JPS60107103A - Optimal start/stop control method - Google Patents

Abstract

PURPOSE:To perform the optimum start-stop control with high accuracy by deciding the optimum start and stop time points of that relevant day from the past data. CONSTITUTION:The temperature of a room is sent to a controller 2 from a temperature sensor 1 set within the the room, and an air conditioner 3 is controlled by the controller 2 according to the temperature information. In this case, the room temperature of that relevant day is detected to obtain the difference from the target temperature and then the estimated temperature change rates alpha and beta of the previous day or a specific day are read out. The optimum start and stop time points are decided from the temperature difference of that day and said rates alpha and beta to start and stop the conditioner 3. While the rates alpha and beta are calculated and stored from the time during which the target temperature is obtained as well as the temperature difference of that day. Thus the warm-up time and the stop period are obtained from the room temperature and the target temperature to decide an optimum start/stop time point for control.

Description

[Detailed Description of the Invention] [Backbone of the Invention] Conventionally, past target temperature reaching times, temperatures at that time, etc. have been memorized. Ki, Bi'bow 3i. Methods for determining the optimal start and stop times for I equipment are known.

However, Sora memorizes the temperature and other data at that time in Human-1iE for the past several L1 shelf temperature reaches,
Also, a complicated mathematical formula was used to determine the starting time.

Therefore, it is possible to obtain fairly accurate values, or the room usage conditions from the air conditioner startup start time to the room usage start time, from the shutdown f1 time to the room usage end time, and the external conditions are
Since the value is different for each unit, there is a drawback that highly accurate values are not sufficiently reflected in actual control.

[Purpose of the invention]

The purpose of the present invention is to use data from the previous day or a specific
Estimate the expected temperature change rate of ``i]1 and determine the optimal start and stop times using a simple method so that the room temperature reaches the target temperature at the time when the room is started and when it is stopped. This is to provide a way to do so.

[Summary of the invention]

The key point of the present invention is to determine the optimum start time for the H and the optimum stop time 11 for the H based on past data.

A method of calculating the optimal warm-up time until the room temperature reaches the target M4 temperature at the room use start time and starting the air conditioner at the optimal startup time will be described.

The optimal warming-up time is: Warming-up time = α × (Target temperature - Living room temperature)
(1) Here, α is the predicted rate of temperature change during warming-up operation. Since the value of α is fixed and the target temperature is set in advance, the warming amplifier time can be easily estimated just by observing the room temperature.

We will show how to calculate the value of α using data from the previous day.

Figure 1 shows the room temperature warming of ni7)]. If you start the air conditioner at the optimal start time 12 based on the time t3 from startup until the shelf temperature is reached on a bright day, the time when it reaches the ``I standard vorticity a'' is the time 1 when you start using the room. , it was 4+. It was slightly faded. Therefore, from the arrival time ↑ 4 to reach the target temperature a, and the temperature difference a3 between the target temperature a and the living room temperature a2, the expected temperature change rate a is , α” j 4 / a 3 ... (2) This corrected α shall be used on the day. The warm-up time for the current day is determined from equation (1) by determining the current room temperature, and multiplying the temperature difference from the target humidity by the value of α corrected from the previous day's data. Therefore, by starting the air conditioner a warm-up time before the time of use of the room on the day, the temperature of the room will reach the target temperature by the time of start of use.

(b) Optimal Shutdown Control A method will be described in which the time during which the room temperature can be maintained within the target temperature range is calculated, and the air conditioner is stopped at the end time of use.

Equation (2) is a simple equation for determining the time during which a comfortable temperature can be maintained.

Comfortable temperature maintenance time = β × (room temperature - target temperature)
(3) Here, β is the pre-111+temperature change rate when the air conditioning is stopped.

Most 'Ji! As with the i-start control method, once the value of β is determined, the comfortable humidity retention time can be reduced to a simpler value using equation (2), and the optimum stop time of the air conditioner can be determined. A method is shown in which the value of β is calculated using data from the previous day. Figure 2 shows the change in room temperature. Comfortable humidity retention time t determined two days ago
When the air conditioner is stopped at the optimum stop time t6 based on the time t7, the time when the target temperature a4 is reached is actually shifted from the end-of-use time t5. From the time t8 from the optimum stop time 16 until the target temperature a4 is reached and the temperature difference a6 between the living room temperature a5 and the target temperature a4, β is determined by equation (3) and used as the expected temperature change rate for the day.

β= t 6/a 6 ...(3) On the day, this β
By multiplying the value by the temperature difference between the target temperature and the living room temperature, the time required to maintain a comfortable temperature is calculated from equation (3), and the optimum stopping time is determined.

Here, the explanation has been made using data from the previous day, but when using data from a specific day as past data, the difference between the target temperature and the living room temperature is stored for several days. By selecting and identifying a day when the temperature difference between the target humidity and room temperature for that day is close to [1 and using the data for that day to estimate the expected temperature change rate], and estimating the same as described above, the optimal start/stop +1- can be controlled.

[Embodiments of the invention]

An embodiment of the present invention will be described below with reference to FIGS. 3 to 5. As shown in Fig. 3, the overall configuration is as follows: temperature sensor 1,
It consists of a control device 2 and an air conditioner 3.

The room temperature is sent from a temperature sensor 1 installed indoors to the control device, and the control device J/2 controls the air conditioner 3 based on the information. FIG. 4 shows the basic bus configuration of the control device. A memory 5, an input/output device 6, and lotus interfaces 8 and 10 are connected to the central control unit CPU4 via a lotus 7, and furthermore, a bus interface 8. ]0
An air conditioner 9 and a temperature sensor 11 are connected to.

FIG. 5 shows an outline of the calculation flow for the optimum start/stop time.

First, it detects the room temperature on that day and calculates the temperature difference between it and the target temperature. Next, the rate of change in r and expected temperature on the previous day or on a specific day α, β
Read out. The optimum starting/stopping time is determined from the temperature difference on the day and the expected temperature change rates α and β, and the air conditioning equipment is started/stopped. Furthermore, the predicted temperature change rates α and β are determined based on the time required to reach the target altitude and the temperature difference on the day, and α and β are stored.

According to this embodiment, the following effects are achieved.

(1) By simply memorizing the 1'-temperature change rate of the previous day or the temperature difference and expected temperature change rate of a specific day, the optimal start/stop time for air conditioners can be estimated, reducing storage capacity. can.

(2) Optimal start/stop control can be performed using a simple method.

〔Effect of the invention〕

According to the present invention, it is possible to easily estimate the optimum start time and stop time of air conditioning equipment with a minimum memory capacity, and provide a comfortable environment for personnel in the building at the start time of use of the room. be able to. In addition, energy consumption from the time when the air conditioning equipment is stopped to the time when the use of the room ends can be reduced.

[Brief explanation of the drawing]

Fig. 1 is an explanatory diagram of the optimum start ■ and ¥ time determination method, Fig. 2 is an explanatory diagram of the optimal stop time determination method, Fig. 3 is an overall configuration diagram of the present invention, and Fig. 4 is an explanatory diagram of the control device of the present invention. basic path 4i
FIG. 5 is a schematic diagram of the calculation flow for determining the activation start time of the present invention. 1.11...Temperature sensor, 2.Control device, 3,9...
・Air conditioning equipment, 4... Central control unit CPU, 5... Memory, 6... Input/output device, 7... Bus, 8, 10 ・
Bus Inn 1st Plan 2nd Figure 3I\I1 Figure 4

Claims (1)

[Scope of Claims] 1. In the hill control device 1'i, the air conditioner has 21'
L, the temperature of the living room at the start time and end time of the living room is [eye:'A? In! When performing start/stop control that reaches a certain temperature, learn past data, calculate the warm-up time and stop time from the learned value, the temperature of the room recorded in 611, and the target temperature, and determine the optimal start-up time for the day. 1
＋'Optimal start/stop characterized by determining the stop time (
- Control force method. 2. Claim No. 111]'i, the previous day's r
Determine the expected temperature change rate using the data that the temperature in the living room described in IXj reaches the target temperature in IV111, and set the temperature in the living room in 01f to reach the target temperature in 1111 at the start and end times of use. , determining the stop time. 3. In claim 1, the difference between the target temperature and the temperature of the living room on that day is determined from among the past data. Select a nearby day, make that day a specific day, and set this specific 11
Determine r and expected temperature change 1r using the data of 1)
11. An optimal start/stop control method characterized by setting a warm-up time and a comfortable temperature maintenance time.