JP2000028175A - Air-conditioner temperature control device for facility - Google Patents

Abstract

PROBLEM TO BE SOLVED: To regulate temperature to a comfortable value in a wide range of a space by a method wherein control contents are decided based on an output from a control distribution computing means, a present temperature from a present temperature detecting means, and a set temperature. SOLUTION: A present temperature inputted from a present temperature detecting means 1 is inputted to an air-conditioner control means 6. Temperature variation demand inputs from a plurality of temperature variation demand means 2 are stored at a demand terminal information table 3b through control of a terminal according to a demand terminal information table 3a. A statistical means 4 processes statistics according to the contents of a demand, the number of times, and the discrimination item of a demand terminal. According to the position of the demand terminal 2 generating a demand, computation to distribute control to realize a demand to each of a plurality of air-conditioners is executed by a control distribution computing means 5. An air-conditioner control means 6 generates a control signal to respective air conditioners 7, based on a result of distribution computation from the control distribution computing means 5, a present temperature from the present temperature detecting means 1, and a set temperature, and controls the air-conditioners 7.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a facility air conditioner temperature control device. Air conditioners that control the temperature of a wide range of spaces, such as buildings, underground facilities, public facilities, and factories, are installed.
It is operated so that the operation of the equipment is controlled according to the temperature.

However, when controlling the temperature of a wide range of space, a temperature difference occurs partially depending on the sunshine, directions (north, south, east and west), heat sources such as humans and heat radiating devices, wind direction (air flow), and the like. It is always required to adjust the partial temperature difference and perform comfortable temperature adjustment. Therefore, it is desired to collect and analyze the requirements for temperature adjustment from a wide range of space and perform comfortable temperature adjustment control.

[0003]

2. Description of the Related Art FIG. 19 shows a configuration of a conventional example. This conventional example is disclosed in Japanese Patent Application Laid-Open No.
177, and FIG. 19 shows the principle configuration thereof. In the figure, reference numeral 80 denotes a current temperature detecting means, 81 denotes a temperature change requesting means provided as a request terminal, 82 denotes an air conditioner control means, 83 denotes an air conditioner, and a plurality of air conditioners 83 are provided in a wide space.

[0004] The operation of the conventional configuration will be described. When the temperature in the space is detected by the current temperature detecting means 80, it is input to the air conditioner control means 82. Air conditioner control means 82
Controls the air conditioner 83 so that the temperature detected by the current temperature detecting means 80 becomes an appropriate temperature set in advance. Also, when a user requests a current state of the space (slightly hot, slightly cold, sultry, dry, etc.) from the temperature change request means 81 provided in the space, the air conditioner control means 82 It interprets the request and outputs a signal for controlling the air conditioner 83 so as to be in an appropriate state corresponding to the request.

[0005]

According to the conventional space temperature adjustment control described above, when a request for temperature adjustment is received from one requesting terminal, one air conditioner control means 82 responds to the request. When the method of adjusting the temperature of the space in the range is used, even if the temperature of the place where the requesting terminal exists is appropriately adjusted, there is no guarantee that the temperature will be comfortable in other places. In addition, there is a method in which a plurality of air conditioner control means are controlled with the same setting in response to a request from one temperature control request terminal. In some cases, unpleasant sensations occurred in parts that were comfortable before the request.

As described above, when the temperature of a wide area is adjusted, there is a problem that a partial temperature difference is always generated and a comfortable temperature adjustment over a wide area cannot be performed. Furthermore, when changing the set temperature in response to a request from a resident (user), the resident needs to request a temperature (numerical temperature) that is considered comfortable based on the current set temperature. In addition, since the request handling from the requesting terminal was handled equally from any terminal, for example, the density of the number of requested terminals to the number of people,
In some cases, the distance from the air conditioner is not taken into consideration, and the opinions of biased people are likely to be reflected, or unintended control may be performed.

When the set temperature is changed to a comfortable temperature, the set temperature and the temperature of the living space may differ depending on the operation time of the air conditioner (for example, while trying to approach the target temperature after turning on the power). Not necessarily. At that time, if the occupant changes the set temperature, there is a problem in that the occupant's setting changes to a comfortable temperature even though the original set temperature was optimal.

Furthermore, in a wide space where an unspecified number of occupants (users) exist, a remarkable difference may occur between the set temperature of the air conditioner and the comfortable temperature of the occupants. In this case, it is unclear whether the operating state of the air conditioner or another occupant is making a set temperature change request, and the set temperature change requests from residents are concentrated. In such a case, if the set temperature change processing is performed for all requests, there is a problem that an excessive temperature change is caused, and a request for changing the set temperature from the occupant is caused again.

SUMMARY OF THE INVENTION It is an object of the present invention to solve the above-mentioned problems and to provide an air conditioner temperature control device for a facility capable of adjusting and maintaining comfortable temperature in a wide space.

[0010]

FIG. 1 shows a first principle configuration of the present invention. In the figure, 1 is a current temperature detecting means for detecting the current temperature, 2 is a plurality of units installed in a wide space of the facility,
This is a temperature change request unit that generates a request for temperature from a resident, and is actually configured as a request terminal, which may be referred to as a request terminal. 3 is a request collecting unit for collecting requests from request terminals, 3a is request terminal control means, 3b is a request terminal information table for storing request information generated from each request terminal, 4 is statistical means for statistically processing request information, 5
Is a control distribution calculating means for distributing the control satisfying the statistically processed requirement to a plurality of air conditioners, 6 is an air conditioner control means for controlling the plurality of air conditioners, and 7 is a plurality of air conditioners.

In the first principle configuration shown in FIG. 1, the current temperature input from the current temperature detecting means 1 is input to the air conditioner control means 6. Input of a temperature change request (designating a numerical value of temperature) from a plurality of temperature change request means (hereinafter, referred to as request terminals) 2 provided at each position of the facility is performed by the request terminal control means 3a of the request collection unit 3. , Terminal requests are individually received from the requesting terminals 2 and stored in the requesting terminal information table 3b. The statistical means 4 performs statistical processing on the contents of the request, the number of requests, and the identification item of the requesting terminal. Statistical means 4
Is sent to the control distribution calculating means 5 to control the calculation as to whether the control for realizing the request is distributed to each of the plurality of air conditioners in accordance with the position of the requesting terminal 2 which has generated the request. This is executed by the distribution calculating means 5. The air conditioner control means 6 is a control signal indicating a control amount to each air conditioner 7 based on the result of the distribution calculation from the control distribution calculation means 5, the current temperature from the current temperature detection means 1 and a preset temperature. Is generated, and the air conditioner 7 is controlled.

FIG. 2 shows a second principle configuration of the present invention. In FIG. 2, reference numerals 1 to 4, 6, and 7 are the same as those of the same reference numerals in FIG. Reference numeral 8 denotes a sensory demand coefficient conversion unit.

In the second principle configuration, a plurality of request terminals (temperature change request means) 2 installed in a wide space in a facility are "hot" or "cold" by a user (resident).
Such a sensuous request as described above can be input. The request terminal control means 3a of the request collection unit 3
Monitoring and control, and when sensory temperature adjustment requests are received from a plurality of requesting terminals, the requests are stored in the requesting terminal information table 3b. This request is converted into a numerical value by the sensory request coefficient converting means 8, and the numerical value generated by the replacement is passed to the statistical means 4. The statistical means 4 statistically processes the request contents (numerical values) of the plurality of temperature adjustment requests, the number of requests, the request interval, and the identification number of the requesting terminal, creates a control request for each air conditioner, and sends it to the air conditioner control means 6. hand over. The air conditioner control means 6 determines the control contents of the air conditioners based on the control request, the current temperature and the set temperature created by the statistical means 4, and controls each air conditioner.

FIG. 3 shows a third principle configuration of the present invention. In FIG. 3, reference numerals 1, 2, 4, 6, and 7 are the same as those in FIG. 3 is a request collection unit,
3a is a request terminal control means, and 3c is a request content monitoring means for monitoring the request including the time when the request is generated.

In the third principle configuration, when a user (resident) issues a temperature change request from a plurality of request terminals (temperature change request means) 2 installed in a wide space in a facility, It is rare for a plurality of requests to be issued. Therefore, a request reception time (period) is set in the request terminal control unit 3a of the request collection unit 3, the request received within the time is monitored by the request content monitoring unit 3c, and the request received within a predetermined time is received. The contents are statistically processed by the statistical means 4 and controlled. If a large number of temperature change requests are made in a short time, it is determined that the user is in a very uncomfortable state, and the request contents collected by the request content monitoring means 3c are statistically processed by the statistical means 4. That is, if a large number of temperature change requests occur in a short time, it is determined that the user is in a very uncomfortable state, and for example, the upper limit value (n
) Is set, and when n requests are generated within a predetermined time, the processing by the statistical means 4 is started before the request reception time is reached. As a result, it is possible to prevent an extreme change in temperature setting without accepting an excessively large number of requests, and to quickly respond to occupants' requests.

FIG. 4 shows a fourth principle configuration of the present invention. In the figure, reference numerals 1, 2, 4, 6, and 7 are the same as those of the same reference numerals in FIG. 1a is a set temperature detecting means, 3a is a request terminal control means, 6a in the air conditioner control means 6 is a prediction control means, 6b is an air conditioner setting means, and 6c is an external factor table provided in the air conditioner setting means 6b. .

In the configuration shown in FIG. 4, the external factors such as the sunshine and direction of the facility (north, south, east and west), the difference between the outside air temperature and the room temperature, heat sources such as humans and heat radiating devices, and the wind direction (air flow) are determined for each air conditioner. It is registered in the external factor table 6c in advance. The terminal requested by the request terminals 2 is controlled by the request terminal control means 3 a for the temperatures requested by the request terminals 2. Requests are individually received from the request terminals 2 and input to the statistical means 4. The statistical means 4 performs statistical processing on the contents of the request, the number of requests, and the identification item of the requesting terminal, and supplies the result to the air conditioner control means 6. The prediction control means 6a of the air conditioner control means 6 inputs the current temperature from the current temperature detection means 1, the set temperature from the set temperature detection means 1a, and the statistically processed temperature change request information from the statistics means 4. Then, predictive control is performed. At this time, the target temperature is determined by predicting the temperature in the space using coefficients such as the sunshine and direction of the facility registered in the external factor table 6c, the difference from the external temperature, and the heat source such as a person and a heat radiating device as coefficients. I do. In order to realize the temperature predicted by the prediction control means 6a, the control amount for each air conditioner is set by the air conditioner setting means 6b.
The external factor table 6c can be configured as a plurality of tables in which specific external factors are set for each air conditioner, thereby making it possible to set the temperature in a wide area to an appropriate temperature.

FIG. 5 shows a fifth principle configuration of the present invention. In FIG. 5, reference numerals 1, 1a, 2, 3a, 4, 6, and 7 are the same as those in FIG. Is omitted. Numeral 9 denotes a temperature change predicting means, 9a is a time measuring means for measuring time, and 9b is a temperature history table storing history information of temperature change corresponding to time.

In the fifth principle configuration, when the room temperature is gradually controlled to an appropriate temperature by the air conditioner, the temperature change predicting means 9 receives the current temperature from the current temperature detecting means 1 and the set temperature detecting means 1a. And a temperature change history corresponding to time is stored in the temperature history table 9b. When a request for a temperature change is generated from the request terminal 2 and input to the temperature change prediction means 9 from the request terminal control means 3a, it can be seen from the temperature history table 9b that control is being performed for the current temperature change. And the change request is treated as invalid. The statistical means 4 is a temperature change predicting means 9
Performs statistical processing on a valid temperature change request from, and inputs a processing result to the air conditioner control means 6. According to the fifth principle configuration, when the air conditioner is shifting to an appropriate temperature, it is determined that the control is being performed, and the change request is invalidated, whereby an excessive temperature change can be prevented.

Next, the sixth principle (not shown) of the present invention using the configuration of the second principle configuration (FIG. 2) will be described (the first principle configuration of FIG. 1 is not used). According to the sixth principle, weighting information is set in advance for each requesting terminal (or for each person) in the requesting terminal information table 3b (FIG. 2), and when the requesting terminal 2 issues a sensible temperature change request. , The identification information of the requesting terminal 2 is naturally generated, and the requesting terminal 2 is used to generate the weighting information from the requesting terminal information table 3b. A means (key input, magnetic card reader, etc.) for outputting identification information of the person making the request from request terminal 2 may be provided.

In the sixth principle configuration, when a request for a temperature change is made from the requesting terminal 2, the weight varies depending on whether the person operating the requesting terminal 2 is a VIP or not. Can be controlled according to the weight.

[0022]

FIG. 6 shows an example of the configuration of a system in which the present invention is implemented. In the figure, reference numeral 20 denotes a processing unit (CPU and memory) for monitoring and controlling the air conditioning of a facility including a man-machine interface (MMI), 21a a CRT display, 21b a keyboard (KB), 21c a mouse,
Reference numeral 22 denotes a LAN, and 23 denotes a distributed processing device (indicated by DPS), which is connected to the processing device 20 via the LAN 22 and is provided in a certain range of the facility and has a function of monitoring and controlling an air conditioner of the facility in the range. Is a remote station (RS) having a function of outputting a control signal and inputting from a sensor with the distributed processing device 23; 25, an air conditioner;
Is a sensor, and 27 is a request terminal.

In the above configuration, the remote stations (RS) 24 are provided for each section of the facility having a limited area (for example, for each room on the floor of a building), and the plurality of remote stations 24 are wider. The distributed processing device 23 is provided corresponding to the range (for example, corresponding to a plurality of rooms on the floor of a building),
4, a plurality of distributed processing devices 23 are connected to a LAN 22 and connected to a processing device 20 for monitoring and controlling a central facility.
Data transmission and reception are performed by the AN 22.

The processing unit 20 includes a man-machine interface (MMI) for performing input from an operator and outputting status display and the like, and also controls each air conditioner via a distributed processing unit 23 and a remote station 24. And a sensor 26 provided near each remote station 24 for detecting the current temperature and a request terminal 27 for making a temperature change request. Note that each distributed processing device 23
, The temperature control of a plurality of air conditioners controlled by the distributed processing device 23 is controlled in accordance with a request from the sensor 26 and the request terminal 27, and the temperature control of the entire facility is performed by the processing device 20.
, Or all control is performed by the processing device 20, but the basic processing flow executed in the processing device 20 or the distributed processing device 23 is the same. It is.

The processing flow of each embodiment for realizing control corresponding to the first to sixth principles of the present invention will be described below. FIGS. 7 and 8 show the processing flow (part 1) and (part 2) of the first embodiment, respectively.
Corresponding to the principle configuration.

First, the number of requests i is set to 0 (S in FIG. 7).
1) The processing of S2 to S5 corresponding to the request terminal control means (corresponding to 3a in FIG. 1) is executed. That is, a temperature setting request is accepted (S2 in FIG. 7), it is determined whether there is a request input (S3), if it is, it is determined whether the input numerical value is an appropriate value (S4), and if not, it is determined. The input is canceled (S5). In this example, if the input required temperature is X, the determination as to whether the value is an appropriate value in S4 is made as follows.
It is determined whether the temperature is in the range of 10 ° C ≦ X ° C ≦ 30 ° C.

Next, the processing of S6 to S9 corresponding to the statistical means (corresponding to 4 in FIG. 1) is executed. Here, the number of requests is counted, i = i + 1 is executed (S6 in FIG. 7), and the set temperature (required temperature) is stored in a table (S7).
That is, TABLE (i) = X ° C is executed. Next, it is determined whether the input of the request has been completed (S8 in FIG. 7). In this example,
It is determined whether or not i = 3. If the processing is not completed, the process returns to S2, but when the processing is completed, the average of the required temperatures is calculated (S9 in FIG. 7).
In this example, the average value is used as statistical processing by the statistical means 4 shown in FIG. 1, and the average value of the required temperature, Y = Avg
The operation of (TABLE, i) is performed.

Next, the processing of S10 and S11 corresponding to the control distribution calculating means (corresponding to the control distribution calculating means 5 of FIG. 1) is executed. That is, the number of controlled air conditioners (n =
n + 1) (S10 in FIG. 7), the dependence between the requesting terminal and the air conditioner (distance between the requesting terminal and the air conditioner, etc.) is checked, and the control distribution rate (what percentage of the target is assigned to each of the plurality of air conditioners) Is calculated (S11).

Subsequently, the processes of S12 to S14 shown in FIG. 8 corresponding to the air conditioner control means (corresponding to S6 of FIG. 1) are executed. That is, it is determined whether the difference from the current temperature (the difference between the temperature to which the average value Y is distributed and the current temperature = Abs (Y)) is less than a preset lower limit temperature (Tmin) (S1 in FIG. 8).
2). If the temperature is lower than the lower limit value, the process proceeds to S14 described below. If the temperature is not lower than the lower limit value, the set temperature of the air conditioner is changed (S13). Subsequently, it is determined whether control of all air conditioners (N) has been completed (N = n) (S1).
4) If not finished, return to S10 in FIG. 7 and repeat the same process for the next air conditioner.

A specific operation example according to the processing flow of the first embodiment shown in FIGS. 7 and 8 will be described. It is assumed that a room temperature is currently 25 ° C., and a personal computer or the like is connected as a request terminal for temperature change. Then, each request is sent to the requested terminal information table (3 in FIG. 1).
b) is stored together with the number of requests for each requesting terminal. The input numerical value is determined by the requesting terminal control means as to whether it is a valid value (S4 in FIG. 7), and when it is determined to be this valid value, the average value is calculated by the statistical means, and (18 + 20 +
22) / 3 = 20 ° C. is obtained (S9 in FIG. 7). Next, the control distribution calculation means obtains, as a control distribution ratio, a relationship between the one air conditioner to be controlled and the request terminal (a relation including the weight of the target air conditioner and the number of requests for each request terminal). For example, when there are two air conditioners separated by an equal distance from a certain requesting terminal, the control distribution rate of temperature change for each air conditioner is 50%. When the control distribution ratio and the required temperature average value obtained by the statistical means are sent to the air conditioner control means, the air conditioner control means calculates the calculated average value (20 ° C.) and the present temperature (for example, 20. 6 ° C
The target air conditioner is controlled so as to obtain a temperature change amount obtained by multiplying the difference between the air conditioner and the distribution ratio. When the difference between the calculated value and the current temperature is small, for example, when the current temperature is 20.4
The difference from the value calculated in ° C is 0.5 ° C (S1 in FIG. 7 described above).
If the temperature is lower than the lower limit temperature Tmin shown in FIG. 1, the temperature change request is invalidated.

Next, FIGS. 9 and 10 show the processing flows (No. 1) and (No. 2) of the second embodiment, which correspond to the second principle configuration of the present invention shown in FIG. First, the request count i is set to 0 (S1 in FIG. 9), and the request terminal control means (3a in FIG. 1)
(Corresponding to (2)) are executed. That is, a temperature setting request is accepted (S2 in FIG. 9), and it is determined whether or not there is a request input (S3). Next, the processing of S4 to S6 corresponding to the sensory demand coefficient conversion means (8 in FIG. 2) is executed. That is, it is determined whether the input information is intuitive (see FIG. 9).
In step S4), whether the input information is hot or cold is determined by a CASE statement (condition determination program). If the temperature is hot, the set temperature is decreased in S5 (−2 ° C.); if cold, the set temperature is increased in S6 ( + 2 ° C). Next, statistical means (Fig. 2
The processing of S7 to S10 corresponding to (4) is executed. Here, the number of requests is counted (i = i + 1) (S7 in FIG. 9), and the set temperature is stored in a table (S7).
8) It is determined whether the input of the request has been completed (S9). Here, it is determined whether i = 3, and if not completed, the process returns to S2, but when completed, the average value of the required temperature is calculated (S10 in FIG. 9). The calculation of the average value of the required temperature in this case is represented by Y =
Avg (TABLE, i).

Next, the processing of S11 to S14 shown in FIG. 10 corresponding to the air conditioner control means (corresponding to 6 in FIG. 2) is executed. That is, the count of the number of controlled air conditioners (n = n
+1) (S11 in FIG. 10), and the difference from the current temperature (the difference between the temperature to which the average value Y is distributed and the current temperature = Abs (Y)).
Is lower than the preset lower limit temperature (Tmin) (S12 in FIG. 10). If the temperature is lower than the lower limit value, the process proceeds to S14 described below. If the temperature is not lower than the lower limit value, the set temperature of the air conditioner is changed (S13). Subsequently, it is determined whether the control of all the air conditioners (N) has been completed (N = n) (S13), and if not completed, the process returns to S11 in FIG. The process is repeated, and when the control of all the air conditioners is completed, the process ends.

A specific operation example according to the processing flow of the second embodiment shown in FIGS. 9 and 10 will now be described.
At C, a plurality of personal computers are connected as temperature change request terminals, and it is assumed that there has been a sensory temperature change request with three "hot" requests and one "cold" request.
This request and the number of times are stored in the request terminal information table (3 in FIG. 2).
b). When a request occurs, it is determined which terminal is input by referring to the request terminal information table, and which air conditioner is controlled is identified. In the sensory requirement coefficient conversion, each requirement is replaced with a numerical value. For example, “hot” is −2 ° C., and “cold” is + 2 ° C. Therefore, the average value (−2-2−2 + 2) / 4 = −
1 is calculated, and the calculated value is passed to the air conditioner control means. The air conditioner control means controls the air conditioner at a current temperature of -1 ° C of 24 °.
The air conditioner is controlled so as to be set to C. If the difference between the calculated value and the current temperature is small, the process proceeds to S12 in FIG.
The temperature change request is invalidated by the judgment of.

FIGS. 11 and 12 show the processing flow (No. 1) and (No. 2) of the third embodiment, and correspond to the third principle configuration of the present invention shown in FIG. First, the reception time t = 0,
The number of receptions i = 0 is set (S1, S2 in FIG. 11). S3 to S3 corresponding to request terminal control means (corresponding to 3a in FIG. 3)
The process of S6 is performed. That is, the reception time is counted (t = t + 1) (S3 in FIG. 11), the temperature setting request is received (S4), and it is determined whether or not there is a request input (S5). It is determined whether the value is appropriate (S6). If the value is a valid value, the process proceeds to S7 of the next request content monitoring unit. If there is no request input in S5 and if the value is not a valid value in S6, the process proceeds to S10 of the request content monitoring unit.

In S7 to S10 corresponding to the request content monitoring means (corresponding to 3c in FIG. 3), a count of the number of requests, i =
i + 1 is performed (S7 in FIG. 11), and the required temperature is stored in a table (TABLE (i) = X ° C.) (S8). Next, it is determined whether the number of requests has reached the upper limit value n (S9 in FIG. 11), and if not, it is determined whether the reception time t has elapsed 10 minutes (S10). If not reached, the process returns to S3, but if it has been reached and if the upper limit has been reached in S9, a process corresponding to the next statistical means (corresponding to 4 in FIG. 3) is executed (S11 in FIG. 11). In this case, the average value of the required temperature is calculated, and Y =
It is determined by Avg (TABLE, i). Subsequent to the processing by the statistical means, the processing of S12 to S15 corresponding to the air conditioner control means (corresponding to 6 in FIG. 3) is executed. The processing contents are exactly the same as S11 to S14 in FIG. 10 described above, and the description is omitted.

A specific operation example according to the processing flow of the third embodiment shown in FIGS. 11 and 12 will be described. A plurality of personal computers are connected as temperature change request terminals, and a request reception time (period) is provided for a temperature change request from a user. For example, assuming that the request reception time is 10 minutes, the reception time is counted and within 18 minutes at 18 ° C, respectively.
It is assumed that a request to change the temperature to 20 ° C. or 22 ° C. has been issued (this temperature change request can be input by either numerical input or sensory input). When it is determined that the input numerical value is an appropriate value in the processing corresponding to the request terminal control means (corresponding to 3a in FIG. 3), the request content monitoring means (3c in FIG. 3)
The number of requests is counted in a process corresponding to
The set values of ° C, 20 ° C, and 22 ° C are stored in a table inside the request content monitoring means. If a timeout occurs after 10 minutes, the average is (18 + 20 + 22) / 3 =
Calculate 20 ° C and control the air conditioner (corresponding to 6 in FIG. 3)
Pass the calculated value to. The air conditioner control means controls the air conditioner so that the air conditioner is set to the calculated value. If the difference between the calculated value and the current temperature value is less than the lower limit temperature,
The temperature change request is invalidated (see S13 in FIG. 12).

FIGS. 13 and 14 show the processing flow (part 1) and (part 2) of the fourth embodiment, and correspond to the fourth principle configuration of the present invention shown in FIG. First, the number of requests i = 0 is set (S1 in FIG. 13), and the number of controlled air conditioners n = 0 is set (S2). Next, the request terminal control means (3a in FIG. 4)
(S3 to S6) corresponding to the above, ie, a temperature setting request is accepted (S3), it is determined whether there is a request input (S4), and if there is no request, the process returns to S3, but if there is, a request is input. It is determined whether the numerical value is an appropriate value (S5).
If the value is appropriate, the process proceeds to the next statistical processing (S7 and subsequent steps). If there is no request input in S5, the input is canceled (S6 in FIG. 13) and the process returns to S3. Statistical means (Fig. 4
In the process corresponding to (4), the number of requests is first counted i = i + 1 (S7 in FIG. 13), and the set temperature is stored in a table (TABLE (i) = X ° C.) (S8). Next, it is determined whether the request input is completed (i = 1 or not) (FIG. 13).
S9), if not completed, the process returns to S3, but when it is completed, the average of the required temperature is calculated, that is, Y = Avg (TABLE, i) is obtained (S10 in FIG. 13).

Following the processing by the statistical means, the prediction control means (6 in FIG. 4) of the air conditioner control means (corresponding to 6 in FIG. 4).
The processing of S11 to S14 in FIG. 14 corresponding to (a) is started. First, the current temperature T ° C is detected (S11 in FIG. 14), and the number of controlled air conditioners is counted (n = n + 1).
Then, the external factors (indoor conditions) for each air conditioner are obtained from the external factor table (6c in FIG. 4) (S1).
3). As shown in FIG. 14, the external factors include a daylight coefficient A, a direction coefficient B, a heat source coefficient C, a wind direction coefficient D, and the like. Next, using this external factor, a target correction temperature (referred to as Z) is calculated by the following equation.

Z = (VT) × A × B × C × D Subsequently, the air conditioner setting means (6b in FIG. 4) of the air conditioner control means
(Corresponding to the above) are executed. First, it is determined whether the difference from the current temperature (referred to as Abs) is lower than the lower limit temperature (Tmin) (S15 in FIG. 14). If the temperature is lower than the lower limit temperature, the process is ignored and the process proceeds to S17. If the temperature is lower than the lower limit temperature, the set temperature of the air conditioner is changed (S16 in FIG. 14), and the control of the number N of all air conditioners is performed. Is determined (S17). When the control of all the air conditioners is completed, the process is terminated. When the control of all the air conditioners is not completed, the process returns to S12 and the same process is executed for the next air conditioner.

A specific operation example according to the processing flow of the fourth embodiment shown in FIGS. 13 and 14 will be described. When a plurality of personal computers are connected as temperature change request terminals, it is assumed that a temperature change request of 25 ° C. has been issued from the user. If the numerical value corresponding to the input temperature (either numerical input representing the temperature or sensory input is possible) is determined to be appropriate by the requesting terminal control means,
The number of requests is counted and the temperature value is stored in an internal table. When the input is completed, the average value is calculated by the statistical means. In this example, 25 ° C./1=25° C. is obtained. This value is determined by the prediction control means (S11 to S1 in FIG. 14).
Passed to 4). The prediction control means calculates the calculated temperature 2
The calculation shown in S14 of FIG. 14 is performed to make the temperature 5 ° C.
For example, the daily coefficient A = 0.5, the direction B = 1.0 (east direction), the heat source C = 0.5 (when there is a heat source for the coefficient of 0.5), the wind direction coefficient D = 0.8 ( If it is northward, target correction temperature Z ₁ = (25-20) × 0.5 × 1.0 × 0.5 ×
0.8 = + 1.0 ° C.

[0041] Thus, the first air conditioner (the N ₁₎ of the set temperature is 20 + 1 at 21.0 ° C is set to the air conditioner N
The room temperature near ₁ is 25 ° C. Air conditioner setting means (Fig. 1
In S15 to S17), the air conditioner is controlled so that the air conditioner is set to the calculated value. When the difference between the calculated value and the current temperature is small, the temperature change request is invalidated.

FIGS. 15 and 16 show the processing flow (part 1) and (part 2) of the fifth embodiment, and correspond to the fifth principle configuration of the present invention shown in FIG. First, the request count i is set to 0 (S1 in FIG. 15), and the requesting terminal control means (3 in FIG. 5).
The processing of S2 and S3 corresponding to (a) is executed.
That is, a temperature setting request is received (S2 of 15), and it is determined whether or not a request input has been made (S3). Next, the processing of S4 to S10 corresponding to the temperature change prediction means (9 in FIG. 5) is executed. That is, the current temperature is detected (S in FIG. 15).
4) The set temperature of the set temperature detecting means (1a in FIG. 5) of the air conditioner is detected (S5 in FIG. 15), and the temperature after a certain time is predicted with reference to the temperature history table (S6). Next, it is determined whether the temperature is lowered toward the set value by the air conditioner (S7 in FIG. 15). If the temperature is lowered, it is determined whether the request input is "hot" (S8). If the request input does not correspond to "hot", the processing shifts to the processing of the statistical means in FIG.
In the case of “hot”, it is determined whether the difference between the temperature to be set and the current temperature is small (for example, 1 ° C. or less) (S9 in FIG. 15). If the difference is not small, the process proceeds to the statistical processing in FIG. 16. If the difference is small, the input is canceled (S10 in FIG. 15), and then the process proceeds to S13 described later.

Subsequently, the processing of S11 to S14 corresponding to the statistical means (corresponding to 4 in FIG. 5) is executed. Here, the number of requests is counted (i = i + 1) (S1 in FIG. 16).
1), save the set temperature in an internal table (TABLE (i) = X
° C) (S12), it is determined whether the input of the request has been completed (S13). The determination in S13 is completed when the reception request completion time or the maximum number of requests is reached. If not completed, the process returns to the processing of the requesting terminal control means (S2 in FIG. 15), and if completed, the average of the required temperature Y = Avg (TABLE, i) is calculated (S14 in FIG. 16). Next, processing (S15 to S18 in FIG. 16) corresponding to the air conditioner control means (corresponding to 6 in FIG. 5) is executed. That is, the number of controlled air conditioners is counted (n = n + 1) (S in FIG. 16).
15) It is determined whether the difference from the current temperature (referred to as Abs) is lower than the lower limit temperature (Tmin) (S16 in FIG. 16). If the temperature is lower than the lower limit temperature, the process is ignored and the process proceeds to S18. If the temperature is higher than the lower limit temperature, the set temperature of the air conditioner is changed (S17 in FIG. 16), and the control of the number N of all air conditioners is performed. Is determined (S18). When the control of all the air conditioners is completed, the process is terminated. When the control is not completed, the process returns to S15 and the same process is executed for the next air conditioner.

Next, a specific operation example according to the processing flow of the fifth embodiment shown in FIGS. 15 and 16 will be described. A plurality of personal computers are connected as temperature change request terminals, a user issues a "hot" temperature change request, the current temperature is 25 ° C, and the air conditioner or the temperature change request is being controlled. I do. Note that the temperature change request here can also be made by numerical input or sensory input. The temperature change prediction means (S4 to S10 in FIG. 15) outputs the current temperature (2
5 ° C.) and the air conditioner set temperature (20 ° C.) are detected, the current temperature and the air conditioner set temperature are stored in a temperature history table, and the temperature after a certain time is predicted. Here, when the predicted result is shifting to the set temperature by the air conditioner and the current temperature is decreasing (current temperature is 24 ° C.), “hot”
It is natural that there is a request to change the temperature, so the setting request is ignored. However, when the control of the air conditioner approaches the completion and the current temperature reaches 21 ° C., if the difference between the current temperature and the set temperature of the air conditioner is 1 ° C. or less, the setting of “hot” is enabled, and The set temperature of the machine is lowered again and the contents of the request are passed to the statistical means.

If there is a request to change the temperature of "cold" while the current temperature is being lowered by the air conditioner, the request for setting "cold" is validated regardless of the current temperature and the content of the request is changed. Pass to statistical means. The statistical means calculates the average of the air conditioner setting requests and passes the calculated value to the air conditioner control means. The air conditioner control means controls the air conditioner to set the air conditioner to the calculated value.

FIGS. 17 and 18 show the processing flow (No. 1) and (No. 2) of the sixth embodiment, corresponding to the sixth principle configuration (similar to the configuration of FIG. 2) of the present invention described above. I do. Requested terminal information table (corresponding to 3b in FIG. 2)
In advance, a weight coefficient corresponding to the requesting terminal or a person using the place where the requesting terminal is placed is registered.

First, the data number i = 0 is set (S1 in FIG. 17), and the processing by the request terminal control means (3a in FIG. 2) is executed. That is, a temperature setting request is received (see FIG. 1).
7, S2), it is determined whether there is a request input (S3), and if so, the terminal ID (identification number) making the request is obtained (S4), and the weight coefficient (w) corresponding to the requested terminal ID is obtained.
Is obtained from the request terminal information table 3b (S5).

Next, processing (S6 to S10 in FIG. 17) corresponding to the sensory requirement coefficient conversion means (corresponding to 8 in FIG. 2) is executed. That is, the number of loops j = 0 is set (FIG. 17).
S6), the number of loops is counted (j = j + 1) (S7), and what the sensory input information is is determined (S6).
8). If the sensory input information is “hot”, a numerical value of −2 ° C. indicating that the set temperature is lowered is generated (S in FIG. 17).
9) If the sensory input information is “cold”, a numerical value of + 2 ° C. indicating that the set temperature is to be increased is generated (S in FIG. 17).
10).

Subsequently, the processing (S11 to S15) by the statistical means (corresponding to 4 in FIG. 2) of FIG. 18 is executed. That is, the number of data is counted (i = i + 1) (S11 in FIG. 18), and the set temperature is stored in a table (TABLE (i) = X °).
C) (S12), and it is determined whether or not the loop has been performed the number of times corresponding to the weight coefficient w (w = j) (S13). If the loop has not been performed w times, the process returns to S7 of FIG. 17 described above. If the loop has been performed w times, it is determined whether the input of the request has been completed (FIG.
8, S14), and if not completed, the process returns to S2 in FIG. 17, but if completed, the average of the required temperatures (Y = Avg (TA
BLE, i)) is calculated (S15 in FIG. 18).

Next, the processing corresponding to the air conditioner control means (corresponding to 6 in FIG. 2) (S16 to S19 in FIG. 18) is executed. That is, the number of controlled air conditioners is counted (n = n +
1) (S16 in FIG. 18), it is determined whether the difference from the current temperature (referred to as Abs) is lower than the lower limit temperature (Tmin) (S17 in FIG. 18). If the temperature is lower than the lower limit temperature, it is ignored and S19
When the temperature exceeds the lower limit temperature, the set temperature of the air conditioner is changed (S18 in FIG. 18), and it is determined whether the control of all the number N of air conditioners has been completed (S19). This processing ends when the control of all the air conditioners is completed, and when it is not completed, S1
Returning to step 6, the same processing is executed for the next air conditioner.

Next, a specific operation example according to the processing flow of the sixth embodiment shown in FIGS. 17 and 18 will be described. When the current temperature is 25 ° C. and a plurality of personal computers as temperature change request terminals are connected, the request terminal issues a sensory temperature change request of “hot” once and “cold” once. Assume that it has occurred. If there is a request, the terminal refers to the requesting terminal information table (3b in FIG. 2), identifies the terminal from which the terminal is input, and acquires a weight coefficient for the terminal. Here, assuming that the weight coefficient of “hot” is “3” and the weight coefficient of “cold” is “1”, in the sensory demand coefficient conversion, each demand is replaced with a numerical value.
Is -2 ° C., “cold” is + 2 ° C., and “hot” is a weighting factor of 3, so the input is equivalent to three inputs. The statistical means (S11 to S15 in FIG. 18) calculates the average value of the air conditioner setting request (-2 × 3 + 2) / 4 = −1, and the calculated value to the air conditioner control means (S16 to S19 in FIG. 18). give.
The air conditioner control means controls the air conditioner at a current temperature of -1 ° C.
Control the air conditioner to set it to 4 ° C.

[0052]

According to the present invention, when adjusting the temperature of a wide range of space, it is possible to prevent a state where the temperature becomes only partially comfortable and to perform a comfortable temperature adjustment over a wide range.

Further, when the set temperature is changed in response to a request from the user, the user does not need to request a temperature (numerical temperature) that seems comfortable based on the current set temperature. Also, by setting the weight of the request handling from the requesting terminal to each terminal or each person, the density of the number of requested terminals to the number of people, the distance from the air conditioner, etc. are taken into account, and the opinions of biased people are reflected. It is possible to prevent the control from being performed easily or to perform unintended control.

When the set temperature is changed to a comfortable temperature, the set temperature and the temperature of the living space may differ depending on the operation time of the air conditioner (for example, while trying to approach the target temperature after turning on the power). They do not always match. At this time, it is possible to solve the problem that the comfortable temperature is deviated due to the setting change of the resident.

Further, when there is a remarkable difference between the set temperature of the air conditioner and the comfortable temperature of the occupant in a wide space having a large number of occupants, the operating condition of the air conditioner and other occupants may be requested to change the set temperature. Although it is not known whether or not the temperature change is performed, even if the set temperature change requests from the occupants are concentrated, excessive temperature change is not caused, and the set temperature change request can be eliminated again.

[Brief description of the drawings]

FIG. 1 is a diagram showing a first principle configuration of the present invention.

FIG. 2 is a diagram showing a second principle configuration of the present invention.

FIG. 3 is a diagram showing a third principle configuration of the present invention.

FIG. 4 is a diagram showing a fourth principle configuration of the present invention.

FIG. 5 is a diagram showing a fifth principle configuration of the present invention.

FIG. 6 is a diagram illustrating a configuration example of a system in which the present invention is implemented.

FIG. 7 is a diagram illustrating a processing flow (part 1) of the first embodiment;

FIG. 8 is a diagram depicting a processing flow (part 2) of the first embodiment;

FIG. 9 is a diagram depicting a processing flow (part 1) of the second embodiment;

FIG. 10 is a diagram depicting a processing flow (part 2) of the second embodiment;

FIG. 11 is a diagram depicting a processing flow (part 1) of the third embodiment;

FIG. 12 is a diagram depicting a processing flow (part 2) of the third embodiment;

FIG. 13 is a diagram illustrating a processing flow (part 1) of the fourth embodiment;

FIG. 14 is a diagram illustrating a processing flow (part 2) of the fourth embodiment;

FIG. 15 is a diagram illustrating a processing flow (part 1) of the fifth embodiment;

FIG. 16 is a diagram depicting a processing flow (part 2) of the fifth embodiment;

FIG. 17 is a diagram depicting a processing flow (No. 1) of the sixth embodiment;

FIG. 18 is a diagram depicting a processing flow (part 2) of the sixth embodiment;

FIG. 19 is a diagram showing a configuration of a conventional example.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Current temperature detection means 2 Temperature change request means (request terminal) 3 Request collection part 3a Request terminal control means 3b Request terminal information table 4 Statistics means 5 Control distribution calculation means 6 Air conditioner control means 7 Air conditioner

Continuing on the front page (72) Inventor Koichi Wakimoto 14-15 Higashishirashima-cho, Naka-ku, Hiroshima-shi, Hiroshima Prefecture Inside Fujitsu China Communication Systems Co., Ltd. (72) Inventor Hiroyuki Hirose 14-15 Higashi-Shirashima-cho, Naka-ku, Hiroshima-shi, Hiroshima No. Fujitsu China Communication Systems Co., Ltd. (72) Inventor Hirofumi Nishioka 14-15 Higashishirashima-cho, Naka-ku, Hiroshima-shi, Hiroshima F-term (reference) 3F060 AA06 CC02 CC08 CC09 CC11 CC18 CC19 DD01 DD03 5H323 AA12 BB15 CA02 CB42 CB43 EE04 EE06 EE09 FF01 HH02 HH03 KK05 LL12 MM06 NN04 NN06

Claims (6)

[Claims] 1. An air conditioner temperature of a facility comprising a current temperature detecting means for detecting a temperature of a space, a plurality of request terminals for inputting a request for temperature change, and an air conditioner control means for controlling a plurality of air conditioners. A request collection unit for receiving a temperature change request from the plurality of request terminals; a request terminal control means for monitoring and controlling the request terminals; and a request for storing request information such as request contents and the number of times from each request terminal. A terminal information table; a statistical unit for performing statistical processing on the request information; and a control distribution calculating unit for creating a control request for each air conditioner based on the statistically processed request information. The air conditioner temperature control is characterized in that the means determines the control content of each air conditioner based on the output from the control distribution calculation means and the current temperature and the set temperature from the current temperature detection means. Control device. 2. A sensor according to claim 1, wherein said request terminal control means includes a sensory request count change means, and said request terminal control means receives said sensory temperature change request from said request terminal and outputs said sensory request count change means. An air conditioner temperature control device, wherein the air conditioner temperature control device is converted into a corresponding coefficient by a request count changing means and output to the statistical means. 3. The request collection unit according to claim 1, further comprising means for setting a request reception time from the temperature change request means in the request collection unit, and monitoring request reception within the time, wherein the temperature received during the request reception time is provided. An air conditioner temperature control device characterized in that statistical processing including the number of change requests is performed by the statistical means. 4. An external factor table according to any one of claims 1 to 3, wherein external factors such as a day, a direction, a heat source such as a person, and a wind direction are registered in the air conditioner control means for each air conditioner. And a prediction control means for inputting the set temperature and the processing result from the statistical means, and predicting and controlling the temperature change in the space for each air conditioner using the factors registered in the external factor table as coefficients. An air conditioner temperature control device, wherein each air conditioner is controlled by the prediction control means. 5. A current temperature detecting means for detecting a temperature of a space, a set temperature detecting means, and a plurality of temperature change requesting means capable of inputting a request for air conditioning by a user;
In a facility air conditioner temperature control device provided with air conditioner control means for controlling a plurality of air conditioners, a request from a request terminal control means for receiving a temperature change request from the temperature change request means and a request from a current temperature detection means. Temperature change predicting means for predicting a change in space temperature when a current temperature and a detection value of the set temperature detecting means are input, and the requesting terminal control is performed at the time of starting the air conditioner or during a period in which the air conditioner changes to an appropriate temperature by control An air conditioner temperature control device, wherein when a temperature change request is issued from the means, the request is invalidated by the temperature change prediction means. 6. The request terminal control means according to claim 2, further comprising: a table in which a temperature change request means is registered in advance and a weight coefficient is assigned to each temperature change request means or a user thereof. An air conditioner temperature control device characterized in that control is performed by performing an operation according to each weight coefficient in response to a request from the temperature change request means.