Multi-project engineering supervision collaborative management method and system based on cloud computing

Abstract

The invention is suitable for the technical field of multi-project management, and provides a multi-project engineering supervision collaborative management method and system based on cloud computing, and the system comprises a data collection and real-time monitoring module, a multi-project risk assessment module, a risk response and strategy generation module, and a risk visualization and decision support module. Through deep analysis of project characteristics and dependency relationships, a scientific basis can be provided for subsequent management decisions, and the uncertainty of decisions is reduced. And secondly, through systematic risk factor identification and evaluation, potential risk sources can be found in time, and the early warning capability of a project team is enhanced. In addition, due to the construction of the multi-project risk assessment model, the team can identify and cope with the cross risk more efficiently when facing a complex project environment. The method not only improves the controllability of the project, but also provides an effective tool for resource optimization and risk management in multi-project management, and finally promotes the successful implementation of the project and improves the overall efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of multi-project management, and in particular relates to a multi-project engineering supervision collaborative management method and system based on cloud computing. Background Art

[0002] As the scale and number of engineering projects increase, more and more companies are adopting multi-project management models in order to achieve greater efficiency and better results in a highly competitive market environment. Under the multi-project management model, companies can reasonably allocate limited resources (such as manpower, funds, equipment, etc.) among multiple projects to maximize resource utilization. This model can not only improve project execution efficiency, but also promote information sharing between different projects and enhance the team's collaboration capabilities, thereby achieving better project results.

[0003] As the scale and number of engineering projects increase, more and more companies are adopting a multi-project management model, which not only improves resource utilization but also promotes information sharing and collaborative work.

[0004] However, multi-project management brings more complex risk management challenges, especially the cross-risk impact between projects. Existing risk management tools and methods often focus on the risk assessment of a single project and lack a comprehensive perspective in a multi-project environment. These tools usually adopt an independent assessment approach and cannot effectively capture the interrelationships and dependencies between projects, resulting in the failure to timely identify and transfer the risks of a project to other related projects. For example, if a project is delayed in key resources, the team using traditional risk management tools may only focus on the impact of the project, but cannot timely assess the potential impact of this delay on other projects that rely on the resource. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-project engineering supervision collaborative management method based on cloud computing, aiming to solve the technical problems existing in the prior art identified in the background technology.

[0006] The present invention is implemented by a multi-project engineering supervision collaborative management method based on cloud computing, the method comprising:

[0007] Obtain all project information, including historical information data, monitor project progress, resource usage, and environmental conditions in real time, and establish a data collection mechanism to continuously update the information and status of project collection;

[0008] Based on historical data and project characteristics, consider the dependencies and interactions between projects, establish a multi-project risk assessment model, and identify potential cross-risks and influencing factors;

[0009] Generate and match corresponding emergency plans and risk mitigation strategies for the identified cross-risks;

[0010] Establish a risk assessment dashboard to record the risk status, cross-impact and potential risk events of each project, and evaluate the impact of different decisions on inter-project risks.

[0011] As a further solution of the present invention, the acquisition of all project information, including historical information data, real-time monitoring of project progress, resource usage, and environmental conditions, specifically includes:

[0012] Obtain and parse all project information and identify each project's characteristics;

[0013] Collect historical data related to the project, including past project progress, resource usage records, risk events and responses;

[0014] Develop a monitoring plan to collect progress indicators, resource usage, and environmental conditions for monitoring projects.

[0015] As a further solution of the present invention, the dependencies and interactions between projects are considered to establish a multi-project risk assessment model to identify potential cross-risks and influencing factors, specifically including:

[0016] Analyze the characteristics of each project, including size, complexity, technical requirements, and team structure, and determine the dependencies and interactions between project characteristics;

[0017] Analyze dependencies and interactions between projects, and determine the potential consequences of the strength of interactions and dependencies;

[0018] Conduct risk factor identification and identify potential factors that may cause risks, including internal and external factors;

[0019] Build a multi-project risk assessment model to integrate project characteristics, dependencies and risk factors, identify potential cross-risks, and assess the likelihood and scope of cross-risks;

[0020] Analyze the impact of identified risk factors on multiple projects and prioritize each risk factor.

[0021] As a further solution of the present invention, the step of identifying potential cross-risks is as follows:

[0022] R i =D i ×L i ;

[0023] Among them, R i For risk scoring, D i is the risk exposure level, Li The amount of resources required to mitigate the risk.

[0024] As a further solution of the present invention, the possibility and impact range of the cross-risk are evaluated, wherein the possibility is evaluated as follows:

[0025]

[0026] Among them, P(R i |E) is the risk R when the event occurs i The conditional probability, P(E|R i ) is the risk R i The probability that event E will occur if i ) is the risk R i The prior probability of , P(E) is the probability of event E.

[0027] As a further solution of the present invention, the possibility and impact range of the cross-risk are evaluated, wherein the impact range is evaluated as follows:

[0028] Get the project set P affected by the cross risk = {P1, P2, ..., P n}, then the cross-risk impact project set formula is:

[0029]

[0030] Among them, I C is the overall impact of risk C, is the impact intensity of risk C on project j, S j The importance of item j.

[0031] As a further solution of the present invention, the risk factors are prioritized as follows:

[0032]

[0033] U i The total impact score of risk factors, W k is the weight of the kth impact factor, I ik is the impact of risk factor i on the kth item.

[0034] As a further solution of the present invention, the risk assessment dashboard is established to record the risk status, cross-impact and potential risk events of each project, and to evaluate the impact of different decisions on inter-project risks, specifically including:

[0035] Recommend risk assessment dashboards based on indicators that reflect risk status and project health, showing the implementation risk status of each project;

[0036] Record the cross-risk impacts between projects and set risk thresholds. When risk indicators exceed the risk thresholds, alarms are triggered.

[0037] Simulate the impact of different emergency plans and risk mitigation strategies on inter-project risks, generate risk status changes under different scenarios, and evaluate the actual effect of the emergency plans and risk mitigation strategies on risk mitigation.

[0038] Another object of the present invention is to provide a multi-project engineering supervision collaborative management system based on cloud computing, the system comprising:

[0039] Data collection and real-time monitoring module, used to obtain all project information, including historical information data, real-time monitoring of project progress, resource usage, environmental conditions, and establish a data collection mechanism to continuously update the information and status of project collection;

[0040] Multi-project risk assessment module, which is used to establish a multi-project risk assessment model based on historical data and project characteristics, taking into account the dependencies and interactions between projects, and identifying potential cross-risks and influencing factors;

[0041] The risk response and strategy generation module is used to generate and match corresponding emergency plans and risk mitigation strategies for the identified cross-risks;

[0042] The risk visualization and decision support module is used to establish a risk assessment dashboard, record the risk status, cross-impact and potential risk events of each project, and evaluate the impact of different decisions on inter-project risks.

[0043] The beneficial effects of the present invention are:

[0044] This method comprehensively considers the dependencies and interactive impacts between projects, and the established multi-project risk assessment model effectively improves the comprehensiveness of risk identification, reduces information silos, and enhances the overall risk management level.

[0045] The solution can also generate and match corresponding emergency plans and risk mitigation strategies, improving the company's ability to respond to potential risks and ensuring that it can respond quickly and reduce losses when risk events occur. The established visual risk assessment dashboard makes the project's risk status, cross-impacts, and potential risk events more transparent, helping managers quickly identify and take measures. At the same time, the risk thresholds and alarm mechanisms set further enhance risk response capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flowchart of a multi-project engineering supervision collaborative management method based on cloud computing provided by an embodiment of the present invention;

[0047] Figure 2A flowchart of obtaining all project information and establishing a data collection mechanism to continuously update the information and status of project collection provided by an embodiment of the present invention;

[0048] Figure 3 A flowchart for considering dependencies and interactions between projects, establishing a multi-project risk assessment model, and identifying potential cross-risks and influencing factors provided by an embodiment of the present invention;

[0049] Figure 4 A flowchart for establishing a risk assessment dashboard and evaluating the impact of different decisions on inter-project risks provided by an embodiment of the present invention;

[0050] Figure 5 A structural block diagram of a multi-project engineering supervision collaborative management system based on cloud computing provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0052] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0053] Figure 1 A flowchart of a multi-project engineering supervision collaborative management method based on cloud computing provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the method includes:

[0054] S100, obtain all project information, including historical information data, monitor project progress, resource usage, and environmental conditions in real time, and establish a data collection mechanism to continuously update the information and status of project collection;

[0055] In this step, it is crucial to obtain and analyze all project information, including collecting basic information about each project, such as project name, person in charge, project cycle, budget and goals. At the same time, it is also key to identify the characteristics of each project, including technical requirements, required resource types, critical paths and milestones. With the support of cloud computing platforms, this information can be centrally stored to ensure that all relevant personnel can access it on demand and use this information for collaborative management.

[0056] In addition, collecting historical data related to the project is also an important part of this step. By aggregating historical data such as progress records and resource usage records of previous similar projects, the project team can explore risk events and countermeasures that occurred in past projects. This data analysis helps to identify potential rules and patterns, and use machine learning algorithms to model and analyze historical data to better predict and manage future risk signals and resource conflicts.

[0057] Developing a monitoring plan is an important step to ensure that the project remains transparent and controllable during execution. By setting detailed monitoring indicators, including progress indicators, resource usage, and environmental conditions, the project team can track the dynamic changes of the project in real time. Using sensors, IoT devices, and API interfaces, automated data collection mechanisms can ensure that project progress, resource usage, and environmental conditions are continuously updated. In this way, all stakeholders can obtain the latest project information in a timely manner, improving the overall efficiency and effectiveness of project management.

[0058] like Figure 2 As shown, the acquisition of all project information, including historical information data, real-time monitoring of project progress, resource usage, and environmental conditions, specifically includes:

[0059] S110, acquiring and parsing all project information, and identifying characteristics of each project;

[0060] S120, collect historical data related to the project, including past project progress, resource usage records, risk events and response measures;

[0061] S130, formulate a monitoring plan and collect progress indicators, resource usage and environmental conditions of the monitoring project.

[0062] S200, based on historical data and project characteristics, considers the dependencies and interactions between projects, establishes a multi-project risk assessment model, and identifies potential cross-risks and influencing factors;

[0063] In this step, the characteristics of each project are analyzed, including the size, complexity, technical requirements, and team structure of the project. Through this analysis, the dependencies and interactions between different projects can be identified, and the strength of these relationships and the potential consequences can be determined. This in-depth analysis provides a solid foundation for subsequent risk assessment.

[0064] On this basis, it is also particularly important to identify risk factors. This process aims to identify potential factors that may cause risks, including internal factors of the project (such as improper resource allocation, technical difficulties) and external factors (such as market changes, policy adjustments). Through systematic identification, it can be ensured that no risk factors that may affect the success of the project are missed.

[0065] Next, a multi-project risk assessment model needs to be built. This model will integrate project characteristics, dependencies, and risk factors to identify potential cross-risks. This model not only needs to assess the possibility of cross-risks, but also analyze their possible impact, which is of great significance to the decision-making of project managers. In addition, the impact of identified risk factors on multiple projects also needs to be analyzed. By prioritizing risk factors, project teams can allocate resources and formulate response strategies more effectively.

[0066] Through in-depth analysis of project characteristics and dependencies, it is possible to provide a scientific basis for subsequent management decisions and reduce the uncertainty of decision-making. Secondly, through systematic identification and evaluation of risk factors, potential risk sources can be discovered in a timely manner and the early warning ability of the project team can be enhanced. In addition, the construction of a multi-project risk assessment model enables the team to more efficiently identify and respond to cross-risks when faced with a complex project environment. This approach not only improves the controllability of the project, but also provides an effective tool for resource optimization and risk management in multi-project management, ultimately promoting the successful implementation of the project and improving overall efficiency.

[0067] like Figure 3 As shown, the dependencies and interactions between projects are considered, a multi-project risk assessment model is established, and potential cross-risks and influencing factors are identified, including:

[0068] S210, analyze the characteristics of each project, including scale, complexity, technical requirements and team structure, and determine the dependencies and interactions between project characteristics;

[0069] S220, analyze the dependencies and interactions between projects, and determine the potential consequences of the strength of interactions and dependencies;

[0070] S230, conduct risk factor identification, identify potential factors that cause risks, including internal and external factors;

[0071] S240, build a multi-project risk assessment model, integrate project characteristics, dependencies and risk factors, identify potential cross-risks, and assess the likelihood and impact of cross-risks;

[0072] S250, analyzing the impact of the identified risk factors on multiple projects and prioritizing each risk factor.

[0073] In this step, the step of identifying potential cross-risks is as follows:

[0074] R i =D i ×L i ;

[0075] Among them, R i For risk scoring, D i is the risk exposure level, L i The amount of resources required to mitigate the risk.

[0076] In this step, the possibility and impact of cross-risks are evaluated, where the possibility is evaluated as follows:

[0077]

[0078] Among them, P(R i |E) is the risk R when the event occurs i The conditional probability, P(E|R i ) is the risk R i The probability that event E will occur if i ) is the risk R i The prior probability of , P(E) is the probability of event E.

[0079] In this step, the possibility and impact scope of the cross-risk are evaluated, wherein the impact scope is evaluated as follows:

[0080] Get the project set P affected by the cross risk = {P1, P2, ..., P n}, then the cross-risk impact project set formula is:

[0081]

[0082] Among them, I C is the overall impact of risk C, is the impact intensity of risk C on project j, S j The importance of item j.

[0083] In this step, the risk factors are prioritized as follows:

[0084]

[0085] U i The total impact score of risk factors, W k is the weight of the kth impact factor, I ik is the impact of risk factor i on the kth item.

[0086] S300: Generate and match corresponding emergency plans and risk mitigation strategies for the identified cross-risks:

[0087] S400, establish a risk assessment dashboard to record the risk status, cross-impact and potential risk events of each project, and evaluate the impact of different decisions on inter-project risks.

[0088] In this step, the risk assessment dashboard will be designed, which will comprehensively evaluate the health status of the project based on multiple key indicators, such as project progress, resource utilization, budget execution, and environmental factors. The dashboard uses visualization tools such as charts and heat maps to present the risk status of each project in an intuitive way, making it easier for managers to quickly identify problems.

[0089] In addition, the cross-risk impacts between projects are recorded in real time to ensure that the team can understand the dependencies between projects and their potential impact on risks. At the same time, specific risk thresholds are set. When the monitored risk indicators exceed these thresholds, the system will automatically trigger an alarm so that the management team can take prompt action. For the identified cross-risks, the system will automatically generate corresponding emergency plans and risk mitigation strategies to ensure that risks are dealt with in an orderly manner when they occur.

[0090] Through modeling and simulation technology, the system can also simulate the impact of different emergency plans and risk mitigation strategies on inter-project risks, help the team evaluate the effectiveness of these strategies in actual situations, and based on the simulation results, evaluate the impact of emergency plans and risk mitigation strategies on actual risks, provide data support, and help managers make more informed decisions.

[0091] Through real-time data updates and alert mechanisms, managers can quickly identify and respond to potential risks, thereby significantly reducing the possibility of project loss of control. The dashboard's visual display makes complex risk information easy to understand, and managers can make more accurate decisions based on data rather than relying on empirical judgment. In addition, through shared risk assessment dashboards and automated information updates, collaboration between project teams is enhanced to ensure that all parties have a consistent understanding of project status. By simulating the effects of different strategies, project teams can optimize resource allocation before risks occur and improve the flexibility and efficiency of overall project management. At the same time, quantitative analysis and simulation enhance the team's understanding of the complexity of risk management and improve the ability to identify and respond to cross-risks, thereby increasing the probability of project success.

[0092] like Figure 4 As shown, the risk assessment dashboard is established to record the risk status, cross-impact and potential risk events of each project, and to evaluate the impact of different decisions on inter-project risks, including:

[0093] S410, based on indicators reflecting risk status and project health, recommends a risk assessment dashboard to display the implementation risk status of each project;

[0094] S420, record the cross-risk impact between projects and set the risk threshold. When the risk indicator exceeds the risk threshold, an alarm is triggered;

[0095] S430, simulate the impact of different emergency plans and risk mitigation strategies on inter-project risks, generate risk status changes under different scenarios, and evaluate the actual effect of the emergency plans and risk mitigation strategies on risk mitigation.

[0096] Figure 5 The structure diagram of the multi-project engineering supervision collaborative management system based on cloud computing provided by the embodiment of the present invention is as follows: Figure 5 As shown, the system comprises:

[0097] The data collection and real-time monitoring module 100 is used to obtain all project information, including historical information data, monitor the project progress, resource usage, and environmental conditions in real time, and establish a data collection mechanism to continuously update the information and status of the project collection;

[0098] The multi-project risk assessment module 200 is used to establish a multi-project risk assessment model based on historical data and project characteristics, taking into account dependencies and interactions between projects, and identifying potential cross-risks and influencing factors;

[0099] The risk response and strategy generation module 300 is used to generate and match corresponding emergency plans and risk mitigation strategies for the identified cross-risks;

[0100] The risk visualization and decision support module 400 is used to establish a risk assessment dashboard, record the risk status, cross-impact and potential risk events of each project, and evaluate the impact of different decisions on inter-project risks.

[0101] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0102] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0103] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0104] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0105] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-project engineering supervision collaborative management method based on cloud computing, characterized in that: The method comprises: Obtain all project information, including historical information data, monitor project progress, resource usage, and environmental conditions in real time, and establish a data collection mechanism to continuously update the information and status of project collection; Based on historical data and project characteristics, consider the dependencies and interactions between projects, establish a multi-project risk assessment model, and identify potential cross-risks and influencing factors; Generate and match corresponding emergency plans and risk mitigation strategies for the identified cross-risks; Establish a risk assessment dashboard to record the risk status, cross-impact and potential risk events of each project, and evaluate the impact of different decisions on inter-project risks.

2. The method according to claim 1, characterized in that The acquisition of all project information, including historical information data, real-time monitoring of project progress, resource usage, and environmental conditions, specifically includes: Obtain and parse all project information and identify each project's characteristics; Collect historical data related to the project, including past project progress, resource usage records, risk events and responses; Develop a monitoring plan to collect progress indicators, resource usage, and environmental conditions for monitoring projects.

3. The method according to claim 2, characterized in that The above mentioned consideration of the dependencies and interactions between projects, establishment of a multi-project risk assessment model, and identification of potential cross-risks and influencing factors include: Analyze the characteristics of each project, including size, complexity, technical requirements, and team structure, and determine the dependencies and interactions between project characteristics; Analyze dependencies and interactions between projects, and determine the potential consequences of the strength of interactions and dependencies; Conduct risk factor identification and identify potential factors that may cause risks, including internal and external factors; Build a multi-project risk assessment model to integrate project characteristics, dependencies and risk factors, identify potential cross-risks, and assess the likelihood and scope of cross-risks; Analyze the impact of identified risk factors on multiple projects and prioritize each risk factor.

4. The method according to claim 3, characterized in that: The steps for identifying potential cross-risks are as follows: R i =D i ×L i ; Among them, R i For risk scoring, D i is the risk exposure level, L i The amount of resources required to mitigate the risk.

5. The method according to claim 3, characterized in that: The possibility and scope of impact of the cross-risk assessment are as follows: Among them, P(R i |E) is the risk R when the event occurs i The conditional probability, P(E|R i ) is the risk R i The probability that event E will occur if i ) is the risk R i The prior probability of , P(E) is the probability of event E.

6. The method according to claim 3, characterized in that: The possibility and scope of impact of the cross-risk assessment are as follows: Get the project set P affected by the cross risk = {P1, P2, ..., P n }, then the cross-risk impact project set formula is: Among them, I C is the overall impact of risk C, is the impact intensity of risk C on project j, S j The importance of item j.

7. The method according to claim 3, characterized in that The risk factors are prioritized as follows: U i The total impact score of risk factors, W k is the weight of the kth impact factor, I ik is the impact of risk factor i on the kth item.

8. The method according to claim 3, characterized in that The risk assessment dashboard is established to record the risk status, cross-impact and potential risk events of each project, and to evaluate the impact of different decisions on inter-project risks, including: Recommend risk assessment dashboards based on indicators that reflect risk status and project health, showing the implementation risk status of each project; Record the cross-risk impacts between projects and set risk thresholds. When risk indicators exceed the risk thresholds, alarms are triggered. Simulate the impact of different emergency plans and risk mitigation strategies on inter-project risks, generate risk status changes under different scenarios, and evaluate the actual effect of the emergency plans and risk mitigation strategies on risk mitigation.

9. The multi-project engineering supervision collaborative management system based on cloud computing is characterized by: The system comprises: Data collection and real-time monitoring module, used to obtain all project information, including historical information data, real-time monitoring of project progress, resource usage, environmental conditions, and establish a data collection mechanism to continuously update the information and status of project collection; Multi-project risk assessment module, which is used to establish a multi-project risk assessment model based on historical data and project characteristics, taking into account the dependencies and interactions between projects, and identifying potential cross-risks and influencing factors; The risk response and strategy generation module is used to generate and match corresponding emergency plans and risk mitigation strategies for the identified cross-risks; The risk visualization and decision support module is used to establish a risk assessment dashboard, record the risk status, cross-impact and potential risk events of each project, and evaluate the impact of different decisions on inter-project risks.

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