Carbon emission amount calculation system and carbon emission amount calculation method

Abstract

To provide a carbon emission amount calculation system and a carbon emission amount calculation method for calculating an individual carbon emission amount.SOLUTION: A carbon emission amount calculation system includes a computing device and a detection element. The detection element is connected to the computing device and is provided in a mobile carrier. When the detection element detects an identity of a user, the detection element outputs inbound data to the computing device, and the computing device starts to calculate use information on the basis of the inbound data. When the detection element detects the identity of the user again, the detection element outputs outbound data to the computing device, and the computing device finishes the calculation of the user information on the basis of the outbound data. The computing device calculates an individual carbon emission amount on the basis of the inbound data, the outbound data, and a use information calculation.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a calculation system, and more particularly to a carbon emission calculation system and a carbon emission calculation method. [Background technology]

[0002] Current carbon emission calculations are mainly based on large-scale calculations. However, as internal carbon pricing becomes an important tool for enterprises to reduce carbon emissions, it is currently impossible to reduce or manage carbon in specific scenarios. For example, the carbon emissions of elevators cannot be calculated automatically individually, so carbon emission data cannot be effectively used to improve each enterprise's awareness of carbon reduction or to assist enterprises in internal carbon pricing. Summary of the Invention [Problem to be solved by the invention]

[0003] The present invention provides a carbon emission calculation system and a carbon emission calculation method capable of calculating an individual's carbon emission amount. [Means for solving the problem]

[0004] The carbon emission calculation system of the present invention includes a computing device and a detection element. The detection element is coupled to the computing device and mounted on a mobile carrier. When the detection element detects the identity of the user, the detection element outputs inbound data to the computing device, and the computing device starts to calculate the usage information based on the inbound data. When the detection element detects the identity of the user again, the detection element outputs outbound data to the computing device, and the computing device finishes calculating the usage information based on the outbound data. The computing device calculates the personal carbon emission based on the inbound data, the outbound data, and the usage information calculation.

[0005] The carbon emission calculation method of the present invention includes the following steps: when a detection element provided on a mobile carrier detects the identity of a user, output inbound data to a computing device via the detection element; start calculating usage information based on the inbound data via the computing device; when the detection element detects the identity of the user again, output outbound data to the computing device via the detection element; finish calculating usage information based on the outbound data via the computing device; calculate personal carbon emission based on the inbound data, outbound data and usage information calculation via the computing device. Effect of the Invention

[0006] Based on the above, the carbon emission calculation system and carbon emission calculation method of the present invention can calculate the personal carbon emission of a user who rides on a mobile carrier.

[0007] In order to make the above mentioned features and advantages of the present invention clearer and easier to understand, embodiments are shown and described in detail below with reference to the accompanying drawings. [Brief description of the drawings]

[0008] [Figure 1] 1 is a schematic diagram of a carbon emission calculation system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a flow diagram of a carbon emission calculation method according to an embodiment of the present invention. [Diagram 3] 1 is a schematic diagram of a carbon emission calculation system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Reference will now be made in detail to the exemplary embodiments of the invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the description to refer to the same or like parts.

[0010] FIG. 1 is a schematic diagram of a carbon emission calculation system according to an embodiment of the present invention. Referring to FIG. 1, the carbon emission calculation system 100 includes a computing device 110 and a detection element 120. The computing device 110 can be coupled to the detection element 120 through a wired or wireless manner. In this embodiment, the detection element 120 can be provided in a mobile carrier 200 to record inbound data and outbound information of users who get on and off the mobile carrier. The computing device 110 can calculate personal carbon emission based on the inbound data and outbound information of users who get on and off the mobile carrier. The computing device 111 can be realized by, for example, a remote monitoring host or a cloud server, but the present invention is not limited thereto. The mobile carrier 200 can be, for example, a carrier such as an elevator, an escalator, a bus, or various vehicles.

[0011] In this embodiment, the computing device 110 includes a computing module 111 and a database 112. The computing module 111 may include, for example, a Central Processing Unit (CPU) or other programmable general-purpose or special-purpose microprocessor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), other similar processing circuitry, or a combination of these devices. In this embodiment, the database 112 may include a memory. The detection element 120 may be, for example, a sensory and / or physical detection element such as various identity verification devices.

[0012] FIG. 2 is a flow diagram of a carbon emission calculation method according to an embodiment of the present invention. Referring to FIG. 1 and FIG. 2, the carbon emission calculation system 100 may perform the following steps S210 to S250. In this embodiment, the mobile carrier 200 may be an elevator facility, and a user (e.g., an office worker) may board the elevator facility. In step S210, when the detection element 120 first detects the identity of the user, the detection element 120 may output inbound data to the computing device 111. The inbound data may be starting floor information. In step S220, the computing device 111 may start calculating usage information based on the inbound data. In step S230, when the detection element 120 detects the identity of the user again, the detection element 120 may output outbound data to the computing device 111. The outbound data may be arrival floor information. In step S240, the computing device 111 may end the calculation of usage information based on the outbound data. In step S250, the computing device 111 can calculate a personal carbon footprint based on the inbound data, the outbound data and the usage information calculation.

[0013] In one embodiment, the usage information may include the usage time when the user boards the mobile carrier 200. The computing device 111 can calculate the personal carbon emission amount based on the power parameters, usage time, and power carbon emission factor corresponding to the mobile carrier 200. Here, the computing device 111 can obtain the personal carbon emission amount CE1 by calculating the following formula (1). In formula (1), P is the power parameter of the elevator equipment (unit: watts) (known parameter); t is the usage time of the mobile carrier 200; EF is the power carbon emission factor of the elevator equipment (unit: carbon emission amount / kilowatt-hour) (known parameter). Note that the power carbon emission factor can be determined based on the amount of carbon dioxide (CO2) emitted per kilowatt-hour of power energy generated by different power generation methods and energy sources, and the present invention is not limited thereto. CE1=P×t×EF……Formula (1)

[0014] For example, when a user enters the elevator facility and clocks in through the detection element 120, the computing device 111 can obtain inbound data and start calculating the usage (boarding) time. When a user leaves the elevator facility and clocks in through the detection element 120, the computing device 111 can obtain outbound data and finish calculating the usage time. Thus, the computing device 111 can calculate the personal carbon emission according to the above formula (1).

[0015] In another embodiment, the usage information may also include the power consumption record of the mobile carrier 200. The computing device 111 can calculate the personal carbon emission amount based on the power consumption record and the power carbon emission factor corresponding to the mobile carrier 200. Here, the computing device 111 can obtain the personal carbon emission amount CE2 by calculating the following formula (2): In formula (2), ER is the elevator energy consumption data (unit: kilowatt-hours) obtained through the power consumption record element. CE2=ER×EF……Formula (2)

[0016] For example, when a user enters the elevator facility (mobile carrier 200) and clocks in through the detection element 120, the computing device 111 can obtain inbound data and start calculating the power consumption. When a user leaves the elevator facility and clocks in through the detection element 120, the computing device 111 can obtain outbound data and finish calculating the power consumption. Thus, the computing device 111 can calculate the personal carbon emission according to the above formula (2).

[0017] In yet another embodiment, when the detection element 120 detects multiple user identities, the computing device 111 can calculate the total carbon emissions of the mobile carrier based on the maximum usage information. Furthermore, the computing device 111 can calculate the per capita carbon emissions (i.e., personal carbon emissions) of different floors based on the multiple inbound data and multiple outbound data corresponding to these user identities.

[0018] For example, assume that N people get on the elevator at floor m0 and head to floor m1. Assume that K people get on the elevator at floor m0 and head to floor m2. Assume that I people get on the elevator at floor m0 and head to floor m3 (m3>m2>m1>m0). The computing device 111 can divide the total carbon emissions of the elevator installation from floor m0 to floor m1 by N to obtain an average carbon emissions per person of N people. The computing device 111 can add the result of dividing the total carbon emissions of the elevator installation from floor m1 to floor m2 by K to the result of dividing the total carbon emissions of the elevator installation from floor m0 to floor m1 by N to obtain an average carbon emissions per person of K people. The computing device 111 can obtain an average carbon emission per person of I people by adding the total carbon emission of the elevator installations from floor m0 to floor m1 divided by N to the total carbon emission of the elevator installations from floor m1 to floor m2 divided by K, and further adding the total carbon emission of the elevator installations from floor m2 to floor m3 divided by I. Thus, the computing device 111 can calculate the average carbon emission per person of each floor based on this calculation. Furthermore, examples of different numbers of people and different floors can be calculated similarly.

[0019] Also, for example, assume that five people get on an elevator on the first floor, three people go to the fifth floor, and two people go to the seventh floor. Taking the personal carbon emissions arriving at the top floor (the seventh floor) as an example, the computing device 111 can obtain the personal carbon emissions of the two people arriving at the seventh floor by adding the result of dividing the total carbon emissions of the elevator installations from the first floor to the fifth floor by five to the result of dividing the total carbon emissions of the elevator installations from the fifth floor to the seventh floor. The personal carbon emissions of the other floors can be calculated in a similar manner.

[0020] Also, for example, when five people get on an elevator on the first floor, three people head to the fifth floor, and two people head to the seventh floor, and the elevator arrives on the third floor, taking the personal carbon emissions of the people arriving at the top floor (the seventh floor) as an example, the computing device 111 can obtain the personal carbon emissions of the two people who arrived on the seventh floor by dividing the total carbon emissions of the elevator equipment from the first floor to the third floor by five, adding the result of dividing the total carbon emissions of the elevator equipment from the third floor to the fifth floor by seven, and further adding the result of dividing the total carbon emissions of the elevator equipment from the fifth floor to the seventh floor by two. The personal carbon emissions of the other floors can be calculated in a similar manner.

[0021] FIG. 3 is a schematic diagram of a carbon emission calculation system according to an embodiment of the present invention. Referring to FIG. 3, the carbon emission calculation system 300 includes a computing device 310 and a detection element 320. The computing device 310 can be coupled to the detection element 320 through a wired or wireless manner. In this embodiment, the detection element 320 can be provided in the mobile carrier 200 to record inbound data and outbound information of users who get on and off the mobile carrier. In this embodiment, the computing device 310 includes a computing module 311 and a database 312. The database 312 is coupled to the computing module 311. The computing module 311 can calculate individual carbon emission based on the inbound data and outbound information of users who get on and off the mobile carrier. The computing module 311 can execute the method shown in the embodiment of FIG. 1 and FIG. 2 to calculate individual carbon emission and / or multi-person carbon emission.

[0022] In this embodiment, the computing module 311 can record the inbound data and the outbound data in the inbound and outbound database 3121 in the database 312, and record the individual carbon emissions and / or the multi-person carbon emissions in the carbon emissions database 3122 in the database. In this embodiment, the computing module 311 can execute the application program 313, and display the individual carbon emissions and / or the multi-person carbon emissions data by the application program 313 reading the database 312. Alternatively, in one embodiment, the application program 313 can perform related analysis and computing based on the individual carbon emissions and / or the multi-person carbon emissions data, and generate corresponding carbon emissions assessments or suggestions, but the present invention is not limited thereto. The application program 313 can also display the individual carbon emissions and / or the multi-person carbon emissions data through a specific user interface, and / or enable the user to perform a query function on the above-mentioned carbon emissions information through the application program 313.

[0023] In summary, the carbon emission calculation system and method of the present invention calculate information regarding carbon emissions generated when each user boards a mobile carrier, and record the relevant information in a database to provide, for example, a business or individual with access to facilitate carbon management and / or carbon pricing. The carbon emission calculation system and method of the present invention can obtain individual carbon emissions and / or multi-person carbon emissions, which can be used for applications such as developing carbon reduction strategies (i.e., carbon management) or collecting internal carbon prices (i.e., carbon pricing).

[0024] Finally, it should be noted that the above embodiments are provided solely to illustrate the technical solutions of the present invention, and do not limit the present invention. Those skilled in the art should understand that the technical solutions recorded in the above embodiments can still be modified, or equivalent replacements can be made for part or all of the technical features. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to depart from the scope of the technical solutions of each embodiment of the present invention. [Industrial Applicability]

[0025] The carbon emission calculation system and the carbon emission calculation method of the present invention can be applied to a mobile carrier. [Explanation of symbols]

[0026] 100, 300: Carbon Emissions Calculation System 110, 310: Computing equipment 111, 311: Computing module 112, 312: Database 120, 320: Detection element 200, 400: Mobile carrier 3121: Inbound and outbound database 3122: Carbon Emissions Database S210~S250: Step

Claims

1. A computing device; a detection element coupled to the computing device and mounted on a mobile carrier; Equipped with When the detection component detects the identity of the user, the detection component outputs inbound data to the computing device, and the computing device initiates calculation of usage information based on the inbound data; When the detection component again detects the identity of the user, the detection component outputs outbound data to the computing device, and the computing device completes calculation of the usage information based on the outbound data; the computing device calculating a personal carbon footprint based on the inbound data, the outbound data, and the usage information. Carbon Emissions Calculation System.

2. the usage information includes a time of usage, and the computing device calculates the personal carbon emission based on a power parameter corresponding to the mobile carrier, the time of usage, and a power carbon emission factor. The carbon emission calculation system according to claim 1 .

3. The usage information includes an electricity consumption record, and the computing device calculates the personal carbon emission amount based on the electricity consumption record and an electricity carbon emission factor. The carbon emission calculation system according to claim 1 .

4. The computing device includes: a computing module coupled to the sensing element; a database coupled to the computing module; Equipped with The computing module records the inbound data, the outbound data and the individual carbon emissions in the database, and the computing module executes an application program, and the application program displays the information of the individual carbon emissions by reading the database. The carbon emission calculation system according to claim 1 .

5. The mobile carrier is an elevator installation. The carbon emission calculation system according to claim 1 .

6. The inbound data is starting floor information, and the outbound data is arrival floor information. The carbon emission calculation system according to claim 5 .

7. If the detection element detects a plurality of user identities, the computing device calculates a total carbon emission of the mobile carrier based on the maximum usage information, and calculates a per capita carbon emission of different floors based on the plurality of inbound data and the plurality of outbound data corresponding to the plurality of user identities. The carbon emission calculation system according to claim 5 .

8. outputting inbound data to a computing device by a detection element disposed on the mobile carrier upon detection of the user's identity; initiating, via the computing device, a calculation of usage information based on the inbound data; outputting outbound data to the computing device via the detection element when the detection element again detects the identity of the user; completing, via the computing device, the calculation of the usage information based on the outbound data; and calculating, via the computing device, a personal carbon footprint based on the inbound data, the outbound data, and the usage information; Carbon emissions calculation methodology, including:

9. The usage information includes a usage time, The step of calculating the personal carbon footprint comprises: calculating, via the computing device, the personal carbon emissions based on power parameters corresponding to the mobile carrier, the duration of use, and a power carbon emissions factor; Including, The carbon emission calculation method according to claim 8.

10. The usage information includes a power consumption record; The step of calculating the personal carbon footprint comprises: calculating, via the computing device, the personal carbon emission amount based on the electricity consumption records and an electricity carbon emission factor; Including, The carbon emission calculation method according to claim 8.

11. the computing device includes a computing module and a database; The carbon emission calculation method includes the steps of: recording, via the computing module, the inbound data, the outbound data, and the personal carbon footprint in the database; Running an application program via the computing module, the application program reading the database to display the personal carbon emission information; Further comprising: The carbon emission calculation method according to claim 8.

12. The mobile carrier is an elevator installation. The carbon emission calculation method according to claim 8.

13. The inbound data is starting floor information, and the outbound data is arrival floor information. The carbon emission calculation method according to claim 12.

14. if the detection element detects the identity of multiple users, calculating, via the computing device, a total carbon footprint of the mobile carrier based on maximum usage information; Calculating, via the computing device, a per capita carbon emission of different floors based on a plurality of inbound data and a plurality of outbound data corresponding to the identities of the plurality of users; Further comprising: The carbon emission calculation method according to claim 12.

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