Emergency demand processing framework

Abstract

The invention discloses an emergency demand processing framework. The framework comprises the following steps: S1, determining the type and range of an emergency demand; s2, determining a response strategy according to the type and range of the emergency demand; s3, making a response plan according to the response strategy; s4, executing the response plan according to the response plan; s5, in the response plan execution process, the response effect needs to be continuously monitored, the difference needs to be found out, and a corresponding optimization strategy needs to be formulated. The optimal response time is calculated by obtaining the scheduling load and scheduling delay data information of the service party participating in the emergency demand response, and the user participating in the emergency demand response is selected according to the minimum delay principle; the demand response load shedding operation is realized according to the demand response participation minimum criterion, so that the effect that the user participates in the vpp scheduling service can be effectively improved, the total iteration demand is evaluated in a quantitative mode, the demand effect is continuously tracked and monitored after the demand is online, the gap is found out, and the corresponding optimization strategy is formulated.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency demand response of demand-side resources based on minimum scheduling delay, and specifically to an emergency demand processing framework. Background Art

[0002] In modern enterprises and organizations, the business environment changes rapidly, the market competition is fierce, and customer needs are diversified, resulting in an increasingly frequent occurrence of emergency demands. Emergency demands usually have the following characteristics: Suddenness: the demand appears suddenly, often without advance warning; High priority: the demand has a significant impact on the business or is of high concern to senior management; Time pressure: It needs to be completed in a very short time, otherwise it may cause significant losses or missed opportunities.

[0003] Due to the particularity of emergency needs, traditional emergency demand processing methods have slow response speeds, unsystematic processes, unreasonable resource allocation, high communication costs, chaotic priority management, insufficient risk control, lack of monitoring and feedback, reliance on personal experience, and difficulties in cross-departmental collaboration. These methods have seriously affected the efficiency and quality of emergency demand processing and cannot meet the requirements of modern enterprises for rapid response and efficient delivery. Summary of the Invention

[0004] The purpose of the present invention is to provide an emergency demand processing framework to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, an emergency demand processing framework includes the following steps:

[0006] S1. Determine the type and scope of the emergency need;

[0007] S2. Determine the response strategy based on the type and scope of the emergency need;

[0008] S3. Develop a response plan based on the response strategy;

[0009] S4. Execute the response plan according to the response plan;

[0010] S5. During the implementation of the response plan, it is necessary to continuously monitor the response effect, identify gaps and formulate corresponding optimization strategies.

[0011] Preferably, the confirmation of the urgent demand in step S1 includes the scope of demand, data interface support, data integrity check and repetitive data analysis;

[0012] The scope of the requirement specifically includes the coverage of the requirement, including which departments, systems, functions or personnel are involved;

[0013] The data interface support situation specifically includes reviewing whether the existing data interface can support rapid response to requirements and whether adjustment or development of a new interface is required;

[0014] The data integrity check specifically checks the integrity of the data to ensure that the relevant data is complete and correct;

[0015] The repetitive data analysis specifically involves identifying whether there is repetitive or redundant data.

[0016] Preferably, the corresponding strategy determined in step S2 includes locating core issues, communicating with historical counterparts, quickly drawing up solutions, and risk prediction;

[0017] The core problem positioning mentioned above is to accurately identify the core problems of the needs, ensure that the path is not deviated, and concentrate resources to solve the most pressing problems;

[0018] The communication history contact person is specifically to communicate with the person or team who has previously handled similar issues, understand historical data and solutions, and quickly collect information;

[0019] The rapid planning process specifically involves developing a rapid response plan, clarifying how to initiate action as quickly as possible, and considering feasible rapid decision-making plans and their priorities.

[0020] The risk prediction specifically involves assessing possible risks and making early warnings and preparations.

[0021] Preferably, the formulation of the response plan in step S3 includes iterative content determination, testing and acceptance plan, and demand optimization stages;

[0022] The iterative content is determined to be the iterative content of the clear requirements and the scope of the requirements change, including function expansion, system adjustment and optimization;

[0023] The test and acceptance plan specifically includes formulating a detailed test and acceptance plan;

[0024] The demand optimization phase is specifically an optimization phase after demand response is taken into consideration.

[0025] Preferably, executing the response plan in step S4 includes obtaining user scheduling data, calculating the optimal response time, scheduling according to the principle of minimum delay, and performing demand response load shedding operations;

[0026] The obtaining of user scheduling data specifically involves collecting scheduling load data participating in emergency demand response from the user end;

[0027] The optimal response time is calculated based on factors such as response load of different users and network delay;

[0028] The scheduling based on the minimum delay principle specifically includes selecting users who participate in the emergency demand response based on the calculated optimal response time;

[0029] The demand response load shedding operation specifically involves switching or adjusting the load according to the minimum criteria for demand response participation.

[0030] Preferably, monitoring the response effect in step S5 includes continuous monitoring, gap analysis, and optimization strategy formulation;

[0031] The continuous monitoring specifically involves real-time monitoring of the execution of each link during the execution of the response plan, and checking for response delays, data errors, or resource bottlenecks through data collection and analysis;

[0032] The gap analysis specifically involves comparing expected and actual results to identify gaps in implementation;

[0033] The optimization strategy is formulated specifically to formulate an optimization plan based on the monitoring results to improve the deficiencies in the response plan.

[0034] As a preferred option, the workflow of the emergency demand processing framework is as follows: the customer or business party proposes a demand, clarifying the background and goals; the product team assesses the importance of the demand and decides whether to give priority to it; the product team develops a detailed plan or looks for alternative solutions; confirms the plan or adjusts the demand with the customer or business party; the product and R&D teams clarify the technical details and delivery plan; the R&D team releases resources and arranges the development schedule; the R&D team completes development and conducts testing; delivers functions and completes acceptance testing; monitors usage and develops optimization plans.

[0035] As a preference, when evaluating the priority of requirements, a weight is assigned to each evaluation criterion, and the product of the weight and the score is summed to obtain a priority score, which is as follows:

[0036] Priority Score=(B i ×W B )+(U i ×W U )+(C i ×W C )+(R i ×W R ),

[0037] Among them, B i Indicates the business impact score, usually from low to high; W B Indicates the weight of business impact; U i Indicates the urgency rating, usually from low to high; W U The weight indicating the degree of urgency; C i Indicates customer priority rating, usually from low to high; W C Represents the weight of customer priority; R i Indicates the resource demand score, usually from low to high; W RIndicates the weight of resource demand.

[0038] Compared with the existing technology, the beneficial effects of the present invention are: the present invention obtains the data information of the business parties participating in the emergency demand response scheduling load and scheduling delay, calculates the optimal response time, selects users participating in the emergency demand response according to the principle of minimum delay, and implements the demand response load shedding operation according to the minimum demand response participation criterion, thereby effectively improving the effect of users participating in the VPP scheduling business, evaluating the total iterative demand in a quantitative manner, and continuously tracking and monitoring the demand effect after the demand goes online, identifying the gap and formulating corresponding optimization strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 Flow chart of the steps of the present invention;

[0040] Figure 2 This is a framework diagram of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0042] See also Figure 1 The present invention provides a technical solution: an emergency demand processing framework, comprising the following steps:

[0043] S1. Determine the type and scope of the urgent need, including the scope of the need, data interface support, data integrity check, and repetitive data analysis. The scope of the need specifically involves confirming the coverage of the need, including which departments, systems, functions, or personnel are involved; data interface support specifically involves reviewing whether the existing data interface can support a rapid response to the need, and whether adjustments or development of new interfaces are required; data integrity check specifically involves checking the integrity of the data to ensure that the relevant data is complete and correct; repetitive data analysis specifically involves identifying whether there is duplicate or redundant data.

[0044] It should be noted that when performing data integrity checks, null value checks are performed to check whether there are missing values ​​in the data. The formula for the null value ratio is:

[0045]

[0046] If the proportion of missing values ​​is too high, the missing data needs to be processed.

[0047] S2. Determine the response strategy based on the type and scope of the emergency need, including core problem identification, communication with historical contacts, rapid plan drawing and risk prediction. Core problem identification involves accurately identifying the core issues of the need to ensure that the path is not deviated and resources are concentrated on solving the most urgent problems; communication with historical contacts involves communicating with people or teams that have previously dealt with similar problems, understanding historical data and solutions, and quickly collecting information; rapid plan drawing involves formulating a rapid response plan, clarifying how to initiate action as soon as possible, and considering feasible rapid decision-making plans and the priority of the plans; risk prediction involves evaluating possible risks and making warnings and preparations in advance.

[0048] It should be noted that the analysis method for locating the core problem is: Problem identification formula:

[0049] Core problem identification = demand description - interference factors (ensure focus on core needs),

[0050] In this formula, the requirement description refers to the preliminary information obtained from the demand side, and interference factors refer to redundant information or irrelevant background data that may cause the problem to deviate from the core during the demand analysis process. This formula can clearly identify the main direction of the demand;

[0051] Communicate with historical contacts. By communicating with teams or people who have dealt with similar issues in the past, you can gather information more quickly and refer to past data and solutions. The information collection formula is:

[0052]

[0053] You can evaluate how quickly historical data and solutions can be obtained through communication with historical contacts. The shorter the communication time and the richer the historical cases, the higher the efficiency of information collection.

[0054] Quickly draw up a plan. In an emergency, develop a quick and executable plan to clarify how to initiate action and prioritize solving the most urgent problems. The plan priority formula is:

[0055]

[0056] Urgency of need: Assign a score based on the urgency of the need (e.g., from 1 to 5, with 5 being the most urgent); Resource feasibility: Assess the adequacy of resources based on whether existing resources can support rapid execution; Risk impact: Measure the potential risks associated with implementing a solution. Generally, the greater the risk impact, the lower the priority.

[0057] Risk prediction: During the emergency response process, assess possible risks and make early warnings and preparations. The risk assessment formula is:

[0058] Risk index = probability × impact,

[0059] Probability: The likelihood of a risk occurring, typically expressed on a scale of 0 to 1, with 0 being unlikely and 1 being certain to occur. Impact: The potential impact of a risk if it occurs, typically measured numerically, such as from 1 (minor impact) to 5 (major impact). Based on the risk index, appropriate risk management and preparedness can be implemented. For high-risk, high-impact situations, contingency plans and response measures should be developed in advance.

[0060] S3. Develop a response plan based on the response strategy, including iterative content determination, testing and acceptance plan, and demand optimization phase. Iterative content determination specifically involves clarifying the iterative content of the requirements and the scope of requirement changes, including functional expansion, system adjustment, and optimization; the testing and acceptance plan specifically involves developing detailed testing and acceptance plans; and the demand optimization phase specifically involves the optimization phase after considering the demand response.

[0061] It should be noted that the test plan must include functional testing, regression testing, performance testing, and compatibility testing. Functional testing: ensures that all new functions work as required by the requirements document; regression testing: verifies that new functions and adjustments do not affect the functions of the existing system; performance testing: checks the performance of the system under high load and concurrent access to ensure that the system does not crash when responding to urgent needs; compatibility testing: verifies the compatibility of the system with different environments and devices. The test coverage formula is:

[0062]

[0063] The higher the test coverage, the more comprehensive the test is;

[0064] Acceptance criteria should be formulated in detail based on the requirements document and test results to ensure that the requirements have been achieved and meet the quality standards. Acceptance criteria: Check according to the requirements acceptance criteria to confirm whether the functions are normal and whether the performance meets the requirements; User acceptance: After the testing phase is completed, user acceptance is carried out to ensure that the user experience meets expectations. The acceptance pass rate formula is:

[0065]

[0066] A high acceptance pass rate means that the requirements meet user expectations and the project is delivered successfully.

[0067] S4. Execute the response plan according to the response plan, including obtaining user scheduling data, calculating the optimal response time, scheduling according to the principle of minimum delay, and demand response load shedding operations. Obtaining user scheduling data specifically involves collecting scheduling load data participating in emergency demand response from the user end; calculating the optimal response time specifically involves calculating the optimal response time based on factors such as the response load of different users and network delay; scheduling according to the principle of minimum delay specifically involves selecting users participating in emergency demand response based on the calculated optimal response time; and demand response load shedding operations specifically involve switching or adjusting loads based on the minimum criteria for demand response participation.

[0068] S5. During the execution of the response plan, it is necessary to continuously monitor the response effect, identify gaps and formulate corresponding optimization strategies, including continuous monitoring, gap analysis and optimization strategy formulation. Continuous monitoring specifically involves real-time monitoring of the execution status of each link when executing the response plan, and checking for response delays, data errors or resource bottlenecks through data collection and analysis; gap analysis specifically involves comparing expected and actual effects to identify gaps in execution; optimization strategy formulation specifically involves formulating optimization plans based on monitoring results to improve deficiencies in the response plan.

[0069] It should be noted that continuous monitoring can ensure that the response plan is carried out according to the predetermined goals and promptly detect possible delays or anomalies. Continuous monitoring is mainly achieved through data collection, real-time analysis and feedback mechanisms. Correspondingly, delay monitoring is to monitor the response time of each link to ensure that there is no delay and timely response to needs. Delays may be caused by insufficient resources, system failures, poor communication, etc. The delay time formula is:

[0070] Response delay time = actual response time - expected response time,

[0071] If the response delay is greater than the set threshold, an investigation and action should be taken;

[0072] Data error monitoring is used to monitor data flow and system output in real time to ensure data accuracy. If errors occur, data verification and repair mechanisms are used to promptly detect problems. The data accuracy formula is:

[0073]

[0074] If the data accuracy is lower than the predetermined standard (e.g. 99%), further inspection of the data source and processing flow is required;

[0075] Resource bottleneck monitoring is used to monitor the usage of system or team resources and identify whether there are bottlenecks. The resource bottleneck identification formula is:

[0076]

[0077] If the bottleneck index approaches or exceeds 100%, it indicates resource overload and resource allocation needs to be expanded or adjusted;

[0078] Gap analysis is to compare the actual implementation results with the expected goals to find out the existing problems or deficiencies in implementation. The gap analysis formula is:

[0079] Gap = actual results - expected results,

[0080] If the gap is positive, it means that the actual effect is not as good as expected and further analysis is needed;

[0081] Optimization effect evaluation formula:

[0082]

[0083] This formula is used to evaluate the effects of optimization implementation, such as reduced response time and improved processing capacity.

[0084] See also Figure 2 The workflow of the emergency demand processing framework is as follows: the customer or business party puts forward the demand and clarifies the background and goals; the product team evaluates the importance of the demand and decides whether to give priority to it; the product team develops a detailed plan or looks for alternative solutions; confirms the plan or adjusts the demand with the customer or business party; the product and R&D teams clarify the technical details and delivery plan; the R&D team releases resources and arranges the development schedule; the R&D team completes development and conducts testing; delivers functions and completes acceptance testing; monitors usage and develops optimization plans.

[0085] To sum up, the present invention obtains the data information of the business parties participating in the emergency demand response scheduling load and scheduling delay, calculates the optimal response time, selects users participating in the emergency demand response according to the principle of minimum delay, and implements the demand response load shedding operation according to the minimum demand response participation criterion, thereby effectively improving the effect of users participating in the VPP scheduling service.

[0086] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An emergency demand processing framework, characterized in that: The steps include: S1. Determine the type and scope of the emergency need; S2. Determine the response strategy based on the type and scope of the emergency need; S3. Develop a response plan based on the response strategy; S4. Execute the response plan according to the response plan; S5. During the implementation of the response plan, it is necessary to continuously monitor the response effect, identify gaps and formulate corresponding optimization strategies.

2. An emergency demand processing framework according to claim 1, characterized in that: Confirming the urgent needs in step S1 includes the scope of needs, data interface support, data integrity check and repetitive data analysis; The scope of the requirement specifically includes the coverage of the requirement, including which departments, systems, functions or personnel are involved; The data interface support situation specifically includes reviewing whether the existing data interface can support rapid response to requirements and whether adjustment or development of a new interface is required; The data integrity check specifically checks the integrity of the data to ensure that the relevant data is complete and correct; The repetitive data analysis specifically involves identifying whether there is repetitive or redundant data.

3. An emergency demand processing framework according to claim 1, characterized in that: The corresponding strategies determined in step S2 include locating the core issues, communicating with historical contacts, quickly drawing up solutions, and risk prediction; The core problem positioning mentioned above is to accurately identify the core problems of the needs, ensure that the path is not deviated, and concentrate resources to solve the most pressing problems; The communication history contact person is specifically to communicate with the person or team who has previously handled similar issues, understand historical data and solutions, and quickly collect information; The rapid planning process specifically involves developing a rapid response plan, clarifying how to initiate action as quickly as possible, and considering feasible rapid decision-making plans and their priorities. The risk prediction specifically involves assessing possible risks and making early warnings and preparations.

4. An emergency demand processing framework according to claim 1, characterized in that: The formulation of the response plan in step S3 includes the stages of iterative content determination, testing and acceptance plan, and demand optimization; The iterative content is determined to be the iterative content of the clear requirements and the scope of the requirements change, including function expansion, system adjustment and optimization; The test and acceptance plan specifically includes formulating a detailed test and acceptance plan; The demand optimization phase is specifically an optimization phase after demand response is taken into consideration.

5. An emergency demand processing framework according to claim 1, characterized in that: The execution of the response plan in step S4 includes obtaining user scheduling data, calculating the optimal response time, scheduling according to the principle of minimum delay, and performing demand response load shedding operations; The obtaining of user scheduling data specifically involves collecting scheduling load data participating in emergency demand response from the user end; The optimal response time is calculated based on factors such as response load of different users and network delay; The scheduling based on the minimum delay principle specifically includes selecting users who participate in the emergency demand response based on the calculated optimal response time; The demand response load shedding operation specifically involves switching or adjusting the load according to the minimum criteria for demand response participation.

6. An emergency demand processing framework according to claim 1, characterized in that: The monitoring response effect in step S5 includes continuous monitoring, gap analysis and optimization strategy formulation; The continuous monitoring specifically involves real-time monitoring of the execution of each link during the execution of the response plan, and checking for response delays, data errors, or resource bottlenecks through data collection and analysis; The gap analysis specifically involves comparing expected and actual results to identify gaps in implementation; The optimization strategy is formulated specifically to formulate an optimization plan based on the monitoring results to improve the deficiencies in the response plan.

7. An emergency demand processing framework according to claim 1, characterized in that: The workflow of the emergency demand processing framework is as follows: the customer or business party proposes a demand and clarifies the background and goals; the product team assesses the importance of the demand and decides whether to give priority to it; the product team develops a detailed plan or looks for alternative solutions; confirms the plan or adjusts the demand with the customer or business party; the product and R&D teams clarify the technical details and delivery plan; the R&D team releases resources and arranges the development schedule; the R&D team completes development and conducts testing; delivers functions and completes acceptance testing; monitors usage and develops optimization plans.

8. An emergency demand processing framework according to claim 7, characterized in that: When evaluating the priority of requirements, a weight is assigned to each evaluation criterion, and the product of the weight and the score is summed to obtain a priority score. The formula is: Priority Score=(B i ×W B )+(U i ×W U )+(C i ×W C )+(R i ×W R ), Among them, B i Indicates the business impact score, usually from low to high; W B Indicates the weight of business impact; U i Indicates the urgency rating, usually from low to high; W U The weight indicating the degree of urgency; C i Indicates customer priority rating, usually from low to high; W C Represents the weight of customer priority; R i Indicates the resource demand score, usually from low to high; W R Indicates the weight of resource demand.

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