JP2019132457A - Control program, control method, and control device - Google Patents

Abstract

To realize stable air conditioning control.SOLUTION: A control program, when detecting a room temperature change due to changing of an air conditioning operation condition, refers to a storage unit 51 storing change information which indicates room temperature changes caused by changing the air conditioning condition to each of a plurality of change patterns on an association-with-pattern basis, and changes the change information indicating the room temperature change associated with an executed change pattern to the change information indicating the detected change. If the change indicated by the change information associated with any change pattern of the plurality of change patterns satisfies the condition, the program outputs an instruction for executing the air conditioning operation condition change due to the change pattern selected based on a result of the pattern execution.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a control program, a control method, and a control device.

  One of the factors that occupy most of the data center operating costs is air conditioning costs. In order to reduce the operation cost, in the data center, for example, air conditioning control for the purpose of reducing the electricity bill may be performed.

  As an example of such air conditioning control, optimization of air conditioning by techniques such as manual adjustment and consulting can be cited.

US Patent Publication No. 2015/0192316

  In the above-described air conditioning control, the accuracy of air conditioning optimization, the time required for the optimization, and the like depend on the adjustment frequency and human know-how, so that stable air conditioning control may not be realized.

  In the operation of the data center, air conditioning control is performed on the premise of conditions (for example, an upper limit temperature) determined by an SLA (Service Level Agreement) between the data center service provider and the data center user. It is. For example, when a person monitors the conditions decided by the SLA, there is a possibility that the compliance with the conditions may be hindered, and stable air conditioning control may not be realized.

  In one aspect, an object of the present invention is to realize stable air conditioning control.

  In one aspect, the control program may cause a computer to execute the following processing. When the process detects a change in the indoor temperature due to the change in the operating state of the air conditioning, the change information indicating the change in the indoor temperature due to changing the operating state of the air conditioning to each of a plurality of change patterns is changed. The change information indicating the change in the room temperature associated with the change pattern of the implemented change may be changed to the change information indicating the detected change with reference to the storage unit stored in association with the pattern. In addition, when the change indicated by the change information associated with any one of the plurality of change patterns satisfies a condition, the processing is performed based on the actual performance of the plurality of change patterns. You may output the instruction | indication which changes the driving | running state of the air conditioning by the selected change pattern.

  In one aspect, stable air conditioning control can be realized.

It is a block diagram which shows the structural example of the control system which concerns on one Embodiment. It is a figure which shows an example of the top view of the server room which concerns on one Embodiment. It is a figure which shows an example of an air-conditioner influence degree model. It is a figure which shows an example of the operating efficiency of an air conditioner. It is a figure which shows the example of calculation of a score. It is a figure which shows an example of the penalty imposed on a score. It is a figure which shows an example of an air-conditioning operation list | wrist. It is a figure which shows an example of the temperature prediction of a server room. It is a figure which shows an example of the temperature prediction after air-conditioning operation. It is a figure which shows an example of the score prediction after an air conditioning operation. It is a figure which shows an example of the power consumption of an air conditioner. It is a figure which shows an example of the score prediction after an air conditioning operation. It is a figure which shows an example of air-conditioning operation stop and completion | finish control. It is a figure which shows an example of air-conditioning operation stop and completion | finish control. It is a figure which shows an example of update control of an air conditioning machine influence degree model. It is a flowchart which shows the operation example of the air-conditioning control which concerns on one Embodiment. It is a flowchart which shows the operation example of the update process of the air conditioner influence degree model which concerns on one Embodiment. It is a figure which shows the hardware structural example of the computer which concerns on one Embodiment.

  Embodiments of the present invention will be described below with reference to the drawings. However, the embodiment described below is merely an example, and there is no intention to exclude various modifications and technical applications that are not explicitly described below. For example, the present embodiment can be implemented with various modifications without departing from the spirit of the present embodiment. Note that, in the drawings used in the following embodiments, portions denoted by the same reference numerals represent the same or similar portions unless otherwise specified.

[1] One Embodiment [1-1] Configuration Example of Control System FIG. 1 is a block diagram illustrating a configuration example of a control system 1 as an example of an embodiment. FIG. 2 is a plan view of a server room 2. An example is shown. The control system 1 may be a system that performs air conditioning control of the server room 2, for example.

  The server room (computer room) 2 is a space provided in a data center and in which a plurality of electronic devices such as servers are installed and operated. Examples of the data center include various data centers such as a facility type data center and a container type or modular type data center.

  As shown in FIG. 1, a plurality of racks 21, one or more distribution boards 22, and a plurality of air conditioners 23 may be installed in the server room 2 exemplarily.

  The rack 21 may carry one or more electronic devices. Examples of the electronic device include various devices such as a computer such as a server (for example, a rack mount server), a storage device, a communication device, and a power supply device.

  The distribution board 22 is a device that distributes power from the power supply (main power supply) of the server room 2 to each rack 21 and each air conditioner 23.

  The air conditioner 23 is a device that generates cooling air that cools the electronic device mounted on the rack 21 of the server room 2. The air conditioner 23 may include, for example, a sending unit such as a fan that sends outside air or cooled air (hereinafter, outside air or cooled air is referred to as “cold air”) into the server room 2. The air conditioner 23 may further include, for example, a cooling unit that takes in warmed air (warm air) in the server room 2 and cools it.

  As shown in FIG. 2, the air conditioner 23 may introduce air from the hot aisle 25 through, for example, a duct (not shown) and send cold air to the cold aisle 24.

  The cold aisle 24 and the hot aisle 25 are, for example, spaces (regions) partitioned by the rack 21 and the distribution board 22 (not shown) arranged side by side. In the example of FIG. 2, an electronic device (for example, a server) is mounted on the rack 21 with the front side for intake air facing the cold aisle 24 and the back side for exhausting the hot aisle 25 side. In this case, the server sucks the cooling air (cold air) from the cold aisle 24 and discharges the cooling air (hot air) that has passed through the server from the back on the hot aisle 25 side.

  As shown in FIG. 2, the server room 2 may be provided with a plurality of sensors 211.

  The sensor 211 detects information for estimating the degree of influence that the air conditioner 23 has on the server room 2. Examples of the sensor 211 include a temperature sensor that acquires the temperature of the intake and exhaust of the electronic device or the inside (for example, the processor 10a; see FIG. 18).

  For example, one or more sensors 211 may be provided in each of the plurality of racks 21. In the rack 21, the one or more sensors 211 may be provided at different positions of the rack 21 or at different electronic devices, such as the upper, middle, and lower stages of the rack 21. In the example of FIG. 2, for convenience, the sensor 211 is disposed in the horizontal direction with respect to the ground. However, as described above, each rack 21 may be disposed in the vertical direction with respect to the ground.

  Returning to the description of FIG. 1, the control system 1 may include, for example, a data collection unit 3, a data acquisition / control unit 4, and a model base control unit 5. For example, the data acquisition / control unit 4 may be connected to the terminal 7 via the network 6 so as to be able to communicate with each other.

  The network 6 may be at least one of the Internet and an intranet including, for example, a local area network (LAN), a wide area network (WAN), or a combination thereof. The network 6 may include a virtual network such as a VPN (Virtual Private Network). The network 6 may be formed by one or both of a wired network and a wireless network.

  At least one of the data collection unit 3, the data acquisition / control unit 4, and the model base control unit 5 is realized by a server mounted on the rack 21 or a server installed inside or outside the server room 2. Good. In addition, at least one of the data collection unit 3, the data acquisition / control unit 4, and the model base control unit 5 is a server or cloud service installed at another base via a network, for example, the network 6. May be realized by a server provided by.

  The data collection unit 3 collects information used for air conditioning control from the server room 2. As illustrated in FIG. 1, the data collection unit 3 may include, for example, a reception unit 31 and a collection unit 32.

  The receiving unit 31 receives the sensing result of the sensor 211 and the power supplied from the distribution board 22 to each air conditioner 23 (in other words, the power consumption of each air conditioner 23) via the communication line or the network. , And may be received from the sensor 211 or the distribution board 22. The receiving unit 31 may receive operating information of the air conditioner 23, for example, information on the rotation speed of the fan of the sending unit, from the air conditioner 23 via an API (Application Programming Interface) or the like.

  The collection unit 32 may collect the information received by the reception unit 31, process the collected information into a file such as a CSV (Comma-Separated Value) format, and output the information to the data acquisition / control unit 4. In the processing of information, for example, error inspection and data shaping may be performed.

  The data collection unit 3 synchronizes time with a time server (not shown), the data acquisition / control unit 4 and the model base control unit 5 in order to accurately record the reception time of the information by the reception unit 31. You may do it.

  The data acquisition / control unit 4 acquires information from the data collection unit 3, outputs information to the model base control unit 5, acquires air conditioning control instructions from the model base control unit 5, presents information to the terminal 7, and Air conditioning control of the air conditioner 23 according to the instruction from 7 may be performed.

  As shown in FIG. 1, the data acquisition / control unit 4 may include, for example, an acquisition unit 41, an output unit 42, and a UI (User Interface) module 43.

  The acquisition unit 41 may perform data shaping or the like on the information acquired from the data collection unit 3 and output the information to the model base control unit 5. The acquisition unit 41 may output information such as a control threshold acquired from the terminal 7 described later to the model base control unit 5. Further, the acquisition unit 41 may acquire an air conditioning control instruction from the model base control unit 5 and output it to the output unit 42.

  The output unit 42 may generate information to be presented to the terminal 7 based on the air conditioning control instruction acquired from the model base control unit 5, and output the generated information to the UI module 43. The information presented to the terminal 7 may include, for example, recommended setting information of the air conditioner 23 notified by the air conditioning control instruction, and information such as the temperature acquired by the acquisition unit 41.

  Further, when the output unit 42 receives the execution command of the air conditioning control from the UI module 43, the output unit 42 may execute the air conditioning control specified by the execution command via the API, for example, on the air conditioner 23. The air conditioning control may include, for example, control for changing settings such as the rotational speed of the fan.

  The UI module 43 may output the information generated by the output unit 42 to the terminal 7. Further, when the UI module 43 receives an execution command for air conditioning control from the terminal 7, the UI module 43 may output the execution command to the output unit 42. The UI module 43 may acquire control information related to air conditioning control, for example, information such as various control thresholds from the terminal 7.

  The terminal 7 is an example of a console that grants execution permission for setting change of the air conditioner 23 in the air conditioning control of the control system 1. For example, the operator may monitor the air conditioning state in the server room 2 based on the information received from the data acquisition / control unit 4 through the operation of the terminal 7. The operator may issue an execution command for air conditioning control of the air conditioner 23 based on the recommended air conditioning setting received from the data acquisition / control unit 4 through the operation of the terminal 7.

  The communication between the UI module 43 and the terminal 7 may be executed by a protocol according to, for example, HTTP (Hypertext Transfer Protocol) or HTTPS (HTTP Secure).

  In the air conditioning control, the terminal 7 may not give the execution permission. For example, the output unit 42 may perform air conditioning control of the air conditioner 23 based on the air conditioning control instruction from the model base control unit 5.

  The model base controller 5 creates and updates a model indicating the degree of influence of each air conditioner 23 in the server room 2 (hereinafter referred to as “air conditioner influence degree model”), and based on the air conditioner influence degree model, the air conditioner 23 air conditioning control instructions are issued. The air conditioner influence degree model indicates how the detected temperature of each sensor 211 changes when the air conditioning setting is changed from a certain operation rate to a certain operation rate for each air conditioner 23. This information is shown for each combination before and after the change.

  As shown in FIG. 1, the model base control unit 5 may include a memory unit 51, a control unit 52, a creation unit 53, and a log output unit 54, for example.

  The memory unit 51 is an example of a storage unit that stores various types of information used for processing of the model base control unit 5. Information stored in the memory unit 51 will be described later in the description of the function of the model base control unit 5. The memory unit 51 includes one of a memory, a volatile memory such as a RAM (Random Access Memory), and a storage unit such as a HDD (Hard Disk Drive) or an SSD (Solid State Drive). Both are mentioned. Each piece of information to be described later may be stored in one memory unit 51 or may be distributed and stored in a plurality of memory units 51.

  The control unit 52 issues an air conditioning control instruction to the data acquisition / control unit 4 based on the sensing results and various threshold values received from the data acquisition / control unit 4 and the model data 511 stored in the memory unit 51. .

  The creation unit 53 may create and update the model data 511 based on the sensing result received from the data acquisition / control unit 4. For example, the creation unit 53 performs air conditioning control of the air conditioner 23 in cooperation with the data acquisition / control unit 4 and creates and updates the model data 511 based on a sensing result after the air conditioning control is performed. It's okay.

  The model data 511 is data including an air conditioner influence degree model for each air conditioner 23 defined (set) by the creation unit 53. The model data 511 may be managed as various types of data such as files in CSV format, arrays, databases, and the like.

  The log output unit 54 may store a recommended record of air conditioning control notified by the control unit 52 to the data acquisition / control unit 4 as an air conditioning control instruction in the memory unit 51 as a log 512. In the log 512, for example, information for specifying a model recommended (selected) in the air conditioner influence degree model, information on an issuance time of the air conditioning control instruction (or execution time of the air conditioning control), and the like may be set. . In addition, the control part 52 may preserve | save and manage the information of the air conditioning settings (for example, an operating rate etc.) of each air conditioner 23 in the memory part 51 separately from the log 512. FIG.

[1-2] Description of Model Base Control Unit Next, details of the model base control unit 5 will be described. In the following, description will be made in the order of creation of an air conditioner influence degree model, air conditioning control using the air conditioner influence degree model, and update of the air conditioner influence degree model.

[1-2-1] Creation of Air Conditioner Influence Model First, an example of a process for creating an air conditioner influence model by the creation unit 53 will be described with reference to FIG. In the following description, the air conditioner 23 illustrated in FIG. 2 may be denoted as air conditioners A to D, and the sensor 211 may be denoted as sensors (1) to (10). In addition, code | symbol AD may be handled as an identifier (ID; Identifier) of the air conditioning machine 23, and code | symbol (1)-(10) may be handled as an identifier (ID) of the sensor 211. FIG.

(Measurement of air conditioner impact)
The creation unit 53 affects how much each of the air conditioners A to D arranged in the server room 2 as illustrated in FIG. 2 affects the sensors (1) to (10). The air conditioner influence degree model may be acquired by measuring whether or not through air conditioning control.

  For example, the creation unit 53 makes the air conditioning setting of any one of the air conditioners A to D variable, fixes the air conditioning settings of the remaining air conditioners 23, and then fixes any one of the air conditioners 23. You may measure the temperature change of each sensor (1)-(10) by changing the air-conditioning setting.

  The creation unit 53 associates the change content of the air conditioning setting with the measured temperature change of each of the sensors (1) to (10), so that the model data 511 is used as the air conditioner influence degree model of any one of the air conditioners 23. May be created.

  Moreover, the preparation part 53 switches the air conditioner 23 which makes an air-conditioning setting variable to the other air conditioner 23 among air conditioners AD, repeats said measurement, and air conditioner about all the air conditioners 23 is carried out. An impact model may be obtained.

  Hereinafter, an example of a procedure for creating an air conditioner influence model by the creation unit 53 will be described. Hereinafter, for the sake of simplicity, it is assumed that the operation subject is the creation unit 53. However, actually, the creation unit 53 may cause the data acquisition / control unit 4 to execute air conditioning control, and the temperature information is measured by the sensor 211 and passes through the data collection unit 3 and the data acquisition / control unit 4. And may be input to the creation unit 53.

  As an initial state, it is assumed that the air conditioners A to D are operating with a capacity of 50%. The capacity of the air conditioner 23 may be determined by, for example, the rotational speed of the fan, the cooling temperature of the air, or a combination thereof. In one embodiment, it is assumed that the capacity (cooling capacity) of the air conditioner 23 is changed by adjusting the rotational speed of the fan.

  (I) The creation unit 53 records the sensor temperatures and measurement times of the sensors (1) to (10). The sensor temperature at this time is “temperature (1)”, and the measurement time is “time (1)”.

  (Ii) The creation unit 53 strengthens the air conditioning setting of the air conditioner A (for example, operates at 100%).

  (Iii) The creation unit 53 waits until the temperature in the floor of the server room 2 has settled, and records the time taken to settle (“time (2)”).

  (Iv) The creation unit 53 records the sensor temperatures of the sensors (1) to (10). The sensor temperature at this time is “temperature (2)”.

  (V) The preparation unit 53 weakens the air conditioning setting of the air conditioner A (for example, operates with 50% capacity; in other words, returns to the initial state).

  (Vi) The creation unit 53 waits until the temperature in the floor of the server room 2 has settled, and records the time taken to settle (“time (3)”).

  (Vii) The creation unit 53 records the sensor temperatures of the sensors (1) to (10). The sensor temperature at this time is “temperature (3)”.

  (Viii) The creation unit 53 weakens the air conditioning setting of the air conditioner A (for example, operates at 0%, in other words, stops).

  (Ix) The creation unit 53 waits until the temperature in the floor of the server room 2 has settled, and records the time taken to settle (“time (4)”).

  (X) The creation unit 53 records the sensor temperatures of the sensors (1) to (10). The sensor temperature at this time is “temperature (4)”.

  (Xi) The creation unit 53 strengthens the air conditioning setting of the air conditioner A (for example, operates with 50% capacity; in other words, returns to the initial state).

  (Xii) The creation unit 53 waits until the temperature in the floor of the server room 2 has settled, and records the time taken to settle (“time (5)”).

  (Xiii) The creation unit 53 records the sensor temperatures of the sensors (1) to (10). The sensor temperature at this time is “temperature (5)”.

  (Xiv) The creation unit 53 performs the processes (i) to (xiii) for each of the air conditioners B to D.

(Calculation of air conditioner impact model)
The creation unit 53 calculates the difference (temperature difference) between the temperature (1) and the temperature (2) obtained as described above, thereby increasing the air conditioning setting of the air conditioner A in (ii) (50% (→ 100%) The degree of influence on each sensor (1) to (10) may be acquired. An example of the temperature difference in each sensor ID is shown below.

<Temperature change for each sensor when the air conditioning setting of air conditioner A is changed from 50% to 100%>
Sensor ID: Temperature difference ⇒ (1): -1 ° C, (2): -2 ° C, ..., (10): + 0.5 ° C

  Further, the creation unit 53 calculates the difference (temperature difference) between the temperature (2) and the temperature (3) obtained as described above, thereby reducing the air conditioning setting of the air conditioner A in (v) ( The degree of influence on each sensor (1) to (10) (100% → 50%) may be acquired. An example of the temperature difference in each sensor ID is shown below.

<Temperature change for each sensor when the air conditioning setting of air conditioner A is changed from 100% to 50%>
Sensor ID: Temperature difference ⇒ (1): + 1 ° C, (2): + 2 ° C, ..., (10): -0.5 ° C

  Further, the creation unit 53 calculates the difference (temperature difference) between the temperature (3) and the temperature (4) obtained as described above, thereby reducing the air conditioning setting of the air conditioner A in (viii) ( The degree of influence on each sensor (1) to (10) from 50% to 0% may be acquired. An example of the temperature difference in each sensor ID is shown below.

<Temperature change for each sensor when the air conditioning setting of air conditioner A is changed from 50% to 0%>
Sensor ID: Temperature difference ⇒ (1): + 1 ° C, (2): + 2 ° C, ..., (10): -0.5 ° C

  In addition, the creation unit 53 calculates the difference (temperature difference) between the temperature (4) and the temperature (5) obtained as described above, thereby strengthening the air conditioning setting of the air conditioner A in (xi) ( The degree of influence on each sensor (1) to (10) from 0% to 50% may be acquired. An example of the temperature difference in each sensor ID is shown below.

<Temperature change for each sensor when the air conditioning setting of air conditioner A is changed from 0% to 50%>
Sensor ID: Temperature difference ⇒ (1): -1 ° C, (2): -2 ° C, ..., (10): + 0.5 ° C

  The information acquired as described above may be set in the model data 511 as an air conditioner influence model as shown in FIG.

  For example, as illustrated in FIG. 3, in the air conditioner influence degree model, items of an air conditioner ID, an air conditioner operation control, and an air conditioner influence degree may be set.

  The air conditioner operation control is information indicating the content of the change in the air condition operation state, and is an example of a change pattern. In the air conditioner operation control, for example, information that can specify how many percent of the air conditioning setting is changed may be set.

  The air conditioner influence degree is an example of change information indicating a change in room temperature caused by changing the operation state of the air conditioner to each of a plurality of change patterns. The air conditioner influence degree may include sensor ID and temperature change information.

  As described above, the memory unit 51 is an example of a storage unit that stores change information indicating changes in room temperature by changing the operation state of the air conditioning to each of a plurality of change patterns in association with the contents of the change patterns. is there.

  In the air conditioner influence degree model, a time stamp of the update date and time may be set for each air conditioner operation control.

(Determination of the floor temperature is calm)
In addition, the state where the floor temperature in the above (iii), (vi), (ix), and (xii) is settled may be determined by the following method.

  First, the creation unit 53 measures and records the temperature (“temperature (a)”) of each sensor (1) to (10). It is assumed that the measured temperatures of the sensors (1) to (10) are a1, a2, a3,.

  Next, the creation unit 53 waits for a predetermined time, for example, several minutes, and again measures and records the temperature (“temperature (b)”) of each sensor (1) to (10). It is assumed that the measured temperatures of the sensors (1) to (10) are b1, b2, b3,.

  The creation unit 53 compares the temperature (b) of each sensor 211 with the temperature (a) of the same sensor 211 measured immediately before, and acquires the total Tt of temperature changes according to the following equation (1).

    A1-b1 | + | a2-b2 | + ... + | a10-b10 | (1)

  The creation unit 53 determines whether or not the total Tt of temperature changes is smaller than a certain value. If the total Tt is smaller than the certain value, it determines that the temperature in the floor has settled and ends the process. On the other hand, if the total sum Tt is equal to or greater than a certain value, the creation unit 53 repeats the above processing.

(Complementation of air conditioner impact model)
In the example of FIG. 3, the change content of the air conditioner operation control is in increments of 50%. The creation unit 53 may further subdivide these changes, and for example, estimate the degree of influence on the sensor 211 when the air conditioner 23 is operated based on the change for each intermediate value (25%). Examples of the estimation method include at least one of the following methods (1a) and (1b).

(1a) Method to Infer from Air Conditioning Operation Change Rate (%) For example, when the operating unit A changes the operation rate of the air conditioner A from 50% to 75%, the method of calculating the air conditioner influence degree model described above Multiply the difference (temperature difference) between the temperature (1) and the temperature (2) measured in step 1 by the operation change rate of the air conditioner 23. Thereby, the preparation part 53 can estimate the influence degree to each sensor (1)-(10) at the time of strengthening the air-conditioning setting of the air conditioner A. FIG.

  For example, it is assumed that the actual measurement value of the operation change rate 50% (50% → 100%) of the air conditioner A is as follows.

    Sensor ID: Temperature difference ⇒ (1): -1 ° C, (2): -2 ° C, ..., (10): + 0.5 ° C

  In this case, the ratio of the degree of influence when changing the air conditioning setting (for example, operation rate) of the air conditioner A from 50% to 75% is as follows.

Ratio: (50% ⇒75% operation change rate) ÷ (50% ⇒100% operation change rate)
= (75-50) / (100-50) = 0.5

  Therefore, the estimated value of the operation change rate 25% (50% ⇒75%) of the air conditioner A is the above ratio with respect to the temperature difference of the sensors (1) to (10) when the operation change rate is 50%. By multiplying, it is obtained as follows.

<Estimation of temperature change for each sensor when the air conditioning setting of air conditioner A is changed from 50% to 75%>
Sensor ID: Temperature difference ⇒ (1): -0.5 ° C, (2): -1 ° C, ..., (10): + 0.25 ° C

  As described above, the air conditioner influence degree model can be easily complemented by the linear approximation method.

(1b) Method to Infer from Air Conditioning Operation Efficiency Graph FIG. 4 is a diagram showing an example of the operation efficiency of the air conditioner 23. FIG. 4A shows the operation efficiency of the air conditioner 23 on the vertical axis and the air conditioner on the horizontal axis. FIG. 4B is an example of a table showing the operation efficiency for each output of 25%.

  The operating efficiency of the air conditioner 23 is obtained by multiplying the output of the air conditioner 23 by the air flow rate (movement amount) of the air conditioner 23 and the difference value of the temperature change caused by the air delivery, and the power consumption of the air conditioner 23. Is an example of an index indicating the relationship between The operating efficiency of the air conditioner 23 is often published as catalog specifications (nominal values, specifications, etc.) by the manufacturer of the air conditioner 23, for example. For this reason, in the following description, the preparation part 53 shall memorize | store and refer to the driving efficiency which a manufacturer etc. announce. In addition, as the operating efficiency of the air conditioner 23, information measured and calculated in advance in the control system 1 may be used.

  As illustrated in FIG. 4, when the air conditioning setting of the air conditioner A is changed from 50% to 75%, the change amount of the operation efficiency is 55−40 = 15. Further, when the air conditioning setting of the air conditioner A is changed from 50% to 100%, the change amount of the operation efficiency is 65−40 = 25.

  For example, it is assumed that the actual measurement value of the operation change rate 50% (50% → 100%) of the air conditioner A is as follows.

    Sensor ID: Temperature difference ⇒ (1): -1 ° C, (2): -2 ° C, ..., (10): + 0.5 ° C

In this case, the ratio of the degree of influence when the air conditioning setting of the air conditioner A is changed from 50% to 75% is as follows based on the amount of change in operating efficiency.
Ratio: (50% → 75% change in operating efficiency) ÷ (50% → 100% change in operating efficiency) = 15 ÷ 25 = 0.6

  Therefore, the estimated value of the operation change rate 25% (50% ⇒75%) of the air conditioner A is the above ratio with respect to the temperature difference of the sensors (1) to (10) when the operation change rate is 50%. By multiplying, it is obtained as follows.

<Estimation of temperature change for each sensor when the air conditioning setting of air conditioner A is changed from 50% to 75%>
Sensor ID: Temperature difference ⇒ (1): -0.6 ° C, (2): -1.2 ° C, ..., (10): + 0.3 ° C

  With such a method, the air conditioner influence degree model can be complemented more accurately based on the performance (characteristics) of the air conditioner 23.

(High-precision air conditioner impact model)
In the above-described method of calculating the air conditioner influence degree model, the method of creating the air conditioner influence degree model by the procedures (i) to (xiv) has been described. However, in an actual data center, since the server workload in the server room 2 changes with time, it is difficult to create a highly accurate air conditioner influence degree model by one trial.

  In addition, since it may take several hours to several tens of hours to create the air conditioner influence degree model, it is difficult to create the air conditioner influence degree model many times.

  Therefore, the creation unit 53 may create the air conditioner influence model with high accuracy by at least one of the following methods (2a) and (2b).

(2a) A method of measuring the air conditioner influence degree over a plurality of times, and taking the average of these, and improving the accuracy of the air conditioner influence degree model. For example, the creation unit 53 is in a state where time, weather, etc. vary. The procedure (i) to (xiv) in the method of calculating the air conditioner influence degree model is performed n times (under various conditions) n (n is an integer of 2 or more) times. And the preparation part 53 is good also as the highly accurate air conditioner influence degree model as follows by averaging the temperature change recorded n times as follows.

Sensor ID: (1) High-precision air conditioner influence: ((1) 1 + (1) 2 + ... + (1) n) / n
Sensor ID: (2) High-precision air conditioner influence: ((2) 1 + (2) 2 + ... + (2) n) / n
...
Sensor ID: (10) High-precision air conditioner influence: ((10) 1 + (10) 2 + ... + (10) n) / n
Note that (x) y represents a temperature change measured at the yth time of the sensor ID (x).

(2b) Method of recreating only unnatural (correct or suspicious) measurement results from the air conditioner influence degree measured at one time In the method (2a) above, the air conditioner influence degree is measured n times. Therefore, it takes time to create the air conditioner impact model. Therefore, in the method (2b), a highly accurate air conditioner influence degree model can be created in a short time by performing the minimum remeasurement on the air conditioner influence degree measured once by the following method. .

  For example, the creation unit 53 measures the air conditioner influence degree once, and only the suspicious data (data that can be determined that the server workload has changed and the environmental temperature has changed) is measured again. You may measure and correct the air conditioner influence.

  First, the creation unit 53 performs the procedures (i) to (xiv) once in the method of calculating the air conditioner influence degree model. Among the measurement results, the floor temperature should be the same at temperatures (1), (3), and (5) at which the operating rate (air conditioning setting) of the air conditioner 23 is the same (50%).

  Therefore, the creation unit 53 compares the sensor temperatures of the same sensor ID at the temperatures (1), (3), and (5). If the difference in sensor temperature in each case is larger than the threshold value, the creation unit 53 determines that an incorrect air conditioner influence degree model has been created because the environmental temperature has changed, and repeats the procedure for correcting the model again. Execute and recreate the air conditioner impact model. For example, when the difference in the sensor temperature at the temperature (3) is larger than the threshold value, the creation unit 53 may re-execute a plurality of procedures including the measurement of the temperature (3) in the procedure (vii).

[1-2-2] Air-conditioning control The control unit 52 determines whether or not the inside of the server room 2 is based on the sensing result from the data acquisition / control unit 4 and the air-conditioner influence degree model created by the creation unit 53 as described above. Execute air conditioning control.

(Server room temperature scoring)
Even if the temperatures of all the temperature sensors 211 in the server room 2 can be observed, it is difficult to determine how good or bad the server room 2 is from the temperature list of the sensing results.

  Therefore, the control unit 52 can determine whether the floor temperature state is good or bad by obtaining a score from the sensing result. Hereinafter, an example of an air-conditioning control procedure by the control unit 52 will be described with reference to FIG.

  In the following description, for the sake of simplicity, it is assumed that the operation subject is the control unit 52. However, in actuality, the data acquisition / control unit 4 may control the air conditioner 23 according to an instruction from the control unit 52, and the temperature information measured by the sensor 211 is the temperature information measured by the sensor 211. The information may be input to the control unit 52 via the acquisition / control unit 4.

  First, the control unit 52 measures and records the temperature (“temperature (a)”) of each sensor (1) to (10). It is assumed that the measured temperatures of the sensors (1) to (10) are a1, a2, a3,.

  Further, the control unit 52 sets a sensor target temperature t (for example, 26 ° C.) of the server room 2. Note that power saving can be achieved by setting the sensor target temperature t to a value higher than, for example, the current average temperature (a1 + a2 +... + A10) / 10. This is because the higher the average temperature in the server room 2, the more the air conditioner 23 can be operated with less power.

  The control unit 52 compares the sensor target temperature t with the temperature of each sensor 211, and acquires the score S of the entire server room 2 according to the following equation (2).

  T-a1 | + | t-a2 | + ... + | t-a10 | (2)

  As described above, the score S can be acquired by obtaining the sum of the deviation between the sensor target temperature t and the temperature of each sensor 211.

  It can be said that the smaller the value of the score S, the more uniform the temperature in the server room 2 and the power saving. For example, when all the sensor temperatures are 26 ° C., the value of S becomes 0 and becomes the minimum. In this case, the temperature in the server room 2 is uniform and equal to the sensor target temperature t.

  The control unit 52 may use a normalized score S ′ shown in the following formula (3) by dividing by the number of sensors 211 in the server room 2 instead of the score S. By using the score S ′, for example, when the control unit 52 performs air-conditioning control over a plurality of server rooms 2 in which the number of installed sensors 211 is different from each other, an index common to the server rooms 2 can be obtained. Can be used.

  S ’= S / 10 (3)

(Add penalty to score)
The floor temperature may be required to be kept below a certain temperature due to the use conditions of the SLA and server equipment.

  Therefore, the control unit 52 may add a sufficiently large value to the score S as a penalty when the temperature a is equal to or higher than the threshold value x. Hereinafter, the penalty imposed on the score S will be described with reference to FIG.

  For example, the control unit 52 may set the temperature upper limit threshold x (for example, 28 ° C.) of the server room 2 in the calculation of the score S.

  Then, when calculating the score S described above, the control unit 52 is sufficient for the score S when the temperature a of at least one sensor 211 is higher than the temperature upper limit threshold x as illustrated in FIG. A large number may be added as a penalty. The penalty value may be a sufficiently large number (“100000” in the example of FIG. 6) that the air conditioning setting is not adopted.

(Create air conditioning operation list)
In the server room 2 illustrated in FIG. 2, the air conditioners A to D are each operating at a capacity of 50%, and the set values that these air conditioners 23 can take are 0%, 25%, 50%, and 75%. , 100%, 5 stages.

  At this time, there are 16 operations that can be performed by changing only one of the air conditioning settings of the air conditioners A to D as shown in FIG. Hereinafter, a list of operations that can be performed on the air conditioner 23 will be referred to as an air conditioning operation list. When performing the air conditioning control, the control unit 52 may create an air conditioning operation list as illustrated in FIG. 7 based on the current air conditioning setting.

(Temperature prediction for air conditioning operation)
The control unit 52 performs temperature prediction when each air conditioning operation described in the air conditioning operation list is performed based on the created air conditioning operation list and the air conditioner influence degree model.

  Here, the temperature prediction of the server room 2 may be executed as follows. For example, as shown in FIG. 8, each operation of the server room 2 after the operating state of the air conditioner A is changed from the current state (x) to a certain state (y) and the temperature in the server room 2 is settled. The predicted value of the sensor temperature can be obtained by the following method.

  First, the control unit 52 measures the current temperature of each sensor 211. An example of the measured temperature (actual measurement) is shown below.

    Current temperature (actual measurement): (1): 20 ° C, (2): 21 ° C, ..., (10): 22 ° C

  Subsequently, the control part 52 calculates | requires change temperature using the air conditioner influence degree model which the preparation part 53 measured or supplemented. For example, it is assumed that the change temperature when the air conditioning setting of the air conditioner A is changed from x to y is obtained from the air conditioner influence model as follows.

    Change temperature: (1): -0.5 ° C, (2): -0.3 ° C, ..., (10): + 0.2 ° C

  The control part 52 calculates | requires the sum of the current temperature of each sensor 211, and change temperature as follows.

    Predicted temperature: (1); 19.5 ° C, (2): 20.7 ° C, ..., (10) 22.2 ° C

  With the above method, the control unit 52 can perform temperature prediction in the server room 2 by changing the air conditioning setting of the air conditioner 23.

  FIG. 9 illustrates the result of the temperature prediction after the air conditioning operation by the air conditioning operation list of FIG. 7 based on such a temperature prediction method. As illustrated in FIG. 9, the control unit 52 may acquire the actually measured temperature in the initial state and the predicted temperature of the air conditioning operation that each of the air conditioners A to D can take.

(Score prediction for air conditioning operation)
Next, the control unit 52 performs score prediction for each operation from the predicted floor temperature. An example of the score prediction result based on the temperature prediction result shown in FIG. 9 is shown in FIG.

  The score prediction illustrated in FIG. 10 may be performed by the method described with reference to FIGS. 5 and 6. As illustrated in FIG. 10, the control unit 52 may acquire an actual measurement score based on the measured temperature in the initial state and a predicted score based on the predicted temperature of the air conditioning operation that each of the air conditioners A to D can take. .

(Prediction of optimal air conditioning operation)
Then, the control unit 52 selects an optimal air conditioning operation based on the predicted score S for each air conditioning operation.

  The optimum air conditioning operation is when the predicted score S is smaller than the actual measured score S (initial state) and the predicted score is the smallest. Therefore, the optimum air conditioning operation in the example of FIG. 10 is a case where the air conditioner A, which is smaller than the actual measurement score: 30 and has the smallest prediction score: 15 among the prediction scores, is changed to 0%.

(Score correction)
The power consumption of the air conditioner 23 often varies depending on the operation rate. Therefore, even if the air conditioning operation is optimal from the viewpoint of score, it may not be optimal from the viewpoint of power consumption. Therefore, the control unit 52 may correct the score based on the power consumption of the air conditioner 23.

  FIG. 11 is a diagram illustrating an example of power consumption of the air conditioner 23. FIG. 11A is a power consumption graph in which the vertical axis indicates the power consumption of the air conditioner 23 and the horizontal axis indicates the output (%) of the air conditioner 23. FIG. 11B is an example of a table representing power consumption for every 25% output.

  The control unit 52 changes the operation state of the air conditioner 23 from the current state (x) to a certain state (y) and the power consumption of the air conditioner 23 after the floor temperature has settled is illustrated in FIG. It can be obtained from power information or information supplemented with this information.

  The power consumption at each operation rate (output) of the air conditioner 23 may be measured in advance or may be stored as information based on catalog specifications.

  From the graph of the power characteristics of the air conditioner 23 illustrated in FIG. 11A, it can be read that the energy efficiency of the air conditioner 23 decreases as the operating rate increases.

  Therefore, the control unit 52 may perform score correction such that the energy efficiency value is combined with the predicted score, and the value of the portion with better energy efficiency becomes lower.

  For example, as shown in FIG. 12, it is assumed that there is an operation state in an initial state (A, B, C, D) = (25%, 25%, 50%, 100%) and an actual measurement score is 30. In this case, in the simple score calculation, the following four recommendations are output from the control unit 52 to the data acquisition / control unit 4, for example, the air conditioning operation of setting the air conditioner A: 25% to 0% is data acquisition. -It may be executed by the control unit 4.

  However, referring to FIG. 11B, the power consumption reduction amount by switching the output of the air conditioner 23 from 25% to 0% is 2 kW, whereas the output of the air conditioner 23 is 100% to 75%. The amount of reduction in power consumption by switching to is 6 kW. For this reason, when the power consumption of the air conditioner 23 shown in FIG. 11 is considered, the energy efficiency is better when the air conditioning operation of the air conditioner D: 100% → 75% is performed than the air conditioning operation of the air conditioner A. .

  Therefore, for example, the control unit 52 performs score correction on the calculated score S by combining (amount of change in operating state) / (amount of change in power consumption) as a correction value, thereby achieving air conditioning with high energy efficiency. The score can be corrected to recommend an operation.

  For example, as shown in FIG. 12, four air conditioning operations (score: 15) recommended by simple score calculation are corrected as follows.

(A, B, C, D) = (0%, 25%, 50%, 100%): Predictive score = 15 × ((0.25) ÷ (2-0)) = 1.875
(A, B, C, D) = (25%, 0%, 50%, 100%): Predictive score = 15 × ((0.25) ÷ (5-2)) = 1.25
(A, B, C, D) = (25%, 25%, 25%, 100%): Predictive score = 15 × ((0.25) ÷ (9-5)) = 0.9375
(A, B, C, D) = (25%, 25%, 50%, 75%): Predictive score = 15 × ((0.25) ÷ (15-9)) = 0.625

  As described above, the air conditioning operation of the air conditioner D: 100% → 75% is more corrected than the air conditioning operation of the air conditioner A: 25% → 50% and the air conditioning operations of the air conditioners B and C. Therefore, the control unit 52 can recommend an air-conditioning operation with good energy efficiency.

(Execution of air conditioning operation)
The control unit 52 executes an optimal air conditioning operation in cooperation with the data acquisition / control unit 4 according to the air conditioning operation selected by the above-described method. As an execution method of the air conditioning operation, for example, one of the following methods (3a) and (3b) may be mentioned.

(3a) Method of operating air conditioners one by one The control unit 52 operates one air conditioner 23 and waits until the floor temperature has settled. Then, when the floor temperature has settled, the control unit 52 calculates the optimal air conditioning operation again and executes the operation of the air conditioner 23.

  For example, the control unit 52 operates the air conditioner 23 one by one to repeatedly perform the air conditioning operation using the measured temperature in a state where the floor temperature is settled as a reference for the next air conditioning operation.

  As a result, even if there is a slight deviation between the air conditioner influence model and the actual environment of the server room 2, the deviation is accumulated only once by operating the air conditioners 23 one by one. Therefore, it is possible to avoid a large shift. In other words, it is possible to make it difficult for a sudden temperature change in the server room 2 to occur.

(3b) Method of operating a plurality of air conditioners in parallel (at the same timing) The control unit 52 performs air conditioning operations on the plurality of air conditioners 23 in parallel (at the same timing). Also good.

  For example, when one air conditioning setting recommended by score prediction is selected, the control unit 52 predicts the temperature and score after the air conditioning operation according to the air conditioning setting, and the prediction result is the measured temperature and the actual temperature when the air conditioning setting is performed. Assume an actual score. And the control part 52 performs the score prediction of the air-conditioning operation of the air conditioner 23 by making the assumed measured temperature and measured score into an initial state.

  As described above, stepwise score prediction is executed a plurality of times, and air conditioning operations for a plurality of air conditioners 23 can be recommended. Therefore, when a plurality of air conditioners 23 can be operated at a time and the air conditioners 23 are operated one by one. In comparison, the time until all operations are completed can be shortened.

Further, by performing stepwise score prediction, the score prediction count is not a power (16 ^N ) of the number of air conditioning operations (N; N is an integer of 2 or more) with respect to the number of patterns (for example, 16) in the air conditioning operation list. , Multiplication (16 × N). Therefore, it is possible to reduce the load on the processor of the model base control unit 5 and the like, compared with the case of performing score prediction when operating a plurality of air conditioners 23 at a time.

  The number or conditions of the air conditioners 23 to be operated in parallel may be specified from the terminal 7 or the like, or may be set in the control unit 52 in advance. The condition may be, for example, a score target threshold. Thereby, since the number of the air conditioners 23 operated in parallel can be limited, it is possible to reduce an increase in the accumulation of misalignment between the air conditioner influence model and the actual environment of the server room 2.

  When the control unit 52 performs the above processing and determines that the score prediction has sufficiently converged, the controller 52 operates the air conditioner 23 so that the air conditioning setting state when it has converged is obtained.

(Execution trigger for the next air conditioning operation)
In the method (3a) or (3b) described above, the next air conditioning operation by the control unit 52 may be executed at the timing when the floor temperature becomes calm after the previous change in the air conditioning operation. The state where the floor temperature is calm may be determined by the above-described method for determining the state where the floor temperature is calm. Or control part 52 may wait for progress of time until floor temperature settles illustrated below.

(Time to settle floor temperature)
For example, the control unit 52 calculates the following times using the times (1) to (5) recorded by the creation unit 53 in the method of creating the air conditioner influence degree model, and averages the calculated times. Alternatively, a time sufficiently longer than the maximum value may be determined as a time until the floor temperature settles.

Time (2)-Time (1)
Time (3)-Time (2)
Time (4)-Time (3)
Time (5)-Time (4)

(Cancellation / termination of air conditioning operation)
When the air conditioning operation is performed based on the magnitude of the predicted score, a “rambling” state may occur due to the air conditioner 23 being repeatedly turned on and off.

  In order to avoid falling into such a state, for example, a score threshold Y may be provided for each server room 2.

  As an example, as illustrated in FIG. 13, when the absolute value of the difference between the predicted score and the actual measurement score is smaller than the threshold Y, the control unit 52 may stop or end the air conditioning operation. The cancellation of the air conditioning operation may be applied to both cases of operating the air conditioners 23 one by one and operating in parallel with a plurality of units.

  In the case where a plurality of air conditioners 23 are operated in parallel, the above-described determination of the end of the air conditioning operation may be used as a determination that the score prediction has sufficiently converged. That is, when the absolute value of the difference between the predicted score and the actual measurement score is smaller than the threshold Y, the control unit 52 ends the selection of the air conditioning setting for performing the air conditioning operation in parallel, and Air conditioning settings may be performed.

  For example, as shown in FIG. 14, it is assumed that the score threshold Y = 13 and the actual measurement score is 30 in the initial state. In this case, the difference between the predicted score and the measured score among the air conditioners A: 50% → 0% (predicted score: 15), 50% → 25% (predicted score: 20), which has a predicted score smaller than the measured score. If the absolute value of 10 is 50% ⇒25%, the air conditioning operation will be canceled / terminated. That is, since the absolute value 10 of the difference is smaller than the score threshold Y = 13, the control unit 52 determines that this air conditioning operation is not executed.

  On the other hand, 50% => 0% where the absolute value of the difference between the predicted score and the actual measurement score is 15 can be selected as a recommendation for the air conditioning operation because the absolute value of the difference is larger than the score threshold Y = 13. That is, it can be determined by the control unit 52 to execute this air conditioning operation.

[1-2-3] Update of Air Conditioner Influence Model Next, the update process of the air conditioner influence model by the creation unit 53 will be described.

(Update of air conditioner impact model)
In an actual data center, server arrangement and server workload in the server room 2 may change over time (for example, monthly).

  For this reason, if the created air conditioner influence model is continuously used, the model may not be compatible with the environment in the actual server room 2. Therefore, the creation unit 53 can cope with such a change in the environment in the server room 2 by any one of the following (4a) and (4b) or a combination thereof.

  Examples of environmental changes include, for example, changes in the number of servers due to addition or removal of servers, changes in server types due to server replacement, changes in server load due to server operating conditions, etc. It is done.

(4a) Method of measuring air-conditioning degree influence degree again When the server arrangement or server workload in the server room 2 changes, the creation unit 53 recreates the air-conditioner influence degree model.

  For example, the preparation part 53 should just perform procedure (i)-(xiv) in the preparation method of said air conditioning machine influence degree model again.

  Note that changes in server placement and server workload may be notified from the terminal 7, for example, or detected by monitoring the servers installed in the server room 2 by the model base control unit 5 or other management servers. May be.

  (4b) A method of recalculating the air conditioner influence model when daily air conditioner operation changes are made.

  The creation unit 53 updates the air conditioner influence degree model when the control unit 52 changes the operation of the air conditioner 23.

  In the control system 1, as described above, the air conditioning operation change following the temperature in the server room 2 is performed in accordance with daily server workload, outdoor temperature change, and the like.

  The creation unit 53 acquires the temperature state (t1) before the operation change when the air conditioning operation is changed, and acquires the temperature state (t2) while the floor temperature is settled after the air conditioning operation is changed. Then, the creation unit 53 may update the air conditioner influence degree model using the temperature states (t1) and (t2) acquired before and after the air conditioning operation change.

  For example, the creation unit 53 calculates the difference (temperature difference) between the temperature state (t1) and the temperature state (t2) in the same manner as the calculation method of the air conditioner influence degree model, so that each sensor ( The degree of influence on 1) to (10) may be acquired.

  As described above, the creation unit 53 updates the air conditioner influence degree model for the entry related to the operation content of the air conditioner operation in the air conditioner influence degree model. Thereby, compared with the case where the whole air conditioner influence degree model is produced again, the creation time of an air conditioner influence degree can be shortened.

  In other words, when the creation unit 53 detects a change in the room temperature due to the change in the operating state of the air conditioning, the creation unit 53 refers to the memory unit 51 and changes the room temperature associated with the change pattern of the change performed. It is an example of the change part which changes the change information which shows a change into the change information which shows the detected change.

(Method for updating air conditioner impact model)
The creation unit 53 may update the air conditioner influence degree model by any one of the following methods (5a) and (5b).

(5a) Complete update For example, the creation unit 53 deletes all or part of the air conditioner influence degree model created in the past, and overwrites the air conditioner influence degree model acquired in (4a) or (4b) above.

(5b) Update in consideration of past influence level For example, the creation unit 53 updates the air conditioner influence degree model by using one of the following methods (5b1) and (5b2) in consideration of the past influence degree. To do.

(5b1) Update with past average The preparation unit 53 updates the air conditioner influence degree model by combining the previously created air conditioner influence degree model with the newly acquired air conditioner influence degree model and obtaining the average. It's okay.

(5b2) Update with weighted average The creation unit 53 updates the air conditioner impact degree model by combining the previously created air conditioner impact degree model with the newly acquired air conditioner impact degree model and obtaining the weighted average. It's okay.

  By weighting the new air conditioner impact model with the weighted average, even if the number of updates of the air conditioner impact model increases, the new air conditioner impact model becomes more weighted. Can respond to changes.

  In addition, in the update processing of the air conditioner influence degree model described above, the creation unit 53 adds the contents such as the sensor ID, the temperature change, and the update date and time to the model portion of the air conditioner influence degree model to be updated. You may update to Alternatively, the creation unit 53 may save the past air conditioner influence degree model as data different from the model data 511 during the update. When updating, by leaving the past sensor ID, temperature change, update date and time, etc., it is possible to perform the update in consideration of the past influence degree.

(Updating timing and updating method when updating the air conditioner impact model in daily air conditioner operation changes)
Next, in the method of recalculating the air conditioner influence degree model when the daily operation change of the air conditioner 23 is performed (see (4b) above), the air conditioner influence degree model is updated more effectively. The method will be explained.

  In an actual data center, the operation pattern of the air conditioner 23 to be executed is often biased. If the air conditioner influence model is updated by the daily recalculation method described in (4b) above, it is frequently updated. Some model parts can be generated and some model parts not updated.

  For example, when the air conditioner A is operated daily from 0% to 25%, the model parts of 0% → 25% and 25% → 0% are frequently updated, but the other model parts are not updated.

  Hereinafter, a specific description will be given with reference to FIG. As shown in the upper left of FIG. 15, the creation unit 53 repeats the operation experiment of the air conditioner 23 in the initial stage for the air conditioners A to D, and creates an air conditioner influence degree model (initial air conditioner influence degree model).

  At this time, the creation unit 53 records the update date, sensor ID, temperature change a, and the like for the data created by the air conditioner influence degree model (measurement value (1)).

  As shown in the upper right of FIG. 15, the control unit 52 repeats the score measurement / score prediction of the server room 2 and performs the air conditioning operation according to the score. At this time, the creation unit 53 updates the air conditioner influence model by the updating method by daily recalculation described in (4b) above.

  The creation unit 53 also records the update date / time, sensor ID, temperature change b, and the like for the updated data of the air conditioner influence model at the time of this update (measurement value (2)).

  At this time, it is assumed that the operation of the air conditioner 23 is repeated for the air conditioners A to D by 0% to 25% depending on the workload of the server.

  When the workload 0% to 25% of the air conditioners A to D changes to the measured value (2) due to the update of the air conditioner influence model due to long-term operation, the measured value (1) and the measured value (2) Is obtained from the sum of absolute values of differences in temperature change between the sensors (1) to (10). An example of the change amount Z is shown in the following formula (4).

    Z = | a1-b1 | + | a2-b2 | +… + | a10 -b10 | (4)

  When the change amount Z becomes larger than the set threshold value T, it is considered that the server workload, the arrangement of the server room 2, and the like have changed.

  At this time, A to D and 0% to 25% of the air conditioner influence degree model are adapted to the latest state because the model is updated with the measured value (2).

  However, regarding the air conditioner influence degree models A to D and 25 to 100%, only the model at the time of the measurement value (1) exists and does not correspond to the state of the latest server room 2, so the control unit 52. May not be able to perform appropriate air conditioning control.

  Therefore, the creation unit 53 may update the air conditioner influence degree model at least on data (change pattern) of the measurement values (1) and (2) with the oldest update date and / or low update frequency.

  For example, it is assumed that the change amount Z of the temperature change of the air conditioner A from 0% to 25% is larger than the threshold value T as follows.

    Change Z = | -1-1 | + ... + | 0.5-0 |> Threshold T

  In this case, as shown in the lower part of FIG. 15, the creation unit 53 is not implemented within a predetermined period, for example, by the method of measuring the air conditioning degree influence degree described in (4a) above, or The air conditioner influence degree is updated to the latest for one or more change patterns whose number of times is less than or equal to the threshold. This update may be performed on the entire data of the air conditioner influence degree model.

  At this time, the creation unit 53 records the update date and time, the sensor ID, and the temperature change c (measurement value (3)).

  In this way, the creation unit 53 measures the temperature change by changing the operating rate of the air conditioner A in order to update the 25% to 100% model of the air conditioner A with the oldest update date and time. Create and update the latest air conditioner impact model suitable for the condition of 2.

  In addition, said measured value (2) and (3) may be handled as a reference value (initial value) of the present air conditioner influence degree model. For example, in the subsequent daily recalculation, the measured value (1) in the upper left of FIG.

  As described above, when the change indicated by the change information associated with one of the plurality of change patterns satisfies the condition, the creation unit 53 is based on the actual performance of the plurality of change patterns. It is an example of the output part which outputs the instruction | indication which implements the change of the driving | running state of an air conditioning by the change pattern selected by this. Satisfying the condition corresponds to the magnitude of the difference between the change indicated by the change information associated with any change pattern and the reference value of the change indicated by the change information exceeding a threshold value.

  In addition, when the creation unit 53 as an example of the change unit detects a change in the indoor temperature due to the change in the operation state of the air conditioning performed according to the instruction, the creation unit 53 is performed according to the instruction with reference to the memory unit 51. Change information indicating a change in room temperature associated with the change pattern is changed to change information indicating the detected change.

  As described above, according to the model base control unit 5, the air conditioner influence degree model suitable for the environment of the server room 2 can be managed by creating and updating the air conditioner influence degree model described above. The air conditioner influence model is information that can be used to estimate which temperature change the air conditioner 23 of the plurality of air conditioners 23 gives to which part in the server room 2. Therefore, since air conditioning control is performed based on the air conditioner influence degree model managed in this manner, appropriate and stable air conditioning control can be realized.

[1-3] Operation Example Next, an operation example of the control system 1 configured as described above will be described with reference to FIGS. 16 and 17.

[1-3-1] Operation Example of Air Conditioning Control First, an operation example of air conditioning control by the control system 1 will be described with reference to FIG.

  The creation unit 53 of the model base control unit 5 creates an air conditioner influence degree model indicating the degree of influence on the server room 2 for each air conditioner 23 in cooperation with the data collection unit 3 and the data acquisition / control unit 4. The model data 511 is stored in the memory unit 51 (step S1; see FIG. 3).

  The controller 52 waits for the change timing of the air conditioning setting (step S2). The change timing includes, for example, when the control unit 52 determines that the floor temperature is in a calm state, or when the time until the floor temperature has settled after the previous air conditioning setting has passed.

  Based on the air conditioner influence model, the control unit 52 calculates an actual measurement score based on the current air conditioning setting and a predicted score after the air conditioning setting is changed (step S3). In the score calculation, as described above, score correction based on the power characteristics of the air conditioner 23 may be performed.

  Then, the control unit 52 selects an optimal air conditioning setting based on the actual measurement score and the predicted score (step S4), and outputs the selected air conditioning setting to the data acquisition / control unit 4 as an air conditioning control instruction. In the selection of the optimum air conditioning setting, one air conditioning setting may be selected, or a plurality of air conditioning settings to be executed simultaneously may be selected.

  The data acquisition / control unit 4 changes the air conditioning setting for the instructed air conditioner 23 based on the instruction from the control unit 52 (step S5). The data acquisition / control unit 4 may inquire of the terminal 7 whether or not the air conditioning setting can be performed when changing the air conditioning setting.

  The creation unit 53 updates the air conditioner influence degree model after changing the air conditioning setting (step S6), and the process proceeds to step S2.

[1-3-2] Operation Example of Update Processing of Air Conditioner Influence Model Next, an operation example of update processing of the air conditioner influence model will be described with reference to FIG. In the following description, the case of performing the daily recalculation described in (4b) above will be described as an example.

  As illustrated in FIG. 17, the creation unit 53 creates a model portion whose setting has been changed in the air conditioner influence degree model based on a temperature change b [i] (i is a sensor ID; an integer from 1 to 10) due to the setting change. Update (step S11).

  Next, the creating unit 53 calculates a change amount Z (see the above formula (4)) of the temperature change b [i] due to the setting change from the initial temperature change a [i] (step S12).

  The creation unit 53 determines whether or not the change amount Z is larger than the threshold value T (step S13). When the change amount Z is larger than the threshold value T (Yes in Step S13), the creation unit 53 changes the setting of the air conditioner 23 according to the unupdated model portion in the air conditioner influence degree model (Step S14).

  The creation unit 53 measures the temperature change due to the setting change in step S14 (step S15), and updates the model part whose setting is changed in the air conditioner influence degree model based on the temperature change measured in step S15 (step S16).

  Next, the creating unit 53 determines whether or not there is an unupdated model part (step S17), and if there is (Yes in step S17), the process proceeds to step S14. On the other hand, if there is no unupdated model portion (No in step S17), the process ends. In step S13, when the change amount Z is equal to or smaller than the threshold value T (No in step S13), the process ends.

  In addition, the method of measuring again the air-conditioning degree influence degree as described in said (4a) may be used for the process of step S14-S17. Further, in the processes in steps S14 to S17, the entire air conditioner influence degree model including the updated model part may be updated.

[1-4] Hardware Configuration Example Next, a hardware configuration example of the data collection unit 3, the data acquisition / control unit 4, and the model base control unit 5 according to an embodiment will be described with reference to FIG. To do. Since the data collection unit 3, the data acquisition / control unit 4, and the model base control unit 5 may have the same hardware configuration, hereinafter, the computer 10 is taken as an example of these and the hardware of the computer 10 is taken as an example. A hardware configuration example will be described.

  As shown in FIG. 18, the computer 10 illustratively includes a processor 10a, a memory 10b, a storage unit 10c, an IF (Interface) unit 10d, an I / O (Input / Output) unit 10e, and a reading unit 10f. Good.

  The processor 10a is an example of an arithmetic processing device that performs various controls and arithmetic operations. The processor 10a may be communicably connected to each block in the computer 10 via a bus 10i. For example, an integrated circuit (IC) such as a CPU, MPU, GPU, APU, DSP, ASIC, or FPGA may be used as the processor 10a. CPU is an abbreviation for Central Processing Unit, and MPU is an abbreviation for Micro Processing Unit. GPU is an abbreviation for Graphics Processing Unit, and APU is an abbreviation for Accelerated Processing Unit. DSP is an abbreviation for Digital Signal Processor, ASIC is an abbreviation for Application Specific IC, and FPGA is an abbreviation for Field-Programmable Gate Array.

  The memory 10b is an example of hardware that stores information such as various data and programs. An example of the memory 10b is a volatile memory such as a RAM.

  The storage unit 10c is an example of hardware that stores information such as various data and programs. Examples of the storage unit 10c include a magnetic disk device such as an HDD, a semiconductor drive device such as an SSD, and various storage devices such as a nonvolatile memory. Examples of the non-volatile memory include flash memory, SCM (Storage Class Memory), ROM (Read Only Memory), and the like.

  The memory unit 51 of the model base control unit 5 illustrated in FIG. 1 may be realized by, for example, at least one storage area of the memory 10b and the storage unit 10c of the model base control unit 5.

  The storage unit 10c may store a program 10g that realizes all or some of the various functions of the computer 10. The processor 10a develops the program 10g stored in the storage unit 10c in the memory 10b and executes it, so that the data collection unit 3, the data acquisition / control unit 4 or the model base control unit 5 shown in FIG. Functions can be realized.

  For example, in the data collection unit 3, the processor 10 a of the data collection unit 3 expands the program 10 g stored in the storage unit 10 c to the memory 10 b and executes arithmetic processing, thereby obtaining the reception unit 31 and the collection unit 32. Can be realized. In the data acquisition / control unit 4, the processor 10a of the data acquisition / control unit 4 expands the program 10g stored in the storage unit 10c to the memory 10b and executes arithmetic processing, thereby obtaining the acquisition unit 41, Functions as the output unit 42 and the UI module 43 can be realized. Further, in the model base control unit 5, the processor 10a of the model base control unit 5 expands the program 10g stored in the storage unit 10c to the memory 10b and executes arithmetic processing, whereby the control unit 52, the creation unit 53 and the log output unit 54 can be realized.

  The IF unit 10d is an example of a communication interface that performs connection control and communication control with a network. For example, the IF unit 10d may include an adapter conforming to a LAN or optical communication (for example, FC (Fibre Channel)). For example, the program 10g may be downloaded from the network to the computer 10 via the communication interface and stored in the storage unit 10c.

  The I / O unit 10e includes one or both of an input unit such as a mouse, a keyboard, or an operation button, and a monitor such as a touch panel display or LCD (Liquid Crystal Display), an output unit such as a projector, or a printer. Good.

  The reading unit 10f is an example of a reader that reads data and program information recorded in the recording medium 10h. The reading unit 10f may include a connection terminal or a device that can connect or insert the recording medium 10h. Examples of the reading unit 10f include an adapter compliant with USB (Universal Serial Bus), a drive device that accesses a recording disk, a card reader that accesses a flash memory such as an SD card, and the like. Note that the program 10g may be stored in the recording medium 10h, and the reading unit 10f may read the program 10g from the recording medium 10h and store it in the storage unit 10c.

  Examples of the recording medium 10h include non-temporary recording media such as a magnetic / optical disk and a flash memory. Examples of the magnetic / optical disc include a flexible disc, a CD (Compact Disc), a DVD (Digital Versatile Disc), a Blu-ray disc, and an HVD (Holographic Versatile Disc). Examples of the flash memory include a USB memory and an SD card. Examples of the CD include CD-ROM, CD-R, CD-RW, and the like. Examples of the DVD include a DVD-ROM, a DVD-RAM, a DVD-R, a DVD-RW, a DVD + R, and a DVD + RW.

  The hardware configuration of the computer 10 described above is an example. Therefore, hardware increase / decrease (for example, addition or deletion of arbitrary blocks), division, integration in an arbitrary combination, or addition or deletion of buses in the computer 10 may be performed as appropriate.

[2] Others The technology according to the above-described embodiment can be implemented with modifications and changes as follows.

  For example, at least one of the data collection unit 3, the data acquisition / control unit 4, and the model base control unit 5 illustrated in FIG. 1 may be merged in hardware or software, or may be divided. Also good.

  The processor 10a of the computer 10 shown in FIG. 18 is not limited to a single processor or a single core processor, and may be a multiprocessor or a multicore processor.

[3] Supplementary Notes Regarding the above embodiment, the following supplementary notes are further disclosed.

(Appendix 1)
When a change in the indoor temperature due to the change of the air conditioner operating state is detected, change information indicating a change in the indoor temperature caused by changing the air conditioner operating state to each of a plurality of change patterns is associated with the change pattern. Change the change information indicating the change in the indoor temperature associated with the change pattern of the change performed to the change information indicating the detected change,
When the change indicated by the change information associated with one of the plurality of change patterns satisfies a condition, the change pattern selected based on the actual performance of the plurality of change patterns. Outputs an instruction to change the operating state of the air conditioning;
A control program for causing a computer to execute processing.

(Appendix 2)
The control program according to supplementary note 1, wherein the change pattern selected based on the actual performance is one or more change patterns in which the implementation is not performed within a predetermined period or the number of implementations is equal to or less than a threshold value. .

(Appendix 3)
Satisfying the condition corresponds to a difference between a change indicated by the change information associated with any one of the change patterns and a reference value of the change indicated by the change information exceeding a threshold value. The control program according to Supplementary Note 1 or Supplementary Note 2.

(Appendix 4)
When a change in room temperature due to a change in the operating state of the air conditioning performed according to the instruction is detected, a change in the room temperature associated with the change pattern performed according to the instruction is referred to the storage unit Change the change information indicating the change information indicating the detected change,
The control program according to any one of appendices 1 to 3, which causes the computer to execute processing.

(Appendix 5)
A plurality of air conditioners and a plurality of temperature sensors are provided in the room,
The change pattern is defined for each combination of the operation state before the change of each air conditioner and the operation state after the change of the air conditioner,
The storage unit associates, for each air conditioner, change information indicating changes in the detected values of the plurality of temperature sensors by changing the operation state of the air conditioner to the change pattern. The control program according to any one of appendices 1 to 4, which is stored.

(Appendix 6)
When a change in the indoor temperature due to the change of the air conditioner operating state is detected, change information indicating a change in the indoor temperature caused by changing the air conditioner operating state to each of a plurality of change patterns is associated with the change pattern. Change the change information indicating the change in the indoor temperature associated with the change pattern of the change performed to the change information indicating the detected change,
When the change indicated by the change information associated with one of the plurality of change patterns satisfies a condition, the change pattern selected based on the actual performance of the plurality of change patterns. Outputs an instruction to change the operating state of the air conditioning;
A control method characterized by that.

(Appendix 7)
The control method according to appendix 6, wherein the change pattern selected based on the actual performance is one or more change patterns in which the implementation is not performed within a predetermined period or the number of implementations is equal to or less than a threshold value. .

(Appendix 8)
Satisfying the condition corresponds to a difference between a change indicated by the change information associated with any one of the change patterns and a reference value of the change indicated by the change information exceeding a threshold value. The control method according to appendix 6 or appendix 7.

(Appendix 9)
When a change in room temperature due to a change in the operating state of the air conditioning performed according to the instruction is detected, a change in the room temperature associated with the change pattern performed according to the instruction is referred to the storage unit Change the change information indicating the change information indicating the detected change,
The control method according to any one of appendices 6 to 8.

(Appendix 10)
A plurality of air conditioners and a plurality of temperature sensors are provided in the room,
The change pattern is defined for each combination of the operation state before the change of each air conditioner and the operation state after the change of the air conditioner,
The storage unit associates, for each air conditioner, change information indicating changes in the detected values of the plurality of temperature sensors by changing the operation state of the air conditioner to the change pattern. The control method according to any one of appendices 6 to 9, which is stored.

(Appendix 11)
A storage unit for storing change information indicating a change in room temperature by changing the operation state of the air conditioning to each of the plurality of change patterns, in association with the change pattern;
When a change in room temperature due to a change in the operating state of the air conditioning is detected, change information indicating a change in the room temperature associated with the changed change pattern is detected with reference to the storage unit. A change unit for changing to change information indicating the change,
When the change indicated by the change information associated with one of the plurality of change patterns satisfies a condition, the change pattern selected based on the actual performance of the plurality of change patterns. And an output unit that outputs an instruction to change the operating state of the air conditioning.

(Appendix 12)
The control device according to supplementary note 11, wherein the change pattern selected based on the actual performance is one or more change patterns in which the execution is not performed within a predetermined period or the number of executions is equal to or less than a threshold value. .

(Appendix 13)
Satisfying the condition corresponds to a difference between a change indicated by the change information associated with any one of the change patterns and a reference value of the change indicated by the change information exceeding a threshold value. The control device according to appendix 11 or appendix 12.

(Appendix 14)
When the change unit detects a change in room temperature due to a change in the operating state of the air conditioning performed according to the instruction, the change unit refers to the storage unit and associates the change pattern with the change pattern performed according to the instruction. Change the change information indicating the change in the indoor temperature to the change information indicating the detected change,
The control device according to any one of appendices 11 to 13.

(Appendix 15)
A plurality of air conditioners and a plurality of temperature sensors are provided in the room,
The change pattern is defined for each combination of the operation state before the change of each air conditioner and the operation state after the change of the air conditioner,
The storage unit associates, for each air conditioner, change information indicating changes in the detected values of the plurality of temperature sensors by changing the operation state of the air conditioner to the change pattern. The control device according to any one of appendices 11 to 14, which is stored.

DESCRIPTION OF SYMBOLS 1 Control system 2 Server room 21 Rack 22 Distribution board 23 Air conditioner 3 Data collection part 31 Reception part 32 Collection part 4 Data acquisition and control part 41 Acquisition part 42 Output part 43 UI module 5 Model base control part 51 Memory part 511 Model Data 512 Log 52 Control unit 53 Creation unit 54 Log output unit 6 Network 7 Terminal

Claims (7)

When a change in the indoor temperature due to the change of the air conditioner operating state is detected, change information indicating a change in the indoor temperature caused by changing the air conditioner operating state to each of a plurality of change patterns is associated with the change pattern. Change the change information indicating the change in the indoor temperature associated with the change pattern of the change performed to the change information indicating the detected change,
When the change indicated by the change information associated with one of the plurality of change patterns satisfies a condition, the change pattern selected based on the actual performance of the plurality of change patterns. Outputs an instruction to change the operating state of the air conditioning;
A control program for causing a computer to execute processing.   2. The control according to claim 1, wherein the change pattern selected based on the actual performance is one or more change patterns in which the implementation is not performed within a predetermined period or the number of implementations is equal to or less than a threshold value. program. Satisfying the condition corresponds to a difference between a change indicated by the change information associated with any one of the change patterns and a reference value of the change indicated by the change information exceeding a threshold value. The control program according to claim 1 or 2. When a change in room temperature due to a change in the operating state of the air conditioning performed according to the instruction is detected, a change in the room temperature associated with the change pattern performed according to the instruction is referred to the storage unit Change the change information indicating the change information indicating the detected change,
The control program according to any one of claims 1 to 3, which causes the computer to execute processing. A plurality of air conditioners and a plurality of temperature sensors are provided in the room,
The change pattern is defined for each combination of the operation state before the change of each air conditioner and the operation state after the change of the air conditioner,
The storage unit associates, for each air conditioner, change information indicating changes in the detected values of the plurality of temperature sensors by changing the operation state of the air conditioner to the change pattern. The control program of any one of Claims 1-4 memorize | stored. When a change in the indoor temperature due to the change of the air conditioner operating state is detected, change information indicating a change in the indoor temperature caused by changing the air conditioner operating state to each of a plurality of change patterns is associated with the change pattern. Change the change information indicating the change in the indoor temperature associated with the change pattern of the change performed to the change information indicating the detected change,
When the change indicated by the change information associated with one of the plurality of change patterns satisfies a condition, the change pattern selected based on the actual performance of the plurality of change patterns. Outputs an instruction to change the operating state of the air conditioning;
A control method characterized by that. A storage unit for storing change information indicating a change in room temperature by changing the operation state of the air conditioning to each of the plurality of change patterns, in association with the change pattern;
When a change in room temperature due to a change in the operating state of the air conditioning is detected, change information indicating a change in the room temperature associated with the changed change pattern is detected with reference to the storage unit. A change unit for changing to change information indicating the change,
When the change indicated by the change information associated with one of the plurality of change patterns satisfies a condition, the change pattern selected based on the actual performance of the plurality of change patterns. And an output unit that outputs an instruction to change the operating state of the air conditioning.