JP2004013674A - Facility supervising unit, facility control method, and facility management system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a facility supervising unit, a facility control method and facility management system which can readily complement lacking data. <P>SOLUTION: In this system, a management unit 6 which manages energy-save control of air conditioning machine is provided with an operation control decision part 64 and an integral power consumption calculation part 60, the operation control decision part 64 decides the energy-save control which must be performed based on the data of demand values of air conditioning machine detected serially, and the integral power consumption calculation part 60 complements the lack of the data which was detected using the data of same time period on one week ago, when the data of demand value has lacks. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to an equipment management apparatus, an equipment management method, and an equipment management system that manage energy saving control of equipment.
[0002]
[Prior art]
In recent years, equipment management apparatuses that manage control of equipment such as air conditioners have been widely used. This equipment management device can manage equipment by receiving information related to equipment from a control device that controls the equipment, and instructing the control device to control the equipment. . Here, as one of the control of the equipment managed by the equipment management apparatus, there is energy saving control. This energy saving control is for controlling the equipment so as to reduce the energy consumption of the equipment. Some of the equipment management devices perform optimum energy saving control by determining energy saving control to be performed based on data on energy consumption of equipment detected in time series. For example, a facility device management device that manages an air conditioner may reduce the power consumption of the air conditioner based on time-series data of the power consumption of the air conditioner while maintaining the comfort of the room where the air conditioning is performed as much as possible. Judgment is made for energy saving control to reduce the energy. Then, the control device of the air conditioner controls the air conditioner based on the energy saving control determined by the equipment management device. Thereby, optimal energy saving control can be realized.
[0003]
By the way, data on the energy consumption of the equipment described above may be missing. In the above example, there is a case where a software version upgrade operation or the like is performed on the control device, and data during the operation is lost without being detected. Conventionally, when such data loss occurs, it is often complemented by data before and after the missing portion.
[0004]
[Problems to be solved by the invention]
However, when missing data is complemented by preceding and succeeding data, it is necessary to change the complementing method depending on the number of continuous data missing in order to perform reliable complementation, which is complicated. In addition, if the number of consecutive missing parts increases, the complementation becomes inaccurate, and in some cases, the complementation may not be possible.
[0005]
An object of the present invention is to provide an equipment management device, an equipment control method, and an equipment management system that can easily supplement missing data.
[0006]
[Means for Solving the Problems]
An equipment management apparatus according to claim 1 is an equipment management apparatus that manages energy saving control of equipment, and includes a determination unit and a complement unit. The determining unit determines the energy saving control to be performed based on the data regarding the energy consumption of the equipment detected in time series. When there is a missing portion in the data, the complementing unit supplements the missing portion using data on another day in the same time zone as the time zone in which the missing portion was detected.
[0007]
In this equipment management device, when data is missing, the complementing section complements the missing portion by using data on another day in the same time zone as the time zone in which the missing portion was detected. Therefore, compared with the case where various complementing methods are used in accordance with the number of missing data, the missing data can be easily complemented. In addition, there are many data on the energy consumption of the equipment that tend to be close in the same time zone, and the data of the missing part and the complemented data are considered to be close to each other. It can be performed.
[0008]
The equipment management apparatus according to claim 2 is the equipment management apparatus according to claim 1, wherein the complementing unit stores data of a day one week before the same time zone as the time zone in which the missing part was detected. Complements the missing part.
In this equipment management device, the complementing unit complements the missing part with data of a day one week before the time zone in which the missing part was detected. For this reason, the equipment management apparatus can perform more reliable complementation for data that tends to be close to the same day of the week.
[0009]
An equipment management apparatus according to a third aspect is the equipment management apparatus according to the first or second aspect, wherein the complementing unit further complements the missing part using manually input data.
In this equipment management device, the missing part is complemented by using data on the other day of the same time zone as the time zone in which the missing part is detected, and the missing part is further complemented by using manually input data. be able to. For this reason, if there is a possibility that data on other days in the same time zone as the time when the missing portion is detected may be unreliable, the missing portion is complemented using manually input data. It can be carried out. As a result, in this equipment management apparatus, the possibility that the reliability of complementation is reduced can be reduced.
[0010]
The equipment management apparatus according to claim 4 is the equipment management apparatus according to claim 2, wherein the complementing unit stores data of a day one week before the same time zone as the time zone in which the missing part was detected. If there is no, the data is temporarily supplemented by using the manually input temporary data, and then the missing data is complemented by the data of the day one week later than the time zone in which the missing data was detected.
[0011]
In this equipment management device, even when data of a day one week before the same time zone as the time zone where the missing part is detected does not exist, the data can be complemented with data of the same time zone one week later. it can. In the case of data that tends to be close to the same day of the week, it is considered that the data one week later is also close to the data of the missing part, like the data one week ago. For this reason, in this equipment management apparatus, even if there is no data one week ago, it is possible to easily supplement the data while maintaining the reliability.
[0012]
An equipment control method according to a fifth aspect is an equipment control method for managing energy-saving control of equipment, and includes a first step and a second step. In the first step, energy saving control to be performed is determined based on data on the energy consumption of the equipment detected in time series. In the second step, when there is a missing portion in the data, the missing portion is complemented by using data on another day in the same time zone as the time zone in which the missing portion was detected.
[0013]
In this equipment control method, when data is missing, the missing portion is complemented by using data on another day in the same time zone as the time zone in which the missing portion was detected. For this reason, according to this equipment control method, missing data can be easily complemented as compared with a case where various complementing methods are changed due to missing data. In addition, data related to the energy consumption of equipment and equipment tend to have similar values in the same time zone, and the data of the missing part and the complemented data are considered to have similar values. It can be performed.
[0014]
An equipment management system according to claim 6 includes equipment, a control device, and an equipment management device. The control device controls the equipment. The equipment management device is the equipment management device according to any one of claims 1 to 4, which is connected to the control device and manages the equipment.
In this equipment management system, the complementing part of the equipment management device complements the missing part by using data of another day in the same time zone as the time zone in which the missing part is detected, when data is missing. . Therefore, compared with the case where various complementing methods are used in accordance with the number of missing data, the missing data can be easily complemented. In addition, there are many data on the energy consumption of the equipment that tend to be close in the same time zone, and the data of the missing part and the complemented data are considered to be close to each other. It can be performed.
[0015]
BEST MODE FOR CARRYING OUT THE INVENTION
[First Embodiment]
<Structure>
[Configuration of the entire system]
FIG. 1 is a block diagram showing a configuration of an equipment management system 1 to which an embodiment of the present invention is applied.
[0016]
The equipment management system 1 is a system in which an air conditioner 3 for performing air conditioning in a property 2 is controlled by a control device 4 and the air conditioner 3 is remotely managed by a management device 6 in a remote monitoring center 5. .
The equipment management system 1 mainly includes an air conditioner 3, a control device 4, and a management device 6.
[0017]
The air conditioner 3 is arranged in a property 2 such as a building or a factory to perform indoor air conditioning. The target of management by the equipment management system 1 is not limited to the air conditioner 3 but may be other equipment such as a hot water supply device and lighting.
The control device 4 is connected to the air conditioner 3 by a communication line, and performs centralized control of the air conditioner 3. The control device 4 is arranged in a management room or the like in the property 2 where the air conditioner 3 is arranged. The control device 4 is connected to the management device 6 via the Internet 7 and sends operation data of the air conditioner 3 to the management device 6. The operation data includes the indoor temperature, the control executed by the air conditioner 3, the power consumption of the air conditioner 3, and the like. These operation data are detected at regular time intervals, for example, every minute, and are stored in the control device 4. Then, the control device 4 transmits the accumulated operation data to the management device 6 collectively, for example, every hour.
[0018]
The management device 6 is a device that manages the air conditioner 3 connected to the control device 4, and is located in the remote monitoring center 5 remote from the property 2 where the air conditioner 3 is located. The contents of the management performed by the management device 6 include abnormality monitoring, automatic energy saving control, automatic report creation, and the like. The abnormality monitoring determines whether an abnormality has occurred in the air conditioner 3 based on the operation data of the air conditioner 3 sent from the control device 4 and, if an abnormality has occurred, a manager of the property 2 or the like. This is the management content of notifying to. The energy-saving automatic control is a management content of automatically performing the energy-saving control in a predetermined period so that a certain amount of power consumption is reduced in the predetermined period. The automatic report creation is a management content in which a report summarizing the operation effects of the energy saving control is automatically created and periodically sent to the owner or the manager of the property 2.
[0019]
Hereinafter, the management device 6 will be described in particular with respect to the energy-saving automatic control characteristic of the present invention.
[Configuration of management device]
The management device 6 automatically creates a schedule for energy saving control of the air conditioner 3 based on the operation data sent from the control device 4 and the weather information 80 sent from the weather company 8, and sends the schedule to the control device 4. Send. The schedule of the energy-saving control aims at reducing the power consumption of the air conditioner 3 without impairing the comfort of the indoor environment to be air-conditioned as much as possible, and is a combination of a plurality of control methods. The management device 6 creates an energy saving control schedule of the day based on the latest weather information 80 and the operation data of the previous day every day, and transmits the schedule to the control device 4. The schedule of the energy saving control is created so as to achieve the target amount of power throughout the year. That is, the management device 6 selects a plurality of control methods corresponding to the weather of the day from the weather information 80 and the like, selects a control method capable of further reducing the power consumption from among them, and sets a combined schedule. By doing so, automatic energy saving control is performed to reduce power consumption as much as possible while maintaining comfort.
[0020]
FIG. 2 is a block diagram illustrating a configuration of the management device 6.
The management device 6 includes an integrated power amount calculation unit 60, a required control rate generation unit 61, a discomfort index calculation unit 62, an executable control list generation unit 63, an execution control determination unit 64, an energy saving control schedule creation unit 65, a limit period setting unit. 66 and a storage unit (not shown).
<Integrated power calculation unit>
The integrated power amount calculation unit 60 calculates the integrated power amount of the power consumed by the air conditioner 3 from the start date based on the operation data 40 sent from the control device 4. The integrated power amount calculation unit 60 sends the calculated integrated power amount to the required control rate generation unit 61.
[0021]
The integrated power amount is specifically calculated by the following formula.
P = 0.5 × ΣPi
P is an integrated electric energy, and Pi is a demand value. Here, the demand value obtained by calculating the average electric energy with the demand time period set to 30 minutes is used.
Here, when a missing portion occurs in the data of the demand value sent from the control device 4, the integrated power amount calculating section 60 complements the missing portion as follows.
[0022]
(Complete missing parts)
FIG. 9A shows a demand curve of a certain day (hereinafter, “data missing day”). On this day, since the software version of the control device 4 was upgraded, a missing portion 600 is generated in the demand value data from 15:00 to 16:00. Since the demand time period is 30 minutes, two demand values are missing in the missing portion 600.
[0023]
The integrated power amount calculator 60 automatically complements the missing part 600 with a demand value in the same time zone one week before the data missing date. FIG. 9B shows data of a day one week before the date of data loss. The integrated power calculation unit 60 complements the missing part 600 with the demand value 601 from 15:00 to 16:00 one week before the data missing day. That is, the integrated power amount calculation unit 60 calculates the demand values from 15:00 to 16:00 on the day of the data loss from 15:00 to 16:00 on the day one week prior to the data loss day. Is substituted into the above equation to calculate the integrated electric energy.
[0024]
Further, the demand value of the complemented missing portion 600 can be changed later by manually input data. For example, when the day one week before the data missing day corresponds to a holiday, or when the weather one week before the data missing day is significantly different from the weather on the data missing day, the data of the missing part 600 is one week ago. When it is not expected that the value is close to the date data, it is preferable to manually input data that is considered to be close to the data of the missing portion 600.
[0025]
In addition, when complementing, not only the demand value in the same time zone of the day before one week is used as it is, but also the reliability of complementing can be further enhanced by using a multiplied by a predetermined coefficient.
<Request control rate generator>
The required control rate generation unit 61 obtains the required control rate by comparing the integrated power amount with the target power amount M1 stored in the storage unit. Here, the target power amount M1 is a power consumption amount of the air conditioner 3 targeted in the energy saving control, and is an integrated value from the reference date. The required control rate is a control rate required to achieve the target electric energy, and the control rate is a value obtained by subtracting a value obtained by subtracting the actual operation time from the operation time of the air conditioner 3 by the operation time. It is expressed as a percentage. Therefore, the higher the control rate, the shorter the actual operation time. For example, when the integrated power amount up to a certain day exceeds the target power amount, a high control rate is required in the subsequent energy saving control, and the operation time of the air conditioner 3 is limited. The required control rate is divided into three stages: high control rate, medium control rate, and low control rate. The required control rate is 40% for the high control rate, 20% for the medium control rate, and 10% for the low control rate. It is stored in the storage unit as the set value M2 of the rate.
[0026]
Further, the target power amount M1 is obtained as follows. First, a target power reduction amount for each month is obtained from the power consumption amount of the air conditioner 3 and the target reduction rate for each month in the base year. The target reduction rate is a target reduction rate of the power consumption with respect to the power consumption in the base year, and is a predetermined reduction rate of the power consumption guaranteed by the remote monitoring center 5 for the owner of the property or the like. Is the value obtained by adding the margin. Next, a target power amount for each month is obtained from the target reduction power amount for each month and the power consumption amount of the air conditioner 3 for the month in the base year. By dividing the target power amount for each month by the number of days in each month, a target power amount M1 per day is obtained. Then, in the storage unit, a value obtained by integrating the target power amount M1 per day for each day is stored as the daily target power amount M1 for one year.
[0027]
Note that the required control rate is specifically determined by the following determination condition expressions (1) and (2).
Fm (N−2) ≧ Ft (N−2) (1)
Ft (N-2)> Fm (N-2) -50kWh (2)
N is the accumulated number of days from the start of operation, and indicates the day on which the energy saving control is performed. Fm (N) is the integrated power amount up to the Nth day, and Ft (N) is the target power amount M1 up to the Nth day. Therefore, Fm (N-2) is the integrated power amount two days before the control day, and Fm (N-2) is the target power amount M1 two days before the control day.
[0028]
As shown in FIG. 3, the required control rate is a high control rate when the equation (1) is satisfied, a medium control rate when the equation (2) is satisfied, and a low control rate when the other equation is satisfied. The request control rate generation unit 61 sends the generated request control rate to the execution control determination unit 64.
<Discomfort index calculator>
The discomfort index calculation unit 62 calculates the discomfort index based on the weather information 80 and sends it to the executable control list generation unit 63. The weather information 80 is composed of the outside air temperature and the outside air humidity. The discomfort index is obtained by the following equation (3).
[0029]
D = 0.81 × T + 0.01 × H × (0.99 × T-14.3) +46.3 (3)
D represents the discomfort index, T represents the outside air temperature, and H represents the outside air humidity.
If the discomfort index is 70, it is determined that some of the persons are uncomfortable, if the index is 75, half of the persons are uncomfortable, and if it is 80, all of the persons are uncomfortable.
[0030]
<Executable control list generator>
The executable control list generation unit 63 generates an executable control list that lists executable control methods among various control methods based on the control method switching condition M3 and the discomfort index stored in the storage unit. Here, as shown in FIG. 4, the control method switching condition M3 includes various control methods, control rates in each control method, and upper and lower limits of the discomfort index that can select each control method and control rate. It shows the relationship. Control methods include capacity control and intermittent control. The capacity control is a control method for performing the operation while limiting the capacity. For example, the control method for the upper limit of the capacity control of 40% is a control method for performing the operation with the upper limit of 40% of the rated capacity. In addition, the intermittent operation is a control method in which a pause is provided halfway, such as 7 minutes operation / 3 minutes stop. In the intermittent operation, there is a method in which this control is performed alone, or a method in which capacity control is used in combination. In both the capacity control and the intermittent operation, the upper limit and the lower limit of the selectable discomfort index differ depending on the upper limit of the capacity and the control rate. Whether or not selection is possible is determined depending on whether the indoor environment deteriorates or whether a predetermined power reduction effect cannot be expected, and is set in advance by the developer.
[0031]
The executable control list generation unit 63 enters the control method into the executable control list only when a certain control method can be performed to set a predetermined indoor environment. Specifically, based on the upper and lower limits of the discomfort index set for each control method switching condition and the discomfort index calculated by the discomfort index calculation unit 62, a control method that satisfies the following determination condition formula (4) is implemented. Put in the available control list.
[0032]
A1 ≦ D ≦ A2 (4)
A1 is the lower limit of the selectable discomfort index, D is the discomfort index calculated by the discomfort index calculator 62, and A2 is the upper limit of the selectable discomfort index.
This determination is made for all control methods, and an executable control list as shown in FIG. 5 is generated. In the executable control list, で あ れ ば indicates that each control method can be performed, and X indicates that the control method cannot be performed. The executable control list is sent to the execution control determining unit 64. Note that the executable control list generation unit 63 may generate the executable control list based on an index indicating the state of the outside air other than the discomfort index.
[0033]
<Execution control decision section>
The execution control deciding unit 64 decides a control method from the required control rate and a list of all executable control methods in accordance with the following priority order.
(I) Select a control method equal to the required control rate from the control methods that can be implemented.
(II) If there is no control method with a control rate equal to the required control rate, a control method with the closest control rate is selected from among the control methods that can be implemented.
[0034]
When a plurality of control methods are selected up to (III) and (II), priority is given to capability control.
When a plurality of performance controls are selected up to (IV) and (III), a performance control with a strong suppression effect is selected.
(V) When there is no executable control method in the executable control list, the control is not performed, that is, the energy saving control is not performed.
[0035]
<Limited period setting section>
The limit period setting unit 66 receives an input of a limit period during which no control, that is, energy saving control is not performed. The restriction period setting unit 66 receives an input of a restriction period on a restriction period input screen 660 as shown in FIG. The restriction period input screen 660 includes a restriction period display column 661, a restriction period input column 662, an add button 663, a delete button 664, and the like. The restriction period display field 661 displays the restriction period that has already been input. The limit period can be entered up to the date and time zone. The date and time zone of the restriction period are input in the restriction period input field 662. Further, by pressing the add button 663, another limit period can be added after the limit period is input. Further, by selecting the already input restriction period and pressing the delete button 664, the already input restriction period can be deleted and the once set restriction period can be released. Note that the restriction period may be a period during which the energy saving control is gradual, as well as the case where the energy saving control is not performed at all.
[0036]
<Energy saving control schedule creation section>
The energy saving control schedule creation unit 65 creates a schedule using the control method determined by the execution control determination unit 64, and sends the schedule to the control device 4 of the air conditioner 3. Here, the date and time zone accepted by the restriction period setting unit 66 is deleted from the schedule, that is, the restriction period is excluded from the schedule.
[0037]
FIG. 7 shows an example of the schedule created by the energy-saving control schedule creating unit 65. This schedule is a schedule from 8:00 on May 30 to 8:00 on May 31 the next day. In this schedule, first, during the daytime from 8:00 on May 30 to 18:00 on the same day, a control method of the capacity upper limit of 40% is performed at a control rate of 10%. During the night from 18:00 on May 30 to 8:00 on the 31st of the next morning, the intermittent operation with the control rate of 10% is performed.
[0038]
<Procedure until energy saving control is performed>
FIG. 8 shows a flow showing a procedure when the management device 6 creates a schedule and energy saving control is performed in the air conditioner 3.
First, in step S1, the integrated power amount is calculated based on the demand value of the air conditioner 3. Here, if there is a missing part 600 in the demand value data sent from the control device 4, the missing part 600 is complemented. FIG. 10 shows a procedure flow in this case. First, it is determined in step S10 whether there is a missing portion 600 in the data of the demand value. If there is no missing portion 600, the process proceeds to step S11. On the other hand, if there is a missing portion 600, the process proceeds to step S12. In step S12, the missing portion 600 is complemented by the demand values 602 and 603 in the same time zone one week before the data missing date, and the process proceeds to step S11. In step S11, the integrated power amount is calculated based on the demand value data. The calculated integrated power amount is sent to the required control rate generation unit 61, and the process proceeds to step S2.
[0039]
Returning to FIG. 8, in step S2, the required control rate is generated based on the integrated power amount and the target power amount M1. The generated required control rate is sent to the execution control determining unit 64.
On the other hand, in step S3, the discomfort index is calculated based on the weather information 80. The calculated discomfort index is sent to the executable control list generation unit 63, and the process proceeds to step S4.
[0040]
In step S4, an executable control list is generated based on the discomfort index and the control method switching condition M3, and is sent to the execution control determining unit 64.
In step S5, the control method to be executed is determined from the required control rate generated in step 2 and the executable control list generated in step S4. The determined control method is sent to the energy saving control schedule creation unit 65, and the process proceeds to step S7.
[0041]
On the other hand, in step S6, a limit period is input and accepted. The input limit period is sent to the energy saving control schedule creation unit 65.
In step S7, an energy-saving control schedule is created from the control method determined in step S5. Then, the restriction period input in step S6 is deleted from the created schedule. The created schedule is sent to the control device 4 via the Internet 7 (see FIG. 1).
[0042]
In step S8, the control device 4 having received the schedule controls the air conditioner 3 according to the schedule control method, and energy saving control is performed.
The above procedure is performed every day of the year. In the management device 6, a schedule is created every day throughout the year so as to achieve the target reduction rate in one year, but the schedule creation interval and the period for achieving the target reduction rate are limited to these. Not something. For example, a schedule may be created at intervals shorter than one day, such as day and night, or at intervals longer than one day, such as once every few days. Further, a schedule may be created so as to achieve the target reduction rate in a period shorter than one year, such as six months, or in a period longer than one year, such as several years.
[0043]
<Features>
In the management device 6 according to the present embodiment, when the demand value data of the air conditioner 3 sent from the control device 4 includes a missing portion, the integrated power amount calculating section 60 determines the time period in which the missing portion is detected. The missing part is complemented using the demand value of the day one week before the same time zone. Therefore, the missing part of the data can be easily complemented by applying the data of the day one week ago.
[0044]
If one or two demand values are missing, it is possible to supplement with the preceding and succeeding data. However, if the number of missing demand values increases, the error with the preceding and following data increases, resulting in inaccurate complementation. Might be. However, in the management device 6, since the demand value in the same time zone one week ago is automatically applied, even if the number of demand values in the missing part increases, highly reliable complementation can be performed.
[0045]
Further, the demand value of the air conditioner 3 tends to be close in the same day of the week at the same time. In other words, the manner in which the air conditioner 3 is used is, for example, often different on Saturday and Monday, but is often the same on the same Monday. The outdoor temperature and the like are usually different between noon and night, but the outdoor temperature and the like are often similar between noon on a certain day and noon one week before. For this reason, it can be said that the reliability of the complemented data is high in the management device 6 that complements the data in the same time zone one week ago. Further, the demand value of the air conditioner 3 is easily affected by climate such as temperature and humidity, but one week ago, the change in climate is small and the error of the demand value is small. For this reason, more reliable complementation can be performed.
[0046]
The management device 6 can perform complementation not only using data in the same time zone of the day before one week, but also using a manually input demand value. For this reason, data in the same time zone of the day before the week, such as when the day before the data loss day is a holiday or when the weather one week before the data loss day is significantly different from the weather on the data loss day, If it is considered that the reliability of the complementation is low, the reliability of the complementation can be ensured by using manually input data.
[0047]
[Second embodiment]
In the management device 6 according to the first embodiment, the data is complemented with the data in the same time zone one week before the data loss date. The calculation of the integrated power amount may be performed by supplementing with the input temporary data and supplementing with the data of the same time zone one day after one week. Since the data in the same time zone one week later is also highly reliable as in the case of one week ago, highly reliable complementation can be easily performed in this case as well.
[0048]
[Other embodiments]
(1) In the management device 6 according to the first embodiment, a display for notifying the occurrence of data loss or a display of the date and time when the data loss occurred may be displayed. As a result, the occurrence of the lack and the date and time can be quickly known, and a quick response can be taken.
(2) A temperature correction formula may be created from demand value data accumulated in the past, and data used for complementation may be corrected by the temperature correction formula before complementing a missing part. As a result, more reliable complementation can be performed in consideration of the temperature difference. Furthermore, grouping may be performed for each day of the week or time zone, and a temperature correction formula may be created for each group. This makes it possible to perform more reliable complementation in accordance with the use condition of the air conditioner 3 that differs for each day of the week or time zone.
[0049]
【The invention's effect】
In the equipment management apparatus according to the first aspect, when data is missing, the complementing unit complements the missing part using data on another day in the same time zone as the time zone in which the missing part was detected. . Therefore, compared with the case where various complementing methods are used in accordance with the number of missing data, the missing data can be easily complemented. In addition, there are many data on the energy consumption of the equipment that tend to be close in the same time zone, and the data of the missing part and the complemented data are considered to be close to each other. It can be performed.
[0050]
In the equipment management apparatus according to the second aspect, the complementing unit complements the missing part with data of a day one week before the time zone in which the missing part was detected. For this reason, the equipment management apparatus can perform more reliable complementation for data that tends to be close to the same day of the week.
In the equipment management device according to the third aspect, the missing part is complemented by using data on the other day of the same time zone as the time zone in which the missing part is detected, and the missing part is further reduced by using manually input data. Parts can be further complemented. For this reason, if there is a possibility that data on other days in the same time zone as the time when the missing portion is detected may be unreliable, the missing portion is complemented using manually input data. It can be carried out. Thereby, in this equipment management apparatus, the possibility that the reliability of complementation is reduced can be reduced.
[0051]
In the equipment management device according to claim 4, even if there is no data of a day one week before the time zone in which the missing part was detected, data of the same time zone one week later is present. Can be complemented by In the case of data that tends to be close to the same day of the week, it is considered that the data one week later is also close to the data of the missing part, like the data one week ago. For this reason, in this equipment management apparatus, even if there is no data one week ago, it is possible to easily supplement the data while maintaining the reliability.
[0052]
In the equipment control method according to the fifth aspect, when data is missing, the missing part is complemented by using data on another day in the same time zone as the time zone in which the missing part was detected. For this reason, according to this equipment control method, missing data can be easily complemented as compared with a case where various complementing methods are changed due to missing data. In addition, data related to the energy consumption of equipment and equipment tend to have similar values in the same time zone, and the data of the missing part and the complemented data are considered to have similar values. It can be performed.
[0053]
In the equipment management system according to claim 6, when the data is missing, the complementing unit of the equipment management device uses data of another day in the same time zone as the time zone in which the missing part was detected. Fill in missing parts. Therefore, compared with the case where various complementing methods are used in accordance with the number of missing data, the missing data can be easily complemented. In addition, there are many data on the energy consumption of the equipment that tend to be close in the same time zone, and the data of the missing part and the complemented data are considered to be close to each other. It can be performed.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of an equipment management system.
FIG. 2 is a block diagram showing a configuration of a management device.
FIG. 3 is a graph showing determination of generation of a required control rate.
FIG. 4 is a table showing a control method switching condition M3.
FIG. 5 is a table showing an executable control list.
FIG. 6 is a view showing a limit period input screen.
FIG. 7 is a diagram showing an example of a schedule created by the management device.
FIG. 8 is a procedure flow until energy saving control is performed.
FIG. 9A is a demand curve on a data missing day.
(B) Demand curve of the day before one week before the data missing date.
FIG. 10 is a procedure flow when calculating an integrated electric energy.
[Explanation of symbols]
1 equipment management system 3 air conditioner (equipment)
4 control device 6 management device (facility equipment management device)
60 Integrated power amount calculation unit (complementary unit)
64 Execution control decision unit (judgment unit)
S5 First step S12 Second step

Claims (6)

An equipment management device (6) for managing energy saving control of the equipment (3),
A judging unit (64) for judging the energy saving control to be performed based on data on the energy consumption of the equipment (3) detected in time series;
When there is a missing portion (600) in the data, the missing portion (600) is complemented by using data (601) of another day in the same time zone as the time zone in which the missing portion (600) is detected. A complementer (60);
An equipment management device (6) comprising: The complementing section (60) complements the missing portion (600) with data (601) of a day one week before the same time zone as the time zone in which the missing portion (600) was detected,
The equipment management device (6) according to claim 1. The complementing section (60) further complements the missing portion (600) using manually input data.
The equipment management device (6) according to claim 1 or 2. If there is no data of the day one week before the time zone in which the missing part (600) is detected, the complementing unit (60) temporarily uses the manually input temporary data. After complementing, the missing part is complemented by data of a day one week later in the same time zone as the time zone in which the missing part was detected,
The equipment management device (6) according to claim 2. An equipment control method for managing energy saving control of equipment (3),
A first step (S5) of determining the energy saving control to be performed based on data on the energy consumption of the equipment (3) detected in time series;
A second step of supplementing the missing part using data (601) of another day in the same time zone as the time zone in which the missing part (600) is detected when the data has a missing part (600). (S12),
An equipment control method comprising: Equipment (3),
A control device (4) for controlling the equipment;
The equipment management device (6) according to any one of claims 1 to 4, which is connected to the control device (4) and manages the equipment (3).
An equipment management system (1) comprising:

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