Carbon emission management system and management method thereof

Abstract

PURPOSE: To provide a carbon emission management system and a management method thereof, which can contribute to achieving the goal of net zero carbon emissions.SOLUTION: A route optimization calculation module can calculate a travel route from a first destination to a second destination based on at least one of vehicle type, minimum travel distance, and minimum travel time. A carbon emission calculation module can calculate a total carbon emission of each candidate vehicle from its location as a departure point to an end of the travel route based on the travel route, carbon emission coefficients of multiple candidate vehicles, and locations of the candidate vehicles, and can select one candidate vehicle from among the multiple candidate vehicles as an assigned vehicle for traveling the travel route based on the total carbon emission of each candidate vehicle.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] The current challenges facing the logistics industry include the inability to effectively quantify carbon emissions, the lack of optimal route planning for multi-point deliveries, and the inability to create incentives for carbon emission reduction, resulting in inefficient routes and high carbon emissions for logistics operators. Therefore, how to provide highly efficient, low-carbon options and enable the logistics industry to effectively respond to global net-zero carbon emissions has become a key issue. Summary of the Invention [Problem to be solved by the invention]

[0003] The present invention provides a carbon emissions management system and method that can provide a highly efficient, low carbon option and contribute to achieving the goal of net zero carbon emissions. [Means for solving the problem]

[0004] The carbon emission management system of the present invention includes a route optimization calculation module and a carbon emission calculation module. The route optimization calculation module calculates a driving route from a first destination to a second destination based on at least one of vehicle type, shortest driving distance, and shortest driving time. The carbon emission calculation module calculates the total carbon emission amount from the departure of each candidate vehicle from its position to the completion of driving the driving route based on the driving route and the carbon emission coefficients and positions of multiple candidate vehicles, and selects one vehicle from the multiple candidate vehicles to drive the driving route based on the total carbon emission amount of each candidate vehicle.

[0005] In one embodiment of the present invention, the route optimization calculation module further updates the driving route based on the third destination added by the destination addition command. The carbon emission calculation module further calculates the total carbon emission amount from the departure of each candidate vehicle from its position to the completion of driving the updated driving route based on the carbon emission coefficients and positions of the plurality of candidate vehicles.

[0006] In one embodiment of the present invention, the carbon emission management system is a logistics management system. The route optimization calculation module calculates a driving route based on an order command. The route optimization calculation module further adjusts waiting positions of the plurality of candidate vehicles based on order history information.

[0007] In one embodiment of the present invention, the above-mentioned destination addition command is an order merge command.

[0008] In one embodiment of the present invention, the carbon emission management system described above includes a storage unit for storing order history information, map information, driving route history information, and carbon emission coefficient information of the vehicle.

[0009] In one embodiment of the present invention, the carbon emission calculation module described above further selects a vehicle to be responsible based on the driving distances of the plurality of candidate vehicles described above.

[0010] The present invention further provides a management method for a carbon emission management system, including the following steps: Calculating a driving route from a first destination to a second destination based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time; Calculating a total carbon emission amount from each candidate vehicle from its position to the end of driving the driving route based on the driving route and the carbon emission coefficients and locations of multiple candidate vehicles; Selecting one vehicle from the multiple candidate vehicles to drive the driving route based on the total carbon emission amount of each candidate vehicle.

[0011] In one embodiment of the present invention, the above-mentioned method for managing a carbon emission management system includes the following steps: Update a driving route based on the third destination added by the destination addition command; Calculate a total carbon emission amount from the time each candidate vehicle departs from its position to the time it finishes traveling the updated driving route based on the carbon emission coefficients and positions of the above-mentioned multiple candidate vehicles.

[0012] In one embodiment of the present invention, the carbon emission management system is a logistics management system, and a management method for the carbon emission management system includes calculating a driving route based on an order command, and adjusting waiting positions of the plurality of candidate vehicles based on order history information.

[0013] In one embodiment of the present invention, the above-mentioned destination addition command is an order merge command.

[0014] In one embodiment of the present invention, the above-described method for managing a carbon emission management system includes selecting a vehicle to be responsible based on the travelable distances of the above-described plurality of candidate vehicles. [Effects of the Invention]

[0015] As described above, the route optimization calculation module of an embodiment of the present invention can calculate a driving route from a first destination to a second destination based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time. The carbon emission calculation module can calculate the total carbon emissions from each candidate vehicle from its location to the end of the driving route based on the driving route and the carbon emission factors and locations of the multiple candidate vehicles, and select one vehicle from the multiple candidate vehicles to drive the driving route based on the total carbon emissions of each candidate vehicle. In this way, calculating the total carbon emissions of the candidate vehicles based on the driving route and the carbon emission factors and locations of the candidate vehicles and selecting a vehicle based on the total carbon emissions of the candidate vehicles can provide highly efficient, low-carbon options and contribute to achieving carbon neutrality goals.

[0016] In order to make the above-mentioned features and advantages of the present invention more clearly understandable, the following embodiments will be described in detail in conjunction with the accompanying drawings. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is a schematic diagram of a carbon emissions management system according to an embodiment of the present invention; [Figure 2] 2 is a flowchart of a method for managing a carbon emission management system according to an embodiment of the present invention. [Figure 3] 4 is a flowchart of a method for managing a carbon emission management system according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] 1 is a schematic diagram of a carbon emission management system according to an embodiment of the present invention. Referring to FIG. 1, the carbon emission management system 100 may include a route optimization calculation module 102, a carbon emission calculation module 104, and a storage unit 106, where the route optimization calculation module 102 is coupled to the carbon emission calculation module 104 and the storage unit 106, and the carbon emission calculation module 104 is further coupled to the storage unit 106. Here, the route optimization calculation module 102 and the carbon emission calculation module 104 may be implemented by, for example, a processor or a microcontroller, and the storage unit 106 may be implemented by, for example, a non-volatile memory, but the present invention is not limited thereto.

[0019] The route optimization calculation module 102 can calculate a driving route from a first destination to a second destination based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time. For example, if the vehicle is a motorcycle, the motorcycle's driving route from the first destination to the second destination can be calculated based on at least one of the motorcycle's shortest driving distance and shortest driving time. Similarly, if the vehicle is an automobile, the automobile's driving route from the first destination to the second destination can be calculated based on at least one of the automobile's shortest driving distance and shortest driving time. Here, the vehicle type may be a motorcycle, an automobile, or another vehicle, such as a bicycle, although the present invention is not limited thereto. Alternatively, the vehicle type may refer to the power type of the vehicle, such as a fuel-powered vehicle, a hybrid vehicle, or an electric vehicle.

[0020] The carbon emission calculation module 104 calculates the total carbon emission amount from the time each candidate vehicle departs from its position to the time it finishes traveling the travel route based on the travel route and the carbon emission factors and locations of the multiple candidate vehicles, and can select one of the candidate vehicles to travel the travel route based on the total carbon emission amount of each candidate vehicle. More specifically, the carbon emission calculation module 104 calculates the total carbon emission amount generated when each candidate vehicle travels from the position of each candidate vehicle to the second destination along the travel route calculated by the carbon emission calculation module 104 for each candidate vehicle located at different positions, and can select the responsible vehicle based on the total carbon emission amount of each candidate vehicle. For example, the candidate vehicle with the lowest total carbon emission amount can be selected as the responsible vehicle.

[0021] It should be noted that if the candidate vehicles are all similar vehicles (e.g., all motorcycles or all cars, but with different or the same power types), the driving route for each candidate vehicle calculated by the carbon emission calculation module 104 may be the same, but if the candidate vehicles include different vehicles (e.g., including motorcycles and cars), the driving route corresponding to each candidate vehicle calculated by the carbon emission calculation module 104 may be different. The carbon emission calculation module 104 can calculate the total carbon emission of the driving route corresponding to each candidate vehicle, and based on this, select a responsible vehicle and its corresponding driving route.

[0022] In some embodiments, the carbon emission calculation module 104 can further select a vehicle to be assigned based on the candidate vehicle's remaining driving distance. For example, if the candidate vehicle's remaining power or fuel is insufficient to complete the driving route, the carbon emission calculation module 104 can exclude the candidate vehicle from selection. The remaining power or fuel of the candidate vehicle can be monitored, for example, by a monitor installed in the candidate vehicle and transmitted to the carbon emission calculation module 104. The carbon emission calculation module 104 can receive the monitor's monitoring information via, for example, a wireless transmission module (not shown; it may be, for example, a mobile communication module, but the present invention is not limited thereto). When the candidate vehicle's remaining power or fuel is low, it can send location information of a charging station or gas station to the candidate vehicle. The location information of the charging station or gas station can be stored, for example, in the storage unit 106 or obtained, for example, from map information stored in the storage unit 106. In addition to the map information, the storage unit 106 can also store driving route history information, vehicle carbon emission factor information, and location information of the candidate vehicle. Here, the driving route history information may be, for example, the driving route previously calculated by the route optimization calculation module 102 and the corresponding vehicle type and driving time of the vehicle in charge. By storing the driving route history information in the storage unit 106, the accuracy and efficiency of route planning can be continuously optimized.

[0023] Furthermore, when the candidate vehicle is a fuel vehicle, the total carbon emissions CEf of the candidate vehicle can be calculated, for example, by the following formula (1).

[0024]

number

[0025] where Oef is the fuel motorcycle emission factor, which represents the greenhouse gas emissions generated by burning fuel; FE is the fuel efficiency, which represents the maximum number of kilometers a fuel or hybrid vehicle can travel on one liter of gasoline; and D is the total distance traveled.

[0026] When the candidate vehicle is a hybrid vehicle, the total carbon emissions CEh of the candidate vehicle can be calculated, for example, by the following equation (2).

[0027]

number

[0028] Here, EDh is the driving range of a hybrid vehicle and can be set to, for example, 35 km, but the present invention is not limited to this and different values ​​can be set for different vehicles. Eef is the electricity carbon emission factor and represents the amount of greenhouse gas emissions generated when a public power company sells 1 kilowatt-hour of electricity. EE is the power efficiency and represents the maximum number of kilometers a hybrid or electric vehicle can travel on 1 kilowatt-hour of power.

[0029] When the candidate vehicle is an electric vehicle, the total carbon emissions CEe of the candidate vehicle can be calculated, for example, by the following formula (3).

[0030]

number

[0031] In this way, by calculating the total carbon emissions of candidate vehicles based on the driving route, the carbon emission coefficient and location of the candidate vehicles, and selecting the vehicle to be assigned based on the total carbon emissions of the candidate vehicles, it is possible to provide highly efficient, low-carbon options and contribute to achieving the goal of carbon neutrality.

[0032] In another embodiment, the route optimization calculation module 102 can further update the driving route based on a third destination added by the destination addition command. For example, when adding a third destination, the route optimization calculation module 102 recalculates a driving route from the first destination to the third destination and then to the second destination based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time. Here, the order of travel between the first destination, the second destination, and the third destination is not limited to this and can be changed depending on the setting of the destination addition command. Similarly, the carbon emission calculation module 104 can calculate the total carbon emission from the departure of each candidate vehicle from its position to the completion of traveling the updated driving route based on the carbon emission coefficients and positions of the multiple candidate vehicles.

[0033] In some embodiments, the carbon emission management system can be applied to, for example, logistics management (e.g., logistics management systems for food delivery, express delivery, etc.). The route optimization calculation module 102 can calculate a driving route based on an order command. For example, the route optimization calculation module 102 receives an order command from a customer's mobile phone and calculates a driving route for a vehicle (e.g., a motorcycle, a car, or a vehicle of a different power type, but the present invention is not limited thereto) to travel from a pickup point (first destination) indicated by the order command to a delivery point (second destination) based on the method of the above-described embodiment. The implementation method for calculating the driving route has already been described in the above-described embodiment, so it will not be described again here.

[0034] Similarly, the carbon emission calculation module 104 calculates the total carbon emissions generated when each logistics company (candidate vehicle) at a different location travels from the location of each logistics company to the delivery point (second destination) along the travel route calculated by the carbon emission calculation module 104, and can select a responsible logistics company (responsible vehicle) based on the total carbon emissions corresponding to each logistics company. For example, the logistics company (candidate vehicle) with the smallest total carbon emissions can be selected as the responsible logistics company (responsible vehicle). If the responsible vehicle is an unmanned vehicle, the carbon emission calculation module 104 can control the movement of the responsible vehicle based on the direct travel route to transport the customer or cargo to the delivery point.

[0035] For example, as shown in Table 1 below, the carbon emission calculation module 104 can select logistics company H, which has the smallest total carbon emission, as the logistics company responsible for cargo delivery.

[0036] [Table 1]

[0037] In some embodiments, the route optimization calculation module 102 can further receive an order integration command (a destination addition command) from the customer's mobile phone and update the driving route based on the destination (third destination) corresponding to the order integration command. The implementation method of the route optimization calculation module 102 for updating the driving route has already been described in the above-mentioned embodiments, and therefore will not be repeated here.

[0038] For example, as shown in Table 2 below, if a customer agrees to order consolidation and issues an order consolidation command, the carbon emission calculation module 104 can select logistics provider D, which has the lowest total carbon emissions, as the logistics provider responsible for cargo delivery.

[0039] [Table 2]

[0040] Because an order consolidation command may increase customer waiting times, in some embodiments, the route optimization calculation module 102 may provide corresponding reward feedback to the customer who issued the order consolidation command. For example, a reward notification may be issued via a wireless transmission module to notify the customer that a benefit such as cash back or a discount has been provided, but the present invention is not limited to this. The reward feedback provided to the customer may be calculated based on, for example, the distance traveled after the order consolidation. The longer the distance traveled, the greater the reward feedback provided. In some embodiments, the green profit reduction is calculated by subtracting the carbon emissions of the responsible logistician from the average carbon emissions of all logisticians. If the green profit reduction is less than zero, no reward is provided. If the reward is cash back, the cash back may be estimated based on the company's internal carbon pricing or the publicly available prices of domestic and international carbon credits.

[0041] In some embodiments, the carbon emission calculation module 104 may further consider delivery time when selecting a responsible logistics provider (vehicle). For example, in the embodiment of Table 2, if the customer's order consolidation directive further limits delivery to within 30 minutes, the carbon emission calculation module 104 may instead select logistics provider B as the responsible logistics provider for cargo delivery.

[0042] In some embodiments, the storage unit 106 not only stores map information, driving route history information, and vehicle carbon emission factor information, but also order history information. The order history information may include, for example, order time, pickup point, and delivery point, but the present invention is not limited thereto. By storing the driving route history information and order history information in the storage unit 106, the accuracy and efficiency of route planning in the logistics management system can be continuously optimized. For example, the route optimization calculation module 102 can know the order status of a specific location at a specific time based on the order history information stored in the storage unit 106. For example, because restaurants near schools and companies often receive a large number of orders during mealtimes, the route optimization calculation module 102 can adjust the waiting location of logistics companies (candidate vehicles) based on the order history information. For example, by providing location information to logistics companies (candidate vehicles) via a wireless transmission module and notifying the logistics companies that they can wait at a restaurant near a school or company, logistics delivery can be more efficient. In another embodiment, after the logistics companies (candidate vehicles) move to a waiting position based on the location information provided by the route optimization calculation module 102 and wait with their engines turned off, the route optimization calculation module 102 can provide reward (e.g., a bonus, but the present invention is not limited to this) feedback to these waiting logistics companies to encourage them to participate in carbon reduction measures.

[0043] FIG. 2 is a flowchart of a management method for a carbon emission management system according to an embodiment of the present invention. As can be seen from the above embodiment, the management method for a carbon emission management system can include the following steps: First, a driving route from a first destination to a second destination is calculated based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time (step S202). When the carbon emission management system is applied to logistics management (e.g., a logistics management system for food delivery, express delivery, etc.), for example, a driving route for a vehicle (e.g., a motorcycle, a car, or a vehicle with a different power type, but the present invention is not limited thereto) from a pickup point (first destination) specified by an order command to a delivery point (second destination) can be calculated based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time. Next, based on the driving route, the carbon emission factors and locations of multiple candidate vehicles, the total carbon emissions from each candidate vehicle from its location to the end of the driving route are calculated (step S204). Then, based on the total carbon emissions of each candidate vehicle, one vehicle is selected from the multiple candidate vehicles to drive the driving route (step S206). When a carbon emission management system is applied to logistics management, the vehicle in charge is used to transport cargo.

[0044] FIG. 3 is a flowchart of a management method of a carbon emission management system according to an embodiment of the present invention. The difference between this embodiment and the embodiment of FIG. 2 is that, before step S202, this embodiment can adjust the waiting position of the candidate vehicles based on order history information (step S302), thereby improving the efficiency of logistics delivery. After step S202, a destination addition command is received, and the driving route is updated based on the third destination added by the destination addition command (step S304). When the carbon emission management system is applied to logistics management, the destination addition command may be an order integration command. In step S306, the total carbon emissions of each candidate vehicle from its departure from its location to the completion of the updated driving route are calculated based on the updated driving route, the carbon emission coefficients of the multiple candidate vehicles, and their locations. In step S308, one vehicle can be selected from the multiple candidate vehicles to drive the driving route based on the total carbon emissions and remaining driving distance of each candidate vehicle. If the remaining driving distance of a candidate vehicle is shorter than the distance required to drive the entire driving route, the candidate vehicle is excluded from selection.

[0045] As described above, the route optimization calculation module of an embodiment of the present invention can calculate a driving route from a first destination to a second destination based on at least one of the vehicle type, the shortest driving distance, and the shortest driving time. The carbon emission calculation module can calculate the total carbon emissions from each candidate vehicle from its location to the end of the driving route based on the driving route and the carbon emission factors and locations of the multiple candidate vehicles, and select one vehicle from the multiple candidate vehicles to drive the driving route based on the total carbon emissions of each candidate vehicle. In this way, calculating the total carbon emissions of the candidate vehicles based on the driving route and the carbon emission factors and locations of the candidate vehicles and selecting a vehicle based on the total carbon emissions of the candidate vehicles can provide highly efficient, low-carbon options and contribute to achieving carbon neutrality goals.

[0046] Although the present invention has been disclosed by the above embodiments, these are not intended to limit the present invention, and those skilled in the art may make slight changes or modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention is defined by the following claims. [Industrial Applicability]

[0047] The carbon emission management system and the management method of the present invention can be used in a logistics management system and a management method thereof. [Explanation of symbols]

[0048] 100 Carbon Emissions Management System 102 Route optimization calculation module 104 Carbon Emissions Calculation Module 106 Storage Unit S202~S206, S302~S308 Carbon Emissions Management System Management Method Steps

Claims

1. a route optimization calculation module that calculates a driving route for traveling from a first destination to a second destination based on at least one of a vehicle type, a shortest driving distance, and a shortest driving time; a carbon emission calculation module that calculates a total carbon emission amount from when each candidate vehicle departs from its position to when it finishes traveling along the travel route based on the travel route and the carbon emission coefficients and positions of the plurality of candidate vehicles, and selects one vehicle from the candidate vehicles to travel along the travel route based on the total carbon emission amount of each candidate vehicle; Carbon emissions management systems, including:

2. 2. The carbon emission management system of claim 1, wherein the route optimization calculation module further updates the driving route based on a third destination added by a destination addition command, and the carbon emission calculation module further calculates the total carbon emission amount from the time each candidate vehicle departs from its position to the time it finishes driving the updated driving route based on the carbon emission coefficient and position of the candidate vehicle.

3. 3. The carbon emission management system according to claim 2, wherein the carbon emission management system is a logistics management system, the route optimization calculation module calculates the driving route based on an order command, and the route optimization calculation module further adjusts the waiting position of the candidate vehicle based on order history information.

4. The carbon emission management system according to claim 3 , wherein the destination addition command is an order integration command.

5. The carbon emission management system according to claim 3 , further comprising a storage unit for storing the order history information, map information, driving route history information, and vehicle carbon emission coefficient information.

6. The carbon emission management system according to claim 1 , wherein the carbon emission calculation module further selects the vehicle to be assigned based on a driving distance of the candidate vehicle.

7. calculating a driving route from the first destination to the second destination based on at least one of a vehicle type, a shortest driving distance, and a shortest driving time; Calculating a total carbon emission amount from the time each candidate vehicle departs from its position to the time each candidate vehicle completes traveling the travel route based on the travel route, the carbon emission factors of the plurality of candidate vehicles, and their positions; selecting one vehicle to travel the travel route from among the candidate vehicles based on total carbon emissions of each candidate vehicle; a method for managing a carbon emissions management system, including:

8. updating the travel route based on a third destination added by the destination addition command; Calculating a total carbon emission amount from the time each candidate vehicle departs from its location to the time each candidate vehicle completes the updated driving route based on the carbon emission factor and the location of the candidate vehicle; The method for managing a carbon emission management system according to claim 7, comprising:

9. The carbon emission management system is a logistics management system, and the management method of the carbon emission management system comprises: Calculating the travel route based on an order command; adjusting the waiting positions of the candidate vehicles based on order history information; The method for managing a carbon emission management system according to claim 8, comprising:

10. The carbon emission management system management method according to claim 8 , wherein the destination addition command is an order integration command.

11. The carbon emission management system management method according to claim 7 , further comprising selecting the vehicle in charge based on a driving distance of the candidate vehicle.

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