hereinafter , an embodiment of an air conditioning control apparatus , an air conditioning control method , and an air conditioning control program disclosed by the present application will be described in detail with reference to the drawings . hereinafter , as an air conditioning control apparatus disclosed by the present application , an example of a system constituted by it equipment a computer monitoring system and an air conditioning control apparatus is used . the technique disclosed by the present application is not limited by an embodiment described below as an embodiment of the air conditioning control apparatus , the air conditioning control method , and the air conditioning control program . the air conditioning control apparatus according to the first embodiment generally controls air conditioning in a datacenter 305 where it equipments 303 a to p such as computers or the like is installed . an outline of the air conditioning control apparatus according to the first embodiment will be described below . a characteristic formula is obtained by approximating total energy consumption in the datacenter 305 ( energy consumption by it equipments 303 a to ps and energy consumption by air conditioners 301 a to d ) by a predetermined function formula with an intake air temperature taken into it equipments 303 a to p as a variable . by using this characteristic formula , an intake air temperature at which the total energy consumption value becomes minimum value is calculated , and a control value of the air conditioning is set so that the calculated intake air temperature is realized . hereinafter , the air conditioning control apparatus according to the first embodiment will be specifically described . fig1 is a diagram for explaining a configuration of an air conditioning control apparatus according to the first embodiment . as illustrated in fig1 , the it equipments monitoring system 100 monitors it equipments 303 a to p such as computers and a storage installed in a datacenter 305 , and includes the it equipment energy consumption measurement function section 110 and the it equipment intake air temperature measurement function section 120 . the it equipment energy consumption measurement function section 110 measures energy consumption of each of it equipments 303 a to p in the datacenter 305 . specifically , the it equipment energy consumption measurement function section 110 obtains a current value , a voltage value , and the like used by it equipments 303 a to p from detector in ups ( uninterruptible power supply ) installed inside each of it equipments 303 a to p in the datacenter 305 at an energy consumption measurement timing . the it equipment energy consumption measurement function section 110 calculates energy consumption of it equipments 303 a to p from the obtained current value and voltage value , and stores the energy consumption in a storage section included inside the it equipment energy consumption measurement function section 110 or the like . the it equipment intake air temperature measurement function section 120 measures an intake air temperature of each it equipments 303 a to p in the datacenter 305 . specifically , the it equipment intake air temperature measurement function section 120 obtains an intake air temperature of it equipments 303 a to p from a temperature detectors such as sensors installed in each it equipments 303 a to p in the datacenter 305 at an intake air temperature measurement timing , and stores the obtained intake air temperature in a storage section included inside the it equipment intake air temperature measurement function section 120 or the like . the it equipment energy consumption measurement function section 110 and the it equipment intake air temperature measurement function section 120 perform measurement processing independently from each other . the same timing is set to the energy consumption measurement timing and the intake air temperature measurement timing in advance , and the energy consumption and the intake air temperature are stored so that the measurement results can be associated with each other . as illustrated in fig1 , the air conditioning control apparatus 200 controls an air conditioners 301 a to d installed in the datacenter 305 , and includes the air conditioning energy consumption measurement function section 210 , the optimal it equipment intake air temperature calculation function section 220 , and the it equipment temperature control function section 230 . the air conditioning energy consumption measurement function section 210 measures energy consumption of the air conditioners 301 a to d installed in the datacenter 305 . specifically , the air conditioning energy consumption measurement function section 210 obtains a current value , a voltage value , and the like used by the air conditioners 301 a to d from a detector installed a distribution board having a power supply to the air conditioners 301 a to d in the datacenter 305 at an air conditioners 301 a to d energy consumption measurement timing . the air conditioning energy consumption measurement function section 210 calculates energy consumption of the air conditioners 301 a to d from the obtained current value and voltage value , and stores the energy consumption in a storage section included inside the air conditioning energy consumption measurement function section 210 . the optimal it equipment intake air temperature calculation function section 220 obtains a characteristic formula which is obtained by approximating total energy consumption ( energy consumption by it equipments 303 a to p and energy consumption by air conditioners 301 a to d ) in the datacenter 305 where the air conditioners 301 a to d is installed by a predetermined function formula with an intake air temperature taken into it equipments 303 a to p as a variable , for a certain time period . by using this characteristic formula , an intake air temperature at which the total energy consumption value becomes minimum value is calculated . for example , as illustrated in fig2 , a case in which a quadratic equation having coefficient values “ a = 0 . 19 , b =− 6 . 60 , and c = 264 . 9 ” and a variable x of intake air temperature “ tit ” is employed as a function formula to approximate the total energy consumption will be described below . fig2 is a diagram illustrating a relationship between the total power consumption ( total energy consumption ) and the temperature of intake air taken into it equipments 303 a to p according to the first embodiment . in this case , the optimal it equipment intake air temperature calculation function section 220 can obtain a total power ( energy ) consumption characteristic formula ( 1 ) by approximating the total energy consumption in the datacenter 305 where the air conditioners 301 a to d is installed by a quadratic function with an intake air temperature as a variable . further , the optimal it equipment intake air temperature calculation function section 220 can obtain an intake air temperature “ tit = 17 . 4 ° c .” at which the total energy consumption becomes minimum by obtaining a formula ( 2 ) that is the first derivative formula of the total power consumption characteristic formula ( 1 ) and calculating a minimum value that can be obtained from the formula ( 2 ). the it equipment temperature control function section 230 updates a control value of the air conditioners 301 a to d so that the intake air temperature calculated by the optimal it equipment intake air temperature calculation function section 220 is realized . for example , in a case illustrated in fig2 , the it equipment temperature control function section 230 updates a control value for adjusting a temperature of cooling - air blown from the air conditioners 301 a to d so that the intake air temperature of the it equipments 303 a to p becomes “ tit = 17 . 4 ° c .”. fig3 to 6 are diagrams illustrating a process flow according to the first embodiment . first , measurement processing of energy consumption of the it equipments 303 a to p will be described with reference to fig3 . as illustrated in fig3 , the it equipment energy consumption measurement function section 110 waits for a timing of measuring energy consumption of the it the equipment ( step s 1 ). when it reaches the timing of measuring energy consumption ( step s 1 : yes ), the it equipment energy consumption measurement function section 110 obtains a current value , a voltage value , and the like used by the it equipments 303 a to p from the detector installed the ups ( uninterruptible power supply ) installed inside each it equipments 303 a to p in the datacenter 305 ( step s 2 ). the it equipment energy consumption measurement function section 110 calculates energy consumption of the it equipments 303 a to p from the obtained current value and voltage value ( step s 3 ), and stores the energy consumption in a storage section included inside the it equipment energy consumption measurement function section 110 or the like ( step s 4 ). after storing the energy consumption of the it equipments 303 a to p , the it equipment energy consumption measurement function section 110 returns again to step s 1 described above , and waits for the timing of measuring energy consumption of the it equipments 303 a to p . when the system is operating , by repeating the above described steps s 1 to s 4 , the it equipment energy consumption measurement function section 110 performs the measurement of energy consumption of the it equipments 303 a to p . the timing of measuring energy consumption of the it equipments 303 a to p can be set by a user in advance to an interval such as one - minute interval , three - minute interval . next , measurement processing of intake air temperature of the it equipments 303 a to p will be described with reference to fig4 . as illustrated in fig4 , the it equipment intake air temperature measurement function section 120 waits for a timing of measuring intake air temperature of the it equipments 303 a to p ( step s 11 ). when it reaches the timing of measuring intake air temperature ( step s 11 : yes ), the it equipment intake air temperature measurement function section 120 obtains an intake air temperature of the it equipments 303 a to p from a sensor installed in each of it equipments 303 a to p in the datacenter 305 ( step s 12 ), and stores the obtained intake air temperature in a storage section included inside the it equipment intake air temperature measurement function section 120 or the like ( step s 13 ). after storing the intake air temperature , the it equipment intake air temperature measurement function section 120 returns again to step s 11 described above , and waits for the timing of measuring intake air temperature of the it equipments 303 a to p . when the system is operating , by repeating the above described steps s 11 to s 13 , the it equipment intake air temperature measurement function section 120 performs the measurement of intake air temperature of the it equipments 303 a to p . the timing of measuring intake air temperature of the it equipments are set to the same as the timing of measuring energy consumption of the it equipments 303 a to p so that the intake air temperature can be associated with the energy consumption of the it equipments 303 a to p . next , measurement processing of energy consumption of the air conditioners 301 a to d will be described with reference to fig5 . as illustrated in fig5 , the air conditioning energy consumption measurement function section 210 waits for a timing of measuring energy consumption of the air conditioners 301 a to d ( step s 21 ). when it reaches the timing of measuring energy consumption of the air conditioners 301 a to d ( step s 21 : yes ), the air conditioning energy consumption measurement function section 210 obtains a current value , a voltage value , and the like used by the air conditioners 301 a to d from the detector installed the distribution board ( step s 22 ). the air conditioning energy consumption measurement function section 210 calculates energy consumption of the air conditioners 301 a to d from the obtained current value and voltage value ( step s 23 ), and stores the energy consumption in a storage section included inside the air conditioning energy consumption measurement function section 210 ( step s 24 ). after storing the energy consumption of the air conditioners 301 a to d , the air conditioning energy consumption measurement function section 210 returns again to step s 21 described above , and waits for the timing of measuring energy consumption of the air conditioners 301 a to d . when the system is operating , by repeating the above described steps s 21 to s 24 , the air conditioning energy consumption measurement function section 210 performs the measurement of energy consumption of the air conditioners 301 a to d . the timing of measuring energy consumption of the air conditioners 301 a to d is set to the same as the measurement timing of the it equipment monitoring system 100 so that the energy consumption of the air conditioners 301 a to d can be associated with the measurement result of the it equipment monitoring system 100 . next , processing of updating a control value of the air conditioners 301 a to d will be described with reference to fig6 . as illustrated in fig6 , the optimal it equipment intake air temperature calculation function section 220 waits for a timing of updating the control value of the air conditioners 301 a to d ( step s 31 ). when it reaches the timing of updating the control value of the air conditioners 301 a to d ( step s 31 : yes ), the optimal it equipment intake air temperature calculation function section 220 obtains a target operation period for which the control value is updated ( step s 32 ), and reads energy consumption of the air conditioners 301 a to d in the target operation period from the air conditioning energy consumption measurement function section 210 ( step s 33 ). further , the optimal it equipment intake air temperature calculation function section 220 obtains energy consumption of the it equipments 303 a to p in the target operation period from the it equipment monitoring system 100 ( step s 34 ), and obtains intake air temperatures of the it equipments 303 a to p in the target operation period from the it equipment monitoring system 100 ( step s 35 ). the optimal it equipment intake air temperature calculation function section 220 obtains a characteristic formula which is obtained by approximating the total energy consumption in the datacenter 305 where the air conditioners 301 a to d is installed by a quadratic function with an intake air temperature of the it equipments 303 a to p as a variable for the target operation period ( step s 36 ). the optimal it equipment intake air temperature calculation function section 220 obtains an intake air temperature at which the total energy consumption value becomes minimum value by calculating a minimum value of the first derivative formula of the characteristic formula ( step s 37 ). the it equipment temperature control function section 230 updates the control value of the air conditioners 301 a to d so that the intake air temperature calculated by the optimal it equipment intake air temperature calculation function section 220 is realized ( step s 38 ). the optimal it equipment intake air temperature calculation function section 220 returns again to step s 1 described above , and waits for the timing of updating the control value of the air conditioners 301 a to d . when the system is operating , by repeating the above described steps s 1 to s 8 , the optimal it equipment intake air temperature calculation function section 220 performs the update of the control value of the air conditioners 301 a to d . the target operation period for which the control value is updated is a system operation period in which energy consumption for calculating an intake air temperature at which the total energy consumption value becomes minimum value is obtained . for example , a target operation period , such as a period from a previous update of the control value to this time &# 39 ; s update of the control value , is set in the optimal it equipment intake air temperature calculation function section 220 in advance . as described above , according to the first embodiment , a characteristic formula is obtained by approximating the total energy consumption in the datacenter 305 ( energy consumption by the it equipments 303 a to p and energy consumption by the air conditioners 301 a to d ) by a predetermined function formula with an intake air temperature taken into it equipments 303 a to p as a variable . by using this characteristic formula , an intake air temperature at which the total energy consumption value becomes minimum value is calculated , and the control value of the air conditioning is set so that the calculated intake air temperature is realized . in this way , by using a correlation ( refer to fig2 ) between the total energy consumption in the datacenter 305 and the intake air temperature of the it equipments 303 a to p and adjusting the intake air temperature of the it equipments 303 a to p , it is possible to control the air conditioning so that the energy efficiency of the entire datacenter 305 including it equipments 303 a to p , air conditioners 301 a to d becomes maximum . in the first embodiment described above , the air conditioning is controlled on the basis of detecting the intake air temperature . however , the controlling method is not limited to this , but the air conditioning may be controlled on the basis of detecting a temperature of air blow from the air conditioners 301 a to d . in addition , the conditioning may be controlled on the basis of the each temperature . moreover , the conditioning may be controlled on the basis of temperature of outside of the room and the temperature of the intake of the it equipments 303 a to p . in the first embodiment described above , a case is described in which the air conditioning is controlled so that the energy value efficiency of the entire datacenter 305 becomes maximum value by adjusting the intake air temperature of the it equipments 303 a to p . however , the controlling method is not limited to this , but the air conditioning may be controlled to that the energy efficiency of the entire datacenter 305 becomes maximum by adjusting a temperature ( blowing temperature ) of air blown from the air conditioners 301 a to d . fig7 is a diagram for explaining a configuration of an air conditioning control apparatus according to a second embodiment . as illustrated in fig7 , the air conditioning control apparatus 200 further includes the blowing temperature measurement function section 240 , the optimal blowing temperature calculation function section 250 , and the blowing temperature control function section 260 . the blowing temperature measurement function section 240 measures a blowing temperature of air blown from the air conditioners 301 a to d in the datacenter 305 . specifically , the blowing temperature measurement function section 240 obtains a blowing temperature of the air conditioners 301 a to d from a detector as a sensor installed in each air conditioners 301 a to d in the datacenter 305 , and stores the obtained blowing temperature in a storage section included inside the blowing temperature measurement function section 240 or the like . the optimal blowing temperature calculation function section 250 obtains a characteristic formula which is obtained by approximating the total energy consumption in the datacenter 305 ( energy consumption by the it equipments 303 a to p and energy consumption by the air conditioners 301 a to d ) by a predetermined function formula with a blowing temperature of the air conditioners 301 a to d as a variable . by using this characteristic formula , a blowing temperature at which the total energy consumption value becomes minimum value is calculated . for example , as illustrated in fig8 , a case in which a quadratic equation having coefficient values “ a = 0 . 19 , b =− 4 . 71 , and c = 264 . 9 ” and a variable x of blowing temperature “ tac ” is employed as a function formula to approximate the total energy consumption will be described below . fig8 is a diagram illustrating a relationship between the total power consumption ( total energy consumption ) and a blowing temperature of the air conditioners 301 a to d according to the second embodiment . in this case , the optimal blowing temperature calculation function section 250 can obtain a total power ( energy ) consumption characteristic formula ( 1 ) by approximating the total energy consumption in the datacenter 305 where the air conditioners 301 a to d is installed by a quadratic function with a blowing temperature as a variable . further , the optimal blowing temperature calculation function section 250 can obtain a blowing temperature “ tac = 12 . 4 ° c .” at which the total energy consumption becomes minimum by obtaining a formula ( 2 ) that is the first derivative formula of the total power consumption characteristic formula ( 1 ) and calculating a minimum value that can be obtained from the formula ( 2 ). the blowing temperature control function section 260 updates the control value of the air conditioners 301 a to d so that the blowing temperature calculated by the optimal blowing temperature calculation function section 250 is realized . for example , in a case illustrated in fig8 , the blowing temperature control function section 260 updates the control value of the air conditioners 301 a to d so that the blowing temperature of the cooling air blown from the air conditioners 301 a to d becomes “ tac = 12 . 4 ° c .”. fig9 and 10 are diagrams illustrating a process flow according to the second embodiment . first , measurement processing of a blowing temperature of the it equipments 303 a to p will be described with reference to fig9 . the measurement processing of energy consumption of the it equipments 303 a to p ( fig3 ) and the measurement processing of energy consumption of the air conditioners 301 a to d ( fig5 ) are the same as those of the embodiment 1 described above , and thus the descriptions thereof will be omitted . as illustrated in fig9 , the blowing temperature measurement function section 240 waits for a timing of measuring a blowing temperature ( step s 41 ). when it reaches the timing of measuring a blowing temperature ( step s 41 : yes ), the blowing temperature measurement function section 240 obtains a blowing temperature of the cooling - air blown from the air conditioners 301 a to d from a sensor installed in each air conditioners 301 a to d in the datacenter 305 ( step s 42 ), and stores the obtained blowing temperature in a storage section included inside the blowing temperature measurement function section 240 or the like ( step s 43 ). after storing the blowing temperature , the blowing temperature measurement function section 240 returns again to step s 41 described above , and waits for the timing of measuring a blowing temperature of the air conditioners 301 a to d . when the system is operating , by repeating the above described steps s 41 to s 43 , the blowing temperature measurement function section 240 performs the measurement of a blowing temperature of the air conditioners 301 a to d . the timing of measuring a blowing temperature of the air conditioners 301 a to d is set to the same as the timing of measuring energy consumption of the air conditioners 301 a to d so that the blowing temperature of the air conditioners 301 a to d can be associated with the energy consumption of the air conditioners 301 a to d . next , processing of updating a control value of the air conditioners 301 a to d will be described with reference to fig1 . as illustrated in fig6 , the optimal blowing temperature calculation function section 250 waits for a timing of updating the control value of the air conditioners 301 a to d ( step s 51 ). when it reaches the timing of updating the control value of the air conditioners 301 a to d ( step s 51 : yes ), the optimal blowing temperature calculation function section 250 obtains a target operation period for which the control value is updated ( step s 52 ), and reads energy consumption of the air conditioners 301 a to d in the target operation period from the air conditioning energy consumption measurement function section 210 ( step s 53 ). further , the optimal blowing temperature calculation function section 250 reads blowing temperatures of the air conditioners 301 a to d in the target period from the blowing temperature measurement function section 240 ( step s 54 ), and obtains intake air temperatures of the it equipments 303 a to p in the target operation period from the it equipment monitoring system 100 ( step s 55 ). the optimal blowing temperature calculation function section 250 obtains a characteristic formula which is obtained by approximating the total energy consumption in the datacenter 305 where the air conditioners 301 a to d is installed by a quadratic function with a blowing temperature of the air conditioners 301 a to d as a variable for the target operation period ( step s 56 ). the optimal blowing temperature calculation function section 250 obtains a blowing temperature at which the total energy consumption value becomes minimum value by calculating a minimum value of the first derivative formula of the characteristic formula ( step s 57 ). the blowing temperature control function section 260 updates the control value of the air conditioners 301 a to d so that the blowing temperature calculated by the optimal blowing temperature calculation function section 250 is realized ( step s 58 ). the optimal blowing temperature calculation function section 250 returns again to step s 1 described above , and waits for the timing of updating the control value of the air conditioners 301 a to d . as described above , according to the second embodiment , a characteristic formula is obtained by approximating the total energy consumption in the datacenter 305 ( energy consumption by the it equipments 303 a to p and energy consumption by the air conditioners 301 a to d ) by a predetermined function formula with a blowing temperature of cooling air blown from the air conditioners 301 a to d as a variable . by using this characteristic formula , a blowing temperature at which the total energy consumption value becomes minimum value is calculated , and the control value of the air conditioning is set so that the calculated blowing temperature is realized . in this way , by using a correlation ( refer to fig8 ) between the total energy consumption in the datacenter 305 and the blowing temperature of the air conditioners 301 a to d and adjusting the blowing temperature of the air conditioners 301 a to d , it is possible to control the air conditioning so that the energy efficiency of the entire datacenter 305 including it equipments 303 a to p , air conditioners 301 a to d becomes maximum . however , the controlling method is not limited to this , but the conditioning may be controlled on the basis of temperature of outside of the room and the temperature of the air blow from the air conditioners 301 a to d . although , in the above embodiments , a case is described in which the control value of the air conditioners 301 a to d is updated by using naturally occurring measurement data that is measured from it equipments 303 a to p , air conditioners 301 a to d , and the like operating in the datacenter 305 , the updating method is not limited to this . for example , it is possible to update the control value of the air conditioners 301 a to d by estimating energy consumption of the it equipments 303 a to p and the air conditioners 301 a to d using data provided from a manufacturer of the it equipments 303 a to p and a manufacturer of the air conditioners 301 a to d , and using the estimated data . each constituent element of the it equipment monitoring system 100 and the air conditioning control apparatus 200 illustrated in fig1 is a functional conception , and the constituent elements do not necessarily need to be physically configured as illustrated in the figures . in other words , a specific form of distribution / integration of the air conditioning control apparatus 200 is not limited to the form illustrated in fig1 , and for example , the optimal it equipment intake air temperature calculation function section 220 and the it equipment temperature control function section 230 are integrated functionally or physically . or , the it equipment monitoring system 100 and the air conditioning control apparatus 200 are integrated functionally or physically . in such a way , all or part of the it equipment monitoring system 100 and the air conditioning control apparatus 200 can be distributed / integrated functionally or physically by arbitrary units in accordance with various loads and usage situations . further , all or any part of processing functions ( refer to fig3 to 6 and fig9 and 10 ) performed in the air conditioning control apparatus 200 can be realized by a cpu and a program analyzed and executed by the cpu , or can be realized as hardware by wired logic . the air conditioning control method described below is realized by the it equipment monitoring system 100 and the air conditioning control apparatus 200 described in the above embodiments . specifically , a air conditioning control method is realized , which includes an equipment energy consumption measurement step for obtaining a current value and a voltage value supplied from a power supply apparatus to it equipments 303 a to p and measuring energy consumption of the it equipments 303 a to p from the obtained current value and voltage value ( for example , refer to steps s 1 to s 4 in fig3 ), a system energy consumption measurement step for obtaining a current value and a voltage value supplied from a power supply section to an air conditioning system and measuring energy consumption of the air conditioning system from the obtained current value and voltage value ( for example , refer to steps s 21 to s 24 in fig5 ), an intake air temperature measurement step for measuring intake air temperature of the it equipments 303 a to p from a sensor installed in the it equipments 303 a to p ( for example , refer to steps s 11 to s 13 in fig4 ), an intake air temperature calculation step for calculating an intake air temperature at which the total energy consumption becomes minimum by using a characteristic formula obtained by approximating the total energy consumption that is the sum of the energy consumption of the it equipments 303 a to p measured in the equipment energy consumption measurement step and the energy consumption of the air conditioners 301 a to d measured in the system energy consumption measurement step by a predetermined function formula with the intake air temperature measured in the intake air temperature measurement step as a variable ( for example , refer to steps s 36 and s 37 in fig6 ), and an air conditioning control value setting step for setting a control value of the air conditioning system so that the intake air temperature calculated in the intake air temperature calculation step is realized ( for example , refer to step s 38 in fig6 ). various processing ( for example , refer to fig6 or the like ) of the air conditioning control apparatus 200 described in the above embodiments can also be realized by causing a computer system such as a personal computer and a work station to execute a program prepared in advance . therefore , hereinafter , an example of a computer which executes an air conditioning program having the same function as that of the air conditioning control apparatus 200 described in the above embodiments will be described with reference to fig1 . fig1 is a diagram illustrating the computer which executes the air conditioning program . as illustrated in fig1 , the computer 300 is configured as the air conditioning control apparatus 200 by the input / output control section 310 , the hdd 320 , the ram 330 , and the cpu 340 which are connected to each other through the bus 400 . the input / output control section 310 controls input / output of various information . the hdd 320 stores information for various processing performed by the cpu 340 . the ram 330 temporarily stores various information . the cpu 340 performs various arithmetic processing . in the hdd 320 , as illustrated in fig1 , the air conditioning control program 321 and the air conditioning control data 322 which realize the same functions as those of the function sections of the air conditioning control apparatus 200 illustrated in fig1 are stored in advance . the air conditioning control program 321 can be appropriately distributed and stored in a storage section of another computer communicably connected through a network . when the cpu 340 reads the air conditioning control program 321 from the hdd 320 and develops the air conditioning control program 321 in the ram 330 , the air conditioning control program 321 functions as the air conditioning control process 331 as illustrated in fig1 . specifically , the air conditioning control process 331 reads the air conditioning control data 322 from the hdd 320 , develops the air conditioning control data 321 in an area assigned to the air conditioning control process 331 in the ram 330 , and performs various processing on the basis of the developed data . the air conditioning control process 331 corresponds to processing performed by the optimal it equipment intake air temperature calculation function section 220 in the air conditioning control apparatus 200 illustrated in fig1 and the optimal blowing temperature calculation function section 250 in the air conditioning control apparatus 200 illustrated in fig7 . the air conditioning control program 321 does not necessarily need to be stored in the hdd 320 from the beginning . for example , programs are stored in a “ portable physical medium ” such as a flexible disk ( fd ), a cd - rom , a dvd disk , a magneto - optical disk , or an ic card inserted in the computer 300 . the computer 300 may read the programs from the portable physical medium and execute the programs . further , programs are stored in “ another computer ( or computer )” connected to the computer 300 via a public line , the internet , lan , wan , or the like . the computer 300 may read the programs from the above computer or computer and execute the programs . all examples and conditional language recited herein are intended for pedagogical purposes to aid the reader in understanding the invention and the concepts contributed by the inventor to furthering the art , and are to be construed as being without limitation to such specifically recited examples and conditions , nor does the organization of such examples in the specification relate to a showing of the superiority and inferiority of the invention . although the embodiments of the present invention have been described in detail , it should be understood that the various changes , substitutions , and alterations could be made hereto without departing from the spirit and scope of the invention .