CN113407651A - Progress information feedback and deviation real-time display method - Google Patents

Progress information feedback and deviation real-time display method Download PDF

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CN113407651A
CN113407651A CN202110754122.XA CN202110754122A CN113407651A CN 113407651 A CN113407651 A CN 113407651A CN 202110754122 A CN202110754122 A CN 202110754122A CN 113407651 A CN113407651 A CN 113407651A
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贾正芒
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Abstract

The invention provides a method for feeding back progress information and displaying deviation in real time, which comprises the following steps: automatically acquiring progress data based on construction data of the engineering construction project; acquiring a schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the schedule; comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project and displaying the progress front edge; the method is used for carrying out structured storage on the data on the basis of realizing automatic, accurate and comprehensive collection of the engineering data, and automatically reflecting the data to a cross-road map conforming to an engineering progress management mode for display so as to solve the problems that the data is only input by personnel and the progress data is not fed back timely or accurately at present.

Description

Progress information feedback and deviation real-time display method
Technical Field
The invention relates to the technical field of display methods, in particular to a method for displaying progress information feedback and deviation in real time.
Background
At present, with the urgent needs of rapid development of big data, intellectualization, cloud computing and internet technology and informatization conversion of the building industry, the demands of fine management and remote supervision of engineering projects are more and more emphasized. However, the current engineering project management mode is more traditional, and data in the engineering construction process is not comprehensively collected and effectively utilized. Still what adopt to the data in the construction process is the mode of manual record, artifical statistics summary, and work efficiency is not high, and data utilization is low.
The project progress is taken as a key management and control link in project management and is highly emphasized by project participating parties. The progress of the project is generally represented by a crosswalk diagram, a network diagram and the like. Meanwhile, the progress of the project is synchronously accompanied by the filling and signing of relevant acceptance data, namely, in the whole construction process, the construction acceptance of each procedure can form a corresponding data file. However, the method is limited to the recording mode of the current paper file, and the progress data information in the data is not structurally stored, so that the progress plan of the project cannot be automatically reflected and displayed through the progress data.
The current progress display adopts a mode of manually inputting progress data, the data acquisition of the mode is not automated, the accuracy degree of the data is singly dependent on the accuracy degree of data input personnel of a construction unit, and the data is not authenticated and confirmed by a project supervision unit.
Disclosure of Invention
The invention provides a real-time progress information feedback and deviation display method, which is used for carrying out structured storage on data on the basis of automatic, accurate and comprehensive collection of engineering data and automatically reflecting the data to a cross-road map conforming to an engineering progress management mode for display so as to solve the problems that the data is only input by personnel and the progress data is not fed back timely or accurately at present.
The invention provides a method for feeding back progress information and displaying deviation in real time, which comprises the following steps:
s1: automatically acquiring progress data based on construction data of the engineering construction project;
s2: acquiring a schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the schedule;
s3: and comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and displaying.
Preferably, the method for displaying the progress information feedback and the deviation in real time includes, in S1: construction data based on engineering construction project, automatic acquisition progress data includes:
based on a preset judgment rule, preliminarily judging the qualification of the construction data;
when the construction data are judged to be qualified in the initial step, outputting an instruction to remind a worker to carry out secondary judgment on the construction data;
and when the construction data is judged to be in accordance with the construction progress of the engineering entity for the second time, carrying out structured storage on the data information in the construction data to be used as progress data.
Preferably, the method for feedback of progress information and real-time display of deviation further includes, before preliminarily determining the eligibility of the construction data based on a preset determination rule:
receiving an externally input engineering data table, and determining a distribution mode of data types in the engineering data table;
determining an initial data type in the engineering data table based on the distribution mode;
reading the construction data in the engineering data table based on the initial data category;
judging whether the construction data is in an effective data range of a corresponding data type, and if so, storing the construction data in a structured manner;
otherwise, tracking the row data and the column data of the construction data exceeding the corresponding effective data range based on a preset data tracking algorithm;
determining a secondary data type of the construction data beyond a corresponding effective data range based on the tracking result, and updating the corresponding effective data range if the secondary data type is consistent with the initial data type;
if the secondary data type is inconsistent with the initial data type, judging whether the construction data beyond the corresponding effective data range is in the effective data range corresponding to the secondary data type, and if so, storing the construction data in a structured mode;
otherwise, outputting an instruction to remind external personnel to judge the construction data beyond the corresponding effective data range, and receiving a feedback result input from the outside;
updating the engineering data table and the corresponding effective data range according to the feedback result;
performing secondary reading on the construction data based on the updated engineering data table and the effective data range;
and meanwhile, preliminarily judging whether the construction data are qualified or not based on a preset judgment rule.
Preferably, the method for feeding back the progress information and displaying the deviation in real time outputs an instruction to remind a worker to perform secondary judgment on the construction data, and includes:
correspondingly associating the progress data with corresponding progress data confirmation instructions in a preset progress data confirmation instruction library one by one;
automatically generating a confirmation process of the engineering construction project based on a preset process requirement;
based on the confirmation process of the engineering construction project, simultaneously sending a first progress data confirmation instruction and progress data corresponding to the first progress data confirmation instruction to two clients, and receiving confirmation results;
when first confirmation results from the two clients are received, whether the confirmation results of the two clients are consistent or not is judged, if yes, the corresponding progress data are judged to be consistent with the construction progress of the engineering entity, and meanwhile, a second progress data confirmation instruction and the progress data corresponding to the second progress data confirmation instruction are sent to the two clients at the same time until all the progress data are confirmed;
and if not, outputting an instruction to remind the staff that the corresponding progress data are not in accordance with the construction progress of the engineering entity, and simultaneously sending a second progress data confirmation instruction and the progress data corresponding to the second progress data confirmation instruction to the two clients simultaneously until the progress data are completely confirmed.
Preferably, the method for real-time displaying the progress information feedback and the deviation performs structured storage on the data information in the construction data, and includes:
after all the progress data are confirmed, cleaning and filtering all the progress data to obtain effective progress data of the engineering construction project;
inputting the effective progress data into a preset classification model for autonomous classification, and storing the classified effective progress data to a cloud data end one by one according to a classification result;
when an external input modification instruction is input, analyzing the effective progress data to obtain the representation of each data record in the effective progress data, wherein the representation comprises: total length of data, number of blocks, field length, and field order;
determining a primary key name corresponding to each data record based on the characterization;
determining a primary key value of each data record based on a preset determination algorithm, and obtaining a corresponding first hash value based on the primary key value;
analyzing an externally input modification instruction to obtain a second hash value corresponding to the data needing to be modified;
determining the line of the source data record corresponding to the modified data by taking the second hash value as a main index;
taking the number of base pointers and the unique identifier of the source data record as a secondary index, determining the specific position of the source data record based on the row of the source data record, and performing data replacement;
and recording the progress data modification record, and storing the progress data modification record to a modification record database of the cloud data end.
Preferably, the method for displaying the progress information feedback and the deviation in real time includes, in S2: acquiring a planned schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the planned schedule, wherein the engineering schedule crosswalk graph comprises:
acquiring progress plan information of the engineering construction project;
acquiring a corresponding progress plan project based on the progress plan information, secondarily classifying the classified effective progress data stored in the cloud data terminal according to the project, and matching the secondarily classified effective progress data with the progress plan project;
processing the matched effective progress data based on the progress plan project to obtain project progress data;
and generating a project progress crosswalk graph based on the project progress data.
Preferably, the method for displaying the progress information feedback and the deviation in real time includes, in S3: comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and the progress front edge comprises the following steps:
acquiring corresponding planned schedule data based on the schedule information;
comparing project progress data with the plan progress data in real time based on the progress plan project, and determining progress deviation data;
generating a progress front edge based on the progress deviation data, and then, further comprising:
constructing an error reason judgment model;
acquiring a data code corresponding to the progress deviation data, inputting the corresponding data code to the error reason judgment model, and acquiring a construction error condition corresponding to the progress error reason;
constructing a progress prediction model;
acquiring the current construction condition of the engineering construction project, and generating a hypothetical construction condition based on the current construction condition and the construction error condition;
inputting the assumed construction condition into a progress prediction model to generate assumed progress data corresponding to the assumed construction condition;
and generating a corresponding construction condition change scheme based on the assumed progress data.
Preferably, the method for displaying the progress information feedback and the deviation in real time includes, in S3: comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and displaying, wherein the progress front edge comprises:
automatically generating an actual progress simulation model corresponding to the engineering construction project in real time based on the effective progress data, and meanwhile, acquiring a planned progress simulation model and comparing to obtain the free time difference of the engineering construction project;
based on the progress management platform, generating a progress prediction comprehensive report according to an externally input construction requirement threshold and the free time difference, and transmitting the progress prediction comprehensive report to a display platform for display based on the progress management platform, wherein the display process comprises the following steps:
before the progress prediction comprehensive report is transmitted by the progress management platform, acquiring a transmission channel between the progress management platform and a display platform, and judging whether the bandwidth sizes of a first transmission bandwidth related to the progress management platform and a second transmission bandwidth related to the display platform are consistent or not;
if the data communication is consistent with the data communication request, performing first transmission detection on the progress management platform based on the detection service, judging whether a delay character exists in the data communication process corresponding to the progress management platform according to a first transmission detection result, and if so, calibrating the delay character in a delay character set to determine delay time;
meanwhile, second transmission detection is carried out on the display platform based on the detection service, whether abnormal communication characters exist in the display platform in the data communication process is judged according to a second transmission detection result, and if the abnormal communication characters exist, abnormal feedback of the abnormal communication characters is established;
detecting the transmission channel, acquiring corresponding interference transmission information, and determining the historical transmission resource occupation ratio of a prediction comprehensive report in the transmission channel according to the historical log of the transmission channel;
judging whether the historical transmission resource occupation ratio is influenced or not according to the delay time, the abnormal feedback and the interference transmission information;
if so, acquiring the influence factor, acquiring a correction scheme from the correction data, correcting the corresponding transmission channel or platform end until the corresponding estimated transmission resource ratio is greater than or equal to the historical transmission resource ratio, and transmitting the progress prediction comprehensive report from the progress management platform to the display platform.
Preferably, the method for real-time displaying the progress information feedback and the deviation is based on a progress management platform, and generates a progress prediction comprehensive report according to an externally input construction requirement threshold and the free time difference, and includes:
receiving an externally input construction requirement threshold value, and acquiring a current construction condition threshold value corresponding to the engineering construction project;
determining a corresponding project progress influence weight value based on the construction requirement threshold and the current construction condition threshold:
Figure DEST_PATH_IMAGE001
in the formula (I), the
Figure DEST_PATH_IMAGE002
The weight value is influenced for the project progress corresponding to the ith construction condition,
Figure DEST_PATH_IMAGE003
Figure DEST_PATH_IMAGE004
an initial influence weight value for the project progress corresponding to the ith construction condition,
Figure DEST_PATH_IMAGE005
is the current construction condition threshold value corresponding to the ith construction condition,
Figure DEST_PATH_IMAGE006
is as follows
Figure DEST_PATH_IMAGE007
The construction requirement threshold value corresponding to each construction condition.
Preferably, the method for real-time displaying progress information feedback and deviation, after determining a corresponding project progress influence weight value based on the construction requirement threshold and the current construction condition threshold, further includes:
obtaining progress prediction data corresponding to each sub-project of the engineering construction project based on the construction requirement threshold;
judging whether the construction conditions influence the progress prediction data mutually, and distinguishing the progress prediction data according to data types according to a judgment result;
setting data category representative values for progress prediction data of different data categories of each sub-project of the engineering construction project based on a preset setting algorithm;
determining a data extraction threshold value corresponding to each sub-project of the engineering construction project based on a preset determination algorithm and a data category representative value and a project progress influence weight value corresponding to progress prediction data of different data categories of each sub-project:
Figure DEST_PATH_IMAGE008
in the formula (I), the compound is shown in the specification,
Figure DEST_PATH_IMAGE009
extracting a threshold value for data corresponding to the progress prediction data of the tth sub-project of the engineering construction project,
Figure DEST_PATH_IMAGE010
the p-th construction condition which does not affect each other,
Figure DEST_PATH_IMAGE011
m is the total number of construction conditions which do not affect each other,
Figure DEST_PATH_IMAGE012
the total number of all the construction conditions is,
Figure DEST_PATH_IMAGE013
a determination algorithm corresponding to the sub-project independently influenced by the p-th construction condition,
Figure DEST_PATH_IMAGE014
a determination algorithm corresponding to the sub-project which is not independently influenced by the qth construction condition,
Figure DEST_PATH_IMAGE015
for the q-th mutually influencing construction conditions,
Figure DEST_PATH_IMAGE016
Figure DEST_PATH_IMAGE017
representing the data category corresponding to the progress prediction data in the nth sub-project independently influenced by the pth construction condition,
Figure DEST_PATH_IMAGE018
representing a data category value corresponding to progress prediction data in the nth sub-project which is not independently influenced by the qth construction condition;
determining a comprehensive data extraction threshold value of the engineering construction project based on the data extraction threshold value corresponding to each sub-project of the engineering construction project:
Figure DEST_PATH_IMAGE019
in the formula (I), the compound is shown in the specification,
Figure DEST_PATH_IMAGE020
extracting a threshold value for the comprehensive data of the engineering construction project, w being the total number of the sub-projects of the engineering construction project,
Figure DEST_PATH_IMAGE021
representing the data category representative value corresponding to the coincidence data of the 1 st sub-project and the t-th sub-project of the engineering construction project,
Figure DEST_PATH_IMAGE022
representing the data category representative value corresponding to the coincidence data of the 2 nd sub-project and the t-th sub-project of the engineering construction project,
Figure DEST_PATH_IMAGE023
is the first of the engineering construction project
Figure DEST_PATH_IMAGE024
Individual sub-item and the second
Figure DEST_PATH_IMAGE025
The value range of t is [2, w ] as the data category representative value corresponding to the superposition data of each sub item],
Figure DEST_PATH_IMAGE026
Extracting a threshold value for data corresponding to the progress data of the 1 st sub-project of the engineering construction project;
and extracting the comprehensive progress prediction data of the engineering construction project from the progress prediction comprehensive report based on the comprehensive data extraction threshold value of the engineering construction project and a preset data extraction algorithm.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a method for real-time displaying progress information feedback and deviation according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a method for real-time displaying progress information feedback and deviation according to an embodiment of the present invention;
fig. 3 is a schematic diagram of one of the display platforms according to the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
as shown in fig. 1 and 2, the present invention provides a method for real-time displaying progress information feedback and deviation, comprising:
s1: automatically acquiring progress data based on construction data of the engineering construction project;
s2: acquiring a schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the schedule;
s3: and comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and displaying.
In this embodiment, the construction data is a related engineering data table filled by the staff according to the content of the acceptance procedure of the engineering construction project and the actual construction progress, and in the filling process of the engineering data, the construction unit staff accurately fills acceptance data including information such as acceptance positions, acceptance quantity (capacity), acceptance units and staff, and acceptance time.
In this embodiment, the feeding back of the progress information and the displaying of the deviation in real time include: and generating a project progress crosswalk diagram to realize visual display of progress information, and generating a progress front line to realize real-time visual display of deviation.
In this embodiment, the progress data is data related to the construction progress of the engineering construction project, for example: start time, current time, constructed workload, constructed time, etc.
In this embodiment, the schedule is a schedule of the engineering construction project, and is made by a worker according to construction requirements and the like.
In this embodiment, the project progress crosswalk map is an image representing a partial construction progress of the project construction project.
In the embodiment, the front line of progress realizes the visual comparison between the actual progress and the planned progress of the project by drawing the front line of actual progress of the project construction project at a certain inspection time.
In this embodiment, referring to fig. 2, the input platform is used for inputting construction data, modification instructions, and the like;
the progress management platform is used for carrying out primary judgment and secondary judgment on the construction data and generating a project progress crosswalk graph and a progress front edge;
the display platform is used for visually displaying the project progress crosswalk diagram, the progress frontline and the related progress information.
The beneficial effects of the above technical scheme are: on the basis of realizing automatic, accurate and comprehensive collection of engineering data, the data are structurally stored and automatically reflected to a cross-road map conforming to an engineering progress management mode for display, so that the problems that only personnel are relied on to input and progress data is not fed back timely and accurately at present are solved.
Example 2:
on the basis of the foregoing embodiment 1, the method for real-time displaying the progress information feedback and the deviation includes, in S1: construction data based on engineering construction project, automatic acquisition progress data includes:
based on a preset judgment rule, preliminarily judging the qualification of the construction data;
when the construction data are judged to be qualified in the initial step, outputting an instruction to remind a worker to carry out secondary judgment on the construction data;
and when the construction data is judged to be in accordance with the construction progress of the engineering entity for the second time, carrying out structured storage on the data information in the construction data to be used as progress data.
In this embodiment, the preliminary judgment of the eligibility of the construction data based on the preset judgment rule includes that the authenticity, integrity and traceability of the construction data are judged through technical means such as electronic signature and electronic signature in the system, and when the authenticity, integrity and traceability of the construction data meet requirements, the construction data are judged to be eligible.
In this embodiment, the secondary determination is to complete the joint confirmation of the construction unit and supervision unit personnel to the data content according to the flow requirement of the project data form, so that the filled data conforms to the construction progress of the project entity.
In the embodiment, the project data which is approved and confirmed to be finished carries out structured storage on the data information filled in the project data. And the function of automatically acquiring progress data in construction data is realized.
The beneficial effects of the above technical scheme are: after the acquired construction data are subjected to initial judgment of a preset judgment program, the data are manually and jointly confirmed through two client sides, automatic data entry, reading and sorting are achieved, digital approval is also achieved, the accuracy and integrity of the construction data are guaranteed, the structured storage of the progress data is achieved, and the reading efficiency of the subsequent progress data is improved.
Example 3:
on the basis of the foregoing embodiment 2, the method for real-time displaying progress information feedback and deviation, before preliminarily determining the eligibility of the construction data based on a preset determination rule, further includes:
receiving an externally input engineering data table, and determining the data type in the engineering data table;
determining an initial data type in the engineering data table (the initially determined data type of the construction data in the engineering data table) based on the distribution mode;
reading the construction data in the engineering data table based on the initial data category;
judging whether the construction data is in an effective data range (namely a preset data value range corresponding to the data category) corresponding to the data category, and if so, storing the construction data in a structured manner;
otherwise, tracking the row data and the column data of the construction data exceeding the corresponding effective data range based on a preset data tracking algorithm;
determining a secondary data type of the construction data beyond the corresponding valid data range (the second determined data type of the construction data in the engineering data table) based on the tracking result, and updating the corresponding valid data range if the secondary data type is consistent with the initial data type;
if the secondary data type is inconsistent with the initial data type, judging whether the construction data beyond the corresponding effective data range is in the effective data range corresponding to the secondary data type, and if so, storing the construction data in a structured mode;
otherwise, outputting an instruction to remind external personnel to judge the construction data beyond the corresponding effective data range, and receiving a feedback result input from the outside;
updating the engineering data table and the corresponding effective data range according to the feedback result;
performing secondary reading on the construction data based on the updated engineering data table and the effective data range;
and meanwhile, preliminarily judging whether the construction data are qualified or not based on a preset judgment rule.
In this embodiment, the engineering data table includes: the acceptance data comprises information of acceptance positions, acceptance quantity (capacity), acceptance units and personnel, acceptance time and the like.
In this embodiment, based on the initial data category, reading the construction data in the engineering data table is: sequentially reading the construction data corresponding to the initial data type in the engineering data table by taking the initial data type as a unit, for example: all construction data included in the acceptance data, all construction data included in the acceptance portion, all construction data included in the acceptance amount (capacity), all construction data included in the acceptance unit and the person, all construction data included in the acceptance time, and the like are sequentially read.
In this embodiment, tracking the row data and the column data of the construction data beyond the corresponding valid data range includes:
acquiring a distribution mode of the construction data beyond the corresponding effective data range, if the construction data are distributed in a column unit, judging whether the column data (except the construction data beyond the corresponding effective data range) of the construction data beyond the corresponding effective data range are all in the effective data range, and if so, determining the secondary data category of the construction data beyond the corresponding effective data range;
if the data are distributed in a row unit, judging whether the row data (except the construction data beyond the corresponding effective data range) of the construction data beyond the corresponding effective data range are all in the effective data range, and if so, determining the secondary data category of the construction data beyond the corresponding effective data range;
otherwise, according to the degree of exceeding the effective data range, updating the corresponding effective data range.
In this embodiment, the data categories are, for example: the distribution of the acceptance data including the information of the acceptance site, the acceptance amount (capacity), the acceptance unit and the personnel, the acceptance time, etc. (for example: distributed in units of columns or distributed in units of rows.
In this embodiment, the data tracking algorithm is used for tracking the row data and the column data of the target construction data.
In this embodiment, if the secondary data type is consistent with the initial data type, the corresponding valid data range is updated, that is: and expanding the effective data range to exceed effective data corresponding to the effective data range.
In this embodiment, the feedback result includes: the valid data beyond the valid data range is an input error, the actual data category of the valid data beyond the valid data range is other data category, and the actual data category of the valid data beyond the valid data range is an initial data category or a secondary data category.
In this embodiment, updating the engineering data table and the corresponding valid data range according to the feedback result includes:
when the feedback result is that the effective data beyond the effective data range is an input error, receiving externally re-input data, and judging and storing;
when the feedback result is that the actual data category of the effective data beyond the effective data range is other data category, storing according to the actual data category;
and when the feedback result is that the actual data category of the effective data beyond the effective data range is the initial data category or the secondary data category, updating the corresponding initial data category or the secondary data category according to the effective data beyond the effective data range.
The beneficial effects of the above technical scheme are: the method has the advantages that the data category in the engineering data table is determined, the data are sequentially and structurally read and sorted, the process of reading the data in the engineering data table is more sequential, the subsequent data storage and reading efficiency is improved, the construction data are confirmed through the effective data range, the construction data entry accuracy is facilitated, the construction data entry accuracy is further ensured through data tracking in the subsequent process, and convenience is brought to the subsequent structural storage of the construction data.
Example 4:
on the basis of the embodiment 2, the method for feeding back the progress information and displaying the deviation in real time for reminding the staff of secondary judgment of the construction data by outputting the instruction comprises the following steps:
associating the progress data with corresponding progress data confirmation instructions in a preset progress data confirmation instruction library (instructions for pre-storing the progress data confirmation, wherein the instructions correspond to the pre-stored data types one by one);
automatically generating a confirmation process of the engineering construction project based on a preset process requirement;
based on the confirmation process of the engineering construction project, simultaneously sending a first progress data confirmation instruction and progress data corresponding to the first progress data confirmation instruction to two clients, and receiving confirmation results;
when first confirmation results from the two clients are received, whether the confirmation results of the two clients are consistent or not is judged, if yes, the corresponding progress data are judged to be consistent with the construction progress of the engineering entity, and meanwhile, a second progress data confirmation instruction and the progress data corresponding to the second progress data confirmation instruction are sent to the two clients at the same time until all the progress data are confirmed;
and if not, outputting an instruction to remind the staff that the corresponding progress data are not in accordance with the construction progress of the engineering entity, and simultaneously sending a second progress data confirmation instruction and the progress data corresponding to the second progress data confirmation instruction to the two clients simultaneously until the progress data are completely confirmed. In this embodiment, the flow requirements are preset in the program, for example: and sequentially confirming information such as acceptance positions, acceptance quantity (capacity), acceptance units and personnel, acceptance time and the like.
In this embodiment, the confirmation procedure is used to determine a confirmation order (i.e., a confirmation order of data categories) according to a preset procedure requirement and data categories included in the engineering construction project.
In this embodiment, the first progress data confirmation instruction is a confirmation instruction in the progress data confirmation instruction library determined according to the data category confirmed first in the confirmation flow.
In this embodiment, the confirmation results include: the corresponding progress data conforms to the construction progress of the engineering entity, and the corresponding progress data does not conform to the construction progress of the engineering entity;
wherein, the confirmation results of the two clients do not influence each other.
The beneficial effects of the above technical scheme are: by sending confirmation instructions to the two clients and combining the digital confirmation and manual confirmation methods, the accuracy of the confirmation result is improved on the basis of reducing the labor cost, and the confirmation efficiency is improved and the accuracy of the entered progress data is ensured by generating a series of confirmation instructions and confirmation flows.
Example 5:
on the basis of the foregoing embodiment 2, the method for real-time displaying progress information feedback and deviation performs structured storage on data information in the construction data, and includes:
after all the progress data are confirmed, cleaning and filtering all the progress data to obtain effective progress data of the engineering construction project;
inputting the effective progress data into a preset classification model for autonomous classification, and storing the classified effective progress data to a cloud data end one by one according to a classification result;
when an external input modification instruction is input, analyzing the effective progress data to obtain the representation of each data record in the effective progress data, wherein the representation comprises: total length of data, number of blocks, field length, and field order;
determining a primary key name corresponding to each data record based on the characterization;
determining a primary key value of each data record based on a preset determination algorithm, and obtaining a corresponding first hash value based on the primary key value;
analyzing an externally input modification instruction to obtain a second hash value corresponding to the data needing to be modified;
determining the line of the source data record corresponding to the modified data by taking the second hash value as a main index;
taking the number of base pointers and the unique identifier of the source data record as a secondary index, determining the specific position of the source data record based on the row of the source data record, and performing data replacement;
and recording the progress data modification record, and storing the progress data modification record to a modification record database of the cloud data end.
In this embodiment, the cleaning filtering is used to perform examination and check on the progress data, delete duplicate data, and correct error data.
In this embodiment, the valid progress data is obtained after the progress data is examined and checked, duplicate data is deleted, and error data is corrected.
In this embodiment, the classification model implements a data classification function for a preset data structure.
In this embodiment, storing the effective progress data to the cloud data end one by one according to the classification result means storing the effective progress data divided according to the classification model to the cloud data end according to different data structures.
In this embodiment, the modification instruction includes: data to be modified and corresponding data categories.
In this embodiment, the data records are obtained by dividing according to the input time and the data category of the effective progress data.
In this embodiment, the primary key name is a name of a combination of one or more columns in the effective progress data, and a value of the primary key name uniquely identifies each row in the table, and such one or more columns are referred to as primary keys of the table, and the primary key name is named by a user or automatically named by a program.
In this embodiment, the primary key value is assigned by a preset program.
In this embodiment, the hash value is a value obtained by converting a segment of data by a hash function;
the first hash value is a hash value of each data record in the effective progress data;
and the second hash value is a hash value corresponding to the data to be modified.
In this embodiment, the main index is a program flag for performing a first index to determine a row where a source data record corresponding to data to be modified is located;
and the source data record is replaced data corresponding to the data to be modified.
In this embodiment, the number of base pointers is the length of the data coverage memory space.
In this embodiment, the unique identifier is a non-repeating identifier determined for each data record according to a preset program.
In this embodiment, the secondary index is a program identifier for performing a second index to determine a specific location of a source data record corresponding to the data to be modified.
The beneficial effects of the above technical scheme are: the progress data are classified and then structurally stored after being processed, theoretical data are provided for follow-up progress display and deviation display, the generation efficiency of a follow-up project progress crosswalk graph and the progress front edge is facilitated, and the storage space of a cloud data end is saved; and the corresponding main index and the secondary index can be determined according to an external input instruction, so that the data to be modified is retrieved and modified, the function of modifying the progress data in real time is realized, the modification record is stored, and the traceable function of modifying the data is realized.
Example 6:
on the basis of the foregoing embodiment 1, the method for real-time displaying the progress information feedback and the deviation includes, in S2: acquiring a planned schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the planned schedule, wherein the engineering schedule crosswalk graph comprises:
acquiring progress plan information of the engineering construction project;
acquiring a corresponding progress plan project based on the progress plan information, secondarily classifying the classified effective progress data stored in the cloud data terminal according to the project, and matching the secondarily classified effective progress data with the progress plan project;
processing the matched effective progress data based on the progress plan project to obtain project progress data;
and generating a project progress crosswalk graph based on the project progress data.
In this embodiment, the schedule information is formulated by the staff according to the actual construction requirements and then input to obtain.
In this embodiment, the progress plan project refers to a project and corresponding plan progress data included in an externally made construction progress plan.
In this embodiment, the matching of the effective progress data stored in the cloud data terminal and the progress plan project refers to: and correspondingly matching the effective progress data with the plan progress data contained in the progress plan project according to the project.
In this embodiment, the processing refers to performing calculation processing on the overlapped portions of the valid progress data of different projects to obtain sub-project progress data corresponding to different projects.
In this embodiment, based on the sub-project progress data, the project progress crosswalk graph is generated according to the sub-project data corresponding to different projects, and the overlapping portion of the project progress data can be considered, so that the progress crosswalk graph reflects the progress information more accurately.
The beneficial effects of the above technical scheme are: and matching the effective progress data with the progress plan project to obtain sub-project progress data, and generating a corresponding project progress crosswalk graph to realize sub-project visual display of the project progress of the project construction project.
Example 7:
on the basis of the foregoing embodiment 1, the method for real-time displaying the progress information feedback and the deviation includes, in S3: comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and the progress front edge comprises the following steps:
acquiring corresponding planned schedule data based on the schedule information;
comparing project progress data with the plan progress data in real time based on the progress plan project, and determining progress deviation data;
generating a progress front edge based on the progress deviation data, and then, further comprising:
constructing an error reason judgment model (used for judging the reason causing the error of the current construction progress, namely construction conditions);
acquiring a data code corresponding to the progress deviation data, inputting the corresponding data code to the error reason judgment model, and acquiring a construction error condition corresponding to the progress error reason;
constructing a progress prediction model;
acquiring the current construction condition of the engineering construction project, and generating a hypothetical construction condition based on the current construction condition and the construction error condition;
inputting the assumed construction condition into a progress prediction model to generate assumed progress data corresponding to the assumed construction condition;
and generating a corresponding construction condition change scheme based on the assumed progress data.
In this embodiment, the construction error condition includes, for example: the number of construction people should be increased by 50, etc.
In this embodiment, the current construction conditions include: the number of construction persons, the construction starting time and the construction ending time of each construction period and the like.
In this embodiment, the assumed construction conditions are obtained, for example, as follows: the number of the current construction persons is 100, the construction error condition is that the number of the construction persons should be increased by 50, and the assumed construction condition is that the number of the construction persons is 150.
In this embodiment, the construction condition change scheme includes: construction conditions and corresponding hypothetical progress data are assumed.
In this embodiment, the planned progress data refers to progress data included in a construction progress plan previously designated by a worker and input from the outside.
In this embodiment, the comparison result includes data such as time deviation, construction workload deviation, and the like of the actual progress and the planned progress of each sub-project included in the engineering construction project.
The beneficial effects of the above technical scheme are: and comparing the sub-project progress data with the plan progress data in real time based on the progress plan project to generate corresponding progress front lines, so as to realize the sub-project deviation visual display of the actual progress and the plan progress of the engineering construction project.
Example 8:
on the basis of the foregoing embodiment 1, the method for real-time displaying the progress information feedback and the deviation includes, in S3: comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and displaying, wherein the progress front edge comprises:
automatically generating an actual progress simulation model corresponding to the engineering construction project in real time based on the effective progress data, and meanwhile, acquiring a planned progress simulation model and comparing to obtain the free time difference of the engineering construction project;
based on the progress management platform, generating a progress prediction comprehensive report according to an externally input construction requirement threshold and the free time difference, and transmitting the progress prediction comprehensive report to a display platform for display based on the progress management platform, wherein the display process comprises the following steps:
before the progress prediction comprehensive report is transmitted by the progress management platform, acquiring a transmission channel between the progress management platform and a display platform, and judging whether the bandwidth sizes of a first transmission bandwidth related to the progress management platform and a second transmission bandwidth related to the display platform are consistent or not;
if the data communication is consistent with the data communication request, performing first transmission detection on the progress management platform based on the detection service, judging whether a delay character exists in the data communication process corresponding to the progress management platform according to a first transmission detection result, and if so, calibrating the delay character in a delay character set to determine delay time;
meanwhile, second transmission detection is carried out on the display platform based on the detection service, whether abnormal communication characters exist in the display platform in the data communication process is judged according to a second transmission detection result, and if the abnormal communication characters exist, abnormal feedback of the abnormal communication characters is established;
detecting the transmission channel, acquiring corresponding interference transmission information, and determining the historical transmission resource occupation ratio of a prediction comprehensive report in the transmission channel according to the historical log of the transmission channel;
judging whether the historical transmission resource occupation ratio is influenced or not according to the delay time, the abnormal feedback and the interference transmission information;
if so, acquiring the influence factor, acquiring a correction scheme from the correction data, correcting the corresponding transmission channel or platform end until the corresponding estimated transmission resource ratio is greater than or equal to the historical transmission resource ratio, and transmitting the progress prediction comprehensive report from the progress management platform to the display platform.
In this embodiment, the determination of the sizes of the first transmission bandwidth and the second transmission bandwidth is to ensure the validity of transmission, and the detection service is detection of a communication-related service, such as detecting a communication data packet, a communication data loss condition, and communication delay.
In this embodiment, the delay character refers to a special symbol representing communication delay, for example, the delay character is 0001, which is calibrated in the delay character set, and the corresponding delay time obtained by screening is 0.1 s;
in the embodiment, the first transmission detection is mainly aimed at delay detection, the second transmission detection is mainly aimed at detection whether the communication data is abnormal or not, and the two platforms are detected in different modes, so that the error rate of detection can be prevented from being improved due to a single detection mode, the detection effectiveness can be effectively ensured, and an effective basis is provided for subsequent resource occupation ratio repair.
In this embodiment, the abnormal communication character is, for example, 1111 as a normal character, and 0011 as an abnormal character, where "00" is an abnormal, and at this time, an abnormal cause of 0011 as an abnormal may be established;
in this embodiment, the historical resource proportion refers to communication resources occupied by the progress prediction comprehensive report in the transmission process of the same batch of data;
in this embodiment, the interference transmission information refers to information that affects data transmission in a communication channel, such as noise, and the impact factor refers to an index that can eliminate delay time, abnormal feedback, and impact of the interference transmission information on transmission resource occupation ratio, if the delay occurs, advanced communication may be performed at this time, or when communication is performed, a reported communication sequencing order is arranged forward, or a platform communication state is adjusted, and the like, all of which may be regarded as a correction scheme for invoking the impact factor.
In this embodiment, the free time difference indicates a maneuvering time that can be used by the construction project without affecting the earliest starting time of the subsequent construction of the construction project.
In this embodiment, the progress management platform is a platform that does not include a plurality of pieces of relevant information data representing construction progress, such as the actual progress simulation model, the planned progress simulation model, the engineering progress crosswalk graph, the progress front edge, and the like, and can also realize a function of predicting the later-stage construction progress through an algorithm.
In this embodiment, the construction requirement threshold indicates a construction change condition to subsequently improve the construction progress, such as the number of construction persons after increase or decrease, the construction start time and the construction end time of each construction period change.
In this embodiment, the integrated report of progress prediction includes: the relevant data information of the current progress, the relevant data information of the deviation between the current progress and the planned progress and the relevant data information of the predicted progress after the construction condition is improved.
In this embodiment, referring to fig. 3, the display platform displays the project progress crosswalk diagram and the progress front line in a display screen manner.
The beneficial effects of the above technical scheme are: the progress management platform passes through actual progress simulation model, planned progress simulation model, engineering progress crosswalk picture, front line before the progress can realize based on the construction requirement threshold value of external input, predicts comprehensive progress data, has realized the function of accurate prediction construction progress under the constraint of the construction requirement threshold value based on external input, simultaneously, detects two platforms respectively through the different detection mode that adopts, is convenient for effectively restore, and then guarantees the validity of progress prediction comprehensive report transmission.
Example 9:
on the basis of the foregoing embodiment 8, the method for real-time displaying progress information feedback and deviation, after generating a progress prediction comprehensive report according to an externally input construction requirement threshold and the free time difference based on a progress management platform, includes:
receiving an externally input construction requirement threshold value, and acquiring a current construction condition threshold value corresponding to the engineering construction project;
determining a corresponding project progress influence weight value based on the construction requirement threshold and the current construction condition threshold:
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in the formula (I), the
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The weight value is influenced for the project progress corresponding to the ith construction condition,
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an initial influence weight value for the project progress corresponding to the ith construction condition,
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is the current construction condition threshold value corresponding to the ith construction condition,
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is as follows
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The construction requirement threshold value corresponding to each construction condition.
In this embodiment, the current construction condition threshold is a value corresponding to the current construction condition, and includes, for example: the number of current construction persons, the construction starting time and the construction ending time in the current construction period and the like.
The beneficial effects of the above technical scheme are: and acquiring a current construction condition threshold corresponding to the engineering construction project based on the construction requirement threshold which is input from the outside, determining a corresponding project progress influence weight value, and providing data for accurately predicting the comprehensive progress subsequently.
Example 10:
on the basis of the foregoing embodiment 9, the method for real-time displaying progress information feedback and deviation, after determining a corresponding project progress influence weight value based on the construction requirement threshold and the current construction condition threshold, further includes:
obtaining (after the construction requirement threshold is changed) progress prediction data corresponding to each sub-project of the engineering construction project based on the construction requirement threshold;
judging whether the construction conditions influence the progress prediction data mutually, and distinguishing the progress prediction data according to data types according to a judgment result;
setting data category representative values for progress prediction data of different data categories of each sub-project of the engineering construction project based on a preset setting algorithm;
determining a data extraction threshold value corresponding to each sub-project of the engineering construction project based on a preset determination algorithm and a data category representative value and a project progress influence weight value corresponding to progress prediction data of different data categories of each sub-project:
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in the formula (I), the compound is shown in the specification,
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extracting a threshold value for data corresponding to the progress prediction data of the tth sub-project of the engineering construction project,
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the p-th construction condition which does not affect each other,
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m is the total number of construction conditions which do not affect each other,
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the total number of all the construction conditions is,
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a determination algorithm corresponding to the sub-project independently influenced by the p-th construction condition,
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a determination algorithm corresponding to the sub-project which is not independently influenced by the qth construction condition,
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for the q-th mutually influencing construction conditions,
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representing the data category corresponding to the progress prediction data in the nth sub-project independently influenced by the pth construction condition,
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representing a data category value corresponding to progress prediction data in the nth sub-project which is not independently influenced by the qth construction condition;
determining a comprehensive data extraction threshold value of the engineering construction project based on the data extraction threshold value corresponding to each sub-project of the engineering construction project:
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in the formula (I), the compound is shown in the specification,
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extracting a threshold value for the comprehensive data of the engineering construction project, w being the total number of the sub-projects of the engineering construction project,
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representing the data category representative value corresponding to the coincidence data of the 1 st sub-project and the t-th sub-project of the engineering construction project,
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representing the data category representative value corresponding to the coincidence data of the 2 nd sub-project and the t-th sub-project of the engineering construction project,
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is the first of the engineering construction project
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Individual sub-item and the second
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The value range of t is [2, w ] as the data category representative value corresponding to the superposition data of each sub item],
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For the said engineeringExtracting a threshold value from data corresponding to the progress data of the 1 st sub-project of the construction project;
and extracting the comprehensive progress prediction data of the engineering construction project from the progress prediction comprehensive report based on the comprehensive data extraction threshold value of the engineering construction project and a preset data extraction algorithm.
In this embodiment, the progress prediction data is distinguished according to the data type according to the determination result, and the obtained result includes: the progress data corresponding to the sub-project with the independent influence of the construction conditions and the progress data corresponding to the sub-project with the dependent influence of the construction conditions.
In this embodiment, the preset setting algorithm is configured to set a data category representative value corresponding to data according to a data category corresponding to progress prediction data of each sub-project of the engineering construction project.
In this embodiment, the preset determination algorithm is used to determine the data extraction threshold, for example: judging progress prediction data of 1 st to 3 rd data categories in progress data of 1 st to 3 th sub-projects according to 1 st to 3 th construction conditions (
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Representative values of data categories corresponding to the progress prediction data of the 1 st to 3 th data categories), and the progress prediction data of the 4 th to 5 th data categories in the progress data of the 1 st sub-project according to the 4 th to 5 th construction conditions (i.e., (ii) ((ii))
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For corresponding data category representative values), inputting project progress influence weight values corresponding to the 1 st to 3 rd construction conditions to a preset determination algorithm
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Inputting the project progress influence weight values corresponding to the 4 th to 5 th construction conditions into a preset determination algorithm
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And each is appliedAnd adding products of the values output by the determining algorithm corresponding to the working conditions and the corresponding data category representative values to obtain a data extraction threshold value corresponding to the 1 st sub-project of the engineering construction project.
And the data extraction threshold is used for inputting the data extraction threshold into the preset data extraction algorithm to extract corresponding comprehensive progress prediction data.
In this embodiment, the integrated data extraction threshold includes a plurality of values, each of which corresponds to one of the sub-items, and is used to extract the integrated progress prediction data.
In this embodiment, the progress data in the progress prediction comprehensive report are arranged in terms of time, and the preset data extraction algorithm is configured to input a comprehensive data extraction threshold corresponding to each sub-item included in the comprehensive data extraction threshold, and extract comprehensive progress prediction data corresponding to each sub-item from the time axis in terms of time according to the comprehensive data extraction threshold.
In this embodiment, the step of judging whether the construction conditions affect the progress prediction data, and the step of distinguishing the progress data according to the judgment result includes:
changes in some construction conditions may have an effect on the progress data of multiple data types in the construction project (e.g., changes in the use time of the construction machine may have an effect on the progress data of multiple data types, such as the construction start time, the use end time, and the total construction time per unit construction period);
some construction condition changes only affect progress data of one data type, construction condition is distinguished, better comprehensive progress data can be predicted favorably (for example, progress data of the data type that the number of constructors is changed only affects the number of constructors is changed), and construction condition distinguishing is realized by a preset algorithm.
The beneficial effects of the above technical scheme are: when the comprehensive progress data of the engineering construction project is calculated, the error caused by the mutual influence of the construction conditions on the progress data is considered, and the condition that the progress data of each sub project of the engineering construction project are overlapped is also considered, so that the comprehensive progress data is more accurately predicted.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A progress information feedback and deviation real-time display method comprises the following steps:
s1: automatically acquiring progress data based on construction data of the engineering construction project;
s2: acquiring a schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the schedule;
s3: and comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and displaying.
2. The method for real-time displaying of the progress information feedback and deviation as claimed in claim 1, wherein the step of S1: construction data based on engineering construction project, automatic acquisition progress data includes:
based on a preset judgment rule, preliminarily judging the qualification of the construction data;
when the construction data are judged to be qualified in the initial step, outputting an instruction to remind a worker to carry out secondary judgment on the construction data;
and when the construction data is judged to be in accordance with the construction progress of the engineering entity for the second time, carrying out structured storage on the data information in the construction data to be used as progress data.
3. The method for displaying progress information feedback and deviation in real time as claimed in claim 2, wherein before preliminarily determining the eligibility of the construction data based on a preset determination rule, the method further comprises:
receiving an externally input engineering data table, and determining a distribution mode of data types in the engineering data table;
determining an initial data type in the engineering data table based on the distribution mode;
reading the construction data in the engineering data table based on the initial data category;
judging whether the construction data is in an effective data range of a corresponding data type, and if so, storing the construction data in a structured manner;
otherwise, tracking the row data and the column data of the construction data exceeding the corresponding effective data range based on a preset data tracking algorithm;
determining a secondary data type of the construction data beyond a corresponding effective data range based on the tracking result, and updating the corresponding effective data range if the secondary data type is consistent with the initial data type;
if the secondary data type is inconsistent with the initial data type, judging whether the construction data beyond the corresponding effective data range is in the effective data range corresponding to the secondary data type, and if so, storing the construction data in a structured mode;
otherwise, outputting an instruction to remind external personnel to judge the construction data beyond the corresponding effective data range, and receiving a feedback result input from the outside;
updating the engineering data table and the corresponding effective data range according to the feedback result;
performing secondary reading on the construction data based on the updated engineering data table and the effective data range;
and meanwhile, preliminarily judging whether the construction data are qualified or not based on a preset judgment rule.
4. The method for real-time display of progress information feedback and deviation as claimed in claim 2, wherein the step of outputting an instruction to remind a worker to perform secondary judgment on the construction data comprises:
correspondingly associating the progress data with corresponding progress data confirmation instructions in a preset progress data confirmation instruction library one by one;
automatically generating a confirmation process of the engineering construction project based on a preset process requirement;
based on the confirmation process of the engineering construction project, simultaneously sending a first progress data confirmation instruction and progress data corresponding to the first progress data confirmation instruction to two clients, and receiving confirmation results;
when first confirmation results from the two clients are received, whether the confirmation results of the two clients are consistent or not is judged, if yes, the corresponding progress data are judged to be consistent with the construction progress of the engineering entity, and meanwhile, a second progress data confirmation instruction and the progress data corresponding to the second progress data confirmation instruction are sent to the two clients at the same time until all the progress data are confirmed;
and if not, outputting an instruction to remind the staff that the corresponding progress data are not in accordance with the construction progress of the engineering entity, and simultaneously sending a second progress data confirmation instruction and the progress data corresponding to the second progress data confirmation instruction to the two clients simultaneously until the progress data are completely confirmed.
5. The method as claimed in claim 2, wherein the step of performing structured storage on the data information in the construction data comprises:
after all the progress data are confirmed, cleaning and filtering all the progress data to obtain effective progress data of the engineering construction project;
inputting the effective progress data into a preset classification model for autonomous classification, and storing the classified effective progress data to a cloud data end one by one according to a classification result;
when an external input modification instruction is input, analyzing the effective progress data to obtain the representation of each data record in the effective progress data, wherein the representation comprises: total length of data, number of blocks, field length, and field order;
determining a primary key name corresponding to each data record based on the characterization;
determining a primary key value of each data record based on a preset determination algorithm, and obtaining a corresponding first hash value based on the primary key value;
analyzing an externally input modification instruction to obtain a second hash value corresponding to the data needing to be modified;
determining the line of the source data record corresponding to the modified data by taking the second hash value as a main index;
taking the number of base pointers and the unique identifier of the source data record as a secondary index, determining the specific position of the source data record based on the row of the source data record, and performing data replacement;
and recording the progress data modification record, and storing the progress data modification record to a modification record database of the cloud data end.
6. The method for real-time displaying of the progress information feedback and deviation as claimed in claim 1, wherein the step of S2: acquiring a planned schedule, and generating an engineering schedule crosswalk graph corresponding to the engineering construction project in real time based on the schedule data and the planned schedule, wherein the engineering schedule crosswalk graph comprises:
acquiring progress plan information of the engineering construction project;
acquiring a corresponding progress plan project based on the progress plan information, secondarily classifying the classified effective progress data stored in the cloud data terminal according to the project, and matching the secondarily classified effective progress data with the progress plan project;
processing the matched effective progress data based on the progress plan project to obtain project progress data;
and generating a project progress crosswalk graph based on the project progress data.
7. The method for real-time displaying of the progress information feedback and deviation as claimed in claim 1, wherein the step of S3: comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and the progress front edge comprises the following steps:
acquiring corresponding planned schedule data based on the schedule information;
comparing project progress data with the plan progress data in real time based on the progress plan project, and determining progress deviation data;
generating a progress front edge based on the progress deviation data, and then, further comprising:
constructing an error reason judgment model;
acquiring a data code corresponding to the progress deviation data, inputting the corresponding data code to the error reason judgment model, and acquiring a construction error condition corresponding to the progress error reason;
constructing a progress prediction model;
acquiring the current construction condition of the engineering construction project, and generating a hypothetical construction condition based on the current construction condition and the construction error condition;
inputting the assumed construction condition into a progress prediction model to generate assumed progress data corresponding to the assumed construction condition;
and generating a corresponding construction condition change scheme based on the assumed progress data.
8. The method for real-time displaying of the progress information feedback and deviation as claimed in claim 1, wherein the step of S3: comparing the progress data with the planned progress to generate a progress front edge corresponding to the engineering construction project, and displaying, wherein the progress front edge comprises:
automatically generating an actual progress simulation model corresponding to the engineering construction project in real time based on the effective progress data, and meanwhile, acquiring a planned progress simulation model and comparing to obtain the free time difference of the engineering construction project;
based on the progress management platform, generating a progress prediction comprehensive report according to an externally input construction requirement threshold and the free time difference, and transmitting the progress prediction comprehensive report to a display platform for display based on the progress management platform, wherein the display process comprises the following steps:
before the progress prediction comprehensive report is transmitted by the progress management platform, acquiring a transmission channel between the progress management platform and a display platform, and judging whether the bandwidth sizes of a first transmission bandwidth related to the progress management platform and a second transmission bandwidth related to the display platform are consistent or not;
if the data communication is consistent with the data communication request, performing first transmission detection on the progress management platform based on the detection service, judging whether a delay character exists in the data communication process corresponding to the progress management platform according to a first transmission detection result, and if so, calibrating the delay character in a delay character set to determine delay time;
meanwhile, second transmission detection is carried out on the display platform based on the detection service, whether abnormal communication characters exist in the display platform in the data communication process is judged according to a second transmission detection result, and if the abnormal communication characters exist, abnormal feedback of the abnormal communication characters is established;
detecting the transmission channel, acquiring corresponding interference transmission information, and determining the historical transmission resource occupation ratio of a prediction comprehensive report in the transmission channel according to the historical log of the transmission channel;
judging whether the historical transmission resource occupation ratio is influenced or not according to the delay time, the abnormal feedback and the interference transmission information;
if so, acquiring the influence factor, acquiring a correction scheme from the correction data, correcting the corresponding transmission channel or platform end until the corresponding estimated transmission resource ratio is greater than or equal to the historical transmission resource ratio, and transmitting the progress prediction comprehensive report from the progress management platform to the display platform.
9. The method for displaying the progress information feedback and deviation in real time as claimed in claim 8, wherein after generating the progress prediction comprehensive report based on the progress management platform according to the externally inputted construction requirement threshold and the free time difference, the method comprises:
receiving an externally input construction requirement threshold value, and acquiring a current construction condition threshold value corresponding to the engineering construction project;
determining a corresponding project progress influence weight value based on the construction requirement threshold and the current construction condition threshold:
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in the formula (I), the
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The weight value is influenced for the project progress corresponding to the ith construction condition,
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an initial influence weight value for the project progress corresponding to the ith construction condition,
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is the current construction condition threshold value corresponding to the ith construction condition,
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is as follows
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The construction requirement threshold value corresponding to each construction condition.
10. The method for real-time displaying of progress information feedback and deviation according to claim 9, wherein after determining the corresponding project progress impact weight value based on the construction requirement threshold and the current construction condition threshold, further comprising:
obtaining progress prediction data corresponding to each sub-project of the engineering construction project based on the construction requirement threshold;
judging whether the construction conditions influence the progress prediction data mutually, and distinguishing the progress prediction data according to data types according to a judgment result;
setting data category representative values for progress prediction data of different data categories of each sub-project of the engineering construction project based on a preset setting algorithm;
determining a data extraction threshold value corresponding to each sub-project of the engineering construction project based on a preset determination algorithm and a data category representative value and a project progress influence weight value corresponding to progress prediction data of different data categories of each sub-project:
Figure 157363DEST_PATH_IMAGE008
in the formula (I), the compound is shown in the specification,
Figure 716521DEST_PATH_IMAGE009
extracting a threshold value for data corresponding to the progress prediction data of the tth sub-project of the engineering construction project,
Figure 445573DEST_PATH_IMAGE010
the p-th construction condition which does not affect each other,
Figure 369667DEST_PATH_IMAGE011
m is the total number of construction conditions which do not affect each other,
Figure 66227DEST_PATH_IMAGE012
the total number of all the construction conditions is,
Figure 163496DEST_PATH_IMAGE013
a determination algorithm corresponding to the sub-project independently influenced by the p-th construction condition,
Figure 199586DEST_PATH_IMAGE014
a determination algorithm corresponding to the sub-project which is not independently influenced by the qth construction condition,
Figure 91318DEST_PATH_IMAGE015
for the q-th mutually influencing construction conditions,
Figure 25907DEST_PATH_IMAGE016
Figure 130130DEST_PATH_IMAGE017
representing the data category corresponding to the progress prediction data in the nth sub-project independently influenced by the pth construction condition,
Figure 817463DEST_PATH_IMAGE018
representing a data category value corresponding to progress prediction data in the nth sub-project which is not independently influenced by the qth construction condition;
determining a comprehensive data extraction threshold value of the engineering construction project based on the data extraction threshold value corresponding to each sub-project of the engineering construction project:
Figure 145676DEST_PATH_IMAGE019
in the formula (I), the compound is shown in the specification,
Figure 285670DEST_PATH_IMAGE020
extracting a threshold value for the comprehensive data of the engineering construction project, w being the total number of the sub-projects of the engineering construction project,
Figure 193583DEST_PATH_IMAGE021
representing the data category representative value corresponding to the coincidence data of the 1 st sub-project and the t-th sub-project of the engineering construction project,
Figure 483226DEST_PATH_IMAGE022
representing the data category representative value corresponding to the coincidence data of the 2 nd sub-project and the t-th sub-project of the engineering construction project,
Figure 247920DEST_PATH_IMAGE023
is the first of the engineering construction project
Figure 78472DEST_PATH_IMAGE024
Individual sub-item and the second
Figure 586814DEST_PATH_IMAGE025
The value range of t is [2, w ] as the data category representative value corresponding to the superposition data of each sub item],
Figure 983160DEST_PATH_IMAGE026
Extracting a threshold value for data corresponding to the progress data of the 1 st sub-project of the engineering construction project;
and extracting the comprehensive progress prediction data of the engineering construction project from the progress prediction comprehensive report based on the comprehensive data extraction threshold value of the engineering construction project and a preset data extraction algorithm.
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