CN114301950B - Intelligent home security system based on Internet of things - Google Patents

Intelligent home security system based on Internet of things Download PDF

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CN114301950B
CN114301950B CN202111677758.5A CN202111677758A CN114301950B CN 114301950 B CN114301950 B CN 114301950B CN 202111677758 A CN202111677758 A CN 202111677758A CN 114301950 B CN114301950 B CN 114301950B
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data processing
processing unit
encodings
execution
decoder
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CN114301950A (en
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江冠华
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Jiangsu Jwt Electronics Shares Co ltd
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Jiangsu Jwt Electronics Shares Co ltd
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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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 unidirectional control part or all of the execution device at the output end of the data processing unit works, the bidirectional connection control is carried out on the output end of the data processing unit and the remote transmission unit, the remote transmission unit is in bidirectional connection with the mobile phone client, the environment detection unit comprises a temperature sensor, a smoke sensor and a fuel gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered to be electric signals, the data processing unit comprises a deep neural network module, the three information signals of temperature, smoke and fuel gas are processed, the control signals are transmitted to the execution device and the remote transmission unit by the data processing unit, and the execution device control part or all of the execution device executes execution operations corresponding to the control signals.

Description

Intelligent home security system based on Internet of things
Technical Field
The invention relates to the technical field of intelligent household equipment, in particular to an intelligent household security system based on the Internet of things.
Background
Currently, the development steps of the internet are gradually slowed down, but the internet of things which extends on the basis of a computer and internet technology is fried to be hot, the internet of things which integrates the characteristics of multi-sensing, network communication integration, artificial intelligence and the like expands the communication between people and things and between things and things on application, namely various things are accessed into the internet according to a defined protocol through information sensing equipment such as a Radio Frequency Identification (RFID) tag, an infrared sensor, a global positioning system, a laser scanner and the like, and information exchange and communication are carried out, so that the intelligent recognition, positioning, tracking, monitoring and management of the objects are realized. Under the trend of networking, high definition and intelligent development of current 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 clearly meets the requirement of the development of the internet of things, and the characteristics of networking and intelligence of two security products promote the application of the internet of things technology.
At present, the demands of the application of the combination of the Internet of things and the security protection are increasingly highlighted in the development of various fields such as intelligent home, environment-friendly monitoring, medical systems, traffic and the like, wherein the application of the security protection technology of the Internet of things in the intelligent home system is particularly typical. But prior art's intelligent house security protection system of thing networking, when detecting fire or gas leakage, executive device opens totally, and sprinkler, gas pipeline closing device, ventilation unit and buzzer open totally, but if only gas leakage, gas pipeline closing device, ventilation unit and buzzer open can, sprinkler need not open, can increase user's loss.
Therefore, there is an urgent need in the art for a truly intelligent home security system of the internet of things that is similar to human judgment.
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 output end of the data processing unit is in one-way control part or all of the execution devices work, the output end of the data processing unit is in two-way connection control with the remote transmission unit, the remote transmission unit is in two-way connection with a mobile phone client, the environment detection unit comprises a temperature sensor, a smoke sensor and a fuel gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered to be electric signals, the data processing unit comprises a deep neural network module, three information signals of temperature, smoke and fuel gas are processed, the data processing unit transmits the control signals to the execution device and the remote transmission unit, the execution device comprises a sprinkling device, a fuel gas closing device, a ventilation device and a buzzer, and the control part or all of the execution devices execute execution operations corresponding to the control signals.
Furthermore, the deep neural network module adopts an Encoder-decoder architecture, three information of temperature, smoke and gas are subjected to word embedding and characterization layers to obtain three vectors, the three vectors are respectively input into the three encodings, the encodings compare the input vectors with a set value, and when the input vectors are larger than or equal to the set value, the encodings give an output result, otherwise, the encodings do not give the output result.
Further, a temperature vector is input to a first Encode, a smoke vector is input to a second Encode, a gas vector is input to a third Encode, the first Encode and the second Encode are connected to the first Encode, the first Encode and the third Encode are connected to the second Encode, and the first Encode gives an output result whenever there is one output result among the first Encode and the second Encode, and the second Encode outputs 3 execution mode signals.
Further, when the first Decoder gives an output result and the third Encoder gives no output result, the second Decoder outputs the execution mode signal 1, when the first Decoder gives no output result and the third Encoder gives an output result, the second Decoder outputs the execution mode signal 2, and when the first Decoder gives an output result and the third Encoder gives an output result, the second Decoder outputs the execution mode signal 3.
Further, the second Decoder outputs the execution mode signal 1, the sprinkler, the gas shutoff device and the buzzer in the execution device are turned on, the second Decoder outputs the 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 the execution mode signal 3, the sprinkler, the gas shutoff device, the ventilation device and the buzzer in the execution device are all turned on.
Furthermore, the data processing unit is also connected with the storage module, the output end of the storage module is connected with the input end of the USB interface in a one-way, and the data of the data processing unit can be downloaded through the USB interface.
Further, the data processing unit is still connected 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 is all connected with power detection module's the one-way electricity of output, when power module residual capacity is greater than twenty percent green light is bright, when corona module residual capacity is less than twenty percent red light bright, the use of user has been made things convenient for, through power detection module's setting, can detect power module residual capacity, thereby the condition that does not appear having electric when having avoided power module to use thereby influencing the use.
Drawings
Fig. 1 is a frame diagram of an intelligent home security system based on the internet of things.
The drawings will be described in detail with reference to specific embodiments.
Detailed Description
The following examples are described to aid in the understanding of the invention and are not, nor should they be construed in any way to limit the scope of the invention.
In the following description, those skilled in the art will recognize that components may be described as separate functional units (which may include sub-units) throughout this discussion, 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 integration within a single system or component).
Moreover, 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 intermediate components. In addition, additional or fewer connections may be used. It should also be noted that the terms "coupled," "connected," or "input" are to be understood to include direct connection, indirect connection via one or more intermediary devices, and wireless connection.
Example 1:
the present invention will be further described in detail below with reference to specific embodiments and with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent.
Intelligent home security system based on thing networking, as shown in fig. 1, include: the environment detection unit comprises a temperature sensor, a smoke sensor and a fuel gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered to be electric signals, the data processing unit adopts a deep neural network module to process three information of temperature, smoke and fuel gas, the executing device comprises a water spraying device, a fuel gas closing device, a ventilation device and a buzzer, the output end of the data processing unit is in one-way control part or all executing devices to work, the output end of the data processing unit is in two-way connection control with the remote transmitting unit, and the output end of the remote receiving module is in two-way connection with a mobile phone client.
The deep neural network module adopts an Encoder-decoder architecture, three information of temperature, smoke and fuel gas is subjected to word embedding and characterization layers to obtain three vectors, the three vectors are respectively input into three encoders, the Encoder compares the input vectors with a set value, and when the input vectors are larger than or equal to the set value, the Encoder gives an output result, otherwise, the Encoder does not give the output result. The temperature vector is input into a first Encode, the smoke vector is input into a second Encode, the gas vector is input into a third Encode, the first Encode and the second Encode are connected with the first Encode, the first Encode and the third Encode are connected with the second Encode, one or two of the first Encode and the second Encode output results, then the first Encode gives one output result, and the second Encode outputs 3 execution mode signals.
The second Decoder outputs the execution mode signal 1 when the first Decoder gives the output result and the third Encoder gives the output result, the second Decoder outputs the execution mode signal 2 when the first Decoder gives the output result and the third Encoder gives the output result, and the second Decoder outputs the execution mode signal 3 when the first Decoder gives the output result and the third Encoder gives the output result. The second Decoder outputs an execution mode signal 1, then the sprinkler, the gas shutoff device and the buzzer in the execution device are started, the second Decoder outputs an execution mode signal 2, then the gas shutoff device, the ventilation device and the buzzer in the execution device are started, and the second Decoder outputs an execution mode signal 3, then the sprinkler, the gas shutoff device, the ventilation device and the buzzer in the execution device are all started.
The data processing unit is also connected with the storage module, the output end of the storage module is connected with the input end of the USB interface in a one-way, and the data of the data processing unit can be downloaded through the USB interface. The data processing unit is still connected 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 is all 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, the use of user has been made things convenient for, through power detection module's setting, can detect power module residual capacity, thereby the condition that does not appear having had the electricity when having avoided power module to use influences the use.
While various aspects and embodiments have been disclosed, other aspects and embodiments will be apparent to those skilled in the art, and many changes and modifications can be made without departing from the spirit of the application, which is intended to be within the scope of the invention. The various aspects and embodiments disclosed herein are for illustration only and are not intended to limit the application, the actual scope of which is subject to the claims.

Claims (1)

1. Intelligent home 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 output end of the data processing unit is in one-way control to partially or completely execute the device, the output end of the data processing unit is in two-way connection control with the remote transmission unit, the remote transmission unit is in two-way connection with a mobile phone client, the environment detection unit comprises a temperature sensor, a smoke sensor and a fuel gas leakage sensor, physical quantity signals in the environment are converted, amplified and filtered to be electric signals, the data processing unit comprises a deep neural network module, three information signals of temperature, smoke and fuel gas are processed, the data processing unit transmits the control signals to the execution device and the remote transmission unit, the execution device comprises a sprinkler, a fuel gas closing device, a ventilation device and a buzzer, the control part or all execution devices execute the execution operation corresponding to the control signals, the deep neural network module adopts an Encoder-Decoder architecture, three information of temperature, smoke and fuel gas is subjected to word embedding characterization layers to obtain three vectors, the three vectors are respectively input into the three encodings, the encodings compare the input vector with a set value, when the input vector is more than or equal to the set value, the encodings give an output result, otherwise, no output result is given, the temperature vector is input into a first encodings, the smoke vector is input into a second encodings, the fuel gas vector is input into a third encodings, the first encodings and the second encodings are connected with the first encodings, one or two output results among the first encodings and the second encodings are connected with the second encodings, then the first encodings give an output result, the second encodings output 3 execution mode signals, when the first Decoder gives out the output result and the third Decoder gives out the output result, the second Decoder outputs the execution mode signal 1, when the first Decoder gives out no output result and the third Decoder gives out the output result, the second Decoder outputs the execution mode signal 2, when the first Decoder gives out the output result and the third Decoder gives out the output result, the second Decoder outputs the execution mode signal 3, the second Decoder outputs the execution mode signal 1, the sprinkler, the gas shutoff device and the buzzer in the execution device are turned on, the second Decoder outputs the execution mode signal 2, the gas shutoff device, the ventilation device and the buzzer in the execution device are turned on, the second Decoder outputs the execution mode signal 3, the sprinkler, the gas shut-off device, the ventilation device and the buzzer in the execution device are all started, the data processing unit is further connected with the storage module, the output end of the storage module is connected with the input end of the USB socket in a one-way mode, data of the data processing unit can be downloaded through the USB socket, the data processing unit is further connected with the power module, the output end of the power module is electrically connected with the power detection module in a one-way mode, the output end of the power detection module is electrically connected with the indicator lamp in a one-way mode, the indicator lamp comprises a red lamp and a green lamp, the input ends of the red lamp and the green lamp are electrically connected with the output end of the power detection module in a one-way mode, the green lamp is on when the residual electric quantity of the power module is more than twenty percent, and the red lamp is on when the residual electric quantity of the corona module is less than twenty percent.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102582560A (en) * 2012-02-22 2012-07-18 苏州卡泰克电子科技有限公司 Self-adaptive infrared system for monitoring internal environment of automobile
CN104793578A (en) * 2014-06-30 2015-07-22 贵州林塑科技发展有限公司 High-definition image monitoring household appliance control host
CN105823137A (en) * 2016-03-17 2016-08-03 宁波市江东精诚自动化设备有限公司 Intelligent air purifier
CN107798813A (en) * 2017-10-24 2018-03-13 江苏精微特电子股份有限公司 A kind of intelligent household security system based on Internet of Things
CN108198374A (en) * 2018-01-12 2018-06-22 佛山杰致信息科技有限公司 A kind of intelligent household security system based on wireless sensor network
CN110816275A (en) * 2019-11-21 2020-02-21 辽宁工业大学 Safety monitoring system and monitoring method based on new energy vehicle
CN112034766A (en) * 2020-09-15 2020-12-04 广州邦禾检测技术有限公司 Laboratory safety management system based on Internet of things
WO2021033897A1 (en) * 2019-08-22 2021-02-25 (주)파인디어칩 User input/output interface integrated circuit

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102582560A (en) * 2012-02-22 2012-07-18 苏州卡泰克电子科技有限公司 Self-adaptive infrared system for monitoring internal environment of automobile
CN104793578A (en) * 2014-06-30 2015-07-22 贵州林塑科技发展有限公司 High-definition image monitoring household appliance control host
CN105823137A (en) * 2016-03-17 2016-08-03 宁波市江东精诚自动化设备有限公司 Intelligent air purifier
CN107798813A (en) * 2017-10-24 2018-03-13 江苏精微特电子股份有限公司 A kind of intelligent household security system based on Internet of Things
CN108198374A (en) * 2018-01-12 2018-06-22 佛山杰致信息科技有限公司 A kind of intelligent household security system based on wireless sensor network
WO2021033897A1 (en) * 2019-08-22 2021-02-25 (주)파인디어칩 User input/output interface integrated circuit
CN110816275A (en) * 2019-11-21 2020-02-21 辽宁工业大学 Safety monitoring system and monitoring method based on new energy vehicle
CN112034766A (en) * 2020-09-15 2020-12-04 广州邦禾检测技术有限公司 Laboratory safety management system based on Internet of things

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