CN105444856A - Tire pressure dynamic weighing device based on neural network - Google Patents
Tire pressure dynamic weighing device based on neural network Download PDFInfo
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- CN105444856A CN105444856A CN201510776018.5A CN201510776018A CN105444856A CN 105444856 A CN105444856 A CN 105444856A CN 201510776018 A CN201510776018 A CN 201510776018A CN 105444856 A CN105444856 A CN 105444856A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/08—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles
- G01G19/086—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles wherein the vehicle mass is dynamically estimated
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L17/00—Devices or apparatus for measuring tyre pressure or the pressure in other inflated bodies
Abstract
A tire pressure dynamic weighing device based on a neural network is characterized in that a sensor module connected with a pressure sensor, a temperature sensor and a level sensor collects data transmitted by the sensors, and transmits the data to a signal compilation and transmission module to realize wireless transmission connection of the sensor data; the signal compilation and transmission module compiles a data signal and then transmits the data signal to a data analysis module, and the data analysis module analyzes the data through a neural network analysis mode and transmits the final analysis result to a system display module; and a data interface module connected with the system display module is responsible for sending the analysis result to a peripheral system. The beneficial effect is as follows: tire pressure, temperature information and other data of different vehicles can be collected, stored and transmitted, the data is finally analyzed through a neural network data analysis model, and the analyzed data is output to the system display module to achieve the purpose of monitoring and pre-warning. Meanwhile, data interfaces are provided for the external system.
Description
Technical field
The invention belongs to analysis of neural network application, comprise sensor application simultaneously.
Background technology
Weighing of energy industry pair and shovel loader is all thought highly of weighing apparatus based on tradition and is weighed over the years, and this mode efficiency comparison is low, and shovel loader needs parking to carry out weight bridge weighing, adds the operation cost of enterprise and reduces production efficiency.
Therefore aobvious particularly important of automatic weighting system is set up.
Summary of the invention
In order to dynamic calculation draw the weight of the goods of vehicle loading fast, prevent vehicle this device realizes dynamic weighing and the early warning of shovel loader tire pressure of shovel loader because overload is caused danger simultaneously.
The present invention is achieved by the following technical solution:
A kind of tire pressure dynamic weigher based on neural network, the present invention is characterised in that: this device collects by the sensor assembly be connected with pressure transducer, temperature sensor, horizontal plane sensor respectively the data that each sensor transmissions comes, and is transferred to signal establishment transport module and connects with the wireless transmission realizing sensing data; Then data-signal establishment is transferred to data analysis module by signal establishment transport module, and last analysis result to data analysis, is transferred to system display module by analysis of neural network mode by analysis module; The data interface module that (under the requirement of some application systems, this device needs externally system to export analysis result data) is connected with system display module is responsible for analysis result to send to peripheral system.
The feature that the present invention also has is:
1) sensor assembly comprises the single-chip microcomputer, radiofrequency emitting module and the power supply that receive transducing signal, and signal combination worked out by single-chip microcomputer, sends the transmission that radiofrequency emitting module carries out signal to;
2) signal establishment transport module comprises signal receiving module, data organization module, data transmission module respectively; Signal establishment transport module receives the information that sensor assembly passes over, and this module plays the effect at data transmission trunking station, and the signal after process is delivered to Data Analysis Services module by wired;
3) data analysis module comprises data collection module, data memory module, analysis of neural network module respectively; Data analysis module first stores after receiving the data transmitted, analysis of neural network module can join in network training process this new data sample afterwards, after data sample reaches a rank, system can use current network to carry out computing, obtain a result and be sent to system display module, and these analysis data are stored, the dependent variable as secondary network bias correction inputs;
4) system display module comprises analysis result display module, system condition display module, systematic analysis process display module, sensing data display module respectively; System display module mainly shows current operation result and the data of vehicle tyre pressure, and this module can point out the current tire pressure of driver whether in normal range simultaneously, whether should reduce load-carrying with reduce blow out may;
5) data interface module comprises data-interface package module, radiofrequency emitting module respectively; Analysis conclusion can externally be transmitted by data interface module, to meet supervisory system or large data analysis system to the requirement of data subset.
The data organization transport module that the present invention is received by the sensor assembly gathered tire pressure and the temperature information data of each tire of vehicle, the data that transmit sensor assembly, signal worked out to data that transport module transmits carry out neural network model analysis and system display module, data-interface sequentially connects to form.
In the present invention, sensor assembly is utilized to be deployed on each tire of shovel loader, respective data organization transport module is transferred to by the signal establishment on sensor, due to the metallic character of shovel loader, so need corresponding data organization transport module to carry out man-to-man data communication in effective radio-frequency region of sensor.
The data that data organization transport module receiving sensor transmits, submit to data analysis module data, the data acquisition in the whole device of primary responsibility and the responsibility of transmission simultaneously.
After data analysis module receives data, data are first carried out persistence process, then new analyzing samples is joined in analytical model and carry out analytical calculation, and analysis result is stored, to carry out secondary network analysis correction carrying out data input.
System demonstration module carries out data exhibiting, and general data is the analysis result of weighing, the pressure and temperature information of vehicle tyre.
Beneficial effect of the present invention: the present invention can to the tire pressure of different vehicle, temperature information, etc. data gather, store, transmit, analyze finally by Neural Network Data analytical model, the data after analyzing are outputted to the object that system display module reaches monitoring, early warning.Simultaneously for external system provides data-interface.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention;
Fig. 2 is detailed construction schematic diagram of the present invention.
Embodiment
As Fig. 1, a kind of tire pressure dynamic weigher based on neural network, vehicle tyre pressure, temperature information data are obtained by sensor assembly, the data of data organization transport module receiving sensor module transfer also store, then send data to the data model analysis that data analysis module carries out neural network, ultimate analysis comparison result is shown at system display module.
As Fig. 2, a kind of tire pressure dynamic weigher based on neural network, primarily of sensor assembly, data organization transport module, data analysis module, system data represents module and data-interface is formed.
Wherein, sensor assembly module comprises pressure transducer, temperature sensor, the data that sensor obtains are transferred to single-chip microcomputer in module and carry out data organization and the preparation before transmitting by this module, and radio frequency transmission module transfers data to corresponding data organization transport module afterwards.
Wherein, data organization transport module comprises signal collection, data organization, data transmission module.Signal collection module resolves the data that sensor assembly is brought, and data organization is carried out in the requirement of correspondence analysis system, sends data to data analysis module finally by data transmission module.
Wherein, data analysis module comprises data neural network model analytic system.Data analysis system comprises data sample, network training model.
The temperature received, tire pressure data are analyzed by Data Analysis Model by electric power geologic data analysis module, then data results are transferred to system data display module.
Claims (2)
1. the tire pressure dynamic weigher based on neural network, it is characterized in that: this device collects by the sensor assembly be connected with pressure transducer, temperature sensor, horizontal plane sensor respectively the data that each sensor transmissions comes, and be transferred to signal establishment transport module and connect with the wireless transmission realizing sensing data; Then data-signal establishment is transferred to data analysis module by signal establishment transport module, and last analysis result to data analysis, is transferred to system display module by analysis of neural network mode by analysis module; The data interface module be connected with system display module is responsible for analysis result to send to peripheral system.
2. a kind of tire pressure dynamic weigher based on neural network according to claim 1, is characterized in that:
1) sensor assembly comprises the single-chip microcomputer, radiofrequency emitting module and the power supply that receive transducing signal, and signal combination worked out by single-chip microcomputer, sends the transmission that radiofrequency emitting module carries out signal to;
2) signal establishment transport module comprises signal receiving module, data organization module, data transmission module respectively; Signal establishment transport module receives the information that sensor assembly passes over, and this module plays the effect at data transmission trunking station, and the signal after process is delivered to Data Analysis Services module by wired;
3) data analysis module comprises data collection module, data memory module, analysis of neural network module respectively; Data analysis module first stores after receiving the data transmitted, analysis of neural network module can join in network training process this new data sample afterwards, after data sample reaches a rank, system can use current network to carry out computing, obtain a result and be sent to system display module, and these analysis data are stored, the dependent variable as secondary network bias correction inputs;
4) system display module comprises analysis result display module, system condition display module, systematic analysis process display module, sensing data display module respectively; System display module mainly shows current operation result and the data of vehicle tyre pressure, and this module can point out the current tire pressure of driver whether in normal range simultaneously, whether should reduce load-carrying with reduce blow out may;
5) data interface module comprises data-interface package module, radiofrequency emitting module respectively; Analysis conclusion can externally be transmitted by data interface module, to meet supervisory system or large data analysis system to the requirement of data subset.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510776018.5A CN105444856A (en) | 2015-11-12 | 2015-11-12 | Tire pressure dynamic weighing device based on neural network |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510776018.5A CN105444856A (en) | 2015-11-12 | 2015-11-12 | Tire pressure dynamic weighing device based on neural network |
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| CN105444856A true CN105444856A (en) | 2016-03-30 |
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| CN201510776018.5A Pending CN105444856A (en) | 2015-11-12 | 2015-11-12 | Tire pressure dynamic weighing device based on neural network |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107562696A (en) * | 2017-09-12 | 2018-01-09 | 齐鲁工业大学 | Tire product quality on-line checking and control method |
| CN107680375A (en) * | 2017-09-29 | 2018-02-09 | 深圳市易成自动驾驶技术有限公司 | A kind of vehicle load computational methods, device and storage medium |
| CN109596201A (en) * | 2018-12-24 | 2019-04-09 | 南京金航特自动化科技有限公司 | A kind of weight sensor data acquisition and analysis system |
| CN113175983A (en) * | 2021-04-29 | 2021-07-27 | 上海睿奈电子科技有限公司 | Monitoring method of intelligent vehicle weight online detection device |
| CN113532609A (en) * | 2021-07-14 | 2021-10-22 | 广东电子工业研究院有限公司 | Vehicle-mounted load detection system and calibration method |
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Cited By (5)
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|---|---|---|---|---|
| CN107562696A (en) * | 2017-09-12 | 2018-01-09 | 齐鲁工业大学 | Tire product quality on-line checking and control method |
| CN107680375A (en) * | 2017-09-29 | 2018-02-09 | 深圳市易成自动驾驶技术有限公司 | A kind of vehicle load computational methods, device and storage medium |
| CN109596201A (en) * | 2018-12-24 | 2019-04-09 | 南京金航特自动化科技有限公司 | A kind of weight sensor data acquisition and analysis system |
| CN113175983A (en) * | 2021-04-29 | 2021-07-27 | 上海睿奈电子科技有限公司 | Monitoring method of intelligent vehicle weight online detection device |
| CN113532609A (en) * | 2021-07-14 | 2021-10-22 | 广东电子工业研究院有限公司 | Vehicle-mounted load detection system and calibration method |
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Application publication date: 20160330 |
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