CONTROLLING SYSTEM FOR ENVIRONMENTAL COMFORT DEGREE AND CONTROLLING METHOD OF THE CONTROLLING SYSTEM

• US 20160161137A1
• Filed: 11/09/2015
• Published: 06/09/2016
• Est. Priority Date: 12/04/2014
• Status: Active Grant

• Current Assignee: Delta Electronics Incorporated
• Original Assignee: Delta Electronics Incorporated
• Inventors: Chen, Meng-Seng, LO, Tien-Szu
• Granted Patent: US 10,126,010 B2
• Time in Patent Office: Days
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/523 for displaying temperature data
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: F24F 11/65 for selecting an operating mode
• CPC Class Codes: F24F 2110/70 Carbon dioxide
• CPC Class Codes: F24F 2120/00 Control inputs relating to users or occupants
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: F24F 2120/20 Feedback from users
• CPC Class Codes: G05B 13/0265 the criterion being a learning criterion
• CPC Class Codes: Y02B 30/70 Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

A controlling method executes an auto-calculation procedure of a controlling system when a person is detected indoor. The auto-calculation procedure firstly collects current environment parameters via sensors for calculating a current comfort-index based on the sensed environment parameters. Secondly, it calculates a target temperature/humidity adjustment value for the environment to reach a best comfort-index based on the current comfort-index. Then, it controls indoor apparatuses based on the calculated target temperature/humidity adjustment value to adjust the environment to be in the best comfort-index. The controlling system can execute a learning procedure, it records the current environment parameters and a user-feedback to build a learning model. Therefore, it helps the environment to satisfy user demands quickly by using the learning model directly when the indoor environment has the environment parameters same as the learning model.

Claims

1. A controlling system for environmental comfort degree, comprising:

a plurality of sensors for sensing a plurality of environment parameters indoor or outdoor;

a plurality of indoor apparatuses for adjusting temperature and humidity of an indoor space;

a controlling apparatus, operatively connected with the sensors and the indoor apparatuses, executing an auto-calculation procedure for calculating a current comfort-index of the indoor space based on the environment parameters, and calculating a target comfort temperature adjustment value and a target comfort humidity adjustment value for an indoor environment of the indoor space to reach a best comfort-index based on the current comfort-index;

wherein the controlling apparatus controls the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value for the indoor environment to reach a target temperature and a target humidity.

2. The controlling system in claim 1, wherein the current comfort-index and the best comfort-index are indexes of a comfort zone defined by ASHARE Standard 55 of ASHARE.

3. The controlling system in claim 1, wherein the plurality of sensors comprises a thermos sensor, an IR sensor or a monitor, for detecting if a person enters the indoor space, and the controlling apparatus calculates the target comfort temperature adjustment value and the target comfort humidity adjustment value when the person enters the indoor space.

4. The controlling system in claim 1, wherein the controlling apparatus executes a learning procedure for establishing or updating a learning model when receiving a user-feedback, wherein the learning model comprises the user-feedback, and the environment parameters sensed at the time the user-feedback is inputted.

5. The controlling system in claim 4, wherein the learning procedure re-calculates the target comfort temperature adjustment value and the target comfort humidity adjustment value for the indoor environment of the indoor space to reach the user-feedback based on the environment parameters, and the controlling apparatus controls the indoor apparatuses based on the re-calculated target comfort temperature adjustment value and the re-calculated target comfort humidity adjustment value.

6. The controlling system in claim 4, further comprises a human machine interface (HMI), connected to the controlling apparatus, and the HMI comprises a selection page for selecting one of a plurality of operating modes.

7. The controlling system in claim 6, wherein the operating modes comprise an auto-calculation mode and a learning mode, and the controlling apparatus applies the auto-calculation procedure to operate when the auto-calculation mode is selected and applies the learning procedure to operate when the learning mode is selected.

8. The controlling system in claim 7, wherein the learning procedure determines if the learning model is corresponding to the current environment parameters, applies the environment parameters to the learning model to find out the target comfort temperature adjustment value and the target comfort humidity adjustment value directly if the learning model is corresponding to the current environment parameters, and calculates the target comfort temperature adjustment value and the target comfort humidity adjustment value through the auto-calculation procedure if the learning model is not corresponding to the current environment parameters.

9. A controlling method for environmental comfort degree, used by a controlling system, the controlling system comprising a plurality of indoor apparatuses, a plurality of sensors and a controlling apparatus operatively connected with the indoor apparatuses and the sensors, the controlling method comprising:

a) sensing if a person enters an indoor space;

b) obtaining a plurality of environment parameters indoor or outdoor by the sensors when the person enters the indoor space;

c) calculating a current comfort-index of the indoor space based on the environment parameters at the controlling apparatus;

d) calculating a target comfort temperature adjustment value for reaching a best comfort-index based on the current comfort-index;

e) calculating a target comfort humidity adjustment value based on the target comfort temperature adjustment value; and

f) controlling the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value at the controlling apparatus for an indoor environment of the indoor space to reach a target temperature and a target humidity.

10. The controlling method in claim 9, further comprises a step g:

activating a carbon dioxide monitoring procedure at the controlling apparatus when the person enters the indoor space, wherein the carbon dioxide monitoring procedure controls one of the indoor apparatuses for adjusting an amount of carbon dioxide of the indoor space.

11. The controlling method in claim 9, further comprises following steps of:

h) determining if the controlling system is shut down;

i) determining if the person in the indoor space is left; and

j) re-executing the step b to the step f if the controlling system is not shut down and the person stays in the indoor space.

12. The controlling method in claim 9, further comprises following steps of:

k) determining if reaching the target temperature and the target humidity before a threshold time elapses; and

l) making an alert if the target temperature and the target humidity is not reach yet when the threshold time elapses.

13. The controlling method in claim 12, further comprises a step k0 before the step k:

receiving the threshold time inputted by a user.

14. The controlling method in claim 12, further comprises following steps of:

m) receiving a user-feedback;

n) establishing or updating a learning model based on the user-feedback, wherein the learning model comprises the user-feedback, and the environment parameters sensed at the time the user-feedback is received;

o) re-calculating the target comfort temperature adjustment value and the target comfort humidity adjustment value based on the environment parameters for reaching the user-feedback; and

p) controlling the indoor apparatuses based on the re-calculated target comfort temperature adjustment value and the re-calculated target comfort humidity adjustment value.

15. The controlling method in claim 14, wherein the user-feedback is indirect information or direct information, and the step m comprises following steps of:

m0) determining if receiving the indirect information;

m1) transforming the indirect information into the direct information in accordance with the environment parameters if receiving the indirect information;

m2) determining if receiving the direct information; and

m3) generating the target temperature and the target humidity based on the direct information.

16. The controlling method in claim 14, wherein the controlling system comprises a learning mode, and further comprises following steps after the step b:

q) determining if the learning model is corresponding to the environment parameters;

r) applying the environment parameters to the learning model to find out the target comfort temperature adjustment value and the target comfort humidity adjustment value directly if the learning model is corresponding to the environment parameters;

s) controlling the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value after the step r; and

t) executing the step c to the step f if the learning model is not corresponding to the environment parameters.

17. A controlling method for environmental comfort degree, used by a controlling system and comprising:

a) sensing if a person enters an indoor space;

b) obtaining a plurality of environment parameters indoor or outdoor through a plurality of sensors of the controlling system when the person enters the indoor space;

c) determining if the controlling system has a learning model corresponding to the environment parameters;

d) controlling a plurality of indoor apparatuses of the controlling system initially through an auto-calculation mode if the controlling system does not have the learning model corresponding to the environment parameters;

e) applying the environment parameters to the learning model to find out a target comfort temperature adjustment value directly if the controlling system has the learning model corresponding to the environment parameters;

f) calculating a target comfort humidity adjustment value based on the target comfort temperature adjustment value after the step e; and

g) controlling the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value for an indoor environment of the indoor space to reach a target temperature and a target humidity after the step f.

18. The controlling method in claim 17, wherein the step d comprises following steps of:

d1) calculating a current comfort-index based on the environment parameters;

d2) calculating the target comfort temperature adjustment value based on the current comfort-index for reaching a best comfort-index;

d3) calculating the target comfort humidity adjustment value based on the target comfort temperature adjustment value; and

d4) controlling the indoor apparatuses based on the target comfort temperature adjustment value and the target comfort humidity adjustment value at the controlling apparatus for the indoor environment of the indoor space to reach the target temperature and the target humidity.

19. The controlling method in claim 18, further comprises following steps of:

h) determining if the target temperature and the target humidity is reached before a threshold time elapses; and

i) making an alert if the target temperature and the target humidity is not reached when the threshold time elapses.

20. The controlling method in claim 18, further comprises following steps of:

j) determining if receiving a user-feedback, wherein the user-feedback is indirect information or direct information;

k) establishing or updating the learning model when receiving the user-feedback, wherein the learning model comprises the user-feedback, and the environment parameters sensed at the time the user-feedback is received;

l) re-calculating the target comfort temperature adjustment value and the target comfort humidity adjustment value based on the environment parameters for reaching the user-feedback; and

M) controlling the indoor apparatuses based on the re-calculated target comfort temperature adjustment value and the re-calculated target comfort humidity adjustment value.