CN112070488A - Real-time progress management system for engineering construction project - Google Patents

Real-time progress management system for engineering construction project Download PDF

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CN112070488A
CN112070488A CN202010998971.5A CN202010998971A CN112070488A CN 112070488 A CN112070488 A CN 112070488A CN 202010998971 A CN202010998971 A CN 202010998971A CN 112070488 A CN112070488 A CN 112070488A
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谷敏
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MCC Southern Wuhan Engineering Consulting Management Co.,Ltd.
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Abstract

The invention discloses a real-time progress management system for an engineering construction project, which comprises an acquisition unit, a data processing unit, a database, a progress calculation unit, a construction period arrangement unit, a reminding unit and intelligent equipment, wherein the acquisition unit is used for acquiring a progress of the engineering construction project; the acquisition unit is used for acquiring project information related to engineering construction and transmitting the project information to the data processing unit; the data processing unit is used for sorting and marking the collected related data, and the progress calculation unit is used for calculating the data of the related data after sorting and marking, so that an influence value corresponding to the project period is obtained, the estimated days of the project period is calculated according to the influence value, the accuracy of data calculation is improved, the persuasion degree of the data is increased, the time consumed by analyzing the data is saved, and the working efficiency is improved.

Description

Real-time progress management system for engineering construction project
Technical Field
The invention relates to the technical field of project progress management, in particular to a real-time progress management system for an engineering construction project.
Background
Engineering construction is the basic economic activity of human civilization development, directly produces important influence to activities in the aspects such as politics, economy, culture, military affairs of human society, and engineering construction has received the high attention of governors of all countries since ancient times, adjusts it generally through legal means, and to the action wherein seriously harms country and society, even do not need to use the criminal law. In general, it is the way and means of regulating engineering construction activities and their social relationships that governors of various countries commonly use to make and execute economic laws. In China, the generation and development of special legal norms in engineering neck cities have a very long history. Just as the legal norms at each historical period reflect the degree of cognition of the human society with respect to the objective laws of the corresponding field at a particular historical stage, the engineering legal norms also reflect the degree of cognition of the human society with respect to the objective laws of the engineering field at a particular historical stage.
At present, for engineering construction, both parties set a project construction period and perform agreement or not according to the completion condition of the project construction period, but existing project schedules are manually analyzed and judged by experienced managers, so that the completion time of the project is estimated, uncertain factors exist, the project construction period is influenced, and losses in different aspects are caused to the parties signing the agreement.
Disclosure of Invention
The invention aims to provide a real-time schedule management system for an engineering construction project, which arranges and marks collected related data through a data processing unit, calculates the data of the related data after the arrangement and marking by a schedule calculating unit so as to obtain an influence value corresponding to the project construction period, calculates the estimated days of the project according to the influence value, increases the accuracy of data calculation, increases the persuasion force of the data, saves the time consumed by analyzing the data and improves the working efficiency, performs data matching on the monitored related data and the images stored in a database through the arrangement of the project construction period arranging unit, performs quantity statistics on the matched data, calculates the counted quantity and the estimated days of the data, judges the result of the calculation processing and the preset value, quickly judges the project construction period completion condition and quickly judges the schedule of the project, and the time-out of the construction period is avoided.
The purpose of the invention can be realized by the following technical scheme: a real-time progress management system for an engineering construction project comprises an acquisition unit, a data processing unit, a database, a progress calculation unit, a construction period arrangement unit, a reminding unit and intelligent equipment;
the acquisition unit is used for acquiring project information related to engineering construction and transmitting the project information to the data processing unit;
the data processing unit acquires the record information from the database, processes the record information and the project information together to obtain the number data of the recorded people, the recording time data, the clear day data, the rainy day data, the total amount data, the completion amount data, the number data of the staff, the clear day data, the rainy day data and the number data, and transmits the number data of the recorded people, the recording time data, the clear day data, the rainy day data and the number data to the progress calculating unit;
the progress calculation unit is used for carrying out progress analysis operation on the data of the number of people to be recorded, the data of the time to be recorded, the data of the sunny day to be recorded, the data of the rainy day to be recorded, the data of the total amount to be recorded, the data of the finished amount, the data of the number of staff to be recorded, the data of the sunny day, the data of the rainy day and the data of days to be recorded together to obtain data of estimated;
the monitoring unit is also used for monitoring image information related to daily worker change and transmitting the image information to the construction period arranging unit;
the system comprises a database, a construction period arrangement unit, a reminding unit, a warning unit and an intelligent device, wherein the database also stores worker face data and corresponding worker identity information, the construction period arrangement unit acquires the worker face data and the corresponding worker identity information from the database, carries out construction period judgment operation on the worker face data, the image information and the expected day data together to obtain an overtime signal and a normal signal, and transmits the overtime signal and the normal signal to the reminding unit and the intelligent device respectively;
the reminding unit receives the overtime signal and the normal signal and identifies the overtime signal and the normal signal, when the overtime signal is identified, the overtime signal is converted into an alarm signal and an alarm is sent out, and when the normal signal is identified, the signal conversion is not carried out;
the intelligent equipment is used for displaying the overtime signal and the normal signal and reminding a manager.
As a further improvement of the invention: the specific operation process of the processing operation is as follows:
the method comprises the following steps: acquiring recording information, calibrating the number of workers recorded in the recording information as recording people number data, marking the recording people number data as JRi, wherein i is 1,2,3.. n1, calibrating the working days of the workers recorded in the recording information as recording time length data, and the recording time data is marked as JSi, i 1,2,3.. No. n1, the sunny days in the weather recorded in the recording time data are marked as the recording sunny day data, and the recorded sunny day data is marked as JQi, i 1,2,3.. n1, the rainy days in the weather recorded in the sunny day data is marked as the recorded rainy day data, and the recorded rain data is marked JYi, i 1,2,3.. n1, the total workload recorded therein is marked as total volume of records data, and the total amount of records data is marked as JZi, i 1,2,3.. n 1;
step two: acquiring project information, marking total work volume of projects therein as total volume data, marking total volume data as ZLl, l 1,2,3.. n2, marking project completion volume of projects therein as completion volume data, marking completion volume data as WLl, l 1,2,3.. n2, marking number of employees of projects each day therein as employee number data, marking employee number data as GSl, l 1,2,3.. n2, marking clear weather implemented by projects therein as clear weather data, marking clear weather data as QTl, l 1,2,3.. n2, marking rainy weather implemented by projects therein as rainy weather data, marking rainy weather data as YTl, l 1,2,3.. n2, marking rainy weather data as project days implemented therein as project days data, and the day data is labeled TSl, 1,2,3.
As a further improvement of the invention: the specific operation process of the progress analysis operation is as follows:
k1: acquiring data of a recorded sunny day and data of a recorded rainy day, extracting corresponding data of the number of people to be recorded, data of recording time and data of the total amount of recorded people according to the data, marking the data of the number of people to be recorded, the data of the recording time and the data of the total amount of recorded people corresponding to the data of the recorded sunny day as JR1, JS1 and JZ1, marking the data of the number of people to be recorded, the data of the recording time and the data of the total amount of recorded people corresponding to the data of the recorded rainy day as JR2, JS3 and JZ3, and bringing the data of the number of people to be recorded, the data of the recording time and the data of: the method comprises the following steps of calculating personal work efficiency corresponding to data of recording sunny days and data of recording rainy days by the aid of personal work efficiency data of workload/data of recording time/data of recording number of people, and bringing the personal work efficiency into a difference calculation formula to calculate an efficiency difference, wherein the efficiency difference is the personal work efficiency of recording sunny days, the personal work efficiency of recording cloudy days, the recorded sunny days and cloudy days are extracted, and the recorded sunny days and cloudy days are brought into the calculation formula together with the efficiency difference: recording the number of days in a clear day/(recording the number of days in a clear day + recording the number of days in a cloudy day), and calculating the influence factor in the cloudy day according to a calculation method of the influence factor in the clear day;
k2: acquiring clear day data and cloudy day data, counting the days of the clear day and the cloudy day, and respectively marking the days of the clear day and the cloudy day as TQl and TYl;
k3: acquiring the completion quantity data, the employee quantity data and the day data, extracting the clear day days and the cloudy day days in the K2, and bringing the clear day days and the cloudy day days into a calculation formula together with the completion quantity data, the employee quantity data and the day data:
Figure BDA0002693539620000041
wherein, VGo toThe work efficiency expressed as the completion number, i.e., the completion work efficiency, u1 is expressed as a sunny day influence factor, u2 is expressed as a cloudy day influence factor, and e is expressed as an error repair influence factor;
k4: acquiring total data and finished quantity data, and bringing the total data and the finished quantity data into a difference value calculation formula to calculate residual data, wherein the residual data is total data-finished quantity data;
k5: and extracting the finishing work efficiency in the K3 and the residual data in the K4, and bringing the data, the staff number data and the cloudy day influence factors into a calculation formula:
Figure BDA0002693539620000051
thereby calculating the predicted days data TSkyWherein S isThe residue is leftExpressed as remaining amount data, r1 is expressed as a man-hour deviation adjustment factor.
As a further improvement of the invention: the specific operation process of the construction period judgment operation comprises the following steps:
h1: the method comprises the following steps of acquiring image information and worker face data, and matching the image information and the worker face data, specifically: when the matching result of the image information and the face data of the worker is consistent, judging that the corresponding worker exists in the image information, and generating an existence signal;
h2: extracting the existing signal and the negative signal, identifying the existing signal and the negative signal, extracting the identity information of the worker corresponding to the face data of the worker when the existing signal is identified, and not extracting the identity information of the worker when the error signal is identified;
h3: acquiring the extracted worker identity information in the H2, identifying the number of different workers corresponding to the worker identity information, calibrating the number of different workers as the real-time monitoring number, and bringing the real-time monitoring number into a calculation formula:
Figure BDA0002693539620000052
wherein E isJlExpressed as the average of the daily real-time monitored quantities, i.e. the real-time monitored quantity average, Jl is expressed as the real-time monitored quantity, l ═ 1,2,3.. n 2;
h4: acquiring real-time monitoring quantity average value and staff quantity data, and bringing the real-time monitoring quantity average value and the staff quantity data into a staff difference value calculation formula together to calculate a change difference value, wherein the staff difference value calculation formula is as follows: changing the difference value, namely monitoring the quantity average value-staff quantity data in real time, and bringing the changed difference value and the staff quantity data into a calculation formula: changing the ratio, namely changing the difference value/employee quantity data;
h5: and acquiring a change ratio value, and bringing the change ratio value and the expected day data into a calculation formula: t isMeter＝TSky(1-zb) g, wherein, TMeterExpressed as calculation day data, zb is expressed as change ratio value, and g is expressed as influence factor of the change ratio value on the predicted day data;
h6: setting a preset value M7 for the number of days, and combining the preset value with the data of the number of days to be calculatedComparing, specifically comprising: when T isMeterIf the time is more than M7, the time-out time of the project is judged to be overtime, a time-out signal is generated, and when T is greater than TMeterWhen the time is less than or equal to M7, the project completion time is judged not to be overtime, and a normal signal is generated.
As a further improvement of the invention: the intelligent device is specifically a tablet computer.
The invention has the beneficial effects that:
(1) collecting project information related to engineering construction through a collecting unit, and transmitting the project information to a data processing unit; the data processing unit acquires the recorded information from the database, processes the recorded information and the project information together to obtain recorded people number data, recorded time data, recorded sunny day data, recorded rainy day data, recorded total amount data, finished amount data, staff number data, sunny day data, rainy day data and day number data, and transmits the recorded people number data, the recorded time data, the recorded sunny day data, the recorded total amount data, the finished amount data, the staff number data, the sunny day data, the recorded rainy day data and; the progress calculation unit performs progress analysis operation on the data of the number of people to be recorded, the data of the time to be recorded, the data of clear days to be recorded, the data of rainy days to be recorded, the data of total amount to be recorded, the data of finished amount, the data of the number of staff to be recorded, the data of clear days, the data of rainy days and the data of days to be recorded together to obtain data of estimated days, the data processing unit sorts and marks the collected related data, the progress calculation unit performs data calculation on the sorted and marked related data to obtain influence values corresponding to project construction periods, the estimated days to be constructed are calculated according to the influence values, accuracy of data calculation is improved, persuasion of the data is improved, time consumed by analyzing the data.
(2) Monitoring image information related to daily worker change through a monitoring unit, and transmitting the image information to a construction period arranging unit; the construction period arrangement unit acquires worker face data and corresponding worker identity information from the database, performs construction period judgment operation on the data, the image information and the expected days data together to obtain an overtime signal and a normal signal, and transmits the overtime signal and the normal signal to the reminding unit and the intelligent equipment respectively; the reminding unit receives the overtime signal and the normal signal and identifies the overtime signal and converts the overtime signal into an alarm signal and gives an alarm when the overtime signal is identified, the signal conversion is not carried out when the normal signal is identified, data matching is carried out on monitored related data and images stored in a database through the setting of the construction period arranging unit, the number of the matched data is counted, the counted number and the predicted days data are calculated and processed, the result of the calculation and the preset value are judged, the construction period completion condition of the project is judged quickly, the progress of the project is judged quickly, and the construction period overtime is avoided.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
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.
Referring to fig. 1, the invention relates to a real-time progress management system for an engineering construction project, which is characterized by comprising an acquisition unit, a data processing unit, a database, a progress calculation unit, a construction period arrangement unit, a reminding unit and intelligent equipment;
the acquisition unit is used for acquiring project information related to engineering construction and transmitting the project information to the data processing unit;
the data processing unit acquires the record information from the database and processes the record information and the project information together, and the specific operation process of the processing operation is as follows:
the method comprises the following steps: acquiring recording information, calibrating the number of workers recorded in the recording information as recording people number data, marking the recording people number data as JRi, wherein i is 1,2,3.. n1, calibrating the working days of the workers recorded in the recording information as recording time length data, and the recording time data is marked as JSi, i 1,2,3.. No. n1, the sunny days in the weather recorded in the recording time data are marked as the recording sunny day data, and the recorded sunny day data is marked as JQi, i 1,2,3.. n1, the rainy days in the weather recorded in the sunny day data is marked as the recorded rainy day data, and the recorded rain data is marked JYi, i 1,2,3.. n1, the total workload recorded therein is marked as total volume of records data, and the total amount of records data is marked as JZi, i 1,2,3.. n 1;
step two: acquiring project information, marking total work volume of projects therein as total volume data, marking total volume data as ZLl, l 1,2,3.. n2, marking project completion volume of projects therein as completion volume data, marking completion volume data as WLl, l 1,2,3.. n2, marking number of employees of projects each day therein as employee number data, marking employee number data as GSl, l 1,2,3.. n2, marking clear weather implemented by projects therein as clear weather data, marking clear weather data as QTl, l 1,2,3.. n2, marking rainy weather implemented by projects therein as rainy weather data, marking rainy weather data as YTl, l 1,2,3.. n2, marking rainy weather data as project days implemented therein as project days data, and the day data is labeled TSl, l 1,2,3.. No. n 2;
step three: extracting the data of the number of people to be recorded, the data of the recording time, the data of the sunny day, the data of the rainy day, the data of the total amount to be recorded, the data of the completion amount, the data of the number of employees, the data of the sunny day, the data of the rainy day and the data of the number of days in the first step and the second step, and transmitting the data of the number of people to the progress calculation unit;
the progress calculation unit is used for performing progress analysis operation on the data of the number of people to be recorded, the data of the time to be recorded, the data of sunny days to be recorded, the data of rainy days to be recorded, the data of total amount to be recorded, the data of the finished amount to be recorded, the data of the number of staff to be recorded, the data of sunny days, the data of rainy days and the data of days, and the specific operation process of the:
k1: acquiring data of a recorded sunny day and data of a recorded rainy day, extracting corresponding data of the number of people to be recorded, data of recording time and data of the total amount of recorded people according to the data, marking the data of the number of people to be recorded, the data of the recording time and the data of the total amount of recorded people corresponding to the data of the recorded sunny day as JR1, JS1 and JZ1, marking the data of the number of people to be recorded, the data of the recording time and the data of the total amount of recorded people corresponding to the data of the recorded rainy day as JR2, JS3 and JZ3, and bringing the data of the number of people to be recorded, the data of the recording time and the data of: the method comprises the following steps of calculating personal work efficiency corresponding to data of recording sunny days and data of recording rainy days by the aid of personal work efficiency data of workload/data of recording time/data of recording number of people, and bringing the personal work efficiency into a difference calculation formula to calculate an efficiency difference, wherein the efficiency difference is the personal work efficiency of recording sunny days, the personal work efficiency of recording cloudy days, the recorded sunny days and cloudy days are extracted, and the recorded sunny days and cloudy days are brought into the calculation formula together with the efficiency difference: recording the number of days in a clear day/(recording the number of days in a clear day + recording the number of days in a cloudy day), and calculating the influence factor in the cloudy day according to a calculation method of the influence factor in the clear day;
k2: acquiring clear day data and cloudy day data, counting the days of the clear day and the cloudy day, and respectively marking the days of the clear day and the cloudy day as TQl and TYl;
k3: acquiring the completion quantity data, the employee quantity data and the day data, extracting the clear day days and the cloudy day days in the K2, and bringing the clear day days and the cloudy day days into a calculation formula together with the completion quantity data, the employee quantity data and the day data:
Figure BDA0002693539620000091
wherein, VGo toThe work efficiency expressed as the completion number, i.e., the completion work efficiency, u1 is expressed as a sunny day influence factor, u2 is expressed as a cloudy day influence factor, and e is expressed as an error repair influence factor;
k4: acquiring total data and finished quantity data, and bringing the total data and the finished quantity data into a difference value calculation formula to calculate residual data, wherein the residual data is total data-finished quantity data;
k5: extraction of work efficiency of completion in the above K3And residual data in K4, and this is brought into the calculation along with employee quantity data and cloudy day influence factors:
Figure BDA0002693539620000092
thereby calculating the predicted days data TSkyWherein S isThe residue is leftExpressed as remaining amount data, r1 is expressed as a man-hour deviation adjustment factor;
k6: transmitting the data of the estimated days to a construction period arranging unit;
the monitoring unit is also used for monitoring image information related to daily worker change and transmitting the image information to the construction period arranging unit;
the system comprises a database, a construction period sorting unit, a construction period judging unit and a construction period judging unit, wherein the database also stores worker face data and corresponding worker identity information, the construction period sorting unit acquires the worker face data and the corresponding worker identity information from the database and carries out construction period judging operation together with image information and expected days data, and the specific operation process of the construction period judging operation is as follows:
h1: the method comprises the following steps of acquiring image information and worker face data, and matching the image information and the worker face data, specifically: when the matching result of the image information and the face data of the worker is consistent, judging that the corresponding worker exists in the image information, and generating an existence signal;
h2: extracting the existing signal and the negative signal, identifying the existing signal and the negative signal, extracting the identity information of the worker corresponding to the face data of the worker when the existing signal is identified, and not extracting the identity information of the worker when the error signal is identified;
h3: acquiring the extracted worker identity information in the H2, identifying the number of different workers corresponding to the worker identity information, calibrating the number of different workers as the real-time monitoring number, and bringing the real-time monitoring number into a calculation formula:
Figure BDA0002693539620000101
wherein E isJlExpressed as the average of the number monitored in real time per day,i.e. the real-time monitored quantity mean, Jl is denoted as the real-time monitored quantity, l ═ 1,2,3.. n 2;
h4: acquiring real-time monitoring quantity average value and staff quantity data, and bringing the real-time monitoring quantity average value and the staff quantity data into a staff difference value calculation formula together to calculate a change difference value, wherein the staff difference value calculation formula is as follows: changing the difference value, namely monitoring the quantity average value-staff quantity data in real time, and bringing the changed difference value and the staff quantity data into a calculation formula: changing the ratio, namely changing the difference value/employee quantity data;
h5: and acquiring a change ratio value, and bringing the change ratio value and the expected day data into a calculation formula: t isMeter＝TSky(1-zb) g, wherein, TMeterExpressed as calculation day data, zb is expressed as change ratio value, and g is expressed as influence factor of the change ratio value on the predicted day data;
h6: setting a preset value M7 of the specified days, and comparing the preset value M7 with the data of the calculated days, wherein the specific steps are as follows: when T isMeterIf the time is more than M7, the time-out time of the project is judged to be overtime, a time-out signal is generated, and when T is greater than TMeterWhen the time is less than or equal to M7, judging that the project completion time is not overtime, and generating a normal signal;
h7: respectively transmitting the overtime signal and the normal signal to a reminding unit and intelligent equipment;
the reminding unit receives the overtime signal and the normal signal and identifies the overtime signal and the normal signal, when the overtime signal is identified, the overtime signal is converted into an alarm signal and an alarm is sent out, and when the normal signal is identified, the signal conversion is not carried out;
the intelligent device is used for displaying the overtime signal and the normal signal and reminding a manager, and is specifically a tablet computer.
When the system works, project information related to engineering construction is acquired through the acquisition unit, and the project information is transmitted to the data processing unit; the data processing unit acquires the record information from the database, processes the record information and the project information together to obtain the number data of the recorded people, the recording time data, the sunny data, the rainy data, the total data, the completion data, the number data of the staff, the sunny data, the rainy data and the number data, and transmits the number data of the recorded people, the recording time data, the sunny data, the rainy data and the number data to the progress calculating unit; the progress calculation unit performs progress analysis operation on the recorded people number data, the recorded time data, the recorded clear day data, the recorded rainy day data, the recorded total amount data, the finished amount data, the staff number data, the clear day data, the rainy day data and the day data together to obtain predicted day data, and transmits the predicted day data to the construction period arrangement unit; the monitoring unit also monitors image information related to daily worker change and transmits the image information to the construction period arranging unit; the data base also stores worker face data and corresponding worker identity information, the construction period arrangement unit obtains the worker face data and the corresponding worker identity information from the data base, and carries out construction period judgment operation on the worker face data and the corresponding worker identity information together with the image information and the expected days data to obtain an overtime signal and a normal signal, and respectively transmits the overtime signal and the normal signal to the reminding unit and the intelligent equipment; the reminding unit receives the overtime signal and the normal signal, identifies the overtime signal and the normal signal, converts the overtime signal into an alarm signal and sends out an alarm when identifying the overtime signal, and does not convert the signal when identifying the normal signal; the intelligent equipment displays the overtime signal and the normal signal and reminds a manager.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (5)

1. A real-time progress management system for an engineering construction project is characterized by comprising a collecting unit, a data processing unit, a database, a progress calculating unit, a monitoring unit, a construction period arranging unit, a reminding unit and intelligent equipment;
the acquisition unit is used for acquiring project information related to engineering construction and transmitting the project information to the data processing unit;
the data processing unit acquires the record information from the database, processes the record information and the project information together to obtain the number data of the recorded people, the recording time data, the clear day data, the rainy day data, the total amount data, the completion amount data, the number data of the staff, the clear day data, the rainy day data and the number data, and transmits the number data of the recorded people, the recording time data, the clear day data, the rainy day data and the number data to the progress calculating unit;
the progress calculation unit is used for carrying out progress analysis operation on the data of the number of people to be recorded, the data of the time to be recorded, the data of the sunny day to be recorded, the data of the rainy day to be recorded, the data of the total amount to be recorded, the data of the finished amount, the data of the number of staff to be recorded, the data of the sunny day, the data of the rainy day and the data of days to be recorded together to obtain data of estimated;
the monitoring unit is used for monitoring image information related to daily worker change and transmitting the image information to the construction period arranging unit;
the system comprises a database, a construction period arrangement unit, a reminding unit, a warning unit and an intelligent device, wherein the database also stores worker face data and corresponding worker identity information, the construction period arrangement unit acquires the worker face data and the corresponding worker identity information from the database, carries out construction period judgment operation on the worker face data, the image information and the expected day data together to obtain an overtime signal and a normal signal, and transmits the overtime signal and the normal signal to the reminding unit and the intelligent device respectively;
the reminding unit receives the overtime signal and the normal signal and identifies the overtime signal and the normal signal, when the overtime signal is identified, the overtime signal is converted into an alarm signal and an alarm is sent out, and when the normal signal is identified, the signal conversion is not carried out;
the intelligent equipment is used for displaying the overtime signal and the normal signal and reminding a manager.
2. The real-time progress management system for the engineering construction project according to claim 1, wherein the specific operation process of the processing operation is as follows:
the method comprises the following steps: acquiring recording information, calibrating the number of workers recorded in the recording information as recording people number data, marking the recording people number data as JRi, wherein i is 1,2,3.. n1, calibrating the working days of the workers recorded in the recording information as recording time length data, and the recording time data is marked as JSi, i 1,2,3.. No. n1, the sunny days in the weather recorded in the recording time data are marked as the recording sunny day data, and the recorded sunny day data is marked as JQi, i 1,2,3.. n1, the rainy days in the weather recorded in the sunny day data is marked as the recorded rainy day data, and the recorded rain data is marked JYi, i 1,2,3.. n1, the total workload recorded therein is marked as total volume of records data, and the total amount of records data is marked as JZi, i 1,2,3.. n 1;
step two: acquiring project information, marking total work volume of projects therein as total volume data, marking total volume data as ZLl, l 1,2,3.. n2, marking project completion volume of projects therein as completion volume data, marking completion volume data as WLl, l 1,2,3.. n2, marking number of employees of projects each day therein as employee number data, marking employee number data as GSl, l 1,2,3.. n2, marking clear weather implemented by projects therein as clear weather data, marking clear weather data as QTl, l 1,2,3.. n2, marking rainy weather implemented by projects therein as rainy weather data, marking rainy weather data as YTl, l 1,2,3.. n2, marking rainy weather data as project days implemented therein as project days data, and the day data is labeled TSl, 1,2,3.
3. The real-time progress management system for the engineering construction project according to claim 1, wherein the specific operation process of the progress analysis operation is as follows:
k1: acquiring data of a recorded sunny day and data of a recorded rainy day, extracting corresponding data of the number of people to be recorded, data of recording time and data of the total amount of recorded people according to the data, marking the data of the number of people to be recorded, the data of the recording time and the data of the total amount of recorded people corresponding to the data of the recorded sunny day as JR1, JS1 and JZ1, marking the data of the number of people to be recorded, the data of the recording time and the data of the total amount of recorded people corresponding to the data of the recorded rainy day as JR2, JS3 and JZ3, and bringing the data of the number of people to be recorded, the data of the recording time and the data of: the method comprises the following steps of calculating personal work efficiency corresponding to data of recording sunny days and data of recording rainy days by the aid of personal work efficiency data of workload/data of recording time/data of recording number of people, and bringing the personal work efficiency into a difference calculation formula to calculate an efficiency difference, wherein the efficiency difference is the personal work efficiency of recording sunny days, the personal work efficiency of recording cloudy days, the recorded sunny days and cloudy days are extracted, and the recorded sunny days and cloudy days are brought into the calculation formula together with the efficiency difference: recording the number of days in a clear day/(recording the number of days in a clear day + recording the number of days in a cloudy day), and calculating the influence factor in the cloudy day according to a calculation method of the influence factor in the clear day;
k2: acquiring clear day data and cloudy day data, counting the days of the clear day and the cloudy day, and respectively marking the days of the clear day and the cloudy day as TQl and TYl;
k3: acquiring the completion quantity data, the employee quantity data and the day data, extracting the clear day days and the cloudy day days in the K2, and bringing the clear day days and the cloudy day days into a calculation formula together with the completion quantity data, the employee quantity data and the day data:
Figure FDA0002693539610000031
wherein, VGo toThe work efficiency expressed as the completion number, i.e., the completion work efficiency, u1 is expressed as a sunny day influence factor, u2 is expressed as a cloudy day influence factor, and e is expressed as an error repair influence factor;
k4: acquiring total data and finished quantity data, and bringing the total data and the finished quantity data into a difference value calculation formula to calculate residual data, wherein the residual data is total data-finished quantity data;
k5: and extracting the finishing work efficiency in the K3 and the residual data in the K4, and bringing the data, the staff number data and the cloudy day influence factors into a calculation formula:
Figure FDA0002693539610000032
thereby calculating the predicted days data TSkyWherein S isThe residue is leftExpressed as residual amount data, r1 is expressed asA man-hour offset adjustment factor.
4. The real-time progress management system for the engineering construction project according to claim 1, wherein the specific operation process of the construction period judgment operation is as follows:
h1: the method comprises the following steps of acquiring image information and worker face data, and matching the image information and the worker face data, specifically: when the matching result of the image information and the face data of the worker is consistent, judging that the corresponding worker exists in the image information, and generating an existence signal;
h2: extracting the existing signal and the negative signal, identifying the existing signal and the negative signal, extracting the identity information of the worker corresponding to the face data of the worker when the existing signal is identified, and not extracting the identity information of the worker when the error signal is identified;
h3: acquiring the extracted worker identity information in the H2, identifying the number of different workers corresponding to the worker identity information, calibrating the number of different workers as the real-time monitoring number, and bringing the real-time monitoring number into a calculation formula:
Figure FDA0002693539610000041
wherein E isJlExpressed as the average of the daily real-time monitored quantities, i.e. the real-time monitored quantity average, Jl is expressed as the real-time monitored quantity, l ═ 1,2,3.. n 2;
h4: acquiring real-time monitoring quantity average value and staff quantity data, and bringing the real-time monitoring quantity average value and the staff quantity data into a staff difference value calculation formula together to calculate a change difference value, wherein the staff difference value calculation formula is as follows: changing the difference value, namely monitoring the quantity average value-staff quantity data in real time, and bringing the changed difference value and the staff quantity data into a calculation formula: changing the ratio, namely changing the difference value/employee quantity data;
h5: and acquiring a change ratio value, and bringing the change ratio value and the expected day data into a calculation formula: t isMeter＝TSky(1-zb) g, wherein, TMeterExpressed as calculated days data, zb as change fraction, g as changeInfluence factors of the variable proportion value on the data of the expected days;
h6: setting a preset value M7 of the specified days, and comparing the preset value M7 with the data of the calculated days, wherein the specific steps are as follows: when T isMeterIf the time is more than M7, the time-out time of the project is judged to be overtime, a time-out signal is generated, and when T is greater than TMeterWhen the time is less than or equal to M7, the project completion time is judged not to be overtime, and a normal signal is generated.
5. The real-time progress management system for the engineering construction project according to claim 1, wherein the intelligent device is a tablet computer.
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