CN115235598B - Weighing method of quartz weighing sensor - Google Patents
Weighing method of quartz weighing sensor Download PDFInfo
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- CN115235598B CN115235598B CN202211001820.3A CN202211001820A CN115235598B CN 115235598 B CN115235598 B CN 115235598B CN 202211001820 A CN202211001820 A CN 202211001820A CN 115235598 B CN115235598 B CN 115235598B
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- 238000005303 weighing Methods 0.000 title claims abstract description 131
- 239000010453 quartz Substances 0.000 title claims abstract description 26
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000006870 function Effects 0.000 claims description 21
- SLXKOJJOQWFEFD-UHFFFAOYSA-N 6-aminohexanoic acid Chemical compound NCCCCCC(O)=O SLXKOJJOQWFEFD-UHFFFAOYSA-N 0.000 claims description 6
- 230000007704 transition Effects 0.000 claims description 6
- 238000006073 displacement reaction Methods 0.000 claims description 3
- 230000002787 reinforcement Effects 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 abstract description 4
- 230000009191 jumping Effects 0.000 abstract 1
- 230000000694 effects Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000009434 installation Methods 0.000 description 4
- 238000010801 machine learning Methods 0.000 description 3
- 238000004088 simulation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G3/00—Weighing apparatus characterised by the use of elastically-deformable members, e.g. spring balances
- G01G3/12—Weighing apparatus characterised by the use of elastically-deformable members, e.g. spring balances wherein the weighing element is in the form of a solid body stressed by pressure or tension during weighing
- G01G3/13—Weighing apparatus characterised by the use of elastically-deformable members, e.g. spring balances wherein the weighing element is in the form of a solid body stressed by pressure or tension during weighing having piezoelectric or piezoresistive properties
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Force Measurement Appropriate To Specific Purposes (AREA)
Abstract
The invention belongs to the technical field of weighing sensors, in particular to a weighing method of a quartz weighing sensor, which comprises a rectangular array mounting strip provided with the weighing sensor and a road for mounting the mounting strip. Step one, mounting the mounting strips on the road along a rectangular array in the length direction of the road, wherein the mounting strips are divided into two groups and are mounted at equal intervals, and step two, marking all weighing sensors on the mounting strips. According to the weighing method of the quartz weighing sensor, the mounting strips are arranged to be divided into two groups, the two groups are arranged at equal intervals, 3 to 6 rows of weighing sensors 1 can be arranged, the distance between two adjacent rows of weighing sensors is between 40 and 80cm, a wire slot is more convenient to set at a large distance, the length of the weighing sensor for analyzing abnormal running of the vehicle is between 1.5 and 2m, and the weighing sensors pressed by abnormal running of the vehicle can be continuously arranged or arranged in a jumping manner.
Description
Technical Field
The invention relates to the technical field of weighing sensors, in particular to a weighing method of a quartz weighing sensor.
Background
The width of standard lane is approximately 3.75m, in order to reach the effect of vehicle weighing, need transversely lay two quartz weighing sensor (1.75 m+2 m) to along vertically laying the multirow, usually not only have a lane, have when the double track, the vehicle exists the situation that strides the lane to travel for the tire passes the butt joint end of quartz weighing sensor, influences weighing data, needs to solve this problem.
In addition, in the existing wagon balance weighing method, the state of the weighing vehicle on the wagon balance is corrected or judged by means of a manual or visual camera, so that not only is the manual labor wasted, but also certain errors exist in manual judgment, and particularly when the state is bordered, the standard is difficult to grasp.
Disclosure of Invention
Based on the technical problem that the existing weighing method of the weighing sensor is prone to error, the invention provides a weighing method of a quartz weighing sensor.
The invention provides a weighing method of a quartz weighing sensor, which comprises a rectangular array mounting strip provided with the weighing sensor and a road for mounting the mounting strip or a road through which a vehicle passes.
Step one, mounting the mounting strips on the road along a rectangular array in the length direction of the road, wherein the mounting strips are divided into two groups and are mounted at equal intervals.
And secondly, marking all weighing sensors on the mounting strip, synchronizing marked information into the wagon balance weighing system and displaying the marked information on a display.
And thirdly, after the wheels of the vehicle run on the road, feeding back the pressure value displayed by the weighing sensor pressed below the wheels into the wagon balance system to calculate the position information of the wheels.
And step four, judging whether the position of the vehicle on the road accords with a normal vehicle position value according to the position information of the wheels.
Preferably, pressure switches for sensing the entering direction of the vehicle and controlling the starting and stopping of the whole wagon balance are arranged at the two ends of the road.
Preferably, in the first step, one set of the mounting bars is arranged along the width direction of the road and then extends to two side edges of the road, and the other set of the mounting bars is arranged on the road along the vehicle wheel entering track in a distributed manner, and is distributed in a mirror symmetry manner by taking the central line of the road in the length direction as a symmetry line.
Through the technical scheme, the vehicle in normal running can be weighed while the vehicle is weighed through the weighing sensor due to the running across the lane, so that the effect of weighing the vehicle in an abnormal distribution state is achieved.
Preferably, the weighing sensors adjacent to each other in the front-rear direction and the left-right direction are distributed in a rectangular array, and the distance between the weighing sensors is smaller than the width of the wheel.
Through the technical scheme, the distance between the weighing sensors is smaller than the width of the wheels, so that the wheels can be at least pressed to one weighing sensor, and the accuracy of weighing data is effectively guaranteed.
Preferably, in the second step, the marked weighing sensor is put into a reinforcement learning model to form an intelligent learning system.
Preferably, the intelligent learning system comprises the steps of:
P1, constructing an environment;
P2, rewarding strategy;
p3, digitizing the model.
Through the technical scheme, a learning model can be made for the wagon balance weighing system, an intelligent machine learning model is given to the wagon balance weighing system, the weighing system capable of calculating the wagon balance rapidly through digital simulation is realized, and an intelligent effect is achieved.
Preferably, the pressure switch is pressed by the wheels, then the wagon balance system is started, and the advancing direction of the wheels is judged to be the target direction, so that an environment coordinate system is constructed;
Setting the profit/cost obtained by the vehicle moving from the current pressure switch area to another area close to the target area as a reward, setting the action of moving to the adjacent weighing sensor area as an instantaneous reward, and forming a positive reward by the sum of the instantaneous rewards of the action close to the designated target area, and otherwise, setting the positive reward as a negative reward; by rewarding this strategy, states and sequences of actions taken by the vehicle to weigh from an initial state to a final state are specified, such sequences being referred to as trajectories, the sum of instantaneous rewards along a trajectory being referred to as rewards;
when the sum of rewards is equal, the first path is the smallest turning or turning number.
Preferably, the current running state S t epsilon S of the wheels of the wagon balance system is obtained through the time t of each weighing sensor, then the system selects the action a t epsilon A of the position of the target weighing sensor, the actual displacement S t+1 epsilon S generated by the wheels and receives an instant prize
rt＝r(st,at,st+1)∈R
S and A are the state space and the action space, respectively, and accordingly, r (S t,at,s/) is called the instantaneous rewards function;
The initial position S 1 is determined from the probability distribution of the initial position of the wheel in the current load cell area, where the state space S is divided into discrete and continuous:
If the state space S is discrete, i.e. the initial probability distribution is determined by the probability mass function P (S) and satisfies
If the state space S is continuous, i.e. the initial probability distribution is determined by the probability density function p (S), and satisfies:
∫s∈Sp(s)ds＝1
Since the probability mass function can be expressed using the dirk function δ(s) and the probability density function:
preferably, when the running state of the wheel is a continuous state space: the dynamics of the environment within the target area set in the wagon balance system is expressed as transition probabilities from state s to state s / when action a is taken, expressed by a transition probability distribution given a conditional probability density p (s / i s, a):
determining a decision of the vehicle by using a strategy pi, wherein the strategy can be used as a function of the state:
Action a may be either discrete or continuous, and in a wagon balance system, the direction of travel of the wheels is uncertain, so a random strategy is adopted, in which the action adopted by each state is determined by probability, and is regarded as the conditional probability density of the state s adopting the action a:
Preferably, in the fourth step, whether the weighing position of the vehicle exceeds a preset value is determined according to the feedback information of the weighing sensor pressed by the wheel;
The information fed back by the weighing sensor comprises an included angle A between the vehicle and the road and a distance L between the center point of the vehicle and the center line of the road.
Through the technical scheme, whether the vehicle is out of the normal weighing state on the road can be judged by considering the numerical value of the set included angle A and the distance L.
The beneficial effects of the invention are as follows:
1. through setting up the installation of equidistant interval distribution behind the installation strip divide into two sets of, 3 to 6 rows can be established to multirow weighing sensor 1, and the distance between two adjacent rows of weighing sensor is between 40 to 80cm, and the great distance is more convenient for set up the wire casing, and the length of vehicle unusual run analysis weighing sensor is 1.5m to 2m, and the weighing sensor that the vehicle was pressed in unusual running can set up or jump the row setting in succession.
2. Through setting up intelligent learning system, can be to the weight scale weighing system model of learning, give the weight scale weighing system intelligent machine model of learning, realize the weighing system of digital simulation calculation weight scale fast, reach intelligent effect.
Drawings
FIG. 1 is a schematic diagram of a weighing method of a quartz weighing sensor according to the present invention;
FIG. 2 is a top view of the mounting distribution of a weighing sensor structure of a weighing method of a quartz weighing sensor according to the present invention;
FIG. 3 is a top view of a wheel hold down load cell of a method of weighing a quartz load cell according to the present invention;
FIG. 4 is a diagram showing a state of turning a wheel right in a weighing method of a quartz weighing sensor according to the present invention;
FIG. 5 is a left wheel turning state diagram of a weighing method of a quartz weighing sensor according to the present invention;
FIG. 6 is a rectangular array distribution diagram of a weighing sensor structure of a weighing method of a quartz weighing sensor according to the present invention;
FIG. 7 is a diagram of an intelligent learning system of a weighing method of a quartz weighing sensor according to the present invention;
Fig. 8 is a top view of the state and position of a wheel and a road in a weighing method of a quartz weighing sensor according to the present invention.
In the figure: 1. a weighing sensor; 2. a mounting bar; 3. a road; 4. a pressure switch; 5. and (3) a wheel.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Referring to fig. 1 to 8, a weighing method of a quartz weighing sensor includes a rectangular array of mounting bars 2 on which a weighing sensor 1 is mounted and a road 3 for mounting the mounting bars 2 or directly on a road through which a vehicle passes, and is directly mounted on a road surface, without constructing the road 3 alone, while the vehicle can be weighed in a state in which the vehicle is not stopped, and dynamic weighing can be achieved by using the quartz weighing sensor for the weighing sensor 1.
Further, a pressure switch 4 for sensing the vehicle entering direction and controlling the start and stop of the whole wagon balance is arranged at the two ends of the road 3.
Step one, mounting the mounting strips 2 on the road 3 along a rectangular array in the length direction of the road 3, and mounting the mounting strips 2 in two groups at equal intervals.
Further, in the first step, one set of the mounting bars 2 is disposed along the width direction of the road 3 and then extends to the two side edges of the road 3, and the other set of the mounting bars 2 is mounted on the road 3 along the entry track of the vehicle wheel 5 in a mirror symmetry manner with the center line of the road 3 in the length direction as a symmetry line.
The vehicle can be weighed when the vehicle which normally runs, and the vehicle can be weighed through the weighing sensor 1 due to the running of the vehicle crossing the lane, so that the effect of weighing the vehicle in the abnormal distribution state is achieved.
Further, the weighing sensors 1 adjacent to each other in the front-rear direction and the left-right direction are distributed in a rectangular array, and the distance between the weighing sensors 1 is smaller than the width of the wheel 5.
The space between the weighing sensors 1 is smaller than the width of the wheels 5, so that the wheels can be at least pressed to one weighing sensor 1, and the accuracy of weighing data is effectively guaranteed.
And secondly, marking all the weighing sensors 1 on the mounting strip 2, and synchronizing marked information into the wagon balance weighing system and displaying the marked information on a display.
In order to further count or learn or simulate the position information of the vehicle on the road 3, in step two, the marked load cell 1 is put into the reinforcement learning model to form an intelligent learning system.
Further, the intelligent learning system includes the steps of:
p1, environment construction:
further, the pressure switch 4 is pressed by the wheel 5, then a wagon balance system is started, and the advancing direction of the wheel 5 is judged to be the target direction, so that an environment coordinate system is constructed;
As shown in fig. 7, P2, rewards policy:
Setting the profit/cost obtained by the vehicle moving from the current pressure switch 4 area to another area close to the target area as a reward, setting the action of moving to the adjacent weighing sensor 1 area as an instantaneous reward, and setting the sum of the instantaneous rewards of the actions close to the designated target area as a positive reward, and otherwise setting the sum as a negative reward; by rewarding this strategy, the states and sequences of actions taken by the vehicle to weigh from an initial state to a final state are specified, such sequences being referred to as trajectories, and the sum of instantaneous rewards along a trajectory being referred to as rewards.
When the sum of rewards is equal, the first path is the smallest turning or turning number.
P3, a digital model:
Through the time t of each weighing sensor 1, the current running state S t epsilon S of the wagon balance system wheel 5, then the system selects the action a t epsilon A of the position of the target weighing sensor 1, the actual displacement S t+1 epsilon S generated by the wheel 5 and receives an instant prize
rt＝r(st,at,st+1)∈R
S and A are the state space and the action space, respectively, and accordingly, r (S t,at,s/) is called the instantaneous rewards function.
The initial position S 1 is determined from the probability distribution of the initial position of the wheel 5 in the region of the load cell 1 in which it is currently located, the state space S being divided into discrete and continuous:
If the state space S is discrete, i.e. the initial probability distribution is determined by the probability mass function P (S) and satisfies
If the state space S is continuous, i.e. the initial probability distribution is determined by the probability density function p (S), and satisfies:
∫s∈Sp(s)ds＝1
Since the probability mass function can be expressed using the dirk function δ(s) and the probability density function:
Further, when the operation state of the wheel 5 traveling is a continuous state space: the dynamics of the environment within the target area set in the wagon balance system is expressed as transition probabilities from state s to state s / when action a is taken, expressed by a transition probability distribution given a conditional probability density p (s / i s, a):
determining a decision of the vehicle by using a strategy pi, wherein the strategy can be used as a function of the state:
Action a may be either discrete or continuous, and in a wagon balance system, the direction in which the wheels 5 travel is uncertain, so a random strategy is employed in which the action taken by each state is probabilistic, treated as a conditional probability density for state s to take action a:
The intelligent machine learning model can be used for making a learning model for the wagon balance weighing system, and the wagon balance weighing system intelligent machine learning model is given, so that the wagon balance weighing system can be digitally simulated and quickly calculated, and an intelligent effect is achieved.
And thirdly, after the vehicle wheels 5 travel on the road 3, the position information of the wheels 5 is calculated according to the feedback of the pressure value displayed by the weighing sensor 1 pressed below the wheels 5 into the wagon balance system.
And step four, judging whether the position of the vehicle on the road 3 accords with a normal vehicle position value according to the position information of the wheels 5.
Further, in the step four, it is determined whether the vehicle weighing position exceeds a preset value according to the information fed back by the weighing sensor 1 pressed by the wheel 5;
the information fed back by the load cell 1 comprises an included angle A between the vehicle and the road 3 and a distance L between the center point of the vehicle and the center line of the road 3.
It is possible to determine whether the vehicle is out of the normal weighing state on the road 3 by considering the values of the set angle a and the distance L.
Through setting up the equidistant interval distribution installation behind the installation strip 2 divide into two sets of, 3 to 6 rows can be established to multirow weighing sensor 1, and the distance between two adjacent rows of weighing sensor 1 is between 40 to 80cm, and the great distance is more convenient for set up the wire casing, and the length of vehicle unusual run analysis weighing sensor 1 is 1.5m to 2m, and the weighing sensor 1 that the vehicle was pressed that the unusual run can set up in succession or jump the row setting.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (7)
1. A weighing method of a quartz weighing sensor is characterized in that: comprises a rectangular array of mounting bars (2) provided with weighing sensors (1) and a road (3) for mounting the mounting bars (2);
step one, mounting the mounting strips (2) on the road (3) along a rectangular array in the length direction of the road (3), wherein the mounting strips (2) are divided into two groups and are mounted at equal intervals;
In the first step, one group of the mounting bars (2) is arranged along the width direction of the road (3) and then extends to the two side edges of the road (3), and the other group of the mounting bars (2) is arranged on the road (3) along the entering track of the vehicle wheels (5) in a distributed manner and is distributed in a mirror symmetry manner by taking the central line of the road (3) in the length direction as a symmetrical line;
The weighing sensors (1) adjacent to each other in the front-back direction and the left-right direction are distributed in a rectangular array, and the distance between the weighing sensors (1) is smaller than the width of the wheels (5);
Marking all weighing sensors (1) on the mounting strip (2), synchronizing marked information into a wagon balance weighing system and displaying the marked information on a display;
thirdly, after the vehicle wheels (5) run on the road (3), the position information of the wheels (5) is calculated according to the feedback of the pressure value displayed by the weighing sensor (1) pressed below the wheels (5) into the wagon balance system;
Judging whether the position of the vehicle on the road (3) accords with a normal vehicle position value according to the position information of the wheels (5);
in the fourth step, whether the weighing position of the vehicle exceeds a preset value is judged according to the information fed back by the weighing sensor (1) pressed by the wheel (5);
The information fed back by the weighing sensor (1) comprises an included angle A between a vehicle and the road (3) and a distance L between the center point of the vehicle and the central line of the road (3).
2. The weighing method of a quartz weighing cell according to claim 1, wherein: the two ends of the road (3) are provided with pressure switches (4) for sensing the entering direction of the vehicle and controlling the starting and stopping of the whole wagon balance.
3. A method of weighing a quartz load cell according to claim 2, wherein: in the second step, the marked weighing sensor (1) is placed into a reinforcement learning model to form an intelligent learning system.
4. A method of weighing a quartz load cell according to claim 3, wherein: the intelligent learning system comprises the following steps:
P1, constructing an environment;
P2, rewarding strategy;
p3, digitizing the model.
5. The method for weighing a quartz weighing cell according to claim 4, wherein: the pressure switch (4) is extruded by the wheel (5) and then starts a wagon balance system, and an environment coordinate system is constructed by taking the advancing direction of the wheel (5) as a target direction;
Setting the profit/cost obtained by the vehicle moving from the current pressure switch (4) area to another area close to the target area as a reward, setting the action of moving to the adjacent weighing sensor (1) area as an instantaneous reward, and forming a positive reward by the sum of the instantaneous rewards of the actions close to the designated target area, and otherwise, setting the positive reward as a negative reward; by rewarding this strategy, states and sequences of actions taken by the vehicle to weigh from an initial state to a final state are specified, such sequences being referred to as trajectories, the sum of instantaneous rewards along a trajectory being referred to as rewards;
when the sum of rewards is equal, the first path is the smallest turning or turning number.
6. The method for weighing a quartz weighing cell according to claim 5, wherein: the current running state S t epsilon S of the wheels (5) of the wagon balance system is obtained through the time t of each weighing sensor (1), then the system selects the action a t epsilon A of the position of the target weighing sensor (1), the actual displacement S t+1 epsilon S generated by the wheels (5) and receives an instant prize
rt＝r(st,at,st+1)∈R
S and A are the state space and the action space, respectively, and accordingly, r (S t,at,s/) is called the instantaneous rewards function;
The initial position S 1 is determined from the probability distribution of the initial position of the wheel (5) in the area of the current load cell (1), where the state space S is divided into discrete and continuous:
If the state space S is discrete, i.e. the initial probability distribution is determined by the probability mass function P (S) and satisfies
If the state space S is continuous, i.e. the initial probability distribution is determined by the probability density function p (S), and satisfies:
∫s∈Sp(s)ds＝1
The probability mass function may be expressed using a dirk function δ(s) and a probability density function:
7. The method for weighing a quartz weighing cell according to claim 6, wherein: when the running state of the wheel (5) is a continuous state space: the dynamics of the environment within the target area set in the wagon balance system is expressed as transition probabilities from state s to state s / when action a is taken, expressed by a transition probability distribution given a conditional probability density p (s / i s, a):
determining a decision of the vehicle by using a strategy pi, wherein the strategy can be used as a function of the state:
action a may be either discrete or continuous, in a wagon balance system, the direction of travel of the wheels (5) is uncertain, so a random strategy is adopted, in which the action taken by each state is determined by a probability, and is regarded as the conditional probability density of the state s taking action a:
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| CN202211001820.3A CN115235598B (en) | 2022-08-20 | 2022-08-20 | Weighing method of quartz weighing sensor |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108318117A (en) * | 2018-02-09 | 2018-07-24 | 四川奇石缘科技股份有限公司 | A kind of vehicle dynamic weighing compensation sensor array, System and method for |
| CN114399745A (en) * | 2022-01-05 | 2022-04-26 | 中交第二公路工程局有限公司 | Automatic positioning system of dynamic compaction machine |
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| KR100985734B1 (en) * | 2009-06-24 | 2010-10-06 | (주)뉴컨스텍 | System for measuring weight of a traveling vehicle |
| EP2306433A1 (en) * | 2009-10-05 | 2011-04-06 | Nederlandse Organisatie voor toegepast -natuurwetenschappelijk onderzoek TNO | Collision avoidance system and method for a road vehicle and respective computer program product |
| JP5456433B2 (en) * | 2009-10-21 | 2014-03-26 | 大和製衡株式会社 | Wheel or axle weight measurement system |
| CN206531562U (en) * | 2016-12-12 | 2017-09-29 | 西安文理学院 | A kind of vehicle dynamic weighing system |
| CN209280117U (en) * | 2018-12-28 | 2019-08-20 | 北京万集科技股份有限公司 | A kind of dynamic weighing system |
| CN209280116U (en) * | 2018-12-28 | 2019-08-20 | 北京万集科技股份有限公司 | A kind of dynamic weighing system comprising underground concealed formula point array sensor |
| JP2021174101A (en) * | 2020-04-21 | 2021-11-01 | 株式会社豊田中央研究所 | Object detection system |
| CN216954782U (en) * | 2022-02-16 | 2022-07-12 | 广州聚杰智能称重实业有限公司 | Strip sensor installation layout device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108318117A (en) * | 2018-02-09 | 2018-07-24 | 四川奇石缘科技股份有限公司 | A kind of vehicle dynamic weighing compensation sensor array, System and method for |
| CN114399745A (en) * | 2022-01-05 | 2022-04-26 | 中交第二公路工程局有限公司 | Automatic positioning system of dynamic compaction machine |
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