Geographic remote sensing investigation method and system based on adaptive template control

Abstract

The invention belongs to the field of geographic remote sensing data processing, and particularly relates to a geographic remote sensing investigation method and system based on self-adaptive template control. The method comprises the following steps: determining a user-defined template data structure according to an investigation demand of a task to be investigated; the user-defined template data structure comprises an investigation template, investigation pattern spots and pattern spot attributes, the investigation template is used for storing attribute information of all tasks to be investigated, the investigation pattern spots are used for storing space coordinate positions of all the tasks to be investigated, and the pattern spot attributes are used for storing investigation results of all the tasks to be investigated; according to the space coordinate position of the to-be-investigated task, distributing the to-be-investigated task to a user side; the user side executes the to-be-investigated task and acquires an investigation result based on attribute information of the to-be-investigated task; the survey result is multi-modal data information. The problems that various geographical remote sensing survey requirements are different, and the workload is large when different survey tasks are configured can be solved.

Description

Technical Field

[0001] The invention belongs to the field of geographic remote sensing data processing, and in particular relates to a geographic remote sensing survey method and system based on adaptive template control. Background Art

[0002] With the development of social economy, the country's demand for investigation and monitoring of various natural resources is growing. All regions have strengthened the research on geographical remote sensing survey methods and accelerated the automation and informatization of geographical remote sensing surveys. At present, geographical remote sensing surveys generally use traditional paper survey methods. During field surveys, investigators record the attributes of the survey objects by manually drawing sketches and filling out paper survey forms. After the field survey is completed, the paper records are re-entered into the internal software for internal processing and editing, and finally the survey results are formed. The main disadvantages of this survey method are: low efficiency of paper survey operations, high labor costs, difficulty in ensuring data accuracy, lack of unified and effective information management in the survey process; complicated internal work, large workload and prone to errors; there is a lag in the exchange of information between internal and external fields, which cannot be synchronized in real time, and cannot be coordinated in time when problematic data occurs. When the data is wrong, the cost of supplementary survey is high. Therefore, the traditional paper survey method can no longer meet the current large-scale geographical survey needs.

[0003] In order to improve the efficiency and accuracy of the survey, some new survey technologies have been gradually introduced in recent years, such as portable device information collection technology and high-precision network positioning technology. By embedding survey templates in portable devices such as mobile terminals in advance and conducting field online surveys, the recording efficiency of investigators can be improved, and verification rules such as field type and length can be set to avoid collecting erroneous data to a certain extent. After the field survey is completed, the data of the survey equipment is imported into the internal software for further processing. This survey method uses information technology to improve the survey efficiency and data accuracy and reduce the cost of manual work, but this method requires code development based on mobile acquisition devices and embedded survey templates; however, in actual surveys, the requirements of geographical remote sensing surveys of different types, levels, and times are often different, and there are obvious differences in survey templates. Different survey templates need to be customized and developed in different survey operations, which have the disadvantages of repeated development, long development time, and low flexibility, and cannot meet the needs of emergency surveys or scenarios where survey requirements change frequently. Moreover, this method still cannot solve the problem of lag in information exchange between internal and external fields, and cannot achieve collaborative work. Summary of the invention

[0004] In order to solve the problems of different requirements for various types of geographical remote sensing surveys, large workloads for different configuration survey tasks, etc., the purpose of the present invention is to propose a geographical remote sensing survey method and system based on adaptive template control. The present invention is based on the Android system, uses mobile 3S technology, and combines the GPS receiver, gyroscope, camera and other devices provided by mobile smart phones to develop a survey template configuration and field survey method and system suitable for geographical remote sensing survey projects.

[0005] In a first aspect of the present invention, the present invention proposes a geographical remote sensing survey method based on adaptive template control, the method comprising:

[0006] According to the survey requirements of the tasks to be surveyed, a custom template data structure is determined; the custom template data structure includes a survey template, a survey spot and spot attributes, the survey template is used to store the attribute information of all the tasks to be surveyed, the survey spot is used to store the spatial coordinate positions of all the tasks to be surveyed, and the spot attributes are used to store the survey results of all the tasks to be surveyed;

[0007] Allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated;

[0008] The user terminal executes the task to be investigated, and obtains a survey result based on the attribute information of the task to be investigated; the survey result is multimodal data information; the multimodal data information includes text data, image data, video data, audio data, azimuth angle, pitch angle and real-time position information.

[0009] In a second aspect of the present invention, the present invention further provides a geographical remote sensing survey system based on adaptive template control, the system comprising:

[0010] A preset module is used to determine a custom template data structure according to the survey requirements of the tasks to be surveyed; the custom template data structure includes a survey template, a survey spot and a spot attribute, the survey template is used to store the attribute information of all the tasks to be surveyed, the survey spot is used to store the spatial coordinate positions of all the tasks to be surveyed, and the spot attribute is used to store the survey results of all the tasks to be surveyed;

[0011] An allocation module, used for allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated;

[0012] The collection module is used to call the user terminal to execute the task to be investigated, and obtain the investigation result based on the attribute information of the task to be investigated; the investigation result is multimodal data information; the multimodal data information includes text data, image data, video data, audio data, azimuth angle, pitch angle and real-time position information.

[0013] Beneficial effects of the present invention:

[0014] The present invention solves the problem of poor flexibility of customized survey templates through customized geographic remote sensing survey template technology, and can quickly and conveniently respond to the needs of various geographic remote sensing survey tasks; through map-based free survey task assignment technology, it solves the problem of low survey efficiency of the traditional fixed grid allocation mode, and improves the efficiency and rationality of task assignment; through the adaptive acquisition and storage technology of position information, it solves the problems of large position data errors caused by low positioning accuracy and easy data loss caused by poor network signals, and can stably acquire and store high-precision position information; through the automated review technology of survey results, it solves the problems of high cost, long review cycle and uneven review quality of traditional manual review, meets the efficient review needs of field survey data, and ensures the accuracy and timeliness of survey data. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of a geographic remote sensing survey method based on adaptive template control according to an embodiment of the present invention;

[0016] Figure 2 is a schematic diagram of a custom template data structure according to an embodiment of the present invention;

[0017] Figure 3 It is a schematic diagram of custom template editing and configuration content according to an embodiment of the present invention;

[0018] Figure 4 is a flowchart of free allocation of survey tasks based on a map according to an embodiment of the present invention;

[0019] Figure 5 is a flow chart of adaptive acquisition and storage of location information according to an embodiment of the present invention;

[0020] Figure 6 is a flowchart of automatic review of survey results according to an embodiment of the present invention;

[0021] Figure 7 It is a structural diagram of a geographic remote sensing survey system based on adaptive template control according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Based on the problems mentioned in the background technology, the embodiment of the present invention proposes a geographic remote sensing survey method and system based on adaptive template control, which makes full use of modern measurement, information network, space detection and other technical means, and responds to the needs of various geographic remote sensing survey tasks flexibly, quickly and conveniently through customized geographic remote sensing survey templates, so as to meet the management of massive field survey data. In addition, it also supports the free assignment of survey tasks based on maps to improve the efficiency and rationality of task assignment. The authenticity and accuracy of information acquisition can also be guaranteed through the adaptive acquisition and storage method of location information. Finally, an automated review process for survey results is established to further improve the quality and review efficiency of geographic remote sensing survey data and ensure the accuracy and timeliness of survey data.

[0024] Figure 1 is a flow chart of a geographic remote sensing survey method based on adaptive template control according to an embodiment of the present invention; Figure 1 As shown, the method includes:

[0025] 101. Determine a custom template data structure according to the survey requirements of the tasks to be surveyed; the custom template data structure includes a survey template, a survey spot and spot attributes, the survey template is used to store attribute information of all the tasks to be surveyed, the survey spot is used to store the spatial coordinate positions of all the tasks to be surveyed, and the spot attributes are used to store the survey results of all the tasks to be surveyed;

[0026] In the embodiment of the present invention, considering the differences in requirements for different types of geographical remote sensing surveys, in order to meet the needs of different geographical remote sensing task surveys, the embodiment of the present invention adopts a geographical remote sensing survey method based on a custom template, which can be reused for different types of geographical remote sensing survey tasks. The custom template data structure and creation process are as follows:

[0027] In the embodiment of the present invention, the custom template data structure adopts a column storage structure to store and manage the custom template, such as Figure 2 As shown, the custom template data structure is divided into a survey template D template 、Survey map D patch , Spot attribute D info Three parts:

[0028] 1) Survey Template D template

[0029] Before the user performs a field survey task, the survey template in the custom template data structure can be configured according to the survey requirements of the task to be surveyed. The survey template is used to store the attribute information of the task to be surveyed, including the field name (FieldName), field alias (FieldAlias), field type (FieldType), modification configuration (IsEdit), display configuration (IsShow), required configuration (NotNull), split configuration (IsSplit), and option configuration (IsOption). Survey template D template Use the survey template ID (D template_ID ) and attribute ID (D info_ID ) as a unique identifier.

[0030] 2) Survey plot D patch

[0031] Before the field survey begins, the survey area must be drawn in advance by the staff in the office. The survey area is used to store the spatial coordinate information (Lon, Lat) of all the areas that need to be surveyed. The spatial coordinate information of the area can be corner point information. Corner points are points with special geometric features on the boundary of the area, usually the intersection of two or more boundary lines. Corner point information, as a kind of spatial coordinate information, can effectively and concisely define the shape and position of the area. Use the survey area ID (D patch_ID ) as the unique identifier of each patch;

[0032] 3) Spot attribute D info

[0033] Before the field survey begins, the staff in the office must edit the attribute information of the survey plot in advance. The survey attribute information is used to store all survey results, that is, field values ​​(FieldValue). patch_ID ) and attribute ID (D info_ID ) as a unique identifier.

[0034] The above three types of data are stored in the template ID (D patch_ID )、Blob ID(D patch_ID )、Attribute ID(D info_ID ) are correlated with each other.

[0035] In some preferred embodiments, the custom template data structure can meet the needs of custom expansion of the survey template, store spatial data and attribute data separately, and improve the efficiency of data storage and processing.

[0036] In the embodiment of the present invention, Figure 3As shown, the creation process of the custom template structure data may include: first fill in the basic information of the custom template, including template name, creation date, template validity period, template icon, etc. Then import the GDB data of the project to be investigated, and parse the GDB data field name as the field name FieldName of the template. After FieldName is created, the template is edited and configured in detail. The editable and configurable contents are as follows:

[0037] 1) Field Name (FieldName): The initial value of FieldName is obtained by parsing the GDB data field name. If FieldName is not empty, it can be modified and edited;

[0038] 2) Field Alias: Configure whether the FieldAlias ​​value can be empty. If it cannot be empty, you need to enter the FieldAlias ​​value;

[0039] 3) Field Type: Configure whether the FieldType value is allowed to be modified, and enter the FieldAlias ​​value;

[0040] 4) Modify configuration (IsEdit): Configure whether the current field value is allowed to be modified on the mobile terminal, and whether the current field value is allowed to be modified on the desktop terminal;

[0041] 5) Display configuration (IsShow): Configure whether the current field value is allowed to be displayed on the mobile terminal, and whether the current field value is allowed to be displayed on the desktop terminal;

[0042] 6) Required configuration (NotNull): Configure whether the current field value is allowed to be empty on the mobile terminal, and configure whether the current field value is allowed to be empty on the desktop terminal;

[0043] 7) Split configuration (IsSplit): configure whether the current field is allowed to be split into multiple subfields; if allowed, the subfield information needs to be configured;

[0044] 8) Option configuration (IsOption): Configure whether the current field is displayed as an option box; if so, you need to configure the field enumeration value.

[0045] In the embodiment of the present invention, the above configuration process may be executed by the user terminal participating in the investigation task, or by other user terminals, or by the management terminal, or even by the server terminal; the present invention does not limit this.

[0046] 102. Allocate the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated;

[0047] In an embodiment of the present invention, after the survey template in the custom template data structure is determined and configured, the survey task can be assigned, and the survey work can be carried out through the user end. The traditional survey task assignment mode generally uses administrative divisions or management grids to assign tasks. This assignment method inevitably has the problem of "assigning distant spots to the same person" or "assigning spots with similar distances to multiple people for verification." To solve this problem, the embodiment of the present invention adopts a map-based survey task free assignment mode. The management end or the user end can intuitively see the spatial locations of all tasks to be investigated on the map, freely draw the task assignment range on the map, and through point-surface spatial analysis, assign the spots within the range in batches to the designated user end, thereby improving the efficiency and rationality of the assignment of tasks to be investigated.

[0048] In some embodiments of the present invention, allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated includes:

[0049] According to the preset rules, the dispatch range of each user terminal and the extreme coordinate position corresponding to the dispatch range are determined; for example, considering the limited battery life of the user terminal device, the preset rules may stipulate that when the remaining power of the device is insufficient to complete a specific survey task, it should not be assigned to a task beyond its effective working range. For another example, if the moving distance of a user terminal is 2km, the preset rules may set the service range of this user terminal to a circular area with a radius of 2km centered on the current location.

[0050] Traversing the spatial coordinate positions of all tasks to be investigated, and when the spatial coordinate position of the task to be investigated is within the extreme value coordinate position corresponding to the target client allocation range, selecting the task to be investigated;

[0051] The spatial coordinate position of the task to be investigated may refer to corner point information, and the accurate spatial coordinate position is obtained by calculating the corner point information; it may also refer to the real spatial coordinate position of the task to be investigated, which is not specifically limited in this embodiment.

[0052] Adding the selected task to be investigated to a list to be assigned until the spatial coordinate positions of all tasks to be investigated are traversed;

[0053] All pending investigation tasks in the pending assignment list are assigned to the target user end.

[0054] In order to better illustrate the above task allocation process, in some embodiments of the present invention, Figure 4 As shown, the specific process is as follows:

[0055] (1) Task Assignment Scope Drawing

[0056] When starting the free assignment of survey tasks based on the map, you first need to draw the task assignment range on the map. draw ={(row1,col1),(row2,col2)...(row n ,col n )}. (rown,coln) represents the screen coordinates of the drawing range surface, (X geo_n , Y geo_n ) is the geographic coordinate corresponding to the screen coordinate, and the coordinate transformation between the two is performed according to the following formula:

[0057]

[0058] In the formula, (Screen left ,Screen top ) is the geographic coordinate of the upper left corner of the screen, levelLength is the geographic length of the current map tile, and tileSize is the screen pixel corresponding to a tile. Calculate the extreme value coordinate X of the distribution range of the task to be investigated geo_min ,X geo_max ,Y geo_min ,Y geo_max :

[0059]

[0060] (2) Calculate the coordinates of the center point of the task patch

[0061] Traversing the task map P task = {P1,P2...P m}(m≥1), for the convenience of explanation, the coordinates of the center point (X center_m , Y center_m ).

[0062] (3) Spatial analysis of task patches

[0063] The calculated coordinates of the center point of the task map and the extreme coordinates of the distribution range of the task to be investigated are spatially analyzed. When the following constraints are met, the map is considered to be selected:

[0064]

[0065] If it is not satisfied, it is considered that the spot is not selected. After the judgment is completed, m=m+1 is set to traverse the next spot.

[0066] (4) Specify the client

[0067] Finally, the selected map spots are uniformly assigned to the designated user terminals to complete the free assignment of map-based survey tasks.

[0068] 103. The user terminal executes the task to be investigated, and obtains the investigation result based on the attribute information of the task to be investigated; the investigation result is multimodal data information; the multimodal data information includes text data, image data, video data, audio data, azimuth, pitch angle and real-time location information. In the embodiment of the present invention, after the task to be investigated is assigned, the user terminal conducts the investigation through various collection devices. The investigation information collection includes multimodal data information such as text information collection and multimedia information collection.

[0069] (1) Text information collection

[0070] Fill in the fields in sequence according to the requirements of the fields configured in the custom geographic remote sensing survey template; after filling in, package the text information into a text set Text and upload it to the server for storage and management.

[0071] (2) Multimedia Information Collection

[0072] Multimedia information collection supports the collection of photos, videos and audios at the investigation site. When collecting photos, the gyroscope can be used to simultaneously obtain two parameter information: azimuth angle Angel and pitch angle Pitch.

[0073] In a preferred embodiment of the present invention, when performing field surveys on the user side, in addition to collecting text information and multimedia information, it is often necessary to obtain real-time location information of the survey, which can be used to determine the authenticity and accuracy of the field survey results. However, the external environment will affect the GPS positioning signal and network accuracy. Houses, forests, valleys, etc. will hinder and interfere with the transmission of signals. In order to ensure the accuracy of the acquired GPS location information and avoid the adverse effects of dirty data on the overall data, an adaptive acquisition mechanism for location information is established; at the same time, in order to completely save the acquired location information and prevent data loss, an adaptive storage mechanism for location information is established.

[0074] In the embodiment of the present invention, the user terminal executes the task to be investigated, and obtains the investigation result based on the attribute information of the task to be investigated, and the collection method of the real-time location information includes:

[0075] If the number of satellites and the satellite carrier noise density at the current moment meet their respective minimum thresholds, the position information at the current moment is obtained;

[0076] If the mobile network signal strength of the user terminal at the current moment is less than the preset threshold, the location information at the current moment is stored locally on the user terminal;

[0077] If the mobile network signal strength of the user terminal at the current moment is greater than or equal to the preset threshold, the location information at the current moment is uploaded to the server.

[0078] Among them, if the mobile network signal strength of the user terminal at the current moment is greater than or equal to the preset threshold, it is determined whether the user terminal has location information of historical moments stored locally. If the location information of historical moments is stored, the location information of the historical moments is uploaded to the server.

[0079] In a preferred embodiment of the present invention, Figure 5 As shown, the specific process of real-time location information is as follows:

[0080] (1) Continuous positioning timer setting

[0081] To ensure the real-time acquisition of location information, a timer T is set. n Perform continuous positioning. Assume that the time interval Δt is set to 5000 milliseconds. When the timer is started for the first time, n=0, and single-point positioning is performed at time T0. The subsequent timer initiates a positioning request every Δt interval. The timer model is set as follows:

[0082]

[0083] (2) Adaptive acquisition of location information

[0084] The GPS signal strength is determined by the number of satellites the device searches for and the satellite carrier noise density, so it can be compared to T n The number of satellites at a given moment and the satellite carrier noise density can be used to dynamically obtain location information under different GPS signal strengths. The specific process is as follows:

[0085] First, obtain T n Time location information L n , and obtain T n The number of satellites that the mobile phone searches for at this moment C n and the satellite carrier noise density D n . Set the minimum threshold of satellite number C min =4, the satellite carrier noise density D min If the following conditions are met, the current location information L is obtained. n , and n=n+1:

[0086]

[0087] If the above conditions are not met, the location information L will not be obtained. n , and reset the timer.

[0088] (3) Adaptive storage of location information

[0089] Determine whether to upload the location information to the server or save it offline locally according to the strength of the network signal, so as to realize the dynamic storage of location information under different network signal strengths. The specific process is as follows:

[0090] First, while obtaining the location information L n at time T n , obtain the mobile network signal strength S n of the current user terminal at the same time, with the unit of dBm (decibel milliwatt). For example, set the lowest threshold S min of the signal strength to -80. Through the comparison between S n and the lowest threshold S min of the signal strength, perform adaptive storage of the location information:

[0091] 1) When S n < S min , it is considered that the network signal at time T n is poor, and there may be data loss when communicating with the server. At this time, save the L n data offline locally;

[0092] 2) When S n ≥ S min , it is considered that the network signal at time T n is good, and upload the L n data to the server;

[0093] 3) When S n ≥ S min , judge whether the offline coordinates L m (1 ≤ m < n) are stored locally. If so, upload the L m together to the server;

[0094] 4) After completing one storage, wait for the next location information storage according to the time set by the timer.

[0095] In the preferred embodiment of the present invention, when the user terminal completes the survey, submit the survey results for review. The traditional manual review method has problems such as high labor cost, long review cycle, and uneven review quality. To solve the above problems, the present invention adopts automated review for the survey results. By setting review factors in multiple dimensions of text and space, establish a review judgment set for the survey results, perform automated scoring on the survey results, and judge the authenticity and standardization of the survey results. The data with low scores has low reliability and can be rejected for re-survey. The data with high scores has high standardization and can flow into manual review to finally determine whether to enter the result library. The automated review technology can quickly process a large amount of review data, save labor costs, improve work efficiency, and improve data quality.

[0096] Exemplarily, the following process may be used to review and screen the investigation results of the tasks to be investigated:

[0097] Conducting integrity review on the survey results based on whether the field type and field length in the attribute information of the task to be surveyed meet specified requirements;

[0098] Based on whether the data information in the attribute information of the task to be investigated is within a specified range, the correctness of the investigation result is reviewed;

[0099] Conducting a normative review of the survey results based on whether the data information in the attribute information of the task to be investigated meets the matching requirements;

[0100] Conducting authenticity review on the survey result based on whether the location information in the attribute information of the task to be surveyed is consistent with the spatial location coordinates of the task to be surveyed;

[0101] Based on the results of the category-by-category review of the survey results, a score for the survey results is obtained;

[0102] If the score of the survey result is lower than the passing score, the user terminal is instructed to execute the task to be surveyed, and the survey result is obtained based on the attribute information collection of the task to be surveyed.

[0103] In a preferred embodiment of the present invention, Figure 6 As shown, the following process can also be used to review and screen the investigation results of the tasks to be investigated:

[0104] (1) Establishment of audit factor set

[0105] According to the field survey content, audit factors are selected and factor set U is established, namely:

[0106] U=(u1,u2,",u m )

[0107] Where: (u1,u2,",u m ) is the m factor value involved in the evaluation, and the four indicators of completeness, correctness, standardization and authenticity are selected to establish the audit factor set. The specific explanation of each indicator is as follows:

[0108] 1) Integrity factor: Integrity check is performed based on the field type and field length of the data. For example, the field standard requires that the data must be numeric and have a length of 1. If this rule is met, the data is considered to meet the integrity standard and the integrity factor score is u1 = 1; if this rule is not met, the data is considered to not meet the integrity standard and the integrity factor score is not u1 = 0;

[0109] 2) Correctness factor: Check whether the value of a data column is within the specified range. For example, whether the value of the month column is within the range of 1 to 12. If this rule is met, the data is considered to meet the correctness standard, u2 = 1; if this rule is not met, the data is considered to not meet the correctness standard, u2 = 0;

[0110] 3) Normative factors: Set a "regular expression" matching judgment for the data column. For example, the data in the name column should not contain special characters, and a matching judgment can be made by defining a regular expression of "not containing special characters". If this rule is met, the data is considered to meet the normative standards, u3 = 1; if this rule is not met, the sample data is considered to not meet the normative standards, u3 = 0;

[0111] 4) Authenticity factor: Based on the survey location information L n and the center point of the task patch (X center_m , Y center_m ) distance to conduct authenticity check. For example, the center point of the task patch (X center_m , Y center_m ) and the survey location L at that time n When the distance exceeds 500m, the survey results are considered untrue. If this rule is met, the data is considered not to meet the authenticity standard, u4=0; if this rule is not met, the sample data is considered to meet the authenticity standard, u4=1.

[0112] (2) Establishment of factor weight set

[0113] The factor weight set V is the weight setting of the evaluation factors in U, defining n evaluation levels. It is usually expressed as:

[0114] V=(v1,v2,",v n )

[0115] According to the actual application effects of each factor in U, the influence weights are set to V = (0.11, 0.48, 0.14, 0.27) according to empirical values.

[0116] (3) Automated scoring of survey results

[0117] By reviewing the factor set U and the factor weight set V, the survey results are automatically scored, and the score Score = u1v1 + u2v2 + u3v3 + u4v4 is obtained. Data with a score ≤ 0.7 is considered unqualified and can be rejected for re-survey; data with a score > 0.7 is considered qualified and can be manually reviewed to determine whether it will be included in the survey results database.

[0118] Figure 7Schematic diagram of the structure of a geographic remote sensing survey system based on adaptive template control according to an embodiment of the present invention. Figure 7 As shown, the survey system comprises:

[0119] A preset module is used to determine a custom template data structure according to the survey requirements of the tasks to be surveyed; the custom template data structure includes a survey template, a survey spot and a spot attribute, the survey template is used to store the attribute information of all the tasks to be surveyed, the survey spot is used to store the spatial coordinate positions of all the tasks to be surveyed, and the spot attribute is used to store the survey results of all the tasks to be surveyed;

[0120] An allocation module, used for allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated;

[0121] The collection module is used to call the user terminal to execute the task to be investigated, and obtain the investigation result based on the attribute information of the task to be investigated; the investigation result is multimodal data information; the multimodal data information includes text data, image data, video data, audio data, azimuth angle, pitch angle and real-time position information.

[0122] In the embodiment of the present invention, the acquisition module includes a text input device, an image input device, a video input device, an audio input device, a gyroscope and a GPS receiver. The user terminal can carry the acquisition module to obtain the survey result of the task to be surveyed.

[0123] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, which can include: ROM, RAM, disk or CD, etc.

[0124] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A geographic remote sensing survey method based on adaptive template control, characterized in that: The method comprises: According to the survey requirements of the tasks to be surveyed, a custom template data structure is determined; the custom template data structure includes a survey template, a survey spot and spot attributes, the survey template is used to store the attribute information of all the tasks to be surveyed, the survey spot is used to store the spatial coordinate positions of all the tasks to be surveyed, and the spot attributes are used to store the survey results of all the tasks to be surveyed; Allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated; The user terminal executes the task to be investigated, and obtains a survey result based on the attribute information of the task to be investigated; the survey result is multimodal data information; the multimodal data information includes text data, image data, video data, audio data, azimuth angle, pitch angle and real-time position information.

2. A geographic remote sensing survey method based on adaptive template control according to claim 1, characterized in that: The survey template uses the survey template ID and the spot attribute ID as a unique identifier; the survey spot uses the survey spot ID as a unique identifier; and the spot attribute uses the survey spot ID and the spot attribute ID as a unique identifier.

3. A geographic remote sensing survey method based on adaptive template control according to claim 1, characterized in that: The allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated comprises: According to a preset rule, determining the dispatch range of each user terminal and the extreme value coordinate position corresponding to the dispatch range; Traversing the spatial coordinate positions of all tasks to be investigated, and when the spatial coordinate position of the task to be investigated is within the extreme value coordinate position corresponding to the target client allocation range, selecting the task to be investigated; Adding the selected task to be investigated to a list to be assigned until the spatial coordinate positions of all tasks to be investigated are traversed; All pending investigation tasks in the pending assignment list are assigned to the target user end.

4. A geographic remote sensing survey method based on adaptive template control according to claim 1, characterized in that: The user terminal executes the task to be investigated, and obtains the investigation result based on the attribute information of the task to be investigated. The collection method of the real-time location information includes: If the number of satellites and the satellite carrier noise density at the current moment meet their respective minimum thresholds, the position information at the current moment is obtained; If the mobile network signal strength of the user terminal at the current moment is less than the preset threshold, the location information at the current moment is stored locally on the user terminal; If the mobile network signal strength of the user terminal at the current moment is greater than or equal to the preset threshold, the location information at the current moment is uploaded to the server.

5. A geographic remote sensing survey method based on adaptive template control according to claim 4, characterized in that: After the user terminal executes the task to be investigated and obtains the investigation result based on the attribute information of the task to be investigated, the method further includes: If the mobile network signal strength of the user terminal at the current moment is greater than or equal to the preset threshold, it is determined whether the user terminal has location information of historical moments stored locally. If the location information of historical moments is stored, the location information of the historical moments is uploaded to the server.

6. A geographic remote sensing survey method based on adaptive template control according to claim 1, characterized in that: After the user terminal executes the task to be investigated and obtains the investigation result based on the attribute information of the task to be investigated, the method further includes: Conducting integrity review on the survey results based on whether the field type and field length in the attribute information of the task to be surveyed meet specified requirements; Based on whether the data information in the attribute information of the task to be investigated is within a specified range, the correctness of the investigation result is reviewed; Conducting a normative review of the survey results based on whether the data information in the attribute information of the task to be investigated meets the matching requirements; Conducting authenticity review on the survey result based on whether the location information in the attribute information of the task to be surveyed is consistent with the spatial location coordinates of the task to be surveyed; Based on the results of the category-by-category review of the survey results, a score for the survey results is obtained; If the score of the survey result is lower than the passing score, the user terminal is instructed to execute the task to be surveyed, and the survey result is obtained based on the attribute information collection of the task to be surveyed.

7. A geographic remote sensing survey method based on adaptive template control according to claim 6, characterized in that: The results of the category-by-category review based on the survey results to obtain the scores of the survey results include: Determine the evaluation level and evaluation weight for each type of review method; The score of each type of review method is determined based on the product of the evaluation level and the evaluation weight of each type of review method; The score of the survey result is obtained by summing up the scores of all review methods of the survey result.

8. A geographical remote sensing survey system based on adaptive template control, characterized in that: The system comprises: A preset module is used to determine a custom template data structure according to the survey requirements of the tasks to be surveyed; the custom template data structure includes a survey template, a survey spot and a spot attribute, the survey template is used to store the attribute information of all the tasks to be surveyed, the survey spot is used to store the spatial coordinate positions of all the tasks to be surveyed, and the spot attribute is used to store the survey results of all the tasks to be surveyed; An allocation module, used for allocating the task to be investigated to the user terminal according to the spatial coordinate position of the task to be investigated; The collection module is used to call the user terminal to execute the task to be investigated, and obtain the investigation result based on the attribute information of the task to be investigated; the investigation result is multimodal data information; the multimodal data information includes text data, image data, video data, audio data, azimuth angle, pitch angle and real-time position information.

9. A geographic remote sensing survey system based on adaptive template control according to claim 8, characterized in that: The acquisition module includes a text input device, an image input device, a video input device, an audio input device, a gyroscope and a GPS receiver.

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