CN112164154A - Traffic transportation energy consumption big data information processing system - Google Patents
Traffic transportation energy consumption big data information processing system Download PDFInfo
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- CN112164154A CN112164154A CN202011006961.5A CN202011006961A CN112164154A CN 112164154 A CN112164154 A CN 112164154A CN 202011006961 A CN202011006961 A CN 202011006961A CN 112164154 A CN112164154 A CN 112164154A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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Abstract
The invention discloses a traffic transportation energy consumption big data information processing system, belonging to the traffic transportation energy consumption data processing technology field, comprising: the energy consumption monitoring system comprises transportation equipment, an energy consumption monitoring module, a preprocessing module, an information filtering module, a data processing module, an energy consumption monitoring database, a fault database, a learning module and a control console, wherein the transportation equipment is in signal connection with the energy consumption monitoring module, the energy consumption monitoring module is in signal connection with the preprocessing module, and the preprocessing module is in signal connection with the information filtering module. This big data information processing system of transportation energy consumption not only can acquire the energy consumption information of big data to contrast fast according to the energy consumption information, and regulate and control the vehicle that traveles, can in addition when meeting with the same condition many times, send the regulation and control order to the vehicle automatically, work efficiency is higher, in time records when meeting with the unknown condition simultaneously, makes things convenient for processing next time.
Description
Technical Field
The invention relates to the technical field of traffic and transportation energy consumption data processing, in particular to a traffic and transportation energy consumption big data information processing system.
Background
The vehicle operation index reflects the management level of the vehicle by the enterprise and the running condition of the vehicle. The road conditions, the geometric conditions and the characteristics of the road, such as longitudinal slope, road surface flatness and the like, can greatly influence the energy consumption of the automobile, and in the driving process, the fuel consumption is easily influenced by various factors, but a driver cannot make adjustment at the first time, so that a large amount of energy is easily wasted. Therefore, a traffic and transportation energy consumption big data information processing system for processing energy consumption data information of vehicles is urgently needed.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above and/or other problems with existing information processing systems.
Therefore, the invention aims to provide a traffic transportation energy consumption big data information processing system, which can acquire energy consumption information of big data, quickly compare the energy consumption information according to the energy consumption information, regulate and control running vehicles, automatically send regulation and control commands to the vehicles when the vehicles encounter the same condition for multiple times, has higher working efficiency, and can timely record when the vehicles encounter unknown conditions so as to facilitate next processing.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
transportation energy consumption big data information processing system, it includes: the energy consumption monitoring system comprises transportation equipment, an energy consumption monitoring module, a preprocessing module, an information filtering module, a data processing module, an energy consumption monitoring database, a fault database, a learning module and a control console, wherein the transportation equipment is in signal connection with the energy consumption monitoring module, the energy consumption monitoring module is in signal connection with the preprocessing module, the preprocessing module is in signal connection with the information filtering module, the information filtering module is in signal connection with the data processing module, the data processing module is in signal connection with the energy consumption monitoring database, the fault database and the learning module, the fault database is in signal connection with the learning module, the data processing module and the learning module are both in signal connection with the control console, and the control console is in signal connection with the transportation equipment;
transportation equipment, transportation vehicles in transportation;
the energy consumption monitoring module monitors energy consumption information on more transportation equipment and sends the information to the preprocessing module;
the preprocessing module is used for performing correlation dimension feature extraction preprocessing on effective big data information features, sequencing correlation factors of effective information data and extracting a main feature quantity of correlation degree;
the information filtering module reasonably filters the non-associated information, normalizes all data and converts the data into the same interval for processing;
the data processing module is used for comparing the filtered information with information in the energy consumption monitoring database and searching information with the same key characteristics;
the energy consumption monitoring database stores common data of energy consumption information and provides information for the data processing module;
the fault database stores fault data corresponding to the energy consumption monitoring data and provides information for the data processing module;
the learning module is used for storing the energy consumption monitoring data, the fault data and the corresponding processing information of the console and providing information for the console;
and the console observes fault information and energy consumption monitoring information and issues corresponding instructions to different transport equipment for regulation and control.
The preferable scheme of the transportation energy consumption big data information processing system comprises the following steps:
s1: acquiring energy consumption information through an energy consumption monitoring module;
s2: filtering the information through a preprocessing module and an information filtering module;
s3: comparing the monitoring information with an energy consumption monitoring database through a data processing module to obtain the same information;
s4: the matching information in the energy consumption monitoring database is imported into a fault database, corresponding fault information is searched, and the information is sent to a learning module for storage;
s5: and sending information to the transportation equipment through the console to finish the regulation and control of the transportation equipment.
The preferable scheme of the transportation energy consumption big data information processing system is as follows: when the same data is encountered a plurality of times in the step S4, the learning module sends the saved information to the console.
The preferable scheme of the transportation energy consumption big data information processing system is as follows: when a problem exceeding the energy consumption monitoring database is encountered in the step S4, the information is sent to the console.
Compared with the prior art: acquiring energy consumption information through an energy consumption monitoring module; filtering the information through a preprocessing module and an information filtering module; comparing the monitoring information with an energy consumption monitoring database through a data processing module to obtain the same information; the matching information in the energy consumption monitoring database is imported into a fault database, corresponding fault information is searched, and the information is sent to a learning module for storage; sending information to the transportation equipment through the console to complete the regulation and control of the transportation equipment; when the same data is encountered for multiple times, the learning module sends the stored information to the console; when meeting with the problem that surpasss the energy consumption monitoring database, on sending information to the control cabinet, this transportation energy consumption big data information processing system not only can acquire the energy consumption information of big data to contrast fast according to the energy consumption information, and regulate and control the vehicle that traveles, can meet with the same condition many times in addition, send the regulation and control order to the vehicle automatically, work efficiency is higher, in time take notes when meeting with the unknown condition simultaneously, convenient time handle down.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flow chart of the present invention.
In the figure: the system comprises a transportation device 1, an energy consumption monitoring module 2, a preprocessing module 3, an information filtering module 4, a data processing module 5, an energy consumption monitoring database 6, a fault database 7, a learning module 8 and a console 9.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, and in the detailed description of the embodiments of the present invention, the cross-sectional views illustrating the structure of the device are not enlarged partially according to the general scale for convenience of illustration, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a traffic and transportation energy consumption big data information processing system, which can not only obtain the energy consumption information of big data, quickly compare the energy consumption information and regulate and control running vehicles, but also automatically send a regulation and control command to the vehicles when encountering the same condition for a plurality of times, has higher working efficiency, can timely record when encountering unknown condition, is convenient for next processing, and comprises the following steps: the system comprises transportation equipment 1, an energy consumption monitoring module 2, a preprocessing module 3, an information filtering module 4, a data processing module 5, an energy consumption monitoring database 6, a fault database 7, a learning module 8 and a console 9;
referring to fig. 1 and fig. 2 again, the transportation device 1 is in signal connection with an energy consumption monitoring module 2, the energy consumption monitoring module 2 is in signal connection with a preprocessing module 3, the preprocessing module 3 is in signal connection with an information filtering module 4, the information filtering module 4 is in signal connection with a data processing module 5, the data processing module 5 is in signal connection with an energy consumption monitoring database 6, a fault database 7 and a learning module 8, the fault database 7 is in signal connection with a learning module 8, the data processing module 5 and the learning module 8 are both in signal connection with a console 9, and the console 9 is in signal connection with the transportation device 1;
a transportation device 1, a transportation vehicle in transportation;
the energy consumption monitoring module 2 is used for monitoring energy consumption information on more transport equipment 1 and sending the information to the preprocessing module 3;
the preprocessing module 3 is used for performing correlation dimension feature extraction preprocessing on effective big data information features, sequencing correlation factors of effective information data and extracting correlation degree main feature quantity;
the information filtering module 4 reasonably filters the non-associated information, normalizes all data, and converts the data into the same interval for processing;
the data processing module 5 is used for comparing the filtered information with the information in the energy consumption monitoring database 6 and searching the information with the same key characteristics;
the energy consumption monitoring database 6 is used for storing common energy consumption information data and providing information for the data processing module 5;
the fault database 7 is used for storing fault data corresponding to the energy consumption monitoring data and providing information for the data processing module 5;
the learning module 8 is used for storing the energy consumption monitoring data, the fault data and the corresponding processing information of the console 9 and providing information for the console 9;
the console 9 is used for observing the fault information and the energy consumption monitoring information and performing regulation and control aiming at corresponding instructions issued by different transport equipment 1;
referring again to fig. 1 and 2, the method includes the following steps:
s1: energy consumption information is obtained through the energy consumption monitoring module 2;
s2: filtering the information through a preprocessing module 3 and an information filtering module 4;
s3: comparing the monitoring information with the energy consumption monitoring database 6 through the data processing module 5 to obtain the same information;
s4: the matching information in the energy consumption monitoring database 6 is imported into the fault database 7, so that corresponding fault information is searched and sent to the learning module 8 for storage;
s5: and sending information to the transportation equipment 1 through the control console 9 to complete the regulation and control of the transportation equipment 1.
When the energy consumption monitoring module is used specifically, energy consumption information is obtained through the energy consumption monitoring module 2; filtering the information through a preprocessing module 3 and an information filtering module 4; comparing the monitoring information with the energy consumption monitoring database 6 through the data processing module 5 to obtain the same information; the matching information in the energy consumption monitoring database 6 is imported into the fault database 7, so that corresponding fault information is searched and sent to the learning module 8 for storage; sending information to the transportation equipment 1 through the console 9 to complete regulation and control of the transportation equipment 1; when the same data is encountered for a plurality of times, the learning module 8 sends the stored information to the console 9; when a problem is encountered that exceeds the energy consumption monitoring database 6, the information is sent to the console 9.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (4)
1. Transportation energy consumption big data information processing system, its characterized in that includes: the energy consumption monitoring system comprises transportation equipment (1), an energy consumption monitoring module (2), a preprocessing module (3), an information filtering module (4), a data processing module (5), an energy consumption monitoring database (6), a fault database (7), a learning module (8) and a control console (9), wherein the transportation equipment (1) is in signal connection with the energy consumption monitoring module (2), the energy consumption monitoring module (2) is in signal connection with the preprocessing module (3), the preprocessing module (3) is in signal connection with the information filtering module (4), the information filtering module (4) is in signal connection with the data processing module (5), the data processing module (5) is in signal connection with the energy consumption monitoring database (6), the fault database (7) and the learning module (8), the fault database (7) is in signal connection with the learning module (8), and the data processing module (5) and the learning module (8) are both in signal connection with the control console (9), the console (9) is in signal connection with the transportation equipment (1);
a transport device (1), a transport vehicle in traffic;
the energy consumption monitoring module (2) is used for monitoring energy consumption information on more transport equipment (1) and sending the information to the preprocessing module (3);
the preprocessing module (3) is used for carrying out correlation dimension feature extraction preprocessing on effective big data information features, sequencing correlation factors of effective information data and extracting correlation degree main feature quantity;
the information filtering module (4) reasonably filters the non-associated information, normalizes all data and converts the data into the same interval for processing;
the data processing module (5) is used for comparing the filtered information with the information in the energy consumption monitoring database (6) and searching the information with the same key characteristics;
the energy consumption monitoring database (6) is used for storing common energy consumption information data and providing information for the data processing module (5);
the fault database (7) stores fault data corresponding to the energy consumption monitoring data and provides information for the data processing module (5);
the learning module (8) is used for storing energy consumption monitoring data, fault data and processing information corresponding to the console (9) and providing information for the console (9);
and the console (9) observes fault information and energy consumption monitoring information and issues corresponding instructions to different transport equipment (1) for regulation and control.
2. The transportation energy consumption big data information processing system according to claim 1, characterized by comprising the steps of:
s1: energy consumption information is obtained through an energy consumption monitoring module (2);
s2: filtering the information through a preprocessing module (3) and an information filtering module (4);
s3: comparing the monitoring information with an energy consumption monitoring database (6) through a data processing module (5) to obtain the same information;
s4: the matching information in the energy consumption monitoring database (6) is imported into the fault database (7), so that corresponding fault information is searched and sent to the learning module (8) for storage;
s5: the information is sent to the transportation equipment (1) through the control console (9), and the regulation and control of the transportation equipment (1) are completed.
3. The transportation energy consumption big data information processing system according to claim 2, wherein the learning module (8) sends the saved information to the console (9) when the same data is encountered a plurality of times in step S4.
4. The transportation energy consumption big data information processing system according to claim 2, wherein the information is sent to the console (9) in step S4 when a problem exceeding the energy consumption monitoring database (6) is encountered.
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