CN116599787A - Intelligent household environment monitoring system - Google Patents
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- CN116599787A CN116599787A CN202310874366.0A CN202310874366A CN116599787A CN 116599787 A CN116599787 A CN 116599787A CN 202310874366 A CN202310874366 A CN 202310874366A CN 116599787 A CN116599787 A CN 116599787A
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- 238000004891 communication Methods 0.000 claims abstract description 16
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L2012/284—Home automation networks characterised by the type of medium used
- H04L2012/2841—Wireless
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention relates to an intelligent home environment monitoring system, and belongs to the technical field of intelligent home. The system comprises an edge computing module, a network monitoring unit, a Bluetooth Mesh module, a wireless communication unit and a voice interaction module; the network monitoring unit, the Bluetooth Mesh module, the wireless communication unit and the voice interaction module are all connected with the edge calculation module, and the wireless communication unit is also connected with a cloud calculation center; the edge calculation module is used for executing a regulation strategy set by a user and an automatic control strategy of the edge calculation module; and the cloud computing center performs user intention recognition through the received control data information and generates a control instruction of the intelligent home environment monitoring equipment. The invention monitors the router state and the network security through the network monitoring unit, improves the security of data transmission, and simultaneously realizes the indoor environment regulation under the network fault state by executing the regulation strategy and the control association rule through the edge calculation module.
Description
Technical Field
The invention belongs to the technical field of intelligent home, and particularly relates to an intelligent home environment monitoring system.
Background
Along with the rapid development of social economy and scientific technology in China, the living standard of people is continuously improved, and the demand for indoor environment intellectualization is higher and higher. The indoor space is not a simple living space, and is a safe, comfortable, intelligent and convenient living environment for people. The current intelligent household environment monitoring system monitors and controls the household environment through technical means such as a sensor, an intelligent controller and the like, and the system realizes functions such as intelligent control, automatic adjustment, manual remote control and the like according to a plurality of monitored parameters such as indoor temperature, humidity, illumination brightness and the like.
The intelligent home environment monitoring system has good application prospect in the aspects of improving comfort, safety, energy-saving effect and the like, but has some problems in practical application:
(1) Potential safety hazard: because the intelligent home environment monitoring system supports local storage data access and cloud storage, important problems such as data privacy and safety are brought to users;
(2) Control failure: the intelligent home environment monitoring system is provided with voice control equipment, but under the condition of offline state or server fault, the voice control equipment or control APP fails, so that the problems of failure and uncontrollable home equipment and the like are caused, and great inconvenience is brought to users.
Therefore, it is desirable to provide an intelligent home environment monitoring system that can provide comfort and convenience for users while allowing safe and stable operation.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an intelligent home environment monitoring system, which monitors the router state and network security through a network monitoring unit, improves the security of data transmission, and simultaneously executes a regulation strategy and a control association rule through an edge computing module to realize indoor environment regulation under a network fault state.
The aim of the invention can be achieved by the following technical scheme:
an intelligent home environment monitoring system comprises an edge computing module, a network monitoring unit, a Bluetooth Mesh module, a wireless communication unit and a voice interaction module;
the network monitoring unit, the Bluetooth Mesh module, the wireless communication unit and the voice interaction module are all connected with the edge calculation module, and the wireless communication unit is also connected with a cloud calculation center;
the edge calculation module is used for executing a regulation strategy set by a user and an automatic control strategy of the edge calculation module; specifically, the automatic control strategy includes:
the network state evaluation is carried out by monitoring the real-time data of the network monitoring unit, when the network state is good, the control data information of the user is uploaded to the cloud computing center after being processed, and the control association rule is updated in time;
when the network state fails, the autonomous regulation and control of the environmental conditions are completed according to the regulation and control strategy set by the user, and the control command of the user voice is completed by executing the control association rule;
and the cloud computing center performs user intention recognition through the received control data information and generates a control instruction of the intelligent home environment monitoring equipment.
As a preferable technical scheme of the invention, the control data information comprises user control voice collected by a voice interaction module and a control instruction sent to a cloud computing center by a user terminal;
the processing of the user-controlled speech comprises: stress and noise are removed, data processing encryption and anonymization processing are performed.
As a preferred technical solution of the present invention, the network state failure is specifically a router failure and a network security threat.
As a preferred technical scheme of the invention, the network monitoring unit is used for router monitoring and network security monitoring, and transmits the monitoring result to the edge computing module in real time;
the router monitoring comprises monitoring the state of the router, CPU load and memory use condition; the network security monitoring includes monitoring for network attacks and threats of malware.
As a preferable technical scheme of the invention, the Bluetooth Mesh module is used for connecting the intelligent home environment monitoring equipment and transmitting data in the Bluetooth Mesh network to the edge computing module.
As a preferred technical scheme of the invention, the wireless communication unit is used for realizing data exchange between the edge computing module and the cloud computing center in a wireless mode.
As a preferable technical scheme of the invention, the voice interaction module is used for collecting voice instruction data of a user and sending the voice instruction data to the edge calculation module, and simultaneously feeding back an operation result to the user.
As a preferred technical solution of the present invention, the user intention recognition performed by the cloud computing center includes the following steps:
s11, voice recognition: the cloud computing center performs voice recognition on the user control voice to convert the user voice into a text instruction;
s12, natural language processing: the cloud computing center carries out natural language processing on the converted text instruction, and analyzes the intention and the demand of the user;
s13, intelligent control: the cloud computing center sends corresponding control instructions to the edge computing module according to the intention and the demand of the user;
s14, feeding back a result: after the operation is completed, the cloud computing center feeds back an operation result to the voice interaction module, and feeds back the result to a user through the voice interaction module.
As a preferred technical scheme of the invention, the cloud computing center is also used for mining the association relation between the user voice and the control instruction and generating a control association rule;
the generation of the control association rule comprises the following steps:
s21, collecting a control instruction for completing the operation and matched user voice;
s22, combining the user voice into a term set according to the control instruction category, and constructing a user voice database;
s23, excavating a frequent item set in a user voice database;
and S24, carrying out feature extraction according to the search condition data corresponding to the frequent item set, and generating a control association rule.
As a preferred technical scheme of the invention, the condition data comprises a time node, an environmental condition, an intelligent device and a personality control.
The beneficial effects of the invention are as follows:
(1) The router state and the network security can be monitored in real time through the network monitoring unit, and the execution strategy is selected according to the monitoring result, so that when the network security is threatened, the system can be timely alarmed and suspended, the threat can be effectively restrained from spreading and spreading, and the user data security is further ensured.
(2) The intelligent household environment monitoring system is provided with the edge computing module, and when a network fails, the intelligent household environment monitoring system realizes the autonomous regulation and control of the environment conditions and the control command of the user voice by executing the regulation and control strategy and the control association rule, thereby ensuring that the intelligent household environment monitoring system completes the basic control of the user on the intelligent equipment in a disconnected network state and realizing the regulation of the indoor environment.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a schematic structural diagram of an intelligent home environment monitoring system according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention for achieving the preset aim, the following detailed description is given below of the specific implementation, structure, characteristics and effects according to the invention with reference to the attached drawings and the preferred embodiment.
Referring to fig. 1, an intelligent home environment monitoring system includes an edge computing module, a network monitoring unit, a bluetooth Mesh module, a wireless communication unit and a voice interaction module;
the network monitoring unit, the Bluetooth Mesh module, the wireless communication unit and the voice interaction module are all connected with the edge calculation module, and the wireless communication unit is also connected with a cloud calculation center;
the edge calculation module is used for executing a regulation strategy set by a user and an automatic control strategy of the edge calculation module; specifically, the automatic control strategy includes:
the network state evaluation is carried out by monitoring the real-time data of the network monitoring unit, when the network state is good, the control data information of the user is uploaded to the cloud computing center after being processed, and the control association rule is updated in time;
and when the network state fails, the autonomous regulation and control of the environmental conditions are finished according to the regulation and control strategy set by the user, and the control command of the user voice is finished by executing the control association rule.
It is understood that a network state failure refers to a router failure and the existence of a network security threat. The regulation strategy set by the user refers to the environment regulation operation set by the user, such as setting the air conditioner to be turned on when the indoor temperature reaches 29 ℃, and turning on the dehumidifier when the indoor humidity reaches 80%.
It should be noted that, to ensure the security and privacy of the data uploaded to the cloud computing center, the processing of the user control voice before uploading specifically includes:
(1) Accent and noise removal: and removing accent and noise in the user voice by adopting a voice processing technology so as to improve the precision and accuracy of the cloud computing center on the user voice recognition. Personal sensitive information such as name, telephone number, home address, etc. is removed.
(2) Data processing encryption: removing personal sensitive information such as name, telephone number, home address, etc.; the user control voice is encrypted and transmitted by using a security protocol, so that the data is prevented from being intercepted or tampered.
(3) Anonymization processing: the user ID is replaced with a virtual ID so that the uploaded data cannot be directly associated with a specific user.
The network monitoring unit is used for router monitoring and network security monitoring and transmitting monitoring results to the edge computing module in real time; specifically, the router monitoring includes monitoring the state of the router, the load of the CPU, the use condition of the memory and the like; the network security monitoring comprises the steps of monitoring threats such as network attacks and malicious software, and when the network security threats occur, sending alarm information to a user through an edge computing module and immediately suspending the operation of the intelligent home environment monitoring system so as to prevent the attacks or the malicious software from being further spread and destroyed.
The Bluetooth Mesh module is used for connecting the intelligent home environment monitoring equipment and transmitting data in the Bluetooth Mesh network to the edge computing module.
It should be noted that, in some intelligent devices for environmental monitoring, in order to achieve the characteristics of low power consumption, low cost and portable installation, the intelligent device is usually provided with a bluetooth module to achieve connection with an intelligent home environmental monitoring system, so that a bluetooth Mesh module is required to be provided in the intelligent home environmental monitoring system, thereby achieving intercommunication with the intelligent device, and meanwhile, cross-device connection of the system can be achieved based on the bluetooth Mesh module.
It is understood that the intelligent home environment monitoring equipment comprises an intelligent air purifier, an intelligent hygrothermograph, an intelligent smoke alarm, an intelligent noise monitor, an intelligent water quality detector, an intelligent health monitoring equipment and the like. Specifically, the intelligent air purifier can detect the content of harmful substances such as indoor PM2.5, formaldehyde and the like, and the wind speed and the mode can be automatically adjusted through the edge calculation module; the intelligent hygrothermograph can detect indoor temperature and humidity in real time, and control other environment adjusting equipment such as an air conditioner, a fan and the like is realized through the edge computing module; the intelligent smoke alarm can sense indoor smoke concentration and realize alarm operation through the edge calculation module; the intelligent noise monitor can monitor indoor noise conditions; the intelligent water quality detector can detect the water quality of tap water; the intelligent health monitoring device may detect human health data.
The wireless communication unit is used for realizing data exchange between the edge computing module and the cloud computing center in a wireless mode.
It can be understood that the intelligent home environment monitoring system can be accessed to the Internet through the wireless communication unit, and the functions of remote access, real-time monitoring, intelligent control and the like are realized. Specifically, in order to meet more control demands of users, intelligent control under a network normal state is based on automatic control of intelligent home environment monitoring equipment realized by a cloud computing center.
The voice interaction module is used for collecting voice instruction data of a user and sending the voice instruction data to the edge calculation module, and simultaneously feeding back an operation result to the user;
and the cloud computing center performs user intention recognition through the received control data information and generates a control instruction of the intelligent home environment monitoring equipment.
It should be noted that the control data information includes user control voice collected by the voice interaction module and a control instruction sent by the user terminal to the cloud computing center. Specifically, the cloud computing center performs user intention recognition, including the following steps:
s11, voice recognition: the cloud computing center performs voice recognition on the user control voice to convert the user voice into a text instruction;
s12, natural language processing: and the cloud computing center carries out natural language processing on the converted text instruction, and analyzes the intention and the demand of the user.
Specifically, natural language processing includes word segmentation, part-of-speech tagging, named entity recognition, dependency syntactic analysis, semantic role tagging, and context-specific semantic parsing. The word segmentation is to divide a human voice output sequence into word sequences which can be processed in batches by a computer; the part of speech tagging is to assign part of speech to words in the sentence; named entity recognition refers to extracting entity nouns with specific categories from language texts; dependency grammar is a higher level language component relationship analysis based on understanding word components; semantic role labeling is to judge semantic roles of sentence components, including subjects, predicates, objects, time, places and the like, according to the analysis content of certain phrases in a given sentence; semantic dependency analysis enables semantic association between linguistic units between different sentences and clearly presents associated dependency structures.
S13, intelligent control: and the cloud computing center sends corresponding control instructions to the edge computing module according to the intention and the requirement of the user.
S14, feeding back a result: after the operation is completed, the cloud computing center feeds back an operation result to the voice interaction module, and feeds back the result to a user through the voice interaction module.
The cloud computing center is also used for mining the association relation between the user voice and the control instruction and generating a control association rule. Specifically, the generation of the control association rule includes the following steps:
s21, collecting a control instruction for completing the operation and matched user voice;
s22, combining the user voice into a term set according to the control instruction category, and constructing a user voice database;
s23, excavating a frequent item set in a user voice database;
and S24, carrying out feature extraction according to the search condition data corresponding to the frequent item set, and generating a control association rule.
It should be noted that, the association rule mining algorithm, such as Apriori or FP-Growth algorithm, is used to mine the frequent item set in the user voice database, which is not described herein. Specifically, in step S24, the condition data includes a time node, an environmental condition, an intelligent device, and a personality control, where the time node refers to a specific time period for a user to control the intelligent device, such as a time period for a next shift, when the user arrives at home, an air conditioner, a humidifier, an air purifier, and the like are turned on; the environmental condition is an indoor environmental real-time value corresponding to the control instruction sent by the user; the intelligent equipment is controllable equipment accessed by the user in the intelligent home environment monitoring system; the personality control refers to a control habit of the user, such as adjusting the color temperature of the light, which is unique to the user due to life habits and personal preferences.
It can be appreciated that during the operation of the system, the cloud computing center updates the control association rule according to the collected information interval and sends the control association rule to the edge computing module.
The router state and the network security can be monitored in real time through the network monitoring unit, and the execution strategy is selected according to the monitoring result, so that when the network security is threatened, the system can be timely alarmed and suspended, the threat can be effectively restrained from spreading and spreading, and the user data security is further ensured.
The intelligent household environment monitoring system is provided with the edge computing module, when a network fails, the autonomous regulation and control of the environmental conditions and the control command of the user voice are realized by executing the regulation and control strategy and the control association rule, so that the intelligent household environment monitoring system is ensured to complete the basic control of the user on the intelligent equipment in a broken network state, the regulation of the indoor environment is realized, and the paralysis of the intelligent household environment monitoring system is avoided.
The present invention is not limited to the above embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present invention.
Claims (10)
1. An intelligent home environment monitoring system, which is characterized in that: the system comprises an edge computing module, a network monitoring unit, a Bluetooth Mesh module, a wireless communication unit and a voice interaction module;
the network monitoring unit, the Bluetooth Mesh module, the wireless communication unit and the voice interaction module are all connected with the edge calculation module, and the wireless communication unit is also connected with a cloud calculation center;
the edge calculation module is used for executing a regulation strategy set by a user and an automatic control strategy of the edge calculation module; specifically, the automatic control strategy includes:
the network state evaluation is carried out by monitoring the real-time data of the network monitoring unit, when the network state is good, the control data information of the user is uploaded to the cloud computing center after being processed, and the control association rule is updated in time;
when the network state fails, the autonomous regulation and control of the environmental conditions are completed according to the regulation and control strategy set by the user, and the control command of the user voice is completed by executing the control association rule;
and the cloud computing center performs user intention recognition through the received control data information and generates a control instruction of the intelligent home environment monitoring equipment.
2. The intelligent home environment monitoring system according to claim 1, wherein: the control data information comprises user control voice collected by the voice interaction module and a control instruction sent by the user terminal to the cloud computing center;
the processing of the user-controlled speech comprises: stress and noise are removed, data processing encryption and anonymization processing are performed.
3. The intelligent home environment monitoring system according to claim 1, wherein: the network state faults are specifically router faults and network security threats.
4. The intelligent home environment monitoring system according to claim 1, wherein: the network monitoring unit is used for router monitoring and network security monitoring and transmitting monitoring results to the edge computing module in real time;
the router monitoring comprises monitoring the state of the router, CPU load and memory use condition; the network security monitoring includes monitoring for network attacks and threats of malware.
5. The intelligent home environment monitoring system according to claim 1, wherein: the Bluetooth Mesh module is used for connecting the intelligent home environment monitoring equipment and transmitting data in the Bluetooth Mesh network to the edge computing module.
6. The intelligent home environment monitoring system according to claim 1, wherein: the wireless communication unit is used for realizing data exchange between the edge computing module and the cloud computing center in a wireless mode.
7. The intelligent home environment monitoring system according to claim 1, wherein: the voice interaction module is used for collecting voice instruction data of a user and sending the voice instruction data to the edge calculation module, and simultaneously feeding back an operation result to the user.
8. The intelligent home environment monitoring system according to claim 1, wherein: the cloud computing center performs user intention recognition, which comprises the following steps:
s11, voice recognition: the cloud computing center performs voice recognition on the user control voice to convert the user voice into a text instruction;
s12, natural language processing: the cloud computing center carries out natural language processing on the converted text instruction, and analyzes the intention and the demand of the user;
s13, intelligent control: the cloud computing center sends corresponding control instructions to the edge computing module according to the intention and the demand of the user;
s14, feeding back a result: after the operation is completed, the cloud computing center feeds back an operation result to the voice interaction module, and feeds back the result to a user through the voice interaction module.
9. The intelligent home environment monitoring system of claim 8, wherein: the cloud computing center is also used for mining the association relation between the user voice and the control instruction and generating a control association rule;
the generation of the control association rule comprises the following steps:
s21, collecting a control instruction for completing the operation and matched user voice;
s22, combining the user voice into a term set according to the control instruction category, and constructing a user voice database;
s23, excavating a frequent item set in a user voice database;
and S24, carrying out feature extraction according to the search condition data corresponding to the frequent item set, and generating a control association rule.
10. The intelligent home environment monitoring system of claim 9, wherein: the condition data includes a time node, an environmental condition, an intelligent device, and a personality control.
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