Energy efficiency evaluation optimization system for emergency project

Abstract

The invention discloses an energy efficiency evaluation optimization system for an emergency project, which belongs to the field of evaluation optimization systems and comprises a resource configuration acquisition module, a response speed acquisition module, a processing effect acquisition module, a data receiving module, a data analysis module, a data import module, an early warning grading module and a notification module. The resource configuration acquisition module is used for acquiring human resource arrival rate information, material resource arrival rate information and fund arrival rate information of an emergency project, and sending the acquired information to the data receiving module; the response speed acquisition module is used for acquiring the on-site arrival time, decision making time and resource allocation time of an emergency project, and sending the acquired time information to the data receiving module. According to the method, the overall energy efficiency of the emergency project can be comprehensively evaluated, the accuracy of an evaluation result is improved, errors are reduced, and a good basis is provided for subsequent optimization.

Description

Technical Field

[0001] The invention relates to the field of evaluation and optimization systems, in particular to an energy efficiency evaluation and optimization system for emergency projects. Background Art

[0002] Emergency projects refer to a series of plans and measures developed for unexpected events or emergencies, aimed at preventing, responding, recovering and reducing losses. These projects usually involve multiple fields and levels, including but not limited to natural disasters, public health events, industrial accidents, information security, etc.

[0003] After an emergency project occurs, the relevant staff will go to deal with it as soon as possible, and evaluate the energy efficiency of the emergency project afterwards to understand what shortcomings still exist in this emergency project, and then carry out targeted optimization and improvement to improve the energy efficiency of handling the emergency project next time, so as to ensure that the emergency project can play the greatest role in responding to emergencies. Therefore, it is particularly important to better evaluate the energy efficiency of emergency projects.

[0004] The existing energy efficiency evaluation of emergency projects has the following problems: the overall evaluation is not comprehensive enough, resulting in large errors in the final evaluation results, and failing to provide a good basis for subsequent optimization. Therefore, those skilled in the art provide an energy efficiency evaluation optimization system for emergency projects to solve the problems raised in the above background technology. Summary of the invention

[0005] The purpose of the present invention is to provide an energy efficiency evaluation and optimization system for emergency projects, which can comprehensively evaluate the overall energy efficiency of emergency projects, improve the accuracy of evaluation results, reduce errors, and provide a good foundation for subsequent optimization to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An energy efficiency evaluation and optimization system for emergency projects, comprising a resource allocation acquisition module, a response speed acquisition module, a processing effect acquisition module, a data receiving module, a data analysis module, a data import module, a warning classification module and a notification module;

[0008] The resource allocation collection module is used to collect the information on the manpower availability rate, material availability rate and capital availability rate of the emergency project, and send the collected information to the data receiving module; the response speed collection module is used to collect the on-site arrival time, decision-making time and resource allocation time of the emergency project, and send the collected time information to the data receiving module; the processing effect collection module is used to collect the casualties information, property loss information and environmental damage information of the emergency project, and send the collected information to the data receiving module; the data receiving module is used to receive all the information for integration and send the integrated information to the data analysis module; the data import module is used to import preset data to the data analysis module; the data analysis module is used to receive all the information for analysis, and output the analysis results to the early warning classification module; the early warning classification module is used to classify the early warning according to the analysis results, and output the early warning classification results to the notification module; the notification module is used to issue early warnings of corresponding levels according to the early warning classification results.

[0009] As a further solution of the present invention: the specific process of the data analysis module analyzing the information collected by the resource configuration collection module is:

[0010] The collected human resources availability rate of emergency projects is marked as A1, the collected material resources availability rate of emergency projects is marked as A2, and the collected funds availability rate of emergency projects is marked as A3;

[0011] The preset emergency project manpower availability rate is marked as a1, the emergency project material availability rate is marked as a2, and the emergency project funding availability rate is marked as a3;

[0012] Compare A1 with a1, A2 with a2, and A3 with a3. If any of A1<a1, A2<a2, and A3<a3 appears in the comparison result, it means that the resource configuration of the emergency project is abnormal and proceed to the next step. If any of A1<a1, A2<a2, and A3<a3 does not appear in the comparison result, it means that the resource configuration of the emergency project is normal.

[0013] Calculate the resource configuration abnormality weight value V1=1-(A1*A2*A3).

[0014] As a further solution of the present invention: the specific process of the data analysis module analyzing the information collected by the response speed collection module is:

[0015] The collected on-site arrival time of the emergency project is marked as t1, the collected decision-making time of the emergency project is marked as t2, and the collected resource allocation time of the emergency project is marked as t3, where the on-site arrival time refers to the time taken by the emergency staff to arrive at the destination after receiving the notification;

[0016] The on-site arrival time of previous emergency projects is marked as T 现场 i, i = 1···n, and the decision-making time of previous emergency projects is marked as T 决策 i, i = 1···n, and the resource allocation time of previous emergency projects is marked as T 资源 i, i=1···n, where n is a positive integer;

[0017] Combine t1 with all T 现场 i is sorted, the smaller the time, the higher the ranking. The ranking of t1 is extracted and marked with a number as B1;

[0018] Combine t2 with all T 决策 i is sorted, the smaller the time, the higher the ranking. The ranking of t2 is extracted and marked with a number as B2;

[0019] Combine t3 with all T 资源 i is sorted, the smaller the time, the higher the ranking. The ranking of t3 is extracted and marked with a number as B3;

[0020] Compare B1 with the preset value b1, B2 with the preset value b2, and B3 with the preset value b3. If any of B1>b1, B2>b2, and B3>b3 appears in the comparison result, it means that the response speed of the emergency project is abnormal and proceed to the next step. If any of B1>b1, B2>b2, and B3>b3 does not appear in the comparison result, it means that the response speed of the emergency project is normal.

[0021] The response speed abnormality weight value V2 is calculated as follows: (B1 / b1)*(B2 / b2)*(B3 / b3).

[0022] As a further solution of the present invention: the specific process of the data analysis module analyzing the information collected by the processing effect collection module is:

[0023] Constructing a casualty analysis model, importing the collected casualty information into the casualty analysis model, and outputting a first analysis result;

[0024] Constructing a property loss analysis model, importing the collected property loss information into the property loss analysis model, and outputting a second analysis result;

[0025] Constructing an environmental damage analysis model, importing the collected environmental damage information into the environmental damage analysis model, and outputting a third analysis result;

[0026] If any one of the first analysis result, the second analysis result, and the third analysis result is abnormal, it means that the treatment effect of the emergency project is abnormal.

[0027] As a further solution of the present invention: the specific analysis process of the casualty analysis model is as follows:

[0028] The total number of injured people in this emergency project is marked as X, and the total number of deaths in this emergency project is marked as Y;

[0029] The injured persons are divided according to the disability level, wherein the number of injured persons with a disability level of one is marked as x1, the number of injured persons with a disability level of two is marked as x2, the number of injured persons with a disability level of three is marked as x3, the number of injured persons with a disability level of four is marked as x4, and the number of non-disabled injured persons is marked as x5, X = (x1 + x2 + x3 + x4 + x5);

[0030] Calculate the casualty weight value V3 = Y + (90% * x1) + (60% * x2) + (30% * x3) + (20% * x4) + (10% * x5);

[0031] Compare V3 with the preset value v3. If V3>v3, it means that the casualties in this emergency project are abnormal. If V3≤v3, it means that the casualties in this emergency project are normal.

[0032] As a further solution of the present invention: the specific analysis process of the property loss analysis model is:

[0033] The direct loss amount corresponding to this emergency project is marked as C1, and the indirect loss amount corresponding to this emergency project is marked as C2;

[0034] Compare C1 with the preset amount c1, and compare C2 with the preset amount c2;

[0035] If any of C1>c1 and C2>c2 appears in the comparison result, it means that the property loss of this emergency project is abnormal and proceed to the next step. If any of C1>c1 and C2>c2 does not appear in the comparison result, it means that the property loss of this emergency project is normal.

[0036] Calculate the property loss weight value V4 = (C1 / c1)*(C2 / c2).

[0037] As a further solution of the present invention: the specific analysis process of the environmental damage analysis model is:

[0038] The harmful gas emission corresponding to this emergency project is marked as D1, the soil contaminated area corresponding to this emergency project is marked as D2, and the water source contaminated area corresponding to this emergency project is marked as D3;

[0039] Generate a radar chart P based on D1, D2, and D3, calculate the area of ​​the radar chart P and mark it as S;

[0040] Mark the preset radar chart as p, calculate the area of ​​the preset radar chart p and mark it as s;

[0041] Compare S with s. If S>s, it means that the environmental damage corresponding to this emergency project is abnormal. If S≤s, it means that the environmental damage corresponding to this emergency project is normal.

[0042] As a further solution of the present invention: the specific process of the early warning classification module for classification is:

[0043] If the analysis results show that the resource allocation of emergency projects is abnormal, the response speed of emergency projects is abnormal, or the treatment effect of emergency projects is abnormal, the warning level issued will be level 1;

[0044] If any two of the following are found in the analysis results: abnormal resource allocation of emergency projects, abnormal response speed of emergency projects, and abnormal treatment effect of emergency projects, the warning level issued will be level 2;

[0045] If the analysis results show that the resource allocation of emergency projects is abnormal, the response speed of emergency projects is abnormal, and the processing effect of emergency projects is abnormal, the warning level issued will be level three.

[0046] As a further solution of the present invention: the notification module includes a display screen and an audible and visual alarm, wherein the display screen is used to display the analysis results, and the audible and visual alarm flashes yellow light when the warning level is level one, flashes red light when the warning level is level two, and flashes red light and emits a buzzing sound when the warning level is level three.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] 1. This application collects relevant information on emergency response speed, resource allocation capabilities and treatment effects to comprehensively evaluate the overall energy efficiency of emergency projects, improve the accuracy of evaluation results, reduce errors, and provide a good foundation for subsequent optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a structural block diagram of an energy efficiency evaluation and optimization system for an emergency project. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] As mentioned in the background technology of this application, research has found that in the energy efficiency evaluation process of existing emergency projects, the overall evaluation is not comprehensive enough, resulting in large errors in the final evaluation results, which cannot provide a good basis for subsequent optimization and has certain defects.

[0052] In order to solve the above-mentioned defects, the present application discloses an energy efficiency evaluation and optimization system for emergency projects, which can comprehensively evaluate the overall energy efficiency of emergency projects, improve the accuracy of evaluation results, reduce errors, and provide a good foundation for subsequent optimization.

[0053] The following will describe in detail how the solution of the present application solves the above technical problems in conjunction with the accompanying drawings.

[0054] See also Figure 1 In an embodiment of the present invention, an energy efficiency evaluation and optimization system for emergency projects includes a resource allocation collection module, a response speed collection module, a processing effect collection module, a data receiving module, a data analysis module, a data import module, an early warning classification module and a notification module; the resource allocation collection module is used to collect the manpower availability rate information, material availability rate information and capital availability rate information of the emergency project, and send the collected information to the data receiving module; the response speed collection module is used to collect the on-site arrival time, decision-making time and resource allocation time of the emergency project, and send the collected time information to the data receiving module; the processing effect collection module is used to collect the casualties information, property loss information and environmental damage information of the emergency project, and send the collected information to the data receiving module; the data receiving module is used to receive all the information for integration and send the integrated information to the data analysis module; the data import module is used to import preset data into the data analysis module; the data analysis module is used to receive all the information for analysis and output the analysis results to the early warning classification module; the early warning classification module is used to classify the early warning according to the analysis results, and output the early warning classification results to the notification module; the notification module is used to issue an early warning of a corresponding level according to the early warning classification results. This application conducts a comprehensive assessment of the overall energy efficiency of emergency projects by collecting relevant information on emergency response speed, resource allocation capabilities, and processing effects, thereby improving the accuracy of assessment results, reducing errors, and providing a good foundation for subsequent optimization.

[0055] In this embodiment, the specific process of the data analysis module analyzing the information collected by the resource configuration acquisition module is: marking the collected manpower availability rate of the emergency project as A1, marking the collected material availability rate of the emergency project as A2, and marking the collected funding availability rate of the emergency project as A3; marking the preset manpower availability rate of the emergency project as a1, the material availability rate of the emergency project as a2, and the funding availability rate of the emergency project as a3; comparing A1 with a1, A2 with a2, and A3 with a3. If any one of A1<a1, A2<a2, and A3<a3 appears in the comparison result, it means that the resource configuration of the emergency project is abnormal and proceeds to the next step. If any one of A1<a1, A2<a2, and A3<a3 does not appear in the comparison result, it means that the resource configuration of the emergency project is normal; calculate the resource configuration abnormality weight value V1=1-(A1*A2*A3). Emergency projects need to ensure that the allocated resources (such as human, material, and financial resources) can meet emergency needs and can be fully utilized in the actual use process to avoid resource waste. In many cases, in emergency projects under sudden events, it is difficult to meet all human, material, and financial resources in a short period of time. Under such conditions, in order to ensure timeliness, projects are usually carried out before human, material, and financial resources are fully in place. However, in order to ensure the smooth progress of the project, human, material, and financial resources cannot be too much. For this reason, this application conducts a comparative analysis.

[0056] In this embodiment, the specific process of the data analysis module analyzing the information collected by the response speed acquisition module is as follows: the collected on-site arrival time of the emergency project is marked as t1, the collected decision-making time of the emergency project is marked as t2, and the collected resource allocation time of the emergency project is marked as t3, wherein the on-site arrival time refers to the time taken by the emergency staff from receiving the notification to the destination; the on-site arrival time of the previous emergency project is marked as T 现场 i, i = 1···n, and the decision-making time of previous emergency projects is marked as T 决策 i, i = 1···n, and the resource allocation time of previous emergency projects is marked as T 资源 i, i = 1···n, where n is a positive integer; compare t1 with all T 现场 i is sorted, the smaller the time, the higher the ranking. Extract the ranking of t1 and mark it with a number as B1; compare t2 with all T 决策 i is sorted, the smaller the time, the higher the ranking. Extract the ranking of t2 and mark it with a number as B2; compare t3 with all T 资源i is sorted, the smaller the time, the higher the ranking. The ranking of t3 is extracted and marked as B3 with a number; B1 is compared with the preset value b1, B2 is compared with the preset value b2, and B3 is compared with the preset value b3. If any of B1>b1, B2>b2, and B3>b3 appears in the comparison result, it means that the response speed of the emergency project is abnormal and enters the next step. If any of B1>b1, B2>b2, and B3>b3 does not appear in the comparison result, it means that the response speed of the emergency project is normal; calculate the abnormal response speed weight value V2 = (B1 / b1)*(B2 / b2)*(B3 / b3). The emergency project needs to have the ability to start and respond quickly after the emergency occurs, and arrive at the scene and deal with it in the shortest time. This includes rapid response in various links such as information transmission, decision-making, and resource allocation. It should be noted that the smaller the time used in these links, the faster the response speed.

[0057] In this embodiment, the specific process of the data analysis module analyzing the information collected by the processing effect acquisition module is as follows: constructing a casualty analysis model, importing the collected casualty information into the casualty analysis model, and outputting a first analysis result; constructing a property loss analysis model, importing the collected property loss information into the property loss analysis model, and outputting a second analysis result; constructing an environmental damage analysis model, importing the collected environmental damage information into the environmental damage analysis model, and outputting a third analysis result; if any of the first analysis result, the second analysis result, and the third analysis result is abnormal, it means that the processing effect of the emergency project is abnormal. The core goal of the emergency project is to reduce the losses caused by emergencies, including casualties, property losses, and environmental damage. Therefore, the energy efficiency of the emergency project is also reflected in whether it can effectively reduce the impact of disasters and protect the lives and property of the people. The people's treatment effect of the emergency project is usually measured based on casualties, property losses, and environmental damage.

[0058] In this embodiment, the specific analysis process of the casualty analysis model is as follows: mark the total number of injured persons in this emergency project as X, and mark the total number of deaths in this emergency project as Y; divide the injured persons according to the disability level, wherein the number of injured persons with a disability level of one is marked as x1, the number of injured persons with a disability level of two is marked as x2, the number of injured persons with a disability level of three is marked as x3, the number of injured persons with a disability level of four is marked as x4, and the number of non-disabled injured persons is marked as x5, X=(x1+x2+x3+x4+x5); calculate the casualty weight value V3=Y+(90%*x1)+(60%*x2)+(30%*x3)+(20%*x4)+(10%*x5); compare V3 with the preset value v3, if V3>v3, it means that the casualties in this emergency project are abnormal, if V3≤v3, it means that the casualties in this emergency project are normal. This setting can quickly analyze the casualties in this emergency project, among which the disability levels are divided from level one to level four, with level one being the most serious and level four being the lightest.

[0059] In this embodiment, the specific analysis process of the property loss analysis model is as follows: mark the direct loss amount corresponding to this emergency project as C1, and mark the indirect loss amount corresponding to this emergency project as C2; compare C1 with the preset amount c1, and compare C2 with the preset amount c2; if any one of C1>c1 and C2>c2 appears in the comparison result, it means that the property loss of this emergency project is abnormal and enters the next step; if any one of C1>c1 and C2>c2 does not appear in the comparison result, it means that the property loss of this emergency project is normal; calculate the property loss weight value V4=(C1 / c1)*(C2 / c2). This setting can quickly analyze the property loss in this emergency project, among which direct loss refers to the loss caused by the reduction or complete loss of the value of the property itself due to disaster accidents, such as vehicle crashes, stolen goods, etc. Indirect loss refers to other losses caused by direct loss, such as profit loss and rental loss caused by suspension of production and business.

[0060] In this embodiment, the specific analysis process of the environmental damage analysis model is: mark the harmful gas emissions corresponding to this emergency project as D1, mark the soil contaminated area corresponding to this emergency project as D2, and mark the water source contaminated area corresponding to this emergency project as D3; generate radar chart P based on D1, D2, and D3, calculate the area of ​​radar chart P and mark it as S; mark the preset radar chart as p, calculate the area of ​​preset radar chart p and mark it as s; compare S with s, if S>s, it means that the environmental damage corresponding to this emergency project is abnormal, if S≤s, it means that the environmental damage corresponding to this emergency project is normal. This setting can quickly analyze the environmental damage in this emergency project.

[0061] In this embodiment, the specific process of grading by the early warning grading module is as follows: if any one of the abnormal resource configuration of the emergency project, the abnormal response speed of the emergency project, and the abnormal treatment effect of the emergency project appears in the analysis result, the early warning level issued is level one; if any two of the abnormal resource configuration of the emergency project, the abnormal response speed of the emergency project, and the abnormal treatment effect of the emergency project appear in the analysis result, the early warning level issued is level two; if all of the abnormal resource configuration of the emergency project, the abnormal response speed of the emergency project, and the abnormal treatment effect of the emergency project appear in the analysis result, the early warning level issued is level three. This setting can divide different early warning levels according to the urgency of the situation to facilitate identification by staff.

[0062] In this embodiment, the notification module includes a display screen and an audible and visual alarm, wherein the display screen is used to display the analysis results, and the audible and visual alarm flashes yellow light when the warning level is level 1, flashes red light when the warning level is level 2, and flashes red light and emits a buzzer when the warning level is level 3. This setting facilitates the staff to clearly and intuitively understand the abnormality of the situation.

[0063] The present invention collects relevant information on emergency response speed, resource allocation capability and processing effect to comprehensively evaluate the overall energy efficiency of emergency projects, improve the accuracy of evaluation results, reduce errors, and provide a good foundation for subsequent optimization.

[0064] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0065] What is described above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An energy efficiency evaluation and optimization system for emergency projects, characterized in that: It includes resource configuration collection module, response speed collection module, processing effect collection module, data receiving module, data analysis module, data import module, early warning classification module and notification module; The resource allocation acquisition module is used to collect information on the manpower availability rate, material availability rate and capital availability rate of the emergency project, and send the collected information to the data receiving module; the response speed acquisition module is used to collect the on-site arrival time, decision-making time and resource allocation time of the emergency project, and send the collected time information to the data receiving module; the processing effect acquisition module is used to collect information on casualties, property losses and environmental damage of the emergency project, and send the collected information to the data receiving module; The data receiving module is used to receive all the information, integrate it and send the integrated information to the data analysis module; The data import module is used to import preset data into the data analysis module; the data analysis module is used to receive all information for analysis and output the analysis results to the early warning classification module; the early warning classification module is used to classify early warnings according to the analysis results, and output the early warning classification results to the notification module; the notification module is used to issue early warnings of corresponding levels according to the early warning classification results.

2. The energy efficiency evaluation and optimization system for emergency projects according to claim 1 is characterized in that: The specific process of the data analysis module analyzing the information collected by the resource configuration collection module is as follows: The collected human resources availability rate of emergency projects is marked as A1, the collected material resources availability rate of emergency projects is marked as A2, and the collected funds availability rate of emergency projects is marked as A3; The preset emergency project manpower availability rate is marked as a1, the emergency project material availability rate is marked as a2, and the emergency project funding availability rate is marked as a3; Compare A1 with a1, A2 with a2, and A3 with a3. If any of A1<a1, A2<a2, and A3<a3 appears in the comparison result, it means that the resource configuration of the emergency project is abnormal and proceed to the next step. If any of A1<a1, A2<a2, and A3<a3 does not appear in the comparison result, it means that the resource configuration of the emergency project is normal. Calculate the resource configuration abnormality weight value V1=1-(A1*A2*A3).

3. The energy efficiency evaluation and optimization system for emergency projects according to claim 2 is characterized in that: The specific process of the data analysis module analyzing the information collected by the response speed acquisition module is as follows: The collected on-site arrival time of the emergency project is marked as t1, the collected decision-making time of the emergency project is marked as t2, and the collected resource allocation time of the emergency project is marked as t3, where the on-site arrival time refers to the time taken by the emergency staff to arrive at the destination after receiving the notification; The on-site arrival time of previous emergency projects is marked as T 现场 i, i = 1···n, and the decision-making time of previous emergency projects is marked as T 决策 i, i = 1···n, and the resource allocation time of previous emergency projects is marked as T 资源 i, i=1···n, where n is a positive integer; Combine t1 with all T 现场 i is sorted, the smaller the time, the higher the ranking. The ranking of t1 is extracted and marked with a number as B1; Combine t2 with all T 决策 i is sorted, the smaller the time, the higher the ranking. The ranking of t2 is extracted and marked with a number as B2; Combine t3 with all T 资源 i is sorted, the smaller the time, the higher the ranking. The ranking of t3 is extracted and marked with a number as B3; Compare B1 with the preset value b1, B2 with the preset value b2, and B3 with the preset value b3. If any of B1>b1, B2>b2, and B3>b3 appears in the comparison result, it means that the response speed of the emergency project is abnormal and proceed to the next step. If any of B1>b1, B2>b2, and B3>b3 does not appear in the comparison result, it means that the response speed of the emergency project is normal. The response speed abnormality weight value V2 is calculated as follows: (B1 / b1)*(B2 / b2)*(B3 / b3).

4. The energy efficiency evaluation and optimization system for emergency projects according to claim 3 is characterized in that: The specific process of the data analysis module analyzing the information collected by the processing effect collection module is as follows: Constructing a casualty analysis model, importing the collected casualty information into the casualty analysis model, and outputting a first analysis result; Constructing a property loss analysis model, importing the collected property loss information into the property loss analysis model, and outputting a second analysis result; Constructing an environmental damage analysis model, importing the collected environmental damage information into the environmental damage analysis model, and outputting a third analysis result; If any one of the first analysis result, the second analysis result, and the third analysis result is abnormal, it means that the treatment effect of the emergency project is abnormal.

5. The energy efficiency evaluation and optimization system for emergency projects according to claim 4 is characterized in that: The specific analysis process of the casualty analysis model is as follows: The total number of injured people in this emergency project is marked as X, and the total number of deaths in this emergency project is marked as Y; The injured persons are divided according to the disability level, wherein the number of injured persons with a disability level of one is marked as x1, the number of injured persons with a disability level of two is marked as x2, the number of injured persons with a disability level of three is marked as x3, the number of injured persons with a disability level of four is marked as x4, and the number of non-disabled injured persons is marked as x5, X = (x1 + x2 + x3 + x4 + x5); Calculate the casualty weight value V3 = Y + (90% * x1) + (60% * x2) + (30% * x3) + (20% * x4) + (10% * x5); Compare V3 with the preset value v3. If V3>v3, it means that the casualties in this emergency project are abnormal. If V3≤v3, it means that the casualties in this emergency project are normal.

6. The energy efficiency evaluation and optimization system for emergency projects according to claim 5, characterized in that: The specific analysis process of the property loss analysis model is as follows: The direct loss amount corresponding to this emergency project is marked as C1, and the indirect loss amount corresponding to this emergency project is marked as C2; Compare C1 with the preset amount c1, and compare C2 with the preset amount c2; If any of C1>c1 and C2>c2 appears in the comparison result, it means that the property loss of this emergency project is abnormal and proceed to the next step. If any of C1>c1 and C2>c2 does not appear in the comparison result, it means that the property loss of this emergency project is normal. Calculate the property loss weight value V4 = (C1 / c1)*(C2 / c2).

7. The energy efficiency evaluation and optimization system for emergency projects according to claim 6 is characterized in that: The specific analysis process of the environmental damage analysis model is as follows: The harmful gas emission corresponding to this emergency project is marked as D1, the soil contaminated area corresponding to this emergency project is marked as D2, and the water source contaminated area corresponding to this emergency project is marked as D3; Generate a radar chart P based on D1, D2, and D3, calculate the area of ​​the radar chart P and mark it as S; Mark the preset radar chart as p, calculate the area of ​​the preset radar chart p and mark it as s; Compare S with s. If S>s, it means that the environmental damage corresponding to this emergency project is abnormal. If S≤s, it means that the environmental damage corresponding to this emergency project is normal.

8. The energy efficiency evaluation and optimization system for emergency projects according to claim 7, characterized in that: The specific process of classification by the early warning classification module is as follows: If the analysis results show that the resource allocation of emergency projects is abnormal, the response speed of emergency projects is abnormal, or the treatment effect of emergency projects is abnormal, the warning level issued will be level 1; If any two of the following are found in the analysis results: abnormal resource allocation of emergency projects, abnormal response speed of emergency projects, and abnormal treatment effect of emergency projects, the warning level issued will be level 2; If the analysis results show that the resource allocation of emergency projects is abnormal, the response speed of emergency projects is abnormal, and the processing effect of emergency projects is abnormal, the warning level issued will be level three.

9. The energy efficiency evaluation and optimization system for emergency projects according to claim 8, characterized in that: The notification module includes a display screen and an audible and visual alarm, wherein the display screen is used to display the analysis results, and the audible and visual alarm flashes yellow light when the warning level is level one, flashes red light when the warning level is level two, and flashes red light and emits a buzzing sound when the warning level is level three.

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