CN117789398B - Campus emergency guiding management system - Google Patents
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- CN117789398B CN117789398B CN202311856811.7A CN202311856811A CN117789398B CN 117789398 B CN117789398 B CN 117789398B CN 202311856811 A CN202311856811 A CN 202311856811A CN 117789398 B CN117789398 B CN 117789398B
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- 238000012544 monitoring process Methods 0.000 claims abstract description 64
- 238000000034 method Methods 0.000 claims abstract description 36
- 238000011156 evaluation Methods 0.000 claims abstract description 5
- 230000002159 abnormal effect Effects 0.000 claims description 17
- 238000012502 risk assessment Methods 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000009825 accumulation Methods 0.000 claims description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000000739 chaotic effect Effects 0.000 description 2
- 238000009792 diffusion process Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000002645 vision therapy Methods 0.000 description 1
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Abstract
The invention relates to the technical field of emergency management, and particularly discloses a campus emergency guiding management system, which comprises the following components: the personnel monitoring module comprises a first monitoring component and a second monitoring component, wherein the first monitoring component is used for acquiring the number of real-time personnel in each area of the teaching building in real time and acquiring the image information of the monitoring area; the fire risk monitoring module comprises a plurality of groups of sensor groups arranged at preset position points of the teaching building and is used for acquiring fire risk data of the teaching building; the emergency guiding module is used for evaluating fire risks of different areas according to the fire risk data and the monitoring area image information, and determining an evacuation emergency guiding strategy according to an evaluation result; the guiding module is used for transmitting the evacuation emergency guiding strategy determined by the emergency guiding module; the evacuation state monitoring system comprises a second monitoring component, wherein the second monitoring component is used for monitoring personnel states in the process of executing the evacuation emergency guiding strategy and dynamically adjusting the evacuation emergency guiding strategy according to the monitored personnel states.
Description
Technical Field
The invention relates to the technical field of emergency management, in particular to a campus emergency guiding management system.
Background
Campus safety is always a focus of attention as a crowded public place, wherein early prevention, discovery and treatment are required for fire safety risks existing in the campus, and people are required to be orderly separated due to more people, so that the safety of the people is guaranteed.
The existing campus fire early warning process mainly realizes the judgment of fire through the set fire sensor, and gives an alarm in time when judging the occurrence of fire risks, and the management personnel carry out evacuation management on personnel.
In the existing campus fire risk emergency management process, although the fire sensor can judge the fire risk, the fire risk state is misjudged, the existing fire risk state cannot be specifically judged, meanwhile, in the crowd emergency evacuation process, the evacuation sequence can be influenced due to inconsistent management personnel information coordination, timely evacuation of regional crowds with larger safety risks cannot be guaranteed, and under the condition that the number of passers-by in a safety channel is large, the risk of occurrence of secondary casualties such as personnel falling down and trampling exists.
Disclosure of Invention
The invention aims to provide a campus emergency guide management system, which solves the following technical problems:
and judging the campus fire risk more easily and determining the optimal crowd evacuation strategy.
The aim of the invention can be achieved by the following technical scheme:
A campus emergency guidance management system, the system comprising:
the personnel monitoring module comprises a first monitoring component and a second monitoring component, wherein the first monitoring component is used for acquiring the number of real-time personnel in each area of the teaching building in real time and acquiring the image information of the monitoring area;
the fire risk monitoring module comprises a plurality of groups of sensor groups arranged at preset position points of the teaching building and is used for acquiring fire risk data of the teaching building;
the emergency guiding module is used for evaluating fire risks of different areas according to the fire risk data and the monitoring area image information, and determining an evacuation emergency guiding strategy according to an evaluation result;
the guiding module is used for transmitting the evacuation emergency guiding strategy determined by the emergency guiding module;
The evacuation state monitoring system comprises a second monitoring component, wherein the second monitoring component is used for monitoring personnel states in the process of executing the evacuation emergency guiding strategy and dynamically adjusting the evacuation emergency guiding strategy according to the monitored personnel states.
Further, the fire risk data comprises infrared image data and a plurality of groups of harmful gas data;
the process of evaluating fire risks in different areas comprises the following steps:
identifying the image information of the monitoring area based on an AI (advanced identification) technology, judging whether an open fire area exists, and acquiring the range of the open fire area when the open fire area exists;
And identifying the temperature abnormal region based on the infrared image data, carrying out risk analysis on the fire risk state of the region according to the open flame region range, the temperature abnormal region and the harmful gas concentration data, and judging the fire risks of different regions according to the result of the risk analysis.
Further, the risk analysis process includes:
judging whether the range of the open flame area coincides with the abnormal temperature area or not:
if no coincidence exists, judging that the open fire area range is wrongly identified;
If the overlapping exists, judging that open fire exists;
By the formula:
Ri(t)＝wi(t)*(SFi(t)*σ1+SYi(t)*σ2)*Vi(t)
Calculating to obtain a risk value R i (t) of an ith area at the current time point, and taking R i (t) as a judging result of the fire risk of the ith area;
Wherein w i (t) is a judgment coefficient, when it is judged that open fire occurs, w i (t) =a, otherwise, w i (t) =b, and a > B is satisfied; s Fi (t) is the real-time area of the open flame area of the ith area, S Ti (t) is the real-time status value of the temperature anomaly area of the ith area, sigma 1、σ2 is the weight coefficient, V i (t) is the real-time status value of the anomaly gas of the ith area, m is the gradient of the temperature anomaly area divided according to the preset temperature, S Tij (t) is the real-time area value of the jth gradient of the ith area, alpha j is the weight coefficient of the jth gradient, n is the real-time concentration of the monitored harmful gas concentration term, k epsilon [1, n ], C ik (t) is the reference value of the kth harmful gas, and f k is the piecewise function of the kth harmful gas.
Further, the evacuation emergency guidance policy determination process includes:
By the formula:
Calculating and obtaining a risk accumulation average value G i (t) of an ith area at the current time point;
When any one of R i (t) not less than R1 and G i (t) not less than G1 is satisfied, judging that the ith area has fire risk and executing an evacuation emergency guiding strategy;
wherein Δt is a preset time interval, R1 is a first threshold, G1 is a second threshold, and R1 > G1 is satisfied;
and determining an evacuation emergency guiding strategy according to the number of real-time personnel in each area in the areas with fire risks.
Further, the evacuation emergency guidance policy determining process further includes:
Acquiring the number of people to be evacuated in all the areas with fire risks, and judging whether the current fire-fighting channel meets the number of people to be evacuated:
If the fire disaster risk area is met, evacuating people in the fire disaster risk area at the same time, and evacuating people in the adjacent areas of the fire disaster risk area in sequence from the near to the far of the fire disaster risk area;
if the fire disaster risk area is not met, people in the fire disaster risk area are evacuated sequentially from the big to the small according to the R i (t), and people in the adjacent area of the fire disaster risk area are evacuated sequentially from the near to the far according to the fire disaster risk area.
Further, the process of monitoring the personnel status by the second monitoring component comprises the following steps:
Acquiring real-time image information of an emergency channel through a second monitoring component, identifying personnel in the real-time image information, and acquiring personnel posture and personnel travelling speed;
The process of dynamically adjusting the evacuation emergency guidance strategy according to the monitored personnel status comprises:
judging whether one or two conditions of personnel falling and personnel traveling speed exceeding a traveling speed preset threshold exist according to the personnel posture:
If the judgment is made, sending out an alarm for reducing the travelling speed;
Otherwise, determining the optimal traveling speed according to the personnel posture and the risk value change state of all fire risk areas, and reminding the personnel according to the difference value between the current personnel traveling speed and the optimal traveling speed.
Further, the process of determining the optimal travel speed includes:
By the formula:
Calculating to obtain an optimal travelling speed v R (t);
Wherein f e (x) is a judgment function, and when x > 1, f e (x) =1; when x is less than or equal to 1, f e (x) =x; For the average value of risk values of all temperature abnormal areas at the current time point, t1 is a preset time period, K th is a risk value reference change coefficient, d R (t) is a uniform coefficient of the advancing state at the current time point, d T is a corresponding reference value of d R (t), and mu 1、μ2 is a preset adjustment coefficient; v m is a preset threshold value of the travelling speed, Z is the number of time periods divided from t-t1 to t time periods, and y is E [1, Z ]; v y is the overall travel speed average in the y-th period,/> And (3) taking the average value of the overall travelling speed in all the time periods as the average value, wherein Q (t) is the number of the rest people in the current abnormal temperature area, and t2 is the reference evacuation time.
Further, the process of reminding the person according to the difference between the current person traveling speed and the optimal traveling speed comprises the following steps:
when the speed v (t) is less than v R (t) in real time, reminding a person to increase the travelling speed. The invention has the beneficial effects that:
(1) According to the invention, the personnel safety risk states of all areas can be judged according to the infrared image data, the harmful gas data and the real-time personnel quantity monitored by all areas, so that the optimal evacuation strategy is determined, and the personnel can be evacuated more orderly while the accuracy of judging the fire risk states is ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a logical block diagram of a campus emergency guidance management system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in one embodiment, a campus emergency guidance management system is provided, the system includes a personnel monitoring module, a fire risk monitoring module, an emergency guidance module, a guiding module and an evacuation state monitoring system, wherein the personnel monitoring module includes a first monitoring component for collecting the number of real-time personnel in each area of a teaching building in real time and obtaining the image information of the monitoring area, wherein the process of collecting the number of real-time personnel is achieved by the image information of the monitoring area, a specific face recognition technology is realized based on the prior art, and not described in detail herein, the fire risk monitoring module includes a plurality of groups of sensor groups arranged at preset position points of the teaching building for obtaining fire risk data of the teaching building, the fire risk data includes infrared image data and a plurality of groups of harmful gas data, the monitored harmful gas data includes smoke concentration, carbon dioxide concentration, the emergency guidance module is used for evaluating the fire risk of different areas according to the fire risk data and the monitored area image information, the evacuation emergency guidance policy is determined according to the evaluation result, the emergency guidance module can be used for transmitting the security policy in the best guiding mode in the case of the evacuation system by the emergency guidance module according to the infrared image data, the harmful gas data and the number of the personnel monitored in each area, and the evacuation policy can be more accurately transmitted in the emergency guidance policy is ensured by the case when the emergency guidance module is used for determining the security state is better in the emergency guidance module is used for the guiding the evacuation guidance system, the evacuation state monitoring system includes a second monitoring component, and it should be noted that the second monitoring component is different from the first monitoring component in the set positions, the second monitoring component is set at each position point of the emergency channel, the first monitoring component is set in a main area of the teaching building, such as a classroom, an office, etc., and the evacuation state monitoring system is used for monitoring personnel states during the execution of the evacuation emergency guiding strategy, dynamically adjusting the evacuation emergency guiding strategy according to the monitored personnel states, and improving the evacuation speed on the premise of ensuring safety by performing corresponding adjustment according to the evacuation state.
The process for evaluating the fire risks in different areas comprises the following steps: the monitoring area image information is identified based on the AI identification technology, whether an open fire area exists or not is judged, and the open fire area range is acquired when the open fire area exists, wherein the AI identification technology can be obtained through machine vision training, meanwhile, the temperature anomaly area is identified based on the infrared image data, the fire risk state of the area is subjected to risk analysis according to the open fire area range, the temperature anomaly area and the harmful gas concentration data, the fire risks of different areas are judged according to the result of the risk analysis, and compared with the mode of judging by a smoke sensor or a temperature sensor alone, the evaluation mode in the embodiment is more comprehensive, namely, the judgment accuracy is ensured, and the risk analysis process comprises the following steps: judging whether the range of the open flame area coincides with the abnormal temperature area or not: if no coincidence exists, judging that the open fire area range is wrongly identified; if the overlapping exists, judging that open fire exists; meanwhile, the formula is as follows:
Ri(t)＝wi(y)*(SFi(y)*σ1+STi(t)*σ2)*Vi(t)
Calculating to obtain a risk value R i (t) of the ith area at the current time point, wherein w i (t) is a judgment coefficient, when the open fire is judged to occur, w i (t) =A, otherwise, w i (t) =B, And satisfies A > B, by this way, the weight of the risk value of the open fire area is adjusted, S Fi (t) is the real-time area of the open fire area range of the ith area, S Ti (t) is the real-time state value of the temperature anomaly area of the ith area, sigma 1、σ2 is the weight coefficient, Which is set according to the experience data, V i (t) is the real-time state value of the abnormal gas in the ith area, m is the gradient of the temperature abnormal area divided according to the preset temperature, S Tij (t) is the real-time area value of the jth gradient range of the ith area, alpha j is the weight coefficient of the jth gradient, and alpha j is increased along with the increase of the temperature range corresponding to the gradient, n is the number of items of monitoring the concentration of harmful gas, k epsilon [1, n ], C ik (t) is the real-time concentration of the kth harmful gas in the ith area, ct k is the reference standard value of the kth harmful gas, which is set according to a risk critical value corresponding to each harmful gas in the empirical data, f k is a piecewise function of the kth harmful gas, which is set according to a difference state between a range interval in which a concentration difference value of each harmful gas is located and the empirical data, so that fire risk can be judged from a state of ambient gas through an obtained abnormal gas real-time state value, a diffusion state in which a safety risk exists at a current moment can be judged through a temperature abnormal region real-time state value of each region, and then, through the calculation process of the risk value, the fire risk state of the returning area is judged by integrating all factors, and R i (t) is taken as the judgment result of the fire risk of the ith area.
As an embodiment of the present invention, the process of determining an evacuation emergency guidance strategy includes: by the formula:
Calculating and obtaining a risk accumulation average value G i (t) of an ith area at the current time point;
when any one of R i (t) not less than R1 and G i (t) not less than G1 is satisfied, judging that the ith area has fire risk and executing an evacuation emergency guiding strategy; wherein Δt is a preset time interval, R1 is a first threshold, G1 is a second threshold, and R1 > G1 is satisfied; through the judging mode, on one hand, the system can timely react when obvious risks appear, on the other hand, when the potential risks exist for a certain period of time, the system can also timely react, and then the evacuation emergency guiding strategy is determined according to the areas with fire risks and the real-time personnel numbers of the areas, so that the judging accuracy is ensured.
The process of determining the evacuation emergency guiding strategy also comprises the following steps: acquiring the number of people to be evacuated in all the areas with fire risks, and judging whether the current fire-fighting channel meets the number of people to be evacuated: if the fire disaster risk area is met, evacuating people in the fire disaster risk area at the same time, and evacuating people in the adjacent areas of the fire disaster risk area in sequence from the near to the far of the fire disaster risk area; if not, people in the fire hazard risk area are evacuated sequentially from big to small according to the sequence of R i (t), people in the adjacent area of the fire hazard risk area are evacuated sequentially from near to far according to the sequence of the fire hazard risk area, people in the area with large fire hazard risk can be evacuated as soon as possible through the process, meanwhile, the order of the evacuation process is guaranteed, and it is required to explain that in the scheme, people in the adjacent area of the fire hazard risk area are evacuated sequentially from near to far according to the sequence of the fire hazard risk area, after people in the fire hazard risk area are completely evacuated, people in the adjacent area corresponding to the maximum value of the distance R i (t) are evacuated, and therefore the people in the area with large fire hazard risk can be evacuated preferentially.
As one embodiment of the present invention, the process of monitoring the status of personnel by the second monitoring component includes: acquiring real-time image information of an emergency channel through a second monitoring component, identifying personnel in the real-time image information, and acquiring personnel posture and personnel travelling speed; the process of dynamically adjusting the evacuation emergency guidance strategy according to the monitored personnel status comprises: judging whether one or two conditions of personnel falling and personnel traveling speed exceeding a traveling speed preset threshold exist according to the personnel posture: if the evacuation process is judged to exist, the existence of the evacuation process indicates that the safety risk is large, so that a warning for reducing the travelling speed is sent out, and the safety of the evacuation process is improved; otherwise, determining an optimal travelling speed according to the personnel posture and the risk value change state of all fire risk areas, and reminding the personnel according to the difference value between the current personnel travelling speed and the optimal travelling speed, wherein the process for determining the optimal travelling speed comprises the following steps: by the formula:
Calculating to obtain an optimal travelling speed v R (t); wherein f e (x) is a judgment function, and when x > 1, f e (x) =1; when x is less than or equal to 1, f e (x) =x; For the average value of risk values of all temperature abnormal areas at the current time point, t1 is a preset period, which is selectively set according to empirical data, K th is a risk value reference change coefficient, d R (t) is a uniform coefficient for the advancing state of the current time point, d T is a d R (t) corresponding reference value, K th、dT is set according to data fitting in a critical state in analog data, mu 1、μ2 is a preset adjustment coefficient, which is set according to the influence degree, v m is a advancing speed preset threshold, which is set according to empirical data, Z is the number of periods divided from t-t1 to t periods, y epsilon [1, Z ]; v y is the overall travel speed average in the y-th period,/> For the whole travel speed average value of all time periods, Q (t) is the number of the rest people in the current temperature abnormal area, t2 is the reference evacuation time, therefore, the travel state of the current emergency channel personnel can be judged through the obtained current time point travel state uniformity coefficient, the smaller d R (t) value is, the more uniform evacuation speed is indicated, namely, the more stable evacuation state is achieved, the larger d R (t) value is, the more chaotic evacuation speed is indicated, namely, the more chaotic evacuation state is indicated, the balance selection is carried out through the diffusion speed of the evacuation state and the risk value, the factors such as the rest people and the evacuation speed are combined, the optimal travel speed is determined, and when the speed v (t) < v R (t) is carried out in real time, the personnel are reminded to improve the travel speed, so that the evacuation speed of the crowd is improved adaptively on the basis that the evacuation speed does not exceed the maximum value.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (4)
1. A campus emergency guidance management system, the system comprising:
the personnel monitoring module comprises a first monitoring component and a second monitoring component, wherein the first monitoring component is used for acquiring the number of real-time personnel in each area of the teaching building in real time and acquiring the image information of the monitoring area;
the fire risk monitoring module comprises a plurality of groups of sensor groups arranged at preset position points of the teaching building and is used for acquiring fire risk data of the teaching building;
the emergency guiding module is used for evaluating fire risks of different areas according to the fire risk data and the monitoring area image information, and determining an evacuation emergency guiding strategy according to an evaluation result;
the guiding module is used for transmitting the evacuation emergency guiding strategy determined by the emergency guiding module;
The evacuation state monitoring system comprises a second monitoring component, a first monitoring component and a second monitoring component, wherein the second monitoring component is used for monitoring personnel states in the process of executing the evacuation emergency guiding strategy and dynamically adjusting the evacuation emergency guiding strategy according to the monitored personnel states;
the risk analysis process comprises the following steps:
judging whether the range of the open flame area coincides with the abnormal temperature area or not:
if no coincidence exists, judging that the open fire area range is wrongly identified;
If the overlapping exists, judging that open fire exists;
By the formula:
Ri(t)＝wi(t)*(SFi(t)*σ1+STi(t)*σ2)*Vi(t)
Calculating to obtain a risk value R i (t) of an ith area at the current time point, and taking R i (t) as a judging result of the fire risk of the ith area;
Wherein w i (t) is a judgment coefficient, when it is judged that open fire occurs, w i (t) =a, otherwise, w i (t) =b, and a > B is satisfied; s Fi (t) is the real-time area of the open flame area of the ith area, S Ti (t) is the real-time state value of the temperature anomaly area of the ith area, sigma 1、σ2 is the weight coefficient, V i (t) is the real-time state value of the anomaly gas of the ith area, m is the gradient of the temperature anomaly area divided according to the preset temperature, S Tij (t) is the real-time area value of the jth gradient of the ith area, alpha j is the weight coefficient of the jth gradient, n is the real-time concentration of the monitored harmful gas concentration term, k epsilon [1, n ], C ik (t) is the reference value of the kth harmful gas, and f k is the piecewise function of the kth harmful gas;
the process of the second monitoring component for monitoring the personnel state comprises the following steps:
Acquiring real-time image information of an emergency channel through a second monitoring component, identifying personnel in the real-time image information, and acquiring personnel posture and personnel travelling speed;
The process of dynamically adjusting the evacuation emergency guidance strategy according to the monitored personnel status comprises:
judging whether one or two conditions of personnel falling and personnel traveling speed exceeding a traveling speed preset threshold exist according to the personnel posture:
If the judgment is made, sending out an alarm for reducing the travelling speed;
Otherwise, determining the optimal travelling speed according to the personnel posture and the risk value change state of all fire risk areas, and reminding the personnel according to the difference value between the current personnel travelling speed and the optimal travelling speed;
the process of determining the optimal travel speed includes:
By the formula:
Calculating to obtain an optimal travelling speed v R (t);
Wherein f e (x) is a judgment function, and when x > 1, f e (x) =1; when x is less than or equal to 1, f e (x) =x; For the average value of risk values of all temperature abnormal areas at the current time point, t1 is a preset time period, K th is a risk value reference change coefficient, d R (t) is a uniform coefficient of the advancing state at the current time point, d T is a corresponding reference value of d R (t), and mu 1、μ2 is a preset adjustment coefficient; v m is a preset threshold value of the travelling speed, Z is the number of time periods divided from t-t1 to t time periods, and y is E [1, Z ]; v y is the overall travel speed average in the y-th period,/> Q (t) is the average value of the overall travelling speed in all time periods, the number of the residual people in the current temperature abnormal area, and t2 is the reference evacuation time;
The process of reminding the person according to the difference between the current person travelling speed and the optimal travelling speed comprises the following steps:
when the speed v (t) is less than v R (t) in real time, reminding a person to increase the travelling speed.
2. The campus emergency guidance management system of claim 1, wherein the fire risk data includes infrared image data and sets of harmful gas data;
the process of evaluating fire risks in different areas comprises the following steps:
identifying the image information of the monitoring area based on an AI (advanced identification) technology, judging whether an open fire area exists, and acquiring the range of the open fire area when the open fire area exists;
And identifying the temperature abnormal region based on the infrared image data, carrying out risk analysis on the fire risk state of the region according to the open flame region range, the temperature abnormal region and the harmful gas concentration data, and judging the fire risks of different regions according to the result of the risk analysis.
3. A campus emergency guidance management system according to claim 2, wherein the evacuation emergency guidance policy determination process includes:
By the formula:
Calculating and obtaining a risk accumulation average value G i (t) of an ith area at the current time point;
When any one of R i (t) not less than R1 and G i (t) not less than G1 is satisfied, judging that the ith area has fire risk and executing an evacuation emergency guiding strategy;
wherein Δt is a preset time interval, R1 is a first threshold, G1 is a second threshold, and R1 > G1 is satisfied;
and determining an evacuation emergency guiding strategy according to the number of real-time personnel in each area in the areas with fire risks.
4. A campus emergency guidance management system according to claim 3, wherein the process of evacuation emergency guidance policy determination further comprises:
Acquiring the number of people to be evacuated in all the areas with fire risks, and judging whether the current fire-fighting channel meets the number of people to be evacuated:
If the fire disaster risk area is met, evacuating people in the fire disaster risk area at the same time, and evacuating people in the adjacent areas of the fire disaster risk area in sequence from the near to the far of the fire disaster risk area;
if the fire disaster risk area is not met, people in the fire disaster risk area are evacuated sequentially from the big to the small according to the R i (t), and people in the adjacent area of the fire disaster risk area are evacuated sequentially from the near to the far according to the fire disaster risk area.
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| KR20160118515A (en) * | 2015-04-02 | 2016-10-12 | (주)이공감 | Fire monitoring system and the operating method |
| CN110689686A (en) * | 2019-07-31 | 2020-01-14 | 深圳市城市公共安全技术研究院有限公司 | Emergency evacuation system and emergency evacuation method |
| CN112991125B (en) * | 2021-02-03 | 2022-09-30 | 桂林理工大学 | Quick emergency system of wisdom scenic spot conflagration |
| CN115035674B (en) * | 2022-05-17 | 2024-04-12 | 中建八局南方建设有限公司 | Intelligent monitoring and early warning management system for intelligent building fire control |
| CN117114222A (en) * | 2023-08-29 | 2023-11-24 | 浙江中控信息产业股份有限公司 | Intelligent emergency evacuation line optimization method and system based on real-time data of Internet of things |
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