CN112597212B - Time sequence data prediction device for road surface induction system - Google Patents
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Abstract
The invention discloses a time sequence data prediction device facing a road surface induction system, which comprises a data access interface, a data output interface, a storage chip interface, a working state indicator light and a fixed support which are arranged on a shell of the time sequence data prediction device, and further comprises an original information relay distribution station, a parameter composer, an information converter, a parameter predictor, a prediction information storage chip and a power supply system which are arranged in the time sequence data prediction device. The invention provides a time sequence data prediction device for a pavement sensing system, which can be deeply adapted to a novel pavement sensing system frame and effectively process and predict time-varying vehicle body and environment data, thereby increasing the effectiveness and accuracy of prediction.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a time sequence data prediction device for a road surface induction system.
Background
The time series data prediction device is a device which learns, analyzes and predicts time series data through a data prediction model and generates a prediction result in real time. Which uses a specific data analysis algorithm or data analysis model to ensure that learning, analysis, and prediction of time series data can produce accurate predictive assessment results. The road sensing system is a system for sensing, monitoring and transmitting data in 7-by-24 hours. The sensor laid under the road is used for monitoring required time sequence data in all weather. The time series data prediction device provides an optimized driving scheme and other related prediction results for the vehicle body and the driver through the prediction analysis of the data.
Most of the existing sensing systems are oriented to the traditional sensing architecture in most applications, such as vehicle body sensing or satellite remote sensing, but with the further development of the internet of things, such as the internet of vehicles, the existing sensing systems cannot be separated from signal transmission of satellites, so that the vehicle body has insufficient strain or loses the driving scheme under extreme conditions. Therefore, the time sequence data prediction device developed for the traditional sensing system framework is not suitable for the novel sensing system framework.
Based on the time sequence data prediction device, the time sequence data prediction device for the road surface induction system is designed to solve the problem of time sequence data prediction on a novel induction system framework.
Disclosure of Invention
The invention aims to solve the technical problems and provides a time sequence data prediction device for a road surface induction system, which is used for effectively and accurately learning, analyzing and predicting vehicle body and environment data generated along with the deepening of time and generating an accurate prediction and evaluation result.
In order to achieve the purpose, the invention adopts the following technical scheme:
a time sequence data prediction device facing a road surface induction system comprises a data access interface, a data output interface, a storage chip interface, a working state indicator lamp and a fixed support which are arranged on a shell of the time sequence data prediction device, and further comprises an original information relay distribution station, a parameter composer, an information converter, a parameter predictor, a prediction information storage chip and a power supply system which are arranged in the time sequence data prediction device;
the data access interface is in signal connection with access points laid on each sensor module under the road surface;
the original information relay distribution station is used for detecting and processing original data input by the data access interface and sending the original data to the information converter;
the information converter is used for converting the data information into a readable data type and sending the readable data type to the parameter predictor;
the parameter composer is used for receiving the prediction parameters sent by the user, forming a prediction parameter list and sending the prediction parameter list to the parameter predictor;
the parameter predictor is used for predicting and arranging data to generate a prediction result;
the prediction information storage chip is used for storing and integrating prediction results and sending the prediction results to the vehicle body through the data output interface.
As a further optimization of the technical scheme, an information safety detection unit and a relay distribution unit are arranged in the original information relay distribution station; the input end of the information safety detection unit is electrically connected with the data input interface, and the output end of the relay distribution unit is electrically connected with the input end of the information converter.
As a further optimization of the technical scheme, an information conversion unit is arranged in the information converter; the input end of the information conversion unit is electrically connected with the original information relay distribution station, and the output end of the information conversion unit is electrically connected with the input end of the parameter predictor.
As a further optimization of the technical scheme, a prediction parameter setting unit and a prediction parameter management unit are arranged in the parameter composer; the input end of the prediction parameter setting unit is electrically connected with the data input interface, the output end of the prediction parameter setting unit is electrically connected with the first input end of the prediction parameter management unit, the second input end of the prediction parameter management unit is electrically connected with the data input interface, and the output end of the prediction parameter management unit is electrically connected with the parameter predictor.
As a further optimization of the technical scheme, a parameter prediction internal distribution unit, a prediction test unit, a time sequence data arrangement unit, a prediction core and a prediction result output unit are arranged in the parameter predictor;
the input end of the parameter prediction internal distribution unit is electrically connected with the output ends of the parameter composer and the information converter respectively, the output end of the parameter prediction internal distribution unit is electrically connected with the prediction test unit, the time sequence data arrangement unit and the prediction core, the prediction test unit, the time sequence data arrangement unit and the prediction core realize bidirectional interconnection to form a core prediction system, the output end of the prediction core is electrically connected with the prediction result output unit, and the output end of the prediction result output unit is electrically connected with the input end of the prediction information storage chip.
As a further optimization of the technical scheme, a historical prediction information storage unit and a prediction result integration unit are arranged in the prediction information storage chip;
the input end of the historical prediction information storage unit is electrically connected with the first output end of the parameter predictor, the input end of the prediction result integration unit is electrically connected with the second output end of the parameter predictor, and the output end of the prediction result integration unit is electrically connected with the data output interface.
The beneficial effects of the invention are as follows:
the invention provides a time sequence data prediction device facing a road sensing system, which can collect vehicle body and environment data through various sensor modules and transmit the vehicle body and environment data into the time sequence data prediction device through an access point, convert information into readable data in different information converters through the distribution of an original information relay distribution station, and generate a prediction result in a parameter predictor by referring to a preset prediction parameter model. And finally, giving an optimal prediction result scheme and other related prediction schemes to the vehicle body through the reprocessing of the prediction information storage chip. Compared with the traditional method, the method can deeply adapt to the novel pavement sensing system framework and effectively process and predict time-varying vehicle body and environment data, so that the prediction effectiveness and accuracy are improved.
Drawings
FIG. 1 is a schematic diagram of an external structure of a time series data prediction device according to the present invention;
FIG. 2 is a schematic diagram of the internal structure of the time series data prediction apparatus of the present invention;
FIG. 3 is a schematic diagram illustrating the internal data flow of the time series data prediction apparatus of the present invention;
FIG. 4 is a block diagram illustrating the internal flow of the original message relay distribution station of the time series data prediction apparatus of the present invention;
FIG. 5 is a block diagram illustrating the internal flow of the information converter of the time series data prediction apparatus according to the present invention;
FIG. 6 is a block diagram of the internal flow of the parameter composer of the time series data prediction device according to the present invention;
FIG. 7 is a block diagram illustrating the internal flow of a parameter predictor of the temporal data prediction apparatus according to the present invention;
FIG. 8 is a schematic diagram illustrating an internal data flow of a parameter predictor of the time series data prediction device of the present invention;
FIG. 9 is a block diagram illustrating the internal flow of the prediction information storage chip of the time series data prediction apparatus according to the present invention;
fig. 10 is a schematic view of a road surface sensing system connection structure of the time series data prediction apparatus of the present invention.
In the figure: 1. a data input interface; 2. a data output interface; 3. a memory chip interface; 4. a working state indicator light; 5. fixing a bracket; 6. original information relay distribution station; 7. a parameter composer; 8. an information converter; 9. a parameter predictor; 10. a prediction information storage chip; 11. an information security detection unit; 12. a relay distribution unit; 13. an information conversion unit; 14. a prediction parameter setting unit; 15. a prediction parameter management unit; 16. a parameter prediction internal allocation unit; 17. a prediction test unit; 18. a time series data arrangement unit; 19. a prediction core; 20. a prediction result output unit; 21. a history prediction information storage unit; 22. a prediction result integration unit; 23. a sensor module; 24. an access point.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The invention provides a time sequence data prediction device facing a pavement sensing system, which comprises an inner structure and an outer structure as shown in figures 1 and 2, wherein a data access interface 1, a data output interface 2, a storage chip interface 3, a working state indicator lamp 4 and a fixed support 5 are arranged on the outer structure. The inner structure is provided with an original information relay distribution station 6, an information converter 8, a parameter composer 7, a parameter predictor 9, a prediction information storage chip 10 and a power supply system. The inner structure is also provided with a power supply system which is respectively and electrically connected with the original information relay distribution station 6, the information converter 8, the parameter composer 7, the parameter predictor 9, the prediction information storage chip 10 and the working state indicator lamp 4 to provide electric energy. As shown in fig. 10, the data access interface 1 of the device is in signal connection with the access points 24 laid on each sensor module 23 under the road surface, and data sent by a user or collected from the sensor module 23 by each access point 24 is transmitted into the time series data prediction device through the data input interface 1. The original information relay distribution station 6 is used for detecting and processing the original data input by the data access interface 1 and sending the original data to the information converter 8. The information converter 8 is used for converting the data information into readable data types and sending the readable data types to the parameter predictor 9. The parameter composer 7 is used for receiving the prediction parameters sent by the user and forming a prediction parameter list to be sent to the parameter predictor 9. The parameter predictor 9 is used for predicting and arranging data to generate a prediction result. The prediction information storage chip 10 is used for storing and integrating prediction results and sending the prediction results to the vehicle body through the data output interface 2.
As shown in fig. 3, the data flow inside the device, the time sequence data is transmitted to the original information relay distribution station 6 and the parameter composer 7 through the data input interface 1, and is transmitted to the information converter 8 and the parameter predictor 9 through being transmitted to the original information relay distribution station 6 and the parameter composer 7, respectively. The information converter 8 also transmits the data further to the parameter predictor 9. The prediction data generated by the parameter predictor 9 is sent to the prediction information storage chip 10 and transmitted to the vehicle body from the data output interface 2 after being subjected to deep processing.
Specifically, as shown in fig. 4, the original information relay distribution station 6 in the present embodiment is provided with an information security detection unit 11 and a relay distribution unit 12, wherein an input end of the information security detection unit 11 is electrically connected to the data input interface 1, and an output end of the relay distribution unit 12 is electrically connected to the information converter 8. The data sent by the user or collected from the sensor module 23 by each access point 24 is transmitted into the original information relay distribution station 6, the information security detection unit 11 in the original information relay distribution station 6 detects the information security from the outside and further sends the secure information to the relay distribution unit 12, the relay distribution units 12 process different data information in the original information relay distribution station 6, and the relay distribution unit 12 is responsible for sending the different data information to the information converter 8 for further processing.
As shown in fig. 5, an information conversion unit 13 is disposed in the information converter 8, an input end of the information conversion unit 13 is electrically connected to the original information relay distribution station 6, and an output end of the information conversion unit 13 is electrically connected to the parameter predictor 9. Through the distribution of the original information relay distribution station 6, the collected data information is converted into readable data types on a plurality of information conversion units 13 in a plurality of information converters 8 for different data information and is sent to a parameter predictor 9 for further processing.
As shown in fig. 6, the parameter composer 7 is provided with a prediction parameter setting unit 14 and a prediction parameter management unit 15, wherein an input terminal of the prediction parameter setting unit 14 is electrically connected to the data input interface 1, an output terminal of the prediction parameter setting unit 14 is electrically connected to the prediction parameter management unit 15, an input terminal of the prediction parameter management unit 15 is electrically connected to the data input interface 1 and the prediction parameter setting unit 14, and an output terminal of the prediction parameter management unit 15 is electrically connected to the parameter predictor 9. The prediction parameter setting unit 14 in the parameter composer 7 is used for reading the parameter setting change of the user in real time and sending the parameter setting change to the prediction parameter management unit 15, and a part of the same user parameter setting information from the data input interface 1 is directly sent to the prediction parameter management unit 15, if the user does not change the parameter setting, and the prediction parameter management unit 15 is responsible for sending a preset prediction parameter list to the parameter predictor 9 for further reference.
As shown in fig. 7, a parameter prediction internal distribution unit 16, a prediction test unit 17, a time series data arrangement unit 18, a prediction core 19, and a prediction result output unit 20 are provided in the parameter predictor 9; the input terminal of the parameter prediction internal distribution unit 16 is electrically connected to the parameter composer 7 and the information converter 8, and the output terminal of the parameter prediction internal distribution unit 16 is electrically connected to the prediction test unit 17, the timing data arrangement unit 18, and the prediction core 19. The prediction test unit 17, the time sequence data arranging unit 18 and the prediction core 19 realize bidirectional interconnection to form a core prediction system. The output end of the prediction core 19 is electrically connected to the prediction result output unit 20, and the output end of the prediction result output unit 20 is electrically connected to the prediction information storage chip 10. By accepting the preset prediction parameters from the parameter composer 7 and the readable data information from the information converter 8, different information is distributed to the prediction system consisting of the prediction test unit 17, the time series data arrangement unit 18 and the prediction core 19 at the parameter prediction internal distribution unit 16. The prediction test is performed by the prediction test unit 17 based on a preset model, and the prediction of data is integrally arranged by the time sequence data arrangement unit 18 based on time sequence, and finally a prediction result is generated by the prediction core 19. The generated prediction result is output to the prediction information storage chip 10 through the prediction result output unit 20 for further processing.
As shown in fig. 8, in the data flow inside the parameter predictor 9, data is transmitted to the parameter prediction internal allocation unit 16 in the parameter predictor 9 through the parameter composer 7 and the information converter 8. The parameter prediction internal distribution unit 16 is responsible for sending data to a core prediction system composed of a prediction test unit 17, a time sequence data arrangement unit 18 and a prediction core 19. The core prediction system data formed by the prediction test unit 17, the time sequence data arranging unit 18 and the prediction core 19 are interconnected and finally the prediction result scheme data generated in the prediction core 19 is pushed to the prediction result output unit 20 and sent to the prediction information storage chip 10.
In addition, the prediction information memory chip 10 can perform an insertion/extraction operation through the memory chip interface 3. As shown in fig. 9, a history prediction information storage unit 21 and a prediction result integration unit 22 are provided in the prediction information storage chip 10; the input end of the historical prediction information storage unit 21 is electrically connected with the parameter predictor 9, the input end of the prediction result integration unit 22 is electrically connected with the parameter predictor 9, and the output end of the prediction result integration unit 22 is electrically connected with the data output interface 2. The historical prediction information storage unit 21 is used for storing historical prediction results from the parameter predictor 9, and the prediction result integration unit 22 is used for integrating the prediction results from the parameter predictor 9 according to the vehicle body information and sending a prediction result scheme to the vehicle body through the data output interface 2.
The invention provides a time sequence data prediction device for a road surface induction system, which has the working principle that: in use, vehicle body or environmental data is first collected by the sensor module 23 present under the road surface and sent to the data input interface 1 on the time series data prediction apparatus via the access point 24. The original data is transmitted to the original information relay distribution station 6 through the data input interface 1, and the information security detection unit 11 in the original information relay distribution station 6 detects the security of information from the outside. And transmits the secure information to the relay distribution unit 12. The plurality of relay distribution units 12 process different data information in the original information relay distribution station 6. The relay distribution unit 12 is responsible for sending different data information to the information converter 8. The information converter 8 converts the collected data information into readable data types through the information conversion unit 13 and sends the readable data types to the parameter predictor 9. At the same time, the predicted parameter setting information sent by the user can be transmitted to the parameter composer 7 via the data input interface 1. The prediction parameters are set by a prediction parameter setting unit 14 in the parameter composer and a prediction parameter list is generated by a prediction parameter managing unit 15 and sent to the parameter predictor 9. The parameter prediction internal distribution unit 16 on the parameter predictor 9 distributes different information to the prediction system consisting of the prediction test unit 17, the timing data arrangement unit 18 and the prediction core 19. The prediction test is performed by the prediction test unit 17 based on a preset model, the prediction of data is integrally arranged by the time sequence data arrangement unit 18 based on time sequence, and finally, a prediction result is generated by the prediction core 19. The generated prediction result is output to the prediction information storage chip 10 through the prediction result output unit 20. The historical prediction information storage unit 21 on the prediction information storage chip 10 is used for storing the prediction results from the parameter predictor 9, and the prediction result integration unit 22 is used for integrating the prediction results from the parameter predictor 9 according to the vehicle body information and sending the prediction result scheme to the corresponding vehicle body through the data output interface 2.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (3)
1. A time sequence data prediction device facing a road surface induction system comprises a data access interface (1), a data output interface (2), a storage chip interface (3), a working state indicator lamp (4) and a fixed support (5) which are arranged on a shell of the time sequence data prediction device, and is characterized by further comprising an original information relay distribution station (6), a parameter orchestrator (7), an information converter (8), a parameter predictor (9), a prediction information storage chip (10) and a power supply system which are arranged in the time sequence data prediction device;
the data access interface (1) is in signal connection with access points (24) laid on each sensor module (23) under the road surface;
the original information relay distribution station (6) is used for detecting and processing original data input by the data access interface (1) and sending the original data to the information converter (8);
the information converter (8) is used for converting the data information into readable data types and sending the readable data types to the parameter predictor (9);
the parameter composer (7) is used for receiving the prediction parameters sent by the user, forming a prediction parameter list and sending the prediction parameter list to the parameter predictor (9);
a prediction parameter setting unit (14) and a prediction parameter management unit (15) are arranged in the parameter composer (7); the input end of the prediction parameter setting unit (14) is electrically connected with the data access interface (1), the output end of the prediction parameter setting unit (14) is electrically connected with the first input end of the prediction parameter management unit (15), the second input end of the prediction parameter management unit (15) is electrically connected with the data access interface (1), and the output end of the prediction parameter management unit (15) is electrically connected with the parameter predictor (9);
the parameter predictor (9) is used for predicting and arranging data to generate a prediction result;
a parameter prediction internal distribution unit (16), a prediction test unit (17), a time sequence data arrangement unit (18), a prediction core (19) and a prediction result output unit (20) are arranged in the parameter predictor (9);
the input end of the parameter prediction internal distribution unit (16) is electrically connected with the output ends of the parameter orchestrator (7) and the information converter (8), the output end of the parameter prediction internal distribution unit (16) is electrically connected with the prediction test unit (17), the time sequence data orchestration unit (18) and the prediction core (19), the prediction test unit (17), the time sequence data orchestration unit (18) and the prediction core (19) are interconnected in a bidirectional mode to form a core prediction system, the output end of the prediction core (19) is electrically connected with the prediction result output unit (20), and the output end of the prediction result output unit (20) is electrically connected with the input end of the prediction information storage chip (10);
the prediction information storage chip (10) is used for storing and integrating prediction results and sending the prediction results to the vehicle body through the data output interface (2);
a historical prediction information storage unit (21) and a prediction result integration unit (22) are arranged in the prediction information storage chip (10);
the input end of the historical prediction information storage unit (21) is electrically connected with the first output end of the parameter predictor (9), the input end of the prediction result integration unit (22) is electrically connected with the second output end of the parameter predictor (9), and the output end of the prediction result integration unit (22) is electrically connected with the data output interface (2).
2. The time series data prediction device facing the road surface sensing system is characterized in that an information safety detection unit (11) and a relay distribution unit (12) are arranged in the original information relay distribution station (6); the input end of the information safety detection unit (11) is electrically connected with the data access interface (1), and the output end of the relay distribution unit (12) is electrically connected with the input end of the information converter (8).
3. The time series data prediction device for the road surface induction system according to claim 2, characterized in that an information conversion unit (13) is arranged in the information converter (8); the input end of the information conversion unit (13) is electrically connected with the original information relay distribution station (6), and the output end of the information conversion unit (13) is electrically connected with the input end of the parameter predictor (9).
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