College student apartment emergency evacuation capability assessment method and system

Abstract

The invention discloses a college student apartment emergency evacuation capability assessment method and system, and relates to the technical field of emergency management. Comprising the following steps of collecting historical and real-time emergency capability training information, escape channel information, obstacle information and personnel information of students in an apartment, performing normalization processing on the emergency capability training information, the escape channel information, the obstacle information and the personnel information, and then storing the information into a drilling database; and acquiring historical emergency capability training information from the drilling database, comprehensively analyzing the historical emergency capability training information to obtain an evacuation capability attention analysis result, and comprehensively analyzing the real-time escape channel information and the real-time obstacle information to obtain an evacuation capability analysis result. According to the invention, the problem that the assessment of the emergency evacuation capability of the student apartments in colleges and universities focuses on consideration of relative static factors such as building structures and fire-fighting facilities and neglects dynamic factors such as personnel mobility is solved, and the effect of improving the assessment accuracy is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency management, and in particular to a method and system for evaluating the emergency evacuation capability of a university student dormitory. Background Art

[0002] As an important base for talent cultivation, the safety management of student dormitories in colleges and universities is of vital importance. College student dormitories are important places for students to study, live and rest. They are highly densely populated, and the residents are mainly students, who are relatively concentrated and highly mobile. With the continuous expansion of the scale of colleges and universities and the continuous increase in the number of students, the safety issues of student dormitories have become increasingly prominent, among which the emergency evacuation capability is a key factor affecting the life safety of many students.

[0003] Fire, earthquake, explosion and other emergencies are uncertain and sudden. Once they occur in university student dormitories, they may cause serious casualties and property losses. For example, in a fire accident, the fire spreads quickly and smoke is everywhere. If students cannot evacuate in time and in an orderly manner, they are likely to fall into a dangerous situation. When an earthquake occurs, buildings may shake or collapse. Effective emergency evacuation can give students more chances of survival.

[0004] For example, a Chinese patent with publication number CN110807345A, a building evacuation system and evacuation method. The evacuation method includes capturing image data in at least one area through a sensor to track the movement state of people in the area; detecting an object specified by at least one abnormal pattern set in the tracked movement state of the people, and matching the object with the abnormal pattern; and generating an indication indicating abnormal evacuation behavior based on the matched abnormal pattern. This application can provide efficient evacuation.

[0005] For example, a Chinese patent with publication number CN104899577A, a method for determining the number of people in a building and a method for evacuating a crowd, relates to the field of emergency evacuation. The method for determining the number of people in a building provided in an embodiment of the present invention adopts a magical way of constructing a dynamic Bayesian network, by first dividing the space in the building to determine a plurality of nodes, wherein the nodes can be rooms or passages, and then, based on the connectivity relationship between the nodes, a connected network diagram is established, and then, the dynamic Bayesian model is determined by the number of people and the connected network diagram at different times acquired in advance. When in use (when evacuation is required), the number of people at other designated nodes can be calculated based on the established dynamic Bayesian network model and the number of people at the designated nodes collected.

[0006] However, in the process of implementing the technical solution of the invention in the embodiment of the present application, the present application found that the above technology has at least the following technical problems: at different time points, the mobility of personnel also changes accordingly. When colleges and universities carry out the emergency evacuation capacity assessment of student dormitories, they mostly focus on the consideration of relatively static factors such as building structure and fire protection facilities, while the internal dynamic factor of personnel mobility is usually not fully included in the assessment system, which reduces the accuracy of the emergency evacuation capacity assessment. Summary of the invention

[0007] Technical issues solved

[0008] In view of the shortcomings of the prior art, the present invention provides a method and system for evaluating the emergency evacuation capacity of university student dormitories, which solves the problem that the emergency evacuation capacity evaluation of university student dormitories focuses on relatively static factors such as building structure and fire-fighting facilities, while ignoring dynamic factors such as personnel mobility, thereby achieving the effect of improving the accuracy of the evaluation.

[0009] Technical Solution

[0010] To achieve the above purpose, the present invention is implemented by the following technical solutions: a method for evaluating the emergency evacuation capacity of university student apartments, characterized in that it includes the following steps: step one, collecting historical and real-time emergency capacity training information, escape channel information, barrier information and personnel information of students in the apartment, and normalizing the emergency capacity training information, escape channel information, barrier information and personnel information and storing them in a drill database; step two, obtaining historical emergency capacity training information from the drill database, and comprehensively analyzing the historical emergency capacity training information to obtain evacuation capacity emphasis analysis results, comprehensively analyzing the real-time escape channel information and the real-time barrier information to obtain evacuation capacity analysis results, and comprehensively analyzing the real-time personnel information to obtain personnel distribution analysis results; step three, using an evaluation algorithm to comprehensively analyze the evacuation capacity emphasis analysis results, the evacuation capacity analysis results and the personnel distribution analysis results to obtain emergency evacuation capacity analysis results; step four, comparing the evaluation threshold with the emergency evacuation capacity analysis results to obtain emergency evacuation capacity evaluation results, and feeding back the emergency evacuation capacity evaluation results to the staff.

[0011] Furthermore, the emergency capacity training information includes the number of evacuation drills and the number of emergency capacity training; the escape route information includes the number of escape routes, the width of escape routes, the floor area, the number of corridors and the width of corridors; the obstacle information includes the width occupied by accumulated debris and the width occupied by fire-fighting equipment; the personnel information includes the number of personnel on each floor and the total number of people in the apartment building.

[0012] Furthermore, the specific steps of comprehensively analyzing the historical emergency capability training information to obtain the evacuation capability analysis results are as follows: set a detection time period, obtain all the evacuation drills and emergency capability training times in the detection time period from the drill database, and perform comprehensive calculations to obtain an evacuation preparation assessment value.

[0013] Furthermore, the specific steps of comprehensively analyzing the real-time escape channel information and the real-time obstacle information to obtain the evacuation capacity analysis result are as follows: obtain the escape channel information and the obstacle information from the drill database, perform data analysis on each escape channel information and obstacle information to obtain the escape channel traffic impact assessment value and the corridor traffic impact assessment value, and comprehensively analyze the traffic impact assessment value and the corridor traffic impact assessment value to obtain the evacuation channel traffic value; the escape channel traffic impact assessment value is obtained as follows: In the formula, I t represents the impact assessment value of escape passage, n represents the number of escape passages, and W s,k represents the width of debris accumulation in the kth escape passage, W n,k represents the width occupied by firefighting equipment in the kth escape passage, W t,k Represents the width of the kth escape channel.

[0014] Furthermore, the specific steps of comprehensively analyzing the real-time personnel information to obtain the personnel distribution analysis results are as follows: obtaining the total number of people entering the apartment building and the number of people on each floor, and comprehensively analyzing the number of people on each floor and the total number of people in the apartment building to obtain the student ratio value.

[0015] Furthermore, the specific steps of using the evaluation algorithm to comprehensively analyze the evacuation capacity analysis results, the evacuation capacity analysis results and the personnel distribution analysis results to obtain the emergency evacuation capacity analysis results are as follows: comprehensively analyze the obtained student proportion values ​​through the information entropy method to obtain the uniformity of personnel distribution; and comprehensively analyze the evacuation channel traffic value to obtain the channel traffic rate; standardize the evacuation preparation evaluation value to obtain the evacuation experience value, and comprehensively analyze the uniformity of personnel distribution, the channel traffic rate and the evacuation experience value to obtain the emergency capacity evaluation value.

[0016] Furthermore, the specific steps of comprehensively analyzing the obtained student ratio values ​​by the information entropy method to obtain the uniformity of personnel distribution are as follows: calculating the uniformity value of personnel distribution by the information entropy method, setting the maximum value of personnel distribution, and comprehensively analyzing the maximum value of personnel distribution and the uniformity value of personnel distribution to obtain the uniformity of personnel distribution; the method of obtaining the uniformity of personnel distribution is as follows: In the formula, H represents the uniformity of personnel distribution, F represents the number of floors, and p fIndicates the student ratio value.

[0017] Furthermore, the uniformity of personnel distribution, passage rate and evacuation experience value are evaluated through experiments and expert evaluation, and the personnel distribution weight factor, passage weight factor and evacuation experience weight factor are obtained. The personnel distribution weight factor, passage weight factor, evacuation experience weight factor, uniformity of personnel distribution, passage rate and evacuation experience value are comprehensively calculated to obtain the emergency capacity evaluation value; the emergency capacity evaluation value is obtained as follows: S z =Y1×S1+Y2×S2+Y3×S3; where S z represents the emergency capability assessment value, Y1 represents the personnel distribution weight factor, S1 represents the uniformity of personnel distribution, Y2 represents the channel traffic weight factor, S2 represents the channel traffic rate, Y3 represents the evacuation experience weight factor, and S3 represents the evacuation experience value.

[0018] Furthermore, the emergency evacuation capability analysis results are compared with the evaluation threshold to obtain the emergency evacuation capability comparison results, and the emergency evacuation capability comparison results are fed back to the staff to alert the staff to conduct investigations. The specific steps are as follows: the emergency capability assessment value is compared with the assessment threshold. If the emergency capability assessment value is greater than or equal to the assessment threshold, it means that the assessment is qualified, and an assessment report with assessment record information is generated and sent to the staff. If the emergency capability assessment value is less than the assessment threshold, it means that it is unqualified, and an assessment report with assessment record information with early warning information is generated and sent to the staff to alert the staff to conduct investigations and maintenance.

[0019] The system is a college student dormitory emergency evacuation capability assessment system, comprising a data acquisition module, a data analysis module, an emergency capability assessment module and an assessment result feedback module; the data acquisition module is used to collect historical and real-time emergency capability training information, escape channel information, barrier information and personnel information of students in the dormitory, and normalize the emergency capability training information, escape channel information, barrier information and personnel information and store them in a drill database; the data analysis module is used to obtain historical emergency capability training information from the drill database, and conduct a comprehensive analysis of the historical emergency capability training information to obtain an evacuation capability analysis result. The module comprehensively analyzes the real-time escape route information and the real-time obstacle information to obtain the evacuation capacity analysis result, and comprehensively analyzes the real-time personnel information to obtain the personnel distribution analysis result; the emergency capacity evaluation module adopts the evaluation algorithm to comprehensively analyze the evacuation capacity analysis result, the evacuation capacity analysis result and the personnel distribution analysis result to obtain the emergency evacuation capacity analysis result; the evaluation result feedback module is used to compare the emergency evacuation capacity analysis result with the evaluation threshold to obtain the emergency evacuation capacity comparison result, and feeds back the emergency evacuation capacity comparison result to the staff to alert the staff to conduct investigation.

[0020] Beneficial Effects

[0021] The present invention has the following beneficial effects:

[0022] (1) The method and system for evaluating the emergency evacuation capacity of university student dormitories can comprehensively evaluate the emergency evacuation capacity of university student dormitories by comprehensively analyzing the evacuation experience value, channel traffic rate and the uniformity of personnel distribution, and provide a decision-making basis for the emergency management of universities. In addition, the system can continuously track and analyze as personnel and environment change, avoiding the deviation and uncertainty caused by relying solely on subjective judgment, making the evaluation results clear at a glance, and facilitating a quick understanding of the overall level of the university's emergency evacuation capacity.

[0023] (2) This method and system for evaluating the emergency evacuation capacity of university student dormitories can obtain the ability of the evacuation channel to ensure smooth passage of personnel in an emergency by analyzing the evacuation channel accessibility value. A higher evacuation channel accessibility value means that the evacuation channel is more reasonable in design and layout, with an appropriate channel width, no debris blocking, and the placement of fire-fighting equipment does not affect passage. It can effectively guide students to evacuate quickly, reduce the risks of congestion and trampling during the evacuation process, shorten the evacuation time, and improve the overall evacuation efficiency. In addition, by analyzing the changes in the evacuation channel accessibility value, problems in the channel can be discovered in a timely manner so that targeted rectification and optimization can be carried out.

[0024] (3) This method and system for evaluating the emergency evacuation capabilities of college student dormitories can analyze the school's emphasis and investment in imparting emergency evacuation knowledge and skills by analyzing the number of training sessions and drills held by the school. Each additional training session and drill means that students have more opportunities to learn theoretical knowledge such as escape methods and evacuation route planning during emergency evacuation. Frequent drills can help to form a more tacit collaboration between the various departments of the school, so that students will not panic during emergency evacuation and will clearly know the location of the evacuation passage, making the evacuation more orderly.

[0025] (4) This method and system for evaluating the emergency evacuation capacity of university student dormitories can analyze the student ratio value and use the apartment access control system to obtain the total number of people entering the apartment building. Then, the number of people on each floor can be grasped through the cameras on different floors. The student ratio value obtained by comprehensive analysis can clearly show the distribution of people in the apartment building and the evacuation pressure faced by different floors during emergency evacuation. This allows the school to adjust the emergency evacuation plan in a targeted manner, reasonably arrange evacuation guides, optimize the evacuation route, and improve the overall efficiency and safety of emergency evacuation.

[0026] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of a method for evaluating the emergency evacuation capacity of a university student apartment according to the present invention;

[0028] Figure 2 This is a structural diagram of an emergency evacuation capability assessment system for university student apartments of the present invention;

[0029] Figure 3 It is a schematic diagram of the emergency capability evaluation value in the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] The embodiment of the present invention provides a technical solution: a method for evaluating the emergency evacuation capacity of a university student dormitory, such as Figure 1 As shown, the following steps are included: Step 1, collecting historical and real-time emergency capacity training information, escape channel information, obstacle information and personnel information of students in the apartment, and normalizing the emergency capacity training information, escape channel information, obstacle information and personnel information and storing them in the exercise database; Step 2, obtaining historical emergency capacity training information from the exercise database, and comprehensively analyzing the historical emergency capacity training information to obtain evacuation capacity emphasis analysis results, comprehensively analyzing the real-time escape channel information and the real-time obstacle information to obtain the evacuation capacity analysis results, and comprehensively analyzing the real-time personnel information to obtain the personnel distribution analysis results; Step 3, using the evaluation algorithm to comprehensively analyze the evacuation capacity emphasis analysis results, the evacuation capacity analysis results and the personnel distribution analysis results to obtain the emergency evacuation capacity analysis results; Step 4, comparing the evaluation threshold with the emergency evacuation capacity analysis results to obtain the emergency evacuation capacity evaluation results, and feeding back the emergency evacuation capacity evaluation results to the staff.

[0032] Specifically, emergency capacity training information includes the number of evacuation drills and the number of emergency capacity trainings, and a training exercise record will be generated for each evacuation drill and emergency capacity training, and stored in the drill database; escape route information includes the number of escape routes, the width of escape routes, the floor area, the number of corridors and the width of corridors. The escape route information can be obtained through building documents and can also be obtained through field surveys; obstacle information includes the width occupied by debris accumulation and the width occupied by fire-fighting equipment. The width occupied by debris accumulation is obtained through image recognition cameras, and the width occupied by fire-fighting equipment can be obtained through building documents and actual inspections; personnel information includes the number of people on each floor and the total number of people in the apartment building. The total number of people currently in the apartment building is obtained through the access control system, and cameras are installed on each floor. The number of people on each floor is obtained through the cameras.

[0033] Specifically, the specific steps for comprehensively analyzing the historical emergency capacity training information and obtaining the evacuation capacity analysis results are as follows: set a detection time period, obtain all the evacuation drills and emergency capacity training times in the detection time period from the drill database, and perform comprehensive calculations to obtain the evacuation preparation evaluation value; the steps for obtaining the evacuation preparation evaluation value are as follows: In the formula, F represents the evacuation preparation assessment value, which is the frequency of evacuation drills and emergency capacity training when the number of residents of the current apartment remains unchanged during the detection period. The larger the evacuation preparation assessment value, the more the school attaches importance to the emergency evacuation capacity of the student apartment. l Represents the number of evacuation drills, specifically the number of evacuation drills held by the school during the testing period, N k It represents the number of emergency response trainings, specifically the number of emergency response trainings held by the school during the testing period. D represents the testing period. In this embodiment, the testing period can be one year.

[0034] In this embodiment scheme, by analyzing the number of training sessions and drills in the school, it is possible to analyze the school's emphasis on and investment in imparting emergency evacuation knowledge and skills. Each increase in the number of training sessions and drills means that students have more opportunities to learn theoretical knowledge such as escape methods and evacuation route planning during emergency evacuations. Frequent drills help to form a more tacit collaboration between the various departments of the school, so that students will not panic during emergency evacuations, and will clearly know the location of the evacuation passages, making the evacuation more orderly.

[0035] Specifically, the specific steps of comprehensively analyzing the real-time escape channel information and the real-time obstacle information to obtain the evacuation capacity analysis result are as follows: obtain the escape channel information and the obstacle information from the drill database, perform data analysis on each escape channel information and obstacle information, obtain the escape channel traffic impact assessment value and the corridor traffic impact assessment value, and comprehensively analyze the traffic impact assessment value and the corridor traffic impact assessment value to obtain the evacuation channel traffic value; the escape channel traffic impact assessment value is obtained as follows: In the formula, I t represents the impact assessment value of escape passage, specifically the comprehensive impact value of the space occupied by debris and fire-fighting equipment on the width of all escape passages, n represents the number of escape passages, specifically the number of all evacuation escape passages obtained through the drawings, W s,k represents the width of debris accumulation in the kth escape passage, which can be obtained through the camera, W n,k represents the width occupied by firefighting equipment in the kth escape passage, which can be obtained through the camera, W t,k It represents the width of the kth escape passage, which can be directly obtained through drawings or field measurements. The corridor traffic impact assessment value is obtained as follows: In the formula, Z t represents the corridor traffic impact assessment value, specifically the comprehensive impact of the space occupied by sundries and fire-fighting equipment on the width of all corridors. Some fire-fighting equipment is set in fire-fighting cabinets protruding from the wall, which will occupy the corridor space. z represents the number of corridors, specifically the number of corridors in the student dormitory. W s,i represents the width occupied by debris accumulation in the i-th corridor. Specifically, the width occupied by debris accumulation is obtained through the camera. The occupied width can be used to analyze the remaining width of the corridor. n,i represents the width occupied by the firefighting equipment in the i-th corridor, specifically the width of the corridor occupied by the firefighting equipment installed in the corridor, W i Indicates the width of the corridor, specifically the width of the corridor when there is no occupancy; the evacuation passage clear value is obtained as follows: C t =I t ×Z t Where, C t It indicates the evacuation passage clearness value, which is the assessment result of the traffic capacity of all escape passages and corridors. The larger the evacuation passage clearness value, the smaller the traffic capacity, the more debris obstructions, and the greater the impact of obstruction on traffic. The smaller the evacuation passage clearness value, the fewer debris obstructions, and the smoother the evacuation. t It represents the impact assessment value of escape passage, specifically the assessment result of the passage capacity of all escape passages, Z t It represents the corridor traffic impact assessment value, specifically the traffic capacity assessment result of all corridors.

[0036] In this embodiment, by analyzing the evacuation passage clear value, the ability of the evacuation passage to ensure smooth passage of personnel in an emergency can be obtained. A higher evacuation passage clear value means that the evacuation passage is more reasonable in design and layout, with an appropriate passage width, no debris blocking, and the placement of fire-fighting equipment does not affect passage. It can effectively guide students to evacuate quickly, reduce the risks of congestion and trampling during the evacuation process, shorten the evacuation time, and improve the overall evacuation efficiency. In addition, by analyzing the changes in the evacuation passage clear value, problems in the passage can be discovered in a timely manner so that targeted rectification and optimization can be carried out.

[0037] Specifically, the specific steps for comprehensively analyzing the real-time personnel information and obtaining the personnel distribution analysis results are as follows: the total number of people entering the apartment building is obtained through the apartment access control system, and the number of people on each floor is obtained through the cameras on different floors. The number of people on each floor and the total number of people in the apartment building are comprehensively analyzed to obtain the student ratio value; the student ratio value is obtained as follows: Where P f represents the proportion of students on the fth floor, specifically the proportion of the number of people on each floor to the total number of people in the apartment building. N represents the total number of people in the apartment building, specifically the number of people who enter the apartment building by swiping the door control. N f It indicates the number of people on the fth floor, specifically the total number of people on a certain floor.

[0038] In this embodiment, by analyzing the student ratio value, the total number of people entering the apartment building can be obtained with the help of the apartment access control system, and the number of people on each floor can be grasped through the cameras on different floors. The student ratio value obtained by comprehensive analysis can clearly show the distribution of people in the apartment building, and the evacuation pressure faced by different floors during emergency evacuation can be known, so that the school can adjust the emergency evacuation plan in a targeted manner, reasonably arrange evacuation guidance personnel, optimize the evacuation route, and improve the overall efficiency and safety of emergency evacuation.

[0039] Specifically, the evaluation algorithm is used to comprehensively analyze the evacuation capacity analysis results, the evacuation capacity analysis results and the personnel distribution analysis results, and the specific steps for obtaining the emergency evacuation capacity analysis results are as follows: the obtained student proportion value is comprehensively analyzed by the information entropy method to obtain the uniformity of personnel distribution; and the evacuation channel traffic value is comprehensively analyzed to obtain the channel traffic rate; the evacuation preparation evaluation value is standardized to obtain the evacuation experience value, and the uniformity of personnel distribution, channel traffic rate and evacuation experience value are comprehensively analyzed to obtain the emergency capacity evaluation value; the obtained student proportion value is comprehensively analyzed by the information entropy method, and the specific steps for obtaining the uniformity of personnel distribution are as follows: the uniformity of personnel distribution is calculated by the information entropy method. The information entropy method can quantify the uncertainty of personnel distribution, and considers the proportion of the number of people on each floor to the total number of people. Through the comprehensive calculation of these proportions, the distribution of people in the apartment building is comprehensively presented, and the maximum value of personnel distribution is set. The maximum value of personnel distribution and the uniform value of personnel distribution are comprehensively analyzed to obtain the uniformity of personnel distribution; the uniformity of personnel distribution is obtained as follows: In the formula, H represents the uniformity of personnel distribution, specifically the uniformity of personnel distribution, and the larger H is, the more uniform the distribution of personnel on each floor in the entire building is, F represents the number of floors, specifically the number of all floors included in the calculation, and p f Represents the student ratio, specifically the ratio of the number of people on each floor to the total number of people in the apartment building, p f The smaller it is, the smaller the proportion of people on that floor is, and the more information it carries. f The smaller the number, the more people there are on that floor, and the less information it carries. f ) can be calculated by f It is converted into a measure related to the amount of information and conforms to the inverse proportional relationship with probability; the uniformity of personnel distribution is obtained as follows: In the formula, S1 represents the uniformity of personnel distribution, which is the evaluation result after analyzing the personnel distribution situation, and H max It represents the maximum value of personnel distribution, specifically, the total number of people in the apartment is evenly distributed among all floors, H represents the uniform value of personnel distribution, and adding a negative sign in front can ensure that the calculated uniform value of personnel distribution is non-negative; the specific steps of comprehensively analyzing the traffic capacity of the evacuation channel and obtaining the channel traffic rate are as follows: data analysis is performed on the obtained evacuation channel traffic value to obtain the channel traffic rate; the channel traffic rate is obtained as follows: S2 = 1-C t; In the formula, S2 represents the channel passability, which takes values ​​between 0 and 1, and the higher the channel passability, the stronger the evacuation channel capacity; The specific steps of standardizing the evacuation preparation evaluation value and obtaining the evacuation experience value are as follows: Set the maximum evacuation experience evaluation value, conduct a comprehensive analysis of the maximum evacuation preparation evaluation value and the evacuation preparation evaluation value to obtain the evacuation experience value; The method of obtaining the evacuation experience value is as follows: In the formula, S3 represents the evacuation experience value. The larger the evacuation experience value, the more relevant training and drills the personnel have received, the more familiar they are with the routes and evacuation order, and the more the school pays attention to the evacuation capacity of student dormitories. max is the maximum evacuation experience evaluation value, which is the maximum value set according to historical records. F represents the evacuation preparation evaluation value, which is the frequency of evacuation drills and emergency capacity training when the number of residents of the apartment remains unchanged during the detection period.

[0040] Specifically, the uniformity of personnel distribution, passage rate and evacuation experience value are comprehensively analyzed to obtain the specific steps of emergency capacity evaluation value as follows: the uniformity of personnel distribution, passage rate and evacuation experience value are evaluated through experiments and expert evaluation respectively to obtain the personnel distribution weight factor, passage weight factor and evacuation experience weight factor, and the personnel distribution weight factor, passage weight factor, evacuation experience weight factor, uniformity of personnel distribution, passage rate and evacuation experience value are comprehensively calculated to obtain the emergency capacity evaluation value; the method of obtaining the emergency capacity evaluation value is as follows: S z =Y1×S1+Y2×S2+Y3×S3; where S z It represents the emergency capacity assessment value, which is specifically a comprehensive assessment of the three aspects of personnel distribution, evacuation channel capacity and evacuation experience. The larger the emergency capacity assessment value, the better the emergency evacuation capacity assessment result of the student dormitory of the university. The smaller the emergency capacity assessment value, the worse the emergency evacuation capacity assessment result of the student dormitory of the university. Y1 represents the personnel distribution weight factor, S1 represents the uniformity of personnel distribution, Y2 represents the channel traffic weight factor, S2 represents the channel traffic rate, Y3 represents the evacuation experience weight factor, S3 represents the evacuation experience value, where the sum of Y1, Y2 and Y3 is 1, for example, Y1 is 0.4, Y2 is 0.3 and Y3 is 0.3, and they are all stored in the exercise database.

[0041] like Figure 3As shown, this collection of data from three student dormitories, assuming that the width of the debris accumulation in the escape passage and the width of the corridor in Apartment No. 1 are both 0.1 meters, the width of the debris accumulation in the escape passage and the width of the corridor in Apartment No. 2 are 0.2 meters and 0.15 meters respectively, and the width of the debris accumulation in the escape passage and the width of the corridor in Apartment No. 3 are 0.1 meters and 0 meters respectively. The width of the escape passage and the width of the corridor in all apartments are 1.5 meters and 1.2 meters respectively, and the width occupied by fire-fighting equipment is 20 centimeters;

[0042] Table 1 Emergency response capability assessment values

[0043] Apartment Number Evacuation Experience Channel traffic rate Even distribution of personnel Emergency Capability Assessment Value 1 0.6 0.7 0.5 0.59 2 0.7 0.8 0.6 0.71 3 0.8 0.85 0.7 0.83

[0044] As shown in Table 1, in a specific embodiment, the table shows the data of different student apartments in the emergency evacuation capacity assessment through multiple dimensions. Specifically, it covers the key values ​​of evacuation experience value, passage rate and uniformity of personnel distribution, and the emergency capacity assessment value is obtained by analyzing these values. The evacuation experience value reflects the importance of the apartment in emergency evacuation preparation work, which comprehensively considers the number of evacuation drills and the number of emergency capacity training; the passage rate reflects the ability of the evacuation passage to ensure smooth passage of personnel during the evacuation process; the uniformity of personnel distribution is a quantitative reflection of the distribution of personnel on different floors in the apartment. The emergency capacity assessment value comprehensively considers the evacuation experience value, passage rate and uniformity of personnel distribution, and is calculated based on the corresponding weights. The value directly reflects the pros and cons of each apartment in terms of emergency evacuation capacity, which helps to evaluate the emergency evacuation capacity of different apartments, can promptly discover the problems existing in the student apartment during the emergency evacuation process, and facilitate the school to rectify, thereby ensuring that personnel can be evacuated safely and efficiently in an emergency, and ensuring the safety of students in emergency evacuation.

[0045] In this embodiment, by conducting a comprehensive analysis of the evacuation experience value, channel traffic rate and uniformity of personnel distribution, the emergency evacuation capacity of university student dormitories can be comprehensively evaluated, providing a decision-making basis for the emergency management of universities. In addition, the system can continuously track and analyze as personnel and environment change, avoiding the deviation and uncertainty caused by relying solely on subjective judgment, making the evaluation results clear at a glance, and facilitating a quick understanding of the overall level of emergency evacuation capabilities of universities.

[0046] Specifically, the emergency evacuation capability analysis results are compared with the evaluation threshold to obtain the emergency evacuation capability comparison results, and the emergency evacuation capability comparison results are fed back to the staff. The specific steps to alert the staff to conduct investigations are as follows: the obtained emergency capability assessment value is compared with the assessment threshold. The assessment threshold is set according to historical experience and stored in the exercise database. If the emergency capability assessment value is greater than or equal to the assessment threshold, it means that the assessment is qualified, and an assessment report with assessment record information will be generated and sent to the staff. If the emergency capability assessment value is less than the assessment threshold, it means that it is unqualified, and an assessment report with assessment record information with warning information will be generated and sent to the staff to alert the staff to conduct investigations.

[0047] An emergency evacuation capacity assessment system for university student apartments, such as Figure 2 As shown, it includes a data acquisition module, a data analysis module, an emergency capacity evaluation module and an evaluation result feedback module; the data acquisition module is used to collect historical and real-time emergency capacity training information, escape channel information, barrier information and personnel information of students in the apartment, and normalize the emergency capacity training information, escape channel information, barrier information and personnel information and store them in the exercise database; the data analysis module is used to obtain historical emergency capacity training information from the exercise database, and conduct a comprehensive analysis of the historical emergency capacity training information to obtain the evacuation capacity emphasis analysis result, conduct a comprehensive analysis of the real-time escape channel information and the real-time barrier information to obtain the evacuation capacity analysis result, and conduct a comprehensive analysis of the real-time personnel information to obtain the personnel distribution analysis result; the emergency capacity evaluation module is used to use the evaluation algorithm to conduct a comprehensive analysis of the evacuation capacity emphasis analysis result, the evacuation capacity analysis result and the personnel distribution analysis result to obtain the emergency evacuation capacity analysis result; the evaluation result feedback module is used to compare the emergency evacuation capacity analysis result with the evaluation threshold to obtain the emergency evacuation capacity comparison result, and feedback the emergency evacuation capacity comparison result to the staff to warn the staff to conduct investigation.

[0048] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0049] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for evaluating the emergency evacuation capacity of university student apartments, characterized in that: The following steps are involved: Step 1: Collect historical and real-time emergency capability training information, escape route information, obstacle information, and personnel information of students in the apartment, and normalize the emergency capability training information, escape route information, obstacle information, and personnel information and store them in the drill database; Step 2: Obtain historical emergency response capability training information from the drill database, and conduct a comprehensive analysis on the historical emergency response capability training information to obtain evacuation capability analysis results, conduct a comprehensive analysis on real-time escape route information and real-time obstacle information to obtain evacuation capability analysis results, and conduct a comprehensive analysis on real-time personnel information to obtain personnel distribution analysis results; Step 3: Use the evaluation algorithm to comprehensively analyze the evacuation capacity analysis results, evacuation capacity analysis results, and personnel distribution analysis results to obtain the emergency evacuation capacity analysis results; Step 4: Compare the emergency evacuation capacity analysis results with the assessment threshold to obtain the emergency evacuation capacity comparison results, and feed back the emergency evacuation capacity comparison results to the staff to alert the staff to conduct investigations.

2. A method for evaluating the emergency evacuation capacity of university student apartments according to claim 1, characterized in that: The emergency response capability training information includes the number of evacuation drills and the number of emergency response capability training; The escape route information includes the number of escape routes, the width of escape routes, the floor area, the number of corridors, and the width of corridors; The obstruction information includes the width occupied by the accumulation of debris and the width occupied by the firefighting equipment; Personnel information includes the number of people on each floor and the total number of people in the apartment building.

3. A method for evaluating the emergency evacuation capacity of university student apartments according to claim 2, characterized in that: The specific steps of comprehensively analyzing the historical emergency response capability training information and obtaining the evacuation capability analysis results are as follows: A detection time period is set, and all the evacuation drills and emergency capacity training times in the detection time period are obtained from the drill database, and a comprehensive calculation is performed to obtain the evacuation preparation assessment value.

4. The method for evaluating the emergency evacuation capacity of university student apartments according to claim 3 is characterized by: The specific steps of comprehensively analyzing the real-time escape route information and the real-time obstacle information to obtain the evacuation capacity analysis result are as follows: Obtain escape route information and barrier information from the drill database, perform data analysis on each escape route information and barrier information, obtain escape route traffic impact assessment value and corridor traffic impact assessment value, and conduct comprehensive analysis on the traffic impact assessment value and the corridor traffic impact assessment value to obtain the evacuation route traffic value; The method for obtaining the escape passage traffic impact assessment value is as follows: In the formula, I t represents the impact assessment value of escape passage, n represents the number of escape passages, and W s,k represents the width of debris accumulation in the kth escape passage, W n,k represents the width occupied by firefighting equipment in the kth escape passage, W t,k Represents the width of the kth escape channel.

5. A method for evaluating the emergency evacuation capacity of university student apartments according to claim 4, characterized in that: The specific steps of comprehensively analyzing the real-time personnel information to obtain the personnel distribution analysis results are as follows: Obtain the total number of people entering the apartment building and the number of people on each floor, conduct a comprehensive analysis of the number of people on each floor and the total number of people in the apartment building, and obtain the student ratio value.

6. A method for evaluating the emergency evacuation capacity of university student apartments according to claim 5, characterized in that: The specific steps of using the evaluation algorithm to comprehensively analyze the evacuation capacity analysis results, the evacuation capacity analysis results, and the personnel distribution analysis results to obtain the emergency evacuation capacity analysis results are as follows: The obtained student ratio values ​​are comprehensively analyzed through the information entropy method to obtain the uniformity of personnel distribution; and the evacuation channel traffic value is comprehensively analyzed to obtain the channel traffic rate; the evacuation preparation assessment value is standardized to obtain the evacuation experience value, and the uniformity of personnel distribution, channel traffic rate and evacuation experience value are comprehensively analyzed to obtain the emergency capacity assessment value.

7. A method for evaluating the emergency evacuation capacity of university student apartments according to claim 6, characterized in that: The specific steps of comprehensively analyzing the obtained student ratio values ​​through the information entropy method to obtain the uniformity of personnel distribution are as follows: The uniformity of personnel distribution is calculated by information entropy method, and the maximum value of personnel distribution is set. The maximum value of personnel distribution and the uniformity of personnel distribution are comprehensively analyzed to obtain the uniformity of personnel distribution. The uniformity of personnel distribution is obtained as follows: In the formula, H represents the uniformity of personnel distribution, F represents the number of floors, and p f Indicates the student ratio value.

8. The method for evaluating the emergency evacuation capacity of university student apartments according to claim 7 is characterized by: Through experiments and expert evaluation, the uniformity of personnel distribution, channel traffic rate and evacuation experience value are evaluated respectively, and the personnel distribution weight factor, channel traffic weight factor and evacuation experience weight factor are obtained. The personnel distribution weight factor, channel traffic weight factor, evacuation experience weight factor, uniformity of personnel distribution, channel traffic rate and evacuation experience value are comprehensively calculated to obtain the emergency capacity evaluation value; The emergency response capability assessment value is obtained as follows: S z =Y1×S1+Y2×S2+Y3×S3; In the formula, S z represents the emergency capability assessment value, Y1 represents the personnel distribution weight factor, S1 represents the uniformity of personnel distribution, Y2 represents the channel traffic weight factor, S2 represents the channel traffic rate, Y3 represents the evacuation experience weight factor, and S3 represents the evacuation experience value.

9. The method for evaluating the emergency evacuation capacity of university student apartments according to claim 8, characterized in that: The specific steps of comparing the emergency evacuation capacity analysis results with the assessment threshold to obtain the emergency evacuation capacity comparison results and feeding back the emergency evacuation capacity comparison results to the staff are as follows: The obtained emergency capability assessment value is compared with the assessment threshold. If the emergency capability assessment value is greater than or equal to the assessment threshold, it means that the assessment is qualified, and an assessment report with assessment record information is generated and sent to the staff. If the emergency capability assessment value is less than the assessment threshold, it means that it is unqualified, and an assessment report with assessment record information with warning information is generated and sent to the staff.

10. A system for evaluating the emergency evacuation capability of a university student dormitory, used to implement the method for evaluating the emergency evacuation capability of a university student dormitory according to any one of claims 1 to 9, characterized in that: It includes data collection module, data analysis module, emergency capability assessment module and assessment result feedback module; The data collection module is used to collect historical and real-time emergency training information, escape route information, obstacle information and personnel information of students in the apartment, and normalize the emergency training information, escape route information, obstacle information and personnel information and store them in the drill database; The data analysis module is used to obtain historical emergency capability training information from the drill database, and conduct a comprehensive analysis on the historical emergency capability training information to obtain evacuation capability analysis results, conduct a comprehensive analysis on real-time escape route information and real-time obstacle information to obtain evacuation capability analysis results, and conduct a comprehensive analysis on real-time personnel information to obtain personnel distribution analysis results; The emergency capacity evaluation module is used to use the evaluation algorithm to comprehensively analyze the evacuation capacity analysis results, evacuation capacity analysis results and personnel distribution analysis results to obtain the emergency evacuation capacity analysis results; The evaluation result feedback module is used to compare the emergency evacuation capacity analysis results with the evaluation threshold to obtain the emergency evacuation capacity comparison results, and feed back the emergency evacuation capacity comparison results to the staff to alert the staff to conduct investigations.

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