CN117808237A - Engineering progress management method, system and storage medium based on key line - Google Patents
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Abstract
The invention discloses an engineering progress management method, system and storage medium based on a key line, wherein the method comprises the following steps: s1, performing process decomposition on engineering projects, and defining a logic relationship between the immediately preceding process and the immediately following process; s2, searching the working procedures of the nodes before and after based on a neural network algorithm, and connecting wires to form a network; s3, setting the weight of the number of days of completion required by each process, and calculating the total weight of each line; s4, judging the number of the maximum weight lines, and determining different key lines and key procedures; s5, counting the completion conditions of different key circuits and key working procedures and carrying out subsequent engineering progress management. The method and the system are based on a neural network algorithm, decompose project procedures, define logic relations before and after, calculate project key lines, can achieve the purpose of rapidly and accurately calculating the longest project period of the project, solve the problems of large work load and large error of project management personnel in the project calculation period, and improve the management efficiency of the project.
Description
Technical Field
The present invention relates to the field of project progress management, and in particular, to a method, a system, and a storage medium for managing project progress based on a critical line.
Background
In the beginning of fifties of the last century, in order to adapt to the development of production and the complex scientific research of relation and the need of technical development, work and organization management, advanced industrial countries in the world have successively conducted research on new technology of plan management, wherein successful CPM (critical line method) and PERT (plan review technology) are firstly researched in the United states, and because the methods are established on the basis of a work relation network model, planning, coordination, optimization and control are organically combined, so that the method is called network planning technology in foreign countries. Currently, various advanced industrial countries in the world, such as america, russia, english, sun, law, germany, etc., are popularizing and applying network planning technology. The teaching of a famous mathematician Hua Luogeng in China is that based on the national conditions in China and the absorption of the technical theory of foreign network planning, a 'comprehensive method' scientific system is established, and the method is popularized and applied in production practice from the beginning of the sixties of the last century, so that great economic benefits are obtained.
At present, the introduction of a critical line method applied to the direct decomposition of a positive setting project or task into a series of organization management and target control projects of specific work has become a hotspot, and the application of the critical line method only has a plurality of defects and disadvantages: the application of the technology depends on the support of computer technology, and is difficult to complete only by manpower, wherein the application needs proper network model establishment, modification, algorithm optimization, calculation of time parameters, optimization control of construction period targets, optimization control of resource targets and the like; the method for judging the key lines in project or task organization management and target control plans needs to respectively calculate the time parameters of each line consisting of key works. In engineering project management, when the project scale is large and the procedures are numerous, the statistics of the construction period has large workload, and is usually analyzed according to experience, so that the construction period with large errors can be calculated for ensuring the completion, thereby not only influencing the project yield value and bringing adverse effects to enterprises for receiving the project, but also being more dependent on the experience of personnel, and influencing the judgment of the construction period if the personnel flow.
Disclosure of Invention
The embodiment of the invention provides an engineering progress management method based on a key line for overcoming the defects of the prior art,
the invention provides an engineering progress management method based on a key line, which is characterized by comprising the following steps of:
s1, performing process decomposition on engineering projects, and defining different logic relations of processes before and after each process;
s2, searching the working procedures of the nodes before and after based on a neural network algorithm, and connecting wires to form a network;
s3, setting the weight of the number of days of completion required by each process, and calculating the total weight of each line;
s4, judging the number of the maximum weight lines, and determining different key lines and key procedures;
s5, independently counting the completion conditions of different key circuits and key working procedures, and carrying out subsequent engineering progress control management.
Preferably, the S2 specifically includes:
s21, establishing a BP neural network, and setting a known input procedure as a vector X= (X) 1 ,x 2 ,…，x n ) N is the number of known input steps, and the target output step is vector d= (D) 1 ,d 2 ,…，d l ) L is the number of target output procedures, the number of neurons of a network input layer, an hidden layer and an output layer is determined according to the known input procedure vector X and the target output procedure vector D, and the direct connection weight v of each layer of neurons is initialized ij ,w jk Initializing an implicit layer threshold a, outputting a layer threshold b, and setting a learning rate and a neuron transfer function;
s22, according to the known input engineeringSequence vector X, input layer and implicit inter-layer connection weight v ij And a hidden layer threshold value a, calculating a hidden layer output y i ；
S33, outputting y according to the hidden layer i Connection weight w jk And a threshold b, calculating an actual output vector O of the BP neural network;
s34, calculating and updating the overall error E of the network according to the actual output O and the target output D of the network;
s35, updating the network connection weight v according to the overall error E of the network ij 、w jk ；
And S36, judging whether algorithm iteration is finished, if not, returning to the step S22, and repeating the steps for training and learning for a plurality of times until the output network topology is consistent, wherein the result indicates that the double-code network diagram is established successfully.
Preferably, the hidden layer outputs y i The calculation formula is satisfied:
wherein m is the number of hidden layer nodes, v i0 ＝-1,x 0 ＝a j The method comprises the steps of carrying out a first treatment on the surface of the Defining f (x) as an implicit layer transfer function, and satisfying a calculation formula:
preferably, the actual output O of the BP neural network satisfies a calculation formula:
preferably, the overall network error E satisfies a calculation formula:
preferably, the network connection weight v ij ,w jk The calculation formula is satisfied: v ij ＝v ij +Δv ij ，w jk ＝v jk +Δv jk ；In (1) the-> Where η is the learning rate.
The training and learning are repeated for multiple times according to the difficulty of the known number of input working procedures of 1 interval, 2 interval and … … interval 6, and the training results are compared until the output network topology diagrams are overlapped and consistent, so that the double-code network diagram is successfully established.
And calculating the total weight of the lines, namely introducing weight values into each process in the matrix, calculating the sum of the weights of all the lines in the double-code network diagram, and finding out N lines with the largest weight through comparison, namely the key line.
Preferably, if the number of the lines with the maximum weight is n=1, the line is a critical line, and all the processes M on the line are critical processes; if the number of the lines is greater than 1, the lines with the greatest weight are provided with N lines, the codes of the N key lines are defined as LN, and the codes of the N processes are defined as LN and N.
The invention also provides an engineering progress management system based on the key line, which comprises: the system comprises a plan management module, a procedure management module, a component management module, a server, a progress management module, an early warning management module and a plan changing module.
Preferably, the schedule management module is used for uploading an annual schedule table, simulating the calculated construction period based on a neural network algorithm, and making proper adjustment;
the procedure management module is used for decomposing all engineering quantities into a plurality of procedures according to construction steps of engineering projects, naming and coding, and working out duration time days of each procedure according to construction management experience;
the component management module is used for decomposing the engineering into a plurality of components and structurally supporting the follow-up actual progress statistics;
the server is used for storing, calculating and receiving data of each module in the engineering progress management system based on the key line;
the progress management module is used for counting actual completion conditions of projects and carrying out data support for comparison of planning progress;
the early warning management module is used for marking the starting time and the finishing time of the key working procedure on the key line, and reminding a manager of timely schedule adjustment of the early warning project progress when the immediately preceding working procedure in the actual progress is later than the scheduled time;
the plan changing module is used for timely adjusting the annual schedule according to the actual process schedule condition.
The present invention also provides a computer-readable storage medium having stored therein a computer program that is executed by a processor to implement the critical line-based engineering progress management method.
The invention has the beneficial effects that: the method can realize the purpose of rapidly and accurately calculating the longest project period of the project, solves the problems of large work load and large error of project manager in the project calculation period, and improves the management efficiency of the project.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an engineering progress management method based on a key line according to an embodiment of the invention;
FIG. 2 is a block diagram of a critical line-based project progress management system in accordance with an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail below with reference to the drawings and detailed description for the purpose of better understanding of the technical solution of the present invention to those skilled in the art. Embodiments of the present invention will hereinafter be described in detail, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present invention and are not to be construed as limiting the present invention. As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or coupled. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items. It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1, in an embodiment of the present invention, an engineering progress management method based on a critical line, as shown in the figure, includes:
s1, performing process decomposition on engineering projects, and defining different logic relations of processes before and after each process;
s2, searching the working procedures of the nodes before and after based on a neural network algorithm, and connecting wires to form a network;
s3, setting the weight of the number of days of completion required by each process, and calculating the total weight of each line;
s4, judging the number of the maximum weight lines, and determining different key lines and key procedures;
s5, independently counting the completion conditions of different key circuits and key working procedures, and carrying out subsequent engineering progress control management.
Preferably, the S2 specifically includes:
s21, establishing a BP neural network, and setting a known input procedure as a vector X= (X) 1 ,x 2 ,…，x n ) N is the number of known input steps, and the target output step is vector d= (D) 1 ,d 2 ,…，d l ) L is the number of target output procedures, the number of neurons of a network input layer, an hidden layer and an output layer is determined according to the known input procedure vector X and the target output procedure vector D, and the direct connection weight v of each layer of neurons is initialized ij ,w jk Initializing an implicit layer threshold a, outputting a layer threshold b, and setting a learning rate and a neuron transfer function; s22, according to the known input procedure vector X, connecting the input layer with the hidden interlayer with the weight v ij And a hidden layer threshold value a, calculating a hidden layer output y i ；
S33, outputting y according to the hidden layer i Connection weight w jk And a threshold b, calculating an actual output vector O of the BP neural network;
s34, calculating and updating the overall error E of the network according to the actual output O and the target output D of the network;
s35, updating the network connection weight v according to the overall error E of the network ij 、w jk ；
And S36, judging whether algorithm iteration is finished, if not, returning to the step S22, and repeating the steps for training and learning for a plurality of times until the output network topology is consistent, wherein the result indicates that the double-code network diagram is established successfully.
In the embodiment of the invention, the BP neural network has a nonlinear mapping function and is suitable for finding the relation among a plurality of construction procedures. The algorithm mainly sorts out all lines among various working procedures, the number of days of each working procedure can be understood as weight, the weight is multiplied on all sorted out lines, and the total number of days of each line is calculated.
Specifically, the hidden layer outputs y i The calculation formula is satisfied: wherein m is the number of hidden layer nodes, v i0 ＝-1,x 0 ＝a j The method comprises the steps of carrying out a first treatment on the surface of the Defining f (x) as an implicit layer transfer function, and satisfying a calculation formula: />
The actual output O of the BP neural network in the embodiment of the invention meets the calculation formula:preferably, the overall network error E satisfies a calculation formula: />
Wherein the network connection weight v ij ,w jk The calculation formula is satisfied: v ij ＝v ij +Δv ij ，w jk ＝v jk +Δv jk ；In (1) the-> Where η is the learning rate.
Preferably, if the number of the lines with the maximum weight is n=1, the line is a critical line, and all the processes M on the line are critical processes; if the number of the lines is greater than 1, N lines with the largest weight are provided, and the codes of N key lines are defined as L N The code of n procedures is L N,n 。
Referring to fig. 2, the present invention further provides an engineering progress management system based on a critical line, as shown in the fig. 2, the system includes: the system comprises a plan management module, a procedure management module, a component management module, a server, a progress management module, an early warning management module and a plan changing module. The server is electrically connected with the planning management module, the procedure management module, the component management module, the progress management module, the early warning management module and the planning change module.
Preferably, the schedule management module is used for uploading an annual schedule table, simulating the calculated construction period based on a neural network algorithm, and making proper adjustment;
the procedure management module is used for decomposing all engineering quantities into a plurality of procedures according to construction steps of engineering projects, naming and coding, and working out duration time days of each procedure according to construction management experience;
the component management module is used for decomposing the engineering into a plurality of components and structurally supporting the follow-up actual progress statistics;
the server is used for storing, calculating and receiving data of each module in the engineering progress management system based on the key line;
the progress management module is used for counting actual completion conditions of projects and carrying out data support for comparison of planning progress;
the early warning management module is used for marking the starting time and the finishing time of the key working procedure on the key line, and reminding a manager of timely schedule adjustment of the early warning project progress when the immediately preceding working procedure in the actual progress is later than the scheduled time;
the plan changing module is used for timely adjusting the annual schedule according to the actual process schedule condition.
In the embodiment of the invention, the components are divided into a plurality of projects, such as road projects, preferably roadbed, pavement, deep foundation pit and other components.
It will be appreciated by those skilled in the art that all or part of the flow of the method implementing the above embodiments may be implemented by computer programs to instruct related hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the method flow steps of the embodiments of the method described above.
Accordingly, the present invention also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the above-described one of the critical line-based engineering progress management methods.
In summary, the invention discloses a key line-based engineering progress management method, a system and a storage medium, wherein the method comprises the following steps: s1, performing process decomposition on engineering projects, and defining a logic relationship between the immediately preceding process and the immediately following process; s2, searching the working procedures of the nodes before and after based on a neural network algorithm, and connecting wires to form a network; s3, setting the weight of the number of days of completion required by each process, and calculating the total weight of each line; s4, judging the number of the maximum weight lines, and determining different key lines and key procedures; s5, counting the completion conditions of different key circuits and key working procedures and carrying out subsequent engineering progress management. The method and the system are based on a neural network algorithm, decompose project procedures, define logic relations before and after, calculate project key lines, can achieve the purpose of rapidly and accurately calculating the longest project period of the project, solve the problems of large work load and large error of project management personnel in the project calculation period, and improve the management efficiency of the project.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (10)
1. An engineering progress management method based on a key line, which is characterized by comprising the following steps:
s1, performing process decomposition on engineering projects, and defining different logic relations of processes before and after each process;
s2, searching the working procedures of the nodes before and after based on a neural network algorithm, and connecting wires to form a network;
s3, setting the weight of the number of days of completion required by each process, and calculating the total weight of each line;
s4, judging the number of the maximum weight lines, and determining different key lines and key procedures;
s5, independently counting the completion conditions of different key circuits and key working procedures, and carrying out subsequent engineering progress control management.
2. The engineering progress management method based on a critical line according to claim 1, wherein the step S2 specifically includes:
s21, establishing a BP neural network, and setting a known input procedure as a vector X= (X) 1 ,x 2 ,…，x n ) N is the number of known input steps, and the target output step is vector d= (D) 1 ,d 2 ,…，d l ) L is the number of target output procedures, and the network input layer, hidden layer and target output procedure vector D are determined according to the known input procedure vector X and the target output procedure vector DOutputting the number of the layer neurons, and initializing the direct connection weight v of each layer of neurons ij ,w jk Initializing an implicit layer threshold a, outputting a layer threshold b, and setting a learning rate and a neuron transfer function;
s22, according to the known input procedure vector X, connecting the input layer with the hidden interlayer with the weight v ij And a hidden layer threshold value a, calculating a hidden layer output y i ；
S33, outputting y according to the hidden layer i Connection weight w jk And a threshold b, calculating an actual output vector O of the BP neural network;
s34, calculating and updating the overall error E of the network according to the actual output O and the target output D of the network;
s35, updating the network connection weight v according to the overall error E of the network ij 、w jk ；
And S36, judging whether algorithm iteration is finished, if not, returning to the step S22, and repeating the steps for training and learning for a plurality of times until the output network topology is consistent, wherein the result indicates that the double-code network diagram is established successfully.
3. The critical line-based engineering progress management method of claim 2, wherein the hidden layer outputs y i The calculation formula is satisfied:
wherein m is the number of hidden layer nodes, v i0 ＝-1,x 0 ＝a j The method comprises the steps of carrying out a first treatment on the surface of the Defining f (x) as an implicit layer transfer function, and satisfying a calculation formula:
4. the engineering progress management method based on the key line according to claim 2, wherein the actual output O of the BP neural network satisfies a calculation formula:
5. the engineering progress management method based on a critical line according to claim 2, wherein the overall network error E satisfies a calculation formula:
6. the method for managing engineering progress based on key line according to claim 2, wherein the network connection weight v ij ,w jk The calculation formula is satisfied:
v ij ＝v ij +Δv ij ，w jk ＝v jk +Δv jk ；
in the method, in the process of the invention,where η is the learning rate.
7. The method according to claim 1, wherein the number of the maximum weighted lines is the critical line if the number of the lines n=1, and all the processes M on the line are critical processes; if the number of the lines is greater than 1, N lines with the largest weight are provided, and the codes of N key lines are defined as L N The code of n procedures is L N,n 。
8. An engineering progress management system based on a key line, comprising: the system comprises a plan management module, a procedure management module, a component management module, a server, a progress management module, an early warning management module and a plan changing module.
9. The project progress management system based on the key line according to claim 8, wherein the plan management module is used for uploading an annual schedule and making proper adjustment based on the calculated construction period simulated by the neural network algorithm;
the procedure management module is used for decomposing all engineering quantities into a plurality of procedures according to construction steps of engineering projects, naming and coding, and working out duration time days of each procedure according to construction management experience;
the component management module is used for decomposing the engineering into a plurality of components and structurally supporting the follow-up actual progress statistics;
the server is used for storing, calculating and receiving data of each module in the engineering progress management system based on the key line;
the progress management module is used for counting actual completion conditions of projects and carrying out data support for comparison of planning progress;
the early warning management module is used for marking the starting time and the finishing time of the key working procedure on the key line, and reminding a manager of timely schedule adjustment of the early warning project progress when the immediately preceding working procedure in the actual progress is later than the scheduled time;
the plan changing module is used for timely adjusting the annual schedule according to the actual process schedule condition.
10. A computer readable storage medium, wherein a computer program is stored in the storage medium, the computer program being executed by a processor to implement the critical line-based engineering progress management method of any of claims 1-7.
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