Intelligent management system for constructional engineering

Abstract

The invention relates to the technical field of constructional engineering, and discloses an intelligent management system for constructional engineering, which comprises a data acquisition unit, a data preprocessing unit, a progress analysis unit, a quality analysis unit, a safety analysis unit, a resource analysis unit and a result display unit. According to the invention, in project management, the progress analysis unit accurately controls the construction progress through key path analysis, progress deviation analysis and overall construction period influence evaluation, and ensures that a project is completed on time; the quality analysis unit starts with building materials and construction processes, monitors quality in real time, and effectively avoids reworking caused by quality problems according to comparison between indexes and a standard range; the safety analysis unit carries out safety analysis from the three aspects of environment, personnel and equipment, and safety accidents can be remarkably reduced according to comparison between various data and safety thresholds; and the resource analysis unit reasonably deploys human resources and reasonably arranges personnel according to a comparison result of demands and the number of people on site, so that the construction efficiency is improved.

Description

Technical Field

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

[0002] In the field of construction engineering, with the continuous expansion of project scale and increasing complexity, traditional management methods are facing huge challenges.

[0003] On the one hand, managing construction project progress has become significantly more difficult. In complex projects, construction activities are numerous and interconnected. Traditional progress management methods often struggle to accurately analyze the sequence and dependencies between activities, making it impossible to precisely identify the critical path. This makes it difficult for managers to promptly detect progress deviations and lacks a scientific method to assess their impact on the overall project schedule. This often leads to delays that cannot be effectively adjusted. On the other hand, ensuring construction quality is a core issue in construction projects. Building materials are diverse, each with multiple quality indicators. Traditional quality inspection methods, which rely on random sampling or periodic inspections, make it difficult to conduct comprehensive, real-time quality analysis of each batch of materials. Safety management at the construction site is also crucial. Construction site environments are complex and volatile, and environmental factors such as temperature, humidity, and dust concentration can exceed safe limits, impacting the health and safety of construction workers. The proper allocation of human resources is also a key issue in construction project management. Different construction tasks require different types of workers. In practice, due to the lack of accurate analysis methods, managers struggle to determine the number of workers required for each task, which can easily lead to overstaffing or understaffing.

[0004] To sum up, the existing construction project management methods urgently need an intelligent management system that can comprehensively, real-time and accurately analyze construction progress, quality, safety and resources, and effectively process engineering data, so as to improve the efficiency and quality of construction project management and ensure the smooth implementation of the project. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent management system for construction projects, which solves the technical problems raised in the background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent management system for construction projects, comprising: A data acquisition unit for collecting various types of engineering data from a construction site; The progress analysis unit is used to analyze the construction progress of the construction project based on the engineering data collected by the data collection unit, thereby determining the corresponding progress deviation and evaluating whether the current construction progress affects the overall construction period of the construction project; The quality analysis unit is used to monitor and analyze the construction quality of the construction project in real time based on the engineering data collected by the data acquisition unit, and to determine whether the quality of the building materials and construction process meets the standards based on the real-time monitoring and analysis; The safety analysis unit is used to conduct safety analysis at the construction site based on the engineering data collected by the data acquisition unit, and to determine whether there are any safety hazards in the environment, personnel and equipment at the construction site through safety analysis; The resource analysis unit is used to analyze and deploy human resources in the construction project based on the project data collected by the data collection unit, and to obtain the total number of construction personnel required for each type of work for each construction task; The result display unit is used to display the analysis results obtained by the progress analysis unit, quality analysis unit, safety analysis unit, and resource analysis unit to the construction project management personnel.

[0007] As a further solution of the present invention: engineering data includes construction personnel information including attendance and qualifications, construction equipment information including operating status, building material information including entry time, quantity, and quality inspection report, construction progress information including planned completion time and actual completion time of each stage, and safety monitoring data including temperature, humidity, dust concentration, and records of personnel entering dangerous areas at the construction site.

[0008] As a further solution of the present invention: the analysis method of the progress analysis unit is as follows: Step D1. Critical Path Analysis Step D1.1. Build an activity network for the construction project and decompose the construction project into multiple activities; Among them, except that the first activity does not contain a predecessor activity and the last activity does not contain a successor activity, each activity contains its corresponding duration, predecessor activity and successor activity; Step D1.2, then mark the duration of each activity as D i , and mark its corresponding pre-activity set and post-activity set as P i and S i ; Where i = 1, 2, ... n, and n represents the number of all activities, and P i The value of i in is not 1, and P i The value of i in is not n; Step D1.3. Calculate the earliest start time ES for each activity iand the earliest completion time EF i ; Step D1.4. Calculate the latest start time LS for each activity i and the latest completion time LF i ; Step D1.5, through TF i =LS i -ES i , calculate the total time difference TF of the paths corresponding to each activity i ; Then TF i =0, the corresponding activity i is determined to be the critical path; Step D2: Progress Deviation Analysis Step D2.1. Extract the planned value, activity budget, and the proportion of completed workload to the total workload of each activity, and mark them as PV in turn. i 、B i and G i ; Step D2.2, through EV i =G i ×B i , calculate the earned value EV of activity i i , earned value represents the budgeted value of work performed; Step D2.3, through SV i =EV i -PV i , calculate the progress deviation of activity i; Step D2.4, via SPI i =EV i / PV i , calculate the progress performance index SPI of activity i i ; Step D3: Overall construction period impact assessment The progress deviation SV corresponding to activity i on the critical path i ; Extract the set of subsequent activities S corresponding to activity i on the critical path i , and calculate the post-activity set S through Step D1.5 i The total floating time TF of the corresponding path j , where j∈S i ; like , it is determined that the overall construction period is affected by the current construction progress; Then passed , calculate the number of days YXT affected by the current construction progress.

[0009] As a further solution of the present invention: the specific method in Step D1.3 is as follows:

[0010] Among them, when i has no preceding activity, ES i =0.

[0011] As a further solution of the present invention: the specific method of Step D1.4 is as follows: Starting from the last activity of the project: LF n =EF n; Where n is the last activity; .

[0012] As a further solution of the present invention: in Step D2.4: When SPI i When <1, it means that the progress of activity i is lagging behind; When SPI i When it is >1, it means the progress is ahead of schedule; When SPI i =1, indicating normal progress.

[0013] As a further solution of the present invention: the analysis method of the mass analysis unit is as follows: Step 1: Material quality analysis For each batch of building materials, analyze the various indicators in its quality inspection report; The specific method is as follows: Step L1.1, extract multiple quality indicators of building materials and mark them as U1, U2, ... Ur in sequence, and extract the preset standard range corresponding to each quality indicator [U1 min ,U1 max ]、[U2 min ,U1 max ]、……[Ur min ,Ur max ]; Step L1.2: Within the standard range of multiple quality indicators, extract the quality indicators that are within the standard range and count their number R: Statistics UK min ≤Uk≤Uk max When , the number of corresponding quality indicators, where k = 1, 2, ... r; Step L1.3, then compare R with r: Step L1.3.1. If R = r, it means that the construction materials of this batch are qualified; Step L1.3.2. If R < r, calculate the quality failure rate BHL of the batch of building materials using BHL = (rR) / r, and then compare the quality failure rate BHL with the corresponding preset failure threshold BHY; Step L1.3.2.1. If BHL ≤ BHY, it means that the quality of the building materials in this batch is qualified; Step L1.3.2.2. If BHL>BHY, it means that the quality of the construction materials in this batch is unqualified; Step 2: Construction process quality analysis Assess construction process quality through sensor and field monitoring data; The specific method is as follows: Monitor and collect the slump and pouring temperature of concrete, and mark them as TL and JW respectively; Then extract the corresponding preset slump standard range and pouring temperature standard range, and mark them as [TL min ,TL max ] and [JW min ,JW max ]; If TL min ≤TL≤TL max And JW min ≤JW≤JW max When the slump and pouring temperature of the construction process meet the quality requirements; Otherwise, it is judged that at least one of the slump and pouring temperature aspects of the construction process does not meet the quality requirements; As a further solution of the present invention: the analysis method of the security analysis unit is as follows: Step E1: Environmental Safety Analysis Conduct environmental safety analysis based on the temperature, humidity, and dust concentration of the construction site; Step E1.1, extract the corresponding preset temperature safety range [WA min ,WA max ]、Humidity safety range [SA min ,SA max ] and dust concentration safety threshold FCY; Step E1.2: Monitor and collect the actual temperature, humidity, and dust concentration at the construction site, and mark them as W1, S1, and FC1, respectively. When WA min ≤W1≤WA max 、SA min ≤S1≤SAmax When FC1≤FCY, it indicates that the environment at the construction site is safe; otherwise, when at least one of the comparison formulas does not hold, it is determined that there are environmental safety hazards at the construction site; Step E2: Personnel Safety Analysis Monitor the location of relevant personnel through personnel positioning sensors to determine whether relevant personnel have entered the pre-defined dangerous area; The specific method is as follows: Define the set of dangerous areas as D; The positions of the relevant personnel are marked as Pm, where m is a preset and unique personnel number corresponding to each person at the construction site; When Pm∈D, it is determined that the relevant personnel are in a dangerous state, and a corresponding warning alarm is issued in the corresponding dangerous area and for the personnel number. Otherwise, no alarm is issued; Step E3: Equipment Security Analysis Determine whether the equipment is operating safely based on its operating parameters; Step E3.1. Select a construction equipment at the construction site; Then, the same type of operating parameters of the running equipment at multiple time nodes within the specified period are collected and extracted, and marked as BX1, BX2, ..., BXc, where c represents the number of multiple time nodes within the specified period; Step E3.2, then calculate the average value among BX1, BX2, ..., BXc and mark it as BXP; Step E3.3, then extract the preset operation threshold interval corresponding to the type [BX min ,BX max ]; When BX min ≤BXP≤BX max When , it indicates that the operating status of the type of the running equipment is normal; otherwise, it is determined that there is a safety hazard in the operation of the running equipment.

[0014] As a further solution of the present invention: the analysis method of the resource analysis unit is as follows: Select a construction task and the type of work required; Extract the total workload of the construction task and the number of construction workers of this type required per unit workload, and mark them as ZRL and DRG respectively; Then, the total number of construction workers required for this type of work for this construction task is calculated through XQL=ZRL×DRG; Among them, by comparing the total number of construction workers required for the corresponding construction task and the actual number of people on site, it is determined whether the corresponding construction task requires personnel deployment; If the actual number of people on site is less than the total number required, it means that the construction task needs to be supplemented with construction workers of the corresponding type; If the actual number of people on site is greater than the total number required, it means that the corresponding number of construction workers of the corresponding type of work can be deployed from this construction task to other construction tasks.

[0015] As a further solution of the present invention: also include: A data preprocessing unit, used for preprocessing the collected engineering data; The preprocessing method is as follows: Step 1. Data cleaning Step 1.1: For a construction worker's attendance record, if there are multiple clock-in records within the same time period, only one clock-in record will be retained.

[0016] Step 1.2: For records with missing values, process them according to their data type and the corresponding preset rules; Step 1.3: Standardize and organize the data of different units; Step 1.4: Integrate data from different data sources into a data warehouse; As a further solution of the present invention: the specific method in Step 1.2 is as follows: Step 1.2.1. For numerical data, use the mean filling method to fill missing values; Missing values are filled in as follows: Extract multiple parameter values of a data type from the corresponding numerical data, then calculate the average value of the multiple parameter values corresponding to the data type, and use the average value as the filling value to fill in the corresponding position of the missing value; Step 1.2.2: For non-numeric data, if the corresponding data information is missing, the corresponding construction personnel information will be marked as abnormal, and then verified and filled in by relevant management personnel.

[0017] As a further solution of the present invention: in Step 1.3, the unified standardization is as follows: Standardize the weight unit of construction materials into kilograms; Standardize the length unit of construction materials into meters; Normalize temperature data to Celsius; Among them, when the temperature unit collected by the temperature sensor is Fahrenheit, Convert to Celsius; Where C is Celsius and F is Fahrenheit; For progress data, convert both planned completion time and actual completion time into days based on the project start time; Extract the project start time node as T0, obtain the planned completion time node of each task, and mark it as JT v , and its actual completion time node, and mark it as STv; Where v = 1, 2, ..., e, e represents the number of tasks; Then through JT0 v =JT v -T0, calculate the standardized planned completion days, and through ST0 v =ST v -T0, calculate the standardized actual completion days.

[0018] As a further solution of the present invention: the specific method of Step 1.4 is as follows: Establish a data mapping table, which is used to record the relationship between data in different data sources; Extract all data fields from different data sources and then select unique and stable fields as association keys; The data mapping table is presented in a table format, which contains the source data source name, source data field, target data source name, target data field and the corresponding information of the association key; According to the data mapping table, data in different formats are associated.

[0019] Beneficial effects of the present invention: Precise Progress Control: The progress analysis unit utilizes a series of scientific methods, including critical path analysis, schedule deviation analysis, and overall construction period impact assessment, to accurately analyze the construction project progress. It not only pinpoints activities on the critical path but also calculates each activity's schedule deviation and performance index in detail. This allows managers to predict in advance whether the current construction progress will impact the overall construction period, accurately determining the number of days affected, allowing them to adjust construction schedules promptly to ensure on-time project completion.

[0020] Real-time quality monitoring: The quality analysis unit monitors and analyzes construction quality in real time, focusing on both building materials and construction processes. For building materials, the unit compares multiple indicators in the quality inspection report with pre-set standard ranges to accurately determine whether the materials meet quality standards. For construction processes, sensors collect key data such as concrete slump and pouring temperature, and compare them with standard ranges to determine in real time whether the construction process meets quality requirements in these key areas. This effectively avoids rework due to quality issues and ensures project quality.

[0021] Intelligent Safety Management: The safety analysis unit conducts safety analyses across three dimensions: environment, personnel, and equipment. Regarding environmental safety, it compares construction site data such as temperature, humidity, and dust concentration with safety thresholds to promptly identify potential safety hazards. Regarding personnel safety, it utilizes personnel positioning sensors to monitor personnel positions in real time and quickly issues alerts if they enter a hazardous area. Regarding equipment safety, it compares the average value of equipment operating parameters with pre-set operating thresholds to determine whether the equipment is operating safely. This comprehensively ensures the safety of personnel and equipment at the construction site, minimizing the occurrence of safety incidents.

[0022] Rationalized Resource Allocation: The resource analysis unit analyzes and allocates human resources within construction projects based on project data. By calculating the total number of construction workers required for each task and comparing it with the actual number of workers on site, it accurately determines whether personnel adjustments are necessary. This ensures that the appropriate number of workers is available for each task, avoiding waste or shortage of human resources and improving construction efficiency.

[0023] Data preprocessing optimization: The data preprocessing unit comprehensively cleans and integrates collected engineering data. This data cleaning process removes duplicate punch-in records, addresses missing values, and standardizes data from different units. It also integrates data from various sources into a single data warehouse. This provides a high-quality, standardized data foundation for subsequent analysis, reducing analytical errors caused by data issues.

[0024] Convenient results display: The results display unit intuitively presents the results of the progress, quality, safety, and resource analysis units to construction project managers. Without tedious data processing and analysis, managers can quickly obtain comprehensive and critical project information, enabling them to make scientific and reasonable decisions quickly and improve management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention will be further described below with reference to the accompanying drawings.

[0026] Figure 1 It is a flow chart of an intelligent management system for construction projects according to the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0028] Example 1

[0029] See also Figure 1 As shown, the present invention is a smart management system for construction projects, comprising: A data acquisition unit for collecting various types of engineering data from a construction site; Project data includes, but is not limited to, construction personnel information including attendance and qualifications, construction equipment information including operating status, construction material information including arrival time, quantity, and quality inspection reports, construction progress information including planned completion time and actual completion time for each stage, and safety monitoring data including construction site temperature, humidity, dust concentration, and records of personnel entering hazardous areas; Engineering data is obtained through temperature and humidity sensors, personnel positioning sensors, and equipment status monitoring sensors deployed at the construction site, using barcode scanners to record material information, and combining construction workers' time clocks and management software to input information. A data preprocessing unit, used for preprocessing the collected engineering data; The preprocessing method is as follows: Step 1. Data cleaning Step 1.1: For a construction worker's attendance record, if there are multiple clock-in records within the same time period, only one clock-in record will be retained.

[0030] Step 1.2: For records with missing values, process them according to their data type and the corresponding preset rules; The details are as follows: Step 1.2.1. For numerical data, use the mean filling method to fill missing values; Missing values are filled in as follows: Extract multiple parameter values of a data type from the corresponding numerical data, then calculate the average value of the multiple parameter values corresponding to the data type, and use the average value as the filling value to fill in the corresponding position of the missing value; In this embodiment, the numerical data are such as equipment operating parameters; Step 1.2.2: For non-numeric data, if the corresponding data information is missing, the corresponding construction personnel information will be marked as abnormal, and then verified and filled in by relevant management personnel; In this embodiment, non-numeric data such as construction personnel qualification information; Step 1.3: Standardize and organize the data of different units; The details are as follows: Standardize the weight unit of construction materials into kilograms; Standardize the length unit of construction materials into meters; Normalize temperature data to Celsius; Among them, when the temperature unit collected by the temperature sensor is Fahrenheit, Convert to Celsius; Where C is Celsius and F is Fahrenheit; For progress data, convert both planned completion time and actual completion time into days based on the project start time; Extract the project start time node as T0, obtain the planned completion time node of each task, and mark it as JT v , and its actual completion time node, and mark it as STv; Where v = 1, 2, ..., e, e represents the number of tasks; Then through JT0 v =JT v -T0, calculate the standardized planned completion days, and through ST0 v =ST v -T0, calculate the actual number of days to complete after standardization; Step 1.4: Integrate data from different data sources into a data warehouse; The specific method is as follows: Establish a data mapping table, which is used to record the relationship between data in different data sources; Extract all data fields from different data sources and then select unique and stable fields as association keys; In this embodiment, the association key in the construction personnel information is the personnel number of the construction personnel; the association key in the construction equipment information is the equipment number of the construction equipment; and the association key in the building material information is the material batch number of each building material; The data mapping table is presented in a table format, which contains the source data source name, source data field, target data source name, target data field and the corresponding information of the association key; According to the data mapping table, data in different formats are associated; For example, the attendance data of construction workers is associated with their qualification data through their personnel numbers. In the mapping table between attendance data and personnel qualification data, a row is recorded as follows: Source Data Source: Attendance Management Software; Source data field: personnel number; Target data source: personnel qualification management software; Target data field: personnel number; Associated key: Personnel number.

[0031] This embodiment uses a data acquisition unit and a data preprocessing unit to comprehensively collect various types of engineering data from construction sites and perform effective preprocessing to ensure data accuracy, consistency, and usability. Specifically, this involves cleaning up duplicate punch-in records, properly filling in missing values, unifying data units, and integrating data from different data sources, providing a reliable data foundation for subsequent analysis and management.

[0032] Example 2

[0033] See also Figure 1 As shown, as the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that this embodiment further includes: The progress analysis unit is used to analyze the construction progress of the construction project, determine the corresponding progress deviation, and evaluate the impact of the current construction progress on the overall construction period of the construction project; The specific method is as follows: Step D1. Critical Path Analysis Step D1.1. Build an activity network for the construction project and decompose the construction project into multiple activities; Among them, except that the first activity does not contain a predecessor activity and the last activity does not contain a successor activity, each activity contains its corresponding duration, predecessor activity and successor activity; In this embodiment, if foundation construction is a pre-activity of main construction, a directed graph is used to represent the sequence relationship between activities; Step D1.2, then mark the duration of each activity as D i , and mark its corresponding pre-activity set and post-activity set as P i and S i ; Where i = 1, 2, ... n, and n represents the number of all activities, and P i The value of i in is not 1, and P i The value of i in is not n; Step D1.3. Calculate the earliest start time ES for each activity i and the earliest completion time EF i ; The specific method is as follows:

[0034] Among them, when i has no preceding activity, ES i =0; Step D1.4. Calculate the latest start time LS for each activity i and the latest completion time LF i ; The specific method is as follows: Starting from the last activity of the project: LF n =EF n; Where n is the last activity;

[0035] Step D1.5, through TF i =LS i -ES i , calculate the total time difference TF of the paths corresponding to each activity i ; Then TF i =0, the corresponding activity i is determined to be the critical path; Step D2: Progress Deviation Analysis Step D2.1. Extract the planned value, activity budget, and the proportion of completed workload to the total workload of each activity, and mark them as PV in turn. i 、B i and G i ; Step D2.2, through EV i =G i ×B i , calculate the earned value EV of activity i i , earned value represents the budgeted value of work performed; Step D2.3, through SV i =EV i -PV i , calculate the progress deviation of activity i; Step D2.4, via SPI i =EV i / PV i , calculate the progress performance index SPI of activity i i ; in: When SPI i When <1, it means that the progress of activity i is lagging behind; When SPI i When it is >1, it means the progress is ahead of schedule; When SPI i =1, indicating normal progress; Step D3: Overall construction period impact assessment The progress deviation SV corresponding to activity i on the critical path i ; Extract the set of subsequent activities S corresponding to activity i on the critical pathi And calculate the total floating time TF of the path corresponding to the post-activity set Si through Step D1.5 j , where j∈S i ; like , it is determined that the overall construction period is affected by the current construction progress; Then passed , calculate the number of days YXT affected by the current construction progress.

[0036] The progress analysis unit in this embodiment analyzes the construction progress of a construction project, identifies progress deviations, and assesses the impact of the current construction progress on the overall construction period. Through steps such as critical path analysis, progress deviation analysis, and overall construction period impact assessment, managers can promptly identify progress issues and take appropriate measures to ensure timely completion of the project.

[0037] Example 3

[0038] See also Figure 1 As shown, as the third embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that this embodiment further includes: Quality analysis unit, used to monitor and analyze the construction quality of building projects in real time; Step 1: Material quality analysis For each batch of building materials, analyze the various indicators in its quality inspection report; The specific method is as follows: Step L1.1, extract multiple quality indicators of building materials and mark them as U1, U2, ... Ur in sequence, and extract the preset standard range corresponding to each quality indicator [U1 min ,U1 max ]、[U2 min ,U1 max ]、……[Ur min ,Ur max ]; Step L1.2: Within the standard range of multiple quality indicators, extract the quality indicators that are within the standard range and count their number R: Statistics UK min ≤Uk≤Uk max When , the number of corresponding quality indicators, where k = 1, 2, ... r; Step L1.3, then compare R with r: Step L1.3.1. If R = r, it means that the construction materials of this batch are qualified; Step L1.3.2. If R < r, calculate the quality failure rate BHL of the batch of building materials using BHL = (rR) / r, and then compare the quality failure rate BHL with the corresponding preset failure threshold BHY; Step L1.3.2.1. If BHL ≤ BHY, it means that the quality of the building materials in this batch is qualified; Step L1.3.2.2. If BHL>BHY, it means that the quality of the construction materials in this batch is unqualified; Step 2: Construction process quality analysis Assess construction process quality through sensor and field monitoring data; The specific method is as follows: Monitor and collect the slump and pouring temperature of concrete, and mark them as TL and JW respectively; Then extract the corresponding preset slump standard range and pouring temperature standard range, and mark them as [TL min ,TL max ] and [JW min ,JW max ]; If TL min ≤TL≤TL max And JW min ≤JW≤JW max When the slump and pouring temperature of the construction process meet the quality requirements; Otherwise, it is judged that at least one of the slump and pouring temperature aspects of the construction process does not meet the quality requirements; In this embodiment, the evaluation results of multiple process parameters other than slump and pouring temperature are also comprehensively considered to judge the overall construction process quality; if more than a certain proportion of process parameters do not meet the requirements, it is determined that there is a problem with the construction process quality.

[0039] The quality analysis unit in this embodiment monitors and analyzes the construction quality of a building project in real time. Regarding material quality, it analyzes the quality indicators of each batch of building materials to ensure that the materials are qualified. Regarding construction process quality, it uses sensors and on-site monitoring data to assess process parameters such as concrete slump and pouring temperature. It also uses a combination of multiple process parameters to determine the overall construction process quality and ensure project quality.

[0040] Example 4

[0041] See also Figure 1 As shown, as the fourth embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that this embodiment further includes: Safety analysis unit, used to conduct safety analysis at the construction site; Step E1: Environmental Safety Analysis Conduct environmental safety analysis based on the temperature, humidity, and dust concentration of the construction site; Step E1.1, extract the corresponding preset temperature safety range [WA min ,WA max ]、Humidity safety range [SA min ,SA max ] and dust concentration safety threshold FCY; Step E1.2: Monitor and collect the actual temperature, humidity, and dust concentration at the construction site, and mark them as W1, S1, and FC1, respectively. When WA min ≤W1≤WA max 、SA min ≤S1≤SA max When FC1≤FCY, it indicates that the environment at the construction site is safe; otherwise, when at least one of the comparison formulas does not hold, it is determined that there are environmental safety hazards at the construction site; Step E2: Personnel Safety Analysis Monitor the location of relevant personnel through personnel positioning sensors to determine whether relevant personnel have entered the pre-defined dangerous area; The specific method is as follows: Define the set of dangerous areas as D; The positions of the relevant personnel are marked as Pm, where m is a preset and unique personnel number corresponding to each person at the construction site, and Pm represents the position of the person corresponding to a certain personnel number; When Pm∈D, it is determined that the relevant personnel are in a dangerous state, and a corresponding warning alarm is issued in the corresponding dangerous area and for the personnel number. Otherwise, no alarm is issued; Step E3: Equipment Security Analysis Determine whether the device is operating safely based on the device's operating parameters; in this embodiment, the operating parameters include the device's pressure, speed, and other types; Step E3.1. Select a construction equipment at the construction site; Then, the same type of operating parameters of the running equipment at multiple time nodes within the specified period are collected and extracted, and marked as BX1, BX2, ..., BXc, where c represents the number of multiple time nodes within the specified period; Step E3.2, then calculate the average value among BX1, BX2, ..., BXc and mark it as BXP; Step E3.3, then extract the preset operation threshold interval corresponding to the type [BXmin ,BX max ]; When BX min ≤BXP≤BX max If the device is in normal operation, it indicates that the device is in normal operation; otherwise, it indicates that the device has potential safety hazards. The safety analysis unit in this embodiment performs safety analyses at the construction site, including environmental, personnel, and equipment safety analyses. By monitoring environmental factors such as temperature, humidity, and dust concentration, as well as assessing personnel locations and equipment operating parameters, it promptly identifies safety hazards and takes appropriate measures to ensure construction site safety.

[0042] Example 5

[0043] See also Figure 1 As shown, as the fifth embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that this embodiment further includes: The resource analysis unit is used to analyze and allocate human resources in the construction project and determine the total number of construction workers required for each type of work for each construction task; The specific method is as follows: Select a construction task and the type of work required; Extract the total workload of the construction task and the number of construction workers of this type required per unit workload, and mark them as ZRL and DRG respectively; Then, the total number of construction workers required for this type of work for this construction task is calculated through XQL=ZRL×DRG; For example, if the construction task is wall-building, the number of construction workers required per unit workload is: y masons per cubic meter of wall, and the wall volume is TV. Then, the total number of masons required for the wall-building task, TD, is calculated by TD = TV × y. Among them, by comparing the total number of construction workers required for the corresponding construction task and the actual number of people on site, it is determined whether the corresponding construction task requires personnel deployment; If the actual number of people on site is less than the total number required, it means that the construction task needs to be supplemented with construction workers of the corresponding type; If the actual number of people on site is greater than the total number required, it means that the corresponding number of construction workers of the corresponding type of work can be deployed from this construction task to other construction tasks; The resource analysis unit in this embodiment analyzes and allocates human resources in the construction project, determining the total number of construction workers required for each construction task and each type of work. By comparing the total number of workers required with the actual number of people on site, management personnel can rationally allocate personnel to ensure the smooth progress of construction tasks and improve the efficiency of human resource utilization.

[0044] Example 6

[0045] See also Figure 1 As shown in the figure, as the third embodiment of the present invention, when the present application is specifically implemented, compared with the first, second, third, fourth and fifth embodiments, the technical solution of this embodiment is to combine the solutions of the first, second, third, fourth and fifth embodiments. The difference between the technical solution of this embodiment and the above five embodiments is that this embodiment also includes: The result display unit is used to display the analysis results obtained by the progress analysis unit, quality analysis unit, safety analysis unit, and resource analysis unit to the construction project management personnel; Then the construction project managers can make decisions based on the analysis results; In this embodiment, corresponding decision suggestions are also proposed, as follows: Schedule decision suggestions: If the progress is lagging, based on the results of the progress deviation analysis, it is recommended to take measures such as increasing the number of construction personnel, extending working hours, and adjusting the construction sequence. For example, if the progress deviation of a key activity is large and is caused by insufficient personnel, it is recommended to increase the number of construction personnel for the corresponding type of work; if the progress of a non-critical activity is lagging and there is sufficient float time, the construction sequence can be appropriately adjusted; Quality decision-making suggestions: For problems with substandard material quality, it is recommended to replace the material batch in a timely manner or negotiate with the supplier to resolve the issue; for problems with construction process quality, it is recommended to train the construction personnel or adjust the construction process parameters; Safety decision-making recommendations: To address environmental safety hazards, it is recommended to take measures such as ventilation, cooling, and dust reduction. For personnel and equipment safety issues, personnel should be evacuated in a timely manner, equipment should be stopped, and repairs or adjustments should be carried out. Resource decision recommendations: Based on the results of human and material resource analysis, we propose personnel recruitment, deployment plans, material procurement, and equipment scheduling suggestions to ensure the rational use of resources and the smooth progress of the project.

[0046] The result display unit of this embodiment displays the analysis results of the progress analysis unit, quality analysis unit, safety analysis unit, and resource analysis unit to construction project managers and provides corresponding decision-making suggestions. This helps managers fully understand the project situation and make scientific and reasonable decisions to ensure the smooth progress of the project and the rational use of resources.

[0047] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.

[0048] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A smart management system for construction projects, characterized in that: include: A data acquisition unit for collecting various types of engineering data from a construction site; The progress analysis unit is used to analyze the construction progress of the construction project based on the engineering data collected by the data collection unit, thereby determining the corresponding progress deviation and evaluating whether the current construction progress affects the overall construction period of the construction project; The quality analysis unit is used to monitor and analyze the construction quality of the construction project in real time based on the engineering data collected by the data acquisition unit, and to determine whether the quality of the building materials and construction process meets the standards based on the real-time monitoring and analysis; The safety analysis unit is used to conduct safety analysis at the construction site based on the engineering data collected by the data acquisition unit, and to determine whether there are any safety hazards in the environment, personnel and equipment at the construction site through safety analysis; The resource analysis unit is used to analyze and deploy human resources in the construction project based on the project data collected by the data collection unit, and to obtain the total number of construction personnel required for each type of work for each construction task; The result display unit is used to display the analysis results obtained by the progress analysis unit, quality analysis unit, safety analysis unit, and resource analysis unit to the construction project management personnel.

2. The intelligent management system for construction projects according to claim 1, characterized in that: The progress analysis unit performs analysis in the following manner: Step D1. Critical Path Analysis Step D1.

1. Build an activity network for the construction project and decompose the construction project into multiple activities; Among them, except that the first activity does not contain a predecessor activity and the last activity does not contain a successor activity, each activity contains its corresponding duration, predecessor activity and successor activity; Step D1.2, then mark the duration of each activity as D i , and mark its corresponding pre-activity set and post-activity set as P i and S i ; Where i = 1, 2, ... n, and n represents the number of all activities, and P i The value of i in is not 1, and P i The value of i in is not n; Step D1.

3. Calculate the earliest start time ES for each activity i and the earliest completion time EF i ; Step D1.

4. Calculate the latest start time LS for each activity i and the latest completion time LF i ; Step D1.5, through TF i =LS i -ES i , calculate the total time difference TF of the paths corresponding to each activity i ; Then TF i =0, the corresponding activity i is determined to be the critical path; Step D2: Progress Deviation Analysis Step D2.

1. Extract the planned value, activity budget, and the proportion of completed workload to the total workload of each activity, and mark them as PV in turn. i 、B i and G i ; Step D2.2, through EV i =G i ×B i , calculate the earned value EV of activity i i , earned value represents the budgeted value of work performed; Step D2.3, through SV i =EV i -PV i , calculate the progress deviation of activity i; Step D2.4, via SPI i =EV i / PV i , calculate the progress performance index SPI of activity i i ; Step D3: Overall construction period impact assessment The progress deviation SV corresponding to activity i on the critical path i ; Extract the set of subsequent activities S corresponding to activity i on the critical path i , and calculate the post-activity set S through Step D1.5 i The total floating time TF of the corresponding path j , where j∈S i ; like , it is determined that the overall construction period is affected by the current construction progress; Then passed , calculate the number of days YXT affected by the current construction progress.

3. The intelligent management system for construction projects according to claim 2, characterized in that: Step D1.3 is as follows: ； Among them, when i has no preceding activity, ES i =0; Step D1.4 is as follows: Starting from the last activity of the project: LF n =EF n; Where n is the last activity; Then passed; 。 4. The intelligent management system for construction projects according to claim 1, characterized in that: The analysis method of the mass analysis unit is as follows: Step 1: Material quality analysis For each batch of building materials, analysis is carried out based on the various indicators in its quality inspection report, and whether the building materials are qualified is determined based on the analysis results.

5. The intelligent management system for construction projects according to claim 4, characterized in that: The specific method of Step L1 is as follows: Step L1.1, extract multiple quality indicators of building materials and mark them as U1, U2, ... Ur in sequence, and extract the preset standard range corresponding to each quality indicator [U1 min ,U1 max ]、[U2 min ,U1 max ]、……[Ur min ,Ur max ]; Step L1.2: Within the standard range of multiple quality indicators, extract the quality indicators that are within the standard range and count their number R: Statistics UK min ≤Uk≤Uk max When , the number of corresponding quality indicators, where k = 1, 2, ... r; Step L1.3, then compare R with r: if R = r, it means that the batch of building materials is qualified; Step 2: Construction process quality analysis Evaluate construction process quality through on-site monitoring data.

6. The intelligent management system for construction projects according to claim 5, characterized in that: In Step L1.3, if R < r, the quality failure rate BHL of the batch of building materials is calculated by BHL = (rR) / r, and then the quality failure rate BHL is compared with the corresponding preset failure threshold BHY; Step L1.3.2.

1. If BHL ≤ BHY, it means that the quality of the building materials in this batch is qualified; Step L1.3.2.

2. If BHL>BHY, it means that the quality of this batch of building materials is unqualified.

7. The intelligent management system for construction projects according to claim 4, characterized in that: The method in StepL2 is as follows: Monitor and collect the slump and pouring temperature of concrete, and mark them as TL and JW respectively; Then extract the corresponding preset slump standard range and pouring temperature standard range, and mark them as [TL min ,TL max ] and [JW min ,JW max ]; If TL min ≤TL≤TL max And JW min ≤JW≤JW max If yes, the construction process is judged to meet the quality requirements in terms of slump and pouring temperature; otherwise, the construction process is judged to not meet the quality requirements in terms of slump and pouring temperature.

8. The intelligent management system for construction projects according to claim 1, characterized in that: The security analysis unit performs the following analysis: Step E1: Conduct an environmental safety analysis based on the temperature, humidity, and dust concentration of the construction site; Step E1.1, extract the corresponding preset temperature safety range [WA min ,WA max ]、Humidity safety range [SA min ,SA max ] and dust concentration safety threshold FCY; Step E1.2: Monitor and collect the actual temperature, humidity, and dust concentration at the construction site, and mark them as W1, S1, and FC1, respectively. When WA min ≤W1≤WA max 、SA min ≤S1≤SA max When FC1≤FCY, it indicates that the environment at the construction site is safe; otherwise, when at least one of the comparison formulas does not hold, it is determined that there are environmental safety hazards at the construction site; Step E2: Monitor the location of relevant personnel through personnel positioning sensors to determine whether the relevant personnel have entered the pre-defined dangerous area; The specific method is as follows: Define the set of dangerous areas as D; The positions of the relevant personnel are marked as Pm, where m is a preset and unique personnel number corresponding to each person at the construction site; When Pm∈D, it is determined that the relevant personnel are in a dangerous state and an alarm is issued; otherwise, no alarm is issued; Step E3: Determine whether the equipment is operating safely based on its operating parameters; Step E3.

1. Select a construction equipment at the construction site; Then, the same type of operating parameters of the operating equipment at multiple time nodes within a specified period are collected and extracted; Step E3.2, then calculate the average value of the same type of operating parameters at multiple time nodes and mark it as BXP; Step E3.3, then extract the preset operation threshold interval corresponding to the type [BX min ,BX max ]; When BX min ≤BXP≤BX max When , it indicates that the operating status of the type of the running equipment is normal; otherwise, it is determined that there is a safety hazard in the operation of the running equipment.

9. The intelligent management system for construction projects according to claim 1, characterized in that: The analysis method of the resource analysis unit is as follows: Select a construction task and the type of work required; Extract the total workload of the construction task and the number of construction workers of this type required per unit workload, and mark them as ZRL and DRG respectively; Then, the total number of construction workers required for this type of work for this construction task is calculated through XQL=ZRL×DRG; Among them, by comparing the total number of construction workers required for the corresponding construction task and the actual number of people on site, it is determined whether the corresponding construction task requires personnel deployment; If the actual number of people on site is less than the total number required, it means that the construction task needs to be supplemented with construction workers of the corresponding type; otherwise, the opposite is true.

10. The intelligent management system for construction projects according to claim 1, characterized in that: Project data includes construction personnel information including attendance and qualifications, construction equipment information including operating status, construction material information including entry time, quantity, and quality inspection reports, construction progress information including planned completion time and actual completion time of each stage, and safety monitoring data including temperature, humidity, dust concentration, and records of personnel entering dangerous areas at the construction site.

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