Expressway engineering management system and method

Abstract

The invention belongs to the technical field of highway engineering, and provides a highway engineering management system and method, and the method comprises the steps: a data collection module collects the positions of radio frequency tags of front-line working equipment and workers in different processes, and determines the engineering progress data; the project progress planning module formulates a project progress plan according to the project progress data and determines key paths and activities in a project; the project progress comparison module compares the actual completion progress data with the planned completion progress data in real time, and calculates progress deviation; the early warning deviation module sends out an early warning signal according to the comparison result when a preset deviation threshold value is exceeded; the prediction module calculates the residual workload of all tasks on the key path to obtain a residual time prediction value and predict completion time; according to the invention, real-time monitoring of equipment and worker positions is realized, and in combination with an intelligent data analysis and early warning mechanism, the efficiency and accuracy of engineering management are improved, and smooth promotion of highway engineering is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of highway engineering, and particularly relates to a highway engineering management system and method. Background Art

[0002] With the continuous development of social economy and the continuous growth of population mobility, highways have become one of the important ways for logistics transportation and people's travel. They play an increasingly important role in the cross-regional movement of people and materials. At present, the scale of highway engineering construction is constantly expanding, making engineering projects show significant characteristics such as large investment, long construction period, many participating units, scattered construction areas, inconvenient transportation, and being greatly affected by regional climate factors. The above project characteristics and the complex business processes and cumbersome engineering data they contain pose challenges to information transmission, implementation of management behaviors, supervision of project progress, monitoring of project quality, safety at the construction site, etc. among participants such as government management departments, project owners, supervisors, and contractors;

[0003] However, in past project management, the monitoring of project progress mainly relied on manual estimation. Construction workers needed to conduct regular on-site inspections and subjectively judge the completion status of each construction area based on personal experience and simple measuring tools. This method was inefficient and greatly affected by factors such as the professional level of personnel, work attitude, and complexity of the environment. For example, in large highway projects, with a wide construction scope and complex terrain, it took a large amount of time and manpower to manually check each construction point one by one, making it difficult to achieve real-time monitoring. Moreover, due to the subjectivity of manual judgment, there may be significant differences in the progress evaluation of the same construction area by different personnel, resulting in a significant discount in the accuracy of progress data. Taking the subgrade filling project as an example, manual estimation may result in a deviation of up to 20%-30% between the progress data and the actual situation due to inaccurate judgment of key indicators such as filling thickness and compaction degree, seriously affecting the overall progress control of the project.

[0004] When formulating a project progress plan in traditional project management, it was mostly based on fixed construction processes and empirical data, lacking a dynamic response mechanism to the real-time changes in the actual project progress. Once a deviation occurred between the actual project progress and the plan, it was difficult to quickly adjust the subsequent task arrangements and resource allocations reasonably according to the remaining time and actual situation. For example, when bad weather caused delays in some construction tasks, the traditional plan-making method could not automatically re-plan the critical path and resource allocation according to the new construction period limit, and could only rely on manual re-analysis and adjustment. The process was cumbersome and prone to errors, resulting in low resource utilization efficiency and hindered project progress. In the face of a large amount of engineering data, it was impossible to quickly and accurately extract key information to provide an effective decision-making basis for managers.

[0005] For this reason, those skilled in the art have proposed a highway engineering management system and method, aiming to achieve real-time monitoring of the positions of equipment and workers, combined with intelligent data analysis and early warning mechanisms, to improve the efficiency and accuracy of engineering management and ensure the smooth progress of highway projects. Summary of the Invention

[0006] To solve the above technical problems, the present invention provides a highway engineering management system and method to solve the problems raised in the background technology.

[0007] According to the first aspect of the present disclosure, a highway engineering management system is proposed, including:

[0008] A data acquisition module, configured to collect the positions of radio frequency tags of first-line working equipment for different processes and the positions of radio frequency tags of first-line working workers through positioning technology, obtain equipment and worker position data, and comprehensively determine project progress data based on the equipment and worker position data;

[0009] A project progress plan module, configured to formulate a project progress plan according to the project progress data, determine the critical path and activities in the project, and obtain planned completion progress data;

[0010] A project progress comparison module, configured to compare the actual completion progress data with the planned completion progress data in real time, calculate the progress deviation, and obtain a comparison result;

[0011] An early warning deviation module, configured to issue an early warning signal according to the comparison result when the deviation exceeds a preset deviation threshold, and send the early warning signal to the corresponding terminal of the responsible person;

[0012] A prediction module, configured to calculate the remaining workload of all tasks on the critical path, obtain a predicted remaining time value, and predict the completion time.

[0013] Preferably, the data acquisition module is further configured to:

[0014] Associate the collected equipment and worker position data with the construction tasks of different processes, where the set of all construction tasks is represented as T = {T1, T2,..., T m}, the set of all first-line working equipment is represented as E = {E1, E2,..., E n}, and the set of all first-line workers is represented as W = {W1, W2,..., W k};

[0015] For each construction task T i , define its construction area R i ;

[0016] When the equipment E jThe position (x j,t , y j,t , z j,t ) at time t belongs to R i , then the device E j participates in the construction task T at time t i , when the worker W l is at the position (x l,t , y l,t , z l,t ) at time t and belongs to R i , then the worker W l participates in the construction task T at time t i ;

[0017] The workload ΔQ completed by the construction task T i in the time interval [t1, t2] is expressed as: i That is,

[0018]

[0019] wherein, represents the set of devices participating in the construction task T i in the time interval [t1, t2], represents the set of workers participating in the construction task T i in the time interval [t1, t2], q j,i and q l,i respectively represent the workloads completed by the device E j and the worker W l per unit time;

[0020] The total workload of all construction tasks is: where Q i is the total workload of each construction task T i ;

[0021] At time t, the cumulative workload completed by all tasks is The calculated project progress is:

[0022]

[0023] where P represents the entire project progress data, which is calculated based on the completion status of all construction tasks.

[0024] Preferably, the project progress planning module is further configured to:

[0025] Decompose the entire highway engineering project into multiple specific construction tasks to form a hierarchical task decomposition structure, and the decomposed task set is A = {A1, A2,..., A n};

[0026] Determine the sequence relationship between each task, and use a matrix to represent the task relationship, where r ij is:

[0027] The project progress data P includes the actual completion progress information of each task. The actual completion ratio of the i-th task in the project progress data P is p i , 0 ≤ p i ≤ 1, and the original planned construction period is d i , then the time already used The remaining time

[0028] Based on the task relationship and the remaining time, formulate a project progress plan:

[0029]

[0030] Among them, ES i and EF i respectively represent the earliest start time and the earliest end time of each task.

[0031] Preferably, the project progress plan module is further used for:

[0032] Calculate the total float time of task A i : TF i = LF i - EF i = LS i - ES i , where the total float time refers to the time that a task can be delayed without affecting the total project duration. The latest start time LS i and the latest completion time LF i are expressed as:

[0033]

[0034] The critical path refers to the sequence of tasks in a project with a total float time of zero. By traversing all tasks, the path composed of tasks with TF i = 0 is the critical path, and the activities on the critical path are critical activities;

[0035] The project progress plan module is further used for:

[0036] According to the current time t and the planned start time ES i and the planned end time EF i of task A i to determine the planned completion progress data S i , when ES i ≤ t ≤ EFi When:

[0037]

[0038] When t < ES i then, S i = 0, when t > EF i then, S i = 1.

[0039] Preferably, the project progress comparison module is further configured to:

[0040] Obtain the overall project progress data P through the data collection module. For each task A i , then the actual completion progress data is P i ;

[0041] Compare the actual completion progress data with the planned completion progress data in real time, calculate the progress deviation, and obtain the comparison result:

[0042] D i = P i - S i

[0043] wherein, when D i is positive, it indicates that the actual progress is ahead, and when it is negative, it indicates that the actual progress is behind;

[0044] The warning deviation module is used to trigger a warning signal according to the comparison result and a preset deviation threshold. When |D i | > Δ, a warning signal of abnormal progress of this task is sent to the terminal corresponding to the person in charge, where Δ is the preset deviation threshold.

[0045] Preferably, the prediction module is further configured to:

[0046] Calculate the remaining workload of all tasks on the critical path: V i = 1 - P i ;

[0047] When the actual progress of the tasks on the critical path remains unchanged, predict the remaining time according to the average speed of the completed part. Then the predicted value of the remaining time is:

[0048]

[0049] The sum of the predicted values of the remaining time of all tasks on the critical path is the time required for the project:

[0050]

[0051] Then the predicted completion time is T f= t + T y , where t is the current time.

[0052] According to the second aspect of the present disclosure, a highway project management method is proposed, which is applied to the first aspect and includes the following steps:

[0053] S1. Obtain the radio frequency tag positions of on-site working equipment and workers, and associate them with construction tasks of different processes;

[0054] S2. Determine the construction area of each construction task, and judge the construction tasks participated by the equipment and workers based on their presence in the construction area at a specific time;

[0055] S3. Calculate the workload of each construction task within a given time interval, obtain the total workload of all construction tasks and the cumulative completed workload at a certain moment, and determine the project progress data;

[0056] S4. Decompose the entire highway project to form a hierarchical task breakdown structure, and determine the sequence relationship of each task;

[0057] S5. Based on the actual completion progress information of each task and the original planned duration in the project progress data, calculate the time used and the remaining time, and combine the sequence relationship of each task to formulate a project progress plan, determine the critical path and activities, and obtain the planned completion progress data;

[0058] S6. According to the overall project progress data, obtain the actual completion progress data for each task, compare it with the planned completion progress data in real time, and calculate the progress deviation;

[0059] S7. According to the progress deviation and the preset deviation threshold, determine whether the task progress is abnormal and send a warning signal;

[0060] S8. Calculate the remaining workload of all tasks on the critical path. Under the condition that the actual progress of the tasks on the critical path remains unchanged, predict the remaining time based on the average speed of the completed part to obtain the predicted remaining time values of all tasks;

[0061] S9. Based on the sum of the predicted remaining time values of all tasks being the expected time required for the project, predict the completion time in combination with the current time.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1. The present invention utilizes radio frequency identification (RFID) technology to obtain the location data of equipment and workers, closely associates it with construction tasks, realizes the accurate collection of project progress data, and can comprehensively, real - time, and accurately reflect the actual situation on the construction site; accurately calculates the workload and project progress data of each construction task, greatly improving the accuracy of progress monitoring compared with the traditional manual estimation method of progress, and helping to promptly discover potential progress problems.

[0064] 2. The present invention realizes the intelligentization of project management from determining project progress data, formulating a progress plan, comparing progress deviations, to predicting the completion time. By decomposing the project, determining task relationships, and formulating a progress plan, it can reasonably arrange resources according to the actual progress and remaining time, improve resource utilization efficiency, and ensure the smooth progress of the project.

[0065] 3. The present invention calculates the deviation by comparing the actual and planned progress data in real - time and sends a warning signal in case of anomalies, enabling managers to take timely measures to adjust the progress, effectively avoiding the deterioration of progress problems, ensuring the project proceeds as planned, and reducing the risk of project duration delay. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 is a block diagram of the highway project management system of the present invention;

[0067] Figure 2 is a flowchart of the highway project management method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] The following further describes in detail the embodiments of the present invention in conjunction with the drawings and examples. The following examples are used to illustrate the present invention but cannot be used to limit the scope of the present invention.

[0069] Example 1: As shown in the attached Figure 1 figure, the present invention provides a highway project management system, including:

[0070] A data acquisition module, which is used to collect the positions of the RFID tags of the first - line working equipment and the RFID tags of the first - line working workers in different processes through positioning technology, obtain the equipment and worker position data, and comprehensively determine the project progress data;

[0071] Associate the collected equipment and worker position data with the construction tasks of different processes, where the set of all construction tasks is represented as T = {T1, T2,..., T m}, the set of all first - line working equipment is represented as E = {E1, E2,..., E n}, and the set of all first - line workers is represented as W = {W1, W2,..., W k};

[0072] For each construction task T i , define its construction area R i ;

[0073] When the position of equipment E j at time t is (x j,t , y j,t , z j,t ) ∈ R i , then equipment E j participates in construction task T at time t i . When the position of worker W l at time t is (x l,t , y l,t , z l,t ) ∈ R i , then worker W l participates in construction task T at time t i ;

[0074] The amount of work ΔQ completed by construction task T i in the time interval [t1, t2] is expressed as: i where

[0075]

[0076] represents the set of equipment participating in construction task T in the time interval [t1, t2], i represents the set of workers participating in construction task T in the time interval [t1, t2], i q j,i and q l,i respectively represent the amount of work completed by equipment E j and worker W l per unit time;

[0077] The total amount of work for all construction tasks is: where Q i is the total amount of work for each construction task T i ;

[0078] At time t, the cumulative amount of work completed for all tasks is The construction progress is calculated as:

[0079]

[0080] where P represents the overall construction progress data, calculated based on the completion status of all construction tasks.

[0081] By obtaining the real-time location information of equipment and workers, the workload and project progress of construction tasks can be accurately calculated, providing a reliable data basis for subsequent project management. It is possible to clearly understand the progress of each construction task, avoid omissions or duplicate arrangements in work, and improve work efficiency.

[0082] The project schedule planning module is used to formulate a project schedule plan based on project progress data, determine the critical path and activities in the project, and obtain the planned completion progress data;

[0083] The entire expressway project is decomposed into multiple specific construction tasks, forming a hierarchical task breakdown structure. The decomposed task set is A = {A1, A2,..., A n};

[0084] Determine the sequence relationship between each task, and use the matrix to represent the task relationship, where r ij is:

[0085] The project progress data P contains the actual completion progress information of each task. The actual completion ratio of the i-th task in the project progress data P is p i , 0 ≤ p i ≤ 1, the original planned project duration is d i , then the time already used The remaining time

[0086] Based on the task relationship and the remaining time, formulate a project schedule plan:

[0087]

[0088] Among them, ES i and EF i represent the earliest start time and the earliest end time of each task respectively.

[0089] Calculate the total float time of task A i : TF i = LF i - EF i = LS i - ES i , where the total float time refers to the time that a task can be delayed without affecting the total project duration. The latest start time LS i and the latest completion time LF i are expressed as:

[0090]

[0091] The critical path refers to the sequence of tasks in a project where the total float time is zero. By traversing all tasks, the path composed of tasks with TF i = 0 is the critical path, and the activities on the critical path are critical activities;

[0092] According to the current time t and the planned start time ES i of task A i and the planned end time EF i , determine the planned completion progress data S i . When ES i ≤ t ≤ EF i :

[0093]

[0094] When t < ES i , S i = 0. When t > EF i , S i = 1. Formulating a schedule plan based on the project progress data, determining the critical path and activities, and obtaining the planned completion progress data can reasonably plan the entire engineering project, clarify the sequence and time arrangement of each task, and help managers grasp the key points of the project, allocate resources reasonably, and ensure the smooth progress of the project as planned

[0095] The project progress comparison module is used to compare the actual completion progress data with the planned completion progress data in real time, calculate the progress deviation, and obtain the comparison result;

[0096] Obtain the entire project progress data P through the data collection module. For each task A i , the actual completion progress data is P i ;

[0097] Compare the actual completion progress data with the planned completion progress data in real time, calculate the progress deviation, and obtain the comparison result:

[0098] D i = P i - S i

[0099] Among them, when D i is positive, it indicates that the actual progress is ahead. When it is negative, it indicates that the actual progress is behind.

[0100] By comparing the actual and planned completion progress data in real time, calculating the progress deviation to obtain the comparison result, managers can timely understand the difference between the actual progress and the planned progress of the project, so as to adjust the strategy in time.

[0101] Early warning deviation module, which is used to issue an early warning signal when the comparison result exceeds a preset deviation threshold, and send the early warning signal to the terminal corresponding to the responsible person; trigger the early warning signal according to the comparison result and the preset deviation threshold, and when |D i | > Δ, send the early warning signal of the abnormal task progress to the terminal corresponding to the responsible person, where Δ is the preset deviation threshold.

[0102] By sending an early warning signal when the comparison result exceeds the preset deviation threshold and notifying the responsible person, it can timely remind the manager to pay attention to the abnormal situation of the project progress, so as to take measures to solve the problem in time and avoid the further deterioration of the progress problem affecting the overall project progress. When the progress deviation of a certain task exceeds the threshold, the responsible person can receive the notice in the first time and coordinate resources to solve the problem in time.

[0103] Prediction module, which is used to calculate the remaining workload of all tasks on the critical path, obtain the predicted remaining time value, and predict the completion time.

[0104] Calculate the remaining workload of all tasks on the critical path: V i = 1 - P i ;

[0105] When the actual progress of the tasks on the critical path remains unchanged, predict the remaining time according to the average speed of the completed part, then the predicted remaining time value is:

[0106]

[0107] The sum of the predicted remaining time values of all tasks on the critical path is the time required for the project:

[0108]

[0109] Then the predicted completion time is T f = t + T y , where t is the current time.

[0110] By calculating the remaining workload of the tasks on the critical path and predicting the completion time, it provides an estimate of the project completion time for the manager, which is convenient for making subsequent arrangements in advance, such as planning the completion acceptance work in advance and arranging the engineering tasks of the next stage, etc.

[0111] Embodiment 2: As shown in the appendix Figure 2 This invention also provides a highway engineering management method, which is applied to Embodiment 1 and includes the following steps:

[0112] S1. Obtain the radio frequency tag positions of the first-line working equipment and workers, and associate them with the construction tasks of different processes;

[0113] S2. Determine the construction areas for each construction task. Based on the fact that equipment and workers are within the construction areas at a specific time, determine the construction tasks they are involved in.

[0114] S3. Calculate the workload of each construction task within a given time interval, obtain the total workload of all construction tasks and the cumulative completed workload at a certain moment, and determine the project progress data.

[0115] S4. Decompose the entire highway engineering project to form a hierarchical task breakdown structure, and determine the sequence relationship of each task.

[0116] S5. Based on the actual completion progress information of each task and the original planned duration in the project progress data, calculate the time used and the remaining time. Combining the sequence relationship of each task, formulate a project progress plan, determine the critical path and activities, and obtain the planned completion progress data.

[0117] S6. According to the overall project progress data, obtain the actual completion progress data for each task, compare it with the planned completion progress data in real time, and calculate the progress deviation.

[0118] S7. Based on the progress deviation and a preset deviation threshold, determine whether the task progress is abnormal and send a warning signal.

[0119] S8. Calculate the remaining workload of all tasks on the critical path. Under the condition that the actual progress of the critical path tasks remains unchanged, predict the remaining time based on the average speed of the completed part to obtain the predicted remaining time values for all tasks.

[0120] S9. Based on the sum of the predicted remaining time values for all tasks as the estimated time required for the project, predict the completion time in combination with the current time.

[0121] As can be seen from the above, by obtaining the RFID tag positions of on-site working equipment and workers and associating with construction tasks, the actual progress of each link of the project can be grasped in real time and accurately. The workload of each construction task and the project progress data can be accurately calculated. Compared with the traditional method of manually estimating the progress, the accuracy of progress monitoring is greatly improved, which helps to timely discover potential progress problems. Decomposing the engineering project, determining the task relationship and formulating a progress plan can reasonably arrange resources according to the actual progress and the remaining time. After clarifying the critical path and activities, resources can be preferentially allocated to critical tasks to avoid resource waste, improve resource utilization efficiency, and ensure the smooth progress of the project. Comparing the actual and planned progress data in real time, calculating the deviation and sending a warning signal when abnormal enables managers to take timely measures to adjust the progress. This effectively avoids the deterioration of progress problems, ensures the project proceeds as planned, and reduces the risk of project duration delay.

[0122] Importantly, it should be noted that the construction and arrangement of the present application shown in multiple different exemplary embodiments are merely illustrative. Although only a few embodiments are described in detail in this disclosure, those who refer to this disclosure should easily understand that many modifications are possible without materially departing from the novel teachings and advantages of the subject matter described in this application. Other substitutions, modifications, changes, and omissions may be made in the design, operating conditions, and arrangement of the exemplary embodiments without departing from the scope of the present invention. Therefore, the present invention is not limited to a particular embodiment, but extends to various modifications that still fall within the scope of the appended claims.

[0123] In addition, in order to provide a concise description of the exemplary embodiments, all features of the actual embodiments may not be described (i.e., those features that are not relevant to the best mode currently contemplated for carrying out the present invention or those features that are not relevant to implementing the present invention).

[0124] It should be understood that in the development of any actual implementation, in any engineering or design project, a large number of specific implementation decisions may be made. Such development efforts may be complex and time-consuming, but for those of ordinary skill in the art who benefit from this disclosure, without undue experimentation, such development efforts will be a routine task of design, manufacturing, and production.

[0125] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A highway engineering management system, characterized in that, Including: A data acquisition module, which is used to collect the positions of radio frequency tags of first-line working equipment in different processes and the positions of radio frequency tags of first-line workers through positioning technology, obtain equipment and worker position data, and comprehensively determine project progress data according to the equipment and worker position data; A project progress planning module, which is used to formulate a project progress plan according to the project progress data, determine the critical path and activities in the project, and obtain planned completion progress data; A project progress comparison module, which is used to compare the actual completion progress data with the planned completion progress data in real time, calculate the progress deviation, and obtain a comparison result; An early warning deviation module, which is used to send an early warning signal and send the early warning signal to the terminal corresponding to the person in charge when the deviation exceeds a preset deviation threshold according to the comparison result; A prediction module, which is used to calculate the remaining workload of all tasks on the critical path, obtain a predicted remaining time value, and predict the completion time.

2. The highway engineering management system according to claim 1, wherein The data acquisition module is further used for: Associate the collected device and worker location data with the construction tasks of different processes, where the set of all construction tasks is represented as T = {T1, T2,..., T m}, the set of all on-site working devices is represented as E = {E1, E2,..., E n}, and the set of all on-site workers is represented as W = {W1, W2,..., W k}; For each construction task T i , define its construction area R i ; When device E j is at position (x j,t , y j,t , z j,t ) ∈ R i at time t, then device E j participates in construction task T i at time t. When worker W l is at position (x l,t , y l,t , z l,t ) ∈ R i at time t, then worker W l participates in construction task T i ; The construction task T i The amount of work completed, ΔQ, within the time interval [t1, t2] i is expressed as: Among them, represents the set of equipment participating in construction task T within the time interval [t1, t2], i and represents the set of workers participating in construction task T within the time interval [t1, t2], i where q j,i and q l,i respectively represent the amount of work completed by equipment E j and worker W l per unit time; The total workload of all construction tasks is: where Q i is the total workload of each construction task T i ; At time t, the cumulative workload completed for all tasks is Calculate the project progress as: Where P represents the entire project progress data, which is calculated through the completion status of all construction tasks.

3. The highway engineering management system according to claim 2, characterized in that, The project progress planning module is further used for: Decompose the entire highway engineering project into multiple specific construction tasks to form a hierarchical task decomposition structure. The set of tasks after decomposition is A = {A1, A2,..., A n}; Determine the precedence relationship between each task, and use the matrix R = [r ij n×n to represent the task relationship, where r ij is defined as: ​ The project progress data P includes the actual completion progress information of each task. The actual completion ratio of the i-th task in the project progress data P is p i , 0 ≤ p i ≤ 1, and the originally planned construction period is d i , then the time already used The remaining time Formulate a project progress plan based on the task relationship and remaining time: Among them, ES i and EF i represent the earliest start time and the earliest end time of each task, respectively.

4. The highway engineering management system according to claim 3, characterized in that, The project progress planning module is further used for: Calculation task A i Total float time: TF i = LF i - EF i = LS i - ES i where the total float time refers to the time by which a task can be delayed without affecting the overall project duration, and the latest start time LS i and the latest finish time LF i are expressed as: The critical path refers to the sequence of tasks in a project with zero total float time. By traversing all tasks, the path composed of tasks with TF i = 0 is the critical path, and the activities on the critical path are critical activities; The project progress planning module is further used to obtain planned completion progress data, including: According to the current time t and the planned start time ES i of task A i , the planned end time EF i to determine the planned completion progress data S i , when ES i ≤ t ≤ EF i : When t < ES i , S i = 0. When t > EF i , S i = 1.

5. The highway engineering management system according to claim 4, wherein The project progress comparison module is further used for: The entire project progress data P is obtained through the data acquisition module. For each task A i , the actual completed progress data is P i ; Compare the actual completion progress data with the planned completion progress data in real time, calculate the progress deviation, and obtain a comparison result: D i = P i - S i Among them, when D i is positive, it indicates that the actual progress is ahead; when it is negative, it indicates that the actual progress is behind. The warning deviation module is used to trigger a warning signal according to the comparison result and a preset deviation threshold. When |D i | > Δ, a warning signal of abnormal task progress is sent to the terminal corresponding to the responsible person, where Δ is the preset deviation threshold.

6. The highway engineering management system according to claim 5, wherein The prediction module is further used for: Calculate the remaining workload of all tasks on the critical path: V i = 1 - P i ; When the actual progress of the tasks on the critical path remains unchanged, predict the remaining time based on the average speed of the completed part, then the predicted value of the remaining time is The sum of the predicted remaining time values of all tasks on the critical path is the time required for the project: The predicted completion time is T f = t + T y , where t is the current time.

7. A highway engineering management method, which is applied to a highway engineering management system as described in any one of claims 1-6, and is characterized in that, Including the following steps: S1. Obtain the positions of radio frequency tags of first-line working equipment and workers, and associate them with construction tasks in different processes; S2. Determine the construction area of each construction task, and judge the construction tasks participated in according to the equipment and workers being in the construction area at a specific time; S3. Calculate the workload of each construction task within a given time interval, obtain the total workload of all construction tasks and the cumulative completed workload at a certain moment, and determine the project progress data; S4. Decompose the entire expressway project to form a hierarchical task breakdown structure, and determine the sequence relationship of each task; S5. Based on the actual completion progress information of each task and the original planned duration in the project progress data, calculate the used time and remaining time, and formulate a project progress plan in combination with the sequence relationship of each task, determine the critical path and activities, and obtain the planned completion progress data; S6. According to the entire project progress data, obtain the actual completion progress data for each task, compare the planned completion progress data in real time, and calculate the progress deviation; S7. Determine whether the task progress is abnormal according to the progress deviation and the preset deviation threshold, and send an early warning signal; S8. Calculate the remaining workload of all tasks on the critical path, and predict the remaining time according to the average speed of the completed part under the condition that the actual progress of the tasks on the critical path remains unchanged, and obtain the predicted remaining time values of all tasks; S9. According to the sum of the predicted remaining time values of all tasks being the time required for the project, predict the completion time in combination with the current time.

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