Soil full life cycle traceability method

Abstract

The invention discloses a soil full-life-cycle traceability method, which comprises the steps of collecting initial construction data, extracting information from the initial construction data, generating a digital label, transmitting beacon data in real time by beacon transmitting equipment put in a site in a soil remediation project, and updating the digital label in real time in combination with the beacon data. And displaying the earthwork dynamic state and the construction progress. According to the soil full life cycle traceability method provided by the invention, multi-source data is screened and integrated, data cleaning, mining, integration, conversion and other means are utilized to standardize and uniformly process the data, earthwork digital tags are automatically generated, corresponding earthwork is bound through active transmitting beacon equipment, link between the digital tags and actual earthwork is realized, and the traceability of the soil full life cycle is realized. And the full-life-cycle traceability work of the soil in site repair construction is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of digital platforms, and in particular to a soil full life cycle traceability method. Background Art

[0002] With the rapid development of the Internet and intelligent platforms, network digital technology has been widely accepted and deployed in the actual business of environmental protection projects, such as digital archive management platforms and real-time online monitoring management in the site remediation industry. As an important part of the construction of ecological environment informatization, soil environment informatization is an important measure to improve the level of ecological environment management and the digital transformation of ecological environment governance. Network digital management technology relies on its fast retrieval and query functions, timely information synchronization updates, automatic data statistical analysis and other characteristics, perfectly making up for the shortcomings of paper record management technology and greatly improving the efficiency of project management.

[0003] Limited by multiple factors such as the underground hydrogeological conditions of the plots and the heterogeneous characteristics of the soil, it is difficult to truly and comprehensively reflect the entire process of remediation of the contaminated plots based on data from limited sampling points. On the one hand, the remediation area of ​​the contaminated plots is large, and a large amount of earthwork needs to be disposed of, making it difficult to provide adequate human supervision. At the same time, contaminated soil has certain hazards, involving organic pollutants, fluorides, lead, zinc, copper and other types of pollutants, which are very likely to cause secondary pollution. It is necessary to supervise the safety and environmental quality of the soil remediation process according to high standards and strict requirements. On the other hand, the procedures for the soil and groundwater remediation projects are complex and highly specialized. Traditional manual inspection and supervision methods are difficult to effectively supervise and manage the construction process, and there are problems such as opaque processes, inadequate supervision, and difficulty in tracing accidents.

[0004] Therefore, how to grasp the actual construction progress and results of soil remediation projects in real time and realize accurate traceability of earthwork is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In order to address the shortcomings of the prior art, the present invention provides a soil full life cycle traceability method, which screens and integrates multi-source data, standardizes and uniformly processes the data by means of data cleaning, mining, integration, conversion, etc., automatically generates earthwork digital labels, and binds the corresponding earthwork by actively transmitting beacon equipment to achieve the link between digital labels and actual earthwork, thereby facilitating the soil full life cycle traceability work in site remediation construction.

[0006] The embodiment of the present invention provides the following solution:

[0007] An embodiment of the present invention provides a soil life cycle traceability method, the method comprising:

[0008] S1. Collect initial construction data, including the project quantity data uploaded by the operator and the construction log data obtained by the site Internet of Things devices.

[0009] S2. Extract information from the initial construction data to generate digital tags, including foundation pit digital tags, excavated soil digital tags, repaired soil digital tags, soil acceptance digital tags, and soil disposal digital tags. Each digital tag is stored in the foundation pit information database, soil excavation database, soil repair database, soil acceptance database, and soil disposal database respectively.

[0010] S3. During the soil remediation project, the beacon transmitting devices placed on the site send beacon data in real time, and the digital tags are updated in real time in combination with the beacon data to display the soil dynamics and construction progress.

[0011] In an optional embodiment, the process of updating the digital tags in real time in combination with the beacon data in step S3 specifically includes the following steps:

[0012] S3.1. For each beacon data, in the initial stage of the soil project, update the beacon data to the soil excavation database, update the excavated soil digital tag according to the beacon data, and calculate the current coordinate value as the initial stage coordinate.

[0013] S3.2. Calculate the displacement value from the initial stage coordinate according to the real-time beacon data. When the displacement exceeds the preset displacement range, further determine whether the displacement conforms to the coordinate range of the next processing flow. If so, enter step S3.3; otherwise, an abnormal alarm is issued.

[0014] S3.3. Update the beacon data to the soil repair database, update the repaired soil digital tag according to the beacon data, and calculate the current coordinate as the second stage coordinate.

[0015] S3.4. Calculate the displacement value from the second stage coordinate according to the real-time beacon data. When the displacement exceeds the preset displacement range, further determine whether the displacement conforms to the coordinate range of the next processing flow. If so, enter step S3.5; otherwise, an abnormal alarm is issued.

[0016] S3.5. Update the beacon data to the soil acceptance database, update the soil acceptance digital tag according to the beacon data, and calculate the current coordinate as the third stage coordinate.

[0017] S3.6. Calculate the displacement value from the third stage coordinate according to the real-time beacon data. When the displacement exceeds the preset displacement range, further determine whether the displacement conforms to the coordinate range of the next processing flow. If so, enter step S3.7; otherwise, an abnormal alarm is issued.

[0018] S3.7. Update the beacon data to the soil disposal database, and update the soil disposal digital tag according to the beacon data.

[0019] In an alternative embodiment, the construction log data described in step S1 includes environmental monitoring equipment data, working condition monitoring equipment data, video monitoring equipment data, intelligent perception equipment data, BDS positioning equipment data, and digital construction log data.

[0020] In an alternative embodiment, in step S2, feature extraction and feature fusion are performed on the initial construction data through a machine deep learning algorithm. Through data cleaning, mining, integration, and transformation processing, the fused data is unified, and digital tags are generated through numbering processing.

[0021] In an alternative embodiment, the foundation pit digital tags described in step S2 include foundation pit area, excavation depth, excavated earthwork volume, contaminated earthwork volume, clean earthwork volume, pollutant type, repair technology, disposal method, planned excavation period, surveying coordinates, and aerial photo of the current situation of the foundation pit.

[0022] In an alternative embodiment, the excavated earthwork digital tags described in step S2 include excavation start time, end time, excavation depth, excavated earthwork volume, soil type, labor, machinery, and excavation photo data.

[0023] In an alternative embodiment, the repaired earthwork digital tags described in step S2 include repair start time, repair end time, repaired earthwork volume, labor, machinery, chemical dosage, repair photos, and repair site data.

[0024] In an alternative embodiment, the accepted earthwork digital tags described in step S2 include repair start time, repair end time, repaired earthwork volume, labor, machinery, chemical dosage, repair photos, and repair site data.

[0025] In an alternative embodiment, the earthwork disposal digital tags described in step S2 include inspection acceptance start time, inspection acceptance end time, accepted earthwork volume, labor, machinery, self-inspection acceptance photos, and site data.

[0026] The beneficial effects of the present invention based on its technical solution are as follows:

[0027] (1) A soil full life cycle traceability method provided by the present invention can quickly master the information related to the earthwork by assigning digital tags to the earthwork at different stages, achieving the purpose of timely traceability;

[0028] (2) A soil full life cycle traceability method provided by the present invention realizes the combination of reality and digital through soil beacon technology and special beacon analysis, making the earthwork correspond to the digital tags, supervising the whole process of soil remediation in contaminated sites, and combining with visualization technology to achieve real-time control of the whole process progress and quality of the site remediation project;

[0029] (3) The soil full life cycle traceability method provided by the present invention reduces manual filling work and improves efficiency through the Internet of Things and data synchronization technology; and the log screens and integrates multi-source data in the background by means of data extraction and stores it in the corresponding database for subsequent algorithm calls;

[0030] (4) The soil full life cycle traceability method provided by the present invention automatically stores relevant data, automatically captures and analyzes the data through machine learning algorithms, and based on the multi-source heterogeneous data technology, uses means such as data cleaning, mining, integration, and transformation to standardize and uniformly process the data, realizing the fusion of multi-source data and ensuring data security; the database has a data encryption processing function to ensure data security, prevent tampering, and avoid problems such as loss, omission, and high storage costs of paper data. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0032] Figure 1 It is a schematic flow chart of a soil full life cycle traceability method provided by the present invention.

[0033] Figure 2 It is a schematic diagram of construction log data acquisition.

[0034] Figure 3 It is a schematic flow chart of real-time updating of digital tags by combining beacon data.

[0035] Figure 4 It is a schematic diagram of the database update process. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope protected by the embodiments of the present invention.

[0037] The embodiments of the present invention provide a soil full life cycle traceability method. Referring to Figure 1 , the method includes:

[0038] S1. Collect initial construction data, including the engineering quantity data uploaded by the operator and the construction log data obtained by the site Internet of Things devices.

[0039] In this step, the operator only needs to upload the project quantity, and other data are obtained through the site Internet of Things devices to generate construction log data such as the filling personnel, operation date, weather, temperature, wind force level, site address, monitoring photos, working conditions information, construction machinery, etc., reducing manual filling work and improving efficiency.

[0040] Refer to Figure 2 , the construction log data includes environmental monitoring equipment data, working condition monitoring equipment data, video monitoring equipment data, intelligent perception equipment data, BDS positioning equipment data, and digital construction log data. The log data will be screened and integrated for multi-source data through data extraction in the background, including feature extraction, association, and feature-level fusion. Finally, the fused multi-source feature data will be stored in the corresponding database for subsequent calls.

[0041] S2. Feature extraction and feature fusion are performed on the initial construction data through machine deep learning algorithms. After data cleaning, mining, integration, and transformation processing, the fused data is unified and digital tags are generated through numbering processing.

[0042] The digital tags include foundation pit digital tags, excavated soil digital tags, repaired soil digital tags, soil acceptance digital tags, and soil disposal digital tags. Each digital tag is stored in the foundation pit information database, soil excavation database, soil repair database, soil acceptance database, and soil disposal database respectively. Among them:

[0043] Foundation pit digital tag: Extract the basic information of the polluted foundation pit according to the construction organization design plan, including: foundation pit area, excavation depth, excavated soil volume, polluted soil volume, clean soil volume, pollutant type, repair technology, disposal method, planned excavation period, surveying coordinates, and current aerial view of the foundation pit, and compile to generate the foundation pit digital tag.

[0044] Excavated soil digital tag: The excavated soil is labeled on a daily basis. The soil excavated on the same day within the same foundation pit is regarded as a whole label. The excavated soil digital tag is automatically generated by extracting the data in the excavated soil information database: excavation time, end time, excavation depth, excavated soil volume, soil type, labor, machinery, and excavation photo data. The excavated soil digital tag is divided into: polluted soil digital tag, construction waste digital tag, and clean soil digital tag.

[0045] Repair Earthwork Digital Label: By extracting data from the repair earthwork information database or the cleaned construction waste information database, including: repair start time, repair end time, repair earthwork volume, labor, machinery, chemical dosage, repair photos, and repair site data, automatically generate repair earthwork digital labels or cleaned construction waste digital labels. Since there is an initial screening step in the soil repair process, the soil will be divided into construction waste and soil to be repaired, and this information will be reflected on the repair soil digital label through the earthwork type item.

[0046] Acceptance Earthwork Digital Label: By extracting information from the acceptance earthwork information database or the acceptance construction waste information database, including: inspection start time, inspection end time, acceptance earthwork volume, labor, machinery, self-inspection acceptance photos, and site data, automatically generate acceptance earthwork digital labels or acceptance construction waste digital labels.

[0047] Earthwork Disposal Digital Label: The soil enters the effectiveness evaluation process. After passing the effectiveness evaluation process, the soil enters the backfill / hauling stage. By extracting: backfill / hauling start time, backfill / hauling end time, backfill / hauling earthwork volume, backfill foundation pit number, and backfill photos or hauling vehicle photos data, generate disposal earthwork information digital labels. If the effectiveness evaluation result of the soil is unqualified, it will re-enter the earthwork repair stage, and after filling in the relevant information, automatically generate and overlay digital labels. The acceptance and disposal in the soil repair process include three parts: repair earthwork, construction waste, and clean earth. The digital labels in the disposal stage can be divided into disposal earthwork digital labels, disposal construction waste digital labels, and disposal clean soil digital labels, and this information will be reflected on the disposal soil digital label through the earthwork type item.

[0048] S3. Set the unit earthwork volume based on the construction plan. After the earthwork excavation, mix beacon emission devices according to the unit earthwork volume. This device has the function of periodically emitting positioning signals to achieve real-time positioning of the unit earthwork. The data generated by each beacon emission device is connected to the system information database for unified storage. A certain number of beacon transmitters can be set according to the project scale to bind to the earthwork, covering all the repair earthwork in the project.

[0049] During the soil repair project, the beacon emission devices (physical beacons) placed on the site send beacon data in real time, and the digital labels are updated in real time in combination with the beacon data to display the earthwork dynamics and construction progress. Build a geographic information system model for the repair project area, divide the area according to the process flow, and establish the mapping relationship between the coordinate range and the process flow.

[0050] According to the site data, input the coordinate range into the GIS (Geographic Information System). After beacon placement and generation of digital tags, read the coordinate position information of the beacon at fixed time intervals. Clean the data through time series analysis algorithms, eliminate coordinate drift errors, and distinguish the true displacement of the beacon. Compare the beacon displacement, starting and ending coordinate positions with the process flow data and the site partition coordinate range, perform multivariate statistical analysis and data fusion, and then it can be determined whether the earthwork enters the next process as required. Update the digital tags for the compliant earthwork and send an alarm for the non-compliant earthwork.

[0051] Refer to Figure 3 , the real-time update of digital tags specifically includes the following processes:

[0052] S3.1. For each beacon data, at the initial stage of the earthwork project, update the beacon data to the earthwork excavation database, update the digital tag of the excavated earthwork according to the beacon data, and calculate the current coordinate value as the coordinate in the initial stage;

[0053] S3.2. Calculate the displacement value from the coordinate in the initial stage according to the real-time beacon data. When it exceeds the preset displacement range, further determine whether the displacement conforms to the coordinate range of the next processing flow. If so, enter step S3.3; otherwise, give an abnormal alarm.

[0054] S3.3. Update the beacon data to the earthwork repair database, update the digital tag of the repaired earthwork according to the beacon data, and calculate the current coordinate as the coordinate in the second stage;

[0055] S3.4. Calculate the displacement value from the coordinate in the second stage according to the real-time beacon data. When it exceeds the preset displacement range, further determine whether the displacement conforms to the coordinate range of the next processing flow. If so, enter step S3.5; otherwise, give an abnormal alarm.

[0056] S3.5. Update the beacon data to the earthwork acceptance database, update the digital tag of the accepted earthwork according to the beacon data, and calculate the current coordinate as the coordinate in the third stage;

[0057] S3.6. Calculate the displacement value from the coordinate in the third stage according to the real-time beacon data. When it exceeds the preset displacement range, further determine whether the displacement conforms to the coordinate range of the next processing flow. If so, enter step S3.7; otherwise, give an abnormal alarm.

[0058] S3.7. Update the beacon data to the earthwork disposal database, and update the digital tag of the earthwork disposal according to the beacon data.

[0059] Refer to Figure 4The stored procedures of each database in this embodiment. The content of the foundation pit information database mainly covers information such as the area, depth, and coordinates of the foundation pit. The database automatically identifies and extracts all relevant information from the repair plan. The foundation pits using different repair technologies are automatically classified. The remaining databases are in four different stages, namely the excavation stage, the repair stage, the acceptance stage, and the disposal stage. The information data is all extracted from the keyword data in the construction log content or the data of the site Internet of Things devices. After being imported, it is processed and analyzed by machine learning algorithms to generate specific digital tags. The content covered by the digital tags includes but is not limited to dates, earthwork volumes, quantities of labor, materials, and machinery, and on-site photos. For the earthwork or construction waste that fails the acceptance, it needs to be repaired again, and the information in the repair stage database needs to be superimposed.

[0060] Analyze the stage of the project according to the extracted digital tag information, and display the real-time progress and status of each stage of the project according to the digital tag information through visualization technology to keep track of the project progress in real time. If there are deviations, the digital tag AI can be used to interpret the tag information to achieve the purpose of tracing the stage and location where the problem appears.

[0061] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0062] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (modules, systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0063] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device implements the functions in Figure 1 one process or multiple processes and / or blocksFigure 1 The functions specified in one or more boxes.

[0064] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide for implementing the steps of the functions specified in one Figure 1 process or more processes and / or boxes Figure 1 or more boxes.

[0065] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A soil life cycle traceability method, characterized in that: The method comprises: S1. Collect initial construction data, including the engineering quantity data uploaded by the operator and the construction log data obtained by the site IoT devices; S2, extracting information from the initial construction data and generating digital labels, wherein the digital labels include foundation pit digital labels, excavation earthwork digital labels, repair earthwork digital labels, acceptance earthwork digital labels and earthwork disposal digital labels, and each digital label is stored in a foundation pit information database, an earthwork excavation database, an earthwork repair database, a soil acceptance database and an earthwork disposal database respectively; S3. During the soil remediation project, the beacon transmitting equipment placed on site sends beacon data in real time, and the digital tags are updated in real time based on the beacon data to display the earthwork dynamics and construction progress.

2. The soil life cycle traceability method according to claim 1 is characterized by: The real-time updating of the digital tag in combination with the beacon data described in step S3 specifically includes the following process: S3.

1. For each beacon data, at the initial stage of earthwork engineering, the beacon data is updated to the earthwork excavation database, the excavation earthwork digital label is updated according to the beacon data, and the current coordinate value is calculated as the initial stage coordinate; S3.2, calculate the displacement value of the initial stage coordinates according to the real-time beacon data. If it exceeds the preset displacement range, further determine whether the displacement meets the coordinate range of the next processing flow. If so, proceed to step S3.3, otherwise, an abnormal alarm is issued; S3.3, updating the beacon data to the earthwork repair database, updating and repairing the earthwork digital tags according to the beacon data, and calculating the current coordinates as the second stage coordinates; S3.4, calculate the displacement value with the second stage coordinates according to the real-time beacon data. If it exceeds the preset displacement range, further determine whether the displacement meets the coordinate range of the next processing flow. If so, proceed to step S3.5, otherwise, an abnormal alarm is issued; S3.5, updating the beacon data to the earthwork acceptance database, updating the earthwork acceptance digital label according to the beacon data, and calculating the current coordinates as the third stage coordinates; S3.6, calculate the displacement value with the third stage coordinates according to the real-time beacon data. If it exceeds the preset displacement range, further determine whether the displacement meets the coordinate range of the next processing flow. If so, proceed to step S3.7, otherwise, an abnormal alarm is issued; S3.

7. Update the beacon data to the earthwork disposal database, and update the earthwork disposal digital tag based on the beacon data.

3. The soil life cycle traceability method according to claim 1 is characterized by: The construction log data described in step S1 includes environmental monitoring equipment data, working condition monitoring equipment data, video monitoring equipment data, intelligent sensing equipment data, BDS positioning equipment data and digital construction log data.

4. The soil life cycle traceability method according to claim 1 is characterized by: Step S2 uses a machine deep learning algorithm to extract and fuse features from the initial construction data, unifies the fused data through data cleaning, mining, integration and conversion, and generates digital labels through numbering.

5. The soil life cycle traceability method according to claim 1 is characterized by: The digital label of the foundation pit described in step S2 includes the foundation pit area, excavation depth, excavation earthwork volume, contaminated earthwork volume, clean earthwork volume, pollutant type, remediation technology, disposal method, planned excavation cycle, surveying coordinates and aerial photos of the current status of the foundation pit.

6. The soil life cycle traceability method according to claim 1 is characterized by: The digital label of the excavated earthwork described in step S2 includes excavation time, end time, excavation depth, excavation volume, soil type, labor, machinery and excavation photo data.

7. The soil life cycle traceability method according to claim 1 is characterized by: The digital label of the repair earthwork described in step S2 includes the repair start time, repair end time, repair earthwork volume, labor, machinery, drug volume, repair photos and repair site data.

8. The soil life cycle traceability method according to claim 1 is characterized by: The digital label of the earthwork acceptance described in step S2 includes the repair start time, repair end time, repair earthwork volume, labor, machinery, drug dosage, repair photos and repair site data.

9. The soil life cycle traceability method according to claim 1 is characterized by: The earthwork disposal digital label described in step S2 includes the inspection and acceptance start time, inspection and acceptance end time, acceptance earthwork volume, labor, machinery, self-inspection and acceptance photos and site data.

Images