Construction management system and method based on multi-source data analysis

By analyzing the temporal logic and spatial consistency of multi-source data, the problem of fragile decision-making foundation in construction management was solved, compliance monitoring of construction progress and spatial status was achieved, and the intelligence and safety of construction management were improved.

CN121544211APending Publication Date: 2026-02-17CHINA RAILWAY GUANGZHOU ENG GRP CO LTD +1
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Patent Information

Application Number
CN202511929421.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-19
Publication Date
2026-02-17

AI Technical Summary

Technical Problem

The existing construction management and supervision system lacks in-depth verification in terms of time and space, resulting in a fragile decision-making basis and making it prone to quality and safety risks.

Method used

By introducing multi-source data analysis and using time logic verification and spatial consistency verification mechanisms, we can ensure the consistency of construction dynamic context and spatial cognition, and prevent task state transitions that do not meet the conditions.

Benefits of technology

This effectively avoids the risks of premature decision-making, improves the level of intelligence in construction management and operational safety, and reduces reliance on human experience and judgment.

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Abstract

The invention discloses a construction management system and method based on multi-source data analysis, and relates to the technical field of building construction informatization and intelligent management and control, and the method comprises the steps: capturing a front path task completion signal and a subsequent task starting instruction; obtaining preposed task completion time, a dynamic condition type and a threshold parameter; executing time logic verification based on the dynamic condition type, and judging a construction dynamic context ready state; bIM design coordinates, field positioning coordinates and space tolerance parameters of the construction machinery are obtained, and space logic verification is executed by calculating space deviation; when both the time verification and the space verification pass, subsequent task state conversion is allowed, and otherwise, blocking is carried out; and finally generating a structured report containing all verification parameters and results.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of construction informationization and intelligent management and control technology, in particular to a construction management system and method based on multi-source data analysis. BACKGROUND

[0002] In the current digital-based construction management and supervision system, automated decision-making is highly dependent on data obtained from progress plans and various sensors. However, there is a fundamental design flaw in existing technology: the supervision system often equates the "completion" status label of a task with the "data existence" of a spatial location to the "safety premise met" for decision-making.

[0003] This flaw is manifested in both time and space dimensions: In the time dimension, the supervision system is like a warehouse manager who only acts on documents. When it receives a "concrete pouring completed" status report, it immediately authorizes the subsequent "tensioning prestressed steel beam" process to start, but never checks whether the actual strength of the concrete has reached the safe tensioning standard through age growth or maintenance. This leads to a "premature" decision in time, i.e., the physical world's dynamic conditions are not ready, but the supervision system has logically determined that the task chain can be pushed forward.

[0004] In the spatial dimension, the supervision system assumes that spatial information from the BIM component library and the on-site positioning supervision system is naturally consistent and reliable. If it sees from the drawings (BIM) that a construction machinery and equipment is located at point A, and receives feedback from the positioning beacon that the equipment is at point A, it believes that the spatial information is accurate, but it cannot detect that due to coordinate system calibration errors, the two "points A" may be misaligned by tens of centimeters in the physical world. This leads to a "misalignment" decision in space, i.e., the supervision system issues instructions based on an internally consistent but actually distorted world model.

[0005] In summary, the mechanism of the existing technology, which does not deeply verify the premise of decision-making, makes the decision-making foundation fragile and vulnerable in a dynamic and complex construction environment, easily leading to hidden and major quality and safety risks.

[0006] To solve the above problems, the present application proposes a construction management and supervision system and method based on multi-source data analysis. SUMMARY

[0007] The purpose of the present application is to provide a construction management system and method based on multi-source data analysis to solve the problems in the prior art.

[0008] To achieve the above purpose, the present application provides the following technical solutions: A construction management method based on multi-source data analysis, comprising the following steps: S1, the supervisory system captures the signal that the state of the preceding path task in the construction project is changed to completed, and receives the starting instruction of the subsequent path task; S2, the supervisory system obtains the completion time of the preceding path task, the predefined dynamic condition type and the corresponding threshold parameter; S3, the supervisory system performs time logic verification based on the dynamic condition type and the threshold value, and determines whether the construction dynamic context is ready; S4, the supervisory system obtains the coordinates of the construction machinery associated with the subsequent path task in the BIM component library, the coordinates in the positioning supervisory system and the predefined spatial consistency tolerance parameter; and performs spatial logic verification according to the BIM coordinates, positioning coordinates and tolerance parameter, and determines the consistency of construction space cognition; S5, the supervisory system allows the state of the subsequent path task to be converted to start when the results of the time logic verification and the spatial logic verification are both true; if any verification result is false, the state conversion is blocked; S6, the supervisory system generates and outputs an execution result report, which records the unique identification of the construction project, the verification result and the involved parameters.

[0009] The S1 further includes the following contents: The supervisory system captures the signal that the state of the preceding path task is changed to completed by monitoring the update event of the state field in the data table of the construction project progress management database; the supervisory system is an automated data analysis system deployed on a server and realized by a software program, which is used for independent verification of the time and space logic compliance of the path task in the construction process; the update of the state field is confirmed by manual operation at the business terminal; The supervisory system receives the starting instruction for the subsequent path task by analyzing the instruction queue from the plan scheduling module; the starting instruction contains the unique identification of the subsequent path task.

[0010] S2 further includes the following contents: The supervisory system extracts the completion time recorded by the database transaction timestamp when the state of the preceding path task is changed to completed from the construction project progress management database; Then the supervisory system queries the preset task dependency rule library according to the unique identification of the construction project of the subsequent path task to obtain the dynamic condition type defined for the subsequent path task; the task dependency rule library is a structured data table, and the fields thereof include the unique identification of the subsequent path task, the dynamic condition type and the threshold parameter; the dynamic condition type is defined as time delay type, physical index type and approval state type in the rule library; The regulatory system extracts a threshold parameter bound to the dynamic condition type from a corresponding record in the task dependency rule base; when the dynamic condition type is time delay type, the threshold parameter is a numerical value representing a time length; when the dynamic condition type is physical indicator type, the threshold parameter is a numerical value representing a physical quantity target value; when the dynamic condition type is approval state type, the threshold parameter is a string representing an approval conclusion.

[0011] S3 further includes the following content: The regulatory system selects and executes corresponding verification logic according to the dynamic condition type obtained in S3; when the dynamic condition type is time delay type, the regulatory system obtains the current regulatory system time, calculates the difference between the current regulatory system time and the completion time of the preceding path task, and judges whether the difference is greater than or equal to the delay time length represented by the time delay type threshold parameter; if the judgment is true, it is determined that the construction dynamic context is ready, and the output result is true; if the judgment is not true, it is determined that the construction dynamic context is not ready, and the output result is false; When the dynamic condition type is physical indicator type, the regulatory system obtains the real-time reading of the physical quantity related to the subsequent path task from the designated Internet of Things sensor data interface, and judges whether the real-time reading is greater than or equal to the physical quantity target value represented by the physical indicator type threshold parameter; if the judgment is true, it is determined that the construction dynamic context is ready, and the output result is true; if the judgment is not true, it is determined that the construction dynamic context is not ready, and the output result is false; When the dynamic condition type is approval state type, the regulatory system obtains the current state of the approval process related to the subsequent path task from the database state field of the construction project approval management regulatory system, and judges whether the current state of the task completely matches the approval conclusion string represented by the approval state type threshold parameter; if the judgment is true, it is determined that the construction dynamic context is ready, and the output result is true; if the judgment is not true, it is determined that the construction dynamic context is not ready, and the output result is false.

[0012] S4 further includes the following content: The regulatory system extracts the design coordinates of the physical entity associated with the task from the pre-set BIM component library according to the unique identifier of the construction project of the subsequent path task, denoted as BIM coordinates (X b , Y b , Z b ); the BIM component library is a structured database that records the mapping relationship between the task unique identifier and the entity three-dimensional coordinates; The regulatory system obtains the real-time measurement coordinates of the same construction machinery from the positioning regulatory system data interface deployed on the site according to the unique identifier of the construction project of the subsequent path task, denoted as coordinates (X p , Yp , Z p ); the positioning supervision system data interface provides a spatial position data stream conforming to a predetermined communication protocol; Then the supervision system queries the preset spatial tolerance rule library according to the unique identifier of the subsequent path task to obtain the spatial consistency tolerance parameter δ predefined for the task; the spatial tolerance rule library is a structured data table, and the fields thereof include the mapping relationship between the unique identifier of the construction project task and the tolerance parameter; The supervision system calculates the actual construction spatial deviation D based on the BIM coordinates (X b , Y b , Z b ), the positioning coordinates (X p , Y p , Z p ) and the tolerance parameter δ through a spatial deviation calculation formula, and the formula is as follows: ; wherein D represents the three-dimensional Euclidean distance between the BIM coordinates and the positioning coordinates; The supervision system performs spatial logic verification by comparing the actual construction spatial deviation value D with the tolerance parameter δ, and if D≤δ, it is determined that the construction spatial cognition is consistent, and the output result is true; if D>δ, it is determined that the construction spatial cognition is inconsistent, and the output result is false.

[0013] S5 further includes the following content: The supervision system performs logic determination and operation of task state conversion based on the time logic verification result output by S3 and the spatial logic verification result output by S4: When the time logic verification result and the spatial logic verification result are both logically true, the supervision system sends a state update instruction to the project progress management database to modify the state field of the subsequent path task from a preset waiting state to a startable state; When at least one of the time logic verification result and the spatial logic verification result is logically false, the supervision system generates and persists a task state conversion blocking record; the blocking record includes the construction project unique identifier of the subsequent path task, the type of verification failure and the timestamp of triggering the blocking.

[0014] S6 further includes the following content: The supervision system generates a structured execution result report according to the execution result of S5, and the report includes the construction project unique identifier of the subsequent path task, the determination result of the time logic verification, the determination result of the spatial logic verification, the completion time of the preceding path task, the dynamic condition type and the threshold parameter, the BIM coordinates, the positioning coordinates and the tolerance parameter; Finally, the regulatory system will generate an execution result report as a structured data file and send the file to a designated regulatory system data receiver through a predefined transmission interface.

[0015] The construction management system based on multi-source data analysis comprises a task state monitoring module, a dynamic condition management module, a time logic verification module, a spatial coordinate acquisition module, a spatial consistency verification module, a safety event identification module, and an execution result report generation module. The task state monitoring module is used to monitor the state field update event of the construction project progress management database to capture the pre-path task completion signal, and to parse the instruction queue of the plan scheduling module to receive the subsequent path task start instruction; the dynamic condition management module is used to extract the pre-path task completion time from the construction project progress management database, and to query and extract the dynamic condition type and threshold parameter of the subsequent path task from the task dependency rule library; the time logic verification module is used to perform corresponding time logic verification according to the dynamic condition type, to determine whether the construction dynamic context is ready and to output a Boolean result; the spatial coordinate acquisition module is used to extract the design coordinates of the construction machinery from the BIM component library, to obtain the real-time measurement coordinates of the construction machinery from the positioning system data interface, and to query the tolerance parameter from the spatial tolerance rule library; the spatial consistency verification module is used to calculate the actual construction spatial deviation based on the design coordinates, the measurement coordinates, and the tolerance parameter, to perform spatial logic verification and output a Boolean result; the safety event identification module is used to determine whether the subsequent path task state transition is allowed according to the Boolean results of the time and spatial logic verification, and to block the task state transition and generate a task state transition blocking record when the task state transition is not allowed; and the execution result report generation module is used to generate a structured execution result report according to the execution result of the safety event identification module and to send the report to a designated regulatory system data receiver.

[0016] Compared with the prior art, the beneficial effects of the present application are: 1. By introducing a time logic verification mechanism, the system can independently verify the dynamic context of the construction critical path task, effectively avoiding the risk of "advance" decision-making due to reliance on a single state label, and preventing quality problems caused by improper process connection from the source.

[0017] 2. By fusing BIM design coordinates and on-site positioning coordinates for spatial consistency verification, the system can actively identify and warn about the "mispositioning" problem of construction machinery positioning caused by coordinate system deviation, significantly improving the spatial positioning accuracy and operation safety of large equipment installation, precise component hoisting, and other processes.

[0018] 3. This invention constructs an automated monitoring layer independent of the business execution process, realizing continuous and objective monitoring of construction progress and spatial status compliance, reducing reliance on human experience judgment, and improving the intelligence level and decision reliability of construction management. Attached Figure Description

[0019] Figure 1 This is a flowchart of the construction management method based on multi-source data analysis according to the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example: Figure 1 As shown, the present invention provides a technical solution. The construction management method based on multi-source data analysis includes the following steps: S1. The monitoring system captures the signal that the status of the preceding path task in the construction project has changed to completed, and receives the start command of the subsequent path task. S2. The monitoring system obtains the completion time of the preceding path task, the predefined dynamic condition type and its corresponding threshold parameter; S3. The monitoring system performs time logic verification based on the dynamic condition type and threshold to determine whether the construction dynamic context is ready. S4. The monitoring system obtains the coordinates of the construction machinery associated with the subsequent path task in the BIM component library, the coordinates in the positioning monitoring system, and the predefined spatial consistency tolerance parameters; and performs spatial logic verification based on the BIM coordinates, positioning coordinates, and tolerance parameters to determine the consistency of construction space cognition. S5. When both the time logic check and the spatial logic check result are true, the monitoring system allows the subsequent path task to transition to a state that can begin; if either check result is false, the state transition is blocked. S6. The monitoring system generates and outputs an execution result report, which records the unique identifier of the construction project, the verification results, and the parameters involved.

[0022] S1 further includes the following: The supervisory system captures the signal that the state of the preceding path task is changed to completed by monitoring the update event of the state field in the data table of the construction project progress management database; the supervisory system is an automated data analysis system deployed on a server and realized by a software program, which is used to independently check the space-time logic compliance of the path task in the construction process; the update of the state field is confirmed by manual operation at a business terminal; The supervisory system receives the start instruction for the subsequent path task by analyzing the instruction queue from the plan scheduling module; the start instruction contains the unique identifier of the subsequent path task.

[0023] S2 further comprises the following content: The supervisory system extracts the completion time recorded by the database transaction timestamp when the state of the preceding path task is changed to completed from the construction project progress management database; Then the supervisory system queries the preset task dependency rule library according to the unique identifier of the construction project of the subsequent path task to obtain the dynamic condition type defined for the subsequent path task; the task dependency rule library is a structured data table, and the fields thereof include the unique identifier of the subsequent path task, the dynamic condition type, and the threshold parameter; the dynamic condition type is defined as a time delay type, a physical index type, and an approval state type in the rule library; The supervisory system extracts the threshold parameter bound with the dynamic condition type from the corresponding record in the task dependency rule library; when the dynamic condition type is the time delay type, the threshold parameter is a value representing the time length; when the dynamic condition type is the physical index type, the threshold parameter is a value representing the target value of the physical quantity; when the dynamic condition type is the approval state type, the threshold parameter is a string representing the approval conclusion.

[0024] S3 further comprises the following content: The supervisory system selects and executes the corresponding checking logic according to the dynamic condition type obtained in S3; when the dynamic condition type is the time delay type, the supervisory system obtains the current supervisory system time, calculates the difference between the current supervisory system time and the completion time of the preceding path task, and judges whether the difference is greater than or equal to the delay time length represented by the threshold parameter of the time delay type; if the judgment is true, it is determined that the construction dynamic context is ready, and the output result is true; if the judgment is not true, it is determined that the construction dynamic context is not ready, and the output result is false. When the dynamic condition type is physical indicator type, the supervision system obtains the real-time reading of the physical quantity related to the subsequent path task from the designated Internet of Things sensor data interface, judges whether the real-time reading is greater than or equal to the target value of the physical quantity represented by the physical indicator type threshold parameter, and if the judgment is true, it is determined that the construction dynamic context is ready, and the output result is true; if the judgment is not true, it is determined that the construction dynamic context is not ready, and the output result is false. When the dynamic condition type is approval state type, the supervision system obtains the current state of the approval process related to the subsequent path task from the database state field of the construction project approval management supervision system, judges whether the current state of the task is completely matched with the approval conclusion string represented by the approval state type threshold parameter, and if the judgment is true, it is determined that the construction dynamic context is ready, and the output result is true; if the judgment is not true, it is determined that the construction dynamic context is not ready, and the output result is false.

[0025] S4 further includes the following contents: The supervision system extracts the design coordinates of the physical entity associated with the task from the pre-set BIM component library according to the unique identification of the construction project of the subsequent path task, and records them as BIM coordinates (X b , Y b , Z b ); the BIM component library is a structured database that records the mapping relationship between the task unique identification and the entity three-dimensional coordinates; The supervision system obtains the real-time measurement coordinates of the same construction machinery from the positioning supervision system data interface deployed on the site according to the unique identification of the construction project of the subsequent path task, and records them as coordinates (X p , Y p , Z p ); the positioning supervision system data interface provides a spatial position data stream conforming to a predetermined communication protocol; Then the supervision system queries the pre-set spatial tolerance rule library to obtain the spatial consistency tolerance parameter δ predefined for the task according to the unique identification of the subsequent path task; the spatial tolerance rule library is a structured data table whose fields include the mapping relationship between the unique identification of the construction project task and the tolerance parameter; The supervision system calculates the actual construction spatial deviation D based on the BIM coordinates (X b , Y b , Z b ), positioning coordinates (X p , Y p , Z p ) and tolerance parameter δ through a spatial deviation calculation formula, and the formula is as follows: ; Wherein, D represents the three-dimensional Euclidean distance between BIM coordinates and positioning coordinates; The regulatory system performs spatial logic verification by comparing the actual construction space deviation value D and the tolerance parameter δ, if D≤δ, it is determined that the construction space cognition is consistent, and the output result is true; if D>δ, it is determined that the construction space cognition is inconsistent, and the output result is false.

[0026] S5 further includes the following contents: The regulatory system performs logical determination and operation of task state conversion based on the time logic verification result output by S3 and the space logic verification result output by S4: When the time logic verification result and the space logic verification result are both logical true values, the regulatory system sends a state update instruction to the project progress management database, modifying the state field of the subsequent path task from a preset waiting state to a startable state. When there is at least one logical false value in the time logic verification result and the space logic verification result, the regulatory system generates and persists a task state conversion blocking record; the blocking record contains the construction project unique identifier of the subsequent path task, the type of verification failure, and the timestamp of triggering the block.

[0027] S6 further includes the following contents: The regulatory system generates a structured execution result report according to the execution result of S5, which contains the construction project unique identifier of the subsequent path task, the determination result of time logic verification, the determination result of space logic verification, the completion time of the pre-path task and the dynamic condition type and threshold parameter, BIM coordinates, positioning coordinates and tolerance parameter; Finally, the regulatory system generates an execution result report as a structured data file, and sends the file to the designated regulatory system data receiving end through a pre-defined transmission interface.

[0028] The construction management system based on multi-source data analysis includes a task state monitoring module, a dynamic condition management module, a time logic verification module, a spatial coordinate acquisition module, a spatial consistency verification module, a safety event identification module and an execution result report generation module; The task state monitoring module is used for monitoring the state field update event of the construction project progress management database to capture the pre-path task completion signal, and parsing the instruction queue of the plan scheduling module to receive the subsequent path task starting instruction; the dynamic condition management module is used for extracting the pre-path task completion time from the construction project progress management database, and querying and extracting the dynamic condition type and threshold parameter of the subsequent path task from the task dependency rule library; the time logic verification module is used for executing corresponding time logic verification according to the dynamic condition type, judging whether the construction dynamic context is ready or not and outputting the Boolean result; the spatial coordinate acquisition module is used for extracting the design coordinates of the construction machinery from the BIM component library, obtaining the real-time measurement coordinates of the construction machinery from the positioning system data interface, and querying the tolerance parameter from the spatial tolerance rule library; the spatial consistency verification module is used for calculating the actual construction spatial deviation based on the design coordinates, the measurement coordinates and the tolerance parameter, executing the spatial logic verification and outputting the Boolean result; the safety event identification module is used for determining whether the subsequent path task state conversion is allowed according to the Boolean result of the time and space logic verification, and blocking the task state conversion and generating the task state conversion blocking record when it is not allowed; the execution result report generation module is used for generating the structured execution result report according to the execution result of the safety event identification module and sending it to the designated supervision system data receiving end.

[0029] The implementation process of the construction management system and method based on multi-source data analysis is described in detail by taking the "prestressed steel beam tensioning" process in a certain bridge engineering project as a subsequent path task. In this project, the pre-path task is "bridge main beam concrete pouring", and the start of the subsequent path task "prestressed steel beam tensioning" needs to meet strict time and space logic compliance requirements. The whole supervision process is completed by an automatic data analysis system deployed on the project server. The system includes a task state monitoring module, a dynamic condition management module, a time logic verification module, a spatial coordinate acquisition module, a spatial consistency verification module, a safety event identification module and an execution result report generation module, and each module cooperates to realize the whole process supervision.

[0030] After the supervision process is started, the task state monitoring module first continuously monitors the data table of the construction project progress management database. When the construction personnel confirms that the "bridge main beam concrete pouring" task is completed on the business terminal, the state field of the task in the database is updated, and the module immediately captures this state change signal. At the same time, the module parses the instruction queue from the project plan scheduling module, and extracts the starting instruction for the "prestressed steel beam tensioning" process from it. The instruction contains the unique identifier "ZL-2024-0512-001" of the subsequent path task, and the completion task signal capture and starting instruction receiving are completed.

[0031] Subsequently, the dynamic condition management module intervenes. The module extracts the database transaction timestamp when the task state of "bridge main girder concrete pouring" changes to completed from the construction project progress management database, determining the completion time as May 12, 2024, 14:30:00. Then, the module queries the preset task dependency rule library according to the subsequent path task unique identifier "ZL-2024-0512-001" - the library is a structured data table containing subsequent path task unique identifier, dynamic condition type, threshold parameter, etc. fields, and the dynamic condition type is preset as time delay type, physical index type, and approval state type. After querying, the dynamic condition type corresponding to the "prestressed steel strand tensioning" process is physical index type, and the module further extracts the threshold parameter "30MPa" from the corresponding record in the rule library, that is, the concrete strength needs to reach 30MPa before the subsequent process can be started.

[0032] The time logic verification module executes the corresponding verification logic according to the obtained dynamic condition type. Since the task dynamic condition is of the physical index type, the module obtains the real-time reading of the concrete strength related to the "prestressed steel strand tensioning" process through the designated Internet of Things sensor data interface. After data collection and transmission, the sensor feedbacks that the current concrete strength is 32MPa, and the module judges that the real-time reading is greater than the threshold parameter 30MPa, determining that the construction dynamic context is ready, and the time logic verification result output is true. If the dynamic condition type is time delay type or approval state type, the system will execute the corresponding verification logic: the time delay type will calculate the difference between the current system time and the completion time of the preceding task, and compare it with the threshold time length; the approval state type queries the construction project approval management system database to verify whether the approval state and the threshold string are completely matched.

[0033] At the same time of the synchronous advancement of the time logic verification, the spatial coordinate acquisition module starts to collect spatial related data. The module extracts the tensioning equipment design coordinates associated with the task from the preset BIM component library according to the subsequent path task unique identifier "ZL-2024-0512-001", denoted as BIM coordinates (X b =100.0m, Y b =200.0m, Z b =30.0m), which is a structured database storing the mapping relationship between task unique identifier and entity three-dimensional coordinates. Subsequently, the module obtains the real-time measurement coordinates of the same tensioning equipment through the positioning supervision system data interface deployed on the construction site - the interface provides spatial position data stream conforming to the predetermined communication protocol, denoted as positioning coordinates (X p =100.2m, Y p =200.1m, Z p= 30.0m). Then, the module queries the preset spatial tolerance rule base, which is also a structured data table, storing the mapping relationship between the construction project task unique identifier and the tolerance parameter, and finally obtains the spatial consistency tolerance parameter δ = 0.5m of the “prestressed steel tendon tensioning” process.

[0034] The spatial consistency verification module calculates the actual construction space deviation D based on the obtained BIM coordinates, positioning coordinates, and tolerance parameters through the three-dimensional Euclidean distance formula. Substituting the assumed data into the formula: D = √[(100.0-100.2)²+(200.0-200.1)²+(30.0-30.0)²]=√[(-0.2)²+(-0.1)²+0²]=√(0.04+0.01)=√0.05≈0.224m. The module compares the calculated actual construction space deviation D ≈ 0.224m with the tolerance parameter δ = 0.5m, and since 0.224m ≤ 0.5m, it is determined that the construction space cognition is consistent, and the spatial logic verification result is output as true.

[0035] The safety event identification module receives the time logic verification result and the spatial logic verification result, both of which are logical true values, and immediately sends a state update instruction to the project progress management database, modifying the state field of the “prestressed steel tendon tensioning” process from the preset “waiting state” to “startable state”. If either verification result is false, the system will generate and persist a task state transition block record, which includes the subsequent path task unique identifier, the verification failure type (time verification failure or space verification failure), and the timestamp triggering the block, ensuring that construction risks are traceable.

[0036] Finally, the execution result report generation module generates a structured execution result report based on the execution result of the safety event identification module. The report contains all key information such as the subsequent path task unique identifier “ZL-2024-0512-001”, the time logic verification determination result “true”, the spatial logic verification determination result “true”, the pre-path task completion time “2024-05-12 14:30:00”, the dynamic condition type “physical index type” and the threshold parameter “30MPa”, the BIM coordinates (100.0m, 200.0m, 30.0m), the positioning coordinates (100.2m, 200.1m, 30.0m), and the tolerance parameter “0.5m”. The module generates this report as a structured data file and sends it to the designated project management system data receiving end through the pre-defined transmission interface, completing the entire construction management and supervision process.

[0037] It will be apparent to those skilled in the art that the application is not limited to the details of the above-exemplified embodiments and that the present application can be implemented in other particular forms without departing from the spirit or essential characteristics of the present application. The embodiments should therefore be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the above description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. No reference signs in the claims should be considered as limiting the scope of the claims with respect to the figures of the patent document.

Claims

1. A construction management method based on multi-source data analysis, characterized in that: S1. The monitoring system captures the signal that the status of the preceding path task in the construction project has changed to completed, and receives the start command of the subsequent path task. S2. The monitoring system obtains the completion time of the preceding path task, the predefined dynamic condition type and its corresponding threshold parameter; S3. The monitoring system performs time logic verification based on the dynamic condition type and threshold to determine whether the construction dynamic context is ready. S4. The monitoring system obtains the coordinates of the construction machinery associated with the subsequent path task in the BIM component library, the coordinates in the positioning monitoring system, and the predefined spatial consistency tolerance parameters; and performs spatial logic verification based on the BIM coordinates, positioning coordinates, and tolerance parameters to determine the consistency of construction space cognition. S5. When both the time logic check and the spatial logic check result are true, the monitoring system allows the subsequent path task to transition to a state that can begin; if either check result is false, the state transition is blocked. S6. The monitoring system generates and outputs an execution result report, which records the unique identifier of the construction project, the verification results, and the parameters involved.

2. The construction management method based on multi-source data analysis according to claim 1, characterized in that: S1 further includes the following: The monitoring system captures signals indicating that the status of a preceding path task has changed to "completed" by monitoring update events of status fields in the data tables of the construction project progress management database. The monitoring system is an automated data analysis system deployed on a server and implemented by software programs, used to independently verify the spatiotemporal logical compliance of path tasks during construction. The update of the status field is confirmed manually at the business terminal. The monitoring system receives a start instruction for the subsequent path task by parsing the instruction queue from the production planning module; the start instruction contains a unique identifier for the subsequent path task.

3. The construction management method based on multi-source data analysis according to claim 1, characterized in that: S2 further includes the following: The monitoring system extracts the completion time recorded by the database transaction timestamp when the status of the preceding path task changes to "completed" from the construction project progress management database. Then, the monitoring system queries the preset task dependency rule base based on the unique identifier of the construction project of the subsequent path task to obtain the dynamic condition type defined for the subsequent path task; the task dependency rule base is a structured data table whose fields include the unique identifier of the subsequent path task, the dynamic condition type, and the threshold parameter; the dynamic condition type is defined in the rule base as time delay type, physical indicator type, and approval status type. The monitoring system extracts the threshold parameter bound to the dynamic condition type from the corresponding record in the task dependency rule base; when the dynamic condition type is time delay type, the threshold parameter is a value representing the duration; when the dynamic condition type is physical indicator type, the threshold parameter is a value representing the target value of the physical quantity; when the dynamic condition type is approval status type, the threshold parameter is a string representing the approval conclusion.

4. The construction management method based on multi-source data analysis according to claim 3, characterized in that: S3 further includes the following: The monitoring system selects and executes the corresponding verification logic based on the dynamic condition type obtained by S3. When the dynamic condition type is time-delayed, the monitoring system obtains the current monitoring system time, calculates the difference between the current monitoring system time and the completion time of the preceding path task, and determines whether the difference is greater than or equal to the delay duration represented by the time-delayed threshold parameter. If the determination is true, the construction dynamic context is determined to be ready, and the output result is true. If the judgment is not valid, the construction dynamic context is determined to be unready, and the output result is false. When the dynamic condition type is physical index type, the monitoring system obtains the real-time reading of the physical quantity related to the subsequent path task from the designated IoT sensor data interface, and determines whether the real-time reading is ≥ the target value of the physical quantity represented by the physical index type threshold parameter; if the determination is true, the construction dynamic context is determined to be ready, and the output result is true. If the judgment is not valid, the construction dynamic context is determined to be unready, and the output result is false. When the dynamic condition type is approval status type, the supervision system function obtains the current status of the approval process related to the subsequent path task from the status field of the database of the construction project approval management supervision system, and determines whether the current status of the task completely matches the approval conclusion string represented by the approval status type threshold parameter; if the determination is true, the construction dynamic context is determined to be ready, and the output result is true. If the judgment is not valid, the construction dynamic context is determined to be unready, and the output result is false.

5. The construction management method based on multi-source data analysis according to claim 1, characterized in that: S4 further includes the following: The monitoring system extracts the design coordinates of the physical entities associated with the task from a pre-set BIM component library based on the unique identifier of the construction project for the subsequent path task, and records them as BIM coordinates (X). b Y b Z b The BIM component library is a structured database that records the mapping relationship between unique task identifiers and three-dimensional coordinates of entities. Based on the unique identifier of the construction project for subsequent path tasks, the monitoring system obtains the real-time measurement coordinates of the same construction machinery from the data interface of the positioning monitoring system deployed on site, and records them as coordinates (X). p Y p Z p The location monitoring system data interface provides a spatial location data stream conforming to a predetermined communication protocol. Then, the monitoring system queries the preset spatial tolerance rule base based on the unique identifier of the subsequent path task to obtain the spatial consistency tolerance parameter δ predefined for the task; the spatial tolerance rule base is a structured data table whose fields contain the mapping relationship between the unique identifier of the construction project task and the tolerance parameter. The monitoring system is based on the BIM coordinates (X) b Y b Z b ), positioning coordinates (X) p Y p Z p The actual construction spatial deviation D is calculated using the spatial deviation calculation formula, given by the given tolerance parameter δ and the spatial deviation calculation formula as follows: ; Where D represents the three-dimensional Euclidean distance between the BIM coordinates and the positioning coordinates; The monitoring system performs spatial logic verification by comparing the actual construction space deviation value D with the tolerance parameter δ. If D ≤ δ, the system determines that the construction space perception is consistent and outputs a true result; if D > δ, the system determines that the construction space perception is inconsistent and outputs a false result.

6. The construction management method based on multi-source data analysis according to claim 1, characterized in that: S5 further includes the following: Based on the time logic verification results output by S3 and the spatial logic verification results output by S4, the monitoring system performs logical judgments and operations for task state transitions. When both the time logic verification result and the spatial logic verification result are true, the monitoring system sends a status update instruction to the project progress management database to change the status field of the subsequent path task from the preset waiting state to the startable state. When at least one logical false value exists in the time logic verification result and the spatial logic verification result, the monitoring system generates and persists a task state transition blocking record; the blocking record includes the unique identifier of the construction project of the subsequent path task, the type of verification failure, and the timestamp that triggered the blocking.

7. The construction management method based on multi-source data analysis according to claim 1, characterized in that: S6 further includes the following: Based on the execution results of S5, the monitoring system generates a structured execution result report. The report includes the unique identifier of the construction project for subsequent path tasks, the judgment results of time logic verification, the judgment results of spatial logic verification, the completion time and dynamic condition type and threshold parameters of the preceding path tasks, and BIM coordinates, positioning coordinates and tolerance parameters. Finally, the monitoring system generates a structured data file from the execution result report and sends the file to the designated monitoring system data receiving end through a predefined transmission interface.

8. A construction management system based on multi-source data analysis, as described in any one of claims 1-7, characterized in that: The system includes a task status monitoring module, a dynamic condition management module, a time logic verification module, a spatial coordinate acquisition module, a spatial consistency verification module, a security event identification module, and an execution result report generation module. The task status monitoring module is used to monitor the status field update events of the construction project progress management database to capture the completion signal of the preceding path task, and to parse the instruction queue of the planning and scheduling module to receive the start instruction of the subsequent path task. The dynamic condition management module is used to extract the completion time of the preceding path task from the construction project progress management database, and query and extract the dynamic condition type and threshold parameters of the subsequent path task from the task dependency rule base; the time logic verification module is used to perform the corresponding time logic verification according to the dynamic condition type, determine whether the construction dynamic context is ready and output a Boolean result; the spatial coordinate acquisition module is used to extract the design coordinates of the construction machinery from the BIM component library, obtain the real-time measurement coordinates of the construction machinery from the positioning system data interface, and query the tolerance parameters from the spatial tolerance rule base; the spatial consistency verification module is used to calculate the actual construction spatial deviation based on the design coordinates, measurement coordinates and tolerance parameters, perform spatial logic verification and output a Boolean result; the safety event identification module is used to determine whether to allow the subsequent path task state transition according to the Boolean result of the time and spatial logic verification, and block the task state transition and generate a task state transition blocking record if not allowed; the execution result report generation module is used to generate a structured execution result report according to the execution result of the safety event identification module and send it to the designated monitoring system data receiving end.

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