Intelligent construction scheme optimization system based on building decoration

Abstract

The invention discloses an intelligent construction scheme optimization system based on building decoration, and relates to the technical field of building decoration. The system comprises four modules, and the constructor selection module is used for selecting a construction principal according to the performance value of the constructor. The building material monitoring module is used for dividing the storage area into a plurality of monitoring areas and marking the monitoring areas as deviation or overlapping areas according to the area overlap ratio; calculating a zone condition value, and marking the zone condition value as a suitable or non-suitable zone; and calculating a storage score value, and generating a storage early warning signal or a storage qualified signal. The construction safety supervision and analysis module is used for monitoring a construction site in real time and generating a construction early warning signal; calculating an operation monitoring value; and calculating a construction environment coefficient, and generating an environment control abnormal signal or an environment control normal signal. The construction progress risk monitoring module is used for collecting delay data, calculating progress influence values and generating influence signals of different levels; and adjusting the progress plan. According to the system, through intelligent management, the construction efficiency and safety are improved, and the construction cost is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of building decoration, and in particular relates to an intelligent construction scheme optimization system based on building decoration. Background Art

[0002] With the development of the construction industry, the traditional construction management model has been unable to meet the requirements of modern building decoration projects for efficiency, safety and quality. In the process of building decoration, it involves many aspects such as the selection of construction personnel, the management of building materials, the monitoring of construction safety and the control of construction progress. Traditional management methods often rely on manual experience and paper records, and there are many shortcomings, such as irregular management of construction personnel, chaotic management of building materials, weak construction safety management, and difficult control of construction progress. In order to solve the above problems, in recent years, with the development of technologies such as the Internet of Things, big data, and artificial intelligence, more and more intelligent management systems have been introduced into the construction industry. These systems use modern information technology to realize digital management and real-time monitoring of the entire construction process, greatly improving the efficiency and accuracy of construction management. However, the existing intelligent management systems still need to be improved in terms of integration, real-time and intelligence. Summary of the invention

[0003] In order to overcome the shortcomings and deficiencies of the above-mentioned prior art, the present invention adopts the following technical solutions: an intelligent construction plan optimization system based on building decoration, the system includes a construction personnel selection module, a building material monitoring module, a construction safety supervision and analysis module, and a construction progress risk monitoring module; Construction personnel selection module: select the most suitable construction personnel based on their historical performance; collect construction route and construction personnel information, summarize and analyze the historical performance data of construction personnel, calculate the performance value, and select the construction personnel with the highest score as the person in charge; Building material monitoring module: used to monitor the storage of building materials to ensure balanced use of materials; divide the material storage area into multiple monitoring areas, obtain the regional overlap through image comparison analysis, and mark them as deviation or overlap areas; collect environmental parameters, calculate the regional condition value, and mark them as suitable or unsuitable areas; calculate the storage score value and generate storage warning signals or storage qualified signals; Construction safety supervision and analysis module: monitor the safety of the construction site; monitor whether the construction personnel have abnormal construction behavior and generate construction early warning signals; collect key data during the construction process, evaluate the operation safety, and calculate the operation monitoring score; collect the construction site environmental information, calculate the construction environment coefficient, and generate environmental control abnormality signals or environmental control normal signals; Construction progress risk monitoring module: evaluate the risk of construction progress; obtain the construction task schedule and compare it with the current progress; collect delay data, calculate the progress impact value, and generate impact signals of different levels; adjust the schedule according to the generated impact signals.

[0004] Preferably, the workflow of the construction personnel selection module is as follows: S11, collecting information on the construction route and construction personnel; Obtain the route information of this construction task, including the location of the construction site, the type of construction task, and the construction time; number all construction workers to be assigned and mark them as construction workers ,in, ; m represents the number of construction workers to be assigned, and m is a natural number greater than 1, indicating that there are at least 2 construction workers to choose from; S12. Through the summary analysis of the historical performance of construction personnel, the construction personnel The performance values ​​of the workers are sorted from large to small, and the construction worker with the highest score is finally selected as the person in charge of this construction task; S13. Sort the performance values ​​of all construction workers in descending order, and select the construction worker with the highest performance value as the person in charge of this construction task.

[0005] Preferably, the workflow of the building material monitoring module is as follows: S21. Divide the material storage area of ​​the construction site into several independent monitoring areas, and number each area and mark it as monitoring area i, where: , n is the number of monitoring areas; n is a natural number greater than 1; S22, collecting the initial image and real-time image of the monitoring area i, and performing comparative analysis to obtain the monitoring area overlap; wherein the area overlap is the ratio of the same part between the real-time image and the initial image; the difference between the current material storage area and the initial state is quantified by the area overlap, and whether the material is stored as planned is evaluated; If the area overlap is lower than the preset threshold, it is considered that the material stacking situation in the area has changed, and there is too much or too little material, and the area is marked as a deviation area; If the area overlap is higher than the preset threshold, it is considered that the material stacking situation in the area is consistent with the initial state and meets expectations, and the area is marked as an overlap area; S23, subtracting the number of overlapping areas from the number of deviating areas to obtain a biased weight difference, which reflects the uniformity of material stacking in the entire storage area; if the biased weight difference exceeds a preset biased weight difference threshold, it means that the material is stacked unevenly, and a storage warning signal is generated; if it does not exceed the preset biased weight difference threshold, no storage warning signal is generated; S24, calculate the zone value , zone value It reflects the comprehensive situation of environmental parameters in the current monitoring area; If the zone condition value exceeds the preset zone condition threshold, it is considered that the environmental condition of the area is not good and is not suitable for continued construction, and the monitoring area i is marked as an unsuitable area; if the zone condition value does not exceed the preset zone condition threshold, it is considered that the environmental condition of the area is good and suitable for continued construction, and the monitoring area i is marked as a suitable area; S25. Calculate the ratio of the number of unsuitable areas to the number of suitable areas to obtain a storage score value. If the storage score value exceeds the preset storage score threshold, a storage warning signal is generated; otherwise, a storage qualified signal is generated. By calculating the storage score value, the overall environmental conditions of all monitored areas are evaluated, and it is decided whether further actions need to be taken to improve the construction environment.

[0006] Preferably, the workflow of the construction safety supervision and analysis module is as follows: S31. Use video surveillance systems and sensor equipment to monitor the construction site in real time, including the behavior of construction workers. Pre-enter a variety of abnormal construction behavior patterns, including illegal operations and distracted operations. Based on real-time monitoring images, use image recognition technology to determine whether construction workers have abnormal operations, calculate the frequency of abnormal operations, and use the formula , calculate the operation monitoring score ,in, is the abnormal operation value, which is the ratio of the number of abnormal operations to the total number of operations; is the total number of operations; , is a preset weight coefficient corresponding to the different operation value and the total number of operations; and ; If the operation score value If the preset operation monitoring score threshold is exceeded, a construction warning signal is generated; otherwise, a construction qualified signal is generated; S32. Calculate the construction environment coefficient , the construction environment factor Compared with the preset environmental coefficient threshold, if the construction environmental coefficient If the preset threshold is exceeded, an abnormal environmental control signal is generated; otherwise, a normal environmental control signal is generated.

[0007] Preferably, the workflow of the construction progress risk monitoring module is as follows: S41. Obtain the construction task schedule and compare the current schedule with the planned schedule; calculate the schedule impact value ; S42, according to the calculated progress impact value Compare with the preset progress impact range: If the progress impact value If the maximum value of the preset progress impact range is exceeded, a first-level impact signal is generated; if the progress impact value If the progress impact value is within the preset progress impact range, a secondary impact signal is generated; If the minimum value of the preset progress impact range is not exceeded, a level 3 impact signal is generated; If a Level 1 impact signal is generated, emergency measures will be taken to adjust the schedule, including increasing manpower and extending working hours; If a secondary impact signal is generated, the schedule is adjusted appropriately, including optimizing resource allocation and improving construction methods; If a third-level impact signal is generated, the original schedule will remain unchanged.

[0008] Preferably, in S12, the construction personnel are obtained The performance values ​​are as follows: Collect historical performance data of each construction worker, including the number, quality, percentage of on-time completion, and customer satisfaction evaluation data of historically completed tasks; Calculate the performance value of each construction worker through the formula , the calculation formula is as follows: ; in, To complete the number of tasks; The number of outstanding tasks; On-time completion rate; , , The number of completed tasks 、Number of excellent tasks , On-time completion rate The corresponding weight coefficient.

[0009] Preferably, in S24, the zone value is calculated The details are as follows: Real-time collection of temperature data, air quality, noise level, geological conditions and environmental parameters of monitoring area i, through the formula Calculate the zone value ,in , , , They represent temperature data, air quality, noise levels and geological conditions respectively; , , and They are the preset weight coefficients corresponding to temperature data, air quality, noise level and geological conditions, and all are greater than zero.

[0010] Preferably, in S32, the construction environment coefficient is calculated The details are as follows: Collect environmental information of the construction site, including ventilation value, temperature value, humidity value, and calculate the formula through normalization analysis ; Get the construction environment coefficient ,in, is the ventilation value; is the temperature value; is the humidity value; is the oxygen value; is the brightness value; is the dust value; , , , , , The weight coefficients are preset for the corresponding ventilation value, temperature value, humidity value, oxygen value, light value, and dust value, and these coefficients are all greater than zero.

[0011] Preferably, the progress impact value is calculated in S41 The details are as follows: Collect the delays in the current progress, including the average delay time and average delay frequency of each task; the average delay time is the average difference between the actual completion time and the planned completion time, and the average delay frequency is the ratio of the number of delays to the total number of tasks; By formula Calculating progress impact ; Among them, PS represents the average delay time; represents the average delay frequency; Indicates the current number of tasks; Indicates the number of delays; , , and Preset weight coefficients corresponding to the average delay time, average delay frequency, current task quantity, and delay times, all of which are greater than zero; is the error coefficient.

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention uses big data analysis to comprehensively score construction personnel based on their historical performance, and selects the best construction personnel based on the scoring results, thereby improving construction efficiency and reducing the risk of accidents caused by improper construction personnel. The most suitable construction personnel are selected through scientific methods to ensure the smooth completion of construction tasks.

[0013] 2. The present invention divides the material storage area of ​​the construction site into multiple monitoring areas, and ensures balanced use of materials and suitable storage conditions through image comparison analysis and environmental parameter monitoring, thereby reducing the risk of waste caused by improper material storage and improving the safety and reliability of construction material management. Through real-time monitoring, the problem of unreasonable material stacking can be discovered and solved in a timely manner.

[0014] 3. The present invention monitors the behavior of construction personnel in real time, identifies abnormal construction behavior, and evaluates the operational safety of construction personnel through construction behavior analysis, effectively preventing the occurrence of construction accidents and ensuring the safety of the construction site. Through real-time monitoring and early warning mechanisms, unsafe behaviors of construction personnel can be corrected in a timely manner; environmental parameters of the construction site are monitored in real time, and the safety of the construction environment is evaluated through the construction environment coefficient, which improves the working environment of construction personnel and improves construction efficiency and safety. Through continuous monitoring of environmental parameters, it can be ensured that the construction environment meets safety standards.

[0015] 4. The present invention analyzes the deviation between the current progress and the planned progress, dynamically adjusts the construction progress plan, ensures the rationality of the construction progress, avoids the cost increase caused by progress delays, and improves the overall controllability of the construction project. By calculating the progress impact value, resource allocation can be adjusted in time to prevent progress delays. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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 description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A module diagram of an intelligent construction scheme optimization system based on building decoration according to the present invention is shown; Figure 2 The working flow chart of the system of the present invention is shown; Figure 3 The working flow chart of the building material monitoring module of the present invention is shown. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1: See also Figure 1 As shown, an intelligent construction plan optimization system based on building decoration in this embodiment includes a construction personnel selection module, a building material monitoring module, a construction safety supervision and analysis module, and a construction progress risk monitoring module.

[0020] Construction worker selection module: select the most suitable construction workers based on their historical performance; collect construction route and construction worker information, summarize and analyze the historical performance data of construction workers, calculate performance values, and select the construction worker with the highest score as the person in charge.

[0021] Building materials monitoring module: used to monitor the storage situation of building materials to ensure balanced use of materials; divide the material storage area into multiple monitoring areas, obtain the regional overlap through image comparison analysis, and mark them as deviation or overlap areas; collect environmental parameters, calculate the area condition value, and mark them as suitable or unsuitable areas; calculate the storage score value and generate a storage warning signal or a storage qualified signal.

[0022] Construction safety supervision and analysis module: monitors the safety of the construction site; monitors whether the construction personnel have abnormal construction behavior and generates construction early warning signals; collects key data during the construction process, evaluates operational safety, and calculates operational monitoring scores; collects construction site environmental information, calculates construction environmental coefficients, and generates environmental control abnormality signals or environmental control normal signals.

[0023] Construction progress risk monitoring module: evaluate the risk of construction progress; obtain the construction task schedule and compare it with the current progress; collect delay data, calculate the progress impact value, and generate impact signals of different levels; adjust the schedule according to the generated impact signals.

[0024] The beneficial effects of this embodiment include: by integrating the functions of construction personnel selection, building material monitoring, construction safety supervision and construction progress risk assessment, comprehensive optimization management of the entire construction process is achieved, construction efficiency is improved, construction safety is ensured, and the risks of construction progress are controlled.

[0025] Embodiment 2: See also Figure 2 As shown, the intelligent construction scheme optimization system based on building decoration in this embodiment has the following working process: Step 1: Select the most suitable construction personnel based on their historical performance.

[0026] S11. Collect information about the construction route and construction personnel: obtain the route information of the construction task, including but not limited to the location of the construction site, the type of construction task, and the construction time.

[0027] Number all construction workers to be assigned and mark them as construction workers ,in, ; m represents the number of construction workers to be assigned, and m is a natural number greater than 1, indicating that there are at least 2 construction workers to choose from.

[0028] S12. Summary analysis: Through the summary analysis of the historical performance of construction personnel, the construction personnel The performance values ​​of the workers are calculated and sorted from large to small. Finally, the construction worker with the highest score is selected as the person in charge of this construction task.

[0029] Specifically, the historical performance data collected for each construction worker includes but is not limited to the number, quality, proportion of on-time completion, and customer satisfaction evaluation data of historically completed tasks.

[0030] Calculate the performance value of each construction worker through the formula , the calculation formula is as follows: ; in, To complete the number of tasks; The number of outstanding tasks; On-time completion rate; , , The number of completed tasks 、Number of excellent tasks , On-time completion rate The corresponding weight coefficient.

[0031] Sort the performance values ​​of all construction workers from high to low, and select the construction worker with the highest performance value as the person in charge of this construction task.

[0032] Step 2: Monitor the storage of construction materials and assess whether the materials are stored as planned.

[0033] See also Figure 3 As shown, the specific process is as follows: Monitoring area division: The material storage area of ​​the construction site is divided into several independent monitoring areas, and each area is numbered and marked as monitoring area i, where , n is the number of monitoring areas; n is a natural number greater than 1.

[0034] Image comparison and analysis: Collect the initial image and real-time image of the monitoring area i, and perform comparison and analysis to obtain the overlap of the monitoring area. The regional overlap is the ratio of the same part between the real-time image and the initial image. The regional overlap can be used to understand the difference between the current material storage area and the initial state, so as to evaluate whether the materials are stored as planned.

[0035] If the area overlap is lower than the preset threshold, it is considered that the material stacking situation in the area has changed, and there is too much or too little material, and the area is marked as a deviation area; If the area overlap is higher than the preset threshold, it is considered that the material stacking situation in the area is consistent with the initial state and meets expectations, and the area is marked as an overlap area; According to the comparison result of the area overlap degree and the preset threshold, the monitoring area i is marked as a deviation area or an overlap area.

[0036] Calculation of biased weight difference: The biased weight difference reflects the uniformity of material stacking in the entire storage area. The biased weight difference is obtained by subtracting the number of overlapping areas from the number of deviated areas.

[0037] If the bias difference exceeds the preset bias difference threshold, it means that the materials are not evenly stacked, with too much material in some areas and insufficient material in other areas, and a storage warning signal is generated; If the preset bias difference threshold is not exceeded, no storage warning signal is generated.

[0038] Storage warning signals are used to alert users to uneven material stacking so that timely adjustments can be made to prevent material waste or shortage.

[0039] Calculation of regional condition value: Real-time collection of temperature data, air quality, noise level, geological conditions and other environmental parameters of the monitoring area i, through the formula Calculate the zone value ,in , , , They represent temperature data, air quality, noise levels and geological conditions respectively; , , and They are the preset weight coefficients corresponding to temperature data, air quality, noise level and geological conditions, and all are greater than zero. It reflects the comprehensive situation of environmental parameters in the current monitoring area.

[0040] Area marking: If the area condition value exceeds the preset area condition threshold, it is considered that the environmental condition of the area is poor and not suitable for continued construction, and the monitoring area i is marked as an unsuitable area; if the area condition value does not exceed the preset area condition threshold, it is considered that the environmental condition of the area is good and suitable for continued construction, and the monitoring area i is marked as a suitable area.

[0041] Through area marking, it is possible to quickly identify areas where environmental conditions do not meet construction requirements and where measures need to be taken to improve the environment or suspend construction.

[0042] Calculation of storage score: The storage score is calculated by comparing the number of unsuitable areas with the number of suitable areas. If the storage score exceeds the preset storage score threshold, a storage warning signal is generated; otherwise, a storage qualified signal is generated; by calculating the storage score, the overall environmental status of all monitored areas can be understood, and it can be decided whether further actions need to be taken to improve the construction environment.

[0043] Step 3: Monitor the safety of the construction site.

[0044] Abnormal construction behavior monitoring: Monitor whether construction personnel have abnormal construction behaviors, such as illegal operations, distracted work, etc. If so, a construction warning signal will be generated.

[0045] Use video surveillance systems or other sensor equipment to monitor the construction site in real time, including the behavior of construction workers, to ensure that construction workers comply with safety operating procedures and prevent safety accidents caused by illegal operations. Pre-enter a variety of abnormal construction behavior patterns, such as illegal operations, distracted work, etc. Based on real-time monitoring images, through image recognition technology or manual review, determine whether the construction personnel have abnormal behavior. If abnormal construction behavior is detected, a construction warning signal is generated.

[0046] Abnormal marking: If the number of operations is too high or the time interval between operations is too short, it will be marked as abnormal operation. Calculate the frequency of abnormal operations and use the formula , calculate the operation monitoring score ,in, is the abnormal operation value (the ratio of abnormal operation times to total operation times); is the total number of operations; , is a preset weight coefficient corresponding to the different operation value and the total number of operations; and ; If the operation score value If the preset operation monitoring score threshold is exceeded, a construction warning signal is generated; otherwise, a construction qualified signal is generated.

[0047] Environmental information monitoring: Collect environmental information of the construction site, including ventilation value, temperature value, humidity value, etc., and calculate the formula through normalization analysis ; Get the construction environment coefficient ,in, is the ventilation value; is the temperature value; is the humidity value; is the oxygen value; is the brightness value; is the dust value; , , , , , The weight coefficients are preset for the corresponding ventilation value, temperature value, humidity value, oxygen value, light value, and dust value, and these coefficients are all greater than zero.

[0048] Environmental factor assessment: The construction environmental factor Compared with the preset environmental coefficient threshold, if the construction environmental coefficient If the preset threshold is exceeded, an abnormal environmental control signal is generated; otherwise, a normal environmental control signal is generated.

[0049] Step 4: Assess the risk of construction progress.

[0050] Path analysis: Get the schedule of the construction task and compare the current progress with the planned progress.

[0051] Risk assessment: Collect the delays in the current progress, including the average delay time and average delay frequency of each task; the average delay time is the average difference between the actual completion time and the planned completion time, and the average delay frequency is the ratio of the number of delays to the total number of tasks.

[0052] By formula Calculating progress impact ; Among them, PS represents the average delay time; represents the average delay frequency; Indicates the current number of tasks; Indicates the number of delays; , , and Preset weight coefficients corresponding to the average delay time, average delay frequency, current task quantity, and delay times, all of which are greater than zero; is the error coefficient.

[0053] According to the calculated progress impact value Compare with the preset progress impact range: If progress affects value If the maximum value of the preset progress impact range is exceeded, a first-level impact signal is generated; if the progress impact value If the progress impact value is within the preset progress impact range, a secondary impact signal is generated; If the minimum value of the preset progress impact range is not exceeded, a third-level impact signal is generated.

[0054] Schedule adjustment: If a level 1 impact signal is generated, emergency measures will be taken to adjust the schedule, such as adding more staff, extending working hours, etc.; If a secondary impact signal is generated, the schedule is adjusted appropriately, such as optimizing resource allocation, improving construction methods, etc.; If a third-level impact signal is generated, the original schedule will remain unchanged.

[0055] The beneficial effects of this embodiment are: through big data analysis technology, intelligent personnel selection, material monitoring, safety supervision, environmental monitoring and progress risk assessment are realized in the process of building decoration construction, which not only improves the safety and efficiency of construction, but also ensures the reliability and transparency of construction projects through a full-process closed-loop management mechanism.

[0056] The weight coefficients of the present invention are used to measure the degree of influence of different factors or variables on a certain result or decision. The definition of weight coefficient refers to the value assigned to each factor when comparing and evaluating multiple factors to reflect its importance or priority. These weight coefficients can be determined according to specific circumstances and needs, and are usually jointly formulated and confirmed by professionals or relevant stakeholders. By reasonably setting the weight coefficients, it can help the program or system to make decisions or predictions more accurately.

[0057] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0058] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent construction scheme optimization system based on building decoration, characterized in that: The system includes a construction personnel selection module, a building material monitoring module, a construction safety supervision and analysis module, and a construction progress risk monitoring module; Construction personnel selection module: select the most suitable construction personnel based on their historical performance; collect construction route and construction personnel information, summarize and analyze the historical performance data of construction personnel, calculate the performance value, and select the construction personnel with the highest score as the person in charge; Building material monitoring module: used to monitor the storage of building materials to ensure balanced use of materials; divide the material storage area into multiple monitoring areas, obtain the regional overlap through image comparison analysis, and mark them as deviation or overlap areas; collect environmental parameters, calculate the regional condition value, and mark them as suitable or unsuitable areas; calculate the storage score value and generate storage warning signals or storage qualified signals; Construction safety supervision and analysis module: monitor the safety of the construction site; monitor whether the construction personnel have abnormal construction behavior and generate construction early warning signals; collect key data during the construction process, evaluate the operation safety, and calculate the operation monitoring score; collect the construction site environmental information, calculate the construction environment coefficient, and generate environmental control abnormality signals or environmental control normal signals; Construction progress risk monitoring module: evaluate the risk of construction progress; obtain the construction task schedule and compare it with the current progress; collect delay data, calculate the progress impact value, and generate impact signals of different levels; adjust the schedule according to the generated impact signals.

2. According to claim 1, the intelligent construction scheme optimization system based on building decoration is characterized in that: The workflow of the construction personnel selection module is as follows: S11, collecting information on the construction route and construction personnel; Obtain the route information of this construction task, including the location of the construction site, the type of construction task, and the construction time; number all construction workers to be assigned and mark them as construction workers ,in, ; m represents the number of construction workers to be assigned, and m is a natural number greater than 1, indicating that there are at least 2 construction workers to choose from; S12. Through the summary and analysis of the historical performance of construction personnel, the construction personnel The performance values ​​of the workers are sorted from large to small, and the construction worker with the highest score is finally selected as the person in charge of this construction task; S13. Sort the performance values ​​of all construction workers in descending order, and select the construction worker with the highest performance value as the person in charge of this construction task.

3. According to claim 1, the intelligent construction plan optimization system based on building decoration is characterized in that: The working process of the building material monitoring module is as follows: S21. Divide the material storage area of ​​the construction site into several independent monitoring areas, and number each area and mark it as monitoring area i, where: , n is the number of monitoring areas; n is a natural number greater than 1; S22, collecting the initial image and real-time image of the monitoring area i, and performing comparative analysis to obtain the monitoring area overlap; wherein the area overlap is the ratio of the same part between the real-time image and the initial image; the difference between the current material storage area and the initial state is quantified by the area overlap, and whether the material is stored as planned is evaluated; If the area overlap is lower than the preset threshold, it is considered that the material stacking situation in the area has changed, and there is too much or too little material, and the area is marked as a deviation area; If the area overlap is higher than the preset threshold, it is considered that the material stacking situation in the area is consistent with the initial state and meets expectations, and the area is marked as an overlap area; S23, subtracting the number of overlapping areas from the number of deviating areas to obtain a biased weight difference, which reflects the uniformity of material stacking in the entire storage area; if the biased weight difference exceeds a preset biased weight difference threshold, it means that the material is stacked unevenly, and a storage warning signal is generated; if it does not exceed the preset biased weight difference threshold, no storage warning signal is generated; S24, calculate the zone value , zone value It reflects the comprehensive situation of environmental parameters in the current monitoring area; If the zone condition value exceeds the preset zone condition threshold, it is considered that the environmental condition of the area is not good and is not suitable for continued construction, and the monitoring area i is marked as an unsuitable area; if the zone condition value does not exceed the preset zone condition threshold, it is considered that the environmental condition of the area is good and suitable for continued construction, and the monitoring area i is marked as a suitable area; S25. Calculate the ratio of the number of unsuitable areas to the number of suitable areas to obtain a storage score value. If the storage score value exceeds the preset storage score threshold, a storage warning signal is generated; otherwise, a storage qualified signal is generated. By calculating the storage score value, the overall environmental conditions of all monitored areas are evaluated, and it is decided whether further actions need to be taken to improve the construction environment.

4. The intelligent construction scheme optimization system based on building decoration according to claim 1 is characterized in that: The workflow of the construction safety supervision and analysis module is as follows: S31. Use video surveillance systems and sensor equipment to monitor the construction site in real time, including the behavior of construction workers. Pre-enter a variety of abnormal construction behavior patterns, including illegal operations and distracted operations. Based on real-time monitoring images, use image recognition technology to determine whether construction workers have abnormal operations, calculate the frequency of abnormal operations, and use the formula , calculate the operation monitoring score ,in, is the abnormal operation value, which is the ratio of the number of abnormal operations to the total number of operations; is the total number of operations; , is a preset weight coefficient corresponding to the different operation value and the total number of operations; and ; If the operation score value If the preset operation monitoring score threshold is exceeded, a construction warning signal is generated; otherwise, a construction qualified signal is generated; S32. Calculate the construction environment coefficient , the construction environment factor Compared with the preset environmental coefficient threshold, if the construction environmental coefficient If the preset threshold is exceeded, an abnormal environmental control signal is generated; otherwise, a normal environmental control signal is generated.

5. According to claim 1, the intelligent construction plan optimization system based on building decoration is characterized in that: The workflow of the construction progress risk monitoring module is as follows: S41. Obtain the construction task schedule and compare the current schedule with the planned schedule; calculate the schedule impact value ; S42, according to the calculated progress impact value Compare with the preset progress impact range: If the progress impact value If the maximum value of the preset progress impact range is exceeded, a first-level impact signal is generated; if the progress impact value If the progress impact value is within the preset progress impact range, a secondary impact signal is generated; If the minimum value of the preset progress impact range is not exceeded, a level 3 impact signal is generated; If a Level 1 impact signal is generated, emergency measures will be taken to adjust the schedule, including increasing manpower and extending working hours; If a secondary impact signal is generated, the schedule is adjusted appropriately, including optimizing resource allocation and improving construction methods; If a third-level impact signal is generated, the original schedule will remain unchanged.

6. The intelligent construction scheme optimization system based on building decoration according to claim 2 is characterized in that: In S12, the construction personnel are obtained The performance values ​​are as follows: Collect historical performance data of each construction worker, including the number, quality, percentage of on-time completion, and customer satisfaction evaluation data of historically completed tasks; Calculate the performance value of each construction worker through the formula , the calculation formula is as follows: ； in, To complete the number of tasks; The number of outstanding tasks; On-time completion rate; , , The number of completed tasks 、Number of excellent tasks , On-time completion rate The corresponding weight coefficient.

7. The intelligent construction scheme optimization system based on building decoration according to claim 3 is characterized in that: In S24, the zone value is calculated The details are as follows: Real-time collection of temperature data, air quality, noise level, geological conditions and environmental parameters of monitoring area i, through the formula Calculate the zone value ,in , , , They represent temperature data, air quality, noise levels and geological conditions respectively; , , and They are the preset weight coefficients corresponding to temperature data, air quality, noise level and geological conditions, and all are greater than zero.

8. The intelligent construction scheme optimization system based on building decoration according to claim 1 is characterized in that: In S32, the construction environment coefficient is calculated. The details are as follows: Collect environmental information of the construction site, including ventilation value, temperature value, humidity value, and calculate the formula through normalization analysis ; Get the construction environment coefficient ,in, is the ventilation value; is the temperature value; is the humidity value; is the oxygen value; is the brightness value; is the dust value; , , , , , The weight coefficients are preset for the corresponding ventilation value, temperature value, humidity value, oxygen value, light value, and dust value, and these coefficients are all greater than zero.

9. The intelligent construction scheme optimization system based on building decoration according to claim 1 is characterized in that: The progress impact value is calculated in S41 The details are as follows: Collect the delays in the current progress, including the average delay time and average delay frequency of each task; the average delay time is the average difference between the actual completion time and the planned completion time, and the average delay frequency is the ratio of the number of delays to the total number of tasks; By formula Calculating progress impact ; Among them, PS represents the average delay time; represents the average delay frequency; Indicates the current number of tasks; Indicates the number of delays; , , and Preset weight coefficients corresponding to the average delay time, average delay frequency, current task quantity, and delay times, all of which are greater than zero; is the error coefficient.

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