Land measuring and calculating method for multi-source data of handheld tablet equipment in industrial park

Abstract

The invention relates to the technical field of land measurement and calculation, in particular to a land measurement and calculation method for multi-source data of handheld tablet equipment in an industrial park, which comprises the steps that a user carries acquisition equipment to move in the park, position coordinates in the park are acquired in real time through the acquisition equipment, and the acquisition equipment synchronously stores the acquired position coordinates; the acquisition device is a handheld tablet device, a mobile distance sensor, a gyroscope and a detachable storage hard disk are installed in the handheld tablet device, and after acquisition of position coordinates in the park is completed, the position coordinates are synchronously transmitted to the storage hard disk and stored in the storage hard disk; according to the invention, the hand-held tablet device is used as a main body, continuous acquisition of relative coordinates is executed at any position in the park by means of distance measurement and direction sensing by a gyroscope, so that the park land surface three-dimensional model is constructed based on the acquired coordinates, the process of park land measurement and calculation is further simplified, and the precision of land measurement and calculation is improved. Therefore, the land measurement and calculation work after the land coordinates of the park are acquired can be carried out more quickly.

Description

Technical Field

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

[0002] The measurement of land in the park aims to accurately determine various parameters of the park land. Through professional measurement techniques, data such as land area, shape, topography, and geomorphology 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 to ensure the efficient utilization and development of park land resources.

[0003] The invention patent with the application number 201710318638.3 discloses a method for measuring land area. A scale is placed on one side of the land to be measured, and then an unmanned aerial vehicle is used to take an aerial photograph of the land to be measured and the scale to obtain a top view. Image processing is performed on the top view to obtain a contour map of the land to be measured and the projection of the scale. The ratio between the length of the scale projection and the actual length of the scale is the scale; there are n vertices in the contour map of the land to be measured, where n is an integer greater than 3. One vertex in the contour map of the land to be measured is marked as the origin 0, and the other vertices in the contour map of the land to be measured are marked in a counterclockwise order starting from the origin 0. The mth vertex is marked as Am-1, where m is an integer greater than 1 and less than n + 1; the contour map of the land to be measured is decomposed into n - 2 triangular modules, and the sum of the oriented areas of the n - 2 triangular modules is equal to the area of the contour map of the land to be measured: in the contour map of the land to be measured, 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, where k is an integer greater than 1 and less than m + 1.

[0004] This application aims to solve the problem that "in the process of measuring land area using the traditional graphical method, due to the complex actual shape of the land, the measurement result has a large error".

[0005] However, most of the existing park land measurement technologies are capable of easily handling data collection, but their ability in the integration stage of the collected data is relatively weak, and they cannot quickly output the measurement results.

[0006] Therefore, a method for measuring land using multi-source data of a handheld tablet device in an industrial park is proposed. Summary of the Invention

[0007] In view of the above-mentioned drawbacks of the prior art, the present invention provides a method for measuring land using multi-source data of a handheld tablet device in an industrial park, which solves the technical problems raised in the above background art.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions:

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

[0010] The user carries the acquisition device and moves within the park, and the acquisition device collects the position coordinates within the park in real time, and the acquisition device synchronously stores the collected position coordinates;

[0011] The acquisition device is the handheld tablet device. A mobile distance sensor, a gyroscope and a removable storage hard disk are installed inside the handheld tablet device. After the position coordinates within the park are collected, they are synchronously transmitted to the storage hard disk and stored in the storage hard disk;

[0012] Among them, at the beginning stage when the user carries the acquisition device and moves within the park, the acquisition device is turned on synchronously. During the startup stage of the acquisition device, the initial coordinates are set as (x0, y0, z0). The distance sensor runs to sense the moving distance of the acquisition device in real time, and the gyroscope runs to sense the moving direction and angle in real time, and the acquisition device;

[0013] The mobile distance sensor, the gyroscope and the storage hard disk in the acquisition device run continuously based on the operation frequency customized by the user. Each time the mobile distance sensor and the gyroscope in the acquisition device run, they respectively collect a distance parameter, a direction parameter and an angle parameter. The storage hard disk runs accordingly, calculates the current coordinates based on the previously 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 the operation is synchronously refreshed;

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

[0016]

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

[0018] Among them, continuously calculating the current coordinates based on the above logic is denoted as (x1, y1, z1), (x2, y2, z2), (x3, y3, z3),...;

[0019] Create a three-dimensional space, pick an initial coordinate in the three-dimensional space, and connect the coordinates to the initial coordinate based on time sequence among the stored location coordinates in the park to construct a three-dimensional model of the park land surface; Obtain the three-dimensional model of the park land surface, clean the three-dimensional model of the park land surface, perform a storage operation on the cleaned three-dimensional model of the park land surface, and mark relevant modeling information on the stored three-dimensional model of the park land surface; Continuously execute the construction of the three-dimensional model of the park land surface several times to obtain several three-dimensional models of the park land surface, analyze the similarity degree of each three-dimensional model of the park land surface, and evaluate the credibility weights of each three-dimensional model of the park land surface; Output the park land measurement result by synthesizing the similarity degree and credibility weights of each three-dimensional model of the park land surface.

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

[0021] Among them, users who perform the acquisition of the location coordinates in the park all carry acquisition devices.

[0022] Further, the location coordinates in the park connected to the initial coordinate are from the storage hard disk. In the stage of obtaining the location coordinates in the park, traverse each stored location coordinate in the park, and obtain the location coordinates in the park in the time sequence from early to late, perform the connection operation. After each connection is completed, the location coordinate used for the connection is used as the connection target for the next location coordinate in the connection.

[0023] Further, the three-dimensional model of the park land surface is composed of several line segments connected to each other to form several faces, and several faces are spliced together. The cleaning logic of the three-dimensional model of the park land surface is expressed as:

[0024] Traverse the three-dimensional model of the park land surface, capture the line segments in the three-dimensional model of the park land surface that are not connected to adjacent line segments to form a closed surface, and use the captured line segments as the deletion targets to perform the deletion operation;

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

[0026] Among them, after the three-dimensional model of the park land surface is completed, the park floor area and the park usable area are calculated based on the model synchronously. The park floor 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 usable area is the sum of the areas of all the faces formed by all the line segments in the three-dimensional model of the park land surface.

[0027] Furthermore, the balance degree of the position coordinates for constructing the three-dimensional model of the park land surface is as follows:

[0028]

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

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

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

[0032]

[0033] In the formula: S is the similarity degree of the three-dimensional models of the two park land surfaces; K is the number of intervals for dividing the voxel space according to geometric attributes; h 1,v 、h 2,v are the number of occupied voxels in the i-th interval of the voxel histogram of one three-dimensional model of the park land surface and the number of occupied voxels in the i-th interval of the voxel histogram of the other three-dimensional model of the park land surface;

[0034] Among them, the larger S is, the more similar the three-dimensional models of the two park land surfaces are. On the contrary, the less similar they are. Based on the above formula, the similarity degree limit between each three-dimensional model of the park land surface and the remaining three-dimensional models of the park land surfaces is calculated and summed. The three-dimensional model of the park land surface with the highest summation result is used as the first reference group for park land measurement, and the remaining three-dimensional models of the park land surface are used as the second reference group for park land measurement.

[0035] Furthermore, the target of the credibility weight evaluation is the second reference group for park land measurement. The credibility weights of the three-dimensional models of the park land surface in the second reference group for park land measurement are user-defined and obey:

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

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

[0038] The higher the degree of balance of the position coordinates for constructing the three-dimensional model of the park land area, the higher the corresponding credibility weight, and vice versa;

[0039] Among them, the sum of the credibility weights of the three-dimensional models of the park land areas in the second group of park land measurement references is 1.

[0040] Furthermore, the output logic of the park land measurement result is expressed as:

[0041]

[0042] In the formula: S is the occupied area or usable area of the park; ω1 and ω2 are weights; S1 is the occupied area or usable area of the three-dimensional model of the park land area in the first group of park land measurement references; p is the set of three-dimensional models of the park land areas in the second group of park land measurement references; S q is the occupied area or usable area of the park corresponding to the qth three-dimensional model of the park land area; ε q is the credibility weight corresponding to the qth three-dimensional model of the park land area;

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

[0044] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0045] The present invention provides a method for measuring the land of multi-source data of a handheld tablet device in an industrial park. During the execution of this method, with the handheld tablet device as the main body, through the methods of ranging and gyroscope sensing direction, relative coordinate continuous acquisition is performed at any position inside the park, so as to construct a three-dimensional model of the park land area based on the collected coordinates. This further simplifies the process of park land measurement, enables the land measurement work to be carried out more quickly after the park land coordinates are collected, and at the same time, during the application of this method, by repeating the coordinate collection method, the park land measurement result can be further refined. In addition, since the handheld tablet device is used as the main body, it can also realize the distributed and zonal acquisition of the park land coordinates, thereby further improving the efficiency of carrying out this type of work. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0047] Figure 1It is a schematic flowchart of a land measurement method for multi-source data of a handheld tablet device in an industrial park. Detailed implementation manners

[0048] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0049] The present invention will be further described below with reference to embodiments.

[0050] Embodiment:

[0051] A land measurement method for multi-source data of a handheld tablet device in an industrial park according to this embodiment, as Figure 1 shown, includes:

[0052] The user moves within the park with a collection device, and the collection device collects the position coordinates within the park in real time, and the collection device synchronously stores the collected position coordinates;

[0053] The collection device is a handheld tablet device. A mobile distance sensor, a gyroscope and a removable storage hard disk are installed inside the handheld tablet device. After the position coordinates within the park are collected, they are synchronously transmitted to the storage hard disk and stored in the storage hard disk;

[0054] Among them, at the beginning stage when the user moves within the park with the collection device, the collection device is synchronously powered on. During the power-on stage of the collection device, the initial coordinates are set as (x0, y0, z0). The distance sensor runs to sense the moving distance of the collection device in real time, and the gyroscope runs to sense the moving direction and angle in real time, and the collection device;

[0055] The mobile distance sensor, gyroscope and storage hard disk in the collection device continuously run based on the operation frequency customized by the user side. Each time the mobile distance sensor and gyroscope in the collection device run, they respectively collect a distance parameter, a direction parameter and an angle parameter. The storage hard disk runs accordingly, calculates the current coordinates based on the previously determined coordinates and stores them;

[0056] After each distance parameter, direction parameter and angle parameter are collected, they are synchronously transmitted to the storage hard disk and the operation is synchronously refreshed;

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

[0058]

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

[0060] Among them, based on the above logic, the current coordinates are continuously obtained as (x1, y1, z1), (x2, y2, z2), (x3, y3, z3),...;

[0061] Any number of coordinates among (x1, y1, z1), (x2, y2, z2), (x3, y3, z3),... are used as the initial coordinates to perform the acquisition of the location coordinates within the park;

[0062] Among them, users who perform the acquisition of the location coordinates within the park all carry acquisition devices;

[0063] Create a three-dimensional space, pick the initial coordinates in the three-dimensional space, and connect the coordinates obtained based on the time sequence with the initial coordinates among the stored location coordinates within the park to construct a three-dimensional model of the park land surface;

[0064] The location coordinates within the park connected to the initial coordinates are sourced from the storage hard disk. During the stage of obtaining the location coordinates within the park, traverse each stored location coordinate within the park, and obtain the location coordinates within the park in the time sequence from early to late, perform the connection operation. After each connection is completed, the location coordinate within the park applied to the connection is used as the connection target for the next location coordinate within the park during the connection;

[0065] The three-dimensional model of the park land surface is composed of several line segments connected to each other to form several faces, and several faces are spliced together. The cleaning logic of the three-dimensional model of the park land surface is expressed as:

[0066] Traverse the three-dimensional model of the park land surface, capture the line segments in the three-dimensional model of the park land surface that are not connected to adjacent line segments to form a closed surface, and use the captured line segments as the deletion targets to perform the deletion operation;

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

[0068] Among them, after the three-dimensional model of the park land surface is completed, the park floor area and the park usable area are calculated based on the model synchronously. The park floor 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 usable area is the sum of the areas of all the faces formed by all the line segments that make up the three-dimensional model of the park land surface;

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

[0070]

[0071] Where: U is the degree of balance of the position coordinates for constructing the three-dimensional model of the park land surface; m is the total amount of the position coordinates for constructing the three-dimensional model of the park land surface; d j,near is the distance between the j-th position coordinate and its adjacent coordinates; A is the floor area of the park;

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

[0073] Through the above logical formula, the calculation method of the degree of balance of the position coordinates for constructing the three-dimensional model of the park land surface is defined.

[0074] Obtain the three-dimensional model of the park land surface, clean the three-dimensional model of the park land surface, perform a storage operation on the cleaned three-dimensional model of the park land surface, and mark relevant modeling information on the stored three-dimensional model of the park land surface;

[0075] Continuously execute the construction of the three-dimensional model of the park land surface several times to obtain several three-dimensional models of the park land surface, analyze the similarity degree 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 analysis logic of the similarity degree of the three-dimensional model of the park land surface is expressed as:

[0077]

[0078] Where: S is the similarity degree between two three-dimensional models of the park land surface; K is the number of intervals obtained by dividing the voxel space according to geometric attributes; h 1,v 、h 2,v are the number of occupied voxels in the i-th interval of the voxel histogram of one three-dimensional model of the park land surface and the number of occupied voxels in the i-th interval of the voxel histogram of another three-dimensional model of the park land surface;

[0079] Through the above formula, a specific calculation logic is defined for calculating the similarity degree of the three-dimensional model of the park land surface, ensuring the stable output of the calculation result of the similarity degree of the three-dimensional model of the park land surface.

[0080] Among them, the larger S is, the more similar the two three-dimensional models of the park land surface are. On the contrary, the less similar they are. Based on the above formula, calculate the similarity degree limit between each three-dimensional model of the park land surface and the remaining three-dimensional models of the park land surface, and sum them up. Take the three-dimensional model of the park land surface with the highest summation result as the first reference group for park land measurement, and the remaining three-dimensional models of the park land surface as the second reference group for park land measurement;

[0081] The credibility weight evaluation target is the second group of reference models for park land measurement. The credibility weights of the 3D models of the park land areas in the second group of reference models for park land measurement are user-defined and follow:

[0082] The fewer the number of line segments deleted from the 3D model of the park land area, the higher the corresponding credibility weight, and vice versa;

[0083] The more the number of position coordinates used for constructing the 3D model of the park land area, the higher the corresponding credibility weight, and vice versa;

[0084] The higher the degree of balance of the position coordinates used for constructing the 3D model of the park land area, the higher the corresponding credibility weight, and vice versa;

[0085] Among them, the sum of the credibility weights of the 3D models of the park land areas in the second group of reference models for park land measurement is 1;

[0086] The park land measurement results are output by synthesizing the similarity degree and credibility weights of the 3D models of the park land areas;

[0087] The output logic of the park land measurement results is expressed as:

[0088]

[0089] In the formula: S is the occupied area or usable area of the park; ω1, ω2 are weights; S1 is the occupied area or usable area of the 3D model of the park land area in the first group of reference models for park land measurement; p is the set of 3D models of the park land areas in the second group of reference models for park land measurement; S q is the occupied area or usable area of the park corresponding to the qth 3D model of the park land area; ε q is the credibility weight corresponding to the qth 3D model of the park land area;

[0090] Through the calculation of the above logical formula, the calculation logic of the occupied area or usable area of the park is further provided and defined.

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

[0092] In this embodiment, by executing the method in the above embodiment, a technology with higher accuracy and the ability to independently integrate and output land measurement results is brought to park land measurement, effectively making up for the deficiencies of the prior art.

[0093] Regarding the further configuration and related design of the handheld tablet device:

[0094] ○ Hardware design:

[0095] ■ Processor: A high-performance and low-power processor is adopted to ensure that the device can quickly process a large number of data acquisition tasks. For example, the [specific model] processor is selected, which has [X] cores and a main frequency of up to [X] GHz, and can analyze and process the data collected by various sensors in a short time.

[0096] ■ Display screen: Equipped with a high-resolution and touchable display screen, which is convenient for operators to intuitively view and operate the data acquisition interface. The display screen size is [X] inches, the resolution reaches [X] × [X] pixels, and it has good viewing angles and color restoration.

[0097] ■ Storage module: A large-capacity storage module is built-in to store the collected data. A solid-state drive with a capacity of [specific capacity] GB can be used to ensure the safe storage of data, and at the same time support external storage expansion, such as expanding the storage capacity through an SD card slot.

[0098] ■ Communication module: Integrates multiple communication methods, including Wi-Fi, Bluetooth, 4G / 5G, etc., so as to transmit the collected data to the background management system in real time. Among them, the Wi-Fi module supports [specific standard], and the transmission speed can reach [X] Mbps; the 4G / 5G module can meet the requirements of high-speed and stable data transmission to ensure that the data is uploaded in time.

[0099] ■ Battery: A high-capacity lithium battery is adopted to provide lasting power support for the device. The battery capacity is [X] mAh, and combined with the low-power hardware design, it can ensure that the device works continuously for more than [X] hours.

[0100] ■ Sensor integration:

[0101] ● GPS / Beidou positioning module: Used to accurately obtain the geographical location information of the acquisition location, with an accuracy of up to [X] meters. Whether in the open area or the building-intensive area within the park, the location of the device can be accurately determined, providing accurate positioning support for land data acquisition.

[0102] ● Image acquisition module: Equipped with a high-pixel camera for taking images of enterprise logos, the appearance of park facilities, etc. The camera pixel is [X] million pixels, supports autofocus and multiple shooting modes, and can clearly capture the required image details.

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

[0104] ● IoT Data Acquisition Interface: It has various types of IoT data acquisition interfaces, such as RS485, RS232, Ethernet interfaces, etc., and can be connected to various IoT devices in the park to collect data on the operating status, energy consumption, etc. of the devices in real time.

[0105] ○ Software Design:

[0106] ■ Operating System: It is customized and developed based on [specific operating system name] to optimize system performance and make it more suitable for the data acquisition work scenario. The operating system has a simple and easy-to-use user interface, which is convenient for operators to get started quickly.

[0107] ■ Data Acquisition Software:

[0108] ● Data Acquisition Interface: A simple and intuitive data acquisition interface is designed. Operators can select the corresponding acquisition function modules according to different data acquisition tasks. For example, in the land data acquisition module, the land coordinates can be quickly obtained through the positioning function, and information such as land area and use can be input at the same time; in the enterprise data acquisition module, the basic information of the enterprise can be automatically obtained by scanning the enterprise QR code or NFC tag, and detailed information such as the enterprise's business status and number of employees can be manually entered; in the park facility data acquisition module, by connecting to the IoT data acquisition interface, the operating data of the facilities can be obtained in real time, and the appearance status of the facilities can be photographed and recorded.

[0109] ● Data Storage and Management: The collected data is automatically stored in the storage module of the device and classified and managed according to different categories and collection times. The data storage format adopts [specific format], which is convenient for subsequent data query and analysis. At the same time, the software has data backup and recovery functions, and important data can be backed up to external storage devices or the cloud to prevent data loss.

[0110] Data Transmission and Synchronization: The collected data is transmitted to the background management system in real time through the communication module of the device. During the transmission process, encryption technology is used to ensure the security and integrity of the data. At the same time, the software supports the data synchronization function. When the device is connected to the background management system, the locally updated data is automatically synchronized to the background to ensure data consistency.

[0111] In summary, during the execution of the method in the above embodiments, with a handheld tablet device as the main body, by means of distance measurement and gyroscope to sense the direction, relative coordinate continuous acquisition is performed at any position within the park, so as to construct a three-dimensional model of the park land surface based on the collected coordinates. In this way, the process of park land measurement is further simplified, and the land measurement work after the park land coordinates are collected can be carried out more quickly. At the same time, during the application of this method, by repeating the coordinate acquisition method, the park land measurement result can be further refined. In addition, since a handheld tablet device is used as the main body, it is also possible to realize the distributed and zonal acquisition of park land coordinates, thereby further improving the efficiency of carrying out such work.

[0112] 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 foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A land measurement method for industrial parks using multi-source data from handheld tablet devices, characterized in that: include: The user carries the collection device and moves around the park. The collection device collects the location coordinates in the park in real time, and the collection device stores the collected location coordinates synchronously; Create a three-dimensional space, pick up initial coordinates in the three-dimensional space, and connect the coordinates obtained based on the time series in the stored location coordinates in the park with the initial coordinates to build a three-dimensional model of the park land surface; Acquire the three-dimensional model of the park land surface, clean the three-dimensional model of the park land surface, store the cleaned three-dimensional model of the park land surface, and mark relevant modeling information on the stored three-dimensional model of the park land surface; Continuously executing the construction of the park land surface three-dimensional model several times to obtain several park land surface three-dimensional models, analyzing the similarity of each park land surface three-dimensional model, and evaluating the credibility weight of each park land surface three-dimensional model; The similarity and credibility weight of the three-dimensional land surface models of each park are comprehensively considered to output the park land measurement results.

2. The land measurement method of a handheld tablet device in an industrial park based on multi-source data according to claim 1 is characterized in that: The acquisition device is a handheld tablet device, which is internally installed with a moving distance sensor, a gyroscope and a removable storage hard disk. After the location coordinates in the park are acquired, they are synchronously transmitted to the storage hard disk and stored in the storage hard disk; Among them, when the user carries the collection device and moves in the park at the beginning, the collection device is turned on synchronously. During the startup phase of the collection device, the initial coordinates are set to (x0, y0, z0). The distance sensor runs to sense the moving distance of the collection device in real time, and the gyroscope runs to sense the moving direction and angle of the collection device in real time.

3. The land measurement method of a handheld tablet device with multi-source data in an industrial park according to claim 2 is characterized in that: The mobile distance sensor, gyroscope and storage hard disk in the acquisition device continuously operate based on the operation frequency customized by the user end. The mobile distance sensor and gyroscope in the acquisition device respectively collect a distance parameter, a direction parameter and an angle parameter each time they operate. The storage hard disk follows the operation and obtains and stores the current coordinates based on the coordinates determined last time. Each time the distance parameter, direction parameter, and angle parameter are collected, they are synchronously transmitted to the storage hard disk and refreshed synchronously; The logic for obtaining the current coordinates is expressed as: Where: (x1, y1, z1) is the current coordinate; d is the moving distance; β is the elevation angle; α is the azimuth angle; Among them, based on the above logic, the current coordinates are continuously calculated as (x1, y1, z1), (x2, y2, z2), (x3, y3, z3), ...

4. The land measurement method of a handheld tablet device with multi-source data in an industrial park according to claim 1 is characterized in that: Any number of coordinates among the (x1, y1, z1), (x2, y2, z2), (x3, y3, z3), ... are used as initial coordinates to collect the position coordinates in the park; Among them, users who perform location coordinate collection within the park all carry collection equipment.

5. The land measurement method of a handheld tablet device with multi-source data in an industrial park according to claim 1 is characterized in that: The in-park location coordinates connected to the initial coordinates are derived from the storage hard disk. In the stage of obtaining the in-park location coordinates, the in-park location coordinates stored are traversed, and the in-park location coordinates are obtained in sequence from early to late, and the connection operation is performed. After each connection is completed, the in-park location coordinate used for the connection is used as the connection target of the next in-park location coordinate when connecting.

6. The land measurement method of a handheld tablet device with multi-source data in an industrial park according to claim 1 is characterized in that: The three-dimensional model of the land surface of the park is composed of several lines connected to each other to obtain several faces, and several faces are spliced ​​together. The cleaning logic of the three-dimensional model of the land surface of the park is expressed as follows: Traversing the three-dimensional model of the park land surface, capturing line segments in the three-dimensional model of the park land surface that are not connected with adjacent line segments to form a closed surface, and performing a deletion operation using the captured line segments as deletion targets; The relevant modeling information of the park land surface three-dimensional model mark includes: the number of line segments deleted on the park land surface three-dimensional model, the number of position coordinates used to construct the park land surface three-dimensional model and the coordinate balance degree; Among them, after the three-dimensional model of the park's land surface is constructed, the park's land area and the park's usable area are calculated simultaneously based on the model. The park's land area is the area of ​​the closed figure 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 constituted by all line segments in the three-dimensional model of the park's land surface.

7. The land measurement method of a handheld tablet device with multi-source data in an industrial park according to claim 6 is characterized in that: The position coordinate balance degree used in constructing the three-dimensional model of the park land surface is: Where: U is the balance degree of the position coordinates used to construct the three-dimensional model of the park land surface; m is the total amount of position coordinates used to construct the three-dimensional model of the park land surface; d j,near is the distance between the jth position coordinate and its neighboring coordinates; A is the area of ​​the park; Among them, when U is close to 1, it means that the distribution of position coordinates used to construct the three-dimensional model of the park's land surface is balanced. When U is much larger than 1, it means that the distribution of position coordinates used to construct the three-dimensional model of the park's land surface is relatively sparse. When U is much smaller than 1, it means that the distribution of position coordinates used to construct the three-dimensional model of the park's land surface is relatively dense.

8. The land measurement method of a handheld tablet device in an industrial park according to claim 1 is characterized in that: The similarity analysis logic of the three-dimensional model of the park land surface is expressed as follows: Where: S is the similarity between the two park land surface 3D models; K is the number of intervals that the voxel space is divided into according to geometric attributes; h 1,v 、h 2,v is the number of occupied voxels in the ith interval of the voxel histogram of the three-dimensional model of the land surface of a park, and the number of occupied voxels in the ith interval of the voxel histogram of the three-dimensional model of the land surface of another park; Among them, the larger the S is, the more similar the two park land surface three-dimensional models are, and vice versa. Based on the above formula, the similarity limit of each park land surface three-dimensional model and the remaining park land surface three-dimensional models is calculated and summed up. The park land surface three-dimensional model with the highest sum result is used as the park land measurement reference group one, and the remaining park land surface three-dimensional models are used as the park land measurement reference group two.

9. The land measurement method of a handheld tablet device with multi-source data in an industrial park according to claim 1 is characterized in that: The credibility weight evaluation target is the park land measurement reference group 2. The credibility weight of each park land surface three-dimensional model in the park land measurement reference group 2 is customized by the user end and complies with: The fewer the number of line segments deleted on the three-dimensional model of the park land surface, the higher the corresponding credibility weight, and vice versa; The more position coordinates are used to construct the three-dimensional model of the park land surface, the higher the corresponding credibility weight is, and vice versa; The higher the degree of balance of the position coordinates used in constructing the three-dimensional model of the park's land surface, the higher the corresponding credibility weight, and vice versa; Among them, the sum of the credibility weights of the three-dimensional models of the land surfaces of each park in the park land measurement reference group 2 is 1.

10. The land measurement method of a handheld tablet device in an industrial park according to claim 1, characterized in that: The output logic of the park land calculation result is expressed as: Where: S is the area or use area of ​​the park; ω1 and ω2 are weights; S1 is the area or use area of ​​the park in the three-dimensional land surface model of the park in the park land measurement reference group 1; p is the set of three-dimensional land surface models of each park in the park land measurement reference group 2; S q is the park area or usable 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; Among them, ω1>ω2, and the sum of the two is 1, and ω2 is initially set to 0.1.

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