Engineering geological data management method and system under mapping architecture

Abstract

The invention relates to the technical field of project management, and particularly discloses an engineering geological data management method and system under a mapping architecture, and the method comprises the steps: receiving a region boundary inputted by a manager, obtaining a region map of the region boundary, and creating geological collection points according to the region map; acquiring different types of geological data based on the geological acquisition points, creating data layers by taking the types as labels, and constructing a management layer library; receiving a project management demand input by a user, positioning a data layer in the management layer library according to the project management demand, and generating and displaying a project reference drawing; according to the method, different types of geological data are converted into layers to be stored, when the data need to be inquired, the corresponding layers are positioned, the corresponding content is extracted and converted into the display parameters, the geological drawings can be obtained, the data are managed based on the map, the intuition degree is extremely high, the reading difficulty is very low, and the efficiency is high. The method is used for assisting managers in managing geological related projects.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to an engineering geological data management method and system under a mapping framework. Background Art

[0002] With the rapid development of projects such as geological engineering, mineral resource development, and urban underground space planning, higher requirements have been placed on the refined collection and intelligent management of geological data. Traditional geological data collection and management methods often rely on manual operations, isolated data storage, and lack unified scheduling and dynamic analysis mechanisms, making it difficult to support real-time control of geological information and task planning in complex engineering projects. In particular, in actual management activities such as project site deployment, risk assessment, and resource allocation, it is often necessary to structure and integrate different types of geological information.

[0003] However, the existing technology generally lacks a comprehensive information processing solution that can closely integrate geological acquisition, layer management and engineering decision-making. Therefore, how to provide a layered geological information management method for geological engineering management scenarios to achieve engineering task management, project decision support and risk visualization assessment needs is the technical problem that the technical solution of the present invention wants to solve. Summary of the Invention

[0004] The purpose of the present invention is to provide an engineering geological data management method and system under a mapping framework to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for managing engineering geological data under a mapping framework, the method comprising: Receive the regional boundaries input by the management personnel, obtain the regional map of the regional boundaries, and create geological collection points based on the regional map; Obtain different types of geological data based on geological collection points, create data layers with types as labels, and build a management layer library; Receive project management requirements input by users, locate data layers in the management layer library according to project management requirements, and generate and display project reference drawings; Evaluate historical management decisions against project reference drawings and generate evaluation reports.

[0006] As a further solution of the present invention, the steps of receiving the regional boundary input by the manager, obtaining a regional map of the regional boundary, and creating geological collection points according to the regional map include: Receive the collection density input by the management personnel, determine the grid unit length according to the collection density, and construct the grid; Receive the area boundary input by the manager, obtain the area map of the area boundary, insert the grid into the area map, and use the grid nodes as collection points; Obtain the passage records in the geological area and insert the passage tracks into the regional map according to the passage records; Adjust the location of the collection point based on the passage trajectory.

[0007] As a further solution of the present invention, the steps of acquiring different types of geological data based on geological acquisition points, creating data layers with types as labels, and constructing a management layer library include: For any type of geological data, the system broadcasts data collection instructions regularly and receives the collected data acquired and wirelessly uploaded by all collection points as broadcast response data; Determine the incremental collection quantity, randomly select the collection quantity collection points from the collection points, and obtain the collection data locally and in real time based on the selected collection points; Determine a data collection trajectory based on the selected collection points, and read local collection data at the selected collection points along the data collection trajectory based on the motion device; Obtain the latest data from each collection point, create data layers labeled with geological data types, and build a management layer library; Among them, when local collection data is obtained, spatial identification is performed on the local collection data, and the application proportion of each collection quantity is determined based on the spatial identification result; the spatial identification process includes judging the collection accuracy of each collection quantity based on the latest broadcast response data; and adjusting the random selection process of the collection point based on the application proportion.

[0008] As a further solution of the present invention, the step of determining the incremental number of collection points, randomly selecting the number of collection points from the collection points, and acquiring the collected data locally and in real time based on the selected collection points includes: Receive the minimum quantity and quantity increment step input by the staff, use the minimum quantity as the first item, the quantity increment step as the tolerance, and the total number of collection points as the last item to construct a quantity series; For any collection quantity in the quantity series, randomly select the collection number of collection points from the collection points; The collection equipment is installed at the collection point, local collection instructions are sent to the collection equipment, and the collected data is obtained in real time and stored locally.

[0009] As a further solution of the present invention, the step of determining the data collection trajectory based on the selected collection points, and reading the local collection data at the selected collection points along the data collection trajectory based on the motion device includes: After each selection is completed, the selected collection points are read; Create a circular area with the collection point as the center and the preset data reading range as the radius; Randomly select and only select one location within the circular area of each collection point as a passing point to generate a collection path; The loop is executed for a preset number of times, and the acquisition path with the shortest distance is selected from the acquired acquisition paths as the data acquisition trajectory; The data collection trajectory is sent to the motion device, and the local collection data at the selected collection point is read.

[0010] As a further solution of the present invention, the content of performing spatial recognition on the locally collected data and determining the application proportion of each collected quantity according to the spatial recognition result includes: Group the locally collected data at the same time into one category; Simulating the collected data at the unselected collection points based on the local collected data; Read the most recent broadcast response data, verify the simulation results based on the broadcast response data, and obtain the similarity; Count the similarities of all moments corresponding to each collection quantity, and calculate the mean similarity as the accuracy of the collection quantity; Compare the accuracy of each collected quantity and determine the application proportion of each collected quantity.

[0011] As a further solution of the present invention, the content of the random selection process of adjusting the collection points based on the application proportion includes: In a time period, the time period is divided based on the application ratio to obtain the relative time period corresponding to each collection quantity; The collection quantity is determined based on the relative time period corresponding to the current moment.

[0012] The technical solution of the present invention also provides an engineering geological data management system under a mapping framework, the system comprising: The collection point creation module is used to receive the regional boundaries input by the management personnel, obtain the regional map of the regional boundaries, and create geological collection points according to the regional map; The management library creation module is used to obtain different types of geological data based on geological collection points, create data layers with types as labels, and build a management layer library; The geological drawing generation module is used to receive project management requirements input by the user, locate the data layer in the management layer library according to the project management requirements, and generate and display the project reference drawings; The geological drawing encryption module is used to evaluate historical management decisions based on project reference drawings and generate evaluation reports.

[0013] As a further solution of the present invention: the collection point creation module includes: The grid generation unit is used to receive the collection density input by the management personnel, determine the grid unit length according to the collection density, and construct the grid; A grid insertion unit is used to receive the area boundary input by the manager, obtain the area map of the area boundary, insert the grid into the area map, and use the grid nodes as collection points; A trajectory insertion unit is used to obtain the passage records in the geological area and insert the passage trajectory into the regional map according to the passage records; The position adjustment unit is used to adjust the position of the collection point based on the passage trajectory.

[0014] As a further solution of the present invention: the management library creation module includes: The timing acquisition unit is used to broadcast data acquisition instructions for any type of geological data at regular intervals, and receive the collected data acquired and wirelessly uploaded by all collection points as broadcast response data; A real-time acquisition unit is used to determine the incremental collection quantity, randomly select the collection quantity of collection points from the collection points, and acquire the collection data locally in real time based on the selected collection points; An interrupt acquisition unit, configured to determine a data acquisition trajectory based on the selected acquisition points, and read the local acquisition data at the selected acquisition points along the data acquisition trajectory based on the motion device; The layer generation unit is used to obtain the latest data at each collection point, create a data layer with the type of geological data as a label, and build a management layer library; Among them, when local collection data is obtained, spatial identification is performed on the local collection data, and the application proportion of each collection quantity is determined based on the spatial identification result; the spatial identification process includes judging the collection accuracy of each collection quantity based on the latest broadcast response data; and adjusting the random selection process of the collection point based on the application proportion.

[0015] Compared with the existing technology, the beneficial effects of the present invention are: by associating multiple types of geological data with actual collection points and establishing a layer-based storage model, the system can accurately extract the corresponding layer data according to the demand type and geographical boundaries input by the project manager, and generate digital geological drawings for auxiliary decision-making. It not only realizes the efficient collection and layer-based management of geological data, but also provides comprehensive technical support in project management, task scheduling, authority control and decision-making assistance. It is particularly suitable for scenarios such as smart mine management, underground engineering deployment and geological disaster prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0017] Figure 1 This is a flowchart of the engineering geological data management method under the mapping framework.

[0018] Figure 2 This is a structural diagram of the engineering geological data management system under the mapping architecture. DETAILED DESCRIPTION

[0019] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] Figure 1 The flowchart of the engineering geological data management method under the mapping framework is as follows. In an embodiment of the present invention, a method for managing engineering geological data under the mapping framework is provided. The method includes: Step S100: receiving the regional boundary input by the manager, obtaining a regional map of the regional boundary, and creating geological collection points according to the regional map; The regional boundary is the boundary of the geological area. It is the area where data collection and management are required. It is a range. By obtaining the regional map within the regional boundary and analyzing the regional map, geological collection points can be created for installing collection equipment and collecting geological data.

[0021] Step S200: acquiring different types of geological data based on geological collection points, creating data layers with the types as labels, and building a management layer library; Different types of collection equipment are set up at the geological collection points to obtain different types of geological data, and then each type of data is processed and stored separately. The storage management method in this application is a map-based storage management method, that is, it is converted into a data layer for storage.

[0022] Step S300: receiving project management requirements input by the user, locating data layers in the management layer library according to the project management requirements, and generating and displaying project reference drawings; When the user needs to read, the input project management requirements are received. The project management requirements generally include regional coordinate requirement types, which are used to indicate which areas require which requirements. The corresponding data layer is located according to the requirement type, and the data within the boundary is read and converted into display parameters. Then all the required boundaries are spliced together to obtain a geological drawing for subsequent project management reference, which is called a project reference drawing. Among them, the mapping relationship between data and display parameters is preset. This mapping relationship is a functional relationship, which is very simple. Generally, the display parameters have three channels, which can independently represent at least three types of geological data. If the ranges of the three channels are split and combined, more types of geological data can be represented.

[0023] Step S400: Evaluate historical management decisions based on project reference drawings and generate an evaluation report; Every time a project reference drawing is generated, in addition to assisting the current management decision-making process, it can also evaluate historical management decisions. The project reference drawing at the time of historical management decision-making can be queried as the historical drawing, and the currently generated project reference drawing can be obtained as the current drawing. The difference between the current drawing and the historical drawing can be compared to determine the decision result of the historical management decision. The difference is input into the preset evaluation model (an existing model that can evaluate images can be used) to obtain an evaluation report of the historical management decision, which is also an important reference data to assist the current management decision-making process.

[0024] Regarding step S100, the steps of receiving the regional boundary input by the administrator, obtaining a regional map of the regional boundary, and creating geological collection points according to the regional map include: Receive the collection density input by the management personnel, determine the grid unit length according to the collection density, and construct the grid; Receive the area boundary input by the manager, obtain the area map of the area boundary, insert the grid into the area map, and use the grid nodes as collection points; Obtain the passage records in the geological area and insert the passage tracks into the regional map according to the passage records; Adjust the location of the collection point based on the passage trajectory.

[0025] In one example of the technical solution of the present invention, the process of determining the collection points is described. The collection density input by the management personnel is received, the grid unit length is determined based on the collection density, a grid is constructed, the grid is inserted into the detection area map, and the grid nodes are used as collection points. On this basis, within the detection area of the geological scene, there will be regular manual inspections by staff, which are the passage records of the above content. According to the passage records, the passage tracks are inserted into the detection area map, and the positions of the collection points are adjusted based on the passage tracks. Among them, the method of adjusting the position of the collection point based on the passage track is to calculate the distance between any collection point and each passage track, and adjust the collection point based on the offset vector according to the distance and each passage track; the modulus length of the offset vector is inversely proportional to the distance.

[0026] Regarding step S200, the steps of acquiring different types of geological data based on geological acquisition points, creating data layers with types as labels, and building a management layer library include: For any type of geological data, the system broadcasts data collection instructions regularly and receives the collected data acquired and wirelessly uploaded by all collection points as broadcast response data; Determine the incremental collection quantity, randomly select the collection quantity collection points from the collection points, and obtain the collection data locally and in real time based on the selected collection points; Determine a data collection trajectory based on the selected collection points, and read local collection data at the selected collection points along the data collection trajectory based on the motion device; Obtain the latest data from each collection point, create data layers labeled with geological data types, and build a management layer library; Among them, when local collection data is obtained, spatial identification is performed on the local collection data, and the application proportion of each collection quantity is determined based on the spatial identification result; the spatial identification process includes judging the collection accuracy of each collection quantity based on the latest broadcast response data; and adjusting the random selection process of the collection point based on the application proportion.

[0027] A collection device is installed at the collection point. The collection device can obtain a variety of geological data, which is related to the type of collection device. In order to simplify the analysis, it is assumed that only one type of collection data is obtained. If there are multiple types of collection data, it is only necessary to apply the technical solution provided by the present invention once for each type of collection data. A wireless transmission module is installed on the collection device for wirelessly transmitting data. The data terminal needs to obtain data from all collection points at regular intervals to evaluate the geological status. Therefore, the data collection instruction is broadcast at regular intervals to receive the collection data obtained and wirelessly uploaded by all collection points. At this time, the data obtained is the collection data from all collection points at the broadcast time, which is called broadcast response data. It should be noted that the broadcast frequency of the data collection instruction is very low. Its function is to reduce the data transmission consumption of the collection device and improve its performance and endurance in collection.

[0028] On the basis of scheduled collection, regarding the actual working process of the collection equipment at each collection point, not all collection devices work in real time. Instead, different numbers of collection devices are selected at different times within a time period, and the selected collection devices obtain the collection data in real time and then store it locally. This allows each collection device to work for a period of time and then rest for a period of time. Assuming that the amount of resources (power supply) supports its work for a time period, then this intermittent collection method can extend its working duration. Because of the time when it is not working in the middle, under the existing energy architecture, many collection devices will be equipped with photovoltaic panels. This intermittent collection method can ensure that the resources are replenished in sufficient time.

[0029] After each acquisition device obtains data, it stores it locally and only uploads some instantaneous data wirelessly at regular intervals. For one acquisition process, the data acquisition trajectory is determined based on the selected acquisition point and sent to the motion device. The motion device generates motion instructions based on the data acquisition trajectory and moves directly to the acquisition point to obtain data. This method greatly reduces the amount of wireless data transmission. However, the energy consumption of the wireless transmission process is extremely high. Optimizing this part further reduces energy consumption.

[0030] Since locally collected data is actually only data from some collection points, the data comprehensiveness is definitely not as good as the real-time wireless collection solution. However, this part can be supplemented with the help of existing simulation algorithms. The acquired local collected data can be spatially identified, and the unacquired collection data can be predicted based on the spatial identification results. The broadcast response data is used as the real data to determine the quality of the local collected data and then adjust the collection point selection process. In general, the more collection points selected, the more accurate the prediction results. Therefore, the adjustment target uses the collection quantity. Adjusting the collection quantity can obtain data of different qualities.

[0031] After obtaining the data, it can be converted into a data layer, and the obtained data layers can be counted to obtain a management layer library.

[0032] Furthermore, the step of determining the incremental collection quantity, randomly selecting the collection quantity collection points from the collection points, and acquiring the collected data locally and in real time based on the selected collection points includes: Receive the minimum quantity and quantity increment step input by the staff, use the minimum quantity as the first item, the quantity increment step as the tolerance, and the total number of collection points as the last item to construct a quantity series; For any collection quantity in the quantity series, randomly select the collection number of collection points from the collection points; The collection equipment is installed at the collection point, local collection instructions are sent to the collection equipment, and the collected data is obtained in real time and stored locally.

[0033] There are many possibilities for selecting the collection quantity, the maximum is the total number of collection points, and the minimum is one. However, under normal circumstances, only one collection quantity will not be selected. The error rate of using the collection data of one collection point as the collection data of the entire detection area is too large. Therefore, a minimum quantity will be preset. In addition, how much the collection quantity increases at a time is also preset; the minimum quantity and the quantity increment step input by the staff are received, and the minimum quantity is used as the first item, the quantity increment step is used as the tolerance, and the total number of collection points is used as the last item to construct a quantity series; for any collection quantity in the quantity series, a collection number of collection points is randomly selected from the collection points, and a collection device is installed at the collection point. A local collection instruction is sent to the collection device to obtain the collection data in real time and store it locally; wherein the collection device has at least a data acquisition module, a data transmission module and a data storage module.

[0034] Specifically, the steps of determining a data collection trajectory based on the selected collection points and reading the local collection data at the selected collection points along the data collection trajectory based on the motion device include: After each selection is completed, the selected collection points are read; Create a circular area with the collection point as the center and the preset data reading range as the radius; Randomly select and only select one location within the circular area of each collection point as a passing point to generate a collection path; The loop is executed for a preset number of times, and the acquisition path with the shortest distance is selected from the acquired acquisition paths as the data acquisition trajectory; The data collection trajectory is sent to the motion device, and the local collection data at the selected collection point is read.

[0035] In an example of the technical solution of the present invention, the working process of the collection point is explained. After each selection is completed, the selected collection point is read, and a circular area is created with the collection point as the center and the preset data reading range as the radius. The meaning of the circular area is that after the motion device reaches the area, it can obtain the data of the collection device, including Bluetooth or short-range wireless transmission. If the motion device is an intelligent robot, it can even directly replace the storage disk; randomly select and only select one position in the circular area of each collection point as a waypoint to generate a collection path; execute the collection path generation process multiple times to obtain multiple collection paths, and select the optimal path among the multiple collection paths as the data collection trajectory; send the data collection trajectory to the motion device, and read the local collection data at the selected collection point.

[0036] Furthermore, the content of performing spatial identification on the locally collected data and determining the application proportion of each collected amount according to the spatial identification result includes: Group the locally collected data at the same time into one category; Simulating the collected data at the unselected collection points based on the local collected data; Read the most recent broadcast response data, verify the simulation results based on the broadcast response data, and obtain the similarity; Count the similarities of all moments corresponding to each collection quantity, and calculate the mean similarity as the accuracy of the collection quantity; Compare the accuracy of each collected quantity and determine the application proportion of each collected quantity.

[0037] After obtaining the local collected data, the collected data itself contains a time tag, indicating when the data was collected. The local collected data of each selected collection point at the same time are classified into one category, and the collected data at other unselected collection points are simulated to obtain simulated data; the broadcast response data at the most recent time is read, and the simulation results are verified based on the broadcast response data to obtain the similarity; for any collection quantity, the similarity of all acquired moments is counted, and the average similarity is calculated as the accuracy, thereby obtaining the accuracy of each collection quantity; by comparing the accuracy of each collection quantity, the application proportion of each collection quantity can be determined.

[0038] Specifically, regarding the simulation process and comparison process of collected data, this application has introduced a grid, and the grid node is the collection point. Thus, a matrix can be created. Each position in the matrix corresponds to a collection point. After reading the collected data, the corresponding position is inserted, and then a matrix with partial data is obtained. Based on the positions with data, the positions without data are simulated. The simulation process uses the existing two-dimensional data filling method to obtain a matrix with data at all positions, and the broadcast response data has data at each collection point. Statistics are performed in the form of a matrix, and a matrix composed of real data can be obtained. The similarity can be obtained by applying a two-dimensional comparison algorithm (such as an image comparison algorithm).

[0039] The calculation process of the application proportion is as follows: ; Where, is the number of collections, The number of collections is The application ratio of The number of collections is The proportion of The number of collections is The accuracy of ; and is the preset correction factor.

[0040] In the calculation process of application ratio, The percentage of apps used is in the range of zero to one, while It is directly proportional to the accuracy. If the accuracy of a collection quantity is high, the application share will be high. It is directly proportional to the increment of accuracy. If the accuracy increases more when the collection quantity increases, it means that the cost performance is high. It is inversely proportional to the collection quantity. The more collection quantity, the higher the cost.

[0041] It is worth mentioning that, in the above content, in Maybe from At the beginning, for example, 10 means that the number of collections is at least 10. At this time, the accuracy of the number of collections that has not been calculated is set to zero, which is equivalent to .

[0042] Finally, the content of the random selection process of adjusting the collection points based on the application proportion includes: In a time period, the time period is divided based on the application ratio to obtain the relative time period corresponding to each collection quantity; The collection quantity is determined based on the relative time period corresponding to the current moment.

[0043] In an example of the technical solution of the present invention, the use process of the application ratio is explained. A time period is divided into time periods. For each collection quantity, the corresponding time period number is determined according to the application ratio, and a time period is randomly selected in the time period as the relative time period corresponding to the collection quantity; the meaning of the relative time period is that the scale of the time period adopts the relative time based on the starting point of the time period; after the time period is allocated to each collection quantity, the current moment is obtained to determine the relative moment of the current moment in the current time period. The collection quantity is used according to the time period to which the relative moment belongs.

[0044] Figure 2 The following is a structural block diagram of an engineering geological data management system under a mapping framework. In an embodiment of the present invention, an engineering geological data management system under a mapping framework, the system 10 includes: The collection point creation module 11 is used to receive the regional boundary input by the management personnel, obtain the regional map of the regional boundary, and create geological collection points according to the regional map; A management library creation module 12 is used to obtain different types of geological data based on geological acquisition points, create data layers with types as labels, and build a management layer library; The geological drawing generation module 13 is used to receive the project management requirements input by the user, locate the data layer in the management layer library according to the project management requirements, and generate and display the project reference drawings; The geological drawing encryption module 14 is used to evaluate historical management decisions based on project reference drawings and generate an evaluation report.

[0045] Furthermore, the collection point creation module 11 includes: The grid generation unit is used to receive the collection density input by the management personnel, determine the grid unit length according to the collection density, and construct the grid; A grid insertion unit is used to receive the area boundary input by the manager, obtain the area map of the area boundary, insert the grid into the area map, and use the grid nodes as collection points; A trajectory insertion unit is used to obtain the passage records in the geological area and insert the passage trajectory into the regional map according to the passage records; The position adjustment unit is used to adjust the position of the collection point based on the passage trajectory.

[0046] Specifically, the management library creation module 12 includes: The timing acquisition unit is used to broadcast data acquisition instructions for any type of geological data at regular intervals, and receive the collected data acquired and wirelessly uploaded by all collection points as broadcast response data; A real-time acquisition unit is used to determine the incremental collection quantity, randomly select the collection quantity of collection points from the collection points, and acquire the collection data locally in real time based on the selected collection points; An interrupt acquisition unit, configured to determine a data acquisition trajectory based on the selected acquisition points, and read the local acquisition data at the selected acquisition points along the data acquisition trajectory based on the motion device; The layer generation unit is used to obtain the latest data at each collection point, create a data layer with the type of geological data as a label, and build a management layer library; Among them, when local collection data is obtained, spatial identification is performed on the local collection data, and the application proportion of each collection quantity is determined based on the spatial identification result; the spatial identification process includes judging the collection accuracy of each collection quantity based on the latest broadcast response data; and adjusting the random selection process of the collection point based on the application proportion.

[0047] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for managing engineering geological data under a mapping framework, characterized in that: The method comprises: Receive the regional boundaries input by the management personnel, obtain the regional map of the regional boundaries, and create geological collection points based on the regional map; For any type of geological data, the system broadcasts data collection instructions regularly and receives the collected data acquired and wirelessly uploaded by all collection points as broadcast response data; Determine the incremental collection quantity, randomly select the collection quantity collection points from the collection points, and obtain the collection data locally and in real time based on the selected collection points; Determine a data collection trajectory based on the selected collection points, and read local collection data at the selected collection points along the data collection trajectory based on the motion device; Obtain the latest data from each collection point, create data layers labeled with geological data types, and build a management layer library; When local collected data is acquired, spatial recognition is performed on the local collected data, and the application ratio of each collected quantity is determined based on the spatial recognition result; the spatial recognition process includes determining the collection accuracy of each collected quantity based on the latest broadcast response data; and adjusting the random selection process of the collection point based on the application ratio; Receive project management requirements input by users, locate data layers in the management layer library according to project management requirements, and generate and display project reference drawings; Evaluate historical management decisions against project reference drawings and generate evaluation reports.

2. The engineering geological data management method under the mapping framework according to claim 1 is characterized in that: The steps of receiving the regional boundary input by the administrator, obtaining a regional map of the regional boundary, and creating geological collection points according to the regional map include: Receive the collection density input by the management personnel, determine the grid unit length according to the collection density, and construct the grid; Receive the area boundary input by the manager, obtain the area map of the area boundary, insert the grid into the area map, and use the grid nodes as collection points; Obtain the passage records in the geological area and insert the passage tracks into the regional map according to the passage records; Adjust the location of the collection point based on the passage trajectory.

3. The engineering geological data management method under the mapping framework according to claim 1 is characterized in that: The step of determining the incremental collection quantity, randomly selecting the collection quantity of collection points from the collection points, and acquiring the collected data locally and in real time based on the selected collection points comprises: Receive the minimum quantity and quantity increment step input by the staff, use the minimum quantity as the first item, the quantity increment step as the tolerance, and the total number of collection points as the last item to construct a quantity series; For any collection quantity in the quantity series, randomly select the collection number of collection points from the collection points; The collection equipment is installed at the collection point, local collection instructions are sent to the collection equipment, and the collected data is obtained in real time and stored locally.

4. The engineering geological data management method under the mapping framework according to claim 1 is characterized in that: The steps of determining a data collection trajectory based on the selected collection points and reading local collection data at the selected collection points along the data collection trajectory based on the motion device include: After each selection is completed, the selected collection points are read; Create a circular area with the collection point as the center and the preset data reading range as the radius; Randomly select and only select one location within the circular area of each collection point as a passing point to generate a collection path; The loop is executed for a preset number of times, and the acquisition path with the shortest distance is selected from the acquired acquisition paths as the data acquisition trajectory; The data collection trajectory is sent to the motion device, and the local collection data at the selected collection point is read.

5. The engineering geological data management method under the mapping framework according to claim 1 is characterized in that: The content of spatially identifying the locally collected data and determining the application ratio of each collected amount according to the spatial identification result includes: Group the locally collected data at the same time into one category; Simulating the collected data at the unselected collection points based on the local collected data; Read the most recent broadcast response data, verify the simulation results based on the broadcast response data, and obtain the similarity; Count the similarities of all moments corresponding to each collection quantity, and calculate the mean similarity as the accuracy of the collection quantity; Compare the accuracy of each collected quantity and determine the application proportion of each collected quantity.

6. The engineering geological data management method under the mapping framework according to claim 5 is characterized in that: The content of the random selection process of adjusting the collection points based on the application proportion includes: In a time period, the time period is divided based on the application ratio to obtain the relative time period corresponding to each collection quantity; The collection quantity is determined based on the relative time period corresponding to the current moment.

7. An engineering geological data management system under a mapping framework, characterized in that: The system comprises: The collection point creation module is used to receive the regional boundaries input by the management personnel, obtain the regional map of the regional boundaries, and create geological collection points according to the regional map; The timing acquisition unit is used to broadcast data acquisition instructions for any type of geological data at regular intervals, and receive the collected data acquired and wirelessly uploaded by all collection points as broadcast response data; A real-time acquisition unit is used to determine the incremental collection quantity, randomly select the collection quantity of collection points from the collection points, and acquire the collection data locally in real time based on the selected collection points; An interrupt acquisition unit, configured to determine a data acquisition trajectory based on the selected acquisition points, and read the local acquisition data at the selected acquisition points along the data acquisition trajectory based on the motion device; The layer generation unit is used to obtain the latest data at each collection point, create a data layer with the type of geological data as a label, and build a management layer library; When local collected data is acquired, spatial recognition is performed on the local collected data, and the application ratio of each collected quantity is determined based on the spatial recognition result; the spatial recognition process includes determining the collection accuracy of each collected quantity based on the latest broadcast response data; and adjusting the random selection process of the collection point based on the application ratio; The project reference generation module is used to receive project management requirements input by the user, locate the data layer in the management layer library according to the project management requirements, and generate and display the project reference drawings; The historical decision evaluation module is used to evaluate historical management decisions based on project reference drawings and generate evaluation reports.

8. The engineering geological data management system under the mapping framework according to claim 7 is characterized in that: The collection point creation module includes: The grid generation unit is used to receive the collection density input by the management personnel, determine the grid unit length according to the collection density, and construct the grid; A grid insertion unit is used to receive the area boundary input by the manager, obtain the area map of the area boundary, insert the grid into the area map, and use the grid nodes as collection points; A trajectory insertion unit is used to obtain the passage records in the geological area and insert the passage trajectory into the regional map according to the passage records; The position adjustment unit is used to adjust the position of the collection point based on the passage trajectory.

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