Construction project progress optimization management system

Abstract

The invention discloses a construction project progress optimization management system, relates to the technical field of bandwidth management, and is used for improving the problem of construction efficiency reduction caused by insufficient or excessive expected project deadline due to supply change and abnormal environmental factors in a construction project, and the construction project progress optimization management system comprises the steps of performing project cutting on a to-be-processed project to obtain a plurality of project subparts; according to the method, resource and material resource data and resource and human resource data are collected and preprocessed, then each project sub-part is processed and allocated, a return signal is set according to a processing and allocation result, and supply chain information and meteorological information of each project sub-part in a project to be processed are collected by using the return signal; and performing simulation allocation on the execution deadline of each project sub-part, detecting each project sub-part in real time, comparing the detection result with a preset project sub-part execution condition to generate different efficiency increasing signals, changing a simulation allocation result according to the efficiency increasing signals, and performing deadline allocation on the project sub-parts in combination with the detection result and the simulation allocation result.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and more specifically, to a construction project progress optimization management system. Background Art

[0002] The traditional construction project progress optimization management system uses a fixed progress management model, which cannot adapt to the special needs of different projects and cannot effectively deal with the complexity and variability of different projects, resulting in irrational resource allocation and unscientific progress scheduling, thus affecting the overall efficiency and effectiveness of the project.

[0003] The prior art has the following deficiencies: The existing system sets the construction deadline by analyzing each project in advance and predicting the progress time of each project. When there are changes in the project, the construction time will be delayed or shortened, resulting in reduced construction efficiency and delayed decision-making. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a construction project progress optimization management system, which divides the project to be processed into stages, analyzes the project executors and material simulation allocation results, comprehensively considers material changes and climate influencing factors to screen the project executors and arrange the execution deadlines of each stage, detects the progress of each stage in real time and determines whether to perform efficiency improvement processing, and integrates the final stage execution deadline in real time to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A construction project progress optimization management system, including a data collection module, a project allocation module, a state simulation module and a resource allocation module; The data acquisition module is used to collect resource material data and resource human data, and send them to the project allocation module after pre-processing. After receiving the feedback signal, it collects the supply chain information and meteorological information of each engineering sub-unit in the project to be processed and transmits them to the state simulation module; The project allocation module is used to divide the project to be processed into multiple project sub-divisions, and to process and allocate the project sub-divisions in combination with the resource material data and resource human data. A feedback signal is set according to the processing and allocation result, and the feedback signal is transmitted back to the data acquisition module. The status simulation module uses supply chain information and meteorological information to simulate the execution deadlines of each engineering sub-unit, and sends the simulation allocation results to the resource allocation module. After receiving the efficiency improvement signal, the simulation allocation results are changed through the efficiency improvement mechanism and sent back to the resource allocation module; The resource allocation module is used to perform real-time detection on each engineering sub-department, formulate execution conditions for the engineering sub-department, compare the detection results with the execution conditions of the engineering sub-department to determine whether to formulate an efficiency improvement signal. The formulated efficiency improvement signal is sent to the status simulation module, and the deadlines for the engineering sub-department are allocated according to the simulation allocation results.

[0006] In a preferred embodiment, the resource material data in the data acquisition module is the total amount of materials involved in the project to be processed, and the resource manpower data is the total amount of personnel involved in the project to be processed and the working hours of each personnel; The preprocessing of resource material data and resource human data is to unify different measurement units of the same type of data.

[0007] In a preferred embodiment, the project allocation module first divides the to-be-processed project into projects according to the preset project stages, and uses the divided and separated projects as project sub-parts; The project allocation module processes and allocates resource material data and resource human data to the engineering sub-department. The specific steps are as follows: When processing resource and material data, access the project database to obtain the material type labels and material quantities required for each project sub-department; then allocate the total amount of materials for the project to be processed according to the material quantities required for each project sub-department. When allocating the total number of personnel for the project to be processed, call the personnel deployment log to obtain the working dates of the personnel for different projects to be processed.

[0008] In a preferred embodiment, the working dates of the personnel of the to-be-processed project are matched with the preset execution dates of each engineering sub-section, and the personnel within the same execution date are marked, and then the working hours of these personnel with the same mark are sorted from large to small, and they are assigned to the same engineering sub-section according to the sorting order, and a control mechanism is set to accumulate the working hours of the personnel in the sorting order. When the accumulated working hours of the last person with the same mark exceed the preset execution date interval of the corresponding engineering sub-section, a skip command is executed, and the operation is repeated until the accumulated working hours of the current person are lower than the preset interval, and the last skipped person is used as the last execution person of the engineering sub-section; According to the above steps, the executive personnel of each engineering sub-department are screened out and the executive personnel allocation list is generated in random order.

[0009] In a preferred embodiment, the required material type labels, required material quantities and execution personnel allocation lists allocated to each engineering sub-division are the processing allocation results. When the processing allocation process is completed, a feedback signal is automatically generated and sent to the data acquisition module.

[0010] In a preferred embodiment, the supply chain information includes supply change information issued by the material supply source, including the changed material type label and the supply delay time or advance time of each changed type of material. The meteorological information includes the meteorological conditions of the entire process of the project to be processed and the occurrence date of each meteorological condition.

[0011] In a preferred embodiment, the state simulation module simulates and allocates the execution deadlines of each engineering sub-unit through supply chain information and weather information. The specific steps are as follows: Exception marking: Match the changed material type labels in the supply chain information with the material type labels of each engineering sub-department; If the engineering sub-section contains a variable material type tag, it will be marked as an exception; Screen abnormal meteorological conditions through the meteorological classification table and compare their occurrence dates with the execution dates of the engineering sub-units; If the occurrence date of the abnormal meteorological state is within the execution date, the state will be matched and locked with the corresponding engineering sub-section, and a Class II abnormality mark will be performed; Abnormality assessment: When the engineering sub-department has two types of abnormality marks, it is assessed as a severe abnormality; when the engineering sub-department has a single type of abnormality mark, it is assessed as a mild abnormality; Exception handling: Select different exception handling methods based on the exception assessment results of each engineering sub-department to obtain the simulation allocation results; If the engineering sub-section performs simulation allocation without performing an exception mark, no efficiency improvement signal is generated and the simulation allocation result of the corresponding engineering sub-section is set as the execution time of the corresponding engineering sub-section.

[0012] In a preferred embodiment, the specific steps of the state simulation module for performing exception handling are as follows: Identify abnormal markers: Scan the abnormal markers of each engineering sub-division and obtain abnormal assessment results; Select the exception handling method: If the abnormality assessment result is a mild abnormality and is marked as a Class I abnormality, execute abnormality handling method 1; if it is a mild abnormality and is marked as a Class II abnormality, execute abnormality handling method 2; if the abnormality assessment result is a severe abnormality, execute abnormality handling method 3; Exception handling method 1: If the supply chain information is the material supply delay time, the simulation allocation result is the sum of the execution time and the material delay time. If the supply chain information is the material supply advance time, the simulation allocation result is the execution time. Abnormal processing method 2: Take the time interval occupied by the occurrence date of abnormal meteorological conditions as the adjustment time basis, set the time division ratio, and the simulation allocation result is the cumulative result of the execution time and different multiples of small unit time; Exception handling method 3: first execute exception handling method 1 and method 2, use the multiple simulation allocation results of method 2 as the first input, the result of method 1 as the second input, and sum the multiple first inputs and the second inputs to obtain multiple simulation allocation results.

[0013] In a preferred embodiment, the completion time of the processing of the engineering sub-part of the processing project is recorded, and the specific steps are as follows: When the engineering sub-department executes exception handling method 1 and the processing completion time is lower than the simulation allocation result, a type of efficiency improvement signal is generated; When the engineering sub-department executes exception handling method 2 or method 3 and the processing completion time is lower than the maximum value of the simulation allocation result: sort the simulation allocation results from small to large values; Traverse the simulation allocation results until the first result that exceeds the processing completion time is found, mark the result as the efficiency improvement time, and generate a second-class efficiency improvement signal; otherwise, no efficiency improvement signal is generated.

[0014] In a preferred implementation, the resource allocation module transmits the generated efficiency improvement signal to the state simulation module, and the specific steps are as follows: Efficiency improvement signal processing: If the efficiency improvement signal is of type I, the simulation allocation result of the current engineering sub-unit is changed to the processing completion time; if the efficiency improvement signal is of type II, the simulation allocation result is changed to the efficiency improvement time; When the resource allocation module performs real-time detection on each engineering sub-unit, if there is no abnormal mark on the current engineering sub-unit, its execution time will be used as the execution deadline; if there is an abnormal mark 1, it will determine whether to formulate an efficiency improvement signal based on the execution conditions: if not formulated, the simulation allocation result will be used as the execution deadline; if formulated, the simulation allocation result after the efficiency improvement mechanism will be used as the execution deadline; If the current project has abnormal mark 2 or 3, the execution conditions will be used to determine whether to formulate an efficiency improvement signal: if not formulated, the maximum value of the simulated allocation result will be used as the execution deadline; if formulated, the simulated allocation result after the efficiency improvement mechanism will be used as the execution deadline.

[0015] Technical effects and advantages of a construction project progress optimization management system of the present invention: The present invention performs project segmentation on the project to be processed to obtain multiple project sub-sections, collects resource material data and resource manpower data for pre-processing, and then processes and allocates each project sub-section. The pre-processing facilitates subsequent data operations, and sets a feedback signal according to the processing and allocation result. The feedback signal is used to collect supply chain information and meteorological information of each project sub-section in the project to be processed, and simulates and allocates the execution deadline of each project sub-section. The simulated allocation is performed according to the collected influencing factors to improve the accuracy of resource allocation, and each project sub-section is detected in real time. Different efficiency-enhancing signals are generated by comparing the detection results and the preset execution conditions of the project sub-sections. The simulated allocation results are changed according to the efficiency-enhancing signals, and the deadlines of the project sub-sections are allocated in combination with the detection results and the simulated allocation results, so as to reduce the loss of project resources caused by emergencies. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flow chart of a construction project progress optimization management system. DETAILED DESCRIPTION

[0017] 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.

[0018] The present invention performs project segmentation on the project to be processed to obtain multiple project sub-sections, collects resource material data and resource manpower data for pre-processing, and then distributes processing to each project sub-section, sets a feedback signal according to the processing distribution result, uses the feedback signal to collect supply chain information and meteorological information of each project sub-section in the project to be processed, simulates and distributes the execution deadline of each project sub-section, detects each project sub-section in real time, compares the detection result and the preset project sub-section execution conditions to generate different efficiency-enhancing signals, changes the simulation distribution result according to the efficiency-enhancing signal, distributes deadlines to the project sub-sections in combination with the detection result and the simulation distribution result, and reduces the loss of project resources caused by emergencies.

[0019] Embodiment, a construction project progress optimization management system, such as Figure 1 As shown, it includes a data acquisition module, a project allocation module, a state simulation module and a resource allocation module, and the modules are connected by electrical signals; The functions of each module are as follows: The data acquisition module is used to collect resource material data and resource human data, and send them to the project allocation module after pre-processing. After receiving the feedback signal, it collects the supply chain information and meteorological information of each engineering sub-unit in the project to be processed and transmits them to the state simulation module; The project allocation module is used to divide the project to be processed into multiple project sub-divisions, process and allocate resource material data and resource human data to the project sub-divisions, set a feedback signal according to the processing and allocation results, and transmit the feedback signal back to the data acquisition module; The status simulation module uses supply chain information and meteorological information to simulate the execution deadlines of each engineering sub-unit, and sends the simulation allocation results to the resource allocation module. After receiving the efficiency improvement signal, the simulation allocation results are changed through the efficiency improvement mechanism and sent back to the resource allocation module; The resource allocation module is used to perform real-time detection on each engineering sub-department, formulate execution conditions for the engineering sub-department, compare the detection results with the execution conditions of the engineering sub-department to generate different efficiency improvement signals, and send the formulated efficiency improvement signals to the status simulation module to allocate deadlines for the engineering sub-department based on the simulation allocation results.

[0020] It should be noted that the material and human resources spent on different projects in the pending projects are different. The basic deadline status setting is obtained based on the material and human resources spent on the projects to lock the direction of resource allocation. After the impact of each project is evaluated using supply chain information and meteorological information, multiple deadline time channels are set. Then, different deadline time channels are instantly selected based on real-time detection results to reduce the impact of emergencies on each project in the pending projects, improve response time, and reduce abnormal risks of engineering projects.

[0021] The resource material data in the data collection module is the total amount of materials involved in the project to be processed, and the resource human data is the total number of personnel involved in the project to be processed and the working hours of each personnel; The data collection module pre-processes the resource material data and resource human data. The specific processing content is: use a unified measurement unit for the same type of data.

[0022] For example, if there are two types of materials for a project to be processed, and the quantities of the two materials are 800 kg and 1.2 tons respectively, then 800 kg will be converted to 0.8 tons. If there are two people whose working hours are 30 minutes and 1.2 hours respectively, then 30 minutes will be converted to 0.5 hours, and so on. I will not go into details here.

[0023] After preprocessing, all resource material data and resource human data are transferred to the project allocation module.

[0024] It should be noted that preprocessing of resource material data and resource human data, on the one hand, facilitates subsequent data analysis, and on the other hand, reduces the processing pressure of subsequent modules on the collected data and improves system operation efficiency.

[0025] The project allocation module first divides the pending project into projects according to the preset project stages, and separates the projects into project sub-divisions; For example, the preset engineering stages include the design stage, the bidding stage, the construction stage and the acceptance stage, and each preset engineering stage is divided into independent engineering sub-parts.

[0026] The project allocation module processes and allocates resource material data and resource human data to the engineering sub-department. The specific steps are as follows: For resource and material data, access the project database to obtain the material type labels and material quantities required by each project sub-department, and allocate the total material volume of the project to be processed according to the material quantities required by each project sub-department; When allocating the total number of personnel for the projects to be processed, call the personnel deployment log to obtain the working dates of the personnel for different projects to be processed; It needs to be explained that the working dates of personnel for different pending projects are different. For example, the first two engineering sub-sections of the pending projects are designing architectural drawings and building construction. Drawing designers and construction members are the two types of executors of the pending projects, and the order of their working dates is: drawing designers first and construction members later.

[0027] Match the working dates of the personnel of the project to be processed with the preset execution dates of each engineering sub-department, mark the personnel whose working dates are within the preset execution date of the same engineering sub-department, and then sort the working hours of the personnel with the same mark from large to small, and assign the personnel with the same mark as the execution personnel to the same engineering sub-department in the sorted order, and set a control mechanism. In the control mechanism, the working hours of the personnel are accumulated in the sorted order. When the last person with the same mark is added to the corresponding engineering sub-department in the sorted order, the accumulated working hours of the personnel with the same mark exceed the preset execution date interval of the corresponding engineering sub-department, then execute the skip command for the current person, and repeat the operation until the accumulated working hours of the current person are lower than the preset execution date interval of the corresponding engineering sub-department, and the last skipped person is used as the last execution person of the corresponding engineering sub-department.

[0028] For example, the preset execution date interval of the engineering sub-department is 60 days. There are 6 personnel with the same mark, and their working hours are 30 days, 15 days, 10 days, 8 days, 6 days and 4 days respectively. Then, the personnel with working hours of 30 days, 15 days and 10 days are first added to the execution personnel, and the working hours of the execution personnel are accumulated. The accumulated result is 55 days. According to the sorting order, the skip operation is performed when the working time of the personnel is 8 days, the skip operation is performed when the working time of the personnel is 6 days, and the skip command is stopped when the working time of the personnel is 4 days, and the personnel with a working time of 6 days is used as the last execution personnel of the corresponding engineering sub-department.

[0029] According to the above steps, the executive personnel of each engineering sub-department are screened out and the executive personnel allocation list is generated in random order.

[0030] The processing and allocation results are the required material type labels, required material quantities and executor allocation lists allocated to each engineering sub-division. When the processing and allocation process is completed, a feedback signal is automatically generated and sent to the data acquisition module.

[0031] It should be noted that the project database is a database for storing, managing and analyzing information related to construction projects, which includes the material quantity of each project sub-unit. The personnel deployment log is a document used to record and manage the adjustment of personnel allocation in the project, including the working dates of personnel participating in the pending project. The personnel working dates are the time period in which the personnel can participate in the project. The execution dates of the project sub-units are the reserved dates for different stages in the pending project. The time period in which the personnel can participate in the project and the reserved dates for different stages in the pending project are not unique. For example, the time period in which personnel A can participate in the project is between May and June, and the execution date of Phase A in the pending project is from May to July, etc., which will not be elaborated here.

[0032] After receiving the feedback signal from the project allocation module, the data acquisition module collects the supply chain information of each engineering sub-unit in the project to be processed and the meteorological information and transmits it to the status simulation module; Supply chain information refers to supply change information issued by the material provider, including the label of the changed material type and the supply delay time or material supply advance time of each changed material type. Weather information refers to the weather status of the entire process of the project to be processed and the date of occurrence of each weather status. The status simulation module uses supply chain information and meteorological information to simulate the execution deadlines of each project sub-unit. The specific steps are as follows: Abnormal marking: Match the variable material type tags in the supply chain information with the material type tags in each engineering sub-department. If the material type tags in the engineering sub-department include variable material type tags, the corresponding engineering sub-department will be marked as abnormal in the first category. The abnormal meteorological status will be screened out through the meteorological classification table of the pending project, and the occurrence date of the abnormal meteorological status will be matched and locked with the execution date of each engineering sub-department. When matching and locking, the occurrence date of the abnormal meteorological status will be compared with the execution date of each engineering sub-department. If the occurrence date is within the execution date of the engineering sub-department, the abnormal meteorological status will be matched and locked with the corresponding engineering sub-department, and the matched and locked engineering sub-department will be marked as abnormal in the second category. For example, if the execution date of the construction phase is from March 24 to March 30, and the abnormal meteorological conditions occur from March 25 to March 27, the engineering sub-section corresponding to the construction phase will be marked as a Class II abnormality.

[0033] Abnormality assessment: When the engineering sub-department has two types of abnormality marks, it is assessed as a severe abnormality; when the engineering sub-department has a single type of abnormality mark, it is assessed as a mild abnormality; Exception handling: Different exception handling methods are selected according to the exception assessment results of each engineering sub-department to obtain the simulation allocation results.

[0034] It should be noted that the meteorological classification table is a document that records and classifies different meteorological conditions and their impact on engineering projects. After quantifying the impact of various meteorological conditions on historical engineering projects through historical data, various meteorological conditions are marked and abnormal meteorological conditions are screened out. Since the meteorological classification table is an existing technology and can be directly called, it will not be analyzed too much here.

[0035] If the engineering sub-section performs simulation allocation without performing an exception mark, no efficiency improvement signal is generated and the simulation allocation result of the corresponding engineering sub-section is set as the execution time of the corresponding engineering sub-section.

[0036] The specific steps for exception handling in the state simulation module are as follows: Identify abnormal signs: Scan each engineering sub-division for abnormal signs and obtain abnormal assessment results for each engineering sub-division; Select the exception handling method: When the abnormality assessment result of the engineering sub-department is identified as a mild abnormality and the abnormality mark is a Class I abnormality mark, execute exception handling method 1; when the abnormality assessment result of the engineering sub-department is identified as a mild abnormality and the abnormality mark is a Class II abnormality mark, execute exception handling method 2; when the abnormality assessment result of the engineering sub-department is identified as a severe abnormality, execute exception handling method 3.

[0037] Exception handling method 1: If the supply chain information of the engineering sub-department is the material supply delay time, the simulation allocation result of the corresponding engineering sub-department is the sum of the execution time of the corresponding engineering sub-department and the material delay time; if the supply chain information is the material supply advance time, the simulation allocation result of the corresponding engineering sub-department is the execution time of the corresponding engineering sub-department; Abnormal processing method 2: Take the time interval occupied by the occurrence date of abnormal meteorological conditions as the adjustment time basis, set the time division ratio to divide the adjustment time basis into small unit time, and set the simulation allocation results of the project sub-parts to the cumulative result of the execution time of the corresponding project sub-parts and different multiples of small unit time; For example, if the time base is adjusted to 5 days, the time split ratio is set to 1 / 5, and the execution time of the project sub-unit is 5 days, the simulation allocation results are 6 days, 7 days, 8 days, 9 days and 10 days.

[0038] Exception handling method 3: first execute exception handling method 1 and exception handling method 2, use the multiple simulation allocation results obtained in exception handling method 2 as the first input, use the simulation allocation results obtained in exception handling method 1 as the second input, and sum the multiple first inputs with the second inputs to obtain multiple simulation allocation results.

[0039] For example, the first input is 6 days, 7 days, 8 days, 9 days and 10 days, and the second input is 5 days, then the simulated allocation results are 11 days, 12 days, 13 days, 14 days and 15 days respectively.

[0040] It should be noted that the time division ratio is not unique and is set by professionals in the field according to actual conditions, so no further analysis will be made here.

[0041] The state simulation module performs exception processing after simulation allocation to obtain the simulation allocation result and sends it to the resource allocation module. The resource allocation module performs real-time detection on each engineering sub-department, formulates the execution conditions of the engineering sub-department according to the detection results, and generates different efficiency improvement signals. The specific steps are as follows: The processing completion time of the engineering sub-section of the project to be processed is recorded. When the engineering sub-section executes exception handling method 1 and the processing completion time of the engineering sub-section is lower than the simulation allocation result, a type of efficiency improvement signal is generated; when the engineering sub-section executes exception handling method 2 or executes exception handling method 3 and the processing completion time of the engineering sub-section is lower than the maximum value of the simulation allocation result, the simulation allocation results are sorted from small to large according to the numerical value, and the simulation allocation results are traversed in turn. When the simulation allocation result exceeds the processing completion time of the engineering sub-section, the traversal is stopped, the current simulation allocation result is marked as the efficiency improvement time and a type II efficiency improvement signal is generated; otherwise, no efficiency improvement signal is generated.

[0042] The resource allocation module transmits the generated efficiency improvement signal to the state module. After receiving the efficiency improvement signal, the state simulation module changes the simulation allocation result through the efficiency improvement mechanism. The specific steps are as follows: When the efficiency improvement signal is a type I efficiency improvement signal, the simulation allocation result of the current engineering sub-section is changed to the processing completion time of the engineering sub-section; when the efficiency improvement signal is a type II efficiency improvement signal, the simulation allocation result of the current engineering sub-section is changed to the efficiency improvement time.

[0043] When the resource allocation module performs real-time detection on each engineering sub-section, if the current engineering sub-section has no abnormal mark, the execution time of the corresponding engineering sub-section will be used as the execution deadline; if the current engineering sub-section has abnormal mark 1, it will determine whether to formulate an efficiency improvement signal based on the execution conditions of the engineering sub-section. If no efficiency improvement signal is formulated, the simulation allocation result of the corresponding engineering sub-section will be used as the execution deadline; if an efficiency improvement signal is formulated, the simulation allocation result after the efficiency improvement mechanism will be used as the execution deadline; if the current project has abnormal mark 2 or 3, it will determine whether to formulate an efficiency improvement signal based on the execution conditions of the engineering sub-section. If no efficiency improvement signal is formulated, the maximum value of the simulation allocation result of the corresponding engineering sub-section will be used as the execution deadline; if an efficiency improvement signal is formulated, the simulation allocation result after the efficiency improvement mechanism will be used as the execution deadline.

[0044] It should be noted that by real-time detection of abnormal situations in the engineering sub-departments of the project to be processed, the execution period is adjusted, and the efficiency improvement mechanism is used to increase the fault tolerance and coordination of each engineering sub-department, the efficiency of project execution is improved while also screening the project executors to save human resources.

[0045] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0046] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application of the technical solution and the invention constraints. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0047] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0048] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0049] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A construction project progress optimization management system, characterized in that: It includes data collection module, project allocation module, status simulation module and resource allocation module; The data acquisition module is used to collect resource material data and resource human data, and send them to the project allocation module after pre-processing. After receiving the feedback signal, it collects the supply chain information and meteorological information of each engineering sub-unit in the project to be processed and transmits them to the state simulation module; The project allocation module is used to divide the project to be processed into multiple project sub-divisions, process and allocate resource material data and resource human data to the project sub-divisions, set a feedback signal according to the processing and allocation results, and transmit the feedback signal back to the data acquisition module; The status simulation module uses supply chain information and meteorological information to simulate the execution deadlines of each engineering sub-unit, and sends the simulation allocation results to the resource allocation module. After receiving the efficiency improvement signal, the simulation allocation results are changed through the efficiency improvement mechanism and sent back to the resource allocation module; The resource allocation module is used to perform real-time detection on each engineering sub-department, formulate execution conditions for the engineering sub-department, compare the detection results with the execution conditions of the engineering sub-department to generate different efficiency improvement signals, and send the formulated efficiency improvement signals to the status simulation module to allocate deadlines for the engineering sub-department based on the simulation allocation results.

2. A construction project progress optimization management system according to claim 1, characterized in that: The resource material data in the data collection module is the total amount of materials involved in the project to be processed, and the resource human data is the total number of personnel involved in the project to be processed and the working hours of each personnel; The preprocessing of resource material data and resource human data is to unify different measurement units of the same type of data.

3. A construction project progress optimization management system according to claim 2, characterized in that: The project allocation module first divides the pending project into projects according to the preset project stages, and separates the projects into project sub-divisions; The project allocation module processes and allocates resource material data and resource human data to the engineering sub-department. The specific steps are as follows: When processing resource and material data, access the project database to obtain the material type labels and material quantities required for each project sub-department; then allocate the total amount of materials for the project to be processed according to the material quantities required for each project sub-department. When allocating the total number of personnel for the project to be processed, call the personnel deployment log to obtain the working dates of the personnel for different projects to be processed.

4. A construction project progress optimization management system according to claim 1, characterized in that: Match the working dates of the personnel of the to-be-processed project with the preset execution dates of each project sub-department, mark the personnel within the same execution date, sort the working hours of these personnel with the same mark from largest to smallest, and assign them to the same project sub-department in the sorted order, set a control mechanism, accumulate the working hours of the personnel in the sorted order, and when the accumulated working hours of the last personnel with the same mark exceed the preset execution date interval of the corresponding project sub-department, execute the skip command, and repeat the operation until the accumulated working hours of the current personnel are lower than the preset interval, and the last skipped personnel will be used as the last execution personnel of the project sub-department; According to the above steps, the executive personnel of each engineering sub-department are screened and the executive personnel allocation list is generated in random order.

5. A construction project progress optimization management system according to claim 4, characterized in that: The required material type labels, required material quantities and executor allocation lists allocated to each engineering sub-division are the processing allocation results. When the processing allocation process is completed, a feedback signal is automatically generated and sent to the data acquisition module.

6. A construction project progress optimization management system according to claim 5, characterized in that: Supply chain information includes supply change information issued by the material supply source, including the labels of the changed material types and the supply delay or advance time of each changed type of material. Meteorological information includes the meteorological conditions of the entire process of the project to be processed and the occurrence date of each meteorological condition.

7. A construction project progress optimization management system according to claim 6, characterized in that: The status simulation module simulates and allocates the execution deadlines of each engineering sub-unit through supply chain information and meteorological information. The specific steps are as follows: Exception marking: Match the changed material type labels in the supply chain information with the material type labels of each engineering sub-department; If the engineering sub-section contains a variable material type tag, it will be marked as an exception; Screen abnormal meteorological conditions through the meteorological classification table and compare their occurrence dates with the execution dates of the engineering sub-units; If the occurrence date of the abnormal meteorological state is within the execution date, the state will be matched and locked with the corresponding engineering sub-section, and a Class II abnormality mark will be performed; Abnormality assessment: When the engineering sub-department has two types of abnormality marks, it is assessed as a severe abnormality; when the engineering sub-department has a single type of abnormality mark, it is assessed as a mild abnormality; Exception handling: Select different exception handling methods based on the exception assessment results of each engineering sub-department to obtain the simulation allocation results; If the engineering sub-section performs simulation allocation without performing an exception mark, no efficiency improvement signal is generated and the simulation allocation result of the corresponding engineering sub-section is set as the execution time of the corresponding engineering sub-section.

8. A construction project progress optimization management system according to claim 7, characterized in that: The specific steps for exception handling in the state simulation module are as follows: Identify abnormal markers: Scan the abnormal markers of each engineering sub-division and obtain abnormal assessment results; Select the exception handling method: If the abnormality assessment result is a mild abnormality and is marked as a Class I abnormality, execute abnormality handling method 1; if it is a mild abnormality and is marked as a Class II abnormality, execute abnormality handling method 2; if the abnormality assessment result is a severe abnormality, execute abnormality handling method 3; Exception handling method 1: If the supply chain information is the material supply delay time, the simulation allocation result is the sum of the execution time and the material delay time. If the supply chain information is the material supply advance time, the simulation allocation result is the execution time. Abnormal processing method 2: Take the time interval occupied by the occurrence date of abnormal meteorological conditions as the adjustment time basis, set the time division ratio, and the simulation allocation result is the cumulative result of the execution time and different multiples of small unit time; Exception handling method 3: first execute exception handling method 1 and method 2, use the multiple simulation allocation results of method 2 as the first input, the result of method 1 as the second input, and sum the multiple first inputs and the second inputs to obtain multiple simulation allocation results.

9. A construction project progress optimization management system according to claim 8, characterized in that: Record the completion time of the engineering sub-sections of the project to be processed. The specific steps are as follows: When the engineering sub-department executes exception handling method 1 and the processing completion time is lower than the simulation allocation result, a type of efficiency improvement signal is generated; When the engineering sub-department executes exception handling method 2 or method 3 and the processing completion time is lower than the maximum value of the simulation allocation result: sort the simulation allocation results from small to large values; Traverse the simulation allocation results until the first result that exceeds the processing completion time is found, mark the result as the efficiency improvement time, and generate a second-class efficiency improvement signal; otherwise, no efficiency improvement signal is generated.

10. A construction project progress optimization management system according to claim 9, characterized in that: The resource allocation module transmits the generated efficiency improvement signal to the state simulation module. The specific steps are as follows: Efficiency improvement signal processing: If the efficiency improvement signal is of type I, the simulation allocation result of the current engineering sub-unit is changed to the processing completion time; if the efficiency improvement signal is of type II, the simulation allocation result is changed to the efficiency improvement time; When the resource allocation module performs real-time detection on each engineering sub-section, if there is no abnormal mark on the current engineering sub-section, its execution time is used as the execution deadline; If an abnormal flag 1 appears, determine whether to formulate an efficiency improvement signal based on the execution conditions: if not formulated, the simulated allocation result will be used as the execution deadline; if formulated, the simulated allocation result after the efficiency improvement mechanism is used as the execution deadline; If the current project has abnormal mark 2 or 3, the execution conditions will be used to determine whether to formulate an efficiency improvement signal: if not formulated, the maximum value of the simulated allocation result will be used as the execution deadline; if formulated, the simulated allocation result after the efficiency improvement mechanism will be used as the execution deadline.

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