Highway bridge construction data intelligent management method and system

Abstract

The invention discloses an intelligent management method and system for highway bridge construction data, and relates to the technical field of intelligent management of highway bridge construction data, and the method comprises the steps: carrying out the auxiliary collection, processing, analysis and calculation of the construction data through a computer, observing the trend of the construction data through a linear graph, and carrying out the optimization through a data collection module, the method comprises the following steps: acquiring construction data related to a highway bridge in real time, sequentially calculating and outputting initial construction efficiency SCX, adjusted construction efficiency TSX, comprehensive construction efficiency assessment ZGX and comprehensive construction efficiency assessment ZGX based on the construction data by utilizing an efficiency calculation module, and displaying an analysis and optimization result by utilizing a linear graph generation and analysis module. According to the method, intelligent management and optimization of the construction data are realized through an algorithm formula and a cyclic feedback mechanism, the change trend of the construction efficiency is observed by introducing a linear graph, continuous monitoring and optimization along with the construction efficiency are also realized, and a more efficient and accurate management means is provided for the field of highway bridge construction.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management of highway bridge construction data, and in particular to an intelligent management method and system for highway bridge construction data. Background Art

[0002] With the continuous advancement of information technology, modern information technology has been widely used in highway bridge construction. Specifically, it includes building information modeling technology, geographic information system technology, and Internet of Things technology. These technologies provide strong support for the intelligent management of highway bridge construction data. Through building information modeling technology, a three-dimensional model of the bridge can be constructed to realize information management of the entire life cycle of design, construction, and operation and maintenance. Geographic information system technology can realize the collection and analysis of geographic information of the bridge construction site, providing a basis for construction decisions. Internet of Things technology realizes real-time collection and transmission of bridge construction data by connecting various sensors and equipment.

[0003] However, the existing data intelligent management technology applied to highway bridge construction often lacks intelligent data analysis and processing methods, and cannot reflect the changes in construction efficiency in real time and accurately. The existing methods can often only perform single data analysis and cannot form an effective loop feedback mechanism. It is impossible to adjust the construction plan and resource allocation in time according to the analysis results. In addition, the existing technology lacks intuitive and visual efficiency evaluation tools, making it difficult for managers to intuitively understand the changing trends and potential problems of construction efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide a method for intelligent management of highway bridge construction data, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, including a method for collecting, processing, analyzing and calculating construction data with computer assistance, and optimizing the method by observing the trend thereof in a line graph;

[0006] The specific implementation steps are as follows:

[0007] Step S1: using a data acquisition module to collect construction data related to highway bridges in real time;

[0008] Step S2: Based on the construction data, using the efficiency calculation module, the initial construction efficiency SCX, the adjusted construction efficiency TSX, and the comprehensive construction efficiency evaluation ZGX are calculated and output in sequence;

[0009] Step S3: Based on the comprehensive construction efficiency evaluation ZGX, and using the line graph generation and analysis module, the analysis and optimization results are displayed;

[0010] The construction data includes total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R;

[0011] The efficiency calculation module includes a unit reflecting the basic progress efficiency during the construction process, a unit evaluating the adjusted construction progress efficiency, and a unit comprehensively evaluating the construction progress and efficiency;

[0012] The equipment used in the data acquisition module includes sensors, timers, and counters;

[0013] The equipment used in the efficiency calculation module includes computers and servers;

[0014] The equipment used by the line graph generation and analysis module includes a display and a projector.

[0015] Optionally, the calculation formula reflecting the basic progress efficiency unit during the construction process is as follows:

[0016] SCX=D×SDRT(SL)-[(GT+T) / R];

[0017] in:

[0018] SCX is the initial construction efficiency;

[0019] D is the total working days;

[0020] SL is the average daily construction volume;

[0021] GT is the total lost working hours, which represents the total number of lost working hours accumulated during the entire construction period and reflects the unplanned downtime during the construction process;

[0022] T is the number of additional downtimes;

[0023] R is the total number of construction workers.

[0024] Optionally, the calculation formula of the adjusted construction progress efficiency evaluation unit is as follows:

[0025] TSX = SCX + (D-GT) × RT-TF;

[0026] in:

[0027] TSX is adjusted construction efficiency;

[0028] RT is the adjustment coefficient of per capita construction efficiency, and RT reflects the change of per capita construction efficiency;

[0029] TF is the first negative impact factor, which measures the degree of negative impact of the additional number of downtimes T on efficiency;

[0030] The calculation of D-GT reflects the number of effective working days.

[0031] Optionally, the calculation formula of the per capita construction efficiency adjustment coefficient RT is as follows:

[0032] RT = R / SQRT(SL);

[0033] The calculation formula of the first negative impact factor TF is as follows:

[0034] TF=T×(D / R).

[0035] Optionally, the calculation formula for the comprehensive evaluation of construction progress and efficiency unit is as follows:

[0036] ZGX = TSX + SQRT (D) × (RT) - GF;

[0037] in:

[0038] ZGX is the comprehensive construction efficiency evaluation;

[0039] GF is the second negative impact factor, which is used to deduct from TSX+SQRT(D)×(RT) to reflect the negative impact of the total lost working hours GT on the actual construction efficiency;

[0040] The calculation of RT reflects the difference between the actual total number of construction personnel R and the number of additional stoppages T.

[0041] Optionally, the calculation formula of the second negative impact factor GF is as follows:

[0042] GF = TS × (GT / SQRT (SL) + T).

[0043] Optionally, the adjustment steps based on the comprehensive construction efficiency evaluation ZGX are as follows:

[0044] If the comprehensive construction efficiency evaluation ZGX shows an upward trend on the line graph, it means that the construction efficiency is gradually improving and the current management measures should be maintained;

[0045] If the comprehensive construction efficiency evaluation ZGX shows a downward trend on the line graph, it means that the construction efficiency is gradually decreasing, and the management measures should be adjusted as follows:

[0046] In the scenario where construction is urgent and cost increases do not affect cost control, the total number of construction personnel R should be increased;

[0047] In the scenario of cost control, the total lost working hours GT should be reduced, thereby increasing the average daily construction volume SL and reducing the number of additional shutdowns T.

[0048] The purpose of the present invention is to provide a highway bridge construction data intelligent management system, including a data acquisition module, an efficiency calculation module, a line graph generation and analysis module

[0049] The data collection module is used to collect the total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R related to highway bridges in real time;

[0050] The efficiency calculation module is used to calculate and analyze the construction data collected in real time;

[0051] The line graph generation and analysis module is used to display line graph analysis and optimization results.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. The present invention utilizes the basic progress efficiency unit reflecting the construction process, the adjusted construction progress efficiency evaluation unit, the algorithm for comprehensively evaluating the construction progress and efficiency unit, and the loop feedback mechanism, so that the system can calculate the initial construction efficiency SCX, the adjusted construction efficiency TSX, and the comprehensive construction efficiency evaluation ZGX in real time, thereby providing an intelligent management method and improving the efficiency and accuracy of data processing.

[0054] 2. The present invention calculates the comprehensive construction efficiency evaluation ZGX and introduces a line graph to observe its trend, so that the system can promptly discover potential problems in the construction process, and adjust the construction plan and resource allocation in time according to the analysis results, forming an effective circular feedback mechanism.

[0055] 3. The present invention uses the visualization tool of line graph to intuitively and intelligently display the changing trends and potential problems of the comprehensive construction efficiency evaluation ZGX, so that the construction situation can be understood more clearly, more accurate decisions can be made, and it is conducive to the intelligent management of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 A method flow chart of the intelligent management method and system for highway bridge construction data;

[0057] Figure 2 It is a structural schematic diagram of the efficiency calculation module of the present invention;

[0058] Figure 3 It is an upward trend diagram of the comprehensive construction efficiency evaluation ZGX on the linear graph in the present invention;

[0059] Figure 4 It is a downward trend diagram of the comprehensive construction efficiency evaluation ZGX on the linear graph in the present invention. DETAILED DESCRIPTION

[0060] 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.

[0061] The intelligent management method and system for highway bridge construction data are different from the existing intelligent data management technologies. The existing intelligent data management technologies often lack intelligent data analysis and processing methods, and thus cannot form an effective loop feedback mechanism. In addition, there is a lack of intuitive and visual efficiency evaluation tools. The algorithm unit realizes the intelligent management and optimization of construction data through algorithm formulas and loop feedback mechanisms, and introduces line graphs to observe the changing trends of construction efficiency, and also realizes continuous monitoring and optimization of construction efficiency, providing a more efficient and accurate management method for the field of highway bridge construction.

[0062] For example, see Figures 1 to 4 ,This implementation provides a method for intelligent management of highway bridge construction data, including a method of collecting, processing, analyzing and calculating construction data with computer aided and optimizing by observing its trend in line graph;

[0063] The specific implementation steps are as follows:

[0064] Step S1: using a data acquisition module to collect construction data related to highway bridges in real time;

[0065] Step S2: Based on the construction data, using the efficiency calculation module, the initial construction efficiency SCX, the adjusted construction efficiency TSX, and the comprehensive construction efficiency evaluation ZGX are calculated and output in sequence;

[0066] Step S3: Based on the comprehensive construction efficiency evaluation ZGX, and using the line graph generation and analysis module, the analysis and optimization results are displayed;

[0067] Among them, the construction data includes total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R;

[0068] The efficiency calculation module includes a unit that reflects the basic progress efficiency during the construction process, a unit for evaluating the efficiency of the adjusted construction progress, and a unit for comprehensively evaluating the construction progress and efficiency.

[0069] The equipment used in the data acquisition module includes sensors, timers, and counters;

[0070] The equipment used in the efficiency calculation module includes computers and servers;

[0071] The equipment used in the line graph generation and analysis module includes monitors and projectors;

[0072] This implementation provides a highway bridge construction data intelligent management system, including a data acquisition module, an efficiency calculation module, a line graph generation and analysis module

[0073] The data collection module is used to collect the total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R related to highway bridges in real time;

[0074] The efficiency calculation module is used to calculate, process and analyze the construction data collected in real time;

[0075] The line chart generation and analysis module is used to display line chart analysis and optimization results.

[0076] In this embodiment, the system provides strong support for the intelligent management of highway bridge construction data through the mutual cooperation of three algorithm units and the combination of the three operation results of SCX, TSX and ZGX. Specifically, SCX is the initial construction efficiency. The algorithm unit can provide a comprehensive and intuitive construction efficiency evaluation index. This index can reflect the basic situation in the construction process and provide basic data support for subsequent optimization and management. TSX is the adjusted construction efficiency. This algorithm step is to more accurately reflect the impact of various factors on the efficiency in the actual construction process, so as to obtain a construction efficiency evaluation value that is closer to the actual situation. ZGX is the comprehensive construction efficiency evaluation. The algorithm unit can more comprehensively reflect the impact of various factors on the efficiency in the construction process, so as to obtain a A more comprehensive and in-depth construction efficiency evaluation result can be obtained. At the same time, this result can also be fed back to the total working days D in SCX, forming a circular influence mechanism by affecting the actual number of working days and the construction plan, which is helpful to continuously optimize the construction efficiency. The calculation results of ZGX can also affect the calculations fed back to SCX and TSX, so that the three algorithms of this system each have significant beneficial effects. The circular influence mechanism of ZGX on SCX further enhances the comprehensiveness and accuracy of the construction efficiency evaluation, which not only helps to improve the optimization and management level of construction efficiency, but also can provide support and services for various decisions in the construction process. Therefore, in the intelligent management of highway bridge construction data, the three algorithm units of this system and their circular influence mechanism have important application value and practical significance.

[0077] See also Figures 1 to 4 , the calculation formula reflecting the basic progress efficiency unit in the construction process is as follows:

[0078] SCX=D×SDRT(SL)-[(GT+T) / R];

[0079] in:

[0080] SCX is the initial construction efficiency;

[0081] D is the total working days;

[0082] SL is the average daily construction volume;

[0083] GT is the total lost working hours, which represents the total number of lost working hours accumulated during the entire construction period and reflects the unplanned downtime during the construction process;

[0084] T is the number of additional downtimes;

[0085] R is the total number of construction workers.

[0086] In this embodiment: First, the calculation part of "D×SDRT(SL)" in this algorithm unit is intended to measure the comprehensive effect of the total working days D and the average daily construction volume SL. The total working days D represents the total time of the construction activities, and the average daily construction volume SL reflects the construction volume completed every day. By multiplying the total working days D with the average daily construction volume SL and taking the square root of the average daily construction volume SL, a comprehensive index that takes both time and workload into consideration can be obtained. This comprehensive index is the basis for calculating the initial construction efficiency SCX, which reflects the efficiency level that the construction activities will achieve under the given total working days D and the average daily construction volume SL;

[0087] The calculation part of "(GT+T) / R" is used to measure the impact of the total lost working hours GT and the additional downtime times T on the total number of construction personnel R. By adding these two factors and dividing them by the total number of construction personnel R, an indicator representing the average downtime loss suffered by each operator can be obtained. This indicator is used to deduct from the initial construction efficiency SCX to reflect the actual impact of downtime on efficiency, which helps to understand the negative impact of downtime on the work efficiency of construction personnel;

[0088] The basic progress efficiency unit of the algorithm reflects the construction process. By comprehensively considering the key parameters of total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R, it ensures the comprehensiveness and accuracy of the construction efficiency evaluation. These parameters can fully reflect the impact of various factors in the construction process on the construction efficiency, avoiding the one-sidedness of the single indicator evaluation.

[0089] The structure of the basic progress efficiency unit reflecting the construction process is clear and the parameters are clearly defined, so that its calculation principle and application method can be easily understood, which is helpful to improve the popularity and application effect of construction efficiency evaluation. The initial construction efficiency SCX calculated by the basic progress efficiency unit reflecting the construction process is the basis for the subsequent adjustment of the construction progress efficiency evaluation unit and the calculation of the comprehensive and integrated evaluation of the construction progress and efficiency unit. Its accuracy and reliability directly affect the accuracy and effectiveness of the subsequent evaluation results. Therefore, the accurate calculation of the basic progress efficiency unit reflecting the construction process is crucial to the stability and reliability of the entire construction efficiency evaluation system.

[0090] It is worth noting that the total lost man-hours GT can fully and accurately reflect the unplanned shutdowns caused by various reasons during the entire construction period. Some of these shutdowns are intermittent, and some are continuous. In either case, they will have an adverse impact on the construction progress and efficiency. By calculating the cumulative total lost man-hours GT, the shutdowns in different time periods and different construction stages can be compared and analyzed, which helps to identify the main causes, frequency and duration of the shutdowns, thereby providing data support for subsequent construction management and optimization. The total lost man-hours GT is one of the key factors affecting construction efficiency. In the unit reflecting the basic progress efficiency during the construction process, the total lost man-hours GT is one of the important parameters for calculating the initial construction efficiency SCX. Its value directly determines the value of the initial construction efficiency SCX. Therefore, by calculating the cumulative total loss, the construction efficiency can be more accurately evaluated.

[0091] As mentioned above, the total lost working hours GT is one of the key factors affecting construction efficiency. By calculating the total lost working hours GT, the initial construction efficiency SCX can be obtained, thereby evaluating the level of construction efficiency, which helps to timely discover problems in the construction process and take corresponding measures to improve them. By calculating and analyzing the cumulative total losses, the unreasonableness in the construction plan can be identified. Among them, unplanned shutdowns will lead to increased construction costs. By calculating the cumulative total losses, the additional costs caused by the shutdown can be estimated, and corresponding measures can be taken to control and reduce them. In addition, long-term shutdowns will have an adverse effect on construction quality. By calculating the cumulative total losses, the impact of shutdowns on construction quality can be discovered in a timely manner, and corresponding remedial measures can be taken to ensure the stability and reliability of construction quality.

[0092] In summary, the total lost working time GT is one of the important parameters for calculating the initial construction efficiency SCX. Its calculation purpose is not only to evaluate the level of construction efficiency, but also to optimize the construction plan, reduce construction costs and improve construction quality, which is of great significance to improving the economic and social benefits of the entire project.

[0093] See also Figures 1 to 4 , the calculation formula of the adjusted construction progress efficiency evaluation unit is as follows:

[0094] TSX = SCX + (D-GT) × RT-TF;

[0095] in:

[0096] TSX is adjusted construction efficiency;

[0097] RT is the adjustment coefficient of per capita construction efficiency, and RT reflects the change of per capita construction efficiency;

[0098] TF is the first negative impact factor, which measures the degree of negative impact of the additional number of downtimes T on efficiency;

[0099] The calculation of D-GT reflects the number of effective working days;

[0100] The calculation formula of per capita construction efficiency adjustment coefficient RT is as follows:

[0101] RT = R / SQRT(SL);

[0102] The calculation formula of the first negative impact factor TF is as follows:

[0103] TF=T×(D / R).

[0104] In this embodiment, firstly, the calculation part of "SCX+(D-GT)×RT" is intended to adjust the initial construction efficiency SCX according to the effective working days "D-GT" and the per capita construction efficiency adjustment coefficient RT. The effective working days reduce the impact of lost working hours, while the per capita construction efficiency adjustment coefficient RT considers the relationship between the total number of construction personnel R and the average daily construction volume SL. By adjusting the initial construction efficiency SCX, this calculation part obtains an adjusted construction efficiency TSX that is closer to the actual construction situation, and it helps to understand the actual efficiency level of the construction activities after considering the downtime and per capita construction efficiency;

[0105] Among them, the per capita construction efficiency adjustment coefficient RT is used to measure the efficiency level of each operator relative to the average daily construction volume. It takes into account the relationship between the total number of construction personnel R and the average daily construction volume SL, and is used to adjust the initial construction efficiency SCX to reflect the change in per capita construction efficiency. The first negative impact factor TF is used to measure the negative impact of the additional shutdown times T on efficiency. It multiplies the additional shutdown times T by the average number of working days undertaken by each operator to obtain an indicator representing the impact of shutdown on efficiency. This indicator is used to deduct from the adjusted construction efficiency to reflect the negative impact of shutdown on actual construction efficiency.

[0106] The adjusted construction progress efficiency evaluation unit of this algorithm makes a more detailed and accurate evaluation of construction efficiency by introducing the effective working days and the second negative impact factor GF related parameters. These parameters can more truly reflect the impact of various factors on efficiency in the actual construction process, making the evaluation results closer to the actual situation.

[0107] Work stoppage is a common phenomenon in the construction process and has a significant impact on efficiency. After the adjustment, the construction progress efficiency evaluation unit introduces the negative impact parameters of work stoppage on efficiency and incorporates the work stoppage factor into the evaluation system, making the evaluation results more comprehensive and accurate. This helps the system better understand the impact of work stoppage on efficiency, so as to take more effective measures to reduce work stoppage time and improve construction efficiency.

[0108] The adjusted construction efficiency TSX calculated by the adjusted construction progress efficiency evaluation unit provides a more accurate data basis for the subsequent comprehensive construction efficiency evaluation, which helps to improve the accuracy and reliability of the entire evaluation system and provide stronger support for the optimization and management of construction efficiency.

[0109] See also Figures 1 to 4 , the calculation formula for comprehensive evaluation of construction progress and efficiency units is as follows:

[0110] ZGX = TSX + SQRT (D) × (RT) - GF;

[0111] in:

[0112] ZGX is the comprehensive construction efficiency evaluation;

[0113] GF is the second negative impact factor, which is used to deduct from TSX+SQRT(D)×(RT) to reflect the negative impact of the total lost working hours GT on the actual construction efficiency;

[0114] The calculation of RT reflects the difference between the actual total number of construction personnel, R, and the number of additional stoppages, T;

[0115] The calculation formula based on the second negative impact factor GF is as follows:

[0116] GF = TS × (GT / SQRT (SL) + T).

[0117] In this embodiment, the algorithm unit firstly calculates the construction efficiency according to the square root of the adjusted construction efficiency TSX and the total working days D, "SQRT(D)", and the difference between the actual total number of construction personnel R and the additional number of stoppages T, "(RT)", to comprehensively evaluate the construction efficiency. The square root of the total working days D is used as the adjustment of the time factor, while the difference between the actual total number of construction personnel R and the additional number of stoppages T reflects the actual working situation of the construction personnel. By comprehensively considering the adjusted construction efficiency, time factors and the actual situation of the construction personnel, this calculation part obtains a more comprehensive comprehensive construction efficiency evaluation, which helps the system understand the overall efficiency level of the construction activities and provides a basis for subsequent management and decision-making.

[0118] The second negative impact factor GF is used to measure the negative impact of the total lost working hours GT on the adjusted construction efficiency. It multiplies the adjusted construction efficiency with the ratio of the total lost working hours GT to the average daily construction volume SL and the number of additional stoppages T, and obtains an indicator that represents the impact of lost working hours on efficiency. This indicator is used to deduct from the comprehensive construction efficiency evaluation to reflect the negative impact of lost working hours on the actual construction efficiency.

[0119] Comprehensive evaluation of construction progress and efficiency The unit takes into account multiple factors, including time factors, personnel factors and lost working hours, and conducts a comprehensive and in-depth evaluation of construction efficiency, which makes the evaluation results more comprehensive and accurate, and can more truly reflect the impact of various factors on efficiency during the construction process;

[0120] After calculating the comprehensive construction efficiency evaluation ZGX, by introducing a line graph to observe its trend, we can intuitively understand the changes in construction efficiency, which helps the system better grasp the changing rules of construction efficiency and take more effective measures to optimize and manage construction efficiency. At the same time, the line graph can also provide a more intuitive and clear visual effect, making the evaluation results easier to understand and accept. The comprehensive construction efficiency evaluation ZGX results in the comprehensive and comprehensive evaluation of the construction progress and efficiency unit can be fed back to reflect the total working days D in the basic progress efficiency unit during the construction process. By affecting the actual number of working days and the construction plan, a circular influence mechanism is formed, which helps to continuously optimize the construction efficiency and improve the efficiency level of the entire construction process. At the same time, this circular influence mechanism can also promote the intelligent management of construction data and improve the efficiency and accuracy of construction management.

[0121] For example 2, please refer to Figures 1 to 4 , the adjustment steps of ZGX based on comprehensive construction efficiency evaluation are as follows:

[0122] If the comprehensive construction efficiency evaluation ZGX shows an upward trend on the line graph, it means that the construction efficiency is gradually improving and the current management measures should be maintained;

[0123] If the comprehensive construction efficiency evaluation ZGX shows a downward trend on the line graph, it means that the construction efficiency is gradually decreasing, and the management measures should be adjusted as follows:

[0124] In the scenario where construction is urgent and cost increases do not affect cost control, the total number of construction personnel R should be increased;

[0125] In the scenario of cost control, the total lost working hours GT should be reduced, thereby increasing the average daily construction volume SL and reducing the number of additional shutdowns T.

[0126] In this embodiment, the comprehensive construction efficiency evaluation ZGX result calculated by comprehensively evaluating the construction progress and efficiency unit can reflect the current construction status in real time. When the comprehensive construction efficiency evaluation ZGX shows a downward trend, it means that the construction efficiency is reduced. At this time, it can be adjusted according to the parameters in the basic progress efficiency unit reflecting the construction process. This adjustment is dynamic and can be flexibly responded to according to different construction stages and conditions, thereby ensuring that the construction efficiency is always at a high level;

[0127] The circular feedback mechanism prompts the system to pay attention to the use of various resources during the construction process, including the total number of construction personnel R, the total lost working hours GT, and the average daily construction volume SL. Through real-time monitoring and adjustment of these parameters, it can optimize resource allocation, avoid resource waste and shortage, and improve resource utilization efficiency;

[0128] Among them, by observing the trend of the comprehensive construction efficiency evaluation ZGX through a line chart, potential problems in the construction process can be discovered in time. Specifically, when the comprehensive construction efficiency evaluation ZGX continues to decline, it indicates the emergence of problems such as fatigue of construction workers and aging of equipment. At this time, measures can be taken in advance to intervene and prevent problems from further deteriorating;

[0129] The loop feedback mechanism enables the system to respond quickly to changes in the construction process and adjust management strategies in a timely manner. This ability to respond quickly and flexibly improves management efficiency, allowing construction projects to proceed smoothly as planned. By continuously monitoring and adjusting construction efficiency, it can ensure that the construction quality is always at a high level. Specifically, by increasing the total number of construction personnel R and increasing the average daily construction volume SL, the construction progress can be accelerated while ensuring that the construction quality is not affected.

[0130] The feedback loop mechanism helps to optimize resource allocation and reduce waste, thereby reducing construction costs. Specifically, by reducing the total lost working hours GT and the number of additional stoppages T, the additional cost expenditure caused by stoppages can be reduced;

[0131] The loop feedback mechanism enables the intelligent management method and system to make adaptive adjustments according to different construction environments and conditions. This adaptability enables the system to better cope with complex and changing construction environments and improve the stability and reliability of the system.

[0132] In summary, the loop feedback mechanism plays an important role in the intelligent management method and system of highway bridge construction data. By real-time monitoring and adjusting construction efficiency-related parameters, it can optimize resource allocation, prevent potential problems, improve management efficiency and quality, reduce construction costs, and enhance the adaptability of the system. These beneficial effects enable the intelligent management method and system to better serve the smooth progress of highway bridge construction projects.

[0133] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for intelligent management of highway bridge construction data, characterized in that: It includes the use of computers to collect, process, analyze and calculate construction data, and to observe its trend in line graphs for optimization; The specific implementation steps are as follows: Step S1: using a data acquisition module to collect construction data related to highway bridges in real time; Step S2: Based on the construction data, using the efficiency calculation module, the initial construction efficiency SCX, the adjusted construction efficiency TSX, and the comprehensive construction efficiency evaluation ZGX are calculated and output in sequence; Step S3: Based on the comprehensive construction efficiency evaluation ZGX, and using the line graph generation and analysis module, the analysis and optimization results are displayed; The construction data includes total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R; The efficiency calculation module includes a unit reflecting the basic progress efficiency during the construction process, a unit for evaluating the adjusted construction progress efficiency, and a unit for comprehensively evaluating the construction progress and efficiency.

2. A method for intelligent management of highway bridge construction data according to claim 1, characterized in that: The equipment used by the data acquisition module includes sensors, timers, and counters; The equipment used by the efficiency calculation module includes computers and servers; The devices used by the line graph generation and analysis module include a display and a projector.

3. The method for intelligent management of highway bridge construction data according to claim 2 is characterized in that: The calculation formula reflecting the basic progress efficiency unit during the construction process is as follows: SCX=D×SDRT(SL)-[(GT+T) / R]; in: SCX is the initial construction efficiency; D is the total working days; SL is the average daily construction volume; GT is the total lost working hours, which represents the total number of lost working hours accumulated during the entire construction period and reflects the unplanned downtime during the construction process; T is the number of additional downtimes; R is the total number of construction workers.

4. The method for intelligent management of highway bridge construction data according to claim 3 is characterized by: The calculation formula of the adjusted construction progress efficiency evaluation unit is as follows: TSX = SCX + (D-GT) × RT-TF; in: TSX is adjusted construction efficiency; RT is the adjustment coefficient of per capita construction efficiency, and RT reflects the change of per capita construction efficiency; TF is the first negative impact factor, which measures the degree of negative impact of the additional number of downtimes T on efficiency; The calculation of D-GT reflects the number of effective working days.

5. The method for intelligent management of highway bridge construction data according to claim 4 is characterized in that: The calculation formula of the per capita construction efficiency adjustment coefficient RT is as follows: RT = R / SQRT(SL); The calculation formula of the first negative impact factor TF is as follows: TF=T×(D / R).

6. The method for intelligent management of highway bridge construction data according to claim 4, characterized in that: The calculation formula for the comprehensive evaluation of construction progress and efficiency unit is as follows: ZGX = TSX + SQRT (D) × (RT) - GF; in: ZGX is the comprehensive construction efficiency evaluation; GF is the second negative impact factor, which is used to deduct from TSX+SQRT(D)×(RT) to reflect the negative impact of the total lost working hours GT on the actual construction efficiency; The calculation of RT reflects the difference between the actual total number of construction personnel R and the number of additional stoppages T.

7. The method for intelligent management of highway bridge construction data according to claim 6, characterized in that: The calculation formula of the second negative impact factor GF is as follows: GF = TS × (GT / SQRT (SL) + T).

8. The method for intelligent management of highway bridge construction data according to claim 6, characterized in that: The adjustment steps of ZGX based on the comprehensive construction efficiency evaluation are as follows: If the comprehensive construction efficiency evaluation ZGX shows an upward trend on the line graph, it means that the construction efficiency is gradually improving and the current management measures should be maintained; If the comprehensive construction efficiency evaluation ZGX shows a downward trend on the line graph, it means that the construction efficiency is gradually decreasing, and the management measures should be adjusted as follows: In the scenario where construction is urgent and cost increases do not affect cost control, the total number of construction personnel R should be increased; In the scenario of cost control, the total lost working hours GT should be reduced, thereby increasing the average daily construction volume SL and reducing the number of additional shutdowns T.

9. An intelligent management system for highway bridge construction data, characterized in that: Including data acquisition module, efficiency calculation module, line chart generation and analysis module The data collection module is used to collect the total working days D, average daily construction volume SL, total lost working hours GT, additional downtime times T, and total number of construction personnel R related to highway bridges in real time; The efficiency calculation module is used to calculate and analyze the construction data collected in real time; The line graph generation and analysis module is used to display line graph analysis and optimization results.

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