Land measurement method for multi-source data of industrial park handheld tablet device

Abstract

The application relates to the technical field of land measurement, in particular to a land measurement method for multi-source data of a handheld tablet device in an industrial park, which comprises the following steps: a user carries a collection device to move in the park, real-time collection of position coordinates in the park is carried out through the collection device, and the collection device synchronously stores the collected position coordinates; the collection device, namely the handheld tablet device, is internally provided with a moving distance sensor, a gyroscope and a detachable storage hard disk; after the position coordinates in the park are collected, the position coordinates are synchronously transmitted to the storage hard disk and stored in the storage hard disk; the handheld tablet device is taken as the main body, relative coordinate continuous collection is carried out at any position in the park through distance measurement and gyroscope direction sensing, a three-dimensional model of the land surface of the park is constructed based on the collected coordinates, the process of land measurement in the park is further simplified, and land measurement work after the collection of the land coordinates in the park is carried out more quickly.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of land measurement, and particularly relates to a land measurement method for multi-source data of a handheld tablet device in an industrial park. BACKGROUND

[0002] Park land measurement aims to accurately determine various parameters of park land. Through professional measurement technology, data such as land area, shape, topography, and the like are obtained. This not only provides a basis for park planning and layout, helps to reasonably divide functional areas, but also assists in cost accounting and investment evaluation, and ensures efficient use and development of park land resources.

[0003] In an application No. 201710318638.3, a land area measurement method is disclosed. A ruler is placed on one side of the land to be measured, and then a drone is used to take a photograph of the land to be measured and the ruler to obtain an overhead view. The overhead view is processed to obtain a land contour map and a ruler projection. The ratio between the length of the ruler projection and the actual length of the ruler is the scale. There are n vertices in the land contour map, and n is an integer greater than 3. One vertex in the land contour map is marked as the origin 0, and the other vertices in the land contour map are marked in reverse order clockwise starting from the origin 0. The mth vertex is marked as Am-1, and m is an integer greater than 1 and less than n+1. The land contour map is divided into n-2 triangular modules, and the sum of the directed areas of the n-2 triangular modules is equal to the area of the land contour map. In the land contour map, the first vertex of the triangular module is 0, the second vertex of the angular module is Ak-1, and the third vertex of the triangular module is Ak, and k is an integer greater than 1 and less than m+1.

[0004] The application aims to solve the problem of large error in the measurement result due to the complex actual shape of the land in the process of measuring the land area using the traditional graphic method.

[0005] However, the existing park land measurement technology can easily perform data collection, but the integration of the collected data is relatively weak, and the measurement result cannot be quickly output.

[0006] Therefore, a land measurement method for multi-source data of a handheld tablet device in an industrial park is proposed. SUMMARY

[0007] In view of the above shortcomings of the prior art, the present application provides a land measurement method for multi-source data of a handheld tablet device in an industrial park, which solves the technical problems proposed in the background art.

[0008] To achieve the above purpose, the present application is realized by the following technical scheme:

[0009] A land measurement method for multi-source data of an industrial park handheld tablet device, comprising:

[0010] The user carries the collection device to move in the park, and collects the position coordinates in the park in real time through the collection device. The collection device synchronously stores the collected position coordinates;

[0011] The collection device is a handheld tablet device, which is internally provided with a moving distance sensor, a gyroscope and a detachable storage hard disk. After the position coordinates in the park are collected, they are synchronously transmitted to the storage hard disk and stored in the storage hard disk;

[0012] In the initial stage of the user carrying the collection device to move in the park, the collection device is synchronously started. In the starting stage of the collection device, the initial coordinates are set as (x0, y0, z0). The distance sensor runs to realize real-time sensing of the moving distance of the collection device. The gyroscope runs to realize real-time sensing of the moving direction and angle of the collection device;

[0013] The moving distance sensor, the gyroscope and the storage hard disk in the collection device continuously run based on the running frequency defined by the user. The moving distance sensor, the gyroscope and the storage hard disk in the collection device each collect one distance parameter, one direction parameter and one angle parameter in each running. The storage hard disk runs following the above, calculates the current coordinates based on the last determined coordinates and stores them;

[0014] After each distance parameter, direction parameter and angle parameter are collected, they are synchronously transmitted to the storage hard disk and synchronously refreshed and run;

[0015] The calculation logic of the current coordinates is as follows:

[0016]

[0017] In the formula, (x1, y1, z1) is the current coordinates, d is the moving distance, β is the elevation angle, and α is the azimuth angle;

[0018] Based on the above logic, the continuously calculated current coordinates are marked as (x1, y1, z1), (x2, y2, z2), (x3, y3, z3), and so on;

[0019] A three-dimensional space is created, an initial coordinate is picked up in the three-dimensional space, coordinates connected with the initial coordinate are obtained based on time sequence in the stored park position coordinates, and a three-dimensional model of the park land surface is constructed; the three-dimensional model of the park land surface is obtained, the three-dimensional model of the park land surface is cleaned, a storage operation is performed on the park land surface three-dimensional model after cleaning, and relevant modeling information is marked on the stored park land surface three-dimensional model; the construction of the park land surface three-dimensional model is continuously performed for several times, a plurality of park land surface three-dimensional models are obtained, the similarity of each park land surface three-dimensional model is analyzed, and the credibility weight of each park land surface three-dimensional model is evaluated; and the similarity and credibility weight of each park land surface three-dimensional model are integrated to output the park land calculation result.

[0020] Further, any number of coordinates in (x1, y1, z1), (x2, y2, z2), (x3, y3, z3),... are used as initial coordinates to collect the park position coordinates.

[0021] Further, the user who collects the park position coordinates carries a collection device.

[0022] Further, the park position coordinates connected with the initial coordinates are obtained from a storage hard disk, and in the stage of obtaining the park position coordinates, each stored park position coordinate is traversed to obtain the park position coordinates in chronological order from early to late, and the connection operation is performed. After each connection is completed, the park position coordinates used in the connection are used as the connection target of the next park position coordinates.

[0023] Further, the park land surface three-dimensional model is obtained by connecting a plurality of line segments to obtain a plurality of surfaces, and the plurality of surfaces are spliced to form the park land surface three-dimensional model. The cleaning logic of the park land surface three-dimensional model is represented as:

[0024] The line segments in the park land surface three-dimensional model that are not connected to obtain a closed surface are captured, and the captured line segments are used as the deletion target to perform the deletion operation.

[0025] The relevant modeling information marked on the park land surface three-dimensional model includes the number of deleted line segments on the park land surface three-dimensional model, the number of position coordinates used for constructing the park land surface three-dimensional model, and the coordinate balance degree.

[0026] Further, after the construction of the park land surface three-dimensional model is completed, the park land area and the park use area are calculated based on the model. The park land area is the area of the closed figure surrounded by all the edge line segments in the park land surface three-dimensional model, and the park use area is the total area of the surfaces formed by all the line segments in the park land surface three-dimensional model.

[0027] Further, the position coordinate balance degree for the park land surface three-dimensional model construction is:

[0028]

[0029] In the formula, U is the position coordinate balance degree for the park land surface three-dimensional model construction; m is the total quantity of the position coordinates for the park land surface three-dimensional model construction; d j,near is the distance between the jth position coordinate and its adjacent coordinate; A is the park land area;

[0030] When U is close to 1, it indicates that the distribution of the position coordinates for the park land surface three-dimensional model construction is balanced; when U is much greater than 1, it indicates that the distribution of the position coordinates for the park land surface three-dimensional model construction is relatively sparse; and when U is much less than 1, it indicates that the distribution of the position coordinates for the park land surface three-dimensional model construction is relatively dense.

[0031] Further, the similarity degree analysis logic of the park land surface three-dimensional model is represented as:

[0032]

[0033] In the formula, S is the similarity degree of two park land surface three-dimensional models; K is the interval quantity of the voxel space divided according to the geometric attribute; h 1,v , h 2,v is the quantity of the occupied voxels in the ith interval of the voxel histogram of one park land surface three-dimensional model, and the quantity of the occupied voxels in the ith interval of the voxel histogram of another park land surface three-dimensional model;

[0034] Wherein, the greater S is, the more similar the two park land surface three-dimensional models are, and vice versa. Based on the above formula, the similarity degree limit of each park land surface three-dimensional model and the remaining park land surface three-dimensional models is calculated, and the sum is calculated, and the park land surface three-dimensional model with the highest sum result is taken as the park land calculation reference group one, and the remaining park land surface three-dimensional models are taken as the park land calculation reference group two.

[0035] Further, the credibility weight evaluation target is the park land calculation reference group two, the credibility weight of each park land surface three-dimensional model in the park land calculation reference group two is user-defined, and is subject to:

[0036] The fewer the number of deleted line segments on the park land surface three-dimensional model is, the higher the credibility weight is, and vice versa;

[0037] The more the number of position coordinates for the park land surface three-dimensional model construction is, the higher the credibility weight is, and vice versa;

[0038] The higher the position coordinate balance degree of the park land surface three-dimensional model is, the higher the corresponding credibility weight is, and vice versa.

[0039] The sum of the credibility weights of the park land surface three-dimensional models in the park land calculation reference group two is 1.

[0040] Further, the output logic of the park land calculation result is:

[0041]

[0042] In the formula, S is the park land area or the use area, ω1 and ω2 are weights, S1 is the park land area or the use area of the park land surface three-dimensional model in the park land calculation reference group one, p is a set of park land surface three-dimensional models in the park land calculation reference group two, S q is the park land area or the use area corresponding to the qth park land surface three-dimensional model, and ε q is the credibility weight corresponding to the qth park land surface three-dimensional model.

[0043] In the formula, ω1>ω2, and the sum of the two is 1, and ω2 is initially set to 0.1.

[0044] Compared with the known prior art, the technical scheme provided by the application has the following beneficial effects:

[0045] The application provides a land calculation method for multi-source data of an industrial park handheld tablet device. In the execution process, the handheld tablet device is used as the main body, relative coordinate continuous collection is performed at any position in the park by distance measurement and gyroscopic direction sensing, a park land surface three-dimensional model is constructed based on the collected coordinates, the park land calculation process is further simplified, the land calculation work after the park land coordinates are collected can be carried out more quickly, and the park land calculation result can be further refined by repeated coordinate collection. In addition, since the handheld tablet device is used as the main body, the park land coordinates can be collected in a distributed and partitioned manner, so that the efficiency of the work is further improved. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the drawings needed in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0047] Figure 1A flowchart of a land measurement method for multi-source data of a handheld tablet device in an industrial park. DETAILED DESCRIPTION

[0048] To make the objects, technical solutions, and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0049] The present application will be further described in conjunction with the embodiments.

[0050] Embodiment

[0051] A land measurement method for multi-source data of a handheld tablet device in an industrial park in the embodiment comprises the following steps of: Figure 1

[0052] The user carries the collection device to move in the park, and the collection device is used to collect the position coordinates in the park in real time, and the collection device is used to store the collected position coordinates synchronously;

[0053] The collection device is a handheld tablet device, the handheld tablet device is internally provided with a moving distance sensor, a gyroscope, and a detachable storage hard disk, the position coordinates in the park are transmitted to the storage hard disk synchronously after being collected, and are stored in the storage hard disk;

[0054] In the initial stage of the user carrying the collection device to move in the park, the collection device is started synchronously, in the starting stage of the collection device, the initial coordinates are set as (x0, y0, z0), the distance sensor is used to sense the moving distance of the collection device in real time, the gyroscope is used to sense the moving direction and angle in real time, and the collection device is used to collect the position coordinates in the park in real time;

[0055] The moving distance sensor, the gyroscope, and the storage hard disk in the collection device are continuously operated based on the operation frequency defined by the user side, the moving distance sensor, the gyroscope, and the storage hard disk in the collection device collect a distance parameter, a direction parameter, and an angle parameter respectively each time, the storage hard disk is operated following, and the current coordinates are calculated based on the last determined coordinates and are stored;

[0056] Each time the distance parameter, the direction parameter, and the angle parameter are collected, they are transmitted to the storage hard disk synchronously, and are refreshed synchronously;

[0057] The calculation logic of the current coordinates is as follows:

[0058]

[0059] ​In the formula: (x1, y1, z1) is the current coordinate; d is the moving distance; β is the elevation angle; and α is the azimuth angle.

[0060] The current coordinates (x1, y1, z1), (x2, y2, z2), (x3, y3, z3),... are sequentially calculated based on the above logic.

[0061] Any number of coordinates in (x1, y1, z1), (x2, y2, z2), (x3, y3, z3),... are used as initial coordinates to collect the in-park location coordinates.

[0062] The user who collects the in-park location coordinates carries a collection device.

[0063] A three-dimensional space is created, the initial coordinates are picked up in the three-dimensional space, and the coordinates are connected based on the time sequence in the stored in-park location coordinates to construct a three-dimensional model of the park land surface.

[0064] The in-park location coordinates connected with the initial coordinates are sourced from the storage hard disk. In the stage of obtaining the in-park location coordinates, all the stored in-park location coordinates are traversed to obtain the in-park location coordinates in the time sequence from early to late, and the connection operation is performed. After each connection is completed, the in-park location coordinates used in the connection are used as the connection target of the next in-park location coordinates.

[0065] The three-dimensional model of the park land surface is obtained by connecting a plurality of line segments to form a plurality of surfaces, and the plurality of surfaces are spliced together. The cleaning logic of the three-dimensional model of the park land surface is represented as:

[0066] The line segments in the three-dimensional model of the park land surface that are not connected to form a closed surface with adjacent line segments are captured, and the captured line segments are used as the deletion target to perform the deletion operation.

[0067] The related modeling information marked by the three-dimensional model of the park land surface includes: the number of deleted line segments on the three-dimensional model of the park land surface, the number of position coordinates used for constructing the three-dimensional model of the park land surface, and the coordinate balance degree.

[0068] After the three-dimensional model of the park land surface is constructed, the park land area and the park use area are calculated based on the model. The park land area is the area of the closed figure surrounded by all the edge line segments in the three-dimensional model of the park land surface, and the park use area is the total area of all the surfaces formed by the line segments in the three-dimensional model of the park land surface.

[0069] The coordinate balance degree of the position coordinates used for constructing the three-dimensional model of the park land surface is:

[0070]

[0071] In the formula: U is the uniformity of position coordinates for the three-dimensional model construction of the park land surface; m is the total amount of position coordinates for the three-dimensional model construction of the park land surface; d j,near is the distance between the jth position coordinate and its adjacent coordinates; A is the park area;

[0072] When U is close to 1, it indicates that the distribution of position coordinates for the three-dimensional model construction of the park land surface is uniform; when U is much greater than 1, it indicates that the distribution of position coordinates for the three-dimensional model construction of the park land surface is relatively sparse; and when U is much less than 1, it indicates that the distribution of position coordinates for the three-dimensional model construction of the park land surface is relatively dense.

[0073] The above logical formula limits the calculation method of the uniformity of position coordinates for the three-dimensional model construction of the park land surface.

[0074] Obtain the three-dimensional model of the park land surface, clean the three-dimensional model of the park land surface, store the three-dimensional model of the park land surface after cleaning, and mark the relevant modeling information of the stored three-dimensional model of the park land surface;

[0075] Continuously perform the construction of the three-dimensional model of the park land surface for several times to obtain several three-dimensional models of the park land surface, analyze the similarity of each three-dimensional model of the park land surface, and evaluate the credibility weight of each three-dimensional model of the park land surface.

[0076] The similarity analysis logic of the three-dimensional model of the park land surface is represented as:

[0077]

[0078] In the formula: S is the similarity of two three-dimensional models of the park land surface; K is the number of intervals obtained by dividing the voxel space according to geometric properties; h 1,v 2,v is the number of occupied voxels in the ith interval of the voxel histogram of one three-dimensional model of the park land surface, and the number of occupied voxels in the ith interval of the voxel histogram of another three-dimensional model of the park land surface.

[0079] The above formula limits a specific calculation logic for the similarity calculation of the three-dimensional model of the park land surface, ensuring stable output of the similarity calculation result of the three-dimensional model of the park land surface.

[0080] Wherein, the greater S is, the more similar the two three-dimensional models of the park land surface are, and vice versa. Based on the above formula, the similarity limit of each three-dimensional model of the park land surface and the remaining three-dimensional models of the park land surface is calculated, and the sum is calculated to obtain the three-dimensional model of the park land surface with the highest sum as the first reference group of the park land surface calculation, and the remaining three-dimensional models of the park land surface as the second reference group of the park land surface calculation.

[0081] ​The credibility weight evaluation target is the park land calculation reference group two, the credibility weight of each park land surface three-dimensional model in the park land calculation reference group two is defined by the user end, and is subject to:

[0082] The fewer the number of line segments deleted on the park land surface three-dimensional model, the higher the corresponding credibility weight, and vice versa;

[0083] The more the number of position coordinates used for constructing the park land surface three-dimensional model, the higher the corresponding credibility weight, and vice versa;

[0084] The higher the balance degree of the position coordinates used for constructing the park land surface three-dimensional model, the higher the corresponding credibility weight, and vice versa;

[0085] Wherein, the sum of the credibility weights of each park land surface three-dimensional model in the park land calculation reference group two is 1;

[0086] The park land calculation result is output by comprehensively considering the similarity degree and the credibility weight of each park land surface three-dimensional model;

[0087] The output logic of the park land calculation result is:

[0088]

[0089] In the formula, S is the park land area or the use area; ω1 and ω2 are weights; S1 is the park land area or the use area of the park land surface three-dimensional model in the park land calculation reference group one; p is a set of each park land surface three-dimensional model in the park land calculation reference group two; S q is the park land area or the use area corresponding to the qth park land surface three-dimensional model; ε q is the credibility weight corresponding to the qth park land surface three-dimensional model;

[0090] The calculation logic of the park land area or the use area is further provided and limited through the above logical formula.

[0091] Wherein, ω1>ω2, and the sum of the two is 1, and ω2 is initially set to 0.1.

[0092] In the embodiment, through the execution of the method in the above embodiment, a technology with higher precision and the ability to independently integrate and output the land calculation result is provided for park land calculation, effectively making up for the shortcomings of the prior art.

[0093] Further configurations and related designs of the handheld tablet device:

[0094] Hardware design:

[0095] ■Processor: High-performance and low-power processor is adopted to ensure the device can quickly handle large amounts of data collection tasks. For example, [specific model] processor is selected, which has [X] cores and a clock speed of up to [X] GHz, enabling it to analyze and process data collected by various sensors in a short time.

[0096] ■Display screen: High-resolution, touch-enabled display screen is equipped to facilitate operators to visually view and operate the data collection interface. The display screen is [X] inches in size, with a resolution of [X] x [X] pixels, and has good viewing angles and color reproduction.

[0097] ■Storage module: Large-capacity storage module is built-in to store collected data. [Specific capacity] GB solid-state drive can be used to ensure safe storage of data, while supporting external storage expansion, such as through an SD card slot to expand storage capacity.

[0098] ■Communication module: Multiple communication methods are integrated, including Wi-Fi, Bluetooth, 4G / 5G, etc., to transmit collected data to the background management system in real time. The Wi-Fi module supports [specific standard] with a transmission speed of up to [X] Mbps; the 4G / 5G module can meet the high-speed and stable data transmission requirements to ensure timely data upload.

[0099] ■Battery: High-capacity lithium battery is used to provide long-lasting power support for the device. The battery capacity is [X] mAh, which, combined with low-power hardware design, can ensure the device to work continuously for more than [X] hours.

[0100] ■Sensor integration:

[0101] ● GPS / Beidou positioning module: Used to accurately obtain the geographical position information of the collection site, with an accuracy of [X] meters. Whether in open areas or densely built-up areas, the device can accurately determine its position, providing precise positioning support for land data collection.

[0102] ● Image acquisition module: Equipped with a high-pixel camera to capture images of enterprise logos, park facility appearances, etc. The camera has [X] million pixels, supports auto-focus and multiple shooting modes, and can clearly capture the required image details.

[0103] ● NFC module: Used to read information on NFC tags on enterprise or park facilities, such as device numbers, asset information, etc. By close contact with the NFC tag, relevant data can be quickly obtained, improving data collection efficiency.

[0104] ● IoT data collection interface: equipped with various types of IoT data collection interfaces such as RS485, RS232, Ethernet interface, etc., which can connect with various IoT devices in the park and collect real-time data such as device running status and energy consumption.

[0105] ○ Software design:

[0106] ■ Operating system: based on [specific operating system name] for customized development, optimizing system performance to make it more suitable for data collection scenarios. The operating system has a simple and easy-to-use user interface, making it easy for operators to quickly get started.

[0107] ■ Data collection software:

[0108] ● Data collection interface: designed with a simple and intuitive data collection interface, operators can select the appropriate collection function module according to different data collection tasks. For example, in the land data collection module, you can quickly get the land coordinates through the positioning function, and input the land area, purpose, etc. In the enterprise data collection module, you can scan the enterprise two-dimensional code or NFC tag to automatically obtain the basic information of the enterprise, and manually input the enterprise operating status, employee number, etc. In the park facility data collection module, connect the IoT data collection interface to obtain real-time facility operation data and take photos to record the appearance of the facility.

[0109] ● Data storage and management: collected data is automatically stored in the device's storage module and classified according to different categories and collection times. The data storage format uses [specific format] to facilitate subsequent data query and analysis. At the same time, the software has data backup and recovery functions, which can backup important data to external storage devices or cloud to prevent data loss.

[0110] Data transmission and synchronization: through the device's communication module, the collected data is transmitted to the background management system in real time. During transmission, encryption technology is used to ensure data security and integrity. At the same time, the software supports data synchronization function, when the device and the background management system are connected, the local updated data is automatically synchronized to the background, ensuring data consistency.

[0111] To sum up, in the method in the above embodiment, a handheld tablet device is used as a main body, and relative coordinate continuous collection is performed at any position in the park by means of distance measurement and gyroscopic direction sensing, so as to construct a three-dimensional model of the park land surface based on the collected coordinates, thereby further simplifying the process of park land measurement, and making the land measurement work after the park land coordinates are collected more efficient. In the application process of the method, the measurement result of the park land can be further refined by repeatedly collecting coordinates. In addition, since the handheld tablet device is used as the main body, the park land coordinates can also be collected in a distributed and partitioned manner, thereby further improving the efficiency of the work.

[0112] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit the present application; although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A land surveying method using multi-source data from handheld tablet devices in industrial parks, characterized in that, include: Users carry data collection devices and move around the park, collecting real-time location coordinates within the park. The data collection devices also store the collected location coordinates simultaneously. Create a three-dimensional space, pick the initial coordinates in the three-dimensional space, and obtain the coordinates from the stored location coordinates in the park based on time sequence and connect them with the initial coordinates to construct a three-dimensional model of the park's land surface. Obtain a 3D model of the park's land surface, clean the 3D model of the park's land surface, store the cleaned 3D model of the park's land surface, and mark the stored 3D model of the park's land surface with relevant modeling information; The 3D model of the park's land surface is composed of several lines connected to form several surfaces, which are then pieced together. The cleaning logic of the 3D model of the park's land surface is expressed as follows: Traverse the 3D model of the park's land surface, capture line segments in the 3D model of the park's land surface that are not connected to adjacent line segments to form closed surfaces, and use the captured line segments as deletion targets to perform deletion operations; The relevant modeling information for the three-dimensional land surface model markings in the park includes: the number of line segments deleted from the three-dimensional land surface model of the park, the number of position coordinates used to construct the three-dimensional land surface model of the park, and the degree of coordinate balance; After the three-dimensional model of the park's land surface is completed, the park's land area and usable area are calculated simultaneously based on the model. The park's land area is the area of ​​the closed shape enclosed by all edge line segments in the three-dimensional model of the park's land surface, and the park's usable area is the sum of the areas of the surfaces formed by all line segments in the three-dimensional model of the park's land surface. The degree of uniformity of the position coordinates used in constructing the three-dimensional model of the park's land surface is as follows: ; In the formula: U represents the degree of balance of position coordinates used in constructing the 3D model of the park's land surface; m represents the total amount of position coordinates used in constructing the 3D model of the park's land surface. Let be the distance between the j-th location coordinates and its neighboring coordinates; A is the area of ​​the park. When U is close to 1, it indicates that the distribution of location coordinates used to construct the 3D model of the park's land surface is balanced; when U is much greater than 1, it indicates that the distribution of location coordinates used to construct the 3D model of the park's land surface is relatively sparse; and when U is much less than 1, it indicates that the distribution of location coordinates used to construct the 3D model of the park's land surface is relatively dense. The construction of three-dimensional land surface models of the park is carried out several times in succession to obtain several three-dimensional land surface models of the park. The similarity between the three-dimensional land surface models of the park is analyzed and the credibility weight of the three-dimensional land surface models of the park is evaluated. The land measurement results for each park are output by combining the similarity and credibility weights of the three-dimensional land surface models of each park.

2. The land surveying method for handheld tablet devices in industrial parks according to claim 1, characterized in that, The data acquisition device is a handheld tablet device, which is equipped with a motion distance sensor, a gyroscope and a removable storage hard drive. After the location coordinates within the park are collected, they are simultaneously transmitted to the storage hard drive and stored there. In the initial stage when the user moves within the park with the data acquisition device, the data acquisition device is turned on synchronously. During the power-on stage, the initial coordinates are set to (x0, y0, z0). The distance sensor operates to perceive the moving distance of the data acquisition device in real time, and the gyroscope operates to perceive the moving direction and angle in real time.

3. The land surveying method for multi-source data from handheld tablet devices in industrial parks according to claim 2, characterized in that, The mobile distance sensor, gyroscope, and storage hard disk in the acquisition device operate continuously based on the user-defined operating frequency. Each time the mobile distance sensor and gyroscope operate, they acquire a distance parameter, a direction parameter, and an angle parameter, respectively. The storage hard disk follows the operation, calculates the current coordinates based on the previously determined coordinates, and stores them. Each time the distance, direction, and angle parameters are collected, they are synchronously transmitted to the storage hard disk and refreshed simultaneously. The logic for obtaining the current coordinates is as follows: ; In the formula: The current coordinates; The distance traveled; Angle of elevation; It is the azimuth angle; Among them, the current coordinates are continuously calculated based on the above logic. .

4. The land surveying method for multi-source data from handheld tablet devices in industrial parks according to claim 3, characterized in that, The Any number of coordinates are used as initial coordinates to collect location coordinates within the park; Among them, all users who performed location coordinate collection within the park carried collection equipment.

5. The land surveying method for handheld tablet devices in industrial parks according to claim 1, characterized in that, The location coordinates within the park connected to the initial coordinates are obtained from the storage hard drive. During the stage of obtaining location coordinates within the park, the storage location coordinates within the park are traversed in order from earliest to latest. The location coordinates within the park are obtained sequentially and the connection operation is performed. After each connection is completed, the location coordinates within the park used for the connection are used as the connection target for the next location coordinate within the park.

6. The land surveying method for multi-source data from handheld tablet devices in industrial parks according to claim 1, characterized in that, The similarity analysis logic of the three-dimensional land surface model of the park is expressed as follows: ； In the formula: The degree of similarity between the three-dimensional land surface models of the two parks; The number of intervals into which the voxel space is divided according to geometric properties; Let i be the number of voxels occupied in the i-th interval of the voxel histogram of a 3D land surface model of one park, and let i be the number of voxels occupied in the i-th interval of the voxel histogram of a 3D land surface model of another park. in, The larger the value, the more similar the three-dimensional land surface models of the two parks are; conversely, the smaller the value, the less similar they are. Based on the above formula, the similarity limit between the three-dimensional land surface model of each park and the three-dimensional land surface models of the remaining parks is calculated and summed. The three-dimensional land surface model of the park with the highest summation result is taken as the first reference group for park land measurement, and the three-dimensional land surface models of the remaining parks are taken as the second reference group for park land measurement.

7. The land surveying method for multi-source data from handheld tablet devices in industrial parks according to claim 6, characterized in that, The credibility weight assessment target is the second reference group for land measurement in the park. The credibility weight of each three-dimensional land surface model in the second reference group is defined by the user and follows the following rules: The fewer line segments deleted from the 3D model of the park's land surface, the higher the corresponding credibility weight, and vice versa. The more location coordinates used in the construction of the 3D model of the park's land surface, the higher the corresponding credibility weight, and vice versa. The higher the degree of balance of location coordinates used in the construction of the 3D model of the park's land surface, the higher the corresponding credibility weight, and vice versa. In this context, the sum of the credibility weights of the three-dimensional land surface models of each park in the reference group two for land measurement in the park is 1.

8. The land surveying method for multi-source data from handheld tablet devices in industrial parks according to claim 7, characterized in that, The output logic of the land survey results for the industrial park is as follows: ； In the formula: The area occupied or used by the park; As weight; The park's land area or usable area is represented in the 3D model of the park's land surface in the reference group one for land measurement of the park. This is a collection of three-dimensional land surface models for each park in the reference group two for land measurement in the park. The qth park's land area or usable area corresponds to the 3D model of the park's land surface. Let be the credibility weight corresponding to the 3D model of the land surface of the qth park. in, And the sum of the two is 1. The initial value is set to 0.1.

Images