Standardized cooperation system and method based on project full life cycle

Abstract

The invention discloses a standardized collaboration system and method based on a project full life cycle, and relates to the technical field of project management. Text data of a real-time work order is acquired by using a text recognition technology; extracting historical projects from the project management platform to form a historical project set; extracting and marking project feature data of each historical project; calculating an association degree value between the project feature data of the historical project in the project feature set and the feature data of the first project; analyzing an association relationship between the historical item and the first item; constructing a project implementation fitting model according to the text data of the historical work order; and according to the project implementation fitting model, analyzing a task implementation condition corresponding to a work order being implemented by the first project, extracting an abnormal work order to generate an abnormal work order list, and sending the abnormal work order list to an administrator. The accuracy of model fitting is improved, and the operation efficiency of the system is improved; automatic management of the full life cycle of the project is realized, and the engineering implementation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to a standardized collaborative system and method based on the entire life cycle of a project. Background Art

[0002] With the rapid development of our society and the continuous growth of the economy, people's living standards have changed significantly. Therefore, the demand for construction has also increased unprecedentedly. In order to better serve the needs of social development, it is necessary to create high-quality projects. Life cycle management is a new concept that has emerged in recent years. In the entire management process, effective technology and organizational measures should be used to complete the life cycle management, so as to achieve optimized management in a real sense and achieve the goal of maximizing benefits.

[0003] However, the existing project management requires project managers to conduct long-term research on the project and then generate specific management requirements and measures for the project. Based on the management concept of a single person, it is easy to have thinking loopholes, causing unnecessary losses. When there are multiple work orders being implemented simultaneously in a project, it is easy to be neglected, reducing the overall efficiency of project implementation.

[0004] Therefore, the present invention discloses a standardized collaborative system and method based on the entire life cycle of a project to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a standardized collaborative system and method based on the entire life cycle of a project to solve the problems raised in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solution: a standardized collaborative method based on the entire life cycle of a project, the method comprising the following steps:

[0007] S1: Use text recognition technology to obtain text data of real-time work orders; extract historical projects from the project management platform to form a historical project set; extract and mark the project feature data of each historical project to form a project feature set;

[0008] S2: extracting feature data of the first project, calculating the correlation degree between the project feature data of the historical project and the feature data of the first project in the project feature set; analyzing the correlation relationship between the historical project and the first project according to the correlation degree value, and forming a correlation project set;

[0009] S3: extract the text data of historical work orders of historical projects in the associated project set, and build a project implementation fitting model based on the text data of the historical work orders;

[0010] S4: Analyze the implementation status of tasks corresponding to the work orders being implemented in the first project according to the project implementation fitting model, calculate the abnormality level of the work orders, identify and mark abnormal work orders, extract abnormal work orders to generate an abnormal work order list, and send it to the administrator.

[0011] According to the above scheme, S1 includes the following contents:

[0012] S101: Using text recognition technology to obtain text data of a real-time work order, the text data includes the work order task name, the work order corresponding project name, the work order estimated resource consumption, the work order estimated engineering quantity and the work order estimated consumption time; searching for the project corresponding to the real-time work order in the project management platform, and recording the project corresponding to the real-time work order as the first project P 0 , extract the item type of the first item;

[0013] S102: extract historical projects of the same project type as the first project from the project management platform to form a historical project set; uniformly number the historical projects in the historical project set, and record the i-th historical project as P i ; Extract the project feature data corresponding to each historical project in the historical project set, and generate a project feature set, denoted as PC = {PC i |i∈[1,I]}; where PC i represents the i-th historical item P i A set of project characteristic data, I represents the total number of historical projects in the historical project set; the project characteristic data includes the total project duration, the total amount of resources and the total amount of engineering; the total amount of resources includes the total amount of expenses, the total amount of materials and the total amount of manpower.

[0014] Extracting historical projects of the same project type as the first project from the project management platform to form a historical project set; using the data of historical projects of the same type as the first project for subsequent analysis can more accurately analyze the subsequent implementation of the first project and improve the accuracy of the system;

[0015] According to the above scheme, S2 includes the following contents:

[0016] S201: Extract the feature data of the first item and record the feature data of the first item as PC 0 ; Calculate the feature data association degree value based on the feature data of the first project and the project feature data of the historical projects in the historical project set:

[0017] FDA(0→i)=α 1 ×(TT 0 -TT i )+α 2 ×(TR 0 -TR i)+α 3 ×(TQ 0 -TQ i );

[0018] Among them, FDA(0→i) represents the first item P 0 and History Project PC i The correlation degree value of the characteristic data between 1 , α 2 and α 3 TT represents the characteristic data correlation coefficient, which is a preset constant; 0 Indicates the first item P 0 Total project duration; TT i Indicates historical project PC i Total project duration of TR 0 Indicates the first item P 0 Total resources of TR i Indicates historical project PC i Total amount of resources; TQ 0 Indicates the first item P 0 Total engineering volume; TQ i Indicates historical project PC i The total amount of engineering; the characteristic data correlation degree value is negative, zero or positive;

[0019] S202: Setting a threshold value A of the feature data association degree value, A is greater than zero; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈[-A, A] between them indicates that the first item P 0 and History Project PC i There is an association relationship between them; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈(-∞,-A)∩(A,+∞) between them indicates that the first item P 0 and History Project PC i There is no association between them; extract all items related to the first item P 0 For historical items with associated relationships, a collection of associated items is generated.

[0020] Calculating the degree of association between the first project and the historical projects in the historical project set can more effectively narrow the selection range of historical projects, select historical projects similar to the first project for model construction, further improve the accuracy of model fitting, reduce the amount of calculation of the system, and improve the operation efficiency of the system;

[0021] According to the above scheme, S3 includes the following:

[0022] S301: extract all historical work orders of each historical project in the associated project set, arrange the historical work orders of the same historical project in the order of the start time of generation, extract the task implementation status of the historical work orders, and the task implementation status includes the change of the remaining amount of work order resources and the remaining amount of work order engineering with the remaining time of the work order; generate the task implementation status of the historical project according to the task implementation status of all historical work orders; and j The task implementation status is combined with the time variable, and the associated project implementation set is generated according to the order of the remaining time of the project; the associated project implementation set includes the associated project resource implementation set and the associated project engineering implementation set; the associated project resource implementation set is recorded as PS j ={(ST j , SR j )|j∈[1,J]}, where ST j SR for remaining resources of the project j The corresponding moment; J represents the total number of historical items in the associated item set, J<I;

[0023] Extract the task implementation status of historical work orders, convert the time nodes of the work orders into the task implementation status of historical projects, and convert the time span to provide data support for subsequent model fitting;

[0024] S302: Using the associated project resource implementation set, establish an associated project resource implementation fitting model: j 1 =B j 1 × j 1 +C j 1 ; Among them B j 1 and C j 1 represents the fitting coefficient, x j 1 The independent variable representing time, y j 1 The dependent variable represents the remaining resources of the associated project, and the B in the fitting model is implemented using the least squares method to fit the project resources. j 1 and C j 1 Perform calculation and solution; use the related project engineering implementation set in the same way to establish the related project engineering implementation fitting model;

[0025] S303: Construct a project resource implementation fitting model for the first project based on all associated project resource implementation fitting models: y=B×x+C; where B and C represent fitting coefficients, x represents the independent variable of time, and y represents the dependent variable of the remaining project resources of the first project; the fitting coefficient B is equal to the set {B 1 1 , B 2 1 , …, B J 1 The average value of the fitting coefficients in the set {C 1 1 , C 2 1 , …, C J 1}; Use the same method to establish the project engineering implementation fitting model for the first project.

[0026] Using multiple related projects to participate in the construction of the model can avoid the errors caused by simulating a single project and further improve the accuracy of model fitting;

[0027] According to the above scheme, S4 includes the following contents:

[0028] S401: extracting the work orders being implemented for the first project, obtaining the current task implementation status of the work orders being implemented, and obtaining the project resource remaining amount and the project engineering remaining amount according to the work order resource remaining amount and the work order engineering remaining amount;

[0029] S402: Substituting the current moment into the project resource implementation fitting model and the project engineering implementation fitting model of the first project, respectively obtaining the fitted project resource remaining amount and the fitted project engineering remaining amount of the first project;

[0030] S403: Calculate the abnormality degree value AD of the work order:

[0031] AD = (SR ÷ NSR) × (SG ÷ NSG);

[0032] Among them, SR represents the remaining amount of project resources, and NSR represents the remaining amount of fitting project resources; SG represents the remaining amount of project engineering, and NSG represents the remaining amount of fitting project engineering;

[0033] Set a threshold for the abnormality level of the work order, record the ongoing work orders whose abnormality level is greater than the threshold as abnormal work orders, mark and extract all abnormal work orders, and generate a list of abnormal work orders; calculate the proportion of abnormal work orders in the ongoing work orders, if the proportion is greater than the proportion threshold, mark the first item; if the proportion is not greater than the proportion threshold, do not process it; send the list of abnormal work orders to the administrator.

[0034] An abnormal work order list is generated for the work orders with abnormalities, and the abnormal work order list is sent to the administrator, realizing the automated management of the entire life cycle of the project; the abnormal list can be discovered as early as possible, reminding the administrator to make adjustments, and effectively ensuring the timeliness of the project.

[0035] Another aspect of the present application provides a standardized collaborative system based on the entire project life cycle, the system is applied to the implementation of the standardized collaborative method based on the entire project life cycle, the system includes a data identification and acquisition module, a feature analysis and association module, a model construction module and an abnormal analysis prompt module;

[0036] The data recognition and acquisition module is used to acquire text data of real-time work orders using text recognition technology; extract historical projects from the project management platform to form a historical project set; extract and mark project feature data of each historical project to form a project feature set;

[0037] The feature analysis and association module is used to extract feature data of the first project, calculate the correlation degree value between the project feature data of the historical project and the feature data of the first project in the project feature set; analyze the correlation relationship between the historical project and the first project according to the correlation degree value, and form a set of associated projects;

[0038] The model building module is used to extract text data of historical work orders of historical projects in the associated project set, and build a project implementation fitting model based on the text data of the historical work orders;

[0039] The abnormal analysis prompt module analyzes the task implementation status corresponding to the work order being implemented in the first project according to the project implementation fitting model, calculates the abnormality degree value of the work order, identifies and marks the abnormal work order, extracts the abnormal work order to generate an abnormal work order list, and sends it to the administrator.

[0040] According to the above scheme, the data identification and acquisition module includes a work order data identification unit and a feature extraction unit;

[0041] The work order data recognition unit uses text recognition technology to obtain text data of the real-time work order, wherein the text data includes the work order task name, the project name corresponding to the work order, the estimated resource consumption of the work order, the estimated engineering quantity of the work order, and the estimated duration of the work order; searches for the project corresponding to the real-time work order in the project management platform, records the project corresponding to the real-time work order as the first project, and extracts the project type of the first project;

[0042] The feature extraction unit extracts historical projects of the same project type as the first project from the project management platform to form a historical project set; uniformly number the historical projects in the historical project set, extract the project feature data corresponding to each historical project in the historical project set, and generate a project feature set, wherein the project feature data includes the total duration of the project, the total amount of resources and the total amount of engineering; the total amount of resources includes the total amount of expenses, the total amount of materials and the total amount of manpower.

[0043] According to the above solution, the feature analysis association module includes an association degree value calculation unit and an association relationship analysis unit;

[0044] The association degree value calculation unit is used to extract the feature data of the first project, and record the feature data of the first project as PC0; calculate the feature data association degree value according to the feature data of the first project and the project feature data of the historical project in the historical project set, and the feature data association degree value is negative, zero or positive;

[0045] The association relationship analysis unit is used to set a threshold value A of the feature data association degree value, A is greater than zero; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈[-A, A] between them indicates that the first item P 0 and History Project PC i There is an association relationship between them; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈(-∞,-A)∩(A,+∞) between them indicates that the first item P 0 and History Project PC i There is no association between them; extract all items related to the first item P 0 For historical items with associated relationships, a collection of associated items is generated.

[0046] According to the above scheme, the model building module includes a task implementation analysis unit and a model fitting unit;

[0047] The task implementation analysis unit is used to extract all historical work orders of each historical project in the associated project set, arrange the historical work orders of the same historical project in the order of the start generation time, extract the task implementation status of the historical work orders, and the task implementation status includes the change of the remaining amount of work order resources and the remaining amount of work order engineering with the remaining time of the work order; generate the task implementation status of the historical project according to the task implementation status of all historical work orders; and assign the jth historical project P in the associated project set to the task implementation status of the historical project; jThe task implementation status is combined with the time variable, and the associated project implementation set is generated according to the order of the remaining time of the project; the associated project implementation set includes the associated project resource implementation set and the associated project engineering implementation set;

[0048] The model fitting unit is used to use the associated project resource implementation set to establish an associated project resource implementation fitting model; use the associated project engineering implementation set to establish an associated project engineering implementation fitting model; construct a project resource implementation fitting model for the first project based on all associated project resource implementation fitting models; and construct a project engineering implementation fitting model for the first project based on all associated project engineering implementation fitting models.

[0049] According to the above scheme, the abnormal analysis prompt module includes an implementation work order analysis unit and an abnormal work order processing unit;

[0050] The implementation work order analysis unit is used to extract the work orders being implemented for the first project, obtain the current task implementation status of the work orders being implemented, and obtain the project resource remaining amount and the project engineering remaining amount according to the work order resource remaining amount and the work order engineering remaining amount; bring the current moment into the project resource implementation fitting model and the project engineering implementation fitting model of the first project, and obtain the fitted project resource remaining amount and the fitted project engineering remaining amount of the first project respectively;

[0051] The abnormal work order processing unit is used to calculate the abnormality degree value of the work order; set a threshold value for the abnormality degree value of the work order, record the ongoing work orders whose abnormality degree values ​​are greater than the threshold value as abnormal work orders, mark and extract all abnormal work orders, and generate an abnormal work order list; calculate the proportion of abnormal work orders in the ongoing work orders, if the proportion is greater than the proportion threshold, mark the first item; if the proportion is not greater than the proportion threshold, no processing is performed; and send the abnormal work order list to the administrator.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows: historical projects of the same project type as the first project are extracted from the project management platform to form a historical project set; subsequent analysis is performed using the data of historical projects of the same type as the first project, which can more accurately analyze the subsequent implementation of the first project and improve the accuracy of the system; the correlation degree is calculated for the first project and the historical projects in the historical project set, which can more effectively narrow the selection range of the historical projects, select historical projects similar to the first project for model construction, further improve the accuracy of model fitting, reduce the amount of calculation of the system, and improve the operation efficiency of the system; the task implementation status of the historical work order is extracted, and the task implementation status of the historical project is converted into the time span according to the time node of the work order, and the time span is converted to provide data support for subsequent model fitting; using multiple related projects to participate in the construction of the model can avoid the errors caused by the simulation of a single project and further improve the accuracy of the model fitting; an abnormal work order list is generated for the abnormal work order, and the abnormal work order list is sent to the administrator, realizing the automated management of the entire life cycle of the project; the abnormal list can be discovered as early as possible, and the administrator can be reminded to make adjustments, effectively ensuring the timeliness of the project and improving the efficiency of engineering implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0054] Figure 1 It is a flowchart of the standardized collaborative method based on the entire life cycle of the project of the present invention;

[0055] Figure 2 It is a structural diagram of the standardized collaborative system based on the entire life cycle of the project in the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1 The present invention provides a technical solution: a standardized collaborative method based on the entire life cycle of a project, the method comprising the following steps:

[0058] S1: Use text recognition technology to obtain text data of real-time work orders; extract historical projects from the project management platform to form a historical project set; extract and mark the project feature data of each historical project to form a project feature set;

[0059] In S1, the following are included:

[0060] S101: Using text recognition technology to obtain text data of a real-time work order, the text data includes the work order task name, the work order corresponding project name, the work order estimated resource consumption, the work order estimated engineering quantity and the work order estimated consumption time; searching for the project corresponding to the real-time work order in the project management platform, and recording the project corresponding to the real-time work order as the first project P 0 , extract the item type of the first item;

[0061] S102: extract historical projects of the same project type as the first project from the project management platform to form a historical project set; uniformly number the historical projects in the historical project set, and record the i-th historical project as P i ; Extract the project feature data corresponding to each historical project in the historical project set, and generate a project feature set, denoted as PC = {PC i |i∈[1,I]}; where PC i represents the i-th historical item P i The project characteristic data set is I, where I represents the total number of historical projects in the historical project set; the project characteristic data includes the total project duration, total resources and total engineering; the total resources include the total cost, total materials and total manpower.

[0062] Embodiment 1: In this embodiment, the calculation formula of the total amount of resources is as follows:

[0063] TR i =D 1 ×TC i +D 2 ×TAM i +D 3 ×TM i ;

[0064] Where D 1 , D 2 and D 3 Represents a resource coefficient, which is a preset constant; TC i Indicates the total amount of expenses; TAM i Indicates the total amount of materials; TM i Indicates the total amount of manpower;

[0065] S2: extracting feature data of the first project, calculating the correlation degree between the project feature data of the historical project and the feature data of the first project in the project feature set; analyzing the correlation relationship between the historical project and the first project according to the correlation degree value, and forming a correlation project set;

[0066] In S2, the following are included:

[0067] S201: Extract the feature data of the first item and record the feature data of the first item as PC 0 ; Calculate the feature data association degree value based on the feature data of the first project and the project feature data of the historical projects in the historical project set:

[0068] FDA(0→i)=α 1 ×(TT 0 -TT i )+α 2 ×(TR 0 -TR i )+α 3 ×(TQ 0 -TQ i );

[0069] Among them, FDA(0→i) represents the first item P 0 and History Project PC i The correlation degree value of the characteristic data between 1 , α 2 and α 3 Indicates the characteristic data correlation coefficient, which is a preset constant; TT 0 Indicates the first item P 0 Total project duration; TT i Indicates historical project PC i Total project duration of TR 0 Indicates the first item P 0 Total resources of TR i Indicates historical project PC i Total amount of resources; TQ 0 Indicates the first item P 0 Total engineering volume; TQ i Indicates historical project PC i The total amount of engineering; the characteristic data correlation degree value is negative, zero or positive;

[0070] S202: Setting a threshold value A of the feature data association degree value, A is greater than zero; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈[-A, A] between them indicates that the first item P 0 and History Project PCi There is an association relationship between them; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈(-∞,-A)∩(A,+∞) between them indicates that the first item P 0 and History Project PC i There is no association between them; extract all items related to the first item P 0 For historical items with associated relationships, a collection of associated items is generated.

[0071] S3: extract the text data of historical work orders of historical projects in the associated project set, and build a project implementation fitting model based on the text data of the historical work orders;

[0072] In S3, include the following:

[0073] S301: extract all historical work orders of each historical project in the associated project set, arrange the historical work orders of the same historical project in the order of the start time, extract the task implementation status of the historical work orders, and the task implementation status includes the change of the remaining amount of work order resources and the remaining amount of work order engineering with the remaining time of the work order; generate the task implementation status of the historical project according to the task implementation status of all historical work orders; and j The task implementation status is combined with the time variable, and the associated project implementation set is generated according to the order of the remaining time of the project; the associated project implementation set includes the associated project resource implementation set and the associated project engineering implementation set; the associated project resource implementation set is recorded as PS j ={(ST j , SR j )|j∈[1,J]}, where ST j SR for remaining resources of the project j The corresponding moment; J represents the total number of historical items in the associated item set, J<I;

[0074] S302: Using the associated project resource implementation set, establish an associated project resource implementation fitting model: j 1 =B j 1 × j 1 +C j 1 ; Among them B j 1 and C j 1 represents the fitting coefficient, x j 1 The independent variable representing time, y j 1The dependent variable represents the remaining resources of the associated project, and the B in the fitting model is implemented using the least squares method to fit the project resources. j 1 and C j 1 Perform calculation and solution; use the related project engineering implementation set in the same way to establish the related project engineering implementation fitting model;

[0075] S303: Construct a project resource implementation fitting model for the first project based on all associated project resource implementation fitting models: y=B×x+C; where B and C represent fitting coefficients, x represents the independent variable of time, and y represents the dependent variable of the remaining project resources of the first project; the fitting coefficient B is equal to the set {B 1 1 , B 2 1 , …, B J 1 The average value of the fitting coefficients in the set {C 1 1 , C 2 1 , …, C J 1}; Use the same method to establish the project engineering implementation fitting model for the first project.

[0076] S4: Analyze the implementation status of tasks corresponding to the work orders being implemented in the first project according to the project implementation fitting model, calculate the abnormality level of the work orders, identify and mark abnormal work orders, extract abnormal work orders to generate an abnormal work order list, and send it to the administrator.

[0077] In S4, the following are included:

[0078] S401: extracting the work orders being implemented for the first project, obtaining the current task implementation status of the work orders being implemented, and obtaining the project resource remaining amount and the project engineering remaining amount according to the work order resource remaining amount and the work order engineering remaining amount;

[0079] S402: Substituting the current moment into the project resource implementation fitting model and the project engineering implementation fitting model of the first project, respectively obtaining the fitted project resource remaining amount and the fitted project engineering remaining amount of the first project;

[0080] S403: Calculate the abnormality degree value AD of the work order:

[0081] AD = (SR ÷ NSR) × (SG ÷ NSG);

[0082] Among them, SR represents the remaining amount of project resources, and NSR represents the remaining amount of fitting project resources; SG represents the remaining amount of project engineering, and NSG represents the remaining amount of fitting project engineering;

[0083] Example 2: In this example, SR is 15, NSR is 10; SG is 12, NSG is 10;

[0084] Therefore AD = (SR ÷ NSR) × (SG ÷ NSG) = (15 ÷ 10) × (12 ÷ 10) = 1.8;

[0085] The threshold value of the abnormality degree of the work order is set to 1.5; therefore, in this embodiment, the work order being implemented is an abnormal work order.

[0086] Mark and extract all abnormal work orders, and generate a list of abnormal work orders; calculate the proportion of abnormal work orders in the work orders being implemented. If the proportion is greater than the proportion threshold, mark the first item; if the proportion is not greater than the proportion threshold, do not process it; send the list of abnormal work orders to the administrator.

[0087] See also Figure 2 , the present invention provides a technical solution: another aspect of the present application provides a standardized collaborative system based on the entire life cycle of a project, the system is applied to the implementation of the above-mentioned standardized collaborative method based on the entire life cycle of a project, the system includes a data identification and acquisition module, a feature analysis and association module, a model construction module and an abnormal analysis and prompt module;

[0088] The data recognition and acquisition module is used to obtain the text data of the real-time work order by using text recognition technology; extract historical projects from the project management platform to form a historical project set; extract and mark the project feature data of each historical project to form a project feature set;

[0089] The feature analysis and association module is used to extract feature data of the first project, calculate the correlation degree value between the project feature data of the historical project and the feature data of the first project in the project feature set; analyze the correlation relationship between the historical project and the first project according to the correlation degree value, and form a correlation project set;

[0090] The model building module is used to extract the text data of the historical work orders of the historical projects in the associated project set, and build a project implementation fitting model based on the text data of the historical work orders;

[0091] The abnormal analysis prompt module analyzes the task implementation status corresponding to the work order being implemented in the first project according to the project implementation fitting model, calculates the abnormal degree value of the work order, identifies and marks the abnormal work order, extracts the abnormal work order to generate an abnormal work order list, and sends it to the administrator.

[0092] The data identification and acquisition module includes a work order data identification unit and a feature extraction unit;

[0093] The work order data recognition unit uses text recognition technology to obtain text data of the real-time work order, the text data including the work order task name, the work order corresponding project name, the work order estimated resource consumption, the work order estimated engineering quantity and the work order estimated consumption time; find the project corresponding to the real-time work order in the project management platform, record the project corresponding to the real-time work order as the first project, and extract the project type of the first project;

[0094] The feature extraction unit extracts historical projects of the same project type as the first project from the project management platform to form a historical project set; the historical projects in the historical project set are uniformly numbered, the project feature data corresponding to each historical project in the historical project set is extracted, and a project feature set is generated, wherein the project feature data includes the total duration of the project, the total amount of resources and the total amount of engineering; the total amount of resources includes the total amount of expenses, the total amount of materials and the total amount of manpower.

[0095] The feature analysis association module includes an association degree value calculation unit and an association relationship analysis unit;

[0096] The association degree value calculation unit is used to extract the feature data of the first project, and record the feature data of the first project as PC0; calculate the feature data association degree value according to the feature data of the first project and the project feature data of the historical project in the historical project set, and the feature data association degree value is negative, zero or positive;

[0097] The association relationship analysis unit is used to set a threshold value A of the feature data association degree value, A is greater than zero; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈[-A, A] between them indicates that the first item P 0 and History Project PC i There is an association relationship between them; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈(-∞,-A)∩(A,+∞) between them indicates that the first item P 0 and History Project PC i There is no association between them; extract all items related to the first item P 0 For historical items with associated relationships, a collection of associated items is generated.

[0098] The model building module includes a task implementation analysis unit and a model fitting unit;

[0099] The task implementation analysis unit is used to extract all historical work orders of each historical project in the associated project set, arrange the historical work orders of the same historical project in the order of the start generation time, extract the task implementation status of the historical work orders, and the task implementation status includes the change of the remaining amount of work order resources and the remaining amount of work order engineering with the remaining time of the work order; generate the task implementation status of the historical project according to the task implementation status of all historical work orders; and list the jth historical project P in the associated project set. j The task implementation status is combined with the time variable, and the associated project implementation set is generated according to the order of the remaining time of the project; the associated project implementation set includes the associated project resource implementation set and the associated project engineering implementation set;

[0100] The model fitting unit is used to use the associated project resource implementation set to establish an associated project resource implementation fitting model; use the associated project engineering implementation set to establish an associated project engineering implementation fitting model; construct the project resource implementation fitting model of the first project based on all associated project resource implementation fitting models; and construct the project engineering implementation fitting model of the first project based on all associated project engineering implementation fitting models.

[0101] The abnormal analysis prompt module includes a work order analysis unit and an abnormal work order processing unit;

[0102] The work order analysis unit is used to extract the work orders being implemented for the first project, obtain the current task implementation status of the work orders being implemented, and obtain the project resource remaining amount and the project engineering remaining amount according to the work order resource remaining amount and the work order engineering remaining amount; bring the current moment into the project resource implementation fitting model and the project engineering implementation fitting model of the first project, and obtain the fitted project resource remaining amount and the fitted project engineering remaining amount of the first project respectively;

[0103] The abnormal work order processing unit is used to calculate the abnormal degree value of the work order; set a threshold for the abnormal degree value of the work order, record the ongoing work orders whose abnormal degree values ​​are greater than the threshold as abnormal work orders, mark and extract all abnormal work orders, and generate an abnormal work order list; calculate the proportion of abnormal work orders in the ongoing work orders, if the proportion is greater than the proportion threshold, mark the first item; if the proportion is not greater than the proportion threshold, no processing is performed; and send the abnormal work order list to the administrator.

[0104] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0105] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. Standardized collaborative approach based on the entire project life cycle, It is characterized in that The method comprises the following steps: S1: Use text recognition technology to obtain text data of real-time work orders; extract historical projects from the project management platform to form a historical project set; extract and mark the project feature data of each historical project to form a project feature set; S2: extracting feature data of the first project, calculating the correlation degree between the project feature data of the historical project and the feature data of the first project in the project feature set; analyzing the correlation relationship between the historical project and the first project according to the correlation degree value, and forming a correlation project set; S3: extract the text data of historical work orders of historical projects in the associated project set, and build a project implementation fitting model based on the text data of the historical work orders; S4: Analyze the implementation status of tasks corresponding to the work orders being implemented in the first project according to the project implementation fitting model, calculate the abnormality level of the work orders, identify and mark abnormal work orders, extract abnormal work orders to generate an abnormal work order list, and send it to the administrator.

2. According to the standardized collaborative method based on the entire project life cycle as described in claim 1, Features: In S1, the following are included: S101: Using text recognition technology to obtain text data of a real-time work order, the text data includes the work order task name, the work order corresponding project name, the work order estimated resource consumption, the work order estimated engineering quantity and the work order estimated consumption time; searching for the project corresponding to the real-time work order in the project management platform, and recording the project corresponding to the real-time work order as the first project P 0 , extract the item type of the first item; S102: extract historical projects of the same project type as the first project from the project management platform to form a historical project set; uniformly number the historical projects in the historical project set, and record the i-th historical project as P i ; Extract the project feature data corresponding to each historical project in the historical project set, and generate a project feature set, denoted as PC = {PC i |i∈[1,I]}; where PC i represents the i-th historical item P i A set of project characteristic data, I represents the total number of historical projects in the historical project set; the project characteristic data includes the total project duration, the total amount of resources and the total amount of engineering; the total amount of resources includes the total amount of expenses, the total amount of materials and the total amount of manpower.

3. According to the standardized collaborative method based on the entire project life cycle as described in claim 2, Features: In S2, the following are included: S201: Extract the feature data of the first item and record the feature data of the first item as PC 0 ; Calculate the feature data association degree value based on the feature data of the first project and the project feature data of the historical projects in the historical project set: <h2 style=";text-align:left;direction:ltr">FDA(0→i)=α<h2 style=";text-align:left;direction:ltr"> 1 <h2 style=";text-align:left;direction:ltr"> ×(TT<h2 style=";text-align:left;direction:ltr"> 0 <h2 style=";text-align:left;direction:ltr"> -TT<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> )+α<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> ×(TR<h2 style=";text-align:left;direction:ltr"> 0 <h2 style=";text-align:left;direction:ltr"> -TR<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> )+α<h2 style=";text-align:left;direction:ltr"> 3 <h2 style=";text-align:left;direction:ltr"> ×(TQ<h2 style=";text-align:left;direction:ltr"> 0 <h2 style=";text-align:left;direction:ltr"> -TQ<h2 style=";text-align:left;direction:ltr"> i <h2 style=";text-align:left;direction:ltr"> ); Among them, FDA(0→i) represents the first item P 0 and History Project PC i The correlation degree value of the characteristic data between 1 , α 2 and α 3 TT represents the characteristic data correlation coefficient, which is a preset constant; 0 Indicates the first item P 0 Total project duration; TT i Indicates historical project PC i Total project duration of TR 0 Indicates the first item P 0 Total resources of TR i Indicates historical project PC i Total amount of resources; TQ 0 Indicates the first item P 0 Total engineering volume; TQ i Indicates historical project PC i The total amount of engineering; the characteristic data correlation degree value is negative, zero or positive; S202: Setting a threshold value A of the feature data association degree value, A is greater than zero; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈[-A, A] between them indicates that the first item P 0 and History Project PC i There is an association relationship between them; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈(-∞,-A)∩(A,+∞) between them indicates that the first item P 0 and History Project PC i There is no association between them; extract all items related to the first item P 0 For historical items with associated relationships, a collection of associated items is generated.

4. According to the standardized collaborative method based on the entire project life cycle as described in claim 3, Features: In S3, include the following: S301: extract all historical work orders of each historical project in the associated project set, arrange the historical work orders of the same historical project in the order of the start time of generation, extract the task implementation status of the historical work orders, and the task implementation status includes the change of the remaining amount of work order resources and the remaining amount of work order engineering with the remaining time of the work order; generate the task implementation status of the historical project according to the task implementation status of all historical work orders; and j The task implementation status is combined with the time variable, and the associated project implementation set is generated according to the order of the remaining time of the project; the associated project implementation set includes the associated project resource implementation set and the associated project engineering implementation set; the associated project resource implementation set is recorded as PS j ={(ST j , SR j )|j∈[1,J]}, where ST j SR for remaining resources of the project j The corresponding moment; J represents the total number of historical items in the associated item set, J<I; S302: Using the associated project resource implementation set, establish an associated project resource implementation fitting model: y j 1 =B j 1 × j 1 +C j 1 ; Among them B j 1 and C j 1 represents the fitting coefficient, x j 1 The independent variable representing time, y j 1 The dependent variable represents the remaining resources of the associated project, and the B in the fitting model is implemented using the least squares method to fit the project resources. j 1 and C j 1 Perform calculation and solution; use the related project engineering implementation set in the same way to establish the related project engineering implementation fitting model; S303: Construct a project resource implementation fitting model for the first project based on all associated project resource implementation fitting models: y=B×x+C; where B and C represent fitting coefficients, x represents the independent variable of time, and y represents the dependent variable of the remaining project resources of the first project; the fitting coefficient B is equal to the set {B 1 1 , B 2 1 , …, B J 1 The average value of the fitting coefficients in the set {C 1 1 , C 2 1 , …, C J 1 }; Use the same method to establish the project engineering implementation fitting model for the first project.

5. According to the standardized collaborative method based on the entire project life cycle as described in claim 4, Features: In S4, the following are included: S401: extracting the work orders being implemented for the first project, obtaining the current task implementation status of the work orders being implemented, and obtaining the project resource remaining amount and the project engineering remaining amount according to the work order resource remaining amount and the work order engineering remaining amount; S402: Substituting the current moment into the project resource implementation fitting model and the project engineering implementation fitting model of the first project, respectively obtaining the fitted project resource remaining amount and the fitted project engineering remaining amount of the first project; S403: Calculate the abnormality degree value AD of the work order: AD = (SR ÷ NSR) × (SG ÷ NSG); Among them, SR represents the remaining amount of project resources, and NSR represents the remaining amount of fitting project resources; SG represents the remaining amount of project engineering, and NSG represents the remaining amount of fitting project engineering; Set a threshold for the abnormality level of the work order, record the ongoing work orders whose abnormality level is greater than the threshold as abnormal work orders, mark and extract all abnormal work orders, and generate an abnormal work order list; Calculate the proportion of abnormal work orders in the work orders being implemented. If the proportion is greater than the proportion threshold, mark the first item; if the proportion is not greater than the proportion threshold, do not process it; send the abnormal work order list to the administrator.

6. A standardized collaborative system based on the entire project life cycle, the system being applied to the implementation of the standardized collaborative method based on the entire project life cycle as described in any one of claims 1 to 5, It is characterized in that The system includes a data identification and acquisition module, a feature analysis and association module, a model building module and an abnormal analysis and prompting module; The data recognition and acquisition module is used to acquire text data of real-time work orders using text recognition technology; extract historical projects from the project management platform to form a historical project set; extract and mark project feature data of each historical project to form a project feature set; The feature analysis and association module is used to extract feature data of the first project, calculate the correlation degree value between the project feature data of the historical project and the feature data of the first project in the project feature set; analyze the correlation relationship between the historical project and the first project according to the correlation degree value, and form a set of associated projects; The model building module is used to extract text data of historical work orders of historical projects in the associated project set, and build a project implementation fitting model based on the text data of the historical work orders; The abnormal analysis prompt module analyzes the task implementation status corresponding to the work order being implemented in the first project according to the project implementation fitting model, calculates the abnormality degree value of the work order, identifies and marks the abnormal work order, extracts the abnormal work order to generate an abnormal work order list, and sends it to the administrator.

7. According to the standardized collaborative system based on the entire project life cycle according to claim 6, Features: The data identification and acquisition module includes a work order data identification unit and a feature extraction unit; The work order data recognition unit uses text recognition technology to obtain text data of the real-time work order, wherein the text data includes the work order task name, the project name corresponding to the work order, the estimated resource consumption of the work order, the estimated engineering quantity of the work order, and the estimated duration of the work order; searches for the project corresponding to the real-time work order in the project management platform, records the project corresponding to the real-time work order as the first project, and extracts the project type of the first project; The feature extraction unit extracts historical projects of the same project type as the first project from the project management platform to form a historical project set; uniformly number the historical projects in the historical project set, extract the project feature data corresponding to each historical project in the historical project set, and generate a project feature set, wherein the project feature data includes the total duration of the project, the total amount of resources and the total amount of engineering; the total amount of resources includes the total amount of expenses, the total amount of materials and the total amount of manpower.

8. According to the standardized collaborative system based on the entire project life cycle as described in claim 6, Features: The feature analysis association module includes an association degree value calculation unit and an association relationship analysis unit; The association degree value calculation unit is used to extract the feature data of the first project, and record the feature data of the first project as PC0; calculate the feature data association degree value according to the feature data of the first project and the project feature data of the historical project in the historical project set, and the feature data association degree value is negative, zero or positive; The association relationship analysis unit is used to set a threshold value A of the feature data association degree value, A is greater than zero; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈[-A, A] between them indicates that the first item P 0 and History Project PC i There is an association relationship between them; if the first item P 0 and History Project PC i The characteristic data association degree value FDA(0→i)∈(-∞,-A)∩(A,+∞) between them indicates that the first item P 0 and History Project PC i There is no association between them; extract all items related to the first item P 0 For historical items with associated relationships, a collection of associated items is generated.

9. According to the standardized collaborative system based on the entire project life cycle according to claim 6, Features: The model building module includes a task implementation analysis unit and a model fitting unit; The task implementation analysis unit is used to extract all historical work orders of each historical project in the associated project set, arrange the historical work orders of the same historical project in the order of the start generation time, extract the task implementation status of the historical work orders, and the task implementation status includes the change of the remaining amount of work order resources and the remaining amount of work order engineering with the remaining time of the work order; generate the task implementation status of the historical project according to the task implementation status of all historical work orders; and assign the jth historical project P in the associated project set to the task implementation status of the historical project; j The task implementation status is combined with the time variable, and the associated project implementation set is generated according to the order of the remaining time of the project; the associated project implementation set includes the associated project resource implementation set and the associated project engineering implementation set; The model fitting unit is used to use the associated project resource implementation set to establish an associated project resource implementation fitting model; use the associated project engineering implementation set to establish an associated project engineering implementation fitting model; construct a project resource implementation fitting model for the first project based on all associated project resource implementation fitting models; and construct a project engineering implementation fitting model for the first project based on all associated project engineering implementation fitting models.

10. According to the standardized collaborative system based on the entire project life cycle according to claim 6, Features: The abnormal analysis prompt module includes a work order analysis unit and an abnormal work order processing unit; The implementation work order analysis unit is used to extract the work orders being implemented for the first project, obtain the current task implementation status of the work orders being implemented, and obtain the project resource remaining amount and the project engineering remaining amount according to the work order resource remaining amount and the work order engineering remaining amount; bring the current moment into the project resource implementation fitting model and the project engineering implementation fitting model of the first project, and obtain the fitted project resource remaining amount and the fitted project engineering remaining amount of the first project respectively; The abnormal work order processing unit is used to calculate the abnormality degree value of the work order; Set a threshold for the abnormality level of the work order, record the ongoing work orders whose abnormality level is greater than the threshold as abnormal work orders, mark and extract all abnormal work orders, and generate an abnormal work order list; Calculate the proportion of abnormal work orders in the work orders being implemented. If the proportion is greater than the proportion threshold, mark the first item; if the proportion is not greater than the proportion threshold, do not process it; send the abnormal work order list to the administrator.

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