An integrated housing surveying and mapping management platform
Through the integrated housing surveying and mapping management comprehensive platform, using technical means such as active analysis and passive registration modules, the surveying and mapping parameters and time-consuming of houses are calculated, which solves the problem of difficult to estimate surveying and mapping in the existing technology, and achieves more efficient surveying and mapping management and decision-making support.
Patent Information
- Application Number
- CN202411678910.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-22
- Publication Date
- 2025-03-11
- Estimated Expiration
- 2044-11-22
AI Technical Summary
In the existing technology, the surveying and mapping management work is difficult to predict intelligently, and there is a lack of objective and direct platform for time-consuming prediction.
It provides an integrated housing surveying and mapping management comprehensive platform. Through active analysis modules, passive registration modules, passive analysis modules and surveying and mapping preparation modules, surveying and mapping parameters are calculated based on the basic data, terrain parameters and structural parameters of the house, and through intelligent identification algorithms and dynamic monitoring frequency adjustment, intelligent prediction of surveying and mapping time is achieved.
Through the use of the platform, the surveying and mapping efficiency can be effectively improved, the surveying and mapping time can be accurately estimated, the surveying and mapping work flow can be optimized, and the work efficiency and decision-making support capabilities of the real estate management department can be improved.
Smart Images

Figure CN119169540B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of control systems, and in particular to an integrated house surveying and mapping management platform. Background Art
[0002] The integrated housing surveying and mapping management platform is a system that uses modern information technology, especially geographic information system (GIS) technology, to improve the efficiency and accuracy of housing surveying and mapping management. It can improve the work efficiency of real estate management departments, enhance decision-making support capabilities, and provide more convenient services to the public. Through this platform, digital, networked, and intelligent management of real estate information can be achieved, thereby improving the transparency and efficiency of the entire real estate market.
[0003] House surveying and mapping management work is generally carried out for multiple houses to be surveyed, but the structures, geographical locations and sizes of different houses are different. This leads to the fact that the time arrangement of surveying and mapping work often relies on the subjective judgment of the staff, and there is a lack of an objective and direct platform that can make time estimates based on the basic data of the surveyed houses. Summary of the invention
[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides an integrated housing surveying and mapping management platform, which can effectively solve the problem that the time consumption of surveying and mapping is difficult to intelligently estimate during the surveying and mapping management work in the prior art.
[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:
[0006] The present invention provides an integrated house surveying and mapping management platform, which records houses with surveying and mapping needs as surveying and mapping houses, including:
[0007] Active analysis module, when the surveyed house is the house applied for surveying, registers the basic data of the surveyed house, calculates the material parameters, contour parameters and terrain parameters of the surveyed house based on the basic data analysis, and thereby calculates the surveying parameters of the surveyed house;
[0008] The passive registration module divides the surveying and mapping management area into multiple unit areas, obtains the strength reference value of each registered house in the unit area, draws a bar chart of the number of registered houses with different strength reference values, and obtains the house change parameter value in the unit area through analysis. According to the house change parameter value, the houses in the unit area are dynamically monitored at different frequencies, wherein:
[0009] Acquire a regional image within a unit area, identify the house outlines in the regional image based on an intelligent recognition algorithm, compare the house outlines in the two most recently acquired regional images, screen out house outlines with different central coordinate positions and house outlines with change reference values less than a similarity threshold, and record them as houses to be tested;
[0010] The passive analysis module marks the house to be measured as a surveying house, analyzes and calculates the land area parameters of the surveying house and combines the terrain parameters of the surveying house to obtain the surveying parameters of the surveying house;
[0011] The surveying and mapping preparation module divides the unit management area, obtains the number of surveying and mapping houses that have not been surveyed in the unit management area and the distance between any two surveying and mapping houses, analyzes and calculates the dispersion and combines the surveying and mapping parameters of all surveying and mapping houses to calculate the reference value of surveying and mapping time for the unit management area.
[0012] Furthermore, the material parameter calculation process of the surveyed house is as follows:
[0013] Obtain the types and mass proportions of the building materials of the surveyed house, and arrange the types of building materials in descending order according to their mass proportions. , where i is the serial number of the building material, extract the main proportion ordered set There are multiple raw material coefficients preset, each raw material coefficient corresponds to a building raw material, and the raw material coefficients corresponding to each building raw material in the main proportion ordered set are recorded in turn as , substitute into the formula Calculate and obtain the material parameters of the surveyed house ,in These are preset values.
[0014] Furthermore, the contour parameter calculation process of the surveyed house is as follows:
[0015] Get the floor space of the surveyed house , Number of rooms , Total number of rooms and the number of floors , substitute into the formula Calculate in and get the outline parameters of the surveyed house ,in , is the preset constant coefficient.
[0016] Furthermore, the terrain parameter calculation process of the surveyed house is as follows:
[0017] Obtain the location of the surveyed house in the satellite map as the surveyed location, cut off a square area with a side length of 1 km with the surveyed location as the center and record it as the area where the house is located, obtain a 50-meter contour map in the area where the house is located and record it as the regional contour map, record the closed contour lines in the regional contour map as complete gradient lines, and count the number of complete gradient lines as the first gradient reference value , obtain the total length of the contour lines in the regional contour map as the second gradient reference value , substitute into the formula Calculate the terrain parameters of the area where the house is located ,in These are all preset weight coefficients.
[0018] Furthermore, the surveying and mapping parameter calculation process is as follows:
[0019] Get the material parameters of the surveyed house , profile parameters And survey the topographic parameters of the area where the house is located , substitute into the formula Calculate and obtain the surveying and mapping parameters ,in All are preset weight coefficients.
[0020] Furthermore, the dynamic monitoring frequency adjustment process is as follows:
[0021] The area under surveying and mapping management is recorded as the total management area, the total management area is divided into multiple unit areas, the houses registered in the unit area are recorded as registered houses, the number of registered houses in the unit area and the structural category of each registered house are counted, a strength reference value is assigned to each building structure, and thus the strength reference value distribution of the registered houses in the unit area is obtained;
[0022] Draw a bar graph of the number of registered houses with different strength reference values in the unit area, and obtain the top three strength reference values in the bar graph as the main strength values. , , , substitute into the formula Calculate the house change parameter value by All are preset weight coefficients. is the preset comparison value;
[0023] A house change threshold is preset. When the house change parameter value is greater than the house change threshold, the unit area is recorded as a key area. When the house change parameter value is less than the house change threshold, the unit area is recorded as a general area. A first monitoring frequency and a second monitoring frequency are preset. The first monitoring frequency is greater than the second monitoring frequency. The first monitoring frequency is used to dynamically monitor the houses and buildings in the key area, and the second monitoring frequency is used to dynamically monitor the houses and buildings in the general area.
[0024] Furthermore, the dynamic monitoring process of the house is as follows:
[0025] The satellite image of the unit area is obtained and recorded as the regional image. The houses and buildings in the regional image are identified based on the intelligent recognition algorithm and all the house outlines of the regional image are delineated. Each house outline corresponds to a house building. Each house outline is marked. The marking information includes the center coordinates and serial number of the house outline. The two most recently obtained regional images of the same unit area are recorded as the first image and the second image in turn. The first image and the second image are compared:
[0026] Counting the number of house outlines in the first image and the second image, when the number of house outlines in the second image is different from the number of house outlines in the first image, obtaining the center coordinates of all house outlines in the second image and comparing them with the center coordinates of all house outlines in the first image, and selecting house outlines corresponding to different center coordinates as houses to be tested;
[0027] The house outlines with the same center coordinates in the first image and the second image are compared, the similarity between the two house outlines corresponding to the same center coordinates is calculated and recorded as a change reference value, and the change reference value is compared with a preset similarity threshold. When the change reference value is less than the similarity threshold, the house outline corresponding to the center coordinate is recorded as the house to be tested.
[0028] Furthermore, the process of the passive analysis module calculating the surveying and mapping parameters of the house to be tested is as follows:
[0029] Mark the house to be measured as a surveying house, use the center coordinates of the surveying house as its surveying position, and obtain the terrain parameters of the surveying house;
[0030] Get the number of pixels corresponding to the house outline of the surveyed house and the average altitude of the unit area corresponding to the center coordinates of the surveyed house, and substitute them into the formula Calculate in and get the land area parameters of the surveyed house ,in:
[0031] Num is the number of pixels;
[0032] is the average altitude;
[0033] is the preset benchmark value;
[0034] K is the preset constant coefficient;
[0035] Substitute the topographic parameters and land area parameters of the surveyed house into the formula Calculate and obtain the surveying and mapping parameters ,in is the preset weight coefficient.
[0036] Furthermore, the calculation process of the reference value of the surveying and mapping time consumption is as follows:
[0037] Obtain the number of target houses, the dispersion of target houses and the surveying and mapping parameters of target houses in the unit management area, normalize them and enter them into the formula Calculate the time consumption reference value of surveying and mapping of the unit management area ,in is the target number of houses within the unit's management area, is the preset weight coefficient.
[0038] Furthermore, the target house dispersion calculation process is as follows:
[0039] Get the straight-line distance between any two target houses to get multiple house spacing values, and use the formula The target housing dispersion is calculated, where is the average value of the house spacing, is the maximum value of the house spacing, is the minimum value of the house spacing. is the preset weight coefficient.
[0040] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:
[0041] 1. The active analysis module in the present invention can calculate the material parameters, contour parameters and terrain parameters of the surveyed house based on the basic house data provided by the surveying and mapping applicant, which correspond to the structure, volume and terrain characteristics of the surveyed house respectively, so as to comprehensively calculate the surveying and mapping parameters of the surveyed house. The surveying and mapping parameters reflect whether the house conditions are convenient for surveying and mapping, so as to estimate the surveying and mapping time and plan the surveying and mapping process according to the house surveying and mapping conditions in the subsequent process, so as to improve the efficiency of surveying and mapping.
[0042] 2. The passive registration module in the present invention can mark key areas and general areas according to the distribution of house structures in different unit areas, and set up different monitoring frequencies in a targeted manner to improve monitoring efficiency. At the same time, in the monitoring project, it can timely discover and screen out houses to be tested that have changed in condition and need to be surveyed based on monitoring satellite images, and the passive analysis module can calculate the surveying and mapping parameters of the houses to be tested based on partial information, thereby evaluating the surveying and mapping difficulty of houses that have not been registered. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0044] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION
[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.
[0046] The present invention will be further described below in conjunction with the embodiments.
[0047] See also Figure 1 , an integrated house surveying and mapping management platform, records houses with surveying and mapping needs as surveying and mapping houses, and surveying and mapping houses must meet any of the following surveying and mapping conditions:
[0048] Condition 1: The house for which the initial property registration is applied;
[0049] Condition 2: Houses with changes in natural conditions;
[0050] Condition three: Houses that require surveying.
[0051] At least:
[0052] Obtain the types of building materials (including bricks, gravel, cement, etc.) and their mass proportions of the surveyed houses, and arrange the types of building materials in descending order according to their mass proportions. , where i is the serial number of the building material (when i=1, represents the largest proportion of building materials), extract the main proportion ordered set , there are multiple raw material coefficients preset, each raw material coefficient corresponds to a building material (so that any building material can match a raw material coefficient), and the raw material coefficients corresponding to each building material in the main proportion ordered set are recorded in turn as , substitute into the formula Calculate and obtain the material parameters of the surveyed house ,in All are preset values;
[0053] It should be noted that the difficulty of surveying houses of different structures varies. Generally speaking, the difficulty of surveying houses made of reinforced concrete is greater than that of houses made of masonry or brick-wood structures, because the main structure of reinforced concrete houses is generally more complex and the design shapes are more diverse.
[0054] Get the floor space of the surveyed house , Number of rooms , Total number of rooms and the number of floors , substitute into the formula Calculate in and get the outline parameters of the surveyed house ,in is the preset constant coefficient;
[0055] Obtain the location of the surveyed house in the satellite map as the surveyed location, cut off a square area with a side length of 1 km with the surveyed location as the center and record it as the area where the house is located, obtain a 50-meter contour map in the area where the house is located (that is, the map contains contour lines with adjacent height differences of 50 meters) and record it as the regional contour map, record the closed contour lines in the regional contour map as complete gradient lines, and count the number of complete gradient lines as the first gradient reference value , obtain the total length of the contour lines in the regional contour map as the second gradient reference value , substitute into the formula Calculate the terrain parameters of the area where the house is located ,in All are preset weight coefficients;
[0056] Get the material parameters of the surveyed house , profile parameters And survey the topographic parameters of the area where the house is located , substitute into the formula Calculate and obtain the surveying and mapping parameters ,in All are preset weight coefficients.
[0057] It should be noted that the basic data of surveying and mapping houses are mainly recorded orally, so that the general situation of the surveyed houses can be understood from the persons who apply for house surveying and mapping. Compared with specific data (house area, house elevation, and coordinates of boundary points), persons who apply for house surveying and mapping (generally without professional knowledge) are more likely to remember the significant features of the surveyed houses (such as the proportion of building materials and the number of rooms). Based on the information contained in the significant features, the approximate data of the surveyed houses can be obtained, and then the approximate data of the surveyed houses can be used to judge whether the house conditions are easy for surveying and mapping (i.e. the difficulty of house surveying) so as to estimate the surveying and mapping time and plan the surveying and mapping process according to the house surveying and mapping conditions in the subsequent process, so as to improve the efficiency of surveying and mapping.
[0058] Passive registration module, obtains the area under surveying and mapping management as the total management area, divides the total management area into multiple unit areas, records the houses registered in the unit area as registered houses, counts the number of registered houses in the unit area and the structural category of each registered house, the structural category is recorded by the staff when registering the house, the structural category includes a variety of building structures with low to high strength, assigns a strength reference value to each building structure, and thus obtains the strength reference value distribution of the registered houses in the unit area;
[0059] Draw a bar graph of the number of registered houses with different strength reference values in the unit area, and obtain the top three strength reference values in the bar graph as the main strength values. (For example, in a specific embodiment, the top three strength reference values are 3, 2, and 4, respectively, and the corresponding main strength values are are 3, 2, and 4 respectively), and substitute them into the formula Calculate the house change parameter value by All are preset weight coefficients. is a preset comparison value (depending on the mode of the intensity reference values of the registered houses in the total management area);
[0060] A house change threshold is preset. When the house change parameter value is greater than the house change threshold, the unit area is recorded as a key area. When the house change parameter value is less than the house change threshold, the unit area is recorded as a general area. A first monitoring frequency and a second monitoring frequency are preset. The first monitoring frequency is greater than the second monitoring frequency. The first monitoring frequency is used to dynamically monitor the houses and buildings in the key area, and the second monitoring frequency is used to dynamically monitor the houses and buildings in the general area. Changes in housing conditions in the area are identified through dynamic monitoring.
[0061] It should be noted that the house change parameter value depends on the composition distribution of the building structure in the unit area. Generally speaking, in the same unit area, driven by culture and local economic development, the house structure will tend to be assimilated and the house building structure will change to a more stable structure with the development of social productivity. These structural changes are usually accompanied by changes in the house condition, which requires re-surveying and recording. Therefore, the house change parameter value can indirectly reflect whether the house structure distribution in the unit area tends to be stable, and thereby adjust the dynamic monitoring frequency to improve the overall monitoring efficiency.
[0062] Furthermore, the process of dynamically monitoring the housing condition is as follows:
[0063] Obtain satellite images within a unit area as regional images, identify buildings within the regional images based on intelligent recognition algorithms and delineate all house outlines in the regional images. Each house outline corresponds to a house building. Mark each house outline. The marking information includes the center coordinates and serial number of the house outline (that is, different house outlines can be distinguished by serial numbers and coordinates). The two most recently acquired regional images of the same unit area are recorded as the first image and the second image in turn. Compare the first image and the second image:
[0064] Counting the number of house outlines in the first image and the second image, when the number of house outlines in the second image is different from the number of house outlines in the first image, obtaining the center coordinates of all house outlines in the second image and comparing them with the center coordinates of all house outlines in the first image, and selecting house outlines corresponding to different center coordinates as houses to be tested;
[0065] The house outlines with the same center coordinates in the first image and the second image are compared, and the similarity between the two house outlines corresponding to the same center coordinates is calculated and recorded as a change reference value (the calculation of the similarity between images is a prior art and will not be described in detail here). The change reference value is compared with a preset similarity threshold. When the change reference value is less than the similarity threshold, the house outline corresponding to the center coordinate is recorded as the house to be tested.
[0066] It should be noted that the intelligent recognition algorithm refers to an intelligent recognition algorithm trained based on a big data model combined with a house satellite image database. It uses deep learning models, such as convolutional neural networks (CNN), to automatically learn and extract the features of house buildings from a variety of house satellite images in the database. These features may include the outline, shape, texture, size and other information of the house. The model identifies the features of the house building by learning these samples, thereby discovering and marking the house building and its outline in satellite images.
[0067] Based on image analysis technology, it is possible to compare the outlines of house buildings in the same two sets of regional images, so as to screen out the changed buildings and mark them. By marking the houses to be tested, even if the house owners have not registered or reported them, changes in the house buildings can be discovered in time, and the records can be identified and uploaded for subsequent unified planning and surveying, which is conducive to monitoring and management of housing conditions in the area.
[0068] The passive analysis module conducts further surveying and evaluation on the selected houses to be tested and calculates their surveying and mapping parameters so that the staff can understand their surveying and mapping difficulty:
[0069] Mark the house to be measured as a surveying house, use the center coordinates of the surveying house as its surveying position, and obtain the terrain parameters of the surveying house;
[0070] Get the number of pixels corresponding to the house outline of the surveyed house (which can reflect the area of the house outline) and the average altitude of the unit area corresponding to the center coordinates of the surveyed house, and substitute them into the formula Calculate in and get the land area parameters of the surveyed house ,in:
[0071] Num is the number of pixels;
[0072] is the average altitude;
[0073] is the preset benchmark value;
[0074] K is the preset constant coefficient;
[0075] Substitute the topographic parameters and land area parameters of the surveyed house into the formula Calculate and obtain the surveying and mapping parameters ,in is the preset weight coefficient.
[0076] It should be noted that the surveying parameters in the passive registration module depend on the geographical location and building area of the surveyed house. Therefore, the surveying parameters can evaluate the surveying difficulty of the surveyed house to a certain extent.
[0077] The survey preparation module evaluates the time consumption of house surveying in different management areas based on the surveying parameters of the surveyed houses, including:
[0078] All the surveyed houses that have not been surveyed are uniformly recorded as target houses, and the target houses are marked on the map. The minimum management area is used as the unit management area (in a specific embodiment, the village is used as the minimum management area, that is, the unit management area), and the number of target houses and the dispersion of target houses in each unit management area are counted. The target house dispersion calculation process is as follows:
[0079] Get the straight-line distance between any two target houses to get multiple house spacing values, and use the formula The target housing dispersion is calculated, where is the average value of the house spacing, is the maximum value of the house spacing, is the minimum value of the house spacing. is the preset weight coefficient. The dispersion of target houses reflects the dispersion degree of surveying and mapping houses in an area. When the dispersion is larger, it means that the distance between each surveying and mapping house is relatively far, which means that it takes more time to transfer the surveying and mapping targets when surveying and mapping houses in the area.
[0080] Obtain the number of target houses, the dispersion of target houses and the surveying and mapping parameters of target houses in the unit management area, normalize them and enter them into the formula Calculate the time consumption reference value of surveying and mapping of the unit management area ,in is the target number of houses within the unit's management area, is the preset weight coefficient.
[0081] It should be noted that the reference value for surveying and mapping time can comprehensively consider the overall dispersion of target houses, surveying and mapping difficulty, and number of surveying and mapping times, so as to reflect the time and difficulty required to survey all target houses within the unit management area. The larger the reference value for surveying and mapping of a unit management area, the more time it takes to conduct surveying and mapping statistics for the entire unit management area. The staff can use the reference value for surveying and mapping time to arrange the surveying and mapping work, and select appropriate single management areas for surveying and mapping according to working hours.
[0082] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.
Claims
1. An integrated housing surveying and mapping management platform, characterized in that: Houses that need to be surveyed and mapped are recorded as surveyed and mapped houses, including: Active analysis module, when the surveyed house is the house applied for surveying, registers the basic data of the surveyed house, calculates the material parameters, contour parameters and terrain parameters of the surveyed house based on the basic data analysis, and thereby calculates the surveying parameters of the surveyed house; The passive registration module divides the surveying and mapping management area into multiple unit areas, obtains the strength reference value of each registered house in the unit area, draws a bar chart of the number of registered houses with different strength reference values, and obtains the house change parameter value in the unit area through analysis. According to the house change parameter value, the houses in the unit area are dynamically monitored at different frequencies, wherein: Acquire a regional image within a unit area, identify the house outlines in the regional image based on an intelligent recognition algorithm, compare the house outlines in the two most recently acquired regional images, calculate the similarity between the two house outlines corresponding to the same central coordinates and record it as a change reference value, screen out house outlines with different central coordinate positions and house outlines with change reference values less than a similarity threshold, and uniformly record them as houses to be tested; The passive analysis module marks the house to be measured as a surveying house, analyzes and calculates the land area parameters of the surveying house and combines the terrain parameters of the surveying house to obtain the surveying parameters of the surveying house; The surveying and mapping preparation module records all the surveyed houses that have not been surveyed as target houses, marks the target houses on the map, takes the minimum management area as the unit management area, and counts the number of target houses and the dispersion of target houses in each unit management area; The target housing dispersion calculation process is as follows: Get the straight-line distance between any two target houses to get multiple house spacing values, and use the formula The target housing dispersion is calculated, where is the average value of the house spacing, is the maximum value of the house spacing, is the minimum value of the house spacing. is the preset weight coefficient; By combining the surveying parameters of all surveyed houses, the reference value of surveying time for the unit management area is calculated.
2. The integrated housing surveying and mapping management platform according to claim 1 is characterized in that: The material parameter calculation process of the surveyed house is as follows: Obtain the types and mass proportions of the building materials of the surveyed house, and arrange the types of building materials in descending order according to their mass proportions. , where i is the serial number of the building material, extract the main proportion ordered set There are multiple raw material coefficients preset, each raw material coefficient corresponds to a building raw material, and the raw material coefficients corresponding to each building raw material in the main proportion ordered set are recorded in turn as , substitute into the formula Calculate and obtain the material parameters of the surveyed house ,in These are preset values.
3. The integrated housing surveying and mapping management platform according to claim 1 is characterized in that: The contour parameter calculation process of the surveyed house is as follows: Get the floor space of the surveyed house , Number of rooms , Total number of rooms and the number of floors , substitute into the formula Calculate in and get the outline parameters of the surveyed house ,in , is the preset constant coefficient.
4. The integrated housing surveying and mapping management platform according to claim 1 is characterized in that: The terrain parameter calculation process of the surveyed house is as follows: Obtain the location of the surveyed house in the satellite map as the surveyed location, cut off a square area with a side length of 1 km with the surveyed location as the center and record it as the area where the house is located, obtain a 50-meter contour map in the area where the house is located and record it as the regional contour map, record the closed contour lines in the regional contour map as complete gradient lines, and count the number of complete gradient lines as the first gradient reference value , obtain the total length of the contour lines in the regional contour map as the second gradient reference value , substitute into the formula Calculate the terrain parameters of the area where the house is located ,in These are all preset weight coefficients.
5. The integrated housing surveying and mapping management platform according to claim 4 is characterized in that: The surveying and mapping parameter calculation process is as follows: Get the material parameters of the surveyed house , profile parameters And survey the topographic parameters of the area where the house is located , substitute into the formula Calculate and obtain the surveying and mapping parameters ,in All are preset weight coefficients.
6. The integrated housing surveying and mapping management platform according to claim 1 is characterized in that: The dynamic monitoring frequency adjustment process is as follows: The area under surveying and mapping management is recorded as the total management area, the total management area is divided into multiple unit areas, the houses registered in the unit area are recorded as registered houses, the number of registered houses in the unit area and the structural category of each registered house are counted, a strength reference value is assigned to each building structure, and thus the strength reference value distribution of the registered houses in the unit area is obtained; Draw a bar graph of the number of registered houses with different strength reference values in the unit area, and obtain the top three strength reference values in the bar graph as the main strength values. , , , substitute into the formula Calculate the house change parameter value by All are preset weight coefficients. is the preset comparison value; A house change threshold is preset. When the house change parameter value is greater than the house change threshold, the unit area is recorded as a key area. When the house change parameter value is less than the house change threshold, the unit area is recorded as a general area. A first monitoring frequency and a second monitoring frequency are preset. The first monitoring frequency is greater than the second monitoring frequency. The first monitoring frequency is used to dynamically monitor the houses and buildings in the key area, and the second monitoring frequency is used to dynamically monitor the houses and buildings in the general area.
7. The integrated housing surveying and mapping management platform according to claim 6 is characterized in that: The dynamic monitoring process of the house is as follows: The satellite image of the unit area is obtained and recorded as the regional image. The houses and buildings in the regional image are identified based on the intelligent recognition algorithm and all the house outlines of the regional image are delineated. Each house outline corresponds to a house building. Each house outline is marked. The marking information includes the center coordinates and serial number of the house outline. The two most recently obtained regional images of the same unit area are recorded as the first image and the second image in turn. The first image and the second image are compared: Counting the number of house outlines in the first image and the second image, when the number of house outlines in the second image is different from the number of house outlines in the first image, obtaining the center coordinates of all house outlines in the second image and comparing them with the center coordinates of all house outlines in the first image, and selecting house outlines corresponding to different center coordinates as houses to be tested; The house outlines with the same center coordinates in the first image and the second image are compared, the similarity between the two house outlines corresponding to the same center coordinates is calculated and recorded as a change reference value, and the change reference value is compared with a preset similarity threshold. When the change reference value is less than the similarity threshold, the house outline corresponding to the center coordinate is recorded as the house to be tested.
8. The integrated housing surveying and mapping management platform according to claim 7 is characterized in that: The process of the passive analysis module calculating the surveying and mapping parameters of the house to be tested is as follows: Mark the house to be measured as the surveying house, use the center coordinates of the surveying house as its surveying position, and obtain the terrain parameters of the surveying house; Get the number of pixels corresponding to the house outline of the surveyed house and the average altitude of the unit area corresponding to the center coordinates of the surveyed house, and substitute them into the formula Calculate in and get the land area parameters of the surveyed house ,in: Num is the number of pixels; is the average altitude; is the preset benchmark value; K is the preset constant coefficient; Substitute the topographic parameters and land area parameters of the surveyed house into the formula Calculate and obtain the surveying and mapping parameters ,in is the preset weight coefficient.
9. The integrated housing surveying and mapping management platform according to claim 1 is characterized in that: The calculation process of the reference value of surveying and mapping time consumption is as follows: Obtain the number of target houses, the dispersion of target houses and the surveying and mapping parameters of target houses in the unit management area, normalize them and enter them into the formula Calculate the time consumption reference value of surveying and mapping of the unit management area ,in is the target number of houses within the unit's management area, is the preset weight coefficient.
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