CN109410489B - Intelligent evacuation system for emergency personnel of large-scale complex - Google Patents
Intelligent evacuation system for emergency personnel of large-scale complex Download PDFInfo
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- CN109410489B CN109410489B CN201811228847.XA CN201811228847A CN109410489B CN 109410489 B CN109410489 B CN 109410489B CN 201811228847 A CN201811228847 A CN 201811228847A CN 109410489 B CN109410489 B CN 109410489B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
- G08B7/066—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources guiding along a path, e.g. evacuation path lighting strip
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The invention discloses an intelligent evacuation system for emergency personnel of a large-scale complex, which comprises: the system comprises an infrared counting acquisition device, a video image acquisition device, a mobile phone signal acquisition device based on a 3G/4G network, an alarm signal acquisition module, a first communication module, a first information processing module, a personnel time distribution model determination module, a self-learning module, an intelligent analysis module, a second communication module, a second information processing module and an evacuation indicating device; when the alarm signal is not acquired, determining a normal evacuation scheme according to a personnel time distribution model and a preset emergency evacuation model; when the alarm signal is acquired, an emergency evacuation scheme is determined according to the personnel time distribution model and the optimized emergency evacuation model, wherein the optimized emergency evacuation model is obtained by optimizing a preset emergency evacuation model according to real-time monitoring information. The invention enables crowds to select a faster and more convenient evacuation channel, and improves the evacuation speed of the people.
Description
Technical Field
The invention relates to the field of intelligent evacuation, in particular to an intelligent evacuation system for emergency personnel for a large-scale complex.
Background
At present, the existing evacuation systems in dense places such as large-scale complex bodies are solidified according to the design of building structures, and when the mobility of people is large, the density distribution is uneven or disasters occur, the traditional evacuation systems cannot intelligently evacuate people quickly.
Disclosure of Invention
The invention aims to provide an intelligent evacuation system for emergency personnel in a large-scale comprehensive building, which can intelligently and quickly evacuate personnel in the large-scale comprehensive building.
In order to achieve the purpose, the invention provides the following scheme:
an intelligent evacuation system for emergency personnel for a large complex, the system comprising:
the system comprises an infrared counting acquisition device, a video image acquisition device, a mobile phone signal acquisition device based on a 3G/4G network, an alarm signal acquisition module, a first communication module, a first information processing module, a personnel time distribution model determination module, a self-learning module, an intelligent analysis module, a second communication module, a second information processing module and an evacuation indicating device;
the infrared counting and collecting device is used for collecting the number of the people passing through each entrance and exit;
the video image acquisition device is used for acquiring personnel video data of each entrance;
the mobile phone signal acquisition device based on the 3G/4G network is used for acquiring mobile phone signals of personnel in a building;
the alarm signal acquisition module is used for acquiring an alarm signal through the monitoring alarm system;
the first communication module is used for receiving the number of the people passing through each entrance and exit, the video data of the people at each entrance and exit, and mobile phone signals and alarm signals of the people in the building and sending the signals to the first information processing module;
the first information processing module is used for processing the received personnel access quantity passing through each access, personnel video data of each access, and personnel mobile phone signals and alarm signals in the building and sending the personnel video data to the personnel time distribution determining module and the intelligent analysis module;
the personnel time distribution model determining module is used for establishing a personnel time distribution model by combining the collected personnel number passing through each access, the collected personnel video data of each access and the collected mobile phone signals of the personnel in the building with the building drawing;
the self-learning module is used for receiving the personnel time distribution model, and training the neural network by taking the personnel number, the distribution density and the crowdedness of the evacuation channel as input to obtain an emergency evacuation model;
the intelligent analysis module is used for determining an evacuation scheme according to the personnel time distribution model and a preset emergency evacuation model when the alarm signal is not acquired, and defining the evacuation scheme as a normal evacuation scheme; when an alarm signal is acquired, determining an emergency evacuation scheme according to the personnel time distribution model and an optimized emergency evacuation model, wherein the optimized emergency evacuation model is an evacuation model obtained by optimizing a preset emergency evacuation model according to real-time monitoring information;
the second information processing module is used for receiving the normal evacuation scheme or the emergency evacuation scheme and compiling the received normal evacuation scheme or the received emergency evacuation scheme;
the second communication module is used for sending the compiled normal evacuation scheme or the compiled emergency evacuation scheme to the evacuation indicating device;
and the evacuation indicating device is used for displaying the evacuation direction.
Optionally, the intelligent analysis module includes: a first intelligent analysis unit, configured to determine an evacuation plan using an output of the people time distribution model as an input of the emergency evacuation model, where the output of the people time distribution model includes the number of people, the distribution density, and the degree of congestion of the evacuation route.
Optionally, the intelligent analysis module further includes: and the second intelligent analysis unit is used for acquiring the personnel count passed by each access, the personnel video data of each access and the mobile phone signals of the personnel in the building in real time, determining a personnel time distribution model in real time, training the evacuation model by taking the fault parameters and the output of the personnel time distribution model determined in real time as input, and obtaining an optimized emergency evacuation model, wherein the fault parameters comprise an evacuation channel collapse position, a fire position and a water flooding position, and are determined by the video image acquisition device.
Optionally, the building drawing is preset by the personnel time distribution model determining module.
Optionally, the mobile phone signal acquisition device based on the 3G/4G network includes a mobile phone probe.
Optionally, the video image acquisition device includes a windows embedded 3D intelligent video passenger flow counter.
Optionally, the evacuation indicating device comprises an XSS-3000 intelligent evacuation indicating system.
Optionally, the infrared counting and collecting device comprises a wireless passenger flow counter.
According to the invention content provided by the invention, the invention discloses the following technical effects:
according to the invention, the infrared counting and collecting device, the video image collecting device and the mobile phone signal collecting device are used for collecting personnel data in real time, and the data collected by the three personnel data collecting devices are comprehensively analyzed, so that the personnel data obtained by the system are more comprehensive and accurate; establishing a personnel time distribution model by combining personnel data acquired in real time with a building drawing, and determining a normal evacuation scheme by combining the personnel time distribution model with a preset emergency evacuation model when an alarm signal is not acquired; when the alarm signal is acquired, the personnel time distribution model is combined with the optimized emergency evacuation model to determine an emergency evacuation scheme, and the evacuation direction is displayed according to the evacuation scheme, so that personnel in the building can select a faster and more convenient evacuation channel, the evacuation speed of the personnel is improved, and the possibility of secondary casualties caused by the personnel jam in case of disasters is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of an emergency personnel intelligent evacuation system for a large complex according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide an intelligent evacuation system for emergency personnel in a large-scale complex, which adjusts the evacuation direction of an indication mark according to data acquired in real time, so that personnel in a building can select a faster and more convenient evacuation channel, the evacuation speed of the personnel is improved, and the possibility of secondary casualties caused by the personnel congestion when a disaster occurs is reduced.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a schematic structural diagram of an intelligent evacuation system for emergency personnel in a large complex according to the present invention, as shown in fig. 1, the system includes:
a 3G/4G network-based mobile phone signal acquisition device 101, an infrared counting acquisition device 102, a video image acquisition device 103, an alarm signal acquisition module 104, a first communication module 105, a first information processing module 106, a personnel time distribution model determination module 107, a self-learning module 108, an intelligent analysis module 109, a second information processing module 110, a second communication module 111 and an evacuation indication device 112;
the infrared counting and collecting device 102 is used for collecting the number of the people passing through each entrance and exit;
the video image acquisition device 103 is used for acquiring personnel video data of each entrance;
the mobile phone signal acquisition device 101 based on the 3G/4G network is used for acquiring mobile phone signals of personnel in a building;
an alarm signal obtaining module 104, configured to obtain an alarm signal through a monitoring alarm system;
the first communication module 105 is used for receiving the number of people passing through each entrance and exit, the video data of the people at each entrance and exit, and mobile phone signals and alarm signals of the people in the building, and sending the signals to the first information processing module;
the first information processing module 106 is used for processing the received number of the people passing through each entrance and exit, the video data of the people at each entrance and exit, the mobile phone signals of the people in the building and the alarm signals, and sending the processed data to the people time distribution determining module 107 and the intelligent analysis module 109;
the personnel time distribution model determining module 107 is used for establishing a personnel time distribution model by combining the collected personnel number passing through each access, the collected personnel video data of each access and the mobile phone signals of the personnel in the building with the building drawing;
the self-learning module 108 is used for receiving the personnel time distribution model, and training the neural network by taking the personnel number, the distribution density and the crowdedness of the evacuation channel as input to obtain an emergency evacuation model;
the intelligent analysis module 109 determines an evacuation scheme according to the personnel time distribution model and a preset emergency evacuation model when the alarm signal is not acquired, and defines the evacuation scheme as a normal evacuation scheme; when an alarm signal is acquired, determining an emergency evacuation scheme according to the personnel time distribution model and an optimized emergency evacuation model, wherein the optimized emergency evacuation model is an evacuation model obtained by optimizing a preset emergency evacuation model according to real-time monitoring information;
the second information processing module 110 is configured to receive a normal evacuation scheme or an emergency evacuation scheme, and compile the received normal evacuation scheme or emergency evacuation scheme;
the second communication module 111 is used for sending the compiled normal evacuation scheme or the compiled emergency evacuation scheme to an evacuation indicating device;
and an evacuation indicator 112 for displaying an evacuation direction.
Wherein, intelligent analysis module 109 includes: and the first intelligent analysis unit is used for determining an evacuation scheme by taking the output of the personnel time distribution model as the input of the emergency evacuation model, and the output of the personnel time distribution model comprises the personnel number, the distribution density and the congestion degree of an evacuation channel.
The intelligent analysis module 109 further includes: and the second intelligent analysis unit is used for acquiring the personnel count passed by each access, the personnel video data of each access and the mobile phone signals of the personnel in the building in real time, determining a personnel time distribution model in real time, training the evacuation model by taking the fault parameters and the output of the personnel time distribution model determined in real time as input, and obtaining an optimized emergency evacuation model, wherein the fault parameters comprise an evacuation channel collapse position, a fire position and a water flooding position, and are determined by the video image acquisition device 103.
The person time distribution model determination module 107 presets the building drawing.
The mobile phone signal acquisition device 101 based on the 3G/4G network comprises a mobile phone probe.
The video image acquisition device 103 comprises a windows embedded 3D intelligent video passenger flow counter.
The infrared count acquisition device 102 includes a wireless passenger flow counter.
Example 1:
a, B, C three doors are arranged in a building, 500 persons are arranged at the door A, 55 persons are arranged at the door B, 36 persons are arranged at the door C, and the distances between the door B and the door C are the same as those between the door A, the invention acquires the data of the three doors through an infrared counting acquisition device 102, a video image acquisition device 103 and a mobile phone signal acquisition device 101 based on a 3G/4G network, a person time distribution model is established on the basis of a preset building drawing by utilizing the acquired data of the three doors, when an alarm signal is given, an intelligent analysis module determines the person time distribution model in real time, the number of persons, the distribution density and the crowd degree of an evacuation channel of A, B, C three doors are taken as input, the neural network is trained to obtain an emergency evacuation model, an optimized emergency evacuation scheme is determined by combining the person time distribution module established in real time, the indication direction of an evacuation indication mark is adjusted through an evacuation indicator 112, and the crowded people instruction of the gate A is guided to the gates B and C, so that the crowded people of the gate A can be quickly evacuated. The mobile phone signal acquisition device 101 based on the 3G/4G network comprises a comet WP150P mobile phone probe, the infrared counting acquisition device 102 comprises an IDTK people flow counter of Wenzhou Yitong automation equipment Inc., the video image acquisition device 103 comprises a widrnembedded 3D intelligent video passenger flow counter, and the evacuation indicator 112 comprises an XSS-3000 intelligent evacuation system of the West accommodating Seal electronics Inc.
Example 2:
when an alarm signal is given, A, B, C three doors are arranged in a building, 200 persons are arranged at the door A, 210 persons are arranged at the door B and 220 persons are arranged at the door C, the invention acquires data of the three doors through an infrared counting and collecting device 102, a video image collecting device 103 and a mobile phone signal collecting device 101 based on a 3G/4G network to acquire that the door A catches fire and people can not be evacuated, at the moment, a fault parameter is the fire position of the door A, the fault parameter, the number of people at the door A, B, C, the distribution density and the evacuation channel crowding degree are used as input, an evacuation model is trained to obtain an optimized emergency evacuation model, an emergency evacuation scheme is determined by combining a real-time established people time distribution module, the indication direction of an evacuation indication mark is adjusted, the crowd indication of the door A is guided to the door B and the door C, so that the crowd at the door A can be evacuated rapidly and safely, meanwhile, the guide personnel can not evacuate through the door A any more, so that the personnel in the building can select a faster and more convenient evacuation channel.
The invention adopts three modes to acquire the dynamic information of the personnel in real time. When two persons pass through the entrance and exit simultaneously, the infrared counting and collecting device 102 may identify one person, so that when many persons exist, the infrared counting and collecting device 102 may have inaccurate counting; when there is no light or the light is not good, the video image capturing device 103 may have data statistics obstacles; the mobile phone signal acquisition device 101 based on the 3G/4G network identifies the number and the position of the people by the number and the position of the mobile phone, so that certain errors may exist in the people data acquired by the mobile phone signal acquisition device. Therefore, the personnel dynamic information is acquired in real time by adopting three modes, so that the acquired personnel data information is more accurate.
According to the invention, a personnel time distribution model is established by combining personnel data collected in real time with a building drawing, and when an alarm signal is not obtained, the personnel time distribution model is combined with a preset emergency evacuation model to determine a normal evacuation scheme; when the alarm signal is acquired, the personnel time distribution model is combined with the optimized emergency evacuation model to determine an emergency evacuation scheme, and the evacuation direction of the indication mark is adjusted according to the evacuation scheme, so that personnel in the building can select a faster and more convenient evacuation channel, the evacuation speed of the personnel is improved, and the possibility of secondary casualties caused by the personnel jam in case of disasters is reduced.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (5)
1. An intelligent evacuation system for emergency personnel for a large complex, the system comprising:
the system comprises an infrared counting acquisition device, a video image acquisition device, a mobile phone signal acquisition device based on a 3G/4G network, an alarm signal acquisition module, a first communication module, a first information processing module, a personnel time distribution model determination module, a self-learning module, an intelligent analysis module, a second communication module, a second information processing module and an evacuation indicating device;
the infrared counting and collecting device is used for collecting the number of the people passing through each entrance and exit;
the video image acquisition device is used for acquiring personnel video data of each entrance;
the mobile phone signal acquisition device based on the 3G/4G network is used for acquiring mobile phone signals of personnel in a building; the mobile phone signal acquisition device based on the 3G/4G network comprises a comet WP150P mobile phone probe;
the alarm signal acquisition module is used for acquiring an alarm signal through the monitoring alarm system;
the first communication module is used for receiving the number of the people passing through each entrance and exit, the video data of the people at each entrance and exit, the mobile phone signals of the people in the building and the alarm signals, and sending the signals to the first information processing module;
the first information processing module processes the received number of the people passing through each entrance and exit, the video data of the people at each entrance and exit, the mobile phone signals of the people in the building and the alarm signals, and sends the processed data to the people time distribution determining module and the intelligent analysis module;
the personnel time distribution model determining module is used for establishing a personnel time distribution model by combining the collected personnel number passing through each entrance, the collected personnel video data of each entrance and the collected personnel mobile phone signals of the personnel in the building with the building drawing;
the self-learning module is used for receiving the personnel time distribution model, and training a neural network by taking the personnel number, the distribution density and the crowdedness of an evacuation channel as input to obtain an emergency evacuation model;
the intelligent analysis module determines an evacuation scheme according to the personnel time distribution model and a preset emergency evacuation model when the alarm signal is not acquired, and the evacuation scheme is defined as a normal evacuation scheme; when the alarm signal is acquired, determining an emergency evacuation scheme according to the personnel time distribution model and an optimized emergency evacuation model, wherein the optimized emergency evacuation model is an evacuation model obtained by optimizing a preset emergency evacuation model according to real-time monitoring information;
the intelligent analysis module comprises:
a first intelligent analysis unit, configured to determine the normal evacuation scheme by using an output of the people time distribution model as an input of the preset emergency evacuation model, where the output of the people time distribution model includes the number of people, the distribution density, and the degree of congestion of the evacuation channels;
the intelligent analysis module further comprises:
the second intelligent analysis unit is used for acquiring the personnel count passing through each entrance and exit, the personnel video data of each entrance and exit and the mobile phone signals of personnel in the building in real time, determining the personnel time distribution model in real time, training the evacuation model by taking fault parameters and the output of the personnel time distribution model determined in real time as input, and acquiring the optimized emergency evacuation model, wherein the fault parameters comprise an evacuation channel collapse position, a fire position and a water flooding position, and are determined by the video image acquisition device;
the second information processing module is configured to receive the normal evacuation scheme or the emergency evacuation scheme, and compile the received normal evacuation scheme or the received emergency evacuation scheme;
the second communication module is used for sending the compiled normal evacuation scheme or the compiled emergency evacuation scheme to an evacuation indicating device;
the evacuation indicating device is used for displaying the evacuation direction.
2. An intelligent evacuation system for emergency personnel of a large complex according to claim 1, wherein said time distribution of personnel model determining module is pre-set with said building drawing.
3. An intelligent evacuation system for emergency personnel of a large complex according to claim 1, wherein said video image capture device comprises a windrn embedded 3D intelligent video passenger flow counter.
4. An intelligent evacuation system for emergency personnel of a large complex according to claim 1, wherein the evacuation indicator device comprises an XSS-3000 intelligent evacuation indicator system.
5. An intelligent evacuation system for emergency personnel of a large complex according to claim 1, wherein said infrared count collection means comprises a wireless passenger flow counter.
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| CN116579453A (en) * | 2023-03-15 | 2023-08-11 | 中科海慧（北京）科技有限公司 | Emergency evacuation auxiliary system for dealing with emergency based on space-time big data |
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