CN115358726B - Engineering construction progress monitoring system and method based on Internet of things - Google Patents

Engineering construction progress monitoring system and method based on Internet of things Download PDF

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CN115358726B
CN115358726B CN202211275287.XA CN202211275287A CN115358726B CN 115358726 B CN115358726 B CN 115358726B CN 202211275287 A CN202211275287 A CN 202211275287A CN 115358726 B CN115358726 B CN 115358726B
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CN115358726A (en
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刘金芝
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Shenzhen Ruituo New Technology Co ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/103—Workflow collaboration or project management
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063118—Staff planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316—Sequencing of tasks or work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Abstract

The invention discloses an engineering construction progress monitoring system and method based on the Internet of things, and particularly relates to the field of engineering supervision, which is used for solving the problem that the monitoring of the construction progress of the existing engineering does not monitor multiple project projects with single interior in real time, so that the overall construction progress is slowed down by individual projects in the later period; the whole project is divided into a plurality of monitoring areas according to the construction project, unified monitoring is carried out, and scheduling arrangement is carried out according to the project sequence, so that smooth implementation of the whole construction progress plan is guaranteed, the quality guarantee of the construction project is completed on time, and the situation that the whole construction progress is slowed down by individual projects in the later period due to the fact that the monitoring of the construction progress of the existing project does not carry out real-time monitoring on multiple project projects with single interior is avoided.

Description

Engineering construction progress monitoring system and method based on Internet of things
Technical Field
The invention relates to the technical field of project supervision, in particular to a project construction progress monitoring system and method based on the Internet of things.
Background
The engineering construction progress monitoring is an engineering service for monitoring the engineering construction process in real time, and mainly plays a role in grasping the progress of the engineering progress and timely overall arrangement so as to ensure that the construction engineering can be smoothly developed on time with quality guarantee.
At present, the project construction progress is monitored and controlled integrally based on a BIM (building information modeling) model, multiple projects with single interior are not monitored in real time, the progress of individual projects in the projects can slow down the overall project progress due to the fact that connections exist among projects in the projects, and if the regulation and control are not timely perceived, the overall construction progress in the later period is likely to slow down.
Therefore, in order to solve the above problems, the present invention proposes a technical solution.
Disclosure of Invention
In order to overcome the above defects in the prior art, embodiments of the present invention provide an engineering construction progress monitoring system and method based on the internet of things, which divide the whole engineering into a plurality of monitoring areas according to the construction project, perform unified monitoring, and perform scheduling arrangement according to the project order, so as to solve the problems proposed in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a project construction progress monitoring method based on the Internet of things comprises the following steps:
step S10, a data acquisition unit acquires construction progress information of each item of a construction site and environment information of the construction site and respectively sends the construction progress information and the environment information to a progress analysis unit and an environment analysis unit;
step S20, the progress analysis unit and the environment analysis unit respectively evaluate, analyze and process the received construction progress information and the environment information of the construction site, calculate and obtain an error characteristic value E and an external factor influence coefficient Q, and send the error characteristic value E and the external factor influence coefficient Q to the comprehensive analysis unit for analysis;
and S30, judging whether each construction project has risk in the future or not by the comprehensive analysis unit according to the product of the error characteristic value E and the external factor influence coefficient Q.
In a preferred embodiment, in step S20, when the progress analyzing unit receives the current progress information of each project in the construction site, which is acquired by the data acquiring unit, the progress analyzing unit performs directional evaluation analysis on the construction progress according to the information, where the specific analysis process is as follows:
dividing a construction site into n areas according to different project types, wherein n is a positive integer greater than or equal to 1, respectively obtaining n project schedules, defining each target as Pn, each project engineering quantity as Sn, each project planning time as Tn, establishing an actual measurement project schedule model according to each project planning time point and each project engineering quantity, and establishing the actual measurement project schedule model by adopting a polynomial curve fitting method, wherein the fitting curve adopts the following formula:
Figure DEST_PATH_IMAGE001
in the formula, y is a normalized value of the project engineering quantity completion value, t is the proceeding duration of the project planning time, and t is greater than 0 and smaller than Tn; a. b and c are polynomial coefficients;
the progress analysis unit then calls the project quantity completion values and the planned time standard project progress curves stored in the data storage unit, and compares the actually measured curves with the planned time standard project progress curvesThe standard curves are overlapped and compared, the time axis is used as the reference for overlapping during comparison, and the project engineering quantity completion values on the actual measurement curves are calibrated to
Figure 750108DEST_PATH_IMAGE002
The project engineering quantity completion value of each project on the standard curve is calibrated to
Figure 62141DEST_PATH_IMAGE003
(ii) a And carrying out root mean square error evaluation analysis on project engineering quantity finished values under the corresponding time of the two curves according to a formula:
Figure 366522DEST_PATH_IMAGE004
and obtaining an error characteristic value E, wherein,
Figure DEST_PATH_IMAGE005
in order to measure the parameters actually, the measurement parameters,
Figure 473018DEST_PATH_IMAGE006
and the progress analysis unit acquires an error characteristic value E and sends the error characteristic value E to the comprehensive analysis unit for comprehensive evaluation and analysis.
In a preferred embodiment, in step S20, the progress analysis unit further compares the error characteristic value E with a target error threshold value E max Comparing to determine whether the actual error characteristic value E is greater than the error threshold value E max When E is>E max Judging the actually measured completion value of each project engineering quantity and the standard completion value of each project engineering quantity, if yes, judging whether the actually measured completion value of each project engineering quantity is equal to the standard completion value of each project engineering quantity
Figure 871638DEST_PATH_IMAGE002
>
Figure 190624DEST_PATH_IMAGE003
If the project quantity completion value is far beyond the plan requirement, the project quantity completion value is completed in advance, and if the project quantity completion value is lower than the plan requirement, the progress is delayed; when E is less than or equal to E max The project engineering quantity completion value is within the error range and belongs to normal progress;
and after acquiring the progress state of each project, the progress analysis unit sends the progress state information of each project to the display terminal to feed back and display the result.
In a preferred embodiment, in step S20, the progress analysis unit further divides each item Pn into a front item and a high-level item, and sets the high-level item target that is not in operation as Pn ', where the number of the front item targets is equal to the sum of the number of n and the number of n';
judging the state of the front project Pn ' of Pn ', acquiring the excess project quantity of which the project quantity completion value far exceeds the plan requirement and the defect project quantity of which the project quantity completion value is lower than the plan requirement in the Pn ', and sending the data to a project regulation and control unit; meanwhile, according to the work efficiency eta n' of workers, whether the project vacancy of delayed completion can be made up by the pre-project completed in advance is judged, and the specific judgment method is as follows:
obtaining the number p of workers with the excess or lack of the front project according to the formula p = Sn '/η n',
wherein Sn 'is the measured excess or absence of engineering quantities of Pn';
if the project quantity completion value in Pn' far exceeds the project requirement, the number of the exceeding workers is larger than the number of the defect workers, the project quantity completion value of which is lower than the project requirement, the project vacancy delaying completion of the project can be made up, and otherwise, the project vacancy cannot be filled;
if the project vacancy of delayed completion can be compensated by the front project completed in advance, the high-level project Pn of the front project can be normalized, otherwise, the high-level project Pn cannot be normalized;
and the progress analysis unit sends normalization progress information of the high-level project Pn to the display terminal to feed back and display results.
An engineering construction progress monitoring system based on the Internet of things is used for realizing the engineering construction progress monitoring method based on the Internet of things, and comprises a data acquisition unit, a data storage unit, a progress analysis unit, an environment analysis unit, a project regulation and control unit, a comprehensive analysis unit and a display terminal;
the data acquisition unit is used for acquiring construction progress information of each project of the construction site and environment information of the construction site, and respectively sending the construction progress information and the environment information to the progress analysis unit and the environment analysis unit;
the data storage unit is used for storing the standard engineering progress model and the fitting curve thereof, and recording and storing data acquired or processed and analyzed by other modules;
the progress analysis unit is used for analyzing each project and the whole project in the construction project after receiving the construction progress information to obtain the progress information of each project;
the environment analysis unit is used for receiving the environment information of the construction site and carrying out evaluation analysis processing to obtain the influence coefficient of external factors on the construction progress;
the project regulating and controlling unit is used for carrying out secondary deployment on the preposed project personnel according to the preposed project information sent by the progress analyzing unit so as to accelerate the overall progress of the construction project;
the comprehensive analysis unit is used for judging whether the progress of each construction project has risks in the future or not according to the information processed by the progress analysis unit and the environment analysis unit;
and the display terminal is used for displaying the information contents processed by the progress analysis unit, the environment analysis unit and the comprehensive analysis unit.
The engineering construction progress monitoring system and method based on the Internet of things have the technical effects and advantages that:
1. the invention divides the whole project into a plurality of monitoring areas according to the construction project, carries out unified monitoring, and carries out scheduling arrangement according to the project sequence, thereby ensuring the smooth implementation of the whole construction progress plan, completing the quality guarantee of the construction project on time, and avoiding the condition that the whole construction progress is slowed down by individual projects in later period because the monitoring of the construction progress of the existing project does not carry out real-time monitoring on various project projects with single interior;
2. according to the method and the system, the personnel allocation among projects can be integrated and optimized in time according to the judgment and regulation of the preposed project of the high-grade project, and meanwhile, each project and the whole project can be analyzed, so that the progress condition of the construction project is fully reflected.
Drawings
FIG. 1 is a schematic structural diagram of an engineering construction progress monitoring system based on the Internet of things;
fig. 2 is a flow chart of the engineering construction progress monitoring method based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention discloses an engineering construction progress monitoring system based on the Internet of things, which divides the whole engineering into a plurality of monitoring areas according to construction projects, carries out unified monitoring, and carries out scheduling arrangement according to project sequences, thereby ensuring the smooth implementation of the whole construction progress plan, completing the construction project on time with quality guarantee, and avoiding the condition that the whole construction progress is slowed down by individual projects due to the fact that the inside of various project projects with single inside are not monitored in real time in the monitoring of the existing engineering construction progress.
Specifically, as shown in fig. 1, the system comprises a data acquisition unit, a data storage unit, a progress analysis unit, an environment analysis unit, a project regulation and control unit, a comprehensive analysis unit and a display terminal;
the data acquisition unit is used for acquiring construction progress information of each item of the construction site and environment information of the construction site, and sending the construction progress information and the environment information to the progress analysis unit and the environment analysis unit respectively. The construction progress information of each project of the construction site is the current progress information of each project of the construction site.
The data storage unit is used for storing the standard engineering progress model and the fitting curve thereof, and recording and storing data acquired or processed and analyzed by other modules.
When the progress analysis unit receives the current progress information of each project of the construction site, which is acquired by the data acquisition unit, the construction progress is directionally evaluated, analyzed and processed according to the information, and the specific analysis process is as follows:
dividing a construction site into n areas according to different project types, wherein n is a positive integer greater than or equal to 1, respectively obtaining n project schedules, defining each target as Pn, each project quantity as Sn, each project plan time as Tn, and establishing an actual measurement project schedule model according to each project plan time point and each project quantity, wherein each project plan time point is taken as an X axis, temperature data is taken as a Y axis, and a polynomial curve fitting method is adopted to establish the actual measurement project schedule model, and a fitting curve adopts:
Figure 358300DEST_PATH_IMAGE001
in the formula, y is a normalized value of the project engineering quantity completion value, t is represented by the progress duration of the project planning time, the progress duration is also a normalized value, and t is greater than 0 and smaller than Tn; a. b and c are polynomial coefficients. And then intercepting the finish value of each project engineering quantity by a method of dividing the planning time period, thereby determining the actually measured engineering progress model coefficient and obtaining the actually measured curve of the finish value of each project engineering quantity and the planning time. The specific fitting process is the same as the fitting process of the conventional polynomial, and is not described herein again.
Meanwhile, the progress analysis unit calls each project engineering quantity completion value stored in the data storage unit and a planned time standard engineering progress curve, and the actually measured curve and the standard curve are overlapped and compared, the time axis is used as a reference for superposition during comparison, and each project engineering quantity completion value on the actually measured curve is calibrated to be
Figure 104539DEST_PATH_IMAGE002
The project engineering quantity completion value of each project on the standard curve is calibrated to
Figure 724876DEST_PATH_IMAGE003
(ii) a And carrying out root mean square error evaluation analysis on project engineering quantity finished values under the corresponding time of the two curves according to a formula:
Figure 644291DEST_PATH_IMAGE007
and obtaining an error characteristic value E, wherein,
Figure 400894DEST_PATH_IMAGE005
in order to measure the parameters actually measured,
Figure 586544DEST_PATH_IMAGE006
and the progress analysis unit acquires an error characteristic value E and sends the error characteristic value E to the comprehensive analysis unit for comprehensive evaluation and analysis.
The error characteristic value E can reflect whether the construction progress of each item meets the standard expectation or not, and the error characteristic value E and the rated error threshold value E are used max Comparing to determine whether the actual error characteristic value E is greater than the error threshold value E max When E is>E max If the actual construction progress is different from the standard, and at this time, the actual measurement completion value of each project engineering quantity and the standard completion value of each project engineering quantity need to be judged, and if the actual measurement completion value of each project engineering quantity is different from the standard completion value of each project engineering quantity, the actual measurement completion value of each project engineering quantity needs to be judged, and if the actual measurement completion value of each project engineering quantity is different from the standard completion value of each project engineering quantity, the actual measurement completion value of each project engineering quantity is judged
Figure 897439DEST_PATH_IMAGE002
>
Figure 620545DEST_PATH_IMAGE003
If the project quantity completion value is far beyond the plan requirement, the project quantity completion value is completed in advance, and if the project quantity completion value is lower than the plan requirement, the progress is delayed; when E is less than or equal to E max And the project engineering quantity completion value is within the error range and belongs to normal progress. And after acquiring the progress state of each project, the progress analysis unit sends the progress state information of each project to the display terminal to feed back and display the result.
It should be noted that, for the construction of a construction site, the project is divided into multiple-level projects, and this embodiment exemplifies a first-level project and a second-level project, where the first-level project is a high-level project of the second-level project, and the second-level project is a preposition project of the first-level project, and the first-level project can be operated on the basis of the second-level project only after the second-level project is completely completed. Therefore, when the construction progress information is collected, it is possible that some projects are not yet planned and will also be affected by the progress of the preceding project, and the project level needs to be judged and then analyzed, that is, when the high-level project is not in the planned operation time, the progress analysis unit still needs to further judge the preceding project, and the specific analysis process is as follows:
dividing each item Pn into front items and high-level items, and setting the high-level item targets which are not started to be Pn, setting the front item targets to be Pn ', wherein the number of n is equal to the sum of the number of n and the number of n';
judging the state of the front project Pn 'of Pn, obtaining the exceeding project quantity of which the project quantity completion value is far beyond the plan requirement and the defect project quantity of which the project quantity completion value is lower than the plan requirement in the Pn', and sending the data to a project regulation and control unit. Meanwhile, according to the work efficiency eta n' of workers, whether the project vacancy of delayed completion can be made up by the pre-project completed in advance is judged, and because the work efficiency of the workers of each pre-project is different, the specific judgment method of the invention is as follows:
obtaining the number of workers exceeding or lacking the front project according to the formula p = Sn '/eta n',
in the formula, sn 'is the measured excess or absence of Pn'.
If the project quantity completion value in Pn' far exceeds the project requirement, the number of exceeding workers is larger than the number of the defect workers, the project quantity completion value of which is lower than the project requirement, the project vacancy delaying completion of the project can be made up, and otherwise, the project vacancy cannot be filled.
If the preceding project completed in advance can make up for the project vacancy of the delayed completion, the high-level project Pn of the preceding project can be normally performed, and otherwise, cannot be performed.
Therefore, according to the judgment and regulation of the front project Pn' of the high-level project Pn, the personnel allocation among the projects can be integrated and optimized in time, and meanwhile, each project and the whole project can be analyzed, and the progress condition of the construction project can be fully reflected.
As a further optimization improvement, since the progress speed of the construction project is not only related to the current construction state, but also related to future environmental factors, the analysis can only analyze the current construction progress state, and the risk state of the future construction is not clear, so that the future risk of the overall construction progress needs to be analyzed by combining environmental information, and the specific analysis process is as follows:
the environment information of the construction site acquired by the data acquisition unit comprises weather information, fund supply information and material supply information of the place where the construction project is located; the weather condition comprises temperature information and rainfall information, the number of high-temperature days in the future unit time can be judged through the temperature information, the number of rainfall days in the future unit time can be judged through the rainfall information, and the number of high-temperature days and the number of rainfall days are removed to judge whether the number of normal working days in the future unit time is within the designed standard threshold number of days, so that the influence of the future construction progress is judged and analyzed; the fund supply information refers to the reserve amount of the construction fund, and when the reserve amount of the construction fund is smaller than a designed standard threshold value, construction can not be normally carried out, so that certain influence is caused on the construction progress; the material supply information indicates whether the related construction material channel is normal, and if the supply of the construction material is lacked, the construction progress is influenced to a certain extent.
Therefore, after the environment analysis unit receives the environment information of the construction site acquired by the data acquisition unit, the environment influence analysis is carried out on the whole construction project;
respectively acquiring the information of the number of days in which the construction project cannot work in the whole future construction period, the information of the building fund reserve amount and the information of the building material supply amount, and respectively marking the information as d, f and w; and carrying out formulaic analysis on the construction project, and obtaining an external factor influence coefficient Q of the construction project according to a formula, wherein the specific formula is as follows:
Figure 434917DEST_PATH_IMAGE008
in the formula (I), the compound is shown in the specification,
Figure 850855DEST_PATH_IMAGE009
、
Figure 383467DEST_PATH_IMAGE010
、
Figure 910264DEST_PATH_IMAGE011
weight factor coefficients of the information of the number of days of failure to work, the information of the reserve volume of the construction fund and the information of the supply volume of the construction material are respectively, and 1 >
Figure 579142DEST_PATH_IMAGE010
＞
Figure 165981DEST_PATH_IMAGE009
＞
Figure 982628DEST_PATH_IMAGE011
。
It should be noted that, when the expression value of the external factor influence coefficient Q is larger, it indicates that the influence of the external factor on the construction progress is larger, and Q is larger than 0 and smaller than 1, so that the environment analysis unit obtains the external factor influence coefficient Q and then sends the external factor influence coefficient Q to the comprehensive analysis unit for comprehensive evaluation and analysis.
After receiving the external factor influence coefficient Q sent by the environment analysis unit and the error characteristic value E sent by the progress analysis unit, the comprehensive analysis unit multiplies the error characteristic value E by the external factor influence coefficient Q to obtain a risk coefficient K of the project under the external factor condition, and the specific formula is as follows:
K=E*Q
and comparing the risk coefficient K with a set threshold K, if the risk coefficient K is greater than the set threshold K, indicating that the item has no risk in the future, and if the risk coefficient K is less than the set threshold K, indicating that the item has risk in the future. Therefore, the progress risks of all projects are integrally analyzed, and the results are sent to the display terminal for feedback and display.
Example 2
The difference between embodiment 2 of the present invention and the above embodiments is that the above embodiments mainly introduce the engineering construction progress monitoring system based on the internet of things of the present invention, and the embodiment discloses an engineering construction progress monitoring method based on the internet of things of the present invention, as shown in fig. 2, the specific steps are as follows:
and S10, the data acquisition unit acquires construction progress information of each item of the construction site and environment information of the construction site and respectively sends the construction progress information and the environment information to the progress analysis unit and the environment analysis unit.
And step S20, the progress analysis unit and the environment analysis unit respectively evaluate and analyze the received construction progress information and the environment information where the construction site is located, calculate to obtain an error characteristic value E and an external factor influence coefficient Q, and send the error characteristic value E and the external factor influence coefficient Q to the comprehensive analysis unit for analysis.
And S30, judging whether the whole project has risks in the future or not by the comprehensive analysis unit according to the product of the error characteristic value E and the external factor influence coefficient Q.
As a further improvement, in step S20, a progress analysis unit is further included to react to the completion of each current construction progress according to the obtained error characteristic value E, and compare the error characteristic value E with a rated error threshold E max Comparing to determine whether the actual error characteristic value E is greater than the error threshold value E max When E is>E max If the actual construction progress is different from the standard, and at this time, the actual measurement completion value of each project engineering quantity and the standard completion value of each project engineering quantity need to be judged, and if the actual measurement completion value of each project engineering quantity is different from the standard completion value of each project engineering quantity, the actual measurement completion value of each project engineering quantity needs to be judged, and if the actual measurement completion value of each project engineering quantity is different from the standard completion value of each project engineering quantity, the actual measurement completion value of each project engineering quantity is judged
Figure 847203DEST_PATH_IMAGE002
>
Figure 636167DEST_PATH_IMAGE003
If the project quantity completion value is far beyond the plan requirement, the project quantity completion value is completed in advance, and if the project quantity completion value is lower than the plan requirement, the progress is delayed; when E is less than or equal to E max And the project engineering quantity completion value is within the error range and belongs to normal progress. After acquiring the progress state of each project, the progress analysis unit sends the progress state information of each project to a display terminal to feed back and display the result;
furthermore, the progress analysis unit divides each item Pn into a front item and a high-level item, and determines the high-level item target which is not operated as Pn, the front item target is Pn ', and the number of n is equal to the sum of the number of n and the number of n';
judging the state of the front project Pn 'of Pn, obtaining the exceeding project quantity of which the project quantity completion value is far beyond the plan requirement and the defect project quantity of which the project quantity completion value is lower than the plan requirement in the Pn', and sending the data to a project regulation and control unit. Meanwhile, according to the work efficiency eta n' of workers, whether the project vacancy of delayed completion can be made up by the pre-project completed in advance is judged, and because the work efficiency of the workers of each pre-project is different, the specific judgment method of the invention is as follows:
obtaining the number of workers exceeding or lacking the front project according to the formula p = Sn '/eta n',
if the project quantity completion value of the Pn' far exceeds the project requirement, the number of the exceeding workers is larger than the number of the defective workers, the project quantity completion value of the exceeding workers is smaller than the project requirement, the vacancy of the project with delayed completion of the project can be made up, and otherwise, the vacancy of the project with delayed completion of the project cannot be filled.
If the preceding project completed in advance can make up for the project vacancy of the delayed completion, the high-level project Pn of the preceding project can be normally performed, and otherwise, cannot be performed.
Therefore, according to the judgment and regulation of the front project Pn' of the high-grade project Pn, the personnel allocation among the projects can be integrated and optimized in time, and meanwhile, each project and the whole project can be analyzed, so that the progress condition of the construction project can be fully reflected.
It should be noted that the invention obtains the ambient temperature and rainfall information around the construction project in a period of time in the future in real time through the meteorological information issued by the meteorological bureau.
The above formulas are all obtained by collecting a large amount of data and performing software simulation, and the formula is selected to be close to the true value, and the coefficients in the formulas are set by the person skilled in the art according to the actual situation. Such as the formula:
Figure 393908DEST_PATH_IMAGE012
collecting multiple groups of sample data and setting corresponding weight factor coefficient for each group of sample data by the technicians in the field; substituting the set weight factor coefficient and the collected sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain the coefficient
Figure 635533DEST_PATH_IMAGE009
、
Figure 504132DEST_PATH_IMAGE010
、
Figure 209920DEST_PATH_IMAGE011
The value of (a).
The size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions described in accordance with the embodiments of the present application are produced in whole or in part when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
And finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.

Claims (3)

1. A project construction progress monitoring method based on the Internet of things is characterized by comprising the following steps:
step S10, a data acquisition unit acquires construction progress information of each item of a construction site and environment information of the construction site, and respectively sends the construction progress information and the environment information to a progress analysis unit and an environment analysis unit;
step S20, the progress analysis unit carries out evaluation analysis processing on the received construction progress information and calculates to obtain an error characteristic value E; the environment analysis unit carries out evaluation analysis processing on the received environment information of the construction site, and calculates to obtain an external factor influence coefficient Q; sending the error characteristic value E and the external factor influence coefficient Q to a comprehensive analysis unit for analysis;
s30, judging whether each construction project has risk in the future or not by the comprehensive analysis unit according to the product of the error characteristic value E and the external factor influence coefficient Q;
in step S20, when the progress analysis unit receives the current progress information of each project in the construction site collected by the data collection unit, the progress analysis unit performs directional evaluation analysis processing on the construction progress according to the information, and the specific analysis process is as follows:
dividing a construction site into n areas according to different project types, wherein n is a positive integer greater than or equal to 1, respectively obtaining n project schedules, defining each target as Pn, each project engineering quantity as Sn, each project planning time as Tn, establishing an actual measurement project schedule model according to each project planning time point and each project engineering quantity, and establishing the actual measurement project schedule model by adopting a polynomial curve fitting method, wherein the fitting curve adopts the following formula:
Figure 109127DEST_PATH_IMAGE001
in the formula, y is a normalized value of the project engineering quantity completion value, t is the proceeding duration of the project planning time, and t is greater than 0 and smaller than Tn; a. b and c are polynomial coefficients;
the progress analysis unit then calls the project engineering quantity completion values and the planning time standard engineering progress curve stored in the data storage unit, and the actually measured curve and the standard engineering progress curve are overlapped and compared, the time axis is used as a reference for superposition during comparison, and the project engineering quantity completion values on the actually measured curve are calibrated to be
Figure 698372DEST_PATH_IMAGE002
The project engineering quantity completion value of each project on the standard curve is calibrated to
Figure 9267DEST_PATH_IMAGE003
(ii) a And carrying out root mean square error evaluation analysis on project engineering quantity finished values under the corresponding time of the two curves according to a formula:
Figure 575115DEST_PATH_IMAGE004
and obtaining an error characteristic value E, wherein,
Figure 920646DEST_PATH_IMAGE005
in order to measure the parameters actually, the measurement parameters,
Figure 415213DEST_PATH_IMAGE006
the progress analysis unit acquires an error characteristic value E as a standard parameter and sends the error characteristic value E to the comprehensive analysis unit for comprehensive evaluation and analysis;
in step S20, the progress analysis unit further divides each item Pn into a front item and a high-level item, and determines the high-level item target that is not in operation as Pn ', where the front item target is Pn ', and the number of n is equal to the sum of the number of n and the number of n ';
judging the state of the front project Pn 'of Pn, acquiring the exceeding project quantity of which the project quantity completion value far exceeds the plan requirement and the defect project quantity of which the project quantity completion value is lower than the plan requirement in the Pn', and sending the data to a project regulation and control unit; meanwhile, according to the work efficiency eta n' of workers, whether the project vacancy of delayed completion can be made up by the pre-project completed in advance is judged, and the specific judgment method is as follows:
obtaining the number p of workers with the excess or lack of the front project according to the formula p = Sn '/η n',
wherein Sn 'is the measured excess or absence of Pn' in engineering quantities;
if the project quantity completion value in Pn' far exceeds the project requirement, the number of exceeding workers is larger than the number of defective workers, the project quantity completion value is lower than the project requirement, the vacancy of the project with delayed completion of work can be made up, otherwise, the vacancy cannot be filled;
if the project vacancy of delayed completion can be compensated by the front project completed in advance, the high-level project Pn of the front project can be normalized, otherwise, the high-level project Pn cannot be normalized;
the progress analysis unit sends information on whether the high-level item Pn can be normalized to the display terminal, and feeds back and displays the result.
2. The method for monitoring the engineering construction progress based on the Internet of things as claimed in claim 1, wherein the method comprises the following steps: in step S20, the progress analysis unit also compares the error characteristic value E with a nominal error threshold value E max Comparing to determine whether the actual error characteristic value E is greater than the error threshold value E max When E is>E max Judging the actually measured completion value of each project engineering quantity and the standard completion value of each project engineering quantity, if yes, judging whether the actually measured completion value of each project engineering quantity is equal to the standard completion value of each project engineering quantity
Figure 88770DEST_PATH_IMAGE002
>
Figure 287671DEST_PATH_IMAGE003
If the project quantity completion value is far beyond the plan requirement, the project quantity completion value is completed in advance, otherwise, the project quantity completion value is lower than the plan requirement, and the progress is delayed; when E is less than or equal to E max The project engineering quantity completion value is in the error rangeIn the enclosure, belonging to normal schedule;
and after acquiring the progress state of each project, the progress analysis unit sends the progress state information of each project to the display terminal to feed back and display the result.
3. An engineering construction progress monitoring system based on the internet of things is used for realizing the engineering construction progress monitoring method based on the internet of things as claimed in any one of the claims 1-2, and is characterized in that:
the system comprises a data acquisition unit, a data storage unit, a progress analysis unit, an environment analysis unit, a project regulation and control unit, a comprehensive analysis unit and a display terminal;
the data acquisition unit is used for acquiring construction progress information of each project of the construction site and environment information of the construction site, and respectively sending the construction progress information and the environment information to the progress analysis unit and the environment analysis unit;
the data storage unit is used for storing the standard engineering progress model and the fitting curve thereof, and recording and storing data acquired or processed and analyzed by other modules;
the progress analysis unit is used for analyzing each project and the whole project in the construction project after receiving the construction progress information to obtain the progress information of each project;
the environment analysis unit is used for receiving the environment information of the construction site and carrying out evaluation analysis processing to obtain the influence coefficient of external factors on the construction progress;
the project regulating and controlling unit is used for carrying out secondary deployment on the preposed project personnel according to the preposed project information sent by the progress analyzing unit so as to accelerate the overall progress of the construction project;
the comprehensive analysis unit is used for judging whether the progress of each construction project has risks in the future according to the information processed by the progress analysis unit and the environment analysis unit;
and the display terminal is used for displaying the information contents processed by the progress analysis unit, the environment analysis unit and the comprehensive analysis unit.
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