CN114301950A - Intelligent home security system based on Internet of things - Google Patents
Intelligent home security system based on Internet of things Download PDFInfo
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- CN114301950A CN114301950A CN202111677758.5A CN202111677758A CN114301950A CN 114301950 A CN114301950 A CN 114301950A CN 202111677758 A CN202111677758 A CN 202111677758A CN 114301950 A CN114301950 A CN 114301950A
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- 238000001514 detection method Methods 0.000 claims abstract description 17
- 239000000779 smoke Substances 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims abstract description 9
- 238000013528 artificial neural network Methods 0.000 claims abstract description 7
- 239000013598 vector Substances 0.000 claims description 21
- 238000009423 ventilation Methods 0.000 claims description 11
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 230000006855 networking Effects 0.000 claims description 5
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- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention provides an intelligent home security system based on the Internet of things, which comprises: the environment detection unit is connected with the data processing unit, the data processing unit is connected with the execution device, the output end of the data processing unit unidirectionally controls the work of part or all of the execution devices, the output end of the data processing unit is bidirectionally connected with and controlled by the remote transmission unit, the remote transmission unit is bidirectionally connected with the mobile phone client, the environment detection unit comprises a temperature sensor, a smoke sensor and a gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered into electric signals, the data processing unit comprises a deep neural network module for processing three information signals of temperature, smoke and gas, the data processing unit transmits the control signal to the execution device and the remote transmission unit, and the execution device controls part or all of the execution devices to execute the execution operation corresponding to the control signal.
Description
Technical Field
The invention relates to the technical field of intelligent home equipment, in particular to an intelligent home security system based on the Internet of things.
Background
At present, the step of internet development has been gradually slowed down, and the living thing networking that extends on computer and internet technology basis is fried and is heated, and the thing networking that has integrateed characteristics such as many sensing, network communication integration, artificial intelligence has expanded people and people's communication to people and thing's communication in the application, through information sensing equipment such as Radio Frequency Identification (RFID) label, infrared inductor, global positioning system, laser scanner, according to agreed agreement, accesses various objects internet, carries out information exchange and communication to realize intelligent discernment, location, tracking, control and management to the object. Under the current trend of networked, high-definition and intelligent development of security products, the internet of things technology and the intelligent security technology are mutually fused and associated in a certain range, the application of intelligent security undoubtedly meets the requirement of the development of the internet of things, and the networked and intelligent characteristics of the security products promote the application of the internet of things technology.
At present, the demand of the combination application of the internet of things and security has become increasingly prominent in the development of smart homes, environmental monitoring, medical systems, traffic and other fields, wherein the application of the security technology of the internet of things in the smart home system is particularly typical. However, in the internet of things intelligent home security system in the prior art, when detecting fire or gas leakage, the execution device is completely opened, and the sprinkler, the gas pipeline closing device, the ventilation device and the buzzer are completely opened, but when only gas leakage occurs, the gas pipeline closing device, the ventilation device and the buzzer are opened, and the sprinkler does not need to be opened, so that the loss of a user can be increased.
Therefore, a truly intelligent home security system of the internet of things similar to human judgment is urgently needed in the field.
Disclosure of Invention
The invention aims to provide an intelligent home security system based on the Internet of things, which can provide a reasonable execution scheme according to actual conditions.
Intelligent home security system based on thing networking includes: the environment detection unit is connected with the data processing unit, the data processing unit is connected with the execution device, the one-way control part of the output end of the data processing unit or all the execution devices work, the two-way connection control of the output end of the data processing unit and the remote transmission unit is realized, the remote transmission unit is connected with the mobile phone client side in two ways, the environment detection unit comprises a temperature sensor, a smoke sensor and a gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered into electric signals, the data processing unit comprises a deep neural network module and is used for processing three information signals of temperature, smoke and gas, the data processing unit is used for transmitting control signals to the execution device and the remote transmission unit, and the execution device comprises a water sprinkling device, a gas closing device, The ventilation device and the buzzer control part or all of the execution devices to execute the execution operation corresponding to the control signal.
Furthermore, the deep neural network module adopts an Encoder-decoder architecture, three information of temperature, smoke and gas are embedded into the representation layer through words to obtain three vectors, the three vectors are respectively input into three encoders, the encoders compare the input vectors with a set value, when the input vectors are larger than or equal to the set value, the encoders give an output result, otherwise, the output result is not given.
Further, a temperature vector is input into a first Encode, a smoke vector is input into a second Encode, a gas vector is input into a third Encode, the first Encode and the second Encode are connected with the first Decode, the first Decode and the third Encode are connected with the second Decode, as long as one output result exists in the first Encode and the second Encode, the first Decode gives an output result, and the second Decode outputs 3 execution mode signals.
Further, the second Decoder outputs an execution mode signal 1 when the first Decoder gives an output result and the third Encoder does not give an output result, outputs an execution mode signal 2 when the first Decoder does not give an output result and the third Encoder gives an output result, and outputs an execution mode signal 3 when the first Decoder gives an output result and the third Encoder also gives an output result.
Further, the second Decoder outputs an execution mode signal 1, the water spray device, the gas shutoff device, and the buzzer in the execution device are turned on, the second Decoder outputs an execution mode signal 2, the gas shutoff device, the ventilation device, and the buzzer in the execution device are turned on, and the second Decoder outputs an execution mode signal 3, all of the water spray device, the gas shutoff device, the ventilation device, and the buzzer in the execution device are turned on.
Furthermore, the data processing unit is also connected with a storage module, the output end of the storage module is unidirectionally connected with the input end of the USB socket, and the data of the data processing unit can be downloaded through the USB socket.
Further, the data processing unit still connects power module, power module's the one-way electricity of output is connected with power detection module, power detection module's the one-way electricity of output is connected with the pilot lamp, the pilot lamp includes red light and green light, the input of red light and green light all is connected with the one-way electricity of power detection module's output, green light is bright when power module residual capacity is greater than twenty percent, red light is bright when corona module residual capacity is less than twenty percent, user's use has been made things convenient for, setting through power detection module, can detect power module residual electric quantity, thereby the situation that the influence was used appears not having the electricity when having avoided power module to use.
Drawings
FIG. 1 is a framework diagram of an intelligent home security system based on the Internet of things.
The drawings are described in detail below with reference to specific embodiments.
Detailed Description
The following examples are described to aid in the understanding of the present invention and are not, and should not be construed to limit the scope of the present invention in any way.
In the following description, those skilled in the art will recognize that components may be described throughout this discussion as separate functional units (which may include sub-units), but those skilled in the art will recognize that various components or portions thereof may be divided into separate components or may be integrated together (including being integrated within a single system or component).
Further, connections between components or systems are not intended to be limited to direct connections. Rather, data between these components may be modified, reformatted, or otherwise changed by the intermediate components. Additionally, additional or fewer connections may be used. It should also be noted that the terms "coupled," "connected," or "input" should be understood to include direct connections, indirect connections through one or more intermediate devices, and wireless connections.
Example 1:
in order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings.
Intelligent home security system based on thing networking, as shown in fig. 1, include: environment detecting element, data processing unit, actuating device, teletransmission unit, environment detecting element and data processing unit, data processing unit and actuating device are connected, the sensor is revealed including temperature sensor, smoke transducer, gas to environment detecting element, and the physical quantity signal in with the environment is the signal of telecommunication through conversion, enlargies, filtering treatment, data processing unit adopts the deep neural network module, handles temperature, smog, the three information of gas, actuating device includes watering device, gas closing device, ventilation unit and bee calling organ, and data processing unit output one-way control part or whole actuating device work to data processing unit output and teletransmission unit both way junction control, the output both way junction mobile client of remote receiving module.
The deep neural network module adopts an Encoder-decoder structure, three information of temperature, smoke and gas are embedded into the representation layer through words to obtain three vectors, the three vectors are respectively input into the three Encoders, the Encoders compare the input vectors with a set value, when the input vectors are larger than or equal to the set value, the Encoders give an output result, otherwise, the output result is not given. The method comprises the steps of inputting a temperature vector into a first Encoder, inputting a smoke vector into a second Encoder, inputting a gas vector into a third Encoder, connecting the first Encoder and the second Encoder with a first Decoder, connecting the first Decoder and the third Encoder with a second Decoder, and outputting 3 execution mode signals by the first Decoder and the second Decoder, wherein one or two output results are obtained from the first Encoder and the second Decoder.
The second Decoder outputs an execution mode signal 1 when the first Decoder gives an output result and the third Encoder does not give an output result, outputs an execution mode signal 2 when the first Decoder does not give an output result and the third Encoder gives an output result, and outputs an execution mode signal 3 when the first Decoder gives an output result and the third Encoder also gives an output result. The second Decoder outputs an execution mode signal 1, the water spray device, the gas shut-off device, and the buzzer in the execution device are turned on, the second Decoder outputs an execution mode signal 2, the gas shut-off device, the ventilation device, and the buzzer in the execution device are turned on, and the second Decoder outputs an execution mode signal 3, the water spray device, the gas shut-off device, the ventilation device, and the buzzer in the execution device are all turned on.
The data processing unit is also connected with a storage module, the output end of the storage module is unidirectionally connected with the input end of the USB socket, and the data of the data processing unit can be downloaded through the USB socket. The data processing unit still connects power module, power module's the one-way electricity of output is connected with power detection module, power detection module's the one-way electricity of output is connected with the pilot lamp, the pilot lamp includes red light and green light, the input of red light and green light all is connected with power detection module's the one-way electricity of output, green light is bright when power module residual capacity is greater than twenty percent, red light is bright when corona module residual capacity is less than twenty percent, user's use has been made things convenient for, setting through power detection module, can detect power module remaining electric quantity, thereby the situation that the influence was used appears not having the electricity when having avoided power module to use.
While various aspects and embodiments have been disclosed herein, it will be apparent to those skilled in the art that other aspects and embodiments can be made without departing from the spirit of the disclosure, and that several modifications and improvements can be made without departing from the spirit of the disclosure. The various aspects and embodiments disclosed herein are presented by way of example only and are not intended to limit the present disclosure, which is to be controlled in the spirit and scope of the appended claims.
Claims (7)
1. Intelligent house security system based on thing networking, its characterized in that includes: the environment detection unit is connected with the data processing unit, the data processing unit is connected with the execution device, the one-way control part of the output end of the data processing unit or all the execution devices work, the two-way connection control of the output end of the data processing unit and the remote transmission unit is realized, the remote transmission unit is connected with the mobile phone client side in two ways, the environment detection unit comprises a temperature sensor, a smoke sensor and a gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered into electric signals, the data processing unit comprises a deep neural network module and is used for processing three information signals of temperature, smoke and gas, the data processing unit is used for transmitting control signals to the execution device and the remote transmission unit, and the execution device comprises a water sprinkling device, a gas closing device, The ventilation device and the buzzer control part or all of the execution devices to execute the execution operation corresponding to the control signal.
2. The intelligent home security system based on the internet of things as claimed in claim 1, wherein the deep neural network module adopts an Encoder-decoder architecture, three information of temperature, smoke and gas are embedded into the representation layer through words to obtain three vectors, the three vectors are respectively input into three encoders, the encoders compare the input vectors with a set value, when the input vectors are greater than or equal to the set value, the encoders give an output result, otherwise, the output result is not given.
3. The internet of things-based smart home security system of claim 2, wherein a temperature vector is input into a first Encoder, a smoke vector is input into a second Encoder, a gas vector is input into a third Encoder, the first Encoder and the second Encoder are connected to the first Decoder, the first Decoder and the third Encoder are connected to the second Decoder, and one or two of the first Encoder and the second Encoder output results, then the first Decoder gives an output result, and the second Decoder outputs 3 execution mode signals.
4. The internet of things-based smart home security system of claim 3, wherein the second Decoder outputs an execution mode signal 1 when the first Decoder gives an output result and the third Encoder does not give an output result, outputs an execution mode signal 2 when the first Decoder does not give an output result and the third Encoder gives an output result, and outputs an execution mode signal 3 when the first Decoder gives an output result and the third Encoder also gives an output result.
5. The Internet of things-based smart home security system of claim 4, wherein the second Decoder outputs an execution mode signal 1, and then a sprinkler, a gas shutoff device, and a buzzer in the execution device are turned on, the second Decoder outputs an execution mode signal 2, and then a gas shutoff device, a ventilation device, and a buzzer in the execution device are turned on, and the second Decoder outputs an execution mode signal 3, and then the sprinkler, the gas shutoff device, the ventilation device, and the buzzer in the execution device are all turned on.
6. The intelligent home security system based on the internet of things as claimed in claim 1, wherein the data processing unit is further connected with a storage module, an output end of the storage module is unidirectionally connected with an input end of the USB socket, and data of the data processing unit can be downloaded through the USB socket.
7. The intelligent home security system based on the Internet of things as claimed in claim 1, wherein the data processing unit is further connected with a power supply module, the output end of the power supply module is unidirectionally and electrically connected with a power supply detection module, the output end of the power supply detection module is unidirectionally and electrically connected with an indicator lamp, the indicator lamp comprises a red lamp and a green lamp, the input ends of the red lamp and the green lamp are both unidirectionally and electrically connected with the output end of the power supply detection module, the green lamp is turned on when the residual capacity of the power supply module is greater than twenty percent, and the red lamp is turned on when the residual capacity of the corona module is less than twenty percent.
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| CN202111677758.5A CN114301950B (en) | 2021-12-31 | 2021-12-31 | Intelligent home security system based on Internet of things |
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| CN202111677758.5A CN114301950B (en) | 2021-12-31 | 2021-12-31 | Intelligent home security system based on Internet of things |
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2021
- 2021-12-31 CN CN202111677758.5A patent/CN114301950B/en active Active
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