Grouting engineering data management method integrating construction and geological data

Abstract

The invention provides a grouting engineering data management method integrating construction and geological data, and relates to the field of grouting engineering data digital management. The method comprises the steps that an intelligent grouting system is deployed to collect construction data and upload the construction data to a cloud; structurally analyzing the data and calibrating coordinates according to a unified coordinate system; the geological profile map and the tunnel sketch map are converted into standardized geological data (including stratum numbers, three-dimensional fracture traces and the like); and integrating a unified coordinate system into a database, realizing spatial matching and fusion analysis of construction and geological data, and generating a grouting geological model to guide construction. Through a unified data platform, the problem of data splitting of a traditional method is solved, the concealment analysis capability is improved, and the construction quality and the seepage-proofing effect are optimized.

Description

Technical Field

[0001] The present invention relates to the field of digital management of grouting engineering data, and in particular to a grouting engineering data management method integrating construction and geological data. Background Art

[0002] Bedrock curtain grouting is a common anti-seepage method in large-scale water conservancy projects. It uses cement or chemical slurry to seal the fracture network in the bedrock, thereby blocking the leakage channel of reservoir water. However, the degree of digitization of traditional grouting projects is low, and the management of basic construction data still remains at the stage of manual recording and spreadsheets. The massive data processing tasks generated by the project occupy a large amount of manpower of the project construction party, and due to the inconvenience of data retrieval, its utilization rate is also low. In addition, geological data often exists in the form of images such as cross-sections and sketches, which are difficult to compare and analyze with construction data during grouting construction to guide construction. With the deployment and application of intelligent grouting systems, it has become possible to unify the management and integrated comparison of grouting project construction data and geological data through electronic information means.

[0003] The essence of curtain grouting engineering is to change geological conditions through engineering means, but due to the uncertainty of bedrock geological conditions, the most notable feature of bedrock grouting engineering is its concealment, and the geological conditions before and after grouting construction are difficult to intuitively understand. Large-scale analysis of grouting engineering construction data and geological data, and then generating a grouting geological model, is an effective way to reduce the concealment of the project and improve the quality of engineering construction. For engineering construction data, according to the "Technical Specifications for Cement Grouting Construction of Hydraulic Structures" (SL / T62-2020), grouting construction needs to record 8 types of record data such as "Grouting Records and Sealing Records", and organize 8 types of statistical data such as "Grouting Hole Results List". Traditional grouting construction data is recorded manually or in disciple tables, which consumes a lot of construction management manpower and has a low data utilization rate. Since 2016, a number of units have jointly developed an intelligent grouting system and proposed a matching cloud database to realize the automatic recording and transmission of recorded data. There is still a lack of effective integrated analysis and utilization of geological data, including geological exploration borehole and adit data from the design phase, geological sketch data from the tunnel excavation phase, and in-hole camera data from the pilot hole drilling phase. Grouting projects typically only conduct preliminary analyses of geological data, obtaining data such as local rock mass classification, permeability, strength, and fracture predominance grouping. Furthermore, geological data often exists in the form of images such as geological profiles, tunnel sketches, and borehole camera expansion diagrams. Integration and comparative analysis with construction data at the engineering scale results in a relatively disconnected state between construction data and geological data. Summary of the Invention

[0004] In order to overcome the shortcomings of the existing technology, the purpose of the present invention is to provide a grouting engineering data management method that integrates construction and geological data, adopts a unified engineering coordinate system, and unifies construction and geological data to achieve a unified grouting engineering data platform.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A grouting engineering data management method that integrates construction and geological data includes:

[0007] Deploy an intelligent grouting system at the target location, automatically collect grouting construction data through sensors, and transmit it to the cloud database in real time;

[0008] Based on the relational database structure, the grouting construction data is parsed, and the global coordinates and local relative coordinates of each construction level are calibrated according to the unified engineering coordinate system;

[0009] Parsing geological data to convert images and textual data in the geological data into standardized geological data associated with spatial locations; the geological data includes geological cross-sections and tunnel geological sketches;

[0010] Importing the standardized geological data into a cloud database through a unified spatial coordinate system and data structure, so that the cloud database and the construction data form a unified database;

[0011] Based on the unified database, spatial matching and fusion analysis of construction data and geological data are achieved, and a grouting geological model is generated to guide construction decisions.

[0012] Preferably, an intelligent grouting system is deployed at the target location, and grouting construction data of the intelligent grouting system is automatically collected through sensors and transmitted to a cloud database in real time, including:

[0013] A host computer is deployed on each of the intelligent grouting devices, and groundwater, inclination measurement, punching, water pressure and grouting data are collected in real time through the sensors to form the grouting construction data;

[0014] Transmitting the grouting construction data to a relay node via a local area network;

[0015] The relay node data is transmitted to the on-site data center via the local area network and synchronized to the cloud database.

[0016] Preferably, the geological data is parsed to convert images and textual data in the geological data into normalized geological data associated with spatial locations, including:

[0017] For geological profiles, we extract stratum numbers, control point coordinates, profile fracture traces, and geological drill hole data through a combination of manual analysis and artificial intelligence.

[0018] For the tunnel geological sketch, the plane position of the cross-section fracture trace is extracted by using automatic image recognition technology, and the plane position is converted into a three-dimensional fracture trace in three-dimensional space by spatial coordinate transformation;

[0019] The three-dimensional fracture traces are grouped into dominant groups, and the occurrence, width, size and filling of the fracture groups are counted to generate fracture network attribute data corresponding to the spatial coordinates;

[0020] The stratum number, the control point coordinates, the three-dimensional fracture trace, the geological drilling data and the fracture network attribute data are determined as the normalized geological data.

[0021] Preferably, the stratum number and the control point coordinates are manually imported, and the profile fracture trace and the geological drilling data are obtained by map recognition.

[0022] Preferably, the automatic image recognition technology is to identify and extract the geometric characteristics and spatial distribution information of the cross-section fracture traces by parsing the tunnel geological sketch in CAD format.

[0023] Preferably, the fusion analysis is: by spatial coordinate matching, comparing the mortar injection rate of the construction unit with the geological permeability and crack density data of the corresponding area; the mortar injection rate estimation formula is:

[0024]

[0025] Among them, G is the estimated ash injection rate, ω i is the average opening of the i-th crack, N is the number of cracks, γ is the correction coefficient, α and β are the empirical parameters of rock permeability, which are given by field grouting tests according to different geological conditions.

[0026] Preferably, the unified engineering coordinate system is constructed based on the BIM or BIM+GIS platform, and the components at each level of the grouting project are uniquely identified through the WBS coding system.

[0027] Preferably, the cloud database supports real-time updating, dynamic query and generation of exception reports of construction data and geological data.

[0028] Preferably, the abnormal report generation includes an early warning of abnormal grouting volume and an estimation of the anti-seepage effect.

[0029] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0030] The present invention provides a grouting engineering data management method that integrates construction and geological data, comprising: deploying an intelligent grouting system at a target location, automatically collecting grouting construction data from the intelligent grouting system via sensors, and transmitting it to a cloud database in real time; parsing the grouting construction data based on a relational database structure, and calibrating the global coordinates and local relative coordinates of each construction level according to a unified engineering coordinate system; parsing the geological data to convert images and text in the geological data into standardized geological data associated with spatial locations; the geological data includes geological profiles and tunnel geological sketches; importing the standardized geological data into a cloud database using a unified spatial coordinate system and data structure, so that the cloud database and the construction data form a unified database; performing spatial matching and fusion analysis of the construction data and geological data based on the unified database, and generating a grouting geological model to guide construction decision-making. The present invention adopts a unified engineering coordinate system and unifies construction and geological data to achieve a unified grouting engineering data platform. Compared with the data processing platform of traditional intelligent grouting systems, the significant improvement of the present invention lies in the input and integration of geological data in grouting projects, making it possible to dynamically and large-scale analyze the construction process data of grouting projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 A flow chart of a method provided by an embodiment of the present invention;

[0033] Figure 2 A flow chart of the data management platform layout provided by an embodiment of the present invention;

[0034] Figure 3 This is an architecture diagram of the construction data recording and transmission system for the intelligent grouting equipment provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0036] The purpose of the present invention is to provide a grouting engineering data management method that integrates construction and geological data, adopts a unified engineering coordinate system, and unifies construction and geological data to achieve a unified grouting engineering data platform.

[0037] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0038] Figure 1 A flow chart of the method provided in the embodiment of the present invention is shown in FIG. Figure 1 As shown, the present invention provides a grouting engineering data management method that integrates construction and geological data, including:

[0039] Step 100: Deploy the intelligent grouting system at the target location, automatically collect grouting construction data of the intelligent grouting system through sensors, and transmit it to the cloud database in real time;

[0040] Step 200: parsing the grouting construction data based on the relational database structure, and calibrating the global coordinates and local relative coordinates of each construction level according to the unified engineering coordinate system;

[0041] Step 300: Analyzing geological data to convert images and textual data in the geological data into standardized geological data associated with spatial locations; the geological data includes geological cross-sections and tunnel geological sketches;

[0042] Step 400: importing the normalized geological data into the cloud database through a unified spatial coordinate system and data structure, so that the cloud database and the construction data form a unified database;

[0043] Step 500: Implement spatial matching and fusion analysis of construction data and geological data based on a unified database, and generate a grouting geological model to guide construction decisions.

[0044] A new method for integrating grouting engineering construction data and geological data based on a unified spatial coordinate system and a unified data structure, characterized in that the method comprises the following steps:

[0045] Specifically, such as Figures 2 to 3 As shown, the technical route of this embodiment is as follows:

[0046] Step 1: Relying on the intelligent grouting system, deploy automatic recording and transmission equipment for grouting construction data to automatically record and transmit construction data to the cloud database;

[0047] The exemplary intelligent grouting system is an integrated automated grouting system, including a centralized slurrying station, a transfer station, and intelligent grouting equipment. The above three types of equipment can complete slurrying, transfer, and grouting with one click through integrated sensors, and ensure that the relevant data of the above steps are recorded in real time. These recorded data are communicated to the host of each device through the sensors and PLCs deployed on each device. The above-mentioned devices are all connected to a server deployed on the local area network through a local area network, so that the host of each device can achieve real-time communication and ensure seamless connection of the slurrying, transfer, and grouting processes. It should be noted that the above-mentioned intelligent grouting system, especially its hardware and communication parts, has been reported to the relevant patents by this unit and its cooperative units. This embodiment mainly focuses on how to record, transmit, organize, analyze and feedback the data collected by the various device nodes of the intelligent grouting system. This embodiment focuses on how to process the construction data collected by the intelligent grouting equipment during the grouting construction process. It should be noted that this embodiment not only analyzes the construction data collected during the grouting construction process, but also combines these construction data with geological data collected before or during construction, matches them according to their spatial locations, and then performs fusion analysis. For example, the crack density / permeability data of a specific construction area is compared with the average grouting rate of the area to find their mapping relationship).

[0048] Furthermore, this embodiment establishes a unified engineering coordinate system (which can be under the BIM platform or the BIM+GIS platform) for a specific curtain grouting project. A WBS coding system is formulated for each level of components of the grouting project and the geological model, and each level of components is assigned a unique WBS code and engineering coordinates, such as Figure 2 As shown in Figure 1. A unified WBS code and engineering coordinate system is the key to managing and integrating various models, geological components, and their associated data in a unified database. Based on the existing WBS code and engineering coordinate system, this method should first deploy an engineering data acquisition and transmission system based on the intelligent grouting system, such as Figure 3 The specific steps are as follows:

[0049] Step 1.1: Install a host computer on each intelligent grouting device and use sensors (existing) to collect basic record data of the grouting project, including groundwater, inclination measurement, punching, water pressure, and grouting data;

[0050] Step 1.2: Deploy data transmission relay nodes at each construction site and transmit the data collected by the host computer of the intelligent grouting equipment to the relay nodes through the local area network;

[0051] Step 1.3: The data is transmitted from the LAN to the LAN data center of the on-site project department via the relay node, and then connected to the Internet to complete the cloud database engineering data backup.

[0052] Step 2: Based on the relational database structure (this relational database is a large type in the database), parse the construction record data uploaded to the database by the intelligent grouting equipment (the so-called parsing here means transmitting the data collected by the sensor to the PLC, but the PLC can only temporarily store data. This embodiment requires the data recorded in the PLC to be filled into the equipment database through certain data logic. This one-to-one correspondence of the data in the PLC and finding its position in the equipment database form is called parsing in this embodiment), and calibrate the global coordinates and local relative coordinates of each construction level according to the engineering coordinates.

[0053] Specifically, this embodiment uses a relational database structure to parse construction record data uploaded by grouting equipment within a cloud database. It then calibrates the global and local relative coordinates of each construction level according to the project coordinates. In addition to collecting project data, the cloud database platform also provides construction data statistics and daily reporting.

[0054] Step 3: For the two main types of geological data, geological profiles and tunnel sketches, corresponding methods are used (the corresponding methods here mainly refer to different data analysis methods for different data, including manual analysis of geological profiles in geological survey reports and automatic image recognition of tunnel geological sketches (CAD drawings). The specific sub-steps are as follows:

[0055] Step 3.1: Extract the borehole and adit information from the geological survey phase, as well as the spatial location information of large discontinuous structures (including faults, caves, wide fissures, etc.) from the geological profile data. (The data parsing method here mainly relies on artificial intelligence and manual image recognition. For the text portion of the geological survey report, i.e., the descriptive information, this embodiment uses an existing large language model to parse and extract key information. For the data information in the geological survey report, especially the information on the geological profile, current artificial intelligence and image recognition tools have not yet achieved the ability to automatically recognize geological profiles. Therefore, this embodiment still uses manual image recognition to parse the data and convert the geological profile image data into structured digital data for subsequent analysis.

[0056] For example, this embodiment can organize four types of geological data for geological profile data, including: stratum number, control point coordinates, profile fracture traces, and geological drill hole data. Among them, the stratum number and control point coordinates are manually imported, and the profile traces and geological drill hole data are obtained through map recognition.

[0057] Step 3.2: For the tunnel geological sketch, a map recognition method is used to extract the relative position of the fracture traces on the sketch, and the traces on the planar unfolded sketch are reconverted into fracture traces in three-dimensional space through spatial coordinate transformation (the geological sketch data of this embodiment (mainly saved in the form of CAD files) has the ability to automatically read, recognize, and extract fracture data. The focus of this embodiment is to use this automatic map recognition function to extract geological data, organize and analyze the geological data, and then fuse and analyze it with the construction data. The main fusion analysis method is to match various types of data in spatial position and find their correlation. Therefore, when performing data analysis, the most important task is to manually mark or automatically analyze the spatial position corresponding to each type of data);

[0058] For example, a tunnel geological sketch was used to extract the relative positions of fracture traces on the sketch. Then, through spatial coordinate transformation, the traces on the planar unfolded sketch were reconverted into fracture traces in three-dimensional space.

[0059] Step 3.3: Group the fracture information obtained from the geological sketch map into dominant groups, and collect statistics on the fracture group's occurrence, width, size, filling status, and other data to obtain the corresponding relationship between the fracture network attribute value and the spatial coordinates;

[0060] Step 4: Using the spatial coordinate system and data structure that are unified with the construction data, create a geological data import interface and import the geological data generated in step 3 into the cloud database;

[0061] Step 5: Based on a unified engineering coordinate system and unified data structure, grouting construction data and geological data can be easily compared to guide construction, such as estimating construction unit quantities using geological data, reporting abnormal grouting quantities, and estimating anti-seepage effects.

[0062]

[0063] Among them, G is the estimated ash injection rate, ω i is the average opening of the i-th crack, N is the number of cracks, γ is the correction coefficient, α and β are empirical parameters of rock permeability, which need to be determined by on-site grouting tests according to different geological conditions.

[0064] The beneficial effects of the present invention are as follows:

[0065] This method uses a unified engineering coordinate system and unifies construction and geological data to achieve a unified grouting project data platform. Compared with the data processing platforms of traditional intelligent grouting systems, this method significantly improves on the data processing platform by incorporating and integrating geological data from grouting projects, enabling dynamic and large-scale analysis of grouting project construction process data.

[0066] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0067] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A grouting engineering data management method integrating construction and geological data, characterized in that: include: Deploy an intelligent grouting system at the target location, automatically collect grouting construction data through sensors, and transmit it to the cloud database in real time; Based on the relational database structure, the grouting construction data is parsed, and the global coordinates and local relative coordinates of each construction level are calibrated according to the unified engineering coordinate system; Parsing geological data to convert images and textual data in the geological data into standardized geological data associated with spatial locations; the geological data includes geological cross-sections and tunnel geological sketches; Importing the standardized geological data into a cloud database through a unified spatial coordinate system and data structure, so that the cloud database and the construction data form a unified database; Based on the unified database, spatial matching and fusion analysis of construction data and geological data are achieved, and a grouting geological model is generated to guide construction decisions.

2. The grouting engineering data management method integrating construction and geological data according to claim 1 is characterized in that: Deploy the intelligent grouting system at the target location, automatically collect grouting construction data through sensors, and transmit it to the cloud database in real time, including: A host computer is deployed on each of the intelligent grouting devices, and groundwater, inclination measurement, punching, water pressure and grouting data are collected in real time through the sensors to form the grouting construction data; Transmitting the grouting construction data to a relay node via a local area network; The relay node data is transmitted to the on-site data center via the local area network and synchronized to the cloud database.

3. The grouting engineering data management method integrating construction and geological data according to claim 1 is characterized in that: Analyze the geological data to convert the images and textual data in the geological data into standardized geological data associated with spatial locations, including: For geological profiles, we extract stratum numbers, control point coordinates, profile fracture traces, and geological drill hole data through a combination of manual analysis and artificial intelligence. For the tunnel geological sketch, the plane position of the cross-section fracture trace is extracted by using automatic image recognition technology, and the plane position is converted into a three-dimensional fracture trace in three-dimensional space by spatial coordinate transformation; The three-dimensional fracture traces are grouped into dominant groups, and the occurrence, width, size and filling of the fracture groups are counted to generate fracture network attribute data corresponding to the spatial coordinates; The stratum number, the control point coordinates, the three-dimensional fracture trace, the geological drilling data and the fracture network attribute data are determined as the normalized geological data.

4. The grouting engineering data management method integrating construction and geological data according to claim 3 is characterized in that: The stratum number and the control point coordinates are manually imported, and the profile fracture trace and the geological drilling data are obtained through map recognition.

5. The grouting engineering data management method integrating construction and geological data according to claim 3 is characterized in that: The automatic image recognition technology is to identify and extract the geometric characteristics and spatial distribution information of the cross-section fracture traces by parsing the tunnel geological sketch in CAD format.

6. The grouting engineering data management method integrating construction and geological data according to claim 1 is characterized in that: The fusion analysis is to compare the cement injection rate of the construction unit with the geological permeability and fracture density data of the corresponding area through spatial coordinate matching; the cement injection rate estimation formula is: Where G is the estimated ash injection rate, ω i is the average opening of the i-th crack, N is the number of cracks, γ is the correction coefficient, α and β are the empirical parameters of rock permeability, which are given by field grouting tests according to different geological conditions.

7. The grouting engineering data management method integrating construction and geological data according to claim 1 is characterized in that: The unified engineering coordinate system is constructed based on the BIM or BIM+GIS platform, and the components at each level of the grouting project are uniquely identified through the WBS coding system.

8. The grouting engineering data management method integrating construction and geological data according to claim 1 is characterized in that: The cloud database supports real-time updating, dynamic query and generation of abnormal reports of construction data and geological data.

9. The grouting engineering data management method integrating construction and geological data according to claim 8 is characterized in that: The abnormal report generation includes an early warning of abnormal grouting volume and an estimation of the anti-seepage effect.

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