CN111061163A - Household furniture fire control system, method and device based on Internet of things - Google Patents
Household furniture fire control system, method and device based on Internet of things Download PDFInfo
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- 230000006698 induction Effects 0.000 claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 45
- 238000009423 ventilation Methods 0.000 claims abstract description 35
- 230000017525 heat dissipation Effects 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 15
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- 239000003517 fume Substances 0.000 claims description 4
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- 238000005507 spraying Methods 0.000 claims description 3
- 230000005679 Peltier effect Effects 0.000 abstract description 2
- 230000003321 amplification Effects 0.000 abstract description 2
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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Abstract
The invention belongs to the technical field of household furniture fire control, and discloses a household furniture fire control system, a household furniture fire control method and a household furniture fire control device based on the Internet of things, wherein the household furniture fire control system based on the Internet of things comprises the following components: the intelligent monitoring system comprises a video monitoring module, a temperature sensing module, a humidity detection module, a smoke detection module, a signal processing module, a main control module, a driving module, a water sprinkling and heat dissipation module, a ventilation and smoke exhaust module, a switch master control module, an early warning module, a data storage module, a communication module, a terminal module and a display module. The invention can provide electric energy for the controller when the power is off through the Peltier induction device, can also enable the controller to master the stable conditions of all places in real time, provides details for a user to master the indoor fire, generates temperature difference through the upper Peltier element and the lower Peltier element, generates current by using the Peltier effect, and provides enough electric energy for the whole security system under the condition of power failure through the power amplification circuit, thereby controlling the work of the indoor functional device.
Description
Technical Field
The invention belongs to the technical field of household furniture fire control, and particularly relates to a household furniture fire control system, method and device based on the Internet of things.
Background
Currently, the closest prior art: along with the improvement of living standard and the acceleration of industrialized process of people, the requirements of people on the living environment of a family are higher and higher, the intelligent home is born by the operation, the intelligent home is embodied in an internet of things way under the influence of the internet of things, the intelligent home connects various devices in the house together through the internet of things technology to provide multiple functions and means such as household appliance control, illumination control, curtain control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating and ventilation control, infrared forwarding, programmable timing control and the like, in various uses of the intelligent home, the security system is the most convenient and most used one, and from the security perspective, the intelligent home security system can realize the grade defense arrangement of alarm points of the house security, adopt logic judgment to avoid the false alarm of the system, the defense arrangement and the defense withdrawal of a remote controller or a keyboard to the system, alarm occurs, and automatically confirm the alarm information, and automatically confirm the, The management system can receive signals through an alarm controller installed in a resident room so as to quickly receive alarm, and the alarm linkage control can automatically turn on indoor lighting, start an alarm and the like when the system sends alarm information outwards when the alarm occurs indoors.
Present security protection intelligent furniture all adopts domestic power equipment, cause the circuit paralysed very easily when taking place the condition of a fire in the house, the emergence circuit fires even and leads to the fact bigger intensity of a fire, intelligent security protection system can only work a period of time and can't exert its real effect at all, if the fire source just takes place on the circuit, that intelligent system will lose effect from the beginning, lead to the user can not in time discover the conflagration, kill the conflagration at the bud state, lead to the intensity of a fire increase, bring the life potential safety hazard for the family.
In summary, the problems of the prior art are as follows: the existing security intelligent furniture adopts household electrical equipment, so that line paralysis is easily caused when fire occurs at home, a user cannot find out a fire in time, even a circuit is generated to cause a larger fire, and the potential safety hazard of life is brought to the family.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a household furniture fire control system, a household furniture fire control method and a household furniture fire control device based on the Internet of things.
The invention is realized in such a way, and the household furniture fire control method based on the Internet of things is characterized by comprising the following steps:
firstly, carrying out fire protection monitoring on household furniture through a fire protection camera device; monitoring the temperature change condition of the surface of the household furniture through a Peltier induction device, and transmitting the detected temperature information to a signal processor; and provides electric energy for the system when the power is cut off;
detecting humidity information around the furniture through a humidity sensor, and transmitting the detected humidity information to a signal processor; detecting smoke concentration information around the furniture through a smoke detection device, and transmitting the detected smoke concentration information to a signal processor;
thirdly, receiving the information transmitted by the Peltier induction device, the humidity sensor and the smoke detection device through the signal processor, processing the information and transmitting the processed information to the main controller; the normal work of the household furniture fire control system is controlled by the main controller;
step four, receiving a driving instruction of the main controller through the driving device and driving the operation of the water sprinkling and heat dissipation device and the ventilation and smoke exhaust device; the sprinkling heat dissipation module is connected with the main control module and used for dissipating heat of the furniture through the sprinkling heat dissipation device;
fifthly, ventilation and smoke exhaust of the furniture are performed through a ventilation and smoke exhaust device; the switching-off of the household power supply master control switch is controlled through a switch master control program when an abnormal condition occurs; carrying out early warning on abnormal conditions through an audible and visual alarm device and a voice broadcasting device;
step six, storing real-time data of the fire-fighting monitoring video, temperature information, humidity information, smoke concentration information and early warning information of the furniture through a cloud server;
step seven, data transmission is carried out through a wireless transmission device; the real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture are sent to the mobile terminal through the cloud server;
and step eight, displaying real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture through a high-definition display screen.
Further, in the first step, the method for monitoring the temperature change condition of the surface of the household furniture by the peltier sensing device comprises the following steps:
establishing an environment multipoint temperature fusion model;
converting the temperature values detected by the Peltier sensing devices into fuzzy numbers through an environment multipoint temperature fusion model, and defining the support degree and the grey correlation degree of the temperature fuzzy numbers of every two Peltier sensing devices;
and constructing a support degree matrix and a gray correlation degree matrix, and calculating the values of the temperature fusion model of the plurality of detection points.
Further, the method for calculating the values of the multiple detection point temperature fusion models comprises the following steps:
the support degree of the fuzzy number of each detection point Peltier induction device accounts for the support degree of the fuzzy number of the whole environment detection point Peltier induction device, and the ratio of the support degree of the fuzzy number of each detection point Peltier induction device is the support degree fusion weight of the detection value of the detection point Peltier induction device;
the ratio of the average gray relevance degree of the fuzzy number of each detection point Peltier induction device to the average gray relevance degree sum of the fuzzy number of the whole environment detection point Peltier induction device is the gray relevance degree fusion weight of the detection value of the detection point Peltier induction device;
the linear combination of the support degree fusion weight and the gray correlation degree fusion weight of each detection point is a combined weight of fusion of Peltier induction device values of the detection points, and the sum of the products of the combined weights of fusion of the Peltier induction device values of the detection points and the Peltier induction device values of the environment is a value of a fusion model of the temperatures of the plurality of detection points of the environment.
Further, in the third step, the method for receiving and processing the information transmitted by the peltier sensing device, the humidity sensor and the smoke detection device through the signal processor is as follows:
1) the signal processor provides a plurality of nodes and controls the plurality of nodes to receive temperature signals, humidity signals and smoke concentration signals transmitted by the Peltier induction device, the humidity sensor and the smoke detection device;
2) comparing the received signal with a sample signal, calculating a similarity value and a global weight of each node, and calculating a global similarity value according to the similarity value and the global weight of each node;
3) and judging the sample signal which is most similar to the received signal according to the global similarity value so as to determine the type of the received signal.
Further, the calculation method of the global similarity value is as follows:
wherein i is a positive integer and is less than or equal to the number of types of the sample signals, K is a positive integer and is less than or equal to the number K, G of the nodesiIs the global similarity value, omega, corresponding to the ith sample signali,kThe global weight, T, for the kth nodei (k)The similarity value for the kth node.
Further, the calculation method of the similarity value is as follows:
wherein i is a positive integer and is less than or equal to the number of types of the sample signals, k is a positive integer and is less than or equal to the number of the nodes, si(n)For the sample signal of the ith kind, x(k)(n) is the received signal of the kth node.
Another object of the present invention is to provide an internet of things-based home furniture fire control system implementing the internet of things-based home furniture fire control method, the internet of things-based home furniture fire control system including:
the video monitoring module is connected with the main control module and is used for carrying out fire control monitoring on household furniture through the fire control camera device;
the temperature sensing module is connected with the main control module and used for monitoring the temperature change condition of the surface of the household furniture through the Peltier sensing device and transmitting the detected temperature information to the signal processor; and provides electric energy for the system when the power is cut off;
the humidity detection module is connected with the main control module and used for detecting the humidity information around the furniture through the humidity sensor and transmitting the detected humidity information to the signal processor;
the smoke detection module is connected with the main control module and used for detecting smoke concentration information around the furniture through the smoke detection device and transmitting the detected smoke concentration information to the signal processor;
the signal processing module is connected with the main control module and used for receiving the information transmitted by the Peltier induction device, the humidity sensor and the smoke detection device through the signal processor, processing the information and transmitting the processed information to the main control module;
the main control module is connected with the video monitoring module, the temperature sensing module, the humidity detection module, the smoke detection module, the signal processing module, the driving module, the water sprinkling and heat dissipation module, the ventilation and smoke exhaust module, the switch master control module, the early warning module, the data storage module, the communication module, the terminal module and the display module and is used for controlling the normal work of each module through the main controller;
the driving module is connected with the main control module and used for receiving a driving instruction of the main control module through the driving device and driving the operation of the water spraying and heat dissipating device and the ventilation and smoke discharging device;
the sprinkling heat dissipation module is connected with the main control module and used for dissipating heat of the furniture through the sprinkling heat dissipation device;
the ventilation and smoke exhaust module is connected with the main control module and is used for performing ventilation and smoke exhaust on the furniture through the ventilation and smoke exhaust device;
the switch master control module is connected with the main control module and is used for controlling the turning-off of the household power supply master control switch when an abnormal condition occurs through a switch master control program;
the early warning module is connected with the main control module and is used for early warning the abnormal conditions through the sound-light alarm device and the voice broadcasting device;
the data storage module is connected with the main control module and used for storing real-time data of fire monitoring videos, temperature information, humidity information, smoke concentration information and early warning information of the furniture through the cloud server;
the communication module is connected with the main control module and is used for transmitting data through the wireless transmission device;
the terminal module is connected with the main control module and used for sending the real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture to the mobile terminal through the cloud server;
and the display module is connected with the main control module and used for displaying real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture through a high-definition display screen.
Another object of the present invention is to provide an internet of things-based home furniture fire protection control device using the internet of things-based home furniture fire protection control system, including:
the device comprises a heat insulation box, a fire-fighting camera device, a Peltier induction device, a humidity sensor, a smoke detection device, a signal processor, a main controller, a driving device, a water sprinkling and heat dissipation device, a ventilation and smoke exhaust device, an audible and visual alarm device, a voice broadcasting device and a high-definition display screen;
the heat insulation box is arranged in an indoor tool room, and all devices are arranged in the heat insulation box;
the Peltier induction devices are uniformly fixed at the corners of the top end of the room; the peltier induction device includes a peltier element including an upper peltier element and a lower peltier element, a power amplifying element disposed between the upper peltier element and the lower peltier element, and a heat insulating wire;
ventilation fume extractor fixes in indoor kitchen, voice broadcasting device, high definition display screen all set up at indoor living room, and indoor still is provided with a plurality of fire control camera devices, ventilation fume extractor, voice broadcasting device and fire control camera device all with master controller electric connection.
In summary, the advantages and positive effects of the invention are: according to the household furniture fire control system, the household furniture fire control method and the household furniture fire control device based on the Internet of things, through the arrangement of the Peltier induction device, electric energy can be provided for the controller when the power is off, the controller can master all stable conditions in real time, details are provided for a user to master indoor fire, temperature difference is generated through the upper Peltier element and the lower Peltier element, the Peltier effect is utilized to generate current, and sufficient electric energy is provided for the whole security system when the power is off through the power amplification circuit, so that the work of indoor functional devices is controlled.
Drawings
Fig. 1 is a flow chart of a household furniture fire control method based on the internet of things provided by the embodiment of the invention.
Fig. 2 is a schematic structural diagram of a household furniture fire control system based on the internet of things, provided by the embodiment of the invention:
in the figure: 1. a video monitoring module; 2. a temperature sensing module; 3. a humidity detection module; 4. a smoke detection module; 5. a signal processing module; 6. a main control module; 7. a drive module; 8. a water sprinkling and heat dissipating module; 9. a ventilation and smoke exhaust module; 10. a switch master control module; 11. an early warning module; 12. a data storage module; 13. a communication module; 14. a terminal module; 15. and a display module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a household furniture fire control system, a household furniture fire control method and a household furniture fire control device based on the Internet of things, and the invention is described in detail with reference to the attached drawings.
As shown in fig. 1, the household furniture fire control method based on the internet of things provided by the embodiment of the invention comprises the following steps:
s101, carrying out fire protection monitoring on household furniture through a fire protection camera device; monitoring the temperature change condition of the surface of the household furniture through a Peltier induction device, and transmitting the detected temperature information to a signal processor; and provides power to the system when power is off.
S102, detecting humidity information around the furniture through a humidity sensor, and transmitting the detected humidity information to a signal processor; smoke concentration information around the furniture is detected through the smoke detection device, and the detected smoke concentration information is transmitted to the signal processor.
S103, receiving the information transmitted by the Peltier induction device, the humidity sensor and the smoke detection device through the signal processor, processing the information and transmitting the processed information to the main controller; the main controller controls the normal work of the household furniture fire control system.
S104, receiving a driving instruction of the main controller through the driving device and driving the water spraying and heat dissipating device and the ventilation and smoke exhausting device to operate; and the water sprinkling and heat dissipation module is connected with the main control module and used for dissipating heat of the furniture through the water sprinkling and heat dissipation device.
S105, ventilating and smoke discharging of furniture are carried out through a ventilating and smoke discharging device; the switching-off of the household power supply master control switch is controlled through a switch master control program when an abnormal condition occurs; and carrying out early warning on abnormal conditions through the sound-light alarm device and the voice broadcasting device.
And S106, storing the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the real-time data of the early warning information of the furniture through the cloud server.
S107, data transmission is carried out through the wireless transmission device; the real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture are sent to the mobile terminal through the cloud server.
And S108, displaying real-time data of the fire-fighting monitoring video, temperature information, humidity information, smoke concentration information and early warning information of the furniture through a high-definition display screen.
As shown in fig. 2, a household furniture fire control system based on the internet of things provided by the embodiment of the present invention includes: the intelligent monitoring system comprises a video monitoring module 1, a temperature sensing module 2, a humidity detection module 3, a smoke detection module 4, a signal processing module 5, a main control module 6, a driving module 7, a watering heat dissipation module 8, a ventilation and smoke exhaust module 9, a switch master control module 10, an early warning module 11, a data storage module 12, a communication module 12, a terminal module 14 and a display module 15.
The video monitoring module 1 is connected with the main control module 6 and is used for carrying out fire control monitoring on household furniture through a fire control camera device;
the temperature sensing module 2 is connected with the main control module 6 and used for monitoring the temperature change condition of the surface of the household furniture through a Peltier sensing device and transmitting the detected temperature information to the signal processor; and provides electric energy for the system when the power is cut off;
the humidity detection module 3 is connected with the main control module 6 and used for detecting the humidity information around the furniture through a humidity sensor and transmitting the detected humidity information to the signal processor;
the smoke detection module 4 is connected with the main control module 6 and used for detecting smoke concentration information around furniture through the smoke detection device and transmitting the detected smoke concentration information to the signal processor;
the signal processing module 5 is connected with the main control module 6 and used for receiving the information transmitted by the Peltier induction device, the humidity sensor and the smoke detection device through the signal processor, processing the information and transmitting the processed information to the main control module;
the main control module 6 is connected with the video monitoring module 1, the temperature sensing module 2, the humidity detection module 3, the smoke detection module 4, the signal processing module 5, the driving module 7, the water sprinkling and heat dissipation module 8, the ventilation and smoke exhaust module 9, the switch master control module 10, the early warning module 11, the data storage module 12, the communication module 12, the terminal module 14 and the display module 15, and is used for controlling the normal work of each module through the main controller;
the driving module 7 is connected with the main control module 6 and used for receiving a driving instruction of the main controller through the driving device and driving the operation of the sprinkling and heat dissipation device and the ventilation and smoke exhaust device;
the sprinkling heat dissipation module 8 is connected with the main control module 6 and is used for dissipating heat of furniture through the sprinkling heat dissipation device;
the ventilation and smoke exhaust module 9 is connected with the main control module 6 and is used for performing ventilation and smoke exhaust on the furniture through a ventilation and smoke exhaust device;
the switch master control module 10 is connected with the main control module 6 and is used for controlling the closing of the household power supply master control switch when an abnormal condition occurs through a switch master control program;
the early warning module 11 is connected with the main control module 6 and is used for carrying out early warning on abnormal conditions through an audible and visual alarm device and a voice broadcasting device;
the data storage module 12 is connected with the main control module 6 and used for storing real-time data of fire monitoring videos, temperature information, humidity information, smoke concentration information and early warning information of the furniture through a cloud server;
the communication module 13 is connected with the main control module 6 and is used for transmitting data through the wireless transmission device;
the terminal module 14 is connected with the main control module 6 and used for sending the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the real-time data of the early warning information of the furniture to the mobile terminal through the cloud server;
and the display module 15 is connected with the main control module 6 and used for displaying real-time data of the fire monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture through a high-definition display screen.
The embodiment of the invention provides a household furniture fire control device based on the Internet of things, which comprises: the device comprises a heat insulation box, a fire-fighting camera device, a Peltier induction device, a humidity sensor, a smoke detection device, a signal processor, a main controller, a driving device, a water sprinkling and heat dissipation device, a ventilation and smoke exhaust device, an audible and visual alarm device, a voice broadcasting device and a high-definition display screen.
The heat insulation box provided by the embodiment of the invention is arranged in a tool room in a room, and all devices are arranged in the heat insulation box.
The Peltier induction device provided by the embodiment of the invention is uniformly fixed at the corner of the indoor top end; the peltier induction device includes a peltier element including an upper peltier element and a lower peltier element, a power amplifying element disposed between the upper peltier element and the lower peltier element, and a heat insulating wire.
The ventilation and smoke exhaust device provided by the embodiment of the invention is fixed in an indoor kitchen, the voice broadcasting device and the high-definition display screen are arranged in an indoor living room, the indoor is also provided with a plurality of fire-fighting camera devices, and the ventilation and smoke exhaust device, the voice broadcasting device and the fire-fighting camera devices are electrically connected with the main controller.
The invention is further described with reference to specific examples.
Example 1
As shown in fig. 1, the method for controlling fire fighting of household furniture based on internet of things according to the embodiment of the present invention includes, as a preferred embodiment, the method for monitoring the temperature change of the surface of the household furniture by using a peltier sensing device, including:
establishing an environment multipoint temperature fusion model;
converting the temperature values detected by the Peltier sensing devices into fuzzy numbers through an environment multipoint temperature fusion model, and defining the support degree and the grey correlation degree of the temperature fuzzy numbers of every two Peltier sensing devices;
and constructing a support degree matrix and a gray correlation degree matrix, and calculating the values of the temperature fusion model of the plurality of detection points.
The method for calculating the value of the multiple detection point temperature fusion model provided by the embodiment of the invention comprises the following steps:
the support degree of the fuzzy number of each detection point Peltier induction device accounts for the support degree of the fuzzy number of the whole environment detection point Peltier induction device, and the ratio of the support degree of the fuzzy number of each detection point Peltier induction device is the support degree fusion weight of the detection value of the detection point Peltier induction device;
the ratio of the average gray relevance degree of the fuzzy number of each detection point Peltier induction device to the average gray relevance degree sum of the fuzzy number of the whole environment detection point Peltier induction device is the gray relevance degree fusion weight of the detection value of the detection point Peltier induction device;
the linear combination of the support degree fusion weight and the gray correlation degree fusion weight of each detection point is a combined weight of fusion of Peltier induction device values of the detection points, and the sum of the products of the combined weights of fusion of the Peltier induction device values of the detection points and the Peltier induction device values of the environment is a value of a fusion model of the temperatures of the plurality of detection points of the environment.
Example 2
As shown in fig. 1, a method for controlling fire fighting of home furniture based on the internet of things according to an embodiment of the present invention is as a preferred embodiment, where the method for receiving and processing information transmitted by a peltier sensing device, a humidity sensor, and a smoke detection device through a signal processor includes:
1) the signal processor provides a plurality of nodes and controls the plurality of nodes to receive temperature signals, humidity signals and smoke concentration signals transmitted by the Peltier induction device, the humidity sensor and the smoke detection device;
2) comparing the received signal with a sample signal, calculating a similarity value and a global weight of each node, and calculating a global similarity value according to the similarity value and the global weight of each node;
3) and judging the sample signal which is most similar to the received signal according to the global similarity value so as to determine the type of the received signal.
The method for calculating the global similarity value provided by the embodiment of the invention comprises the following steps:
wherein i is a positive integer and is less than or equal to the number of types of the sample signals, K is a positive integer and is less than or equal to the number K, G of the nodesiIs the global similarity value, omega, corresponding to the ith sample signali,kThe global weight, T, for the kth nodei (k)The similarity value for the kth node.
The method for calculating the similarity value provided by the embodiment of the invention comprises the following steps:
wherein i is a positive integer and is less than or equal to the number of types of the sample signals, and k is a positive integerAnd is less than or equal to the number of the nodes, si(n)For the sample signal of the ith kind, x(k)(n) is the received signal of the kth node.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Proof part (concrete examples/experiments/simulation/pharmacological analysis/positive experimental data, evidential material, appraisal reports, business data, research and development evidence, business cooperation evidence, etc. capable of proving the inventive aspects of the present invention)
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 (8)
1. The household furniture fire control method based on the Internet of things is characterized by comprising the following steps:
firstly, carrying out fire protection monitoring on household furniture through a fire protection camera device; monitoring the temperature change condition of the surface of the household furniture through a Peltier induction device, and transmitting the detected temperature information to a signal processor; and provides electric energy for the system when the power is cut off;
detecting humidity information around the furniture through a humidity sensor, and transmitting the detected humidity information to a signal processor; detecting smoke concentration information around the furniture through a smoke detection device, and transmitting the detected smoke concentration information to a signal processor;
thirdly, receiving the information transmitted by the Peltier induction device, the humidity sensor and the smoke detection device through the signal processor, processing the information and transmitting the processed information to the main controller; the normal work of the household furniture fire control system is controlled by the main controller;
step four, receiving a driving instruction of the main controller through the driving device and driving the operation of the water sprinkling and heat dissipation device and the ventilation and smoke exhaust device; the sprinkling heat dissipation module is connected with the main control module and used for dissipating heat of the furniture through the sprinkling heat dissipation device;
fifthly, ventilation and smoke exhaust of the furniture are performed through a ventilation and smoke exhaust device; the switching-off of the household power supply master control switch is controlled through a switch master control program when an abnormal condition occurs; carrying out early warning on abnormal conditions through an audible and visual alarm device and a voice broadcasting device;
step six, storing real-time data of the fire-fighting monitoring video, temperature information, humidity information, smoke concentration information and early warning information of the furniture through a cloud server;
step seven, data transmission is carried out through a wireless transmission device; the real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture are sent to the mobile terminal through the cloud server;
and step eight, displaying real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture through a high-definition display screen.
2. The Internet of things-based household furniture fire-fighting control method according to claim 1, wherein in the first step, the method for monitoring the temperature change condition of the surface of the household furniture by the Peltier sensing device comprises the following steps:
establishing an environment multipoint temperature fusion model;
converting the temperature values detected by the Peltier sensing devices into fuzzy numbers through an environment multipoint temperature fusion model, and defining the support degree and the grey correlation degree of the temperature fuzzy numbers of every two Peltier sensing devices;
and constructing a support degree matrix and a gray correlation degree matrix, and calculating the values of the temperature fusion model of the plurality of detection points.
3. The Internet of things-based household furniture fire control method according to claim 2, wherein the calculation method of the values of the plurality of detection point temperature fusion models is as follows:
the support degree of the fuzzy number of each detection point Peltier induction device accounts for the support degree of the fuzzy number of the whole environment detection point Peltier induction device, and the ratio of the support degree of the fuzzy number of each detection point Peltier induction device is the support degree fusion weight of the detection value of the detection point Peltier induction device;
the ratio of the average gray relevance degree of the fuzzy number of each detection point Peltier induction device to the average gray relevance degree sum of the fuzzy number of the whole environment detection point Peltier induction device is the gray relevance degree fusion weight of the detection value of the detection point Peltier induction device;
the linear combination of the support degree fusion weight and the gray correlation degree fusion weight of each detection point is a combined weight of fusion of Peltier induction device values of the detection points, and the sum of the products of the combined weights of fusion of the Peltier induction device values of the detection points and the Peltier induction device values of the environment is a value of a fusion model of the temperatures of the plurality of detection points of the environment.
4. The Internet of things-based household furniture fire control method as claimed in claim 1, wherein in the third step, the method for receiving and processing the information transmitted by the Peltier sensing device, the humidity sensor and the smoke detection device through the signal processor comprises the following steps:
1) the signal processor provides a plurality of nodes and controls the plurality of nodes to receive temperature signals, humidity signals and smoke concentration signals transmitted by the Peltier induction device, the humidity sensor and the smoke detection device;
2) comparing the received signal with a sample signal, calculating a similarity value and a global weight of each node, and calculating a global similarity value according to the similarity value and the global weight of each node;
3) and judging the sample signal which is most similar to the received signal according to the global similarity value so as to determine the type of the received signal.
5. The Internet of things-based household furniture fire control method according to claim 4, wherein the global similarity value is calculated by the following method:
wherein i is a positive integer and is less than or equal to the number of types of the sample signals, K is a positive integer and is less than or equal to the number K, G of the nodesiIs the global similarity value, omega, corresponding to the ith sample signali,kThe global weight, T, for the kth nodei (k)The similarity value for the kth node.
6. The Internet of things-based household furniture fire control method according to claim 5, wherein the similarity value is calculated by the following method:
wherein i is a positive integer and is less than or equal to the number of types of the sample signal, and k is a positive integerNumber of the nodes, si(n)For the sample signal of the ith kind, x(k)(n) is the received signal of the kth node.
7. An Internet of things-based household furniture fire control system for implementing the Internet of things-based household furniture fire control method according to any one of claims 1-6, wherein the Internet of things-based household furniture fire control system comprises:
the video monitoring module is connected with the main control module and is used for carrying out fire control monitoring on household furniture through the fire control camera device;
the temperature sensing module is connected with the main control module and used for monitoring the temperature change condition of the surface of the household furniture through the Peltier sensing device and transmitting the detected temperature information to the signal processor; and provides electric energy for the system when the power is cut off;
the humidity detection module is connected with the main control module and used for detecting the humidity information around the furniture through the humidity sensor and transmitting the detected humidity information to the signal processor;
the smoke detection module is connected with the main control module and used for detecting smoke concentration information around the furniture through the smoke detection device and transmitting the detected smoke concentration information to the signal processor;
the signal processing module is connected with the main control module and used for receiving the information transmitted by the Peltier induction device, the humidity sensor and the smoke detection device through the signal processor, processing the information and transmitting the processed information to the main control module;
the main control module is connected with the video monitoring module, the temperature sensing module, the humidity detection module, the smoke detection module, the signal processing module, the driving module, the water sprinkling and heat dissipation module, the ventilation and smoke exhaust module, the switch master control module, the early warning module, the data storage module, the communication module, the terminal module and the display module and is used for controlling the normal work of each module through the main controller;
the driving module is connected with the main control module and used for receiving a driving instruction of the main control module through the driving device and driving the operation of the water spraying and heat dissipating device and the ventilation and smoke discharging device;
the sprinkling heat dissipation module is connected with the main control module and used for dissipating heat of the furniture through the sprinkling heat dissipation device;
the ventilation and smoke exhaust module is connected with the main control module and is used for performing ventilation and smoke exhaust on the furniture through the ventilation and smoke exhaust device;
the switch master control module is connected with the main control module and is used for controlling the turning-off of the household power supply master control switch when an abnormal condition occurs through a switch master control program;
the early warning module is connected with the main control module and is used for early warning the abnormal conditions through the sound-light alarm device and the voice broadcasting device;
the data storage module is connected with the main control module and used for storing real-time data of fire monitoring videos, temperature information, humidity information, smoke concentration information and early warning information of the furniture through the cloud server;
the communication module is connected with the main control module and is used for transmitting data through the wireless transmission device;
the terminal module is connected with the main control module and used for sending the real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture to the mobile terminal through the cloud server;
and the display module is connected with the main control module and used for displaying real-time data of the fire-fighting monitoring video, the temperature information, the humidity information, the smoke concentration information and the early warning information of the furniture through a high-definition display screen.
8. An internet of things-based household furniture fire-fighting control device applying the internet of things-based household furniture fire-fighting control system according to claim 1, wherein the internet of things-based household furniture fire-fighting control device comprises:
the device comprises a heat insulation box, a fire-fighting camera device, a Peltier induction device, a humidity sensor, a smoke detection device, a signal processor, a main controller, a driving device, a water sprinkling and heat dissipation device, a ventilation and smoke exhaust device, an audible and visual alarm device, a voice broadcasting device and a high-definition display screen;
the heat insulation box is arranged in an indoor tool room, and all devices are arranged in the heat insulation box;
the Peltier induction devices are uniformly fixed at the corners of the top end of the room; the peltier induction device includes a peltier element including an upper peltier element and a lower peltier element, a power amplifying element disposed between the upper peltier element and the lower peltier element, and a heat insulating wire;
ventilation fume extractor fixes in indoor kitchen, voice broadcasting device, high definition display screen all set up at indoor living room, and indoor still is provided with a plurality of fire control camera devices, ventilation fume extractor, voice broadcasting device and fire control camera device all with master controller electric connection.
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