CN116124269B - Weighing calibration method, device, equipment and storage medium of dynamic truck scale - Google Patents
Weighing calibration method, device, equipment and storage medium of dynamic truck scale Download PDFInfo
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Abstract
The invention relates to the technical field of weighing, and discloses a weighing calibration method, device and equipment of a dynamic truck scale and a storage medium, which are used for reducing the weighing calibration cost of the dynamic truck scale and improving the weighing accuracy of the dynamic truck scale. The method comprises the following steps: acquiring first external characteristic information and first weight data; calibrating a dynamic truck scale of a target vehicle, and acquiring second external characteristic information; acquiring second weight data, and generating at least one first calibration curve according to the first weight data and the second weight data; according to the first external feature information and the second external feature information, carrying out vehicle information verification on the target vehicle to obtain a vehicle information verification result; if the verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard; and if the dynamic automobile scale is in accordance with the first calibration curve, generating target calibration data of the dynamic automobile scale according to at least one first calibration curve, and storing the target calibration data and integrating the curves to generate a second calibration curve.
Description
Technical Field
The present invention relates to the field of weighing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for calibrating weighing of a dynamic truck scale.
Background
The calibration of the dynamic truck scale is currently generally carried out by adopting three truck types of 2-axis, 4-axis and 6-axis on the road, each truck type needs to be respectively increased from the speed of 5km/h at intervals of 5km/h to the highest speed limit (60 km/h, 80km/h and 100 km/h) of the current road, the running of the truck at each speed segment is carried out for more than 3 times, and in the process, the on-site personnel are required to manually save the data of each passing truck, so that the influences such as wrong preservation and missed preservation exist.
In the existing scheme, a lane is required to be closed in the calibration process, so that normal traffic is influenced on one hand, and personal safety threat is formed on the other hand for target vehicles and personnel calibrated on site. Therefore, the calibration process of the existing scheme is complex and the calibration cost is high.
Disclosure of Invention
The invention provides a weighing calibration method, device and equipment of a dynamic truck scale and a storage medium, which are used for reducing the weighing calibration cost of the dynamic truck scale and improving the weighing accuracy of the dynamic truck scale.
The first aspect of the invention provides a weighing calibration method of a dynamic truck scale, which comprises the following steps:
Selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external characteristic information of the target vehicle, and carrying out standard weighing on the target vehicle to obtain first weight data of the target vehicle;
based on a preset weighing area and a running scheme, calibrating a dynamic truck scale of the target vehicle, and acquiring second external characteristic information of the target vehicle through a preset vehicle identification system and a vehicle separation system;
acquiring second weight data of the target vehicle in the dynamic truck scale calibration process, calling a preset data model, and generating at least one first calibration curve of the target vehicle according to the first weight data and the second weight data;
according to the first external feature information and the second external feature information, carrying out vehicle information verification on the target vehicle to obtain a vehicle information verification result;
if the vehicle information verification result is that verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard according to the at least one first calibration curve;
and if the error range is met, generating target calibration data of the dynamic truck scale according to the at least one first calibration curve, and performing data storage and curve integration on the target calibration data to generate a second calibration curve.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external feature information of the target vehicle, and performing standard weighing on the target vehicle to obtain first weight data of the target vehicle includes:
selecting a target vehicle based on a plurality of preset vehicle types, wherein the plurality of vehicle types comprise: a biaxial rigid vehicle, a triaxial rigid vehicle, a four-axis hinge vehicle and hinge vehicles with more than four axes;
acquiring first external feature information of the target vehicle, wherein the first external feature information comprises: standard vehicle total weight, axle number, license plate number and wheelbase information;
and carrying out standard weighing on the target vehicle through a preset static wagon balance to obtain first weight data of the target vehicle.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the calibrating the dynamic truck scale of the target vehicle based on the preset weighing area and the running scheme, and acquiring the second external feature information of the target vehicle through the preset vehicle identification system and the vehicle separation system includes:
Based on a preset weighing area and a running scheme, calibrating the dynamic truck scale of the target vehicle;
collecting license plate numbers of the target vehicle through a preset vehicle identification system, and obtaining axles, lanes and vehicle numbers of the target vehicle through the vehicle separation system;
and taking the license plate number of the target vehicle, the axle, the lane and the vehicle number of the target vehicle as second external characteristic information.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the obtaining second weight data of the target vehicle in the dynamic truck scale calibration process, and calling a preset data model, generating at least one first calibration curve of the target vehicle according to the first weight data and the second weight data includes:
acquiring second weight data of the target vehicle in the dynamic truck scale calibration process;
calculating target difference data between the first weight data and the second weight data through a preset data model;
and constructing at least one first calibration curve of the target vehicle according to the target difference data.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the performing a vehicle information verification on the target vehicle according to the first external feature information and the second external feature information to obtain a vehicle information verification result includes:
Comparing the first external characteristic information with the second external characteristic information to obtain a characteristic information comparison result;
and generating a vehicle information verification result of the target vehicle according to the characteristic information comparison result, wherein the vehicle information verification result comprises the following steps: pass and fail the verification.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, if the vehicle information verification result is that the verification passes, determining, according to the at least one first calibration curve, whether the target vehicle meets an error range of a preset verification metering standard includes:
if the vehicle information verification result is that verification passes, inquiring target difference value data corresponding to the at least one first calibration curve;
judging whether the target difference value data accords with an error range of a preset verification metering standard or not;
if the target difference value data is smaller than or equal to a preset error range, determining that the target vehicle accords with the error range;
and if the target difference value data is larger than a preset error range, determining that the target vehicle does not accord with the error range.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, if the error range is met, generating target calibration data of the dynamic truck scale according to the at least one first calibration curve, and performing data storage and curve integration on the target calibration data to generate a second calibration curve, where the generating includes:
If the error range is met, generating target calibration data of the dynamic truck scale according to the at least one first calibration curve;
and storing the target calibration data, and integrating the at least one first calibration curve to generate a second calibration curve.
The second aspect of the invention provides a weighing and calibrating device for a dynamic truck scale, which comprises:
the acquisition module is used for selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external characteristic information of the target vehicle, and carrying out standard weighing on the target vehicle to obtain first weight data of the target vehicle;
the calibration module is used for carrying out dynamic truck scale calibration on the target vehicle based on a preset weighing area and a running scheme, and acquiring second external characteristic information of the target vehicle through a preset vehicle identification system and a vehicle separation system;
the processing module is used for acquiring second weight data of the target vehicle in the dynamic truck scale calibration process, calling a preset data model and generating at least one first calibration curve of the target vehicle according to the first weight data and the second weight data;
The verification module is used for verifying the vehicle information of the target vehicle according to the first external characteristic information and the second external characteristic information to obtain a vehicle information verification result;
the judging module is used for judging whether the target vehicle accords with the error range of a preset verification metering standard according to the at least one first calibration curve if the vehicle information verification result is that verification passes;
and the generating module is used for generating target calibration data of the dynamic truck scale according to the at least one first calibration curve if the error range is met, and performing data storage and curve integration on the target calibration data to generate a second calibration curve.
A third aspect of the present invention provides a weighing calibration apparatus for a dynamic truck scale, comprising: a memory and at least one processor, the memory having instructions stored therein; and the at least one processor calls the instruction in the memory so that the weighing and calibrating equipment of the dynamic truck scale executes the weighing and calibrating method of the dynamic truck scale.
A fourth aspect of the present invention provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the method of weighing calibration of a dynamic truck scale as described above.
In the technical scheme provided by the invention, first external characteristic information and first weight data are acquired; calibrating a dynamic truck scale of a target vehicle, and acquiring second external characteristic information; acquiring second weight data, and generating at least one first calibration curve according to the first weight data and the second weight data; according to the first external feature information and the second external feature information, carrying out vehicle information verification on the target vehicle to obtain a vehicle information verification result; if the verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard; if the dynamic automobile balance is in accordance with the dynamic automobile balance, target calibration data of the dynamic automobile balance are generated according to at least one first calibration curve, and data storage and curve integration are carried out on the target calibration data to generate a second calibration curve.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a method for calibrating weighing of a dynamic truck scale according to an embodiment of the present invention;
FIG. 2 is a flow chart of dynamic truck scale calibration in an embodiment of the invention;
FIG. 3 is a flow chart of generating at least one first calibration curve in an embodiment of the present invention;
FIG. 4 is a flow chart of vehicle information verification in an embodiment of the invention;
FIG. 5 is a schematic view of an embodiment of a weighing scale device for a dynamic truck scale in accordance with an embodiment of the present invention;
FIG. 6 is a schematic diagram of an embodiment of a weighing scale apparatus for a dynamic truck scale in accordance with an embodiment of the present invention;
FIG. 7 is a force diagram of a sensor according to an embodiment of the present invention;
FIG. 8 is a schematic view of a tire and its contact with the ground according to an embodiment of the present invention;
FIG. 9a is a schematic diagram of a "trapezoidal" shaped curve of line pressure in an embodiment of the present invention;
FIG. 9b is a graph showing a peak line pressure curve according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of the line pressure of the tire to the ground at different tire pressures in an embodiment of the invention.
Detailed Description
The embodiment of the invention provides a weighing calibration method, device and equipment of a dynamic truck scale and a storage medium, which are used for reducing the weighing calibration cost of the dynamic truck scale and improving the weighing accuracy of the dynamic truck scale. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding, a specific flow of an embodiment of the present invention is described below, referring to fig. 1, and an embodiment of a method for calibrating weighing of a dynamic truck scale according to the embodiment of the present invention includes:
s101, selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external characteristic information of the target vehicle, and carrying out standard weighing on the target vehicle to obtain first weight data of the target vehicle;
it can be understood that the execution body of the invention can be a weighing calibration device of a dynamic truck scale, and can also be a terminal or a server, and the invention is not limited in particular. The embodiment of the invention is described by taking a server as an execution main body as an example.
It should be noted that, through the target vehicle (weight is known), the dynamic truck scale that needs to be calibrated is driven at the conventional running speed, the dynamic truck scale is related to uploading the relevant weighing data result set according to the obtained target vehicle, including the total weight of the vehicle, the axle weight, the wheelbase, the vehicle speed, the vehicle picture and the license plate number to the upper computer, and the upper computer performs automatic calibration according to the pre-filled weight information of the target vehicle, so as to achieve the requirements of GB_T21296-2020 national automatic weighing device standard of dynamic highway vehicle automatic weighing device and JJG907-2006 national metering and verification of dynamic highway vehicle automatic weighing device. In order to improve the reliability of automatic quick calibration, uncertainty of a dynamic weighing data measurement result in the calibration process is a content which needs to be considered, the dynamic truck scale is generally installed in the places such as a national road, a provincial road, an urban road, a highway and the like, a weighing sensor is generally of a sensor type suitable for high-speed weighing such as a quartz type, a flat type and a narrow type, and the accuracy level of the total weight of the vehicle is mainly 5-level and 10-level.
Specifically, the target vehicle: one or more vehicles of a biaxial rigid vehicle, a triaxial/tetraxial rigid vehicle, a tetraxial or more hinge vehicle are used as target calibration vehicles. Total weight of target vehicle: the target vehicle is standard weighed, and the standard weighing is performed on a static wagon balance in a verification period after a metering appliance type approval certificate is acquired. And filling the known first external characteristic information of the standard total weight, the axle number, the license plate number and the wheelbase information of the target vehicle into an upper computer of the weighing controller.
S102, calibrating a dynamic truck scale of a target vehicle based on a preset weighing area and a running scheme, and acquiring second external characteristic information of the target vehicle through a preset vehicle identification system and a vehicle separation system;
specifically, the driving method comprises the following steps: and the vehicle normally passes through the dynamic truck scale according to the actual condition of the site without road sealing. The target vehicle enters the weighing area. The vehicle identification system and the vehicle separation system transmit the external characteristic information of the vehicle passing through the weighing area to an upper computer management system of the weighing controller, and the upper computer receives the information of the vehicle passing through the weighing area sent by the vehicle identification system and the vehicle separation system to obtain second external characteristic information of the target vehicle.
S103, acquiring second weight data of the target vehicle in the dynamic truck scale calibration process, calling a preset data model, and generating at least one first calibration curve of the target vehicle according to the first weight data and the second weight data;
it should be noted that the data model: and (3) comparing the calculated weight result of the dynamic truck scale of the vehicle entering the weighing area for the first time with the standard total amount of the target vehicle, and checking the absolute value of the difference with the national automatic weighing apparatus standard of GB_T21296-2020 automatic weighing apparatus for dynamic road vehicles, and further adjusting a calibration curve so that the indication value of the weighing controller and the actual value of the total weight of the vehicle are in an error range. The upper computer calculates the total weight of the vehicle to form a calibration curve, and generates at least one first calibration curve of the target vehicle.
S104, carrying out vehicle information verification on the target vehicle according to the first external feature information and the second external feature information to obtain a vehicle information verification result;
specifically, the server performs vehicle information verification on the target vehicle according to the first external feature information and the second external feature information, calculates and matches the vehicle external feature information including the axle number, the axle base, the axle weight and the license plate number, and the upper computer performs verification comparison on the information and the pre-filled target vehicle external feature information to determine whether the information is the target vehicle or not, so as to obtain a vehicle information verification result.
S105, if the vehicle information verification result is that verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard according to at least one first calibration curve;
specifically, if the vehicle information verification result is that verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard according to at least one first calibration curve.
And S106, if the error range is met, generating target calibration data of the dynamic truck scale according to at least one first calibration curve, and performing data storage and curve integration on the target calibration data to generate a second calibration curve.
Specifically, the data are discarded when the preset information is not met, and the upper computer continues to monitor the vehicle detection area. And when the preset information is met, carrying out difference value calculation on the information and the preset total weight of the vehicle, and checking the allowable error of the national automatic weighing apparatus standard of GB_T21296-2020 dynamic road vehicle automatic weighing apparatus. And automatically storing the calculation result as calibration data when the error is allowed. And repeating and fine-tuning the calibration curve when the allowable error range is exceeded. When all lanes controlled by the weighing controller on the road are automatically calibrated, a complete calibration curve of the dynamic truck scale is formed independently, and a second calibration curve is generated.
In the embodiment of the invention, first external characteristic information and first weight data are acquired; calibrating a dynamic truck scale of a target vehicle, and acquiring second external characteristic information; acquiring second weight data, and generating at least one first calibration curve according to the first weight data and the second weight data; according to the first external feature information and the second external feature information, carrying out vehicle information verification on the target vehicle to obtain a vehicle information verification result; if the verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard; if the dynamic automobile balance is in accordance with the dynamic automobile balance, target calibration data of the dynamic automobile balance are generated according to at least one first calibration curve, and data storage and curve integration are carried out on the target calibration data to generate a second calibration curve.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Selecting a target vehicle based on a plurality of preset vehicle types, wherein the plurality of vehicle types comprise: a biaxial rigid vehicle, a triaxial rigid vehicle, a four-axis hinge vehicle and hinge vehicles with more than four axes;
(2) Acquiring first external feature information of a target vehicle, wherein the first external feature information comprises: standard vehicle total weight, axle number, license plate number and wheelbase information;
(3) And carrying out standard weighing on the target vehicle through a preset static wagon balance to obtain first weight data of the target vehicle.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, calibrating a dynamic truck scale of a target vehicle based on a preset weighing area and a running scheme;
s202, acquiring a license plate number of a target vehicle through a preset vehicle identification system, and acquiring an axle, a lane and a vehicle number of the target vehicle through a vehicle separation system;
s203, taking the license plate number of the target vehicle, the axle, the lane and the vehicle number of the target vehicle as second external characteristic information.
Specifically, a weighing area and a driving scheme are preset, namely, a route on which the vehicle needs to drive and an area on which weighing needs to be performed are determined. And (3) calibrating the dynamic truck scale of the target vehicle, namely weighing the vehicle in a preset weighing area through an electronic weighing sensor, and recording the weight, the weighing time and other information of the vehicle. The license plate number of the target vehicle is acquired through a preset vehicle identification system, namely the license plate of the vehicle is identified through an image identification technology, and the license plate number is associated with vehicle information. And acquiring the axle, the lane and the vehicle number of the target vehicle through the vehicle separation system, namely separating the target vehicle through a video analysis technology, and recording the information of the axle, the lane, the vehicle number and the like of the vehicle. And taking the license plate number, the axle, the lane and the vehicle number of the target vehicle as second external characteristic information, and correlating the license plate number, the axle, the lane and the vehicle number with vehicle weighing information.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, acquiring second weight data of a target vehicle in a dynamic truck scale calibration process;
s302, calculating target difference data between the first weight data and the second weight data through a preset data model;
S303, constructing at least one first calibration curve of the target vehicle according to the target difference data.
Specifically, the mathematical model of the target vehicle passing through the dynamic truck scale is as follows:
when the wheel passes the sensor, the stress of the sensor is shown in fig. 7, fig. 8 is a schematic diagram of the tire and the contact surface of the tire and the ground, namely the footprint of the wheel on the ground, the schematic diagram is shown in (a), (b) and (c) of fig. 7 (rectangle or ellipse), wherein P represents the increased gas pressure generated by the vehicle weight in the tire, and d is the width of the sensor along the advancing direction X; (d) The middle red arc line shows the deformation of the tire, the Z axis is vertical upwards, V is the speed of the vehicle and is consistent with the X direction; (e) And dx is the derivative of the X axis and represents the width of the sensor width d for an infinite hour. The pressure of the tire to the ground is equal to the superposition of the increased air pressure P generated by the weight of the vehicle in the tire and the deformation elastic force N (X, Y) of the tire, wherein P can be regarded as a constant, N (X, Y) is in direct proportion to the strain epsilon (X, Y) in the Z direction, the strain big elastic force at the coordinates (0, 0) (the center of the contact surface of the tire) is maximum, and the deformation elastic force is reduced to zero towards the edge. Assuming that the elastic coefficient of the tire is a constant k and the contact area with the ground is S, the total pressure of the tire to the ground or the weight W shared by the tire is:
Wherein PA is the main component in W. Written in differential form:
or (b)
This is the pressure distribution over the contact surface S, P is a large constant, k epsilon is slightly higher in the center and zero at the edges, which is a cylinder with a cross section of a in three-dimensional space, the upper surface being added with a slightly convex surface (flip-over in fig. 8 (d)) like a "bread" like surface lying on the XY plane. Y integrates the above only dy along the length direction of the sensor to obtain the distribution of the weight W along the X axis, namely the distribution of the line pressure along the X axis is as follows:
the sensor is considered herein to be a straight line with no width that is transverse to the path; in the above formula, ym (x) is the length of the contact section in the Y direction when x is the projected length of the tire in the sensor length direction. The line pressure f' (X) is the rate of change of the vehicle weight W with X on the contact surface S, and is the pressure (in N/m) on the X axis per unit line length. f' (x) is 0 outside the range of x values [0, a ]. The integral of this line pressure f' (x) is the vehicle weight W:
the shape of the f' (x) curve is a "trapezoid" curve (refer to (a) in fig. 7) with a slightly convex middle, which is mainly determined by ym (x), wherein the "trapezoid" curve is shown in fig. 9 a; when the section S is as in (b) or (c) of fig. 7, the curve of f' (x) becomes a spike curve, and the "spike curve" is as shown in fig. 9 b.
The shape of the section a in contact with the road surface (mainly, the trial degree in the advancing direction) is different for the same tire, and the peak value and the length of the line pressure curve are also different, and fig. 10 is a specific example, and fig. 10 is a schematic diagram of the line pressure of the tire against the ground at different tire pressures.
If the line pressure is known or can be measured by a sensor, the calculation formula of the vehicle weight W corresponding to the wheel axle is as follows:
where a is the maximum length of the wheel contact surface on the X-axis. That is, the vehicle weight W corresponding to the wheel is the area under the curve of fig. 9a, 9b or 10. Corresponding to fig. 10, wherein the 5 curves are different in shape, but the areas under the curves are the same.
Assuming that the tire is rolling at a constant speed V and its deformation is exactly the same as when it is stationary, the contact point of the tire with the sensor is stationary when it rolls over the "linear" sensor (fig. 8 (e)), but the sensor undergoes all the process of tire deformation, equivalent to the tire being stationary, while the sensor reaches the trailing edge at a speed V after the displacement a of the leading edge of the tire, the pressure over time, the time-line pressure F '(t) experienced by the sensor is exactly similar to F' (x) (fig. 9a and 9 b), assuming: whether rolling or resting, the pressure in the vertical direction is exactly the same, substituting x=vt for F '(x), which is the time-varying function of the line pressure F' (t):
Wherein, the corresponding value range of time t is 0-a/V, and the other F' (t) is 0; this F' (t) is a function of the waveform of the wheel weight W output by the linear sensor over time, the waveform having a width of a/V, i.e., the smaller the velocity V, the wider the waveform, and the greater the velocity V, the narrower the waveform. F' (t) integrates t, related to vehicle weight W:
or (b)
It can be seen that: the curve F' (t) of the wheel pressure change with time output by the sensor is integrated with time t and multiplied by the speed V of the vehicle, which is the vehicle weight W. Or, for the same axle, the area riding speed under the curve is always constant no matter how fast the vehicle is. Wherein F' (t) is still N/m. In other words, the integral of the curve F' (t) of the pressure output from the sensor over time is equal to the vehicle weight W divided by the vehicle speed V:
therefore, the higher the vehicle speed, the smaller the area under the F '(t) curve, whereas the lower the vehicle speed, or the more stationary, the larger the area under the F' (t) curve, or the more infinite, but the area under the curve multiplied by the vehicle speed is constant to the vehicle weight.
Considering that the front edge of the tire contacting the ground has impact deformation resistance from the ground and pointing to the wheel axle, and the rear edge has elastic force for deformation recovery from the direction of the wheel axle, the impact deformation resistance is larger than the elastic force for deformation recovery due to impact, especially at high speed, the resultant force of the horizontal component of the two forces forms the resistance for the tire to roll forward, the resultant force of the vertical component of the two forces makes the front edge and the rear edge of the F' (x) curve asymmetric, and the W calculated by the above formula has a certain error.
The actual sensor has a non-negligible width d and cannot be considered as a line sensor without width in the X-direction. For an actual sensor having a width d, assuming a thickness of 0, laid across a road, the force to which the sensor is subjected should be the sum of the pressures in the plane of the tyre ground, in width d, i.e. the integral value of f' (x) in width d, this sum being the static pressure of the sensor, noted as:
note that: since x in f' (x) dx is only an integral variable and x in G (x) is in the upper and lower limits of the integral, the strict writing of the above formula is:
that is, the variable x of G (x) appears only in the upper and lower limits of the integration, and x in f' (x) in the integral expression is only the integration amount.
The value range of the X of G (x) is [ -d/2, a+d/2], and the value of the X is wider than the value of the X of f' (x) by d of one sensor width. G (x) has the unit of N. For the integral calculation in G (x): because f' (x) is 0,G (x) integration beyond 0-a, the integration is performed in at least three segments:
the integral of G (x) is:
that is, the vehicle weight W is equal to the integrated value of the static pressure G (x) divided by the sensor width d. And (3) rewriting:
note that: where G (x)/d is equivalent to f '(x) and is f' (x) when d tends to 0 (i.e., a microtankd x):
As above, the time-varying function of a sensor of width d, denoted as F (t), is called the dynamic pressure of the sensor, i.e., x in G (x) is replaced by Vt:
this F (t) is the original waveform curve of the actual sensor output. The value range of t in F (t) is [ (-d/2)/V, (a+d/2)/V), and the value range is widened by d/V than F' (t). F (t) has the unit of N.
Integrate F (t):
because F (t) is 0 outside of the effective time [ - (d/2)/V, (a+d/2)/V ], the upper and lower limits of the integral may not be written:
that is, the vehicle weight W is equal to the integrated value of the dynamic pressure F (t) multiplied by the vehicle speed V divided by the sensor width d. Or, W is equal to F (t) integral divided by the time the vehicle is traveling across the width of the sensor (d/V).
If F (t) acts directly on the sensor, the output voltage is calculated with us=q/cs=d11×f (t)/Cs, then there are:
in an actual sensor, d is the width of the bearing surface of the wheel, is inconsistent with the linear dimension r of the sensor therein, and r < < d. Assuming that the forces on the force bearing surface are all linearly transferred to the crystal, the calculation of G (x) is unchanged in the above analytical calculation formula, d is still used, and d in the equivalent G (x)/d is changed to r. That is, d in all the calculation formulas of W is changed to r.
Therefore, for an actual sensor, the calculation formula of the vehicle weight W is:
where r is the linear dimension in the horizontal x-direction, or the side length in the x-direction.
Regarding the vehicle speed V, it can be calculated from the distance D between the front and rear sensors and the time T between the corresponding peaks of the two sensor signals: v=d/T
In an actual sensor, all crystals are output in parallel, namely all crystal charges are output after being combined. If the combined voltage is u (t), the total parallel capacitance is constant C
The horizontal axis is the number of sampling sequences (set the sampling rate as b); u1, u2, u3 and u4 are sensor output voltages with zero drift and background noise removed; the lowest z is a combined pattern formed by squaring sensor pulses u1 and u2, wherein the first 2 and the last 2 of 4 square waves are corresponding pulses of 2 sensors with a distance D, the front wheel and the rear wheel are respectively provided with a transverse axis interval n1 of the first 2 pulses, the transverse axis interval n2 of the last 2 pulses, and the vehicle speed can be respectively measured as follows: v1=d/(n 1/b), v2=d/(/ b), or n= (n1+n2)/2, averaged, the average speed is: v=d×b/n; similarly, after squaring the pulses u3 and u4, n= (n3+n4)/2 is present, and the average value n= (n1+n2+n3+n4)/4 of these 2 n is taken to calculate the velocity:
V=4*D*b/(n1+n2+n3+n4)；
the sum of the integrals of pulses u1, u2, or pulses u3, u4, respectively, can be used to calculate W; and the integral is equal to the sum of the sampling values and divided by the sampling rate r; taking the average value S of the sum of 2 integrals as the integral value in the formula W: s= Σ [ u1+u2+u3+u4]/b/2
The calculation formula for substituting V and S into W includes:
the calculation of the vehicle weight W is independent of the sampling rate b and is only related to the sum of the effective values of the samples [ u1+u2+u3+u4] V and the sum of the numbers of samples (n1+n2+n3+n4) of the pulse intervals of the front and rear sensors pressed by the front and rear wheels! Where d11=22.64 pC/kg, d=2.5 m, if r=0.0125 m, then there is actually measured c=4.0 nF
If r=0.0111 m, then
According to the formula
Wherein:
delta: calibrating relative dynamic error measurement value of dynamic truck scale
TMV ref : total weight of target vehicle
TMV: the target vehicle weighs the total weight of the vehicle displayed by the display each time the target vehicle passes the dynamic truck scale requiring calibration.
When |delta| >2MPEV, the display value of the weighing is greatly different from the actual weight of the target vehicle, and the calibration curve needs to be adjusted, namely the target vehicle needs to pass through the dynamic truck scale which needs to be calibrated for the second time.
When the MPEV < |delta| is less than or equal to 2MPEV, the actual weight of the weighing display value and the target lane meets the use requirement, but does not meet the first verification requirement, and the target vehicle needs to pass through the dynamic truck scale which needs to be calibrated for the third time.
When the delta is less than or equal to MPEV, the modified automobile scale is proved to meet the requirements of the national automatic weighing apparatus standard of the dynamic road vehicle automatic weighing apparatus and the national metering verification regulations of the dynamic road vehicle automatic weighing apparatus of JJG907-2006 of GB_T 21296-2020.
The maximum allowable error absolute value (MPEV) of the total weight of the vehicle of the dynamic truck scale is 2.5% when the accuracy class is 5, and 5.0% when the accuracy class is 10.
In a specific embodiment, as shown in fig. 4, the process of executing step S104 may specifically include the following steps:
s401, comparing the first external feature information with the second external feature information to obtain a feature information comparison result;
s402, generating a vehicle information verification result of the target vehicle according to the characteristic information comparison result, wherein the vehicle information verification result comprises the following steps: pass and fail the verification.
In a specific embodiment, the process of executing step S105 may specifically include the following steps:
(1) If the vehicle information verification result is that verification passes, inquiring target difference value data corresponding to at least one first calibration curve;
(2) Judging whether the target difference value data accords with the error range of a preset verification metering standard or not;
(3) If the target difference value data is smaller than or equal to the preset error range, determining that the target vehicle accords with the error range;
(4) And if the target difference value data is larger than the preset error range, determining that the target vehicle does not accord with the error range.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) If the error range is met, generating target calibration data of the dynamic truck scale according to at least one first calibration curve;
(2) And storing the target calibration data, and integrating the at least one first calibration curve to generate a second calibration curve.
The method for calibrating the weighing of the dynamic truck scale in the embodiment of the present invention is described above, and the device for calibrating the weighing of the dynamic truck scale in the embodiment of the present invention is described below, referring to fig. 5, one embodiment of the device for calibrating the weighing of the dynamic truck scale in the embodiment of the present invention includes:
the acquiring module 501 is configured to select a target vehicle based on a plurality of preset vehicle types, acquire first external feature information of the target vehicle, and perform standard weighing on the target vehicle to obtain first weight data of the target vehicle;
the calibration module 502 is configured to perform dynamic truck scale calibration on the target vehicle based on a preset weighing area and a running scheme, and obtain second external feature information of the target vehicle through a preset vehicle identification system and a vehicle separation system;
A processing module 503, configured to obtain second weight data of the target vehicle in the dynamic truck scale calibration process, and call a preset data model, and generate at least one first calibration curve of the target vehicle according to the first weight data and the second weight data;
a verification module 504, configured to perform vehicle information verification on the target vehicle according to the first external feature information and the second external feature information, to obtain a vehicle information verification result;
the judging module 505 is configured to judge whether the target vehicle meets an error range of a preset verification metering standard according to the at least one first calibration curve if the vehicle information verification result is that verification passes;
and the generating module 506 is configured to generate target calibration data of the dynamic truck scale according to the at least one first calibration curve if the error range is met, and store the target calibration data and integrate the curves to generate a second calibration curve.
Acquiring first external characteristic information and first weight data through the cooperative cooperation of the components; calibrating a dynamic truck scale of a target vehicle, and acquiring second external characteristic information; acquiring second weight data, and generating at least one first calibration curve according to the first weight data and the second weight data; according to the first external feature information and the second external feature information, carrying out vehicle information verification on the target vehicle to obtain a vehicle information verification result; if the verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard; if the dynamic automobile balance is in accordance with the dynamic automobile balance, target calibration data of the dynamic automobile balance are generated according to at least one first calibration curve, and data storage and curve integration are carried out on the target calibration data to generate a second calibration curve.
The weighing and calibrating device of the dynamic truck scale in the embodiment of the invention is described in detail from the angle of modularized functional entity in fig. 5, and the weighing and calibrating device of the dynamic truck scale in the embodiment of the invention is described in detail from the angle of hardware processing.
Fig. 6 is a schematic structural diagram of a weighing calibration apparatus of a dynamic truck scale according to an embodiment of the present invention, where the weighing calibration apparatus 600 of the dynamic truck scale may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations for the weighing scale device 600 of the dynamic truck scale. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the weighing scale device 600 of the dynamic truck scale.
The weighing scale apparatus 600 of the dynamic truck scale may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input/output interfaces 660, and/or one or more operating systems 631, such as Windows Server, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the weighing scale arrangement of the dynamic truck scale illustrated in FIG. 6 is not limiting of the weighing scale arrangement of the dynamic truck scale and may include more or fewer components than illustrated, or may be a combination of certain components, or a different arrangement of components.
The invention also provides a weighing and calibrating device of the dynamic truck scale, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the weighing and calibrating method of the dynamic truck scale in the embodiments.
The invention also provides a computer readable storage medium, which can be a nonvolatile computer readable storage medium, and can also be a volatile computer readable storage medium, wherein instructions are stored in the computer readable storage medium, and when the instructions run on a computer, the instructions cause the computer to execute the steps of the weighing calibration method of the dynamic truck scale.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random acceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The weighing calibration method of the dynamic truck scale is characterized by comprising the following steps of:
selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external characteristic information of the target vehicle, and carrying out standard weighing on the target vehicle to obtain first weight data of the target vehicle;
based on a preset weighing area and a running scheme, calibrating a dynamic truck scale of the target vehicle, and acquiring second external characteristic information of the target vehicle through a preset vehicle identification system and a vehicle separation system;
acquiring second weight data of the target vehicle in the dynamic truck scale calibration process, calling a preset data model, and generating at least one first calibration curve of the target vehicle according to the first weight data and the second weight data; acquiring second weight data of the target vehicle in the dynamic truck scale calibration process; calculating target difference data between the first weight data and the second weight data through a preset data model; constructing at least one first calibration curve of the target vehicle according to the target difference data; specifically, the data model includes the following steps: when the wheels of the target vehicle pass the sensor, the gas pressure generated by the weight of the vehicle in the tire is represented by P, and d is the width of the sensor along the advancing direction X of the target vehicle; the pressure of the tire to the ground is equal to the superposition of an increased air pressure P generated by the weight of the vehicle and a tire deformation elastic force N (X, Y), wherein P is a constant, N (X, Y) is in direct proportion to Z-direction strain epsilon (X, Y), and coordinates (0, 0), wherein the coordinates (0, 0) represent that the strain big elastic force at the center of the contact surface of the tire is maximum, the elastic coefficient of the tire is set as a constant k, the contact area with the ground is set as S, and the weight W of the vehicle is:
Wherein PA is a main component in the vehicle weight W, written in differential form:
and integrating dy to obtain the line pressure f '(X) distribution of the vehicle weight W along the X axis, wherein the line pressure f' (X) distribution is as follows:
wherein y is m (x) The length of the contact section in the Y direction at x is shown, and f' (x) is the vehicle weight W which follows the contact surface SThe rate of change of x, the integral of f' (x) is the vehicle weight W:
where a is the maximum length of the wheel contact surface on the X axis, when the tire rolls at a constant speed V, equivalent to the tire resting and the sensor reaching the trailing edge at a speed V after displacement a from the leading edge of the tire, substituting x=vt into F '(X) to obtain a time-varying function F' (t) of line pressure:
wherein, the corresponding value range of the time t is 0-a/V, and F' (t) is 0; f' (t) is a waveform function of the change of the wheel weight W with time output by the linear sensor, and the waveform width is a/V; the integral of the curve F' (t) of the pressure variation with time output from the sensor is equal to the vehicle weight W divided by the vehicle speed V:
from the integral value of F' (x) over the width d, the static pressure of the sensor is obtained, denoted as G (x), the vehicle weight W is equal to the integral value of the static pressure G (x) divided by the sensor width d, the time-varying function of the sensor corresponding to the width d is denoted as F (t), called the dynamic pressure of the sensor, x in G (x) is replaced by Vt:
Wherein F (t) is a first calibration curve output by the sensor;
according to the first external feature information and the second external feature information, carrying out vehicle information verification on the target vehicle to obtain a vehicle information verification result;
if the vehicle information verification result is that verification passes, judging whether the target vehicle accords with an error range of a preset verification metering standard according to the at least one first calibration curve;
and if the error range is met, generating target calibration data of the dynamic truck scale according to the at least one first calibration curve, and performing data storage and curve integration on the target calibration data to generate a second calibration curve.
2. The method for calibrating the weighing of the dynamic truck scale according to claim 1, wherein the selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external feature information of the target vehicle, and performing standard weighing on the target vehicle to obtain first weight data of the target vehicle comprises:
selecting a target vehicle based on a plurality of preset vehicle types, wherein the plurality of vehicle types comprise: a biaxial rigid vehicle, a triaxial rigid vehicle, a four-axis hinge vehicle and hinge vehicles with more than four axes;
Acquiring first external feature information of the target vehicle, wherein the first external feature information comprises: standard vehicle total weight, axle number, license plate number and wheelbase information;
and carrying out standard weighing on the target vehicle through a preset static wagon balance to obtain first weight data of the target vehicle.
3. The method for calibrating the weighing of the dynamic truck scale according to claim 1, wherein the step of calibrating the dynamic truck scale for the target vehicle based on the preset weighing area and the running scheme and obtaining the second external feature information of the target vehicle through the preset vehicle identification system and the vehicle separation system comprises the following steps:
based on a preset weighing area and a running scheme, calibrating the dynamic truck scale of the target vehicle;
collecting license plate numbers of the target vehicle through a preset vehicle identification system, and obtaining axles, lanes and vehicle numbers of the target vehicle through the vehicle separation system;
and taking the license plate number of the target vehicle, the axle, the lane and the vehicle number of the target vehicle as second external characteristic information.
4. The method for calibrating the weighing of the dynamic truck scale according to claim 1, wherein the step of performing a vehicle information verification on the target vehicle according to the first external feature information and the second external feature information to obtain a vehicle information verification result comprises the steps of:
Comparing the first external characteristic information with the second external characteristic information to obtain a characteristic information comparison result;
and generating a vehicle information verification result of the target vehicle according to the characteristic information comparison result, wherein the vehicle information verification result comprises the following steps: pass and fail the verification.
5. The method for calibrating weighing of a dynamic truck scale according to claim 1, wherein if the vehicle information verification result is verification passing, determining whether the target vehicle meets an error range of a preset verification metering standard according to the at least one first calibration curve comprises:
if the vehicle information verification result is that verification passes, inquiring target difference value data corresponding to the at least one first calibration curve;
judging whether the target difference value data accords with an error range of a preset verification metering standard or not;
if the target difference value data is smaller than or equal to a preset error range, determining that the target vehicle accords with the error range;
and if the target difference value data is larger than a preset error range, determining that the target vehicle does not accord with the error range.
6. The method for weighing and calibrating the dynamic truck scale according to claim 1, wherein if the error range is met, generating target calibration data of the dynamic truck scale according to the at least one first calibration curve, and performing data storage and curve integration on the target calibration data to generate a second calibration curve, wherein the method comprises the steps of:
If the error range is met, generating target calibration data of the dynamic truck scale according to the at least one first calibration curve;
and storing the target calibration data, and integrating the at least one first calibration curve to generate a second calibration curve.
7. The utility model provides a weighing calibration device of dynamic truck scale which characterized in that, weighing calibration device of dynamic truck scale includes:
the acquisition module is used for selecting a target vehicle based on a plurality of preset vehicle types, acquiring first external characteristic information of the target vehicle, and carrying out standard weighing on the target vehicle to obtain first weight data of the target vehicle;
the calibration module is used for carrying out dynamic truck scale calibration on the target vehicle based on a preset weighing area and a running scheme, and acquiring second external characteristic information of the target vehicle through a preset vehicle identification system and a vehicle separation system;
the processing module is used for acquiring second weight data of the target vehicle in the dynamic truck scale calibration process, calling a preset data model and generating at least one first calibration curve of the target vehicle according to the first weight data and the second weight data; acquiring second weight data of the target vehicle in the dynamic truck scale calibration process; calculating target difference data between the first weight data and the second weight data through a preset data model; constructing at least one first calibration curve of the target vehicle according to the target difference data; specifically, the data model includes the following steps: when the wheels of the target vehicle pass the sensor, the gas pressure generated by the weight of the vehicle in the tire is represented by P, and d is the width of the sensor along the advancing direction X of the target vehicle; the pressure of the tire to the ground is equal to the superposition of an increased air pressure P generated by the weight of the vehicle and a tire deformation elastic force N (X, Y), wherein P is a constant, N (X, Y) is in direct proportion to Z-direction strain epsilon (X, Y), and coordinates (0, 0), wherein the coordinates (0, 0) represent that the strain big elastic force at the center of the contact surface of the tire is maximum, the elastic coefficient of the tire is set as a constant k, the contact area with the ground is set as S, and the weight W of the vehicle is:
Wherein PA is a main component in the vehicle weight W, written in differential form:
and integrating dy to obtain the line pressure f '(X) distribution of the vehicle weight W along the X axis, wherein the line pressure f' (X) distribution is as follows:
wherein y is m (x) The length of the contact section in the Y direction at x is shown, f '(x) is the rate of change of the vehicle weight W with x on the contact surface S, and the integral of f' (x) is the vehicle weight W:
where a is the maximum length of the wheel contact surface on the X axis, when the tire rolls at a constant speed V, equivalent to the tire resting and the sensor reaching the trailing edge at a speed V after displacement a from the leading edge of the tire, substituting x=vt into F '(X) to obtain a time-varying function F' (t) of line pressure:
wherein, the corresponding value range of the time t is 0-a/V, and F' (t) is 0; f' (t) is a waveform function of the change of the wheel weight W with time output by the linear sensor, and the waveform width is a/V; the integral of the curve F' (t) of the pressure variation with time output from the sensor is equal to the vehicle weight W divided by the vehicle speed V:
from the integral value of F' (x) over the width d, the static pressure of the sensor is obtained, denoted as G (x), the vehicle weight W is equal to the integral value of the static pressure G (x) divided by the sensor width d, the time-varying function of the sensor corresponding to the width d is denoted as F (t), called the dynamic pressure of the sensor, x in G (x) is replaced by Vt:
Wherein F (t) is a first calibration curve output by the sensor;
the verification module is used for verifying the vehicle information of the target vehicle according to the first external characteristic information and the second external characteristic information to obtain a vehicle information verification result;
the judging module is used for judging whether the target vehicle accords with the error range of a preset verification metering standard according to the at least one first calibration curve if the vehicle information verification result is that verification passes;
and the generating module is used for generating target calibration data of the dynamic truck scale according to the at least one first calibration curve if the error range is met, and performing data storage and curve integration on the target calibration data to generate a second calibration curve.
8. The utility model provides a weighing calibration equipment of dynamic truck scale which characterized in that, weighing calibration equipment of dynamic truck scale includes: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the weighing scale device of the dynamic truck scale to perform the weighing scale method of the dynamic truck scale of any one of claims 1-6.
9. A computer readable storage medium having instructions stored thereon, wherein the instructions when executed by a processor implement a method of weighing calibration of a dynamic truck scale according to any one of claims 1-6.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271015A (en) * | 2007-03-23 | 2008-09-24 | 北京万集科技有限责任公司 | Dynamic vehicle weighing method and system |
| CN102628708A (en) * | 2012-04-11 | 2012-08-08 | 中铁大桥局集团武汉桥梁科学研究院有限公司 | Vehicle load dynamic weighing method for orthotropic bridge deck steel box girder bridge |
| CN110440888A (en) * | 2019-07-17 | 2019-11-12 | 首钢京唐钢铁联合有限责任公司 | Automatic judgment method and device for stable state of truck scale |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100476375C (en) * | 2007-02-01 | 2009-04-08 | 上海交通大学 | Automobile dynamic weighing sensor device |
| CN100489466C (en) * | 2007-08-10 | 2009-05-20 | 中国航天科技集团公司第四研究院第四十四研究所 | Self-adaptive filtering method of dynamic axle weighing signal of vehicle |
| CN101666674B (en) * | 2009-09-30 | 2011-01-12 | 江西赣粤高速公路股份有限公司 | Dynamic measuring detection method of highway toll station measuring weighing instrument |
| CH702963A1 (en) * | 2010-04-01 | 2011-10-14 | Kistler Holding Ag | Method for calibration of sensors wim. |
| EP2533024B1 (en) * | 2011-06-09 | 2014-03-19 | Mettler-Toledo AG | Force transferring device with attachable calibration weight |
| CN102809413B (en) * | 2012-08-06 | 2014-08-27 | 北京万集科技股份有限公司 | Detecting method and detecting device for rigged dynamic weighing of vehicle |
| US20150100273A1 (en) * | 2013-10-09 | 2015-04-09 | Mehran Safdar | Automatic vehicle monitoring system and navigation monitoring system |
| CN104792395B (en) * | 2015-03-24 | 2017-06-23 | 中国计量科学研究院 | A kind of complete-vehicle-type dynamic automobile scale axle remeasurement and calibration method |
| CN105136264B (en) * | 2015-09-29 | 2017-09-22 | 北京万集科技股份有限公司 | It is a kind of to combine the weight acquisition methods and device, weighing system weighed based on multi-site |
| JP6556010B2 (en) * | 2015-10-02 | 2019-08-07 | 大和製衡株式会社 | Weighing device |
| CN109916483B (en) * | 2017-12-13 | 2021-10-15 | 北京万集科技股份有限公司 | Weighing equipment combined monitoring method and device |
| CN109916494B (en) * | 2017-12-13 | 2021-10-15 | 北京万集科技股份有限公司 | Weighing equipment calibration method and device |
| CN111627221A (en) * | 2020-04-02 | 2020-09-04 | 深圳亿维锐创科技股份有限公司 | Automatic comprehensive detection system based on no-parking dynamic intelligent weighing |
| CA3177901C (en) * | 2020-06-01 | 2024-01-02 | Ido Merkado | Systems and methods for retail environments |
| CN115371790B (en) * | 2022-09-07 | 2024-12-06 | 中国兵器科学研究院宁波分院 | Sensor calibration and weighing method for vehicle dynamic weighing system |
| CN115540987B (en) * | 2022-09-19 | 2023-07-14 | 蚌埠高灵传感系统工程有限公司 | Dynamic vehicle overload detection method and control device based on load sensor |
| CN115790804B (en) * | 2023-02-08 | 2023-04-21 | 福建省智能交通信息工程有限公司 | Dynamic truck scale state monitoring method, medium, equipment and device |
-
2023
- 2023-04-18 CN CN202310415707.8A patent/CN116124269B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271015A (en) * | 2007-03-23 | 2008-09-24 | 北京万集科技有限责任公司 | Dynamic vehicle weighing method and system |
| CN102628708A (en) * | 2012-04-11 | 2012-08-08 | 中铁大桥局集团武汉桥梁科学研究院有限公司 | Vehicle load dynamic weighing method for orthotropic bridge deck steel box girder bridge |
| CN110440888A (en) * | 2019-07-17 | 2019-11-12 | 首钢京唐钢铁联合有限责任公司 | Automatic judgment method and device for stable state of truck scale |
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