CN114723165A - Disaster early warning method and system based on intelligent equipment, electronic equipment and storage medium - Google Patents
Disaster early warning method and system based on intelligent equipment, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention is suitable for the technical field of disaster early warning, and provides a disaster early warning method and system based on intelligent equipment, electronic equipment and a storage medium, wherein the method comprises the following steps: s1, acquiring disaster early warning information; s2, processing the disaster early warning information to obtain a processing result, wherein the processing result comprises disaster related information; s3, acquiring user information; s4, setting early warning priority of intelligent equipment based on the disaster related information and the user information; and S5, controlling the corresponding intelligent equipment to carry out disaster early warning according to the user information and the early warning priority. The intelligent equipment capable of fully utilizing the intelligent home technology can more reasonably and efficiently perform disaster early warning on the user.
Description
Technical Field
The invention relates to the technical field of disaster early warning, in particular to a disaster early warning method and system based on intelligent equipment, electronic equipment and a storage medium.
Background
With the rapid development of science and technology, especially the rapid popularization of the internet of things technology, smart homes have gradually proliferated to the market and become infrastructure of each family. The intelligent home is a home technology which comprehensively links various intelligent home terminals (including but not limited to various intelligent electronic devices such as a refrigerator, an air conditioner, a gas stove, a camera, a lamp, intelligent wearable equipment (a watch bracelet), a door and a window, a sound box, a television, a flat panel and an intelligent access control) by using a house as a platform and utilizing the network communication technology, the automatic control technology, the audio and video technology, the internet of things technology and other front-edge technologies, and different intelligent terminals in the intelligent home can be checked, controlled and adjusted through the central control platform, so that a user can conveniently obtain relevant information in the house and control corresponding terminal equipment at any time and any place in real time.
Natural disasters frequently occur every year in China, the natural disasters cause great loss to life and property safety of people, natural disaster early warning is carried out by using a special matched terminal at present, and the appearance of intelligent home provides a new way and thought for disaster early warning. Therefore, how to fully use the smart home devices to more reasonably and efficiently prompt the user for disaster early warning is an urgent problem to be solved in the field and a new development direction.
Disclosure of Invention
The invention aims to provide a disaster early warning method and system based on intelligent equipment, electronic equipment and a readable storage medium, which can carry out disaster early warning on a user more reasonably and efficiently on the basis of fully utilizing the intelligent equipment of the intelligent home technology.
In a first aspect, an embodiment of the present invention provides a disaster early warning method based on an intelligent device, including:
s1, acquiring disaster early warning information;
s2, processing the disaster early warning information to obtain a processing result, wherein the processing result comprises disaster related information;
s3, acquiring user information;
s4, setting early warning priority of intelligent equipment based on the disaster related information and the user information;
and S5, controlling the corresponding intelligent equipment to perform disaster early warning according to the user information and the early warning priority.
Optionally, the intelligent device includes intelligent device information, where the intelligent device information includes function type information, response type information, and/or location type information, the function type information is used to identify a function of the intelligent device, the response type information is used to identify response time or delay time of the intelligent device for disaster early warning, and the location type information is used to identify location information of the intelligent device.
Optionally, the user information includes user location information, user status information, and time information, and the smart device receives an acquisition instruction to acquire the user location information, the user status information, and/or the time information.
Optionally, when a plurality of intelligent devices exist in the early warning range and/or the intelligent devices include multiple response modes, the step of setting the early warning priority of the intelligent device based on the disaster related information and the user information specifically includes:
and adjusting the response priorities of the intelligent devices and the priorities of the multiple response modes according to the user information and the position information and by combining the disaster related information.
Optionally, the response mode of the smart device includes a display-type response, a sound-type response, a contact-type response, and a switch-type response.
Optionally, the step of adjusting the response priorities of the plurality of intelligent devices and the priorities of the plurality of response modes according to the user information and the location type information and in combination with the disaster-related information includes:
calculating the distance between the corresponding intelligent equipment and the user according to the position class information and the user position information of the intelligent equipment and based on the position information and the user position information of the intelligent equipment;
setting the response priority of the intelligent devices from high to low according to the distance between the intelligent devices and the room where the user is located; when the user and the intelligent equipment are in the same room, setting the response priority of the distance between the user and the intelligent equipment from near to far as from high to low; (ii) a And/or
According to the disaster related information, combining the function type information, the response type information and/or the position type information of the intelligent equipment to adjust the priority of the intelligent equipment;
specifically, if the smart device includes a plurality of pieces of function class information, the more kinds of function class information, the higher the response priority of the smart device is;
and setting the response priority of the intelligent equipment from high to low according to the response time or delay time of each response mode of the intelligent equipment from short to long.
Optionally, the method further comprises:
and judging the user state according to the user state information and/or the time information in the user information, and adjusting the response priority and the response mode of the intelligent equipment according to the judgment result.
Optionally, the method further comprises:
and when a high-risk area and/or high-risk equipment exist in the early warning range, the response priority of the intelligent equipment with the response mode of switch response is adjusted to be priority response.
Optionally, the method further comprises:
the steps of judging the user state according to the user state information and/or the time information in the user information, and adjusting the response priority and the response mode of the intelligent device according to the judgment result comprise:
if the user is judged to be in a waking state according to the user state information, calculating the distance between the room where the intelligent device is located and the room where the user is located in real time, and preferentially calling the intelligent device which is located in the same space with the user and is closest to the user to respond;
and if the user is judged to be in the sleep state according to the user state information, preferentially calling the intelligent equipment with the sound type response in the same space as the user to respond.
Optionally, the method further comprises:
the step of judging the user state according to the user state information and/or the time information in the user information and adjusting the response priority and the response mode of the intelligent device according to the judgment result further comprises:
and if the time information is at night, controlling the intelligent equipment with the lighting function and switch response in the same space with the user to respond according to the user position information preferentially no matter which state the user is in.
In a second aspect, an embodiment of the present invention provides a disaster early warning system based on an intelligent device, including:
the disaster early warning information acquisition module is used for acquiring disaster early warning information;
the disaster early warning information processing module is used for processing the disaster early warning information to obtain a processing result, and the processing result comprises disaster related information;
the user information acquisition module is used for acquiring user information;
the priority setting module is used for setting the early warning priority of the intelligent equipment based on the disaster related information and the user information;
and the intelligent equipment control module is used for controlling the corresponding intelligent equipment to carry out disaster early warning according to the user information and the early warning priority.
In a third aspect, an embodiment of the present invention provides an electronic device, including: the disaster early warning method based on the intelligent equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps in the disaster early warning method based on the intelligent equipment when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a readable storage medium, where a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the computer program implements the steps in the disaster early warning method based on an intelligent device.
Compared with the prior art, the embodiment of the application mainly has the following beneficial effects:
1. by the internet of things technology, various intelligent sensing devices, intelligent response devices and intelligent control devices are interconnected and combined with disaster early warning, so that the disaster early warning can be effectively transmitted to the last kilometer, and different disasters can be effectively early warned in time;
2. early warning priorities are set for various intelligent devices according to disaster related information and user information, and intelligent devices with different positions and different functions have different early warning priorities, so that the intelligent devices can be controlled to respond to different disaster early warning information by fully utilizing the intelligent home technology;
3. different strategies are adopted when the early warning priorities of various intelligent devices are calculated, disaster related information, user information and intelligent device information are comprehensively considered, and the intelligent devices are controlled to respond to different disaster early warning information more efficiently;
4. setting response priorities for multiple response modes of the same intelligent device, and performing differentiated and reasonable early warning prompt on different users according to disaster early warning information and user information;
5. through fine-grained division and setting of specific early warning response modes of various intelligent devices, reasonable disaster early warning can be carried out on users by fully and effectively utilizing the intelligent devices, and the efficiency of disaster early warning is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention or in the description of the prior art will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a disaster warning method based on intelligent devices in the present invention;
fig. 2 is a schematic structural diagram of an embodiment of a disaster early warning system based on an intelligent device in the present invention;
fig. 3 is a schematic structural diagram of an electronic device in the present invention.
Detailed Description
The following description provides many different embodiments, or examples, for implementing different features of the invention. The particular examples set forth below are illustrative only and are not intended to be limiting.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, fig. 1 is a flowchart of an embodiment of a disaster early warning method based on an intelligent device according to the present invention, where the disaster early warning method based on the intelligent device includes:
and S1, acquiring disaster early warning information.
In embodiments of the present invention, the types of disasters include, but are not limited to, earthquakes, fires, landslides, debris flows, floods, rainstorms, lightning, and/or water accumulation. The disaster early warning information can be remotely acquired from the outside of an early warning range, such as the disaster early warning information is acquired from each disaster monitoring and early warning center through information forwarding, interface calling and the like, and can also be locally acquired from an early warning area, such as various indoor intelligent sensors, intelligent detection equipment, intelligent acquisition equipment, intelligent response equipment interconnection and the like are acquired in real time through intelligent home technology and then processed after detection, and the disaster early warning information is acquired in the early warning range including but not limited to residential areas where intelligent equipment is installed, such as living rooms, bedrooms, toilets, storage rooms and even residences, and channels among rooms.
And S2, processing the disaster early warning information to obtain a processing result, wherein the processing result comprises disaster related information.
In the embodiment of the present invention, the different disaster early warning information acquired in step S1 may be processed to obtain disaster-related information, where the disaster-related information includes disaster type information, disaster early warning level information, and/or disaster influence level information, and a corresponding response is performed according to the disaster-related information. The disaster early warning information can be generated for local monitoring, for example, the smoke concentration data and the temperature data acquired by the indoor smoke sensor and the indoor temperature sensor in real time can be processed and compared with corresponding threshold values, when the smoke concentration exceeds the standard and/or the temperature is higher than the threshold values, the disaster type information in the disaster early warning information is set as a fire disaster, and the position information of the disaster is set as local. When the disaster early warning information is transmitted and received through the early warning center and the like, for example, after receiving earthquake early warning data transmitted by an external earthquake early warning center server, processing to obtain earthquake disaster related information such as early warning time, early warning grade (equivalent to disaster early warning grade), estimated intensity (equivalent to disaster influence grade) and the like. Of course, when the disaster early warning information includes disaster type information, disaster early warning level and/or disaster influence level, only the relevant data needs to be extracted, and other calculation processing is not needed.
And S3, acquiring the user information.
In an embodiment of the present invention, the user information includes user location information, user status information, and/or time information.
And S4, setting early warning priority of the intelligent equipment based on the disaster related information and the user information. The early warning priority of the intelligent device in the embodiment of the invention refers to the sequence priority of the related responses performed by the intelligent device, and in the response process, the intelligent device with the highest priority can respond, or some intelligent devices with the highest priority can respond.
And S5, controlling the corresponding intelligent equipment to perform disaster early warning according to the intelligent equipment information and the early warning priority.
The intelligent device provided by the embodiment of the invention is provided with intelligent device information, the intelligent device information comprises function type information, response type information and/or position type information, wherein the function type information is used for identifying the function of the intelligent device, the response type information is used for identifying the response time or delay time of the intelligent device aiming at disaster early warning, and the position type information is used for identifying the position information of the intelligent device. In addition, when receiving the acquisition instruction, the intelligent device may acquire user location information, user status information, and/or time information, where the acquisition instruction may be an instruction that is automatically triggered after the intelligent device receives the disaster early warning information, or an instruction that is issued to the corresponding intelligent device after the central control or main server receives the disaster early warning information. Specifically, the user location information is obtained by an intelligent device which is carried by the user and has a positioning function, or the user location information may be obtained by an indoor intelligent camera or an intelligent gateway, and the user location information may be empty when the user location information is not obtained.
It should be noted that the early warning area often includes more than one intelligent device, each intelligent device has a primary function, a secondary function, and information such as a place/position where the intelligent device is placed, that is, the function type information, the response type information, and the position type information, each intelligent device at least has one response mode of a display type response, a sound type response, a contact type response, and a switch type response, each intelligent device is communicated with other intelligent devices through a communication means such as a network or bluetooth, and obtains information of other intelligent devices, for example, the intelligent wearable device, the intelligent camera, and the like can obtain user position information, user state information, and/or time information, and the intelligent devices capable of obtaining user information, such as the intelligent wearable device and the intelligent camera, synchronize the user information to other intelligent devices through the network or bluetooth; certainly, the communication means of the intelligent devices may also be realized through a unified central control, that is, the information of the intelligent devices is synchronized through the central control, and the central control issues a control instruction to the intelligent devices to realize that the intelligent devices respond in order according to the priority. And obtaining relevant information of the intelligent devices required for early warning according to the disaster type information, the disaster early warning level information and/or disaster influence level information and other disaster relevant information obtained in the step S2, and setting early warning priorities of the intelligent devices.
Further, when a plurality of intelligent devices exist in the early warning range and/or the intelligent devices include a plurality of response modes, the distance between the room where each intelligent device is located and the room where the user is located can be calculated according to the user location information and the location class information, so that the relationship between the room where the intelligent device is located and the room where the user is located can be inferred, for example, the intelligent device and the user are located in the same room or the intelligent device and the user are located in a communicated room; certainly, the distance between each intelligent device and the user may also be calculated according to the user location information and the location class information, and the response priorities of the plurality of intelligent devices and the priorities of the plurality of response modes are adjusted by combining the disaster-related information, which is specifically as follows:
calculating the distance between the room where the corresponding intelligent device is located and the room where the user is located according to the position type information of the intelligent device and the user position information acquired by the intelligent device, and calculating the distance between the intelligent device and the user;
setting the response priority of the intelligent devices from high to low according to the distance between the intelligent devices and the room where the user is located; when the user and the intelligent equipment are in the same room, setting the response priority of the distance between the user and the intelligent equipment from near to far as from high to low; and/or
According to the disaster related information, combining with the function type information, the response type information and/or the position type information of the intelligent equipment, adjusting the priority of the intelligent equipment;
if the intelligent equipment comprises a plurality of pieces of function class information, the intelligent equipment with more types of function class information has higher response priority;
and setting the priority of the response modes of the intelligent equipment from high to low according to the response time or delay time of each response mode of the intelligent equipment from short to long.
In the embodiment of the invention, the disaster type and the disaster occurrence position information are obtained by acquiring and processing the disaster early warning information, so that the disaster occurrence in the internal space or the external space where the intelligent equipment is arranged can be judged according to the disaster occurrence position information. When a disaster occurs in an external space and the disaster type is natural disasters such as earthquake, landslide, debris flow, flood, mountain fire and the like, calculating the distance between a room where the intelligent equipment is located and a room where the user is located, sequencing according to the distance between the room where the intelligent equipment is located and the room where the user is located, sequentially reducing the priority of the early warning equipment from short to long according to the distance between the room where the intelligent equipment is located and the room where the user is located, and then preferentially calling the intelligent equipment with the highest priority to early warn the user according to the response mode of the intelligent equipment; if the intelligent equipment and the user are in the same room, the response priorities of the intelligent equipment are arranged from high to low according to the distance between the user and the intelligent equipment from near to far, then the intelligent equipment with the highest priority is preferentially called to early warn the user according to the response mode of the intelligent equipment, and the user can timely and effectively receive early warning prompts.
In addition, when a disaster occurs in an internal space and the disaster type is an unnatural disaster such as an indoor fire or a gas/natural gas leak, disaster location information can be acquired from the acquired disaster-related information. When broadcasting a disaster occurring in an internal space, the disaster is usually in an initial stage of occurrence, and at this time, the response priorities of the plurality of intelligent devices may be set according to the location information of the intelligent devices in the location type information and the disaster location information. Only whether the user is in the inner space is identified, the early warning information can be directly broadcasted without considering the specific position information of the user, the early warning information is broadcasted at the disaster position, the disaster position of the user can be reminded at the initial stage of disaster occurrence, the fire is timely extinguished or the gas/natural gas valve is closed or the disaster condition is timely acquired, and measures are taken to delay the spread of the disaster or timely escape from the site. For example, when a fire is detected in the kitchen and the user is in the interior space, that is, the distance between the location of the smart device identified by the location class information and the location of the fire is arranged from near to far, the kitchen > an area or room in communication with the kitchen > an area or room in non-communication with the kitchen, the intelligent equipment (such as a refrigerator, a range hood, a dish washer, a lamp and the like) in the kitchen is preferably called and early warning reminding is carried out according to the response mode, then, according to the position information of the intelligent device, the intelligent device of the area or room (such as a restaurant, a living room and the like) which is nearest to the kitchen and is communicated with the kitchen is called to perform early warning prompt according to the response mode of the intelligent device, and sequentially proceeding according to the set early warning priority, and finally calling intelligent equipment in an area or a room (such as a washroom, a bedroom and the like) which is not communicated with the kitchen to perform early warning prompt according to a response mode of the intelligent equipment.
The position information of the intelligent equipment can be manually input by a user according to the deployment position of the intelligent equipment in a room, and can also be acquired by the positioning function of the intelligent equipment; if the distances between the intelligent devices and the user are the same or the distances between the intelligent devices and the disaster point locations are the same, the response priority of the intelligent devices is adjusted according to disaster related information in combination with function type information and/or response type information of the intelligent devices, wherein the intelligent devices with more function type information have higher response priority, such as intelligent devices with the same position information, such as a refrigerator, a range hood and a dish washer, wherein the refrigerator comprises the most function type information and comprises a screen display function, a voice function, a control function and the like, namely the functions are the most, the response priority is higher than that of the range hood and the dish washer, and the refrigerator is preferentially called to perform disaster early warning response; in addition, when the refrigerator has multiple types of response modes of display type response, sound type response and switch type response, in the multiple response modes corresponding to the refrigerator, if the response time (such as 1s) of the screen response is shorter than other response modes (such as voice response 2s and light response 3s), the screen response is set to be performed preferentially, namely, the early warning prompt message is displayed on the display screen of the refrigerator preferentially. Thus, when fire early warning information is received or a fire is monitored to occur in a kitchen, the intelligent equipment (such as a refrigerator) in the kitchen responds preferentially, then the intelligent equipment (such as a lamp) in a restaurant, the intelligent equipment (such as a television) in a living room, the intelligent equipment (such as a sound box and an air conditioner) in a bedroom and the intelligent equipment (such as a lamp) in a bathroom respond sequentially, and each room (or area) can control at least one main intelligent equipment to perform disaster early warning, so that no matter how many users are, no matter where the users are, disaster early warning prompts can be received, disaster avoidance and risk avoidance measures can be taken timely, and the situation that the intelligent equipment in one room (or area) respond simultaneously without dividing the number of the users into a main number and a secondary number is avoided; of course, the user can also control other intelligent devices through the central control device or one of the intelligent devices, and turn off screen responses, voice responses, light responses and the like of the other intelligent devices. It should be understood that the above-mentioned "priority" is not the same selection way, but is selected from front to back, that is, there may be other selections after the "priority", such as the above-mentioned refrigerator preferentially making screen response, then making sound response, light response, etc.
And further, judging the user state according to the user state information and/or the time information, and adjusting the response priority and the response mode of the intelligent equipment according to the judgment result. Specifically, the user state information may be acquired through an intelligent device that is carried by the user along with the voice and is capable of monitoring the user state, for example, the state (waking state or sleeping state) of the user is acquired through a motion bracelet, a sleep monitor, and the like, and the user state is comprehensively judged by combining the acquired user position information, time information, and video image information; when the acquired time information is in the daytime, judging according to the position information of the user, if the user is at home and in a waking state, acquiring the position information of the user and the position information of the intelligent device in real time, calculating the relation between the room where the intelligent device is located and the room where the user is located, preferentially calling the intelligent device (such as a television of a living room, a refrigerator of a kitchen, a computer of a bedroom, a mobile phone and the like) in the same room as the user to perform disaster early warning, and if the user is at home and in a sleeping state, preferentially calling the intelligent device (such as a sound box of the living room, a sound box of the bedroom and the like) responding to the sound type in the same room as the user to perform disaster early warning; when the acquired time information is at night, no matter which state the user is in, the intelligent equipment (such as lamps of a living room and a bedroom, emergency lamps in a channel and the like) which is positioned in the same room or the nearest room and has a lighting function is controlled to respond according to the position of the user, then the intelligent equipment which is positioned in the same room or the nearest room and has a sound response is controlled to carry out a sound response, meanwhile, the intelligent equipment which is positioned in the same room or the nearest room and has other responses is controlled to carry out disaster early warning, so that the user can timely take danger-avoiding actions under the condition of seeing the environment clearly, and thus, the user in different states can be subjected to differentiated and reasonable early warning prompts under different conditions.
Further, when a high-risk area and/or high-risk equipment exists in the early warning range, the response priority of the intelligent equipment with the response mode of switch response is adjusted to be priority response, and disaster early warning is carried out according to disaster type information and disaster grade information. For example, when the received disaster type information includes earthquake early warning, the switch type response intelligent device is required to be controlled preferentially to cut off the switch of the high-risk device communicated with the intelligent device, such as a gas stove, a gas valve, a water gate, a high-risk device electric gate and the like, so as to avoid secondary disasters; according to the received or locally calculated early warning time, early warning grade (equivalent to disaster early warning grade) and estimated intensity (equivalent to disaster influence grade) in the earthquake early warning information, earthquake early warning is carried out on the user in a better mode, and therefore the intelligent home technology can be fully utilized to efficiently control intelligent equipment to carry out early warning on different disasters. It should be noted that the processes of controlling the switch type response intelligent device and performing earthquake early warning on the user may be performed simultaneously or sequentially, and are specifically determined according to different disaster types and different residential unit types. And if the switch type response intelligent equipment is controlled firstly, then earthquake early warning is carried out on the user, and at the moment, if the switch type response intelligent equipment breaks down, the control step is skipped, and earthquake early warning is directly carried out on the user.
Specifically, the early warning levels (disaster early warning levels) include four levels of blue, yellow, orange and red, and at this time, according to preset rules, the intelligent device responds according to different early warning levels, and the specific early warning response modes of various intelligent devices can be set as follows:
for intelligent equipment provided with a display screen, a loudspeaker and/or a buzzer, such as an intelligent refrigerator, a television, a panel, a sound box and the like, the broadcast contents are different in early warning time with different lengths, and when the early warning time is more than or equal to a certain time (for example, 30 seconds), disaster related information (when the disaster type is an earthquake, basic information such as the earthquake center position, the early warning earthquake magnitude and the like can be broadcast) can be broadcast besides the countdown broadcasting process; when the early warning time is less than a certain time (for example, 30 seconds), only the countdown broadcasting is required.
Simultaneously, also can adopt different report modes according to the difference of earthquake early warning grade, for example: when the early warning level is blue, the ding-dong is 30, 28 … … 10, 9, 8, 7, 6, 5, 4, 3, 2, 1 and whining (the early warning level continues until seismic waves have no influence on the local area); when the early warning level is yellow or orange, the ding-dong, 30, tic, 28 … … 10, tic, 8, tic, 6, tic, 4, tic, 2, tic, and wu waves (continued until the seismic waves have no effect on the local); when the warning level is red, ding-dong, 30, tic, 28, tic, 26 … … 10, tic, 9, tic, 8, tic, 7, tic, 6, tic, 5, tic, 4, tic, 3, tic, 2, tic, 1, and singing whine (persistent seismic waves have no effect on the local).
For the air conditioner which can emit beep and display digital countdown, when the early warning level is blue, the air conditioner prompts a user only when countdown is started according to the early warning time; when the early warning level is yellow, the air conditioner displays countdown according to early warning time, and sends a 'tic' sound to prompt a user when countdown is started; when the early warning level is orange, the air conditioner displays countdown according to the early warning time, sends a ticker sound to prompt a user when the countdown is started, and the ticker sound is sent once every second in the countdown process until seismic waves reach the local area, and the ticker sound is sent twice every second after the seismic waves reach the local area until the seismic waves have no influence on the local area; when the early warning level is red, the air conditioner displays countdown according to the early warning time, sends a 'tic' sound to prompt a user when the countdown is started, and sends the 'tic' sound once every second in the countdown process until seismic waves reach the local area, and the 'tic' sound is continuously sent until the seismic waves have no influence on the local area after the seismic waves reach the local area.
For the intelligent lamp, after receiving a disaster early warning control instruction containing earthquake early warning information, the intelligent lamp can be controlled to display different colors and/or different flashing frequencies according to different early warning grades or estimated intensity to prompt a user.
For the intelligent camera, the voice broadcasting logic of the intelligent camera can be executed by referring to the voice broadcasting logic of the refrigerator; when a disaster early warning control instruction containing earthquake early warning information is received, the intelligent camera is started under the condition of pre-authorization of a user, shoots and records the behavior of the user in the early warning process and the condition of the earthquake influence on the site in real time, and uploads the behavior to an emergency department and/or a disaster relief department through a network after the user allows or pre-authorization, so that the emergency department and/or the disaster relief department can know the disaster situation of the earthquake site conveniently, and the user can be effectively rescued.
In addition, when the seismic waves arrive locally, the actual influence of the earthquake on the indoor space can be recorded through image information acquired by the intelligent camera, and the specific acquisition mode and/or method is not limited herein.
To intelligent wearing equipment, user's wearing equipment promptly, like motion bracelet etc. be provided with screen, speaker usually and have the vibration function, the refrigerator part can be referred to screen suggestion and sound prompt under the different early warning time, only carries out detailed description here to the vibration early warning mode: when the early warning level is blue, only once vibration is sent out when the earthquake early warning is started; when the early warning level is yellow, primary vibration is sent out when the early warning of the earthquake is started, and continuous long vibration is sent out after earthquake waves arrive until the earthquake waves have no influence on the local; when the early warning level is orange, giving out two times of rapid vibration when the earthquake early warning is started, vibrating once every two seconds in the early warning countdown process, and continuously vibrating for a long time after the earthquake waves arrive until the earthquake waves have no influence on the local; when the early warning level is red, giving out two times of rapid vibration when the earthquake early warning is started, vibrating once every second in the early warning countdown process, and continuously vibrating for a long time after the earthquake waves arrive until the earthquake waves have no influence on the local; in addition, the intelligent wearable device can also perform distinguishing prompt by taking risk avoidance measures according to the motion state of the user when the early warning prompt is combined and the early warning prompt is received, for example, if the hand-lifting gesture of the user indicates that the user pays attention to the early warning, the user does not need to shake; after the early warning information is received, if the movement of the user is increased in the danger avoiding process, stopping the user from shaking; the user can click the screen to end the vibration according to the self condition.
For the intelligent door and window, when the early warning level is orange or red, the house can be damaged or even collapsed in an earthquake area, after the earthquake protection intensity of a building in the area or the earthquake protection intensity manually input by a user is combined, the early warning level threshold value is automatically associated, disaster early warning exceeding the early warning level threshold value is realized, whether the user is at home is identified through intelligent equipment such as intelligent wearable equipment, a camera and a mobile phone to control the intelligent door and window to be automatically opened, if the user is at home, the door and window is automatically opened, if the user is not at home, the door and window is not opened, and meanwhile, a loudspeaker or a buzzer of the intelligent door and window is controlled to give a prompt tone, so that an escape channel is provided for the user, and meanwhile, a rescue channel is also provided for rescue personnel.
Of course, the above examples are response modes of each smart device in an earthquake scene, and in other disaster warning processes such as landslide, debris flow, flood, and the like, the smart devices can respond by analogy with the response modes.
In summary, in the embodiment of the invention, various intelligent sensing devices, intelligent acquisition devices, intelligent response devices and intelligent control devices are interconnected and combined with disaster early warning by an intelligent home technology, so that different disasters can be timely and effectively early warned; early warning priorities are set for various intelligent devices in the house according to the disaster early warning information, and intelligent devices with different positions and different functions have different early warning priorities, so that the intelligent devices can be efficiently controlled to early warn different disasters by fully utilizing the intelligent home technology; furthermore, response priorities are set for multiple response modes of the same intelligent device, and different and reasonable early warning prompts can be performed on users in different states according to disaster early warning information and user information; and finally, the intelligent equipment can be fully and effectively utilized to carry out reasonable disaster early warning on the user by finely dividing and setting the specific early warning response modes of various intelligent equipment, so that the efficiency of the disaster early warning is improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-only memory (ROM), or a Random Access Memory (RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
With further reference to fig. 2, as an implementation of the method shown in fig. 1, the present application provides an embodiment of a disaster early warning system based on an intelligent device, where the embodiment of the disaster early warning system based on an intelligent device corresponds to the embodiment of the method shown in fig. 1, and the disaster early warning system based on an intelligent device may be applied to various electronic devices.
As shown in fig. 2, the disaster early warning system 200 based on the intelligent device according to the present embodiment includes:
a disaster warning information acquisition module 201, configured to acquire disaster warning information;
the disaster early warning information processing module 202 is configured to process the disaster early warning information to obtain a processing result, where the processing result includes disaster-related information;
a user information obtaining module 203, which is used for obtaining user information by a user;
a priority setting module 204, configured to set an early warning priority of the intelligent device based on the disaster-related information and the user information;
and the intelligent device control module 205 is configured to control the corresponding intelligent device to perform disaster early warning according to the user information and the early warning priority.
The disaster early warning system based on the intelligent device provided by the embodiment of the invention can realize each implementation mode in the disaster early warning method based on the intelligent device shown in fig. 1 and corresponding beneficial effects, and is not repeated here for avoiding repetition.
In order to solve the above technical problem, an embodiment of the present invention further provides an electronic device. Referring to fig. 3 in detail, fig. 3 is a schematic diagram of a basic structure of an electronic device according to an embodiment of the invention.
The electronic device 3 comprises a memory 31, a processor 32, and a network interface 33 communicatively connected to each other via a system bus. It is noted that only the electronic device 3 having the components 31-33 is shown in the figures, but it is to be understood that not all of the shown components need be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the electronic device is a device capable of automatically performing numerical calculation and/or information processing according to instructions set in advance or stored in advance, 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 electronic device may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing device. The electronic equipment can be in 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 31 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 31 may be an internal storage unit of the electronic device 3, such as a hard disk or a memory of the electronic device 3. In other embodiments, the memory 31 may also be an external storage device of the electronic device 3, 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 electronic device 3. Of course, the memory 31 may also comprise both an internal storage unit of the electronic device 3 and an external storage device thereof. In this embodiment, the memory 31 is generally used for storing an operating system installed in the electronic device 3 and various application software, such as program codes of a disaster warning method based on an intelligent device. Furthermore, the memory 1 may also be used to temporarily store various types of data that have been output or are to be output.
The processor 32 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor 32 is typically used to control the overall operation of the electronic device 3. In this embodiment, the processor 32 is configured to execute the program code stored in the memory 31 or process data, for example, execute the program code of the disaster warning method based on the intelligent device.
The network interface 33 may comprise a wireless network interface or a wired network interface, and the network interface 33 is generally used for establishing a communication connection between the electronic device 3 and other electronic devices.
The present application further provides another embodiment, which is to provide a readable storage medium storing a disaster early warning program based on a smart device, where the disaster early warning program based on the smart device is executable by at least one processor to cause the at least one processor to execute the steps of the disaster early warning method based on the smart device as described above.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (13)
1. A disaster early warning method based on intelligent equipment is characterized by comprising the following steps:
s1, acquiring disaster early warning information;
s2, processing the disaster early warning information to obtain a processing result, wherein the processing result comprises disaster related information;
s3, acquiring user information;
s4, setting early warning priority of intelligent equipment based on the disaster related information and the user information;
and S5, controlling the corresponding intelligent equipment to perform disaster early warning according to the user information and the early warning priority.
2. The method of claim 1, wherein the smart device is provided with smart device information, the smart device information comprising function class information, response class information and/or location class information, the function class information identifying a function of the smart device, the response class information identifying a response time or a delay time of the smart device for disaster warning, the location class information identifying location information of the smart device.
3. The method of claim 1, wherein the user information comprises user location information, user status information, and time information, and the smart device receives a fetch instruction to fetch the user location information, the user status information, and/or the time information.
4. The method according to claim 3, wherein when a plurality of intelligent devices exist in the early warning range and/or the intelligent devices include a plurality of response modes, the step of setting the early warning priority of the intelligent devices based on the disaster-related information and the user information specifically comprises:
and adjusting the response priorities of the intelligent devices and the priorities of the multiple response modes according to the user information and the position information and by combining the disaster related information.
5. The method of claim 4, wherein the response mode of the smart device comprises a display-class response, a voice-class response, a contact-class response, and a switch-class response.
6. The method of claim 5, wherein the step of adjusting the response priorities of the plurality of intelligent devices and the priorities of the plurality of response modes according to the user information and the location class information in combination with the disaster-related information comprises:
calculating the distance between the room where the corresponding intelligent device is located and the room where the user is located according to the position class information and the user position information of the intelligent device and based on the position information and the user position information of the intelligent device;
setting the response priority of the intelligent devices from high to low according to the distance between the intelligent devices and the room where the user is located; when the user and the intelligent equipment are in the same room, setting the response priority of the distance between the user and the intelligent equipment from near to far as from high to low; and/or
According to the disaster related information, combining with the function type information, the response type information and/or the position type information of the intelligent equipment, adjusting the priority of the intelligent equipment;
specifically, if the smart device includes a plurality of pieces of function class information, the more kinds of function class information, the higher the response priority of the smart device is;
and setting the priority of the response modes of the intelligent equipment from high to low according to the response time or delay time of each response mode of the intelligent equipment from short to long.
7. The method of claim 6, further comprising:
and judging the user state according to the user state information and/or the time information in the user information, and adjusting the response priority and the response mode of the intelligent equipment according to the judgment result.
8. The method of claim 7, further comprising:
and when a high-risk area and/or high-risk equipment exist in the early warning range, the response priority of the intelligent equipment with the response mode of switch response is adjusted to be priority response.
9. The method according to claim 8, wherein the step of determining the user status according to the user status information and/or the time information in the user information, and adjusting the response priority and the response mode of the smart device according to the determination result comprises:
if the user is judged to be in a waking state according to the user state information, calculating the distance between the room where the intelligent device is located and the room where the user is located in real time, and preferentially calling the intelligent device which is located in the same space with the user and is closest to the user to respond;
and if the user is judged to be in the sleep state according to the user state information, preferentially calling the intelligent equipment with the sound type response in the same space as the user to respond.
10. The method according to claim 9, wherein the step of determining a user status according to the user status information and/or the time information in the user information and adjusting the response priority and the response mode of the smart device according to the determination result further comprises:
and if the time information is at night, controlling the intelligent equipment with the lighting function and switch response in the same space with the user to respond according to the user position information preferentially no matter which state the user is in.
11. The utility model provides a calamity early warning system based on smart machine which characterized in that includes:
the disaster early warning information acquisition module is used for acquiring disaster early warning information;
the disaster early warning information processing module is used for processing the disaster early warning information to obtain a processing result, and the processing result comprises disaster related information;
the user information acquisition module is used for acquiring user information;
the priority setting module is used for setting the early warning priority of the intelligent equipment based on the disaster related information and the user information;
and the intelligent equipment control module is used for controlling the corresponding intelligent equipment to carry out disaster early warning according to the user information and the early warning priority.
12. A computer device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the intelligent device based disaster warning method according to any one of claims 1 to 10 when executing the computer program.
13. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the intelligent device-based disaster warning method according to any one of claims 1 to 10.
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