CN106500810A - A kind of target vehicle Weighing method and system - Google Patents

A kind of target vehicle Weighing method and system Download PDF

Info

Publication number
CN106500810A
CN106500810A CN201611025202.7A CN201611025202A CN106500810A CN 106500810 A CN106500810 A CN 106500810A CN 201611025202 A CN201611025202 A CN 201611025202A CN 106500810 A CN106500810 A CN 106500810A
Authority
CN
China
Prior art keywords
strain
strain transducer
data
wheel
weight
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201611025202.7A
Other languages
Chinese (zh)
Other versions
CN106500810B (en
Inventor
李银军
姚飞
邓永强
杨洪建
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Wanji Technology Co Ltd
Original Assignee
Beijing Wanji Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Wanji Technology Co Ltd filed Critical Beijing Wanji Technology Co Ltd
Priority to CN201611025202.7A priority Critical patent/CN106500810B/en
Publication of CN106500810A publication Critical patent/CN106500810A/en
Application granted granted Critical
Publication of CN106500810B publication Critical patent/CN106500810B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/02Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
    • G01G19/03Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
    • G01G19/035Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion using electrical weight-sensitive devices

Abstract

The embodiment of the invention discloses a kind of target vehicle Weighing method and system.The method includes:When weight scale body of the target vehicle on track, the strain data for being arranged on multiple strain transducers collections in weight scale body is obtained;According to strain data and sensor position data, obtain wheel and roll position data;Position data and sensor position data are rolled according to wheel, the relative distance data that each strain transducer and wheel roll position are obtained;According to relative distance data and default gain function of weighing, the gain of weighing of each strain transducer is obtained;According to the gain of weighing of each strain transducer, and the strain data of each strain transducer collection, obtain the average weight of wheel;According to the weight that the average weight of wheel obtains target vehicle.Strain data of the embodiment of the present invention based on weight scale body calculates the weight for obtaining target vehicle, compared with prior art, with while weighing precision is improved, reduces the advantage of resource loss.

Description

A kind of target vehicle Weighing method and system
Technical field
The present embodiments relate to Vehicle weigh-in-motion technology field, and in particular to a kind of target vehicle Weighing method and be System.
Background technology
At present, domestic road vehicle dynamic weighing product is broadly divided into two classes:One class is with complete-vehicle-type and axle group formula etc. The scale body of embedding sensor is that the conventional low of representative is weighed product;Another kind of claimed with integral types such as fillet, quartz and piezoelectric films Retransmit the high-speed weighing product that sensor is representative.
Conventional low weighs product usually by multiple independent sensors one wider weighing table of common support, permits Perhaps vehicle bearing or axle group even car load travels the weighing area on weighing table.Although dynamic weighing precision is higher, Its volume is larger, and the consumable quantity and installation amount very big and cycle is longer, while having relatively costly, stability is poor, need through The shortcomings of often safeguarding.
And high-speed weighing product typically adopts integrated weighing sensor, i.e. scale body inherently LOAD CELLS, size Less many in strip, and frequently with many modes for combining layout with strip sensor in practice.Therefore, its relative construction Amount is less and construction period is shorter, road is damaged little, it is not necessary to often safeguard, but weighing precision is not relatively high, and to peace Dress and the requirement that safeguards are higher.
Content of the invention
One purpose of the embodiment of the present invention is to solve prior art to be difficult to while meeting raising weighing precision and reducing money The problem that source loss is required.
The embodiment of the present invention proposes a kind of target vehicle Weighing method, including:
When weight scale body of the target vehicle on track, obtain and be arranged in weight scale body and target vehicle row Sail the strain data of the multiple strain transducer collections being spaced apart on the perpendicular direction in direction;
According to the strain data of each strain transducer collection, and the position data of each strain transducer, obtain wheel and grind Pressure position data;
Position data, and the position data of each strain transducer are rolled according to wheel, each strain transducer and car is obtained Wheel rolls the relative distance data of position;
According to the relative distance data that each strain transducer and wheel roll position, and default gain function of weighing, obtain Take the gain of weighing of each strain transducer;
According to the gain of weighing of each strain transducer, and the strain data of each strain transducer collection, obtain wheel Average weight;
According to the weight that the average weight of wheel obtains target vehicle.
Preferably, the strain data according to the collection of each strain transducer, and the position data of each strain transducer, Obtain the step of wheel rolls position data and specifically include:
Obtain the position coordinateses of the strain data and each strain transducer of each strain transducer of object time;
According to the strain data of each strain transducer of object time, and the position data of each strain transducer, obtain mesh The first of timestamp quarter rolls position coordinateses;
According to the strain data of not each strain transducer collection in the same time, obtain not in the same time first roll position seat Mark;
In conjunction with weighted average method, according to not first rolling position coordinateses and obtain vehicle and roll position coordinateses in the same time, I.e. wheel rolls position data.
Preferably, the strain data according to each strain transducer of object time, and the position of each strain transducer Data, the first of acquisition object time specifically includes the step of rolling position coordinateses:
According to the strain data of each strain transducer of object time, and the position data of each strain transducer, in conjunction with Lower formula, obtain object time first roll position coordinateses:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=dij,(i,j≤N)
Wherein, xcFor the object time first rolls position coordinateses;xiPre-stored for i-th strain transducer Position coordinateses;yiStrain data for i-th strain transducer of object time during wheels travel;N is strain transducer Total number;F is to roll position coordinateses xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…, yN) between relation function;dijFor i-th strain transducer and the spacing distance of j-th strain transducer, i, j=1,2 ... N.
Preferably, the strain data of the gain of weighing according to each strain transducer, and each strain transducer collection, The step of average weight for obtaining wheel, specifically includes:
Obtain first wheel weight of each strain transducer according to weigh gain and strain data output;
According to below equation, average treatment is weighted to the first wheel weight that each strain transducer is exported, is obtained flat Equal wheel weight G:
Wherein, GiThe first wheel weight for i-th strain transducer output;a1,a2,…aNFor each strain transducer The weight of the first wheel weight, and a1+a2+…aN=1.
Preferably, described according to the average weight of wheel obtain target vehicle weight the step of specifically include:
The average weight of all wheels is added, the weight of the target vehicle is obtained.
The invention allows for a kind of target vehicle weighing system, including:
First acquisition module, for when weight scale body of the target vehicle on track, obtaining to be arranged on and weighing The dependent variable of the multiple strain transducer collections being spaced apart in scale body on the direction perpendicular with target vehicle travel direction According to;
First processing module, for the strain data gathered according to each strain transducer, and the position of each strain transducer Data are put, wheel is obtained and is rolled position data;
Second processing module, for rolling position data, and the position data of each strain transducer according to wheel, obtains Each strain transducer rolls the relative distance data of position with wheel;
3rd processing module, for rolling the relative distance data of position, and in advance according to each strain transducer and wheel If weighing gain function, the gain of weighing of each strain transducer is obtained;
Fourth processing module, for the gain of weighing according to each strain transducer, and the collection of each strain transducer should Become data, obtain the average weight of wheel;
Second acquisition module, for obtaining the weight of target vehicle according to the average weight of wheel.
Preferably, the first processing module, specifically for obtain the strain data of each strain transducer of object time with And the position coordinateses of each strain transducer;According to the strain data of each strain transducer of object time, and each strain transducer Position data, obtain object time first rolls position coordinateses;Strain according to not each strain transducer collection in the same time Data, obtain not in the same time first roll position coordinateses;In conjunction with weighted average method, according to not in the same time first roll position Put coordinate and obtain vehicle and roll position coordinateses, i.e. wheel and roll position data.
Preferably, the first processing module, specifically for the strain data according to each strain transducer of object time, with And the position data of each strain transducer, in conjunction with below equation, obtain object time first rolls position coordinateses:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=dij,(i,j≤N)
Wherein, xcPosition coordinateses are rolled for the object time first;xiPosition for the pre-stored of i-th strain transducer Put coordinate;yiStrain data for i-th strain transducer of object time during wheels travel;N is total for strain transducer Number;F is to roll position coordinateses xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…, yN) between relation function;dijFor i-th strain transducer and the spacing distance of j-th strain transducer, i, j=1,2 ... N.
Preferably, the fourth processing module, specifically for obtaining each strain transducer according to gain and the dependent variable of weighing The first wheel weight according to output;According to below equation, the first wheel weight that each strain transducer is exported is weighted flat Process, obtain average wheel weight G:
Wherein, GiThe first wheel weight for i-th strain transducer output;a1,a2,…aNFor each strain transducer The weight of the first wheel weight, and a1+a2+…aN=1.
Preferably, second acquisition module, is added specifically for the average weight by all wheels, obtains the target The weight of vehicle.
As shown from the above technical solution, the target vehicle Weighing method and system that the embodiment of the present invention is proposed is based on weight scale The strain data of body calculates the weight for obtaining target vehicle, compared with prior art, with while weighing precision is improved, drops The advantage of low-resource loss.
Description of the drawings
The features and advantages of the present invention can be more clearly understood from by reference to accompanying drawing, accompanying drawing is schematic and should not manage Solution is to carry out any restriction to the present invention, in the accompanying drawings:
Fig. 1 shows a kind of schematic flow sheet of target vehicle Weighing method that one embodiment of the invention is provided;
Fig. 2 shows the structural representation of weight scale body in a kind of target vehicle Weighing method that one embodiment of the invention is provided Figure;
Fig. 3 is the weighing precision result figure obtained using the weight scale body shown in Fig. 2;
Fig. 4 shows a kind of structural representation of target vehicle weighing system that one embodiment of the invention is provided.
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention is clearer, below in conjunction with the embodiment of the present invention In accompanying drawing, to the embodiment of the present invention in technical scheme be clearly and completely described, it is clear that described embodiment is A part of embodiment of the present invention, rather than whole embodiments.Embodiment in based on the present invention, ordinary skill people The every other embodiment obtained on the premise of creative work is not made by member, belongs to the scope of protection of the invention.
Fig. 1 shows a kind of schematic flow sheet of target vehicle Weighing method that one embodiment of the invention is provided, referring to figure 1, the target vehicle Weighing method, including:
110th, when weight scale body of the target vehicle on track, obtain and be arranged in weight scale body and target carriage The strain data of the multiple strain transducers collections being spaced apart on the perpendicular direction of travel direction;
It should be noted that weight scale body is elastomeric material, strain transducer edge is arranged on perpendicular to travel direction weighs On scale body, with when vehicle rolls weight scale body, measuring strain data;
It will be appreciated that when each strain transducer is installed, installation site, numbering for each strain transducer have note Record, and by the data storage of record in processor.Thus, when the strain data of strain transducer is gathered, also this can be strained The numbering of sensor or other identification information are together gathered.
In addition, strain transducer is distributed with kinds of schemes, for example:In one line etc., no longer it is defined herein.
120th, according to the strain data of each strain transducer collection, and the position data of each strain transducer, obtain car Wheel rolls position data;
It should be noted that in target vehicle through each moment of weight scale body, each strain transducer can be detected A strain data is obtained, strain data of the processor according to all strain transducers calculates the stone roller for obtaining wheel under the moment Pressure position data;In the same manner, the strain data for being gathered based on multiple moment strain transducers, processor are calculated and obtain multiple moment pair That answered rolls position data;And based on multiple moment corresponding roll position data calculate obtain one averagely roll position, remember Position is rolled for wheel;
It will be appreciated that depending on the visual precision prescribed of the quantity of strain transducer is required.
130th, position data, and the position data of each strain transducer are rolled according to wheel, obtains each strain transducer The relative distance data of position are rolled with wheel;
It should be noted that the relative distance data that each strain transducer rolls position with wheel can be by setting up coordinate The method of system is calculated and is obtained;
That is, coordinate system is pre-build, records the position coordinateses of each strain transducer;Position coordinateses are rolled wheel is got When, the position coordinateses and wheel according to strain transducer roll position coordinateses, calculate and obtain relative distance data.140th, according to each Strain transducer rolls the relative distance data of position, and default gain function of weighing with wheel, obtains each strain transducer Gain of weighing;
It should be noted that gain function of weighing is sensor weigh the relation function of gain and relative distance, Ke Yitong Cross and weight scale body test calibration is obtained.
150th, according to the gain of weighing of each strain transducer, and the strain data of each strain transducer collection, obtain car The average weight of wheel.
160th, the weight of target vehicle is obtained according to the average weight of wheel;
It will be appreciated that the wheel weight of all wheels is added, you can obtain the weight of the target vehicle.
Strain data of the present embodiment based on weight scale body calculates the weight for obtaining target vehicle, compared with prior art, Having reduces the advantage of resource loss while weighing precision is improved.
In the present embodiment, step 120 is specifically included:
Obtain the position coordinateses of the strain data and each strain transducer of each strain transducer of object time;
According to the strain data of each strain transducer of object time, and the position data of each strain transducer, obtain mesh The first of timestamp quarter rolls position coordinateses;
According to the strain data of not each strain transducer collection in the same time, obtain not in the same time first roll position seat Mark;
In conjunction with weighted average method, according to not first rolling position coordinateses and obtain vehicle and roll position coordinateses in the same time, I.e. wheel rolls position data.
Wherein, first roll position coordinateses calculating process as follows:
According to the strain data of each strain transducer of object time, and the position data of each strain transducer, in conjunction with Lower formula, obtain object time first roll position coordinateses:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=dij,(i,j≤N)
Wherein, xcPosition coordinateses are rolled for described first;xiPosition coordinateses for the pre-stored of i-th strain transducer;yi Strain data for i-th strain transducer during wheels travel;Total numbers of the N for strain transducer;F is sat for rolling position Mark xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…,yN) between relation function;dijFor I-th strain transducer and the spacing distance of j-th strain transducer, i, j=1,2 ... N.
Fig. 2 shows the structural representation of weight scale body in a kind of target vehicle Weighing method that one embodiment of the invention is provided Figure, referring to Fig. 2, the weight scale body includes consolidation zone and Weighing Area;
Consolidation zone, is connected with Weighing Area, for fixing Weighing Area, and weight scale body can be caused to be connected with external device (ED);This The external device (ED) at place can be weighing platform or be track etc.;
Multiple strain transducers are provided with Weighing Area, and the distribution mode of strain transducer is weighed for being evenly distributed on herein On the centrage of area cross section in the horizontal direction;
It will be appreciated that the distribution arrangement of sensor is mutually perpendicular to the direction of traffic of vehicle.
The operation principle of the embodiment of the present invention is described in detail with reference to Fig. 2:
Step 1, on scale body as shown in Figure 2, multiple strain sensings are equally spacedly installed on edge in travel direction Device, and each sensor is installed on the centrage of weighing platform Weighing Area, records the position coordinateses of each sensor.Here each sensor Using equidistantly arrangement, in order to ensure the symmetry of structural constraint and the concordance of each sensor, convenient gain meter of subsequently weighing Calculate;And spacing d of two neighboring sensor should be less than 200mm, in case the excessive valid data of spacing are less.Simultaneously in order to ensure scale The service life of body, should be less than 500mm along travel direction scale body width.
When vehicle rolls weight scale body, scale body produces elastic deformation, and strain transducer measures the scale body of relevant position should Become data.Data acquisition and processing (DAP) for convenience, here using each strain transducer data of branch packet collection, and ensures per group Sensor only has video data all the way, is that step 2 rolls position calculation and prepares;
Step 2, extracts the strain data of each strain transducer in the same time as instantaneous strain data, according to instantaneous strain number According to the position coordinateses with each strain transducer, wheel is determined along instantaneously rolling position in travel direction, concrete formula For:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=(j-i) d, (i, j≤N)
Wherein, xcPosition coordinateses are rolled for described first;xiPosition coordinateses for the pre-stored of i-th strain transducer;yi Strain data for i-th strain transducer during wheels travel;D is the spacing distance of two neighboring sensor, and f is to roll Position coordinateses xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…,yN) between relation letter Number.Wherein it is determined that wheel rolls position coordinateses xcFunction f specifically refer to, synchronization N number of data to (x1,y1), (x2,y2),…,(xN,yN) in choose n group non-zero instantaneous strain data two data of identical to (xi,yi) and (xm,ym), i.e. yi =ym≠0,xi≠xmIf (not existing, obtain by the way of linear interpolation), according to symmetry, determine that wheel is rolled Position coordinateses
That is, according to each moment N number of data to (x1,y1),(x2,y2),…,(xN,yN), quadratic polynomial fitting is carried out, The coordinate of gained axis of symmetry is the first wheel and rolls position xc.
Further, the strain data of each strain transducer in the same time is chosen not, is repeated above-mentioned first and is rolled position coordinateses Calculation procedure, obtain not wheel in the same time along position is instantaneously rolled in travel direction, its weighted average obtained Final wheel rolls position.
Step 3, rolls position according to above-mentioned wheel and the position of each sensor that prestores, determines that each sensor is rolled with wheel The relative distance of position;
Step 4, each sensor and the wheel according to step 3 gained roll the relative distance of position and gain function meter of weighing Calculate the gain k that weighs of each strain transduceri
Wherein, the relation function that gain function of weighing is weighed between gain and above-mentioned relative distance for strain transducer, should Become sensor to weigh the ratio of strain data that gain gathered into strain transducer and tire weight;Above-mentioned gain function of weighing can In test measurement, obtained by weight scale body is repeatedly tested and demarcated.
Step 5, weighs gain k according to sensoriWith strain transducer data Ti, obtain wheel weight Gi.Wherein, for Each sensor i, can calculate a wheel weight G by its registrationi, and last output wheel weight G be then by the wheel weight of all calculating, It is weighted according to the difference of relative distance and averagely obtains, i.e.,
Wherein, GiFor the first wheel weight of i-th strain transducer output, a1,a2,…aNNonnegative number is, respectively should be Become the weight of the calculated wheel weight of sensor, the weight and only relevant, the relative distance with the relative distance information of each strain transducer In information, the less weight coefficient of the distance value of carrying is bigger, and a1+a2+…aN=1.
Step 6, by all wheel weight obtained above directly plus and, itself and value are exactly the weight of whole target vehicle. Based on the high accuracy result of wheel weight, gained complete vehicle weight precision is also fine, as shown in Figure 3.
For method embodiment, in order to be briefly described, therefore which is all expressed as a series of combination of actions, but ability Field technique personnel should know that embodiment of the present invention is not limited by described sequence of movement, because according to the present invention Embodiment, some steps can be carried out using other orders or simultaneously.Secondly, those skilled in the art should also know, Embodiment described in this description belongs to preferred implementation, involved action embodiment party not necessarily of the present invention Necessary to formula.
Fig. 4 shows a kind of structural representation of target vehicle weighing system that one embodiment of the invention is provided, referring to figure 4, the target vehicle weighing system, including:At first acquisition module 41, first processing module 42, Second processing module the 43, the 3rd Reason module 44, fourth processing module 45 and the second acquisition module 46, wherein;
First acquisition module 41, for when weight scale body of the target vehicle on track, obtaining and being arranged on title The strain of the multiple strain transducer collections being spaced apart in weight scale body on the direction perpendicular with target vehicle travel direction Data;
First processing module 42, for the strain data gathered according to each strain transducer, and each strain transducer Position data, obtains wheel and rolls position data;
Second processing module 43, for rolling position data, and the position data of each strain transducer according to wheel, obtains Take the relative distance data that each strain transducer and wheel roll position;
3rd processing module 44, for rolling the relative distance data of position according to each strain transducer and wheel, and Default gain function of weighing, obtains the gain of weighing of each strain transducer;
Fourth processing module 45, for the gain of weighing according to each strain transducer, and the collection of each strain transducer Strain data, obtains the average weight of wheel;
Second acquisition module 46, for obtaining the weight of target vehicle according to the average weight of wheel.
Needs are, when target vehicle wheel rolls weight scale body, weight scale body occurs elastic deformation, the first acquisition module 41 collection strain transducers measure the strain data of relevant position, and give first processing module 42 He the data is activation for collecting Fourth processing module 45;First processing module 42, for the strain data gathered according to each strain transducer, and each strain is passed The position data of sensor, obtains wheel and rolls position data;Second processing module 43 is used for rolling position data according to wheel, with And the position data of each strain transducer, obtain the relative distance data that each strain transducer and corresponding wheel roll position; 3rd processing module 44 rolls the relative distance data of position according to each strain transducer and corresponding wheel, and default weighs Gain function, obtains the gain of weighing of each strain transducer, and by the data is activation for getting to fourth processing module 45;4th Weigh gain of the processing module 45 according to each strain transducer for receiving, and the strain data of each strain transducer collection, Obtain the average weight of wheel;Second acquisition module 46, is added for the weight by all wheels obtained according to above-mentioned steps, Obtain the weight of target vehicle.
In the present embodiment, the first processing module 42, specifically for obtaining the strain of each strain transducer of object time Data and the position coordinateses of each strain transducer;According to the strain data of each strain transducer of object time, and each strain The position data of sensor, obtain object time first roll position coordinateses;According to not each strain transducer collection in the same time Strain data, obtain not in the same time first roll position coordinateses;In conjunction with weighted average method, according to not in the same time first Roll position coordinateses and obtain vehicle and roll position coordinateses, i.e. wheel and roll position data.
In the present embodiment, the first processing module 42, specifically for the strain according to each strain transducer of object time Data, and the position data of each strain transducer, in conjunction with below equation, obtain object time first rolls position coordinateses:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=(j-i) d, (i, j≤N)
Wherein, xcPosition coordinateses are rolled for described first;xiPosition coordinateses for the pre-stored of i-th strain transducer;yi Strain data for i-th strain transducer during wheels travel;Total numbers of the N for strain transducer;F is sat for rolling position Mark xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…,yN) between relation function;D is The spacing of two neighboring sensor.
In the present embodiment, the fourth processing module 45, specifically for obtain each strain transducer according to weigh gain with First wheel weight of strain data output;According to below equation, the first wheel weight that each strain transducer is exported is carried out Weighted average process, obtains average wheel weight G:
Wherein, GiThe first wheel weight for i-th strain transducer output;a1,a2,…aNFor each strain transducer The weight of the first wheel weight, and a1+a2+…aN=1.
For system embodiment, due to itself and method embodiment basic simlarity, so description is fairly simple, Related part is illustrated referring to the part of method embodiment.
It should be noted that in all parts of the system of the present invention, according to its function to be realized to therein Part has carried out logical partitioning, but, the present invention is not only restricted to this, as needed all parts can be repartitioned or Person combines.
The present invention all parts embodiment can be realized with hardware, or with one or more processor fortune Capable software module is realized, or is realized with combinations thereof.In the system, PC is by realizing the Internet to equipment or device Remotely control, accurately the step of each operation of control device or device.The present invention is also implemented as execution here (for example, computer program and computer program are produced for some or all equipment of described method or program of device Product).It is achieved in that the program of the present invention can be stored on a computer-readable medium, and the file or document tool that program is produced Having can be statistical, produces data report and cpk reports etc., can carry out batch testing to power amplifier and count.It should be noted that on The present invention will be described rather than limits the invention to state embodiment, and those skilled in the art are without departing from institute Replacement embodiment can be designed in the case of the scope of attached claim.In the claims, will should not be located between bracket Any reference markss be configured to limitations on claims.Word "comprising" does not exclude the presence of unit not listed in the claims Part or step.Word "a" or "an" before being located at element does not exclude the presence of multiple such elements.The present invention can be borrowed Help include the hardware of some different elements and realized by means of properly programmed computer.If listing equipment for drying Unit claim in, several in these devices can be embodied by same hardware branch.Word first, Second and third use do not indicate that any order.These words can be construed to title.
Although being described in conjunction with the accompanying embodiments of the present invention, those skilled in the art can be without departing from this Various modifications and variations are made in the case of bright spirit and scope, such modification and modification are each fallen within by claims Within limited range.

Claims (10)

1. a kind of target vehicle Weighing method, it is characterised in that include:
When weight scale body of the target vehicle on track, obtain and be arranged in weight scale body and target vehicle traveling side Strain data to the multiple strain transducer collections being spaced apart on perpendicular direction;
According to the strain data of each strain transducer collection, and the position data of each strain transducer, obtain wheel and roll position Put data;
Position data, and the position data of each strain transducer are rolled according to wheel, each strain transducer is obtained and is ground with wheel The relative distance data of pressure position;
According to the relative distance data that each strain transducer and wheel roll position, and default gain function of weighing, obtain each The gain of weighing of strain transducer;
According to the gain of weighing of each strain transducer, and the strain data of each strain transducer collection, obtain the average of wheel Weight;
According to the weight that the average weight of wheel obtains target vehicle.
2. method according to claim 1, it is characterised in that the strain data according to the collection of each strain transducer, And the position data of each strain transducer, obtain the step of wheel rolls position data and specifically include:
Obtain the position data of the strain data and each strain transducer of each strain transducer of object time;
According to the strain data of each strain transducer of object time, and the position data of each strain transducer, when obtaining target First for carving rolls position coordinateses;
According to the strain data of not each strain transducer collection in the same time, obtain not in the same time first roll position coordinateses;
In conjunction with weighted average method, according to not first rolling position coordinateses and obtain vehicle and roll position coordinateses, i.e. car in the same time Wheel rolls position data.
3. method according to claim 2, it is characterised in that the dependent variable according to each strain transducer of object time According to, and the position data of each strain transducer, the first of acquisition object time specifically includes the step of rolling position coordinateses:
According to the strain data of each strain transducer of object time, and the position data of each strain transducer, in conjunction with following public affairs Formula, obtain object time first roll position coordinateses:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=dij,(i,j≤N)
Wherein, xcFor the object time first rolls position coordinateses;xiPosition for the pre-stored of i-th strain transducer Coordinate;yiStrain data for i-th strain transducer of object time during wheels travel;N total for strain transducer Number;F is to roll position coordinateses xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…,yN) Between relation function;dijFor i-th strain transducer and the spacing distance of j-th strain transducer, i, j=1,2 ... N.
4. method according to claim 1, it is characterised in that the gain of weighing according to each strain transducer, and The step of strain data of each strain transducer collection, average weight for obtaining wheel, specifically includes:
Obtain first wheel weight of each strain transducer according to weigh gain and strain data output;
According to below equation, average treatment is weighted to the first wheel weight that each strain transducer is exported, obtains average car Wheel weight G:
G = 1 N ( a 1 · G 1 + a 2 · G 2 + ... + a N · G N )
Wherein, GiThe first wheel weight for i-th strain transducer output;a1,a2,…aNIt is right respectively with each strain transducer The weight of the first wheel weight that answers, and a1+a2+…aN=1.
5. the method according to any one of claim 1-4, it is characterised in that described mesh is obtained according to the average weight of wheel The step of weight of mark vehicle, specifically includes:
The average weight of all for target vehicle wheels is added, the weight of the target vehicle is obtained.
6. a kind of target vehicle weighing system, it is characterised in that include:
First acquisition module, for when weight scale body of the target vehicle on track, obtaining and being arranged on weight scale body In multiple strain transducers collections being spaced apart on perpendicular with the target vehicle travel direction direction strain data;
First processing module, for the strain data gathered according to each strain transducer, and the positional number of each strain transducer According to acquisition wheel rolls position data;
Second processing module, for rolling position data, and the position data of each strain transducer according to wheel, respectively should obtain Become the relative distance data that sensor and wheel roll position;
3rd processing module, for rolling the relative distance data of position, and default title according to each strain transducer and wheel Weight gain function, obtains the gain of weighing of each strain transducer;
Fourth processing module, for the gain of weighing according to each strain transducer, and the dependent variable of each strain transducer collection According to the average weight of acquisition wheel;
Second acquisition module, for obtaining the weight of target vehicle according to the average weight of wheel.
7. system according to claim 6, it is characterised in that the first processing module, specifically for obtaining during target Carve the position coordinateses of the strain data and each strain transducer of each strain transducer;According to each strain transducer of object time Strain data, and the position data of each strain transducer, obtain object time first roll position coordinateses;During according to difference Carve the strain data of each strain transducer collection, obtain not in the same time first roll position coordinateses;In conjunction with weighted average method, According to not first rolling position coordinateses and obtain vehicle and roll position coordinateses, i.e. wheel and roll position data in the same time.
8. system according to claim 7, it is characterised in that the first processing module, specifically for during according to target The strain data of each strain transducer, and the position data of each strain transducer is carved, in conjunction with below equation, object time is obtained First roll position coordinateses:
xc=f (x1,y1,x2,y2,…,xN,yN)
xi-xj=dij,(i,j≤N)
Wherein, xcPosition coordinateses are rolled for object time first;xiPosition coordinateses for the pre-stored of i-th strain transducer;yi Strain data for i-th strain transducer of object time during wheels travel;Total numbers of the N for strain transducer;F is stone roller Pressure position coordinateses xc, each strain transducer position coordinateses (x1,x2,…xN) and strain data (y1,y2,…,yN) between relation Function;dijFor i-th strain transducer and the spacing distance of j-th strain transducer, i, j=1,2 ... N.
9. system according to claim 6, it is characterised in that the fourth processing module, specifically for obtaining each strain First wheel weight of the sensor according to weigh gain and strain data output;According to below equation, defeated to each strain transducer The the first wheel weight for going out is weighted average treatment, obtains average wheel weight G:
G = 1 N ( a 1 · G 1 + a 2 · G 2 + ... + a N · G N )
Wherein, GiThe first wheel weight for i-th strain transducer output;a1,a2,…aNThe first car for each strain transducer The weight of wheel weight, and a1+a2+…aN=1.
10. the system according to any one of claim 6-9, it is characterised in that second acquisition module, specifically for will The average weight of all wheels is added, and obtains the weight of the target vehicle.
CN201611025202.7A 2016-11-15 2016-11-15 A kind of target vehicle weighing method and system Active CN106500810B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611025202.7A CN106500810B (en) 2016-11-15 2016-11-15 A kind of target vehicle weighing method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611025202.7A CN106500810B (en) 2016-11-15 2016-11-15 A kind of target vehicle weighing method and system

Publications (2)

Publication Number Publication Date
CN106500810A true CN106500810A (en) 2017-03-15
CN106500810B CN106500810B (en) 2019-08-20

Family

ID=58327422

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611025202.7A Active CN106500810B (en) 2016-11-15 2016-11-15 A kind of target vehicle weighing method and system

Country Status (1)

Country Link
CN (1) CN106500810B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111998923A (en) * 2020-09-11 2020-11-27 锐马(福建)电气制造有限公司 Internet of things livestock breeding data acquisition method
CN112050922A (en) * 2020-09-04 2020-12-08 锐马(福建)电气制造有限公司 Truck weighing Internet of things service system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1062036A (en) * 1987-11-30 1992-06-17 梅特勒-托利多有限公司 A kind of method of multiple load cell scale being carried out the load position compensation
CN101603852A (en) * 2008-11-25 2009-12-16 无锡虹业自动化工程有限公司 Truck scale dynamic axle weighing system
JP2010197249A (en) * 2009-02-25 2010-09-09 Tokyo Institute Of Technology Vehicle weight measuring system and method for vehicle passing on bridge, and computer program
CN102519570A (en) * 2011-12-20 2012-06-27 四川兴达明科机电工程有限公司 System for identifying position area of vehicle passing through lane
CN202350894U (en) * 2011-12-20 2012-07-25 四川兴达明科机电工程有限公司 Vehicle weighing system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1062036A (en) * 1987-11-30 1992-06-17 梅特勒-托利多有限公司 A kind of method of multiple load cell scale being carried out the load position compensation
CN101603852A (en) * 2008-11-25 2009-12-16 无锡虹业自动化工程有限公司 Truck scale dynamic axle weighing system
JP2010197249A (en) * 2009-02-25 2010-09-09 Tokyo Institute Of Technology Vehicle weight measuring system and method for vehicle passing on bridge, and computer program
CN102519570A (en) * 2011-12-20 2012-06-27 四川兴达明科机电工程有限公司 System for identifying position area of vehicle passing through lane
CN202350894U (en) * 2011-12-20 2012-07-25 四川兴达明科机电工程有限公司 Vehicle weighing system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112050922A (en) * 2020-09-04 2020-12-08 锐马(福建)电气制造有限公司 Truck weighing Internet of things service system
CN111998923A (en) * 2020-09-11 2020-11-27 锐马(福建)电气制造有限公司 Internet of things livestock breeding data acquisition method
CN111998923B (en) * 2020-09-11 2021-10-01 锐马(福建)电气制造有限公司 Internet of things livestock breeding data acquisition method

Also Published As

Publication number Publication date
CN106500810B (en) 2019-08-20

Similar Documents

Publication Publication Date Title
CN105651338B (en) The recognition methods of axletree quantity, wheelbase recognition methods and system for bridge
Richardson et al. On the use of bridge weigh-in-motion for overweight truck enforcement
CN101806668B (en) Cable structure health monitoring method based on cable tension monitoring
CN103268371A (en) Real-time bridge load identification method based on influence matrix
JP2013524172A (en) Method for calibrating a WIM sensor
CN112857718B (en) Bridge bearing capacity rapid assessment method based on mobile vehicle test
CN104535011A (en) Three-dimensional line laser wheel track detecting equipment and indoor parameter calibration method thereof
CN112816045B (en) Dynamic weighing method and dynamic weighing device for vehicle
CN106706097B (en) Dynamic weighing method and system
CN106500810A (en) A kind of target vehicle Weighing method and system
Žnidarič et al. Determination of strain correction factors for bridge weigh-in-motion systems
Liu et al. A semi-convex function for both constant and time-varying moving force identification
CN101929124B (en) Performance measurement method of vehicle-carried rut meter
CN116124269B (en) Weighing calibration method, device, equipment and storage medium of dynamic truck scale
Cole et al. A capacitative strip sensor for measuring dynamic type forces
CN101793632B (en) Cable structure health monitoring method based on strain monitoring
Nie et al. Anomalous data detection for roller-integrated compaction measurement
Ott et al. Weigh-in-motion data quality assurance based on 3-S2 steering axle load analysis
CN101793631B (en) Cable structure health monitoring method based on space coordinate monitoring
CN101793628B (en) Cable structure health monitoring method based on hybrid monitoring
CN106706096A (en) Method and system for detecting pressure distribution of tire ground contact sides
US20060282198A1 (en) Intelligent chassis mechanism capable of detecting strain
CN101793630B (en) Cable structure health monitoring method based on angle monitoring
Yang et al. Investigation on the moving load identification for bridges based on long-gauge strain sensing and skew-Laplace fitting
WO1994023275A1 (en) Method for weighing a load

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant