A data processing method and system based on a digital management platform

Abstract

The application is suitable for the technical field of data processing, and provides a data processing method and system based on a digital management platform. The method comprises the following steps: obtaining real-time monitoring data sets of a target construction site; generating analysis result information sets based on the real-time monitoring data sets; and sending the real-time monitoring data sets and the analysis result information sets to a specified terminal. The application can break through the data barriers among progress, safety and cost, establish a real-time linkage closed-loop management mechanism, realize the paradigm shift from traditional post-repair to pre-warning and intervention, effectively improve the execution compliance level of process-level plans, improve the response speed to seconds, significantly enhance the compliance guarantee capability of high-risk links such as high-altitude operation, realize fine deviation analysis of process-level cost, reduce the probability of safety accidents, avoid hidden losses caused by shutdown and compensation, and produce quantifiable economic benefits and safety guarantee value.

Description

Technical Field

[0001] This application relates to the field of data processing technology, and more specifically, to a data processing method and system based on a digital management platform. Background Technology

[0002] Currently, construction project management generally adopts a separate information system, which can be divided into a schedule management module, a safety management module, and a cost management module. Schedule management relies on tools such as Project and Excel for manual entry and weekly / monthly summaries, while safety management mainly relies on safety officers' regular inspections and paper records, and cost management relies on the finance department's post-event accounting.

[0003] Currently, manual data entry results in data update delays of more than 12 hours. Regular inspections and paper records have blind spots and response delays in dynamic risk scenarios such as high-altitude operations. Post-event accounting cannot be linked with real-time progress and safety incidents. The data in the three modules are isolated and unconnected, forming "data silos." This can easily lead to a vicious cycle of low management efficiency, frequent safety accidents, and uncontrolled costs, and has low reliability issues, which need further improvement. Summary of the Invention

[0004] Based on this, embodiments of this application provide a data processing method and system based on a digital management platform to solve the problem of low reliability in the prior art.

[0005] In a first aspect, embodiments of this application provide a data processing method based on a digital management platform, the method comprising:

[0006] Obtain real-time monitoring dataset of the target construction site; Based on the real-time monitoring dataset, an analysis result information set is generated; Send the real-time monitoring dataset and analysis results information set to the designated terminal.

[0007] Compared with the prior art, the beneficial effects are as follows: The data processing method based on the digital management platform provided in this application embodiment allows the terminal device to first obtain the real-time monitoring dataset of the target construction site, then accurately generate the analysis result information set based on the real-time monitoring dataset, and finally send the real-time monitoring dataset and the analysis result information set to the designated terminal, thereby effectively coupling the data between the progress module, safety module and cost module, greatly improving reliability, and solving the problem of low reliability to a certain extent.

[0008] Secondly, embodiments of this application provide a data processing system based on a digital management platform, the system comprising: Real-time monitoring dataset acquisition module: used to acquire real-time monitoring datasets of the target construction site; Analysis result information set generation module: used to generate an analysis result information set based on the real-time monitoring dataset; Real-time monitoring dataset sending module: used to send the real-time monitoring dataset and analysis result information set to the designated terminal.

[0009] Thirdly, embodiments of this application provide a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described in the first aspect above.

[0010] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in the first aspect above.

[0011] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.

[0013] Figure 1 This is a schematic flowchart of a data processing method provided in an embodiment of this application; Figure 2 This is a first schematic diagram of a digital management platform provided in an embodiment of this application; Figure 3 This is a second schematic diagram of a digital management platform provided in an embodiment of this application; Figure 4 This is a third schematic diagram of a digital management platform provided in an embodiment of this application; Figure 5 This is a fourth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 6 This is a fifth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 7 This is a sixth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 8 This is a seventh schematic diagram of a digital management platform provided in an embodiment of this application; Figure 9 This is the eighth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 10 This is the ninth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 11 This is the tenth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 12 This is the eleventh schematic diagram of a digital management platform provided in an embodiment of this application; Figure 13 This is the twelfth schematic diagram of a digital management platform provided in an embodiment of this application; Figure 14 This is a flowchart illustrating step S200 in a data processing method provided in an embodiment of this application; Figure 15 This is a flowchart illustrating the process after step S300 in a data processing method provided in an embodiment of this application; Figure 16 This is a flowchart illustrating the process after step S330 in a data processing method provided in an embodiment of this application; Figure 17 This is a block diagram of a data processing system provided in one embodiment of this application; Figure 18 This is a schematic diagram of a terminal device provided in an embodiment of this application. Detailed Implementation

[0014] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0015] In the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0016] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0017] To illustrate the technical solution described in this application, specific embodiments are provided below.

[0018] Please see Figure 1 , Figure 1 This is a flowchart illustrating the data processing method based on a digital management platform provided in this application embodiment. In this embodiment, the execution subject of the data processing method is a terminal device. It is understood that the types of terminal devices include, but are not limited to, mobile phones, tablets, laptops, Ultra-Mobile Personal Computers (UMPCs), netbooks, Personal Digital Assistants (PDAs), etc. This application embodiment does not impose any restrictions on the specific type of terminal device.

[0019] Please see Figure 1 The data processing method provided in this application includes, but is not limited to, the following steps: In S100, obtain the real-time monitoring dataset of the target construction site.

[0020] Specifically, the terminal device can first acquire the real-time monitoring dataset of the target construction site. The real-time monitoring dataset includes real-time progress data subsets, real-time cost data subsets, and real-time safety data subsets. The real-time progress data subsets describe the data set related to progress management, the real-time cost data subsets describe the data set related to cost management, and the real-time safety data subsets describe the data set related to safety management.

[0021] For example, please refer to Figure 2 The real-time progress data subset includes current overall progress completion rate, current number of delayed work items, number of work items completed this week, and current resource matching degree. Specifically, the current overall progress completion rate describes the current overall progress completion rate of the target construction site; the current number of delayed work items describes the current number of delayed work items at the target construction site; the number of work items completed this week describes the number of work items completed at the target construction site this week; and the current resource matching degree describes the current resource matching degree of the target construction site. In one possible implementation, please refer to... Figures 3 to 5 The real-time progress data subset can also include more data related to progress management.

[0022] For example, please refer to Figure 6The real-time cost data subset includes current cumulative cost information, current budget execution rate information, current material cost percentage information, and current cost deviation warning quantity information. Specifically, the current cumulative cost information describes the current cumulative cost at the target construction site; the current budget execution rate information describes the current budget execution rate at the target construction site; the current material cost percentage information describes the current material cost percentage at the target construction site; and the current cost deviation warning quantity information describes the current number of cost deviation warnings at the target construction site. In one possible implementation, please refer to [link / reference]. Figures 7 to 9 The real-time cost data subset can also include more cost management data.

[0023] For example, please refer to Figure 10 The real-time safety data subset includes current safety rope wearing compliance rate information, current number of times safety ropes are not worn, current total number of safety hazards in high-altitude operations, and current hazard handling completion rate information. The current safety rope wearing compliance rate information describes the current safety rope wearing compliance rate at the target construction site; the current number of times safety ropes are not worn describes the current number of times safety ropes are not worn at the target construction site; the current total number of safety hazards in high-altitude operations describes the current total number of safety hazards in high-altitude operations at the target construction site; and the current hazard handling completion rate describes the current hazard handling completion rate at the target construction site. In one possible implementation, please refer to... Figures 11 to 13 The real-time security data subset can also include more data related to security management.

[0024] In some possible implementations, in order to improve the data analysis efficiency of operations and maintenance personnel, the method may include, but is not limited to, the following steps before step S100: In S101, retrieve the historical monitoring dataset.

[0025] Specifically, after the terminal device obtains the real-time monitoring dataset, the terminal device can obtain the historical monitoring dataset, which includes a subset of historical progress data, a subset of historical cost data, and a subset of historical security data.

[0026] Specifically, the historical progress data subset includes last week's progress completion rate, yesterday's number of delayed procedures, last week's number of completed procedures, and last week's resource matching degree. Among them, last week's progress completion rate describes the overall progress completion rate of the target construction site last week, yesterday's number of delayed procedures describes the number of delayed procedures at the target construction site yesterday, last week's number of completed procedures describes the number of completed procedures at the target construction site last week, and last week's resource matching degree describes the resource matching degree of the target construction site last week.

[0027] Specifically, the historical cost data subset includes planned cumulative cost information, last week's budget execution rate information, last month's material cost ratio information, and yesterday's cost deviation warning number information. Among them, the planned cumulative cost information describes the planned cumulative cost of the target construction site, the last week's budget execution rate information describes the budget execution rate of the target construction site last week, the last month's material cost ratio information describes the material cost ratio of the target construction site last month, and yesterday's cost deviation warning number information describes the number of cost deviation warnings issued by the target construction site yesterday.

[0028] Specifically, the historical safety data subset includes last week's safety rope wearing compliance rate, yesterday's number of times safety ropes were not worn, last week's total number of high-altitude work safety hazards, and last week's hazard handling completion rate. Among them, last week's safety rope wearing compliance rate describes the safety rope wearing compliance rate at the target construction site last week, yesterday's number of times safety ropes were not worn describes the number of times safety ropes were not worn at the target construction site yesterday, last week's total number of high-altitude work safety hazards describes the total number of high-altitude work safety hazards at the target construction site last week, and the current hazard handling completion rate describes the hazard handling completion rate at the target construction site last week.

[0029] In S200, an analysis result information set is generated based on the real-time monitoring dataset.

[0030] Specifically, after the terminal device acquires the real-time monitoring dataset, it can accurately generate an analysis result information set based on the real-time monitoring dataset, thereby achieving in-depth analysis of the core data. The analysis result information set includes a subset of progress results, a subset of cost results, and a subset of safety results.

[0031] Specifically, the progress-related subset of results includes changes in progress completion rate, changes in the number of delayed processes, changes in the number of completed processes, and changes in matching degree. The cost-related subset of results includes changes in cost, changes in execution rate, changes in cost percentage, and changes in the number of warnings. The safety-related subset of results includes changes in compliance rate, changes in the number of safety rope uses, changes in safety hazard information, and changes in completion rate.

[0032] In some possible implementations, to generate an analysis results information set, please refer to [link / reference]. Figure 14 Step S200 includes, but is not limited to, the following steps: In S210, based on the progress completion rate information of last week and the current total progress completion rate information, progress completion rate change value information is generated.

[0033] Specifically, the terminal device can accurately generate progress completion rate change information by subtracting the progress completion rate information from the progress completion rate information of the previous week from the current total progress completion rate information.

[0034] In S220, based on yesterday's delayed process number information and the current delayed process number information, the delayed process number change value information is generated.

[0035] Specifically, after the terminal device generates the progress completion rate change information, it can effectively generate the delay process number change information by subtracting the delay process number from the current delay process number information.

[0036] In S230, based on the number of processes completed last week and the number of processes completed this week, information on the change in the number of processes completed is generated.

[0037] Specifically, after the terminal device generates the information on the change in the number of delayed processes, it can quickly generate the information on the change in the number of completed processes based on the difference between the number of completed processes this week and the number of completed processes last week.

[0038] In S240, matching degree change information is generated based on the resource matching degree information from last week and the current resource matching degree information.

[0039] Specifically, after the terminal device generates the change value information of the number of completed processes, the terminal device can quickly generate the change value information of the matching degree by subtracting the difference between the current resource matching degree information and the resource matching degree information of last week.

[0040] In S250, cost change information is generated based on current cumulative cost information and planned cumulative cost information.

[0041] Specifically, after the terminal device generates the matching degree change value information, it can effectively generate cost change value information based on the difference between the current cumulative cost information and the planned cumulative cost information.

[0042] In S260, the change in execution rate is generated based on the current budget execution rate information and the budget execution rate information from the previous week.

[0043] Specifically, after the terminal device generates cost change information, it can quickly generate execution rate change information based on the difference between the current budget execution rate information and the budget execution rate information from the previous week.

[0044] In S270, cost percentage change information is generated based on the current material cost percentage information and the material cost percentage information of the previous month.

[0045] Specifically, after the terminal device generates the execution rate change information, it can efficiently generate the cost ratio change information by subtracting the previous month's material cost ratio information from the current material cost ratio information.

[0046] In S280, based on the current cost deviation warning quantity information and the cost deviation warning quantity information from yesterday, the warning quantity change value information is generated.

[0047] Specifically, after the terminal device generates the cost percentage change information, it can effectively generate the warning quantity change information by subtracting the previous day's cost deviation warning quantity information from the current cost deviation warning quantity information.

[0048] In S290, compliance rate change information is generated based on the current safety rope wearing compliance rate information and the safety rope wearing compliance rate information from the previous week.

[0049] Specifically, after the terminal device generates the warning quantity change value information, the terminal device can quickly generate the compliance rate change value information by subtracting the safety rope wearing compliance rate information from the previous week's information from the current safety rope wearing compliance rate information.

[0050] In S291, based on the current number of times the safety rope was not worn and the number of times the safety rope was not worn yesterday, the change value of the number of times the safety rope was not worn is generated.

[0051] Specifically, after the terminal device generates the compliance rate change value information, it can effectively generate the safety rope number change value information by subtracting the number of times the safety rope was not worn yesterday from the current number of times the safety rope was not worn.

[0052] In S292, based on the current total number of safety hazards for high-altitude operations and the total number of safety hazards for high-altitude operations last week, information on the change in safety hazard values ​​is generated.

[0053] Specifically, after the terminal device generates the information on the change in the number of safety rope uses, it can effectively generate information on the change in safety hazards by subtracting the total number of safety hazards from the previous week from the current total number of safety hazards in high-altitude operations.

[0054] In S293, based on the current hazard handling completion rate information and the hazard handling completion rate information from last week, the completion rate change value information is generated.

[0055] Specifically, after the terminal device generates the safety hazard change value information, it can quickly generate the completion rate change value information by subtracting the previous week's hazard handling completion rate information from the current hazard handling completion rate information.

[0056] In S300, real-time monitoring datasets and analysis results are sent to designated terminals.

[0057] Specifically, after the terminal device generates the completion rate change information, the terminal device can monitor the dataset and analysis results information set in real time and send them to the designated terminal, thereby achieving deep integration of management dimensions, completely breaking down the data barriers between the progress module, safety module and cost module, establishing a real-time and automatic linkage response mechanism, transforming traditional post-event remediation into in-event intervention and pre-event early warning, and greatly improving reliability.

[0058] In some possible implementations, this application can adopt a "cloud-edge-thing" collaborative architecture, which consists of a platform layer, an execution and transmission layer, and a perception layer. The platform layer can serve as the core of the system, including a data hub, a BIM model engine, an AI analysis module, and a business logic engine. The platform integrates multi-source data from the perception and execution layers and drives the three core modules of progress management, safety management, and cost management to work collaboratively. The execution and transmission layer corresponds to the deployment of smart safety terminals for workers, such as mobile phones with dedicated mini-programs, which are used to report progress and receive instructions. Various sensor data and terminal data can be uploaded in real time through the 5G IoT network. The perception layer corresponds to the deployment of various IoT sensing devices in key areas of the construction site, such as high-altitude work surfaces, material storage yards, and tower cranes. The IoT sensing devices include AI vision cameras for identifying the wearing status of safety ropes, tension sensors for monitoring whether safety ropes are under load, load sensors for monitoring the operating status of tower cranes, and miniature weather stations for monitoring wind speed, temperature, and humidity.

[0059] In some possible implementations, the progress management module can use the BIM model as a carrier to decompose the overall schedule into visualized process-level nodes (such as "pouring the Nth layer beam and slab"). The actual completed amount is reported via mobile terminal, and the system automatically calculates the deviation rate between the plan and the actual progress. When the deviation rate exceeds a preset threshold (such as 5%), the progress management module automatically generates an early warning. The core of the safety management module can be an AI visual recognition unit and a sensor data acquisition unit. Through real-time analysis of video streams using an AI camera, it automatically identifies violations such as "not wearing a safety rope," and tension sensors determine whether the safety rope is effectively attached. Once a risk is identified, the safety management module triggers an audible and visual warning within 10 seconds and automatically pushes rectification instructions to the mobile terminals of relevant responsible persons through the business logic engine, forming a digital closed loop of "monitoring-early warning-dispatch-rectification-acceptance." The cost management module can connect to a cloud pricing system to import budget data. Simultaneously, it gathers real-time actual consumption data from the materials, labor, and machinery departments. The system automatically compares the budget with the actual cost by process and calculates the deviation.

[0060] In some possible implementations, the schedule management module, safety management module, and cost management module do not operate independently. Instead, they are deeply coupled and automatically triggered through the platform-level business logic engine. When the schedule management module detects a delay in a key process, the business logic engine automatically raises the safety risk level of that area and instructs the safety management module to increase the frequency of AI inspections in that area. When the safety management module issues a serious safety warning (such as a violation at height), the business logic engine can automatically send a "pause the schedule timing for this work area" instruction to the schedule management module. At the same time, the safety event and the expected rectification resources (such as manpower and materials) are automatically synchronized to the cost management module for pre-collection of costs. When the cost management module detects an abnormal overrun of material costs for a certain process, the business logic engine will send a prompt to the schedule management module to analyze whether the delay is caused by material waste or improper processes, thereby triggering optimization and adjustment of the schedule plan.

[0061] It should be noted that this application can significantly improve management efficiency and accuracy, changing progress data updates from "daily delay" to "near real-time," increasing the process-level plan compliance rate by approximately 20 percentage points. Furthermore, it transforms safety violation identification from reliance on manual inspections to AI-powered automatic monitoring, reducing response time from minutes to seconds, and increasing the high-altitude operation safety compliance rate to over 95%. It also changes cost accounting from "monthly summaries" to "dynamic tracking," enabling real-time deviation analysis of process-level costs, keeping the deviation rate within ±5%. Additionally, it reduces material waste, machinery idleness, and labor shortages. In application cases, it has achieved direct cost savings exceeding 50,000 yuan per month. Moreover, through proactive early warning and closed-loop management, it effectively reduces the accident rate, avoiding huge downtime losses and compensation costs due to accidents.

[0062] It should be noted that the overall architecture of the 3D linkage management system of this application, especially the hardware and software combination based on the "cloud-edge-thing" architecture, enables real-time acquisition of progress, safety, and cost data and coupling with business logic. This application also has a linkage control mechanism for progress and safety. When a progress deviation is triggered, the system automatically adjusts the safety monitoring strategy and issues an early warning. When a safety incident occurs, the system automatically intervenes in the progress process and initiates cost collection. It also includes a real-time cost accounting method for process levels based on BIM and IoT, which binds the budgeted cost to BIM model components and collects actual consumption data in real time through sensors and terminals to achieve dynamic comparison and early warning. This application also integrates an AI vision and intelligent sensor-based proactive perception and closed-loop handling system for safety risks, including specific equipment deployment schemes, recognition algorithms, and business processes.

[0063] In some possible implementations, to facilitate the timely identification of security risks, please refer to [link / reference needed]. Figure 15 After step S300, the method further includes, but is not limited to, the following steps: In S310, the preset safety rope attachment point height information is obtained, and the personnel's location height information is obtained based on the preset barometer.

[0064] Specifically, after the terminal device sends the real-time monitoring dataset and analysis result information set, the terminal device can obtain the preset safety rope attachment point height information. At the same time, based on the preset barometer, it can obtain the personnel's location height information. The safety rope attachment point height information is used to describe the location height of the safety rope attachment point. The safety rope attachment point height information can be measured in advance by the safety officer and then entered into the preset database. The personnel's location height information can be collected by the barometer worn on the waist of the high-altitude worker. The personnel's location height information is used to describe the height of the high-altitude worker.

[0065] In S320, the height information of the safety rope attachment point is compared with the height information of the personnel's location.

[0066] Specifically, after the terminal device obtains the height information of the person's location, it can compare the height information of the safety rope attachment point with the height information of the person's location.

[0067] In S330, if the height of the safety rope attachment point is lower than the height of the person's location, a hazard warning message will be generated.

[0068] Specifically, if the height of the safety rope attachment point is lower than the height of the person's location, it indicates a situation of low attachment and high use, meaning the safety rope's anchor point is lower than the worker's waist. Therefore, the terminal device can generate a hazard warning message, which is used to indicate the existence of a safety hazard.

[0069] In some possible implementations, to further enhance overall operational safety, please refer to [link / reference needed]. Figure 16 After step S330, the method further includes, but is not limited to, the following steps: In S340, the location information of the target hazard is obtained based on the hazard warning information.

[0070] Specifically, after the terminal device generates a hazard warning message, the terminal device can obtain the target hazard location information based on the hazard warning message. The target hazard location information is the safety rope attachment point location information, which is associated with the safety rope attachment point height information.

[0071] For example, the terminal device can first determine the safety rope attachment point location information associated with the safety rope attachment point height information, and then determine the safety rope attachment point location information as the target hazard location information.

[0072] In S350, associated area information is generated based on the target hazard location information and the preset associated range value information.

[0073] Specifically, after the terminal device obtains the target hazard location information, it can effectively generate associated area information based on the target hazard location information and the preset associated range value information. The associated area information describes a spherical area formed by the target hazard location information as the center and the associated range value information as the radius.

[0074] In S360, it is determined whether a specified number of other potential hazard locations exist within the associated area information.

[0075] Specifically, after the terminal device generates the associated area information, the terminal device can determine whether there is a specified number of other hazard location information within the associated area information. The other hazard location information is used to describe the safety rope attachment point location information corresponding to other hazard warning information within the associated area information.

[0076] In S370, if a specified number of other hidden danger location information exists within the associated area information, then core hidden danger area information is generated.

[0077] Specifically, if a specified number of other potential hazard locations exist within the associated area information, it indicates that there are multiple safety hazards in that area. Therefore, the terminal device can generate core hazard area information. The specific number of other potential hazard locations can be predefined, such as 6 or more. Core hazard area information is used to describe high-risk areas that require special attention.

[0078] The implementation principle of the data processing method based on the digital management platform in this application embodiment is as follows: the terminal device can first obtain the real-time monitoring dataset of the target construction site, then accurately generate the analysis result information set based on the real-time monitoring dataset, and finally send the real-time monitoring dataset and the analysis result information set to the designated terminal, thereby effectively coupling the data between the progress module, safety module and cost module, and greatly improving reliability.

[0079] It should be noted that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0080] Embodiments of this application also provide a data processing system based on a digital management platform. For ease of explanation, only the parts relevant to this application are shown, such as... Figure 17 As shown, the system 170 includes: Real-time monitoring dataset acquisition module 171: Used to acquire real-time monitoring datasets of the target construction site; Analysis Result Information Set Generation Module 172: Used to generate an analysis result information set based on a real-time monitoring dataset; Real-time monitoring dataset sending module 173: Used to send real-time monitoring datasets and analysis result information sets to a specified terminal.

[0081] Optionally, the real-time monitoring dataset includes subsets of real-time progress data, real-time cost data, and real-time safety data. The real-time progress data subset includes information on the current overall progress completion rate, the number of currently delayed work processes, the number of work processes completed this week, and the current resource matching degree. The real-time cost data subset includes information on the current cumulative cost, the current budget execution rate, the current material cost ratio, and the number of current cost deviation warnings. The real-time safety data subset includes information on the current safety rope wearing compliance rate, the current number of times safety ropes were not worn, the current total number of safety hazards in high-altitude operations, and the current hazard handling completion rate. The system 170 also includes: Historical monitoring dataset acquisition module: Used to acquire historical monitoring datasets, which include subsets of historical progress data, subsets of historical cost data, and subsets of historical safety data. The historical progress data subset includes information on last week's progress completion rate, yesterday's number of delayed processes, last week's number of completed processes, and last week's resource matching degree. The historical cost data subset includes information on planned cumulative costs, last week's budget execution rate, last month's material cost ratio, and yesterday's number of cost deviation warnings. The historical safety data subset includes information on last week's safety rope wearing compliance rate, yesterday's number of times safety ropes were not worn, last week's total number of high-altitude operation safety hazards, and last week's hazard handling completion rate.

[0082] Optionally, the analysis result information set includes a subset of schedule results, a subset of cost results, and a subset of safety results. The schedule result subset includes information on changes in schedule completion rate, changes in the number of delayed processes, changes in the number of completed processes, and changes in matching degree. The cost result subset includes information on changes in cost, changes in execution rate, changes in cost percentage, and changes in the number of warnings. The safety result subset includes information on changes in compliance rate, changes in the number of safety rope uses, changes in safety hazards, and changes in completion rate. The above analysis result information set generation module 172 includes: The progress completion rate change value generation submodule is used to generate progress completion rate change value information based on the progress completion rate information of last week and the current total progress completion rate information. The submodule for generating information on changes in the number of delayed processes is used to generate information on changes in the number of delayed processes based on yesterday's information on the number of delayed processes and the current information on the number of delayed processes. The submodule for generating information on changes in the number of completed processes is used to generate information on changes in the number of completed processes based on the information on the number of completed processes last week and this week. Matching degree change value generation submodule: used to generate matching degree change value information based on the resource matching degree information of last week and the current resource matching degree information; Cost Change Value Generation Submodule: Used to generate cost change value information based on current cumulative cost information and planned cumulative cost information; The execution rate change value generation submodule is used to generate execution rate change value information based on the current budget execution rate information and the budget execution rate information of last week. Cost percentage change information generation submodule: used to generate cost percentage change information based on the current material cost percentage information and the material cost percentage information of the previous month; Warning quantity change value generation submodule: used to generate warning quantity change value information based on the current cost deviation warning quantity information and yesterday's cost deviation warning quantity information; The compliance rate change value generation submodule is used to generate compliance rate change value information based on the current safety rope wearing compliance rate information and the safety rope wearing compliance rate information of last week. Safety rope count change information generation submodule: used to generate safety rope count change information based on the current number of times the safety rope was not worn and the number of times the safety rope was not worn yesterday; Safety Hazard Change Value Generation Submodule: This module generates safety hazard change value information based on the current total number of safety hazards for high-altitude operations and the total number of safety hazards for high-altitude operations last week. The completion rate change value generation submodule is used to generate completion rate change value information based on the current hazard handling completion rate information and the hazard handling completion rate information of last week.

[0083] Optionally, the system 170 also includes: Safety rope attachment point height information acquisition module: used to acquire preset safety rope attachment point height information, and based on a preset barometer, acquire the personnel's location height information; Safety rope attachment point height information comparison module: used to compare the safety rope attachment point height information with the personnel's location height information; Hazard warning information generation module: This module generates a hazard warning message if the height of the safety rope attachment point is lower than the height of the person's location.

[0084] Optionally, the system 170 also includes: The target hazard location information acquisition module is used to acquire the target hazard location information based on the hazard warning information. The target hazard location information is the safety rope attachment point location information, which is associated with the safety rope attachment point height information. The associated area information generation module is used to generate associated area information based on the target hazard location information and the preset associated range value information. The associated area information describes a spherical area formed by the target hazard location information as the center and the associated range value information as the radius. Other Hazard Location Information Judgment Module: Used to determine whether a specified number of other hazard location information exist within the associated area information; Core Hazard Area Information Generation Module: This module generates core hazard area information if a specified number of other hazard locations exist within the associated area information.

[0085] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0086] This application also provides a terminal device, such as... Figure 18 As shown, the terminal device 180 of this embodiment includes: a processor 181, a memory 182, and a computer program 183 stored in the memory 182 and executable on the processor 181. When the processor 181 executes the computer program 183, it implements the steps described in the above data processing method embodiment, for example... Figure 1 Steps S100 to S300 are shown; or, when processor 181 executes computer program 183, it implements the functions of each module in the above-described device, for example... Figure 17 The functions of modules 171 to 173 are shown.

[0087] The terminal device 180 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The terminal device 180 includes, but is not limited to, a processor 181 and a memory 182. Those skilled in the art will understand that... Figure 18 This is merely an example of terminal device 180 and does not constitute a limitation on terminal device 180. It may include more or fewer components than shown, or combine certain components, or different components. For example, terminal device 180 may also include input / output devices, network access devices, buses, etc.

[0088] The processor 181 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.; the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0089] The memory 182 can be an internal storage unit of the terminal device 180, such as the hard disk or memory of the terminal device 180. The memory 182 can also be an external storage device of the terminal device 180, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device 180. Furthermore, the memory 182 can include both internal storage units and external storage devices of the terminal device 180. The memory 182 can also store computer program 183 and other programs and data required by the terminal device 180. The memory 182 can also be used to temporarily store data that has been output or will be output.

[0090] One embodiment of this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0091] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the methods, principles and structures of this application should be covered within the scope of protection of this application.

Claims

1. A data processing method based on a digital management platform, characterized in that, The method includes: Obtain real-time monitoring dataset of the target construction site; Based on the real-time monitoring dataset, an analysis result information set is generated; Send the real-time monitoring dataset and analysis results information set to the designated terminal.

2. The method according to claim 1, characterized in that, The real-time monitoring dataset includes real-time progress data subsets, real-time cost data subsets, and real-time safety data subsets. The real-time progress data subsets include current total progress completion rate, current number of delayed processes, number of processes completed this week, and current resource matching degree. The real-time cost data subsets include current cumulative cost, current budget execution rate, current material cost ratio, and current number of cost deviation warnings. The real-time safety data subsets include current safety rope wearing compliance rate, current number of times safety ropes were not worn, current total number of high-altitude operation safety hazards, and current hazard handling completion rate. Before acquiring the real-time monitoring dataset of the target construction site, the method further includes: Obtain historical monitoring datasets, which include subsets of historical progress data, subsets of historical cost data, and subsets of historical safety data. The historical progress data subsets include last week's progress completion rate, yesterday's number of delayed processes, last week's number of completed processes, and last week's resource matching degree. The historical cost data subsets include planned cumulative cost information, last week's budget execution rate, last month's material cost ratio, and yesterday's number of cost deviation warnings. The historical safety data subsets include last week's safety rope wearing compliance rate, yesterday's number of times safety ropes were not worn, last week's total number of high-altitude operation safety hazards, and last week's hazard handling completion rate.

3. The method according to claim 2, characterized in that, The analysis results information set includes a subset of progress results, a subset of cost results, and a subset of safety results. The progress results subset includes information on changes in progress completion rate, changes in the number of delayed processes, changes in the number of completed processes, and changes in matching degree. The cost results subset includes information on changes in cost, changes in execution rate, changes in cost percentage, and changes in the number of warnings. The safety results subset includes information on changes in compliance rate, changes in the number of safety rope uses, changes in safety hazards, and changes in completion rate. The generation of an analysis result information set based on the real-time monitoring dataset includes: Based on the progress completion rate information from last week and the current total progress completion rate information, the progress completion rate change value information is generated; Based on the information on the number of delayed processes yesterday and the information on the number of delayed processes currently, the information on the change in the number of delayed processes is generated; Based on the information on the number of processes completed last week and the information on the number of processes completed this week, the change value information of the number of processes completed is generated; Based on the resource matching information from last week and the current resource matching information, the matching degree change value information is generated; Based on the current cumulative cost information and the planned cumulative cost information, the cost change value information is generated; Based on the current budget execution rate information and the budget execution rate information from last week, the execution rate change value information is generated; Based on the current material cost percentage information and the material cost percentage information of the previous month, generate cost percentage change information; Based on the current cost deviation warning quantity information and the cost deviation warning quantity information from yesterday, the warning quantity change value information is generated; Based on the current safety rope wearing compliance rate information and the safety rope wearing compliance rate information from last week, generate compliance rate change value information; Based on the current number of times the safety rope was not worn and the number of times the safety rope was not worn yesterday, a change value for the number of times the safety rope was not worn is generated; Based on the current total number of safety hazards for high-altitude operations and the total number of safety hazards for high-altitude operations last week, generate safety hazard change value information; Based on the current hazard handling completion rate information and the hazard handling completion rate information from last week, the completion rate change value information is generated.

4. The method according to claim 1, characterized in that, After sending the real-time monitoring dataset and analysis result information set to the designated terminal, the method further includes: Obtain the preset safety rope attachment point height information, and based on the preset barometer, obtain the personnel's location height information; Compare the height information of the safety rope attachment point with the height information of the personnel's location; If the height of the safety rope attachment point is lower than the height of the person's location, a hazard warning message will be generated.

5. The method according to claim 4, characterized in that, After generating a hazard warning message if the height of the safety rope attachment point is lower than the height of the person's location, the method further includes: Based on the hazard warning information, the target hazard location information is obtained, wherein the target hazard location information is the safety rope attachment point location information, and the safety rope attachment point location information is associated with the safety rope attachment point height information; Based on the target hazard location information and the preset association range value information, association area information is generated, wherein the association area information is used to describe a spherical area formed by taking the target hazard location information as the center and the association range value information as the radius; Determine whether a specified number of other potential hazard locations exist within the associated area information; If a specified number of other potential hazard locations exist within the associated area information, then core potential hazard area information is generated.

6. A data processing system based on a digital management platform, characterized in that, The system includes: Real-time monitoring dataset acquisition module: used to acquire real-time monitoring datasets of the target construction site; Analysis result information set generation module: used to generate an analysis result information set based on the real-time monitoring dataset; Real-time monitoring dataset sending module: used to send the real-time monitoring dataset and analysis result information set to the designated terminal.

7. The system according to claim 6, characterized in that, The system also includes: Safety rope attachment point height information acquisition module: used to acquire preset safety rope attachment point height information, and based on a preset barometer, acquire the height information of the personnel's location; Safety rope attachment point height information comparison module: used to compare the safety rope attachment point height information with the personnel's location height information; Hazard warning information generation module: This module generates a hazard warning message if the height of the safety rope attachment point is lower than the height of the person's location.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 5.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5.

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