Energy demand prediction apparatus and method
US-9633320-B2 · Apr 25, 2017 · US
US9968877B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9968877-B2 |
| Application number | US-201514825938-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 13, 2015 |
| Priority date | Aug 15, 2014 |
| Publication date | May 15, 2018 |
| Grant date | May 15, 2018 |
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An intelligent air-conditioning controlling system comprises an intelligent controlling device, an air-conditioning, a plurality of sensing devices, and a cloud server. The intelligent controlling device receives environment information and user information from the plurality of sensing devices, and calculates a target temperature. The cloud server retrieves a usage record of a user according to the user information, and executes a big data analysis for generating a historical record and recommended environment temperature according to historical data and the environment information. The intelligent controlling device receives the usage record, the historical record and recommended environment temperature and a control parameter from the cloud server, and generates a control command for the air-conditioning in accordance with the target temperature, the usage record, the historical record and recommended environment temperature and the control parameter.
Opening claim text (preview).
What is claimed is: 1. An intelligent air-conditioning controlling system arranged in a space, comprising: a plurality of sensing devices, respectively sensing environment information and user information of the space; an intelligent controlling device connected with the plurality of sensing devices wirelessly for receiving the environment information and the user information, and calculating a target comfort characteristic according to the environment information; an air-conditioning connected with the intelligent controlling device wirelessly for operating according to a control command received from the intelligent controlling device; and a cloud server receiving the environment information and the user information from the intelligent controlling device, obtaining a usage recorded temperature corresponding to the user information, and calculating a historical record and recommended environment comfort characteristic, wherein the historical record and recommended environment comfort characteristic is a best comfort characteristic applied for the space in current time and current environment found out by the cloud server after executing a big data analysis based on the environment information; wherein, the intelligent controlling device receives the usage recorded temperature, the historical record and recommended environment comfort characteristic, and a control parameter from the cloud server, and generates the control command according to the target comfort characteristic, the usage recorded temperature, the historical record and recommended environment comfort characteristic, and the control parameter, wherein the control parameter records weights of the target comfort characteristic, the usage recorded temperature, and the historical record and recommended environment comfort characteristic respectively occupied in the control command. 2. The intelligent air-conditioning controlling system in claim 1 , wherein a first weight preset for the target comfort characteristic occupied in the control command is 40%, a second weight preset for the usage recorded temperature occupied in the control command is 30%, a third weight preset for the historical record and recommended environment comfort characteristic occupied in the control command is 30%, and the intelligent air-conditioning controlling system further comprises a manual controlling interface, and the manual controlling interface receives a manual adjusting operation for respectively adjusting the first weight, the second weight and the third weight. 3. The intelligent air-conditioning controlling system in claim 1 , wherein the plurality of sensing devices at least comprises a plurality of beacons, the plurality of beacons are respectively arranged in different zones of the space, and connected with the intelligent controlling device wirelessly through bluetooth low energy (BLE) transmission protocol, each of the plurality of beacons comprises a temperature and humidity sensor for sensing the environment information around the arranged zone, wherein the environment information at least comprises indoor temperature information and indoor humidity information. 4. The intelligent air-conditioning controlling system in claim 1 , wherein the plurality of sensing devices at least comprises a user information sensing mobile device, the user information sensing mobile device senses the user information of a user located in the space, and connects with the intelligent controlling device wirelessly through BLE transmission protocol, wherein the user information at least comprises body temperature and heartbeat of the user. 5. The intelligent air-conditioning controlling system in claim 4 , wherein the user information further comprises an identification information, the cloud server identifies an identity of the user according to the identification information, and obtains the usage recorded temperature corresponding to the user in the space. 6. The intelligent air-conditioning controlling system in claim 5 , wherein the identification information is an employee identification number, an international mobile equipment identity (IMEI), a media access control (MAC) address of a network card or a bluetooth transmission unit, and the user information sensing mobile device is an employee identification card, a smart phone, a tablet, a laptop or a smart watch. 7. The intelligent air-conditioning controlling system in claim 4 , wherein the intelligent controlling device obtains an operating mode set by a manager for the space, and changes the operating mode into an operating temperature according to a pre-stored mode mapping table, and calculates the control command in accordance with the target comfort characteristic, the usage recorded temperature, the operating temperature, the historical record and recommended environment comfort characteristic and the control parameter, wherein the control parameter records the weights of the target comfort characteristic, the usage recorded temperature, the operating temperature and the historical record and recommended environment comfort characteristic respectively occupied in the control command, and the a sum of the weights is 100%. 8. The intelligent air-conditioning controlling system in claim 1 , wherein the intelligent controlling device comprises an indoor environment sensing unit, the indoor environment sensing unit is used to sense the environment information around the intelligent controlling device, and the environment information sensed by the indoor environment sensing unit comprises CO2 quantity information, PM2.5 quantity information and TVOC quantity information. 9. The intelligent air-conditioning controlling system in claim 8 , wherein the intelligent controlling device enables a starting flag of an abnormal controlling command when determining an environmental abnormal situation occurs in the space according to the environment information, and regards the abnormal controlling command as the control command directly when the starting flag of the abnormal controlling command is enabled. 10. An intelligent controlling method applied by an intelligent air-conditioning controlling system, the intelligent air-conditioning controlling system arranged in a space and comprising an intelligent controlling device, an air-conditioning, a plurality of sensing devices for respectively sensing environment information and user information, and a cloud server, and the intelligent controlling method comprising: a) obtaining the environment information and the user information respectively from the plurality of sensing devices by the intelligent controlling device; b) calculating a target comfort characteristic according to the environment information; c) uploading the environment information and the user information to the cloud server; d) obtaining a usage recorded temperature corresponding to the user information by the cloud server; e) calculating a historical record and recommended environment comfort characteristic, wherein the historical record and recommended environment comfort characteristic is a best comfort characteristic applied for the space in current time and current environment found out by the cloud server after executing a big data analysis based on the environment information; f) transmitting the usage recorded temperature, the historical record and recommended environment comfort characteristic, and a control parameter to the intelligent controlling device, wherein the control parameter records weights of the target comfort characteristic, the usage recorded temperature, and the historical record and recommended environment comfort characteristic respectively occupied in the control command; g) calculating a control comman
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