coefficient and the resident satisfaction coefficient.

[0104] The calculation formula for the difficulty of demolition and requisition of the demolition and requisition object is as follows:

[0105] d = γ1μ + γ2p;

[0106] Among them, d is the difficulty of demolition and requisition of the demolition object, μ is the demolition difficulty coefficient, p is the satisfaction coefficient, γ1 and γ2 are the weight coefficients corresponding to the demolition difficulty coefficient and the satisfaction coefficient respectively. Specifically, since there is no obvious priority, the weight here adopts the average weighting method, that is, γ1 and γ2 are both 0.5.

[0107] Furthermore, the difficulty of land acquisition and demolition is divided into four levels: A is the difficulty of land acquisition and demolition of 0 to 25 points, B is the difficulty of land acquisition and demolition of 25 to 50 points, C is the difficulty of land acquisition and demolition of 50 to 75 points, and D is the difficulty of land acquisition and demolition of 75 to 100 points.

[0108] In step S15, the building area, building function type and distance from the key urban planning project of the demolition object are input into a pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object.

[0109] It is worth noting that the construction of the demolition time prediction model includes: obtaining historical data of multiple historical demolition objects, the historical data including the building area, building function type, distance from urban key planning projects and actual demolition time of the multiple historical demolition objects; specifically, the data of historical demolition objects comes from the demolished houses, and these historical data are obtained by consulting government archives and analyzing previous satellite remote sensing and drone aerial images.

[0110] A linear regression model is constructed based on the historical data, and the linear regression model is as follows:

[0111]

[0112] Wherein, i∈[1,2,...,n], n is the total number of demolition objects in the historical data, is the predicted demolition time of the ith demolition object in the historical data, β0, β1, β2 and β3 are model parameters that can be obtained by fitting the historical data, and s i is the building area of ​​the ith demolition object in the historical data, f i is the functional type of the building of the ith demolition object in the historical data, d i is the distance between the ith demolition object and the key urban planning project in the historical data;

[0113] According to the predicted demolition time and the actual demolition time, the linear regression model is trained by a set loss function. When the number of training times is greater than or equal to the maximum number of training times, the training is determined to be completed, and a demolition time prediction model is obtained. Specifically, the loss function uses the root mean square error, and the calculation formula of the loss function is as follows:

[0114]

[0115] Where n is the total number of demolition objects in the historical data, L i is the error between the predicted demolition time and the actual demolition time of the ith demolition object in the historical data, t i is the actual demolition time of the ith demolition object in the historical data, is the predicted demolition time of the ith demolition object in the historical data.

[0116] Furthermore, the building area, building function type and distance from the key urban planning project of the demolition object are input into the demolition time prediction model to obtain the predicted demolition time of the demolition object.

[0117] In step S16, the demolition and requisition progress of the demolition and requisition object is calculated according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time.

[0118] It is worth noting that the progress of demolition and relocation is an indicator to measure whether the demolition and relocation project is carried out according to plan. It reflects the status of the project from its initiation to the current completion. The calculation of the progress of demolition and relocation of the demolition and relocation object is as follows:

[0119]

[0120] Among them, pro is the demolition progress of the demolition object, A c is the second land acquisition area, A t is the first land acquisition area, T c is the current removal time, T t is the predicted demolition time, w A and w T are weight coefficients of area and time respectively. A Set to 0.6, w T Set to 0.4.

[0121] In step S17, an individual interface and a regional interface are constructed.

[0122] The individual interface takes a single demolition object as a unit, and displays the geographic information of a single demolition object and the assessed demolition difficulty; the regional interface displays different types of demolition objects in different regions, and the different types of demolition objects include: buildings, roads, and parks;

[0123] Specifically, the geographic information, demolition difficulty, resident satisfaction coefficient, predicted demolition time, current demolition time and demolition progress of multiple demolition objects are obtained; a demolition object layer and a geographic layer are created; the demolition object layer includes a demolition area layer and a demolition progress layer;

[0124] Determine whether the overall area of ​​the geographical area included in the area interface is smaller than the set scale. If so, display the geographical information of the geographical area; if not, hide the geographical information of the geographical area; according to the difficulty of expropriation and demolition, color-code the expropriated land area through the expropriation and demolition area layer; display the expropriation and demolition progress of each expropriation and demolition object through the expropriation and demolition progress layer, the expropriation and demolition progress information includes the expropriation area and expropriation progress, and display a progress bar according to the completion of the expropriation and demolition progress. The higher the completion of the expropriation and demolition progress, the darker the identification color of the progress bar.

[0125] It is worth mentioning that in geographic information systems (GIS) and computer graphics, "layer" refers to a set of geographic features with the same attributes and visualization style. These features can be geometric objects such as points, lines, and surfaces, which together constitute a specific information layer on the map. Layers enable users to manage and display different types of geographic data, and each layer can be edited and visualized separately. In the demolition visualization management method, the specific meanings of layers are as follows: Demolition object layer: This is a layer that contains all demolition objects (such as buildings, roads, parks, etc.). Each demolition object is an element in the layer, which can display its geographic information, demolition difficulty and other information. Users can use this layer to intuitively view the spatial distribution and attribute information of each demolition object;

[0126] Geographic layer: This layer provides background information of the geographical area, such as topography, landforms, water systems, vegetation, etc. It provides geographical context for the demolition object layer, helping users better understand the location and environmental impact of the demolition object in the geographical environment; Demolition area layer: This is a layer that specifically displays the symbolic area of ​​demolition objects. Through different color identifications, users can intuitively identify the difficulty of demolition of different demolition objects; Demolition progress layer: This layer uses a progress bar to display the demolition progress of the demolition object, and the depth of the color indicates the completion of the demolition work.

[0127] In step S18, the geographical information, difficulty and progress of the demolition and requisition object are checked according to the individual interface and the regional interface, so as to realize the visual management of the demolition and requisition object.

[0128] It is worth noting that users can enter specific geographic information, such as street names, house numbers or geographic coordinates, through the search bar of the individual interface or the map view of the regional interface; the system queries the demolition objects related to and surrounding the location based on the geographic information entered by the user, and the demolition objects include buildings, roads and parks; the interface displays the geographic information of the queried single demolition object. Click on a specific mark on the map or an item in the list according to the interface prompt, and the system will display detailed information of the demolition object, including but not limited to name, type, geographic information, current demolition progress, expected completion time, etc. The system also provides multi-dimensional data analysis tools, and users can filter and sort demolition objects as needed, such as according to demolition difficulty, resident satisfaction or demolition progress. The system provides a dynamic update function to ensure that the demolition information viewed by users is the latest. Users can understand the real-time changes in the demolition progress through the real-time feedback mechanism on the interface, such as a progress bar or status indicator. Interactive navigation is provided, and users can interactively navigate on the map through operations such as zooming, panning and clicking to view demolition objects and related information in different areas.

[0129] In summary, the present invention provides a demolition and collection visualization management method, comprising:

[0130] The geographic information of the demolition object is obtained, and the geographic information includes the geographic information and the land acquisition area of ​​the demolition object; a resident satisfaction prediction model is constructed according to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type, and the resident satisfaction coefficient is predicted; the structural coefficient, material coefficient and equipment coefficient of the demolition object are obtained, and the demolition difficulty coefficient is calculated; the demolition difficulty of the demolition object is calculated according to the demolition difficulty coefficient and the resident satisfaction coefficient; the building area, building function type and the distance from the key urban planning project of the demolition object are input into the demolition time prediction model trained in advance to obtain the predicted demolition time of the demolition object; the current demolition time of the demolition object is obtained; the demolition progress of the demolition object is calculated according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time; an individual interface and a regional interface are constructed; the geographic information, demolition difficulty and demolition progress of the demolition object are viewed according to the individual interface and the regional interface, so as to realize the visual management of the demolition object.

[0131] The present invention provides a demolition and expropriation visualization management method and system to solve the problem of low demolition and expropriation data management efficiency and realize highly efficient demolition and expropriation information visualization management.

[0132] Reference Figure 2 The second embodiment of the present invention provides a demolition visualization management system, including:

[0133] The data acquisition module 100 is used to acquire the geographic information, structural coefficient, material coefficient, equipment coefficient and current demolition time of the demolition object;

[0134] The resident satisfaction prediction model building module 101 is used to build a resident satisfaction prediction model according to the distance between the demolition object and the key urban planning project, the building area and the building function type of the demolition object, and predict the resident satisfaction coefficient;

[0135] The demolition difficulty coefficient calculation module 102 is used to obtain the structural coefficient, material coefficient and equipment coefficient of the demolition object;

[0136] The demolition difficulty calculation module 103 is used to calculate the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient;

[0137] The demolition and requisition difficulty level classification module 104 is used to classify the demolition and requisition difficulty of the demolition and requisition object into different levels;

[0138] The demolition time prediction module 105 is used to input the building area, building function type and distance from the key urban planning project of the demolition object into the pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object;

[0139] The expropriation and demolition progress calculation module 106 is used to calculate the expropriation and demolition progress of the expropriation and demolition object according to the first expropriation area, the second expropriation area, the predicted demolition time and the current demolition time;

[0140] An interface construction module 107, used to construct individual interfaces and regional interfaces;

[0141] The demolition and expropriation visualization module 108 is used to view the geographic information, demolition and expropriation difficulty and demolition and expropriation progress of the demolition and expropriation object according to the individual interface and the regional interface, so as to realize the visualized management of the demolition and expropriation object.

[0142] It should be noted that a demolition and expropriation visualization management system provided in an embodiment of the present invention is used to execute all process steps of a demolition and expropriation visualization management method in the above embodiment, and the working principles and beneficial effects of the two correspond one to one, so they will not be repeated here.

[0143] The embodiment of the present invention also provides an electronic device. The electronic device includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps in the above-mentioned embodiments of the visual management method for demolition are implemented, such as Figure 1 Alternatively, when the processor executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are realized, such as removing the time prediction module.

[0144] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the electronic device.

[0145] The electronic device may be a computing device such as a desktop computer, a notebook, a PDA, and a smart tablet. The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the above components are merely examples of electronic devices and do not constitute a limitation on the electronic device. The electronic device may include more or fewer components than the above components, or may combine certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0146] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device.

[0147] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the electronic device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0148] Wherein, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0149] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0150] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A visual management method for demolition and collection, characterized in that: include: Acquire geographic information of the demolition object and the current demolition time, wherein the geographic information includes the distance between the demolition object and the key urban planning project, the land acquisition area of ​​the demolition object, the building area of ​​the demolition object and the building function type, wherein the land acquisition area includes a first land acquisition area and a second land acquisition area, wherein the first land acquisition area is the total land acquisition area of ​​the demolition object, and the second land acquisition area is the demolished land acquisition area of ​​the demolition object; According to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the functional type of the building, a resident satisfaction prediction model is constructed to predict the resident satisfaction coefficient; Obtain the structural coefficient, material coefficient and equipment coefficient of the demolition object, and calculate the demolition difficulty coefficient; Calculate the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient; Inputting the building area of ​​the demolition object, the functional type of the building, and the distance between the demolition object and the key urban planning project into a pre-trained demolition time prediction model to obtain a predicted demolition time of the demolition object; Calculate the demolition progress of the demolition object according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time; Construct individual and regional interfaces; According to the individual interface and the regional interface, the geographical information, demolition difficulty and demolition progress of the demolition object can be viewed to achieve visual management of the demolition object.

2. The visual management method for demolition and expropriation according to claim 1 is characterized in that: The step of constructing a resident satisfaction prediction model based on the distance between the demolition object and the key urban planning project, the building area and the building function type of the demolition object includes: A judgment matrix is ​​constructed using the analytic hierarchy process according to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type; Each column of the judgment matrix is ​​normalized, and the normalization can be expressed as: Among them, r ij is the normalized element value, a ij is the element value corresponding to the i-th row and j-th column in the judgment matrix, is the sum of all elements in the jth column of the judgment matrix; According to the judgment matrix, the weight is calculated, and the weight calculation formula is: Among them, w i is the weight value of the i-th row, is the normalized sum of the elements in the i-th row, and n is the number of rows in the judgment matrix; According to the weights, the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the functional type of the building, a resident satisfaction prediction model is constructed. The resident satisfaction prediction model is expressed as: Among them, p is the satisfaction coefficient, is a constant term, d is the distance between the demolition object and the key urban planning project, s is the building area of ​​the demolition object, f is the functional type of the building, w1, w2, and w3 are the weight values ​​corresponding to the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object, and the functional type of the building, respectively.

3. The visual management method for demolition and expropriation according to claim 1 is characterized in that: The obtaining of the structural coefficient, material coefficient and equipment coefficient of the demolition object and calculating the demolition difficulty coefficient includes: The calculation formula of the demolition difficulty coefficient is as follows: μ=σ1×a+σ2×b+σ3×c; Among them, u is the demolition difficulty coefficient, a is the structural coefficient, b is the material coefficient, c is the equipment coefficient, σ1, σ2, and σ3 are the weight coefficients corresponding to the structural coefficient, material coefficient, and equipment coefficient, respectively.

4. The demolition levy according to claim 1 The visual management method is characterized by: The calculation of the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient includes: The calculation formula for the difficulty of demolition and requisition of the demolition and requisition object is as follows: d = γ1μ + γ2p; Among them, d is the difficulty of demolition and requisition of the demolition object, μ is the demolition difficulty coefficient, p is the satisfaction coefficient, γ1 and γ2 are the weight coefficients corresponding to the demolition difficulty coefficient and the satisfaction coefficient respectively.

5. The visual management method for demolition and expropriation according to claim 1 is characterized in that: The step of inputting the building area, building function type and distance from the key urban planning project of the demolition object into a pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object includes: Acquire historical data of multiple historical demolition objects, wherein the historical data includes the building area, building function type, distance from the key urban planning project and actual demolition time of the multiple historical demolition objects; A linear regression model is constructed based on the historical data, and the linear regression model is as follows: t i =β0+β1s i +β2f i +β3d i ; Where i∈[1,2,...,n], n is the total number of demolition objects in the historical data, t i is the predicted demolition time of the ith demolition object in the historical data, β0, β1, β2 and β3 are model parameters that can be obtained by fitting the historical data, and s i is the building area of ​​the ith demolition object in the historical data, f i is the functional type of the building of the ith demolition object in the historical data, d i is the distance between the ith demolition object and the key urban planning project in the historical data; According to the predicted demolition time and the actual demolition time, the linear regression model is trained by a set loss function, and when the number of training times is greater than or equal to the maximum number of training times, the training is determined to be completed, and a demolition time prediction model is obtained; The building area, building function type and distance from the key urban planning project of the demolition object are input into the demolition time prediction model to obtain the predicted demolition time of the demolition object.

6. The visual management method for demolition and expropriation according to claim 1 is characterized in that: The calculating the demolition and requisition progress of the demolition and requisition object according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time includes: The calculation of the demolition progress of the demolition object is as follows: Among them, pro is the demolition progress of the demolition object, A c is the second land acquisition area, A t is the first land acquisition area, T c is the current removal time, T t is the predicted demolition time, w A and w T are the weight coefficients of area and time respectively.

7. The visual management method for demolition and expropriation according to claim 1 is characterized in that: The construction of individual interfaces and regional interfaces includes: The individual interface takes a single demolition object as a unit, and displays the geographic information of a single demolition object and the assessed demolition difficulty; the regional interface displays different types of demolition objects in different regions, and the different types of demolition objects include: buildings, roads, and parks; Obtain geographic information, demolition difficulty, resident satisfaction coefficient, predicted demolition time, current demolition time and demolition progress of multiple demolition objects; Creating a demolition and expropriation object layer and a geographic layer; the demolition and expropriation object layer includes a demolition and expropriation area layer and a demolition and expropriation progress layer; Determine whether the overall area of ​​the geographical area included in the regional interface is smaller than a set scale, and if so, display the geographical information of the geographical area; if not, hide the geographical information of the geographical area; According to the difficulty of the land acquisition and demolition, the land acquisition and demolition area is color-coded through the land acquisition and demolition area layer; The demolition and requisition progress layer uses a progress bar to display the demolition and requisition progress overview of the entire area, and the depth of color indicates the speed of the demolition and requisition progress.

8. A visual management system for demolition and collection, characterized in that: include: The data acquisition module is used to obtain the geographic information, structural coefficient, material coefficient, equipment coefficient and current demolition time of the demolition object; A resident satisfaction prediction model building module is used to build a resident satisfaction prediction model based on the distance between the demolition object and the key urban planning project, the building area of ​​the demolition object and the building function type, and predict the resident satisfaction coefficient; A demolition difficulty coefficient calculation module is used to obtain the structural coefficient, material coefficient and equipment coefficient of the demolition object; A demolition difficulty calculation module, used to calculate the demolition difficulty of the demolition object according to the demolition difficulty coefficient and the resident satisfaction coefficient; A demolition and requisition difficulty level classification module is used to classify the demolition and requisition difficulty of the demolition and requisition object into different levels; A demolition time prediction module is used to input the building area, building function type and distance from the key urban planning project of the demolition object into a pre-trained demolition time prediction model to obtain the predicted demolition time of the demolition object; A land acquisition and demolition progress calculation module, configured to calculate the land acquisition and demolition progress of the demolition object according to the first land acquisition area, the second land acquisition area, the predicted demolition time and the current demolition time; Interface building module, used to build individual interface and regional interface; The demolition and expropriation visualization module is used to view the geographic information, demolition and expropriation difficulty and demolition and expropriation progress of the demolition and expropriation object according to the individual interface and the regional interface, so as to realize the visualized management of the demolition and expropriation object.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the visual management method for demolition as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the demolition visualization management method according to any one of claims 1 to 7.

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