CN104655245A - System for calculating weight of truck according to tension data - Google Patents
System for calculating weight of truck according to tension data Download PDFInfo
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- CN104655245A CN104655245A CN201310601360.2A CN201310601360A CN104655245A CN 104655245 A CN104655245 A CN 104655245A CN 201310601360 A CN201310601360 A CN 201310601360A CN 104655245 A CN104655245 A CN 104655245A
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Abstract
The invention provides a system for calculating the weight of a truck according to tension data. According to the scheme, a wireless sensor network serves as the front measurement end of dynamic truck weight, and dynamic truck weight parameters are preliminarily acquired by utilizing the advantages of large quantity of sensor network nodes, wide distribution and the like. Then acquired data are processed by utilizing data fusion and processing functions of the sensor network to obtain accurate truck weight. According to the key point of the scheme, the acquired data are fused and processed. The measurement principle of the dynamic truck weight parameters and the fusion algorithm of the data are described in detail according to the invention, and include an error processing method for a plurality of initial data acquired for the wireless sensor network.
Description
Technical field
The invention belongs to field of artificial intelligence, particularly a kind of system according to tension data computer card car weight amount.
Background technology
In recent years, on highway communication line, various haulage vehicle is in order to pursue the maximization of economic interests, frequent overload transportation, and instrument does not bring potential safety hazard to the driving of vehicle, also exerts heavy pressures on to means of transportation simultaneously.Therefore a lot of highway pavement and bridge substantially reduce serviceable life.At present, in order to solve this difficult problem, various places traffic often adopts the mode of surprise check, stops and weighs, detect the phenomenon whether it has overload to passing lorry.But this mode but can not solve overloading wagon problem well.One, parking detection efficiency is extremely low, is easy to cause traffic to gather around cold; Two, checkpoint needs outfit to plough weighing facilities greatly, not easily moves, once set up a lot of vehicle in violation of rules and regulations can detour to avoid checking.Therefore, the best method addressed this problem the vehicle of flexible deployment can stress system to design is a set of, without the need to vehicle parking in measuring process, completes and complete weighing to the weight of lorry in its normal driving process.
This is also currently study very popular dynamic weighing method in the world.But because the dynamic weighing in lorry driving process implements more complicated, its result of weighing is mainly by the impact of extensional vibration etc. factor in the acceleration in the type of vehicle, tire quantity, travel speed, driving process, driving process.At present, more successful dynamic weighing system design error is greatly between 5%-20%, the PAT dynamic weighing system of such as Germany, the WIM dynamic weighing system of the U.S. and the Kistler dynamic weighing system of Switzerland etc.These dynamic weighing systems mainly adopt high-precision pressure transducer to measure vehicle weight, then relevant lorry model is designed, after carrying out modeling analysis, set up the relation between its actual weight and measurement parameter, infer the lorry actual weight in traveling with this.The most key in these system design process is carry out modeling and analysis to lorry, has had longer time integral abroad, and has been verified by actual measurement, establish fairly perfect and effective weighing data Processing Algorithm in this field.But China is also in the starting stage in this field, to the theory of dynamic weighing and correlation model research not deeply, therefore, herein from the ultimate principle of vehicle weighing, put forth effort to study the research to vehicle driving pressure, avoid the analysis to vehicle complex model, propose a kind of implementation of the vehicle dynamic weighing system based on sensor network.
Summary of the invention
Dynamic Vehicle remeasurement principle: the principle of work of the dynamically weighting system in vehicle travel process is the pressure being travelled past tense generation by the pressure transducer collection vehicle being deployed in road surface.The pressure that vehicle travels mainly is divided into two parts, is the pressure that produces sensor of various disturbing factor in the pressure that produces of vehicle self gravitation and driving process respectively.Model for simplifying the analysis, carries out modeling analysis by the pressure condition suffered by single-sensor herein, as shown in Figure 1.In sensor, the pressure suffered by this sensor is respectively vehicle and is split in the pressure and probe own wt that produce in gravity on this sensor, vehicle movement process, and sensor is weighed the pressure that probe quality me produces.The Equivalent damping coefficient of the spring coefficient of stiffiness of pressure transducer to be K, u be sensor.The deformation displacement that S (t) is pressure transducer.M (t) is assigned to the pressure on this sensor for vehicle, mr (t) for when vehicle travels to the additonal pressure that pressure transducer produces.
Sensor network data fusion algorithm: during actual deployment sensor network nodes, in order to improve the accuracy of measurement, a measurement point all deploys a group sensor network nodes.In theory, the measurement structure precision that measurement point obtains more may be higher.But, due in the network that forms at this group sensor node, the bosom of true pressure can not be in by each node.Therefore when sensor network produces pressure monitoring to vehicle, there will be numerical value that the nearer place measurement of decentering spot pressure obtains and actual value difference less, and decentering spot pressure is far away, then measure the numerical error obtained larger.And in real measuring process each time, but center pressure point is not changeless, therefore, after sensor network nodes collects data, needs the fusion treatment of carrying out data.The sensor network designed herein is using a pressure measurement point as one bunch, a center convergence node is selected in this bunch, this node is responsible for merging the convergence in the sensor network of this bunch, meanwhile, is also responsible for exchanging data with other sensors bunch aggregation node.The treatment scheme of data fusion is in a sensor network cluster, all nodes send to adjacent node by collecting pressure information with the form of broadcast, each sensor node receives the pressure data that other nodes pass over, and carries out data retransmission according to the node set up in advance to center convergence node routing information.Therefore, collect pressure data for each node, be only in node on centre data convergence path just forwarding data, not sensor node not forwarding data on the path, therefore, this data transfer mode can not produce broadcast storm.The data of each convergence path transmission finally all focus on Centroid, and employing data anastomosing algorithm processes bunch of interior nodes data by Centroid.Data anastomosing algorithm implements and easily, if in the bulk information received due to Centroid, cannot judge that those data are little from True Data gap, those are large from True Data gap, therefore, also just cannot make effective data anastomosing algorithm.This problem can carry out analogy by very classical " Byzantium's problem ", about the correlative study of " Byzantium's problem " and document have had a lot, the present invention directly uses the correlative study result of forefathers: if be all accompanied with respective identity information when can transmit data between node, each node also can authenticate mutual identity.Then when sensor node number is X, occur that the nodes of Byzantine fault is k, as k <=X/3, Byzantine fault problem can be solved.If during k <=X-2, need to bring identity information to solve Byzantine fault problem in the packet.All data that can solve Byzantine fault problem necessarily obey best normal distribution form.By this conclusion, the data anastomosing algorithm process designed herein is: the information of each sensor node transmission of collecting is formed a data sequence by center convergence node, what have in this sequence is very little from real measured value gap, and what have has a long way to go, and all numerical value is by arranging from small to large.Then the maximal value in this sequence and minimum value are all given up, because say from probability, these two values are maximum with real measurement error, in order to provide precision and the anti-interference of algorithm when in algorithm, so design is main.Finally remaining data are added up by normal distribution model, traversal chooses the central point of data as normal distribution of measurement one by one, obtain the normal distribution situation of whole data sequence, get the best central point that the central point closest to normal distribution situation is measured as this, this numerical value is as the Output rusults of a sensor network cluster data fusion.
Accompanying drawing explanation
Fig. 1 is data fusion schematic diagram.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are further elaborated:
The real work performance of vehicle dynamic weight-measuring system checks the ultimate criterion of design proposal of the present invention.The present invention selects Ou Man heavy truck as tested object.
Claims (4)
1. the system according to tension data computer card car weight amount.It is characterized in that the measuring nose using wireless sensor network as dynamic car weight, initial acquisition is carried out to dynamic car weight parameter.
2. a kind of system according to tension data computer card car weight amount according to claim 1, is characterized in that the data fusion and the processing capacity that utilize sensor network, processes, obtain accurate vehicle weight to the data gathered.
3. a kind of system according to tension data computer card car weight amount according to claim 1, is characterized in that sensor network nodes quantity is many, distribution is wide.
4. a kind of system according to tension data computer card car weight amount according to claim 1, is characterized in that the blending algorithm utilizing data, the Error processing between the multiple raw data collect wireless sensor network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201310601360.2A CN104655245A (en) | 2013-11-20 | 2013-11-20 | System for calculating weight of truck according to tension data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310601360.2A CN104655245A (en) | 2013-11-20 | 2013-11-20 | System for calculating weight of truck according to tension data |
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| CN104655245A true CN104655245A (en) | 2015-05-27 |
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| CN201310601360.2A Pending CN104655245A (en) | 2013-11-20 | 2013-11-20 | System for calculating weight of truck according to tension data |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101571418A (en) * | 2009-06-11 | 2009-11-04 | 重庆大唐测控技术有限公司 | Weighing method of dynamic self-discharging car scales |
| CN201368760Y (en) * | 2009-03-13 | 2009-12-23 | 上海时焦实业发展有限公司 | Vehicle on-load alarming device |
| CN102438333A (en) * | 2010-09-29 | 2012-05-02 | 中兴通讯股份有限公司 | Universal wireless sensor network system and information processing method thereof |
| CN202614347U (en) * | 2012-06-18 | 2012-12-19 | 长安大学 | Real-time overload monitoring and warning system for automobile |
| CN102901550A (en) * | 2012-11-15 | 2013-01-30 | 陕西电器研究所 | Method for implementing vehicle-mounted dynamic weighing |
-
2013
- 2013-11-20 CN CN201310601360.2A patent/CN104655245A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201368760Y (en) * | 2009-03-13 | 2009-12-23 | 上海时焦实业发展有限公司 | Vehicle on-load alarming device |
| CN101571418A (en) * | 2009-06-11 | 2009-11-04 | 重庆大唐测控技术有限公司 | Weighing method of dynamic self-discharging car scales |
| CN102438333A (en) * | 2010-09-29 | 2012-05-02 | 中兴通讯股份有限公司 | Universal wireless sensor network system and information processing method thereof |
| CN202614347U (en) * | 2012-06-18 | 2012-12-19 | 长安大学 | Real-time overload monitoring and warning system for automobile |
| CN102901550A (en) * | 2012-11-15 | 2013-01-30 | 陕西电器研究所 | Method for implementing vehicle-mounted dynamic weighing |
Non-Patent Citations (1)
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| 梁强 等: "基于传感器网络的动态车重测量系统设计", 《制造业自动化》 * |
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Application publication date: 20150527 |