JP2012108588A - Environmental considering action proposal system, environmental load reduction support system and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a user with information regarding appropriate environmental considering actions useful for personal practice in consideration of user's consciousness or knowledge of environmental loads.SOLUTION: An environmental considering action proposal system comprises: storage means 15 for storing personal attribute information of a user; index value calculation means 16 for calculating an index value concerning user's consciousness or knowledge of environmental loads by assigning a numerical value corresponding the attribute information to a mathematical expression stored in advance; an action database 18 for storing various action contents of environmental considering actions; and action content extraction means 20 for extracting action contents suitable for the user from respective action contents stored in the action database 18 based on the index value calculated by the index value calculation means 16.

Description

  The present invention relates to an environment-considering action suggestion system, an environmental load reduction support system, and a program, and more specifically, an environment that is useful for self-practice in consideration of differences in consciousness and knowledge about environmental loads among users. The present invention relates to an environment-conscious action proposal system for proposing consideration actions, an environmental load reduction support system, and a program.

  Each individual's lifestyle needs to be reviewed for the advancement of a low-carbon society and a recycling-oriented society. To that end, effective information is provided so that each individual can easily practice environmentally conscious behavior. The way of provision is demanded.

  By the way, the following patent document 1 discloses a life improvement support system that performs support for reducing living energy in a house. This life improvement support system can evaluate the energy consumption of one's own life by comparing with others connected on the system, and can also evaluate the amount of energy produced by the presence or absence of solar panels. Furthermore, it is also possible to evaluate the environmental behavior performed by the user. Moreover, in the life improvement support system, it is possible to estimate the energy saving effect when the user changes the living behavior.

JP 2009-301569 A

  However, in the life improvement support system of Patent Document 1, it is not possible to propose an appropriate environmentally conscious action in consideration of the environmental load and the environment of each individual user, and the user is not necessarily useful for himself / herself. Information on environmentally friendly behaviors cannot be obtained. That is, users have different consciousnesses about environmental considerations, and there are individual differences in the degree of recognition of environmental consideration behaviors that lead to environmental load reduction. Thus, for example, for users with low awareness of environmental considerations and low awareness of environmental considerations, the proposed environment The feasibility of consideration actions is reduced. Conversely, for users with a high level of awareness of environmental considerations and a high level of awareness of environmental considerations, even if they propose environmental considerations that everyone knows, they should already recognize and practice them. This information is not necessarily useful for the user. In this respect, the life improvement support system only provides general information for energy saving uniformly, and the user is appropriate for himself / herself after considering the individuality of each user with respect to the environmental load. Information on environmentally friendly behavior cannot be provided. Furthermore, the types of information provision related to environmentally conscious behavior vary depending on the user's possession status in various products such as home appliances. For example, it does not make sense to provide information on environmentally friendly behavior that leads to energy saving of gas appliances to users who live in all-electric houses. This point is not taken into consideration in the life improvement support system.

  The present invention has been devised in order to solve such problems, and its purpose is to consider appropriate considerations and knowledge of users regarding environmental burdens and to be useful for their own practice. The object is to provide an environment-conscious action suggestion system, an environmental load reduction support system, and a program that can provide information on environment-friendly actions to users.

  In order to achieve the above object, the present invention obtains a numerical value that serves as an index related to awareness and knowledge of the environmental load of the user by substituting a numerical value representing the attribute information of the user into a mathematical formula stored in advance. Based on the numerical value, the system mainly performs processing for extracting the action content suitable for the user from the action contents stored in the action database in which various action contents of the environmentally conscious action are stored. It is a special feature.

  According to the present invention, the user registers his / her own attribute information such as gender, date of birth, household composition, occupation, annual income, etc. Automatically recognizes the degree of environmental impact and provides information on environmentally friendly behavior according to the results. Users can propose appropriate environmentally friendly behavior that is useful for their own practice. become.

  In addition, by visualizing the environmental load of the product owned by the user and adding an environmental load visualization diagnostic system that diagnoses the usage state of the product from the viewpoint of reducing the environmental load, the environmental load caused by the use of the user The user can grasp the actual situation of the environment, so it is possible to propose appropriate environmentally conscious action in consideration of the actual situation of the environmental load in addition to the individuality of the user with respect to the environmental load. Can be provided to users.

The schematic block diagram of the environmental consideration action proposal system which concerns on 1st Embodiment. A table for explaining information stored in the behavior database. The schematic block diagram of the environmental impact visualization diagnostic system which concerns on 2nd Embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
(First embodiment)

  FIG. 1 shows a schematic configuration diagram of an environment-conscious action proposal system according to the present embodiment. In this figure, the environment-friendly behavior suggestion system 10 automatically registers the user's own attribute information and other information, and automatically increases the user's awareness of environmental load and the degree of knowledge based on the information. It is a system that proposes environmentally conscious actions that match the user's personality and situation based on the level of awareness and knowledge.

  Specifically, this environmentally conscious action suggestion system 10 is suitable for the user from among various environmentally conscious actions based on the input device 11 for inputting various information by the user and the information input by the input device 11. The information provision apparatus 12 which provides the information regarding the environmental consideration action which becomes, and the display apparatus 13 which displays the information provided with the information provision apparatus 12, and displays the information relevant to the said information are provided.

  The input device 11 employs known input devices such as a keyboard, a touch panel, and a mouse, and uses various input devices as long as the user can input the following input information and transmit it to the information providing device 12. be able to. Here, as the input information, there are user attribute information, possessed product information regarding products such as home appliances possessed by the user, and questionnaire information regarding environmental consideration behavior, and these information are information before using the system. Further, it is input in advance by the user.

  The attribute information includes various personal information such as gender, date of birth, household composition, occupation and occupation, annual income, residence form (detached house, apartment house, etc.), residential area, etc., as well as hobbies, commuting means, etc. Information on styles can be exemplified. The attribute information is input as any numerical value corresponding to the information content. For example, for gender, males enter “1”, females enter “2”, etc., each attribute information is assigned a different value for each range or type, and the user selects the appropriate range or type. To enter. Also, items that can be directly entered such as date of birth and annual income are entered as they are. Note that the date of birth may be automatically converted into age or age when the information providing apparatus 12 performs processing to be described later.

  Examples of the possessed product information include information such as various product types (TV, air conditioner, refrigerator, etc.), type (product name, serial number, etc.), date of manufacture, date of purchase, etc. possessed by the user. The input form of the owned product information is not particularly limited, but the user directly inputs from the input device 11 or accesses the owned product information database (not shown) through the Internet line and stores the manufacturer name stored in the database. By selecting the product name, model year, model number, etc., the information may be transmitted to the information providing apparatus 12.

  The questionnaire information is user's response information to a preset questionnaire. The contents of the questionnaire include various environmentally conscious actions such as “Reduce TV usage time per day”, “Clean the air conditioner filter once a month”, and “Close the lid when not using the warm water toilet seat”. This is a question to the user. For each action content, the user answers his / her ease of execution, which is evaluated for ease of execution, in a questionnaire format, and inputs it to the input device 11. Here, the degree of ease of execution input by the user is not particularly limited, but a free input format that directly represents the degree of ease of execution by “%” or a score, or a numerical value determined in stages. There is a numerical selection format to select. As the numerical selection format, for each environmentally conscious action presented to the user, if it is “currently performed”, it is set to 3 points. In this case, it is possible to exemplify a format in which 2 points are given, 1 point is given if “I don't go now, but I think it can be executed occasionally,” and 0 point if it is difficult to execute.

  The information providing device 12 is configured by a computer including an arithmetic processing device such as a CPU and a storage device such as a memory and a hard disk, and a program for causing the computer to function as the following units and the like is installed.

  That is, the information providing device 12 stores the input information input by the user using the input device 11, and the attribute information of the user stored in the storage device 15, and the environmental load on the user. Based on the index value calculation means 16 for obtaining a numerical value as an index relating to consciousness and knowledge, the behavior database 18 in which the action contents of various environmentally conscious actions are stored, and the behavior database 18 based on the numerical values obtained by the index value calculation means 16 The behavior content extracting means 20 for extracting the behavior content of the environmentally conscious behavior suitable for the user from each of the behavior content of FIG.

  In the index value calculation means 16, the environmental consciousness obtained by quantifying the degree of consciousness of the user with respect to environmental considerations, and the environmental behavior recognition obtained by quantifying the user's consciousness about all actions that contribute to reducing the environmental load, Is required.

The environmental awareness P1 is obtained by the following formula (1) stored in advance.

_{P1 = A 1 x 1 + A} 2 x 2 + A 3 x 3 + ··· + A n-1 x n-1 + A n x n (1)

Here, “x ₁ ”, “x ₂ ”, “x ₃ ”..., “X _n−1 ”, “x _n ” are the respective attribute information (n types) of the user input by the user. It is a numerical value.
“A ₁ ”, “A ₂ ”, “A ₃ ”..., “A _n−1 ”, “A _n ” are constants specified in advance corresponding to each attribute information. The constant is obtained in advance by performing statistical processing by principal component analysis on the results obtained by conducting a questionnaire survey on a large number of subjects.

  Here, the degree of environmental awareness P1 in the present embodiment is “0” in the case of the average level of ordinary people with respect to environmental considerations due to the setting of the above formula (1), and the level of awareness is higher than the average of ordinary people. The value increases on the positive side, while the value decreases on the negative side as the consciousness level becomes lower than the average of ordinary people. Note that the environmental awareness P1 is not limited to the above-described mode. For example, the environmental awareness P1 can be increased or decreased according to the level of awareness based on the minimum level. As long as it can be quantified, various aspects can be adopted.

The environmental behavior recognition degree P2 is obtained by the following equation (2) stored in advance.

_{P2 = B 1 x 1 + B} 2 x 2 + B 3 x 3 + ··· + B n-1 x n-1 + B n x n (2)

Here, “x ₁ ”, “x ₂ ”, “x ₃ ”..., “X _n−1 ”, “x _n ” are the attributes inputted by the user as in the above formula (1). Information.
“B ₁ ”, “B ₂ ”, “B ₃ ”..., “B _n−1 ”, “B _n ” are constants specified in advance corresponding to each attribute information. The constant is specified based on the result of a questionnaire survey in advance, like “A ₁ ”..., “A _n ” in the above formula (1).

  Here, the environmental behavior recognition degree P2 in the present embodiment is “0” in the case of the average recognition degree of the general public with respect to the overall environmentally conscious behavior by the setting of the above formula (2), and the perception level is the average of the general public. The higher the value, the higher the value on the positive side, while the lower the recognition level, the lower the value on the negative side. Note that the environmental behavior recognition level P2 is not limited to the above-described mode. For example, it is possible to set the mode to increase or decrease in accordance with the level of recognition based on the lowest level. As long as the user's recognition degree can be quantified, various modes can be adopted.

  As illustrated in FIG. 2, the behavior database 18 stores a variety of contents of environmentally-friendly behavior corresponding to products related to the behavior, and also corresponds to each environmentally-friendly behavior. In addition, the degree of ease of execution, which is expressed by the ordinary person, the degree of ease of execution, the degree of recognition of the general person, the degree of recognition of the environment, and the degree of environmental impact reduction effect, which is a numerical value of the environmental load reduction effect, are stored. Yes.

  The numerical value of the ease of execution and the degree of general recognition are determined for one environmentally conscious action based on the results of questionnaire surveys on a large number of subjects in advance.

  Here, the ease of execution represents what percentage of ordinary people can execute the corresponding environment-friendly behavior, but when the user inputs the questionnaire information described above, the user's own ease of execution. It can be rewritten. At this time, in the present embodiment, as described above, the user's input ease of execution is a four-point score, but the input score is “%” by a predetermined table stored in advance. It is supposed to convert to. For example, “3 points” is converted to 100% ease of execution, “2 points” is converted to 66.7%, “1 point” is converted to 33.3%, and “0 point” is converted to 0%. Is done. Here, for environmentally friendly behaviors in which the user did not input the ease of execution as questionnaire information, the general person's execution ease stored in advance is used as it is in the processing described later.

  The degree of general recognition is a numerical value indicating how many people know about the corresponding environment-friendly behavior. Although not particularly limited, in this embodiment, when about half of the general public recognizes the corresponding environment-friendly behavior, the general recognition level is set to “0”, and such average recognition level is set. It is set so that the general recognition degree increases on the positive side as it becomes higher, while the general recognition degree decreases on the negative side as it becomes lower than the average recognition degree.

  The degree of environmental load reduction effect is a numerical value of the environmental load reduction effect in each environmentally conscious action based on research and literature conducted in advance. Although not particularly limited, in the present embodiment, the environmental load reduction effect degree is obtained when an average environmental load reduction effect is obtained among various environmental consideration actions with respect to one environmental consideration action. When the environmental load reduction effect is higher than the average, the environmental load reduction effect increases on the positive side. On the other hand, the lower the environmental load reduction effect is, the lower the environmental load reduction effect. Is set to decrease on the negative side.

  In the action content extraction means 20, the degree of ease of execution, the general recognition degree, and the environment in each environmentally conscious action according to the environmental awareness degree P1 and the environmental action recognition degree P2 individually obtained by the attribute information of the user. The combination of each range of the load reduction effect degree is determined, and the content of the environmental consideration action that falls within each range of the combination is extracted from the action database 18.

  In the present embodiment, the action content of the environmental consideration action is extracted as follows.

  First, as a first case, when the environmental awareness P1 is higher than the preset first threshold and the environmental behavior recognition P2 is higher than the preset second threshold, the preset first One or more action contents having an ease of execution lower than a threshold of 3, a general recognition level lower than a preset fourth threshold, and an environmental load reduction effect level lower than a preset fifth threshold Extracted. That is, the user corresponding to this case is highly conscious of environmental considerations and has a lot of knowledge about environmental consideration behaviors. Therefore, users in this case are most likely aware of environmentally friendly behavior that is easy to practice with high environmental impact reduction effects, and they are likely to have already practiced it because they have sufficient willingness to act. Therefore, in this case, action contents that are difficult to execute for the general public and have a low environmental load reduction effect and are not well known to the general public are extracted.

  Next, as a second case, when the environmental awareness P1 is lower than the first threshold and the environmental behavior recognition P2 is lower than the second threshold, the environmental awareness P1 is lower than the third threshold. One or more action contents having a high degree of execution ease, a general recognition level higher than the fourth threshold value, and an environmental load reduction effect level higher than the fifth threshold value are extracted. In other words, users who fall into this case have a low awareness of environmental considerations and do not have much knowledge of environmental considerations. For this reason, the users in this case know little about any environmental consideration behavior and have little willingness to act. Therefore, in this case, action contents that are easy to execute for the general public, have a high environmental load reduction effect, and are well known to the general public are extracted.

  As a third case, when the environmental awareness P1 is higher than the first threshold and the environmental behavior recognition P2 is lower than the second threshold, it is lower than the third threshold. One or a plurality of action contents having an ease of execution, a general recognition level higher than the fourth threshold value, and an environmental load reduction effect level higher than the fifth threshold value are extracted. That is, the user corresponding to this case has a high awareness of environmental considerations, but does not have much knowledge of environmental consideration behaviors. For this reason, the user of this case does not know much about the kind of environmentally conscious behavior, but if he proposes the content of the behavior, he is willing to practice even a somewhat difficult behavior. Therefore, in this case, action contents that are difficult to be executed by ordinary people, have a high environmental load reduction effect, and are well known to ordinary people are extracted.

  Further, as a fourth case, when the environmental awareness P1 is lower than the first threshold and the environmental behavior recognition P2 is higher than the second threshold, it is higher than the third threshold. One or more action contents having an ease of execution, a general recognition level lower than the fourth threshold value, and an environmental load reduction effect level higher than the fifth threshold value are extracted. That is, the user corresponding to this case has a lot of knowledge about the environmental consideration behavior although the awareness of environmental consideration is low. Therefore, the user of this case is not well known to the general public, and if there is an environmentally friendly behavior that can be easily performed, there is a sufficient possibility of practicing it. Therefore, in this case, action contents that are easy to execute for the general public and have a high environmental load reduction effect but are not well known to the general public are extracted.

  The action content extracting means 20 refers to the possessed product information input by the user out of the action contents extracted as described above, and excludes environmentally conscious actions relating to products that the user does not possess, Information is transmitted to the display device 13.

  The display device 13 is a device that can display various information such as characters, graphics, and voices, such as a display and a speaker, and the action content extracted by the action content extracting means 20 is a character, voice, or pseudo-character. It is displayed as an image reflected in the behavior. The display mode is not particularly limited, and any mode can be used as long as it can be transmitted to the user. In addition, the display device 13 may display one or a plurality of arbitrary action contents at random or in response to a user's request, or the quiz may be displayed in a quiz format or a game format that the user answers. It is possible to adopt various variations such as selecting and displaying one or a plurality of action contents corresponding to the response of the game.

  In the environment-friendly behavior suggestion system 10 having the above-described configuration, when the user registers his / her input information in the information providing device 12 by input from the input device 11, the index value calculation means 16 determines the user's environmental awareness P 1. The environmental behavior recognition P2 is obtained from the above formulas (1) and (2), and the action content extraction means 20 performs the ease of execution, the general recognition, and the environment according to the environmental awareness P1 and the environmental behavior recognition P2. From the viewpoint of the degree of load reduction effect, the action content of the environment-conscious action that matches the user's awareness of environmental load and the degree of knowledge is extracted, and the action content is displayed on the display device 13.

  Therefore, according to the environmental consideration action suggestion system 10, it is possible to propose an environmental consideration action that is appropriate for the user according to the user's awareness and knowledge of environmental issues, and to provide information on the environmental consideration action. The effect that it can be performed effectively is acquired.

  In addition, the said environmental consideration action proposal system 10 can be provided in the various terminals used by the user, other various products, facilities such as houses, and the like. In addition, while the input device 11 and the display device 13 are provided in a client side device (not shown) such as a product such as a terminal held by the user or equipment, a server that exists in a device or equipment different from the client side device The information providing device 12 may be provided (not shown), and the client-side device and the server may be connected via a line such as the Internet to make the above-mentioned environmentally friendly behavior proposal.

  In addition, questionnaire information entered by various users is sent to an aggregation server (not shown) via the Internet, etc., and each environmentally friendly behavior is calculated based on the results of questionnaire information input by many users. It is also possible to employ a system in which the degree of ease of execution and the degree of general recognition are corrected by summing up, and new data after the correction is transmitted to the behavior database 18 to rewrite old data.

  Further, the extraction of the action content by the action content extracting means 20 is not limited to the method of the above embodiment, and either or both of the environmental awareness degree P1 and the environmental action recognition degree P2 are used, and the environmental load on the user is reduced. Various methods can be adopted as long as the level of consciousness and knowledge can be automatically recognized and action content suitable for the level can be extracted. For example, after selecting a large number of candidate action contents from the environmental awareness P1 and the environmental behavior recognition P2, the elements of ease of execution, general recognition, and environmental load reduction effect are weighted. It is also possible to rank the selected environmentally conscious actions based on the weighting, and to display the action contents on the display device 13 in order according to the ranks.

Next, another embodiment of the present invention will be described. In the following description, the same reference numerals are used for the same or equivalent components as in the first embodiment, and the description is omitted or simplified.
(Second Embodiment)

  As shown in FIG. 3, the environmental load reduction support system 30 according to the present embodiment visualizes the environmental load in the user's house and owned product in addition to the environmentally conscious action proposal system 10 of the first embodiment. It is characterized in that an environmental load visualization diagnosis system 32 that performs diagnosis from the viewpoint of load reduction is provided.

  This environmental load visualization diagnostic system 32 creates a state detection device 34 that detects primary data related to various states that affect the environmental load, and creates secondary data related to the environmental load based on the primary data from the state detection device 34. Based on the secondary data, a data creation and diagnosis device 35 that diagnoses the usage state of a house or owned product from the viewpoint of reducing the environmental load is provided.

  The state detection device 34 includes various sensors capable of detecting primary data related to the state of the user's house and the state of various products present in the house. The primary data detected here is not particularly limited, but the power consumption of the entire house and the power consumption of each appliance, the gas consumption of the entire house, and the gas consumption of each gas appliance The oil consumption of the entire house and the oil consumption of products such as heating equipment that uses oil as fuel, the water consumption of the entire house and the water consumption of each device that uses water, and the carbon dioxide concentration in the ventilation part , The number of times the door of a refrigerator or the like is opened and closed, the temperature and humidity in the room or in the refrigerator, the illuminance in the room, the human information detected by the human sensor provided in each room, the outside temperature, the rainfall, and the shade Examples include weather information such as the presence or absence of a state. These primary data are detected at a predetermined timing (for example, once every 15 minutes) and sequentially transmitted to the data creation diagnostic device 35. The weather information can also be acquired from the Japan Meteorological Agency or a weather information providing service company and incorporated into the data creation diagnostic device 35.

  The data creation diagnostic device 35 is configured by a computer including an arithmetic processing unit such as a CPU and a storage device such as a memory and a hard disk, and a program for causing the computer to function as the following units and the like is installed.

  The data creation diagnostic device 35 uses the measurement data storage means 37 for storing the primary data received from the state detection device 34 and the primary data stored in the measurement data storage means 37 to create secondary data relating to the environmental load. Secondary data creation means 38, and environmental load diagnosis means 39 for diagnosing the user's environmental load based on the secondary data.

The secondary data creating means 38 includes a totaling unit 42 that aggregates each primary data, a CO ₂ emission calculating unit 43 that calculates the amount of carbon dioxide emission of each owned product, and a primary energy consumption amount of each owned product. And a primary energy consumption calculation unit 44 that calculates the above by calculation. Therefore, the totaling result in the totaling unit 42, the carbon dioxide emission calculated by the CO ₂ emission calculating unit 43, and the primary energy consumption calculated by the primary energy consumption calculating unit 44 are secondary data creation means. This is the secondary data created at 38.

  In the totaling unit 42, each primary data is totaled in the following procedure. That is, each primary data excluding information on temperature and humidity is summed in a predetermined time unit (for example, every hour), and the summed value is displayed over time for a predetermined period (for example, one day). A graph is created. In addition, regarding information on temperature and humidity, a graph is created that displays the temperature and humidity over time over a predetermined period (for example, one day).

The CO ₂ emission amount calculation unit 43 obtains the carbon dioxide emission amount X in a predetermined time unit (for example, every hour) for each owned product existing in the house by the following equation (3). Thus, a graph is generated that displays the discharge amount X over time over a predetermined period (for example, one day).

X = E × K1 (3)

Here, E is the energy consumption of each product (power consumption, gas consumption, oil consumption, water consumption, etc.), and is obtained by counting the primary data from the state detection device 34 in units of the predetermined time. Is substituted. K1 is a constant (conversion coefficient) that is set for each product and is stored in advance in the CO ₂ emission calculation unit 43.

In the primary energy consumption calculation unit 44, after obtaining the primary energy consumption Y in a predetermined time unit (for example, every hour) for each possessed product existing in the house by the following equation (4). Then, a graph is created that displays the primary energy consumption Y over time over a predetermined period (for example, one day).

Y = E × K2 (4)

Here, E is the energy consumption amount of each product as in the above equation (3), and K2 is a constant (conversion coefficient) that is set for each product and stored in advance in the primary energy consumption amount calculation unit 44. It is.

  The environmental load diagnosis means 39 matches the diagnosis database 46 storing information necessary for diagnosis, the information in the diagnosis database 46 and the secondary data created by the secondary data creation means 38, and the entire house Based on the result of the determination unit 47 for determining whether the usage state of each product is appropriate or inappropriate, and the result of the determination unit 47, the performance data to be displayed on the display device 13 is selected from secondary data and A performance data extraction unit 48 that transmits to the display device 13 is provided.

  The diagnosis database 46 stores the type of secondary data used for determination and the appropriate range of the secondary data for the entire house and product to be diagnosed. For example, in the case of an air conditioner, the type of secondary data used for the determination is the temperature and humidity of the room where the air conditioner is installed, the amount of carbon dioxide emitted from the air conditioner, and the person who is installing the air conditioner. Sensation information can be illustrated, and if it is a refrigerator, the opening / closing frequency | count of the door of a refrigerator and the temperature and humidity in a refrigerator can be illustrated.

  Based on the information in the diagnostic database 46, the determination unit 47 extracts secondary data used for the determination from the secondary data creation means 38 for the entire house to be diagnosed and owned products, and the extracted secondary data. Is within the proper range, and if it is within the proper range, it is determined that the use state of the diagnosis target is appropriate, while if it is out of the proper range, the use state is inappropriate. judge.

  The result data extraction unit 48 uses all or a part of the secondary data used for the determination as it is for the diagnosis target product or the like whose use state is determined to be inappropriate, or after processing or counting. And transmitted to the display device 13 as performance data.

  The display device 13 displays performance data about a diagnosis target that is determined to be inappropriate in use state, and displays action contents related to the diagnosis object among the environmental consideration actions extracted by the action content extraction unit 20. It can also be displayed.

  According to the present embodiment, it is possible to make a diagnosis regarding the environmental load of the entire user's house and the owned product based on the actual usage situation, and to propose an environment-friendly action appropriate for the user in accordance with the diagnosis. It is possible to obtain the effect of effectively providing information on environmental load reduction according to the lifestyle of the user.

  The configuration of each part of the apparatus in the present invention is not limited to the illustrated configuration example, and various modifications are possible as long as substantially the same operation is achieved.

DESCRIPTION OF SYMBOLS 10 Environment consideration action suggestion system 15 Memory | storage means 16 Index value calculation means 18 Action database 20 Action content extraction means 30 Environmental load reduction support system 32 Environmental load visualization diagnostic system 34 State detection apparatus 35 Data preparation diagnostic apparatus

Claims (7)

A system that proposes environmentally-friendly behavior that is appropriate for the user according to the attribute information of the individual user.
A storage means for storing the attribute information, and an index value calculation for obtaining a numerical value as an index relating to awareness and knowledge of the environmental load of the user by substituting a numerical value corresponding to the attribute information into a mathematical formula stored in advance. Means, a behavior database in which a variety of behavior contents of the environmentally conscious behavior are stored, and the user from among the behavior contents stored in the behavior database based on the numerical value obtained by the index value calculation means An environment-conscious action suggestion system comprising action content extraction means for extracting the action content adapted to the above. In the index value calculation means, the environmental consciousness obtained by quantifying the degree of awareness of the user regarding environmental considerations, and the environmental behavior recognition obtained by quantifying the user's recognition of the overall behavior that contributes to reducing the environmental load. And
The behavior database is a numerical value of the ease of execution obtained by quantifying the ease of execution of ordinary people, the degree of general recognition obtained by quantifying the degree of recognition of ordinary people, and the environmental impact reduction effect corresponding to each action content. The degree of environmental impact reduction effect
In the action content extraction means, a combination of the range of the ease of execution, the range of the general recognition degree, and the range of the environmental load reduction effect degree is determined according to the environmental awareness level and the environmental behavior recognition level, The environment-conscious action suggestion system according to claim 1, wherein the action content within each range in the combination is extracted.   3. The environment-friendly behavior suggestion system according to claim 2, wherein the behavior database is provided so that a general person's execution ease stored in advance can be rewritten to the user's own execution ease. The storage means also stores product information held by the user,
The behavior content extracting unit extracts the behavior content based on the product information stored in the storage unit, excluding the behavior content related to a product not owned by the user. Environmental consideration action suggestion system according to 1, 2 or 3. An environmental load reduction support system comprising the environmental action proposal system according to any one of claims 1 to 4,
In addition to visualizing the environmental load in the product owned by the user, further comprising an environmental load visualization diagnostic system for diagnosing the usage state of the product from the viewpoint of reducing the environmental load,
The environmental load visualization diagnostic system creates secondary data related to environmental load based on primary data from the state detection device that detects primary data related to the various states that influence environmental load, and the state detection device, An environmental load reduction support system comprising: a data creation and diagnosis device that performs the diagnosis based on the secondary data. In the data creation diagnostic device, it is determined whether or not the usage state of each product is appropriate,
6. The environmental load reduction support system according to claim 5, wherein the action content extraction unit extracts the action content related to a product that is determined to be inappropriate in use by the data creation and diagnosis device. A program that causes a computer used in a system that proposes environment-friendly behavior appropriate to the user according to the attribute information of the individual user,
A storage means for storing the attribute information, and an index value calculation for obtaining a numerical value as an index relating to awareness and knowledge of the environmental load of the user by substituting a numerical value corresponding to the attribute information into a mathematical formula stored in advance. Means, a behavior database in which a variety of behavior contents of the environmentally conscious behavior are stored, and the user from among the behavior contents stored in the behavior database based on the numerical value obtained by the index value calculation means A program for causing the computer to function as an action content extracting means for extracting the action contents adapted to the above.

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