JP2015035883A - Consumption power amount prediction system, consumption power amount prediction device, consumption power amount prediction method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately predict an amount of consumption power.SOLUTION: An individual consumption power measurement unit 11 measures power individually consumed by a plurality of electrical apparatuses. A consumed power amount acquisition unit 12 acquires an amount of power consumed by the plurality of electrical apparatuses from a start time to the current time. A representative value information acquisition unit 14 acquires representative value information showing a representative value of power individually consumed by the plurality of electrical apparatuses for respective driving states. A consumption schedule power amount acquisition unit 15 acquires an amount of power which is scheduled to be consumed by the plurality of electrical apparatuses from the current time to an end time on the basis of the representative value information and information showing a schedule. A consumption power amount prediction value acquisition unit 16 acquires a prediction value by counting up the amount of power acquired by the consumed power amount acquisition unit 12 and the amount of power acquired by the consumption schedule power amount acquisition unit 15.

Description

  The present invention relates to a power consumption prediction system, a power consumption prediction device, a power consumption prediction method, and a program.

  Electricity charges paid to electric power companies by electric power users are generally composed of basic charges determined according to contracted power and used energy charges determined according to the actual amount of power used. . Here, the maximum value in one month of average power consumption in 30-minute units is the maximum demand power (demand value) of the month. When the maximum power demand exceeds the contract power, the contract power is updated with the maximum power demand or a penalty is generated. Therefore, it is important for the user to prevent the maximum demand power from exceeding the contract power in order to reduce costs.

  Currently, various techniques are known for preventing the maximum power demand from exceeding contract power. For example, Patent Document 1 discloses a demand control method for predicting power consumption based on a measured value of total power consumption of a plurality of loads and performing demand control based on the predicted power consumption.

Japanese Patent Laid-Open No. 2003-070162

  In order to realize accurate demand control, it is important to accurately predict power consumption. However, in the demand control method disclosed in Patent Document 1, the power consumption is predicted based on the total power consumed by the plurality of loads, not the power consumed by the plurality of loads individually. Cannot be predicted with high accuracy. Therefore, a technique capable of accurately predicting power consumption is desired.

  The present invention has been made in view of such a situation, and a power consumption prediction system, a power consumption prediction device, a power consumption prediction method, and a program capable of accurately predicting the power consumption. The purpose is to provide.

In order to achieve the above object, a power consumption prediction system according to the first aspect of the present invention includes:
Individual power consumption measuring means for measuring the power consumed individually by each of a plurality of electrical devices,
Based on the value of power measured by the individual power consumption measuring means, the consumed power amount acquiring means for acquiring the amount of power consumed by the plurality of electrical devices from the start time to the current time;
Based on the value of the power measured by the individual power consumption measuring means and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition means for acquiring representative value information shown for each driving state;
Based on the representative value information acquired by the representative value information acquisition means and the information indicating the schedule, the amount of electric power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. A means for acquiring planned power consumption;
By summing the amount of power acquired by the consumed power amount acquisition unit and the amount of power acquired by the scheduled consumption amount of energy acquisition unit, the plurality of electrical devices can perform a period from the start time to the end time. Power consumption predicted value acquisition means for acquiring a predicted value of the amount of power consumed in
It is characterized by that.

  When the scheduled power consumption acquisition unit is scheduled to be in a specific operating state between the current time and the end time, the specific electric device of the plurality of electric devices is Based on the representative value of the power measured by the individual power consumption measuring means when the electrical device is in the specific operation state, the amount of power scheduled to be consumed by the specific electrical device may be acquired.

  When the scheduled power consumption acquisition unit is scheduled to be in a specific operating state between the current time and the end time, the specific electric device of the plurality of electric devices is Obtains the amount of power scheduled to be consumed by the specific electrical device based on the representative value of the power measured by the individual power consumption measuring means when the same type of electrical device as the electrical device is in the specific operating state May be.

  In addition to the representative value of the power, the planned consumption power amount acquisition unit may acquire the power amount scheduled to be consumed by the specific electrical device based on a difference in operating conditions.

  Warning means for issuing a warning when the predicted value acquired by the predicted power consumption value acquiring means exceeds a threshold value may be further provided.

When the predicted value acquired by the predicted power consumption value acquisition means exceeds a threshold value, the specifying means for specifying at least one electrical device recommended to change the operating state among the plurality of electrical devices; ,
It may further comprise presentation means for presenting information specifying at least one electrical device identified by the identifying means.

When the predicted value acquired by the predicted power consumption value acquisition means exceeds a threshold value, the specifying means for specifying at least one electrical device recommended to change the operating state among the plurality of electrical devices; ,
You may further provide the change means which changes the driving | running state of the at least 1 electric equipment which the said specific means specified to the driving | running state in which power consumption is lower than the present driving | running state.

  When the predicted value acquired by the power consumption predicted value acquisition unit exceeds a threshold, the specifying unit is configured to operate among the plurality of electrical devices based on the representative value information and information indicating the schedule. One electrical device that is recommended to change state may be identified.

  When the predicted value acquired by the power consumption predicted value acquisition unit exceeds a threshold, the specifying unit is recommended to change an operating state among the plurality of electrical devices, and is determined in advance. One electric device may be specified.

In order to achieve the above object, a power consumption prediction apparatus according to the second aspect of the present invention provides:
The power consumed by the plurality of electrical devices from the start time to the current time based on the power value measured by the individual power consumption measuring device that measures the power consumed individually by each of the plurality of electrical devices. Power consumption acquisition means for acquiring the amount;
Based on the value of the power measured by the individual power consumption measuring device and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition means for acquiring representative value information shown for each driving state;
Based on the representative value information acquired by the representative value information acquisition means and the information indicating the schedule, the amount of electric power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. A means for acquiring planned power consumption;
By summing the amount of power acquired by the consumed power amount acquisition unit and the amount of power acquired by the scheduled consumption amount of energy acquisition unit, the plurality of electrical devices can perform a period from the start time to the end time. Power consumption predicted value acquisition means for acquiring a predicted value of the amount of power consumed in
It is characterized by that.

In order to achieve the above object, a power consumption prediction method according to a third aspect of the present invention includes:
An individual power consumption measuring step for measuring the power consumed individually by each of the plurality of electrical devices;
Based on the value of power measured in the individual power consumption measurement step, a consumed power amount acquisition step for acquiring the amount of power consumed by the plurality of electrical devices from the start time to the current time;
Based on the value of the power measured in the individual power consumption measurement step and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition step for acquiring representative value information shown for each driving state;
Based on the representative value information acquired in the representative value information acquisition step and the information indicating the schedule, the amount of power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. A planned power consumption acquisition step;
By summing the amount of power acquired in the consumed power amount acquisition step and the amount of power acquired in the scheduled power consumption amount acquisition step, the plurality of electrical devices can be connected between the start time and the end time. A power consumption predicted value acquisition step of acquiring a predicted value of the amount of power consumed by
It is characterized by that.

In order to achieve the above object, a program according to the fourth aspect of the present invention provides:
A computer connected to an individual power consumption measuring device that measures the power consumed individually by each of a plurality of electrical devices,
Based on the value of the power measured by the individual power consumption measuring device, the consumed electric energy acquisition means for acquiring the electric energy consumed by the plurality of electrical devices from the start time to the current time,
Based on the value of the power measured by the individual power consumption measuring device and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition means for acquiring representative value information shown for each driving state;
Based on the representative value information acquired by the representative value information acquisition means and the information indicating the schedule, the amount of electric power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. Means for obtaining planned power consumption,
By summing the amount of power acquired by the consumed power amount acquisition unit and the amount of power acquired by the scheduled consumption amount of energy acquisition unit, the plurality of electrical devices can perform a period from the start time to the end time. Function as a power consumption predicted value acquisition means for acquiring a predicted value of power consumption
It is characterized by that.

  According to the present invention, power consumption can be predicted with high accuracy.

It is a block diagram which shows the structure of the power consumption amount prediction system which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the structure of the power consumption amount prediction apparatus which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the structure of an electric power measuring device. It is a figure for demonstrating the function of the power consumption prediction system which concerns on the 1st Embodiment of this invention. It is a graph which shows the relationship between time and the electric power which one electric equipment consumes. It is a figure which shows schedule information. It is a figure which shows representative value information. It is a figure which shows consumed electric energy information. It is a figure which shows consumption electric energy information. It is a graph which shows the relationship between the elapsed time from start time, and electric energy. It is a flowchart which shows the power consumption amount prediction process which the power consumption amount prediction apparatus which concerns on the 1st Embodiment of this invention performs. It is a figure which shows a warning screen. It is a figure which shows a detailed screen. It is a figure which shows material schedule information. It is a figure which shows adjustment rate information. It is a figure which shows product schedule information. It is a figure which shows profit rate information. It is a figure for demonstrating the function of the power consumption prediction system which concerns on the 4th Embodiment of this invention.

  Hereinafter, a power consumption prediction system according to an embodiment of the present invention will be described with reference to the drawings.

(First embodiment)
First, the configuration of the power consumption prediction system 1000 according to the present embodiment will be described with reference to FIG. The power consumption prediction system 1000 predicts the power consumption per unit time (typically 30 minutes) of the power consumption predicted system 2000, and the predicted power consumption is a threshold (typically a contract). It is a system that issues a warning when the amount of power is exceeded.

  The power consumption prediction system to which the present invention is applied is not limited to the power consumption prediction system 1000 shown in FIG. For example, the present invention may be applied to a system in which various devices are appropriately incorporated in the power consumption prediction system 1000, or a system in which various devices are appropriately excluded from the power consumption prediction system 1000. The present invention may be applied. Further, the number of devices included in the power consumption prediction system 1000 is not limited to the example illustrated in FIG.

  As shown in FIG. 1, the power consumption prediction system 1000 includes a power consumption prediction device 100, a power measurement device 210, a power measurement device 220, a power measurement device 230, and a telecommunications network 300. The power consumption prediction system 1000 is a system that monitors the amount of power consumed by the power consumption predicted system 2000. The power consumption prediction system 2000 includes an electric device 410, an electric device 420, an electric device 430, and a cubicle 500.

  The power consumption prediction apparatus 100 has a period (hereinafter referred to as “integration period”) from a time when power integration starts (hereinafter referred to as “start time”) to a time when power integration ends (hereinafter referred to as “end time”). The process for predicting the amount of power consumed by the predicted power consumption system 2000 is repeated from the start time to the end time. Note that the cubicle 500 will be described as not consuming power.

  In the present embodiment, the integration period is a period for which the average power to be compared with the contract power is calculated, and is a period that repeatedly arrives. For example, one integration period is a 30-minute period from X0: 00 to X: 30, or a 30-minute period from X: 30 to ((X + 1)% 24) 0:00. However, X is any integer from 0 to 23, and% is a remainder.

  The power measuring device 210 measures the power or the amount of power consumed by the electric device 410. In addition, the power meter 210 supplies information indicating the measured power or power amount to the power consumption prediction device 100 via the telecommunication network 300. Any method may be used for supplying power or information indicating the amount of power measured by the power meter 210 to the power consumption prediction device 100. For example, the power meter 210 may always supply information indicating the measured power to the power consumption prediction apparatus 100. In this case, the power consumption prediction apparatus 100 can calculate the amount of power consumed within a predetermined time by integrating the power indicated by the supplied information for a predetermined time.

  Alternatively, for example, every time a predetermined time elapses, the power measuring device 210 calculates the amount of power consumed by the electric device 410 during this predetermined time, and supplies information indicating the calculated power amount to the power consumption amount prediction apparatus 100. May be. In this case, a reduction in traffic in the telecommunications network 300 and a reduction in processing load in the power consumption prediction apparatus 100 can be expected. In the present embodiment, the power meter 210 calculates the amount of power consumed by the electric device 410 every minute for 1 minute, and supplies the power consumption amount prediction apparatus 100 with information indicating the calculated amount of power. It will be described as being.

  The power meter 220 measures the power or the amount of power consumed by the electric device 420. In addition, the power meter 220 supplies the measured power or information indicating the power amount to the power consumption prediction device 100 via the telecommunication network 300. The configuration of the power meter 220 is the same as that of the power meter 210.

  The power meter 230 measures the power or the amount of power consumed by the electrical device 430. In addition, the power meter 230 supplies information indicating the measured power or power amount to the power consumption prediction device 100 via the telecommunication network 300. The configuration of the power meter 230 is the same as that of the power meter 210. Hereinafter, the power measuring device 210, the power measuring device 220, and the power measuring device 230 are collectively referred to as a power measuring device 200 as appropriate.

  The telecommunication network 300 connects the power consumption prediction device 100, the power measuring device 210, the power measuring device 220, and the power measuring device 230 to each other by wireless communication or wired communication.

  Each of electric device 410, electric device 420, and electric device 430 is a device that uses power supplied from cubicle 500 as a power source. Each of the electric device 410, the electric device 420, and the electric device 430 is, for example, a lighting device, an air conditioning device, a printing device, an information processing apparatus, or the like. Hereinafter, the electric device 410, the electric device 420, and the electric device 430 are collectively referred to as the electric device 400 as appropriate.

  The cubicle 500 converts high voltage power supplied from a power plant or substation into low voltage power that can be used by each of the electric device 410, the electric device 420, and the electric device 430. The cubicle 500 supplies low-voltage power obtained by the conversion to each of the electric device 410, the electric device 420, and the electric device 430.

  Next, a physical configuration of the power consumption prediction apparatus 100 will be described with reference to FIG. As shown in FIG. 2, a power consumption prediction apparatus 100 includes a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, an RTC (Real Time Clock) 104, an NIC (Netork Interface). Card) 105, an audio processing unit 106, an operation unit 108, a hard disk 109, and an image processing unit 110. These components included in the power consumption prediction apparatus 100 are connected to each other by a bus 120.

  The CPU 101 controls the overall operation of the power consumption prediction apparatus 100. Note that the CPU 101 operates according to a program stored in the ROM 102 and uses the RAM 103 as a work area.

  The ROM 102 stores a program and data for controlling the overall operation of the power consumption amount prediction apparatus 100.

  The RAM 103 functions as a work area for the CPU 101. That is, the CPU 101 temporarily writes programs and data in the RAM 103 and refers to these programs and data as appropriate.

  The RTC 104 is a timekeeping device including a crystal resonator and an oscillation circuit. The RTC 104 is supplied with power from the built-in battery, and continues to operate even when the power consumption prediction apparatus 100 is powered off.

  The NIC 105 is an interface for connecting the power consumption predicting apparatus 100 to the power measuring device 200 via a telecommunication network. The NIC 105 includes, for example, an interface (not shown) conforming to the 10BASE-T / 100BASE-T standard used when configuring a LAN (Local Area Network). Alternatively, the NIC 105 uses an analog modem, an ISDN (Integrated Services Digital Network) modem, an ADSL (Asymmetric Digital Subscriber Line Modem) modem, and a cable television line to connect to the telecommunications network 300 using a telephone line. A cable modem or the like for connecting to the network 300 and an interface (not shown) for mediating between the CPU 101 are included.

  The audio processing unit 106 converts the digital audio signal supplied from the CPU 101 into an analog audio signal and supplies the analog audio signal to the speaker 107. The audio processing unit 106 includes a D / A (Digital / Analog) converter, an equalizer, an amplifier, and the like. On the other hand, the speaker 107 outputs sound according to the analog audio signal supplied from the sound processing unit 106.

  The operation unit 108 includes buttons, keys, levers, volume switches, and the like. The operation unit 108 generates a signal based on the operation received by a button, key, lever, volume switch, or the like, and supplies the signal to the CPU 101.

  The hard disk 109 stores various information such as schedule information, representative value information, consumed electric energy information, planned consumed electric energy information, material schedule information, adjustment rate information, product schedule information, and profit rate information. The power consumption prediction apparatus 100 may include a DVD drive in which a DVD-ROM (Digital Versatile Disk-Read Only Memory) storing these various types of information is mounted instead of the hard disk 109. In addition, the power consumption prediction apparatus 100 may include a flash memory or the like instead of the hard disk 109.

  The image processing unit 110 generates an image signal representing an image to be displayed on the display device 111 under the control of the CPU 101. The image processing unit 110 supplies the generated image signal to the display device 111. On the other hand, the display device 111 displays an image based on the image signal supplied from the image processing unit 110. The display device 111 is an LCD (Liquid Crystal Display) or the like.

  Next, the physical configuration of the power measuring device 200 will be described with reference to FIG. As shown in FIG. 3, the power meter 200 includes a CPU 201, ROM 202, RAM 203, RTC 204, NIC 205, flash memory 206, current input unit 207, voltage input unit 208, and integration unit 209. These components included in the power meter 200 are connected to each other by a bus 240.

  The CPU 201 controls the overall operation of the power meter 200. The CPU 201 operates according to a program stored in the ROM 202, for example, and uses the RAM 203 as a work area.

  The ROM 202 stores programs and data for controlling the overall operation of the power meter 200.

  The RAM 203 functions as a work area for the CPU 201. That is, the CPU 201 temporarily writes programs and data in the RAM 203 and refers to these programs and data as appropriate.

  The RTC 204 is a timekeeping device including a crystal resonator and an oscillation circuit. The RTC 204 is supplied with power from the built-in battery, and continues to operate even when the power meter 200 is powered off.

  The NIC 205 is an interface for connecting the power measuring device 200 to the power consumption prediction device 100 via the telecommunications network 300. The configuration of the NIC 205 is the same as that of the NIC 105.

  The flash memory 206 stores information indicating power measurement conditions, information indicating measured power or power amount, and the like.

  The current input unit 207 measures the magnitude of the current supplied to the electric device 400 and supplies a current value indicating the measured current magnitude to the integrating unit 209. The current input unit 207 is configured by a clamp-type ammeter, for example.

  The voltage input unit 208 measures the magnitude of the voltage supplied to the electric device 400 and supplies a voltage value indicating the measured voltage magnitude to the integrating unit 209.

  The accumulating unit 209 includes a multiplier and an integrator. The multiplier multiplies the current value supplied from the current input unit 207 by the voltage value supplied from the voltage input unit 208 to obtain the value of power consumed by the electric device 400. The integrator obtains the amount of power consumed by the electric device 400 in a predetermined period (for example, the latest one second) by integrating the power value obtained by the multiplier with the time based on the time information output by the RTC 204. . Note that the information indicating the amount of power obtained by the integration unit 209 is supplied to the power consumption amount prediction apparatus 100 by the NIC 205 that operates according to the control of the CPU 201 every second, for example.

  Next, basic functions of the power consumption prediction system 1000 according to the present embodiment will be described with reference to FIG. As shown in FIG. 4, the power consumption prediction system 1000 functionally includes an individual power consumption measurement unit 11, a consumed power amount acquisition unit 12, a schedule information storage unit 13, a representative value information acquisition unit 14, and a consumption schedule. A power amount acquisition unit 15, a power consumption amount predicted value acquisition unit 16, a warning unit 17, a specification unit 18, and a presentation unit 19 are provided.

  The individual power consumption measuring unit 11 measures the power consumed by each of the plurality of electric devices 400 (electric device 410, electric device 420, electric device 430). Here, the power measured by the individual power consumption measuring unit 11 may be an instantaneous value of power in units of watts (W) or kilowatts (kW), or watt seconds (W · s) or kilowatt hours (kWh). ) As a unit (that is, average power per unit time). The individual power consumption measuring unit 11 includes, for example, a power measuring device 200.

  Based on the power value measured by the individual power consumption measurement unit 11, the consumed power amount acquisition unit 12 consumes power consumed by the plurality of electrical devices 400 from the start time to the current time (hereinafter “consumed power consumption”). Get the amount.) The consumed power amount acquisition unit 12 includes, for example, a CPU 101, an RTC 104, and a NIC 105.

  The schedule information storage unit 13 stores information (hereinafter referred to as “schedule information”) indicating a schedule of operation states of the plurality of electric devices 400. The schedule information storage unit 13 includes a hard disk 109, for example.

  Based on the power value measured by the individual power consumption measurement unit 11 and the schedule information, the representative value information acquisition unit 14 determines the representative value of power consumed individually by each of the plurality of electrical devices 400 for each operating state. The representative value information shown is acquired. The representative value is, for example, the latest value, average value, maximum value, minimum value, or the like. The representative value information acquisition unit 14 includes, for example, a CPU 101, an RTC 104, and a NIC 105.

  The scheduled power consumption acquisition unit 15 is scheduled to be consumed by the plurality of electrical devices 400 from the current time to the end time based on the representative value information acquired by the representative value information acquisition unit 14 and the schedule information. Get the amount of power. The scheduled power consumption acquisition unit 15 includes, for example, a CPU 101, an RTC 104, and a NIC 105.

  The predicted power consumption value acquisition unit 16 sums the consumed power amount acquired by the consumed power amount acquisition unit 12 and the scheduled consumption power amount acquired by the scheduled consumption power amount acquisition unit 15 to obtain a plurality of power consumption amounts. The predicted value of the amount of power consumed by the electric device 400 from the start time to the end time is acquired. The power consumption predicted value acquisition unit 16 includes, for example, a CPU 101.

  Here, the scheduled power consumption acquisition unit 15 uses the same electric power when the specific electric device of the plurality of electric devices 400 is scheduled to enter a specific operation state from the current time to the end time. Based on the representative value of the power measured by the individual power consumption measuring unit 11 when the device is in the same operation state, the amount of power scheduled to be consumed by the specific electric device can be acquired.

  Alternatively, the scheduled power consumption acquisition unit 15 may be of the same type when a specific electric device of the plurality of electric devices 400 is scheduled to be in a specific operation state between the current time and the end time. Based on the representative value of the power measured by the individual power consumption measurement unit 11 when the electrical device is in the same operation state, the amount of power scheduled to be consumed by the specific electrical device can be acquired.

  In addition to the representative value of power, the planned consumption power amount acquisition unit 15 further acquires the power amount scheduled to be consumed by a specific electrical device among the plurality of electrical devices 400 based on the difference in operating conditions. May be.

  The warning unit 17 issues a warning when the predicted value acquired by the power consumption predicted value acquisition unit 16 exceeds the threshold value. The warning unit 17 includes, for example, a CPU 101, an audio processing unit 106, and a speaker 107. Alternatively, the warning unit 17 includes a CPU 101, an image processing unit 110, and a display device 111.

  When the predicted value acquired by the predicted power consumption value acquisition unit 16 exceeds the threshold, the specifying unit 18 selects at least one electrical device that is recommended to change the operation state among the plurality of electrical devices 400. Identify. For example, the specifying unit 18 specifies at least one electric device 400 recommended to change the operating state based on the representative value information and the schedule information. The specifying unit 18 includes a CPU 101, for example.

  The presenting unit 19 presents information that clearly specifies at least one electric device 400 identified by the identifying unit 18. The presentation unit 19 includes, for example, a CPU 101, an audio processing unit 106, and a speaker 107. Alternatively, the presentation unit 19 includes a CPU 101, an image processing unit 110, and a display device 111.

  Next, schedule information will be described with reference to FIGS.

  FIG. 5 is a graph showing the relationship between time and power consumed by one electrical device 400 (for example, electrical device 410). As shown in FIG. 5, the electric power consumed by one electrical device 400 is generally a magnitude corresponding to the operating state. That is, if the operating state of one electrical device 400 is known, the amount of power consumed by this one electrical device 400 can be determined. The operation state is, for example, a stop state, a standby state, a setup state, or a main work state.

  The stop state is a state in which the electric device 400 is not turned on and consumes little power. The standby state is a state in which the electric device 400 is waiting for an instruction from the user and consumes a certain amount of power. The setup state is a state in which the electric device 400 is preparing for the main work in accordance with an instruction from the user, and is a state that consumes more power than in the standby state. This work state is a state in which the electric device 400 is performing a target operation, and is a state that consumes more power than the setup state. In addition, even if it is the same driving | running state, the electric power consumed may change with progress of time. However, the consumed electric power largely depends on the operating state. Note that which electrical device 400 is in which operating state at which time is indicated by schedule information described later.

  FIG. 6 is a diagram showing schedule information. FIG. 6 shows an example in which the schedule information includes device-specific schedule information 601, device-specific schedule information 602, and device-specific schedule information 603. The device-specific schedule information 601 is information indicating the operation state of the electric device 410, the device-specific schedule information 602 is information indicating the operation state of the electric device 420, and the device-specific schedule information 603 is an operation of the electric device 430. This is information indicating the state.

  The device-specific schedule information 601 is information indicating the switching time of the operating state of the electric device 410 and the operating state after switching in order from the earliest switching time. Similarly, the device-specific schedule information 602 is information indicating the switching time of the operation state of the electric device 420 and the operation state after switching in order from the earliest switching time. Similarly, the device-specific schedule information 603 is information indicating the switching time of the operating state of the electrical device 430 and the operating state after switching in order from the earliest switching time.

  Next, the representative value information will be described with reference to FIG.

  The representative value information is information indicating a representative value of power actually consumed when a certain electric device 400 is in a certain operation state. FIG. 7 shows an example in which the representative value information is configured by device-specific representative value information 701, device-specific representative value information 702, and device-specific representative value information 703. The device-specific representative value information 701 is information indicating the representative value of power consumption of the electric device 410, and the device-specific representative value information 702 is information indicating the representative value of power consumption of the electric device 420, and the device-specific representative value. Information 703 is information indicating a representative value of power consumption of the electric device 430.

  The device-specific representative value information 701 is information indicating the operation state of the electric device 410 and the representative value of the power consumed in this operation state for each operation state. Similarly, the device-specific representative value information 702 is information indicating the operation state of the electric device 420 and the representative value of the power consumed in this operation state for each operation state. The device-specific representative value information 703 is information indicating the operation state of the electric device 430 and the representative value of the power consumed in this operation state for each operation state.

  Next, the consumed power amount information will be described with reference to FIG.

  The consumed power amount information is information indicating the consumed power amount for each electric device 400 and for each time zone. This time zone is a time zone obtained by dividing the start time to the current time every minute. FIG. 8 shows an example in which the consumed power amount information is configured by device-by-device consumed power amount information 801, device-by-device consumed power amount information 802, and device-by-device consumed power amount information 803. The device-by-device consumed power amount information 801 is information indicating the amount of power consumed by the electrical device 410, and the device-by-device consumed power amount information 802 is information indicating the amount of power consumed by the electrical device 420. The device-specific consumed power amount information 803 is information indicating the amount of power consumed by the electrical device 430.

  The device-by-device consumed power amount information 801 is information indicating the amount of power consumed by the electrical device 410 for each time period obtained by dividing the start time to the current time every minute. Similarly, the device-by-device consumed power amount information 802 is information indicating the amount of power consumed by the electrical device 420 for each time period obtained by dividing the start time to the current time every minute. Similarly, the device-by-device consumed power amount information 803 is information indicating the amount of power consumed by the electrical device 430 for each time period obtained by dividing the start time to the current time every minute. FIG. 8 shows an example in which the elapsed time from the start time is associated with the amount of power consumed in one minute immediately before the time indicated by this elapsed time. That is, FIG. 8 shows an example in which the time zone is specified by the elapsed time from the start time.

  Next, the scheduled power consumption information will be described with reference to FIG.

  The scheduled power consumption information is information indicating the scheduled power consumption for each electric device 400 and each time zone. Note that this time zone is a time zone obtained by dividing the current time to the end time every minute. FIG. 9 shows an example in which the scheduled power consumption information is configured by device-by-device planned power consumption information 901, device-by-device planned power consumption information 902, and device-by-device planned power consumption information 903. The device-specific scheduled power consumption information 901 is information indicating the amount of power scheduled to be consumed by the electric device 410, and the device-specific planned power consumption information 902 indicates the power amount scheduled to be consumed by the electric device 420. This is information, and the device-specific scheduled power consumption information 903 is information indicating the amount of power scheduled to be consumed by the electrical device 430.

  The device-specific scheduled power consumption information 901 is information indicating the amount of power scheduled to be consumed by the electrical device 410 for each time period obtained by dividing the current time to the end time every minute. Similarly, the device-specific scheduled power consumption information 902 is information indicating the amount of power scheduled to be consumed by the electrical device 420 for each time period obtained by dividing the current time to the end time every minute. Similarly, the device-specific scheduled power consumption information 903 is information indicating the amount of power scheduled to be consumed by the electrical device 430 for each time period obtained by dividing the current time to the end time every minute. FIG. 9 shows an example in which the elapsed time from the start time is associated with the amount of power scheduled to be consumed for one minute immediately before the time indicated by this elapsed time. That is, FIG. 9 shows an example in which the time zone is specified by the elapsed time from the start time.

  Next, with reference to FIG. 10, an outline of the power consumption amount prediction process executed by the power consumption amount prediction apparatus 100 according to the present embodiment will be described.

  FIG. 10 is a graph showing the relationship between the elapsed time from the start time and the amount of power. The solid line in the graph shown in FIG. 10 indicates that the total amount of power consumed by all the electric devices 400 (electric device 410, electric device 420, electric device 430) from the start time to the current time increases with time. Shows how it was done. On the other hand, the broken line in the graph shown in FIG. 10 indicates that the total amount of power scheduled to be consumed by all the electric devices 400 (electric device 410, electric device 420, electric device 430) from the current time to the end time is It shows how it increases over time.

  Here, the predicted value of the amount of power consumed from the start time to the end time is consumed by all the electric devices 400 (electric device 410, electric device 420, electric device 430) from the start time to the end time. The total amount of power to be The predicted value is the sum of the consumed power amount at the current time and the scheduled power consumption at the current time. The consumed electric energy at the current time is the total electric energy already consumed by all the electric devices 400 (electric device 410, electric device 420, electric device 430) from the start time to the current time. The scheduled power consumption is the total power consumption scheduled to be consumed by all the electric devices 400 (electric device 410, electric device 420, electric device 430) between the current time and the end time.

  FIG. 10 clearly shows whether the predicted value, that is, the total power amount at the end time exceeds the threshold value. This threshold value can be adjusted as appropriate. FIG. 10 shows the electric power represented by the product of the electric energy corresponding to the first alarm, the electric energy corresponding to the second alarm, the electric energy corresponding to the third alarm, and the contract electric power and the integration period. The figure shows a state in which four electric energy amounts (hereinafter referred to as “contract electric energy amounts”) are set as threshold values.

  The amount of power corresponding to the first alarm can be, for example, 70% of the contract power amount. The amount of power corresponding to the second alarm can be, for example, 80% of the contract power amount. The amount of power corresponding to the third alarm can be, for example, 90% of the contract power amount.

  FIG. 10 shows a state in which the predicted value exceeds the amount of power corresponding to the first alarm and does not exceed the amount of power corresponding to the second alarm. In this case, the power consumption prediction apparatus 100 can issue a first alarm.

  Next, a power consumption amount prediction process executed by the power consumption amount prediction apparatus 100 according to the present embodiment will be described with reference to the flowchart shown in FIG. Note that the power consumption prediction apparatus 100 executes a power consumption prediction process while the power is on.

  First, the CPU 101 acquires the current time (step S101). Specifically, the CPU 101 refers to the time information output from the RTC 104 and acquires the current time. The CPU 101 stores current time information indicating the current time in the RAM 103.

  When completing the process in step S101, the CPU 101 determines whether or not the current time indicated by the current time information stored in the RAM 103 is a check time (step S102). How to set the check time can be appropriately adjusted. In the present embodiment, the description will be made assuming that the check time is the time at which the minute value in the hour, minute, and second switches, and the time that arrives every minute.

  If the CPU 101 determines that the current time is not the check time (step S102: NO), it returns the process to step S101.

  On the other hand, when determining that the current time is the check time (step S102: YES), the CPU 101 determines whether or not the current time is the start time (step S103). The start time is the time when the minute value in the hour, minute, and second switches to 00 or 30, and is the start time of the integration period. Note that the start time of the integration period of interest is equal to the end time of the integration period immediately before the integration period of interest.

  When determining that the current time is the start time (step S103: YES), the CPU 101 executes an initialization process (step S104). For example, the CPU 101 clears consumed power amount information, scheduled power consumption information, and the like stored in the RAM 103.

  When the CPU 101 determines that the current time is not the start time (step S103: NO), or completes the process of step S104, the CPU 101 measures the power consumption of all the electrical devices (step S105). For example, the CPU 101 controls the NIC 105 to receive the amount of power consumed by the electric device 410 in the last minute from the power measuring device 210 and the amount of power consumed by the electric device 420 in the last minute from the power measuring device 220. The power amount received by the electric device 430 in the last minute is received from the power meter 230.

  CPU101 will update representative value information, if the process of step S105 is completed (step S106). For example, the CPU 101 receives the current time specifying the elapsed time from the start time, schedule information, the amount of power received from the power meter 210, the amount of power received from the power meter 220, and the power meter 230. The representative value information stored in the RAM 103 is updated based on the power amount.

  Specifically, the CPU 101, based on current time information and schedule information stored in the RAM 103, the current operation state of the electric device 410, the current operation state of the electric device 420, and the electric device 430. Identify the current operating state of the. Then, the CPU 101 updates the representative value information stored in the RAM 103 so that the current operation state of the identified electric device 410 is associated with the amount of power received from the power meter 210. In addition, the CPU 101 updates the representative value information stored in the RAM 103 so that the current operation state of the identified electrical device 420 is associated with the amount of power received from the power measuring device 220. In addition, the CPU 101 updates the representative value information stored in the RAM 103 so that the power amount received from the power measuring device 230 is associated with the current operating state of the identified electrical device 430.

  When completing the process in step S106, the CPU 101 calculates the consumed power amount (step S107). Specifically, first, the CPU 101 refers to the current time specifying the elapsed time from the start time, the power amount received from the power measuring device 210, the power amount received from the power measuring device 220, and the power measuring device 230. The consumed power amount information stored in the RAM 103 is updated with each of the received power amounts. Then, based on the consumed power amount information stored in the RAM 103, the CPU 101 calculates the total amount of power consumed by the electric device 410 from the start time to the current time, and the electric device 420 from the start time to the current time. The total value of the total amount of power consumed by the electronic device 430 and the total amount of power consumed by the electrical device 430 from the start time to the current time is calculated as the consumed power amount and stored in the RAM 103.

  When completing the process in step S107, the CPU 101 calculates a scheduled power consumption amount (step S108). Specifically, first, the CPU 101 updates the scheduled power consumption information stored in the RAM 103 based on the schedule information stored in the RAM 103 and the representative value information stored in the RAM 103. Then, based on the scheduled power consumption information stored in the RAM 103, the CPU 101 totals the amount of power scheduled to be consumed by the electrical device 410 from the current time to the end time, and the electrical device 420 ends from the current time. The total value of the total amount of power scheduled to be consumed by the time and the total value of power amount scheduled to be consumed by the electrical device 430 from the current time to the end time is calculated as the scheduled power consumption and stored in the RAM 103. To do.

  CPU101 will calculate a prediction value, if the process of step S108 is completed (step S109). Specifically, the CPU 101 calculates a total value of the consumed power amount stored in the RAM 103 and the scheduled power consumption stored in the RAM 103 as a predicted value, and stores it in the RAM 103.

  CPU101 will discriminate | determine whether the prediction value memorize | stored in RAM103 exceeds a threshold value, if the process of step S109 is completed (step S110). The threshold is, for example, a contract power amount, a power amount obtained by subtracting a predetermined power amount from the contract power amount, and a power amount obtained by multiplying the contract power amount by a predetermined ratio (for example, 50% to 99%).

  When the CPU 101 determines that the predicted value does not exceed the threshold (step S110: NO), the CPU 101 returns the process to step S101. On the other hand, when determining that the predicted value exceeds the threshold (step S110: YES), the CPU 101 specifies at least one electric device 400 (step S111). A plurality of threshold values may be set. In this case, when the predicted value exceeds any of the plurality of threshold values, the process proceeds to step S111, and when the predicted value does not exceed any of the plurality of threshold values, the process proceeds to step S101. Note that the threshold value is stored in the ROM 102, the RAM 103, the hard disk 109, and the like.

  Here, what kind of at least one electric device 400 specified by the CPU 101 can be appropriately adjusted. For example, the CPU 101 has a large total power amount scheduled to be consumed between the current time and the end time among the plurality of electrical devices 400 based on the scheduled power consumption information stored in the RAM 103. A predetermined number of electrical devices 400 can be identified in order. For example, the CPU 101 can specify the electric device 400 until a value obtained by subtracting the total value of the amount of power scheduled to be consumed by the specified electric device 400 from the predicted value is equal to or less than a threshold value.

  When the CPU 101 completes the process of step S111, it displays a warning screen (step S112). For example, the CPU 101 can control the image processing unit 110 to display the warning screen shown in FIG.

  As shown in FIG. 12, the warning screen 1200 includes a total power amount display area 1210, a message display area 1220, a detail button 1230, and an OK button 1240.

  The total power amount display area 1210 shows the relationship between the elapsed time from the start time and the total power amount, and shows how the total amount of power consumed increases from the start time to the current time, This is an area where a graph showing how the total amount of power consumed increases from time to end time with time.

  In the total electric energy display area 1210, the first alarm, the second alarm, the third alarm, the electric energy corresponding to each of the contract electric power, the consumed electric energy at the current time, the scheduled electric energy consumed at the current time, The predicted arrival time to the power amount corresponding to each of the first warning, the second warning, the third warning, and the contract power, the total power amount (predicted value) at the end time, and the like may be displayed.

  The message display area 1220 is an area for displaying warnings and advice. The warning is, for example, a warning that the total power amount may exceed the contracted power amount when the operation according to the current schedule information is continued. The advice is advice relating to measures for preventing the total power amount from exceeding the contracted power amount, for example. For example, it is possible to recommend that the operation state of the specified at least one electric device 400 be stopped by advice.

  The detail button 1230 is a button for accepting an instruction to start displaying a detail screen from the user.

  The OK button 1240 is a button for accepting a display end instruction for the warning screen 1200 from the user.

  Here, the details screen will be described with reference to FIG. As illustrated in FIG. 13, the detail screen 1300 includes a device-specific power display area 1310, a scroll bar 1320, and an OK button 1330.

  The device-specific power display area 1310 displays the transition state of power consumed from the start time to the current time and the power scheduled to be consumed from the current time to the end time for each of the electric devices 400. This is an area where a graph indicating the transition status is displayed. The user refers to the graph displayed in the device-specific power display area 1310, and observes the power consumption history or the power consumption schedule of each of the electric devices 400, thereby making it possible to stop the electric power appropriate for stopping power saving. The device 400 can be selected.

  The scroll bar 1320 receives a scroll operation for scrolling an image displayed in the device-specific power display area 1310 from the user. That is, the user switches the electric device 400 whose graph is displayed in the device-specific power display area 1310 or moves the position of the graph displayed in the device-specific power display area 1310 by scrolling the scroll bar 1320. can do.

  The OK button 1330 is a button for accepting a display end instruction for the detail screen 1300 from the user.

  When the CPU 101 completes the process of step S112, the process returns to step S101.

  In the present embodiment, a predicted value is obtained based on schedule information and representative value information. Therefore, according to the present embodiment, a warning can be appropriately issued based on an accurate predicted value.

  Further, according to the present embodiment, the predicted value can be accurately obtained based on the latest power value (representative value) consumed by the same electrical device 400 in the same operation state. Therefore, according to the present embodiment, a warning can be appropriately issued based on an accurate predicted value. Note that even the same electric device 400 may consume different power depending on operating conditions such as installation location, season, and time zone. Even in such a case, the predicted value can be obtained with high accuracy by using the latest power value as the representative value.

(Second Embodiment)
In the first embodiment, an example in which a representative value of power consumption is defined for each operation state roughly classified into a stop state, a standby state, a setup state, a main work state, and the like has been described. In this invention, after defining the representative value of power consumption for every driving | running state, you may adjust and use a representative value for every driving | running condition. Hereinafter, in this embodiment, an example in which a representative value is adjusted and used for each operating condition will be described.

  Various conditions can be considered as operating conditions. In the present embodiment, an example will be described in which the power consumption varies depending on the type of material used when a product is manufactured using a certain material of the electric device 400.

  FIG. 14 is a diagram showing material schedule information. Material schedule information is information which shows the schedule of the material to be used for every electric equipment 400. FIG. The material schedule information includes device-specific material schedule information 1401 indicating a material schedule used by the electric device 410, device-specific material schedule information 1402 indicating a material schedule used by the electric device 420, and a material used by the electric device 430. Device-specific material schedule information 1403 indicating the schedule of the device.

  The device-specific material schedule information 1401 is information that associates the switching time of the material used by the electrical device 410 with the material used by the electrical device 410 after the switching time. The device-specific material schedule information 1402 is information that associates the switching time of the material used by the electric device 420 with the material used by the electric device 420 after the switching time. The device-specific material schedule information 1403 is information that associates the switching time of the material used by the electrical device 430 with the material used by the electrical device 430 after the switching time.

  FIG. 15 is a diagram showing adjustment rate information. The adjustment rate information is information that defines the adjustment rate of the representative value for each material used by the electric device 400. FIG. 15 shows an example in which the adjustment rate of material A is 100%, the adjustment rate of material B is 150%, and the adjustment rate of material C is 80%. Here, when the material A is used, it is used without adjusting the representative value, and when the material B or the material C is used, it is used after adjusting the representative value.

  For example, when updating the representative value information shown in FIG. 7, if the material A is used, the representative value is updated with the power obtained by the measurement, and if the material B or the material C is used, the measurement is performed. The representative value is updated with a value obtained by multiplying the acquired power by the adjustment rate. The representative value information may be updated only when the material A is used, and the representative value information may not be updated when the material B or the material C is used.

  Further, when calculating the scheduled power consumption information shown in FIG. 9, when the material A is used, the representative value indicated by the representative value information is used as it is, and when the material B or the material C is used, A value obtained by multiplying the representative value indicated by the value information by the adjustment rate is used.

  According to the present embodiment, when calculating the amount of power that is scheduled to be consumed, the approximate amount of power is obtained based on the driving state, and the obtained approximate amount of power is adjusted based on the driving conditions, thereby obtaining accuracy. The amount of power can be obtained well. Therefore, by separately managing the operation state and the operation condition, it is possible to obtain the amount of power that is scheduled to be consumed accurately based on the operation state and the operation condition while suppressing the complexity of the processing.

(Third embodiment)
In the first embodiment, an example has been described in which candidates for the electric device 400 that stops operation are specified in order from the power consumption. In the present invention, the method for specifying the electric device 400 to stop operation can be adjusted as appropriate. For example, in the present invention, the electric device 400 that stops operation may be specified according to a predetermined priority. Note that how the priority is set can be appropriately adjusted. In the present embodiment, an example will be described in which the priority is determined by the profit rate per unit power consumption.

  FIG. 16 is a diagram showing product schedule information. Product schedule information is information which shows the schedule of the product to manufacture for every electric equipment 400. FIG. The product schedule information includes device-specific product schedule information 1601 indicating a schedule of products manufactured by the electric device 410, device-specific product schedule information 1602 indicating a schedule of products manufactured by the electric device 420, and products manufactured by the electric device 430. Product-specific product schedule information 1603 indicating the schedule of the device.

  The device-specific product schedule information 1601 is information that associates the switching time of the product manufactured by the electric device 410 with the product manufactured by the electric device 410 after the switching time. The device-specific product schedule information 1602 is information that associates the switching time of the product manufactured by the electric device 420 with the product manufactured by the electric device 420 after the switching time. The device-specific product schedule information 1603 is information that associates the switching time of the product manufactured by the electrical device 430 with the product manufactured by the electrical device 430 after the switching time.

  FIG. 17 is a diagram showing profit rate information. The profit rate information is information that defines a profit rate per unit power consumption for each product manufactured by the electric device 400. FIG. 17 shows that the profit rate of product A is 100 (10,000 yen / kWh), the profit rate of product B is 80 (10,000 yen / kWh), and the profit rate of product C is 120 (10,000 yen / kWh). In the example, the profit rate of the product D is 90 (10,000 yen / kWh). In this case, products C, A, D, and B are arranged in descending order of profit rate.

  Therefore, for example, when the predicted value exceeds the contracted power amount, first, the electric device 400 that is manufacturing the product B is identified as a candidate of the electric device 400 that stops operation, and then the electric device that is manufacturing the product D 400 is identified as a candidate for the electrical device 400 whose operation is to be stopped, and then the electrical device 400 that is manufacturing the product A is identified as a candidate for the electrical device 400 whose operation is to be stopped.

  According to this embodiment, it is specified as a candidate of the electric device 400 that stops the operation with priority from the one with the low profit rate per unit power consumption. Therefore, according to the present embodiment, even when the total power amount is suppressed in order to prevent an increase in the contract power, the profit can be prevented from being reduced so much.

(Fourth embodiment)
In the first embodiment, the example in which the power consumption prediction system includes the presentation unit 19 has been described. In the present invention, the power consumption prediction system may include the changing unit 20.

  Hereinafter, basic functions of the power consumption prediction system 1100 according to the present embodiment will be described with reference to FIG. 4. The configuration of the power consumption prediction system 1100 is the same as the configuration of the power consumption prediction system 1000 except that the change unit 20 is provided instead of the presentation unit 19. Therefore, in the present embodiment, the changing unit 20 will be mainly described.

  The changing unit 20 changes the operating state of at least one electric device 400 specified by the specifying unit 18 to an operating state in which power consumption is lower than the current operating state. The changing unit 20 includes, for example, a CPU 101, an RTC 104, and a NIC 105.

  The changing unit 20 can appropriately adjust the method for changing the operating state of the electric device 400. For example, the changing unit 20 may directly control the electric device 400 so as to be in an operating state with less power consumption than the current operating state. In this case, the changing unit 20 and the electric device 400 include, for example, a wireless communication unit or a wired communication unit so that they can communicate with each other.

  Or the change part 20 may change the driving | running state of the electric equipment 400 via the control apparatus which can control the driving | running state of the electric equipment 400. FIG. In this case, the changing unit 20 and the control device include, for example, a wireless communication unit or a wired communication unit so that they can communicate with each other. In addition, the electric device 400 and the control device include, for example, a wireless communication unit or a wired communication unit so that they can communicate with each other.

  Here, the method in which the specifying unit 18 specifies at least one electric device 400 recommended to change the operating state is arbitrary. For example, the specifying unit 18 can specify at least one predetermined electric device 400 that is recommended to change the operating state. It is possible to appropriately adjust what kind of electric device 400 is predetermined as the electric device 400 recommended to change the operating state.

  For example, when the electric device 400 is classified into any one of a power device, an air conditioner, and a lighting device, the electric device 400 classified as an air conditioner is preliminarily set as the electric device 400 recommended to change the operation state. It can be determined. The reason is as follows.

  The power device is an electric device 400 that is directly involved in the manufacture of products, such as material conveyance and material processing. Therefore, even if the power consumption of the power equipment is relatively high, it is often not desired to change the operating state of the power equipment.

  In addition, the lighting device is rarely the electric device 400 that is directly involved in the manufacture of the product, but the power consumption is relatively low. Therefore, even if the operating state of the lighting device is changed, the influence on the reduction of the power consumption of the entire system is small.

  On the other hand, an air conditioner is rarely an electric device 400 that is directly involved in the manufacture of products, and consumes relatively high power. Therefore, by changing the operating state of the lighting device, it can be expected that the power consumption of the entire system is reduced while minimizing the influence on the production of the product.

  In addition, in order to reduce power consumption, the method of changing the operation state of an air conditioning apparatus can be adjusted suitably. For example, there are methods such as raising the set temperature during cooling operation, lowering the set temperature during heating operation, starting humidity control instead of temperature control, and starting air blowing control instead of temperature control. Moreover, the change of the operating state of the air conditioner is a temporary measure for reducing power consumption in the current integration period. Therefore, it is sufficient to temporarily change the operating state of the air conditioner until reaching the end time of the current integration period (start time of the next integration period).

  According to the present embodiment, an increase in contract power can be prevented automatically and safely without bothering the operator. Further, according to the present embodiment, the electrical device 400 is specified as a candidate for the electrical device 400 whose operation state is changed with priority from the one that hardly affects the production of the product and has relatively high power consumption. Therefore, according to the present embodiment, even when the total power amount is suppressed in order to prevent an increase in contract power, it is possible to prevent a profit from manufacturing the product from being reduced so much.

(Modification)
The present invention is not limited to the one disclosed in the above embodiment.

  In the first embodiment, an example in which device-specific representative value information is prepared for each of the plurality of electrical devices 400 has been described. In the present invention, representative value information for each device of the same type of electric device 400 may be shared. In this case, among the electric energy measured when the same type of electric device 400 is in the same operation state, the operation conditions such as the season and time zone when the latest electric energy is measured end from the current time. It can be expected that the operating conditions are relatively close to the operating conditions up to the time. This is particularly effective when the amount of power consumed depends on operating conditions such as seasons and time zones rather than individual differences among the electric devices 400.

  In the first embodiment, the example in which the predicted value is obtained based on the latest power consumed by the same electrical device 400 in the same operation state (an example in which the representative value is set to the latest value) has been described. In the present invention, a predicted value may be obtained based on an average value of power consumed by the same electrical device 400 in the same operating state (a representative value may be set as an average value). In this case, for example, every time the same electrical device 400 operates in the same operation state, the average value of consumed power is updated. Even if the power consumption changes while the electrical device 400 operates in the same operation state, for example, when the number of the electrical devices 400 is large, the average value of the power consumption is adopted as appropriate. Can be expected. Moreover, you may obtain | require a predicted value based on the average value of the electric power consumed by the same kind of electric equipment 400 in the same operation state.

  In the second embodiment, an example in which the operating condition is a material has been described. In the present invention, various operating conditions can be adopted. For example, as operating conditions, the operating speed of the electric device 400 (the number of rotations, the moving speed, etc.), the material and size (width, length, thickness) of the material used by the electric device 400, and the operator who operates the electric device 400 (Skill level) can be employed.

  In the first embodiment, the operation state is roughly classified into a stop state, a standby state, a setup state, a main work state, and the like. In the present invention, the operating state may be further subdivided. For example, you may divide | segment each of the said operation state classified roughly into the early stage, the middle stage, and the last stage.

  In the first embodiment, the example in which the electric energy is calculated or managed in units of one minute has been basically described. In the present invention, the time for calculating or managing the electric energy is not limited to this. The time for calculating or managing the electric energy can be appropriately adjusted to, for example, 5 seconds, 10 seconds, 30 seconds, 3 minutes, 5 minutes, 10 minutes, or the like.

  In 1st Embodiment, when the predicted value exceeded a threshold value, the example which shows the message which proposes stopping at least 1 electric equipment 400 was demonstrated. In the present invention, the message to be presented is not limited to a message that proposes to stop the electric device 400. For example, the message to be presented may suggest that the operating state of at least one electrical device 400 be shifted to an operating state with lower power consumption than the current operating state.

  For example, the message to be presented is “Please shift the time to shift the operating state of the electric device 400 being set up to the work state”, “Please make the operating state of the electric device 400 being idled ( "Turn off the power.)", "Make sure that the operating state of the electrical device 400 that is stopped is not supplying power (turn off the breaker)." "Please set the air conditioner to a blower state."

  In the above-described embodiment, an example in which four threshold values, the first alarm, the second alarm, the third alarm, and the contract power amount are set, has been described. In the present invention, any number of threshold values may be set. Note that the threshold value and the number may be determined in advance by the power consumption prediction apparatus 100 or may be set by the user.

  In the third embodiment, the example in which the priority is determined by the profit rate per unit power consumption has been described. In the present invention, how the priority is determined can be appropriately adjusted. For example, in the present invention, the priority may be determined by a profit rate per unit time. In this case, for example, it is desirable that the candidates for the electric device 400 in the operating state with low power consumption be identified in order from the one with the lowest profit rate per unit time.

  Alternatively, the priority may be determined according to the strictness of the delivery date of the product manufactured by the electrical device 400, the number of days to spare, or the like. In this case, for example, the candidates for the electric device 400 that is in an operation state with low power consumption are manufactured in order starting from a product that does not have a strict delivery date, or manufactured from a product that has a margin in the delivery date. It is desirable to select them in order.

  In the first embodiment, an example in which the power consumption amount prediction apparatus 100 includes the CPU 101, the ROM 102, and the RAM 103, and the power consumption amount prediction process is realized by software according to the program stored in the ROM 102 is shown. . However, the power consumption amount prediction process executed by the power consumption amount prediction apparatus 100 is not limited to that realized by software. For example, the power consumption prediction apparatus 100 may be configured by a microcomputer, an FPGA (Field Programmable Gate Array), a PLD (Programmable Logic Device), a DSP (Digital Signal Processor), or the like.

  Note that the power consumption prediction system according to the present invention can be realized by using a normal computer system without using a dedicated system. For example, a computer readable recording such as a flexible disk, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versatile Disk), or a MO (Magnet Optical Disk) is stored in a computer. You may comprise the power consumption prediction system which performs the above-mentioned process by memorize | storing and distributing to a medium and installing this in a computer system. Furthermore, the program may be stored in a disk device or the like included in a server device on the Internet, and may be downloaded onto a computer by being superimposed on a carrier wave, for example.

DESCRIPTION OF SYMBOLS 11 Individual power consumption measurement part 12 Consumed electric energy acquisition part 13 Schedule information storage part 14 Representative value information acquisition part 15 Consumption power consumption acquisition part 16 Power consumption predicted value acquisition part 17 Warning part 18 Identification part 19 Presentation part 20 Change Unit 100 Power Consumption Prediction Device 101 CPU
102 ROM
103 RAM
104 RTC
105 NIC
106 Audio processing unit 107 Speaker 108 Operation unit 109 Hard disk 110 Image processing unit 111 Display device 120 Bus 200, 210, 220, 230 Power measuring device 201 CPU
202 ROM
203 RAM
204 RTC
205 NIC
206 Flash memory 207 Current input unit 208 Voltage input unit 209 Integration unit 240 Bus 300 Electric communication network 400, 410, 420, 430 Electric device 500 Cubicle 601, 602, 603 Device-specific schedule information 701, 702, 703 Device-specific representative value information 801, 802, 803 Device-specific consumed power information 901, 902, 903 Device-specific consumed power information 1000, 1100 Power consumption prediction system 1200 Warning screen 1210 Total power amount display region 1220 Message display region 1230 Details button 1240 OK button 1300 Detailed screen 1310 Device-specific power display area 1320 Scroll bar 1330 OK button 1401, 1402, 1403 Device-specific material schedule information 1601, 1602, 1603 Device-specific product schedule information 000 power consumption the prediction system

Claims (12)

Individual power consumption measuring means for measuring the power consumed individually by each of a plurality of electrical devices,
Based on the value of power measured by the individual power consumption measuring means, the consumed power amount acquiring means for acquiring the amount of power consumed by the plurality of electrical devices from the start time to the current time;
Based on the value of the power measured by the individual power consumption measuring means and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition means for acquiring representative value information shown for each driving state;
Based on the representative value information acquired by the representative value information acquisition means and the information indicating the schedule, the amount of electric power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. A means for acquiring planned power consumption;
By summing the amount of power acquired by the consumed power amount acquisition unit and the amount of power acquired by the scheduled consumption amount of energy acquisition unit, the plurality of electrical devices can perform a period from the start time to the end time. Power consumption predicted value acquisition means for acquiring a predicted value of the amount of power consumed in
A power consumption prediction system characterized by that. When the scheduled power consumption acquisition unit is scheduled to be in a specific operating state between the current time and the end time, the specific electric device of the plurality of electric devices is Based on the representative value of the power measured by the individual power consumption measuring means when the electrical device is in the specific operating state, the amount of power scheduled to be consumed by the specific electrical device is acquired.
The power consumption prediction system according to claim 1. When the scheduled power consumption acquisition unit is scheduled to be in a specific operating state between the current time and the end time, the specific electric device of the plurality of electric devices is Obtains the amount of power scheduled to be consumed by the specific electrical device based on the representative value of the power measured by the individual power consumption measuring means when the same type of electrical device as the electrical device is in the specific operating state To
The power consumption prediction system according to claim 1. In addition to the representative value of the electric power, the planned consumption electric energy acquisition means acquires an electric energy scheduled to be consumed by the specific electric device based on a difference in operating conditions.
The power consumption prediction system according to claim 2 or 3, characterized in that A warning means for issuing a warning when the predicted value acquired by the power consumption predicted value acquisition means exceeds a threshold;
The power consumption prediction system according to any one of claims 1 to 4, wherein When the predicted value acquired by the predicted power consumption value acquisition means exceeds a threshold value, the specifying means for specifying at least one electrical device recommended to change the operating state among the plurality of electrical devices; ,
Presenting means for presenting information specifying at least one electrical device identified by the identifying means;
The power consumption prediction system according to any one of claims 1 to 5, wherein When the predicted value acquired by the predicted power consumption value acquisition means exceeds a threshold value, the specifying means for specifying at least one electrical device recommended to change the operating state among the plurality of electrical devices; ,
Changing means for changing the operating state of at least one electrical device specified by the specifying means to an operating state with lower power consumption than the current operating state;
The power consumption prediction system according to any one of claims 1 to 6, When the predicted value acquired by the power consumption predicted value acquisition unit exceeds a threshold, the specifying unit is configured to operate among the plurality of electrical devices based on the representative value information and information indicating the schedule. Identify one electrical device that is recommended to change state,
The power consumption prediction system according to claim 6 or 7, characterized in that When the predicted value acquired by the power consumption predicted value acquisition unit exceeds a threshold, the specifying unit is recommended to change an operating state among the plurality of electrical devices, and is determined in advance. Identify one electrical device,
The power consumption prediction system according to claim 6 or 7, characterized in that The power consumed by the plurality of electrical devices from the start time to the current time based on the power value measured by the individual power consumption measuring device that measures the power consumed individually by each of the plurality of electrical devices. Power consumption acquisition means for acquiring the amount;
Based on the value of the power measured by the individual power consumption measuring device and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition means for acquiring representative value information shown for each driving state;
Based on the representative value information acquired by the representative value information acquisition means and the information indicating the schedule, the amount of electric power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. A means for acquiring planned power consumption;
By summing the amount of power acquired by the consumed power amount acquisition unit and the amount of power acquired by the scheduled consumption amount of energy acquisition unit, the plurality of electrical devices can perform a period from the start time to the end time. Power consumption predicted value acquisition means for acquiring a predicted value of the amount of power consumed in
An apparatus for predicting power consumption. An individual power consumption measuring step for measuring the power consumed individually by each of the plurality of electrical devices;
Based on the value of power measured in the individual power consumption measurement step, a consumed power amount acquisition step for acquiring the amount of power consumed by the plurality of electrical devices from the start time to the current time;
Based on the value of the power measured in the individual power consumption measurement step and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition step for acquiring representative value information shown for each driving state;
Based on the representative value information acquired in the representative value information acquisition step and the information indicating the schedule, the amount of power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. A planned power consumption acquisition step;
By summing the amount of power acquired in the consumed power amount acquisition step and the amount of power acquired in the scheduled power consumption amount acquisition step, the plurality of electrical devices can be connected between the start time and the end time. A power consumption predicted value acquisition step of acquiring a predicted value of the amount of power consumed by
A power consumption prediction method characterized by the above. A computer connected to an individual power consumption measuring device that measures the power consumed individually by each of a plurality of electrical devices,
Based on the value of the power measured by the individual power consumption measuring device, the consumed electric energy acquisition means for acquiring the electric energy consumed by the plurality of electrical devices from the start time to the current time,
Based on the value of the power measured by the individual power consumption measuring device and the information indicating the schedule of the operating state of the plurality of electrical devices, the representative value of the power individually consumed by each of the plurality of electrical devices is obtained. Representative value information acquisition means for acquiring representative value information shown for each driving state;
Based on the representative value information acquired by the representative value information acquisition means and the information indicating the schedule, the amount of electric power scheduled to be consumed by the plurality of electrical devices from the current time to the end time is acquired. Means for obtaining planned power consumption,
By summing the amount of power acquired by the consumed power amount acquisition unit and the amount of power acquired by the scheduled consumption amount of energy acquisition unit, the plurality of electrical devices can perform a period from the start time to the end time. Function as a power consumption predicted value acquisition means for acquiring a predicted value of power consumption
A program characterized by that.

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