CN112801545A - Project management system based on brain graph - Google Patents
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Abstract
The invention discloses a project management system based on brain images, which displays graphics conforming to standard vector formats such as SVG (scalable vector graphics) and DXF (drawing exchange format) on a large screen for commanding and scheduling. The system has a universal real-time data interface, and can also read real-time data from the original SCADA system and reflect the data to a graph. The system is designed for a large-screen system, so that the response speed of display and special operation habits on a large screen are fully considered, and data can be traced due to the fact that the system records data at regular time. The large screen commanding and dispatching system can receive real-time data from the SCADA system, regularly store the data, decode the SVG image and display the image on a large screen. By using the large-screen commanding and dispatching system, the SVG image can be rapidly displayed, the common operations such as manual listing, switch opening and closing and the like can be performed, and historical data can be stored.
Description
Technical Field
The invention belongs to the field of project management systems, and particularly relates to a project management system based on a brain graph.
Background
With the advancement of science and technology and the development of society, project management is developing towards effectiveness, and the existing traditional project management software, such as jiara, teambion and the like, takes a pending or work order as a basic composition unit, is scattered and broken, is difficult to provide an overall view angle of a project, and brings great inconvenience in the actual use process.
Disclosure of Invention
The invention aims to provide a project management system based on a brain graph.
The purpose of the invention can be realized by the following technical scheme:
a project management system based on brain diagrams comprises a manager client, a cloud management system and an executor client, wherein the manager client is in bidirectional connection with the cloud management system, the cloud management system is in bidirectional connection with the executor client, the cloud management system comprises a data input module, a data processing analysis module, a brain diagram creation module, a work order distribution module, a feedback module and a data recording module, the data input module is in unidirectional connection with the data processing analysis module, the data processing analysis module is in unidirectional connection with the brain diagram creation module, the brain diagram creation module is in unidirectional connection with the work order distribution module, the work order distribution module is in unidirectional connection with the feedback module, and the feedback module is in unidirectional connection with the data recording module;
the manager client is used for issuing by a product manager and a project manager, inputting project data to the system, and checking project completion degree and results;
the data input module is used for inputting project data and personnel data into the system;
the data processing and analyzing module is used for packaging and processing the input project data and the personnel information;
the brain graph creating module comprises brain graph preliminary creating and brain graph data supplementing, the brain graph preliminary creating is used for decomposing input project data, meanwhile, the decomposed project data and personnel data are integrated, a brain graph frame is created by utilizing the integrated data, and the brain graph data supplementing is used for setting attributes of nodes on the created brain graph frame and uploading accessories on the nodes;
the work order distribution module is used for generating a work order according to the brain graph node data and pushing the work order to related personnel;
the feedback module is used for feeding back the result to the brain picture after the relevant personnel finish the work;
the data recording module is used for recording data in the brain picture and generating a corresponding report;
the executor client is used for receiving project work data sent by the cloud management system, executing work related to the project work data, and sending project completion degree and processes to the cloud management system.
Further, the data processing and analyzing module specifically comprises the following working steps:
1) recording the acquired first item data as X1, and recording the acquired first person data as R1;
2) recording the acquired second item data as X2, and recording the acquired second person data as R2;
3) recording the obtained nth item data as Xn, recording the obtained yth personal data as Ry, wherein n and y are both any integer;
4) and transmitting the data Xn and the data Ry to the brain graph creating module.
Further, the brain graph creating module specifically comprises the following working steps:
1) preliminary creation of brain map:
(1) selecting a plurality of related Xn data from the plurality of Xn data, integrating the plurality of related Xn data to form a project group, and marking as XMf, wherein f is any integer:
I) marking the first formed project group as XM 1;
II) the second formed set of items is denoted as XM 2;
III) recording the item group formed by the f as XMf, wherein f is an arbitrary integer;
(2) selecting a plurality of Ry data related to the same Xn data from a plurality of Ry data, integrating the Ry data to form a work item group, and marking as XnR, wherein Xn is a data label:
I) recording a work item group integrated by Ry data related to the same X1 data as X1R;
II) recording a work item group integrated by Ry data related to the same X2 data as X2R;
III) recording a work item group integrated by Ry data related to the same Xn data as XnR;
(3) XnR is brought into XMf data corresponding to Xn;
(4) creating a brain map framework based on the data XM1, XM2 and XMf;
(5) XnR is integrated into the brain map framework created based on the data XM1, XM2 and XMf;
2) brain image data supplementation:
and importing data such as design drawings, project states and project responsible persons related to the current project in each project group in the brain graph framework, and supplementing the data into the corresponding project group in the brain graph framework to enable the brain graph framework to form a complete management brain graph.
Further, the work order distribution module specifically comprises the following working steps;
(1) generating a total work order corresponding to XnR, which is recorded as XnRD, according to the data XnR;
(2) generating an open work order, a test work order and a bug work order corresponding to the XnRD from the XnRD;
(3) storing the open work order, the test work order and the bug work order into XnRD;
(4) integrating the XnRD corresponding to all XnR data in XMf into a whole, marking as XMfD, and correspondingly storing the XMfD and XMf;
(5) and respectively pushing the work order information on the XnRD to corresponding personnel databases according to the corresponding personnel information on XnR.
Further, the feedback module specifically comprises the following working steps:
the method comprises the following steps: the personnel obtain the work order distributed by the work order distribution module;
step two: working according to the type of the work order;
step three: and the personnel feeds back the work order completion condition to the complete management brain graph in real time.
Further, the data recording module specifically comprises the following working steps:
1) recording data stored in the complete management brain picture;
2) automatically generating a corresponding report according to the data recorded in the complete management brain picture;
3) analyzing the project operation by combining the report with the intelligent cloud library;
4) and exporting the report and the analysis data.
Further, the work steps of the brain graph-based project management system are as follows:
1) the method comprises the following steps that a product manager creates a project plan by using a mind map at a manager client, and sends the created project plan to a project manager through a cloud management system;
2) the project manager distributes personnel according to the project plan by using the manager client, and sends the project plan and the corresponding personnel data to the cloud management system;
3) the data input module inputs project data and personnel data into the system, and the data processing and analyzing module is used for packaging and processing the input project data and personnel information;
4) the brain graph is initially created to decompose input project data, meanwhile, the decomposed project data and personnel data are integrated, a brain graph frame is created by utilizing the integrated data, and the brain graph data is supplemented to be used for setting attributes of nodes on the created brain graph frame and uploading accessories on the nodes;
5) the work order distribution module generates a work order according to the brain graph node data and pushes the work order to an executor client of related personnel;
6) the executor client receives the project work data sent by the cloud management system, executes the work related to the project work data, and sends the project completion degree and the process to the cloud management system;
7) the feedback module feeds back data transmitted by the executor client to the brain graph;
8) the data recording module is used for recording the data in the brain picture, generating a corresponding report and then sending the report to the administrator client.
The invention has the beneficial effects that: the system of the invention can display graphs conforming to standard vector formats such as SVG, DXF and the like on a large screen for commanding and scheduling. The system has a universal real-time data interface, and can also read real-time data from the original SCADA system and reflect the data to a graph. The system is designed for a large-screen system, so that the response speed of display and special operation habits on a large screen are fully considered, and data can be traced due to the fact that the system records data at regular time. The large screen commanding and dispatching system can receive real-time data from the SCADA system, regularly store the data, decode the SVG image and display the image on a large screen. By using the large-screen commanding and dispatching system, the SVG image can be rapidly displayed, the common operations such as manual listing, switch opening and closing and the like can be performed, and historical data can be stored.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of a brain-based project management system according to the present invention;
fig. 2 is a working diagram of a cloud management system in the brain-based project management system according to the present invention.
Detailed Description
Referring to fig. 1-2, a project management system based on a brain diagram comprises a manager client, a cloud management system and an executor client, wherein the manager client is connected with the cloud management system in a two-way mode, the cloud management system is connected with the executor client in a two-way mode, the cloud management system comprises a data input module, a data processing analysis module, a brain diagram creating module, a work order distribution module, a feedback module and a data recording module, the data input module is connected with the data processing analysis module in a one-way mode, the data processing analysis module is connected with the brain diagram creating module in a one-way mode, the brain diagram creating module is connected with the work order distribution module in a one-way mode, the work order distribution module is connected with the feedback module in a one-way mode, and the feedback module is.
The manager client is used for the product manager and the project manager to publish and input project data to the system and check the project completion degree and results.
The data input module is used for inputting project data and personnel data into the system.
And the data processing and analyzing module is used for packaging and processing the input project data and the personnel information.
The brain graph creating module comprises brain graph preliminary creating and brain graph data supplementing, the brain graph preliminary creating is used for decomposing input project data, meanwhile, the decomposed project data and personnel data are integrated, a brain graph framework is created by utilizing the integrated data, and the brain graph data supplementing is used for setting attributes of nodes on the created brain graph framework and uploading attachments on the nodes.
And the work order distribution module is used for generating a work order according to the brain graph node data and pushing the work order to related personnel.
And the feedback module is used for feeding back the result to the brain graph after the relevant personnel finish the work.
The data recording module is used for recording the data in the brain picture and generating a corresponding report.
The executor client is used for receiving the project work data sent by the cloud management system, executing work related to the project work data, and sending the project completion degree and the process to the cloud management system.
The working steps of the data processing and analyzing module are as follows:
1) recording the acquired first item data as X1, and recording the acquired first person data as R1;
2) recording the acquired second item data as X2, and recording the acquired second person data as R2;
3) recording the obtained nth item data as Xn, recording the obtained y-th personal personnel data as Ry, wherein n and y are all any integers;
4) and transmitting the data Xn and the data Ry to the brain graph creating module.
The brain graph creating module specifically comprises the following working steps:
1) preliminary creation of brain map:
(1) selecting a plurality of related Xn data from the plurality of Xn data, integrating the plurality of related Xn data to form a project group, and marking as XMf, wherein f is any integer:
I) marking the first formed project group as XM 1;
II) the second formed set of items is denoted as XM 2;
III) recording the item group formed by the f as XMf, wherein f is an arbitrary integer;
(2) selecting a plurality of Ry data related to the same Xn data from a plurality of Ry data, integrating the Ry data to form a work item group, and marking as XnR, wherein Xn is a data label:
I) recording a work item group integrated by Ry data related to the same X1 data as X1R;
II) recording a work item group integrated by Ry data related to the same X2 data as X2R;
III) recording a work item group integrated by Ry data related to the same Xn data as XnR;
(3) XnR is brought into XMf data corresponding to Xn;
(4) creating a brain map framework based on the data XM1, XM2 and XMf;
(5) XnR is integrated into the brain map framework created based on the data XM1, XM2 and XMf;
2) brain image data supplementation:
and importing data such as design drawings, project states and project responsible persons related to the current project in each project group in the brain graph framework, and supplementing the data into the corresponding project group in the brain graph framework to enable the brain graph framework to form a complete management brain graph.
The work order distribution module specifically comprises the following working steps;
(1) generating a total work order corresponding to XnR, which is recorded as XnRD, according to the data XnR;
(2) generating an open work order, a test work order and a bug work order corresponding to the XnRD from the XnRD;
(3) storing the open work order, the test work order and the bug work order into XnRD;
(4) integrating the XnRD corresponding to all XnR data in XMf into a whole, marking as XMfD, and correspondingly storing the XMfD and XMf;
(5) and respectively pushing the work order information on the XnRD to corresponding personnel databases according to the corresponding personnel information on XnR.
The feedback module specifically comprises the following working steps:
the method comprises the following steps: the personnel obtain the work order distributed by the work order distribution module;
step two: working according to the type of the work order;
step three: and the personnel feeds back the work order completion condition to the complete management brain graph in real time.
The data recording module specifically comprises the following working steps:
1) recording data stored in the complete management brain picture;
2) automatically generating a corresponding report according to the data recorded in the complete management brain picture;
3) analyzing the project operation by combining the report with the intelligent cloud library;
4) and exporting the report and the analysis data.
The work steps of the project management system based on the brain graph are as follows:
1) the method comprises the following steps that a product manager creates a project plan by using a mind map at a manager client, and sends the created project plan to a project manager through a cloud management system;
2) the project manager distributes personnel according to the project plan by using the manager client, and sends the project plan and the corresponding personnel data to the cloud management system;
3) the data input module inputs project data and personnel data into the system, and the data processing and analyzing module is used for packaging and processing the input project data and personnel information;
4) the brain graph is initially created to decompose input project data, meanwhile, the decomposed project data and personnel data are integrated, a brain graph frame is created by utilizing the integrated data, and the brain graph data is supplemented to be used for setting attributes of nodes on the created brain graph frame and uploading accessories on the nodes;
5) the work order distribution module generates a work order according to the brain graph node data and pushes the work order to an executor client of related personnel;
6) the executor client receives the project work data sent by the cloud management system, executes the work related to the project work data, and sends the project completion degree and the process to the cloud management system;
7) the feedback module feeds back data transmitted by the executor client to the brain graph;
8) the data recording module is used for recording the data in the brain picture, generating a corresponding report and then sending the report to the administrator client.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (7)
1. A project management system based on brain images is characterized by comprising a manager client, a cloud management system and an executor client, wherein the manager client is in bidirectional connection with the cloud management system, the cloud management system is in bidirectional connection with the executor client, the cloud management system comprises a data input module, a data processing analysis module, a brain image creation module, a work order distribution module, a feedback module and a data recording module, the data input module is in unidirectional connection with the data processing analysis module, the data processing analysis module is in unidirectional connection with the brain image creation module, the brain image creation module is in unidirectional connection with the work order distribution module, the work order distribution module is in unidirectional connection with the feedback module, and the feedback module is in unidirectional connection with the data recording module;
the manager client is used for issuing by a product manager and a project manager, inputting project data to the system, and checking project completion degree and results;
the data input module is used for inputting project data and personnel data into the system;
the data processing and analyzing module is used for packaging and processing the input project data and the personnel information;
the brain graph creating module comprises brain graph preliminary creating and brain graph data supplementing, the brain graph preliminary creating is used for decomposing input project data, meanwhile, the decomposed project data and personnel data are integrated, a brain graph frame is created by utilizing the integrated data, and the brain graph data supplementing is used for setting attributes of nodes on the created brain graph frame and uploading accessories on the nodes;
the work order distribution module is used for generating a work order according to the brain graph node data and pushing the work order to related personnel;
the feedback module is used for feeding back the result to the brain picture after the relevant personnel finish the work;
the data recording module is used for recording data in the brain picture and generating a corresponding report;
the executor client is used for receiving project work data sent by the cloud management system, executing work related to the project work data, and sending project completion degree and processes to the cloud management system.
2. The brain-graph-based project management system of claim 1, wherein the data processing and analyzing module specifically comprises the following steps:
1) recording the acquired first item data as X1, and recording the acquired first person data as R1;
2) recording the acquired second item data as X2, and recording the acquired second person data as R2;
3) recording the obtained nth item data as Xn, recording the obtained yth personal data as Ry, wherein n and y are both any integer;
4) and transmitting the data Xn and the data Ry to the brain graph creating module.
3. The brain-graph-based project management system of claim 2, wherein the brain-graph creation module specifically comprises the following working steps:
1) preliminary creation of brain map:
(1) selecting a plurality of related Xn data from the plurality of Xn data, integrating the plurality of related Xn data to form a project group, and marking as XMf, wherein f is any integer:
I) marking the first formed project group as XM 1;
II) the second formed set of items is denoted as XM 2;
III) recording the item group formed by the f as XMf, wherein f is an arbitrary integer;
(2) selecting a plurality of Ry data related to the same Xn data from a plurality of Ry data, integrating the Ry data to form a work item group, and marking as XnR, wherein Xn is a data label:
I) recording a work item group integrated by Ry data related to the same X1 data as X1R;
II) recording a work item group integrated by Ry data related to the same X2 data as X2R;
III) recording a work item group integrated by Ry data related to the same Xn data as XnR;
(3) XnR is brought into XMf data corresponding to Xn;
(4) creating a brain map framework based on the data XM1, XM2 and XMf;
(5) XnR is integrated into the brain map framework created based on the data XM1, XM2 and XMf;
2) brain image data supplementation:
and importing data such as design drawings, project states and project responsible persons related to the current project in each project group in the brain graph framework, and supplementing the data into the corresponding project group in the brain graph framework to enable the brain graph framework to form a complete management brain graph.
4. The brain-based project management system of claim 3, wherein the work order assignment module specifically comprises the following steps;
(1) generating a total work order corresponding to XnR, which is recorded as XnRD, according to the data XnR;
(2) generating an open work order, a test work order and a bug work order corresponding to the XnRD from the XnRD;
(3) storing the open work order, the test work order and the bug work order into XnRD;
(4) integrating the XnRD corresponding to all XnR data in XMf into a whole, marking as XMfD, and correspondingly storing the XMfD and XMf;
(5) and respectively pushing the work order information on the XnRD to corresponding personnel databases according to the corresponding personnel information on XnR.
5. The brain-graph-based project management system of claim 1, wherein the feedback module specifically comprises the following steps:
the method comprises the following steps: the personnel obtain the work order distributed by the work order distribution module;
step two: working according to the type of the work order;
step three: and the personnel feeds back the work order completion condition to the complete management brain graph in real time.
6. The brain-graph-based project management system of claim 1, wherein the data recording module specifically comprises the following working steps:
1) recording data stored in the complete management brain picture;
2) automatically generating a corresponding report according to the data recorded in the complete management brain picture;
3) analyzing the project operation by combining the report with the intelligent cloud library;
4) and exporting the report and the analysis data.
7. The brain-graph-based project management system according to claim 1, wherein the working steps of the brain-graph-based project management system are as follows:
1) the method comprises the following steps that a product manager creates a project plan by using a mind map at a manager client, and sends the created project plan to a project manager through a cloud management system;
2) the project manager distributes personnel according to the project plan by using the manager client, and sends the project plan and the corresponding personnel data to the cloud management system;
3) the data input module inputs project data and personnel data into the system, and the data processing and analyzing module is used for packaging and processing the input project data and personnel information;
4) the brain graph is initially created to decompose input project data, meanwhile, the decomposed project data and personnel data are integrated, a brain graph frame is created by utilizing the integrated data, and the brain graph data is supplemented to be used for setting attributes of nodes on the created brain graph frame and uploading accessories on the nodes;
5) the work order distribution module generates a work order according to the brain graph node data and pushes the work order to an executor client of related personnel;
6) the executor client receives the project work data sent by the cloud management system, executes the work related to the project work data, and sends the project completion degree and the process to the cloud management system;
7) the feedback module feeds back data transmitted by the executor client to the brain graph;
8) the data recording module is used for recording the data in the brain picture, generating a corresponding report and then sending the report to the administrator client.
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| CN114936069B (en) * | 2022-05-30 | 2024-03-22 | 易协云(杭州)科技有限公司 | Method and system for carrying out project display by utilizing brain map |
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