CN204085569U - A kind of hot comfort instrument for measuring index based on Internet of Things and neural network - Google Patents
A kind of hot comfort instrument for measuring index based on Internet of Things and neural network Download PDFInfo
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- CN204085569U CN204085569U CN201420537142.7U CN201420537142U CN204085569U CN 204085569 U CN204085569 U CN 204085569U CN 201420537142 U CN201420537142 U CN 201420537142U CN 204085569 U CN204085569 U CN 204085569U
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Abstract
The utility model discloses a kind of hot comfort instrument for measuring index based on Internet of Things and neural network.This device is made up of sensor node and hot comfort Inspect and control center, described sensor node comprises temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module, single-chip microcomputer and power supply, and described hot comfort Inspect and control center comprises WBGT sensor, microprocessor, Zigbee network telegon, display screen, button, thermal comfort angle value neural computing module and control module.The beneficial effects of the utility model are that structure is simple, cost is low, it is convenient to install, and effectively can be gathered the sensing data in installation region by Internet of Things, and adopt nerual network technique to carry out the measurement of thermal comfort angle value, real-time is good, and accuracy is high simultaneously.
Description
Technical field
The utility model relates to a kind of hot comfort instrument for measuring index, particularly a kind of hot comfort instrument for measuring index based on Internet of Things and neural network.
Background technology
Along with expanding economy and growth in the living standard, people require also more and more higher to the hot comfort of indoor environment.Thermal comfort refers to that most people all reaches satisfied state to objective thermal environment from physiology to psychological aspects.Because the factor and condition that affect human thermal comfort are very complicated, researchist has carried out large quantity research to the evaluation method of indoor thermal comfort, and the index of some evaluation hot comforts is proposed, wherein PMV(Predicted Mean Vote) index is most widely used Comfort Evaluation index.But PMV formulae discovery relates to multiple physical parameter, gatherer process is complicated, use PMV formulae discovery thermal comfort angle value to relate to complicated iterative step simultaneously, real-time is poor, cannot meet preferably to the demand that pmv value is measured in real time in central air conditioner system, the hot comfort instrument for measuring index therefore developed based on internet of things data acquisition and neural network technology is the important development direction that hot comfort measures intelligent instrument research.
Summary of the invention
The purpose of this utility model is to provide a kind of hot comfort instrument for measuring index based on internet of things sensors data acquisition and neural computing technology, this device utilizes Internet of Things efficient pick-up transducers data rapidly, utilize neural network to set up Nonlinear Mapping between the input and output of PMV index fast, meet in central air conditioner system the demand that PMV index is measured in real time.
For achieving the above object, the technical scheme that the utility model adopts is:
Based on the hot comfort instrument for measuring index of Internet of Things and neural network, it is characterized in that: this device is made up of sensor node and hot comfort Inspect and control center, described sensor node comprises temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module, single-chip microcomputer and power supply, and described hot comfort Inspect and control center comprises WBGT sensor, microprocessor, Zigbee network telegon, display screen, button, thermal comfort angle value neural computing module and control module, in sensor node single-chip microcomputer respectively with temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module is connected with power supply, in hot comfort Inspect and control microprocessor in the heart respectively with WBGT sensor, Zigbee network telegon, thermal comfort angle value neural computing module, display screen, button is connected with control module, sensing data is sent to thermal comfort angle value neural computing module by microprocessor, and pass through the hot comfort data of thermal comfort angle value neural computing module return measurement, Zigbee communication module in hot comfort Inspect and control in Zigbee network telegon in the heart and each sensor node carries out the two-way wireless communication of one-to-many.
The beneficial effects of the utility model are: should simple based on the hot comfort instrument for measuring index structure of Internet of Things and neural network, cost is low, it is convenient to install, effectively can gather the sensing data in installation region, adopt nerual network technique to carry out the calculating of thermal comfort angle value simultaneously, real-time is good, and accuracy is high.
Accompanying drawing explanation
Fig. 1 is the utility model based on the structured flowchart of the hot comfort instrument for measuring index of Internet of Things and neural network.
Embodiment
As shown in Figure 1, hot comfort instrument for measuring index based on Internet of Things and neural network is made up of sensor node and hot comfort Inspect and control center, described sensor node comprises temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module, single-chip microcomputer and power supply, and described hot comfort Inspect and control center comprises WBGT sensor, microprocessor, Zigbee network telegon, display screen, button, thermal comfort angle value neural computing module and control module, in sensor node single-chip microcomputer respectively with temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module is connected with power supply, in hot comfort Inspect and control microprocessor in the heart respectively with WBGT sensor, Zigbee network telegon, thermal comfort angle value neural computing module, display screen, button is connected with control module, sensing data is sent to thermal comfort angle value neural computing module by microprocessor, and pass through the hot comfort data of thermal comfort angle value neural computing module return measurement, Zigbee communication module in hot comfort Inspect and control in Zigbee network telegon in the heart and each sensor node carries out the two-way wireless communication of one-to-many.
The temperature that each sensor node will pass through needed for temperature sensor, humidity sensor, micro-air velocity transducer collection calculating hot comfort pmv value, relative humidity and wind speed three kinds of data, and the processor single-chip microcomputer sent data in sensor node, the real time data collected (temperature, relative humidity and wind speed) is sent to hot comfort Inspect and control center by Zigbee communication module by single-chip microcomputer.Hot comfort Inspect and control center receives the real time data (temperature of each sensor node by Zigbee network telegon, relative humidity and wind speed) and be sent to the microprocessor at hot comfort Inspect and control center, microprocessor calculates the mean radiant temperature needed for pmv value by the collection of WBGT sensor simultaneously, and by the thermal comfort angle value neural computing module of temperature, relative humidity, wind speed and mean radiant temperature four kinds of data inputs based on fpga chip, then call built-in neural network procedure and carry out pmv value calculating, and export result of calculation.Microprocessor receives the pmv value that thermal comfort angle value neural computing module exports, and controls further by control module output pwm control signal and frequency converter frequency signal pair centre air-conditioning system.Hot comfort Inspect and control center is also equipped with display screen and button simultaneously, can control the course of work of device and show.
Claims (1)
1. based on the hot comfort instrument for measuring index of Internet of Things and neural network, it is characterized in that: this device is made up of sensor node and hot comfort Inspect and control center, described sensor node comprises temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module, single-chip microcomputer and power supply, and described hot comfort Inspect and control center comprises WBGT sensor, microprocessor, Zigbee network telegon, display screen, button, thermal comfort angle value neural computing module and control module, in sensor node single-chip microcomputer respectively with temperature sensor, humidity sensor, micro-air velocity transducer, Zigbee communication module is connected with power supply, in hot comfort Inspect and control microprocessor in the heart respectively with WBGT sensor, Zigbee network telegon, thermal comfort angle value neural computing module, display screen, button is connected with control module, sensing data is sent to thermal comfort angle value neural computing module by microprocessor, and pass through the hot comfort data of thermal comfort angle value neural computing module return measurement, Zigbee communication module in hot comfort Inspect and control in Zigbee network telegon in the heart and each sensor node carries out the two-way wireless communication of one-to-many.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420537142.7U CN204085569U (en) | 2014-09-18 | 2014-09-18 | A kind of hot comfort instrument for measuring index based on Internet of Things and neural network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201420537142.7U CN204085569U (en) | 2014-09-18 | 2014-09-18 | A kind of hot comfort instrument for measuring index based on Internet of Things and neural network |
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| CN204085569U true CN204085569U (en) | 2015-01-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201420537142.7U Expired - Fee Related CN204085569U (en) | 2014-09-18 | 2014-09-18 | A kind of hot comfort instrument for measuring index based on Internet of Things and neural network |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105371897A (en) * | 2015-12-04 | 2016-03-02 | 深圳市建筑科学研究院股份有限公司 | Outdoor thermal comfort monitoring system and monitoring method thereof |
| CN109164707A (en) * | 2018-09-28 | 2019-01-08 | 苏州市建筑科学研究院集团股份有限公司 | A kind of indoor environment negative-feedback regu- lation system based on artificial neural network algorithm |
| CN109974787A (en) * | 2019-04-23 | 2019-07-05 | 西安建筑科技大学 | A kind of architecture indoor intelligence thermal comfort monitoring device and its monitoring method |
| IT201800020629A1 (en) | 2018-12-21 | 2020-06-21 | Thinxs S R L | DEVICE FOR MEASURING THE PERCEIVED TEMPERATURE |
-
2014
- 2014-09-18 CN CN201420537142.7U patent/CN204085569U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105371897A (en) * | 2015-12-04 | 2016-03-02 | 深圳市建筑科学研究院股份有限公司 | Outdoor thermal comfort monitoring system and monitoring method thereof |
| CN109164707A (en) * | 2018-09-28 | 2019-01-08 | 苏州市建筑科学研究院集团股份有限公司 | A kind of indoor environment negative-feedback regu- lation system based on artificial neural network algorithm |
| IT201800020629A1 (en) | 2018-12-21 | 2020-06-21 | Thinxs S R L | DEVICE FOR MEASURING THE PERCEIVED TEMPERATURE |
| CN109974787A (en) * | 2019-04-23 | 2019-07-05 | 西安建筑科技大学 | A kind of architecture indoor intelligence thermal comfort monitoring device and its monitoring method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150107 Termination date: 20150918 |
|
| EXPY | Termination of patent right or utility model |