Highway bridge carbon emission prediction method

Abstract

The invention relates to the field of data processing, in particular to a highway bridge carbon emission prediction method which comprises a central processing unit, the output end of the central processing unit is connected with a data center, the output end of the data center is connected with a distinguishing unit, and the output end of the distinguishing unit is connected with a locking module. The output end of the locking module is connected with a tracking unit, the output end of the tracking unit is connected with a rectification unit, the data center is used for storing data, the distinguishing unit is used for predicting whether carbon emission is qualified or not, and the locking module is used for locking an abnormal vehicle. According to the invention, the labor intensity of traffic management personnel is reduced, a driver can be timely informed of rectification when driving away from a highway, the safety of high-speed driving is ensured, the vehicle with unqualified carbon emission is ensured to be rectified within a specified time, the intensity of traffic management is effectively improved, and the carbon emission is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, and particularly relates to a highway bridge carbon emission prediction method. BACKGROUND

[0002] When predicting the carbon emission of vehicles driving on the highway bridge, the carbon emission generated in the driving process of the vehicle is estimated according to the unit mileage carbon emission factor of the vehicle. In the prediction process, the instantaneous analysis of the vehicle exhaust plume is carried out by using the spectral remote sensing technology to detect the concentration of carbon dioxide, the exhaust flow and the driving speed, and then the detected data is combined with the carbon emission algorithm to evaluate and predict the carbon emission of the vehicle passing through the highway bridge.

[0003] However, in the actual prediction process, when the predicted data shows that the carbon emission of the vehicle does not meet the standard, the driver is usually informed to make rectification by manual contact of the staff, which increases the labor intensity of the traffic management personnel, and in the process of informing, if the driver is driving on the highway, the attention of the driver will be distracted, which seriously affects the driving safety. SUMMARY

[0004] The present application aims to solve the problems in the background art and provides a highway bridge carbon emission prediction method.

[0005] To achieve the above purpose, the technical scheme adopted by the present application is as follows: a highway bridge carbon emission prediction method, comprising a central processing unit, wherein the output end of the central processing unit is connected with a data center, the output end of the data center is connected with a discrimination unit, the output end of the discrimination unit is connected with a locking module, the output end of the locking module is connected with a tracking unit, the output end of the tracking unit is connected with a rectification unit, the data center is used for storing data, the discrimination unit is used for predicting whether the carbon emission is qualified, the locking module is used for locking abnormal vehicles, the tracking unit is used for tracking and informing abnormal vehicles, and the rectification unit is used for supervising and rectifying abnormal vehicles, the input end of the data center is connected with a data receiving module, the input end of the data receiving module is connected with a data transmission module, and the input end of the data transmission module is connected with a detection unit.

[0006] Preferably, the data receiving module is used for receiving the transmitted data, the data transmission module is used for transmitting the detected data, and the detection unit is used for detecting the carbon emission and the vehicle information, and the detection unit comprises a positioning module, a shooting module and a license plate detection module, and the positioning module is used for positioning the vehicle position.

[0007] Preferably, the imaging module is used to capture the vehicle's exterior, the license plate detection module is used to identify license plate information, and the detection unit further includes a spectral remote sensing detection module, which is used to perform instantaneous analysis of the vehicle's exhaust plume to calculate carbon dioxide concentration, exhaust flow rate, and driving speed, etc.

[0008] Preferably, the identification unit includes a vehicle model recognition module and a calculation area. The output of the vehicle model recognition module is connected to a standard area, and the input of the standard area is connected to a standard input module. The vehicle model recognition module is used to identify the type of vehicle based on its shape. The standard area is used to record the standard carbon emissions of different types of vehicles. The standard input module is used to input the carbon emissions of different types of vehicles. The calculation area is used to evaluate and predict the carbon emissions of a vehicle when it passes over a highway bridge based on the data detected by the spectral remote sensing detection module and combined with an algorithm. The output of the standard area is connected to a comparison module. The output of the comparison module is connected to "result unqualified" and "result qualified" respectively. The comparison module is used to compare the predicted carbon emissions with the standard carbon emissions. "Result unqualified" indicates that the carbon emissions are unqualified, and "result qualified" indicates that the carbon emissions are qualified.

[0009] Preferably, the tracking unit includes a map module, an input terminal of which is connected to a route module, and an output terminal of which is connected to a location confirmation module. The map module is used to display the road distribution, the route module is used to display the driving route of the abnormal vehicle, the location confirmation module is used to confirm the toll station reached by the abnormal vehicle, an input terminal of which is connected to an information entry module, the information entry module is used to enter the relevant contact information of the toll station, and an output terminal of which is connected to a notification module, the notification module is used to notify the toll station staff to intercept the abnormal vehicle and inform the driver to make corrections.

[0010] Preferably, the rectification unit includes a marking module, the output of which is connected to a timing module, and the output of which is connected to a reminder module. The marking module is used to mark relevant information of the abnormal vehicle, the timing module is used to time the rectification deadline, and the reminder module is used to remind the driver to rectify the problem on time during the timing process.

[0011] Preferably, the output end of the reminder module is connected to an upload module, the output end of the upload module is connected to a rectification completed sign, the output end of the upload module is also connected to an unrectified sign, and the output end of the rectification completed sign is connected to a clear mark. The upload module is used to upload relevant information about rectification completed via a mobile terminal after the driver has completed the rectification. The rectification completed sign indicates that the driver has completed the rectification and uploaded the information within the rectification period, and the unrectified sign indicates that the driver has not completed the rectification and has not uploaded the information within the rectification period.

[0012] Preferably, the clear mark is used to clear the mark on the abnormal vehicle after rectification is completed. The output terminal of the unrectified vehicle is connected to an alarm module. The output terminal of the alarm module is connected to a contact module. The alarm module is used to send a message urging rectification and notify relevant staff. The contact module is used to send the message urging rectification to the driver of the abnormal vehicle and enable relevant staff and the driver to contact each other to urge rectification.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] 1. Through the identification unit, the vehicle type can be identified based on its shape by the vehicle model recognition module. The standard area records the standard carbon emissions of different types of vehicles. The standard input module is used to input the carbon emissions of different types of vehicles. The comparison module is used to compare the predicted carbon emissions with the standard carbon emissions. A result of non-compliance indicates that the carbon emissions are non-compliant, while a result of compliance indicates that the carbon emissions are compliant. At this time, the locking module locks the abnormal vehicle, and the tracking unit, with the help of the map module, displays the road distribution. The route module displays the driving route of the abnormal vehicle. The location confirmation module confirms the toll station where the abnormal vehicle arrived. The information input module is used to input the relevant contact information of the toll station. The notification module is used to notify the toll station staff to intercept the abnormal vehicle and inform the driver to make corrections. In this way, after predicting abnormal carbon emissions, the vehicle automatically locks the route and informs the driver to make corrections when leaving the highway. The process does not require manual contact by staff, which effectively reduces the workload of traffic management personnel and can promptly inform the driver to make corrections when leaving the highway, avoiding distraction of the driver while driving on the highway and ensuring the safety of highway driving.

[0015] 2. Through the rectification unit, under the action of the marking module, relevant information of abnormal vehicles can be marked. The timing module is used to time the rectification deadline. The reminder module is used to remind drivers to rectify on time during the timing process. The upload module is used to upload relevant information of rectification completion via mobile terminal after the driver completes the rectification. "Rectification Completed" indicates that the driver has completed the rectification and uploaded the information within the rectification period. "Not Rectified" indicates that the driver has not completed the rectification within the rectification period and has not uploaded the information. "Clear Mark" is used to remove the mark on the abnormal vehicle after rectification. The alarm module is used to send a message urging rectification and notify relevant personnel. The contact module is used to send the message urging rectification to the driver of the abnormal vehicle and enable relevant personnel to contact the driver to urge rectification. This ensures that vehicles that do not meet carbon emission standards complete rectification within the specified time, thereby improving the intensity of traffic management and reducing carbon emissions. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of a method for predicting carbon emissions from highway bridges according to the present invention.

[0017] Figure 2 This is a schematic diagram of the discrimination unit in a method for predicting carbon emissions from highway bridges according to the present invention.

[0018] Figure 3 This is a schematic diagram of the rectification unit of the carbon emission prediction method for highway bridges according to the present invention.

[0019] Figure 4 This is a schematic diagram of the tracking unit in a method for predicting carbon emissions from highway bridges according to the present invention. Detailed Implementation

[0020] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0021] like Figures 1-4 The method for predicting carbon emissions from highway bridges includes a central processing unit (CPU). The CPU's output is connected to a data center. The data center's output is connected to a discrimination unit. The discrimination unit's output is connected to a locking module. The locking module's output is connected to a tracking unit. The tracking unit's output is connected to a rectification unit. The data center stores data. The discrimination unit predicts whether carbon emissions are within acceptable limits. The locking module locks abnormal vehicles. The tracking unit tracks and notifies abnormal vehicles. The rectification unit monitors and rectifys abnormal vehicles. The data center's input is connected to a data receiving module. The data receiving module's input is connected to a data transmission module. The data transmission module's input is connected to a detection unit.

[0022] The data receiving module is used to receive the transmitted data, the data transmission module is used to transmit the detected data, and the detection unit is used to detect carbon emissions and vehicle information. The detection unit includes a positioning module, a shooting module, and a license plate detection module. The positioning module is used to locate the vehicle's position.

[0023] The imaging module is used to capture images of the vehicle's exterior, the license plate detection module is used to identify license plate information, and the detection unit also includes a spectral remote sensing detection module, which is used to perform instantaneous analysis of the vehicle's exhaust plume to calculate carbon dioxide concentration, exhaust flow rate, and driving speed, etc.

[0024] The identification unit includes a vehicle type recognition module and a calculation area. The output of the vehicle type recognition module is connected to a standard area, and the input of the standard area is connected to a standard input module. The vehicle type recognition module is used to identify the type of vehicle based on its shape. The standard area is used to record the standard carbon emissions of different types of vehicles. The standard input module is used to input the carbon emissions of different types of vehicles. The calculation area is used to evaluate and predict the carbon emissions of vehicles when passing over highway bridges based on the data detected by the spectral remote sensing detection module and combined with the algorithm. The output of the standard area is connected to a comparison module. The output of the comparison module is connected to "result unqualified" and "result qualified" respectively. The comparison module is used to compare the predicted carbon emissions with the standard carbon emissions. "Result unqualified" indicates that the carbon emissions are unqualified, and "result qualified" indicates that the carbon emissions are qualified.

[0025] The tracking unit includes a map module, an input terminal of which is connected to a route module, and an output terminal of which is connected to a location confirmation module. The map module is used to display the road distribution, the route module is used to display the driving route of the abnormal vehicle, and the location confirmation module is used to confirm the toll station reached by the abnormal vehicle. The input terminal of the map module is connected to an information entry module, which is used to enter the relevant contact information of the toll station. The output terminal of the location confirmation module is connected to a notification module, which is used to notify the toll station staff to intercept the abnormal vehicle and inform the driver to make corrections.

[0026] The rectification unit includes a marking module, the output of which is connected to a timing module, and the output of which is connected to a reminder module. The marking module is used to mark relevant information about abnormal vehicles, the timing module is used to time the rectification deadline, and the reminder module is used to remind the driver to rectify the problem on time during the timing process.

[0027] The output of the reminder module is connected to the upload module. The output of the upload module is connected to the rectification completed indicator and the unrectified indicator. The output of the rectification completed indicator is connected to the clear marker. The upload module is used to upload relevant information about rectification completion via the mobile terminal after the driver has completed the rectification. Rectification completed indicates that the driver has completed the rectification and uploaded the information within the rectification period. Unrectified indicates that the driver has not completed the rectification and has not uploaded the information within the rectification period.

[0028] The mark removal function is used to remove the mark on abnormal vehicles after rectification is completed. The output terminal of the unrectified vehicle is connected to an alarm module, and the output terminal of the alarm module is connected to a contact module. The alarm module is used to send a message urging rectification and notify relevant staff. The contact module is used to send the message urging rectification to the driver of the abnormal vehicle and enable relevant staff and the driver to contact each other to urge rectification.

[0029] In summary, the identification unit, with the help of the vehicle model recognition module, can identify the vehicle type based on its appearance. The standard area records the standard carbon emissions for different types of vehicles, the standard input module inputs the carbon emissions for different types of vehicles, and the comparison module compares the predicted carbon emissions with the standard carbon emissions. A result of "unqualified" indicates that the carbon emissions are not up to standard, while a result of "qualified" indicates that the carbon emissions are up to standard. At this point, the locking module locks the abnormal vehicle, and the tracking unit, with the help of the map module, displays the road distribution. The route module displays the abnormal vehicle's route, the location confirmation module confirms the toll station the abnormal vehicle has arrived at, the information input module inputs the relevant contact information of the toll station, and the notification module notifies the toll station staff to intercept the abnormal vehicle and inform the driver to make corrections. In this way, after predicting abnormal carbon emissions, the system automatically locks the vehicle's route and informs the driver to make corrections when leaving the highway. This process does not require manual contact by staff, effectively reducing the workload of traffic management personnel. The system can promptly notify drivers of rectification procedures when leaving the highway, preventing distraction during highway driving and ensuring safety. Through the rectification unit, the marking module marks relevant information about abnormal vehicles, the timing module sets the rectification deadline, the reminder module reminds drivers to rectify on time, the upload module allows drivers to upload rectification information via their mobile devices after completion, indicating "rectification complete" and "not rectified" within the rectification period, "not rectified" and "not rectified," the "remove marking" function removes the marking from abnormal vehicles after rectification, the alarm module sends a reminder message and notifies relevant personnel, and the contact module sends the reminder message to the driver of the abnormal vehicle and facilitates contact to urge rectification. This ensures that vehicles failing carbon emission standards complete rectification within the stipulated time, thereby improving traffic management and reducing carbon emissions.

[0030] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for predicting carbon emissions from highway bridges, comprising a central processing unit, characterized in that: The output of the central processing unit is connected to a data center, the output of the data center is connected to a discrimination unit, the output of the discrimination unit is connected to a locking module, the output of the locking module is connected to a tracking unit, and the output of the tracking unit is connected to a rectification unit. The data center is used to store data, the discrimination unit is used to predict whether carbon emissions are compliant, the locking module is used to lock abnormal vehicles, the tracking unit is used to track and notify abnormal vehicles, and the rectification unit is used to supervise the rectification of abnormal vehicles. The input of the data center is connected to a data receiving module, the input of the data receiving module is connected to a data transmission module, and the input of the data transmission module is connected to a detection unit.

2. The method for predicting carbon emissions from highway bridges according to claim 1, characterized in that: The data receiving module is used to receive transmitted data, the data transmission module is used to transmit detected data, the detection unit is used to detect carbon emissions and vehicle information, and the detection unit includes a positioning module, a shooting module, and a license plate detection module. The positioning module is used to locate the vehicle position.

3. The method for predicting carbon emissions from highway bridges according to claim 2, characterized in that: The imaging module is used to capture images of the vehicle's exterior, the license plate detection module is used to identify license plate information, and the detection unit also includes a spectral remote sensing detection module, which is used to perform instantaneous analysis of the vehicle's exhaust plume to calculate carbon dioxide concentration, exhaust flow rate, and driving speed, etc.

4. The method for predicting carbon emissions from highway bridges according to claim 3, characterized in that: The identification unit includes a vehicle model recognition module and a calculation area. The output of the vehicle model recognition module is connected to a standard area, and the input of the standard area is connected to a standard input module. The vehicle model recognition module is used to identify the type of vehicle based on its shape. The standard area is used to record the standard carbon emissions of different types of vehicles. The standard input module is used to input the carbon emissions of different types of vehicles. The calculation area is used to evaluate and predict the carbon emissions of a vehicle when it passes over a highway bridge based on data detected by a spectral remote sensing module and combined with an algorithm. The output of the standard area is connected to a comparison module. The output of the comparison module is connected to "result unqualified" and "result qualified" respectively. The comparison module is used to compare the predicted carbon emissions with the standard carbon emissions. "Result unqualified" indicates that the carbon emissions are unqualified, and "result qualified" indicates that the carbon emissions are qualified.

5. The method for predicting carbon emissions from highway bridges according to claim 1, characterized in that: The tracking unit includes a map module, an input terminal of which is connected to a route module, and an output terminal of which is connected to a location confirmation module. The map module is used to display the road distribution, the route module is used to display the driving route of the abnormal vehicle, and the location confirmation module is used to confirm the toll station reached by the abnormal vehicle. The input terminal of the map module is connected to an information entry module, which is used to enter the relevant contact information of the toll station. The output terminal of the location confirmation module is connected to a notification module, which is used to notify the toll station staff to intercept the abnormal vehicle and inform the driver to make corrections.

6. The method for predicting carbon emissions from highway bridges according to claim 1, characterized in that: The rectification unit includes a marking module, the output of which is connected to a timing module, and the output of which is connected to a reminder module. The marking module is used to mark relevant information of abnormal vehicles, the timing module is used to time the rectification deadline, and the reminder module is used to remind the driver to rectify on time during the timing process.

7. The method for predicting carbon emissions from highway bridges according to claim 6, characterized in that: The output of the reminder module is connected to an upload module. The output of the upload module is connected to a "rectification completed" status and an "unrectified" status. The output of the "rectification completed" status is connected to a clear marker. The upload module is used to upload relevant information about the rectification completion status via a mobile terminal after the driver has completed the rectification. "Rectification completed" indicates that the driver has completed the rectification and uploaded the information within the rectification period. "Unrectified" indicates that the driver has not completed the rectification and has not uploaded the information within the rectification period.

8. The method for predicting carbon emissions from highway bridges according to claim 7, characterized in that: The clear mark is used to remove the mark on the abnormal vehicle after rectification is completed. The output terminal of the unrectified vehicle is connected to an alarm module. The output terminal of the alarm module is connected to a contact module. The alarm module is used to send a message urging rectification and notify relevant staff. The contact module is used to send the message urging rectification to the driver of the abnormal vehicle and enable relevant staff and the driver to contact each other to urge rectification.

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