A method and system for analyzing the manual work efficiency of power grid projects based on intelligent safety helmet data

Abstract

The present invention discloses a method and system for analyzing the manual work efficiency of power grid projects based on intelligent safety helmet data. The method monitors the construction progress of each project module in real time. Once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is carried out. According to the current construction progress of each project module, the project module with the latest workload to complete the corresponding project module is obtained, and its actual required delivery time is used as the actual delivery time of the power grid project, and compared with the predetermined delivery time. The present invention first modularizes the construction area of the power grid project and monitors the construction progress of each project module in real time. Once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is carried out to timely discover abnormal situations at the construction site and accurately grasp information such as the construction process and construction environment.

Description

Technical Field

[0001] The present invention relates to the technical field of construction site safety management, and in particular to a method and system for analyzing labor efficiency of power grid projects based on intelligent safety helmet data collection. Background Art

[0002] In order to ensure the orderly construction of power grid projects and implement the deployment of all aspects of project construction, project construction and management units need to accurately calculate labor efficiency, analyze and evaluate the progress of work, and determine reasonable work plans and resource allocation to ensure the rational allocation of human resources and the rational control of work plans. Therefore, labor efficiency measurement and analysis is of great significance to ensure the smooth progress of all aspects of power grid project construction and the quality of construction management work.

[0003] At present, the technology for collecting data on labor efficiency is to record the time of employees going to and from get off work by using facial recognition, work cards, etc. at the entrances and exits of the construction site, and use attendance to determine the labor consumption during the construction process. However, determining the construction progress is a complex issue. For example, for some complex work tasks, observers may need to travel back and forth to the site many times. Observing and recording relevant data requires a long time and more energy. The statistical results are more dependent on the sense of responsibility, or the presence of observers will affect the construction progress, making it inconvenient to carry out manual observation and recording. Therefore, traditional construction progress management based on labor efficiency data collection has limitations such as strong subjectivity and difficulty in data collection. How to accurately and effectively determine the impact of labor efficiency of power grid projects on the construction progress is an urgent problem to be solved.

[0004] For example, the invention patent with publication number CN117114225 A discloses a smart construction site management system, including: a smart platform; the information entry platform is arranged on one side of the smart platform, and the smart platform includes an identification unit, a detection unit and a task unit. The present invention provides a smart construction site management system, which enters photos and skills of staff members through the information entry platform, and the identification unit takes photos of the incoming and outgoing personnel, and transmits the photos to the face recognition system for comparison. The entered staff members are released, and the unentered personnel are intercepted so that the security personnel can make inquiries, and the entered staff members are recognized again by the helmet recognition system to check whether they are wearing helmets. The device has a simple structure and strong practicality, and is convenient for managing the crowd in an open construction site, avoiding non-workers from mixing into the construction site, and managing the staff members wearing helmets to enter the construction site. Therefore, it only manages the safety of the construction site to a certain extent. Summary of the invention

[0005] Objective of the Invention: To overcome the deficiencies of the prior art, the present invention provides a method for analyzing the manual work efficiency of power grid projects based on intelligent safety helmet data, which can judge the construction progress of power grid projects according to the manual work efficiency, and schedule and allocate construction personnel to the task projects with slow construction progress according to the relevance between different project modules. It not only effectively supervises the construction personnel, but also optimizes the resource allocation, improving the construction efficiency and quality. The present invention also provides a system for analyzing the manual work efficiency of power grid projects for intelligent safety helmet data collection.

[0006] Technical Solution: According to the first aspect of the present invention, a method for analyzing the manual work efficiency of power grid projects based on intelligent safety helmet data is provided, which adopts the following steps:

[0007] S1 Divide the construction area corresponding to the power grid project into multiple project modules, and each project module includes the same or different project tasks; formulate a general construction plan according to the scheduled delivery time and construction difficulty of the power grid project, specifically including: allocate the estimated workload and expected construction days for each project task, allocate the corresponding total number of construction personnel and supporting equipment;

[0008] S2 Match the basic information of the construction personnel through the intelligent safety helmet, so as to monitor the daily movement state information of the corresponding construction personnel according to the basic information;

[0009] S3 Monitor the construction progress of each project module in real time. Once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is carried out. Specifically:

[0010] Detect whether the progress of all project tasks in the current project module has reached the expected construction progress. If there is a project task whose progress has not reached the expected construction progress, at this time, store the uncompleted workload, and determine that the current project module has not reached the expected construction progress. At this time, first determine the daily and previous work conditions of the construction personnel corresponding to the project task according to the movement state information of the intelligent safety helmet. If the progress is unqualified due to the manual work efficiency of the construction personnel, then schedule the construction personnel according to the uncompleted workload. Otherwise, judge other abnormal reasons and carry out processing; otherwise, if the project tasks in the current project module reach the expected construction progress, record the over-completed workload, and continue to monitor other project modules;

[0011] S4 Obtain the project module with the latest workload to complete the corresponding project module according to the current construction progress of each project module, and use its actual required delivery time as the actual delivery time of the power grid project. Compare it with the scheduled delivery time. If it is later than the scheduled delivery time, carry out scheduling processing and then recalculate and compare. Otherwise, end this monitoring, and return to step S2 for the next monitoring.

[0012] Further, it includes:

[0013] In step S3, if the progress is unqualified due to the work efficiency of construction workers, the construction workers shall be scheduled according to the unfinished workload, including:

[0014] Confirm the construction progress of the project tasks in the current project module that have not reached the expected construction progress, store the unfinished workload, and confirm the basic information of the construction workers corresponding to the project tasks and the work conditions of each construction worker on the current day and in the previous period. The basic information includes the following factors: the name, working years, level, type of job, and basic salary of the construction worker. If it is caused by the irregular behavior of the construction worker on the current day, remind the relevant construction worker; otherwise, if it is caused by the operation actions of the construction worker on the current day and in the previous period, confirm whether to schedule the construction worker or only give a reminder according to the unfinished workload. The irregular behavior is the behavior that does not conform to the safety production specification, which is obtained by parsing the intelligent safety helmet.

[0015] The confirmation of whether to schedule the construction worker or only give a reminder specifically includes:

[0016] If the unfinished workload in the current project task is significantly less than the total amount of over-fulfilled workload in this project module and other project modules, remind the relevant construction workers. The significantly less means that the unfinished workload is within 20% of the total amount of over-fulfilled workload in this project module and other project modules. Otherwise,

[0017] If the unfinished workload in the current project task is less than the total amount of over-fulfilled workload in this project module and other project modules, read the basic information of the corresponding construction worker, traverse the basic information of other project tasks in this project module and construction workers in other project modules, use the type of job as the main matching factor, set the corresponding thresholds for other factors, calculate the relevant value, and compare the relevant value with the set result threshold. The construction workers whose value is greater than or equal to the set result threshold are used as the scheduling objects. The less means that the proportion of the unfinished workload in the total amount of over-fulfilled workload in this project module and other project modules is 20% to 50%;

[0018] Otherwise, if the proportion of the unfinished workload in the current project task in the total amount of over-fulfilled workload in this project module and other project modules is more than 50%, it is necessary to schedule the construction workers in other power grid projects.

[0019] Further, it includes:

[0020] In step S3, the operation actions of the construction worker on the current day and in the previous period include:

[0021] Abnormalities in attendance time and scope: The punch-in times for going to work and coming off work of construction workers from the first day to the current day, as well as the movement scope of construction workers.

[0022] Level matching: The attendance time and scope of construction workers are normal. Determine whether the working years and levels of construction workers match, and confirm whether the types of work are corresponding to the types of tasks of this project.

[0023] Workload confirmation: According to the daily construction plan, determine whether the construction progress of the current day has reached the expected construction progress. If so, record the excess construction workload completed; otherwise, record the uncompleted construction workload of the current day. Combine the previously accumulated excess construction workload or uncompleted construction workload to determine the construction progress of this project task.

[0024] Furthermore, it includes:

[0025] In the above workload confirmation, determining the construction progress of this project task includes:

[0026] If the previously accumulated excess construction workload exceeds the expected construction progress after offsetting with the uncompleted construction workload of the current day, record that the project task exceeds the expected construction progress, and record the excess construction workload completed.

[0027] Otherwise, if the previously accumulated excess construction workload does not exceed the specified construction progress after offsetting with the uncompleted construction workload of the current day, record that the project task does not reach the expected construction progress, and record the uncompleted construction workload.

[0028] The sum of the previously accumulated uncompleted construction workload and the uncompleted construction workload of the current day is recorded as the uncompleted construction workload of the current project task.

[0029] Otherwise, if the previously accumulated uncompleted construction workload does not reach the expected construction progress after offsetting with the excess construction workload completed on the current day, record that the project task does not reach the expected construction progress, and record the uncompleted construction workload.

[0030] Otherwise, if the previously accumulated uncompleted construction workload reaches the expected construction progress after offsetting with the excess construction workload completed on the current day, record that the project task exceeds the expected construction progress, and record the excess construction workload completed.

[0031] Furthermore, it includes:

[0032] Judging other abnormal reasons and dealing with them includes: Collecting the construction environment conditions, conducting diagnostic analysis, generating normal data and abnormal data of the construction environment, and giving early warnings according to the abnormal data of the construction environment. The construction environment conditions include weather temperature, rainfall, air pollution situation, and ultraviolet intensity.

[0033] Further, it includes:

[0034] Allocating estimated engineering quantities and expected construction days for each project task, including:

[0035] Obtaining the preset construction days of the overall power grid project, dividing multiple project modules according to the types of work and importance levels of the power grid project; extracting the project tasks in each project module, and allocating construction days for each project task according to the allocation of construction personnel, and then forming a preset daily construction progress value according to the importance and difficulty of each process in the project task, and generating a construction progress curve for the project task accordingly; wherein, the allocation method of construction personnel is: obtaining the optimal solution of a pre-designed matching model according to the constraint conditions, and obtaining the scheduling information of relevant construction personnel from the result corresponding to the optimal solution, wherein the matching model includes: taking the shortest total construction period of the power grid project as the objective function or taking the minimum total cost as the objective function or taking the highest safety level as the objective function, and setting corresponding constraint conditions according to the objective function.

[0036] On the other hand, the present invention also provides a power grid project manual work efficiency analysis system for intelligent safety helmet data collection, and the system includes:

[0037] An allocation module, configured to divide the construction area corresponding to the power grid project into multiple project modules, and each project module includes the same or different project tasks;

[0038] A plan formulation module, configured to formulate a total construction plan according to the scheduled delivery time and construction difficulty of the power grid project, specifically including: allocating estimated engineering quantities and expected construction days for each project task, allocating the total number of corresponding construction personnel and supporting equipment;

[0039] A motion state monitoring module, configured to match the basic information of the construction personnel through the intelligent safety helmet, so as to monitor the daily motion state information of the corresponding construction personnel according to the basic information;

[0040] A construction progress monitoring module, configured to monitor the construction progress of each project module in real time, and once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is performed, specifically:

[0041] A progress monitoring unit, configured to detect whether the progress of all project tasks in the current project module reaches the expected construction progress. If there is a project task whose progress does not reach the expected construction progress, at this time, store the uncompleted workload, and determine that the current project module does not reach the expected construction progress;

[0042] The progress monitoring unit first determines the work conditions of the construction workers for the current day and the previous period of the corresponding project tasks based on the motion state information of the intelligent safety helmets. If the progress is unqualified due to the manual work efficiency of the construction workers, the construction workers will be scheduled according to the uncompleted workload. Otherwise, other abnormal reasons will be judged and processed. Otherwise, if the project tasks in the current project module reach the expected construction progress, the over-completed workload will be recorded and other project modules will continue to be monitored.

[0043] The delivery time determination module is used to obtain the project module with the latest workload to complete the corresponding project module according to the current construction progress of each project module, and use its actual required delivery time as the actual delivery time of the power grid project, and compare it with the predetermined delivery time. If it is later than the predetermined delivery time, scheduling processing will be carried out and recalculated for comparison. Otherwise, the monitoring will end.

[0044] Furthermore, it includes:

[0045] In the progress monitoring unit, if the progress is unqualified due to the manual work efficiency of the construction workers, the construction workers will be scheduled according to the uncompleted workload, including:

[0046] Confirm the construction progress of the project tasks that have not reached the expected construction progress in the current project module, store the uncompleted workload, and confirm the basic information of the construction workers corresponding to the project tasks and the work conditions of each construction worker for the current day and the previous period. The basic information includes the following factors: the name of the construction worker, working years, level, type of work, and basic salary. If it is caused by the non-standard behavior of the construction worker on the current day, a reminder will be given to him. Otherwise, if it is caused by the operation actions of the construction worker on the current day and the previous period, according to the uncompleted workload, it is confirmed whether to schedule the construction worker or only give a reminder. The non-standard behavior is a behavior that does not conform to the safety production specification, which is obtained by parsing the intelligent safety helmet.

[0047] The confirmation of whether to schedule the construction worker or only give a reminder specifically includes:

[0048] If the uncompleted workload in the current project task is significantly less than the total over-completed workload in this project module and other project modules, a reminder will be given to the relevant construction workers. The significant less is that the uncompleted workload accounts for less than 20% of the total over-completed workload in this project module and other project modules. Otherwise,

[0049] If the amount of unfinished work in the current project task is less than the total amount of over-fulfilled work in this project module and other project modules, then read the basic information of the corresponding construction workers, and traverse the other project tasks in this project module and the basic information of the construction workers in other project modules. Using the type of work as the main matching factor and setting the corresponding thresholds for other factors, calculate the obtained value, and compare this value with the set result threshold. The construction workers whose value is greater than or equal to the set result threshold are taken as the dispatching objects, where "less than" means: the proportion of the unfinished work in the total amount of over-fulfilled work in this project module and other project modules is 20% to 50%;

[0050] Otherwise, if the proportion of the unfinished work in the current project task in the total amount of over-fulfilled work in this project module and other project modules is more than 50%, then it is necessary to dispatch the construction workers in other power grid projects.

[0051] Further, it includes:

[0052] The operation actions of the construction workers on the current day and in the early stage include:

[0053] Abnormalities in attendance time and range: The punch-in time of the construction workers from the first day to the current day for going to work and getting off work, and the movement range of the construction workers;

[0054] Level matching: If the attendance time and range of the construction workers are normal, determine whether the working years and levels of the construction workers match, and confirm whether the type of work corresponds to the type of this project task;

[0055] Workload confirmation: According to the daily construction plan, determine whether the construction progress on the current day has reached the specified construction progress. If it has, record the over-fulfilled construction workload; otherwise, record the unfinished construction workload on the current day; Combine the previously accumulated over-fulfilled construction workload or unfinished construction workload to determine the construction progress of this project task.

[0056] Further, it includes:

[0057] In the above workload confirmation, determining the construction progress of this project task includes:

[0058] If after offsetting the previously accumulated over-fulfilled construction workload and the unfinished construction workload on the current day, it still exceeds the specified construction progress, then record it as the construction progress of the project task exceeding the expectation, and record the over-fulfilled construction workload;

[0059] Otherwise, if after offsetting the previously accumulated over-fulfilled construction workload and the unfinished construction workload on the current day, it does not exceed the specified construction progress, then record it as the construction progress of the project task not reaching the expectation, and record the unfinished construction workload;

[0060] The sum of the uncompleted construction workload accumulated in the early stage and the uncompleted construction workload on the current day is recorded as the uncompleted construction workload of the current project task; otherwise, if the uncompleted construction workload accumulated in the early stage and the over-completed construction workload on the current day are offset and the expected construction progress is not achieved, it is recorded that the project task has not achieved the expected construction progress, and the uncompleted construction workload is recorded.

[0061] Otherwise, if the uncompleted construction workload accumulated in the early stage and the over-completed construction workload on the current day are offset and the specified construction progress is achieved, it is recorded that the project task has exceeded the specified construction progress, and the over-completed construction workload is recorded.

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

[0063] (1) The present invention first modularizes the construction area of the power grid project and monitors the construction progress of each project module in real time. Once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is carried out to timely discover abnormal situations at the construction site and accurately grasp information such as the construction process and construction environment.

[0064] (2) The present invention further detects whether the progress of all project tasks in the current project module has reached the expected construction progress. If there is a project task whose progress has not reached the expected construction progress, at this time, the uncompleted workload is stored, and it is determined that the current project module has not reached the expected construction progress. The present invention first determines the work situation of the construction personnel on the current day and in the early stage according to the motion state information of the intelligent safety helmet. If the progress is unqualified due to the manual work efficiency of the construction personnel, the construction personnel can be scheduled according to the uncompleted workload, and abnormal situations of the construction personnel can be timely discovered and processed, which helps to improve the construction efficiency.

[0065] (3) Different treatments are carried out for different abnormal situations of the construction personnel. If it is caused by the non-standard behavior of the construction personnel on the current day, they will be reminded; this kind of non-standard behavior more often leads to safety problems and there is not much difference in progress, so they are reminded. And if it is caused by the operation actions of the construction personnel on the current day and in the early stage, according to the uncompleted workload, it is confirmed whether to schedule the construction personnel or only give a reminder, so that the scheduling allocation of project tasks can be reasonably optimized, the resource allocation can be optimized, and the construction quality can be improved.

[0066] (4) The present invention provides a calculation method for the proportion corresponding to the unqualified construction progress of project tasks. Since the unqualified construction progress may be caused by different reasons, the present invention avoids calculating the proportion of unqualified construction progress using a single reason, which does not meet the actual construction requirements. Therefore, the proportion calculated based on the unqualified construction progress caused by different reasons and different solutions are adopted, which not only better conforms to the actual situation of the construction site, has a higher degree of intelligence, but also can reduce costs and unnecessary personnel supplement. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a flowchart of the artificial work efficiency analysis method for power grid projects based on intelligent safety helmet data according to an embodiment of the present invention;

[0068] Figure 2 It is a flowchart of the method for judging whether the progress of all project tasks in the current project module reaches the expected construction progress according to an embodiment of the present invention;

[0069] Figure 3 It is a flowchart of the method for determining the relevant behaviors of construction workers that cause slow project tasks according to an embodiment of the present invention;

[0070] Figure 4 It is a flowchart of the method for confirming whether to dispatch construction workers or only give reminders according to an embodiment of the present invention;

[0071] Figure 5 It is a flowchart of the method for determining the construction progress of the project task during workload confirmation according to an embodiment of the present invention;

[0072] Figure 6 It is an example schematic diagram for calculating the current construction progress of a certain project task according to an embodiment of the present invention;

[0073] Figure 7 It is a schematic structural diagram of the artificial work efficiency analysis system for power grid projects with intelligent safety helmet data acquisition according to an embodiment of the present invention;

[0074] Figure 8 It is a closed-loop data flow architecture diagram formed by the artificial work efficiency analysis with intelligent safety helmet data acquisition for power grid projects according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0075] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0076] Such asFigure 1 As shown in the figure, the present invention provides a method for analyzing the manual work efficiency of power grid projects based on intelligent safety helmet data, which adopts the following steps:

[0077] S1 Divide the construction area corresponding to the power grid project into multiple project modules, and each project module includes the same or different project tasks; formulate a general construction plan according to the scheduled delivery time and construction difficulty of the power grid project, specifically including: allocating estimated engineering quantities and expected construction days for each project task, allocating the total number of corresponding construction personnel, and supporting equipment.

[0078] For example, the project modules that a power grid project may include are power grid infrastructure projects, technical transformation projects, safety and service projects, and power grid production auxiliary facility projects. Taking the infrastructure project module of the power grid project as an example, it may include the following project tasks: 1. Site layout: Determine the site layout plan, complete the positioning measurement, and build temporary construction facilities, including building enclosures, offices, worker dormitories, etc. 2. Earthwork excavation: Excavate or fill the site according to the design requirements. Include site leveling, trenching, pitting, foundation pit excavation, etc. 3. Formwork engineering: Build the corresponding formwork structure according to the structural design plan to ensure the accuracy and quality of construction. Include building steel formwork, wooden formwork, etc. 4. Steel bar processing and installation: Steel bars are the framework of concrete structures and must be installed firmly and precisely. Include steel bar member processing, steel bar bundling and welding. 5. Concrete pouring: Pour concrete according to the concrete construction drawings and instructions. Include pouring floors, walls, floors, etc. 6. Masonry work: Mainly includes bricklaying, stonework, etc. Carry out masonry work according to the design requirements. 7. Door and window installation: Include installing door and window frames, partitions, etc. 8. Installation of lighting and weak electricity: Include burying pipes, laying pipes, wiring, etc. 9. Painting and coating work: Carry out painting, spraying, plastering and other coating works according to the design requirements. 10. Installation of pipelines: Include water supply pipelines, drainage pipelines, ventilation pipelines, etc. 11. Completion acceptance: Complete the construction work and pass the acceptance.

[0079] Allocate corresponding construction personnel for the above project tasks. First, obtain the preset construction days of the overall power grid project. The preset construction days can be obtained from the project book of the power grid project. Divide multiple project modules according to the work types and importance levels of the power grid project; extract the project tasks in each project module, and allocate construction days for each project task according to the allocation of construction personnel. Furthermore, form a daily preset construction progress value according to the importance and difficulty of each process in the project task, and generate a construction progress curve for the project task accordingly.

[0080] In a project module as described above, it may include 11 project tasks. For each project task, corresponding construction workers and construction days are allocated in combination with its importance, difficulty, and according to the types of work and years of work experience of the construction workers. And the construction tasks for each day are clear. For example, in the second project task of earth excavation, according to the design requirements, the site is excavated or filled. It includes site leveling, trench digging, pit digging, foundation pit digging, etc. It is preset that 6 people will complete it in 5 days, and based on this, a construction progress curve for the project task is generated. The abscissa of this curve is the number of days, and the ordinate is the corresponding construction progress of the project task. The construction workers set do different processes according to their types of work, and a daily progress curve for each construction worker is formed.

[0081] In this embodiment, the construction progress of this project task is calculated based on the progress of the processes. For example, this project task includes 3 processes, and each process is completed by 2 construction workers within 5 days. On the first day, 1 / 5 of the workload of this project task needs to be completed. If the slowest one of the three parallel processes has only completed 1 / 6, it is considered that the corresponding construction progress has not been achieved on the first day. On the contrary, if the slowest one of the three parallel processes has completed 1 / 4, it means that the workload has been exceeded. Other daily times are calculated in the above manner. This method can only be used for the situation at the first monitoring. If there is accumulated uncompleted workload or exceeded workload, additional processing is required.

[0082] Among them, the allocation method of construction workers in this embodiment is: obtaining the optimal solution for the pre-designed matching model according to the constraint conditions, calculating the optimal solution using the genetic algorithm, and obtaining the scheduling information of relevant construction workers from the result corresponding to the optimal solution. Among them, the matching model includes: taking the shortest total construction period of the power grid project as the objective function, or taking the minimum total cost as the objective function, or taking the highest safety level as the objective function, and setting corresponding constraint conditions according to the objective function.

[0083] S2 matches the basic information of the construction workers through intelligent safety helmets, so as to monitor the daily motion state information of the corresponding construction workers according to the basic information;

[0084] In this embodiment, an RFID tag is attached to the intelligent safety helmet. The server can read the information in the RFID tag of the safety helmet worn by construction workers through RFID, so as to realize the functions of construction worker identification, area access permission management, working hour measurement, intelligent positioning, and safety prompt, and summarize and visually display the data in BIM. Specifically, the RFID tag is placed at the top inside of the safety helmet, and basic information such as the name, age, type of work, and access area of the construction worker is pre-written; the RFID reader and the audible and visual alarm are pre-set at the entrances and exits of each floor, elevator entrances and exits, electric welding operation areas, and steel bar processing areas and other special working areas at the construction site, and a list of personnel allowed to enter the corresponding area is pre-set in the RFID reader. The server background records the time when the RFID reader reads the construction workers entering and leaving the work area, and calculates the difference between the two times as the working time of the worker, and imports the personal information and working hour information into the BIM model, providing a basis for the wage settlement and project quantity calculation of construction workers, so as to realize the working hour measurement function of construction workers.

[0085] S3 monitors the construction progress of each project module in real time. Once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is carried out.

[0086] In this embodiment, the real-time monitoring is carried out in the way that different project modules are carried out simultaneously, because the project modules may be carried out in parallel or in a sequential time order. Specifically:

[0087] As Figure 2 shown, it is detected whether the progress of all project tasks in the current project module has reached the expected construction progress. If there is a project task whose progress has not reached the expected construction progress, at this time, the uncompleted workload is stored, and it is determined that the current project module has not reached the expected construction progress. In this embodiment, as Figure 6 shown, it includes two project modules, and each of the two project modules includes 3 project tasks and 5 project tasks respectively.

[0088] First, determine the work situation of the construction workers on the current day and in the early stage corresponding to the project tasks according to the motion state information of the intelligent safety helmet. If the progress is unqualified due to the manual work efficiency of the construction workers, the construction workers are scheduled according to the uncompleted workload. Otherwise, other abnormal reasons are judged and processed; otherwise, if the project tasks in the current project module reach the expected construction progress, the over-completed workload is recorded, and other project modules are continuously monitored.

[0089] In this embodiment, there may be multiple project tasks that do not meet the expected progress. In such a case, decomposition processing is performed to determine the reasons for the unqualified progress of each project task. Also in this embodiment, other abnormal reasons are determined and processed, including: collecting the construction environment conditions, performing diagnostic analysis, generating normal data and abnormal data of the construction environment, and issuing a warning based on the abnormal data of the construction environment. The construction environment conditions include weather temperature, rainfall, air pollution situation, and ultraviolet intensity.

[0090] Specifically, in this embodiment, as Figure 3 shown, first, confirm the construction progress of the project tasks in the current project module that have not reached the expected construction progress, store the unfinished workload, and confirm the basic information of the construction personnel corresponding to the project tasks and the work conditions of each construction personnel on the current day and in the previous period. The basic information includes the following factors: the name, working years, level, type of work, and basic salary of the construction personnel. If it is caused by the non-standard behavior of the construction personnel on the current day, the relevant construction personnel will be reminded; otherwise, if it is caused by the operation actions of the construction personnel on the current day and in the previous period, then according to the unfinished workload, determine whether to dispatch the construction personnel or only give a reminder. The non-standard behavior is a behavior that does not conform to the safety production specifications, which is obtained by parsing the intelligent safety helmet, such as not wearing the safety helmet correctly.

[0091] In this embodiment, as Figure 4 shown, the determination of whether to dispatch the construction personnel or only give a reminder specifically includes:

[0092] If the unfinished workload in the current project task is significantly less than the total amount of over-completed workload in this project module and other project modules, the relevant construction personnel will be reminded. The significantly less here means that the unfinished workload accounts for less than 20% of the total amount of over-completed workload in this project module and other project modules.

[0093] In this embodiment, as Figure 6 shown, taking project task 1 of project module 1 as the current project task as an example, if the unfinished workload in project task 1 on the current day is 1 / 3 and there is no record of unfinished workload in the previous period. Therefore, if the number of construction days is 5, the unfinished workload in project task 1 on the current day is simply calculated as 1 / 15. Moreover, assuming that there is no over-completed workload in other project tasks in this module and the total amount of over-completed workload recorded in project module 1 is 1 / 2, the proportion of the unfinished workload to the total amount of over-completed workload in this project module and other project modules is: (1 / 15) / (1 / 2) = 2 / 15, approximately equal to 13%. The unfinished workload is relatively small, and the relevant construction personnel can be reminded and urged.

[0094] Otherwise, if the uncompleted workload in the current project task is less than the total over-completed workload in this project module and other project modules, read the basic information of the corresponding construction workers, and traverse the other project tasks in this project module and the basic information of the construction workers in other project modules. Use the type of work as the main matching factor, set the corresponding thresholds for other factors, calculate the relevant values, and compare the relevant values with the set result threshold. The construction workers whose values are greater than or equal to the set result threshold are used as the scheduling objects. This can schedule the construction workers with over-completed workload to the project tasks with slow work progress and optimize resource allocation. Here, "less than" means that the proportion of the uncompleted workload in the total over-completed workload in this project module and other project modules is 20% to 50%;

[0095] In this embodiment, if the weight corresponding to the type of work of the construction worker is set to 0.8 and the sum of the weights of other factors is set to 0.2, the corresponding result value is obtained based on this weight, and this value is compared with the preset result threshold to obtain the construction workers who meet the conditions.

[0096] Otherwise, if the proportion of the uncompleted workload in the current project task in the total over-completed workload in this project module and other project modules is more than 50%, it is necessary to schedule the construction workers in other power grid projects.

[0097] The calculation methods for these two situations are similar to those above and will not be elaborated here. And in this embodiment, the above ratios are obtained based on work experience and will be different for different projects.

[0098] Furthermore, this embodiment further includes:

[0099] In step S3, the operation actions of the construction workers on the current day and in the early stage include:

[0100] This step mainly looks for abnormal situations of the construction workers so as to handle different abnormalities differently. For example:

[0101] Abnormalities in attendance time and range: The punch-in time for going to work and leaving work of the construction worker from the first day to the current day and the movement range of the construction worker; For example, the phenomenon of early leaving or being late by the construction worker is also one of the important reasons for slow work progress.

[0102] Level matching: If the attendance time and range of the construction worker are normal, determine whether the working years and level of the construction worker are matched, and confirm whether the type of work corresponds to the type of this project task; For these two situations, the server can obtain the data according to the RFID reader. If the working years do not match the corresponding process difficulty, it may lead to slow progress.

[0103] Based on the above reasons, the server calculates the specific situation of the workload of the construction workers in units of a task project.

[0104] Workload confirmation: Determine whether the construction progress of the current day has reached the expected construction progress according to the daily construction plan. If it has reached, record the construction workload that has been completed in excess; otherwise, record the construction workload that has not been completed on the current day. Combine the previously accumulated construction workload that has been completed in excess or the construction workload that has not been completed to determine the construction progress of the project task.

[0105] As Figure 5 shown, in the workload confirmation, the method for determining the current construction progress of the project task includes:

[0106] If, after the previously accumulated construction workload that has been completed in excess and the construction workload that has not been completed on the current day are offset, it still exceeds the expected construction progress, record that the project task exceeds the expected construction progress and record the construction workload that has been completed in excess;

[0107] Otherwise, if, after the previously accumulated construction workload that has been completed in excess and the construction workload that has not been completed on the current day are offset, it does not exceed the specified construction progress, record that the project task has not reached the expected construction progress and record the construction workload that has not been completed;

[0108] The sum of the previously accumulated construction workload that has not been completed and the construction workload that has not been completed on the current day is recorded as the construction workload that has not been completed for the current project task;

[0109] Otherwise, if, after the previously accumulated construction workload that has not been completed and the construction workload that has been completed in excess on the current day are offset, it does not reach the expected construction progress, record that the project task has not reached the expected construction progress and record the construction workload that has not been completed;

[0110] Otherwise, if, after the previously accumulated construction workload that has not been completed and the construction workload that has been completed in excess on the current day are offset, it reaches the expected construction progress, record that the project task exceeds the expected construction progress and record the construction workload that has been completed in excess.

[0111] S4 Obtain the project module with the latest workload to complete the corresponding project module according to the current construction progress of each project module, and use its actual required delivery time as the actual delivery time of the power grid project. Compare it with the predetermined delivery time. If it is later than the predetermined delivery time, perform scheduling processing and then recalculate and compare. Otherwise, end this monitoring and return to step S2 for the next monitoring.

[0112] In this embodiment, this monitoring combines the progress of each project module. Before adjusting the construction personnel, the delivery time corresponding to the power grid project can be estimated. After personnel adjustment and scheduling, continue monitoring, and the delivery time corresponding to the power grid project can be estimated. If it is earlier than the delivery time, directly continue monitoring. If it is still later than the delivery time, perform operations such as supplementing construction personnel and then further monitor.

[0113] On the other hand, the present invention also provides a grid project artificial work efficiency analysis system for intelligent safety helmet data collection, which system includes:

[0114] An allocation module, configured to divide the construction area corresponding to the grid project into multiple project modules, and each project module includes the same or different project tasks;

[0115] A plan formulation module, configured to formulate a general construction plan according to the scheduled delivery time and construction difficulty of the grid project, specifically including: allocating an estimated workload and expected construction days for each project task, allocating the total number of corresponding construction personnel and supporting equipment;

[0116] A motion state monitoring module, configured to match the basic information of the construction personnel through the intelligent safety helmet, so as to monitor the daily motion state information of the corresponding construction personnel according to the basic information;

[0117] A construction progress monitoring module, configured to monitor the construction progress of each project module in real time. Once the construction progress of a certain project module on a certain day is different from the expected construction progress, corresponding processing is performed. Specifically:

[0118] A progress monitoring unit, configured to detect whether the progress of all project tasks in the current project module reaches the expected construction progress. If there is a project task whose progress does not reach the expected construction progress, at this time, store the uncompleted workload and determine that the current project module does not reach the expected construction progress;

[0119] The progress monitoring unit first determines the work conditions of the construction personnel on the current day and in the previous period corresponding to the project task according to the motion state information of the intelligent safety helmet. If the progress is unqualified due to the artificial work efficiency of the construction personnel, the construction personnel are scheduled according to the uncompleted workload. Otherwise, other abnormal reasons are judged and processed; otherwise, if the project tasks in the current project module reach the expected construction progress, record the over-completed workload and continue to monitor other project modules;

[0120] A delivery time determination module, configured to obtain the project module with the latest workload to complete the corresponding project module according to the current construction progress of each project module, and use its actual required delivery time as the actual delivery time of the grid project, and compare it with the scheduled delivery time. If it is later than the scheduled delivery time, scheduling processing is performed and then recalculated and compared. Otherwise, the monitoring ends.

[0121] Further, in this embodiment, it includes:

[0122] In the progress monitoring unit, if the progress is unqualified due to the artificial work efficiency of the construction personnel, the construction personnel are scheduled according to the uncompleted workload, including:

[0123] Confirm the construction progress of the project tasks that have not reached the expected construction progress in the current project module, store the uncompleted workload, and confirm the basic information of the construction personnel corresponding to the project tasks and the work conditions of each construction personnel on the current day and in the previous period. The basic information includes the following factors: the name, working years, level, type of work, and basic salary of the construction personnel. If it is caused by the irregular behavior of the construction personnel on the current day, give them a reminder; otherwise, if it is caused by the operation actions of the construction personnel on the current day and in the previous period, according to the uncompleted workload, confirm whether to dispatch the construction personnel or only give a reminder. The irregular behavior is an act that does not conform to the safety production regulations, which is obtained by parsing the intelligent safety helmet;

[0124] The confirmation of whether to dispatch the construction personnel or only give a reminder specifically includes:

[0125] If the uncompleted workload in the current project task is significantly less than the total amount of over-completed workload in this project module and other project modules, give a reminder to the relevant construction personnel. The significantly less means that the uncompleted workload is within 20% of the total amount of over-completed workload in this project module and other project modules. Otherwise,

[0126] If the uncompleted workload in the current project task is less than the total amount of over-completed workload in this project module and other project modules, read the basic information of the corresponding construction personnel, and traverse the basic information of other project tasks in this project module and the construction personnel in other project modules. Take the type of work as the main matching factor, set the corresponding thresholds for other factors, calculate the obtained value, and compare this value with the set result threshold. The construction personnel whose value is greater than or equal to the set result threshold are used as the dispatching objects. The less means that the proportion of the uncompleted workload in the total amount of over-completed workload in this project module and other project modules is 20% to 50%;

[0127] Otherwise, if the proportion of the uncompleted workload in the current project task in the total amount of over-completed workload in this project module and other project modules is more than 50%, it is necessary to dispatch the construction personnel in other power grid projects.

[0128] In this embodiment, further, it includes:

[0129] The operation actions of the construction personnel on the current day and in the previous period include:

[0130] Abnormal attendance time and range: the commuting punch-in time of the construction personnel from the first day to the current day and the movement range of the construction personnel;

[0131] Level matching: The attendance time and scope of construction workers are normal. Determine whether the working years and levels of construction workers match, and confirm whether the types of work are corresponding to the types of tasks of this project.

[0132] Workload confirmation: According to the daily construction plan, determine whether the construction progress of the current day has reached the specified construction progress. If it has, record the construction workload completed in excess; otherwise, record the construction workload not completed on the current day. Combine the construction workload completed in excess or not completed in the early stage to determine the construction progress of this project task.

[0133] In this embodiment, further, it includes:

[0134] In the workload confirmation, determining the construction progress of this project task includes:

[0135] If the construction workload completed in excess in the early stage and the construction workload not completed on the current day are offset and still exceed the specified construction progress, record it as the construction progress of the project task exceeding the expectation, and record the construction workload completed in excess.

[0136] Otherwise, if the construction workload completed in excess in the early stage and the construction workload not completed on the current day are offset and do not exceed the specified construction progress, record it as the construction progress of the project task not reaching the expectation, and record the construction workload not completed.

[0137] The sum of the construction workload not completed in the early stage and the construction workload not completed on the current day is recorded as the construction workload not completed of the current project task; otherwise, if the construction workload not completed in the early stage and the construction workload completed in excess on the current day are offset and do not reach the expected construction progress, record it as the construction progress of the project task not reaching the expectation, and record the construction workload not completed.

[0138] Otherwise, if the construction workload not completed in the early stage and the construction workload completed in excess on the current day are offset and reach the specified construction progress, record it as the construction progress of the project task exceeding the specified progress, and record the construction workload completed in excess.

[0139] Other technical features of the system described in the embodiments of the present invention are similar to the corresponding artificial work efficiency dynamic analysis method based on intelligent safety helmet data collection, and will not be elaborated here.

[0140] As Figure 8 shown, the present invention also provides a closed-loop data flow architecture for artificial work efficiency dynamic analysis based on intelligent safety helmet data collection, including:

[0141] The basic layer is the basis for artificial work efficiency dynamic analysis, providing a basis for the measurement and calculation of artificial work efficiency dynamic analysis data, and is composed of standard process support, technical support, and the measurement and collection of basic data.

[0142] The data layer, which is the core of the dynamic analysis of ergonomics, converts basic data into reference indicators and consists of data processing technologies and data products.

[0143] The application layer is an extension of the dynamic analysis of ergonomics. It forms solutions or software and hardware products according to the specific application scenario requirements for various indicators.

[0144] Preferably, according to the closed-loop data flow architecture, the preprocessing of the collected data by the basic layer includes:

[0145] Classify the collected data according to the types of power construction projects, summarize them according to the corresponding sub-items and step distances of the standard processes, and eliminate the data with too large deviation from the mean.

[0146] Preferably, according to the closed-loop data flow architecture, the data processing technologies include:

[0147] Using methods such as analytic hierarchy process and support vector machine, combine the basic data such as time, output, and influencing factors after the preprocessing with the project information to calculate the ergonomics and related indicators. Among them, the analytic hierarchy process is used to determine the weights of the influencing factors of ergonomics, screen out the main influencing factors, and reasonably calculate the ergonomics level; the support vector machine is used for prediction and classification, making the predicted value close to the actual value, and minimizing the prediction error within a certain tolerance range to verify the rationality and accuracy of the calculation.

[0148] Preferably, according to the closed-loop data flow architecture, the data products include:

[0149] Integrate the data such as ergonomics output by the data layer to realize the return and application of effective data. The application layer will form software and hardware products or solutions for the use of all parties involved in the construction of the power grid project for specific application scenarios faced by various indicators. The closed-loop data flow architecture of the dynamic analysis of ergonomics, through the feedback mechanism, continues to import the ergonomics data recovered by the application layer into the basic layer as a reference to realize the real-time analysis and dynamic update of ergonomics.

[0150] The present invention determines the manual consumption in the construction process based on the data collected by the intelligent safety helmet, effectively promotes the real-time update and rolling accumulation of the manual consumption data, and improves the accuracy of the manual consumption data; at the same time, the closed-loop data flow of the dynamic analysis of ergonomics can collect the basic data at the end measured and collected by the construction unit in real time and continuously, meet the usage requirements of all parties in the project construction, help to improve the scientific nature of the enterprise's cost management, and promote the healthy development of the power market.

[0151] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn of the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0152] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present invention without departing from the spirit and scope of the embodiments of the present invention. Thus, if these modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for analyzing the labor efficiency of power grid engineering based on intelligent helmet data, characterized by: Use the following steps: S1 divides the construction area corresponding to the power grid project into multiple project modules, each of which includes the same or different project tasks; formulates a general construction plan based on the scheduled delivery time and construction difficulty of the power grid project, including: allocating estimated construction volume and expected construction days for each project task, allocating the corresponding total number of construction personnel and supporting equipment; S2 matches the basic information of the construction workers through the smart helmet, and monitors the movement status information of the corresponding construction workers on the day according to the basic information; S3 monitors the construction progress of each project module in real time. Once the construction progress of a project module on that day is different from the expected construction progress, corresponding processing will be carried out. Specifically: Check whether the progress of all project tasks in the current project module has reached the expected construction progress. If there is a project task that has not reached the expected construction progress, then store the unfinished workload and determine that the current project module has not reached the expected construction progress. At this time, first determine the work status of the construction personnel of the corresponding project task on the day and in the previous period according to the motion state information of the smart safety helmet. If the progress is unqualified due to the manual work efficiency of the construction personnel, the construction personnel will be dispatched according to the unfinished workload. Otherwise, determine other abnormal reasons and handle them; otherwise, if the project tasks in the current project module have reached the expected construction progress, record the excess workload and continue to monitor other project modules; S4 obtains the project module that completes the latest workload of the corresponding project module according to the current construction progress of each project module, takes the actual delivery time required by the project module as the actual delivery time of the power grid project, and compares it with the scheduled delivery time. If it is later than the scheduled delivery time, recalculate and compare after scheduling. Otherwise, end this monitoring and return to step S2 for the next monitoring. In step S3, if the progress is unsatisfactory due to the labor efficiency of the construction personnel, the construction personnel are dispatched according to the unfinished workload, including: Confirm the construction progress of the project tasks that have not reached the expected construction progress in the current project module, store the unfinished workload, and confirm the basic information of the construction personnel corresponding to the project task and the work status of each construction personnel on the day and in the previous period. The basic information includes the following factors: the name, years of service, grade, type of work, and basic salary of the construction personnel. If it is caused by the irregular behavior of the construction personnel on the day, the relevant construction personnel will be reminded; otherwise, if it is caused by the operation actions of the construction personnel on the day and in the previous period, then according to the unfinished workload, confirm whether to dispatch the construction personnel or just remind them. The irregular behavior is the behavior that does not comply with the safety production specifications, which is obtained by the analysis of the smart safety helmet; The confirmation is whether to dispatch construction personnel or just to remind them, specifically including: If the unfinished workload in the current project task is significantly less than the total amount of over-fulfilled workload in this project module and other project modules, the relevant construction personnel will be reminded. The term "significantly less" means that the unfinished workload accounts for less than 20% of the total amount of over-fulfilled workload in this project module and other project modules. Otherwise, If the unfinished workload in the current project task is less than the sum of the over-completed workload in this project module and other project modules, the basic information of the corresponding construction personnel is read, and the other project tasks in this project module and the basic information of the construction personnel in other project modules are traversed. The type of work is used as the main matching factor, and the corresponding thresholds of other factors are set. The relevant values ​​are calculated and compared with the set result thresholds. The construction personnel who are greater than or equal to the set result threshold are selected as the scheduling objects, where the less than is: the unfinished workload accounts for 20% to 50% of the total over-completed workload in this project module and other project modules; Otherwise, if the unfinished workload in the current project task accounts for more than 50% of the total over-completed workload in this project module and other project modules, construction personnel in other power grid projects need to be dispatched.

2. A method for analyzing power grid engineering labor efficiency based on intelligent helmet data as claimed in claim 1, characterized in that: In step S3, the operations of the construction personnel on the day and in the previous period include: Abnormal attendance time and scope: the construction workers’ clocking in and out times from the first day to the current day and the construction workers’ movement scope; Grade matching: The attendance time and scope of the construction personnel are normal, determine whether the construction personnel's working years and grades match, and confirm whether the type of work corresponds to the type of task of the project; Workload confirmation: Determine whether the construction progress of the day reaches the expected construction progress based on the daily construction plan. If it does, record the excess construction workload; otherwise, record the unfinished construction workload of the day; determine the construction progress of the project task based on the previous accumulated excess construction workload or unfinished construction workload.

3. A method for analyzing power grid engineering labor efficiency based on smart helmet data as claimed in claim 2, characterized in that: In the workload confirmation, the construction progress of the project task is determined including: If the cumulative over-completed construction workload in the previous period is offset by the uncompleted construction workload on the current day, and still exceeds the expected construction progress, it will be recorded as the project task exceeding the expected construction progress, and the over-completed construction workload will be recorded; Otherwise, if the cumulative excess construction workload in the previous period is offset by the unfinished construction workload on the day, and the construction progress does not exceed the prescribed progress, it will be recorded as the project task failing to reach the expected construction progress, and the unfinished construction workload will be recorded; The sum of the previous accumulated unfinished construction workload and the unfinished construction workload on the current day is recorded as the unfinished construction workload of the current project task; Otherwise, if the expected construction progress is not achieved after the cumulative unfinished construction workload in the previous period is offset by the over-completed construction workload on the day, it will be recorded as the project task not achieving the expected construction progress, and the unfinished construction workload will be recorded; Otherwise, if the accumulated unfinished construction workload in the previous period is offset by the over-completed construction workload on the day, reaching the expected construction progress, it will be recorded as the project task exceeding the expected construction progress, and the over-completed construction workload will be recorded.

4. A method for analyzing power grid engineering labor efficiency based on intelligent helmet data as claimed in claim 1, characterized in that: The determining of other abnormal causes and processing thereof include: collecting construction environment conditions, performing diagnostic analysis, and then generating normal construction environment data and abnormal construction environment data, and issuing early warnings based on the abnormal construction environment data, wherein the construction environment conditions include weather temperature, rainfall, air pollution, and ultraviolet intensity.

5. A method for analyzing power grid engineering labor efficiency based on smart helmet data according to any one of claims 1 to 3, characterized in that: The estimated construction volume and expected construction days are allocated to each project task, including: The preset construction days of the overall power grid project are obtained, and a plurality of project modules are divided according to the types of work and importance of the power grid project; the project tasks in each project module are extracted, and construction days are allocated to each project task according to the allocation of construction personnel, and then a preset daily construction progress value is formed according to the importance and difficulty of each process in the project task, and a construction progress curve of the project task is generated accordingly; wherein, the allocation method of the construction personnel is as follows: according to the constraint conditions, the optimal solution of the pre-designed matching model is obtained, and the scheduling information of the relevant construction personnel is obtained from the result corresponding to the optimal solution, wherein the matching model includes: taking the shortest total construction period of the power grid project as the objective function, taking the minimum total cost as the objective function, or taking the highest safety level as the objective function, and setting the corresponding constraint conditions according to the objective function.

6. A power grid engineering labor efficiency analysis system for intelligent helmet data collection, characterized by: The system includes: An allocation module, used to divide the construction area corresponding to the power grid project into multiple project modules, each project module including the same or different project tasks; The planning module is used to formulate a general construction plan based on the scheduled delivery time and construction difficulty of the power grid project, including: allocating estimated construction volume and expected construction days for each project task, allocating the corresponding total number of construction personnel and supporting equipment; A motion status monitoring module is used to match the basic information of the construction personnel through the smart safety helmet, so as to monitor the motion status information of the corresponding construction personnel on the day according to the basic information; The construction progress monitoring module is used to monitor the construction progress of each project module in real time. Once the construction progress of a project module on that day is different from the expected construction progress, corresponding processing will be carried out. Specifically: The progress monitoring unit is used to detect whether the progress of all project tasks in the current project module has reached the expected construction progress. If the progress of any project task has not reached the expected construction progress, the unfinished workload is stored and it is determined that the current project module has not reached the expected construction progress. The progress monitoring unit first determines the work status of the construction personnel of the corresponding project task on the day and in the previous period according to the motion status information of the smart helmet. If the progress is unsatisfactory due to the labor efficiency of the construction personnel, the construction personnel will be dispatched according to the unfinished workload. Otherwise, other abnormal reasons will be determined and handled. Otherwise, if the project task in the current project module reaches the expected construction progress, the excess workload will be recorded and other project modules will continue to be monitored. The delivery time determination module is used to obtain the project module that completes the latest workload of the corresponding project module according to the current construction progress of each project module, and use the actual delivery time as the actual delivery time of the power grid project, and compare it with the scheduled delivery time. If it is later than the scheduled delivery time, recalculate and compare after scheduling, otherwise, end the monitoring; In the progress monitoring unit, if the progress is unsatisfactory due to the labor efficiency of the construction personnel, the construction personnel are dispatched according to the unfinished workload, including: Confirm the construction progress of the project tasks that have not reached the expected construction progress in the current project module, store the unfinished workload, and confirm the basic information of the construction personnel corresponding to the project tasks and the work status of each construction personnel on the day and in the previous period. The basic information includes the following factors: the name, years of service, grade, type of work and basic salary of the construction personnel. If it is caused by the irregular behavior of the construction personnel on the day, remind them; otherwise, if it is caused by the operation actions of the construction personnel on the day and in the previous period, confirm whether to dispatch the construction personnel or just remind them according to the unfinished workload. The irregular behavior is the behavior that does not comply with the safety production specifications, which is obtained by the analysis of the smart safety helmet; The confirmation is whether to dispatch construction personnel or just to remind them, specifically including: If the unfinished workload in the current project task is significantly less than the total amount of over-fulfilled workload in this project module and other project modules, the relevant construction personnel will be reminded. The term "significantly less" means that the unfinished workload accounts for less than 20% of the total amount of over-fulfilled workload in this project module and other project modules. Otherwise, If the unfinished workload in the current project task is less than the sum of the over-completed workload in this project module and other project modules, the basic information of the corresponding construction personnel is read, and the other project tasks in this project module and the basic information of the construction personnel in other project modules are traversed. The type of work is used as the main matching factor, and the corresponding thresholds of other factors are set. The calculated value is compared with the set result threshold, and the construction personnel whose value is greater than or equal to the set result threshold are selected as the scheduling objects, where the less than is: the proportion of the unfinished workload to the sum of the over-completed workload in this project module and other project modules is 20% to 50%; Otherwise, if the unfinished workload in the current project task accounts for more than 50% of the total over-completed workload in this project module and other project modules, construction personnel in other power grid projects need to be dispatched.

7. A power grid engineering human ergonomics analysis system for intelligent helmet data collection as claimed in claim 6, characterized in that: The operations of the construction personnel on the day and in the previous period include: Abnormal attendance time and scope: the construction workers’ clocking in and out times from the first day to the current day and the construction workers’ movement scope; Grade matching: The attendance time and scope of the construction personnel are normal, determine whether the construction personnel's working years and grades match, and confirm whether the type of work corresponds to the type of task of the project; Workload confirmation: Determine whether the construction progress of the day reaches the specified construction progress based on the daily construction plan. If it does, record the excess construction workload; otherwise, record the unfinished construction workload of the day; determine the construction progress of the project task based on the previous accumulated excess construction workload or unfinished construction workload.

8. A power grid engineering human ergonomics analysis system for intelligent helmet data collection as claimed in claim 7, characterized in that: In the workload confirmation, the construction progress of the project task is determined including: If the accumulated excess construction workload in the previous period is offset by the unfinished construction workload on the current day, and still exceeds the prescribed construction progress, it will be recorded as the project task exceeding the expected construction progress, and the excess construction workload will be recorded; Otherwise, if the cumulative excess construction workload in the previous period is offset by the unfinished construction workload on the day, and the construction progress does not exceed the prescribed progress, it will be recorded as the project task not meeting the expected construction progress, and the unfinished construction workload will be recorded; The sum of the previous accumulated unfinished construction workload and the current day’s unfinished construction workload is recorded as the unfinished construction workload of the current project task; otherwise, if the expected construction progress is not achieved after the previous accumulated unfinished construction workload is offset by the current day’s overfulfilled construction workload, it is recorded as the project task not achieving the expected construction progress, and the unfinished construction workload is recorded; Otherwise, if the accumulated unfinished construction workload in the previous period is offset by the excess construction workload on the day and the prescribed construction progress is reached, it will be recorded as the project task exceeding the prescribed construction progress and the excess construction workload will be recorded.

Images