CPS-based engineering project full-period management method and system

Abstract

The invention relates to the technical field of engineering project management, and discloses a CPS-based engineering project full-period management method and system, and the method comprises the steps: obtaining the overall information of an engineering project and the historical data of the engineering project, first one-dimensional structure data and second one-dimensional structure data are constructed based on engineering project overall information and engineering project historical data, the first one-dimensional structure data and the second one-dimensional structure data are input into a project management model, a project management strategy is output, and an engineering project is executed according to the project management strategy. When the project management strategy is executed, all tasks in the key task cluster are analyzed one by one, and it is ensured that the tasks are completed within the specified limited time. Resource allocation is dynamically adjusted through real-time engineering project management, so that the probability of potential risk occurrence is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering project management, and more specifically, to a CPS-based engineering project full-cycle management method and system. Background Art

[0002] In modern engineering project management, as the scale of projects continues to expand and the complexity increases, how to achieve effective full-cycle management has become an urgent problem to be solved. In this context, the full-cycle management method and system of engineering projects based on CPS (critical path scheduling) came into being. Engineering project management involves many aspects, including project demand analysis, resource allocation, task allocation, progress control, and risk management, each of which may affect the overall performance of the project. Traditional project management methods often rely too much on the experience and intuition of project managers, and lack systematic and automated support tools, which makes them show many shortcomings when facing the modern project environment with large amounts of information and rapid changes.

[0003] However, in practice, CPS often faces problems such as incomplete information, unclear resource constraints, and changes in the external environment, which greatly reduces the effectiveness of its application in the full-cycle management of engineering projects. Therefore, how to effectively integrate engineering project information, resource information, and external environment information, and use advanced data analysis technology to mine information and support decision-making, has become a top priority. Summary of the invention

[0004] The present invention provides a full-cycle management method and system for engineering projects based on CPS, which processes the overall information and historical data of engineering projects through intelligent means. Feature engineering technology is used in the system to deeply mine information such as project requirements, resource allocation, and external environment, generate corresponding feature representations, and realize the automatic output of project management strategies through a series of deep learning models. In this process, feature engineering not only improves the utilization efficiency of data, but also provides more accurate and comprehensive input data support for critical path scheduling. In addition, through the analysis of historical data, the system can predict the probability of risks in project tasks and provide forward-looking decision support for managers.

[0005] The present invention provides a CPS-based full-cycle management method for an engineering project, comprising the following steps:

[0006] Step 100, obtaining overall information of the project, which includes project information, resource allocation information, and external environment information; obtaining historical data of the project, which includes historical task information of the project, historical resource usage information of the project, historical external environment information of the project, and historical personnel cooperation records of the project;

[0007] Step 200, obtaining No. 1 one-dimensional structure data based on the overall information of the engineering project, wherein the No. 1 one-dimensional structure data includes n data items sorted by time, and the t-th data item represents the No. 1 two-dimensional structure data generated by the overall information of the engineering project collected at the t-th moment;

[0008] Step 300, obtaining second one-dimensional structure data based on the order of the engineering project historical data, the second one-dimensional structure data including s data items ordered by time, the fth data item representing the engineering project historical data collected at the fth moment;

[0009] Step 400, input the one-dimensional structure data No. 1 and the one-dimensional structure data No. 2 into the project management model, the project management model includes a first intermediate layer, a second intermediate layer, a third intermediate layer, a first data fusion layer, a first output layer, and a second output layer; the one-dimensional structure data No. 1 is input into the first intermediate layer, and the first intermediate representation data is output to the second intermediate layer; the second intermediate layer outputs the second intermediate representation data to the first data fusion layer; the first data fusion layer outputs the first data fusion representation data to the first output layer; the first output layer outputs the project management strategy; the one-dimensional structure data No. 2 is input into the third intermediate layer, and the third intermediate representation data is output to the first data fusion layer and the second output layer; the second output layer outputs the probability distribution of the risk of the engineering project task.

[0010] In a preferred embodiment, the project information includes:

[0011] The project description text consists of project requirement information, project task information, and project expectation information. The requirement information indicates detailed information about the problem to be solved by the project or the requirements of the customer for the project. The task information includes the ID of the project task, the resources required for the project task, and the goal of the project task. The expectation information includes the expected results, quality standards, expected time and budget of the project.

[0012] Resource configuration information includes:

[0013] Resource configuration description text consisting of personnel information and materials; personnel information includes personnel ID and personnel skills;

[0014] External environmental information includes:

[0015] A text describing the external environment consisting of policy information, environmental information, and market information; policy information refers to the relevant regulations and requirements formulated by the government for engineering projects; environmental information includes the location of the project and surrounding infrastructure and weather information; market information refers to price fluctuation information in the engineering materials market.

[0016] In a preferred embodiment, the method for obtaining corresponding features from the overall information of the project and the historical data of the project through feature engineering is as follows:

[0017] The overall information of the project includes the project description text, resource configuration description text, and external environment description text. The WordEmbedding algorithm is used as a feature engineering method to generate project features, resource configuration features, and external environment features.

[0018] The engineering project historical data includes the engineering project historical data text, and the engineering project historical data features are generated by using the WordEmbedding algorithm as a feature engineering method.

[0019] In a preferred embodiment, the constructed two-dimensional structure data No. 1 includes:

[0020] The No. 1 two-dimensional structure data includes a data matrix and a relationship matrix. A unit of the data matrix represents the overall information of an independent object of the project. The independent object includes the project, resource allocation, and external environment. A unit of the data matrix only contains the overall information of the independent object it represents.

[0021] The element in the i-th row and j-th column of the relationship matrix represents the association between the i-th cell of the data matrix and the independent object represented by the j-th cell. If there is an association, the value of this element of the relationship matrix is ​​1, otherwise it is 0.

[0022] In a preferred embodiment, the association relationship between independent objects is expressed as follows:

[0023] The relationship between engineering projects and resource allocation means that engineering projects require resources to maintain and carry out engineering projects; the relationship between engineering projects and the external environment means that the implementation of engineering projects is affected by the external environment; the relationship between resource allocation and the external environment means that the cost of resource allocation is affected by the external environment.

[0024] In a preferred embodiment, the project management strategy includes:

[0025] Classification of engineering project tasks, 0 represents critical tasks, 1 represents non-critical tasks; critical task clusters consisting of one critical task and multiple non-critical tasks; execution order of critical task clusters; execution time limit of critical task clusters; probability of potential risks occurring in critical task clusters, potential risks are represented as resource consumption risk, completion time risk, cost risk, quality risk, technical risk, and safety risk.

[0026] In a preferred embodiment, a critical task cluster is represented by a critical task and its affiliated non-critical tasks. A critical task is represented by a task that cannot be delayed in an engineering project and directly affects the completion time of the project; a non-critical task is represented by a task that can have a certain delay without affecting the overall project.

[0027] In a preferred embodiment, the total number n of data items of the first one-dimensional structure data is the same as the total number s of data items of the second one-dimensional structure data.

[0028] In a preferred embodiment, the third intermediate layer is trained in conjunction with the second output layer, and the training project management model can accurately determine whether potential risks will occur during the execution of engineering project tasks, and what kind of potential risks will occur.

[0029] In a preferred embodiment, a CPS-based engineering project full-cycle management system includes the following modules:

[0030] Data collection module, which is used to obtain overall information of the project and historical data of the project;

[0031] A data encoding module is used to encode the overall information of the project into a one-dimensional structure data No. 1, wherein the one-dimensional structure data contains n data items, and one data item represents a one-dimensional structure data No. 1 constructed by the overall information of the project at a moment, wherein the one-dimensional data No. 1 contains a data matrix and a relationship matrix; and encode the historical data of the project into a one-dimensional structure data No. 2, wherein the one-dimensional structure data No. 2 contains s data items, and one data item represents the historical data of the project at a moment;

[0032] A data processing module, which is used to input the No. 1 one-dimensional structure data and the No. 1 two-dimensional structure data into the project management model and output the project management strategy;

[0033] The engineering project execution module executes various tasks in the engineering project according to the project management strategy.

[0034] The beneficial effects of the present invention are:

[0035] The present invention constructs an end-to-end project management model, which includes multiple intermediate layers and an output layer. The model can realize feature extraction and fusion of No. 1 one-dimensional structure data and No. 2 one-dimensional structure data through multiple intermediate layers, and finally output the project management strategy and the probability distribution of the risk of engineering project tasks at the same time. This model architecture is reasonably designed, the information flow is smooth, and the whole process optimization from data to decision-making is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a CPS-based full-cycle management method for engineering projects of the present invention. DETAILED DESCRIPTION

[0037] The subject matter described herein will now be discussed with reference to example implementations. It should be understood that the discussion of these implementations is only to enable those skilled in the art to better understand and implement the subject matter described herein, and the functions and arrangements of the elements discussed may be changed without departing from the scope of protection of the present specification. Various examples may omit, replace, or add various processes or components as needed. In addition, the features described in some examples may also be combined in other examples.

[0038] At least one embodiment of the present invention discloses a full-cycle management method for engineering projects based on CPS, such as Figure 1 As shown, the following steps are included:

[0039] Step 100, obtaining overall information of the project, which includes project information, resource allocation information, and external environment information; obtaining historical data of the project, which includes historical task information of the project, historical resource usage information of the project, historical external environment information of the project, and historical personnel cooperation records of the project;

[0040] Project information includes: project description text consisting of project requirement information, project task information, and project expectation information; requirement information indicates detailed information about the problem to be solved by the project or the requirements of the customer for the project; task information includes the ID of the project task, the resources required for the project task, and the goal of the project task; expectation information includes the expected results, quality standards, expected time and budget of the project;

[0041] Resource configuration information includes: personnel information, resource configuration description text composed of materials and supplies; personnel information includes personnel ID and personnel skills;

[0042] External environmental information includes: external environment description text composed of policy information, environmental information, and market information; policy information is represented by relevant regulations and requirements formulated by the government for engineering projects, such as the tightening of environmental protection regulations may affect construction; environmental information includes the location of the project and surrounding infrastructure and weather information. For example, if the project is located near a residential area, attention must be paid to environmental protection and noise interference during construction; or if high temperature, extreme cold, or natural disasters occur, the construction site may be passively stopped; market information is represented by market economic fluctuations, such as price increases in the building materials market leading to increased project costs.

[0043] In one embodiment of the present invention, the overall information of the engineering project and the historical data of the engineering project are subjected to feature engineering to obtain corresponding features;

[0044] The overall information of the project includes the project description text, resource configuration description text, and external environment description text. The WordEmbedding algorithm is used as a feature engineering method to generate project features, resource configuration features, and external environment features.

[0045] The engineering project historical data includes the engineering project historical data text, and the engineering project historical data features are generated by using the WordEmbedding algorithm as a feature engineering method;

[0046] Step 200, obtaining No. 1 one-dimensional structure data based on the overall information of the engineering project, wherein the No. 1 one-dimensional structure data includes n data items sorted by time, and the t-th data item represents the No. 1 two-dimensional structure data generated by the overall information of the engineering project collected at the t-th moment;

[0047] The No. 1 two-dimensional structure data includes a data matrix and a relationship matrix. A unit of the data matrix represents the overall information of an independent object of the project. The independent object includes the project, resource allocation, and external environment. A unit of the data matrix only contains the overall information of the independent object it represents.

[0048] The element in the i-th row and j-th column of the relationship matrix represents the association between the i-th unit of the data matrix and the independent object represented by the j-th unit. If there is an association, the value of this element of the relationship matrix is ​​1, otherwise it is 0;

[0049] The relationship between engineering projects and resource allocation refers to the fact that engineering projects require resources to maintain and carry out engineering projects;

[0050] The relationship between engineering projects and the external environment means that the implementation of engineering projects is affected by the external environment;

[0051] The relationship between resource allocation and external environment means that the cost of resource allocation is affected by the external environment.

[0052] Step 300, obtaining second one-dimensional structure data based on the order of the engineering project historical data, the second one-dimensional structure data including s data items ordered by time, the fth data item representing the engineering project historical data collected at the fth moment;

[0053] Step 400, input the one-dimensional structure data No. 1 and the one-dimensional structure data No. 2 into the project management model, the project management model includes a first intermediate layer, a second intermediate layer, a third intermediate layer, a first data fusion layer, a first output layer, and a second output layer; the one-dimensional structure data No. 1 is input into the first intermediate layer, and the first intermediate representation data is output to the second intermediate layer; the second intermediate layer outputs the second intermediate representation data to the first data fusion layer; the first data fusion layer outputs the first data fusion representation data to the first output layer; the first output layer outputs the project management strategy; the one-dimensional structure data No. 2 is input into the third intermediate layer, and the third intermediate representation data is output to the first data fusion layer and the second output layer; the second output layer outputs the probability distribution of the risk of the engineering project task.

[0054] In one embodiment of the present invention, a critical task cluster is represented by a critical task and its affiliated non-critical tasks. The critical tasks are represented by tasks that cannot be delayed in an engineering project and directly affect the completion time of the project, such as foundation laying tasks; non-critical tasks are represented by tasks that can have a certain delay without affecting the overall project, such as wall painting tasks.

[0055] In one embodiment of the present invention, the calculation formula of the first intermediate layer is as follows:

[0056] ;

[0057] in The first intermediate representation data of the vth unit of the data matrix representing the tth data item in the one-dimensional structure data number one, is the set of cells of the data matrix associated with the vth cell of the data matrix of the tth data item in the one-dimensional structure data number one, and The vth and uth units of the data matrix of the tth data item in the one-dimensional structure data represent the overall information of the engineering project of the independent object, respectively. is a learnable scalar parameter, represents the two-dimensional recognition weight parameter, Represents a multilayer perceptron.

[0058] In one embodiment of the present invention, the calculation formula of the second intermediate layer is as follows:

[0059] ;

[0060] ;

[0061] ;

[0062] ;

[0063] in, , , represents the first, second, and third weight parameters, , , represents the first, second and third bias parameters, represents the dot product, , and Represent the first, second, and third intermediate states respectively, where , represents the set of cells of all data matrices of the t-th data item of the one-dimensional structured data, and They represent the t-th and t-1-th second intermediate representation data, respectively. n≥t≥1, where n represents the total number of data items of the one-dimensional structure data. When t=1 ,at this time It represents the tth data item of the one-dimensional structure data. Tanh is the hyperbolic tangent function. Represents the sigmoid function.

[0064] In one embodiment of the present invention, the calculation formula of the third intermediate layer is as follows:

[0065] ;

[0066] in Indicates A third intermediate representation data, Indicates A third intermediate representation data, , The total number of data items representing the second-dimensional structure data, The first one-dimensional structure data data items, and are the fourth and fifth weight parameters, is the fourth bias parameter, and tanh is the hyperbolic tangent function.

[0067] In one embodiment of the present invention, the calculation formula of the first data fusion layer is as follows:

[0068] ;

[0069] in, represents the first fusion representation data, represents the fusion function, Indicates A second intermediate representation data, Indicates A third intermediate representation data, represents the sum weight matrix, Represents the summation bias parameter.

[0070] In one embodiment of the present invention, the calculation formula of the first output layer is as follows:

[0071] ;

[0072] in represents the first output vector, and its ath component value represents the probability value of the ath project management strategy. The project management strategy with the largest probability value is selected as the output. The project management strategy group contains all executable project management strategies. represents the first fusion representation data, is the first output weight parameter, is the first output bias parameter, Represents the sigmoid function.

[0073] In one embodiment of the present invention, a project management strategy is represented by a matrix, and the first row of the matrix Column represents the The categories of the engineering project tasks, 1 represents a critical task, and 0 represents a non-critical task; the second row of the matrix Column represents the The key task ID of the non-key task of the project; the key task ID of the third row of the matrix Column represents the The ID of the execution order of the key task clusters; the ID of the fourth row of the matrix Column represents the The execution limit time of the key task cluster; the fifth row of the matrix Column represents the The probability of potential risks occurring in each key task cluster is expressed as resource consumption risk, completion time risk, cost risk, quality risk, technical risk, and safety risk.

[0074] In one embodiment of the present invention, the calculation formula of the second output layer is as follows:

[0075] ;

[0076] in represents the second output vector, whose cth component represents the probability distribution of potential risks of the cth engineering project task. Indicates A third intermediate representation data, is the second output weight parameter, is the second output bias parameter, Represents the sigmoid function.

[0077] In one embodiment of the present invention, for the dth task of the engineering project, the probability distribution of its potential risk is as follows:

[0078] ;

[0079] in, represents the risk probability of resource consumption, represents the risk probability of completion time, represents the probability of cost risk, It represents the probability of quality risk, 0.05 represents the probability of technical risk, and 0.25 represents the probability of safety risk.

[0080] In one embodiment of the present invention, the third intermediate layer is trained in combination with the second output layer, and the training project management model can accurately determine whether potential risks will occur during the execution of the engineering project task and what kind of potential risks will occur. The loss function calculation formula is as follows:

[0081] ;

[0082] in represents the loss value, M represents the number of potential risk categories, Indicates the number of tasks for the project. It is The symbol value of a project task, if the The potential risk that actually occurs in the project task is the potential risk of the cth category and its value is 1, otherwise it is 0. is the first The probability of the cth potential risk category occurring in a project task, Represents the logarithmic function with the natural constant e as the base.

[0083] In one embodiment of the present invention, the project management model is trained, and the steps of training the project management model include:

[0084] Step 101, initializing parameters of the project management model;

[0085] Step 102: Observe the overall information of the project at time e , project management strategy implemented at all times , Overall information of the project at time e+1 , implement project management strategies Rewards ;

[0086] Step 103, then calculate the project management strategy error:

[0087] ;

[0088] in represents the project management strategy error at time e, represents the discount factor, , Represents the project management model input The maximum probability value in the first output vector output when Represents the project management model input The first output vector corresponds to the project management strategy The probability value of

[0089] ;

[0090] in, Indicates the total time limit of the project. Indicates the actual execution time of the project. It indicates the time when the project cannot be executed due to insufficient resources. Indicates the actual score during project quality acceptance. Indicates the maximum score for project quality acceptance, It represents the actual cost of the project to deal with risks. Represents the total budget of the project.

[0091] Step 104, update the project management model, the updated formula is as follows:

[0092] ;

[0093] , represents the step size of deep learning, Indicates delivery update;

[0094] Step 105, iterate steps 102-104 until the project management model converges or the number of iterations reaches a set value. The default value of this value is 20.

[0095] In one embodiment of the present invention, a CPS-based engineering project full-cycle management system includes the following modules:

[0096] Data collection module, which is used to obtain overall information of the project and historical data of the project;

[0097] A data encoding module is used to encode the overall information of the project into a one-dimensional structure data No. 1, wherein the one-dimensional structure data contains n data items, and one data item represents a one-dimensional structure data No. 1 constructed by the overall information of the project at a moment, wherein the one-dimensional data No. 1 contains a data matrix and a relationship matrix; and encode the historical data of the project into a one-dimensional structure data No. 2, wherein the one-dimensional structure data No. 2 contains s data items, and one data item represents the historical data of the project at a moment;

[0098] A data processing module, which is used to input the No. 1 one-dimensional structure data and the No. 1 two-dimensional structure data into the project management model and output the project management strategy;

[0099] The engineering project execution module executes various tasks in the engineering project according to the project management strategy.

[0100] The above describes an embodiment of the present invention, but this embodiment is not limited to the above-mentioned specific implementation mode. The above-mentioned specific implementation mode is merely illustrative and not restrictive. Under the guidance of this embodiment, ordinary technicians in this field can also make more forms of equivalent embodiments, all of which are within the protection of this embodiment.

Claims

1. A full-cycle management method for engineering projects based on CPS, characterized in that: The following steps are involved: Step 100, obtaining overall information of the project, which includes project information, resource allocation information, and external environment information; obtaining historical data of the project, which includes historical task information of the project, historical resource usage information of the project, historical external environment information of the project, and historical personnel cooperation records of the project; Step 200, obtaining No. 1 one-dimensional structure data based on the overall information of the engineering project, wherein the No. 1 one-dimensional structure data includes n data items sorted by time, and the t-th data item represents the No. 1 two-dimensional structure data generated by the overall information of the engineering project collected at the t-th moment; Step 300, obtaining second one-dimensional structure data based on the order of the engineering project historical data, the second one-dimensional structure data including s data items ordered by time, the fth data item representing the engineering project historical data collected at the fth moment; Step 400, inputting the first one-dimensional structure data and the second one-dimensional structure data into a project management model, the project management model comprising a first intermediate layer, a second intermediate layer, a third intermediate layer, a first data fusion layer, a first output layer, and a second output layer; The first one-dimensional structure data is input into the first intermediate layer, and the first intermediate representation data is output to the second intermediate layer; The second intermediate layer outputs the second intermediate representation data to the first data fusion layer; the first data fusion layer outputs the first data fusion representation data to the first output layer; the first output layer outputs the project management strategy; The second one-dimensional structure data is input into the third intermediate layer, and the third intermediate representation data is output to the first data fusion layer and the second output layer; the second output layer outputs the probability distribution of the risk of the engineering project task.

2. According to the CPS-based full-cycle management method for engineering projects according to claim 1, it is characterized in that: Project information includes: The project description text consists of project requirement information, project task information, and project expectation information. The requirement information indicates detailed information about the problem to be solved by the project or the requirements of the customer for the project. The task information includes the ID of the project task, the resources required for the project task, and the goal of the project task. The expectation information includes the expected results, quality standards, expected time and budget of the project. Resource configuration information includes: Resource configuration description text consisting of personnel information and materials; personnel information includes personnel ID and personnel skills; External environmental information includes: A text describing the external environment consisting of policy information, environmental information, and market information; policy information refers to the relevant regulations and requirements formulated by the government for engineering projects; environmental information includes the location of the project and surrounding infrastructure and weather information; market information refers to price fluctuation information in the engineering materials market.

3. The CPS-based full-cycle management method for engineering projects according to claim 1 is characterized in that: The method of obtaining the corresponding features of the overall information of the project and the historical data of the project through feature engineering is as follows: The overall information of the project includes the project description text, resource configuration description text, and external environment description text. The WordEmbedding algorithm is used as a feature engineering method to generate project features, resource configuration features, and external environment features. The engineering project historical data includes the engineering project historical data text, and the engineering project historical data features are generated by using the WordEmbedding algorithm as a feature engineering method.

4. The method for full-cycle management of engineering projects based on CPS according to claim 1 is characterized in that: The constructed No. 1 two-dimensional structure data includes: The No. 1 two-dimensional structure data includes a data matrix and a relationship matrix. A unit of the data matrix represents the overall information of an independent object of the project. The independent object includes the project, resource allocation, and external environment. A unit of the data matrix only contains the overall information of the independent object it represents. The element in the i-th row and j-th column of the relationship matrix represents the association between the i-th cell of the data matrix and the independent object represented by the j-th cell. If there is an association, the value of this element of the relationship matrix is ​​1, otherwise it is 0.

5. The CPS-based full-cycle management method for engineering projects according to claim 4 is characterized in that: The relationship between independent objects is expressed as follows: There is a relationship between engineering projects and resource allocation: engineering projects require resources to maintain and carry out engineering projects; there is a relationship between engineering projects and the external environment: the implementation of engineering projects is affected by the external environment; there is a relationship between resource allocation and the external environment: the cost of resource allocation is affected by the external environment.

6. The CPS-based full-cycle management method for engineering projects according to claim 1 is characterized in that: Project management strategies include: Classification of engineering project tasks, 0 represents critical tasks, 1 represents non-critical tasks; critical task clusters consisting of one critical task and multiple non-critical tasks; execution order of critical task clusters; execution time limit of critical task clusters; probability of potential risks occurring in critical task clusters, potential risks are represented as resource consumption risk, completion time risk, cost risk, quality risk, technical risk, and safety risk.

7. The CPS-based full-cycle management method for engineering projects according to claim 6 is characterized in that: The critical task cluster is represented by a critical task and its subordinate non-critical tasks. The critical task is represented by the task that cannot be delayed in the engineering project and directly affects the completion time of the project; the non-critical task is represented by the task that can be delayed to a certain extent without affecting the overall project.

8. The method for full-cycle management of engineering projects based on CPS according to claim 1 is characterized in that: The total number n of data items of the first one-dimensional structure data is the same as the total number s of data items of the second one-dimensional structure data.

9. The method for full-cycle management of engineering projects based on CPS according to claim 1 is characterized in that: The third intermediate layer is trained in conjunction with the second output layer, and the training project management model can accurately determine whether potential risks will occur during the execution of engineering project tasks, and what kind of potential risks will occur.

10. A CPS-based engineering project full-cycle management system, characterized in that: Includes the following modules: Data collection module, which is used to obtain overall information of the project and historical data of the project; A data encoding module is used to encode the overall information of the project into a one-dimensional structure data No. 1, wherein the one-dimensional structure data contains n data items, and one data item represents a one-dimensional structure data No. 1 constructed by the overall information of the project at a moment, wherein the one-dimensional data No. 1 contains a data matrix and a relationship matrix; and encode the historical data of the project into a one-dimensional structure data No. 2, wherein the one-dimensional structure data No. 2 contains s data items, and one data item represents the historical data of the project at a moment; A data processing module, which is used to input the No. 1 one-dimensional structure data and the No. 1 two-dimensional structure data into the project management model and output the project management strategy; The engineering project execution module executes various tasks in the engineering project according to the project management strategy.

Images