CN115542754A - Intelligent control system for home gateway - Google Patents
Intelligent control system for home gateway Download PDFInfo
- Publication number
- CN115542754A CN115542754A CN202111411952.9A CN202111411952A CN115542754A CN 115542754 A CN115542754 A CN 115542754A CN 202111411952 A CN202111411952 A CN 202111411952A CN 115542754 A CN115542754 A CN 115542754A
- Authority
- CN
- China
- Prior art keywords
- intelligent home
- network
- data
- control system
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 claims abstract description 32
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 230000005540 biological transmission Effects 0.000 claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 230000000007 visual effect Effects 0.000 claims abstract description 7
- 238000000605 extraction Methods 0.000 claims abstract description 5
- 230000007246 mechanism Effects 0.000 claims description 13
- 238000011156 evaluation Methods 0.000 claims description 9
- 230000006855 networking Effects 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000013519 translation Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 2
- 230000001934 delay Effects 0.000 claims 1
- 238000004891 communication Methods 0.000 abstract description 11
- 238000000034 method Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 3
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to the technical field of intelligent home, in particular to a home gateway intelligent control system. The invention establishes a network state visual interface; the network state visual interface comprises a remote household equipment monitoring module, a flow acquisition and early warning module and a network safety protection module. According to the method, the intermediate processing node is established between the data transmission of the intelligent home and the cloud server, the communication delay in the using process of the intelligent home equipment is reduced by using a distributed data processing and transmission mode, and meanwhile, a data flow classification characteristic extraction method is established for the intelligent home network abnormity detection to better monitor the problems of network occupation and low speed caused by network abnormity hidden in the network transmission data flow.
Description
Technical Field
The invention relates to the technical field of smart home, and IPC (International Industrial Standard) classification numbers are as follows: G05B15/02, in particular to a home gateway intelligent control system.
Background
At the present stage, along with the popularization and the use of smart homes, the control and the safety of the smart homes gradually become the key points of attention of people, the communication safety of the smart homes not only threatens the privacy of residents, but also causes the abnormity and paralysis of the network, so the optimization is performed on the basis of the traditional home gateway intelligent control system, and the improvement of the optical network linked with home equipment and the flow acquisition and real-time early warning functions are very important.
Patent CN201611086029 provides a network connection method and intelligent home gateway of intelligent home equipment, when an equipment in the intelligent home is updated, can inform other equipment in the intelligent home automatically, and this equipment will inform the connection mode of automatic update networking according to the update to realize automatic one-click update mode, need not artifical the participation.
Patent CN201910959528 provides a method and device for using an intelligent home, which determine a standby state of the intelligent home when executing a task by extracting intelligent attribute values of each device in the intelligent home, and reasonably schedule the intelligent home according to a working state and the standby state, so as to improve network utilization efficiency of the intelligent home.
However, the above patents do not better solve the problem of communication blockage and delay caused by too many devices and too large data volume in the smart home networking, and cannot fundamentally realize the rapid upgrade of the smart home devices. Therefore, aiming at the problems existing in the network structure of the existing intelligent home, a home gateway intelligent control system is urgently needed to be provided, the problems of data congestion in a communication network are relieved by establishing an intermediate data processing node and preprocessing the use and update data of the intelligent home, and the problems of data delay, data jitter and the like in the use process of the intelligent home are avoided.
Disclosure of Invention
Aiming at the existing problems, the invention provides an intelligent control system of a home gateway, which specifically comprises a remote household equipment monitoring module, a flow acquisition and early warning module and a network safety protection module, and carries out monitoring and interactive control through a network state visual interface.
Preferably, the remote household equipment monitoring module establishes an external network physical interface in the router to connect with the internet by establishing a network layered processing mechanism, decodes and connects with the intelligent household equipment through a wifi protocol, and uploads the running data of the intelligent household equipment to the intermediate processing node.
Preferably, the remote household equipment monitoring module establishes an external network physical interface in the router to connect with the internet by establishing a network layered processing mechanism, decodes and connects with the intelligent household equipment through a wifi protocol, and uploads the running data of the intelligent household equipment to the intermediate processing node.
Preferably, the network hierarchical processing mechanism transmits data to the cloud server through a node on the upper layer in the first layer to perform data processing on the second layer; the second layer of data processing comprises global data storage, global data analysis and data output of the intelligent household equipment.
Preferably, the traffic collection and early warning module comprises intelligent home network anomaly detection, intelligent home network anomaly early warning and intelligent home networking traffic monitoring.
Preferably, the intelligent home network anomaly detection is implemented by establishing a data stream classification feature extraction method, dividing a plurality of data streams related to the intelligent home equipment into branches with different features, extracting feature parameters of data packets in the branches, and performing real-time anomaly data detection on the feature parameters.
Preferably, the intelligent home network abnormity early warning is implemented by establishing an active alarm mechanism by using a machine learning method.
Preferably, the active alarm mechanism counts the success and failure request amount sent every minute by monitoring the weblog data in real time, and calculates the statistical abnormal value index by taking the average request delay as an evaluation element, establishing a weight index according to the evaluation element, and calculating the evaluation element according to the weight index.
Preferably, the intelligent home networking traffic monitoring is used for monitoring the bandwidth occupied by each home device in real time and isolating the home devices which may affect the network quality.
Preferably, the home gateway intelligent control system further comprises a local area network data transmission module, a network address translation module and a home terminal automatic control module.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, the intermediate processing node is established between the data transmission of the smart home and the cloud server, so that a large amount of data and update service are transmitted to the cloud server and then stored after being processed in advance at the intermediate processing node, the problems of flow overhead, data transmission delay and data transmission jitter caused by the principle of the smart home equipment of the cloud server due to overlarge data transmission quantity are avoided, and the communication delay in the using process of the smart home equipment is reduced by using a distributed data processing and transmission mode.
(2) The invention establishes a data flow classification characteristic extraction method for intelligent home network anomaly detection, so as to better monitor the problems of network occupation and low speed caused by network anomaly hidden in network transmission data flow, the detection speed of the improved network anomaly detection method is higher, and the detected abnormal value is more accurate.
Drawings
Fig. 1 is a system block diagram of a home gateway intelligent control system.
Detailed Description
The intelligent control system for the home gateway specifically comprises a remote household equipment monitoring module, a flow acquisition and early warning module and a network safety protection module, and is used for monitoring and interactive control through a network state visual interface.
In a preferred embodiment, the visual interface can perform touch control options by establishing a GUI human-computer interaction device, and select the network working state of the smart home device to be queried according to the options.
In one implementation mode, the remote household device monitoring module establishes a network layered processing mechanism, establishes an external network physical interface in the router to connect with the internet, decodes and connects with the intelligent household device through a wifi protocol, and uploads the running data of the intelligent household device to the intermediate processing node.
In one embodiment, the intermediate processing node performs a first layer of data processing on the smart home device; the first layer of data processing comprises intelligent home data analysis, intelligent home data calculation, air interface support and data output.
In a preferred embodiment, the first layer of data processing can be directly transmitted to a visual interface for monitoring, and compared with the mode that data is directly transmitted to a cloud server for processing, the intermediate processing node is closer to the intelligent household equipment, so that data delay caused by remote data transmission is avoided, and meanwhile, the data transmission rate is improved.
In one embodiment, the first layer of data is transmitted to a cloud server through a previous layer of node, and is subjected to second layer of data processing; the second layer of data processing comprises global data storage, global data analysis and data output of the intelligent household equipment.
In one embodiment, the traffic collection and early warning module comprises intelligent home network anomaly detection, intelligent home network anomaly early warning and intelligent home networking traffic monitoring.
In an embodiment, the intelligent home network anomaly detection is implemented by establishing a data stream classification feature extraction method, dividing a plurality of data streams related to the intelligent home device into branches with different features, extracting feature parameters of data packets in the branches, and performing real-time anomaly data detection on the feature parameters.
In one embodiment, the intelligent home network abnormality early warning is implemented by establishing an active warning mechanism by using a machine learning method.
In one embodiment, the active alarm mechanism calculates the number of successful and failed requests sent per minute by monitoring the weblog data in real time, and the average request delay as evaluation elements, establishes a weight index according to the evaluation elements, and calculates a statistical outlier index for the evaluation elements according to the weight index.
In one embodiment, the intelligent home networking traffic monitoring is used for monitoring the bandwidth occupied by each home device in real time and isolating the home devices which may affect the network quality.
Specifically, the intelligent home networking traffic monitoring further comprises network speed monitoring, network state monitoring of each home device and the like, and when the fact that the network communication module of the intelligent terminal home device is abnormal is detected, the communication address of the device can be automatically isolated, and meanwhile automatic alarming is achieved.
In one embodiment, the intelligent control system further comprises a local area network data transmission module, a network address translation module and a home terminal automatic control module.
In a preferred embodiment, the local area network data transmission module realizes control and data transmission of a home sensor through a bluetooth and zigbee communication transmission mode, wherein the home sensor comprises a temperature and humidity sensor, an air quality sensor and the like; the network address translation module normalizes the communication protocol of each intelligent home and converts the communication protocol into a unified communication format for data transmission, and the home terminal automatic control module can automatically upgrade the intelligent home equipment.
Claims (10)
1. The intelligent control system for the home gateway is characterized by comprising a remote household equipment monitoring module, a flow acquisition and early warning module and a network safety protection module, and is used for monitoring and interactive control through a network state visual interface.
2. The intelligent home gateway control system according to claim 1, wherein the remote home device monitoring module establishes an external network physical interface in the router to connect with the internet by establishing a network layered processing mechanism, and decodes and connects with the intelligent home devices through a wifi protocol to upload the operating data of the intelligent home devices to the intermediate processing node.
3. The intelligent home gateway control system according to claim 2, wherein the intermediate processing node performs a first layer of data processing on the smart home device in a network hierarchical processing mechanism; the first layer of data processing comprises intelligent home data analysis, intelligent home data calculation, air interface support and data output.
4. The intelligent home gateway control system according to claim 2 or 3, wherein the network hierarchical processing mechanism transmits data to the cloud server through the upper layer node in the first layer for second layer data processing; the second-layer data processing comprises global data storage, global data analysis and data output of the intelligent household equipment.
5. The intelligent home gateway control system according to claim 1, wherein the traffic collection and early warning module comprises intelligent home network anomaly detection, intelligent home network anomaly early warning, and intelligent home networking traffic monitoring.
6. The intelligent home gateway control system according to claim 5, wherein the intelligent home network anomaly detection is performed by establishing a data stream classification feature extraction method, dividing a plurality of data streams related to the intelligent home device into branches with different features, extracting feature parameters of data packets in each branch, and performing real-time anomaly data detection on the feature parameters.
7. The intelligent home gateway control system according to claim 5, wherein the intelligent home network abnormality early warning is implemented by establishing an active alarm mechanism by using a machine learning method.
8. The intelligent home gateway control system according to claim 7, wherein the active alarm mechanism is configured to count success and failure requests sent every minute by monitoring weblog data in real time, and count average request delays as evaluation elements, establish weighting indexes according to the evaluation elements, and count abnormal value indexes for the calculation of the weighting indexes on the evaluation elements.
9. The intelligent home gateway control system according to claim 5, wherein the monitoring of the flow of the intelligent home networking monitors the bandwidth occupied by each home device in real time, and isolates home devices that may affect the network quality.
10. The intelligent home gateway control system of claim 1, further comprising a local area network data transmission module, a network address translation module and a home terminal automatic control module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111411952.9A CN115542754A (en) | 2021-11-25 | 2021-11-25 | Intelligent control system for home gateway |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111411952.9A CN115542754A (en) | 2021-11-25 | 2021-11-25 | Intelligent control system for home gateway |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115542754A true CN115542754A (en) | 2022-12-30 |
Family
ID=84722901
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111411952.9A Pending CN115542754A (en) | 2021-11-25 | 2021-11-25 | Intelligent control system for home gateway |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115542754A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116599787A (en) * | 2023-07-17 | 2023-08-15 | 中通服建设有限公司 | Intelligent household environment monitoring system |
CN117394943A (en) * | 2023-12-11 | 2024-01-12 | 深圳市华腾智能科技有限公司 | Operation method and system for distributed control intelligent switch panel |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1893437A (en) * | 2005-07-01 | 2007-01-10 | 中国科学院声学研究所 | Stream-media business transmission platform system based on transmission network |
CN108809970A (en) * | 2018-05-29 | 2018-11-13 | 华南理工大学 | A kind of safety protecting method of smart home security gateway |
CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
CN111726303A (en) * | 2019-03-22 | 2020-09-29 | 阿里巴巴集团控股有限公司 | Flow control method and device and computing equipment |
CN111880430A (en) * | 2020-08-27 | 2020-11-03 | 珠海格力电器股份有限公司 | Control method and device for intelligent household equipment |
CN111913450A (en) * | 2020-08-04 | 2020-11-10 | 青岛海信日立空调系统有限公司 | Control method of intelligent household equipment, intelligent household system and gateway thereof |
CN112650166A (en) * | 2020-12-14 | 2021-04-13 | 云南迦南飞奇科技有限公司 | Production line condition big data system based on wireless network and diagnosis method thereof |
-
2021
- 2021-11-25 CN CN202111411952.9A patent/CN115542754A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1893437A (en) * | 2005-07-01 | 2007-01-10 | 中国科学院声学研究所 | Stream-media business transmission platform system based on transmission network |
CN108809970A (en) * | 2018-05-29 | 2018-11-13 | 华南理工大学 | A kind of safety protecting method of smart home security gateway |
CN111726303A (en) * | 2019-03-22 | 2020-09-29 | 阿里巴巴集团控股有限公司 | Flow control method and device and computing equipment |
CN110336703A (en) * | 2019-07-12 | 2019-10-15 | 河海大学常州校区 | Industrial big data based on edge calculations monitors system |
CN111913450A (en) * | 2020-08-04 | 2020-11-10 | 青岛海信日立空调系统有限公司 | Control method of intelligent household equipment, intelligent household system and gateway thereof |
CN111880430A (en) * | 2020-08-27 | 2020-11-03 | 珠海格力电器股份有限公司 | Control method and device for intelligent household equipment |
CN112650166A (en) * | 2020-12-14 | 2021-04-13 | 云南迦南飞奇科技有限公司 | Production line condition big data system based on wireless network and diagnosis method thereof |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116599787A (en) * | 2023-07-17 | 2023-08-15 | 中通服建设有限公司 | Intelligent household environment monitoring system |
CN116599787B (en) * | 2023-07-17 | 2023-10-03 | 中通服建设有限公司 | Intelligent household environment monitoring system |
CN117394943A (en) * | 2023-12-11 | 2024-01-12 | 深圳市华腾智能科技有限公司 | Operation method and system for distributed control intelligent switch panel |
CN117394943B (en) * | 2023-12-11 | 2024-02-20 | 深圳市华腾智能科技有限公司 | Operation method and system for distributed control intelligent switch panel |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106130796B (en) | SDN network topology traffic visualization monitoring method and control terminal | |
WO2017202159A1 (en) | Wide-area stable communication apparatus and method having intelligent identification function | |
CN115542754A (en) | Intelligent control system for home gateway | |
CN101610178B (en) | Method for obtaining physical layer link network topology based on address forwarding mechanism | |
CN101567814B (en) | Automatic network management method based on SNMP and stochastic Petri net | |
CN104038371B (en) | A kind of electric power communication transmission network adaptive performance acquisition method | |
CN104168148B (en) | A kind of multi-interface data harvester and acquisition method | |
CN107404421A (en) | Flow monitoring, monitoring and managing method and system | |
CN105790990B (en) | A kind of method and its system for supervising adapted telecommunication business | |
CN110995783B (en) | Remote monitoring system | |
CN111049843A (en) | Intelligent substation network abnormal flow analysis method | |
CN110445671B (en) | Network traffic monitoring method based on SDN | |
CN111866006A (en) | Internet of things supervision system and method | |
CN107918273A (en) | A kind of application system of mobile technology of Internet of things on halved belt sorter | |
CN107632557A (en) | A kind of intelligent water pump controller gateway based on Internet of Things | |
CN110220273A (en) | A kind of Heating,Ventilating and Air Conditioning monitor supervision platform and its control method based on Internet of Things | |
CN112003753B (en) | Expected value judgment, acquisition, transmission and monitoring system and method based on configurable gateway | |
CN111835595B (en) | Flow data monitoring method, device, equipment and computer storage medium | |
CN113722182B (en) | Parallel asynchronous efficient acquisition and analysis method and system thereof | |
CN113783710B (en) | Process layer network fault positioning method and device based on self-learning criteria | |
CN112887412A (en) | Distributed network control system and control method based on SDN and edge computing technology | |
CN204086959U (en) | PREDICTIVE CONTROL realizes field produces well pattern intelligence managing and control system | |
CN106603396A (en) | Internet-of-Things access gateway based on bus type data exchange | |
CN205485535U (en) | Automatic remote monitoring and management system of city building | |
CN105515841B (en) | Snmp information acquisition systems and monitoring method based on FPGA |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |