CN117236880B - Method and system for whole-process management of construction project contract - Google Patents
Method and system for whole-process management of construction project contract Download PDFInfo
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Abstract
The invention discloses a method and a system for managing the whole process of a construction project contract, which relate to the technical field of project contract management and are used for judging the influence degree of weather conditions on the construction speed through correlation analysis to generate weather influence degree; building a construction prediction model after training by using a neural network model, and analyzing and predicting whether the construction task can be completed in a construction period; if the inner part is difficult to finish, correcting the current construction schedule; monitoring the settlement process, and generating a settlement quality set and a settlement quality coefficient according to the monitoring result; if the quality of the current construction contract is larger than the first quality threshold, revising the current construction contract; generating a construction quality set and a construction quality coefficient, and judging whether the current construction task can be completed in a construction period; if not, the construction condition data is adjusted, and the current construction contract is revised. And revising the construction contract so as to ensure that the construction contract can be successfully executed, thereby reducing the execution risk of the construction contract.
Description
Technical Field
The invention relates to the technical field of project contract management, in particular to a method and a system for whole-flow management of a construction project contract.
Background
Construction contract management refers to the efficient supervision and management of the signing, execution and fulfillment processes of construction contracts in a building, engineering or other project. This is a critical project management aspect aimed at ensuring that parties adhere to contractual terms and complete the project in terms of contracted time, quality, cost, etc. Construction contract management involves multiple parties including owners, contractors, designers, and proctories. Construction contract management is critical to ensure the smooth progress of projects, cost control and risk management. The method is beneficial to win-win of cooperation of all parties and realizes win-win situation of engineering quality and time.
The invention discloses a whole process management method for engineering project contracts in China patent application number 202210374442.7, which comprises the following steps: s1, establishing basic classification of engineering project contracts; s2, establishing contract list classification; s3, setting a contract control switch; s4, setting a project total budget threshold, and verifying the total amount of each type of contract based on the project total budget threshold; s5, the system regularly pulls project data of the third party platform from the third party platform, and after the data enter the system, one-to-one mapping is established for the pulled project and the project of the system organization architecture; s6, receiving contract data information which is pushed by a third party platform and is subjected to basic information input and one-time approval of the contract, automatically matching contract types, and forming informal data; s7, perfecting basic information and detail information of the contract; and S8, after the contract filling information is completed, the contract initiates a secondary approval process, and after the secondary approval is completed, the contract data becomes formal data for the use of a follow-up contract template.
The above application focuses on solving the problem of insufficient fineness of contract management, is convenient for counting the specific conditions of various contracts and making corresponding analysis, and manages and controls each stage of the contract, but when the construction contract is managed, there is a lack of effective evaluation on the execution process of the construction contract, and it is difficult to effectively avoid the risk when the contract is executed, so that it may be difficult to reach expectations when the construction contract is executed.
Therefore, the invention provides a method and a system for managing the whole process of a construction project contract.
Disclosure of Invention
(One) solving the technical problems
Aiming at the defects of the prior art, the invention provides a method and a system for managing the whole process of a construction project contract, which judge the influence degree of weather conditions on the construction speed through correlation analysis and generate weather influence degree; building a construction prediction model after training by using a neural network model, and analyzing and predicting whether the construction task can be completed in a construction period; if the inner part is difficult to finish, correcting the current construction schedule; monitoring the settlement process, and generating a settlement quality set and a settlement quality coefficient according to the monitoring result; if the quality of the current construction contract is larger than the first quality threshold, revising the current construction contract; generating a construction quality set and a construction quality coefficient, and judging whether the current construction task can be completed in a construction period; if not, the construction condition data is adjusted, and the current construction contract is revised. The construction contract is revised, so that the construction contract can be successfully executed, the execution risk of the construction contract is reduced, and the problem in the background technology is solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a full-flow management system for a construction project contract comprises a condition monitoring unit, a model building unit, a processing analysis unit, a quality evaluation unit, a selection unit, a verification unit and a result prediction unit, wherein,
Acquiring construction content of a current construction project, establishing a construction task, acquiring current weather conditions in a construction area by a condition monitoring unit after determining a corresponding construction area, establishing a construction weather condition set and generating a construction condition coefficient Gxs; the material supply speed under the current weather condition is obtained, and the corresponding construction speed is obtained from the historical construction record; carrying out correlation analysis through a processing analysis unit, judging the influence degree of weather conditions on the construction speed, and generating weather influence degree Txd;
If the weather influence Txd exceeds a preset threshold, identifying a construction task recorded in a construction contract and a corresponding construction period, and making a construction progress by combining a construction scheme; using a neural network model, constructing a construction prediction model by a model constructing unit after training, and analyzing and predicting whether the construction task can be completed in a construction period; if the current construction schedule is difficult to finish, the processing analysis unit corrects the current construction schedule;
dividing the construction period into a plurality of settlement periods according to a construction schedule, respectively carrying out financial settlement in each settlement period, monitoring the settlement process, generating a settlement quality set according to a monitoring result, generating a settlement quality coefficient Jsp by a quality evaluation unit, and revising the current construction contract if the settlement quality coefficient Jsp is larger than a preset first quality threshold;
The method comprises the steps that a selective examination area is defined in a construction area through a selection unit, construction quality in the selective examination area is monitored, a construction quality set is generated, a verification unit generates a construction quality coefficient Ssp, when the current construction quality coefficient Ssp does not exceed a preset second quality threshold value or when the current construction quality coefficient Ssp exceeds the preset second quality threshold value but two continuous predicted values of the current construction quality coefficient Ssp do not exceed the preset second quality threshold value, a result prediction unit predicts the construction progress through a trained construction prediction model, and whether the current construction task can be completed in a construction period is judged; if not, the construction condition data is adjusted, and the current construction contract is revised.
Further, before the construction contract enters a signed state, the task query unit acquires the construction content of the current construction project, establishes a construction task, and after the corresponding construction area is determined, the condition monitoring unit acquires the current weather condition in the construction area, wherein the construction method comprises the steps of acquiring the temperature St, the rainfall frequency Sr and the air humidity Sd of the construction area, querying and acquiring the material supply speed under the current weather condition through a historical construction record, and acquiring the corresponding construction speed from the historical construction record; summarizing the temperature St, the rainfall frequency Sr and the air humidity Sd, and establishing a construction weather condition set.
Further, building construction condition coefficients Gxs from the set of building construction weather conditions, wherein the construction condition coefficients Gxs are generated as follows:
Wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, alpha+beta is 1, alpha and beta are weights, the specific values of the weights are adjusted and set by a user, and D is a constant correction coefficient; performing correlation analysis on the construction condition coefficient Gxs and the construction speed by the processing analysis unit, judging the influence degree of the weather condition on the construction speed by the correlation analysis, and generating weather influence degree Txd; and if the weather influence Txd exceeds a preset threshold value, the early warning unit sends out first early warning information.
Further, when the first early warning information is not received, a construction contract is formulated based on the construction task, the construction task recorded in the construction contract and the corresponding construction period are identified, and the construction progress is formulated in combination with the construction scheme; summarizing data of construction conditions including the number of constructors, weather conditions of a construction area and the like, respectively establishing a training set and a testing set, using a neural network model, and constructing a construction prediction model by a model construction unit after training; taking weather conditions and material supply speed as inputs, and analyzing and predicting whether the construction task can be completed in the construction period by a trained construction prediction model after the construction period is determined;
if the construction schedule is difficult to finish, the processing analysis unit corrects the current construction schedule until the current construction task can be finished in a contracted period; uploading the corrected construction schedule to the cloud; after verification of no error by the processing analysis unit, a construction contract is signed and executed, the construction contract including: paper contracts and electronic contracts, the paper contracts are signed under the line, and the electronic contracts are signed on the line; and backing up the video information of the signed construction contract and the signed video information to the cloud end when the construction contract and the signed video information are signed offline.
Further, after the construction task enters the execution stage, the construction period is divided into a plurality of settlement periods according to the construction schedule, and financial settlement is performed in each settlement period, wherein the related settlement contents at least comprise: material cost, constructor cost and safety protection cost;
monitoring and auditing the settlement process, and if the balance exists in the settlement in the current settlement period, not covering all fees, so as to generate a balance ratio Cb according to the ratio of the balance to the rated fees; acquiring settlement times in each settlement period, generating a settlement frequency, comparing the settlement frequency with the agreed settlement frequency, acquiring a difference value of the settlement frequency and the agreed settlement frequency, and generating a frequency ratio Pb according to the ratio of the difference value to the agreed settlement frequency; and summarizing the difference ratio Cb and the frequency ratio Pb to generate a settlement quality set.
Further, the settlement quality set is sent to a quality evaluation unit, and a settlement quality coefficient Jsp is generated by the quality evaluation unit, wherein the settlement quality coefficient Jsp is obtained as follows:
Wherein θ is more than or equal to 0 and less than or equal to 1, γ is more than or equal to 0 and less than or equal to 1, θ+γ=1, θ and γ are weights, specific values of the weights can be adjusted and set by a user, and R 1 is a correlation coefficient between a difference ratio Cb and a frequency ratio Pb, and the correlation coefficient is obtained after correlation analysis;
and if the settlement quality coefficient Jsp is larger than a preset first quality threshold, revising the current construction contract by the processing analysis unit and outputting the revised construction contract.
Further, when the construction contract is in the continuous execution stage, the selection unit is used for defining a spot check area in the construction area of the corresponding construction site; and monitoring the construction quality in the spot check area by the verification unit, wherein the construction quality comprises the following steps: the completion degree of the agreed construction task, thereby generating a construction completion degree Wd; when the construction completion Wd does not reach the expected value, acquiring the material waste amount in the construction area, namely the waste degree of building materials in the construction area, and generating the material waste Ld; at least partially subjecting the structure to quality checks, the quality checks involved at least comprising: building strength conformity, size conformity and construction matching degree Sd are obtained after the conformity degree of a construction process is averaged during construction; and summarizing the construction completion degree Wd, the material waste degree Ld and the construction matching degree Sd to generate a construction quality set.
Further, after the verification unit obtains the construction quality set, a construction quality coefficient Ssp is generated according to the following manner, dimensionless processing is performed on the construction completion degree Wd, the material waste degree Ld and the construction matching degree Sd, and the following formula is adopted:
Wherein, C is a constant correction coefficient, and the specific value is adjusted and set by a user.
If the construction quality coefficient Ssp is not more than the preset second quality threshold value, the smooth index model is used for predicting the change of the construction quality coefficient Ssp,
And when the current construction quality coefficient Ssp does not exceed a preset second quality threshold, or when the current construction quality coefficient Ssp exceeds the preset second quality threshold but two continuous predicted values of the current construction quality coefficient Ssp do not exceed the preset second quality threshold, the second early warning information is sent out by the early warning unit.
Further, after the second early warning information is acquired, current construction condition data including weather conditions, construction speed, material supply speed and the number of constructors are acquired, the construction condition data are taken as input, and a result prediction unit predicts the construction progress by using the trained construction prediction model so as to judge whether the current construction task can be completed in a contracted construction period;
If not, the construction condition data are adjusted until the construction task can be completed in the appointed construction period, and the modified construction condition is output; when the modified construction conditions are feasible, revising the current construction contract with the modified construction conditions, fixing the revising process on a blockchain if the construction contract is an electronic contract, recording video in the revising process of the construction contract if the construction contract is a paper contract, acquiring corresponding audio and video, and backing up the audio and video in a cloud by a backup unit.
A full-flow management method for a construction project contract comprises the following steps:
Step one, acquiring construction content of a current construction project, establishing a construction task, acquiring current weather conditions in a construction area after determining a corresponding construction area, establishing a construction weather condition set and generating a construction condition coefficient Gxs; the material supply speed under the current weather condition is obtained, and the corresponding construction speed is obtained from the historical construction record; judging the influence degree of weather conditions on the construction speed through correlation analysis, and generating weather influence degree Txd;
if the weather influence Txd exceeds a preset threshold value, identifying a construction task recorded in a construction contract and a corresponding construction period, and making a construction progress by combining a construction scheme; building a construction prediction model after training by using a neural network model, and analyzing and predicting whether the construction task can be completed in a construction period; if the inner part is difficult to finish, correcting the current construction schedule;
Dividing the construction period into a plurality of settlement periods according to a construction schedule, respectively carrying out financial settlement in each settlement period, monitoring the settlement process, and generating a settlement quality set and a settlement quality coefficient Jsp according to the monitoring result; if the settlement quality coefficient Jsp is larger than a preset first quality threshold, revising the current construction contract;
Fourthly, a spot check area is defined in the construction area, construction quality in the spot check area is monitored, a construction quality set and a construction quality coefficient Ssp are generated, and when the current construction quality coefficient Ssp does not exceed a preset second quality threshold or the current construction quality coefficient Ssp exceeds the preset second quality threshold, but two continuous predicted values of the current construction quality coefficient Ssp do not exceed the preset second quality threshold; predicting the construction progress by using the trained construction prediction model, and judging whether the current construction task can be completed in a construction period; if not, the construction condition data is adjusted, and the current construction contract is revised.
(III) beneficial effects
The invention provides a method and a system for managing the whole process of a construction project contract, which have the following beneficial effects:
1. By establishing a construction prediction model, under the current construction condition, the construction task can be predicted whether to finish in a construction period, if not, the construction task needs to be adjusted in time, so that the construction contract is ensured to have executable performance before the construction contract is signed; if the construction contract can be completed, the construction contract has the formulated condition, and meanwhile, the signing process of the construction contract is fixed, so that the signed construction contract can be prevented from being tampered, and disputes are reduced.
2. And continuously recording the execution process of the construction contract, establishing a settlement quality set from the record, establishing a settlement quality coefficient Jsp from the record, evaluating the execution quality of the construction contract by the settlement quality coefficient Jsp from the aspect of financial settlement, revising the construction contract if the execution quality of the current construction contract is difficult to reach the expected value, improving the executability of the construction contract and reducing the execution risk of the construction contract.
3. And generating a construction quality coefficient Ssp and a predicted value thereof, comprehensively judging the current construction quality according to the relation between the construction quality coefficient Ssp and a second quality threshold value, adjusting the construction process and adaptively adjusting the construction contract if the current construction quality is difficult to reach the expected value, and simultaneously, after the second early warning information is sent, timely revising the construction contract is facilitated, so that the risk that the construction contract cannot be effectively executed is reduced.
4. Predicting the construction progress, judging whether the current construction task can be completed in the appointed construction period under the current construction condition, if not, acquiring the feasible construction condition through simulation analysis, and revising the construction contract according to the revised construction condition, thereby ensuring that the construction contract can be successfully executed, and further reducing the execution risk of the construction contract.
Drawings
FIG. 1 is a schematic diagram of a first flow structure of a contract full-flow management system according to the present invention;
FIG. 2 is a schematic diagram of a second flow structure of the contract full-flow management system according to the present invention;
In the figure: 10. a task query unit; 20. a condition monitoring unit; 30. a model building unit; 40. a processing analysis unit; 50. a quality evaluation unit; 60. a selection unit; 70. an early warning unit; 80. a verification unit; 90. a result prediction unit; 100. and a backup unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the present invention provides a whole process management system for a construction project contract, which comprises a task query unit 10, a condition monitoring unit 20, a model building unit 30, a processing analysis unit 40, a quality evaluation unit 50, a selection unit 60, an early warning unit 70, a verification unit 80, a result prediction unit 90 and a backup unit 100,
Before a construction contract enters a signed state, acquiring construction content of a current construction project by the task query unit 10, establishing a construction task, acquiring current weather conditions in a construction area by the condition monitoring unit 20 after determining a corresponding construction area, for example, acquiring temperature St, rainfall frequency Sr, air humidity Sd and the like of the construction area, simultaneously querying a supply speed of materials under the current weather conditions, for example, building materials such as cement steel bars and the like through a historical construction record, and acquiring a corresponding construction speed from the historical construction record;
summarizing the temperature St, the rainfall frequency Sr and the air humidity Sd, and establishing a construction weather condition set; building construction condition coefficients Gxs from a set of building construction weather conditions, wherein the construction condition coefficients Gxs are generated as follows:
Wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, alpha+beta=1, alpha and beta are weights, specific values of the weights are adjusted and set by a user, and D is a constant correction coefficient.
Performing correlation analysis on the construction condition coefficient Gxs and the construction speed by the processing analysis unit 40, judging the influence degree of the weather condition on the construction speed through the correlation analysis, and generating weather influence degree Txd; if the weather influence Txd exceeds the preset threshold, the early warning unit 70 sends out the first early warning information.
When the method is used, before construction, the weather conditions in the current construction area are judged, the construction weather conditions can obviously influence the construction speed, for example, under the condition of better weather conditions, the construction speed is relatively slow, the construction progress is influenced, at the moment, if the construction environment condition of the current construction area is worse, first early warning information is sent to the outside, the construction progress is convenient to adjust, and the construction task can be completed in a contracted construction period.
Referring to fig. 1 and 2, when the first warning information is not received, a construction contract is formulated based on the construction task, the construction task and the corresponding construction period recorded in the construction contract are identified, and a construction progress is formulated in combination with the construction scheme;
Summarizing data including the number of constructors, weather conditions of a construction area and the like, respectively establishing a training set and a test set, and constructing a construction prediction model by a model constructing unit 30 after training by using a neural network model; at the moment, weather conditions and material supply speed are used as inputs, and after a construction period is determined, whether the construction task can be completed in the construction period is analyzed and predicted by the trained construction prediction model;
If the construction schedule is difficult to complete, the processing analysis unit 40 corrects the current construction schedule until the current construction task can be completed in a contracted period; uploading the corrected construction schedule to the cloud;
After verification of no errors by the processing analysis unit 40, a construction contract is signed and executed, wherein the construction contract includes: paper contracts and electronic contracts, the paper contracts are signed under the line, and the electronic contracts are signed on the line; meanwhile, the video information of the signed construction contract and the signed video information are backed up to the cloud end when the construction contract and the signed video information are signed off line;
When the construction method is used, after a construction contract is determined, a construction prediction model is established, under the current construction condition, whether a construction task can be completed in a construction period is predicted, if the construction task cannot be completed in time, the construction task needs to be adjusted in time, and therefore the construction contract is ensured to have executable performance before the construction contract is signed; if the construction contract can be completed, the construction contract has the formulated condition, and meanwhile, the signing process of the construction contract is fixed, so that the signed construction contract can be prevented from being tampered, and disputes are reduced.
After the construction task enters the execution stage, the construction period is divided into a plurality of settlement periods according to the construction schedule, and financial settlement is respectively carried out in each settlement period, wherein the related settlement contents at least comprise: material cost, constructor cost and safety protection cost;
After the financial data is settled, monitoring and auditing the settlement process, if a certain balance exists in the settlement in the current settlement period, not covering all fees, and generating a balance ratio Cb according to the ratio of the balance to the set fees; meanwhile, acquiring settlement times in each settlement period, generating a settlement frequency, comparing the settlement frequency with the agreed settlement frequency, acquiring a difference value of the settlement frequency and the agreed settlement frequency, and generating a frequency ratio Pb according to the ratio of the difference value to the agreed settlement frequency;
Summarizing the difference ratio Cb and the frequency ratio Pb to generate a settlement quality set; transmitting the settlement quality set to the quality evaluation unit 50, and generating a settlement quality coefficient Jsp by the quality evaluation unit 50; the settlement quality coefficient Jsp is obtained as follows:
wherein θ is more than or equal to 0 and less than or equal to 1, γ is more than or equal to 0 and less than or equal to 1, θ+γ=1, θ and γ are weights, specific values of the weights can be adjusted and set by a user, and R 1 is a correlation coefficient between a difference ratio Cb and a frequency ratio Pb, and the correlation coefficient is obtained after correlation analysis.
If the settlement quality coefficient Jsp is greater than a preset first quality threshold, it is indicated that a certain deficiency exists in the settlement process of the current construction contract, the execution degree of the construction contract fails to reach the expected value, at this time, a certain degree of improvement is required, the construction contract needs to be adjusted, for example, when the financial settlement is difficult to be effectively executed, some compensatory clauses or punishable clauses are added; at this time, the current construction contract is revised by the processing analysis unit 40, and the revised construction contract is output.
When the method is used, when the signed contract is judged to have basic feasibility, the construction contract is executed, the execution process of the construction contract is recorded continuously, a settlement quality set is established from the record, a settlement quality coefficient Jsp is established, from the aspect of financial settlement, after a first quality threshold is preset, the execution quality of the construction contract is evaluated by the settlement quality coefficient Jsp, if the execution quality of the current construction contract is difficult to reach the expected value, at the moment, the construction contract can be revised, the execution performance of the construction contract is improved, and the execution risk of the construction contract is reduced.
Referring to fig. 1 and 2, when the construction contract is in the continuing execution stage, a spot check area is defined within the construction area of the corresponding construction site by the selection unit 60; the construction quality in the spot check area is supervised by the verification unit 80, the construction quality including: the completion degree of the agreed construction task, thereby generating a construction completion degree Wd; when the construction completion Wd does not reach the expected value, acquiring the material waste amount in the construction area, namely the waste degree of building materials in the construction area, and generating the material waste Ld;
and when the building structure in the spot inspection area is finished, at least partially inspecting and accepting the quality of the structure, wherein the related quality inspection and acceptance at least comprises the following steps: building strength conformity, size conformity and compliance degree in construction process during construction; after averaging the parameters, obtaining the construction matching degree Sd; summarizing the construction completion degree Wd, the material waste degree Ld and the construction matching degree Sd to generate a construction quality set;
When the method is used, the execution process of the construction task is monitored from the execution point of the execution task outside the financial settlement point of view, so that a construction quality set is established, and the execution degree of the current construction contract is evaluated by the construction quality set.
After the verification unit 80 acquires the construction quality set, a construction quality coefficient Ssp is generated according to the following manner: dimensionless processing is carried out on the construction completion degree Wd, the material waste degree Ld and the construction matching degree Sd, and the following formula is adopted:
Wherein, C is a constant correction coefficient, and the specific value is adjusted and set by a user.
When the method is used, the construction quality coefficient Ssp is established on the basis of the construction quality set, so that the execution effect of the current construction contract is quantitatively evaluated by the construction quality coefficient Ssp so as to be used as an improved basis; if the obtained construction quality coefficient Ssp exceeds a preset second quality threshold, the current construction quality is indicated to meet the requirement, and if the current construction quality is not exceeded; then the current construction quality is not satisfied; at this time, a plurality of historical data of the construction quality coefficient Ssp are obtained, the change of the construction quality coefficient Ssp is predicted by using a smooth index model, and after a prediction period is set, two prediction values are continuously obtained;
When the current construction quality coefficient Ssp does not exceed the preset second quality threshold, or when the current construction quality coefficient Ssp exceeds the preset second quality threshold but two continuous predicted values thereof do not exceed, it is indicated that the construction state in the construction area is difficult to reach the expectation, or is about to be lower than the expectation, and at this time, the second warning information is sent by the warning unit 70.
When the construction method is used, after the construction contract is revised for the first time, the construction process in the construction area is continuously monitored, the construction quality coefficient Ssp and the predicted value thereof are generated, the current construction quality is comprehensively judged according to the relation between the construction quality coefficient Ssp and the second quality threshold value, if the current construction quality is difficult to reach the expected value, the construction process can be adjusted, the construction contract can also be adaptively adjusted, meanwhile, after the second early warning information is sent, the construction contract is also convenient to revise in time, and the risk that the construction contract cannot be effectively executed is reduced.
After the second early warning information is acquired, the fact that a certain risk exists in the current contract in execution is indicated, and the current contract can be modified if needed; collecting current construction condition data, such as weather conditions, construction speed, material supply speed and the number of constructors, taking the construction condition data as input, and predicting the construction progress by a result prediction unit 90 by using the trained construction prediction model to judge whether the current construction task can be completed in a contracted construction period under the current construction condition;
If not, the construction condition data are adjusted until the construction task can be completed in the appointed construction period, and the modified construction condition is output; when the modified construction conditions are feasible, the current construction contract is revised according to the modified construction conditions, the revision process is fixed, for example, if the construction contract is an electronic contract, the revision process is fixed on a blockchain, if the construction contract is a paper contract, video recording is performed on the construction contract revision process, corresponding audio and video are obtained, and the audio and video are backed up at the cloud by the backup unit 100.
When the construction method is used, after the second early warning information is received, the construction progress is predicted by using the construction prediction model, whether the current construction task can be completed in a contracted construction period is judged under the current construction condition, if not, the feasible construction condition is obtained through simulation analysis, and the construction contract is revised by the revised construction condition, so that the construction contract can be smoothly executed, and the execution risk of the construction contract is reduced.
Referring to fig. 1 and 2, the present invention provides a method for managing a whole process of a construction project contract, comprising the following steps:
Step one, acquiring construction content of a current construction project, establishing a construction task, acquiring current weather conditions in a construction area after determining a corresponding construction area, establishing a construction weather condition set and generating a construction condition coefficient Gxs; the material supply speed under the current weather condition is obtained, and the corresponding construction speed is obtained from the historical construction record; judging the influence degree of weather conditions on the construction speed through correlation analysis, and generating weather influence degree Txd;
if the weather influence Txd exceeds a preset threshold value, identifying a construction task recorded in a construction contract and a corresponding construction period, and making a construction progress by combining a construction scheme; building a construction prediction model after training by using a neural network model, and analyzing and predicting whether the construction task can be completed in a construction period; if the inner part is difficult to finish, correcting the current construction schedule;
Dividing the construction period into a plurality of settlement periods according to a construction schedule, respectively carrying out financial settlement in each settlement period, monitoring the settlement process, and generating a settlement quality set and a settlement quality coefficient Jsp according to the monitoring result; if the settlement quality coefficient Jsp is larger than a preset first quality threshold, revising the current construction contract;
Fourthly, a spot check area is defined in the construction area, construction quality in the spot check area is monitored, a construction quality set and a construction quality coefficient Ssp are generated, and when the current construction quality coefficient Ssp does not exceed a preset second quality threshold or the current construction quality coefficient Ssp exceeds the preset second quality threshold, but two continuous predicted values of the current construction quality coefficient Ssp do not exceed the preset second quality threshold; predicting the construction progress by using the trained construction prediction model, and judging whether the current construction task can be completed in a construction period; if not, the construction condition data is adjusted, and the current construction contract is revised.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application.
Claims (5)
1. A full-flow management system for a construction project contract is characterized in that: comprises a condition monitoring unit (20), a model building unit (30), a processing analysis unit (40), a quality evaluation unit (50), a selection unit (60), a verification unit (80) and a result prediction unit (90), wherein,
Acquiring construction content of a current construction project, establishing a construction task, acquiring current weather conditions in a construction area by a condition monitoring unit (20) after determining a corresponding construction area, establishing a construction weather condition set and generating a construction condition coefficient Gxs; the material supply speed under the current weather condition is obtained, and the corresponding construction speed is obtained from the historical construction record; performing correlation analysis through a processing analysis unit (40), judging the influence degree of weather conditions on the construction speed, and generating weather influence degree Txd;
If the weather influence Txd exceeds a preset threshold, identifying a construction task recorded in a construction contract and a corresponding construction period, and making a construction progress by combining a construction scheme; using a neural network model, building a construction prediction model by a model building unit (30) after training, and analyzing and predicting whether the construction task can be completed in a construction period; if it is difficult to complete the correction of the current construction schedule by the processing analysis unit (40) within the construction period;
Dividing the construction period into a plurality of settlement periods according to a construction schedule, respectively carrying out financial settlement in each settlement period, monitoring the settlement process, generating a settlement quality set according to a monitoring result, generating a settlement quality coefficient Jsp by a quality evaluation unit (50), and revising the current construction contract if the settlement quality coefficient Jsp is larger than a preset first quality threshold;
A selective examination area is defined in a construction area through a selection unit (60), construction quality in the selective examination area is monitored, a construction quality set is generated, a verification unit (80) generates a construction quality coefficient Ssp, when the current construction quality coefficient Ssp does not exceed a preset second quality threshold value or when the current construction quality coefficient Ssp exceeds the preset second quality threshold value but two continuous predicted values of the current construction quality coefficient Ssp do not exceed the preset second quality threshold value, a result prediction unit (90) predicts the construction progress by using a trained construction prediction model, and whether the current construction task can be completed in a construction period is judged; if not, the construction condition data are adjusted, and the current construction contract is revised;
The construction method comprises the steps that a construction contract is subjected to construction, a task query unit (10) is used for acquiring construction content of a current construction project, a construction task is established, after a corresponding construction area is determined, a condition monitoring unit (20) is used for acquiring current weather conditions in the construction area, the current weather conditions comprise temperature St, rainfall frequency Sr and air humidity Sd of the construction area, a historical construction record is used for querying and acquiring a material supply speed under the current weather conditions, and the corresponding construction speed is acquired from the historical construction record; summarizing the temperature St, the rainfall frequency Sr and the air humidity Sd, and establishing a construction weather condition set; the construction weather condition set is established and the construction condition coefficient Gxs is established, wherein the construction condition coefficient Gxs is generated as follows:
Wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, alpha+beta is 1, alpha and beta are weights, the specific values of the weights are adjusted and set by a user, and D is a constant correction coefficient;
performing correlation analysis on the construction condition coefficient Gxs and the construction speed by the processing analysis unit (40), judging the influence degree of the weather condition on the construction speed by the correlation analysis, and generating weather influence degree Txd; if the weather influence Txd exceeds a preset threshold value, a first early warning information is sent out by an early warning unit (70),
After the construction task enters the execution stage, the construction period is divided into a plurality of settlement periods according to the construction schedule, financial settlement is respectively carried out in each settlement period, and the related settlement contents at least comprise: material cost, constructor cost and safety protection cost;
Monitoring and auditing the settlement process, and if the balance exists in the settlement in the current settlement period, not covering all fees, so as to generate a balance ratio Cb according to the ratio of the balance to the rated fees; acquiring settlement times in each settlement period, generating a settlement frequency, comparing the settlement frequency with the agreed settlement frequency, acquiring a difference value of the settlement frequency and the agreed settlement frequency, and generating a frequency ratio Pb according to the ratio of the difference value to the agreed settlement frequency; summarizing the difference ratio Cb and the frequency ratio Pb to generate a settlement quality set;
transmitting the settlement quality set to a quality evaluation unit (50), and generating a settlement quality coefficient Jsp by the quality evaluation unit (50), wherein the settlement quality coefficient Jsp is obtained in the following way:
Wherein θ is more than or equal to 0 and less than or equal to 1, γ is more than or equal to 0 and less than or equal to 1, θ+γ=1, θ and γ are weights, specific values of the weights can be adjusted and set by a user, R 1 is a correlation coefficient between a difference ratio Cb and a frequency ratio Pb, and the correlation coefficient is obtained after correlation analysis;
if the settlement quality coefficient Jsp is larger than a preset first quality threshold, revising the current construction contract by a processing analysis unit (40), and outputting the revised construction contract;
After the verification unit (80) acquires the construction quality set, a construction quality coefficient Ssp is generated according to the following mode, dimensionless processing is carried out on the construction completion degree Wd, the material waste degree Ld and the construction matching degree Sd, and the following formula is adopted:
Wherein, C is a constant correction coefficient, and the specific value is adjusted and set by a user.
2. The construction project contract full-process management system according to claim 1, wherein: when the first early warning information is not received, a construction contract is drawn based on the construction task, the construction task recorded in the construction contract and the corresponding construction period are identified, and the construction progress is drawn in combination with the construction scheme; summarizing data of construction conditions including the number of constructors, weather conditions of a construction area and the like, respectively establishing a training set and a testing set, and constructing a construction prediction model by a model constructing unit (30) after training by using a neural network model; taking weather conditions and material supply speed as inputs, and analyzing and predicting whether the construction task can be completed in the construction period by a trained construction prediction model after the construction period is determined;
If the current construction schedule is difficult to finish in the construction period, the processing analysis unit (40) corrects the current construction schedule until the current construction task can be finished in the appointed period; uploading the corrected construction schedule to the cloud; after verification of the absence of errors by the processing analysis unit (40), a construction contract is signed and executed, the construction contract comprising: paper contracts and electronic contracts, the paper contracts are signed under the line, and the electronic contracts are signed on the line; and backing up the video information of the signed construction contract and the signed video information to the cloud end when the construction contract and the signed video information are signed offline.
3. The construction project contract full-process management system according to claim 2, wherein: when the construction contract is in the continuous execution stage, a selective examination area is defined in the construction area of the corresponding construction site by a selection unit (60); -supervising by the verification unit (80) the quality of construction in the spot check area, the quality of construction comprising: the completion degree of the agreed construction task, thereby generating a construction completion degree Wd; when the construction completion Wd does not reach the expected value, acquiring the material waste amount in the construction area, namely the waste degree of building materials in the construction area, and generating the material waste Ld; at least partially subjecting the structure to quality checks, the quality checks involved at least comprising: building strength conformity, size conformity and construction matching degree Sd are obtained after the conformity degree of a construction process is averaged during construction; and summarizing the construction completion degree Wd, the material waste degree Ld and the construction matching degree Sd to generate a construction quality set.
4. A construction project contract full flow management system according to claim 3, characterized in that:
And if the construction quality coefficient Ssp does not exceed the preset second quality threshold, predicting the change of the construction quality coefficient Ssp by using a smooth index model, and when the current construction quality coefficient Ssp does not exceed the preset second quality threshold or the current construction quality coefficient Ssp exceeds the preset second quality threshold but two continuous predicted values thereof do not exceed the preset second quality threshold, sending second early warning information by the early warning unit (70).
5. The construction project contract full-process management system according to claim 4, wherein: after the second early warning information is acquired, current construction condition data including weather conditions, construction speed, material supply speed and the number of constructors are acquired, the construction condition data are taken as input, and a result prediction unit (90) predicts the construction progress by using a trained construction prediction model so as to judge whether the current construction task can be completed in a contracted construction period;
If not, the construction condition data are adjusted until the construction task can be completed in the appointed construction period, and the modified construction condition is output; when the modified construction conditions are feasible, revising the current construction contract with the modified construction conditions, fixing the revising process on a blockchain if the construction contract is an electronic contract, recording video in the revising process of the construction contract if the construction contract is a paper contract, acquiring corresponding audio and video, and backing up the audio and video at a cloud by a backup unit (100).
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090002218A (en) * | 2007-06-22 | 2009-01-09 | (주)이든넷 | On-line construction management method |
| CN104412283A (en) * | 2012-07-05 | 2015-03-11 | 弗莱克斯电子有限责任公司 | Method and system for controlling supply chains |
| CN104809591A (en) * | 2015-05-11 | 2015-07-29 | 东北电力大学 | Electric power construction engineering supervision mechanism based on big data |
| KR20170142671A (en) * | 2016-06-20 | 2017-12-28 | 주식회사 이지큐 | Method of and system for on-line construction management based on cloud |
| US10713737B1 (en) * | 2019-06-25 | 2020-07-14 | Scientia Potentia Est, LLC | Use of blockchain-based distributed ledger to reference construction metadata and to use smart contracts for a construction project |
| CN111582916A (en) * | 2020-04-21 | 2020-08-25 | 河南润德工程管理有限公司 | Comprehensive management system for construction project cost, bid inviting and consultation |
| WO2020200847A1 (en) * | 2019-04-03 | 2020-10-08 | Peri Gmbh | Automatic prediction of the usability of concrete for at least one intended use at a construction site |
| CN111898853A (en) * | 2020-06-18 | 2020-11-06 | 深圳瑞和建筑装饰股份有限公司 | Engineering construction fine management system |
| CN114663069A (en) * | 2022-04-11 | 2022-06-24 | 中国建筑第二工程局有限公司 | Engineering project contract full-process management method and system |
| CN115169818A (en) * | 2022-06-14 | 2022-10-11 | 武汉建科科技有限公司 | Digital modeling-based technical engineering measurement and calculation method and system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160292756A1 (en) * | 2015-04-02 | 2016-10-06 | Juan March Villar | Process and system for providing a fixed utility bill |
| US11348352B2 (en) * | 2019-12-26 | 2022-05-31 | Nb Ventures, Inc. | Contract lifecycle management |
-
2023
- 2023-09-06 CN CN202311144319.7A patent/CN117236880B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090002218A (en) * | 2007-06-22 | 2009-01-09 | (주)이든넷 | On-line construction management method |
| CN104412283A (en) * | 2012-07-05 | 2015-03-11 | 弗莱克斯电子有限责任公司 | Method and system for controlling supply chains |
| CN104809591A (en) * | 2015-05-11 | 2015-07-29 | 东北电力大学 | Electric power construction engineering supervision mechanism based on big data |
| KR20170142671A (en) * | 2016-06-20 | 2017-12-28 | 주식회사 이지큐 | Method of and system for on-line construction management based on cloud |
| WO2020200847A1 (en) * | 2019-04-03 | 2020-10-08 | Peri Gmbh | Automatic prediction of the usability of concrete for at least one intended use at a construction site |
| US10713737B1 (en) * | 2019-06-25 | 2020-07-14 | Scientia Potentia Est, LLC | Use of blockchain-based distributed ledger to reference construction metadata and to use smart contracts for a construction project |
| CN111582916A (en) * | 2020-04-21 | 2020-08-25 | 河南润德工程管理有限公司 | Comprehensive management system for construction project cost, bid inviting and consultation |
| CN111898853A (en) * | 2020-06-18 | 2020-11-06 | 深圳瑞和建筑装饰股份有限公司 | Engineering construction fine management system |
| CN114663069A (en) * | 2022-04-11 | 2022-06-24 | 中国建筑第二工程局有限公司 | Engineering project contract full-process management method and system |
| CN115169818A (en) * | 2022-06-14 | 2022-10-11 | 武汉建科科技有限公司 | Digital modeling-based technical engineering measurement and calculation method and system |
Non-Patent Citations (2)
| Title |
|---|
| 建设工程合同风险分析和对策;姜麟;;建材与装饰;20180330(第13期);143-144 * |
| 浅谈建筑施工企业合同的签订管理;程玉梅;;中国新技术新产品;20101025(第20期);231 * |
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