JP2007155173A - Heating/cooling apparatus control system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a heating/cooling apparatus control system performing optimal operation control while considering even a stay time. <P>SOLUTION: This heating/cooling apparatus control system comprises a sensor portion 14, a parameter setting portion 21 setting personal information and the stay time of a person staying in the room, an operation performance data bank 22 storing temporal change of indoor thermal environment and energy consumption as operation performance data, an operation performance data searching portion 22 extracting plural data among the stored operation performance data as tentative selective operation performance data, an economic efficiency evaluating portion calculating economic efficiency evaluation data while considering an indoor stay time on each tentative selective operation performance data, a comfort evaluating portion calculating temporal change data of thermal comfort level to each tentative selective operation performance data, and calculating comfort evaluation data of time-to-comfort and comfort rate, a comprehensive evaluation portion selecting the operation performance data suitable for control on the basis of the economic efficiency evaluation data and the comfort evaluation data of each tentative selective operation performance data, and a control signal output portion controlling each heating/cooling apparatus on the basis of the operation performance data. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an air conditioning / heating device control system that adjusts an indoor or indoor thermal environment by using an air conditioning / heating device, and more specifically, considers economy (energy saving) and comfortable heating in consideration of a user's lifestyle. The present invention relates to an air conditioning equipment control system that realizes an environment.

In general homes, offices, factories, and other rooms where people stay (hereinafter referred to as indoors), air conditioners (air conditioners), floor heating equipment (hot carpets), fan heaters, radiant panels, and fans Air-conditioning equipment such as wind fans, ventilators and humidifiers are used.
Air conditioning equipment is primarily required to create comfort, that is, to create a comfortable thermal environment for the occupants, but that is not enough, and it is economical to keep operating costs low when creating a comfortable thermal environment. (Energy saving) is also required at the same time.

  Since comfort and economy (energy saving) are inherently conflicting requirements, it is important to achieve a comfortable thermal environment while balancing these requirements in order to control the operation of air conditioning equipment. Several control devices have been proposed for this purpose.

For example, when controlling a room to be in a thermally comfortable state using a plurality of air conditioners, the thermal comfort level (for example, a PMV (predicted mean vote) value) that serves as an index for the comfort of the thermal environment is optimally controlled, An air conditioning system control apparatus is disclosed in which the set value of each air conditioner is determined in consideration of the energy consumption of each air conditioner required at that time (see Patent Document 1).
JP-A-5-93539

  In a conventional air conditioning system control system such as an air conditioning system control device described in Patent Document 1, generally, information measured about thermal environment elements such as room temperature, humidity, and radiation temperature, and clothes of occupants Input human information such as amount and activity, and based on this information, the thermal comfort level calculated by the PMV calculation formula (PMV calculation formula according to ISO 7730) is optimized, and the amount of energy consumed is small The setting of each device is determined so as to be.

  As described above, in the conventional air conditioning equipment control system, as an element that affects the thermal comfort level, the amount of clothes and the amount of activity are incorporated into the calculation formula of the PMV value as human information so as to consider the influence thereof. I was doing. However, if only the amount of clothes and activity required for the PMV value calculation formula is considered as human information, comfort and economy may not be appropriately controlled due to differences in lifestyle and usage in each room. .

  That is, there is a problem of the room stay time of the occupants as personal information that has not been considered so far. For a particular room, the time that a person stays in that room varies from room to room. For example, in the case of each room of a general house, in the living room, there are many people who stay at all times during the day, but the bedroom and child room stay only for a short time when there is business. There are many cases. In the office of a company, people are always staying in rooms where employees of each department are staying, whereas people stay in meeting rooms and canteens only when necessary. As described above, depending on the lifestyle and the usage of the room, the staying time of the person may vary from room to room. Despite having a large impact on comfort and economy in controlling the thermal environment, staying time has not been considered much until now.

In general, when controlling an air conditioner, if the thermal comfort level is set to a comfortable state within a short period of time after starting the control, the amount of energy consumption tends to increase. It is desirable to shift the thermal comfort level to a comfortable state.
However, due to lifestyle and room usage, if a room that stays only for a short period of time is slowly transitioning from a thermal comfort level to a comfortable state, when the thermal comfort level reaches a comfortable state, the business has already been completed. As a result, a situation arises in which the air conditioning equipment must be stopped before it becomes comfortable.

  Therefore, the present invention provides an air conditioning equipment control system that performs optimum operation control in consideration of the staying time of the occupants when operating the air conditioning equipment in consideration of comfort and economy. Objective.

  An air-conditioning equipment control system of the present invention made to solve the above problems is an air-conditioning equipment operation system comprising a single or a plurality of air-conditioning equipment and a system control unit for controlling the operation of each air-conditioning equipment, and system control A sensor unit that measures indoor thermal environment data, and a parameter setting unit that sets a room stay time of the occupant along with human information of the occupant that affects the thermal comfort level that is an index of comfort The operation condition data and the indoor thermal environment at the start of the operation are set in various settings, and the time-dependent changes in the indoor thermal environment data and the energy consumption data at that time are measured for each setting and the operation result data Of the operation result data bank accumulated as the operation result data and the operation result data accumulated in the operation result data bank are adapted to the indoor thermal environment at the start of this operation The operation result data search unit that extracts a plurality of operation result data as temporarily selected operation result data, and the energy consumption over time included in each temporarily selected operation result data for each temporarily selected operation result data extracted Economic evaluation unit that calculates economic evaluation data based on the data and the staying time in the room, and for each extracted temporary selection operation result data, the indoor temperature over time included in each temporary selection operation result data Temporal change data of thermal comfort level is calculated based on environmental data and human information data, and the comfortable arrival time until the thermal comfort level reaches the comfortable state, and the time that the thermal comfort level is in the comfortable state relative to the indoor stay time A comfort evaluation unit that calculates at least one of the comfort evaluation data of the comfort ratio, and an economic evaluation calculated for each temporarily selected driving performance data Comprehensive evaluation based on data and comfort evaluation data, and from the temporarily selected operation result data, select one operation result data optimal for the current control or a plurality of operation result data suitable for the current control An evaluation unit, and controls each air-conditioning equipment based on the selected optimum operation result data or on the basis of any one operation result data designated from the selected plurality of operation result data. Like to do.

Here, “air-conditioning equipment” refers to air conditioners (air conditioners), floor heating equipment (hot carpets), fan heaters, radiant panels, fans, wind fans, ventilators, humidifiers, etc. It refers to various devices that can be electronically controlled by a computer.
The “indoor thermal environment data” is data used as a part of a parameter in a calculation formula for obtaining a thermal comfort level. When the calculation formula for the PMV value according to ISO 7730 is used as the thermal comfort level, room temperature, floor temperature (as radiation temperature), and humidity are used as parameters. In addition to the PMV value, a SET value or other calculation formula may be used as the thermal comfort level calculation formula. In this case, the thermal environment information parameter necessary for each formula is used as the indoor thermal environment data.

The “personal information of the occupant who affects the thermal comfort level” is information used as part of a parameter in the thermal comfort level calculation formula to be used. For example, when the PMV value is used as the thermal comfort level, the clothes of the visitor (naked, everyday wear, thick clothes, etc.) and the work content of the visitor (activity state such as sleeping, cleaning, work, etc.) Since these are used as parameters, they are used as human information.
In addition to the information used as a parameter for the thermal comfort calculation formula, add information that affects the extent of the comfort range of the thermal comfort as the “personal information of the occupants who affect the thermal comfort”. It may be. Specifically, the generations of the occupants (old people, adults, infants, etc.) are used to determine the range of comfort of the PMV value. It is preferable to add to one of the personal information of the occupants to be given.

  In addition, the “operating condition of the air-conditioning equipment” refers to a setting condition that can be set when using each air-conditioning equipment. For example, an air conditioner (air conditioner) can adjust the thermal environment using the set temperature as a parameter. In the apparatus, the set temperature is used as an operating condition. In addition, the power setting (strong, medium, weak) is used as the operating condition when the power setting such as strong, medium, weak, etc. can be selected instead of setting the temperature, such as floor heating equipment (hot carpet). It is done.

  According to the present invention, the operation condition of each air conditioner and the indoor thermal environment at the start of operation are set in various settings in advance, and the indoor thermal environment data at that time (for example, room temperature, floor temperature) is set for each setting. , Humidity) and energy consumption data are measured for each setting, and an operation result data bank is prepared in which operation result data is accumulated. The data of these operation results data banks are used, for example, in an environment measurement simulation room owned by the manufacturer, which is obtained by simulating the same environment as the original use room. Performance data when driving in the past may also be increased as needed.

When using the air conditioning equipment control system, the parameter setting unit first sets the personal information (clothing amount, work content, generations) of the occupants and the room stay time, and the sensor unit sets the room temperature. Measure indoor thermal environment data such as floor temperature and humidity over time.
Then, the operation result data search unit selects and extracts a plurality of operation result data matching the measurement result based on the measurement result of the indoor thermal environment data measured at the start of the current operation from the operation result data bank. The operation result data extracted at this time is selected if there is the same value as the room temperature, floor temperature, and humidity at the start of operation, and if there is no same, the closest operation result data is selected. . The extracted operation result data is referred to as provisionally selected operation result data.

Subsequently, economic evaluation and comfort evaluation are performed by the economic evaluation unit and the comfort evaluation unit for each temporarily selected operation result data.
The economic evaluation unit calculates economic evaluation data for each provisionally selected operation result data from time-consuming energy data included in each data and the set indoor stay time. As the economic evaluation data, the total energy consumption consumed during the staying time may be used. When using different energy sources such as electricity, gas, oil, etc. depending on the type of air conditioning equipment used, the total amount of energy consumed may vary depending on the unit energy price depending on the type of energy. It is more preferable to calculate the total energy consumption price converted into a monetary amount instead of the amount of energy consumption, and use this as economic evaluation data.

  For each temporarily selected operation result data, the comfort evaluation unit determines the degree of thermal comfort based on the indoor thermal environment data over time included in each temporarily selected operation result data and the set human information data. Calculate data over time. In order to evaluate comfort in consideration of the staying time, as an index, the comfortable arrival time until the thermal comfort level reaches the comfortable state, or the ratio of the time when the thermal comfort level is in the comfortable state with respect to the indoor staying time. Calculate either or both comfort ratios. The shorter the comfortable arrival time, the quicker the comfortable state is reached. It is desirable to consider the influence of this indicator as the indoor staying time is shorter. On the other hand, the comfort ratio is the ratio of the time that is a comfortable state during the staying time, and it is desirable to consider the influence of this index greatly when staying for a long time. Only one of the comfort arrival time and the comfort ratio may be used for the comfort evaluation, but it is more preferable to use both to evaluate the comfort.

The comprehensive evaluation unit performs comprehensive evaluation on each temporarily selected driving performance data based on the calculated economic evaluation data and comfort evaluation data (comfort arrival time data, comfort ratio data), and from the temporarily selected driving performance data. One operation result data optimum for the current control or a plurality of operation result data suitable for the current control is selected.
That is, when it is not necessary to perform automatic driving or give an operator an opportunity to select, one optimal driving performance data is selected.

If there is a considerable number of temporarily selected operation result data and you want to give the operator an opportunity to select, select multiple operation result data from the temporarily selected operation result data. The screen is displayed to prompt the operator to make a selection.
Thereby, what the operator selected by input operation will be selected as driving performance data suitable for this control.

  And each air-conditioning apparatus is controlled based on the one operation performance data finally selected by the comprehensive evaluation part or the designation | designated by an operator's input operation.

  According to the present invention, when controlling the indoor thermal environment by controlling a plurality of cooling and heating devices, the cooling and heating devices are controlled in consideration of the comfort and economy simply calculated based on the thermal comfort level calculation formula. However, since the control of the air conditioning equipment is performed in consideration of the staying time of the occupants, the operation control of the air conditioning equipment can be realized according to the lifestyle and the usage of each room.

(Means and effects for solving other problems)
In the above invention, when the comprehensive evaluation unit selects a plurality of operation result data suitable for the current control, the comprehensive evaluation priority and characteristics of each of the selected plurality of operation result data are displayed on the screen of the display device. By doing so, the user may be prompted to specify any driving performance data.
For example, the most suitable driving performance data is displayed as an optimal plan, the next best driving performance data is displayed as an alternative, and prioritized, or the characteristics of each driving performance data (excellent economics, comfortable arrival time is the most (Short) may be displayed on the screen. Thereby, the operator can select the driving performance data according to liking with reference to the display content.

In the above-described invention, the information on the generations of the occupants may be included as the personal information together with the information on the clothes and work contents of the occupants.
As a result, it is possible to determine not only the comfort state for adults (standard) but also the comfort state for elderly people and infants, so that it is possible to realize driving control in line with generations. .

In the above invention, the parameter setting unit may further set weighting information for weighting economic evaluation data and comfort evaluation data during comprehensive evaluation.
As a result, comprehensive evaluation can be performed after adjusting the degree of influence (weight) on economic evaluation data and comfort evaluation data (comfort arrival time data, comfort ratio data). Alternatively, it is possible to perform control with preference such as emphasis on comfort.

In particular, the comprehensive evaluation unit may use the following expression (1), which is an evaluation function, as an index (Pi) for comprehensive evaluation.
Pi = αCi + βRi + γAi (1)
here,
Ci: Standardized energy consumption for the i-th temporary selection operation result data ((Energy consumption amount (consumption energy price) for the least amount of energy consumption data in the temporary selection operation result data) / (i-th temporary selection) Energy consumption in operation data (energy consumption price)))
Ri: Standardized comfortable arrival time for the i-th provisionally selected driving performance data (1 / (comfortable arrival time (unit: minutes)))
Ai: Standardized comfort ratio for the i-th provisionally selected driving performance data (time in comfortable state / time spent indoors)
α, β, γ: Weighting factors

According to this, by using the expression (1) as an evaluation function and using the comprehensive evaluation index Pi, the control including the preference such as importance on economy or comfort is mathematically expressed and executed objectively. Can do.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the following description, a PMV value calculation formula according to ISO 7730 is used as a calculation formula for the thermal comfort level. Note that the present invention is not limited to the embodiments described below, and it goes without saying that various aspects are included without departing from the gist of the present invention.

FIG. 1 is a block diagram showing a configuration of an air conditioning equipment control system according to an embodiment of the present invention.
This air conditioning equipment control system 1 is comprised by the air conditioning equipment 2 which consists of the air conditioner 2a and the floor heater 2b, and the system control part 3 which controls the whole air conditioning equipment 2 systematically.

The system control unit 3 is configured by a control computer system, and includes a control unit 10 including a CPU, an input device 11 (keyboard and mouse), a display device 12 (liquid crystal panel), and a storage unit 13 (primary storage memory and And a sensor unit 14.

The storage unit 13 is configured by an operation result data bank 31, a parameter storage area 32, and a PMV value temporal change data storage area 33, when classified by storage contents.
Among these, the operation result data bank 31 stores a plurality of operation result data. For each operation result data, the operating conditions of the air conditioner 2 (air conditioner 2a, floor heater 2b) and the indoor thermal environment (temperature, humidity, floor temperature) at the start of operation are set to various values, and the operation is performed with each setting. The indoor thermal environment data at that time was measured with the sensor unit 14 over time, and the energy consumption data was also measured over time, and was stored in a large-capacity storage memory such as an HDD as operation performance data for each setting. Is. FIG. 2 is a diagram for explaining a specific example of the data structure of the operation result data stored in the operation result data bank 31. One operation result data includes a set temperature value of the air conditioner 2a and a power set value of the floor heater 2b, and data of changes over time in room temperature, humidity, floor temperature, and energy consumption measured from the start of operation. include.

  The sensor unit 14 includes a room temperature sensor 14a for measuring indoor temperature, humidity, and floor temperature, a humidity sensor 14b, and a floor temperature sensor 14c, and sensor portions are attached to appropriate locations in the room.

  The control unit 10 will be described as function blocks for each function to be executed. The parameter setting unit 21, the driving performance data search unit 22, the economic evaluation unit 23, the PMV temporal change data calculation unit 25, and the comfortable arrival time calculation are described. A comfort evaluation unit 24 including a unit 26 and a comfort ratio calculation unit 27, a comprehensive evaluation unit 28, and a control signal output unit 29.

  The parameter setting unit 21 performs control to display an input screen on the screen of the display device 12 and to prompt the operator to input parameters. FIG. 3 shows an example of an input screen displayed on the display device 12. On the screen, the staying time in the room (0 hours (h) to 24 hours (h)), clothes that are human information (naked, thin clothes, everyday clothes, layered clothes, thick clothes), work contents (sleeping, relaxing, cleaning, A display for selecting and inputting a household (work, work) and generation (infant, adult, elderly) is displayed, and the operator performs input settings for each item by the input device 11. The input clothes, work contents, and generation data are converted into numerical parameters and used as parameter values in a PMV calculation formula described later.

  Further, on the screen, weighting information for weighting economic evaluation data calculated by the economic evaluation unit 23 described later and comfort evaluation data (comfort arrival time, comfort ratio) calculated by the comfort evaluation unit 24 ( A display for setting economy α, comfortable arrival time β, and comfortable ratio γ) is displayed. In order to make it easier for the operator to input, each of them can be set in 10 stages, but based on the ratio of the set values, it is recalculated so that the sum of α, β and γ becomes 1. It is supposed to be set.

  In addition, by displaying the setting value at the time of the previous operation and the standard setting value as the initial setting value, if the operator does not actively change the setting, the initial setting value is set, It may be possible to save the operator input.

The operation result data search unit 22 extracts, as temporarily selected operation result data, a plurality of operation result data suitable for the indoor thermal environment at the start of the current operation from among the operation result data accumulated in the operation result data bank 31. Control. For example, if the room temperature at the start of operation is 15 ° C., the humidity is 21%, and the floor temperature is 13 ° C., a plurality of operation result data whose room temperature and the like coincide with these are selected. If there is no perfect match, a value close to the value (for example, one whose difference from the current value is within a preset range) is selected.
FIGS. 4A, 4 </ b> B, and 4 </ b> C are diagrams illustrating examples of temporarily selected operation result data extracted from the operation result data bank 31. A total of three room temperature, humidity, and bed temperature that are the same as or close to the values at the start of operation are selected.

  The economic evaluation unit 23 calculates the economic evaluation data for each extracted temporary selection operation result data based on the consumption energy data and the staying time in the room included in each temporary selection operation result data. Control to calculate. For example, when the staying time in the room is set to 60 minutes, the total energy consumption from the start of operation to 60 minutes is calculated, and control is performed to output as economic evaluation data. For convenience in comprehensive evaluation described later, as described in the equation (1), the normalized energy consumption (Ci) obtained by standardizing the energy consumption is used as economic evaluation data. In the present embodiment, since energy is used as the energy source of the air conditioning equipment 2, the amount of energy consumed is used. However, as described above, when different energy sources such as oil and gas are used. The standardized energy consumption price is used as economic evaluation data.

  The comfort evaluation unit 24 includes a PMV temporal change data calculation unit 25, a comfortable arrival time calculation unit 26, and a comfort ratio calculation unit 27. Among these, the PMV temporal change data calculation unit 25 extracts each temporarily selected operation. Based on actual temperature data (temporal change data of temperature, humidity, floor temperature) and human information data (clothing amount, work contents) included in each temporary selection operation result data Then, the PMV value calculation formula for calculating the thermal comfort level is used to calculate the PMV value at each time point and to output the PMV value change data over time.

FIG. 5 is a diagram illustrating a specific example of the calculated PMV value. PMV calculated based on time-dependent data of room temperature, humidity, and floor temperature measured at 1 minute intervals and human information data for two temporarily selected operation performance data (NO.1 data and NO.2 data) Value.
Of the two data, NO. One data is an example of a change over time when the air-conditioning equipment is operated so that the PMV value becomes comfortable in a short time. The 2 data is an example of a change with time when driving slowly so that the PMV value becomes comfortable. The temporal change data of the PMV value for each temporarily selected operation result data calculated is temporarily stored in the PMV value temporal change data storage area 33 of the storage unit 13.

In general, the PMV value varies in the range of −3 to +3. According to ISO7730, the range of -0.5 to +0.5 is set as a standard comfortable range.
However, since the range of the PMV value that is felt comfortable varies depending on the generations of the elderly, adults, and infants, in this embodiment, the range of the comfort state is changed according to the setting of the generations by the parameter setting unit 21. ing. Specifically, if the generation is set for infants, -0.4 to +0.4, if the setting is for adults, -0.5 to +0.5, if the setting is for elderly people, The comfortable range is set to 0.6 to +0.6.

  6 is a diagram for explaining the relationship between the change over time in the PMV value and the comfort state for the data shown in FIG. When the comfortable range for one data is −0.5 to +0.5 (adult setting), FIG. When the comfortable range is set to -0.5 to +0.5 (setting for adults) for the two data, FIG. The relationship when the comfortable range is set to -0.6 to +0.6 (setting for elderly people) for one data is shown.

The comfortable arrival time calculation unit 26 calculates a comfortable arrival time until the PMV value reaches a comfortable state.
For example, in FIGS. _6A , _{6 </ b> B} , and _{6 </ b > C} , the times T _reach1 , T _reach2 , and T _reach3 until the PMV value first reaches the comfortable range are calculated.
For convenience in comprehensive evaluation described later, the standardized comfortable arrival time (Ri) obtained by standardizing the comfortable arrival time is used as the comfort evaluation data as described in the equation (1).

The comfort ratio calculation unit 27 calculates the comfort ratio, that is, the ratio of the time during which the PMV value is in a comfortable state with respect to the set indoor stay time.
For example, in FIGS. _6A , _6B , and _6C , when the indoor stay times set are T _all1 , T _all2 , and T _all3 , the times during which the PMV values are within the comfortable range are _Tok1 , T _OK2, When a _T ok3, comfort ratio is calculated as _{T ok1 / T all1, T ok2} / T all2, T ok3 / T all3.
In some cases, the comfortable range may not be entered during the stay time. In this case, the comfort ratio is always 0, and the comfort ratio is always set to a value from 0 to 1 (comfortable). The comfort ratio in which the ratio is in the range of 0 to 1 is called the standardized comfort ratio).

The comprehensive evaluation unit 28 calculates, for each temporarily selected driving performance data, the calculated economic evaluation data and comfort evaluation data, that is, normalized energy consumption (Ci), normalized comfort arrival time (Ri), normalized comfort ratio ( Based on (Ai), an index value (Pi) for comprehensive evaluation is obtained by the above equation (1) which is an evaluation function. At this time, α, β, and γ (α + β + γ = 1) that are weighting coefficients set in advance by the parameter setting unit 21 are used.
And the comprehensive evaluation part 28 selects the thing with the largest parameter | index (Pi) among the temporarily selected driving | operation performance data further as driving | operation performance data used for this control.

  The control signal output unit 29 extracts the setting value of each air conditioning device 2 included in the operation result data selected by the comprehensive evaluation unit 28, and outputs a control signal so that the air conditioning device 2 has the same setting as this. Thereafter, the air conditioner 2 is operated according to the set conditions.

  Next, the processing operation by said air-conditioning equipment control system 1 is demonstrated. 7 and 8 are flowcharts for explaining the operation of the air conditioning equipment control system 1.

As a premise, it is assumed that operation result data is already stored in the operation result data bank 31.
When the operation of the air conditioning control system 1 is started, an input screen (refer to FIG. 3) is displayed on the display device 12. Therefore, using the input device 11 such as a mouse, the personal information (clothes, work contents, The generation group) sets the staying time of the occupants, and further sets the necessary parameters by setting the weighting information for adjusting the weights of the economic evaluation and the comfort evaluation during the comprehensive evaluation (S101). ).

Subsequently, the current thermal information (room temperature, humidity, floor temperature) is measured by the sensor unit 14, and the measurement result is input (S102).
Subsequently, the operation result data bank 31 is searched, and for each operation result data, a plurality of operation result data in which the thermal information data at the start of operation is the same as or close to the current thermal information measured this time are extracted. And the number (N) of the extracted cases is stored (S103). An argument “i” is attached to each extracted operation result data, and each is identified as provisionally selected operation result data Di (i = 1 to N).
The number of cases extracted as temporarily selected operation result data is determined (S104). When the number of cases is 0, a warning display indicating that there is no appropriate operation result data is displayed. When the number of cases is 1, the subsequent calculation is performed. Since the operation result data is used without performing it, a message to that effect is displayed (S105), and the process is terminated.

When there are N pieces (N> 2) corresponding to the provisionally selected operation result data, “i” is used as an argument for counting the number of repeated calculations. Therefore, 0 is substituted for i as an initial value (S106), and i is further replaced with i + 1 for repeated calculation (S107).
As a result, the first time since the argument i is 1, provisional selection operation record data D ₁ are extracted.
Subsequently, the process proceeds to a subroutine process (S) for calculating the index Pi by the evaluation function shown in FIG. 8 (S108).

In the Pi calculation subroutine process (S), a normalized energy consumption (Ci) obtained by normalizing the energy consumption is calculated as economic evaluation data of the provisionally selected operation data Di (initially D ₁ ) corresponding to the argument i. (S201).
Subsequently, a standardized comfort ratio Ai (initially A ₁ ) is calculated as comfort evaluation data (S202).
Subsequently, the normalized comfort arrival time Ri (initially R ₁ ) is calculated as comfort evaluation data (S203).
Subsequently, while referring to the weighting information (α, β, γ), the standardized comfort ratio Ai, the standardized comfortable arrival time Ri, and the index Pi (first) for the provisionally selected driving performance data Di by the equation (1) Calculates P ₁ ) (S204).
When the calculation of the index Pi is finished, the process returns to S108 of the main routine again.

The value of the current argument i is confirmed (S109). If the argument i is not N, the process returns to S107, the argument i is incremented by 1, and the subroutine process (S) is repeated. If the argument i becomes N, the process proceeds to the next process (S110).
The maximum value (Max Pi) is obtained from the index Pi for all the temporarily selected operation result data Di (i = 1 to N) selected (S110), and the temporarily selected operation result data corresponding to the Pi is obtained this time. Decide on the operation data to be used for control.

And each setting of applicable operation performance data is extracted, the control signal for setting it to each extracted setting is output to each of the air conditioning equipment 2, and control of the air conditioning equipment 2 is performed by the setting after that (S111).
With the above processing, the air conditioning apparatus 2 is optimally set in consideration of the staying time of the occupants, so that the optimal operation can be executed.

  In the above-described embodiment, the PMV calculation formula according to ISO 7730 is used as the calculation formula for the thermal comfort level. However, the present invention is not limited to this, and other calculation formulas for evaluating the thermal comfort level may be used.

  In the above-described embodiment, the air conditioner 2a and the floor heater 2b are used as the air conditioner 2. However, the same applies to the case where the air conditioner 2a is used alone as in the case where the air conditioner 2a is used alone. It is.

  In the above-described embodiment, one driving record data having the maximum index Pi is extracted. For example, as shown in FIG. 9, a plurality of sub-optimal driving record data are included together with optimum driving record data. The driving performance data may be displayed on the screen, and the operator may select any desired driving performance data on the screen.

  INDUSTRIAL APPLICABILITY The present invention can be used in a control system that controls an indoor thermal environment using a plurality of air conditioning equipment.

The block diagram which shows the structure of the air-conditioning equipment control system which is one Embodiment of this invention. The figure explaining the data structure of the operation result data accumulated in the operation result data bank The figure which shows the example of an input screen for parameter setting displayed on the display apparatus. The figure explaining the example of temporarily selected driving performance data extracted from the driving performance data bank. The figure which shows the specific example of the PMV value calculated using the PMV value calculation formula which calculates a thermal comfort degree. The figure explaining the relationship between a time-dependent change of PMV value and a comfortable state. The flowchart (main flowchart) explaining the operation | movement by an air-conditioning apparatus control system. The flowchart (subflowchart) explaining the operation | movement by an air-conditioning apparatus control system. The figure which shows an example of the screen display which prompts the designation | designated of one driving performance data from several driving performance data.

Explanation of symbols

1: Air-conditioning equipment control system 2: Air-conditioning equipment 2a: Air conditioner 2b: Floor heater 3: System control unit (computer system for control)
10: Control unit (CPU)
11: Input device (keyboard, mouse)
12: Display device (liquid crystal panel)
13: Storage unit 13 (HDD, ROM, RAM)
14: Sensor unit (room temperature sensor, humidity sensor, floor temperature sensor)
21: Parameter setting unit 22: Driving performance data search unit 23: Economic evaluation unit 24: Comfort evaluation unit 25: PMV temporal change data calculation unit 26: Comfortable arrival time calculation unit 27: Comfort rate calculation unit 28: Overall evaluation unit 29: Control signal output unit 31: Operation result data bank 32: Parameter storage area 33: PMV value temporal change data storage area

Claims (5)

An air conditioning equipment operation system comprising a single or a plurality of air conditioning equipment and a system control unit that controls the operation of each air conditioning equipment,
The system control unit includes a sensor unit that measures indoor thermal environment data,
A parameter setting unit for setting the staying time of the occupant together with the human information of the occupant who affects the thermal comfort level that is an index of comfort;
The operation condition of each of the air-conditioning equipment and the indoor thermal environment at the start of the operation are operated in various settings, and the time-dependent changes in the indoor thermal environment data and the energy consumption data at that time are measured for each setting as operation result data Accumulated operation data bank,
An operation result data search unit that extracts, as temporarily selected operation result data, a plurality of operation result data that matches the indoor thermal environment at the start of this operation among the operation result data accumulated in the operation result data bank;
An economic evaluation unit that calculates economic evaluation data based on energy consumption data and time spent indoors included in each temporarily selected operation result data for each temporarily selected operation result data extracted,
With respect to each temporarily selected operation result data extracted, the temporal change data of the thermal comfort level is calculated based on the indoor thermal environment data and human information data over time included in each temporarily selected operation result data, A comfort evaluation unit that calculates comfort evaluation data of at least one of a comfort arrival time until the thermal comfort level reaches a comfortable state and a comfort ratio that is a ratio of a time during which the thermal comfort level is in a comfortable state with respect to the indoor stay time; ,
Comprehensive evaluation is performed based on the economic evaluation data and comfort evaluation data calculated for each temporarily selected operation result data, and one operation result data most suitable for the current control from the temporarily selected operation result data or the current control And a comprehensive evaluation unit that selects multiple driving performance data suitable for
Each air conditioner is controlled on the basis of the selected optimum operation result data or on the basis of any one of the plurality of selected operation result data. Air conditioning equipment control system. When the multiple evaluation results suitable for the current control are selected, the comprehensive evaluation unit displays the priority and characteristics of the comprehensive evaluation for each of the selected multiple operation results data on the screen of the display device. 2. The air conditioning equipment control system according to claim 1, wherein the operation result data is prompted to be specified. 2. The air conditioning equipment control system according to claim 1, wherein the information on the generations of the occupants is included as the personal information together with the information on the clothes and work contents of the occupants. 2. The air conditioning equipment control system according to claim 1, wherein the parameter setting unit further sets weighting information for weighting economic evaluation data and comfort evaluation data in comprehensive evaluation. 5. The air conditioning equipment control system according to claim 4, wherein the comprehensive evaluation unit uses the following expression (1) as an evaluation function as an index (Pi) for comprehensive evaluation.
Pi = αCi + βRi + γAi (1)
here,
Ci: Standardized energy consumption for the i-th provisionally selected operation result data ((the amount of energy consumption (consumption energy price) of the smallest data in the provisionally selected operation result data) / (i-th provisionally selected operation result data) Energy consumption (energy consumption price)))
Ri: Standardized comfortable arrival time for the i-th provisionally selected driving performance data (1 / (comfortable arrival time))
Ai: Standardized comfort ratio for the i-th provisionally selected driving performance data (time in comfortable state / time spent indoors)
α, β, γ: Weighting factors

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