CN115511407A - Vehicle carbon emission amount measuring method, system, device, and storage medium - Google Patents
Vehicle carbon emission amount measuring method, system, device, and storage medium Download PDFInfo
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Abstract
The invention provides a vehicle carbon emission amount measuring method, a system, equipment and a storage medium, wherein the method comprises the following steps: collecting vehicle registration information and uploading the vehicle registration information to a block chain; collecting vehicle transportation data in the vehicle transportation process, and uploading the data to the block chain; calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data; uploading the carbon emissions of the vehicle to the blockchain. The invention more conveniently realizes the measurement of the carbon emission and ensures the uniqueness of the carbon emission calculation and storage based on the block chain.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a system, equipment and a storage medium for measuring the carbon emission quantity of a vehicle.
Background
Since the field of highway traffic is a large decentralized mobile source of emissions, there has been a lack of a widely recognized highway freight carbon emission metering methodology internationally. The carbon emission measurement in the existing traffic field usually depends on direct sampling of vehicle oil consumption, and part of data can be obtained in part of host computer factories, but public acquisition requires hardware cooperation, the cost for installing an oil consumption reading device on a nationwide operation truck is too high, and all the host computer factories are required to be fully matched, so that no economic scheme exists at present. In addition, another difficulty of the measurement of carbon emission in the transportation field is how to ensure the uniqueness of the data of the whole network, i.e. how to ensure that the carbon emission generated by the same transportation order is measured only once and cannot be calculated repeatedly.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the invention and therefore may include information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of the problems in the prior art, an object of the present invention is to provide a method, a system, a device and a storage medium for measuring carbon emissions of a vehicle, which can more conveniently measure the carbon emissions and ensure the uniqueness of the calculation and storage of the carbon emissions based on a block chain.
The embodiment of the invention provides a vehicle carbon emission quantity measuring method, which comprises the following steps:
collecting vehicle registration information and uploading the vehicle registration information to a block chain;
collecting vehicle transportation data in the vehicle transportation process, and uploading the vehicle transportation data to the block chain;
calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data;
uploading the carbon emissions of the vehicle to the blockchain.
In some embodiments, the vehicle registration information includes vehicle identification information, calibration carbon emissions data, and a rated payload;
the vehicle transportation data includes vehicle trajectory information and load capacity information.
In some embodiments, the collecting vehicle transportation data during vehicle transportation includes the following steps:
collecting vehicle transportation data of at least one trip;
and for each section of journey, uploading corresponding vehicle transportation data to the block chain, and taking vehicle identification information, journey starting time and journey ending time as main keys of the vehicle transportation data in the block chain.
In some embodiments, invoking a first computational intelligence contract of the blockchain to calculate carbon emissions of a vehicle based on the vehicle registration information and the vehicle transportation data comprises:
and for each section of travel, calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the section of travel based on the calibration carbon emission data, the rated load capacity, the vehicle track information and the load capacity information.
In some embodiments, the vehicle transportation data for at least one trip further includes transportation order information to which the trip belongs;
the method comprises the following steps of collecting vehicle transportation data in the vehicle transportation process and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data, and further comprises the following steps:
calling a second calculation intelligent contract of the block chain, and verifying the vehicle track information based on the transportation order information;
and if the verification is passed, setting the vehicle transportation data of the verified journey in the blockchain as queriable data, calling a first calculation intelligent contract of the blockchain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data.
In some embodiments, verifying the vehicle trajectory information based on the transportation order information comprises:
extracting order starting time information and an order starting position from the transportation order information, and judging whether the order starting time information and the order starting position are consistent with the vehicle track information or not;
and extracting order ending time information and an end position from the transportation order information, and judging whether the order ending time and the order end position are consistent with the vehicle track information.
In some embodiments, the vehicle transportation data further includes reported payload amounts reported by the weighing checkpoints;
verifying the vehicle trajectory information based on the transportation order information, further comprising the steps of:
and extracting the order load capacity from the transportation order information, and judging whether the order load capacity is consistent with the reported load capacity.
In some embodiments, the collecting vehicle transportation data during vehicle transportation and uploading to the block chain includes the following steps:
when the execution of a transportation order is started, a route corresponding to the transportation order is created, vehicle identification information, order identification information, load capacity information, order starting time and order starting position of the transportation order are collected and uploaded to the block chain;
in the order execution process of the vehicle, acquiring vehicle track information in real time, taking the vehicle track information as vehicle track information of a corresponding travel of the transportation order, and uploading the vehicle track information to the block chain;
and when the execution of the transportation order is finished, acquiring the order end time and the order end position of the transportation order, uploading the order end time and the order end position to the block chain, and recording the end of the order.
In some embodiments, the method further comprises the steps of:
receiving a carbon emission query request, wherein the carbon emission query request comprises vehicle identification information, query time period starting time and query time period ending time;
and inquiring the carbon emission corresponding to the vehicle identification information and the trip with the time falling into the inquiry time period according to the carbon emission inquiry request, and returning to the requester.
In some embodiments, after the vehicle transportation data during vehicle transportation is collected and uploaded to the block chain, the method further includes the following steps:
judging whether stored data which are repeated with the vehicle transportation data exist in the block chain or not according to vehicle identification information and vehicle track information corresponding to the vehicle transportation data;
if so, the vehicle transportation data is marked as unavailable data in the blockchain.
In some embodiments, before uploading the vehicle registration information to the blockchain, the step of encrypting the vehicle registration information is further included;
before uploading the vehicle transportation data to the block chain, the method further comprises the step of encrypting the vehicle transportation data.
The embodiment of the invention also provides a vehicle carbon emission measuring system, which is used for realizing the vehicle carbon emission measuring method, and the system comprises:
the first acquisition module is used for acquiring vehicle registration information and uploading the vehicle registration information to the block chain;
the second acquisition module is used for acquiring vehicle transportation data in the vehicle transportation process and uploading the vehicle transportation data to the block chain;
the carbon emission calculation module is used for calling a first calculation intelligent contract of the block chain and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data;
and the carbon emission uplink module is used for uploading the carbon emission of the vehicle to the block chain.
The embodiment of the invention also provides a vehicle carbon emission measuring device, which comprises:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the vehicle carbon emission amount measuring method via execution of the executable instructions.
The embodiment of the invention also provides a computer readable storage medium for storing a program, and the program realizes the steps of the vehicle carbon emission measuring method when being executed by a processor.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
The vehicle carbon emission amount measuring method, system, device and storage medium of the invention have the following beneficial effects:
by adopting the invention, after the vehicle registration information is collected, the vehicle registration information is uploaded to the block chain as the basic information of the vehicle for storage, and in the vehicle transportation process, the vehicle transportation data is collected and then uploaded to the block chain for storage, so that the uniqueness of the vehicle transportation data in the block chain is ensured, and after the intelligent contract service in the block chain is invoked to automatically calculate the carbon emission of the vehicle, the carbon emission of the vehicle is uploaded to the block chain, thereby ensuring that the vehicle transportation data is only measured once. Therefore, on one hand, the carbon emission of the vehicle can be calculated through the vehicle registration information and the vehicle transportation data without acquiring the vehicle oil consumption data, on the other hand, the vehicle transportation data are stored and managed based on the block chain technology, the uniqueness of the data in the whole network is ensured, the carbon emission of the vehicle is automatically calculated based on the intelligent contract service of the block chain, the carbon emission generated in the same stroke is measured only once, repeated calculation is not needed, and the common identification in the whole network is realized. .
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments thereof, with reference to the following drawings.
FIG. 1 is a flowchart of a method of measuring a carbon emission amount of a vehicle according to an embodiment of the present invention;
FIG. 2 is a flow chart of collecting vehicle transportation data for each trip according to one embodiment of the present invention;
FIG. 3 is a flow chart of verifying vehicle trajectory information in accordance with an embodiment of the present invention;
FIG. 4 is a schematic illustration of a travel route according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a vehicle carbon emission metering system according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a vehicle carbon emission measuring apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all steps. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
As shown in fig. 1, an embodiment of the present invention provides a method for measuring a carbon emission amount of a vehicle, including the steps of:
s100: collecting vehicle registration information and uploading the vehicle registration information to a block chain; in this embodiment, the vehicle registration information includes vehicle identification information, calibration carbon emission data, and a rated load capacity, where the vehicle identification information includes, for example, a license plate number of a vehicle, a license plate color, and/or other information that can distinguish the vehicle from other vehicles, and the following description takes the example where the vehicle identification information includes a license plate number of a vehicle and a license plate color;
the calibration carbon emission data comprises carbon emission C per kilometer when the vehicle is in idle state 0 And carbon emission per kilometer at full load C F Information that the nominal load capacity is the nominal load capacity t when the vehicle is fully loaded F ；
In this embodiment, the vehicle registration information may be collected during vehicle registration, when a vehicle owner registers an account number on a vehicle management platform (such as a freight transportation platform), vehicle identification information needs to be provided, in addition, the brand, model, axle number, age, and the like of a vehicle are also provided, and according to the information, the vehicle management platform may obtain calibrated carbon emission data and rated load capacity of the vehicle according to calibrated carbon emission data and rated load capacity corresponding to preset different brands, models, axle numbers, and ages;
s200: collecting vehicle transportation data in the vehicle transportation process, and uploading the data to the block chain;
in this embodiment, the vehicle transportation data includes vehicle trajectory information and load information, the vehicle trajectory information includes a trajectory formed by positioning information of the vehicle at a plurality of time points during the driving process, and the load information refers to the weight of the cargo carried by the vehicle;
s300: calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data; the first intelligent contract for calculation is configured to automatically calculate by adopting a preset formula and parameters required by the vehicle registration information and the vehicle transportation data to obtain a calculation result of carbon emission;
in this embodiment, for each segment of the trip, a first calculation intelligent contract of the block chain is invoked, and the carbon emission of the segment of the trip is calculated based on the nominal carbon emission data, the nominal load capacity, the vehicle trajectory information and the load capacity information, and the specific manner of calculating the carbon emission will be described in detail below with reference to fig. 4;
s400: uploading carbon emissions of the vehicle to the blockchain. Further, after the carbon emission data is uploaded to the block chain, the carbon emission data can be inquired by the public or designated users. In this embodiment, the blockchain may be a federation chain or a public chain of carbon emission verification authorities, but the invention is not limited thereto.
In the embodiment of the invention, after the vehicle registration information is acquired in the step S100, the vehicle registration information is uploaded to the block chain as the basic information of the vehicle for storage, and in the vehicle transportation process, the vehicle transportation data is acquired in the step S200 and then uploaded to the block chain for storage, so that the uniqueness of the vehicle transportation data in the block chain is ensured, and after the intelligent contract service in the block chain is called in the step S300 to automatically calculate the carbon emission of the vehicle, the carbon emission of the vehicle is uploaded to the block chain in the step S400. A block chain is a chain of blocks one after another. Each block holds certain information, which are linked in a chain according to a respective generated time sequence. The blockchain has two major core features: the first is that data is difficult to tamper with, and the second is decentralized. Based on the two characteristics, the information recorded by the block chain is more real and reliable. Therefore, the invention ensures that the vehicle transportation data is metered only once by adopting the block chain technology.
Therefore, on one hand, the carbon emission of the vehicle can be calculated through the vehicle registration information and the vehicle transportation data without acquiring the vehicle oil consumption data, on the other hand, the vehicle transportation data are stored and managed based on the block chain technology, the uniqueness of the data in the whole network is ensured, the carbon emission of the vehicle is automatically calculated based on the intelligent contract service of the block chain, the carbon emission generated in the same stroke is measured only once, repeated calculation is not needed, and the common identification in the whole network is realized. The vehicle carbon emission measurement method can be deployed on a vehicle management platform (such as a freight platform) to manage the transportation orders of the vehicles, and can be communicated with the vehicles to obtain the track information obtained by positioning the vehicles in real time. Alternatively, the vehicle carbon emission measurement method may also be applied to multiple devices or multiple platforms, for example, one platform collects and uploads vehicle registration information, and another platform collects and uploads vehicle transportation data.
During the running process of the vehicle, the vehicle has multiple strokes, for example, the vehicle is firstly loaded with goods from the position A and then transported to the position B for unloading, then the vehicle is unloaded from the position B to the position C for loading again, and then the vehicle is unloaded to the position D, and the three strokes of A to B, B to C and C to D are included. Because the corresponding load capacity of each section of travel is different, and the travel track is also different, the carbon emission of each section of travel needs to be calculated respectively, and the vehicle transportation data of each section of travel also needs to be stored respectively. In this embodiment, the step S200: the method for collecting the vehicle transportation data in the vehicle transportation process comprises the following steps:
collecting vehicle transportation data of at least one section of journey, wherein the vehicle transportation data at least comprises vehicle track information and load capacity in the journey, if the section of journey corresponds to a transportation order, the load capacity is the load capacity of the order mark, and if the section of journey does not correspond to the transportation order; the load weight is 0;
for each section of journey, uploading corresponding vehicle transportation data to the block chain, and taking vehicle identification information, journey starting time and journey ending time as main keys of the vehicle transportation data in the block chain, for example, taking a 'license plate number' + 'license plate color' + 'starting time' + 'ending time' as the block chain of the section of journey. When the track data and the load information related to the travel are uploaded, each data point completely contains the main key information.
When the vehicle carbon emission measuring method is applied to a freight transportation platform, the vehicle is a truck, and the vehicle executes a corresponding transportation order and transports freight. The vehicle transportation data for the at least one trip further includes transportation order information to which the trip belongs. The transportation order information at least includes a load capacity, a license plate number, a license plate time, a start position (start longitude and start latitude), an end time, an end address (end longitude and end latitude), and the like.
The invention can realize the uniqueness of the carbon emission data calculation and storage in the vehicle transportation process by storing and managing the vehicle transportation data and the carbon emission of the vehicle based on the block chain technology. Further, the vehicle transportation data of the uplink can be further verified. The step S200: the method comprises the following steps of collecting vehicle transportation data in the vehicle transportation process, and uploading the vehicle transportation data to the block chain, wherein the method also comprises the following steps:
judging whether stored data which are repeated with the vehicle transportation data exist in the block chain or not according to the vehicle identification information and the vehicle track information which correspond to the vehicle transportation data; the repetition refers to that track information of the same vehicle in the same time period corresponding to the vehicle track information exists in the stored data on the block chain, and the data is considered to be repeated no matter whether the track information in the stored data is consistent with the vehicle track information which is just linked;
if so, the part of data is repeated, and in order to avoid repeated calculation of the carbon emission, the vehicle transportation data is marked as unavailable data in the block chain and is not used for calculation again when the carbon emission is calculated subsequently.
As shown in fig. 2, in this embodiment, in the step S200, for each journey, vehicle transportation data during vehicle transportation is collected and uploaded to the block chain, which includes the following steps:
s210: when the execution of a transportation order is started, a route corresponding to the transportation order is created, vehicle identification information, order identification information, load capacity information, order starting time and order starting position of the transportation order are collected and uploaded to the block chain;
s220: in the order execution process of the vehicle, acquiring vehicle track information in real time, taking the vehicle track information as vehicle track information of a corresponding travel of the transportation order, and uploading the vehicle track information to the block chain; the vehicle track information is, for example, real-time communication with the vehicle, and the positioning information (positioning longitude and latitude) of the vehicle at each time point is acquired;
s230: and when the execution of the transportation order is finished, acquiring the order end time and the order end position of the transportation order, uploading the order end time and the order end position to the block chain, and recording the end of the order.
The above is the manner of collecting vehicle transportation data for the trip corresponding to the transportation order.
For a journey without a transportation order, the mode of collecting vehicle transportation data in the vehicle transportation process can be as follows: the load capacity can be recorded as 0, or the load capacity uploaded by a driver can be acquired, and the vehicle track information of the vehicle in the driving process can be acquired. The start time of a trip without a transport order may be the time after the discharge of the last transport order and the end time may be the time of the load of the previous transport order.
In this embodiment, before uploading the vehicle registration information to the blockchain in step S100, a step of encrypting the vehicle registration information is further included. Privacy information of the vehicle owner and the vehicle can be kept secret by the encryption processing of the vehicle registration information.
In step S200, before uploading the vehicle transportation data to the block chain, a step of encrypting the vehicle transportation data is further included. For example, license plate transportation data is linked in a data structure of { Hash (license plate number + license plate color), timestamp, encrypt (longitude), encrypt (latitude) }. Hash (license plate number + license plate color) desensitizes the license plate number by an encryption algorithm. Encrypt (longitude) and Encrypt (latitude) are also an encryption algorithm, which needs to be unable to check true longitude and latitude, but can still obtain correct values when judging whether the positions are the same and calculating the distance. The encryption algorithm used in this embodiment may be a well-established encryption algorithm known in the art.
In this embodiment, as shown in fig. 3, between the step S200 and the step S300, the following steps are further included:
s270: calling a second calculation intelligent contract of the block chain, and verifying the vehicle track information based on the transportation order information; the second intelligent calculation contract is configured to verify vehicle track information according to transportation order information corresponding to the same journey based on a preset verification algorithm;
if the verification passes, proceed to step S280: setting the vehicle transportation data of the verified journey in the block chain as queriable data, and continuing to the step S300: calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data;
if the verification fails, S290: vehicle transportation data in the blockchain for trips that fail the verification is marked as unusable.
In this embodiment, the step S270: verifying the vehicle track information based on the transportation order information, including verifying start point information and verifying end point information, specifically, the method includes the following steps:
and (3) starting point information verification: extracting order starting time information and an order starting position from the transportation order information, judging whether the order starting time information and the order starting position are consistent with the vehicle track information, if so, passing the verification, otherwise, failing to pass the verification; whether the order starting time and the track starting time are consistent or not can be judged, whether the error between the order starting time and the track starting time is smaller than a set threshold or not, whether the error between the order starting point longitude and the track starting point longitude is smaller than a set threshold or not, and whether the error between the order starting point latitude and the track starting point latitude is smaller than a set threshold or not can be judged;
and (4) verifying the end point information: extracting order end time information and an end point position from the transportation order information, judging whether the order end time and the order end point position are consistent with the vehicle track information, if so, passing the verification, otherwise, failing to pass the verification; whether the order end time and the track end time are consistent or not can be judged, whether the error between the order end time and the track end time is smaller than a set threshold or not, whether the error between the order end point longitude and the track end point longitude is smaller than a set threshold or not, and whether the error between the order end point latitude and the track end point latitude is smaller than a set threshold or not.
Only when both the verification of the start point information and the verification of the terminal information are passed, the verification of the vehicle track information is determined to be passed, and the steps S280 and S300 are continued.
In this embodiment, the weighing card may also weigh the vehicle and upload the weighing information to the block chain as the vehicle passes through the various weighing cards. The weighing data of the weighing bayonet can be directly uploaded to the block chain by the weighing bayonet, or the weighing bayonet is firstly sent to the vehicle management platform and is uploaded to the block chain by the vehicle management platform. Therefore, the vehicle transportation data further includes the reported loading capacity reported by each weighing gate. The step S270: verifying the vehicle track information based on the transportation order information, and further comprising a load capacity verification step, specifically, the load capacity verification step comprises the following steps:
and extracting the order load capacity from the transportation order information, and judging whether the order load capacity is consistent with the reported load capacity. Whether the order loading capacity and the reported loading capacity are consistent or not can be that the error between the order loading capacity and the reported loading capacity is smaller than a set threshold value.
In the embodiment of the incremental payload verification, the vehicle trajectory information verification is determined to pass only after the start point information verification, the terminal information verification, and the payload verification pass, and the steps S280 and S300 are continued.
In this embodiment, the method further comprises the steps of:
receiving a carbon emission query request, wherein the carbon emission query request comprises vehicle identification information, query time period starting time and query time period ending time;
and inquiring the carbon emission corresponding to the vehicle identification information and the trip with the time falling into the inquiry time period according to the carbon emission inquiry request, and returning to the requester. One itinerary may be queried or multiple itineraries may be queried during the query period. When multiple trips are queried, the carbon emissions for each trip and/or the total carbon emissions for multiple trips may be returned to the requesting party together. For example, in one embodiment, given a query time period, a license plate number, and license plate color, the requestor may query from the blockchain to within the query time period: total driving range, total completed transportation turnover, real load rate, total carbon emission (i.e., total carbon footprint). The specific calculation of the total driving range, the total transportation turnover amount completed, and the actual load factor will be described in detail below.
The method of calculating the carbon emissions from the vehicle trajectory information and the load amount will be described in detail below with reference to fig. 4. The essence of automobile oil consumption is that an engine overcomes friction to do work, and the friction is in direct proportion to the total weight of a vehicle, so the oil consumption of the vehicle linearly increases along with the vehicle weight, and the properties are as follows: when the vehicle is unloaded, the weight of the vehicle is t 0 Carbon emission per kilometer is C 0 (ii) a When the vehicle loading capacity is t, the total vehicle weight is t 0 + t, corresponding per kilometer at that timeCarbon is discharged as
K is a predetermined coefficient.
For a particular truck, the following features are present:
at no load the weight of the vehicle is t 0 ；
Carbon emission per kilometer at idle 0 ；
Rated load capacity at full load of t F ；
Total vehicle weight at full load is t 0 +t F ；
The carbon emissions per kilometer at full load can be calculated as
Based on the above assumption, further assuming that the actual load of the vehicle is t, the "full load rate" of the vehicle at that time is defined as
The carbon emissions per kilometer for which it corresponds can be calculated as:
the carbon emission of a specific freight truck is calculated from its travel track as follows. It is assumed that a route traveled by a certain driver for a certain period of time is as shown in fig. 4.
The dots are the city where the driver stays. Wherein l 1 、l 3 、l 5 、l 7 、l 9 Is the transport mileage of the driver, t 1 、t 3 、t 5 、t 7 、t 9 Is the load capacity over the corresponding transport mileage; l 2 、l 4 、l 6 、l 8 The pure empty distance (0 load) between the unloading place of the previous order and the loading place of the next order is provided for the driver. l. the 1 、l 2 、l 3 、l 4 、l 5 、l 6 、l 7 、l 8 、l 9 Corresponding to the mileage of each trip of the vehicle. The first section, the third section, the fifth section, the seventh section and the ninth section respectively correspond to a transportation order, and the second section, the fourth section, the sixth section and the eighth section are idle driving routes. The haul mileage per trip can be obtained from the vehicle trajectory information per trip.
The rated load of the vehicle is t F Then the loading rate, in particular per transport mileage, is r i ＝t i /t F . According to the previous assumptions, the carbon emissions and the completed transportation turnover for each trip of the vehicle can be calculated:
a first stage: carbon emission: r is a radical of hydrogen 1 l 1 c F +(1-r 1 )l 1 c 0 And transportation turnover: r is 1 l 1 t F
And a second stage: carbon emission: l. the 2 c 0 And transportation turnover: 0
A third stage: carbon emission: r is 3 l 3 c F +(1-r 3 )l 3 c 0 And transportation turnover: r is 3 l 3 t F
A fourth stage: carbon emission: l. the 4 c 0 And transportation turnover: 0
A fifth stage: carbon emission: r is 5 l 5 c F +(1-r 5 )l 5 c 0 And transportation turnover: r is a radical of hydrogen 5 l 5 t 5
A sixth stage: carbon emission: l 6 c 0 And transportation turnover: 0
A seventh stage: carbon emission: r is a radical of hydrogen 7 l 7 c F +(1-r 7 )l 7 c 0 And transportation turnover: r is 7 l 7 t F
An eighth stage: carbon emission: l 8 c 0 And transportation turnover: 0
A ninth stage: carbon emission: r is 9 l 9 c F +(1-r 9 )l 9 c 0 And transportation turnover: r is 9 l 9 t F
In the transportation trip, the total driving range of the vehicle is as follows:
L＝∑ i l i
the total transportation turnover amount completed by the method is as follows:
the total Carbon Emission (Carbon Emission) or so-called "Carbon footprint" of the vehicle on the above-mentioned transport route is therefore:
by definition, the Load Factor of the vehicle is:
the carbon emission of the vehicle in the transportation stroke is further simplified and obtained as follows:
it can be seen that the total transport mileage L of the vehicle, the real load rate LF over these transport ranges, the carbon emissions per kilometer when the vehicle is empty c 0 Carbon emission per kilometer at full load c F The carbon footprint, i.e., carbon emissions, it produces during these transport trips is determined.
The carbon Emission intensity (Emission Factor) per unit turnover of the vehicle is defined as
Since the load factor LF is between 0 and 1, when the load factor LF is 1 (full load), EF takes the minimum value
The smaller the loading factor, the larger the EF, and the higher the carbon emissions per unit transportation turnover completed by the vehicle.
The method can be applied to vehicles with any power, such as diesel oil, natural gas, alcohol and even pure electric or hydrogen energy vehicles. Only the carbon emission c per kilometer when the vehicle is unloaded is determined according to the vehicle type 0 Rated load t at full load F And carbon emission per kilometer at full load c F In addition to the detailed trips of the vehicle and the load data of each specific trip, the real load rate LF, the carbon emission intensity EF per unit transportation turnover (ton · km), and the carbon footprint CE of the vehicle during the transportation trips can be accurately estimated. The method changes the direct measurement of the oil consumption and the carbon emission of the freight vehicles into the indirect measurement of the transport mileage and the load of the freight vehicles, and greatly improves the feasibility of the carbon footprint measurement in the field of road freight transportation.
As shown in fig. 5, an embodiment of the present invention further provides a vehicle carbon emission measurement system, which is used for implementing the vehicle carbon emission measurement method, and the system includes:
the first acquisition module M100 is used for acquiring vehicle registration information and uploading the vehicle registration information to the block chain;
the second acquisition module M200 is used for acquiring vehicle transportation data in the vehicle transportation process and uploading the vehicle transportation data to the block chain;
the carbon emission calculation module M300 is used for calling a first calculation intelligent contract of the block chain and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data;
and a carbon emission uplink module M400 for uploading the carbon emission of the vehicle to the block chain.
In the vehicle carbon emission measurement system of the present invention, the functions of the modules may be implemented by using the specific implementation of the vehicle carbon emission measurement method described above, which is not described herein again.
In the embodiment of the invention, after the vehicle registration information is acquired by the first acquisition module M100, the vehicle registration information is uploaded to the block chain for storage as the basic information of the vehicle, and in the vehicle transportation process, the vehicle transportation data is acquired by the second acquisition module M200 and then uploaded to the block chain for storage, so that the uniqueness of the vehicle transportation data in the block chain is ensured, and after the carbon emission of the vehicle is automatically calculated by calling the intelligent contract service in the block chain by the carbon emission calculation module M300, the carbon emission of the vehicle is uploaded to the block chain by the carbon emission uplink module M400, so that the vehicle transportation data is ensured to be measured only once. Therefore, on one hand, the carbon emission of the vehicle can be calculated through the vehicle registration information and the vehicle transportation data without acquiring the vehicle oil consumption data, on the other hand, the vehicle transportation data are stored and managed based on the block chain technology, the uniqueness of the whole network data is ensured, the carbon emission of the vehicle is automatically calculated based on the intelligent contract service of the block chain, the carbon emission generated in the same stroke is measured only once, repeated calculation is avoided, and the whole network consensus is realized. The vehicle carbon emission measurement system can be deployed on a vehicle management platform (such as a freight platform) to manage the transportation orders of the vehicles, and can communicate with the vehicles to acquire track information obtained by positioning the vehicles in real time. Alternatively, the vehicle carbon emission measurement method may be applied to a plurality of devices or a plurality of platforms, for example, one platform collects and uploads vehicle registration information, and another platform collects and uploads vehicle transportation data.
The embodiment of the invention also provides vehicle carbon emission measuring equipment, which comprises a processor; a memory having stored therein executable instructions of the processor; wherein the processor is configured to perform the steps of the vehicle carbon emission amount measuring method via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.), or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module, "or" platform.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 that couples various system components including the memory unit 620 and the processing unit 610, a display unit 640, and the like.
Wherein the storage unit stores program code executable by the processing unit 610 to cause the processing unit 610 to perform the steps according to various exemplary embodiments of the present invention described in the vehicular carbon emission amount measuring method section described above in this specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM) 6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include programs/utilities 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
In the vehicle carbon emission amount measuring apparatus, the program in the memory is executed by the processor to realize the steps of the vehicle carbon emission amount measuring method, and therefore, the apparatus can also obtain the technical effects of the vehicle carbon emission amount measuring method described above.
The embodiment of the invention also provides a computer readable storage medium for storing a program, and the program realizes the steps of the vehicle carbon emission measuring method when being executed by a processor. In some possible embodiments, aspects of the present invention may also be implemented in the form of a program product including program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned vehicle carbon emission measurement method section of this specification, when the program product is executed on the terminal device.
Referring to fig. 7, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be executed on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The program in the computer storage medium, when executed by a processor, implements the steps of the vehicle carbon emission measuring method, and therefore, the computer storage medium can also obtain the technical effects of the vehicle carbon emission measuring method described above.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (14)
1. A method of measuring a carbon emission amount of a vehicle, characterized by comprising the steps of:
collecting vehicle registration information and uploading the vehicle registration information to a block chain;
collecting vehicle transportation data in the vehicle transportation process, and uploading the data to the block chain;
calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data;
uploading carbon emissions of the vehicle to the blockchain.
2. The vehicle carbon emission amount measuring method according to claim 1, wherein the vehicle registration information includes vehicle identification information, calibration carbon emission amount data, and a rated load capacity;
the vehicle transportation data includes vehicle trajectory information and load capacity information.
3. The method of claim 2, wherein the step of collecting vehicle transportation data during vehicle transportation comprises the steps of:
collecting vehicle transportation data of at least one trip;
and for each section of journey, uploading corresponding vehicle transportation data to the block chain, and taking vehicle identification information, journey starting time and journey ending time as main keys of the vehicle transportation data in the block chain.
4. The vehicle carbon emission amount measuring method according to claim 3, wherein calling a first computation smart contract of the block chain to compute a carbon emission amount of a vehicle based on the vehicle registration information and the vehicle transportation data, comprises the steps of:
and for each section of journey, calling a first calculation intelligent contract of the block chain, and calculating the carbon emission of the section of journey based on the calibration carbon emission data, the rated load capacity, the vehicle track information and the load capacity information.
5. The vehicular carbon emission amount measuring method according to claim 3, wherein the vehicular transportation data for at least one trip further includes transportation order information to which the trip belongs;
the method comprises the following steps of collecting vehicle transportation data in the vehicle transportation process and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data, and further comprises the following steps:
calling a second calculation intelligent contract of the block chain, and verifying the vehicle track information based on the transportation order information;
and if the verification is passed, setting the vehicle transportation data of the verified journey in the blockchain as queriable data, calling a first calculation intelligent contract of the blockchain, and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data.
6. The vehicle carbon emission amount measuring method according to claim 5, wherein verifying the vehicle trajectory information based on the transportation order information includes the steps of:
extracting order starting time information and an order starting position from the transportation order information, and judging whether the order starting time information and the order starting position are consistent with the vehicle track information or not;
and extracting order ending time information and an end position from the transportation order information, and judging whether the order ending time and the order end position are consistent with the vehicle track information.
7. The vehicle carbon emission measurement method according to claim 6, wherein the vehicle transportation data further includes reported payload amounts reported by the respective weighing checkpoints;
verifying the vehicle trajectory information based on the transportation order information, further comprising the steps of:
and extracting the order load capacity from the transportation order information, and judging whether the order load capacity is consistent with the reported load capacity.
8. The method for measuring the carbon emission amount of the vehicle according to claim 6, wherein the step of collecting vehicle transportation data during vehicle transportation and uploading the vehicle transportation data to the block chain comprises the following steps:
when the execution of a transportation order is started, a travel corresponding to the transportation order is created, and vehicle identification information, order identification information, load capacity information, order starting time and order starting position of the transportation order are acquired and uploaded to the block chain;
in the order execution process of the vehicle, acquiring vehicle track information in real time, taking the vehicle track information as vehicle track information of a corresponding travel of the transportation order, and uploading the vehicle track information to the block chain;
and when the execution of the transportation order is finished, acquiring the order end time and the order end position of the transportation order, uploading the order end time and the order end position to the block chain, and recording the end of the order.
9. The vehicle carbon emission amount measuring method according to claim 3, further comprising the steps of:
receiving a carbon emission query request, wherein the carbon emission query request comprises vehicle identification information, query time period starting time and query time period ending time;
and inquiring the carbon emission corresponding to the vehicle identification information and the trip with the time falling into the inquiry time period according to the carbon emission inquiry request, and returning to the requester.
10. The method for measuring the carbon emission quantity of the vehicle according to claim 1, wherein after the vehicle transportation data in the vehicle transportation process is collected and uploaded to the block chain, the method further comprises the following steps:
judging whether stored data which are repeated with the vehicle transportation data exist in the block chain or not according to vehicle identification information and vehicle track information corresponding to the vehicle transportation data;
if so, the vehicle transportation data is marked as unavailable data in the blockchain.
11. The vehicle carbon emission measurement method according to claim 1, further comprising a step of encrypting the vehicle registration information before uploading the vehicle registration information to a block chain;
before uploading the vehicle transportation data to the block chain, the method further comprises the step of encrypting the vehicle transportation data.
12. A vehicle carbon emission amount measuring system for implementing the vehicle carbon emission amount measuring method according to any one of claims 1 to 11, the system comprising:
the first acquisition module is used for acquiring vehicle registration information and uploading the vehicle registration information to the block chain;
the second acquisition module is used for acquiring vehicle transportation data in the vehicle transportation process and uploading the vehicle transportation data to the block chain;
the carbon emission calculation module is used for calling a first calculation intelligent contract of the block chain and calculating the carbon emission of the vehicle based on the vehicle registration information and the vehicle transportation data;
and the carbon emission uplink module is used for uploading the carbon emission of the vehicle to the block chain.
13. A vehicle carbon emission amount measuring apparatus, characterized by comprising:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the vehicle carbon emission quantity method of any one of claims 1 to 11 via execution of the executable instructions.
14. A computer-readable storage medium storing a program, characterized in that the program realizes the steps of the vehicle carbon emission amount measuring method according to any one of claims 1 to 11 when executed by a processor.
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| CN116228050A (en) * | 2023-05-09 | 2023-06-06 | 中汽研汽车检验中心(昆明)有限公司 | Environment-friendly monitoring method and system for enterprise vehicles |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116228050A (en) * | 2023-05-09 | 2023-06-06 | 中汽研汽车检验中心(昆明)有限公司 | Environment-friendly monitoring method and system for enterprise vehicles |
| CN116228050B (en) * | 2023-05-09 | 2023-08-11 | 中汽研汽车检验中心(昆明)有限公司 | Environment-friendly monitoring method and system for enterprise vehicles |
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