CN112863102A - Method and device for detecting fire hazard - Google Patents
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Abstract
The present invention relates to an apparatus, system, method and related computer program product for detecting a fire hazard. The disclosed embodiment of the invention provides a method and a device for detecting fire hazard in a kitchen, which comprises the following technical scheme: the method comprises the following steps of determining the opening or closing of a stove by adopting a wireless sensor (or a camera); detecting the movement of the human body by adopting a human body sensor or other detection devices; comparing the unattended time with a preset time threshold value to determine whether to send out an alarm or not.
Description
Technical Field
The present invention relates to a fire protection device, system, method, sensor and related computer program product for detecting a fire hazard. And more particularly to hazard detection, analysis, alerts and user interfaces related thereto for possible kitchen fires.
Background
The fire refers to a disaster caused by combustion that is out of control in time and space, and among various disasters, the fire is one of the main disasters that threaten public safety and social development most often and most generally. In the united states, the fire department will process a fire alarm for a home fire every 24 seconds. According to the United States Fire Reporting System's National Fire Incorporation Reporting System (NFIRS) and the National Fire protection Association NFPA annual Fire research, the U.S. 2014 lost Fire $ 3285 billion, accounting for 1.9% of the U.S. National GDP. According to NFPA statistics, 9.7 people die from fire every 1 million people. According to the statistics of fire rescue bureau of emergency management of China, 23.7 thousands of fires, 1407 deaths and 798 injuries are reported in 2018 all China, and 36.75 million yuan RMB of direct property loss is counted. The amount of the fire is 21.5 percent caused by careless fire for life. The trend of rapid urbanization development is raised in China, a large amount of agricultural population and land are transformed into non-agricultural urbanization, urban residents in China are also transformed from a relatively dispersed low-density living form into a relatively concentrated high-density living form, with the rapid rise of the land price of urban residences, residential buildings are transformed into three-dimensional development, and high-rise buildings grow up like spring shoots after rain. Once a fire disaster occurs in the high-rise buildings, the fire fighting difficulty is high, and a large amount of casualties are easily caused.
People increase the investment in fire prevention and extinguishment, and thousands of fire extinguishing equipment are developed and produced. Newly-built buildings, especially public buildings, have to be installed with fire-fighting facilities according to the national standard, for example, the national theater has installed the most advanced domestic fire-fighting facilities, wherein there are seven thousand temperature sensing probes, twenty thousand shower heads, and also remote control water cannon and water curtain, etc. In order to ensure the fire-fighting facilities to be in place, huge funds are invested in all aspects. But big and small fires continue to occur every year. One important reason is that temperature and smoke probes have fatal weaknesses, and the sensitivity of the temperature and smoke probes is difficult to adjust accurately: the probe is too sensitive and is easy to be mistakenly reported, and a user usually closes the probe; the sensitivity is too low, the reaction is too slow, the fire can not be immediately detected, and the fire can be detected only after the fire spreads, the temperature rises and the smoke increases. From the occurrence of a fire to the reporting of a fire alarm, the fire truck is driven to reach the scene for extinguishing fire in 10-30 minutes at the fastest speed, however, the speed of fire spread is increased gradually and extremely fast, the fire is formed within 30 minutes, and the loss is also caused. The existing automatic fire extinguishing device adopts a temperature probe and a smoke probe, can be detected only by burning fire, and can also report to a master control room, and personnel in the master control room can start the automatic fire extinguishing device by clicking with a mouse, so that the automatic fire extinguishing device can work, and the time difference is long and untimely. Furthermore, although fire extinguishing with water is a simple method which is used conventionally, tens of thousands of spray headers are installed in one building, so that the construction is large, the manufacturing cost is high, and particularly, the maintenance after twenty years is more difficult.
U.S. fire and fire codes require the installation of smoke detectors in bedrooms. In the united states, for example, approximately one-third of smoke detectors are inoperable. More than half of the non-functioning smoke detectors are due to the batteries being manually removed. Studies have shown that the main cause of the loss of the battery is the false alarm caused by the owner of the household in order to prevent a controlled flame, such as smoke from cooking. Other false positives also include moisture emitted from the bathroom after a person has taken a shower, dust or debris stirred up during cleaning, or steam emitted from the kitchen. The united states department of fire protection deals with 172,100 each year in 2012 and 2016 averagely due to a household fire caused by cooking in the kitchen, on average 471 per day. The main reason for kitchen fire and personal casualties is that no one can watch or forget to turn off the fire source for a long time. Forgetting to shut down fire when the elderly people living alone or at home cook in China is also an important cause of fire and casualties. Sometimes the cook is careless when cooking and frying, and leaves the kitchen without turning off the fire, causing the oil pan to catch fire and spread along the oil smoke pipeline, causing fire. Because smoke detectors are highly sensitive, kitchen fumes can often cause false alarms, so most households do not install smoke detectors in the kitchen. Another problem is that the time from the onset of a fire, smoke formation to the time the smoke drifts to the smoke detector is required, which also causes the gold time to extinguish the fire to be missed.
The non-contact infrared camera can also be used for a thermal infrared imager for fire monitoring, can measure abnormal temperature change and identify suspected fire (including fire hidden dangers), and helps a user to realize early warning and alarm of fire prevention. Thermal infrared imagers, however, are relatively expensive, ranging from $ 10,000 to $ hundred thousand. The thermal imaging instrument with over 640X480 pixels belongs to military instruments, is controlled by the export of the U.S. government, and cannot be widely applied to civil production and life fire prevention. The fire video detection is a fire detector based on an image processing technology, a camera is used for monitoring the scene of a monitoring point, and the captured video information is processed and analyzed, so that the fire flame is detected. Although domestic experts have developed certain research and development work on video fire flame detection methods in recent years, mature technologies are rarely applied, and corresponding products are rarely produced. CN104299351B uses intelligent early warning fire-extinguishing robot, and the cost is too high with the cost, is not suitable for the family to use.
Disclosure of Invention
To overcome the problems of the related art and to overcome the high cost problems of other solutions, toThe disclosed embodiment of the invention provides a method and a device for detecting the hidden danger of fire before the fire happens, wherein the technical scheme is as follows: a wireless sensor is adopted to sense whether a switch knob of a kitchen stove is turned on or not; detecting whether a person exists by adopting a human body sensor or other detection devices and calculating the unattended time t after the cooking range is started; comparing the time t with a time threshold t set in advance0To decide whether to issue an alarm. The technical core of the invention is to detect the hidden danger of fire instead of a fire extinguishing device.
According to a first aspect of the disclosed embodiments there is provided an apparatus for detecting a fire hazard from a known heat source (kitchen range), comprising:
the wireless sensor is used for sensing whether a switch knob of the kitchen stove is turned on or not;
a human body sensor or other sensors for detecting whether a person is in the detection area, for detecting a human body or a movement of the human body;
a processing system configured to decide whether there is a fire hazard and issue an alarm based on the temperature measured by the temperature sensor and the obtained human body sensing information;
a communication module;
a power source.
The wireless sensor is characterized in that whether a kitchen stove switch knob is turned on or not can be determined. The wireless sensor may be one or more of the following:
the wireless knob magnetic sensor is characterized by comprising a magnet and a reed switch, and when the knob rotates to drive the magnet to leave the reed switch for a certain distance, the wireless knob magnetic sensor immediately transmits a high-frequency radio signal to report that a switch knob of a fire-proof device stove is turned on;
an angle sensor, characterized in that it can detect the rotation angle of the knob to determine whether the stove is on;
a temperature sensor, characterized in that the temperature sensor can determine whether the heat source is on by measuring the surface temperature in comparison with a temperature threshold set in advance;
and the wireless camera with the computer vision algorithm is characterized in that the camera can determine the rotation angle of the knob through the shot switch knob picture and the computer vision algorithm.
Wherein the processing system is further configured to:
determining the heat source to be turned on or off according to the condition of a stove knob switch;
determining whether there is a person in a case that the kitchen range is opened, based on the sensing of the human body or the human body movement;
calculating the length of time t during which the kitchen is unattended with the stove on;
comparing the time t with a predetermined time threshold t0To decide whether to issue an alarm.
The processing system may also be configured with the following functionality:
recording the total cooking time t after the stove knob is turned on1；
Comparing said time duration t1And a time threshold t2To determine whether to issue an alarm;
the default settings for the temperature threshold and time threshold described above may be through machine learning user feedback and configuration.
In some embodiments, the wireless sensor and the body sensor may be within a single device housing. In other embodiments, the human body sensor and the temperature sensor can be in different device shells, and information and data exchange can be transmitted through the communication module. The device for detecting fire hazard may comprise one or more user interfaces, which may be user interfaces of electronic display screens mounted on the device, or connected to other user interfaces via a communication module, including a mobile terminal such as a mobile phone, a computer or a smart speaker. The user may configure the settings of the device, such as temperature thresholds, time thresholds, etc., through the various user interfaces described above.
The human body sensor can be a human body pyroelectric infrared sensor (PIR sensor), a microwave sensor, an ultrasonic mobile sensor or a combination of the sensors. The human body sensor can also be a wireless camera and is matched with a computer vision algorithm to determine whether people exist in a kitchen and the unattended time length.
A wireless knob magnetic sensor may be used with the wireless sensor embodiment of the present invention, characterized in that the magnet may be mounted in a range switch knob which may be used to replace an existing knob. The other option is that the magnet is a magnet adhesive tape which is attached to the surface of the existing knob.
Some embodiments of the present invention may also use a camera in conjunction with a computer vision algorithm to determine the flame of the gas range to determine whether the range is on. The type and the volume of the used cookware can also be judged by using the camera in cooperation with a computer vision algorithm, and the obtained information is used for determining to use the corresponding preset time threshold t0。
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
the fire hazard caused by unattended operation of heat sources (a cooking range, a heater and the like) is discovered in time, and the early warning of fire prevention is realized for a user;
the cost of the knob magnetic sensor and the PIR human body pyroelectric infrared sensor is low, so that the cost is greatly reduced;
the accuracy of detection is improved and false alarms are reduced through machine learning.
The technical scheme provided by the invention can have the following beneficial effects:
the fire hazard is found in time, and the early warning of fire prevention is realized for the user;
each device has independent numbering and registration information, so that digital positioning and management are facilitated;
compared with the traditional mode, the cost is greatly reduced, and the cost performance is higher than that of a fire monitoring system with pure infrared thermal imaging;
make up for the deficiency of the smoke detector;
more intelligent and convenient service is provided through the user interface of the mobile terminal or the intelligent sound box, and the user interface of the mobile terminal can realize remote real-time monitoring on site and is convenient for knowing and mastering specific conditions.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Further aspects of the present technology will be presented in the following sections of the specification, wherein the detailed description is for the purpose of fully disclosing preferred embodiments of the technology without placing limitations thereon.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. The technology described herein will be more fully understood by reference to the following drawings, which are for illustrative purposes only.
FIG. 1 is a block diagram illustrating a schematic structure of an apparatus according to an exemplary embodiment.
Fig. 2 is a diagram illustrating a kitchen application according to an exemplary embodiment.
FIG. 3 is a flow chart illustrating a method of fire hazard detection according to an exemplary embodiment.
FIG. 4 is a schematic diagram illustrating a wireless sensor mounted on an existing knob according to an exemplary embodiment.
FIG. 5 is a schematic view of a wireless sensor replacing an existing stove knob shown in accordance with an exemplary embodiment.
FIG. 6 is a flow chart illustrating the use of a camera and computer vision to detect knob position according to an exemplary embodiment.
FIG. 7 illustrates the use of a camera and computer vision to determine temperature thresholds for different cookware according to another exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims. It will be appreciated that the methods may vary as to the specific steps and sequences, and the apparatus may vary as to the elements and configurations, without departing from the basic concepts as disclosed herein. Method steps are merely illustrative of the order in which these steps may occur. The steps may occur in any desired order such that they still perform the objectives of the claimed technology.
FIG. 1 is a block diagram illustrating a schematic structure of an apparatus according to an exemplary embodiment.
The disclosed embodiments provide a functional block diagram of a fire prevention device. As shown in fig. 1, the device comprises a wireless sensor 101, a human body sensor 102, a microprocessor (processing system) 103, a communication module 106 and a power supply 105. The user interface 104 of the device may be an electronic screen 107 mounted on the device, or a separate speaker 108, a mobile terminal 109 such as a mobile phone, a computer or a smart voice user interface such as a smart speaker 110, etc.
The wireless sensor 101 for detecting whether the stove knob is on may be one of the following:
a knob magnetic sensor 107 (operating in a similar manner to a door magnetic sensor) characterized by comprising a magnet and a reed switch, wherein when the knob is rotated to bring the magnet away from the reed switch by a certain distance, the wireless knob magnetic sensor immediately transmits a high-frequency radio signal to report that the switch knob of the fire protection device stove is turned on;
an angle sensor 108, characterized in that it can detect the knob rotation angle to determine whether the stove is on;
the wireless camera 109 with computer vision algorithm is characterized in that the camera can determine the rotation angle of the knob through the shot picture of the switch knob and the computer vision algorithm;
a temperature sensor 110, characterized in that it is possible to determine whether the heat source is on by measuring the surface temperature of the range or cooker by means of a temperature sensor in comparison with a previously set temperature threshold.
The human body sensor 102 may be one or more of the following sensors: a human Pyroelectric Infrared Sensor 111(Pyroelectric Infrared Sensor), a microwave Sensor (microwave sensors), an ultrasonic mobile Sensor (ultrasonic capacitive detector), or a combination of the above sensors. In some embodiments, the visible light camera 112 may also be used to detect whether a person or body is moving. According to the disclosed implementation, the fire protection device for detecting fire hazards can also perform data transmission and information sharing with any other smart home devices, as well as any central server or cloud computing system or any other device connected to a network anywhere in the world, through the communication module 106. The required data communication may be performed using any of a variety of custom or standard wireless protocols (Wi-Fi, ZigBee, 6LoWPAN, Z-Wave, etc.) and/or any of a variety of custom or standard wired protocols (CAT6 ethernet, power CAT, etc.). The power supply 105 may be a utility or local battery, including a rechargeable battery. The rechargeable battery can be used either as a regular back-up power source or as a battery that supplies excess dc power for a short period of time when needed.
In some embodiments, a user may interact-receiving user instructions or conveying information to the user-through a user interface and speakers of an electronic screen on the device. In still other embodiments, the user interface 104 of FIG. 1 may also allow a user to interact with the device even if the user is not proximate to the device. For example, a user may use an electronic screen 107 of a computer (e.g., desktop, laptop, or tablet) or other portable electronic device (e.g., smartphone) mobile terminal 109 to communicate with the apparatus. The web page or application may be configured to receive a communication from the user (e.g., fire hazard raising an alarm) and based on the communication give feedback-an alarm is received, ignoring the alarm and even including remotely controlling the device causing the fire hazard (e.g., stove). The device output information 111 (information accepted by the user) may include a fire hazard warning, an early fire warning, a recommendation to remove a fire hazard, and a prompt for a user to enter an instruction. The user may configure the input information 112 of the device through the user interface, such as temperature thresholds and time thresholds required for an alarm, or use default values. The user can feed back to the device through the user interface-different options such as that an alarm has been received or that this alarm is ignored. In other embodiments, the user interface 104 of FIG. 1 may also be a voice-controlled smart voice assistant (e.g., smart speaker 110). The processing system 103 in an embodiment comprises one or more processors. The processing system analyzes the temperature and change measured by the temperature sensor and the information whether a person is present or not obtained by the human body sensor 102. The embodiment can be used for detecting the unattended scene of the kitchen cooking bench and can also be used for the situation that a user forgets to turn off the heater.
Fig. 2 is a schematic diagram illustrating an application in a kitchen according to an exemplary embodiment.
As shown in the embodiment of fig. 2, the fire protection device 200 for detecting a fire hazard includes a knob magnetic sensor 201, a human body sensor 203, and a range knob 202 having a magnet. When the user turns the stove knob 202 to strike fire and use the stove, and when the magnet leaves the reed pipe for a certain distance, the wireless knob magnetic sensor immediately transmits a radio signal (knob is opened) to report to the fireproof device 201, and the user starts to calculate the cooking time t by using the stove timer1. The human body sensor 203 in the embodiment faces the space (kitchen) where the user is located, and can sense whether a person enters the space or any movement of the human body in the space. The fire protection device 200 may calculate an unattended time after the cooktop knob 201 is opened, and if the unattended time of the cooktop exceeds a predetermined time threshold, the fire protection device detecting the potential fire hazard may be prompted by a device speaker, a mobile terminal (cell phone) 205, or an artificial intelligence speaker alert 206. In some embodiments, the camera 204 may take a picture and upload a short video to the cloud to remind the user to browse to determine the effectiveness of the alarm. The camera can also be added with an object recognition function for recognizing the type of the cooker and the volume thereof and setting different temperature thresholds. The camera also combines computer vision algorithm to judge whether the stove is used or whether people are in the monitored range, thereby helping to determine the unattended condition. Unattended time counting if the user returns to the kitchen within a predetermined time thresholdThe timer will restart timing. The fire protection device 200 for detecting a fire hazard may also calculate the total time of use and unattended time of the range. After receiving the alarm, the user can feed back the received information or cancel the alarm prompt through the user interface, the mobile phone 205 or the artificial intelligence sound box 206. In one embodiment, the user may also issue an instruction through the smart speaker 206 or the cell phone 205 application, such as saying "i am ready to stew the ribs for two hours" to the smart speaker. Two hours in the order may be set by the processing system as a time threshold for the total length of time the range is in use.
FIG. 3 is a flow chart illustrating a method of fire hazard detection according to an exemplary embodiment.
As shown in an embodiment flowchart 300 of FIG. 3, in this embodiment it is first detected whether the stove knob is turned on by one or more means:
magnetic knob sensor 301
Angle sensor 302
Camera 303
Temperature sensor 304
If the embodiment uses the above certain means to determine that the stove knob is open, the fire protection device starts to count the cooking time. If the total cooking time t1Exceeds a predetermined time threshold t2The device sends an alarm that the total cooking time is too long. The human body sensor is used for detecting the human body activity in the kitchen to determine whether a person is in the kitchen. If the sensor detects that the kitchen is unattended, the timer will start to time the unattended time t. If the body sensor detects body activity, the timer will reset. If the unattended time t is larger than the preconfigured time threshold t0The system may determine that the heat source (range) is unattended and send an alarm. The time threshold value can be determined by different cookers and capacities thereof, and can also be recommended by intelligent analysis and learning of the use habits of users.
FIG. 4 is a schematic diagram illustrating a wireless sensor mounted on an existing knob according to an exemplary embodiment.
The embodiment shown in fig. 4 shows a three-dimensional view of a wireless knob magnetic sensor 403 and magnet tape 402 mounted on an existing stove knob 401. A magnet tape 402 or magnet sticker is adhered to the existing stove knob 402 on the side of the knob adjacent to the wireless knob magnetic sensor 403. When the user turns the knob 401, the magnetic tape 402 leaves the reed switch inside the wireless knob magnetic sensor 403, and the wireless knob magnetic sensor 403 transmits a radio signal to the fire protection device to report that the range is open. When the user turns the range to turn off the heat source, the magnet tape returns to the initial position, and the knob magnetic sensor transmits a radio signal to the fire protection device to report the range is turned off. The magnet tape tri-view of fig. 4 shows that the magnet tape is split into 3 layers-the outermost layer 404 may be a color or pattern that is consistent with the appearance of existing stove knobs, such as white, black, stainless steel grain colors, etc.; the middle layer is a magnet layer to ensure enough magnetic force; the bottom layer 406 is an adhesive layer that is adhered to the surface of the existing stove knob. This embodiment does not require replacement of the stove knob. The knob magnetic sensor may be mounted above, to the side of, or below the knob.
FIG. 5 is a schematic view of a wireless sensor replacing an existing stove knob according to an exemplary embodiment
The embodiment shown in fig. 5 shows a schematic view of a wireless sensor replacing the existing stove knob design. This embodiment is characterized in that the magnet 504 is mounted on or in the knob 502 of a new range so that the magnet portion is not visible from the external appearance, ensuring the external aesthetic appearance of the range. The exterior of the wireless magnetic knob sensor 503 may also be color and style to ensure the same appearance as the knob. The rotary adapter 501 may be exchanged for a suitable opening for a different brand of stove knob switch metal shaft. The knob magnetic sensor 503 may be mounted above, to the side of, or below the knob. The knob magnetic sensor 503 is attached to the side where the magnet is provided when the knob is secured to be closed. Fig. 5 shows only one design of an alternative knob.
FIG. 6 is a flow chart illustrating the use of a camera and computer vision to detect knob position according to an exemplary embodiment.
The embodiment provides a flow chart for detecting the position of a knob by applying a camera and a computer vision algorithm. As shown in fig. 6, the camera facing the stove knob first takes a picture of the stove knob. The camera applies computer vision algorithms to obtain the angle between the knob switch indicator line and the horizontal line on the surface of the stove and measures the size of the angle. The difference between the measured angle and the range knob closing angle is compared, and if the difference is greater than the error set value, the fire protection device reports that the knob is opened.
FIG. 7 is a schematic diagram illustrating an application of a camera and computer vision to determine temperature thresholds for different cookware, according to another exemplary embodiment.
As shown in the embodiment of fig. 7, the fire protection device includes a wireless knob magnetic sensor 706, and a visible light camera 705. The visible light camera 705 may use a computer vision object recognition algorithm to determine the cookware type and its capacity, and may also be used to determine if someone is within the camera's field of view. Different classes and volumes of cookware may use different temperature alarm thresholds. For example, the time threshold for a small size pan may be less than the time threshold for a large size stockpot. The size of the knob opening is another factor. The method shown in the schematic diagram of fig. 6 may help determine the knob turn-on size.
In some embodiments, the visible camera 705 may also identify flammable items beside the heat source (range), such as the roll paper 707, through a self-contained or cloud-based object identification module. If the identified combustible substance is too close to the heat source, the fire protection device may notify the user through a user interface, such as smart sound box 708.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims. It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A fire protection device for detecting a fire hazard, comprising:
the wireless sensor is used for sensing whether a switch knob of the kitchen stove is turned on or not;
a body sensor or other body detection device for detecting a body or body movement;
a processing system configured to decide whether there is a fire hazard and issue an alarm based on whether the obtained range knob is turned on and the human body sensing information;
a communication module;
a power source;
wherein the processing system is further configured to:
determining the on or off of a heat source according to the condition of a knob switch of the stove;
determining whether a person is present or not under the condition that the kitchen stove is opened according to the induction of the human body or the human body movement;
calculating the unattended time length t of the kitchen under the condition that the cooking range is opened;
comparing the unattended time t with a preset time threshold t0To decide whether to sound a fire hazard alarm.
2. The sensor of claim 1, wherein it is determined whether a kitchen range switch knob is turned on; the wireless sensor may be one or more of the following:
the wireless knob magnetic sensor is characterized by comprising a magnet and a reed switch which are arranged on a knob, and when the magnet leaves a certain distance from the reed switch, the wireless knob magnetic sensor immediately transmits a radio signal to report that a switch knob of a fire protection device stove is turned on;
a wireless angle sensor, characterized in that the sensor can detect the rotation angle of the knob to determine whether the range is on;
the wireless temperature sensor is characterized in that the temperature sensor can determine whether the heat source is started or not by comparing the measured surface temperature with a preset temperature threshold value;
the wireless camera with the computer vision algorithm is characterized in that the camera can determine the rotation angle and the opening condition of a knob through a shot switch knob picture and the computer vision algorithm.
3. The human body sensor of claim 1 may be a human body pyroelectric infrared sensor (PIR sensor), a microwave sensor, an ultrasonic motion sensor, or a combination of more than one of the above sensors.
4. The wireless sensor of claim 1, wherein the magnet is mounted in a range switch knob that can be used to replace an existing knob. The other option is that the magnet is magnet adhesive tape which is attached to the surface of the existing knob.
5. The fire protection device of claim 1, wherein a camera is used to capture real-time images and/or videos of the range and send the images to a cloud for notification to a user and confirmation of alarm validity by the user.
6. The processing system of claim 1 further configured with the following functionality:
recording the total cooking time t after the knob of the stove is turned on1；
Comparing the time lengths t1And a preset time threshold t2To decide whether to send out an alarm for reminding the cooking time to be too long;
the default settings for the temperature threshold and time threshold described above may be through machine learning user feedback and configuration.
7. Fire protection device according to claim 1, characterized in that a camera is used in conjunction with a computer vision algorithm to obtain and provide to the fire protection device for decision making one or more of the following:
the cookware category and its capacity used are judged by capturing the cookware image by the camera, and the obtained information is used for deciding to use the corresponding preset time threshold t0And a time threshold t2；
Capturing images/videos around the stove through a camera to determine whether people exist in a kitchen or not and calculating the unattended time length of a heat source (the stove and the like) through detection of whether people exist or not;
capturing flames of a stove image through a camera to determine whether the stove is started;
the periphery images of the stove are captured through the camera to find inflammable materials nearby the stove.
8. A fire protection device according to claim 1, wherein the user interface may comprise an electronic display screen or be connected to other user interfaces (including mobile terminals, computers or smart voice user interfaces) via a communication module, wherein the user interfaces are configurable as follows:
the user can set and modify any temperature threshold (if the temperature sensor is adopted to judge the heat source is started);
the user can set and modify any time threshold;
receiving alarm information;
canceling or determining the alarm information.
9. A wireless sensor for detecting fire hazard is characterized by comprising
A magnet, characterized in that the magnet is arranged on or in the knob of the stove;
the wireless sensor immediately transmits a radio signal to report that the stove switch knob is turned on after the magnet leaves the reed switch for a certain distance;
a communication module;
a power source.
10. A method for detecting a fire hazard, the method comprising:
the wireless sensor is used for sensing whether a kitchen stove switch knob is turned on or a heat source is turned on or off;
a body sensor or other detection means for detecting a body or body movement;
a processing system configured to decide whether there is a fire hazard and issue an alarm based on whether the obtained range knob is turned on and the human body sensing information;
determining the on or off of a heat source according to the condition of a knob switch of the stove;
determining whether a person is present or not under the condition that the kitchen stove is opened according to the induction of the human body or the human body movement;
calculating the unattended time length t of the kitchen under the condition that the cooking range is opened;
comparing the unattended time t with a preset time threshold t0To decide whether to sound a fire hazard alarm.
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|---|---|---|---|
| CN201911164899.XA CN112863102A (en) | 2019-11-27 | 2019-11-27 | Method and device for detecting fire hazard |
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| CN201911164899.XA CN112863102A (en) | 2019-11-27 | 2019-11-27 | Method and device for detecting fire hazard |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114495410A (en) * | 2022-01-04 | 2022-05-13 | 北京金山云网络技术有限公司 | Smoke alarm method and device, electronic equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114495410A (en) * | 2022-01-04 | 2022-05-13 | 北京金山云网络技术有限公司 | Smoke alarm method and device, electronic equipment and storage medium |
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