JP3953479B2 - Power consumption monitoring system and load factor calculation display method - Google Patents

Description

  The present invention monitors various types of power used by a user, performs various processes such as tabulation, and displays the processing results for the user to enable the user to save power and the like. The present invention relates to a power consumption monitoring system that provides the information.

Conventionally, there is one that monitors power usage of a user and provides power saving information and the like to the user. Patent Document 1 discloses a demand monitoring method and a monitor that detect power consumption, calculate expected arrival power based on the change, and compare the expected arrival power with a demand monitoring level to generate an alarm signal or the like. An apparatus is described.
Japanese Patent Laid-Open No. 10-240360

  The demand monitoring method and the monitoring device in Patent Document 1 have a problem that the power consumption detecting means, the controller, and the alarm device need to be installed in the user's power equipment, and the cost for installing the monitoring device is high. In addition, since a controller that calculates the expected arrival power and generates a warning signal is installed in the user's power facility, there is a problem that it is difficult to change the calculation method and the generation method of the warning signal. For this reason, it is difficult to respond quickly to changes in the electricity company's fee structure.

  Also, in order to efficiently reduce the power consumption fee, it is important to use the power so that the difference between the maximum value and the minimum value of the power usage becomes small, that is, to use the power as uniformly as possible. . This also leads to an improvement in power generation efficiency for the power generation side. Until now, there has been no appropriate index indicating how much power is used in this way, and it has been difficult to understand whether or not efficient power consumption is being performed.

  Therefore, the present invention monitors the power consumption of the user and performs various processes such as aggregation, and enables the user to save the power consumption by providing the processing result at a low cost to the user. It is an object of the present invention to provide a power consumption monitoring system that can easily change processing contents and display information, and can easily determine whether power consumption is performed efficiently. .

In order to achieve the above object, a power consumption monitoring system according to the present invention is provided in a power facility of a plurality of users, detects a power consumption or a power consumption amount, and transmits the detection power via a communication line; A monitoring server that receives data of used power or used power amount transmitted from the detection unit and performs data processing; and the monitoring server stores storage means for storing a demand time period, and each of the plurality of power facilities Processing for each of the users separately, calculating the power consumption for each predetermined time, and calculating the average power consumption for each demand period as a demand value, and the processing result by the calculation means a display data generating means for generating a display data for each of the user and which receives a request from the user, the display data corresponding to the user Communication means for transmitting to the user, wherein the computing means computes a load factor based on a ratio between the amount of power used during a predetermined period and the maximum demand value during the predetermined period. .

  In the above power consumption monitoring system, the load factor can be obtained based on a ratio between a daily power consumption and a maximum demand value on the day.

  In the above-described power consumption monitoring system, the load factor can be obtained based on a value obtained by dividing a ratio of a monthly power consumption amount and a maximum demand value in the month by the number of days in the month.

  In the above power consumption monitoring system, it is preferable that the data display means is capable of displaying the load factor data in a graph display.

  Moreover, in the above-described power consumption monitoring system, it is preferable to have an electricity bill table that stores a coefficient for calculating a usage fee according to the amount of power used and the usage time zone.

  Further, in the above-described power consumption monitoring system, it is preferable that the calculation unit calculates an electricity bill corresponding to the power consumption amount for each of the users.

Moreover, the load factor calculation display method in the power usage monitoring system of the present invention includes a detection unit provided in power facilities of a plurality of users and a monitoring server that performs data processing of data received from the detection unit. A load factor calculation display method in a power consumption monitoring system, the procedure for receiving power consumption or power consumption information from the detection unit, and the power consumption for each predetermined time for each of the plurality of power facilities A procedure for calculating the average power consumption of the power equipment for each demand time period stored in advance as a demand value, and the ratio between the power consumption for a predetermined period and the maximum demand value during the predetermined period a step of calculating a load factor based on the data of the load rate calculated by the calculation processes separately for each of the user is converted into display data for display procedure, the The display data corresponding to the user in response to a request from the use's are those having a procedure to be transmitted to the user.

  Moreover, in the load factor calculation display method in the above-described power consumption monitoring system, the procedure for calculating the load factor is to obtain the load factor based on a ratio between a daily power consumption and a maximum demand value on the day. can do.

  Further, in the load factor calculation and display method in the power consumption monitoring system described above, the procedure for calculating the load factor is a value obtained by dividing the ratio between the amount of power used in one month and the maximum demand value in the month by the number of days in the month. The load factor can be obtained based on the above.

  In the load factor calculation and display method in the power usage monitoring system described above, it is preferable that the procedure of converting into the display data is to convert the load factor data into data that can be displayed in a graph.

  Since this invention is comprised as mentioned above, there exist the following effects.

  Since only the detection unit is installed in the user's power equipment, and the data is aggregated and various processes are performed by the management server, the cost of the equipment installed on the user side can be reduced. Usage costs can be reduced. Furthermore, by calculating and displaying the load factor, it can be easily confirmed whether or not the user is using the power efficiently. By maintaining the load factor at a large value at all times, it is possible to achieve efficient power use and reduce the power charge. In addition, since various processing contents and data are stored in the management server, these corrections and changes are easy.

  By calculating the daily load factor and displaying it in a list, the user can easily grasp the transition state of the daily load factor, and easily check whether or not the power is being used efficiently. be able to. It is also easy to investigate the cause of the load factor decrease.

  By calculating and displaying the monthly load factor, the user can easily grasp the transition state of the monthly load factor, and easily confirm whether or not the power is being used efficiently. Can do. It is also easy to investigate the cause of the load factor decrease. Furthermore, by dividing by the number of days in each month, an accurate load factor can be obtained regardless of the size of the month.

  Since the data display means can display the load factor data in a graph display, the user can easily visually grasp the transition state of the load factor such as one day or one month. Further, the period during which the load factor is reduced can be displayed in an easy-to-understand manner by changing the display color.

  Since the electricity bill table is stored in the management server, the electricity bill calculated from the electricity bill table can be displayed, and the increase or decrease of the electricity bill can be seen at a glance. In addition, the amount of increase / decrease in electricity charges can be displayed in an easy-to-understand manner, so that the user can easily understand the effect of power saving. Furthermore, it is possible to respond quickly to changes in the electricity company's fee structure.

  Since the calculation means calculates the electricity bill corresponding to the amount of power used for each user, the user can grasp the increase or decrease of his / her own electricity bill at a glance. In addition, the amount of increase / decrease in electricity charges can be displayed in an easy-to-understand manner, so that the user can easily understand the effect of power saving.

  Embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an overall configuration of a power usage monitoring system according to the present invention. This power usage monitoring system can simultaneously monitor power usage for a plurality of users. Each user of the power consumption monitoring system installs the power detection / transmission device 2 in their power facility 1 (for example, cubicle or the like).

  The power detection transmission device 2 detects data regarding power usage or power consumption from the power facility 1 and transmits the data to the management server 4 at predetermined time intervals. The predetermined time interval for data transmission is a short time interval such as 30 seconds to 1 minute, and the time interval can also be set to an arbitrary value. Transmission data from the power detection transmission device 2 is transmitted to the management server 4 via the wireless data communication network 3. As the wireless data communication network 3, for example, NTT Docomo's DoPa (registered trademark) communication network or the like can be used.

  The management server 4 receives the data transmitted from the power detection transmission device 2 of each user, and performs data processing such as aggregation for each user. In other words, a unique identification code is assigned to the power detection transmission apparatus 2, and data of the identification code is added to the transmission data. The management server 4 classifies transmission data for each user based on an identification code added to the transmission data, and performs data processing for each user.

  The management server 4 creates history information, transition information, comparison information, alarm information, and the like related to power usage for each user and provides each user with it. The user can save power consumption by the information provided from the management server 4. The configuration of the management server 4 will be described in detail later. Information is provided from the management server 4 to each user through the Internet communication network 5 here. Of course, information may be provided through a communication medium other than the Internet.

  Each user can refer to information from the management server 4 by the terminal device 6 used by the user. As the terminal device 6, a normal personal computer or the like can be used. Further, as the portable terminal device 7, a mobile phone or the like that can refer to Internet information can be used. In the portable terminal device 7 as well, the terminal device 6 can refer to various types of information regarding the power used. If the portable terminal device 7 is used, information is distributed to each employee such as a company organization who is a user, and detailed power saving behavior can be achieved by each person. In addition, each employee can raise their awareness of power saving.

  When a user refers to information related to his / her power consumption, the terminal device 6 or the portable terminal device 7 is used to connect to the management server 4 via the Internet communication network 5. And if you enter your login name and password and are authenticated, you can refer to the information. That is, only a legitimate user who is authenticated by the login name and password can refer to the information related to his / her power consumption.

  In the power usage monitoring system of the present invention, only the power detection and transmission device 2 is installed in the user's power facility 1, and the data is aggregated and various processes are performed by the management server 4, so that it is installed on the user side. It is possible to reduce the cost of the equipment, and thus reduce the use cost of the system. In addition, since various processing contents and the electricity charge table are stored in the management server 4, these corrections and changes are easy, and changes in the charge system of the electric power company can be quickly handled.

  FIG. 2 is a diagram illustrating the configuration of the management server 4. As the management server 4, a normal server computer can be used. The management server 4 is provided with a CPU 41 that performs various data processing and operations. The CPU 41 can perform various kinds of information processing by accessing a memory 43 including a ROM, a RAM, and the like via a bus 42 and accessing other input / output circuits and the like.

  The CPU 41 operates according to a system program and data such as BIOS stored in the ROM section of the memory 43 and a program and data loaded to the RAM section of the memory 43. First, an OS (operating system) that is a basic program is loaded in the RAM unit.

  The RAM section is loaded with an arithmetic processing program 431 for performing various data processing and arithmetic processing, and a display data creation program 432 for providing each user with information regarding power consumption. The calculation processing program 431 calculates the power consumption and electricity charge of each user, calculates the demand value normally obtained every 30 minutes, calculates the demand value predicted value at the current demand time limit, The rate is calculated.

  The display data creation program 432 shapes various information regarding the power consumption of each user calculated by the calculation processing program 431 into an easy-to-read data format such as a graph or a table. Display data for each user is created in markup languages such as HTML (Hyper Text Markup Language) and XML (eXtensible Markup Language), and each user can use normal browsing software (browser) via the Internet. You can refer to it.

  A fixed disk device 44 as an auxiliary storage device is connected to the bus 42 of the management server 4. The fixed disk device 44 stores an OS program to be executed by the CPU 41 and other programs, and loads these programs and the like from the fixed disk device 44 to the RAM unit of the memory 43 as appropriate.

  The fixed disk device 44 also stores a user table 441 in which information about users is used as a table. The user table 441 stores user identification information such as the user's address and name, information on the identification code of the power detection transmission apparatus 2, user authentication information such as a login name and password, and the like. Note that highly confidential information such as passwords is encrypted and stored. The user table 441 also stores the type of power charge system applied to the user.

  Further, the fixed disk device 44 stores an electricity charge table 442 that uses a power charge system as a table. In the electricity price table 442, when the charge system differs depending on the power company, all of the plurality of charge systems corresponding to the power company are stored. Even in the same electric power company, the unit price of electric power varies depending on the season (summer fee, winter fee, etc.) and usage time (nighttime, daytime, peak time), so that information is stored.

  In the fixed disk device 44, data relating to power usage for each user is recorded as power usage recording data 443. The used power record data 443 is data transmitted by the power detection and transmission device 2, and is recorded separately for each user. Various data relating to the power usage of each user is obtained by processing the power usage data 443.

  Of the display data for each user, the type of data with a high reference frequency is created in advance as display data 444. The display data is created in principle after a display request from the user is generated. However, the data with high reference frequency is created in advance in this way, so that the load on the management server 4 can be equalized. it can.

  A display unit 46 for displaying characters and graphics and an input unit 47 for an operator to input data are connected to the bus 42 of the management server 4 via an interface circuit 45. A CRT, a liquid crystal display, or the like can be used as the display unit 46, and a keyboard, a touch panel, or the like can be used as the input unit 47. Further, the management server 4 is provided with a communication circuit 48, and the management server 4 is connected to the wireless data communication network 3 (see FIG. 1) and the Internet communication network 5 (see FIG. 1) via the communication circuit 48. Has been.

  FIG. 3 is a diagram illustrating an example of the power usage record data 443. The power usage record data 443 is thus recorded separately for each user. This example shows a case where the power detection transmitter 2 sends the accumulated value [kWh] of the power meter every minute. The amount of electric power is divided into two types, electric light and power. The management server 4 can determine the amount of power used, the amount of power used, the minimum value, the maximum value, and the like for an arbitrary period by processing the power consumption record data 443. Note that the power detection transmission device 2 is not limited to transmitting the accumulated value of the used power amount, and may transmit other data such as the used power and the used power amount for a predetermined period.

  An example of display data for each user will be described with reference to FIGS. When a user connects to the management server 4 via the Internet communication network 5 by the terminal device 6 or the portable terminal device 7 and is authenticated by inputting a login name and a password, various kinds of information can be referred to. The user selects information to be referred to and displays it on the screen of the terminal device 6 or the like. The information is selected by, for example, clicking a button indicating desired information from among a plurality of buttons on a menu screen displayed by the browsing software with the mouse.

  FIG. 4 shows information obtained by dividing the information on the daily power consumption every 30 minutes. The basic charge differs depending on the contracted power, but the contracted power is set to the maximum value for the past one year of the average used power (this is called the demand value) every 30 minutes (this is called the demand time limit). There are many. Electricity charges vary from power company to power company, but the majority of power companies make such power usage contracts. For this reason, useful information can be obtained by processing the information on the electric power used by dividing every 30 minutes.

  FIG. 4 is an example of August 10th, and the summer bill is applied as the electricity bill. In this example, 00:00 to 08:00 and 22:00 to 24:00 become night time, and the night charge (6.05 yen / kWh) is applied, and 08: 00 to 13:00 and 16: 00 to 22 1:00 becomes daytime and daytime fee (14.70 yen / kWh) is applied, and 13: 0 to 16:00 becomes peak time and peak hourly fee (15.90 yen / kWh) is applied. Information on these electricity charges is stored in the electricity charge table 442.

In FIG. 4, “total electric energy” is a total value of “light electric energy” and “power electric energy”. The “DM value” represents a demand value. That is, the average power used every 30 minutes (demand time period). By keeping the demand value below the target value, contract power can be reduced and the basic charge can be reduced. Further, “CO ₂ emission amount” is obtained by converting the amount of electric power used into CO ₂ emission amount in a thermal power plant. “Crude oil equivalent” is the amount of electricity used converted to crude oil consumption at thermal power plants.

  In FIG. 4, the rows of “total daytime”, “total peak time”, and “total nighttime” are total values in the respective time zones. However, the maximum value is shown for the demand value. The “total” line is the total value of the whole, but the demand value indicates the maximum value of the whole.

  In addition, numerical values such as “total electric energy”, “lamp electric energy”, “dynamic electric energy”, “DM value”, etc. are distinguished from the maximum value and the minimum value of the entire 00: 00 to 24:00. It is preferable to display. For example, the maximum value is displayed in red, the minimum value is displayed in blue, and the other values are displayed in black. In this way, it can be seen at a glance at which time zone the maximum and minimum values occur. Also, instead of the maximum and minimum values for the entire day time zone, the maximum and minimum values in the daytime, peak time, and nighttime time zones may be displayed separately from others. Good. In FIG. 4, information is displayed in a tabular format. By using this as a bar graph or other graph display, changes in numerical values can be displayed more easily.

  FIG. 5 shows a screen on which display data for managing demand values is displayed. At the bottom of the display screen, the transition state of the demand value every 30 minutes, which is the demand time limit, is shown. The time data for the demand time limit is stored in the fixed disk device 44. Even if the demand time period varies depending on the electric power company, an appropriate demand time period is used.

  The current demand time period is shown at the bottom right corner of the screen. The transition state of the demand value here is obtained by dividing the amount of power used from the start of each demand time period to the point of interest by the demand time period of 0.5 hours. Therefore, the demand transition value starts from 0 and increases to the final demand value. The final demand value in the demand time period can be predicted by the slope of the demand transition value.

  In the lower part of the display screen, a plurality of (15 in this screen) demand transition values in the demand time period are displayed in a reduced manner. When the display of this screen is started, the current demand time period is displayed at the right end of the lower part of the screen, and the transition state of the demand value of the current demand time period is enlarged and displayed at the upper part of the screen. From the slope of the demand transition value, the final demand value at the end of the demand time period can be predicted. The predicted value is indicated by a thin line arrow. The target demand value is indicated by a horizontal dotted line. If the demand value is kept below the target demand value, the contract charge can be reduced and the basic charge can be reduced.

  When the predicted demand value exceeds the target demand value, warning information is displayed to the user. When the user is connected to the management server 4, a message such as “The demand value may exceed the target value” is displayed on the display screen referred to by the user. Further, an e-mail with a similar message may be sent to a preset address. The user uses the warning information to reduce power consumption by turning off unnecessary devices. In this way, it is possible to effectively prevent the demand value from exceeding the target value, and to reduce the electricity bill.

  In the lower part of the “demand value management” screen in FIG. 5, demand transition values in a plurality of demand time periods are displayed. The display can be scrolled by the scroll bar at the bottom of the screen, and the demand transition value in the past demand period can be displayed. Further, by double-clicking the demand time period to be enlarged, the demand transition value can be enlarged and displayed at the upper part of the screen.

  In the upper left part of the “demand value management” screen, the past maximum demand value, the date of occurrence thereof, and the target demand value are displayed numerically. The menu screen can be displayed again by clicking the “return to menu” button located at the top right of the screen.

  FIG. 6 is a diagram showing a screen on which power consumption data for one week is displayed. On this screen, it is possible to display a transition for one week of the amount of electric power used by the user, display of a total value, and comparison with another week. In the upper left part of the screen, the period display for one week and the total value for that period are displayed. When the display of this screen is started, the most recent week is displayed. The period to be counted can be selected from any one week by selecting from the upper list box.

On the right side, that is, in the upper center of the screen, a demand value for one week to be compared, a total value of power consumption, and an electricity charge are displayed. At the start of the screen display, the one week immediately before the week to be counted is displayed. As a period to be compared, an arbitrary week can be selected by selecting from the upper list box. On the right side, that is, on the upper right side of the screen, the CO ₂ emission amount and the crude oil equivalent amount corresponding to the power consumption for one week are displayed. These conversion amounts are as described above.

  In the lower left part of the screen, the transition of the amount of power used for one week is displayed as a bar graph. The bar graph displays the amount of power used separately corresponding to each of the night time, daytime time, and peak time zones. By such a bar graph display, it is possible to easily display the transition state of the used electric energy for one week, the used electric energy in each time zone, and the entire used electric energy. Moreover, the transition of the electric power consumption for one week made into the comparison object is displayed by the line graph. Thereby, for example, a comparison with the power consumption for the last week can be displayed in an easy-to-understand manner.

  In addition, the upper end of the bar graph displays the day when the maximum and minimum demand values occur within a week. The day when “★” is displayed is the day when the maximum value of the demand value occurs, and the day when “☆” is displayed is the day when the minimum value of the demand value occurs.

  In the lower right part of the screen, data for one week of power consumption is displayed numerically. This tabular data is numerical data that is the basis of bar graph display, and accurate numerical values that are difficult to understand with bar graphs can be obtained. The total value of power consumption for each time zone is displayed on the far left. The total value of each time zone is displayed so that the maximum value and the minimum value within one week can be distinguished from others. Specifically, the maximum value is displayed in red, and the minimum value is displayed in blue. If the total value on Friday is the maximum value, this is displayed in red, and if the total value on Sunday is the minimum value, this is displayed in blue. In this way, it can be seen at a glance on which day the maximum and minimum values of the power consumption occur.

  Above the numerical data in the tabular format, a “to previous data” button and a “to subsequent data” button are arranged. The “go to previous data” button is a button for moving the aggregation object back to the past by one week, and the “go to subsequent data” button is a button for advancing the aggregation object for one week. That is, clicking on the “go to previous data” button displays data one week before the current display, and clicking on the “go to subsequent data” button displays data for one week after the current display. Further, the menu screen can be displayed again by clicking the “return to menu” button arranged at the upper right part of the screen.

  Similar to the weekly power consumption data as shown in FIG. 6, 30-minute power consumption data, daily power consumption data, monthly usage power data, and annual power consumption data can also be displayed. By these, the transition state and comparison of the electric power used in various periods can be displayed in an easy-to-understand manner. These displays include electricity charges calculated from the electricity rate table 442, so you can see at a glance whether the electricity rate has increased or decreased compared to the previous period, and how much it has increased or decreased. It is possible to display the decrease even more clearly. For this reason, it is easy for the user to grasp the effect of power saving.

  In addition, since the amount of carbon dioxide emissions and crude oil equivalent corresponding to the amount of power used can be displayed, it is possible to carry out power saving actions from the viewpoint of the global environment, and the user's awareness of the need for power saving. Can be increased.

  FIG. 7 is a diagram illustrating a screen displayed by calculating a load factor as an index indicating how much power is being used. The load factor is calculated based on a value obtained by dividing power used during a predetermined period by the maximum demand value during the period. As the predetermined period, one day, one week, one month or the like is used. The demand value is the average power used for each demand period, and the maximum demand value is the maximum value of the demand value.

  The demand time period is divided into 00:30 to 24:00 on a daily basis every 30 minutes, and each period is defined as a demand time period. Since the demand time period may vary depending on the electric power company, the time data of the demand time period is stored in the fixed disk device 44. Even if the demand time period varies depending on the electric power company, an appropriate demand time period is used.

  FIG. 7 shows a calculation of the daily load factor. As an example, the load factors for each day from May 1 to May 31 are displayed in a graph. The horizontal axis represents the date, and the vertical axis represents the load factor. Here, an example is shown in which the daily load factor is displayed for one month, but other days (for example, one week, two weeks, etc.) can also be displayed.

  The daily load factor may be calculated by dividing the daily power consumption (kWh) by the maximum demand value (kW) for the day. In this case, if the power used is completely uniform, the load factor is maximized to 24. The load factor decreases as the difference between the maximum and minimum values of power used increases. Although the calculation is performed so that the maximum value of the load factor is 24 here, the load factor may be normalized by multiplying a coefficient of 1/24 so that the maximum value becomes 1.

  This load factor is an index indicating how uniformly the power is used, and the load factor increases as the power usage is uniform. By adjusting the power usage so as to make the load factor as large as possible, it is possible to achieve efficient power usage and reduce the power charge. In FIG. 7, when the load factor falls below a predetermined lower limit value (for example, 10), the user can grasp at a glance by displaying the graph of the day in red. When the load factor decreases, the cause is investigated and improved, so that the load factor is always kept at a large value. The weekday and holiday graph display may be displayed in different colors.

  Similarly, the load factor for one week and one month can be calculated and displayed. The load factor for one month is obtained based on a value obtained by dividing the amount of power consumed (kWh) for one month by the maximum demand value (kW) for the month. However, in the case of a period of one month, since the number of days in one month varies depending on the size of the month, it is preferable that the value obtained by dividing the value by the number of days in the month be the load factor.

  That is, the monthly load factor is obtained by dividing the monthly power consumption (kWh) by the maximum demand value (kW) of the month and further dividing by the number of days of the month. Further, the load factor may be normalized so that the maximum value becomes 1 like the daily load factor. The load factor for one month can be displayed in a graph with the data for one year aligned, and the transition state of the load factor for each month can be confirmed.

  The load factor for one week is obtained based on a value obtained by dividing the amount of power used (kWh) for one week by the maximum demand value (kW) for the week. Even when the period is other than one day, one week, and one month, the load factor can be obtained in the same manner.

  The graph display of the load factor in FIG. 7 can be selected and displayed from a menu screen displayed by browsing software, for example. It is also possible to instruct the load factor graph display from a screen such as “1 week data” or another “1 month data” as shown in FIG. As described above, by calculating and displaying the load factor, it can be easily confirmed whether or not the user is using the power efficiently. By maintaining the load factor at a large value at all times, it is possible to achieve efficient power use and reduce the power charge.

  FIG. 8 is a flowchart showing an outline of the operation of the management server 4. When the management server 4 is activated, in step 401, the power data relating to the used power and the like is received from the power detection transmission device 2 provided in the power facility 1 of each user. In step 402, the received power data is totaled for each user, and various data processing is performed. These data processes are for determining the amount of power used, electricity bill, demand value, maximum demand value, load factor, etc., and for obtaining basic data for displaying as shown in FIGS. .

  Next, in step 403, display data (for example, display as shown in FIGS. 4 to 7) is created based on the results of various data processing. This includes display data creation by a user request from the terminal device 6 or the like. Then, in step 404, the created display data is transmitted to the terminal device 6 and the portable terminal device 7 and displayed on those screens.

  In step 405, it is determined whether or not the management server 4 has been instructed to end. If the end instruction has been issued, the operation is terminated. If no end instruction is given, the process returns to step 401 and the above processing is repeated. The management server 4 normally performs non-stop operation for 24 hours on 365 days, but the operation is temporarily stopped at the time of failure or maintenance work. It is preferable to provide a backup server as the management server 4 and perform an alternative operation by the backup server when the server is stopped.

  In the flowchart of FIG. 8, the processing from step 401 to step 405 is displayed so as to be executed sequentially, but these steps may be executed simultaneously by parallel processing.

  FIG. 9 is a flowchart showing a load factor calculation process. The load factor calculation processing is included in the calculation processing program 431 and is called from the procedure 402 in FIG. When the load factor calculation process is called, in step 411, a predetermined calculation period for calculating the load factor is set. This calculation period is designated as an argument when calling the load factor calculation process, and is a period of one day, one week, one month, or the like. In addition, if it is one day, date data specifying the day is specified, and data specifying a period is specified even in other periods. Set the calculation period based on these arguments.

  Next, in step 412, the power consumption during the set calculation period is calculated. Note that if the amount of power used during the calculation period has already been aggregated, the aggregated value is used as it is. Next, in step 413, the maximum demand value (maximum value of demand value) in the set calculation period is obtained. Next, in step 414, the load factor is calculated by the calculation method as described above based on the ratio between the power consumption and the maximum demand value. Then, the load factor calculation process is terminated and the process returns to the caller, and the load factor of the calculation result is passed to the caller as a return value.

  As described above, it is possible to easily confirm whether or not the user is using the power efficiently by himself / herself, by calculating and displaying the transition of the power consumption / electricity rate and the load factor. By maintaining the load factor at a large value at all times, it is possible to achieve efficient power use and reduce the power charge.

  The management server 4 includes a bulletin board system (electronic bulletin board system) provided for each user. In this bulletin board system, the system administrator side and the user of the management server 4 can post messages and refer to the messages. That is, this bulletin board system provides a place for exchanging opinions between the system administrator and the user. As a result, the system administrator can give appropriate opinions and advice based on the power usage data of the user, and the user can also execute appropriate power saving action based on the advice. . Furthermore, when the user is a company organization, the opinions and instructions of the person in charge of power saving can be quickly transmitted to each department or branch office of the company.

  According to the present invention, power consumption of a user is monitored, various processes such as aggregation are performed, and the processing results are provided to the user at a low cost, so that power consumption can be saved. Furthermore, the global environment can be improved by reducing carbon dioxide emissions and crude oil consumption.

It is a figure showing the whole power consumption monitoring system composition of the present invention. 2 is a diagram illustrating a configuration of a management server 4. FIG. It is a figure which shows an example of the used electric power recording data 443. FIG. It is the figure which divided | segmented and displayed the information of the electric power consumption of 1 day every 30 minutes. It is a figure which shows the display data for managing a demand value. It is a figure which shows the screen which displayed the electric power usage data for one week. It is a figure which shows the screen which calculated and displayed the load factor. 5 is a flowchart showing an outline of the operation of the management server 4. It is a flowchart which shows the calculation process of a load factor.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Power equipment 2 Power detection transmitter 3 Wireless data communication network 4 Management server 5 Internet communication network 6 Terminal device 7 Portable terminal device 30 Normal 41 CPU
42 Bus 43 Memory 44 Fixed disk device 45 Interface circuit 46 Display unit 47 Input unit 48 Communication circuit 431 Arithmetic processing program 432 Display data creation program 441 User table 442 Electricity rate table 443 Power recording data 444 Display data

Claims (10)

A detection unit (2) provided in the power facility (1) of a plurality of users, detecting the power used or the amount of power used, and transmitting it via a communication line;
A monitoring server (4) that receives the data of the used power or the used power amount transmitted from the detection unit (2) and performs data processing;
The monitoring server (4)
Storage means (44) for storing the demand time limit;
Each of the plurality of power facilities (1) is processed separately for each user to calculate the amount of power used for each predetermined time, and the average power used for each demand period is calculated as a demand value. A computing means (431);
Display data creating means (432) for creating a processing result by the computing means (431) as display data for each user ;
Communication means (48) for receiving the request from the user and transmitting the display data corresponding to the user to the user;
The said calculating means (431) is a used electric power monitoring system which calculates a load factor based on ratio of the used electric energy of a predetermined period, and the maximum demand value in the said predetermined period. The power usage monitoring system according to claim 1,
The power consumption monitoring system, wherein the load factor is obtained based on a ratio between a daily power consumption and a maximum demand value on the day. The power usage monitoring system according to claim 1,
The load factor is a power consumption monitoring system for obtaining a load factor based on a value obtained by dividing a ratio of a power consumption amount for one month and a maximum demand value in the month by the number of days in the month. The power usage monitoring system according to any one of claims 1 to 3,
The power display system (432) is a power consumption monitoring system capable of displaying the load factor data in a graph display. The power usage monitoring system according to any one of claims 1 to 4,
A power usage monitoring system having an electricity bill table (442) storing coefficients for calculating a usage fee according to the amount of power used and a usage time zone. The power usage monitoring system according to claim 5,
The calculation means (431) is a power consumption monitoring system that calculates an electricity bill corresponding to a power consumption amount for each of the users. In a power usage monitoring system including a detection unit (2) provided in a plurality of users' power facilities (1) and a monitoring server (4) that performs data processing of data received from the detection unit (2) A load factor calculation display method,
A procedure for receiving information on power consumption or power consumption from the detection unit (2);
A procedure for calculating a power consumption for each predetermined time for each of the plurality of power facilities (1);
A procedure for calculating, as a demand value, the average power used by the power equipment (1) for each demand time period stored in advance;
A procedure for calculating a load factor based on a ratio between the amount of power used during a predetermined period and the maximum demand value during the predetermined period;
A procedure for processing the load factor data obtained by calculation separately for each user and converting the data into display data for display,
A load factor calculation display method in a power usage monitoring system, comprising: a step of transmitting the display data corresponding to the user to the user in response to a request from the user . A load factor calculation display method in the power usage monitoring system according to claim 7,
The procedure for calculating the load factor is a load factor calculation and display method in a power consumption monitoring system in which the load factor is obtained based on a ratio between a daily power consumption amount and a maximum demand value on the day. A load factor calculation display method in the power usage monitoring system according to claim 7,
In the power consumption monitoring system, the load factor is calculated based on a value obtained by dividing a ratio between a monthly power consumption and a maximum demand value in the month by the number of days in the month. Load factor calculation display method. It is the load factor calculation display method in the electric power usage monitoring system of any one of Claims 7-9,
The procedure for converting to the display data is a load factor calculation display method in a power usage monitoring system in which the load factor data is converted into data that can be displayed in a graph.

Images