CN202257228U - IOT (internet of things) application system integrally and intelligently controlled by natural light and artificial light source - Google Patents
IOT (internet of things) application system integrally and intelligently controlled by natural light and artificial light source Download PDFInfo
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- CN202257228U CN202257228U CN2011203469554U CN201120346955U CN202257228U CN 202257228 U CN202257228 U CN 202257228U CN 2011203469554 U CN2011203469554 U CN 2011203469554U CN 201120346955 U CN201120346955 U CN 201120346955U CN 202257228 U CN202257228 U CN 202257228U
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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]
Abstract
The utility model relates to an IOT (internet of things) application system integrally and intelligently controlled by natural light and an artificial light source. The IOT application system comprises at least one Zigbee network, wherein the Zigbee network comprises a plurality of sensor modules, a Zigbee terminal, light guide equipment, an electric curtain and artificial illuminating equipment which are distributed in a controlled region, wherein the sensor modules are used for collecting field environmental parameter signals in real time and sending the collected environmental parameter signals to the Zigbee terminal; the Zigbee terminal is used for uploading the environmental parameter signals to coordinators through a ZigBee wireless communication device; each coordinator is used for uploading the environmental parameter signals to a control centre; and the Zigbee terminal is used for receiving control instructions sent by the control centre and the coordinators through the ZigBee wireless communication device and controlling the light guide equipment, the electric curtain and the artificial illuminating equipment through a control execution mechanism. A whole set of control network architecture is established in the IOT application system disclosed by the utility model, therefore, a good hardware platform is set up for establishing a fuzzy neural network and a chaos perturbation nonlinear control method.
Description
Technical field
The utility model relates to a kind of Optimizing Control System, specifically relates to a kind of Internet of Things application system with natural light and artificial light source Comprehensive Control.
Background technology
Wireless sensor network is just begin gradually recent years to grow up an emerging research field of computer science and technology, has very wide application prospect, has caused the great attention of academia and industry member.Wireless sensor network integrated sensor, microprocessor and wireless communication technology three big new and high technologies; Be that a kind of brand-new information is obtained and treatment technology, proposed a large amount of challenge research topics to the scientific worker in basic theory and two aspects of engineering.
Come from several military field engineering projects of the U.S. the earliest about the research of wireless sensor network, developed into civil area afterwards gradually.Played the report that begins to occur relevant wireless sensor network achievement in research in the world in 1999.Originally research is various sensor nodes of exploitation and research platform mostly, the representational WINS node that UCLA and the development of Rockwell robotization center are arranged, the Smart Dust node of UC Berkeley and Motes node etc.Wherein Motes hardware platform and supporting TmyOS operating system thereof are used the most extensive.Under the promotion of U.S. natural science fund committee, schools such as California, USA university Bai Keli branch school, Massachusetts Institute of Technology (MIT), Cornell University, University of California in Los Angeles have begun the research of the basic theory and the gordian technique of sensor network.Some universities and the research institution of countries such as Britain, Japan, Italy have also carried out the research work in this field one after another.Many colleges and universities (like Xian Electronics Science and Technology University, Harbin Institute of Technology etc.) of China have also begun Research on sensor networks.Present research mainly concentrates in the research of sensor network technique and communication protocol, has also carried out some perception data query processing Study on Technology, has obtained some Primary Study results.
At present more and more deep to the relevant issues research of application such as the MAC agreement of wireless sensor network, Routing Protocol, information processing, data query, deployment covering and middleware, colleges and universities both domestic and external and scientific research institution launch the research work in these fields one after another.University of California Berkeley proposed the method for the connective reconstruct sensing station of application network, based on the sensor Data Coding Scheme of correlativity, with the sparse sensor network reconfiguration is followed the tracks of time dependent continuous stream method for visualizing on the method that moves the object route, the sensor network, DATA DISTRIBUTION formula when allowing system-level optimization on generally the dissolving of efficient communication mechanism, the sensor network is stored geographical Hash table method, confirm the distributed algorithm of node location in the sensor network etc., and developed a TinyOS of sensor operated system.The begin one's study problem of ultralow energy wireless sensor network of Massachusetts Institute of Technology (MIT) attempts to solve the methodology and the technical matters of ultralow energy wireless sensor system.
Comparatively speaking, the research of domestic sensor network system aspect is started late, and just receives extensive concern in recent years.Research units such as Institute of Computing Technology, CAS, Institute of Automation, CAS, the Software Institute of Chinese Academy of Sciences, Tsing-Hua University, Beijing Jiaotong University and colleges and universities have also carried out a large amount of work aspect wireless sensor network; Mainly be engaged in the design, wireless communication protocol stack of layering and the network node of communication protocol, synchronously and the applied research of location middleware, data fusion, low-power consumption and high security design, network management, QAT and specific industry, believe to have more universities and colleges and research institute identifies oneself with Research on sensor networks.Wireless sensor network node GAINZ by the cooperative development of the Computer Department of the Chinese Academy of Science and Ningbo branch is based on the 2.4G frequency range, supports its corresponding operating system of product and the management platform of Zigbee communication protocol all to have domestic scientific payoffs and the characteristic that has also formed oneself like colleges and universities such as Chinese Academy of Sciences's Shenyang Institute of Automation, the Software Institute of Chinese Academy of Sciences, Tsing-Hua University, Zhejiang University, Harbin Institute of Technology and scientific research institution in succession in fields such as wireless sensor network protocols, operating system and emulation platforms of independent intellectual property right.
The natural light optical illumination is the external a kind of novel lighting apparatus that develops that is studied at the end of the eighties; This lighting device need not conventional energy resources just can provide illumination for daytime is indoor, reduces the environmental pollution that brought by conventional energy resources, and light source is taken from the outdoor natural light line; After special transmission and distributing; Importing to the indoor place that needs light, obtain the special lighting effect brought by natural light, is the novel illumination product of a kind of green health, energy-conserving and environment-protective.
The optical illumination technology has been the technology of comparative maturity abroad, and the Britain Ministry of Education expressly provides: all classrooms must reach 4% daylight factor, and accomplish natural ventilation as far as possible; But the application in China still belongs to blank.The optical illumination system is widely used in buildings such as industrial and mineral factory building, school, hospital, supermarket, market, stadiums, exhibition center, aquarium, museum, government house, prison, aircraft venue, railway station waiting room, bus station waiting room, subway, light rail, all kinds of mobile room, underpass, hotel, hotel, home dwelling, villa, luxury clubhouse; Or indoor light is dark but need large tracts of land daylighting and room with good ventilation, basement or underground garage those on daytime; Obtain natural lighting and natural ventilation; Can significantly reduce building energy consumption, healthy work living environment is provided.
Summary of the invention
The purpose of the utility model provides a kind of Internet of Things application system of carrying out auto-control to natural light, light guide, electrically driven curtain and artificial light source.
For realizing above-mentioned purpose, the utility model adopts following technical scheme:
The utility model comprises at least one Zigbee network, and described Zigbee network comprises plurality of sensors module, Zigbee terminal, photoconductive device, electrically driven curtain and the artificial light equipment in the zone of controlling that is distributed in; Wherein, The environmental parameter signals of the real-time collection site of sensor assembly; And the environmental parameter signals that collects sent to the Zigbee terminal; The Zigbee terminal is uploaded to telegon through the ZigBee wireless communication apparatus with environmental parameter signals, and each telegon is uploaded to control center with environmental parameter signals; The steering order that the Zigbee terminal issues through ZigBee wireless communication apparatus reception control center and telegon, and through control executing mechanism control photoconductive device, electrically driven curtain and artificial light equipment.
Described telegon is uploaded to control center through control bus with environmental parameter signals; Described control bus is RS485 bus or industry ethernet.
Described telegon is uploaded to control center through GPRS network or 3G network with environmental parameter signals.
Described sensor assembly comprises any one or a few combination in illuminance transducer, infrared sensor, temperature sensor, the humidity sensor.
Described control executing mechanism is an electric-controlled switch.
Adopt the utility model of technique scheme, set up a whole set of Control Network framework, thereby for setting up fuzzy neural network and chaos perturbation nonlinear control method has been built good hardware platform.The utility model is based on the Zigbee network of a large amount of sensors as numerous nodes; The node number is greater than 1000 Zigbee network, and each node can have temperature, humidity; Infrared; Multiple sensors such as illumination, major function are the detection and the Based Intelligent Control of environment temperature, humidity, illumination etc., the detection of natural light and artificial light source and Based Intelligent Control.
Description of drawings
Fig. 1 is the one-piece construction block diagram of the utility model.
Embodiment
As shown in Figure 1, the utility model comprises at least one Zigbee network, and above-mentioned Zigbee network comprises plurality of sensors module, Zigbee terminal, photoconductive device, electrically driven curtain and the artificial light equipment in the zone of controlling that is distributed in; Wherein, Sensor assembly comprises any one or a few combination in illuminance transducer, infrared sensor, temperature sensor, the humidity sensor; The environmental parameter signals of their real-time collection sites; And the environmental parameter signals that collects sent to the Zigbee terminal, and the Zigbee terminal is uploaded to telegon through the ZigBee wireless communication apparatus with environmental parameter signals, and each telegon is uploaded to control center with environmental parameter signals; The steering order that the Zigbee terminal issues through ZigBee wireless communication apparatus reception control center and telegon, and through control executing mechanism control photoconductive device and artificial light equipment.
The connected mode of above-mentioned telegon and control center has following two kinds: one of which, and telegon is uploaded to control center through control bus with environmental parameter signals, and control bus is RS485 bus or industry ethernet; Its two, telegon is uploaded to control center through GPRS network or 3G network with environmental parameter signals.
In addition, need to prove that the site environment information that each terminal collects in the same Zigbee network realizes that through the telegon of present networks each terminal information is shared; The site environment information that collects in the different Zigbee networks realizes that through control center each terminal information is shared.
The course of work of the utility model is: adopt neural network and the dual control of chaos perturbation.Wherein, fuzzy control and neural network be the most active in the present Based Intelligent Control also be the most fruitful field.Fuzzy logic be fit to be expressed fuzzy or knowledge qualitatively, and its inference mode is similar to people's thoughtcast, but in general fuzzy system lacks self study and adaptive ability.Neural network has parallel computation, distributed information storage, fault-tolerant ability and possesses the adaptive ability of self study, can effectively learn sample, but the canned data indigestion.Fuzzy neural network has combined the advantage of fuzzy control and neural network, makes integrated control unit have the ability of fuzzy reasoning and self study self-organization.Chaos perturbation control is a kind of simple non-Feedback Chaos Control of Real method, and it very is fit to the chaos controlling of non-autonomous system.
The measurement and the monitoring of illumination: according to colour of sky weather and density of personnel control illuminator, comprise the illumination of the light guide, electrically driven curtain and the artificial light source that utilize natural light, realize energy-conservation and illumination hommization.
The measurement of temperature and monitoring: the temperature rise after introducing according to weather temperature, sunshine and the ventilation and the heating and refrigeration equipment of density of personnel control light-guiding system, realize energy-conservation and suitable temperature is provided.
The measurement of humidity and monitoring: the temperature rise after introducing according to weather temperature, sunshine is to the ventilation equipment and the humidification apparatus of the influence control light-guiding system of humidity, realizes energy-conservation and suitable indoor humidity is provided.
Claims (5)
1. the Internet of Things application system of natural light and artificial light source comprehensive intelligent control; It is characterized in that; It comprises: at least one Zigbee network, described Zigbee network comprise plurality of sensors module, Zigbee terminal, photoconductive device, electrically driven curtain and the artificial light equipment in the zone of controlling that is distributed in; Wherein, The environmental parameter signals of the real-time collection site of sensor assembly; And the environmental parameter signals that collects sent to the Zigbee terminal; The Zigbee terminal is uploaded to telegon through the ZigBee wireless communication apparatus with environmental parameter signals, and each telegon is uploaded to control center with environmental parameter signals; The steering order that the Zigbee terminal issues through ZigBee wireless communication apparatus reception control center and telegon, and through control executing mechanism control photoconductive device, electrically driven curtain and artificial light equipment.
2. the Internet of Things application system of natural light according to claim 1 and the control of artificial light source comprehensive intelligent, it is characterized in that: described telegon is uploaded to control center through control bus with environmental parameter signals; Described control bus is RS485 bus or industry ethernet.
3. the Internet of Things application system of natural light according to claim 1 and the control of artificial light source comprehensive intelligent, it is characterized in that: described telegon is uploaded to control center through GPRS network or 3G network with environmental parameter signals.
4. the Internet of Things application system of natural light according to claim 1 and the control of artificial light source comprehensive intelligent, it is characterized in that: described sensor assembly comprises any one or a few combination in illuminance transducer, infrared sensor, temperature sensor, the humidity sensor.
5. the Internet of Things application system of natural light according to claim 1 and the control of artificial light source comprehensive intelligent, it is characterized in that: described control executing mechanism is an electric-controlled switch.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203469554U CN202257228U (en) | 2011-09-16 | 2011-09-16 | IOT (internet of things) application system integrally and intelligently controlled by natural light and artificial light source |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2011203469554U CN202257228U (en) | 2011-09-16 | 2011-09-16 | IOT (internet of things) application system integrally and intelligently controlled by natural light and artificial light source |
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| CN202257228U true CN202257228U (en) | 2012-05-30 |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140337263A1 (en) * | 2013-05-07 | 2014-11-13 | Iotelligent Technology Ltd Inc | Architecture for implementing an improved neural network |
| CN104155961A (en) * | 2014-08-27 | 2014-11-19 | 石成富 | Intelligent home monitoring system and method based on Internet of Things |
| CN105320183A (en) * | 2014-07-17 | 2016-02-10 | 东莞勤上光电股份有限公司 | Lamp system capable of adjusting lighting atmosphere intelligently and method for implementing atmosphere adjustment |
| CN106125704A (en) * | 2016-08-26 | 2016-11-16 | 合肥康胜达智能科技有限公司 | Smart Home air moistening system |
| CN107388189A (en) * | 2017-07-18 | 2017-11-24 | 中铁隧道勘测设计院有限公司 | One kind provides green energy resource subway gateway |
| CN109195281A (en) * | 2018-09-06 | 2019-01-11 | 广州地铁设计研究院股份有限公司 | The optical lighting system and control method in a kind of urban track traffic ground vehicle section and parking lot |
| CN112231812A (en) * | 2020-10-15 | 2021-01-15 | 乌江渡发电厂 | Intelligent ventilation control method and system for underground powerhouse of hydropower station |
-
2011
- 2011-09-16 CN CN2011203469554U patent/CN202257228U/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140337263A1 (en) * | 2013-05-07 | 2014-11-13 | Iotelligent Technology Ltd Inc | Architecture for implementing an improved neural network |
| US10235621B2 (en) * | 2013-05-07 | 2019-03-19 | Iotelligent Technology Ltd Inc | Architecture for implementing an improved neural network |
| CN105320183A (en) * | 2014-07-17 | 2016-02-10 | 东莞勤上光电股份有限公司 | Lamp system capable of adjusting lighting atmosphere intelligently and method for implementing atmosphere adjustment |
| CN104155961A (en) * | 2014-08-27 | 2014-11-19 | 石成富 | Intelligent home monitoring system and method based on Internet of Things |
| CN106125704A (en) * | 2016-08-26 | 2016-11-16 | 合肥康胜达智能科技有限公司 | Smart Home air moistening system |
| CN107388189A (en) * | 2017-07-18 | 2017-11-24 | 中铁隧道勘测设计院有限公司 | One kind provides green energy resource subway gateway |
| CN109195281A (en) * | 2018-09-06 | 2019-01-11 | 广州地铁设计研究院股份有限公司 | The optical lighting system and control method in a kind of urban track traffic ground vehicle section and parking lot |
| CN112231812A (en) * | 2020-10-15 | 2021-01-15 | 乌江渡发电厂 | Intelligent ventilation control method and system for underground powerhouse of hydropower station |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term |
Granted publication date: 20120530 |
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| CX01 | Expiry of patent term |