CN103871141A - Indoor environment control system based on biological characteristic recognition - Google Patents
Indoor environment control system based on biological characteristic recognition Download PDFInfo
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Abstract
The invention relates to an indoor environment control system based on biological characteristic recognition. Biological characteristic recognition equipment used as an entrance guard device is installed at an entrance, and a user identity receiving unit receives an identity recognition signal sent by the biological characteristic recognition equipment and transmits a confirmation signal to a using habit storage unit. After retrieving the operation history data corresponding to the identity, the using habit storage unit sends the operation history data to an analytical prediction and execution unit, and the analytical prediction and execution unit outputs a control signal to indoor environment equipment to control the indoor environment equipment to work. The biological characteristic recognition equipment obtains user identity information, analyzes the history data of the indoor environment equipment operated by the current user recently to predict the equipment operation mode habitually adopted by the current user, and automatically sends a control instruction to the indoor environment equipment in real time to enable the indoor environment to fast achieve the state suitable for the current user. The system not only can provide flexible and humanized automatic control for the indoor environment equipment, but also can save energy and reduce consumption.
Description
Technical field
The present invention relates to a kind of control technology, particularly a kind of indoor environmental condition control system based on living things feature recognition.
Background technology
Along with development in science and technology, air-conditioning, electric heater, humidifier, water heater, scavenger fan, air purifier, the first-class various indoor environment equipment of Indoor Video shooting start to enter family and office, in improving comfort level, also brought more and more higher energy consumption, how between averages out, and becomes an important research direction.Existing indoor environment equipment control technology, by the manual setting of user or by Timer Controlling switch mostly, this control method is loaded down with trivial details, dumb, impersonality, cannot automatically adapt to the individual demand of different user, and indoor nobody time still may dally and expend the energy.
Summary of the invention
The present invention be directed to the problem that the control of indoor environment equipment exists, a kind of indoor environmental condition control system based on living things feature recognition has been proposed, this system is by living things feature recognition user identity, and according to active user's identity and historical use habit, indoor environment equipment is carried out to Automatic Optimal control, both met the requirement of user to indoor environment, the energy dissipation of avoiding again the manual loaded down with trivial details flow process of setting of user and equipment to dally in the time that user leaves.
Technical scheme of the present invention is: a kind of indoor environmental condition control system based on living things feature recognition, comprise living things feature recognition equipment, indoor environment equipment, equipment control center, indoor environment equipment comprises various household electrical appliance, equipment control center comprises user identity receiving element, use habit storage unit, analyses and prediction performance element, living things feature recognition equipment is arranged on porch as entrance guard device, user identity receiving element receives the identification signal that living things feature recognition equipment sends, and confirmation signal is sent to use habit storage unit, use habit storage unit is sent analyses and prediction performance element after retrieving the corresponding operation history data of this identity, analyses and prediction performance element outputs a control signal to indoor environment equipment, environmental unit work in pulpit.
One in the optional iris of described living things feature recognition equipment, fingerprint, face, palm shape, palmmprint, vein, speech recognition apparatus.
Described user identity receiving element can pass through USB, cable network, wireless network, bluetooth, serial line interface, a kind of data transfer mode in infrared receives active user's identity information from living things feature recognition equipment.
Described analyses and prediction performance element sends to indoor environment equipment by USB, cable network, wireless network, bluetooth, serial line interface, a kind of data transfer mode in infrared by control signal.
Described analyses and prediction performance element receives the corresponding operation history data of the above identity of indoor two people, after the customary environment parameter of all indoor user is added, averages again, and this mean value is as the optimum setting value of environmental unit.
Beneficial effect of the present invention is: the indoor environmental condition control system that the present invention is based on living things feature recognition, obtain subscriber identity information based on living things feature recognition equipment, again by the historical data of environmental unit in the nearly a period of time operation room of active user is analyzed, prediction active user is accustomed to the equipment operating mode adopting, and automatically real-time to indoor environment equipment sending controling instruction, make indoor environment reach fast suitable active user's state.This system not only can provide flexibly indoor environment equipment, the automatic control of hommization, and has improved energy utilization rate, has reduced energy consumption.
Accompanying drawing explanation
Fig. 1 is the indoor environmental condition control system architecture diagram that the present invention is based on living things feature recognition;
Fig. 2 is the indoor environmental condition control system embodiment schematic diagram that the present invention is based on living things feature recognition.
Embodiment
If Fig. 1 is the indoor environmental condition control system architecture diagram that the present invention is based on living things feature recognition.System comprises living things feature recognition equipment 1, indoor environment equipment 2, equipment control center 3, wherein, indoor environment equipment 2 comprises air conditioner 7, electric heater 8, light 9, humidifier 10, water heater 11 etc., and equipment control center 3 comprises user identity receiving element 4, use habit storage unit 5, analyses and prediction performance element 6.
Living things feature recognition equipment 1 comprises the identification equipments such as iris, fingerprint, face, palm shape, palmmprint, vein, voice, is arranged on porch as entrance guard device, by above biological characteristic, the user who enters indoor environment is carried out to identification.
User identity receiving element 4 receives active user's identity information by USB, cable network, wireless network, bluetooth, serial line interface, the data connection approach such as infrared from living things feature recognition equipment 1.User identity receiving element 4 has been stored validated user list, in order to active user's identity of receiving from living things feature recognition equipment of comparison whether validated user list, if active user's identity, not in list, is not controlled indoor environment equipment.
Environmental unit historical data in nearly a period of time user operation room that use habit storage unit 5 records, comprises custom temperature range, custom humidity range, custom air conditioner wind speed, custom scavenger fan wind speed, custom air purification wind speed, custom lamplight brightness, custom bathroom water temperature, custom camera head monitor pattern.
Analyses and prediction performance element 6 sends to indoor environment equipment by USB, cable network, wireless network, bluetooth, serial line interface, the data connection approach such as infrared by control signal.The control signal that analyses and prediction performance element 6 sends comprises that opening of device, device shutdown, temperature range are set, humidity range is set, air conditioner wind speed is set, scavenger fan wind speed is set, air purification wind speed is set, lamplight brightness is set, bathroom water temperature is set, camera head monitor pattern is set.Analyses and prediction performance element 6 is learnt environmental unit historical data in nearly a period of time user operation room, analyze each user's daily work and rest custom and the setting hobby of various indoor environment parameters, and according to active user's identity, adopt built-in prediction algorithm to formulate the operational mode of indoor environment equipment, indoor environment equipment is optimized to control automatically.
Living things feature recognition equipment 1 adopts wireless network and 4 communications of user identity receiving element, and user identity receiving element 4 receives user's recognition result that iris recognition access control system 1 feeds back.If living things feature recognition equipment 1 has more intense calculation function and control interface, living things feature recognition equipment 1 and equipment control center 3 can merge into an equipment, be that equipment control center 3 does not adopt independently equipment, its function can be completed by living things feature recognition equipment 1.Environmental unit 2 in analyses and prediction performance element 6 junction chambers, by infrared or wireless control signal is sent to multiple indoor environmental unit, comprises air conditioner 7, electric heater 8, light 9, humidifier 10, water heater 11.
When concrete enforcement, first, living things feature recognition equipment 1 enters status recognition, equipment control center 3 enters indoor environmental condition control state, indoor when there being people to enter, living things feature recognition equipment 1 is confirmed this user's identity by iris, user's receiving element 4 is received identity information by network, then use habit storage unit 5 retrieves the corresponding operation history data of this identity, analyses and prediction performance element 6 is analyzed operation history data, predict the Indoor Environmental Condition that this user most possibly felt comfortably cool in this moment, and estimate the Indoor Environmental Condition in order to build the most comfortable, various device need to adopt any operational mode, finally by infrared or wireless control signal is sent to indoor environment equipment 2, thereby reach the environmental pattern of automatically setting the most comfortable for user identity, environmental unit in optimization pulpit, and energy-saving and cost-reducing object.
In a preferred embodiment of the indoor environmental condition control system based on living things feature recognition, analyses and prediction performance element 6 can be added up user in a period of time and pass in and out by living things feature recognition equipment 1 time in room, and sum up user and pass in and out rule basic time in room according to default assessment algorithm, thereby before user enters room by living things feature recognition equipment 1, just can enter with very high accuracy predictive user the time in room, a period of time transmits control signal and allows indoor environment equipment 2 be introduced in advance operational mode in advance, in the time that user really enters room, indoor environment has reached this user state as snug as a bug in a rug that makes.
In a preferred embodiment of the indoor environmental condition control system based on living things feature recognition, when indoor more than a people and while being all validated user, analyses and prediction performance element 6 can calculate according to default Rules of Assessment the mean value of the Indoor Environmental Condition that all validated users most possibly feel comfortably cool, after being added by the customary environment parameter of all indoor user, average, this mean value is as the optimum setting value of environmental unit again.
Fig. 2 is a preferred embodiment schematic diagram of a kind of indoor environmental condition control system based on living things feature recognition of the present invention.As shown in Figure 2, the indoor environmental condition control system of this preferred embodiment is based on iris recognition, comprise iris recognition access control system 12, humidifier 13, equipment control center 14, wherein, equipment control center 14 comprises user identity receiving element 15, use habit storage unit 16, analyses and prediction performance element 17.
When concrete enforcement, humidifier 13 is arranged in room as indoor environment equipment, iris recognition access control system 12 is arranged on room door 20 sides, equipment control center 14 is arranged in room, wherein, user identity receiving element 15 is connected by cable network with iris recognition access control system 12, and analyses and prediction performance element 17 is connected by cable network with humidifier 13.The user in this room of any turnover, needs through iris recognition access control system 12, and by the identification to iris, iris recognition access control system 12 can definitely be grasped identity and the quantity of user in this room.First, user identity receiving element 15 obtains user ID data from iris recognition access control system 12, then, in use habit storage unit 16, inquire about this user according to user identity and operate the historical data of humidifier 13, by analyses and prediction performance element 17, historical data is analyzed again, predict the indoor humidity that this user most possibly felt comfortably cool in this moment, and estimate the humidity in order to build the most comfortable, humidifier 13 need to adopt any operational mode, finally by cable network, control signal is sent to humidifier 13.For example, iris recognition access control system 12 has identified two users and has entered room, be respectively Tom18 and Jack 19, use habit storage unit 16 inquires Tom 18 and Jack 19 and operates the historical data of humidifier 13, after analyses and prediction performance element 17 analysis of history data, find: the favorite indoor humidity of Tom 18 is 80%, the favorite indoor humidity of Jack 19 is 70%, the indoor humidity of analyses and prediction performance element 17 using both mean value 75% as current the most comfortable, and send control command by cable network, using 75% setting value as humidifier 13, all satisfied to indoor humidity to guarantee Tom 18 and Jack 19.
Claims (5)
1. the indoor environmental condition control system based on living things feature recognition, it is characterized in that, comprise living things feature recognition equipment, indoor environment equipment, equipment control center, indoor environment equipment comprises various household electrical appliance, equipment control center comprises user identity receiving element, use habit storage unit, analyses and prediction performance element, living things feature recognition equipment is arranged on porch as entrance guard device, user identity receiving element receives the identification signal that living things feature recognition equipment sends, and confirmation signal is sent to use habit storage unit, use habit storage unit is sent analyses and prediction performance element after retrieving the corresponding operation history data of this identity, analyses and prediction performance element outputs a control signal to indoor environment equipment, environmental unit work in pulpit.
2. the indoor environmental condition control system based on living things feature recognition according to claim 1, is characterized in that the one in the optional iris of described living things feature recognition equipment, fingerprint, face, palm shape, palmmprint, vein, speech recognition apparatus.
3. the indoor environmental condition control system based on living things feature recognition according to claim 1, it is characterized in that, described user identity receiving element can pass through USB, cable network, wireless network, bluetooth, serial line interface, a kind of data transfer mode in infrared receives active user's identity information from living things feature recognition equipment.
4. the indoor environmental condition control system based on living things feature recognition according to claim 1, it is characterized in that, described analyses and prediction performance element sends to indoor environment equipment by USB, cable network, wireless network, bluetooth, serial line interface, a kind of data transfer mode in infrared by control signal.
5. the indoor environmental condition control system based on living things feature recognition according to claim 1, it is characterized in that, described analyses and prediction performance element receives the corresponding operation history data of the above identity of indoor two people, after the customary environment parameter of all indoor user is added, average, this mean value is as the optimum setting value of environmental unit again.
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| CN111722532A (en) * | 2020-06-29 | 2020-09-29 | 重庆跃途科技有限公司 | Intelligent classroom control method and system based on edge computing technology |
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Application publication date: 20140618 |