Information system project collaborative management platform based on cloud computing

Abstract

The invention discloses an information system project collaborative management platform based on cloud computing, which comprises a hybrid cloud architecture, the hybrid cloud architecture is composed of a public cloud and a private cloud, the public cloud is used for providing elastic computing resources in a project peak period, and the private cloud is used for storing enterprise sensitive data. The intelligent level of project management can be effectively improved, the competitiveness of enterprises in information system project construction is enhanced, project risks are reduced, and the problems that in the prior art, project management mainly depends on manual data collection, arrangement and analysis, so that the working efficiency is low, and the project management efficiency is low are solved. Meanwhile, a project manager is difficult to comprehensively master the dynamic condition of the project in time; and valuable information can be conveniently mined from mass data to predict the potential risk of the project and explore the optimal practice, so that the decision is more scientific and prospective, the use requirements of enterprises are greatly met, and the method is suitable for popularization and application.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud computing, and in particular to an information system project collaborative management platform based on cloud computing. Background Art

[0002] In today's digital age, the scale and complexity of enterprise information system projects continue to rise, involving collaborative work among multiple departments and professionals.

[0003] However, traditional project management methods rely on manual data collection, organization, and analysis, which presents numerous drawbacks. For one thing, this leads to inefficient data collection. Data from different departments is often stored in separate locations, making integration difficult. Manual data entry is prone to errors and lacks timeliness, making it impossible to meet the real-time data requirements required for rapid project progress. For example, it's difficult to effectively aggregate technical progress recorded by the R&D department, test results from the testing department, and cost data from the finance department, making it difficult for project managers to fully grasp project dynamics in a timely manner.

[0004] On the other hand, traditional analytical methods are simple and can only perform basic statistical calculations. It is difficult to extract valuable information from massive amounts of data to predict potential project risks and explore best practices. As a result, decisions are mostly dependent on managers' personal experience and lack scientificity and foresight. In the face of emergencies, this decision-making method may cause project delays or even failures, causing huge losses to the company.

[0005] Therefore, an efficient and intelligent information system project collaborative management solution is urgently needed. To this end, the present invention proposes an information system project collaborative management platform based on cloud computing. Summary of the Invention

[0006] Based on the technical problems existing in the background technology, the present invention proposes an information system project collaborative management platform based on cloud computing.

[0007] The present invention proposes a cloud computing-based information system project collaborative management platform, comprising a hybrid cloud architecture consisting of a public cloud and a private cloud. The public cloud is used to provide elastic computing resources during project peak periods, and the private cloud is used to store sensitive enterprise data. Microservice architecture: The microservice architecture splits the platform functions into multiple independent microservice modules, and each microservice module interacts and collaborates through a lightweight API.

[0008] As a further preferred embodiment of the present invention, the microservice module includes an intelligent data acquisition component, which is equipped with a variety of adapter interfaces for automatically identifying and connecting to various information systems such as ERP, CRM, OA, etc. within the enterprise, collecting project-related data in real time, and using data cleaning algorithms to remove noise data and duplicate data.

[0009] As a further preference of the present invention, the microservice module also includes a component for storing and managing data in a cloud computing environment based on distributed storage technology, adopts a data sharding strategy to store massive project data in multiple storage nodes, and combines a redundant backup mechanism to improve the reliability of data storage.

[0010] As a further preferred embodiment of the present invention, the microservice module also includes a big data analysis platform. The big data analysis platform introduces AI analysis learning and deep learning algorithms to conduct in-depth mining of the collected project historical data and build a project risk prediction model. It can accurately identify potential project risks such as cost overruns, schedule delays, and quality risks, and issue early warnings.

[0011] As a further preferred embodiment of the present invention, the microservice module also includes an intelligent decision-making support system. The intelligent decision-making support system provides project managers with multiple decision-making plans, including resource allocation suggestions, risk response strategies, etc., based on multiple factors such as the real-time status of the project, risk prediction, and corporate strategic goals. It also displays the pros and cons analysis of each plan through a visual interface to assist managers in making scientific decisions.

[0012] As a further preferred embodiment of the present invention, the microservice module includes a real-time collaboration module, which integrates functions such as instant messaging, video conferencing, and shared document editing, allowing project team members to access the platform through various terminal devices anytime and anywhere to communicate in real time and jointly edit project documents.

[0013] As a further preference of the present invention, the microservice module includes a task collaborative scheduling system, which automatically assigns tasks based on project task priorities, dependencies, team members' skills, workload and other factors, and tracks task execution progress in real time. When a task is at risk of delay, the system automatically issues an alert and recommends an adjustment strategy.

[0014] As a further preference of the present invention, the microservice module includes a multi-level encryption technology component, which applies the SSL / TLS encryption protocol to the data in transmission and adopts a combination of symmetric encryption and asymmetric encryption for the data stored in the cloud to ensure the confidentiality of the data and prevent it from being illegally stolen and tampered with.

[0015] As a further preference of the present invention, it also includes a management end and a member end for identity authentication and authority management mechanism. Users logging into the platform need to undergo multi-factor authentication such as password, SMS verification code, fingerprint recognition, etc. At the same time, permissions are finely divided according to the user's role and responsibilities in the project to ensure that each user can only access and operate data and tasks within the scope of their authority.

[0016] The beneficial effects of the present invention are: 1. In the present invention, project data from various information systems are collected at a preset frequency through a data acquisition component and stored in a distributed storage system after cleaning; team members communicate and collaborate through a real-time collaboration module, and a task coordination and scheduling system automatically assigns tasks and monitors their execution; at the same time, a big data analysis platform regularly runs a risk prediction model to analyze project data, and sends early warning information to project managers in a timely manner once signs of risk are discovered.

[0017] 2. In this invention, managers can also use the intelligent decision-making support system, combined with their own experience, to select appropriate strategies from recommended solutions and provide feedback to the platform for implementation and adjustment. The system then automatically summarizes data from the entire project process and generates a detailed project report covering project achievements, cost accounting, risk management, and other content for enterprise management to review and analyze. At the same time, it cleans up and reclaims cloud computing resources occupied by the project to prepare for the next project.

[0018] Ultimately, this cloud computing-based information system project collaborative management platform can effectively improve the intelligence level of project management, which is conducive to enhancing the competitiveness of enterprises in information system project construction, reducing project risks, and avoiding the previous reliance on manual collection, organization and analysis of data in project management, which easily leads to low work efficiency and makes it difficult for project managers to fully grasp the dynamics of the project in a timely manner. Moreover, through the cloud computing platform, it is also convenient to mine valuable information from massive data to predict potential project risks and explore best practices, making decisions more scientific and forward-looking, greatly meeting the use needs of enterprises and suitable for promotion and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a block diagram of an information system project collaborative management platform based on cloud computing proposed by the present invention. DETAILED DESCRIPTION

[0020] The present invention will be further explained below with reference to specific embodiments.

[0021] Example refer to Figure 1 In this embodiment, a cloud computing-based information system project collaborative management platform is proposed, including: Hybrid cloud architecture, which consists of a public cloud and a private cloud. The public cloud is used to provide elastic computing resources during project peaks, and the private cloud is used to store sensitive enterprise data. Microservice architecture: The microservice architecture splits the platform functions into multiple independent microservice modules, and each microservice module interacts and collaborates through a lightweight API.

[0022] Among them, the microservice module includes an intelligent data collection component, which is equipped with a variety of adapter interfaces for automatically identifying and connecting to various information systems such as ERP, CRM, OA, etc. within the enterprise, collecting project-related data in real time, and using data cleaning algorithms to remove noise data and duplicate data.

[0023] In this embodiment, the microservice module also includes a component for storing and managing data in a cloud computing environment based on distributed storage technology, adopts a data sharding strategy to store massive project data in multiple storage nodes, and combines a redundant backup mechanism to improve the reliability of data storage.

[0024] In this embodiment, the microservice module also includes a big data analysis platform. The big data analysis platform introduces AI analysis learning and deep learning algorithms to conduct in-depth mining of the collected project historical data and build a project risk prediction model. It can accurately identify potential project risks such as cost overruns, schedule delays, and quality risks, and issue early warnings.

[0025] In this embodiment, the microservice module also includes an intelligent decision-making assistance system. The intelligent decision-making assistance system provides project managers with multiple decision-making plans based on multiple factors such as the real-time status of the project, risk prediction, and corporate strategic goals, including resource allocation suggestions, risk response strategies, etc., and displays the pros and cons analysis of each plan through a visual interface to assist managers in making scientific decisions.

[0026] In this embodiment, the microservice module includes a real-time collaboration module, which integrates functions such as instant messaging, video conferencing, and shared document editing, allowing project team members to access the platform through various terminal devices anytime and anywhere to communicate in real time and jointly edit project documents.

[0027] In this embodiment, the microservice module includes a task collaborative scheduling system, which automatically assigns tasks based on project task priorities, dependencies, team members' skills, workload and other factors, and tracks task execution progress in real time. When a task is at risk of delay, the system automatically issues an early warning and recommends adjustment strategies.

[0028] In this embodiment, the microservice module includes a multi-level encryption technology component, which applies the SSL / TLS encryption protocol to data in transmission and uses a combination of symmetric encryption and asymmetric encryption for data stored in the cloud to ensure the confidentiality of the data and prevent it from being illegally stolen and tampered with.

[0029] In this embodiment, it also includes an administrator end and a member end for identity authentication and authority management mechanisms. Users logging into the platform must undergo multi-factor authentication such as passwords, SMS verification codes, and fingerprint recognition. At the same time, permissions are finely divided according to the user's role and responsibilities in the project to ensure that each user can only access and operate data and tasks within the scope of their authority.

[0030] As a further implementation: In the early stage of use, the enterprise first selects the configuration ratio of public cloud and private cloud according to its own needs, and builds a hybrid cloud basic environment; deploys the microservice architecture, registers each microservice module and its API endpoint, and configures the parameters of the intelligent data collection component to connect to the enterprise's internal system; at the same time, sets up a user role and permission system, and assigns initial login accounts and corresponding permissions to different user groups such as project managers and team members to ensure that the platform starts safely and orderly.

[0031] During use, the data collection component collects project data from various information systems at a preset frequency, cleans it, and stores it in a distributed storage system. Team members communicate and collaborate through a real-time collaboration module, and the task coordination and scheduling system automatically assigns tasks and monitors their execution. Meanwhile, the big data analysis platform regularly runs risk prediction models to analyze project data and, if any signs of risk are detected, promptly sends early warning information to project managers. Managers can also use the intelligent decision-making support system, combined with their own experience, to select appropriate strategies from recommended solutions and provide feedback to the platform for implementation and adjustment. Finally, the system automatically summarizes data from the entire project process and generates a detailed project report covering project achievements, cost accounting, risk response, and other content for enterprise management to review and analyze. At the same time, it cleans up and reclaims cloud computing resources occupied by the project to prepare for the next project.

[0032] Finally, through the above invention, the information system project collaborative management platform based on cloud computing can effectively improve the intelligence level of project management, which is conducive to enhancing the competitiveness of enterprises in information system project construction, reducing project risks, and avoiding the previous reliance on manual collection, organization and analysis of data in project management, which easily leads to low work efficiency and makes it difficult for project managers to fully grasp the dynamics of the project in a timely manner; and through the cloud computing platform, it is also convenient to mine valuable information from massive data to predict potential risks of projects and explore best practices, making decisions more scientific and forward-looking, greatly meeting the use needs of enterprises, and suitable for promotion and application.

[0033] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A cloud computing-based information system project collaborative management platform, characterized by: A hybrid cloud architecture consisting of a public cloud and a private cloud. The public cloud is used to provide elastic computing resources during project peaks, and the private cloud is used to store sensitive enterprise data. Microservice architecture: The microservice architecture splits the platform functions into multiple independent microservice modules, and each microservice module interacts and collaborates through a lightweight API.

2. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module includes an intelligent data acquisition component, which is equipped with multiple adapter interfaces for automatically identifying and connecting to the enterprise's internal ERP, CRM, and OA information systems, collecting project-related data in real time, and using data cleaning algorithms to remove noise data and duplicate data.

3. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module also includes a component for storing and managing data in a cloud computing environment based on distributed storage technology, adopts a data sharding strategy to store massive project data in multiple storage nodes, and combines it with a redundant backup mechanism to improve the reliability of data storage.

4. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module also includes a big data analysis platform. The big data analysis platform introduces AI analysis learning and deep learning algorithms to conduct in-depth mining of collected project historical data and build a project risk prediction model. It can accurately identify potential risks of cost overruns, schedule delays, and quality risks of projects, and issue early warnings.

5. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module also includes an intelligent decision-making support system, which provides project managers with multiple decision-making solutions based on multiple factors such as real-time project status, risk prediction, and corporate strategic goals; The decision-making plan includes resource allocation suggestions and risk response strategies, and displays the pros and cons analysis of each plan through a visual interface to assist managers in making scientific decisions.

6. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module includes a real-time collaboration module, which integrates instant messaging, video conferencing, and shared document editing functions, allowing project team members to access the platform through various terminal devices anytime and anywhere to communicate in real time and jointly edit project documents.

7. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module includes a task collaborative scheduling system, which automatically assigns tasks based on the priority and dependencies of project tasks, as well as the skills and workload of team members, and tracks the progress of task execution in real time. When there is a risk of delay in a task, the system automatically issues an early warning and recommends an adjustment strategy.

8. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: The microservice module includes a multi-level encryption technology component, which uses the SSL / TLS encryption protocol for data in transmission and a combination of symmetric encryption and asymmetric encryption for data stored in the cloud to ensure the confidentiality of the data and prevent it from being illegally stolen and tampered with.

9. The information system project collaborative management platform based on cloud computing according to claim 1, characterized in that: It also includes the management and member ends for identity authentication and permission management mechanisms. Users logging into the platform must be authenticated by password, SMS verification code, and fingerprint recognition. At the same time, permissions are finely divided according to the user's role and responsibilities in the project to ensure that each user can only access and operate data and tasks within the scope of their authority.

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