Assembly type prefabricated building installation construction management method and system

Abstract

The invention discloses an assembly type prefabricated building installation construction management method and system, and relates to the technical field of building construction.Intelligent terminal equipment is arranged for personnel and equipment on a construction site, and real-time interaction and cooperative work between the personnel and the equipment are achieved through the indoor positioning technology and the wireless communication technology; according to the intelligent collaborative operation management mode, various state information of construction site personnel and equipment can be accurately mastered in real time, and task allocation and operation sequence optimization are carried out based on the information, so that the construction personnel can be engaged in work which is most matched with the skills of the construction personnel at the most appropriate time, and the working efficiency is improved. Construction equipment can be fully and reasonably utilized, idle and waste of personnel and equipment are avoided, waiting time and resource mismatching phenomena in construction are reduced, and therefore the construction period is greatly shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of building construction, and in particular to an assembly type prefabricated building installation construction management method and system. Background Art

[0002] With the rapid development of the modern construction industry, prefabricated buildings have gradually become an important development direction in the construction field due to their many advantages such as fast construction speed, controllable quality, environmental protection and energy saving. The installation and construction process of prefabricated buildings involves many complex links, including the transportation, lifting and splicing of prefabricated components, the deployment of on-site personnel and the management of equipment. These links are interrelated and influence each other, which puts high demands on the overall efficiency, quality and safety of the construction.

[0003] However, the existing prefabricated building installation construction management technology has significant defects in the collaborative work of personnel and equipment on the construction site. Traditional management methods mostly rely on manual experience for task allocation and scheduling, lack of accurate grasp of the real-time status of personnel and equipment, and cannot obtain real-time key information on the skill level and fatigue level of construction personnel, as well as the performance indicators and potential faults of construction equipment. This leads to unreasonable task allocation, frequent mismatches between personnel skills and task requirements, excessive use or idleness of equipment, etc. Moreover, during the construction process, there is a lack of effective real-time interaction and coordination mechanisms between personnel and equipment, making it difficult to respond to emergencies quickly, which can easily lead to construction delays, waste of resources, and increased safety hazards, which seriously restricts the efficiency improvement and industry development of prefabricated building construction.

[0004] To sum up, the existing prefabricated building installation and construction management technology is difficult to meet the growing demand for efficient construction. There is an urgent need for a building installation and construction management method that can realize the intelligent collaborative operation of personnel and equipment on the construction site, so as to promote the further development of the prefabricated building industry. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and to provide a method and system for the installation and construction management of prefabricated buildings. It can establish a new intelligent collaborative operation management mode for construction site personnel and equipment, and equip construction personnel and equipment with intelligent terminal devices to achieve real-time interaction and collaborative work between personnel and equipment, so that the system can grasp the location, status and task progress of personnel and equipment in real time, automatically allocate tasks and coordinate work sequences according to construction technology and site conditions, and effectively improve the work efficiency and resource utilization of the construction site.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: On the one hand, a method and system for managing the installation and construction of prefabricated buildings, the specific steps of the method are: S100, using intelligent terminal devices equipped for construction personnel and construction equipment, as well as positioning base stations and wireless communication nodes at the construction site, to collect the location, movement, and physical status information of construction personnel and the operating parameters, location, and working status information of construction equipment in real time; S200, pre-processing the collected data, combining the historical data information of the intelligent terminal device, extracting the skill level information L of the personnel, the fatigue level information F and the performance index information N of the device, and storing the information in the database; The historical data information of the intelligent terminal device includes the number of projects P that the construction personnel have participated in, the number of successful tasks S in each project, the duration T of skill training received, and the operation accuracy A in the current construction task; S300, acquiring real-time data from the database for decision analysis; When receiving a new construction task, the decision analysis screens out construction personnel and construction equipment with corresponding skills and experience according to the construction requirements and the real-time status of on-site personnel and equipment, and determines the optimal construction task allocation plan and operation sequence. The specific steps of the decision analysis are as follows: S301, task parameter acquisition and setting: determine the parameter information of construction personnel, construction equipment and construction tasks; S302, personnel and task matching calculation: For each construction personnel p and construction task i, the skill matching degree and location proximity between the construction personnel and the construction task are calculated to determine the comprehensive matching degree between the personnel and the task. ; S303, device and task matching calculation: For each device q and task i, calculate the performance matching degree and location proximity between the device and the task to determine the comprehensive matching degree between the device and the task ; S304, Determine the task allocation plan: Construct a task allocation matrix, comprehensively consider the comprehensive matching degree between personnel and tasks , the comprehensive matching degree between equipment and tasks and the urgency of the task , determine the optimal task allocation plan; S305. Determine the order of operations: construct a directed graph , where the vertex set V represents all construction tasks, and the edge set E represents the sequence relationship between tasks. The directed graph is sorted until the resource allocation of all tasks meets the constraints.

[0007] S400, according to the construction task allocation plan and operation sequence, the specific task is sent to the intelligent terminal devices of the corresponding construction personnel and equipment through the wireless communication network, and the operation process between the personnel and equipment is synchronously coordinated; S500, monitor the overall situation of the construction site, view data reports, and manually adjust task allocation and parameters to respond to emergencies and conduct refined management.

[0008] Furthermore, the skill level extraction process of the S200 personnel is as follows: assign a difficulty coefficient to each item. , , N is the number of projects the construction personnel have participated in, and the project experience score is calculated ,in is the number of successful tasks in the i-th project, converting the training time T into a training score according to the ratio of the training time conversion coefficient k , calculate the skill level score of the personnel ,in are the skill level weight coefficients, which respectively represent the influence of project experience, training and operation accuracy on the skill level. .

[0009] Furthermore, the S200 extracts the fatigue degree F of the personnel through the personnel physical status information collected by S100, and the personnel physical status information includes the heart rate data HR, the continuous working time W and the number of exercise steps M acquired by the smart terminal device; Set the normal heart rate range to , the threshold of exercise steps under high-intensity work is , and fatigue coefficients corresponding to different work intensities , where f 1 Mild fatigue, f 2 Moderate fatigue, 3 Severe fatigue; Calculate the abnormal heart rate duration ratio based on the person's physical condition information ,in It is in The heart rate value of each time segment, is the duration of the heart rate value. is the total number of time segments with abnormal heart rate; Calculate the proportion of time the number of exercise steps exceeds the limit ,in is the number of movement steps in the kth time segment, is the duration of the movement step, and m is the total number of time segments of the movement steps; Then the fatigue degree F is: and ,but , that is, no fatigue; when and ,but , i.e. mild fatigue; when and ,but , that is, moderate fatigue; when and ,but , that is, severe fatigue.

[0010] Furthermore, the S200 extracts the performance indicators of the equipment by obtaining the engine speed R, oil temperature O, component temperature C, equipment cumulative operating time H and equipment service life from the equipment operating parameters collected in S100. , and set the normal fluctuation range of engine speed to , the normal range of oil temperature is , the normal temperature range of components is ; Calculating the Engine Speed ​​Stability Score ,in is the engine speed at the i-th monitoring time point, is the average engine speed, is the number of monitoring time points; Calculate the normal ratio of oil temperature ,in It is an indicator function, which takes the value of 1 when the oil temperature is within the normal range, otherwise it takes the value of 0. is the number of oil temperature monitoring time points; Calculate the normal ratio of component temperature ,in is an indicator function, which takes the value 1 when the component temperature is within the normal range, otherwise it takes the value 0. is the number of temperature monitoring time points; Equipment performance indicators ,in is the weight coefficient and , which respectively represent the influence of engine speed stability, oil temperature, component temperature and remaining equipment life on performance indicators.

[0011] Furthermore, the specific process of obtaining and setting the task parameters in S301 is as follows: For the personnel construction parameters, the personnel skill level L is extracted from S200, and the skill level of all construction personnel is extracted , , N is the total number of construction workers, fatigue level , the construction worker's current location coordinates , set the staff work efficiency coefficient , indicating the relative work efficiency of personnel at the current fatigue level; For the construction equipment parameters, the equipment performance index P is extracted from S200, and the skill level of all construction personnel is extracted , , M is the total number of construction equipment, and the number of failures is counted , device current location coordinates , set the equipment availability factor , indicating the availability of the device in its current state; For construction task parameters, determine each construction task , , K is the total number of construction tasks, set the requirements for personnel skills , requirements for equipment performance , the urgency coefficient of the task , the value range is 0-1, when When the task is urgent, the estimated time of the task is , the location coordinates of the task .

[0012] Furthermore, the personnel and task matching degree calculation in S302 is performed for each personnel and tasks , calculate the skill match between personnel and tasks , when the personnel skill level fully matches the task requirements, that is ,but , the greater the difference, The closer it is to 0; Proximity of people to tasks ; Calculate the comprehensive matching degree between personnel and tasks .

[0013] Furthermore, the S303 device and task matching calculation, for each device and tasks , the performance match between computing equipment and tasks , when the equipment performance fully meets the task requirements, , the greater the difference, The closer it is to 0; Calculate the location proximity of the device to the task ; Comprehensive matching degree between equipment and tasks .

[0014] Furthermore, the task allocation scheme in S304 is determined by constructing a task allocation matrix A, in which the elements represents the possibility of person p using device q to perform task i. For each task i, update the task allocation matrix to find the comprehensive matching degree between personnel and tasks The largest top r individuals, as well as the comprehensive matching degree between equipment and tasks The largest first s devices, for the combination of the r individuals and the s devices, calculate the task allocation score of each combination , select the task assignment score The largest combination will correspond to Set to 1, indicating that the person and equipment are assigned to perform the task.

[0015] Furthermore, the S305 operation sequence is determined to construct a directed graph , where the vertex set V represents all construction tasks, and the edge set E represents the order relationship between tasks. The direction and weight of the edge are determined according to the construction task, that is, when the task is set Must be on task After completion, you can start from the vertex To the top There is a directed edge, the weight of the edge Set as Task The earliest start time minus the task The earliest completion time; For directed graphs Sort and get a task sequence , this sequence is the preliminary operation order; For each task in the task sequence , determine the resource constraints of the personnel and equipment to be allocated, and when there is a resource conflict, according to the available time window of the resource and the urgency coefficient of the task The task sequence is adjusted locally to ensure the feasibility and optimality of the entire operation sequence under resource constraints, that is, when personnel p is assigned to a task and , and the task and There is a conflict in time, and the task The urgency factor Greater than the task The urgency factor , then the task The execution time is postponed until person p completes the task Afterwards, the order relationship between tasks and the weights of the edges are updated accordingly, and the sorting check is performed again until the resource allocation of all tasks meets the constraints.

[0016] On the other hand, a prefabricated building installation construction management system includes: a data acquisition module, a data processing and analysis module, an intelligent decision-making module, a task allocation and scheduling module, and a monitoring and interaction module: The data acquisition module collects the location, movement, and physical status information of the construction personnel and the operating parameters, location, and working status information of the construction equipment in real time, and transmits the collected data to the data processing and analysis module via the wireless communication network; The data processing and analysis module pre-processes the received data, extracts information about the skill level and fatigue level of the personnel and the performance indicators of the equipment, and stores the information in a database; The intelligent decision-making module obtains real-time data from the database for decision analysis. When a new construction task is received, it selects construction personnel and construction equipment with corresponding skills and experience according to the construction process requirements and the real-time status of on-site personnel and equipment, and determines the optimal construction task allocation plan and operation sequence; The task allocation and scheduling module sends specific tasks to the intelligent terminal devices of corresponding construction personnel and equipment through the wireless communication network according to the output results of the intelligent decision-making module, and coordinates the operation process between various personnel and equipment; The monitoring and interaction module is used to monitor the overall situation of the construction site, view various data reports, and manually adjust task allocation and system parameters in order to respond to emergencies in a timely manner and perform refined management.

[0017] Compared with the prior art, the method and system for managing the installation and construction of prefabricated buildings have the following beneficial effects: 1. The present invention equips personnel and equipment at the construction site with intelligent terminal devices, and uses indoor positioning technology and wireless communication technology to achieve real-time interaction and collaborative work between personnel and equipment. This intelligent collaborative work management mode can accurately grasp the various status information of personnel and equipment at the construction site in real time, and perform task allocation and work sequence optimization based on this information. This enables construction personnel to engage in work that best matches their skills at the most appropriate time, and construction equipment can be fully and reasonably used, avoiding idleness and waste of personnel and equipment, reducing waiting time and resource mismatch during construction, and thus significantly shortening the construction period.

[0018] 2. The present invention can timely discover and warn of potential safety hazards by grasping the location, status and task progress information of personnel and equipment in real time. When the system detects that the population density in the area is too high and the equipment operation status is abnormal, it can immediately issue a warning signal to remind relevant personnel to take measures to avoid accidents. In addition, the system can also send operation guidance information to the personnel's smart terminal to ensure that construction personnel can complete their work tasks accurately and efficiently, thereby improving construction quality and project safety. This intelligent management method not only reduces construction risks, but also improves the scientificity and accuracy of construction management.

[0019] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 It is a process operation diagram of a method for managing the installation and construction of prefabricated buildings; Figure 2 A flowchart of the steps of S300 decision analysis; Figure 3 A block diagram of a construction management system for installing a prefabricated building. DETAILED DESCRIPTION

[0022] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.

[0023] like Figure 1 As shown, this embodiment describes in detail the application process of a method for construction management of prefabricated building installation in actual projects. By equipping construction personnel and equipment with intelligent terminal devices, combined with positioning base stations and wireless communication technologies, real-time data collection, processing and analysis are realized, and information on personnel skill levels, fatigue levels, and equipment performance indicators is determined, which then plays a role in task allocation and job sequence determination, and ultimately achieves intelligent collaborative management of the construction process, effectively improving construction efficiency, quality, and safety.

[0024] First, the data collection stage (S100) is entered. After the construction workers enter the construction site, the intelligent terminal device automatically starts the data collection function. The built-in high-precision positioning system continuously records the location information of the construction workers to ensure that the coordinates of the workers at the construction site can be accurately obtained. The physical condition of the construction workers is also monitored in real time. When the construction workers move between different construction areas, the positioning module can record their movement trajectory in detail. In the process of transporting prefabricated components, the motion sensor records the strength, frequency and direction of the movement, and the heart rate data provides a key basis for the subsequent assessment of the fatigue level of the workers. The intelligent terminal device installed on the construction equipment obtains the core operating parameters of the engine speed (R), oil temperature (O), key component temperature (C) and the accumulated operating time (H) of the equipment in real time. Through interaction with the positioning base station, the location information of the equipment is accurately obtained, and the working status of the equipment is accurately judged.

[0025] Then, the data preprocessing and information extraction stage (S200) is entered, the collected data is preprocessed, and the skill level information L, fatigue level information F and equipment performance index information N of the personnel are extracted in combination with the historical data information of the smart terminal device, and the information is stored in the database. The skill level information is obtained from the historical data storage of the smart bracelet, including the number of projects participated in (P), the number of successful tasks undertaken in each project (S), the length of time received for skill training (T) and the operation accuracy rate (A) in the current construction task. For each project, a corresponding difficulty coefficient is assigned to it according to multiple factors such as its complexity and technical difficulty. , , N is the number of projects the construction personnel have participated in, and the project experience score is calculated ( in is the number of successful tasks in the i-th project. This score can comprehensively reflect the actual experience accumulation of construction personnel in projects of different difficulty levels. The training time (T) is converted into a training score according to a training time conversion coefficient (k) determined by the quality of the training course, the correlation between the training content and the actual construction skills. , based on the personnel skill level scoring formula Calculate the skill level score (L), where α, β, is the skill level weight coefficient, which represents the importance of project experience, training and operation accuracy to the skill level and meets To ensure that the skill level assessment results can truly reflect the actual ability level of the construction workers; for the personnel fatigue level, the heart rate data (HR), continuous working time (W) and exercise steps (M) collected by the smart terminal device are used to comprehensively assess the personnel fatigue level, and the normal heart rate range is set to At the same time, the threshold of the number of steps under high-intensity work is set to In addition, the fatigue coefficient f corresponding to different working intensities is defined 1 (mild fatigue), f 2 (moderate fatigue), f 3 (Severe fatigue), calculate the proportion of abnormal heart rhythm duration ,in It is in The heart rate value of each time segment, is the duration of the heart rate value. It is the total number of time segments with abnormal heart rate. Through detailed analysis of heart rate data, it can accurately determine the situation in which the heart rate of construction workers exceeds the normal range during work and its duration, so as to effectively evaluate their physical load status and calculate the proportion of exercise steps exceeding the standard ,in is the number of movement steps in the kth time segment, is the duration of the exercise steps, m is the total number of time segments of the exercise steps. By analyzing the exercise step data, we can understand the physical exertion of the construction workers during the work process, and combine the abnormal heart rhythm duration ratio to comprehensively judge the fatigue degree of the workers. According to the fatigue degree judgment rule: and ,but (no fatigue); when and ,but (mild fatigue); and ,but (moderate fatigue); when and ,but (severe fatigue), through this comprehensive judgment method, the fatigue degree of construction workers at different working stages can be accurately assessed, providing an important basis for the reasonable arrangement of work tasks and construction safety; for the extraction of equipment performance indicators, the system collects equipment operating parameters to obtain engine speed (R), oil temperature (O), component temperature (C), equipment cumulative operating time (H) and equipment service life ( ), for the engine speed, set its normal fluctuation range to , also set the normal range of oil temperature to , the normal temperature range of components is , calculate the engine speed stability score ,in is the engine speed at the i-th monitoring time point, is the average engine speed, It is the number of monitoring time points. By evaluating the stability of the engine speed, it can timely detect abnormal fluctuations in the engine operation process, thereby early warning of possible equipment failures and calculating the normal oil temperature ratio. ,in is an indicator function. When the oil temperature is within the normal range, the value is 1, otherwise it is 0. m is the number of oil temperature monitoring time points. By calculating the normal oil temperature ratio, we can intuitively understand the proportion of time when the oil temperature is within the normal range during the operation of the equipment and evaluate the working status of the equipment lubrication system. Calculate the normal proportion of component temperature ,in is an indicator function, which takes the value 1 when the component temperature is within the normal range, otherwise it takes the value 0. It is the number of temperature monitoring time points. By analyzing the normal temperature ratio of components, it is determined whether the operating temperature of key components of the equipment is normal to ensure the normal operation of the equipment. Based on the skill level information, fatigue level information and equipment performance index information, the equipment performance index scoring formula is used to calculate the equipment performance index score. Calculate the equipment performance index P, where is the weight coefficient and , which respectively represent the influence of engine speed stability, oil temperature, component temperature and remaining life of equipment on performance indicators, so as to accurately evaluate the performance status of equipment and provide a basis for the reasonable scheduling and maintenance of equipment.

[0026] Then, the decision analysis phase (S300) is entered, such as Figure 2 As shown, S301, task parameter acquisition and setting: extract the skill level of all construction workers from the database ( , N is the total number of construction workers), fatigue level 、Construction personnel's current location coordinates , and calculate the personnel work efficiency coefficient according to the fatigue level , which is used to measure the relative work efficiency of construction workers in the current fatigue state. At the same time, the performance indicators of all construction equipment are extracted ( , M is the total number of construction equipment), fault quantity index 、Device current location coordinates , calculate the equipment availability factor , to evaluate the availability of the equipment in its current state; for each construction task ( , K is the total number of construction tasks), clarify the requirements for personnel skills ( ) Requirements for equipment performance , the urgency coefficient of the task The value range is 0-1. When it is close to 1, it indicates that the task is more urgent), and the estimated time required for the task is determined. , the location coordinates of the task , so as to reasonably deploy personnel and equipment in the future. S302, personnel and task matching calculation: For each construction personnel (p) and construction task (i), calculate the skill matching degree between the personnel and the task , when the personnel skill level fully matches the task requirements, that is ,but The greater the difference between the two, The closer it is to 0, the more accurately the degree of fit between personnel skills and task requirements can be reflected through this exponential function calculation; the proximity between the position of personnel and tasks is calculated. ), which is a variation of the distance formula between two points. It evaluates the convenience of personnel reaching the task location by calculating the relative distance between the personnel's current location and the task location. The closer the distance, the higher the location proximity. It also calculates the comprehensive matching degree between personnel and tasks. , comprehensively considering the work efficiency of personnel, the matching degree between skills and tasks, and the proximity of positions, so as to comprehensively evaluate the compatibility between construction personnel and construction tasks; S303, equipment and task matching calculation: For each equipment (q) and task (i), calculate the performance matching degree between equipment and task , similar to the matching degree of personnel skills, when the equipment performance fully meets the task requirements, The greater the difference between the two, The closer it is to 0, the closer the location of the computing device is to the task. The principle is the same as the location proximity calculation between personnel and tasks, which aims to evaluate the convenience of equipment to reach the task location; calculate the comprehensive matching degree between equipment and tasks , comprehensively consider the availability of equipment, the degree of matching between performance and tasks, and the proximity of locations, and comprehensively measure the adaptability between equipment and construction tasks; S304, task allocation plan determination: construct a task allocation matrix (A), in which the elements It represents the possibility that a person (p) uses a device (q) to perform a task (i). For each task (i), the system finds the comprehensive matching degree between the person and the task Higher front (r) individual, and comprehensive matching between equipment and task The top(s) equipment with the highest score. For the selected personnel and equipment combinations, calculate the task allocation score for each combination. The score takes into account the matching degree between personnel and tasks, equipment and tasks, and the urgency of tasks. The combination with the highest task allocation score is selected and the corresponding Set to 1, indicating that the personnel and equipment are assigned to perform the task. In this way, it can ensure that each task is assigned to the most suitable combination of personnel and equipment, and achieve optimal allocation of resources; S305, job sequence determination: Construct a directed graph , where the vertex set (V) represents all construction tasks, and the edge set (E) represents the order relationship between tasks. The direction and weight of the edge are determined according to the requirements of the construction process and the logical dependency relationship between tasks. For example, if task B can only start after task A is completed, there is a directed edge from vertex A to vertex B, and the weight of the edge is Set it as the earliest start time of task B minus the earliest finish time of task A, sort the directed graph (G) and get a task sequence , this sequence is the preliminary job order. For each task in the task sequence , check whether the assigned personnel and equipment meet the resource constraints, such as personnel working time restrictions, equipment usage conflicts, and when there are resource conflicts, according to the available time window of the resources and the urgency coefficient of the task Make local adjustments to the task sequence, for example, if person p is assigned to task ( )and , and these two tasks conflict in time, and task The urgency factor Greater than the task The urgency factor , then the task The execution time is postponed until person p completes the task Afterwards, the order relationship between tasks and the weights of the edges are updated accordingly, and the sorting check is performed again until the resource allocation of all tasks meets the constraints. Through this dynamic adjustment method, it is ensured that the work sequence can fully utilize resources and improve construction efficiency while meeting the construction process requirements.

[0027] Next, enter the task allocation and operation coordination stage (S400). According to the task allocation plan and operation sequence determined in the decision analysis stage (S300), with the help of a stable wireless communication network, the detailed task instructions are accurately pushed to the intelligent terminal devices of the corresponding construction personnel and construction equipment. The construction personnel and construction equipment receive the task information and go to the task location in an orderly manner to carry out work based on this information. During the entire operation process, it continues to play a role and synchronously coordinates the operation process between various personnel and equipment. When a construction worker completes the current task link, according to the process logic, it automatically notifies the construction personnel and related equipment of the next link to be ready, realizing seamless connection between personnel and equipment, and ensuring the continuity and efficiency of the construction process.

[0028] Finally, the construction monitoring and management optimization stage (S500) is entered to monitor the construction site in real time, including the personnel distribution, equipment operation status, and material stacking in each construction area. At the same time, the collected data is analyzed in real time. For example, by identifying the areas where people gather, it is determined whether there are potential safety hazards caused by too dense personnel; by continuously monitoring the equipment operation parameters, it is timely discovered whether the equipment has abnormal vibration, high temperature and other potential fault signs. Managers can view data reports at any time and deeply analyze various data in the construction process. By analyzing the personnel work efficiency report, they can understand the work performance of different construction personnel in different tasks, find out the personnel with higher or lower work efficiency, analyze the reasons and take corresponding measures, compare the planned progress, find deviations and adjust the construction plan in time to ensure that the project is completed on time. During the construction process, when encountering urgent tasks that need to be handled first, managers can manually assign tasks to the most suitable personnel and equipment according to the actual situation of on-site personnel and equipment, and adjust the priority and expected completion time of the tasks. At the same time, based on actual experience and feedback during the construction process, managers can also optimize and adjust parameters, such as the weight coefficient in the assessment of personnel skill levels and the threshold in the calculation of equipment performance indicators, so that the system is more in line with the actual situation of the construction site and improves the accuracy and effectiveness of management.

[0029] In summary, this embodiment describes in detail the entire process of applying a method for the installation and construction management of prefabricated buildings in actual projects. By equipping construction personnel and equipment with intelligent terminal devices, combined with positioning technology and a complete wireless communication network, real-time data collection, efficient transmission and accurate processing are achieved, and the working conditions of personnel and equipment are monitored in real time, and abnormal situations are discovered and handled in a timely manner, providing a strong guarantee for construction safety. At the same time, by providing construction personnel with detailed operation guidance information, it helps to improve construction quality and reduce quality problems caused by improper operation.

[0030] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A method for managing the installation and construction of prefabricated buildings, characterized in that: The specific steps of this method are: S100, using intelligent terminal devices equipped for construction personnel and construction equipment, as well as positioning base stations and wireless communication nodes at the construction site, to collect the location, movement, and physical status information of construction personnel and the operating parameters, location, and working status information of construction equipment in real time; S200, pre-processing the collected data, combining the historical data information of the intelligent terminal device, extracting the skill level information L of the personnel, the fatigue level information F and the performance index information N of the device, and storing the information in the database; The historical data information of the intelligent terminal device includes the number of projects P that the construction personnel have participated in, the number of successful tasks S in each project, the duration T of skill training received, and the operation accuracy A in the current construction task; S300, acquiring real-time data from the database for decision analysis; When receiving a new construction task, the decision analysis screens out construction personnel and construction equipment with corresponding skills and experience according to the construction requirements and the real-time status of on-site personnel and equipment, and determines the optimal construction task allocation plan and operation sequence. The specific steps of the decision analysis are as follows: S301, task parameter acquisition and setting: determine the parameter information of construction personnel, construction equipment and construction tasks; S302, personnel and task matching calculation: For each construction personnel p and construction task i, the skill matching degree and location proximity between the construction personnel and the construction task are calculated to determine the comprehensive matching degree between the personnel and the task. ; S303, device and task matching calculation: For each device q and task i, calculate the performance matching degree and location proximity between the device and the task to determine the comprehensive matching degree between the device and the task ; S304, Determine the task allocation plan: Construct a task allocation matrix, comprehensively consider the comprehensive matching degree between personnel and tasks , the comprehensive matching degree between equipment and tasks and the urgency of the task , determine the optimal task allocation plan; S305. Determine the order of operations: construct a directed graph , where the vertex set V represents all construction tasks, and the edge set E represents the order relationship between tasks. The directed graph is sorted until the resource allocation of all tasks meets the constraints; S400, according to the construction task allocation plan and operation sequence, the specific task is sent to the intelligent terminal devices of the corresponding construction personnel and equipment through the wireless communication network, and the operation process between the personnel and equipment is synchronously coordinated; S500, monitor the overall situation of the construction site, view data reports, and manually adjust task allocation and parameters to respond to emergencies and conduct refined management.

2. A method for managing the installation and construction of prefabricated buildings according to claim 1, characterized in that: The skill level extraction process of the S200 personnel is as follows: assign a difficulty coefficient to each item , , N is the number of projects the construction personnel have participated in, and the project experience score is calculated ,in is the number of successful tasks in the i-th project, converting the training time T into a training score according to the ratio of the training time conversion coefficient k , calculate the skill level score of the personnel ,in are the skill level weight coefficients, which respectively represent the influence of project experience, training and operation accuracy on the skill level. .

3. The method for managing the installation and construction of prefabricated buildings according to claim 1, characterized in that: The step S200 extracts the fatigue degree F of the personnel through the personnel physical status information collected by the step S100, wherein the personnel physical status information includes the heart rate data HR, the continuous working time W and the number of exercise steps M acquired by the smart terminal device; Set the normal heart rate range to , the threshold of exercise steps under high-intensity work is , and fatigue coefficients corresponding to different work intensities , where f1 is mild fatigue, f2 is moderate fatigue, and f3 is severe fatigue; Calculate the abnormal heart rate duration ratio based on the person's physical condition information ,in It is in The heart rate value of each time segment, is the duration of the heart rate value. is the total number of time segments with abnormal heart rate; Calculate the proportion of time the number of exercise steps exceeds the limit ,in is the number of movement steps in the kth time segment, is the duration of the movement step, and m is the total number of time segments of the movement steps; Then the fatigue degree F is: and ,but , that is, no fatigue; when and ,but , i.e. mild fatigue; when and ,but , that is, moderate fatigue; when and ,but , that is, severe fatigue.

4. The method for managing the installation and construction of prefabricated buildings according to claim 1, characterized in that: The S200 extracts the performance indicators of the equipment by obtaining the engine speed R, oil temperature O, component temperature C, equipment cumulative operating time H and equipment service life from the equipment operating parameters collected in S100. , and set the normal fluctuation range of engine speed to , the normal range of oil temperature is , the normal temperature range of components is ; Calculating the Engine Speed ​​Stability Score ,in is the engine speed at the i-th monitoring time point, is the average engine speed, is the number of monitoring time points; Calculate the normal ratio of oil temperature ,in It is an indicator function, which takes the value of 1 when the oil temperature is within the normal range, otherwise it takes the value of 0. is the number of oil temperature monitoring time points; Calculate the normal ratio of component temperature ,in is an indicator function, which takes the value 1 when the component temperature is within the normal range, otherwise it takes the value 0. is the number of temperature monitoring time points; Equipment performance indicators ,in is the weight coefficient and , which respectively represent the influence of engine speed stability, oil temperature, component temperature and remaining equipment life on performance indicators.

5. The method for managing the installation and construction of prefabricated buildings according to claim 1, characterized in that: The specific process of obtaining and setting the task parameters in S301 is as follows: For the personnel construction parameters, the personnel skill level L is extracted from S200, and the skill level of all construction personnel is extracted , , N is the total number of construction workers, fatigue level , the construction worker's current location coordinates , set the staff work efficiency coefficient , indicating the relative work efficiency of personnel at the current fatigue level; For the construction equipment parameters, the equipment performance index P is extracted from S200, and the skill level of all construction personnel is extracted , , M is the total number of construction equipment, and the number of failures is counted , device current location coordinates , set the equipment availability factor , indicating the availability of the device in its current state; For construction task parameters, determine each construction task , , K is the total number of construction tasks, set the requirements for personnel skills , requirements for equipment performance , the urgency coefficient of the task , the value range is 0-1, when When the task is urgent, the estimated time of the task is , the location coordinates of the task .

6. A method for managing the installation and construction of prefabricated buildings according to claim 5, characterized in that: The S302 personnel and task matching calculation, for each personnel and tasks , calculate the skill match between personnel and tasks , when the personnel skill level fully matches the task requirements, that is ,but , the greater the difference, The closer it is to 0; Proximity of people to tasks ; Calculate the comprehensive matching degree between personnel and tasks .

7. The method for managing the installation and construction of prefabricated buildings according to claim 5, characterized in that: The S303 device and task matching degree calculation, for each device and tasks , the performance match between computing equipment and tasks , when the equipment performance fully meets the task requirements, , the greater the difference, The closer it is to 0; Calculate the location proximity of the device to the task ; Comprehensive matching degree between equipment and tasks .

8. The method for managing the installation and construction of prefabricated buildings according to claim 1, characterized in that: The task allocation scheme is determined in step S304, and a task allocation matrix A is constructed, in which the elements represents the possibility of person p using device q to perform task i. For each task i, update the task allocation matrix to find the comprehensive matching degree between personnel and tasks The largest top r individuals, as well as the comprehensive matching degree between equipment and tasks The largest first s devices, for the combination of the r individuals and the s devices, calculate the task allocation score of each combination , select the task assignment score The largest combination will correspond to Set to 1, indicating that the person and equipment are assigned to perform the task.

9. The method for managing the installation and construction of prefabricated buildings according to claim 1, characterized in that: The S305 operation sequence is determined to construct a directed graph , where the vertex set V represents all construction tasks, and the edge set E represents the order relationship between tasks. The direction and weight of the edge are determined according to the construction task, that is, when the task is set Must be on task After completion, you can start from the vertex To the top There is a directed edge, the weight of the edge Set as Task The earliest start time minus the task The earliest completion time; For directed graphs Sort and get a task sequence , this sequence is the preliminary operation order; For each task in the task sequence , determine the resource constraints of the personnel and equipment to be allocated, and when there is a resource conflict, according to the available time window of the resource and the urgency coefficient of the task The task sequence is adjusted locally to ensure the feasibility and optimality of the entire operation sequence under resource constraints, that is, when personnel p is assigned to a task and , and the task and There is a conflict in time, and the task The urgency factor Greater than the task The urgency factor , then the task The execution time is postponed until person p completes the task Afterwards, the order relationship between tasks and the weights of the edges are updated accordingly, and the sorting check is performed again until the resource allocation of all tasks meets the constraints.

10. An assembly type prefabricated building installation construction management system, applicable to an assembly type prefabricated building installation construction management method according to claims 1-9, characterized in that: The components of the system include: data acquisition module, data processing and analysis module, intelligent decision-making module, task allocation and scheduling module, and monitoring and interaction module: The data acquisition module collects the location, movement, and physical status information of the construction personnel and the operating parameters, location, and working status information of the construction equipment in real time, and transmits the collected data to the data processing and analysis module via the wireless communication network; The data processing and analysis module pre-processes the received data, extracts information about the skill level and fatigue level of the personnel and the performance indicators of the equipment, and stores the information in a database; The intelligent decision-making module obtains real-time data from the database for decision analysis. When a new construction task is received, it selects construction personnel and construction equipment with corresponding skills and experience according to the construction process requirements and the real-time status of on-site personnel and equipment, and determines the optimal construction task allocation plan and operation sequence; The task allocation and scheduling module sends specific tasks to the intelligent terminal devices of corresponding construction personnel and equipment through the wireless communication network according to the output results of the intelligent decision-making module, and coordinates the operation process between various personnel and equipment; The monitoring and interaction module is used to monitor the overall situation of the construction site, view various data reports, and manually adjust task allocation and system parameters in order to respond to emergencies in a timely manner and perform refined management.

Images