1. Field of the Invention
The inventions relate to in-store equipment for remote monitoring.
2. Description of the Prior Art
There are systems for monitoring the interior temperature of freezing equipment by using a remote monitoring device. The remote monitoring device changes the set value of the interior temperature of the freezing equipment depending on how the monitored interior temperature has changed (see JP-A-2000-245595). However, an in-store equipment remote monitoring system for achieving power saving has not yet been developed.
The inventions provide in-store equipment remote monitoring system capable of efficiently operating in-store equipment.
The inventions are directed to an in-store equipment monitoring system comprising a controller provided in each store and monitoring and controlling in-store equipment and a monitoring computer connected to the controller in the store through a public line. The controller comprises data transmission means for transmitting to the monitoring computer data related to in-store equipment and predetermined measurement data, and display means for displaying power saving advice information fed from the monitoring computer. The monitoring computer comprises power saving advice information production means for producing power saving advice information for efficiently operating each in-store equipment on the basis of the data received from the controller, and power saving advice information transmission means for transmitting to the controller the produced power saving advice information.
When the in-store equipment is illuminating equipment, an example of the data transmission means is one for transmitting inside-store illumination set by a user and an outside-store illumination measured value from the controller to the monitoring computer. Further, an example of the power saving advice information production means is one comprising means for calculating, on the basis of historical data related to the outside-store illumination measured values received from the controller, historical data related to weather, and weather forecasting for tomorrow, an outside-store illumination estimated values for times during tomorrow, and means for calculating, on the basis of the obtained outside-store illumination estimated values for times during tomorrow and the set inside-store illumination received from the controller, recommended inside-store illumination for times during tomorrow.
When the in-store equipment is air conditioning equipment, an example of the data transmission means is one for transmitting an inside-store temperature set by a user, an inside-store temperature measured value and an outside-store temperature measured value, and the measured value of a factor affecting the inside-store temperature by equipment other than the air conditioning equipment from the controller to the monitoring computer. An example of the power saving advice information production means is one comprising means for calculating, on the basis of historical data related to the inside-store temperature measured values, the outside-store temperature measured values, and the measured values of the factors affecting the inside-store temperature by the equipment other than the air conditioning equipment which are received from the controller, historical data related to weather forecasting, and weather forecasting for tomorrow, an inside-store temperature estimated value for times during tomorrow, and means for calculating, on the basis of the obtained inside-store temperature estimated values for times during tomorrow and the set inside-store temperature received from the controller, an inside-store temperature adjustment levels for times during tomorrow.
An example of the measured value of the factor affecting the inside-store temperature by the equipment other than the air conditioning equipment is the measured value of the interior temperature of a freezing equipment and/or the number of times of opening/closing of a store outlet/inlet door.
The foregoing features, aspects and advantages of the inventions will become more apparent from the following detailed description of the inventions when taken in conjunction with the accompanying drawings.
Referring now to the drawings, an embodiment of the inventions will be described.
[1] Description of Configuration of In-Store Equipment Monitoring System
The in-store equipment monitoring system comprises stores 1 such as a plurality of convenience stores and a monitoring center 2 for providing power saving advice information to each of the stores 1.
A controller 10 for synthetically monitoring the operating state of equipment in the store 1 and measured values by various types of measuring devices as well as controlling equipment installed in the store 1. A monitoring personal computer (a monitoring PC) 20 is installed in the monitoring center 2.
The controller 10 in each of the stores 1 is networked to equipment in the store 1. Further, the controller 10 in the store 1 is connected to the monitoring PC 20 in the monitoring center 2 through a public line (an analog telephone line, an ISDN (Integrated Services Digital Network), etc.) 3.
[2] Description of Configuration of Equipment in Store
As equipment in the store, there are provided in this example a solar battery 31, illuminating equipment 32, air conditioning equipment (an air conditioner) 33, freezing equipment (including a freezing showcase, a compressor, etc.) 34, refrigerating equipment (a refrigerator) 35, a garbage disposer 36, and a store outlet/inlet door (an automatic door) 37. The equipment is networked to the controller 10.
As a measuring device, there are provided in this example a device 41 for measuring power produced by the solar battery 31, a device 42 for measuring power consumption of equipment, an inside-store illumination measuring device 43, an outside-store illumination measuring device 44, an interior temperature measuring device 45, an outside-store temperature measuring device 46, a device 47 for measuring the interior temperature of the freezing equipment 34 (a device for measuring the interior temperature of the freezing showcase), a device 48 for measuring the interior temperature of the refrigerating equipment 35, a counter 49 for counting the number of times of opening/closing of the automatic door 37, and so forth. Each of the measuring devices is connected to the controller 10.
[3] Description of Outline of Operations of In-Store Equipment Monitoring System
The controller 10 in each of the stores 1 transmits information related to equipment in the store 1 and measured values by various measuring devices to the monitoring PC 20 in the monitoring center 2 through the public line 3. The monitoring PC 20 produces power saving advice information for reducing power consumption for each store on the basis of data sent from the controller 10 in the store 1 and transmits the produced power saving advice information to the corresponding controller 10. The controller 10 in the store 1 displays the power saving advice information sent from the monitoring PC 20 on a monitor of the controller 10. A user operates the controller 10 on the basis of the power saving advice information displayed on the monitor, to control the power consumption of equipment.
A large part of the power of the store depends on the illuminating equipment 32, the air conditioning equipment (air conditioner) 33, the freezing equipment (freezing showcase) 34, and the refrigerating equipment (refrigerator) 35. Accordingly, the monitoring PC 20 produces the following power saving advice information with respect to the equipment, and provides the produced power saving advice information to the controller 10.
(1) Illuminating Equipment 32
The monitoring PC 20 estimates outside-store illumination corresponding to one day on the basis of outside-store illumination and data representing weather forecasting, and provides power saving advice information for efficiently driving the illuminating equipment 32 on the basis of the results of the estimation of the outside-store illumination.
(2) Air Conditioning Equipment (Air Conditioner) 33
Generally, the air conditioning equipment 33 carries out driving control on the basis of only an inside-store temperature and inside-store humidity. The monitoring PC 20 in the monitoring center 2 also provides power saving advice information for efficiently driving the air conditioning equipment 33 in consideration of other factors affecting the inside-store temperature together with the inside-store temperature, an outside-store temperature, and data representing weather forecasting.
Here, the other factors affecting the inside-store temperature include the interior temperature of the freezing equipment (freezing showcase) 34 and the number of times of opening/closing of the automatic door 37 per unit time.
(3) Freezing Equipment 34 or Refrigerating Equipment 35
For example, the monitoring PC 20 provides, with respect to the freezing equipment 34, power saving advice information for efficiently controlling the opening/closing of an electromagnetic valve and an output of a compressor in consideration of the set temperature of the air conditioning equipment 33 and the inside-store temperature.
The monitoring PC 20 only monitors, with respect to the solar battery 31 and the garbage disposer 36, the driving, and receives from the controller 10 a warning in a case where the equipment develops a fault.
[4] Description of Method of Producing Power Saving Advice Information for Illuminating Equipment 32
Referring to
In the predetermined store 1, the user sets desired illumination (desired inside-store illumination) for the controller (in-store controller) 10 (step 1). The controller 10 acquires an outside-store illumination measured value from the outside-store illumination measuring device 44 (step 2). The controller 10 transmits the illumination set by the user and the acquired outside-store illumination measured value to the monitoring PC 20 in the monitoring center 2 (step 3). Such processing is performed for each predetermined time period.
When the monitoring PC 20 in the monitoring center 2 receives the set illumination and the outside-store illumination measured value from the controller 10 (step 111), it stores them in a storage device (step 112).
Processing for calculating an inside-store illumination adjustment level corresponding to all tomorrow is performed on the basis of the set illumination and the outside-store illumination measured value which have been so far received and data representing weather forecasting (step 13).
Description is made of the processing for calculating the inside-store illumination adjustment level. The monitoring PC 20 produces a database for illumination estimation storing the date, the time, the probability of precipitation, and outside-store illumination, as shown in
The probability of precipitation for tomorrow is acquired from weather forecasting for tomorrow, and outside-store illumination, corresponding to several days in the past on which the probability of precipitation is the same as the probability of precipitation for tomorrow, are extracted, starting with the newest one from the database for illumination estimation. The averages of the extracted outside-store illumination, at the same time, corresponding to several days are respectively calculated. Consequently, an outside-store illumination estimated values for times during tomorrow is calculated, as indicated by A in
An outside-store illumination adjustment level (a recommended illumination level) for each time of all tomorrow is then determined, as indicated by B in
Furthermore, an electricity rate corresponding to the difference in power consumption between a case where the illuminating equipment 32 is driven for a whole day such that the set illumination is obtained and a case where the illuminating equipment 32 is driven for a whole day such that the determined inside-store illumination adjustment level for each time is obtained is calculated.
The monitoring PC 20 transmits data such as the recommended illumination level corresponding to all tomorrow thus obtained to the controller 10 in the predetermined store 1 (step 14).
When the controller 10 receives the data such as the recommended illumination level from the monitoring PC 20 (step 4), it processes the data, and displays the processed data on a screen on the day of control (step 5). An example of the screen is illustrated in
[5] Description of Method of Producing Power Saving Advice Information Related to Air Conditioning Equipment 33
Referring to
In the predetermined store 1, the user sets a desired temperature (a desired inside-store temperature) for the controller (in-store controller) 10 (step 101). The controller 10 acquires an inside-store temperature measured value, an outside-store temperature measured value, and an interior temperature measured value (a measured value of the interior temperature of the freezing showcase) from the inside-store temperature measuring device 45, the outside-store temperature measuring device 46, and the interior temperature measuring device 47, and acquires the number of times of opening/closing from the counter 49 (step 102). The controller 10 transmits the temperature set by the user, and the inside-store temperature measured value, the outside-store temperature measured value, the interior temperature measured value, and the number of times of door opening/closing which have been acquired to the monitoring PC 20 in the monitoring center 2 (step 103). Such processing is performed for each predetermined time period.
When the monitoring PC 20 in the monitoring center 2 stores the inside-store temperature measured value, the outside-store temperature measured value, the interior temperature measured value, and the number of times of door opening/closing from the controller 10 (step 11), it stores them in a storage device (step 112).
Processing for calculating the inside-store temperature adjustment level corresponding to all tomorrow on the basis of the inside-store temperature measured value, the outside-store temperature measured value, the interior temperature measured value, and the number of times of door opening/closing which have been so far received, and data representing weather forecasting (step 113).
The following describes the processing for calculating the inside-store temperature adjustment level. The monitoring PC 20 produces a database for temperature estimation storing the date, the time, the inside-store temperature measured value, the outside-store temperature measured value, the interior temperature measured value, the number of times of door opening/closing per unit time, and weather, as shown in
An inside-store temperature estimated value (t+1) at time t+1 is defined by the following equation (1) using an inside-store temperature (t), an outside-store temperature (t), an interior temperature (t), and the number of times of door opening/closing (t) per unit time at time t, i.e., Δt t before the time t+1.
Inside-store temperature estimated value (t+1) at time t+1=a×inside-store temperature(t)+b×outside-store temperature (t)+c×interior temperature (t)+d×the number of times of door opening/closing (t) per unit time (1)
In the foregoing equation (1), a, b, c, and d are coefficients. Each of the coefficients a, b, c, and d is calculated by multiple regression analysis on the basis of data for one year in the past.
Weather for tomorrow is then acquired from weather forecasting for tomorrow, and data, corresponding to several days in the past on which weather is the same as the weather for tomorrow, are extracted, starting with the newest one, from the database for temperature estimation. The averages of the extracted data, at the same time, corresponding to several days are respectively calculated for the inside-store temperature measured value, the outside-store temperature measured value, the interior temperature measured value, and the number of times of door opening/closing per unit time. Consequently, data representing the inside-store temperature measured value (the average), the outside-store temperature measured value (the average), the interior temperature measured value (the average), and the number of times of door opening/closing per unit time (the average) are obtained for each time of one day, as shown in
The obtained data for each time of one day (the inside-store temperature measured value (the average), the outside-store temperature measured value (the average), the interior temperature measured value (the average), and the number of times of door opening/closing per unit time (the average) are substituted in the foregoing equation (1), to calculate an inside-store temperature estimated value at the next time. Consequently, an inside-store temperature estimated value for each time of all tomorrow is obtained, as indicated by A in
An inside-store temperature adjustment level (a recommended temperature level) for each time of all tomorrow is then determined, as indicated by B in
Furthermore, an electricity rate corresponding to the difference in power consumption between a case where the air conditioning equipment 33 is driven for a whole day such that the set temperature is obtained and a case where the air conditioning equipment 33 is driven for a whole day such that the determined inside-store temperature adjustment level for each time is obtained is calculated.
The monitoring PC 20 transmits data such as the recommended temperature level corresponding to all tomorrow thus obtained to the controller 10 in the predetermined store 1 (step 114).
When the controller 10 receives the data such as the recommended temperature level from the monitoring PC 20 (step 104), it processes the data, and displays the processed data on a screen on the day of control (step 105). An example of the screen is illustrated in
Although the inventions have been described and illustrated in detail, it is clearly understood that the same is by way of illustration and example only and is not to be taken by way of limitation, the spirit and scope of the inventions being limited only by the terms of the appended claims.
Number | Date | Country | Kind |
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2001-99485 | Mar 2001 | JP | national |
The present application is a continuation of Ser. No. 10/103,563, filed Mar. 22, 2002, now abandoned which prior application is incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
4847781 | Brown et al. | Jul 1989 | A |
5539633 | Hildebrand et al. | Jul 1996 | A |
5566084 | Cmar | Oct 1996 | A |
5761083 | Brown et al. | Jun 1998 | A |
5777895 | Kuroda et al. | Jul 1998 | A |
5924486 | Ehlers et al. | Jul 1999 | A |
6454177 | Sasao et al. | Sep 2002 | B1 |
6478233 | Shah | Nov 2002 | B1 |
6577962 | Afshari | Jun 2003 | B1 |
20010048376 | Maeda et al. | Dec 2001 | A1 |
20020124992 | Rainer et al. | Sep 2002 | A1 |
Number | Date | Country |
---|---|---|
2000-245595 | Sep 2000 | JP |
Number | Date | Country | |
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20040186628 A1 | Sep 2004 | US |
Number | Date | Country | |
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Parent | 10103563 | Mar 2002 | US |
Child | 10764466 | US |