A construction progress monitoring and management system based on a smart construction site

Abstract

The application belongs to the technical field of construction supervision, and specifically relates to a construction progress monitoring and management system based on a smart construction site, which comprises a server, a project progress detection and analysis module, a project construction preliminary diagnosis module, a construction diagnosis and evaluation module, and a project supervision diagnosis module; the application accurately analyzes and feeds back the construction progress of all construction projects on the construction site, and step-by-step reason judgment is performed when the corresponding construction project corresponding to the construction date has unqualified construction progress, so that the management personnel can accurately and timely master the abnormal progress reason and make targeted follow-up management measure adjustment, the construction project corresponding to the unqualified construction progress signal is analyzed to determine the difficult-to-complete project, the construction project corresponding to the qualified construction progress signal is analyzed to determine the preferred and redeployed project, and distance matching analysis is performed on all the preferred and redeployed projects and the corresponding difficult-to-complete projects, so as to realize reasonable deployment of personnel for each construction project.

Description

Technical Field

[0001] This invention relates to the field of construction supervision technology, specifically a construction progress monitoring and management system based on smart construction sites. Background Technology

[0002] A construction site generally refers to the site where a project is being constructed, or where production or manufacturing is being carried out. In the construction and manufacturing industries, a construction site is a very important concept. It is not only an important place for production and construction, but also a key link in achieving project goals and fulfilling customer needs. Therefore, during the implementation of a project, it is necessary to scientifically manage and effectively monitor the construction site to ensure project quality and safety.

[0003] When carrying out construction work, multiple construction projects often need to be carried out simultaneously on the same site. Currently, it is difficult to accurately analyze and provide feedback on the construction progress of all construction projects on the site. Furthermore, when the construction progress of a corresponding construction project fails to meet the requirements on the corresponding construction date, it is impossible to determine the cause step by step. As a result, managers cannot accurately and promptly grasp the reasons for the abnormal progress and make targeted adjustments to subsequent management measures. In addition, it is impossible to make timely and reasonable allocation of personnel between various construction projects, which is not conducive to construction management.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a construction progress monitoring and management system based on smart construction sites, which solves the problems of existing technologies that make it difficult to accurately analyze and provide feedback on the construction progress of all construction projects on a construction site, and that when the construction progress of a corresponding construction project fails to meet the requirements on the corresponding construction date, it is impossible to determine the cause step by step, and it is impossible to make reasonable allocation of personnel between various construction projects in a timely manner, which is not conducive to construction management.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A construction progress monitoring and management system based on smart construction sites includes a server, a project progress detection and analysis module, a project construction preliminary diagnosis module, a construction environment diagnosis and evaluation module, and a project supervision and diagnosis module. The server obtains all construction projects of the corresponding construction site, marks the corresponding construction project as i, where i is a positive integer greater than 1, and obtains the preset number of construction days for construction project i. Based on the preset number of construction days, it sets the preset daily construction progress value for construction project i and generates a construction progress strategy curve for construction project i accordingly. The construction progress strategy curve is then sent to the server for storage. During the construction of construction project i, the project progress detection and analysis module performs project progress detection and analysis based on the actual construction progress value of construction project i on the current date and the corresponding construction progress strategy curve, thereby generating a progress pass signal or a progress fail signal for construction project i.

[0008] The server sends the construction progress non-compliance signal of construction project i to the project construction preliminary diagnosis module. After receiving the construction progress non-compliance signal, the project construction preliminary diagnosis module performs a preliminary diagnosis of the abnormality of construction project i to determine the correlation between the current construction progress non-compliance and the previous construction delay. If it is determined that the current construction progress non-compliance is caused by the previous construction delay, the preliminary judgment information is sent to the server; otherwise, a construction environment diagnosis signal is generated and sent to the construction environment diagnosis and evaluation module by the server.

[0009] Upon receiving a construction environment diagnostic signal, the construction environment diagnosis and assessment module analyzes the current date's construction environment status for construction project i. Based on this analysis, it determines the correlation between the current date's unsatisfactory construction progress and the construction environment status, generating either a normal or abnormal construction environment signal. The abnormal construction environment signal is sent to the construction supervision and early warning terminal via the server, while the normal construction environment signal is sent to the project supervision and diagnosis module via the server. When the project supervision and diagnosis module receives a normal construction environment signal, it analyzes the current date's construction supervision status for construction project i. Based on this analysis, it determines the correlation between the current date's unsatisfactory construction progress and the construction supervision status, generating either a construction supervision non-compliance signal or a construction training signal, which is then sent to the construction supervision and early warning terminal via the server.

[0010] Furthermore, the specific operation process of the project progress monitoring and analysis module includes:

[0011] The actual construction progress value of construction project i on the current date is collected and placed into the construction progress strategy curve to form a progress measurement point. The coordinate point on the construction progress strategy curve corresponding to the current date is marked as the progress preset point. If the progress measurement point is above or coincides with the progress preset point, a progress qualified signal is generated. If the progress measurement point is below the progress preset point, the progress preset point and the progress measurement point are connected by a line segment and the line segment is marked as the progress deviation line segment. The length of the progress deviation line segment is calculated and marked as the progress deviation value. The progress deviation value is compared with the corresponding preset progress deviation threshold. If the progress deviation value exceeds the preset progress deviation threshold, a progress unqualified signal is generated; otherwise, a progress qualified signal is generated.

[0012] Furthermore, the specific operation process of the preliminary project construction diagnosis module includes:

[0013] The system obtains the construction progress detection information of the previous date adjacent to construction project i. If the progress of the previous date is qualified, a construction environment diagnosis signal is generated and sent to the construction environment diagnosis and evaluation module via the server. If the progress of the previous date is unqualified, the actual construction progress value of the current date is subtracted from the actual construction progress value of the previous construction day to obtain the actual growth value. The system also calculates the preset growth value by vertically distributing the preset progress points of the current date and the previous date on the construction progress strategy curve. If the actual growth value does not exceed the preset growth value, a construction environment diagnosis signal is generated and sent to the construction environment diagnosis and evaluation module via the server. If the actual growth value exceeds the preset growth value, it is determined that the current date's construction progress is unqualified due to previous construction delays, and the preliminary judgment information is sent to the server.

[0014] Furthermore, the specific analysis process of the treatment cycle diagnostic assessment module includes:

[0015] Several monitoring periods are set for the construction period on the current date. The area where the corresponding construction project i is located is marked as the analysis area, and the corresponding monitoring period is marked as u, where u is a natural number greater than 6. Temperature, humidity, ultraviolet, rainfall, and air pollution data of monitoring period u in the analysis area are obtained through analysis. The temperature, humidity, ultraviolet, rainfall, and air pollution data are normalized to calculate the implementation factor coefficient of monitoring period u. The implementation factor coefficient is compared with the pre-implementation factor coefficient threshold. If the implementation factor coefficient exceeds the pre-implementation factor coefficient threshold, the monitoring period u is marked as a period with negative impact on construction; otherwise, the monitoring period u is marked as a period with positive impact on construction.

[0016] The initial environmental assessment coefficient is calculated by comparing the number of negative impact periods to the number of positive impact periods on the current date. This coefficient is then compared to the threshold for the preliminary environmental assessment coefficient. If the initial environmental assessment coefficient exceeds the threshold, the construction progress on the current date is deemed unqualified due to poor construction environment. If the initial environmental assessment coefficient does not exceed the threshold, the threshold is subtracted from the environmental assessment coefficient for the negative impact periods to obtain the environmental difference. All environmental differences are summed and averaged to obtain the environmental performance value. The initial environmental assessment coefficient and the environmental performance value are then compared to obtain the refined environmental assessment coefficient. This refined environmental assessment coefficient is compared to the threshold for the refined environmental assessment coefficient. If the refined environmental assessment coefficient exceeds the threshold, the construction progress on the current date is deemed unqualified due to poor construction environment, and an abnormal construction environment signal is generated. Otherwise, a normal construction environment signal is generated. The normal construction environment signal is then sent to the project monitoring and diagnostic module via the server.

[0017] Furthermore, the methods for obtaining and analyzing temperature data, humidity data, ultraviolet radiation data, rainfall data, and air pollution data are as follows:

[0018] Real-time temperature curves for the detection period u in the analysis area were collected, and a temperature rectangular coordinate system was established with time as the X-axis and temperature as the Y-axis. A temperature upper limit line and a lower limit line parallel to the X-axis were drawn in the temperature rectangular coordinate system. The real-time temperature curve was placed into the temperature rectangular coordinate system, and the duration of the real-time temperature curve lying within the two temperature lines was marked as the suitable temperature duration. The areas enclosed by the real-time temperature curve and the upper temperature limit line, and the areas enclosed by the real-time temperature curve and the lower temperature limit line were marked as temperature deviation regions. The area of ​​the temperature deviation region was obtained and marked as the temperature deviation coefficient. The temperature data was obtained by numerically calculating the temperature deviation coefficient and the suitable temperature duration. Similarly, humidity data was obtained.

[0019] The ultraviolet intensity curve, rainfall curve, and air pollution curve of the detection period u in the analysis area were collected. Several analysis sites were randomly obtained on the ultraviolet intensity curve. The ultraviolet intensity values ​​corresponding to all analysis sites were summed and the average value was taken to obtain the ultraviolet data. Similarly, the rainfall data and air pollution data were obtained.

[0020] Furthermore, the specific operational process of the project monitoring and diagnostic module includes:

[0021] The system obtains the actual decrease in the number of construction workers for project i on the current date and the effective construction time for each worker. Workers whose effective construction time does not exceed the preset threshold are marked as abnormal workers. The number of abnormal workers is calculated as the ratio of the number of actual workers to the current number of workers to obtain the percentage of abnormal workers. The actual decrease in the number of construction workers and the percentage of abnormal workers are compared with the corresponding preset thresholds for the decrease in the number of actual workers and the percentage of abnormal workers. If the actual decrease in the number of construction workers exceeds the preset threshold for the decrease in the number of actual workers or the percentage of abnormal workers exceeds the preset threshold for the percentage of abnormal workers, it is determined that the construction progress on the current date is unqualified due to poor construction supervision, and a construction supervision failure signal is generated.

[0022] If the decrease in the actual number of construction workers does not exceed the preset threshold for the decrease in the actual number of construction workers and the percentage of abnormal construction workers does not exceed the preset threshold for the percentage of abnormal construction workers, then the effective construction time of all construction workers is summed and averaged to obtain the average construction time. The average construction time is then compared with the preset average construction time threshold. If the average construction time does not exceed the preset average construction time threshold, then it is determined that the current date's construction progress is unqualified due to poor construction supervision, and a construction supervision failure signal is generated. If the average construction time exceeds the preset average construction time threshold, then a construction training signal is generated.

[0023] Furthermore, the server communicates with the project completion urgency assessment module. The server sends a construction progress non-compliance signal to the project completion urgency assessment module. When the project completion urgency assessment module receives the construction progress non-compliance signal, it collects the actual start date of construction project i, calculates the time difference between the current date and the actual start date to obtain the actual number of construction days, subtracts the actual number of construction days from the pre-set number of construction days for construction project i to obtain the construction period difference value, and calculates the ratio between the construction period difference value and the pre-set number of construction days to obtain the construction period performance value.

[0024] The system collects the actual construction progress value of construction project i on the current date, and obtains the progress value to be completed for construction project i. The project performance coefficient is obtained by numerically calculating the construction period performance value and the progress value to be completed. The project performance coefficient is compared with the preset project performance coefficient threshold. If the project performance coefficient exceeds the preset project performance coefficient threshold, the corresponding construction project i is marked as a difficult project to complete. The difficult project is sent to the construction supervision and early warning terminal via the server, so that personnel can be added to the corresponding difficult project in a timely manner.

[0025] Furthermore, when it is necessary to supplement personnel for projects that are difficult to complete, the construction projects with qualified construction progress signals are marked as projects to be transferred, and the pending progress value and construction period performance value of the corresponding projects to be transferred are obtained. Projects to be transferred whose pending progress value does not exceed the preset pending progress threshold and whose construction period performance value exceeds the preset construction period performance threshold are marked as preferred transfer projects.

[0026] The system collects the regional locations of the corresponding difficult-to-complete projects and all preferred selection projects. Based on this, it obtains the path distance values ​​between the corresponding difficult-to-complete projects and the corresponding preferred selection projects. The preferred selection project with the smallest path distance value is marked as the preferred selection project for the corresponding difficult-to-complete project. The preferred selection project for the corresponding difficult-to-complete project is then sent to the construction supervision and early warning terminal via the server.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] In this invention, the project progress detection and analysis module performs progress detection and analysis on all construction projects. When a progress non-compliance signal is generated for a corresponding construction project, the preliminary construction diagnosis module performs a preliminary diagnosis of the cause of the anomaly. If it is determined that the current progress non-compliance is not due to previous construction delays, the construction environment diagnosis and evaluation module diagnoses and analyzes the construction environment status to determine the correlation between the current progress non-compliance and the construction environment status. When a normal construction environment signal is generated, the project supervision diagnosis module diagnoses and analyzes the construction supervision status to determine the correlation between the current progress non-compliance and the construction supervision status. This invention not only accurately analyzes and provides feedback on the construction progress of all construction projects on the construction site, but also performs step-by-step cause judgment when a construction project experiences a progress non-compliance on a corresponding construction date. This allows managers to accurately and promptly grasp the causes of progress anomalies and make targeted adjustments to subsequent management measures.

[0029] In this invention, a project completion urgency assessment module analyzes construction projects with non-compliant construction progress signals to determine their difficulty in timely completion. Projects unlikely to be completed on time are marked as "difficult-to-complete" projects, allowing for timely personnel replenishment for these projects. This ensures timely completion of the corresponding construction projects and facilitates targeted personnel adjustments by construction supervisors. Furthermore, the module analyzes construction projects with compliant construction progress signals to determine their suitability for personnel allocation. Distance matching analysis is performed between all preferred allocation projects and their corresponding difficult-to-complete projects to identify the most suitable allocation projects for those projects. This facilitates more rational and rapid personnel allocation by construction supervisors, resulting in a high degree of intelligence. Attached Figure Description

[0030] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0031] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0032] Figure 2 This is a system block diagram of Embodiments 2 and 3 of the present invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] like Figure 1 As shown, the present invention proposes a construction progress monitoring and management system based on smart construction sites, including a server, a project progress detection and analysis module, a project construction preliminary diagnosis module, a construction environment diagnosis and evaluation module, and a project supervision and diagnosis module, and the server is communicatively connected to the project progress detection and analysis module, the project construction preliminary diagnosis module, the construction environment diagnosis and evaluation module, and the project supervision and diagnosis module.

[0035] The server retrieves all construction projects for the corresponding construction site, marks each project as i (a positive integer greater than 1), and obtains the pre-set number of construction days for project i. Based on this number of days, it sets a pre-set daily construction progress value for project i and generates a construction progress strategy curve for project i. This curve is then sent to the server for storage. During the progress of project i, the project progress detection and analysis module performs progress detection and analysis based on the actual construction progress value and the corresponding construction progress strategy curve for the current date, generating a progress pass signal or a progress fail signal for project i. The specific analysis process for progress detection and analysis is as follows:

[0036] The actual construction progress value of construction project i on the current date is collected and placed into the construction progress strategy curve to form a progress measurement point. The coordinate point on the construction progress strategy curve corresponding to the current date is marked as the progress preset point. If the progress measurement point is above or coincides with the progress preset point, a progress qualified signal is generated. If the progress measurement point is below the progress preset point, the progress preset point and the progress measurement point are connected by a line segment and the line segment is marked as the progress deviation line segment. The length of the progress deviation line segment is calculated and marked as the progress deviation value. The progress deviation value is compared with the corresponding preset progress deviation threshold. If the progress deviation value exceeds the preset progress deviation threshold, a progress unqualified signal is generated. If the progress deviation value does not exceed the preset progress deviation threshold, a progress qualified signal is generated.

[0037] The server sends a non-compliance signal for construction project i to the preliminary construction diagnosis module. Upon receiving the non-compliance signal, the preliminary construction diagnosis module performs a preliminary diagnosis of the cause of the anomaly in construction project i to determine the correlation between the current non-compliance and previous construction delays. If it determines that the current non-compliance is caused by previous construction delays, the preliminary judgment information is sent to the server; otherwise, a construction environment diagnosis signal is generated and sent by the server to the construction environment diagnosis and assessment module. This allows construction supervisors to gain a preliminary understanding of the reasons for the current non-compliance of construction project i's progress and facilitates subsequent targeted management measures. The specific operation process of the preliminary construction diagnosis module is as follows:

[0038] The system obtains the construction progress monitoring information of the previous date adjacent to construction project i. If the progress of the previous date is qualified, a construction environment diagnostic signal is generated and sent to the construction environment diagnostic evaluation module via the server. If the progress of the previous date is unqualified, the actual construction progress value of the current date is subtracted from the actual construction progress value of the previous construction day to obtain the actual growth value. The system also calculates the preset growth value by vertically distributing the preset progress points of the current date and the previous date on the construction progress strategy curve. The actual growth value is compared with the preset growth value. If the actual growth value does not exceed the preset growth value, a construction environment diagnostic signal is generated and sent to the construction environment diagnostic evaluation module via the server. If the actual growth value exceeds the preset growth value, it is determined that the current date's construction progress is unqualified due to previous construction delays, and the preliminary judgment information is sent to the server.

[0039] Upon receiving a construction environment diagnostic signal, the construction environment diagnosis and assessment module analyzes the current date's construction environment status for construction project i. Based on this analysis, it determines the correlation between the current date's substandard construction progress and the construction environment status, generating either a normal or abnormal construction environment signal. The abnormal signal is sent to the construction supervision and early warning terminal via the server, while the normal signal is sent to the project supervision and diagnosis module. This allows construction supervisors to thoroughly understand the correlation between the current date's substandard construction progress for project i and the corresponding construction environment, facilitating targeted management measures. The specific analysis process of the construction environment diagnosis and assessment module is as follows:

[0040] Several monitoring periods are set during the construction period of the current date. The area where the corresponding construction project i is located is marked as the analysis area, and the corresponding monitoring period is marked as u, where u is a natural number greater than 6. The ultraviolet intensity curve, rainfall curve, and air pollution curve of the monitoring period u in the analysis area are collected. Several analysis sites are randomly obtained on the ultraviolet intensity curve, rainfall curve, and air pollution curve respectively. The ultraviolet intensity values ​​corresponding to all analysis sites are summed and averaged to obtain ultraviolet data. The rainfall values ​​corresponding to all analysis sites are summed and averaged to obtain rainfall data. The air pollution values ​​(mainly referring to the concentration of harmful substances such as dust in the air) corresponding to all analysis sites are summed and averaged to obtain air pollution data.

[0041] Real-time temperature curves for the detection period u in the analysis area are collected, and a temperature rectangular coordinate system is established with time as the X-axis and temperature as the Y-axis. A temperature upper limit line and a lower limit line parallel to the X-axis are drawn in the temperature rectangular coordinate system. The real-time temperature curve is placed in the temperature rectangular coordinate system, and the duration of the real-time temperature curve within the two temperature lines is marked as the suitable temperature duration. The areas enclosed by the real-time temperature curve and the upper temperature limit line, and the areas enclosed by the real-time temperature curve and the lower temperature limit line are marked as temperature deviation regions. The area of ​​the temperature deviation region is obtained and marked as the temperature deviation coefficient. The temperature data WDiu is obtained by numerically calculating the temperature deviation coefficient PWiu and the suitable temperature duration SWiu using the formula WDiu=fg1*PWiu+fg2 / SWiu. Similarly, humidity data is obtained. Here, fg1 and fg2 are preset proportional coefficients, fg2>fg1>0. Furthermore, the larger the value of the temperature data WDiu, the worse the temperature performance of the construction environment, which is less conducive to the efficient and safe construction of project i.

[0042] Depend on The application coefficient SHuiu for the detection period u is calculated using a normalization formula based on temperature data WDiu, humidity data SDiu, ultraviolet data GQiu, rainfall data YYiu, and air pollution data KWiu. Here, sp1, sp2, sp3, sp4, and sp5 are preset weighting coefficients, all of which are greater than zero. The application coefficient SHuiu is then compared with a pre-set application coefficient threshold. If the application coefficient SHuiu exceeds the pre-set application coefficient threshold, the detection period u is marked as a period with negative construction impact; otherwise, the detection period u is marked as a period with positive construction impact.

[0043] The initial environmental assessment coefficient SCI is calculated by comparing the number of negative impact periods of construction to the number of positive impact periods of construction on the current date. The initial environmental assessment coefficient SCI is then compared with the threshold of the preliminary environmental assessment coefficient. If the initial environmental assessment coefficient exceeds the threshold, it is determined that the construction progress on the current date is unqualified due to poor construction environment. If the initial environmental assessment coefficient SCI does not exceed the threshold, the environmental assessment coefficient of the negative impact period is subtracted from the threshold to obtain the environmental difference. All environmental differences are summed and averaged to obtain the environmental performance value SBi. The initial environmental assessment coefficient SCI and the environmental performance value SBi are then calculated using the formula SJi=by1*SCi+by2*SBi to obtain the environmental precision assessment coefficient SJi.

[0044] Whereby, by1 and by2 are preset proportional coefficients, by1 > by2 > 0; and the value of the environmental assessment coefficient SJi is directly proportional to both the initial environmental assessment coefficient SCi and the environmental performance value SBi. The larger the value of the environmental assessment coefficient SJi, the greater the possibility that the construction progress of the corresponding construction project i on the current date is unqualified due to poor construction environment; the environmental assessment coefficient SJi is compared with the pre-construction environmental assessment coefficient threshold; if the environmental assessment coefficient SJi exceeds the pre-construction environmental assessment coefficient threshold, it is determined that the construction progress of the corresponding construction project i on the current date is unqualified due to poor construction environment and an abnormal construction environment signal is generated; if the environmental assessment coefficient SJi does not exceed the pre-construction environmental assessment coefficient threshold, a normal construction environment signal is generated; the normal construction environment signal is sent to the project supervision and diagnosis module via the server.

[0045] When the project supervision and diagnosis module receives a normal construction environment signal, it performs a diagnostic analysis of the construction supervision status of construction project i on the current date. Based on this analysis, it determines the correlation between the current date's unsatisfactory construction progress and the construction supervision status, generating either a construction supervision failure signal or a construction training signal. This signal is then sent to the construction supervision early warning terminal via the server, allowing construction supervisors to understand the correlation between the current date's unsatisfactory construction progress of construction project i and the corresponding supervision status, facilitating targeted management measures. Specifically, upon receiving a construction supervision failure signal, supervisors promptly strengthen the supervision of the construction process and personnel for the corresponding construction project i, thereby ensuring the construction progress of construction project i. Upon receiving a construction training signal, they promptly conduct overall training for the construction personnel of the corresponding construction project i, thereby improving the construction efficiency and safety of all personnel and ensuring the construction progress of construction project i. The specific operation process of the project supervision and diagnosis module is as follows:

[0046] The system obtains the actual decrease in the number of construction workers for construction project i on the current date, as well as the effective construction time for each worker. The larger the decrease in the actual number of construction workers, the greater the gap between the number of construction workers for construction project i on the current date and the corresponding minimum threshold for the number of construction workers. The system compares the effective construction time of each worker with a preset effective construction time threshold. Workers whose effective construction time does not exceed the preset effective construction time threshold are marked as abnormal workers. The system calculates the ratio of the number of abnormal workers to the current number of actual workers to obtain the percentage of abnormal workers. The system compares the actual decrease in the number of construction workers and the percentage of abnormal workers with the corresponding preset thresholds for the decrease in the actual number of construction workers and the preset threshold for the percentage of abnormal workers. If the decrease in the actual number of construction workers exceeds the preset threshold for the decrease in the actual number of construction workers or the percentage of abnormal workers exceeds the preset threshold for the percentage of abnormal workers, it is determined that the construction progress on the current date is unqualified due to poor construction supervision, and a construction supervision failure signal is generated.

[0047] If the decrease in the actual number of construction workers does not exceed the preset threshold for the decrease in the actual number of construction workers and the percentage of abnormal construction workers does not exceed the preset threshold for the percentage of abnormal construction workers, then the effective construction time of all construction workers is summed and averaged to obtain the average construction time. The average construction time is then compared with the corresponding preset average construction time threshold. If the average construction time does not exceed the preset average construction time threshold, it is determined that the current date's construction progress is unqualified due to poor construction supervision, and a construction supervision failure signal is generated. If the average construction time exceeds the preset average construction time threshold, it is preliminarily determined that the construction workers of the corresponding construction project i are not proficient in construction operations and have low construction efficiency, and a construction training signal is generated.

[0048] Example 2: Figure 2As shown, the difference between this embodiment and Embodiment 1 is that the server communicates with the project completion urgency assessment module. The server sends a construction progress non-compliance signal to the project completion urgency assessment module. When the project completion urgency assessment module receives the construction progress non-compliance signal, it collects the actual start date of construction project i, calculates the time difference between the current date and the actual start date to obtain the actual number of construction days, subtracts the actual number of construction days from the pre-set number of construction days for construction project i to obtain the construction period difference value, and calculates the ratio between the construction period difference value and the pre-set number of construction days to obtain the construction period performance value; and collects the actual construction progress value of construction project i on the current date, thereby obtaining the pending progress value of construction project i.

[0049] It should be noted that the larger the value of the construction period performance value and the smaller the value of the progress to be completed value, the less difficult it is for the corresponding construction project i to be completed on time. The project performance coefficient XBi is obtained by calculating the construction period performance value SQi and the progress to be completed value DWi using the formula XBi=a2*DWi / (a1*SQi+0.637), where a1 and a2 are preset proportional coefficients, and the values ​​of a1 and a2 are both greater than zero. Furthermore, the larger the value of the project performance coefficient XBi, the more difficult it is for construction project i to be completed on time.

[0050] The project performance coefficient XBi is compared with the preset project performance coefficient threshold. If the project performance coefficient XBi exceeds the preset project performance coefficient threshold, it indicates that the corresponding construction project i is difficult to complete on time. The corresponding construction project i is then marked as a difficult-to-complete project. The difficult-to-complete project is sent to the construction supervision and early warning terminal via the server, so that personnel can be added to the corresponding difficult-to-complete project in a timely manner. This ensures the timely completion of the corresponding construction project i, facilitates the construction supervision personnel to make targeted adjustments to the project personnel, and helps to supervise the construction site.

[0051] Example 3: Figure 2 As shown, the difference between this embodiment and Embodiments 1 and 2 is that when it is necessary to supplement personnel for a corresponding difficult-to-complete project, the construction project with the corresponding construction progress qualified signal is marked as a project to be transferred. The pending progress value and construction period performance value of the corresponding project to be transferred are obtained. The pending progress value and construction period performance value are compared with the corresponding preset pending progress threshold and preset construction period performance threshold respectively. If the pending progress value does not exceed the preset pending progress threshold and the construction period performance value exceeds the preset construction period performance threshold, it indicates that the corresponding project to be transferred is highly likely to be completed ahead of schedule. Then, the corresponding project to be transferred is marked as a preferred project to be transferred.

[0052] The system collects the location of the corresponding difficult-to-complete project and the location of all preferred transfer projects. Based on this, the path distance between the corresponding difficult-to-complete project and the corresponding preferred transfer project is obtained. It should be noted that the smaller the path distance value, the easier it is for the construction personnel of the corresponding preferred transfer project to enter the corresponding difficult-to-complete project, and the more suitable it is to transfer construction personnel from the preferred transfer project to the corresponding difficult-to-complete project. The preferred transfer project with the smallest path distance value is marked as the preferred transfer project for the corresponding difficult-to-complete project. The preferred transfer project for the corresponding difficult-to-complete project is sent to the construction supervision and early warning terminal via the server, which facilitates the construction supervision personnel to transfer construction personnel. The personnel transfer and allocation is more reasonable and faster, and the level of intelligence is high.

[0053] The working principle of this invention is as follows: In use, the project progress detection and analysis module performs project progress detection and analysis based on the actual construction progress value of construction project i on the current date and the corresponding construction progress strategy curve, thereby generating a progress pass signal or a progress fail signal for construction project i. When a progress fail signal is generated, the project construction preliminary diagnosis module performs a preliminary diagnosis of the cause of the anomaly in construction project i to determine the correlation between the current date's construction progress failure and previous construction delays. If it is determined that the current date's construction progress failure is due to previous construction delays, the preliminary judgment information is sent to the server; otherwise, the construction environment diagnosis and evaluation module diagnoses and analyzes the construction environment status of construction project i on the current date to determine the correlation between the current date's construction progress failure and the construction environment. The system analyzes the correlation between the construction environment and the current construction status, generating either a normal or abnormal construction environment signal. When a normal construction environment signal is generated, the project supervision and diagnosis module analyzes the current construction supervision status of project i to determine the correlation between the current construction progress non-compliance and the construction supervision status. This generates either a construction supervision non-compliance signal or a construction training signal, which is then sent to the construction supervision early warning terminal via the server. This system not only accurately analyzes and provides feedback on the construction progress of all construction projects on the site, but also performs step-by-step cause judgment when a construction project experiences non-compliance on the corresponding construction date. This allows managers to accurately and promptly grasp the causes of progress anomalies and make targeted adjustments to subsequent management measures.

[0054] The above formulas are all dimensionless numerical calculations. These formulas are derived from software simulations using collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to actual conditions. The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. The preferred embodiments do not describe all details exhaustively, nor do they limit the invention to specific implementations. Obviously, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A construction progress monitoring and management system based on smart construction sites, characterized in that, The system includes a server, a project progress monitoring and analysis module, a project construction preliminary diagnosis module, a construction environment diagnosis and assessment module, and a project supervision and diagnosis module. The server obtains all construction projects at the corresponding construction site, marks each construction project as i (where i is a positive integer greater than 1), and obtains the preset number of construction days for construction project i. Based on the preset number of construction days, the server sets the preset daily construction progress value for construction project i and generates a construction progress strategy curve for construction project i accordingly. The construction progress strategy curve is then sent to the server for storage. During the progress of construction project i, the project progress monitoring and analysis module performs project progress monitoring and analysis based on the actual construction progress value of construction project i on the current date and the corresponding construction progress strategy curve, thereby generating a progress pass signal or a progress fail signal for construction project i. The server sends the construction progress non-compliance signal of construction project i to the project construction preliminary diagnosis module. After receiving the construction progress non-compliance signal, the project construction preliminary diagnosis module performs a preliminary diagnosis of the abnormality of construction project i to determine the correlation between the current construction progress non-compliance and the previous construction delay. If it is determined that the current construction progress non-compliance is caused by the previous construction delay, the preliminary judgment information is sent to the server; otherwise, a construction environment diagnosis signal is generated and sent to the construction environment diagnosis and evaluation module by the server. Upon receiving a construction environment diagnostic signal, the construction environment diagnosis and assessment module analyzes the current date's construction environment status for construction project i. Based on this analysis, it determines the correlation between the current date's unsatisfactory construction progress and the construction environment status, generating either a normal construction environment signal or an abnormal construction environment signal. The abnormal construction environment signal is sent to the construction supervision and early warning terminal via the server, while the normal construction environment signal is sent to the project supervision and diagnosis module via the server. When the project supervision and diagnosis module receives a normal construction environment signal, it analyzes the current date's construction supervision status for construction project i. Based on this analysis, it determines the correlation between the current date's unsatisfactory construction progress and the construction supervision status, generating either a construction supervision failure signal or a construction training signal. This signal is then sent to the construction supervision and early warning terminal via the server. The specific operation process of the preliminary construction diagnosis module includes: The system obtains the construction progress detection information of the previous date adjacent to construction project i. If the progress of the previous date is qualified, a construction environment diagnosis signal is generated and sent to the construction environment diagnosis and evaluation module via the server. If the progress of the previous date is unqualified, the actual construction progress value of the current date is subtracted from the actual construction progress value of the previous construction day to obtain the actual growth value. The system also calculates the preset growth value by vertically distributing the preset progress points of the current date and the previous date on the construction progress strategy curve. If the actual growth value does not exceed the preset growth value, a construction environment diagnosis signal is generated and sent to the construction environment diagnosis and evaluation module via the server. If the actual growth value exceeds the preset growth value, it is determined that the current date's construction progress is unqualified due to previous construction delays, and the preliminary judgment information is sent to the server.

2. The construction progress monitoring and management system based on smart construction sites according to claim 1, characterized in that, The specific operation process of the project progress monitoring and analysis module includes: The actual construction progress value of construction project i on the current date is collected and placed into the construction progress strategy curve to form a progress measurement point. The coordinate point on the construction progress strategy curve corresponding to the current date is marked as the progress preset point. If the progress measurement point is above or coincides with the progress preset point, a progress qualified signal is generated. If the progress measurement point is below the progress preset point, the progress preset point and the progress measurement point are connected by a line segment and the line segment is marked as the progress deviation line segment. The length of the progress deviation line segment is calculated and marked as the progress deviation value. If the progress deviation value exceeds the preset progress deviation threshold, a progress unqualified signal is generated; otherwise, a progress qualified signal is generated.

3. The construction progress monitoring and management system based on smart construction sites according to claim 1, characterized in that, The specific analysis process of the ring diagnosis and assessment module includes: Several monitoring periods are set for the construction period on the current date. The area where the corresponding construction project i is located is marked as the analysis area, and the corresponding monitoring period is marked as u, where u is a natural number greater than 6. Temperature, humidity, ultraviolet, rainfall, and air pollution data of monitoring period u in the analysis area are obtained through analysis. The temperature, humidity, ultraviolet, rainfall, and air pollution data are normalized to calculate the environmental impact factor of monitoring period u. If the environmental impact factor exceeds the pre-construction environmental impact factor threshold, monitoring period u is marked as a period with negative impact on construction; otherwise, monitoring period u is marked as a period with positive impact on construction. The initial environmental assessment coefficient is calculated by comparing the number of negative impact periods of construction with the number of positive impact periods of construction on the current date. If the initial environmental assessment coefficient exceeds the threshold of the preliminary environmental assessment coefficient, it is determined that the construction progress on the current date is unqualified due to poor construction environment. If the initial environmental assessment coefficient does not exceed the threshold of the preliminary environmental assessment coefficient, the environmental assessment coefficient of the negative impact period of construction is subtracted from the threshold of the preliminary environmental assessment coefficient to obtain the environmental difference. All environmental differences are summed and averaged to obtain the environmental performance value. The initial environmental assessment coefficient and the environmental performance value are numerically calculated to obtain the detailed environmental assessment coefficient. If the detailed environmental assessment coefficient exceeds the threshold of the preliminary environmental assessment coefficient, it is determined that the construction progress on the current date is unqualified due to poor construction environment and an abnormal construction environment signal is generated. Otherwise, a normal construction environment signal is generated. The normal construction environment signal is sent to the project supervision and diagnosis module via the server.

4. The construction progress monitoring and management system based on smart construction sites according to claim 3, characterized in that, The methods for obtaining and analyzing temperature, humidity, ultraviolet radiation, rainfall, and air pollution data are as follows: Real-time temperature curves for the detection period u in the analysis area were collected, and a temperature rectangular coordinate system was established with time as the X-axis and temperature as the Y-axis. A temperature upper limit line and a lower limit line parallel to the X-axis were drawn in the temperature rectangular coordinate system. The real-time temperature curve was placed into the temperature rectangular coordinate system, and the duration of the real-time temperature curve lying within the two temperature lines was marked as the suitable temperature duration. The areas enclosed by the real-time temperature curve and the upper temperature limit line, and the areas enclosed by the real-time temperature curve and the lower temperature limit line were marked as temperature deviation regions. The area of ​​the temperature deviation region was obtained and marked as the temperature deviation coefficient. The temperature data was obtained by numerically calculating the temperature deviation coefficient and the suitable temperature duration. Similarly, humidity data was obtained. The ultraviolet intensity curve, rainfall curve, and air pollution curve of the detection period u in the analysis area were collected. Several analysis sites were randomly obtained on the ultraviolet intensity curve. The ultraviolet intensity values ​​corresponding to all analysis sites were summed and the average value was taken to obtain the ultraviolet data. Similarly, the rainfall data and air pollution data were obtained.

5. A construction progress monitoring and management system based on a smart construction site according to claim 3, characterized in that, The specific operation process of the project supervision and diagnosis module includes: The system obtains the actual decrease in the number of construction workers for project i on the current date and the effective construction time for each worker. Workers whose effective construction time does not exceed the preset threshold are marked as abnormal workers. The number of abnormal workers is calculated as the ratio of the number of actual workers to the current number of workers to obtain the percentage of abnormal workers. If the decrease in the number of actual workers exceeds the preset threshold for the decrease in the number of actual workers or the percentage of abnormal workers exceeds the preset threshold for the percentage of abnormal workers, it is determined that the current date's construction progress is unqualified due to poor construction supervision, and a construction supervision failure signal is generated. If the decrease in the actual number of construction workers does not exceed the preset threshold for the decrease in the actual number of construction workers and the percentage of abnormal construction workers does not exceed the preset threshold for the percentage of abnormal construction workers, then the effective construction time of all construction workers is summed and averaged to obtain the average construction time. If the average construction time does not exceed the preset threshold for average construction time, then it is determined that the current date's construction progress is unqualified due to poor construction supervision and a construction supervision failure signal is generated. If the average construction time exceeds the preset threshold for average construction time, then a construction training signal is generated.

6. The construction progress monitoring and management system based on smart construction sites according to claim 1, characterized in that, The server communicates with the project completion urgency assessment module. The server sends a construction progress non-compliance signal to the project completion urgency assessment module. When the project completion urgency assessment module receives the construction progress non-compliance signal, it collects the actual start date of construction project i, calculates the time difference between the current date and the actual start date to obtain the actual number of construction days, subtracts the actual number of construction days from the pre-set number of construction days for construction project i to obtain the construction period difference value, and calculates the ratio between the construction period difference value and the pre-set number of construction days to obtain the construction period performance value. The system collects the actual construction progress value of construction project i on the current date, and obtains the progress value to be completed for construction project i. The project performance coefficient is obtained by numerically calculating the construction period performance value and the progress value to be completed. If the project performance coefficient exceeds the preset project performance coefficient threshold, the corresponding construction project i is marked as a difficult project to complete. The difficult project is sent to the construction supervision and early warning terminal via the server, so that personnel can be added to the corresponding difficult project in a timely manner.

7. A construction progress monitoring and management system based on a smart construction site according to claim 6, characterized in that, When it is necessary to supplement personnel for projects that are difficult to complete, the construction projects with qualified construction progress signals are marked as projects to be transferred. The pending progress value and construction period performance value of the corresponding projects to be transferred are obtained. Projects to be transferred whose pending progress value does not exceed the preset pending progress threshold and whose construction period performance value exceeds the preset construction period performance threshold are marked as preferred transfer projects. The system collects the regional locations of the corresponding difficult-to-complete projects and all preferred selection projects. Based on this, it obtains the path distance values ​​between the corresponding difficult-to-complete projects and the corresponding preferred selection projects. The preferred selection project with the smallest path distance value is marked as the preferred selection project for the corresponding difficult-to-complete project. The preferred selection project for the corresponding difficult-to-complete project is then sent to the construction supervision and early warning terminal via the server.

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