CN110415396B - Access control method, system, device and storage medium based on artificial intelligence - Google Patents
Access control method, system, device and storage medium based on artificial intelligence Download PDFInfo
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- CN110415396B CN110415396B CN201910548749.2A CN201910548749A CN110415396B CN 110415396 B CN110415396 B CN 110415396B CN 201910548749 A CN201910548749 A CN 201910548749A CN 110415396 B CN110415396 B CN 110415396B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
- G01C21/206—Instruments for performing navigational calculations specially adapted for indoor navigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C2209/00—Indexing scheme relating to groups G07C9/00 - G07C9/38
- G07C2209/60—Indexing scheme relating to groups G07C9/00174 - G07C9/00944
- G07C2209/63—Comprising locating means for detecting the position of the data carrier, i.e. within the vehicle or within a certain distance from the vehicle
Abstract
The application discloses an entrance guard control method, system, equipment and storage medium based on artificial intelligence. The method comprises the following steps: acquiring fire parameters of all first areas and second areas in a target area; controlling the door body in which the fire occurs to open, close or close according to the fire parameters of each first area; receiving a help seeking request of an escape worker, extracting position information of the escape worker, and planning an escape route of the position based on an actually opened door body, fire parameters of a second area and building structure information of a target area to obtain a planning result; if the judgment result is yes, selecting an optimal escape route from the judgment result; and sending the optimal escape route to the evacuee. This application is opened, is closed or is closed through the door body that the control takes place the condition of a fire to plan out feasible route of fleing for the personnel of fleing and guide its safety escape, reduce the intensity of a fire and spread, reduce the casualties.
Description
Technical Field
The application belongs to the technical field of artificial intelligence safety access control systems, and particularly relates to an access control method, system, equipment and storage medium based on artificial intelligence.
Background
The access control and security system is used for protecting the safety of personnel and property, so the system must be safe; but safety brings inconvenience to the process of escaping when a fire happens, the existing access control system can be automatically unlocked when a fire happens, all door bodies are opened, and people can escape conveniently, but the unlocking control is not fine enough and intelligent enough. For example, if a fire disaster occurs and all doors are automatically opened, if one side or both sides of the door are seriously burned, the escape personnel cannot escape or may be injured if the door is opened blindly.
Disclosure of Invention
The embodiment of the application discloses an entrance guard control method, system, equipment and storage medium based on artificial intelligence, and aims to realize intelligent opening or closing of a door body to facilitate escape of people, avoid casualties caused by opening of the door with fire conditions and plan a reasonable escape route.
Some embodiments of the application disclose an entrance guard control method based on artificial intelligence, include:
acquiring fire parameters of all first areas and second areas in a target area, wherein the first areas refer to areas on two sides of a door body, the second areas refer to areas excluding other areas which can pass through the first areas, and the fire parameters comprise smoke concentration, fog concentration and open fire size parameters;
controlling the door body which generates the fire to open, close or close according to the level of the fire parameter of each first area, wherein the door body opening means that the door body is open, the door body closing means that the door body can be opened by a person although the door body is kept closed, and the door body closing means that the door body is completely closed and cannot be opened by the person;
receiving a help seeking request of an escape worker, extracting position information of the escape worker, and planning an escape route of the position based on an actually opened door body, fire parameters of a second area and building structure information of a target area to obtain a planning result, wherein the planning result comprises the escape route or no escape route;
judging whether a planned escape route exists in a planning result;
if the judgment result is yes, selecting an optimal escape route from the planned escape routes;
and sending the optimal escape route to the evacuee who sends the help-seeking request.
Further, in the above-mentioned case,
the step of planning the escape route of the position based on the actually opened door body, the fire parameters of the second area and the building structure information of the target area specifically comprises the following steps:
planning a virtual escape route of a building which can go out of a target area from a position point of the evacuee according to building structure information of the target area;
a step of obtaining a virtual escape route, which is to obtain the virtual escape route;
marking the passing condition of each area of the virtual escape route, setting a first area corresponding to a door body which is actually opened on the virtual escape route as passable, and setting a second area on each virtual escape route, wherein the fire condition parameters of the second area do not reach a preset threshold value, as passable;
a judging step of judging whether all areas on the virtual escape route can pass through;
if the judgment result is yes, the virtual escape route is determined to be the planned escape route, and if the judgment result is no, the virtual escape route is determined not to be the planned escape route;
and obtaining the next virtual escape route, and repeating the step of marking the traffic information of each area of the virtual escape route and the step of judging until all the virtual escape routes are judged to be finished to obtain a planning result.
Further, after the step of judging whether the escape route is planned according to the planning result, the method further comprises the following steps:
the step of judging whether the escape route is planned or not in the planning result further comprises the following steps:
if the judgment result is negative, re-planning the escape route at the position based on the fire parameters of the actually opened door body, the closed door body and the second area and the building structure information of the target area to obtain a planning result;
judging whether a planned escape route exists in a re-planned planning result;
if so, reselecting the optimal escape route from the re-planned escape routes;
and opening the closed door body involved in the reselected optimal escape route.
Further, after the step of judging whether the escape route is planned according to the re-planned planning result, the method further includes:
and if the planning result of the re-planning is negative, sending out a rescue alarm to the administrator.
Optionally, the step of selecting an optimal escape route from the planned escape routes specifically includes: acquiring the length of each escape route from the planning result, and comparing the lengths of the escape routes to select the shortest escape route as the optimal escape route;
or
Acquiring the length of each escape route from the planning result, sequencing the lengths of the escape routes from small to large, and selecting escape routes which are not more than a preset number according to the sequence of the lengths of the escape routes from small to large;
collecting the number of people in each selected escape route by an image recognition technology;
and selecting the escape route with the least number of people from the selected preset number of escape routes as the optimal escape route.
Optionally, the step of re-selecting an optimal escape route from the re-planned escape routes specifically includes:
acquiring the length of each escape route from the re-planned planning result, and comparing the lengths of the escape routes to select the shortest escape route as the optimal escape route;
or
Acquiring the length of each escape route from the re-planned planning result, sequencing the lengths of the escape routes from small to large, and selecting a preset number of escape routes according to the sequence of the lengths of the escape routes from small to large;
collecting the number of people in each selected escape route by an image recognition technology;
and selecting the escape route with the least number of people from the selected preset number of escape routes as the optimal escape route.
Optionally, after the step of sending the optimal escape route to the evacuee who sends the help-seeking request, the method further includes:
and prompting the escape personnel according to the escape route sent to the escape personnel sending the help seeking request, wherein the prompt comprises an acousto-optic prompt.
Some embodiments of this application still disclose an access control system based on artificial intelligence, including total control center:
the master control center comprises:
the fire condition parameter acquisition module is used for acquiring fire condition parameters of all first areas and second areas in a target area, wherein the first areas refer to areas on two sides of a door body, the second areas refer to areas excluding other areas which can pass through the first areas, and the fire condition parameters comprise smoke concentration, fog concentration and open fire size parameters;
the single door body control module is used for controlling the opening, closing or closing of the door body generating the fire according to the level of the fire parameter of each first area, wherein the opening of the door body means that the door body is opened, the closing of the door body means that the door body can be opened by a person although the door body is kept closed, and the closing of the door body means that the door body is completely closed and cannot be opened by the person;
the escape route planning module is used for receiving a help seeking request of an escape person, extracting position information of the escape person, planning an escape route of the position based on an actually opened door body, fire parameters of a second area and building structure information of a target area, and obtaining a planning result, wherein the planning result comprises the escape route or no escape route;
the escape route planning module is used for judging whether a planned escape route exists in a planning result;
the optimal escape route selecting module is used for selecting an optimal escape route from the planned escape routes if the judgment result is yes;
and the escape route sending module is used for sending the optimal escape route to the escape personnel who send the help-seeking request.
Some embodiments of the present application also disclose a computer device, wherein the memory stores a computer program, and the processor implements the steps of the artificial intelligence based access control method as described above when executing the computer program.
Some embodiments of the present application also disclose a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the artificial intelligence based access control method as described above.
Compared with the prior art, the technical scheme disclosed by the application mainly has the following beneficial effects:
according to the method, when a fire signal is received, the fire parameters of each first area and each second area are detected, on one hand, the door bodies with serious fire conditions are controlled to be closed according to the fire parameters, and the situation that fire spreads or casualties are caused when people open the door bodies with serious fire conditions is avoided; and on the other hand, the position information of the escape personnel is received, the escape route of the position is planned based on the actually opened door body, the fire condition parameters of the second area and the building structure information of the target area, the planning result is obtained, and when the planning result comprises the escape route, the optimal escape route is selected and provided for the escape personnel to help the escape personnel to escape.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, 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 application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a schematic diagram of a first embodiment of an artificial intelligence based access control method according to the present application;
FIG. 2 is a diagram illustrating a second embodiment of an artificial intelligence based access control method according to the present application;
fig. 3 is a schematic structural diagram of an access control system based on artificial intelligence according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a first embodiment of the general control center in FIG. 3;
FIG. 5 is a schematic structural diagram of a second embodiment of the general control center in FIG. 3;
fig. 6 is a block diagram of a basic structure of the computer device 100 in the embodiment of the present application.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present application are shown in the drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
An embodiment of the present application provides an access control method based on artificial intelligence, please refer to fig. 1, where fig. 1 is a schematic diagram of a first embodiment of the access control method based on artificial intelligence according to the embodiment of the present application; the access control method based on artificial intelligence in the embodiment of the application comprises the following steps:
s101, fire parameters of all first areas and second areas in a target area are obtained, wherein the first areas refer to areas on two sides of a door body, the second areas refer to other areas which can pass and exclude the first areas, and the fire parameters comprise smoke concentration, fog concentration and open fire size parameters.
In the embodiment of the application, the target area may be an area range which needs to be monitored and managed, specifically, may be in a lodging building, and may also be a single-storey building, such as a market and other areas; when the fire condition parameters of the target area reach preset values, signals indicating that a fire disaster occurs are triggered to transmit, the fire disaster signals are received, and all door bodies in the target area are controlled to be opened so that escape personnel can escape quickly.
The first region refers to the region on both sides of the door body.
The second area refers to an area which excludes other areas which can pass through the first area, and particularly refers to an area which can be passed through by people when no fire occurs, such as an area of a corridor, a passageway and the like, and the relatively private space in a similar room is inconvenient to monitor and is not considered in the application.
S102, controlling the door body which generates the fire to open, close or close according to the level of the fire parameter of each first area, wherein the door body opening means that the door body is opened, the door body closing means that the door body can be opened by a person although the door body is kept closed, and the door body closing means that the door body is completely closed and cannot be opened by the person.
In the embodiment, the condition that the fire occurs in the first area comprises that the fire occurs on one side of the door body, or the fire occurs on both sides of the door body; the fire parameters may include the concentration of smoke, the concentration of fog, whether or not an open fire is present, and if an open fire is present, the size parameter of the open fire.
In order to enable the control of the door body to be more accurate and enable people to escape more conveniently, threshold values of different levels are set for the fire parameters of the first area, for example, a first threshold value and a second threshold value are set, wherein the first threshold value is smaller than the second threshold value. Referring to the threshold, the fire was classified into mild, moderate and severe. Specifically, the fire condition parameter is in a slight level when the fire condition parameter does not reach a first threshold value, and the door body is controlled to be opened according to the processing of the safety state, specifically in an open state, and is not pushed away by people; when the fire parameter reaches or exceeds a first threshold value but does not reach a second threshold value, the fire is in a medium level, the door body is controlled to be closed at the moment, specifically, the door body is in a normally closed state and can be opened manually by a common person, when the escape person walks to the door body, the escape person can push the door body to pass through, and after the passing is finished, the door body is automatically restored to the closed state; the condition of a fire is the serious rank when the condition of a fire parameter reaches the second threshold value, and the control reaches the door body of second threshold value and thoroughly closes, specifically general people can't open after closing, also can not pass from here, avoids opening this door body and causes the condition of a fire to stretch or personnel are injured, but flees for one's life in order to help the personnel of fleing, plans out the safe route of fleing of the door body position closed in real time to indicate the personnel of fleing through reputation electric identification, guide the personnel of fleing to flee for one's life.
S103, receiving a help seeking request of the escape personnel, extracting position information of the escape personnel, planning an escape route of the position based on the door body which is actually opened, the fire condition parameters of the second area and the building structure information of the target area, and obtaining a planning result, wherein the planning result comprises the escape route or does not comprise the escape route.
In some possible embodiments, the help request of the evacuee carries the position information of the evacuee itself, and specifically, the evacuee sends the position information of the evacuee itself to the general control center through a communication device such as a mobile phone or a computer.
In other possible embodiments, the help request of the evacuee does not carry the position information of the evacuee, but the system can confirm the position information of the evacuee through the received signal source position; specifically, the escape personnel send the help-seeking request of the escape personnel to the master control center through communication equipment such as a mobile phone or a computer, and the system responds to the help-seeking request of the escape personnel and confirms the position information of the escape personnel through the received signal source position.
The building structure information in the target area may be an electronic map and a planning map of a building of the target area.
Specifically, when the planning result includes the escape routes, the default includes the escape routes and the length of each escape route.
Specifically, the step of planning the escape route of the position based on the actually opened door body, the fire parameter of the second area and the building structure information of the target area specifically includes:
planning a virtual escape route of a building which can go out of a target area from a position point of the evacuee according to building structure information of the target area;
a step of obtaining a virtual escape route, which is to obtain the virtual escape route;
marking the passing condition of each area of the virtual escape route, setting a first area corresponding to a door body which is actually opened on the virtual escape route as passable, setting the closed and closed door bodies as non-passable, setting a second area on each virtual escape route, wherein the fire condition parameters of the second area do not reach a preset threshold value, as passable, and setting the second area reaching the preset threshold value as non-passable;
a judging step of judging whether all areas on the virtual escape route can pass through;
if the judgment result is yes, the virtual escape route is determined to be the planned escape route, and if the judgment result is no, the virtual escape route is determined not to be the planned escape route;
and obtaining the next virtual escape route, and repeating the step of marking the traffic information of each area of the virtual escape route and the step of judging until all the virtual escape routes are judged to be finished to obtain a planning result.
S104, judging whether a planned escape route exists in the planning result.
And S105, if the judgment result is yes, selecting the optimal escape route from the planned escape routes.
Specifically, in some possible embodiments, the step of selecting the optimal escape route from the planned escape routes comprises:
and acquiring the length of each escape route from the planning result, and comparing the lengths of the escape routes to select the shortest escape route as the optimal escape route.
And if the planned path is only 1, the planned escape route is the optimal escape route.
In other possible embodiments, selecting an escape route with the shortest length as the optimal escape route may cause all people to run along the same route, so as to avoid crowding all evacuees onto one route, and to make the crowding difficult to escape. Therefore, the step of selecting the optimal escape route from the planned escape routes comprises:
acquiring the length of each escape route from the planning result, sequencing the lengths of the escape routes from small to large, and selecting a preset number of escape routes according to the sequence of the lengths of the escape routes from small to large;
collecting the number of people in each selected escape route by an image recognition technology;
and selecting the escape route with the least number of people from the selected preset number of escape routes as the optimal escape route.
The preset number can be two or more, and the optimal escape route comprises one escape route which is less than the preset number. And if the number of the planned escape routes is less than the preset number, directly selecting the escape route with the least number of people from the planned escape routes as the optimal escape route, and if the number of the planned escape routes is less than the optimal escape route, determining that the planned escape route is the optimal escape route.
And if the planned path is only 1, the planned escape route is the optimal escape route.
And S106, sending the optimal escape route to the evacuee who sends the help seeking request to instruct the evacuee to escape.
Specifically, the default optimal escape route to be sent to the help seeker also includes the length of the route.
The beneficial effect that this embodiment brought is that only open the door body of first region (door body both sides) safety department to avoid blindly opening all door bodies and make the intensity of a fire stretch more seriously, personnel are injured. Meanwhile, a help seeking request of the escape personnel is received, the position information of the escape personnel is extracted, an escape route of the position is planned based on the door body which is actually opened, the fire condition parameters of the second area and the building structure information of the target area, the optimal escape route is selected, the optimal escape route is sent to the escape personnel who send the help seeking request, the escape personnel is guided to escape, and meanwhile the escape personnel is prevented from running to the door body with serious fire and delaying escape time.
Referring to fig. 2, fig. 2 is a schematic diagram of a second embodiment of an access control method based on artificial intelligence in the present application;
because some door bodies belong to the only export in fleing, if take place the condition of a fire and be closed and can lead to the no way to walk, or some non-door position fire is violent can't pass and lead to some people to the no way to walk, or some people are located the very near position of fire source, go out the way and be blocked by the no way can walk and so on multiple reason and lead to the escape route quantity of planning out to be zero, if for zero can lead to the personnel of fleing can't flee, in order to guarantee that each personnel of fleing can flee for one ' S life, still include after step S104:
s201, if the judgment result is negative, re-planning the escape route at the position based on the fire condition parameters of the door body which is actually opened, the door body which is closed, the second area and the building structure information of the target area.
The door body which is closed actually is closed, but the door body which is closed actually can pass through the door body reluctantly, and in order to increase the escape chance, namely increase the chance of having an escape route, the closed door body is added when the escape route is planned, and the escape route is planned again.
The step of planning the escape route of the position based on the fire parameters of the door body which is actually opened, the door body which is closed, the second area and the building structure information of the target area specifically comprises the following steps:
planning a virtual escape route of a building which can go out of a target area from a position point of the evacuee according to building structure information of the target area;
a step of obtaining a virtual escape route, which is to obtain the virtual escape route;
marking the passing condition of each area of the virtual escape route, setting the door bodies which are actually opened on the virtual escape route and the first areas corresponding to the closed door bodies as passable, and setting the second areas on each virtual escape route, of which the fire condition parameters do not reach the preset threshold value, as passable;
a judging step of judging whether all areas on the virtual escape route can pass through;
if the judgment result is yes, the virtual escape route is determined to be the planned escape route, and if the judgment result is no, the virtual escape route is determined not to be the planned escape route;
and obtaining the next virtual escape route, and repeating the step of marking the traffic information of each area of the virtual escape route and the step of judging until all the virtual escape routes are judged to be finished to obtain a planning result.
S202, judging whether the re-planned planning result has a planned escape route.
S203, if the judgment result is yes, the optimal escape route is selected again from the re-planned escape routes.
In some possible embodiments, the step of re-selecting an optimal escape route from the re-planned escape routes comprises:
and obtaining the length of each escape route from the re-planned planning result, and comparing the lengths of the escape routes to select the shortest escape route as the optimal escape route.
The number of the optimal escape routes to be selected can be preset (the number of the optimal routes), one or two escape routes can be selected, and if the number of the planned escape routes is smaller than the number of the optimal routes, the planned escape routes are the optimal escape routes. Specifically, if the number of re-planned escape routes is large, for example, more than the number of optimal escape routes to be selected, one or two escape routes with the shortest route are selected as the optimal escape routes.
In other possible embodiments, in order to avoid all evacuees crowding onto one route and making the escape uncongested, the step of re-selecting the optimal escape route from the re-planned escape routes comprises:
acquiring the length of each escape route from the re-planned planning result, sequencing the lengths of the escape routes from small to large, and selecting a preset number of shortest escape routes;
collecting the number of people in each selected escape route by an image recognition technology;
and selecting the escape route with the least number of people from the preset number of shortest escape routes as the optimal escape route.
The preset number can be two or more, the number (optimal route number) specifically selected as the optimal escape route can also be preset, and the optimal route number is smaller than the preset number. And if the number of the planned escape routes is less than the preset number, directly selecting the escape route with the least number of people from the planned escape routes as the optimal escape route, and if the number of the planned escape routes is less than the optimal escape route, determining that the planned escape route is the optimal escape route.
And S204, opening the closed door body involved in the reselected optimal escape route.
S205, the reselected optimal escape route is sent to the evacuee sending the help-seeking request so as to guide the evacuee sending the help-seeking request to escape.
In this embodiment, when it is determined that the escape route is not planned, the escape route can be re-planned by opening some closed door bodies, so that more possibilities of the escape route can be increased, but because some door bodies belong to the only exit in the escape, if a fire is closed, no way can be taken, or some people cannot go due to fierce fire in some second areas, or some people are located at a position close to a fire source, the exit is blocked, no way can be taken, and the like, so that the number of the re-planned escape routes is still zero, at this time, in order to ensure that each escape person can escape, the system sends a rescue alarm to the manager, so as to rescue the escape person who has no feasible escape route, specifically, the manager can perform rescue in an air rescue manner such as rescue after receiving the rescue alarm, and simultaneously sends information for waiting for rescue to the escape person, and informs the evacuee of the rescue measures and progress that the rescuer is currently taking and the things and cautions that the evacuee needs to do.
The method has the advantages that the help seeking request of the escape personnel is received, the position information of the escape personnel is extracted, the escape route of the position is planned based on the door body which is actually opened, the fire condition parameters of the second area and the building structure information of the target area, and when the escape route is not planned, all closed door bodies involved in the position escape are regarded as being opened; re-planning an escape route of the position; re-selecting an optimal escape route from the re-planned routes; and opening the closed door body related to the reselected optimal escape route, thereby increasing the possibility that the evacuee can obtain a feasible escape route.
Further, in some other embodiments of the present application, after the step of sending the optimal escape route and the optimal route length to the evacuee making the help-seeking request for guiding the evacuee, a prompt is given to the evacuee according to the escape route sent to the evacuee making the help-seeking request, where the prompt includes an acousto-optic prompt. Specifically, the acoustic-optical-electric prompt may include a voice prompt for the evacuee, for example, when the escape route is sent to the evacuee, the evacuee is informed that the escape route has been sent. But also can be light signals and the like which are arranged at intervals on the escape route along the escape route and continuously flicker.
An embodiment of the present application further discloses an access control system based on artificial intelligence, please refer to fig. 3 and fig. 4, fig. 3 is a schematic structural diagram of the access control system based on artificial intelligence according to the embodiment of the present application, and fig. 4 is a schematic structural diagram of a first embodiment of a master control center in fig. 3; the system comprises a general control centre 2.
Specifically, in the embodiment of the present application, the general control center 2 includes:
the fire parameter acquiring module 211 is configured to acquire fire parameters of all first areas and all second areas in the target area, where the fire parameters include smoke concentration, fog concentration, and open fire size parameters. The first area refers to the area on two sides of the door body, and the second area refers to the area excluding the other accessible areas of the first area. The target area may be an area range which needs to be monitored and managed, specifically, may be in an accommodation building, or may be an area of a single-story building, such as a mall.
And the single door body control module 212 is used for controlling the door bodies with fire conditions to open, close or close according to the level of the fire condition parameters of each first area. The door body is opened, the door body is closed, the door body can be opened by a person although the door body is kept closed, and the door body is closed, so that the door body is completely closed and cannot be opened by the person.
The escape route planning module 213 is configured to receive a help request of an escape person, extract position information of the escape person, plan an escape route of the position based on a fire parameter of the actually opened door body and the second area and building structure information of the target area, and obtain a planning result, where the planning result includes the escape route or does not include the escape route.
A escape route planning module 214 for determining whether a planned escape route exists in the planning result;
and an optimal escape route selecting module 215, configured to select an optimal escape route from the planned escape routes if the determination result is yes.
And the escape route sending module 216 is configured to send the optimal escape route to the evacuee who sends the help-seeking request.
The utility model provides a total control center 2 controls all door bodies and opens after receiving fire signal, supply the flee personnel to flee, according to the condition of a fire parameter in first region, open the door body that the intensity of a fire is slight and supply the people to flee, reach the door body closure or the closing of predetermined degree with the intensity of a fire, avoid the intensity of a fire to stretch, avoid the flee personnel to open a door body injury simultaneously, receive the request of seeking help of flee personnel simultaneously, extract the position information of flee personnel, based on the door body of actually opening, the condition of a fire parameter in second region and the building structure information planning of target area are drawn the route of fleing of position, select the optimal route of fleing, send the optimal route of fleing for the flee personnel who send the request of seeking help, guide flee personnel, avoid flee personnel to run to the too serious door body department of the intensity.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a second embodiment of the general control center in fig. 3;
specifically, in the embodiment of the present application, the general control center 2 further includes, in addition to the fire parameter obtaining module 211, the single door body control module 212, the escape route planning module 213, the module 214 for determining whether to plan an escape route, the optimal escape route selecting module 215, and the escape route sending module 216:
and the escape route re-planning module 221 is used for re-planning the escape route at the position based on the fire parameters of the door body which is actually opened, the door body which is closed, the second area and the building structure information of the target area.
The module 222 for determining whether to plan the escape route again is used to determine whether there is a planned escape route in the re-planned planning result.
And an optimal escape route re-selection module 223, configured to re-select an optimal escape route from the re-planned escape routes if the determination result is yes.
And the closed door body opening module 224 is used for opening the closed door body in the reselected optimal escape route.
The escape route sending module 216 is further configured to send the reselected optimal escape route to the evacuee who sends the help request.
In other embodiments of the present application, the general control center 2 further includes a prompt module (not shown) for guiding the evacuee to escape according to the escape route sent to the evacuee.
The prompt module can give a prompt in various ways, specifically, the prompt module can give a voice prompt to the evacuee, for example, after the escape route is sent to the evacuee, the evacuee is informed of sending the escape route, a display structure can also be arranged on the wall of the escape route, the main control center 2 controls the display structure to display according to the planned escape route, for example, the display structure can be L ED lamps, lasers and the like, L ED lamps or lasers which are arranged at intervals but continuously flash are arranged on the escape route, so that the evacuee can guide to escape after seeing the escape route, and naturally, the existing illuminating lamps among buildings can also be controlled to flash according to a certain frequency and be connected in series to prompt the escape direction of the evacuee.
Further, please refer to fig. 3, the system further includes an entrance guard device 1 and a second area detection module 3 in addition to the master control center 2, and the master control center 2 is in communication connection with the entrance guard device 1 and the second area detection module 3, respectively.
Specifically, the master control center 2 communicates with the corresponding access control device 1 and the second area detection module 3 through wired communication or wireless communication network, but adopts a wireless communication mode, so that not only can the complexity of wiring harness arrangement be overcome, but also the accessibility and stability of network communication use in emergency can be improved.
The access control device 1 comprises a door body 11 and a first area detection module 12, wherein the first area detection module 12 is used for acquiring fire parameters of a first area and transmitting the fire parameters to the master control center 2.
Specifically, the first area detection module 12 includes a first area sensor 121 installed on the door 11 and a first area camera 122 installed near the door 11 in the first area, and the first area sensor 121 and the first area camera 122 respectively transmit the acquired fire parameters to the general control center 2.
The first area camera 122 obtains the pictures and videos in the visible area, and confirms whether the open fire occurs and the size parameter (such as the area size) of the open fire through an image recognition technology. The first area camera 122 may also capture the number of people located in the first area through image recognition techniques.
The second area detection module 3 is used for acquiring the fire parameters of the second area and transmitting the fire parameters to the master control center 2.
Specifically, the second area detection module 3 includes a second area sensor 31 and a second area camera 32 that are provided at non-door positions such as a corridor and a corridor in the building of the target area.
For example, the first area sensor 121 and the second area sensor 31 in the present embodiment may be various combinations of three of a smoke sensor, a fog sensor, and a temperature sensor, such as a smoke sensor and a fog sensor, a smoke sensor and a temperature sensor, a fog sensor and a temperature sensor, a smoke sensor, a fog sensor, and a temperature sensor. The smoke sensor and the fog sensor are used for detecting the concentration of smoke and fog, the temperature sensor is used for detecting the temperature nearby, and the acquired fire parameters are transmitted to the master control center 2.
The second area camera 32 acquires the pictures and videos in the second area, confirms whether an open fire occurs and the size parameter (for example, the size of the area) of the open fire through an image recognition technology, and transmits the acquired fire parameter signal to the general control center 2. The second area camera 32 may also capture the number of people in the second area through image recognition techniques.
Specifically, when the fire parameters of the second area or the first area in the target area reach a preset value, it is determined that a fire occurs, the first area detection module 12 or the second area detection module 3 in which the fire occurs sends a fire signal to the master control center 2, the master control center 2 receives the fire signal to acquire the fire parameters of all the first areas and the fire parameters of the second area in the target area, and the door 11 in which the fire occurs is controlled to open, close or close according to the fire parameters of each first area.
The benefit that sets up like this is that one side of avoiding certain door body 11 takes place the condition of a fire, and the condition of a fire is more serious moreover, and the flee personnel open door body 11 in the one side that does not have the condition of a fire not only can't flee and be injured easily on the contrary, and the more probable condition of a fire stretches, and it leads to the door body 11 to open blindly to take place the conflagration in 11 positions of the door body that avoid having and makes the condition of a fire stretch easily.
Meanwhile, in order to enable the escape personnel in the building to escape, the master control center 2 receives a help seeking request of the escape personnel, extracts position information of the escape personnel, plans an escape route of the position based on the actually opened door body 11, fire parameters of the second area and building structure information of the target area, selects an optimal escape route, and sends the optimal escape route to the escape personnel who send the help seeking request so as to guide the escape personnel to escape according to the received escape route.
Because some door bodies 11 belong to the only exit in the escape, if the fire condition is closed, no way can be taken, or some people cannot be taken because some second areas are fiercely and can not pass, or some people are located at the positions close to fire sources, the exit is blocked, no way can be taken, and the like, the number of the planned escape routes is zero, if the exit routes are zero, the escape personnel can not escape, the master control center 2 judges whether the planned escape routes exist or not after the planned escape routes are obtained, if the judgment result is yes, the optimal escape routes are selected and sent to the escape personnel to guide the escape personnel to escape; if the judgment result is negative, re-planning the escape route at the position based on the actually opened door body 11, the closed door body 11, the fire condition parameters of the second area and the building structure information of the target area to obtain a planning result; judging whether a planned escape route exists in a re-planned planning result; if so, reselecting the optimal escape route from the re-planned escape routes; and opening the closed door body 11 involved in the reselected optimal escape route. On the other hand, the reselected optimal escape route is sent to the escape personnel to guide the escape personnel to escape, and the possibility that the escape personnel can obtain a feasible escape route is increased.
An embodiment of the present application discloses a computer device. Referring specifically to fig. 6, a block diagram of a basic structure of a computer device 100 according to an embodiment of the present application is shown.
As illustrated in fig. 6, the computer apparatus 100 includes a memory 101, a processor 102, and a network interface 103, which are communicatively connected to each other through a system bus. It is noted that only a computer device 100 having components 101 and 103 is shown in FIG. 6, but it is understood that not all of the illustrated components are required and that more or fewer components may alternatively be implemented. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The computer device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The memory 101 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the storage 101 may be an internal storage unit of the computer device 100, such as a hard disk or a memory of the computer device 100. In other embodiments, the memory 101 may also be an external storage device of the computer device 100, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the computer device 100. Of course, the memory 101 may also include both internal and external storage devices of the computer device 100. In this embodiment, the memory 101 is generally used for storing an operating system and various application software installed in the computer device 100, such as the above-mentioned access control method based on artificial intelligence. Further, the memory 101 may also be used to temporarily store various types of data that have been output or are to be output.
The processor 102 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 102 is generally operative to control overall operation of the computer device 100. In this embodiment, the processor 102 is configured to execute the program code stored in the memory 101 or process data, for example, execute the program code of the above-mentioned artificial intelligence based access control method.
The network interface 103 may comprise a wireless network interface or a wired network interface, and the network interface 103 is generally used for establishing communication connection between the computer device 100 and other electronic devices.
The present application further provides another embodiment, which is to provide a computer-readable storage medium storing a computer program, which is executable by at least one processor to cause the at least one processor to perform the steps of any one of the above-mentioned artificial intelligence based access control methods.
Finally, it should be noted that the above-mentioned embodiments illustrate only some of the embodiments of the present application, and are therefore not to be considered limiting of its scope, for the invention may admit to other equally effective embodiments. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (10)
1. An entrance guard control method based on artificial intelligence is characterized by comprising the following steps:
acquiring fire parameters of all first areas and second areas in a target area, wherein the first areas refer to areas on two sides of a door body, the second areas refer to areas excluding other areas which can pass through the first areas, and the fire parameters comprise smoke concentration, fog concentration and open fire size parameters;
controlling the door body which generates the fire to open, close or close according to the level of the fire parameter of each first area, wherein the door body is opened and is opened, the door body is closed and is opened by people, the door body is closed and is completely closed and cannot be opened by people, if the fire parameter is smaller than a first threshold value, the level of the fire is judged to be slight and the state of the door body is controlled to be opened, if the fire parameter is larger than or equal to the first threshold value and is smaller than or equal to a second threshold value, the level of the fire is judged to be medium and the state of the door body is controlled to be closed, and if the level of the fire parameter is larger than the second threshold value, the level of the fire is judged to be serious and the state of the door body is controlled to be closed;
receiving a help seeking request of an escape worker, extracting position information of the escape worker, and planning an escape route of the position based on an actually opened door body, fire parameters of a second area and building structure information of a target area to obtain a planning result, wherein the planning result comprises the escape route or no escape route;
judging whether a planned escape route exists in a planning result;
if the judgment result is yes, selecting an optimal escape route from the planned escape routes;
and sending the optimal escape route to the evacuee who sends the help-seeking request.
2. The entrance guard control method based on artificial intelligence as claimed in claim 1, wherein the step of planning the escape route of the location based on the actually opened door body, the fire parameter of the second area and the building structure information of the target area specifically comprises:
planning a virtual escape route of a building which can go out of a target area from a position point of the evacuee according to building structure information of the target area;
a step of obtaining a virtual escape route, which is to obtain the virtual escape route;
marking the passing condition of each area of the virtual escape route, setting a first area corresponding to a door body which is actually opened on the virtual escape route as passable, and setting a second area on each virtual escape route, wherein the fire condition parameters of the second area do not reach a preset threshold value, as passable;
a judging step of judging whether all areas on the virtual escape route can pass through;
if the judgment result is yes, the virtual escape route is determined to be the planned escape route, and if the judgment result is no, the virtual escape route is determined not to be the planned escape route;
and obtaining the next virtual escape route, and repeating the step of marking the traffic information of each area of the virtual escape route and the step of judging until all the virtual escape routes are judged to be finished to obtain a planning result.
3. The artificial intelligence based access control method according to claim 1, wherein the step of determining whether the escape route is planned as a result of the planning further comprises:
if the judgment result is negative, re-planning the escape route at the position based on the fire parameters of the actually opened door body, the closed door body and the second area and the building structure information of the target area to obtain a planning result;
judging whether a planned escape route exists in a re-planned planning result;
if so, reselecting the optimal escape route from the re-planned escape routes;
and opening the closed door body involved in the reselected optimal escape route.
4. The artificial intelligence based entrance guard control method according to claim 3, wherein after the step of determining whether the escape route is planned as a result of the re-planning, the method further comprises:
and if the planning result of the re-planning is negative, sending out a rescue alarm to the administrator.
5. The artificial intelligence based access control method of claim 1,
the step of selecting the optimal escape route from the planned escape routes specifically comprises: acquiring the length of each escape route from the planning result, and comparing the lengths of the escape routes to select the shortest escape route as the optimal escape route;
or
Acquiring the length of each escape route from the planning result, sequencing the lengths of the escape routes from small to large, and selecting a preset number of escape routes according to the sequence of the lengths of the escape routes from small to large;
collecting the number of people in each selected escape route by an image recognition technology;
and selecting the escape route with the least number of people from the selected preset number of escape routes as the optimal escape route.
6. The artificial intelligence based access control method according to claim 3, wherein the step of re-selecting the optimal escape route from the re-planned escape routes specifically comprises:
acquiring the length of each escape route from the re-planned planning result, and comparing the lengths of the escape routes to select the shortest escape route as the optimal escape route;
or
Acquiring the length of each escape route from the re-planned planning result, sequencing the lengths of the escape routes from small to large, and selecting a preset number of escape routes according to the sequence of the lengths of the escape routes from small to large;
collecting the number of people in each selected escape route by an image recognition technology;
and selecting the escape route with the least number of people from the selected preset number of escape routes as the optimal escape route.
7. The artificial intelligence based access control method according to claim 1, wherein the step of transmitting the optimal escape route to the evacuee making the help request further comprises, after the step of transmitting the optimal escape route to the evacuee making the help request:
and prompting the escape personnel according to the escape route sent to the escape personnel sending the help seeking request, wherein the prompt comprises an acousto-optic prompt.
8. An access control system based on artificial intelligence is characterized by comprising a master control center;
the master control center comprises:
the fire condition parameter acquisition module is used for acquiring fire condition parameters of all first areas and second areas in a target area, wherein the first areas refer to areas on two sides of a door body, the second areas refer to areas excluding other passable areas of the first areas, and the fire condition parameters comprise smoke concentration, fog concentration and open fire size parameters;
the single door body control module is used for controlling the door bodies with fire to be opened, closed or closed according to the level of the fire parameter of each first area, wherein the door bodies are opened and are opened, the door bodies are closed and are opened by people, the door bodies are closed and are completely closed and cannot be opened by people, if the fire parameter is smaller than a first threshold value, the level of the fire is judged to be slight and the state of the door bodies is controlled to be opened, if the fire parameter is larger than or equal to the first threshold value and is smaller than or equal to a second threshold value, the level of the fire is judged to be medium and the state of the door bodies is controlled to be closed, and if the level of the fire parameter is larger than the second threshold value, the level of the fire is judged to be serious and the state of the door bodies is controlled to be closed;
the escape route planning module is used for receiving a help seeking request of an escape person, extracting position information of the escape person, planning an escape route of the position based on an actually opened door body, fire parameters of a second area and building structure information of a target area, and obtaining a planning result, wherein the planning result comprises the escape route or no escape route;
the escape route planning module is used for judging whether a planned escape route exists in a planning result;
the optimal escape route selecting module is used for selecting an optimal escape route from the planned escape routes if the judgment result is yes;
and the escape route sending module is used for sending the optimal escape route to the escape personnel who send the help-seeking request.
9. A computer device comprising a memory having stored therein a computer program and a processor which, when executing the computer program, carries out the steps of the artificial intelligence based access control method of any of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the artificial intelligence based access control method according to any one of claims 1 to 7.
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| CN111577025A (en) * | 2020-04-24 | 2020-08-25 | 德施曼机电（中国）有限公司 | Intelligent lock with fire alarm function and alarm method |
| CN111523528B (en) * | 2020-07-03 | 2020-10-20 | 平安国际智慧城市科技股份有限公司 | Strategy sending method and device based on scale recognition model and computer equipment |
| CN111815921A (en) * | 2020-07-08 | 2020-10-23 | 成都智达未来科技有限公司 | Intelligent fire-fighting rapid linkage method and system for realizing same |
| CN111862567A (en) * | 2020-07-20 | 2020-10-30 | 广东博殿堡电子科技有限公司 | Control method and system for remote control through mobile terminal |
| CN112212864A (en) * | 2020-09-02 | 2021-01-12 | 鹏城实验室 | Fire scene navigation method and system based on deep learning and storage medium |
| CN112153572A (en) * | 2020-09-24 | 2020-12-29 | 维沃移动通信有限公司 | Information transmission method, device and equipment |
| CN116905926B (en) * | 2023-09-12 | 2023-12-15 | 深圳好博窗控技术股份有限公司 | Door and window control method, terminal equipment and computer readable storage medium |
| CN117079371B (en) * | 2023-10-13 | 2024-04-05 | 成都越凡创新科技有限公司 | Scheduling method and system for access control rights |
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