CN103487125B - Method and system for remote vehicle deadweight detection - Google Patents
Method and system for remote vehicle deadweight detection Download PDFInfo
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- CN103487125B CN103487125B CN201310463804.0A CN201310463804A CN103487125B CN 103487125 B CN103487125 B CN 103487125B CN 201310463804 A CN201310463804 A CN 201310463804A CN 103487125 B CN103487125 B CN 103487125B
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Abstract
The invention discloses a method and system for remote vehicle deadweight detection. The method comprises the steps that A1 a vehicle deadweight module collects vehicle deadweight characteristic information in real time and sends the vehicle deadweight characteristic information to a cloud server, A2 the cloud server carries out data storage, analysis and matching on the vehicle deadweight characteristic information and outputs a matching result to a control center, and A3 the control center carries out monitoring and reminding on vehicle load bearing conditions. The vehicle deadweight characteristic information can be collected in real time and output to the cloud server, after the cloud server carries out data storage, analysis and matching, changing conditions of the weight of a vehicle and vehicle deadweight information in the running process is remotely detected, the judge accuracy rate can be improved based on data matching after cloud calculation, and remote monitoring and early-warning purposes are achieved.
Description
Technical field
The present invention relates to a kind of remote detecting method and system, especially relate to a kind of remote vehicle deadweight detection and system.
Background technology
All the time, vehicle overload overload transportation all causes high risks to traffic safety, transport market, induces a large amount of traffic safety accident, causes massive losses to people's lives and properties.Badly damaged highway infrastructures, causes huge loss to country.Overload of vehicle result in the harmful competition of Market of Roadway Transportation, causes vehicle " large ton small tenon " to spread unchecked.Destroy normal social economic order, also seriously jeopardize the security of the lives and property of the country and people.For now, the existing measurement to overloaded vehicle, major part utilizes large-scale weighbridge or under known automobile axle load prerequisite, utilizes the weight of monolateral truck scale to automobile to measure.But these two kinds of detection methods, all need to carry out independent measurement to monitor vehicle, and efficiency is very low, needs manpower and the time of at substantial, this does not reach the fast development in city and the scale requirements of vehicle flowrate far away.These two kinds of detection methods often have a large amount of fish that has escape the net simultaneously, cause serious hidden trouble of traffic.Simultaneously vehicle occurs that in operation process article are lost also is the vehicle that a big traffic hidden danger, particularly highway is run at high speed, and comes off to be absolutely unsafe concerning other vehicles travelled as occurred article.Particularly continue in that traveling to come off the vehicle of article, if driver is not warned timely, make corresponding process, consequence is hardly imaginable.
Summary of the invention
The object of the invention is to overcome above-mentioned deficiency of the prior art, a kind of remote vehicle deadweight detection and system are provided, the method and system can realize carrying out real time monitoring to the load condition of driving vehicle, carrying out judgement to report to the police when there is automobile overload or have article to come off, effectively ensure that road driving safety.
The embodiment of the present invention provides a kind of remote vehicle deadweight detection, comprising:
A1, the vehicle-mounted characteristic information of vehicle module Real-time Collection, and described vehicle-mounted characteristic information is sent to Cloud Server;
A2, described Cloud Server carry out data storage, analysis and coupling to described vehicle-mounted characteristic information, and the result after coupling is outputted to control center;
A3, described control center carry out monitoring and early warning to vehicle load-bearing conditions.
Correspondingly, the embodiment of the present invention also provides a kind of vehicle load remote detecting system, comprising:
Vehicle module, is sent to Cloud Server for the vehicle-mounted characteristic information of Real-time Collection by described vehicle-mounted characteristic information;
Cloud Server, for carrying out data storage, analysis and coupling to described vehicle-mounted characteristic information; And the data after process are outputted to control center;
Control center carries out monitoring and early warning to vehicle load-bearing conditions.
A kind of remote vehicle deadweight detection that the embodiment of the present invention provides and system, can the vehicle-mounted characteristic information of Real-time Collection, and above-mentioned information is exported to Cloud Server, after being undertaken storing, analyze and mate by Cloud Server, the situation of change of remote detection vehicle own wt and on-vehicle information in the process of moving, judging nicety rate can be improved based on the Data Matching of cloud computing, and realize remote monitoring and early warning object by control center.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of remote vehicle deadweight detection embodiment one of the present invention;
Fig. 2 is a schematic diagram of a kind of vehicle load remote detecting system of the present invention;
Fig. 3 is another schematic diagram of a kind of vehicle load remote detecting system of the present invention;
Fig. 4 is another schematic diagram of a kind of vehicle load remote detecting system of the present invention;
Fig. 5 is another schematic diagram of a kind of vehicle load remote detecting system of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
A kind of remote vehicle deadweight detection and system is provided in the embodiment of the present invention, its main thought is Real-time Collection vehicle load-bearing information and characteristic information, and above-mentioned information is exported to Cloud Server, after being undertaken storing, analyze and mate by Cloud Server, the situation of change of remote detection vehicle own wt and on-vehicle information in the process of moving, effectively carry out Data Matching by the large data processing function of Cloud Server and can improve judging nicety rate, thus realize quick and precisely remote monitoring and control object.Below be described in detail respectively.
Embodiment of the method one:
As shown in Figure 1, the invention provides a kind of remote vehicle deadweight detection, comprise the following steps:
Vehicle-mounted characteristic information is also sent to Cloud Server by the vehicle-mounted characteristic information of A1, Real-time Collection;
In this step, collection period is decided to be 2 minutes.
In this step, vehicle-mounted characteristic information comprises vehicle load-bearing information and vehicle characteristic information, wherein vehicle characteristic information comprises: vehicle motor frequency, throttle noise energy, axle torque and load, tyre curvature radius and tire and contact area of ground, and above-mentioned vehicle characteristic information all can identify of vehicle load and revise; Wherein axle torque and load are obtained by axle torque and load sensor, and tyre curvature radius and contact area can be extracted by video monitoring supplemental characteristic, calculate through Cloud Server image recognition.
A2, Cloud Server carry out data storage, analysis and coupling to vehicle-mounted characteristic information; And the result after coupling is outputted to control center;
In this step, Cloud Server carries out data analysis to described vehicle-mounted characteristic information and comprises pre-service and feature extraction, described pre-service comprises mark one process (facilitating data identification to same dimension by the characteristic unification under different scalar), Data Dimensionality Reduction (because vehicle-mounted characteristic information comprises especially big multidimensional information, need to reduce data dimension, improve data accuracy), described feature extraction comprises redundance and extracts (removing redundant information, the useful information that information extraction entropy is larger), correlation analysis, non-linear extraction.
In this step, Cloud Server carries out Data Matching to described vehicle-mounted characteristic information and comprises the vehicle-mounted feature set of data referencing through pre-service and feature extraction, and wherein vehicle-mounted feature set comprises vehicle model collection, contour of the vehicle collection, onboard sensor collection, human pilot collection, vehicle driving license appraise and decide load-carrying collection, current road allows load-bearing collection etc., carry out tagsort, ownership judges and classifier evaluation.Wherein, tagsort comprises the sorter based on template matches, the sorter based on Hidden Markov Model (HMM), sorter based on artificial neural network and support vector machine, ownership judges to be used for Data Matching, namely match that load-carrying is normal, the load-carrying that exceeds the quata, slightly fall slag, moderate falls slag, severe falls slag and this few classification of major accident, classifier evaluation is calibrated the robustness judged, meets Dynamic Matching function.
A3, control center carry out monitoring and early warning to vehicle load-bearing conditions.
In this step, above-mentioned control center carries out monitoring and reminding to vehicle load-bearing conditions, early warning under comprising the monitoring under the load condition that exceeds the quata and/or falling slag situation, monitoring under the above-mentioned load condition that exceeds the quata comprises Cloud Server determination vehicle position, to exceed the quata described in transmission the control center of load condition to relevant range, by control center, described vehicle is monitored; Early warning under the above-mentioned load condition that exceeds the quata comprises control center and information is sent to described car-mounted terminal, carries out phonetic warning prompting by car-mounted terminal.
In embodiment of the method two, the present embodiment, vehicle belongs to cargo vehicle, and is in overload condition.
B1, vehicle module Real-time Collection vehicle load-bearing information and characteristic information;
In this step, by weight sensor collection vehicle load-bearing information, by information acquisition unit collection vehicle characteristic information, because vehicle in the present embodiment is cargo vehicle, vehicle characteristic information comprises: vehicle motor frequency, throttle noise energy, axle torque and load, tyre curvature radius and tire and contact area of ground.
Above-mentioned vehicle load-bearing information and characteristic information are sent to Cloud Server by B2, vehicle module;
B3, Cloud Server carry out data storage, analysis and coupling to vehicle load-bearing information and characteristic information, if there is overload, then result are outputted to control center;
According to " assert vehicle overload overload standard " 1. diaxon vehicle, its car goods gross weight is more than 20 tons; 2. six-wheel vehicle, (duplex axle according to 2 axles calculate, three shaft couplings according to 3 axles calculate, lower same) of its car goods gross weight more than 30 tons; 3. four-axle vehicle, its car goods gross weight is more than 40 tons; 4. 5-axle car, its car goods gross weight is more than 50 tons; 5. six axles and the above vehicle of six axles, its car goods gross weight is more than 55 tons; 6. though do not exceed above-mentioned 5 kinds of situations, loading mass exceedes driving license and appraises and decides mounted mass more than 30%.
In this step, data are stored, obtain data value after pre-service and feature extraction and be:, tagsort, comparison is carried out with vehicle-mounted feature set, vehicle-mounted feature set comprises the rolling stock information stored in Cloud Server, and described information of vehicles comprises vehicle essential information, vehicle dynamic information, vehicle-posture information.Because vehicle in the present embodiment belongs to 2 axle cars, and it has exceeded 20 tons of standards in " assert the standard of vehicle overload overload " by the vehicle load-bearing information that weight sensor obtains, therefore the ownership judged result of mating in the present embodiment is the load-carrying that exceeds the quata.
B3, described control center monitor overload of vehicle situation.
In this step, Cloud Server, according to the positioning unit on vehicle module, determines vehicle position, associated vehicle overload condition is issued to the control center of relevant range, is monitored by control center to vehicle.
In embodiment of the method three, the present embodiment, vehicle belongs to dump truck, and midway has occurred falling slag situation.
C1, vehicle module Real-time Collection vehicle load-bearing information and characteristic information; In this step, vehicle module gathered once vehicle-mounted characteristic information every 2 minutes.
Above-mentioned vehicle-mounted characteristic information is sent to Cloud Server by C2, vehicle module;
In this step, in the present embodiment, vehicle-mounted characteristic information comprises vehicle load-bearing information and vehicle characteristic information, and vehicle characteristic information comprises vehicle motor frequency, throttle noise energy, axle torque and load, tyre curvature radius and tire and contact area of ground.
C3, Cloud Server carry out data storage, analysis and coupling to vehicle load-bearing information and characteristic information, judge whether vehicle load-bearing information change scope is in secure threshold, if beyond secure threshold, then result is outputted to control center; In the present embodiment, secure threshold is determined by vehicle characteristic information, is specially: exceed vehicle and appraise and decide load value and exceed track and forever permitted current load value and be considered as overweight, given the alarm to control center and car-mounted terminal; Described fall slag scope comprise vehicle-mounted road load-carrying, non-normal stop goods reduce, vehicle load is less than original vehicle load-carrying scope 0.1% and is considered as slightly falling slag, be less than original vehicle load-carrying scope 0.5% to belong to moderate and fall slag, be less than original vehicle load-carrying scope 1% to belong to severe and fall slag, be greater than original vehicle load-carrying scope 1% and belong to major accident.
C4, control center fall slag situation to vehicle and carry out early warning prompting.
In the present embodiment, fall slag owing to belonging to severe, information is sent to car-mounted terminal by control center, carries out phonetic warning prompting by car-mounted terminal.Control center is according to the positioning unit of car-mounted terminal simultaneously, determines vehicle location, carries out road safety monitoring.
Device embodiment one:
The invention provides a kind of vehicle load remote detection device, as shown in Figure 2, comprising:
Vehicle module, is sent to Cloud Server for the vehicle-mounted characteristic information of Real-time Collection by described vehicle-mounted characteristic information;
Cloud Server, for carrying out data storage, analysis and coupling to described vehicle-mounted characteristic information; And the data after process are outputted to control center;
Control center carries out monitoring and reminding to vehicle load-bearing conditions.
Device embodiment two:
The invention provides a kind of vehicle load remote detection device, as shown in Figure 3,
Described vehicle-mounted characteristic information comprises vehicle load-bearing information and vehicle characteristic information;
Wherein, vehicle module comprises: weight sensor, information acquisition unit, vehicular control unit and wireless communication unit, and weight sensor is used for collection vehicle load-bearing information and outputs to vehicular control unit; Information acquisition unit is used for collection vehicle characteristic information and outputs to vehicular control unit; Vehicular control unit is used for described vehicle load-bearing information and characteristic information to be input to wireless communication unit; Wireless communication unit is used for vehicle load-bearing information and characteristic information to be sent to described Cloud Server.
Device embodiment three:
The invention provides a kind of vehicle load remote detection device, as shown in Figure 4, wherein, Cloud Server comprises storage unit, analytic unit and matching unit,
Described storage unit is used for receiving and storing data;
Described analytic unit is used for carrying out data analysis to described vehicle-mounted characteristic information and comprises pre-service and feature extraction, and described pre-service comprises mark one process, Data Dimensionality Reduction, and described feature extraction comprises redundance extraction, correlation analysis, non-linear extraction;
Described matching unit be used for described vehicle-mounted characteristic information carry out Data Matching comprise to through pre-service and feature extraction the vehicle-mounted feature set of data referencing, carry out tagsort, ownership judge and classifier evaluation.
Device embodiment four:
The invention provides a kind of vehicle load remote detection device, as shown in Figure 5, wherein control center comprises wireless communication unit, control module and administrative unit, and described wireless communication unit is used for communicating with vehicle module; Described control module is used for carrying out alternately with Cloud Server; Described administrative unit is for showing information of vehicles.
Further, car-mounted terminal also comprises positioning unit and audio alert unit, wherein positioning unit can adopt GPS, dipper system or Galileo device to realize, wherein the audio alert unit information laggard lang sound early warning that receiving control center and send.
The control channel detection method provided the embodiment of the present invention above and device are described in detail, apply specific case herein to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. a remote vehicle deadweight detection, is characterized in that, comprising:
A1, the vehicle-mounted characteristic information of vehicle module Real-time Collection, and described vehicle-mounted characteristic information is sent to Cloud Server;
A2, described Cloud Server carry out data storage, analysis and coupling to described vehicle-mounted characteristic information, and the result after coupling is outputted to control center;
A3, described control center carry out monitoring and early warning to vehicle load-bearing conditions;
Described Cloud Server carries out data analysis to described vehicle-mounted characteristic information and comprises pre-service and feature extraction, and described pre-service comprises mark one process, Data Dimensionality Reduction, and described feature extraction comprises redundance extraction, correlation analysis, non-linear extraction.
2. a kind of remote vehicle deadweight detection as claimed in claim 1, it is characterized in that, described vehicle-mounted characteristic information comprises: vehicle load information and vehicle characteristic information, and described vehicle characteristic information comprises: vehicle motor frequency, throttle noise energy, axle torque and load, tyre curvature radius and tire and contact area of ground.
3. a kind of remote vehicle deadweight detection as claimed in claim 1, it is characterized in that, described Cloud Server to described vehicle-mounted characteristic information carry out Data Matching comprise to through pre-service and feature extraction the vehicle-mounted feature set of data referencing, carry out tagsort, ownership judge and classifier evaluation.
4. a kind of remote vehicle deadweight detection as claimed in claim 3, is characterized in that, described tagsort comprises the sorter based on template matches, the sorter based on Hidden Markov Model (HMM), sorter based on artificial neural network and support vector machine.
5. a kind of remote vehicle deadweight detection as claimed in claim 3, is characterized in that, described ownership judgement comprises that load-carrying is normal, the load-carrying that exceeds the quata, slightly fall slag, moderate falls slag, severe falls slag and major accident.
6. a kind of remote vehicle deadweight detection as claimed in claim 1, it is characterized in that, described control center carries out monitoring and early warning to vehicle load-bearing conditions, early warning under comprising the monitoring under the load condition that exceeds the quata and/or falling slag situation, monitoring under the described load condition that exceeds the quata comprises Cloud Server determination vehicle position, to exceed the quata described in transmission the control center of load condition to relevant range, by control center, described vehicle is monitored; Early warning under the described load condition that exceeds the quata comprises control center and information is sent to described vehicle module, carries out phonetic warning prompting by vehicle module.
7. a vehicle load remote detecting system, is characterized in that, comprising:
Vehicle module, is sent to Cloud Server for the vehicle-mounted characteristic information of Real-time Collection by described vehicle-mounted characteristic information;
Cloud Server, for carrying out data storage, analysis and coupling to described vehicle-mounted characteristic information; And the data after process are outputted to control center;
Control center carries out monitoring and early warning to vehicle load-bearing conditions;
Described Cloud Server comprises analytic unit, and described analytic unit is used for carrying out data analysis to described vehicle-mounted characteristic information and comprises pre-service and feature extraction; Described pre-service comprises mark one process, Data Dimensionality Reduction, and described feature extraction comprises redundance extraction, correlation analysis, non-linear extraction.
8. a kind of vehicle load remote detecting system as claimed in claim 7, is characterized in that,
Described vehicle-mounted characteristic information comprises vehicle load-bearing information and vehicle characteristic information;
Described vehicle module comprises: weight sensor, information acquisition unit, vehicular control unit and wireless communication unit, and described weight sensor is used for collection vehicle load-bearing information and outputs to vehicular control unit; Described information acquisition unit is used for collection vehicle characteristic information and outputs to vehicular control unit; Described vehicular control unit is used for described vehicle-mounted characteristic information to be input to wireless communication unit; Wireless communication unit is used for described vehicle-mounted characteristic information to be sent to described Cloud Server.
9. a kind of vehicle load remote detecting system as claimed in claim 7, it is characterized in that, described Cloud Server comprises storage unit, analytic unit and matching unit,
Described storage unit is used for receiving and storing data;
Described matching unit be used for described vehicle load-bearing information and characteristic information carry out Data Matching comprise to through pre-service and feature extraction the vehicle-mounted feature set of data referencing, carry out tagsort, ownership judge and classifier evaluation.
10. a kind of vehicle load remote detecting system as claimed in claim 7, it is characterized in that, described control center comprises wireless communication unit, control module and administrative unit,
Described wireless communication unit is used for communicating with vehicle module;
Described control module is used for carrying out alternately with Cloud Server;
Described administrative unit is for showing information of vehicles.
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| CN201310463804.0A CN103487125B (en) | 2013-10-09 | 2013-10-09 | Method and system for remote vehicle deadweight detection |
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| CN105444856A (en) * | 2015-11-12 | 2016-03-30 | 云南电网有限责任公司物流服务中心 | Tire pressure dynamic weighing device based on neural network |
| CN105678862A (en) * | 2016-01-06 | 2016-06-15 | 浪潮集团有限公司 | Freight car detection device based on large data |
| CN105718956A (en) * | 2016-01-26 | 2016-06-29 | 上海经达信息科技股份有限公司 | Overload determining method based on support vector machine |
| CN106918459B (en) * | 2016-06-26 | 2020-02-07 | 哈尔滨明公科技有限公司 | Truck overload judgment method |
| CN107680375B (en) * | 2017-09-29 | 2020-07-17 | 深圳市易成自动驾驶技术有限公司 | Vehicle load calculation method and device and storage medium |
| CN110231077A (en) * | 2018-03-05 | 2019-09-13 | 山西国强高科股份有限公司 | Intelligent weighing system remote monitoring device |
| CN110823339B (en) * | 2018-08-10 | 2021-04-09 | 河南工业大学 | Granary state detection method and system based on two circles of pressure sensors on bottom surface |
| FR3088249B3 (en) * | 2018-11-14 | 2020-10-16 | Michelin & Cie | METHOD OF DETERMINING THE FIRMNESS OF A SOIL |
| CN110361082B (en) * | 2019-06-26 | 2021-05-14 | 麦德荣 | Monitoring system and monitoring method for measuring total weight of vehicle in real time |
| CN110672192A (en) * | 2019-10-10 | 2020-01-10 | 英华达（南京）科技有限公司 | Road surface load monitoring method, device, system, electronic equipment and storage medium |
| CN113155255A (en) * | 2020-01-22 | 2021-07-23 | 四川物软网联科技有限公司 | Vehicle load monitoring system and method and vehicle |
| CN112435463B (en) * | 2020-10-20 | 2022-04-01 | 北京科技大学 | Vehicle type and vehicle weight classification method based on road internet of things monitoring |
| CN112903077B (en) * | 2021-01-26 | 2022-11-29 | 李乐 | Cargo weight remote monitoring system and monitoring method |
| CN112964343A (en) * | 2021-02-07 | 2021-06-15 | 广东电子工业研究院有限公司 | Freight car weighing monitoring system and monitoring method thereof |
| CN112964345A (en) * | 2021-02-07 | 2021-06-15 | 广东电子工业研究院有限公司 | Freight car weighing system and weighing method thereof |
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