Carbon emission management method for multi-marshalling rubber wheel self-guiding vehicle

Abstract

The invention discloses a carbon emission management method for a multi-marshalling rubber wheel self-guiding vehicle, and the method comprises the steps: obtaining marshalling transportation information data of the multi-marshalling rubber wheel self-guiding vehicle, and determining time distribution characteristic parameters; and obtaining time distribution characteristic data of the multi-marshalling rubber wheel self-guiding vehicle according to the obtained marshalling transportation information data and the corresponding time distribution characteristic parameters. And calculating the energy consumption of the multi-marshalling rubber wheel self-guiding vehicle based on the time distribution characteristic data. And calculating the carbon emission of the multi-marshalling rubber wheel self-guiding vehicle based on the energy consumption of the multi-marshalling rubber wheel self-guiding vehicle. And managing the carbon emission of the multi-marshalling rubber wheel self-guiding vehicle according to the calculated carbon emission of the multi-marshalling rubber wheel self-guiding vehicle.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission accounting for rail transportation, and in particular to a carbon emission management method for a multi-unit rubber-wheeled self-guided vehicle. Background Art

[0002] For the study of carbon emissions in urban transportation systems, whether it is carbon emission accounting, carbon emission forecasting, or green and low-carbon transportation construction, they are all based on carbon emission estimation. The urban transportation system is essentially a transportation process, and its means of transport involve roads, rails, water transport, and air transport, and its energy composition covers fuel, electricity, natural gas, and new energy. Combined with the goal, carbon emissions in the transportation system, that is, the carbon emissions generated by the energy activities of various types of transportation, have long become the focus of urban carbon emissions research.

[0003] At present, carbon emissions from passenger cars account for the majority of carbon emissions from urban transportation systems. In order to effectively reduce urban carbon emissions and promote the establishment of a green and low-carbon urban transportation system, it is necessary to control the source demand for passenger cars. Therefore, new modes of transportation such as multi-unit rubber-wheeled self-guided vehicles are introduced to reduce the proportion of passenger cars in the transportation system through measures such as economy and traffic space control, so as to improve the hierarchical structure of the urban transportation system and reduce the carbon emissions of the urban transportation system.

[0004] At present, when studying the carbon emission accounting methods for multi-unit rubber-wheeled self-guided vehicles, the energy type and mileage of the transportation vehicle are generally combined. However, the research does not involve the temporal distribution characteristics of carbon emissions during peak and valley time periods between different stations on the operating lines of multi-unit rubber-wheeled self-guided vehicles, which is not conducive to the subsequent effective statistics of the total carbon emissions of this type of vehicles and in-depth research on carbon emission efficiency by subsequent urban managers. Summary of the invention

[0005] A brief summary of one or more aspects is given below to provide a basic understanding of these aspects. This summary is not an exhaustive overview of all conceived aspects, and is neither intended to identify the key or critical elements of all aspects nor to define the scope of any or all aspects. Its only purpose is to give some concepts of one or more aspects in a simplified form as a prelude to a more detailed description that will be given later.

[0006] The purpose of the present invention is to solve the above-mentioned problems and provide a carbon emission management method for multi-unit rubber-wheeled self-guided vehicles. The method takes into account the transportation intensity (energy consumption per 100 person-kilometers) in each peak and valley time period between different stations on different operating routes, constructs a carbon emission calculation method based on time distribution characteristics, and realizes reliable calculation of the carbon emissions of multi-unit rubber-wheeled self-guided vehicles, thereby managing the carbon emissions of multi-unit rubber-wheeled self-guided vehicles and improving the construction of urban green and low-carbon transportation systems.

[0007] The technical solution of the present invention is:

[0008] The present invention provides a carbon emission management method for a multi-unit rubber-tyred self-guided vehicle, comprising the following steps:

[0009] Obtaining the transport information data of multiple rubber-tyred self-guided vehicles and determining the time distribution characteristic parameters;

[0010] The time distribution characteristic data of the multi-group rubber-tyred self-guided vehicle is obtained according to the obtained group transportation information data and the corresponding time distribution characteristic parameters;

[0011] Calculate the energy consumption of multi-unit rubber-tyred self-guided vehicles based on time distribution characteristic data;

[0012] Calculate the carbon emissions of multi-unit rubber-tyred self-guided vehicles based on their energy consumption;

[0013] The carbon emissions of multi-unit rubber-tyred self-guided vehicles are managed based on the calculated carbon emissions of the multi-unit rubber-tyred self-guided vehicles.

[0014] According to one embodiment of the carbon emission management method for multiple rubber-wheeled self-guided vehicles of the present invention, the carbon emission management method for multiple rubber-wheeled self-guided vehicles sets multiple operating routes to obtain the marshaling transportation information data of the multiple rubber-wheeled self-guided vehicles; wherein the marshaling transportation information data includes the number of operating routes corresponding to the vehicle model, vehicle marshaling information, vehicle carrying information and vehicle operating cycle information.

[0015] According to an embodiment of the carbon emission management method for multiple rubber-tyred self-guided vehicles of the present invention, the time distribution characteristic parameters include operating routes, peak and valley time periods, and import and export passenger flow in different peak and valley time periods on different operating routes. After the carbon emission management method for multiple rubber-tyred self-guided vehicles obtains the marshaling transportation information data of multiple operating routes, the marshaling transportation information data is sorted according to the determined time distribution characteristic parameters to obtain the time distribution characteristic data of each operating route; wherein the peak and valley time periods include peak period, trough period and stable period.

[0016] According to an embodiment of the carbon emission management method for multiple rubber-wheeled self-guided vehicles of the present invention, after obtaining the marshaling transportation information data of each operating route, the carbon emission management method for multiple rubber-wheeled self-guided vehicles divides the operating route into sections according to the stations on the operating route, and then counts the import and export passenger flow in each peak and valley time period of each operating route in different sections based on the marshaling transportation information data of the corresponding operating route, thereby obtaining the time distribution characteristic data of the multiple rubber-wheeled self-guided vehicles on the corresponding operating route.

[0017] According to an embodiment of the carbon emission management method for multi-unit rubber-tyred self-guided vehicles of the present invention, after obtaining the import and export passenger flow in different peak and valley time periods under each segment, the carbon emission management method for multi-unit rubber-tyred self-guided vehicles uses the transportation intensity of the multi-unit rubber-tyred self-guided vehicles to calculate the one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods under each segment, and then uses the calculated one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods under each segment to calculate the daily energy consumption of the multi-unit rubber-tyred self-guided vehicles in each segment; wherein the transportation intensity is the energy consumption per 100 person-kilometers of the multi-unit rubber-tyred self-guided vehicles.

[0018] According to an embodiment of the carbon emission management method for a multi-train rubber-wheeled self-guided vehicle of the present invention, the carbon emission management method for a multi-train rubber-wheeled self-guided vehicle calculates the energy consumption per kilometer corresponding to the inlet and outlet passenger flow in different peak and valley time periods under each segment by the following formula:

[0019]

[0020] Among them, A n Indicates the segments of the operating route,

[0021] T 1 , T 2 , T 3 They represent the peak period, trough period and stable period respectively.

[0022] P represents the transport intensity of multiple rubber-tyred self-guided vehicles.

[0023] Indicates the import and export passenger flow during each peak and valley time period.

[0024] According to an embodiment of the carbon emission management method for multi-unit rubber-wheeled self-guided vehicles of the present invention, the carbon emission management method for multi-unit rubber-wheeled self-guided vehicles calculates the one-kilometer energy consumption corresponding to the entrance and exit passenger flow of each section under different operating routes, and then uses the calculated one-kilometer energy consumption corresponding to the entrance and exit passenger flow of each section to calculate the daily energy consumption of the corresponding operating route, and then uses the calculated daily energy consumption of each operating route to calculate the total daily energy consumption of the multi-unit rubber-wheeled self-guided vehicles.

[0025] According to an embodiment of the carbon emission management method for a multi-unit rubber-tyred self-guided vehicle of the present invention, the carbon emission management method for a multi-unit rubber-tyred self-guided vehicle calculates the carbon emission of each operating route K by the following formula: k Daily energy consumption

[0026] ;

[0027] in,

[0028] N represents the operating route K k The station site,

[0029] Indicates operating route K k The number of segments,

[0030] Indicates operating route K k A n Daily energy consumption of the segment,

[0031] Indicates A n The distance of the segment,

[0032] Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

[0033] According to an embodiment of the carbon emission management method for a multi-unit rubber-tyred self-guided vehicle of the present invention, the carbon emission management method for a multi-unit rubber-tyred self-guided vehicle calculates and obtains the carbon emission of each operating route K k Daily energy consumption Then, the calculated operating routes K k Daily energy consumption To calculate the total daily energy consumption E of a multi-unit rubber-tyred self-guided vehicle K , the calculation formula is as follows:

[0034] ;

[0035] in,

[0036] Indicates operating route K k Daily energy consumption,

[0037] N represents the operating route K k The station site,

[0038] Indicates operating route K k The number of segments,

[0039] Indicates operating route K k A n Daily energy consumption of the segment,

[0040] Indicates A n The distance of the segment,

[0041] Indicates A nSegment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

[0042] According to an embodiment of the carbon emission management method for multi-unit rubber-wheeled self-guided vehicles of the present invention, the carbon emission management method for multi-unit rubber-wheeled self-guided vehicles calculates the daily total energy consumption of the multi-unit rubber-wheeled self-guided vehicles, calculates the standard coal carbon emissions based on the carbon emission conversion factor, and then calculates the carbon emissions of the multi-unit rubber-wheeled self-guided vehicles by combining the daily carbon emissions of the multi-unit rubber-wheeled self-guided vehicles and the standard coal carbon emissions.

[0043] According to an embodiment of the carbon emission management method for a multi-train rubber-tyred self-guided vehicle of the present invention, the carbon emission management method for a multi-train rubber-tyred self-guided vehicle calculates the standard coal carbon emission P by the following formula:

[0044] P=c*H*(1-η)

[0045] Where c represents the carbon emission conversion factor, H represents the thermal power generation, and η represents the demand loss rate of multi-unit rubber-tyred self-guided vehicles.

[0046] According to an embodiment of the carbon emission management method for a multi-train rubber-tyred self-guided vehicle of the present invention, after the carbon emission management method for a multi-train rubber-tyred self-guided vehicle calculates the coal emission P, combined with the daily carbon emission E of the multi-train rubber-tyred self-guided vehicle K The carbon emissions of multi-unit rubber-tyred self-guided vehicles E are calculated by using the carbon emissions of standard coal P zong , the formula is as follows:

[0047]

[0048] ;in,

[0049] K represents the number of operating routes,

[0050] Indicates operating route K k Daily energy consumption,

[0051] N represents the operating route K k The station site,

[0052] Indicates operating route K k The number of segments,

[0053] Indicates operating route K k A n Daily energy consumption of the segment,

[0054] Indicates A n The distance of the segment,

[0055] Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

[0056] The present invention also discloses a computer-readable medium storing computer program codes, wherein the computer program codes implement any of the above methods when executed by a processor.

[0057] Compared with the prior art, the present invention has the following beneficial effects: the present invention aims at the management of carbon emissions of multi-unit rubber-wheeled self-guided vehicles, considers the time distribution characteristics of each peak and valley time period between different stations on different operating routes, and calculates the energy consumption of multi-unit rubber-wheeled self-guided vehicles based on the transportation intensity of carbon emissions of multi-unit rubber-wheeled self-guided vehicles. Then, combined with the loss of the urban power grid system in the process of power transmission, the carbon emission conversion factor per kilowatt-hour of electricity converted by thermal power generation is used to calculate the carbon emissions of multi-unit rubber-wheeled self-guided vehicles throughout the year. Through the present invention, not only the quantitative calculation of the carbon emissions of multi-unit rubber-wheeled self-guided vehicles is realized, but also the time distribution characteristics and change process of the carbon emissions of multi-unit rubber-wheeled self-guided vehicles can be mastered according to the data in the calculation process, which is conducive to the subsequent effective statistics of carbon emissions of multi-unit rubber-wheeled self-guided vehicles of this type and in-depth research on carbon emission efficiency, and improves the construction of urban green and low-carbon transportation systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The above features and advantages of the present invention can be better understood after reading the detailed description of the embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily drawn to scale, and components with similar related properties or features may have the same or similar reference numerals.

[0059] Figure 1 The flowchart shows an embodiment of the carbon emission management method of a multi-unit rubber-tyred self-guided vehicle of the present invention. DETAILED DESCRIPTION

[0060] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. Note that the aspects described below in conjunction with the accompanying drawings and specific embodiments are only exemplary and should not be construed as limiting the scope of protection of the present invention in any way.

[0061] Disclosed herein is an embodiment of a method for managing carbon emissions of a multi-unit rubber-tyred self-guided vehicle. Figure 1 is a flow chart showing an embodiment of a method for managing carbon emissions of a multi-unit rubber-tyred self-guided vehicle according to the present invention. Figure 1 , the following is a detailed description of each step of the carbon emission management method for multi-unit rubber-tyred self-guided vehicles.

[0062] Step S1: Acquire the transport information data of multiple rubber-tyred self-guided vehicles and determine the time distribution characteristic parameters.

[0063] In this embodiment, in order to accurately calculate the carbon emissions of a multi-unit rubber-wheeled self-guided vehicle of a corresponding vehicle model, multiple operating routes are set for the multi-unit rubber-wheeled self-guided vehicle of the vehicle model, and more marshaling transportation information data are obtained through these set operating routes, and then the accurate carbon emissions of the multi-unit rubber-wheeled self-guided vehicle are calculated. Among them, the information data includes the number of operating routes of the corresponding vehicle model, vehicle marshaling information, vehicle carrying information, and vehicle operating cycle information. These marshaling transportation information data are integrated and calculated to obtain the carbon emissions of the multi-unit rubber-wheeled self-guided vehicle of the corresponding vehicle model.

[0064] Step S2: obtaining time distribution characteristic data of multiple rubber-tyred self-guided vehicles according to the acquired marshaling transportation information data and corresponding time distribution characteristic parameters.

[0065] In this embodiment, after the marshaling transportation information data of multiple operating routes are obtained through the above step S1, these marshaling transportation information data are integrated in combination with the determined time distribution characteristic parameters to obtain the time distribution characteristic data.

[0066] Specifically, in this embodiment, the time distribution characteristic parameters include the operation routes of the multi-group rubber-tyred self-guided vehicles, the peak and valley time periods, and the inlet and outlet passenger flows in each peak and valley time period on different operation routes. According to these determined time distribution characteristic parameters, the corresponding data are extracted from the acquired operation line number, vehicle formation information, vehicle carrying information, and vehicle operation cycle information, thereby obtaining the time distribution characteristic data.

[0067] The peak-valley time period includes a peak period, a trough period, and a stable period. When extracting the time distribution characteristic data, it is also necessary to segment the operating routes according to the stations on each operating route, and then count the inlet and outlet passenger flows in each peak-valley time period under different segments of each operating route, so as to obtain the time distribution characteristic data of the multi-group rubber-wheeled self-guided vehicle on the corresponding operating route. The following takes the operating route k as an example to explain this embodiment in detail.

[0068] In this implementation, it is assumed that a multi-unit rubber-wheeled self-guided vehicle has K operating routes. 1 , if it contains N stations, it is divided into Segments, each segment is marked as A 1 , A 2 , …, A n , For each segment, the distance between the corresponding two sites is recorded as S1 , S 2 ,…,S n ,

[0069] When the operating route K 1 After the segmentation is completed, according to the operating route K 1 The corresponding marshaling transport information data is used to count the different segments during the peak period T 1 , trough period T 2 and stable period T 3 For example, for segment A 1 , marking the peak period T 1 Multi-unit rubber-wheeled self-guided vehicle in A 1 The import and export flow of the section is Peak period T 1 In A 2 The import and export flow of the section is Peak period T 1 In A 3 The import and export flow of the section is

[0070] Step S3: Calculate the energy consumption of the multi-unit rubber-tyred self-guided vehicle based on the time distribution characteristic data.

[0071] In this embodiment, after obtaining the import and export passenger flow in different peak and valley time periods under each segment through the above step S2, the one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods under each segment is calculated in combination with the transportation intensity of the multi-unit rubber-wheeled self-guided vehicle (energy consumption per 100 person-kilometer, that is, the energy consumption required to transport 100 people per kilometer). Then, the one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods under each segment is used to calculate the daily energy consumption of the multi-unit rubber-wheeled self-guided vehicle in each segment. Among them, the one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods under each segment is The calculation formula is as follows:

[0072]

[0073] Among them, A n Represents each segment of the operating route, T 1 、T 2 、T 3 They represent the peak period, trough period and stable period respectively, P represents the transport intensity of multi-unit rubber-tyred self-guided vehicles, Indicates the import and export passenger flow during each peak and valley time period.

[0074] Operating route K 1 For example, assuming that the transport intensity of the multi-unit rubber-tyred self-guided vehicle is P, the operating route K1 Middle A 1 The peak period T 1 Import and export traffic The corresponding energy consumption per kilometer By analogy, the energy consumption per kilometer corresponding to the inlet and outlet passenger flow in each segment at different peak and valley time periods under different operating routes can be obtained. Then, the daily energy consumption of each operating route can be calculated based on the energy consumption per kilometer corresponding to the inlet and outlet passenger flow in each segment at different peak and valley time periods under different operating routes. k Daily energy consumption

[0075]

[0076] Where N represents the operating route K k The station site, Indicates operating route K k The number of segments, Indicates operating route K k A n Daily energy consumption of the segment, Indicates A n The distance of the segment, Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

[0077] Operating route K 1 A 1 For example, if the distance is S 1 , then its daily energy consumption Rearranging this formula, we can get A 1 Daily energy consumption By analogy, the operating route K is calculated 1 Daily energy consumption in each segment Then based on the operation route K 1 The daily energy consumption of each segment is obtained by the operating route K 1 Daily energy consumption

[0078]

[0079] By using this formula, the daily energy consumption of each operating route can be calculated. If the multi-unit rubber-wheeled self-guided vehicle has K operating routes, after calculating the daily energy consumption of each operating route, the daily total energy consumption E of the multi-unit rubber-wheeled self-guided vehicle is calculated using the calculated daily energy consumption of each operating route. K, the formula is as follows:

[0080]

[0081] in, Indicates operating route K k The daily energy consumption of N represents the operating route K. k The station site, Indicates operating route K k The number of segments, Indicates operating route K k A n Daily energy consumption of the segment, Indicates A n The distance of the segment, Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

[0082] Step S4: Calculate the carbon emissions of the multi-unit rubber-tyred self-guided vehicle based on the energy consumption of the multi-unit rubber-tyred self-guided vehicle.

[0083] In this embodiment, after the daily total energy consumption of the multi-unit rubber-wheeled self-guided vehicle is calculated through the above step S5, the daily carbon emissions of the multi-unit rubber-wheeled self-guided vehicle are calculated based on the carbon emission conversion factor, and then the carbon emissions of the multi-unit rubber-wheeled self-guided vehicle are calculated based on the calculated daily carbon emissions of the multi-unit rubber-wheeled self-guided vehicle.

[0084] Specifically, in this embodiment, when calculating the carbon emissions of multiple rubber-wheeled self-guided vehicles, it is necessary to consider the loss of the urban power grid system during the power transmission process, and use the carbon emission conversion factor c per kilowatt-hour of electricity converted by thermal power generation to convert electricity into standard coal carbon emissions P, and then use the standard coal carbon emissions to calculate the carbon emissions of multiple rubber-wheeled self-guided vehicles. The calculation formula of standard coal carbon emissions P is as follows:

[0085] P=c*H*(1-η)

[0086] Where c represents the carbon emission conversion factor, H represents the thermal power generation, and η represents the demand loss rate of multi-unit rubber-tyred self-guided vehicles.

[0087] After calculating the carbon emission of standard coal P through the above formula, the number of days in a year is defined as D = 365. Taking into account the power transmission loss, the carbon emission of the multi-unit rubber-wheeled self-guided vehicle of this model is E zong for:

[0088]

[0089] Step S5: managing the carbon emissions of the multi-unit rubber-tyred self-guided vehicle according to the calculated carbon emissions of the multi-unit rubber-tyred self-guided vehicle.

[0090] In this embodiment, after the carbon emissions of the multi-unit rubber-wheeled self-guided vehicle are calculated through the above step S4, the carbon emissions of the multi-unit rubber-wheeled self-guided vehicle of this type are managed according to the calculated carbon emissions, thereby improving the construction of the city's green and low-carbon transportation system.

[0091] The present specification also discloses a computer-readable medium storing a computer program code, wherein the computer program code implements the method described above when executed by a processor.

[0092] The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein, but should be granted the widest scope consistent with the principles and novel features disclosed herein.

[0093] Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or a combination of the two. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. The technician may implement the described functionality in different ways for each specific application, but such implementation decisions should not be interpreted as resulting in a departure from the scope of the present invention.

[0094] The various illustrative logic blocks, modules, and circuits described in conjunction with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in cooperation with a DSP core, or any other such configuration.

[0095] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software module may reside in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read and write information from / to the storage medium. In an alternative, a storage medium may be integrated into a processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and the storage medium may reside in a user terminal as discrete components.

[0096] In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented as a computer program product in software, each function may be stored on or transmitted by a computer-readable medium as one or more instructions or codes. Computer-readable media include both computer storage media and communication media, including any medium that facilitates the transfer of a computer program from one place to another. Storage media may be any available medium that can be accessed by a computer. As an example and not limitation, such a computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer. Any connection is also properly referred to as a computer-readable medium. For example, if the software is transmitted from a website, a server, or other remote source using a coaxial cable, a fiber optic cable, a twisted pair, a digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included in the definition of the medium. Disk and disc as used herein include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, wherein disk often reproduces data magnetically, while disc reproduces data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

Claims

1. A method for managing carbon emissions of a multi-unit rubber-tyred self-guided vehicle. It is characterized in that The following steps are involved: Obtaining the transport information data of multiple rubber-tyred self-guided vehicles and determining the time distribution characteristic parameters; The time distribution characteristic data of the multi-group rubber-tyred self-guided vehicle is obtained according to the obtained group transportation information data and the corresponding time distribution characteristic parameters; Calculate the energy consumption of multi-unit rubber-tyred self-guided vehicles based on time distribution characteristic data; Calculate the carbon emissions of multi-unit rubber-tyred self-guided vehicles based on their energy consumption; The carbon emissions of multi-unit rubber-tyred self-guided vehicles are managed based on the calculated carbon emissions of the multi-unit rubber-tyred self-guided vehicles.

2. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 1, It is characterized in that The carbon emission management method for multiple rubber-wheeled self-guided vehicles sets multiple operating routes to obtain the marshaling transportation information data of the multiple rubber-wheeled self-guided vehicles; wherein the marshaling transportation information data includes the number of operating routes corresponding to the vehicle model, vehicle marshaling information, vehicle carrying information and vehicle operating cycle information.

3. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 2, It is characterized in that The time distribution characteristic parameters include operating routes, peak and valley time periods, and import and export passenger flow in different peak and valley time periods on different operating routes. After the carbon emission management method for multi-unit rubber-wheeled self-guided vehicles obtains the marshaling transportation information data of multiple operating routes, the marshaling transportation information data is sorted according to the determined time distribution characteristic parameters to obtain the time distribution characteristic data of each operating route; wherein the peak and valley time periods include peak period, trough period and stable period.

4. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 3, It is characterized in that After obtaining the marshaling transportation information data of each operating route, the carbon emission management method for multiple rubber-wheeled self-guided vehicles divides the operating route into sections according to the stations on the operating route, and then counts the import and export passenger flow in each peak and valley time period of each operating route in different sections according to the marshaling transportation information data of the corresponding operating route, thereby obtaining the time distribution characteristic data of the multiple rubber-wheeled self-guided vehicles on the corresponding operating route.

5. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 4, It is characterized in that The carbon emission management method for multi-unit rubber-wheeled self-guided vehicles obtains the import and export passenger flow in different peak and valley time periods in each segment, and then uses the transportation intensity of the multi-unit rubber-wheeled self-guided vehicles to calculate the one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods in each segment, and then uses the calculated one-kilometer energy consumption corresponding to the import and export passenger flow in different peak and valley time periods in each segment to calculate the daily energy consumption of the multi-unit rubber-wheeled self-guided vehicles in each segment; wherein the transportation intensity is the energy consumption per hundred person-kilometers of the multi-unit rubber-wheeled self-guided vehicles.

6. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 5, It is characterized in that The carbon emission management method of the multi-unit rubber-wheeled self-guided vehicle is calculated by the following formula: ； Among them, A n Indicates the segments of the operating route, T 1 , T 2 , T 3 They represent the peak period, trough period and stable period respectively. P represents the transport intensity of multiple rubber-tyred self-guided vehicles. Indicates the import and export passenger flow during each peak and valley time period.

7. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 5, It is characterized in that The carbon emission management method for multi-unit rubber-wheeled self-guided vehicles calculates the one-kilometer energy consumption corresponding to the entrance and exit passenger flow of each section under different operating routes, and then uses the calculated one-kilometer energy consumption corresponding to the entrance and exit passenger flow of each section to calculate the daily energy consumption of the corresponding operating route, and then uses the calculated daily energy consumption of each operating route to calculate the total daily energy consumption of the multi-unit rubber-wheeled self-guided vehicles.

8. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 7, It is characterized in that The carbon emission management method of the multi-unit rubber-wheeled self-guided vehicle is calculated by the following formula K for each operating route k Daily energy consumption ； in, N represents the operating route K k The station site, Indicates operating route K k The number of segments, Indicates operating route K k A n Daily energy consumption of the segment, Indicates A n The distance of the segment, Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

9. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 8, It is characterized in that The carbon emission management method of multi-unit rubber-tyred self-guided vehicles calculates the carbon emission of each operating route K k Daily energy consumption Then, the calculated operating routes K k Daily energy consumption To calculate the total daily energy consumption E of a multi-unit rubber-tyred self-guided vehicle K , the calculation formula is as follows: ； in, Indicates operating route K k Daily energy consumption, N represents the operating route K k The station site, Indicates operating route K k The number of segments, Indicates operating route K k A n Daily energy consumption of the segment, Indicates A n The distance of the segment, Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

10. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 7, It is characterized in that The carbon emission management method for multi-unit rubber-wheeled self-guided vehicles calculates the daily total energy consumption of the multi-unit rubber-wheeled self-guided vehicles, calculates the carbon emissions of standard coal based on the carbon emission conversion factor, and then calculates the carbon emissions of the multi-unit rubber-wheeled self-guided vehicles by combining the daily carbon emissions of the multi-unit rubber-wheeled self-guided vehicles and the carbon emissions of standard coal.

11. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 10, It is characterized in that The carbon emission management method of the multi-unit rubber-tyred self-guided vehicle calculates the standard coal carbon emission P by the following formula: P=c*H*(1-η) Where c represents the carbon emission conversion factor, H represents the thermal power generation, and η represents the demand loss rate of multi-unit rubber-tyred self-guided vehicles.

12. The carbon emission management method for a multi-unit rubber-tyred self-guided vehicle according to claim 11, It is characterized in that Carbon emission management method for multi-unit rubber-tyred self-guided vehicles After calculating the coal carbon emissions P, combined with the daily carbon emissions E of multi-unit rubber-tyred self-guided vehicles K The carbon emissions of multi-unit rubber-tyred self-guided vehicles E are calculated by using the carbon emissions of standard coal P zong , the formula is as follows: ； in, K represents the number of operating routes, Indicates operating route K k Daily energy consumption, N represents the operating route K k The station site, Indicates operating route K k The number of segments, Indicates operating route K k A n Daily energy consumption of the segment, Indicates A n The distance of the segment, Indicates A n Segment T t The energy consumption per kilometer corresponding to the inlet and outlet traffic during the time period.

13. A computer readable medium storing computer program code, It is characterized in that The computer program code implements the method according to any one of claims 1 to 12 when executed by a processor.

Images