JP2003132119A - Energy-saving countermeasure support system and its method and program for executing this method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an energy-saving countermeasure support system capable of analyzing the existence of an energy-saving effect from gathered data. SOLUTION: This energy-saving countermeasure support system is provided with an energy consumption quantity measuring device 5 mutually connected via a network, and measuring an energy consumption quantity of an energy-saving object 6, and an energy-saving countermeasure support processing unit 101 having an energy unit requirement characteristic graph making part 3 for making an energy unit requirement characteristic graph for indicating a change in an energy unit requirement to a unit requirement calculating element on the basis of a plurality of set data with a value of the energy unit requirement and a value of a measuring time unit requirement calculating element as a set by calculating the energy unit requirement by dividing the measured energy consumption quantity by the unit requirement calculating element of the energy-saving object 6 at measuring time, and an energy consumption characteristic diagnosing part 4 for diagnosing an energy consumption characteristic of the energy- saving object 6 on the basis of the relationship between a straight line obtained by linearly approximating the energy unit requirement characteristic graph and respective points on the energy unit requirement characteristic graph.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention measures the amount of energy consumption of an energy-saving target such as manufacturing equipment measured by an energy-consumption measuring device, and based on the measurement result, the energy saving target of the energy-saving target. TECHNICAL FIELD The present invention relates to an energy-saving countermeasure support system and method for supporting countermeasures against commutation, and a program for executing the method.

[0002]

2. Description of the Related Art In recent years, there has been a strong social demand for the design and development of industrial products that are in harmony with the global environment. In reality, there are various difficulties involved in the automatic realization. For example, in order to realize this energy saving, first, the energy consumption characteristic of the energy saving target is grasped, this characteristic is analyzed, product development for achieving energy saving, or introduction selection of the product, this product In reality, various factors such as the cost-effectiveness associated with the introduction of are complicatedly entangled, and it is not possible to easily achieve energy saving.

On the other hand, with the development of computer technology in recent years, it has become possible to easily measure the amount of energy and resource consumption using a computer and manage the data.

For example, Japanese Unexamined Patent Publication No. 9-318665 discloses an energy and resource consumption management system that visually informs the flow of energy and resources and the consumption situation. FIG. 24 is a diagram showing an outline of the configuration of this conventional energy and resource consumption management system. This energy and resource consumption management system includes measuring means 31 to 35 for measuring consumption of various kinds of energy and resources such as a power meter.
A data logger or A / D converter 36 for converting the analog output data from these measuring means 31 to 35 into a digital form, and a predetermined display according to various data that has been input in advance based on the digitally converted measurement values. A program computer 37 for calculating the display value of the item and an image display device 39 for displaying the calculated value of the display item calculated by the program computer 37 according to a predetermined format. Further, the program computer 37 and the image display device 39 are R
It is connected by a communication line 38 such as S232C.

[0005] Further, Japanese Patent Application Laid-Open No. 20-320 filed by the applicant
Japanese Patent Publication No. 01-4676 discloses an energy-saving support system for manufacturing equipment and a method for supporting energy-saving of manufacturing equipment for measuring and collecting energy consumption of manufacturing equipment.

In this system having the configuration shown in FIG. 25, the energy consumption amount collecting unit 53 transmits the energy consumption amount measuring device 57 at predetermined intervals to the manufacturing equipment 5.
Measure the energy consumption of 8 etc., store and collect. The energy basic unit calculation unit 54 divides the cumulative total of energy consumption collected for a certain period of time by the corresponding production amount or production amount input from the data input device 52 by the user of the system to obtain the energy basic unit. calculate. Further, the energy basic unit transition graph creation unit 55 plots a set of the above-mentioned collected data measurement time and the corresponding energy basic unit, in which the horizontal axis represents the collected data measurement time and the vertical axis represents the energy basic unit. Create a unit transition graph.
The energy intensity unit characteristic graph creating unit 59 plots a set of the above-mentioned production amount or production amount and the corresponding energy intensity unit, in which the horizontal axis indicates the production amount or production amount and the vertical axis indicates the energy intensity unit. Create a unit characteristic graph. The energy intensity unit characteristic formula determination unit 61 performs linear approximation on the points plotted on the graph to calculate an energy intensity unit characteristic formula, and creates it on the energy intensity unit characteristic graph. The energy basic unit transition graph display unit 56 displays the graph on the display device 51, and the energy basic unit characteristic formula display unit 62 displays a straight line representing the energy basic unit characteristic formula on the graph. , Provide to system users.

[0007]

However, in the conventional energy and resource consumption management system disclosed in Japanese Patent Laid-Open No. 9-318665, the amount of energy and resources currently used is visually confirmed. However, there is a problem in that it is unknown to the user of the resource consumption management system as to how much energy saving the action has. That is, the effect of energy saving was not analyzed using the energy and resources actually consumed, and it was not possible to objectively judge the effect of energy saving.

Further, the energy saving support system for a manufacturing facility and the energy saving support method for a manufacturing facility disclosed in Japanese Patent Laid-Open No. 2001-4676 include a scatter graph of energy intensity and a straight line of its linear approximation. Although the superimposed graphs are displayed, it is difficult for all users of the manufacturing equipment to grasp the energy saving effect of the manufacturing equipment from the displayed scatter graph and the first-order approximation formula. . Also, since no relative and objective indicator of the energy saving effect of manufacturing equipment is provided,
There is a problem that it is a little inconvenient for the user to judge the energy saving effect.

The present invention has been made in view of the above,
In order to support energy-saving measures activities in factories of manufacturing facilities, general households, etc., analyze the presence or absence of energy-saving effects from the coping actions that users have taken to contribute to energy saving and the data collected as a result of coping. It is an object of the present invention to obtain an energy-saving countermeasure support system capable of performing the above, a method thereof, and a program for executing the method. Also, to obtain an energy-saving measure support system capable of saving the user's actions, collected data, and analysis results as energy-consumption related information and energy-saving measure information, a method thereof, and a program for executing the method. Also aim. Furthermore, it is an object of the present invention to obtain an energy-saving countermeasure support system, a method thereof, and a program for executing the method, which enable all users to easily grasp the presence or absence of the energy-saving effect of the system.

[0010]

In order to achieve the above object, an energy saving countermeasure support system according to the present invention comprises:
An energy consumption amount measuring device for measuring an energy consumption amount of an energy saving target, and an energy consumption amount of the energy saving target measured by the energy consumption amount measuring device. Energy basic unit, which is a value divided by the basic unit calculation element, is calculated, and a plurality of set data having a set of the calculated energy basic unit and the value of the basic unit calculating element at the time of measuring the consumed energy amount are set. An energy-saving measure support processing device that creates an energy-intensity unit characteristic graph showing a change in energy intensity unit with respect to the energy intensity calculation element is provided, and the energy consumption amount measuring device and the energy-saving measure assistance processing device form a network. Energy saving measures connected through the above and supporting energy saving measures for the energy-saving target based on the energy basic unit characteristic graph In the assistance system, the energy-saving countermeasure support processing device is configured to perform the energy-saving based on a relationship between a straight line obtained by linearly approximating each point plotted on the energy basic unit characteristic graph and each plotted point. An energy consumption characteristic diagnosis means for diagnosing the energy consumption characteristic of the target is provided.

According to the present invention, the energy consumption amount measuring device for measuring the energy consumption amount of the energy-saving target, and the energy consumption amount of the energy-saving target measured by the energy consumption amount measuring device are used as the energy consumption amount. An energy intensity unit that is a value divided by the energy consumption target intensity unit calculation element at the time of quantity measurement is calculated, and the calculated energy intensity unit value and the value of the energy intensity unit calculation element at the time of measuring the energy consumption And an energy-saving measure support processing device that creates an energy intensity unit characteristic graph showing a change in energy intensity unit with respect to the intensity unit calculation element based on a plurality of sets of data. And an energy-saving measure support processing device are connected via a network, and based on the energy basic unit characteristic graph, energy-saving of the energy-saving target Energy-saving measures support system for supporting the measures are provided. The energy-saving measure support processing device has an energy consumption characteristic diagnosing means, and the energy consumption characteristic diagnosing means linearly approximates each point plotted on the energy basic unit characteristic graph and the plot. The energy consumption characteristic of the energy-saving target is diagnosed based on the relationship with each of the points.

In the energy saving countermeasure support system according to the next invention, in the above invention, the energy consumption characteristic diagnosing means has a slope value of the straight line, a size of distribution of the plotted points with respect to the straight line, and It is characterized in that the energy consumption characteristic is diagnosed by using any one or a combination of two or more of the production amount necks, which represent the basic unit calculation element of the part where the variation in the energy basic unit is large.

According to the present invention, the value of the slope of the straight line,
By using any one or a combination of two or more of the size of the distribution of the plotted points with respect to the straight line and the production amount neck that represents the unit consumption calculation element of the portion where the variation in energy unit consumption is large, The energy consumption characteristic diagnosis means has a function of diagnosing the consumption characteristic.

The energy saving measure support system according to the next invention further comprises, in the above invention, a basic unit characteristic database storing energy consumption related information including the energy consumption characteristic of the energy-saving target, and the energy saving countermeasure. The support processing device stores the energy consumption related information having the energy consumption characteristics required by a system user, and the energy consumption related information having the energy consumption characteristics required by the user of the system. Energy consumption characteristic reference means for extracting from the basic unit characteristic database and providing it to the user.

According to the present invention, there is further provided a basic unit characteristic database in which energy consumption related information including the energy consumption characteristic of the energy-saving target is stored. Further, the energy-saving measure support processing device is further provided with a basic unit characteristic storage means and an energy consumption characteristic reference means. The energy consumption related information of the energy-saving target is stored in the energy intensity characteristic database by the energy intensity characteristic storage means. Then, the energy consumption characteristic reference means extracts the energy consumption related information having the energy consumption characteristic required by the user of the system from the basic unit characteristic database and provides it to the user.

An energy saving countermeasure support system according to the next invention is an energy consumption amount measuring device for measuring an energy consumption amount of an energy saving target and a consumption amount of the energy saving target measured by the energy consumption amount measuring device. An energy intensity unit that is a value obtained by dividing an energy amount by the energy consumption target intensity unit calculation element at the time of measuring the energy consumption amount is calculated, and the calculated energy intensity unit and the energy consumption amount at the time of measuring the energy consumption amount are calculated. An energy intensity unit characteristic graph showing changes in the energy intensity unit for the intensity unit calculation element is created based on a plurality of sets of data including the value of the intensity unit calculation element before and after implementing the energy saving measures. It is obtained by linearly approximating each point plotted on the energy unit characteristic graph before and after the measures. The energy consumption characteristic diagnosis means for diagnosing the energy consumption characteristic of the energy-saving target based on the relationship between the line and the plotted points is compared with the energy consumption characteristic before and after the energy-saving measure is implemented to save energy. An energy-saving effect determination means for determining whether or not there is an energy effect; and an energy-saving measure support processing device, characterized in that the energy consumption measuring device and the energy-saving measure support processing device are connected via a network. To do.

According to the present invention, there is provided an energy saving measure support system in which the energy consumption measuring device and the energy saving measure support processing device are connected via a network. First, the energy consumption measuring device measures the energy consumption of the energy-saving target. The energy consumption amount of the energy-saving target measured by the energy-consumption amount measuring device is measured by the energy-saving measure support processing device before and after the measure unit characteristic graph creating means, An energy intensity unit, which is a value divided by the unit calculation element, is calculated, and a plurality of set data including a set value of the calculated energy intensity unit and a value of the intensity unit calculation element at the time of measuring the consumed energy amount are also included. In addition, energy basic unit characteristic graphs showing changes in the energy basic unit with respect to the basic unit calculation element are created before and after implementing energy saving measures. Next, by the energy consumption characteristic diagnosis means of the energy saving measure support processing device,
The energy consumption characteristic of the energy-saving target is diagnosed on the basis of the relationship between the straight line obtained by linearly approximating each point plotted on the energy basic unit characteristic graph and each plotted point. Then, the energy-saving effect determination means of the energy-saving measure support processing device compares the energy consumption characteristics before and after implementing the energy-saving measures, and determines whether or not there is an energy-saving effect.

In the energy saving measure support system according to the next invention, in the above invention, the energy consumption characteristic diagnosing means is a value of a slope of the straight line, a size of distribution of the plotted points with respect to the straight line, and It is characterized in that the energy consumption characteristic is diagnosed by using any one or a combination of two or more of the production amount necks, which represent the basic unit calculation element of the part where the variation in the energy basic unit is large.

According to the present invention, the value of the slope of the straight line,
By using any one or a combination of two or more of the size of the distribution of the plotted points with respect to the straight line and the production amount neck that represents the unit consumption calculation element of the portion where the variation in energy unit consumption is large, The energy consumption characteristic diagnosis means has a function of diagnosing the consumption characteristic.

The energy saving countermeasure support system according to the next invention further comprises, in the above invention, a basic unit characteristic database storing energy consumption related information including the energy consumption characteristic of the energy-saving target, and the energy saving countermeasure. An energy-saving effect classifying unit that classifies the energy-saving effect determined by the energy-saving effect determining unit into a plurality of different effect levels in stages;
Energy saving effect storage means for storing the classification result of the energy saving effect in the basic unit characteristic database together with the energy consumption related information of the energy-saving target corresponding to the energy saving effect, and the energy saving effect required by the system user. It further comprises: a judgment result target reference means for extracting energy consumption related information of the energy-saving target corresponding to the effect level of the energy effect from the basic unit characteristic database and providing it to the user. .

According to the present invention, there is further provided a basic unit characteristic database storing energy consumption related information including the energy consumption characteristic of the energy-saving target.
When the energy-saving effect classification means of the energy-saving measure support processing device classifies the energy-saving effect judged by the energy-saving effect judging means into a plurality of different effect levels, the energy-saving effect classification. The result is stored in the basic unit characteristic database together with the energy consumption related information of the energy-saving target corresponding to the energy saving effect. Then, the judgment result target reference means of the energy saving measure support processing device extracts energy consumption related information of the energy saving target corresponding to the effect level of the energy saving effect requested by the user of the system from the basic unit characteristic database. , Provided to the user.

An energy-saving measure support system according to the next invention further comprises an energy-saving measure case database for storing energy-saving measure information implemented for an energy-saving target in the above-mentioned invention, wherein the energy-saving measure support processing device is: Energy saving measure history data input means for urging the user to input energy saving measure information performed for the energy-saving target, and the input energy saving measure information,
Energy-saving measure history storage means for storing the energy-saving measure case database in association with the energy-consumption related information of the energy-saving target is further included.

According to the present invention, there is further provided an energy-saving measure case database that stores energy-saving measure information implemented for the energy-saving target. The energy saving measure history data input means of the energy saving measure support processing device prompts the user to input the energy saving measure information executed for the energy saving target. Then, the energy-saving measure history storage means of the energy-saving measure support processing device stores the inputted energy-saving measure information in the energy-saving measure case database in association with the energy-consumption related information of the energy-saving target. .

In the energy saving measure support system according to the next invention, in the above invention, the energy saving measure support processing device sets a plurality of reference modes corresponding to the plurality of effect levels, and a system user can set a plurality of reference modes. Energy saving measure history reference mode setting means for setting a requested reference mode, and energy saving measure history extraction for extracting energy saving measure information corresponding to the reference mode set in the energy saving measure history reference mode setting means from the energy saving measure case database Means and an extracted energy saving measure history display means for providing the extracted energy saving measure information to the user.

According to the present invention, there is provided an energy saving measure support system further including, as the energy saving measure support processing device, an energy saving measure history reference mode setting means, an energy saving measure history extracting means, and an extracted energy saving measure history display means. . First, the energy saving measure history reference mode setting means sets a plurality of reference modes corresponding to the plurality of effect levels, and sets a reference mode required by the user of the system. Next, the energy saving measure history extraction means extracts energy saving measure information corresponding to the reference mode set by the energy saving measure history reference mode setting means from the energy saving measure case database. Then, the extracted energy saving measure history display means provides the extracted energy saving measure information to the user.

In the energy saving measure support system according to the next invention, in the above invention, the energy saving measure support processing device has the same effect level as the effect level classified by the energy saving effect classification means, and Energy saving effect history extraction means for extracting energy saving measure information having energy consumption characteristics matching the energy consumption characteristics obtained by the energy consumption characteristic diagnosing means from the energy saving countermeasure history database, and the extracted energy saving countermeasure information And an energy saving effect history display unit for each characteristic for providing the system user with the above.

According to the present invention, there is provided, as the energy-saving measure support processing device, an energy-saving measure support system further including characteristic-specific energy-saving effect history extraction means and characteristic-specific energy saving effect history display means. An energy consumption characteristic that has the same effect level as the effect level classified by the energy saving effect classification means by the characteristic-based energy saving effect history extraction means and that matches the energy consumption characteristic obtained by the energy consumption characteristic diagnosis means. The energy saving measure information that the user has is extracted from the energy saving measure history database. Then, by the characteristic-based energy-saving effect history display means,
The extracted energy saving measure information is provided to the user of the system.

In the energy saving measure support system according to the next invention, in the above invention, the energy saving measure support processing device converts the amount of energy consumption measured by the energy consumption amount measuring device into a carbon amount. Means for calculating the carbon intensity, which is a value obtained by dividing the converted carbon amount by the energy intensity calculation element at the time of measuring the energy consumption, and calculating the value of the carbon intensity and the calculated energy consumption. Based on a plurality of sets of data having a value of the basic unit calculation element as a set, a carbon basic unit characteristic graph creating means for creating a carbon basic unit characteristic graph showing a change in the carbon basic unit with respect to the basic unit calculating element, Is further included.

According to the present invention, there is provided an energy-saving measure support system further comprising, as the energy-saving measure support processing device, a carbon amount conversion means and a carbon basic unit characteristic graph creation means. First, the carbon amount conversion means converts the amount of consumed energy measured by the consumed energy amount measuring device into the amount of carbon. Then, the carbon basic unit characteristic graph creating means calculates a carbon basic unit that is a value obtained by dividing the converted carbon amount by the basic unit calculating element at the time of measuring the consumed energy amount, and the calculated carbon basic unit. Based on a plurality of sets of data, which is a set of the value of and the value of the basic unit calculation element at the time of measuring the consumed energy, a carbon basic unit characteristic graph showing changes in the carbon basic unit with respect to the basic unit calculation element is created. It

In the energy saving countermeasure support method according to the next invention, the energy consumption amount measuring device measures the energy consumption amount of the energy saving target, and based on the measurement result, the energy saving target energy saving is performed. In an energy-saving measure support method for supporting measures, the energy consumption amount of the energy-saving target measured by the energy consumption amount measuring device is divided by a basic unit calculation element of the energy-saving target at the time of measuring the energy consumption amount. Energy basic unit which is a value calculated, and the basic unit is calculated based on a plurality of sets of data including a set value of the calculated basic unit of energy and a value of the basic unit calculation element at the time of measuring the consumed energy amount. An energy intensity unit characteristic graph creating step of creating an energy intensity unit characteristic graph showing a change in energy intensity unit with respect to a calculation element,
The value of the slope of a straight line obtained by linearly approximating each point plotted on the energy basic unit characteristic graph, the size of the distribution of the plotted points with respect to the straight line, and the variation of the energy basic unit An energy consumption characteristic diagnosing step of diagnosing the energy consumption characteristic of the energy-saving target by using any one or a combination of two or more of the production amount necks that represent the basic unit calculation element.

According to the present invention, the energy consumption measuring device measures the energy consumption of the energy-saving target, and based on the measurement result, the energy-saving measure for supporting the energy saving of the energy-saving target. Measure support methods are provided. First, in the energy intensity unit characteristic graph creating step, the energy consumption amount of the energy saving target measured by the energy consumption amount measuring device is divided by the energy consumption target energy consumption unit measuring element at the time of measuring the energy consumption amount. Energy basic unit that is a value calculated based on a plurality of set data including a value of the calculated energy basic unit and a value of the basic unit calculation element at the time of measuring the consumed energy amount. An energy intensity unit characteristic graph showing a change in energy intensity with respect to the unit calculation element is created. Then, in the energy consumption characteristic diagnosing step, the value of the slope of a straight line obtained by linearly approximating each point plotted on the energy intensity characteristic graph, the size of the distribution of the plotted points with respect to the straight line, and The energy consumption characteristic of the energy-saving target is diagnosed by using any one or a combination of two or more of the production amount necks that represent the basic unit calculation element of the portion where the variation in the energy basic unit is large.

In the energy saving countermeasure support method according to the next invention, in the above invention, a basic unit characteristic storage for storing energy consumption related information including the energy consumption characteristic of the energy-saving target in the basic unit characteristic database. And a step of extracting the energy consumption related information having the energy consumption characteristic required by the user of the system from the basic unit characteristic database and providing it to the user. Characterize.

According to the present invention, there is provided an energy saving countermeasure support method further including a unit characteristic storing step and an energy consumption characteristic referring step. First, in the basic unit characteristic storing step, energy consumption related information including the energy consumption characteristic of the energy-saving target is stored in the basic unit characteristic database. Then, in the energy consumption characteristic reference step, the energy consumption related information having the energy consumption characteristic required by the user of the system is extracted from the basic unit characteristic database and provided to the user.

In the energy-saving countermeasure support method according to the next invention, the energy-consumption amount measuring device measures the energy consumption amount of the energy-saving target, and based on the measurement result, the energy-saving target energy saving is performed. In an energy-saving measure support method for supporting measures, the energy consumption amount of the energy-saving target measured by the energy consumption amount measuring device is divided by a basic unit calculation element of the energy-saving target at the time of measuring the energy consumption amount. Energy basic unit, which is the value calculated, and based on a plurality of set data having a set value of the calculated energy basic unit and a value of the basic unit calculation element at the time of measuring the consumed energy amount, the basic unit Before energy saving measures, create energy energy consumption characteristic graphs showing changes in energy energy intensity for calculated elements before and after implementing energy conservation measures. A basic unit characteristic graph creating step, a linear inclination value obtained by linearly approximating each point plotted on the energy basic unit characteristic graph, a distribution size of the plotted point with respect to the straight line, and energy An energy consumption characteristic diagnosing step of diagnosing the energy consumption characteristic of the energy-saving target by using any one or a combination of two or more of the production necks representing the basic unit calculation element of the portion where the variation in the basic unit is large, An energy saving effect judging step of judging whether or not there is an energy saving effect by comparing the energy consumption characteristics before and after implementing the energy saving measure.

According to the present invention, the energy consumption measuring device measures the energy consumption of the energy-saving target, and based on the measurement result, the energy-saving measure for supporting the energy-saving measure of the energy-saving target. Measure support methods are provided. First, the energy consumption amount of the energy-saving target measured by the energy-consumption amount measuring device is calculated by the energy consumption-measurement basic-unit calculation element at the time of measuring the energy consumption amount by the energy consumption amount measuring device before and after the countermeasure. An energy intensity unit that is a divided value is calculated, and based on a plurality of set data having a value of the calculated energy intensity unit and a value of the intensity unit calculation element at the time of measuring the consumed energy amount as a set, An energy intensity unit characteristic graph showing a change in energy intensity with respect to the intensity calculation element is created before and after implementing the energy saving measures. Next, by the energy consumption characteristic diagnosis step, the value of the slope of the straight line obtained by linearly approximating each point plotted on the energy intensity unit characteristic graph, the size of the distribution of the plotted points with respect to the straight line, Also, the energy consumption characteristic of the energy-saving target is diagnosed by using any one or a combination of two or more of the production amount necks that represent the basic unit calculation element of the portion where the variation of the energy basic unit is large. Then, in the energy-saving effect determination step, the energy consumption characteristics before and after the energy-saving measures are implemented are compared to determine whether or not the energy-saving effect is present.

In the energy saving measure support method according to the next invention, in the above invention, the energy saving effect classifying step for classifying the energy saving effect judged in the energy saving effect judging step into a plurality of different effect levels stepwise. And an energy saving effect storing step of storing the classification result of the energy saving effect in the basic unit characteristic database together with energy consumption related information including the energy consumption characteristic of the energy-saving target corresponding to the energy saving effect. And a judgment result target reference step of extracting energy-consumption related information of the energy-saving target corresponding to the effect level of the energy-saving effect required by the user of the system from the basic unit characteristic database and providing it to the user And are further included.

According to the present invention, there is provided an energy saving countermeasure support method further including an energy saving effect classification step, an energy saving effect storing step, and a judgment result target reference step. First, in the energy saving effect classification step, the energy saving effect determined in the energy saving effect determination step is classified into a plurality of different effect levels stepwise. Next, in the energy-saving effect storing step, the classification result of the energy-saving effect is stored in the basic unit characteristic database together with the energy-consumption related information including the energy consumption characteristic of the energy-saving target corresponding to the energy-saving effect. , Stored. Then, the energy consumption related information of the energy-saving target corresponding to the effect level of the energy-saving effect required by the user of the system is extracted from the basic unit characteristic database by the determination result target reference step, and is sent to the user. Provided.

An energy saving measure support method according to the next invention is the above invention, wherein an energy saving measure history data input step of prompting the user to input energy saving measure information carried out for the energy-saving target, The input energy-saving measure information is stored in association with the energy-consumption related information of the energy-saving target in the energy-saving measure case database that stores the energy-saving measure information that has been implemented for the energy-saving target in the past. The energy saving measure history storing step is further included.

According to the present invention, there is provided an energy saving measure support method further including an energy saving measure history data input step and an energy saving measure history storing step. First, in the energy saving measure history data input step, the user is prompted to input the energy saving measure information executed for the energy saving target. Then, by the energy saving measure history storing step, to the energy saving measure case database that stores the energy saving measure information that has been implemented for the energy saving target in the past,
The input energy-saving measure information is stored in association with the energy-consumption related information of the energy-saving target.

The energy saving measure support method according to the next invention is the energy saving method according to the above invention, wherein a plurality of reference modes are set corresponding to the plurality of effect levels and a reference mode required by a user of the system is set. A measure history reference mode setting step, an energy saving measure history extraction step of extracting energy saving measure information corresponding to the reference mode set in the energy saving measure history reference mode setting step from the energy saving measure case database, and the extracted energy saving measure history extracting step. And an energy saving measure history display step of providing energy measure information to the user.

According to the present invention, there is provided an energy saving measure support method further including an energy saving measure history reference mode setting step, an energy saving measure history extracting step, and an extracted energy saving measure history display step. In the energy saving countermeasure history reference mode setting step, a plurality of reference modes are set corresponding to the plurality of effect levels, and a reference mode required by the user of the system is set. Next, in the energy saving measure history extraction step, energy saving measure information corresponding to the reference mode set in the energy saving measure history reference mode setting step is extracted from the energy saving measure case database. And
The extracted energy saving measure information is provided to the user by the extracted energy saving measure history display step.

An energy saving countermeasure support method according to the next invention has the same effect level as the effect level classified in the energy saving effect classification step in the above invention, and is obtained in the energy consumption characteristic diagnosis step. Energy-saving measure history extraction step for extracting energy-saving measure information having an energy-consumption characteristic that matches the energy-consumption characteristic from the energy-saving measure history database, and the extracted energy-saving measure information to the system user. And a step of displaying a characteristic-based energy-saving effect history display.

According to the present invention, there is provided an energy saving countermeasure support method further including a characteristic energy saving effect history extraction step and a characteristic energy saving effect history display step. First, an energy consumption that has the same effect level as the effect level classified in the energy saving effect classification step by the characteristic-specific energy saving effect history extraction step and that matches the energy consumption characteristic obtained in the energy consumption characteristic diagnosis step. Energy saving measure information having characteristics is extracted from the energy saving measure history database. Then, the extracted energy saving measure information is provided to the user of the system by the characteristic-based energy saving effect history display step.

An energy saving countermeasure support method according to the next invention is the above invention, wherein a carbon amount conversion step of converting the energy consumption amount measured by the energy consumption amount measuring device into a carbon amount, and the converted carbon amount. The amount of carbon is calculated by dividing the amount by the basic unit calculation element at the time of measuring the consumed energy amount, and the calculated value of the carbon basic unit and the value of the basic unit calculation element at the time of measuring the consumed energy are calculated. A carbon intensity characteristic graph creating step of creating a carbon intensity characteristic graph showing a change in carbon intensity with respect to the intensity calculation element based on a plurality of sets of data. And

According to the present invention, there is provided a method for supporting energy saving measures, which further includes a carbon amount conversion step and a carbon basic unit characteristic graph creation step. First, in the carbon amount conversion step, the consumed energy amount measured by the consumed energy amount measuring device is converted into the carbon amount. Then, in the carbon intensity characteristic graph creating step, a carbon intensity which is a value obtained by dividing the converted carbon amount by the intensity calculation element at the time of measuring the energy consumption is calculated, and the calculated carbon intensity is calculated. Based on a plurality of sets of data having a plurality of values and the value of the basic unit calculation element at the time of measuring the energy consumption,
A carbon intensity characteristic graph showing changes in the carbon intensity with respect to the intensity calculation element is created.

A program for causing a computer to execute the energy saving countermeasure support method according to the next invention is characterized in that the method described in any one of the above-mentioned inventions is a program for causing the computer to execute.

According to the present invention, by using the method described in any one of the above-mentioned inventions as a program, it is possible to execute the operation of any one of the above-mentioned methods by a computer.

[0048]

BEST MODE FOR CARRYING OUT THE INVENTION Preferred embodiments of an energy-saving countermeasure support system and method according to the present invention and a program for executing the method will be described in detail below with reference to the accompanying drawings.

Embodiment 1. FIG. 1 is a block diagram showing a configuration of a first embodiment of an energy saving countermeasure support system according to the present invention. In FIG. 1, the energy-saving countermeasure support system includes an input / output device 100, an energy-saving countermeasure support processing device 101, and an energy consumption measuring device 5, which are connected by a communication line N. Communication between the input / output device 100 and the energy saving measure support processing device 101 and between the energy saving measure support processing device 101 and the energy consumption amount measuring device 5 have a length required to install them at the same place. The line N may be used, or the Internet or LAN (Local Area Network) may be used.
The communication line N may be connected using a network such as k).

The input / output device 100 has a display device 1 and a data input device 2. Further, the energy-saving measure support processing device 101 has an energy basic unit characteristic graph creating section 3 and an energy consumption characteristic diagnosing section 4. Here, the energy consumption measuring device 5 is an energy-saving target 6 such as a manufacturing facility.
A power measuring sensor or the like is connected to the power supply cables of to measure the energy consumption. The energy consumption measuring device 5 is not limited to the manufacturing equipment and may be any energy-saving target, and can measure the energy consumption of the entire factory, the manufacturing line, the building, the hotel, the general household, or the like. It can be installed for all things. Further, the energy-saving target 6 may be one or more.

The operation processing procedure of the energy-saving countermeasure support system shown in FIG. 1 will now be described with reference to the flowchart shown in FIG. First, the energy intensity unit characteristic graph creation unit 3 uses the energy-saving target 6 collected by the energy consumption amount measuring device 5 of the energy-saving countermeasure support system.
Input process of reading the data group consisting of the energy consumption of the system and the production amount or the production value at the time of measuring the energy consumption input by the user of the system from the data input device 2 (step ST1). .

Further, the energy intensity unit characteristic graph creating section 3
Calculates the energy consumption rate which is a value obtained by dividing the input consumed energy amount by the corresponding production amount or production amount (step ST2). Then, for the set of the calculated value of energy intensity and the corresponding value of production or output, the value of production or output is plotted on the horizontal axis and the value of energy production on the vertical axis. A production graph (production amount) -energy basic unit scatter graph (hereinafter referred to as energy basic unit characteristic graph) is created (step ST3). This energy basic unit characteristic graph is a scatter graph that explicitly expresses the scatter tendency of the value of the energy basic unit as the production amount or the production amount increases.

Next, the energy consumption characteristic diagnosing section 4 performs a linear approximation to the points plotted on the generated energy intensity unit characteristic graph, and calculates a value representing the slope of the linear approximation obtained as a result (step). ST4). Further, the size of the distribution with respect to the straight line represented by the linear approximation formula of the linear approximation of the points plotted on the energy intensity graph is calculated (step ST5). Further, on the energy intensity unit characteristic graph, the production of a portion where the value of the energy intensity unit varies in the vicinity of a certain production amount or production amount, that is, a point where the points plotted in the vertical axis direction greatly vary. The quantity or the production amount is used as a production quantity neck to check the presence or absence thereof (step ST6).

The energy consumption characteristic diagnosing section 4 determines whether the inclination value of the energy intensity characteristic graph obtained in steps ST4 to ST6, the size of the distribution of the plotted points, and the presence / absence of the production quantity neck are included. A process of calculating the energy consumption characteristic is performed by combining the two data (step ST7).

FIG. 3 is an example of a table for classifying the energy consumption characteristics in the diagnosis of the energy consumption characteristic diagnosis unit 4. In the classification table of FIG. 3, the energy consumption characteristics are classified as follows.

First, if the slope of the first-order approximation formula is negative,
Classify them as either zero or positive. The energy consumption characteristic deteriorates in the order of classification by this inclination. That is, the energy saving effect is “improved (effective)”, “no change” or “deteriorated”.

Next, these classifications are classified according to how much the plotted points deviate from the first-order approximation formula. For example, in the case of FIG. 3, the degree of distribution is classified into three cases of large, medium, and small. Here, the larger the distribution of plotted points with respect to the first-order approximation formula, the greater the variation, and it cannot be said that energy is being used efficiently, and the energy consumption characteristic deteriorates. As a method of classification based on this distribution, for example, a value obtained by squaring a correlation coefficient can be used. The value obtained by squaring the correlation coefficient is represented by a number between 0 and 1, and the closer to “1”, the smaller the variation (distribution), and the closer to “0”, the greater the variation (distribution). By using such a numerical index, it becomes possible to easily classify the degree of distribution.

Then, each of the classifications made according to the size of the distribution is further classified by whether or not the energy basic unit characteristic graph has a production neck. In general, the energy consumption characteristics are worse when there is a production neck than when there is no neck. The reason is that if there is a production neck even in a part, there is a variation in the energy intensity of that part, so that efficient energy use is not achieved.

As described above, the energy consumption is based on the slope of the linear approximation formula, the size of the distribution of the plotted points, and the relation between the linear approximation formula such as the production neck and the plotted points. It is possible to classify the characteristics by numerically expressing them. And this is in FIG.
It is indicated that the larger the numerical value is, the larger the energy saving neck degree is, that is, the energy saving effect is extremely poor. When this FIG. 3 is used, the energy consumption characteristic diagnosis unit 4 calculates the energy consumption characteristic in step ST7 described above, for example, by plotting a positive value for the slope of the linear approximation equation of the energy intensity unit characteristic graph. When the point distribution is large and there is a production neck, the energy consumption characteristic is determined to be "18", which is the most wasteful energy consumption. On the contrary, the energy consumption characteristic when the slope of the first-order approximation formula of the energy intensity unit characteristic graph is negative, the distribution of the plotted points is small, and there is no production neck, the energy consumption is the most "1". It is determined that

Note that FIG. 3 is an example of classification of energy consumption characteristics, and the number of classification steps can be reduced or increased. For example, the production neck may be removed from the criteria for classification and the whole may be evaluated in nine levels, or the distribution of the plotted points may be classified in five levels rather than three levels, and the whole may be evaluated in 30 levels. You may In addition, when performing classification, not only classification based on the slope of the above-described first-order approximation formula, the size of the distribution of the plotted points, and the production neck, but these may be used alone or in any combination of the two. It can also be classified. Further, the above-described classification can be performed by replacing the absolute value of the energy intensity or the absolute value of the first-order approximation formula with these criteria, or in addition to these criteria.

As described above, the calculated energy consumption characteristic is displayed and output on the display device 1 and the present process is terminated (step ST8).

In the above description, the probability that the slope of the first-order approximation formula of the energy intensity unit characteristic graph is zero is considered to be very low. Therefore,
The user of the energy-saving support countermeasure system of the present invention can set the case where the slope of the first-order approximation equation is zero to an arbitrary range. For example, if the absolute value of the slope of the first-order approximation formula is zero up to the fifth decimal point, consider that the slope is zero, and set a standard such that
It is determined whether the slope of the first-order approximation formula is positive, negative, or zero.

Further, in the present invention, when the energy-saving target 6 is a manufacturing facility such as a factory accompanied by production, the above-mentioned production amount and production amount can be used. However, when the energy-saving target 6 does not accompany the production, the production amount or the production amount cannot be used when obtaining the energy intensity, so the energy intensity unit is calculated using an index similar to the production amount or the production amount. Have to ask. For example, in the case of a building, the floor area, the number of people in the building, etc. can be used instead of the production amount or the production amount. The energy consumption rate at this time is the energy consumption amount per unit area in the former case, and represents the energy consumption amount per person in the latter case. In the case of a hotel, the floor area, the number of people in the hotel, the number of guests, the monthly sales, and the like can be used instead of the production amount or the production amount as in the case of the building. The energy intensity at this time represents the energy consumption per guest when the number of guests is used, and in the case of monthly sales, the energy consumption relative to the January sales. It will be. Further, when the present invention is applied to a general household, the floor area, the number of families, and the like can be used instead of the production amount or the production amount as in the case of a building or a hotel. As described above, the production amount and the production amount used when the production is performed, and the floor area, the sales amount, the number of people, and the like used when the production is not performed are referred to as the basic unit calculation element in the present invention.

According to the first embodiment, the value of the slope obtained by linearly approximating the points plotted on the generated energy intensity unit characteristic graph, the size of the distribution of the plotted points, and a certain production The presence or absence of a production neck that indicates the variation of energy intensity in the vicinity of the energy intensity calculation element such as quantity or output is extracted, and the energy consumption characteristics are calculated from these three types of data to diagnose the energy saving effect of the system. can do.

Embodiment 2. FIG. 4 is a block diagram showing the configuration of the second embodiment of the energy saving countermeasure support system according to the present invention. In FIG. 4, in this energy saving countermeasure support system, the energy saving countermeasure support processing device 101 described in the first embodiment further includes a basic unit characteristic storage unit 7 and an energy consumption characteristic reference unit 8, and the communication line N is The unit characteristic database 9 is connected. Other configurations are the same as those in the first embodiment, and the same components are designated by the same reference numerals as those in the above-described first embodiment and the description thereof is omitted.

The operation processing procedure of the energy saving countermeasure support system shown in FIG. 4 will now be described with reference to the flowchart shown in FIG. First, FIG. 2 of the first embodiment.
The energy consumption characteristics are calculated by performing the same processing as steps ST1 to ST7 described in (steps ST11 to ST11).
ST17). That is, for the set of the value of the basic unit calculation element and the value of the calculated basic unit of energy corresponding to this,
An energy intensity unit characteristic graph, which is a scatter graph in which an abscissa axis represents an elemental intensity calculation element and an ordinate axis represents an energy intensity unit value, is created. Then, the slope of the first-order approximation formula of this energy unit characteristic graph, the size of the distribution of the plotted points, and the presence / absence of the production amount neck are calculated, and the energy consumption characteristic is judged.

After that, the basic unit characteristic storage unit 7 registers energy consumption related information such as the energy consumption characteristic and the energy basic unit characteristic graph obtained by the energy consumption characteristic diagnosis unit 4 in the basic unit characteristic database 9 (step ST1).
8). The energy consumption characteristic reference unit 8 sets the value of the energy consumption characteristic that the user of the energy saving countermeasure support system inputs from the data input device 2 and wants to refer to (step ST19). The energy consumption related information of the energy-saving target 6 that matches the determined energy consumption characteristic is extracted from the basic unit characteristic database 9 (step ST20). Then, a providing process of displaying and outputting the extracted energy consumption related information to the display device 1 is performed (step ST21), and the present process is ended.

Here, the energy consumption characteristic input by the user can be performed by using the energy consumption characteristic classification table illustrated in FIG. For example, as illustrated in FIG.
A method of inputting from the data input device 2 the energy saving neck degree corresponding to the energy consumption related information that the user wants to refer to from the energy saving neck degrees indicated by the numerical values up to 18 can be considered.

According to the second embodiment, the energy consumption characteristic reference section 8 automatically supplies energy consumption related information that matches the energy consumption characteristic desired by the user of the energy saving countermeasure support system from the basic characteristic database. It can be searched and displayed on the display device 1. And
The user can refer to the results of the energy saving measures that have been implemented in the past and examine the details.

Embodiment 3. FIG. 6 is a block diagram showing the configuration of the third embodiment of the energy saving countermeasure support system according to the present invention. 6, in this energy saving measure support system, the energy intensity unit characteristic graph creating unit 3 in the energy saving measure assisting processing apparatus 101 shown in the first embodiment is replaced with a before and after measure intensity unit property graph creating unit 10, and The energy saving effect determination unit 11 is further included. Other configurations are the same as those in the first embodiment, and the same components are designated by the same reference numerals as those in the above-described first embodiment and the description thereof is omitted.

Here, the operation processing procedure of the energy saving countermeasure support system shown in FIG. 6 will be described with reference to the flowchart shown in FIG. First, the unit energy consumption characteristic graph preparation unit 10 before and after the countermeasure measures the energy consumption amount of the energy-saving target 6 collected by the energy consumption amount measuring device 5 before the energy-saving measure and the corresponding data of the user of the system. A process of reading a data group of a set of values of the basic unit calculation element at the time of measuring the consumed energy input from the input device 2 is performed (step ST31).

In addition, the unit graph of characteristic curve before and after countermeasures 1
0 calculates the energy basic unit that is a value obtained by dividing the input energy consumption amount before the energy saving measure by the corresponding basic unit calculation element (step ST32). Further, the pre- and post-countermeasure intensity unit characteristic graph creating unit 10 takes the value of the intensity unit calculation element on the horizontal axis for the set of the calculated energy intensity unit value and the corresponding value of the intensity unit calculation element, An energy intensity unit characteristic graph before energy saving measures, in which the value of energy intensity unit is taken on the vertical axis, is created (step ST3).
3). Then, the unit characteristic graph preparation unit 10 before and after countermeasures
Calculates the slope of the approximate straight line, the size of the distribution of the plotted points with respect to the approximate straight line, and the production amount neck from the first-order approximate expression of the energy intensity unit characteristic graph before energy saving measures (step ST34).

Thereafter, the energy consumption characteristic diagnosing section 4 determines the slope of the primary approximation formula of the energy intensity unit characteristic graph calculated in step ST34, the size of the distribution of the plotted points with respect to the approximation straight line, the production neck, and the like. The energy consumption characteristics before energy saving measures are obtained from the primary approximation formula and the plotted relationship between the points based on the energy consumption characteristics classification table shown in FIG. 3 (step ST35).

Next, the pre- and post-countermeasure intensity unit characteristic graph creating section 10 determines the energy consumption amount of the energy-saving target 6 collected by the energy-consumption amount measuring device 5 after the energy-saving measure and the user of the system. A process of reading a data group of a set of values of the basic unit calculation element at the time of measuring the consumed energy input from the data input device 2 is performed (step ST36). In addition, before and after countermeasures characteristic graph creation unit 1
0 calculates an energy basic unit that is a value obtained by dividing the input energy consumption after energy saving measures by the corresponding basic unit calculation element (step ST37), and further calculates the calculated energy basic unit value. And the value of the basic unit calculation element corresponding to that, the horizontal axis shows the basic unit calculation element and the vertical axis shows the value of the energy basic unit, and the energy basic unit characteristic graph after energy saving measures is created. (Step ST3
8).

Then, the pre- and post-countermeasure unit characteristic graph creating unit 10 determines the slope of the approximate straight line from the primary approximate expression of the energy unit characteristic graph after energy saving measures, the size of the distribution of the plotted points with respect to the approximate line, And the production amount neck is calculated (step ST39).

Thereafter, the energy consumption characteristic diagnosing unit 4 determines from the slope of the linear approximation formula of the energy intensity unit characteristic graph calculated in step ST38, the size of the distribution from the approximated straight line of the plotted points, and the production amount neck. , Based on the energy consumption characteristic classification table shown in FIG. 3 (step ST4).
0).

The energy saving effect judging section 11 determines in step S
By comparing the energy consumption characteristics before and after the measures obtained in T35 and step ST40, it is determined whether or not the energy saving measures of the current energy-saving target 6 are effective (step ST41). Then, a providing process for displaying and outputting the determination result on the display device 1 is performed (step ST42), and this process ends.

FIG. 8 shows an example of a display screen for displaying the result of determination as to whether or not there is an energy saving effect before and after the energy saving measures. In the figure, a graph 801 displayed near the center of the upper part of the display screen 800 is an energy intensity unit characteristic graph before and after energy saving measures, and a change pattern 802 and a comment 803 are provided below it. The numerical values shown in the change pattern 802 are the numerical values shown in the energy consumption characteristic classification table of FIG.
Changes in energy consumption characteristics are shown. In the example shown in FIG. 8, it is shown that the energy consumption characteristic is improved from 18 which has the largest energy saving neck degree to 6. Further, the comment 803 shows the result of the determination of the energy saving effect.

According to the third embodiment, the user of the energy-saving countermeasure support system diagnoses whether or not the effect of the energy-saving countermeasures carried out on the desired energy-saving target 6 is effective. Results can be easily provided.

Fourth Embodiment FIG. 9 is a block diagram showing the configuration of the embodiment 4 of the energy saving countermeasure support system according to the present invention. 9, in this energy saving countermeasure support system, the energy saving countermeasure support processing device 101 described in the third embodiment has the energy saving effect classification unit 12, the energy saving effect storage unit 13, and the determination result target reference unit 14.
In addition, the communication line N has a basic unit characteristic database 9
Are connected. Other configurations are the same as those in the third embodiment, and the same components are designated by the same reference numerals as those in the above-described third embodiment and the description thereof is omitted.

Here, the operation processing procedure of the energy-saving countermeasure support system shown in FIG. 9 will be described with reference to the flowcharts shown in FIGS. First, steps ST31 to ST41 described in FIG. 7 of the third embodiment.
The same process is performed to determine whether there is an energy saving effect (steps ST51 to ST61). That is,
For the set of the value of the basic unit calculation element and the corresponding value of the energy basic unit of the calculated consumed energy, the horizontal axis shows the basic unit calculation element and the vertical axis shows the value of the energy basic unit. Energy intensity unit characteristic graphs are created before and after energy saving measures. Then, the slope of the linearly approximated straight line of the energy intensity unit characteristic graph before and after these energy saving measures, the size of the distribution of the plotted points, and the production neck are calculated to determine whether or not there is an energy saving effect. judge.

After that, the energy-saving effect classification unit 12 determines from the result determined by the energy-saving effect determination unit 11 that
When there is an energy saving effect (Yes in step ST62)
In the case of s), it is recognized as "effective" data (step ST64). On the other hand, when it cannot be said that the energy saving effect is effective (No in step ST62), it is determined whether or not the energy saving effect is further changed (step ST63). When there is no change in the energy saving effect (Yes in step ST63), the data is recognized as "no change" (step ST65), and conversely, when there is a change in the energy saving effect (step ST63). In the case of No), it is recognized as "deteriorated" data (step ST66).

Here, regarding the energy saving, each judgment of "effective", "no change" and "deteriorated" is based on the energy consumption characteristic classification shown in FIG. 3 of the first embodiment. This is the same idea, that is, the slopes of the first-order approximation formula are negative, zero, and positive, respectively.

The energy saving effect storage section 13 stores a data group concerning the diagnosis result of the energy saving effect recognized in steps ST64 to ST66, together with the diagnosis result.
Basic unit characteristic database 9 as energy consumption related information
Is registered (step ST67).

The determination result target reference unit 14 sets the energy saving effect classification mode that the user of the energy saving countermeasure support system inputs from the data input device 2 and wants to refer to (step). ST6
8). Here, the classification mode in the fourth embodiment indicates the effect level of the energy saving effect in the energy saving measures implemented in the past, and here, the energy saving effect is “effective” and “changed”. There are three classifications: "no" and "worse".

Energy consumption related information corresponding to the classification mode set by the judgment result target reference unit 14 is extracted from the basic unit characteristic database 9 (step ST69),
A providing process of displaying and outputting the extracted energy consumption-related information on the display device 1 is performed (step ST70), and this process ends.

In the above description, as the classification method, the energy saving effect is classified into three types, "effective", "no change" and "deteriorated", but in the first embodiment. As described above, it is possible to classify the effect level into more detailed levels. For example, as illustrated in FIG. 3, it is possible to classify into eighteen levels.

According to the fourth embodiment, the desired energy-saving effect judgment result input by the user of the energy-saving countermeasure support system is automatically selected from the energy-saving countermeasure activities carried out in the past. Since the basic unit characteristic database 9 is searched and the result is displayed on the display device 1, the user can easily confirm the energy saving effect by comparing the present data with the past data. You can

Embodiment 5. FIG. 12 is a block diagram showing the configuration of the fifth embodiment of the energy saving countermeasure support system according to the present invention. 12, in this energy-saving countermeasure support system, the energy-saving countermeasure support processing device 101 described in the fourth embodiment further includes an energy-saving countermeasure effect history data input unit 16 and an energy-saving countermeasure effect history storage unit 17, and a communication line. Energy saving measures case database 15 for N
Are further connected. The other configuration is the third embodiment.
And 4 and the same components are assigned the same reference numerals as those of the above-described third and fourth embodiments and the description thereof is omitted.

Here, the operation processing procedure of the energy saving countermeasure support system shown in FIG. 12 will be described with reference to the flow charts shown in FIGS. First, step ST5 described in FIGS. 10 and 11 of the fourth embodiment.
The same processing as 1 to ST67 is performed to determine whether or not there is an energy saving effect, and based on each determination result, energy consumption characteristics and energy consumption related information regarding energy consumption are registered in the basic unit characteristic database. Processing is performed (steps ST81 to ST97).
That is, for the set of the value of the basic unit calculation element and the value of the energy basic unit of the calculated consumed energy corresponding thereto, the horizontal axis shows the basic unit calculation element and the vertical axis shows the value of the energy basic unit. An energy intensity unit characteristic graph is taken before and after energy saving measures. The slope of the linearly approximated straight line of the energy intensity graph before and after these energy saving measures, the size of the distribution of the plotted points,
Then, the production amount neck is calculated, and it is determined whether the effect of energy saving is effective, has not changed, or has deteriorated. Then, together with the respective determination results, energy consumption related information such as the energy consumption characteristic and the energy basic unit characteristic graph which are the basis of the determination are registered in the basic unit characteristic database 9.

After that, the energy saving measure effect history data input unit 16 prompts the user of the energy saving measure support system to
Encourage the user to enter energy-saving measure information, which is the measure activity data implemented before and after the energy-saving measure. For example, by displaying a message on the display device 1 for prompting the user to input the energy saving measure information performed before and after the energy saving measure, or separately or together with the message.
By displaying on the display device 1 a fixed form for inputting the energy saving measure information implemented in the energy saving measure, the user can be prompted to input data. In response to this, the user inputs energy saving countermeasure information from the data input device 2 (step ST98).

The energy-saving measure effect history storage unit 17 extracts energy consumption-related information corresponding to the input energy-saving measure information from the basic unit characteristic database 9, and inputs the energy-saving measure information and the corresponding extraction. Step ST9 by associating with the set of consumed energy related information
As a case of the effect recognized in 4 to ST96, a process of registering in the energy saving measure case database 15 is performed (step ST99), and this process is finished.

For example, when it is recognized that there is an energy saving effect (in the case of step ST94), the input energy saving countermeasure information and the energy consumption related information extracted from the corresponding basic unit characteristic database 9 Is registered in the energy-saving countermeasure case database 15 as an example in which the energy-saving effect is obtained. When it is recognized that the energy saving effect does not change (step ST9
5) and the case where it is recognized that the energy saving effect has deteriorated (step ST96), similarly, it is registered in the energy saving measure case database 15 as a case where the energy saving effect does not change and a case where it deteriorates, respectively. It

FIG. 15 shows an example of a display screen for the user to input energy saving countermeasure information. As shown in the figure, on the display screen 1500, as the energy saving measure activity history data item, measure category 1501, activity history name 1502, activity content 1503, activity implementation date 150.
4, a capital investment amount 1505, an energy saving effect amount 1506, and a supplementary memo 1507 are provided. For these items, the user inputs the countermeasure activities performed for energy saving. The energy saving measure activity history data items shown above are examples, and the present invention is not limited to these.

Here, the target classification 1501 in the energy saving measure activity history data item is the energy saving target 6
Is what it is. For example, the above-mentioned manufacturing facilities such as factories, buildings, hotels, homes, etc. can be mentioned. Further, it is possible to classify them in detail. The activity history name 1502 is a title that briefly shows what kind of energy saving measures have been taken for the above target classification. For example, "heat insulation measures for electric furnaces" and the like. The activity content 1503 is an item for inputting activity data of the executed energy saving measures. The activity implementation date 1504 is the date when energy saving measures were taken, and the capital investment amount 1505 is
This is the cost spent for energy conservation measures. Energy saving effect amount 1
Reference numeral 506 is a calculation of the energy saving effect of the energy-saving target 6 by the energy saving measures, as compared with the case where no measures are taken. Further, the supplementary memo 1507 is an item for entering other special notes and the like.

In the above description, the energy saving effect is classified into three types of "effective", "no change" and "worse" as the classification method. As described above, it is possible to make a finer classification. For example, as illustrated in FIG. 3, it is possible to classify into eighteen levels.

According to the fifth embodiment, the user of the energy saving measure support system can easily and surely register the measure case data taken for the purpose of energy saving, and the energy saving measures can be taken. The management of the data of the support system can be facilitated.

Sixth Embodiment FIG. 16 is a block diagram showing the configuration of Embodiment 6 of the energy saving countermeasure support system according to the present invention. In FIG. 16, in this energy saving measure support system, the energy saving measure support processing device 101 described in the fifth embodiment includes an energy saving measure history reference mode setting unit 18, an energy saving measure history extracting unit 19, and an extracted energy saving measure history display unit. It further has 20. Other configurations are the same as those in the third to fifth embodiments, and the same components are designated by the same reference numerals as those in the third to fifth embodiments described above and the description thereof is omitted.

Here, the operation processing procedure of the energy-saving countermeasure support system shown in FIG. 16 will be described with reference to the flowchart shown in FIG. First, the user of the energy saving measure support system is requested to input what kind of case of the energy saving measures executed in the past is to be referred to. For example, the user inputs from the data input device 2 one of the reference modes selected from the three types of the energy-saving effect: “effective”, “no change”, or “deteriorated”. . The energy saving measure history reference mode setting unit 18 sets the input reference mode (step ST101).

Next, the energy saving measure history extraction unit 19 extracts energy saving measure information that matches the set reference mode from the energy saving measure case database 15 (step ST102). Then, the extracted energy saving measure history display unit 20
Performs a providing process for displaying and outputting the energy saving measure information group extracted corresponding to the set reference mode to the user of the energy saving measure support system (step ST103), and executes this process. finish.

In the above description, the reference mode represents the effect level in which the energy saving measure information stored in the energy saving measure case database is classified. Therefore, in the example described above, there are three types of reference modes, but as shown in the energy consumption characteristic classification table shown in FIG. 3, the reference modes may be set more finely. As a result, it is possible to provide the user with data closer to what the user wants to refer to, from the energy consumption characteristics classified in multiple stages.

According to the sixth embodiment, the user of the energy saving countermeasure support system can easily and surely browse the energy saving countermeasure information corresponding to the desired energy saving effect.

Seventh Embodiment FIG. 18 is a block diagram showing the configuration of Embodiment 7 of the energy saving countermeasure support system according to the present invention. 18, in this energy saving countermeasure support system, the energy saving countermeasure support processing device 101 described in the sixth embodiment further includes a characteristic energy saving effect history extraction unit 21 and a characteristic energy saving effect history display unit 22. . Other configurations are the same as those of the third to sixth embodiments, and the same components are designated by the same reference numerals as those of the above-described third to sixth embodiments, and description thereof is omitted.

Here, the operation processing procedure of the energy-saving countermeasure support system shown in FIG. 18 will be described with reference to the flowcharts shown in FIGS. First, steps ST31 to ST41 described in FIG. 7 of the third embodiment.
The same process is performed to determine whether or not there is an energy saving effect (steps ST111 to ST121). That is, for the set of the value of the basic unit calculation element and the value of the energy basic unit of the calculated consumed energy corresponding thereto, the horizontal axis shows the basic unit calculation element and the vertical axis shows the value of the energy basic unit. An energy intensity unit characteristic graph is taken before and after energy saving measures. Then, the slope of the linearly approximated straight line of the two energy intensity unit characteristic graphs before and after these energy saving measures, the size of the distribution of the plotted points, and the production amount neck are calculated, and the energy saving effect is calculated. Determine the presence or absence.

After that, when the energy-saving effect classification unit 12 determines that there is an energy-saving effect (Yes in step ST122), the characteristic-based energy-saving effect history extraction unit 21 uses the energy-saving measure case database 15 as a basis. Energy saving measure information that has an energy saving effect is extracted (step ST124).

When the energy-saving effect classification unit 12 determines that the energy-saving effect is not found in step ST122 (No in step ST122), it is further determined whether the energy-saving effect has changed. It is determined (step ST123). Here, when the energy-saving effect classification unit 12 determines that there is no change in the energy-saving effect (Yes in step ST123), the characteristic-based energy-saving effect history extraction unit 21 determines from the energy-saving measure case database 15 that The energy saving measure information whose energy saving effect has not changed is extracted (step ST12).
5). On the other hand, when the energy-saving effect classification unit 12 determines in step ST123 that the energy-saving effect does not change (No in step ST123)
In addition, the characteristic-based energy-saving effect history extraction unit 21 extracts energy-saving measure information in which the energy-saving effect has deteriorated from the energy-saving measure case database 15 (step ST1).
26).

Then, the energy-saving effect history display section 22 for each characteristic
Performs a providing process for displaying and outputting the extracted energy saving measure information group to the user of the energy saving measure support system (step ST127), and ends this process.

FIG. 21 shows an example of a display screen for providing energy saving measure history data. As shown in the figure, on the display screen 2100, as the items of the energy saving measure activity history data, the measure classification 2101 and the activity history name 21 are displayed.
02, activity content 2103, activity implementation date 2104, capital investment amount 2105, energy saving effect amount 2106, supplementary memo 210
7 is provided. From these displayed items, the user can browse the energy saving measures information when there is an energy saving effect. Here, the items of the energy saving measure history data shown above are examples, and the items are not limited to these.

In the above description, the energy saving effect is classified into three types of "effective", "no change" and "deteriorated" as the classification method, but it is described in the first embodiment. As described above, it is also possible to classify it in more detail. For example, as illustrated in FIG. 3, it is possible to classify into eighteen levels.

According to the seventh embodiment, the user of the energy-saving countermeasure support system receives the energy-saving target 6
It is possible to automatically retrieve and provide energy saving countermeasure information having an energy saving effect corresponding to the energy consumption characteristic of.

Eighth Embodiment FIG. 22 is a block diagram showing the configuration of the eighth embodiment of the energy saving countermeasure support system according to the present invention. 22, in this energy saving countermeasure support system, the energy saving countermeasure support processing device 101 described in the seventh embodiment has the energy intensity unit characteristic graph creating unit 3, the intensity unit characteristic storage unit 7, and the energy consumption characteristic reference unit 8. Further, it further includes a carbon amount conversion unit 23 and a carbon intensity unit characteristic graph creation unit 24. Other configurations are the same as those in the third to seventh embodiments, and the same components are designated by the same reference numerals as those in the first to seventh embodiments described above, and the description thereof is omitted.

Now, an operation processing procedure of the energy saving countermeasure support system shown in FIG. 22 will be described with reference to the flowchart shown in FIG. First, the energy intensity unit characteristic graph creating unit 3 or the energy consumption intensity unit characteristic graph creating unit 10 before and after the countermeasure measures the energy consumption amount of the energy-saving target 6 collected by the energy consumption amount measuring device 5 of the energy saving countermeasure support system, An input process of reading a data group consisting of a set of values of the basic unit calculation element at the time of measuring the consumed energy input by the user of the system from the data input device 2 is performed (step ST131).

Next, the carbon amount conversion unit 23 grasps the read unit of the consumed energy amount (step ST132),
The energy consumption amount is converted into the carbon amount using the formula for converting the carbon amount corresponding to the unit (step ST13).
3). Here, the unit of energy consumption means electric energy, gas consumption, oil consumption, etc., and these power consumption, gas consumption, oil consumption, etc. Is the formula to be converted experimentally obtained?
Alternatively, it is given from the outside such as a conversion table in the operation of the environmental management system of ISO14001.

Then, the carbon intensity characteristic graph creating unit 24
Calculates a carbon basic unit which is a value obtained by dividing the carbon amount converted by the carbon amount conversion unit 23 and the corresponding basic unit calculation element (step ST134). Carbon intensity characteristics where the abscissa represents the value of the element calculation element and the ordinate represents the value of the carbon intensity for the set of the calculated carbon intensity value and the corresponding value of the intensity calculation element. A graph is created (step ST135). The carbon intensity characteristic graph is a scatter graph that explicitly expresses the scatter tendency of the value of the carbon intensity as the element for calculating the intensity of carbon increases.

According to the eighth embodiment, the user of the energy-saving countermeasure support system can easily grasp the energy consumption characteristic by the unified index, that is, the carbon amount, with respect to the energy consumption other than the electric energy. There is an effect that can be done.

In the fifth to eighth embodiments described above, the unit characteristic database 9 and the energy saving measure case database 15 are separately installed, but these two databases are relational databases and the data structure thereof is maintained. If so, these contents may be combined into one database.

The methods shown in the above-described first to eighth embodiments are configured as programs storing the processing procedures of these methods, and these programs are executed by a computer such as a personal computer or a workstation. Can be realized by

[0118]

As described above, according to the present invention, the energy consumption characteristic for diagnosing the energy consumption characteristic from the linear approximation formula obtained by linearly approximating the plot points on the generated energy intensity unit characteristic graph. Since it is configured to have a diagnostic means, the target factory, production line,
It is possible to calculate the energy consumption characteristics for each manufacturing facility, building, hotel, general household, etc., and provide the user with an objective determination result of the energy saving effect.

According to the next invention, the value of the slope obtained by linearly approximating the plotted points on the generated energy intensity unit characteristic graph, the size of the distribution of the plotted points,
Since the energy consumption characteristic diagnosing means for diagnosing the energy consumption characteristic from these three kinds of data is extracted by extracting the portion where the value of the energy intensity is near a certain amount of production, It is possible to calculate the energy consumption characteristic and provide the user with the objective judgment result of the energy saving effect.

According to the next invention, the energy consumption characteristic is stored in the energy intensity characteristic database, and the energy consumption characteristic data registered in the energy intensity characteristic database corresponds to each energy consumption characteristic. Since the energy consumption characteristic reference means for referencing the data is provided, the energy consumption characteristic can be used as a data reference material. In addition, the user can easily compare the energy consumption characteristics made in the past with the current energy consumption characteristics, and can also easily confirm the presence or absence of the energy saving effect.

According to the next invention, a unit energy consumption characteristic graph before and after the energy conservation unit characteristic graph before energy saving measures and an energy intensity unit characteristic graph after energy saving measures are implemented, Since the energy consumption characteristics of the two generated energy consumption rate characteristic graphs are compared with each other, and energy saving effect determination means for determining whether or not there is an energy saving effect before and after the energy saving measures are provided, the energy saving effect is provided. It is possible to easily diagnose whether or not the effect of energy saving was obtained before and after the countermeasure.

According to the next invention, the value of the slope obtained by linearly approximating the plot points on the energy intensity graph created before and after the energy saving measure is taken, and the size of the distribution of the plotted points , And an energy consumption characteristic diagnosing means for diagnosing the energy consumption characteristic from these three types of data by extracting a portion in which the value of the energy intensity varies near a certain production amount. It is possible to calculate the energy consumption characteristics for the, and provide the user with a more detailed objective judgment result of the energy saving effect.

According to the next invention, regarding the energy saving effect, the energy saving effect classification means for classifying the energy saving effect according to the classification method showing the presence or absence of the energy saving effect stepwise, and the classified judgment result are used as the basis. Since the energy saving effect storage means registered in the unit characteristic database and the registered judgment result data are provided with the judgment result target reference means for referring to the data of the data collection target corresponding to each judgment result, The energy-saving data is stored in the database for each energy-saving effect classification result, facilitating data management of energy consumption characteristics. Also, the past data that the user of the system wants to refer to can be compared with the current data.

According to the next invention, the energy saving measure effect history data inputting means for prompting the input of the energy saving measure information carried out for the energy saving target, the inputted energy saving measure information and the corresponding basic unit. Since the energy saving measure effect history storage means for associating with the energy consumption related information in the characteristic database and registering it in the energy saving measure case database is provided, a collection of examples of what kind of energy saving measures are effective is provided. Can be created.

According to the next invention, the energy saving measure history reference mode setting means for setting the reference mode of the energy saving effect and the energy saving measure information corresponding to the set reference mode are extracted from the energy saving measure information. Since the energy saving measure history extraction means and the extracted energy saving measure history display means for displaying the extracted energy saving measure information are provided, the user can easily browse desired data in the past.

According to the next invention, there is an energy saving effect attribute classified by the energy saving effect classifying means,
Energy saving effect history extraction means for extracting energy saving measure information having energy consumption characteristics diagnosed by the energy consumption characteristic diagnosing means from the energy saving measure history database, and energy saving effect for each characteristic displaying the extracted energy saving measure information Since the history display means is provided, it is possible to automatically provide the user with past data corresponding to the energy consumption characteristics obtained as a result of energy saving measures.

According to the next invention, a carbon amount conversion means for converting the given energy consumption amount data into a carbon amount, and a value of the carbon basic unit which is a value divided by the basic unit calculation element at that time are used. Since it is configured to include a carbon intensity unit characteristic graph creating means for creating a carbon intensity unit characteristic graph expressing the change in the value of the carbon intensity unit with the increase of the unit consumption factor, the electric energy and gas, It is possible to easily understand the energy consumption characteristics by converting the energy consumption of oil or the like into the carbon amount which is a unified index.

According to the next invention, the energy consumption characteristic diagnosing step for diagnosing the energy consumption characteristic from the linear approximation formula obtained by linearly approximating the plotted points on the generated energy intensity unit characteristic graph is provided. Because I did
It is possible to calculate the energy consumption characteristics of a target factory, manufacturing line, each manufacturing facility, building, hotel, general household, etc., and provide the user with an objective judgment result of the energy saving effect.

According to the present invention, the energy consumption characteristic is stored in the energy intensity characteristic database, and the energy consumption characteristic data registered in the energy intensity characteristic database is associated with each energy consumption characteristic. Since the energy consumption characteristic reference step of referring to the data is provided, the energy consumption characteristic can be used as a data reference material. In addition, the user can easily compare the energy consumption characteristics made in the past with the current energy consumption characteristics, and can also easily confirm the presence or absence of the energy saving effect.

According to the next invention, an energy intensity unit characteristic graph before the energy saving measure and an energy intensity unit characteristic graph after the energy saving measure are created, before and after the measures intensity creating graph, Since the energy consumption characteristics of the two generated energy consumption rate characteristic graphs are compared with each other, and an energy saving effect determination step of determining whether or not there is an energy saving effect before and after the energy saving measure is configured, It is possible to easily diagnose whether or not the effect of energy saving was obtained before and after the countermeasure.

According to the next invention, regarding the energy saving effect, the energy saving effect classification step of classifying the energy saving effect according to the classification method showing the presence or absence of the energy saving effect stepwise, and the classified judgment result are used as the basis. Since it is configured to include an energy-saving effect storage step of registering in the unit characteristic database and a judgment result target reference step of referring to the data of the data collection target corresponding to each judgment result for the registered judgment result data, The energy-saving data is stored in the database for each energy-saving effect classification result, facilitating data management of energy consumption characteristics. Also, the past data that the user of the system wants to refer to can be compared with the current data.

According to the next invention, the energy-saving measure effect history data input step for prompting the input of the energy-saving measure information carried out for the energy-saving target, the inputted energy-saving measure information and the corresponding basic unit Since it is configured to have an energy saving measure effect history storage step of registering in the energy saving measure case database by associating it with the energy consumption related information in the characteristic database, a collection of examples of what kind of energy saving measures are effective Can be created.

According to the next invention, the energy saving measure history reference mode setting step for setting the reference mode of the energy saving effect for the energy saving measure information and the energy saving measure information corresponding to the set reference mode are extracted. Since the energy saving measure history extraction process and the extracted energy saving measure history display process for displaying the extracted energy saving measure information are provided, the user can easily browse desired data in the past.

According to the next invention, the energy saving measure information having the energy saving effect attribute classified in the energy saving effect classifying step and having the energy consumption characteristic diagnosed in the energy consumption characteristic diagnosing step is stored as energy saving measures. The energy consumption characteristics obtained as a result of the energy saving measures are configured because the energy saving effect history extraction step by characteristic extracted from the history database and the energy saving effect history display step by characteristic for displaying the extracted energy saving measure information are configured. The past data corresponding to can be automatically provided to the user.

According to the next invention, a carbon amount conversion step of converting given energy consumption amount data into a carbon amount, and a value of the carbon intensity unit which is a value divided by the intensity calculation element at that time are used. And a carbon intensity characteristic graph creating step of creating a carbon intensity characteristic graph expressing a change in the value of the carbon intensity associated with the increase of the intensity calculation element, so that the electric energy and gas, It is possible to easily understand the energy consumption characteristics by converting the amount of energy consumption of oil or the like into a carbon amount which is a unified index.

According to the next invention, since the method described in any one of the above-mentioned inventions is made into a program, the operation of any one of the above-mentioned methods is executed by a computer using the program. It has the effect that

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of an energy saving countermeasure support system according to a first embodiment of the present invention.

FIG. 2 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG.

FIG. 3 is a diagram showing an example of classification of energy consumption characteristics.

FIG. 4 is a block diagram showing a configuration of an energy saving countermeasure support system according to a second embodiment of the present invention.

5 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG.

FIG. 6 is a block diagram showing a configuration of an energy saving countermeasure support system according to a third embodiment of the present invention.

7 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG.

FIG. 8 is a diagram showing an example of a display screen displaying a result of determination of an energy saving effect.

FIG. 9 is a block diagram showing a configuration of an energy saving countermeasure support system according to a fourth embodiment of the present invention.

FIG. 10 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG. 9 (No. 1).

FIG. 11 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG. 9 (No. 2).

FIG. 12 is a block diagram showing a configuration of an energy saving countermeasure support system according to a fifth embodiment of the present invention.

13 is a flowchart showing an operation processing procedure by the energy-saving countermeasure support system shown in FIG. 12 (No. 1).

FIG. 14 is a flowchart showing an operation processing procedure by the energy-saving countermeasure support system shown in FIG. 12 (No. 2).

FIG. 15 is a diagram showing an example of a display screen for inputting energy saving countermeasure information.

FIG. 16 is a block diagram showing a configuration of an energy saving countermeasure support system according to a sixth embodiment of the present invention.

FIG. 17 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG. 16.

FIG. 18 is a block diagram showing the configuration of an energy saving countermeasure support system according to a seventh embodiment of the present invention.

FIG. 19 is a flowchart showing an operation processing procedure by the energy-saving countermeasure support system shown in FIG. 18 (No. 1).

20 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG. 18 (No. 2).

FIG. 21 is a diagram showing an example of a display screen for providing energy saving measure history data.

FIG. 22 is a block diagram showing a configuration of an energy saving countermeasure support system according to an eighth embodiment of the present invention.

23 is a flowchart showing an operation processing procedure by the energy saving countermeasure support system shown in FIG.

FIG. 24 is a block diagram showing a configuration of a conventional energy / resource consumption management system for measuring energy consumption and resource consumption.

FIG. 25 is a block diagram showing a configuration of a conventional energy-saving support system for manufacturing equipment.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 display device, 2 data input device, 3 energy basic unit characteristic graph creation unit, 4 energy consumption characteristic diagnosis unit, 5
Energy consumption measurement unit, 6 Energy saving target, 7
Basic unit characteristic storage section, 8 Energy consumption characteristic reference section, 9
Basic unit characteristic database, 10 Measured unit characteristic graph before and after measures, 11 Energy saving effect judgment section, 12 Energy saving effect classification section, 13 Energy saving effect storage section, 14
Judgment result target reference section, 15 Energy saving measure example database, 16 Energy saving measure effect history data input section, 17
Energy saving measure effect history storage unit, 18 Energy saving measure history reference mode setting unit, 19 Energy saving measure history extraction unit, 20 Extracted energy saving measure history display unit, 21 Characteristic energy saving effect history extraction unit, 22 Characteristic energy saving effect history display unit, 23 Carbon conversion unit, 24 Carbon intensity graph creation unit, 100
Input / output device, 101 Energy-saving measure support processing device.

Claims (19)

[Claims] 1. An energy consumption amount measuring device for measuring an energy consumption amount of an energy-saving target, and an energy consumption amount of the energy-saving target measured by the energy consumption amount measuring device at the time of measuring the energy consumption amount. An energy intensity unit that is a value divided by the energy consumption target intensity unit calculation element is calculated, and the calculated energy intensity unit and the value of the energy intensity calculation element at the time of measuring the energy consumption are combined. An energy-saving measure support processing device that creates an energy-intensity unit characteristic graph showing changes in energy intensity unit with respect to the energy intensity calculation element based on a plurality of sets of data, and these energy consumption amount measuring device and energy-saving factor support A processing unit is connected via a network, and based on the energy intensity unit characteristic graph, energy-saving measures for the energy-saving target are supported. In the energy countermeasure support system, the energy-saving countermeasure support processing device is configured to perform the above-mentioned operation based on a relationship between a straight line obtained by linearly approximating each point plotted on the energy intensity graph and the plotted points. An energy-saving countermeasure support system comprising an energy-consumption characteristic diagnosing means for diagnosing an energy-consumption characteristic of an energy-saving target. 2. The energy consumption characteristic diagnosing means represents a value of a slope of the straight line, a size of distribution of the plotted points with respect to the straight line, and a basic unit calculation element of a portion in which variation in energy basic unit is large. The energy saving countermeasure support system according to claim 1, wherein the energy consumption characteristic is diagnosed by using any one or a combination of two or more of the production volume necks. 3. The energy saving measure support processing device further comprises a basic unit characteristic database storing energy consumption related information including the energy consumption characteristic of the energy saving target, and the energy saving measure support processing device, energy consumption related information of the energy saving target. Unit characteristic storing means for storing the energy consumption characteristic information in the unit characteristic database, and the energy consumption related information having the energy consumption characteristic required by the user of the system is extracted from the unit characteristic database and provided to the user. The energy-saving measure support system according to claim 1 or 2, further comprising: 4. An energy consumption amount measuring device for measuring an energy consumption amount of an energy saving target, and an energy consumption amount of the energy saving target measured by the energy consumption amount measuring device at the time of measuring the energy consumption amount. An energy intensity unit that is a value divided by the energy consumption target intensity unit calculation element is calculated, and the calculated energy intensity unit value and the value of the energy intensity calculation element at the time of measuring the consumed energy amount are combined as a set. An energy intensity unit characteristic graph showing a change in energy intensity unit with respect to the intensity unit calculation element based on a plurality of sets of data before and after the energy conservation measures are formed, and , Based on the relationship between a straight line obtained by linearly approximating each point plotted on the energy intensity graph and each of the plotted points Energy saving characteristic diagnosis means for diagnosing the energy consumption characteristics of the energy-saving target, and energy saving effect determination means for comparing the energy consumption characteristics before and after implementing the energy saving measures to determine whether there is an energy saving effect, An energy-saving measure support processing device comprising: an energy-saving measure support processing device; and connecting the energy consumption measuring device and the energy-saving measure support processing device via a network. 5. The energy consumption characteristic diagnosing means represents the value of the slope of the straight line, the size of the distribution of the plotted points with respect to the straight line, and the basic unit calculation element of the portion where the variation in energy basic unit is large. The energy-saving countermeasure support system according to claim 4, wherein the energy consumption characteristic is diagnosed by using any one or a combination of two or more of the production amount necks. 6. The energy-saving measure support processing device further comprises a basic unit characteristic database storing energy-consumption related information including the energy consumption characteristic of the energy-saving target, and the energy-saving measure support processing device is judged by the energy-saving effect judging means. An energy-saving effect classification means for classifying energy-saving effects into a plurality of different effect levels in a stepwise manner; and a classification result of the energy-saving effect, together with energy consumption-related information of an energy-saving target corresponding to the energy-saving effect, Energy-saving effect storage means for storing in the basic unit characteristic database, and energy consumption related information of the energy-saving target corresponding to the effect level of the energy-saving effect required by the user of the system is extracted from the basic unit characteristic database, It further includes a judgment result target reference means provided to the user. Energy saving measure support system according to claim 4 or 5,. 7. An energy-saving measure case database that stores energy-saving measure information implemented for the energy-saving target, wherein the energy-saving measure support processing device stores the energy-saving measure information for the energy-saving target. Energy saving measure history data input means for urging the user to input, and energy saving measures for storing the input energy saving measures information in the energy saving measures case database in association with the energy consumption related information of the energy saving target. 5. A history storage unit is further included.
~ The energy-saving countermeasure support system described in any one of. 8. The energy saving measure support processing device sets a plurality of reference modes corresponding to the plurality of effect levels and sets an energy saving measure history reference mode setting means for setting a reference mode required by a system user. Energy saving measure history extracting means for extracting energy saving measure information corresponding to the reference mode set in the energy saving measure history reference mode setting means from the energy saving measure case database; and the extracted energy saving measure information for the user. 8. The energy-saving measure support system according to claim 7, further comprising: an extraction energy-saving measure history display means provided to the. 9. The energy-saving countermeasure support processing device has the same effect level as the effect level classified by the energy-saving effect classification means, and matches the energy consumption characteristic obtained by the energy consumption characteristic diagnosis means. Energy saving effect history extraction means for extracting energy saving measures information having energy consumption characteristics from the energy saving measures history database, and energy saving effect history for each characteristic for providing the extracted energy saving measures information to the user of the system The energy-saving countermeasure support system according to claim 7, further comprising a display unit. 10. The energy saving measure support processing device, a carbon amount conversion means for converting the energy consumption amount measured by the energy consumption amount measuring device into a carbon amount, and the converted carbon amount is measured as the energy consumption amount. A plurality of set data in which a carbon intensity unit that is a value divided by the intensity unit calculation element at time is calculated, and a value of the calculated carbon intensity unit and a value of the intensity unit calculation element at the time of measuring the energy consumption are set as a set. 10. A carbon intensity characteristic graph creating means for creating a carbon intensity characteristic graph showing a change in carbon intensity with respect to the intensity calculation element based on the above, and further comprising: The energy-saving measure support system described in one. 11. An energy-saving measure support method for measuring the amount of energy consumed by an energy-saving target by an energy-consumption measuring device and supporting the energy-saving measure for the energy-saving target based on the measurement result. Calculating an energy intensity unit that is a value obtained by dividing the energy consumption amount of the energy saving target measured by the energy consumption amount measuring device by the energy consumption target energy consumption unit calculation element at the time of measuring the energy consumption amount. , Showing the change of the energy intensity with respect to the energy intensity calculation element, based on a plurality of sets of data having a combination of the calculated energy intensity unit value and the value of the energy intensity calculation element at the time of measuring the energy consumption An energy intensity unit characteristic graph creating step of producing an energy intensity unit characteristic graph, and linearly connecting each point plotted on the energy intensity unit characteristic graph. Any one of the value of the slope of a straight line obtained similarly, the size of the distribution of the plotted points with respect to the straight line, and the production neck representing the basic unit calculation element of the portion where the variation in the energy basic unit is large, or An energy consumption characteristic diagnosis step of diagnosing the energy consumption characteristic of the energy-saving target using a combination of two or more. 12. An energy consumption characteristic storage step of storing energy consumption related information including the energy consumption characteristic of the energy-saving target in an energy consumption characteristic database, and an energy consumption characteristic required by a system user. The energy saving measure support method according to claim 11, further comprising: an energy consumption characteristic reference step of extracting the energy consumption related information from the basic unit characteristic database and providing it to the user. 13. An energy-saving measure support method for measuring an energy-consumption amount of an energy-saving target by an energy-consumption amount measuring device and supporting the energy-saving measure of the energy-saving target based on the measurement result. Calculating an energy intensity unit that is a value obtained by dividing the energy consumption amount of the energy saving target measured by the energy consumption amount measuring device by the energy consumption target energy consumption unit calculation element at the time of measuring the energy consumption amount. , Showing the change of the energy intensity with respect to the energy intensity calculation element, based on a plurality of sets of data having a combination of the calculated energy intensity unit value and the value of the energy intensity calculation element at the time of measuring the energy consumption An energy intensity unit characteristic graph is created before and after implementing energy saving measures, respectively Unit value of the slope of a straight line obtained by linearly approximating each point plotted on the characteristic graph, the size of the distribution of the plotted points with respect to the straight line, and the unit of energy consumption of the unit with large variation An energy consumption characteristic diagnosing step of diagnosing the energy consumption characteristic of the energy-saving target by using any one or a combination of two or more of production necks representing calculation elements, and energy consumption before and after implementing energy saving measures. An energy-saving effect determination step of comparing the characteristics and determining whether or not there is an energy-saving effect. 14. An energy-saving effect classification step of classifying the energy-saving effect judged in the energy-saving effect judgment step into a plurality of different effect levels, and a basic unit characteristic database, wherein Energy saving effect storing step of storing the classification result together with energy consumption related information including the energy consumption characteristics of the energy-saving target corresponding to the energy saving effect, and the effect level of the energy saving effect required by the system user. 14. The determination result target reference step of extracting from the basic unit characteristic database the energy consumption related information of the energy-saving target corresponding to, and providing the result to the user. Energy conservation measures support method. 15. A step of inputting energy saving measure history data for prompting the user to input energy saving measure information carried out for the energy saving target, and storing energy saving measure information carried out for the energy saving target in the past. The energy saving measure example database further includes an energy saving measure history storing step of storing the input energy saving measure information in association with the energy consumption related information of the energy saving target. The method for supporting energy conservation measures according to claim 13 or 14. 16. An energy saving measure history reference mode setting step of setting a plurality of reference modes corresponding to the plurality of effect levels and setting a reference mode requested by a system user, and the energy saving measure history reference mode setting. Energy saving measure history extraction step of extracting energy saving measure information corresponding to the reference mode set in the process from the energy saving measure case database, and extracted energy saving measure providing the extracted energy saving measure information to the user The energy saving countermeasure support method according to claim 15, further comprising a history display step. 17. An energy-saving measure having the same effect level as the effect level classified in the energy-saving effect classification step and having an energy consumption characteristic that matches the energy consumption characteristic obtained in the energy-consumption characteristic diagnosing step. It further includes a characteristic-based energy saving effect history extraction step of extracting information from the energy saving countermeasure history database, and a characteristic energy saving effect history display step of providing the extracted energy saving countermeasure information to a system user. 16. The energy saving measure support method according to claim 15. 18. A carbon amount conversion step of converting the consumed energy amount measured by the consumed energy amount measuring device into a carbon amount, and the converted carbon amount in the basic unit calculation element at the time of measuring the consumed energy amount. A carbon intensity unit that is a divided value is calculated, and the value of the calculated carbon intensity unit and the value of the intensity unit calculation element at the time of measuring the energy consumption are set as a plurality of sets based on a plurality of set data. 18. A carbon intensity characteristic graph creating step of creating a carbon intensity characteristic graph showing a change in carbon intensity with respect to an intensity calculation element, further comprising: Energy conservation measures support method. 19. A program that causes a computer to execute the energy-saving countermeasure support method according to claim 11. Description: