Intelligent construction progress monitoring method and system for EPC project

Abstract

The invention discloses an EPC project intelligent construction progress monitoring method and system, and the method comprises the steps: dividing an engineering plan into a plurality of single projects, building a plurality of single project databases, and enabling each single project database to correspondingly store the information of different single projects; the method comprises the following steps: acquiring historical data information of calibrated single projects through a data acquisition system, and then acquiring standard operation time of each single project by utilizing the historical data information; according to completed physical engineering quantity data of the currently calibrated single engineering, calling standard operation time of the corresponding single engineering from each single engineering database to obtain actual total construction time, and according to the actual total construction time of the currently calibrated single engineering and the estimated total construction time of the remaining single engineering, calculating the actual total construction time of the current calibrated single engineering and the estimated total construction time of the remaining single engineering. And calculating and obtaining the completion rate of the single engineering plan. The efficiency and accuracy of construction management can be improved.

Description

Technical Field

[0001] The present invention relates to the field of engineering project management, and in particular to an EPC project intelligent construction progress monitoring method and system. Background Art

[0002] In the field of EPC project construction progress monitoring, existing technologies mainly rely on traditional manual management and monitoring methods, which have problems such as low efficiency, incomplete data collection, and untimely information updates. Traditional monitoring methods are difficult to achieve real-time and comprehensive monitoring of the construction site, resulting in blind spots in project progress management and the inability to accurately reflect the construction progress and potential risk points in a timely manner. In addition, due to the lack of intelligent data collection and analysis tools, it is difficult for project managers to effectively process and analyze large amounts of construction data, making it impossible to accurately predict and control the construction progress.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the prior art cannot achieve real-time and accurate monitoring of the construction progress of the EPC project, resulting in low project management efficiency and difficulty in timely responding to changes and risks in the construction process, affecting project quality and construction safety. At the same time, the prior art also has limitations in data processing and analysis, and cannot fully utilize big data and intelligent means to optimize the management of the construction progress. Summary of the invention

[0004] The embodiments of the present invention aim to provide an EPC project intelligent construction progress monitoring method and system to solve the technical problems raised in the prior art.

[0005] The embodiment of the present invention solves the technical problem by adopting the following technical solution:

[0006] In a first aspect, a method for monitoring the progress of an EPC project intelligent construction is provided, comprising:

[0007] Divide the project plan into several single projects, establish several single project databases, and each single project database stores the information of different single projects;

[0008] After obtaining the historical data information of the calibrated single project through the data acquisition system, the standard operation time of each single project is obtained by using the historical data information;

[0009] Based on the completed physical engineering quantity data of the currently calibrated single project, the standard operating time of the corresponding single project is called from the database of each single project to obtain the actual total construction time. Based on the actual total construction time of the currently calibrated single project and the estimated total construction time of the remaining single projects, the planned completion rate of the single project is calculated and obtained.

[0010] Further, the monomer project database is formed by basic information data of the monomer projects in the EPC project database and calibration time information of the calibrated monomer projects;

[0011] When the uncalibrated single project is not calibrated, the single project is calibrated through the data acquisition system to obtain the basic information data of the calibrated single project, and the standard operation time of each single project is obtained by using the historical data information to obtain the calibration time information;

[0012] The basic information data corresponding to the calibration time information and the calibration time information are stored in a corresponding single project database.

[0013] Furthermore, after obtaining the historical data information of the calibrated single project through the data acquisition system, the standard operation time of each single project is obtained by using the historical data information, including:

[0014] Establish a data collection system in the system, which collects and manages historical data information based on the EPC project;

[0015] The construction monitoring data of each calibrated single project is collected according to the data collection system;

[0016] The calibrated construction monitoring data of each single project and the corresponding construction time period are used to perform curve fitting to obtain the standard operation time of the corresponding single project.

[0017] Furthermore, the construction monitoring data of each single project includes the total number of equipment used in the construction of each single project and the working data of each equipment per unit time;

[0018] The monitoring data also includes equipment models and working parameters used in each construction stage.

[0019] Furthermore, the step of performing curve fitting using the calibrated construction monitoring data of each single project and the corresponding construction time period to obtain the standard operation time of the corresponding single project includes:

[0020] The standard operation time of each construction equipment in each construction stage and the cumulative time of all construction stages are calculated through data analysis to obtain the fitting data of each construction equipment in the construction stage; the equipment configuration and construction cycle used in each construction stage are obtained according to the monitoring data, and the standard operation time of each single project is obtained according to the following formula:

[0021]

[0022] Where T is the standard operation time, k is the number of construction stages, and n is the i is the total number of construction equipment in construction stage i, tij is the standard operating time of the jth equipment in construction stage i, m i For device configuration, n i For the construction period.

[0023] Furthermore, according to the standard operation time of the calibrated single project, the planned completion rate of each single project is obtained, including:

[0024] The remaining construction plan completion rate of the marked single project in the current construction phase of each single project is obtained according to the following formula:

[0025]

[0026] Among them, C i is the planned completion rate of each single project, P i is the planned progress of a single unit project, R i is the cumulative progress of a single unit project; the planned completion rate of each unit project is obtained according to the following formula:

[0027]

[0028] Among them, C total is the planned completion rate of the EPC project, p is the number of all single projects, r is the number of completed single projects, C i It is the remaining construction plan completion rate of each single project; according to the changes in the current single project plan completion rate, the EPC project plan completion rate is predicted, and the predicted EPC project plan completion rate is displayed in real time on the electronic map.

[0029] Furthermore, the basic information data of the single projects in the EPC project database includes the code, name, equipment quantity, construction stage, equipment model used in each construction stage and working parameters of each single project.

[0030] In a second aspect of the present invention, there is provided an EPC project intelligent construction progress monitoring system, comprising:

[0031] Project plan database, engineering database, project plan summary system, data collection system, standard operation time calculation model and construction progress calculation system;

[0032] The engineering plan database includes a historical data system and an EPC project database;

[0033] The EPC project database includes the planned schedule of each single project and the basic information data of each single project;

[0034] The historical data system records the construction monitoring data and construction time period of each single project;

[0035] The engineering data database includes the standard operation time of each single engineering project;

[0036] The engineering plan summary system includes storing the basic information data of the single project in the EPC project database and the calibration time information of the calibrated single project in the corresponding single project database;

[0037] The data acquisition system includes real-time acquisition of construction monitoring data of each calibrated single project;

[0038] The standard operation time calculation model includes curve fitting using the construction monitoring data of each calibrated single project and the corresponding construction time period;

[0039] The construction progress calculation system includes obtaining the planned completion rate of each single project according to the construction data of the current construction stage of the calibrated single project.

[0040] Furthermore, the engineering plan summary system includes a plan progress query unit, a monomer information input unit, a completion rate prediction unit and a map display unit;

[0041] The plan progress query unit is used to query all project plan information and current progress of each single project in the EPC project data master table by inputting the unique code of each single project;

[0042] The monomer information input unit is used to store the basic information data of the calibrated monomer project into the monomer project database;

[0043] The completion rate prediction unit is used to predict the EPC project plan completion rate according to the changes in the current completion rate of each single project plan;

[0044] The map display unit is used to display the acquired EPC project plan completion rate in real time on an electronic map.

[0045] Furthermore, the standard operation time calculation model includes a curve fitting unit and an equipment time acquisition unit;

[0046] The curve fitting unit is used to calculate the standard operating time of each construction equipment in each different construction stage and the cumulative time of all construction stages through data analysis, and obtain the fitting data of each construction equipment in the construction stage;

[0047] The equipment time acquisition unit is used to acquire the equipment configuration and construction period used in each construction stage according to the monitoring data, and to acquire the standard operation time of each single project according to the following formula:

[0048]

[0049] Where T is the standard operation time, k is the number of construction stages, and n is the i is the total number of construction equipment in construction stage i, t ij is the standard operating time of the jth equipment in construction stage i, m i For device configuration, n i For the construction period.

[0050] The above-mentioned embodiments of the present invention have at least the following beneficial effects: the use of the EPC project intelligent construction progress monitoring method and system in the embodiments of the present invention can improve the accuracy and real-time performance of construction progress monitoring. By collecting and analyzing the historical data of the single project and combining it with the real-time monitoring data, the standard operation time of each single project can be calculated, and then the actual total construction time and the estimated total construction time can be accurately calculated, thereby obtaining the planned completion rate of the single project. This method can effectively monitor and manage the construction progress, timely discover progress deviations, provide a scientific basis for project management, and improve construction efficiency and quality.

[0051] In addition, the embodiment of the present invention can realize automatic monitoring and prediction of construction progress by establishing a data collection system and a construction progress calculation system. By displaying the EPC project plan completion rate in real time on an electronic map, project managers can intuitively understand the overall progress of the project and adjust the construction plan and resource allocation in a timely manner. This intelligent monitoring method can reduce the interference of human factors, reduce construction risks, and improve the scientificity and effectiveness of project management. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] One or more embodiments are exemplarily described by the figures in the corresponding drawings, and these exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0053] Figure 1 A schematic diagram of a process flow of an EPC project intelligent construction progress monitoring method provided by an embodiment of the present invention;

[0054] Figure 2 A schematic diagram of the structure of an EPC project intelligent construction progress monitoring system provided by an embodiment of the present invention;

[0055] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that when an element is described as "connecting" another element, it can be directly on another element, or there can be one or more centered elements therebetween. The orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "upper end", "lower end", "top" and "bottom" used in this specification is based on the orientation or positional relationship shown in the accompanying drawings, only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0057] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0058] Combine the following Figure 1 , the EPC project intelligent construction progress monitoring method 100 provided in the embodiment of the present application is described in detail through a specific embodiment.

[0059] Figure 1 The figure is a flow chart of the intelligent construction progress monitoring method for EPC projects provided by the present invention. The intelligent construction progress monitoring method for EPC projects provided by one embodiment of the present invention comprises:

[0060] Step 101, dividing the project plan into a number of single projects, establishing a number of single project databases, each single project database corresponding to the storage of information of a different single project;

[0061] Step 102, after obtaining the historical data information of the calibrated single project through the data acquisition system, the standard operation time of each single project is obtained by using the historical data information;

[0062] Step 103, based on the completed physical engineering quantity data of the currently calibrated single project, call the standard operating time of the corresponding single project from the database of each single project to obtain the actual total construction time, and calculate and obtain the planned completion rate of the single project based on the actual total construction time of the currently calibrated single project and the estimated total construction time of the remaining single projects.

[0063] It should be noted that this embodiment relates to an EPC project intelligent construction progress monitoring method, which first divides the entire project plan into several single projects and establishes a database for each single project. The single project here refers to the independent parts that constitute the entire EPC project, such as different building structures in a construction project or different production workshops in a factory. The purpose of establishing the database is to store and manage the specific information of each single project separately, including but not limited to project progress, resource allocation, construction log, etc.

[0064] Specifically, the information stored in each single project database includes the basic information data of the single project and the calibration time information of the calibrated single project. The basic information data may include the project code, name, number of equipment required, construction stage, equipment model and working parameters used in each stage, etc. The calibration time information refers to the time marking of each single project during the construction process, so that the progress of the project can be traced and analyzed later. The collection of these data can be completed through manual entry or automated data acquisition system.

[0065] Preferably, in order to improve the accuracy and real-time performance of data collection, high-precision timestamps and geographic information system (GIS) technology can be used to assist calibration. For example, sensors and cameras can be deployed at the construction site to collect construction progress and environmental data in real time, and these data can be associated with geographic locations through GIS technology. In addition, historical data can be analyzed through machine learning algorithms to predict construction progress and potential risk points, thereby achieving more intelligent construction progress monitoring.

[0066] In some embodiments, the monomer project database is formed by basic information data of the monomer projects in the EPC project database and calibration time information of the calibrated monomer projects;

[0067] When the uncalibrated single project is not calibrated, the single project is calibrated through the data acquisition system to obtain the basic information data of the calibrated single project, and the standard operation time of each single project is obtained by using the historical data information to obtain the calibration time information;

[0068] The basic information data corresponding to the calibration time information and the calibration time information are stored in a corresponding single project database.

[0069] It should be noted that this embodiment describes an extension of an EPC project intelligent construction progress monitoring method, with particular attention to the construction of a single project database and the calibration process of uncalibrated single projects. Here, calibration refers to determining the specific parameters and characteristics of a single project so that its construction progress can be accurately monitored and managed. This process involves collecting basic information data of the single project, and combining historical data information to determine the standard operating time of each single project, and finally forming calibration time information.

[0070] Specifically, the single project database consists of two parts: the basic information data of the single project in the EPC project database and the calibration time information of the calibrated single project. The basic information data includes the code, name, equipment quantity, construction stage, etc. of the single project, which provides a basic framework for construction progress monitoring.

[0071] More specifically, the calibration time information is generated during the calibration of a single project, and includes key time points during the construction process, such as the start time, completion time of key nodes, etc. This information can be automatically collected through a data acquisition system, or manually entered by construction management personnel at the construction site.

[0072] Preferably, in order to improve the accuracy and efficiency of calibration, automated tools can be used to assist the calibration process. For example, drones can be used for on-site surveys to automatically collect geographic and spatial data of the construction site, as well as the construction progress. At the same time, artificial intelligence algorithms can be used to analyze the collected data, automatically identify key nodes of the construction progress, and generate calibration time information accordingly.

[0073] Furthermore, through mobile applications or web platforms, construction managers can update and view calibration information in real time to ensure the real-time and dynamic nature of construction progress monitoring. The application of these technologies not only improves the accuracy of construction progress monitoring, but also provides more flexibility and responsiveness for project management.

[0074] In some embodiments, after obtaining the historical data information of the calibrated single project through the data acquisition system, the standard operation time of each single project is obtained by using the historical data information, including:

[0075] Establish a data collection system in the system, which collects and manages historical data information based on the EPC project;

[0076] The construction monitoring data of each calibrated single project is collected according to the data collection system;

[0077] The calibrated construction monitoring data of each single project and the corresponding construction time period are used to perform curve fitting to obtain the standard operation time of the corresponding single project.

[0078] It should be noted that this implementation method describes in detail how to obtain the historical data information of the calibrated single project through the data acquisition system, and use this information to obtain the standard operation time of each single project. The data acquisition system here refers to a set of technologies and tools for collecting and storing various types of data generated during the construction process, including sensors, surveillance cameras, manual input devices, etc. The system can collect and manage historical data information and provide basic data for subsequent construction progress analysis and monitoring.

[0079] Specifically, the data collection system collects and manages historical data information based on EPC projects. This means that the system will collect detailed information including construction monitoring data and construction time periods for each single project. Construction monitoring data may include equipment usage, material consumption, labor allocation, etc., while the construction time period refers to the start and end time of each construction stage.

[0080] More specifically, the collection of this data can be done with preset parameters. For example, the system can be set to automatically record the working status of the equipment every half hour, or manually enter the completion status at the end of each construction stage. By analyzing this data, the standard operating time for each single project can be determined, that is, the time required to complete the project under ideal conditions.

[0081] Preferably, in order to improve the accuracy and efficiency of data collection, advanced sensor technology and automation software can be used to enhance the functionality of the data collection system. For example, high-precision GPS sensors can be deployed to track the movement and use of construction equipment, or infrared sensors can be used to monitor the temperature and humidity of the construction area, which are environmental factors that may affect the construction progress.

[0082] Furthermore, a user-friendly interface can be developed to enable construction managers to easily input and view data, as well as set parameters for data collection. As an alternative, data collection functions can also be integrated into existing project management software, which can reduce additional hardware investment and utilize existing data management infrastructure. Through these methods, it can be ensured that the data collection system can provide comprehensive and accurate construction progress information, providing a solid data foundation for intelligent monitoring of construction progress.

[0083] In some embodiments, the construction monitoring data of each single project includes the total number of equipment used in the construction of each single project and the working data of each equipment per unit time;

[0084] The monitoring data also includes equipment models and working parameters used in each construction stage.

[0085] It should be noted that this implementation method involves the detailed contents of the construction monitoring data of a single project, which includes not only the total number of equipment used in the construction and the working data of each equipment per unit time, but also the equipment models and working parameters used in each construction stage. Here, the construction monitoring data refers to the data related to the use and performance of equipment collected during the construction process, which is crucial for analyzing the construction efficiency and progress.

[0086] Specifically, construction monitoring data includes, but is not limited to, equipment startup time, operating time, downtime, maintenance cycle, etc. This data can be automatically collected by sensors installed on the equipment, or manually recorded by operators at specific points in time. Equipment model refers to the brand and model of specific equipment used in construction, while operating parameters include technical specifications such as equipment operating speed, load capacity, energy consumption, etc. This information is critical to understanding the performance of the equipment and its impact on the construction schedule.

[0087] More specifically, the parameter setting can be determined according to the specific construction requirements and the technical manual of the equipment. For example, a parameter can be set to monitor the mixing speed of a concrete mixer to ensure the uniformity and quality of the concrete.

[0088] Preferably, in order to collect and analyze construction monitoring data more accurately, the Internet of Things (IoT) technology can be used to realize intelligent monitoring of equipment. By installing smart sensors on the equipment, the operation data of the equipment can be collected in real time and transmitted to the central monitoring system. In addition, big data analysis technology can be used to process and analyze this data to identify bottlenecks and inefficient links in the construction process.

[0089] Furthermore, as an alternative, mobile device applications can also be used to allow field workers to directly input equipment operating parameters and construction phase information, which can reduce data entry errors and improve the flexibility and response speed of data collection. Through these methods, the accuracy and real-time nature of construction monitoring data can be ensured, providing a solid data foundation for intelligent monitoring of construction progress.

[0090] In some embodiments, the step of performing curve fitting using the calibrated construction monitoring data of each monomer project and the corresponding construction time period to obtain the standard operation time of the corresponding monomer project includes:

[0091] The standard operation time of each construction equipment in each construction stage and the cumulative time of all construction stages are calculated through data analysis to obtain the fitting data of each construction equipment in the construction stage; the equipment configuration and construction cycle used in each construction stage are obtained according to the monitoring data, and the standard operation time of each single project is obtained according to the following formula:

[0092]

[0093] Where T is the standard operation time, k is the number of construction stages, and n is the i is the total number of construction equipment in construction stage i, t ij is the standard operating time of the jth equipment in construction stage i, m i For device configuration, n i For the construction period.

[0094] It should be noted that this embodiment describes in detail how to use the calibrated construction monitoring data of each single project and the corresponding construction time period to perform curve fitting to obtain the standard operation time of the corresponding single project. Here, curve fitting is a mathematical method used to create an approximate function model through historical data points in order to predict or estimate future data trends. This method is used in construction progress management to determine the time required to complete a specific construction task under normal conditions.

[0095] Specifically, the curve fitting process involves data analysis to calculate the standard operating time of each construction equipment in different construction stages and the cumulative time of all construction stages. This includes calculating the fitting data of each construction equipment in the construction stage, which can be processed by statistical analysis software or professional time series analysis tools.

[0096] More specifically, parameter setting may include selecting an appropriate mathematical model (such as linear regression, polynomial regression or other nonlinear models), and determining model parameters such as slope, intercept, etc. The setting of these parameters will be based on the characteristics of historical data and the specific requirements of the construction process.

[0097] Preferably, in order to improve the accuracy and practicality of curve fitting, a machine learning algorithm can be used to optimize the selection of models and the determination of parameters. For example, advanced algorithms such as random forests or neural networks can be used to identify the data patterns that best represent the construction progress.

[0098] Furthermore, a dynamic adjustment mechanism can be set up to continuously update the fitting model based on the latest construction data to reflect changes in construction conditions. As an alternative, an expert system can also be used to adjust and verify the results of curve fitting in combination with the knowledge and experience of domain experts to ensure that the model's predictions are consistent with actual conditions. Through these methods, it can be ensured that the construction progress monitoring system can provide more accurate and reliable standard operation time predictions.

[0099] In some embodiments, according to the calibrated standard operation time of each single project, the planned completion rate of each single project is obtained, including:

[0100] The remaining construction plan completion rate of the marked single project in the current construction phase of each single project is obtained according to the following formula:

[0101]

[0102] Among them, C i is the planned completion rate of each single project, P i is the planned progress of a single unit project, R i is the cumulative progress of a single unit project; the planned completion rate of each unit project is obtained according to the following formula:

[0103]

[0104] Among them, C total is the planned completion rate of the EPC project, p is the number of all single projects, r is the number of completed single projects, C i It is the remaining construction plan completion rate of each single project; according to the changes in the current single project plan completion rate, the EPC project plan completion rate is predicted, and the predicted EPC project plan completion rate is displayed in real time on the electronic map.

[0105] It should be noted that this embodiment involves the process of obtaining the planned completion rate of each single project according to the standard operation time of the calibrated single project. The planned completion rate here refers to the percentage of progress of the single project completed according to the predetermined plan, which is an important indicator to measure whether the construction progress meets expectations. By calculating the planned completion rate, project managers can evaluate whether the project is proceeding as planned and whether resource allocation or construction strategy needs to be adjusted.

[0106] Specifically, obtaining the remaining construction plan completion rate of the marked single projects in the current construction phase of each single project involves a specific calculation formula. For example, the planned completion rate can be calculated by subtracting the cumulative progress from the planned progress. The planned progress here refers to the progress target determined according to the project plan, and the cumulative progress refers to the actual amount of work completed so far.

[0107] More specifically, this data can be automatically tracked and calculated by project management software, or manually updated by construction managers based on on-site conditions. Parameter settings may include setting the frequency of progress tracking, defining the unit of progress (such as workload, time or cost), etc.

[0108] Preferably, in order to more accurately reflect the construction progress, advanced project management tools and technologies can be introduced. For example, an agile project management approach can be adopted to break down the project into multiple small, manageable stages and set clear progress goals for each stage. In addition, BIM (Building Information Modeling) technology can be used to update and visualize the construction progress in real time, which helps to more intuitively understand the planned completion rate and discover potential problems in a timely manner.

[0109] Furthermore, as an alternative, mobile device applications can also be used to allow field workers to update construction progress in real time, which can reduce data entry delays and improve the real-time nature of progress tracking. Through these methods, it can be ensured that the construction progress monitoring system can provide more accurate and timely plan completion rate data.

[0110] In some embodiments, the basic information data of the single project in the EPC project database includes the code, name, equipment quantity, construction stage, equipment model used in each construction stage and working parameters of each single project.

[0111] It should be noted that this implementation describes in detail the composition of the basic information data of the single project in the EPC project database, which is the key to the normal operation of the monitoring and management system. Here, the basic information data of the single project refers to the basic attributes and characteristics of each independent project in the EPC project, which provide necessary reference information for monitoring and analyzing the construction progress.

[0112] Specifically, the basic information data of a single project includes the code, name, equipment quantity, construction stage, equipment model used in each construction stage, and working parameters of each single project. The code is a string of numbers or letters used to uniquely identify each single project; the name is the official name of the single project; the equipment quantity refers to the total number of equipment required to complete the single project; the construction stage refers to the various construction stages into which the entire project is divided; the equipment model refers to the brand and model of specific equipment used in different construction stages; and the working parameters include the operating parameters of the equipment, such as speed, pressure, etc.

[0113] More specifically, these parameters can be set according to the needs of the actual project. For example, the number of equipment can be determined according to the scale and complexity of the project, or the working parameters can be set according to the construction difficulty and equipment capacity.

[0114] Preferably, in order to make the basic information data more comprehensive and accurate, an automated data input and verification system can be used to collect and confirm this information. For example, barcode or QR code scanning technology can be used to automatically input and verify equipment models and quantities to reduce manual input errors. In addition, GIS (Geographic Information System) technology can be used to record and analyze location information during the construction phase, which is particularly important for large or decentralized engineering projects.

[0115] Furthermore, as an alternative, it is also possible to automatically obtain the working parameters and model information of the equipment through system integration with the supplier, which can ensure the consistency and accuracy of the data. Through these methods, the quality and availability of basic information data can be improved, providing a solid data foundation for construction progress monitoring.

[0116] The above-mentioned embodiments of the present invention have the following beneficial effects: The EPC project intelligent construction progress monitoring method described in the present invention can improve the efficiency and accuracy of construction progress management. By dividing the project plan into several single projects and establishing a database for each single project, the detailed information of different single projects can be stored and managed separately. By using the historical data information obtained by the data acquisition system and combining it with the completed physical engineering quantity data, the actual total construction time and the estimated total construction time can be accurately calculated, and then the completion rate of the single project plan can be calculated. This method can make the construction progress monitoring more refined, help to timely discover progress deviations and take corresponding measures, so as to ensure that the project proceeds smoothly as planned.

[0117] In addition, the intelligent construction progress monitoring method of the present invention can also obtain its basic information data and calibration time information by calibrating the uncalibrated single project, and further enrich the database content. By collecting and curve fitting the construction monitoring data of each calibrated single project, the standard operation time of each single project can be obtained, providing more accurate data support for the prediction and control of the construction progress. This method can reduce the dependence on manual monitoring, reduce monitoring costs, and at the same time improve the automation and intelligence level of construction progress monitoring, providing a more scientific decision-making basis for project management.

[0118] like Figure 2 As shown, in some embodiments, an EPC project intelligent construction progress monitoring system 200 includes:

[0119] Project plan database 201, project database 202, project plan summary system 203, data collection system 204, standard operation time calculation model 205 and construction progress calculation system 206;

[0120] The engineering plan database includes a historical data system and an EPC project database;

[0121] The EPC project database includes the planned schedule of each single project and the basic information data of each single project;

[0122] The historical data system records the construction monitoring data and construction time period of each single project;

[0123] The engineering data database includes the standard operation time of each single engineering project;

[0124] The engineering plan summary system includes storing the basic information data of the single project in the EPC project database and the calibration time information of the calibrated single project in the corresponding single project database;

[0125] The data acquisition system includes real-time acquisition of construction monitoring data of each calibrated single project;

[0126] The standard operation time calculation model includes curve fitting using the construction monitoring data of each calibrated single project and the corresponding construction time period;

[0127] The construction progress calculation system includes obtaining the planned completion rate of each single project according to the construction data of the current construction stage of the calibrated single project.

[0128] It is understandable that the modules recorded in the EPC project intelligent construction progress monitoring system 200 are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the EPC project intelligent construction progress monitoring method are also applicable to the EPC project intelligent construction progress monitoring system 200 and the modules contained therein, and will not be repeated here.

[0129] In some embodiments, the engineering plan summary system includes a plan progress query unit, a monomer information input unit, a completion rate prediction unit, and a map display unit;

[0130] The plan progress query unit is used to query all project plan information and current progress of each single project in the EPC project data master table by inputting the unique code of each single project;

[0131] The monomer information input unit is used to store the basic information data of the calibrated monomer project into the monomer project database;

[0132] The completion rate prediction unit is used to predict the EPC project plan completion rate according to the changes in the current completion rate of each single project plan;

[0133] The map display unit is used to display the acquired EPC project plan completion rate in real time on an electronic map.

[0134] It should be noted that this embodiment describes the specific components of the intelligent construction progress control system of the EPC project, which includes a project plan database, a project database, a project plan summary system, a data acquisition system, a standard operation time calculation model, and a construction progress calculation system. These components work together to achieve intelligent monitoring and management of the construction progress of the EPC project. Here, the project plan database refers to a database that stores relevant project plans and historical data, and the project database refers to a database that stores the standard operation time of each single project.

[0135] Specifically, the engineering planning database includes a historical data system and an EPC project database. The historical data system records the construction monitoring data and construction time period of each single project, which are essential for analyzing and predicting the construction progress. The EPC project database includes the planned schedule and basic information data of each single project, which provides a basic framework for monitoring the construction progress. The engineering database stores the standard operating time of each single project, which is obtained through data analysis and calculation.

[0136] More specifically, the project plan summary system is responsible for storing the basic information data and calibration time information of the individual projects in the corresponding individual project database. The data acquisition system is responsible for real-time collection of the construction monitoring data of each calibrated individual project. The standard operation time calculation model uses the construction monitoring data and the construction time period for curve fitting, while the construction progress calculation system obtains the completion rate of each individual project plan based on the construction data in the current construction stage.

[0137] Preferably, in order to improve the efficiency and accuracy of the system, the functions of these components can be further refined and optimized. For example, the engineering plan summary system can include an automated data synchronization mechanism to ensure that the information in the database is always up to date. The data acquisition system can use a wireless sensor network to monitor the conditions of the construction site in real time, such as temperature, humidity, equipment status, etc. The standard operation time calculation model can integrate machine learning algorithms to improve the accuracy of curve fitting and the reliability of prediction. The construction progress calculation system can provide a user-friendly interface that allows project managers to easily access and analyze progress data.

[0138] Furthermore, as an alternative, cloud services can be considered to store and process large amounts of data, which can reduce the need for local hardware and improve data accessibility and security. Through these refinements and alternatives, the performance and user experience of the EPC project intelligent construction progress control system can be further improved.

[0139] In some embodiments, the standard operation time calculation model includes a curve fitting unit and an equipment time acquisition unit;

[0140] The curve fitting unit is used to calculate the standard operating time of each construction equipment in each different construction stage and the cumulative time of all construction stages through data analysis, and obtain the fitting data of each construction equipment in the construction stage;

[0141] The equipment time acquisition unit is used to acquire the equipment configuration and construction period used in each construction stage according to the monitoring data, and to acquire the standard operation time of each single project according to the following formula:

[0142]

[0143] Where T is the standard operation time, k is the number of construction stages, and n is the i is the total number of construction equipment in construction stage i, t ij is the standard operating time of the jth equipment in construction stage i, m i For device configuration, n i For the construction period.

[0144] It should be noted that this embodiment describes in detail the composition and functions of the engineering plan summary system, which includes a plan progress query unit, a monomer information entry unit, a completion rate prediction unit, and a map display unit. These units work together to provide comprehensive project progress monitoring and management functions. Here, the plan progress query unit refers to a functional module in the system for querying the project plan progress, and the monomer information entry unit refers to a functional module for entering and managing monomer engineering information.

[0145] Specifically, the plan progress query unit allows the user to query all project plan information and current progress about the single project in the EPC project data table by entering the unique code of the single project. The single project information entry unit is used to store the basic information data of the calibrated single project into the single project database. These data include the project code, name, equipment quantity, etc. The completion rate prediction unit predicts the EPC project plan completion rate based on the changes in the current plan completion rate of each single project. The map display unit is used to display the acquired EPC project plan completion rate in real time on the electronic map, which helps project managers intuitively understand the project progress.

[0146] Preferably, in order to improve the practicality and user experience of the system, the functions of these units can be further refined and optimized. For example, the plan progress query unit can provide filtering and sorting functions, allowing users to quickly find relevant information based on specific conditions (such as progress status, project type, etc.). The monomer information entry unit can integrate automated data verification functions to ensure that the entered data is accurate. The completion rate prediction unit can use advanced statistical or machine learning algorithms to improve the accuracy of the prediction. The map display unit can provide a variety of view options, such as satellite view, street view, etc., as well as different data layers, such as traffic conditions, weather information, etc., to provide richer contextual information.

[0147] Furthermore, as an alternative, it is possible to consider developing a mobile application version that allows field workers to update and view project progress directly on mobile devices, which can improve the real-time and convenience of data updates. Through these refinements and alternatives, the functionality and flexibility of the engineering plan summary system can be further improved.

[0148] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0149] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0150] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0151] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0152] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them. Under the concept of the present invention, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other changes in different aspects of the present invention as above, which are not provided in detail for the sake of simplicity. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An EPC project intelligent construction progress monitoring method, characterized in that: Divide the project plan into several single projects, establish several single project databases, and each single project database stores the information of different single projects; After obtaining the historical data information of the calibrated single project through the data acquisition system, the standard operation time of each single project is obtained by using the historical data information; Based on the completed physical engineering quantity data of the currently calibrated single project, the standard operating time of the corresponding single project is called from the database of each single project to obtain the actual total construction time. Based on the actual total construction time of the currently calibrated single project and the estimated total construction time of the remaining single projects, the planned completion rate of the single project is calculated and obtained.

2. The EPC project intelligent construction progress monitoring method according to claim 1 is characterized in that: The single project database is formed by the basic information data of the single project in the EPC project database and the calibration time information of the calibrated single project; When the uncalibrated single project is not calibrated, the single project is calibrated through the data acquisition system to obtain the basic information data of the calibrated single project, and the standard operation time of each single project is obtained by using the historical data information to obtain the calibration time information; The basic information data corresponding to the calibration time information and the calibration time information are stored in a corresponding single project database.

3. The EPC project intelligent construction progress monitoring method according to claim 1 is characterized in that: After obtaining the historical data information of the calibrated single project through the data acquisition system, the standard operation time of each single project is obtained by using the historical data information, including: Establish a data collection system in the system, which collects and manages historical data information based on the EPC project; The construction monitoring data of each calibrated single project is collected according to the data collection system; The calibrated construction monitoring data of each single project and the corresponding construction time period are used to perform curve fitting to obtain the standard operation time of the corresponding single project.

4. The EPC project intelligent construction progress monitoring method according to claim 3 is characterized in that: The construction monitoring data of each single project includes the total number of equipment used in the construction of each single project and the working data of each equipment per unit time; The monitoring data also includes equipment models and working parameters used in each construction stage.

5. The EPC project intelligent construction progress monitoring method according to claim 3 is characterized in that: The step of performing curve fitting using the calibrated construction monitoring data of each monomer project and the corresponding construction time period to obtain the standard operation time of the corresponding monomer project comprises: The standard operation time of each construction equipment in each construction stage and the cumulative time of all construction stages are calculated through data analysis to obtain the fitting data of each construction equipment in the construction stage; the equipment configuration and construction cycle used in each construction stage are obtained according to the monitoring data, and the standard operation time of each single project is obtained according to the following formula: Among them, t is the standard operation time, K is the number of construction stages, and n is i is the total number of construction equipment in construction stage i, t ij is the standard operating time of the jth equipment in construction stage i, m i For device configuration, n i For the construction period.

6. The EPC project intelligent construction progress monitoring method according to claim 1 is characterized in that: According to the standard operation time of the calibrated single project, obtain the planned completion rate of each single project, including: The remaining construction plan completion rate of the marked single project in the current construction phase of each single project is obtained according to the following formula: Among them, C i is the planned completion rate of each single project, P i is the planned progress of a single unit project, R i It is the cumulative progress of a single unit project; The planned completion rate of each single project is obtained according to the following formula: Among them, C total is the planned completion rate of the EPC project, p is the number of all single projects, r is the number of completed single projects, C i It is the remaining construction plan completion rate of each single project; according to the changes in the current single project plan completion rate, the EPC project plan completion rate is predicted, and the predicted EPC project plan completion rate is displayed in real time on the electronic map.

7. The EPC project intelligent construction progress monitoring method according to claim 2 is characterized in that: The basic information data of the single project in the EPC project database includes the code, name, equipment quantity, construction stage, equipment model used in each construction stage and working parameters of each single project.

8. An EPC project intelligent construction progress control system, characterized in that: It includes engineering plan database, engineering database, engineering plan summary system, data collection system, standard operation time calculation model and construction progress calculation system; The engineering plan database includes a historical data system and an EPC project database; The EPC project database includes the planned schedule of each single project and the basic information data of each single project; The historical data system records the construction monitoring data and construction time period of each single project; The engineering data database includes the standard operation time of each single engineering project; The engineering plan summary system includes storing the basic information data of the single project in the EPC project database and the calibration time information of the calibrated single project in the corresponding single project database; The data acquisition system includes real-time acquisition of construction monitoring data of each calibrated single project; The standard operation time calculation model includes curve fitting using the construction monitoring data of each calibrated single project and the corresponding construction time period; The construction progress calculation system includes obtaining the planned completion rate of each single project according to the construction data of the current construction stage of the calibrated single project.

9. The EPC project intelligent construction progress control system according to claim 8 is characterized in that: The engineering plan summary system includes a plan progress query unit, a monomer information input unit, a completion rate prediction unit and a map display unit; The plan progress query unit is used to query all project plan information and current progress of each single project in the EPC project data master table by inputting the unique code of each single project; The monomer information input unit is used to store the basic information data of the calibrated monomer project into the monomer project database; The completion rate prediction unit is used to predict the EPC project plan completion rate according to the changes in the current completion rate of each single project plan; The map display unit is used to display the acquired EPC project plan completion rate in real time on an electronic map.

10. The EPC project intelligent construction progress control system according to claim 8, characterized in that: The standard operation time calculation model includes a curve fitting unit and an equipment time acquisition unit; The curve fitting unit is used to calculate the standard operating time of each construction equipment in each different construction stage and the cumulative time of all construction stages through data analysis, and obtain the fitting data of each construction equipment in the construction stage; The equipment time acquisition unit is used to acquire the equipment configuration and construction period used in each construction stage according to the monitoring data, and to acquire the standard operation time of each single project according to the following formula: Where T is the standard operation time, k is the number of construction stages, and n is the i is the total number of construction equipment in construction stage i, t ij is the standard operating time of the jth equipment in construction stage i, m i For device configuration, n i For the construction period.

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