Axle Weight Scale Table Tire Pressure Compensation Algorithm

Abstract

Axle weight scale platform tire pressure compensation algorithm, including the following steps: Step 1: Calculate the weighing average value W0 under the condition of the vehicle moving at a constant speed: Step 2: Calculate the constant speed intermediate value T0: Step 3: Calculate the weighing average value W1 under the condition of the vehicle driving at a high speed; Step 4: Calculate the high-speed intermediate value T x : Step 5: Calculate the tire pressure compensation coefficient, and the tire pressure compensation coefficient is (T X -T0) / T0. Through analyzing the data output by the sensor and realizing the compensation of different tire pressures in the way of software compensation, the present invention well solves the influence of tire pressure on the weighing result of the axle weight scale, and greatly improves the weighing accuracy during high-speed weighing.

Description

Technical Field

[0001] The present invention belongs to an axle load type scale platform tire pressure compensation algorithm for calculating a tire pressure compensation coefficient. Background Art

[0002] During the driving process of a freight vehicle, changes in temperature, load, and road surface will have a great impact on the tire pressure of rubber tires.

[0003] When an axle load type product is used in the state of a vehicle passing at high speed, the weighing result will be affected by the tire pressure of the freight vehicle. This influence comes from two aspects. On the one hand, the impact differences of tires with different tire pressures on the scale platform are relatively large. On the other hand, the contact areas of tires with different tire pressures are different, and the force center lines of the tires on the scale platform will change back and forth. This change will affect the total time width of weighing sampling. At the junction of the scale platform and the road surface, the change in tire pressure will also directly affect the size of the weighing result. Summary of the Invention

[0004] The technical problem to be solved by the present invention is: how to simply and accurately calculate the tire pressure compensation coefficient and provide an axle load type scale platform tire pressure compensation algorithm.

[0005] The technical solution of the present invention is specifically as follows:

[0006] An axle load type scale platform tire pressure compensation algorithm, comprising the following steps:

[0007] Step 1: Calculate the weighing average value W0 under the vehicle's uniform speed state:

[0008] W0 = (S1 + S2 + … S i +... + S m ) / m, where S i is the single sampling result, W0 is the result average value, and m is the number of samplings;

[0009] Step 2: Calculate the uniform speed intermediate value T0: Continuously monitor the output result of the sensor on one side of the scale platform when the vehicle gets on the scale. Start accumulating the scale platform weighing result when the scale platform is loaded, and stop accumulating until the output of the sensor on one side of the scale platform reaches the maximum value. Divide the above accumulated value by the number of accumulated data to obtain Z1, and calculate (W0 - Z1) / W0; Similarly, continuously monitor the output result of the sensor on the other side of the scale platform when the vehicle gets off the scale. Take the accumulated value of the scale platform weight from the maximum value to when the scale platform is completely unloaded, divide it by the number of accumulated data and record it as Z2, and calculate (W0 - Z2) / W0; Take the average value of the two calculation results, save the above calculation result, and record it as the uniform speed intermediate value T0;

[0010] Step 3: Calculate the weighing average value W1 under the vehicle's high-speed driving state;

[0011] W0 = (S1 + S2 + … S i +... + Sm ) / m, where S i is the single sampling result, W0 is the result mean, and m is the number of samplings;

[0012] Step 4: Calculate the high-speed intermediate value T x : Continuously monitor the output result of the sensor on one side of the scale platform. When the scale platform is loaded, start accumulating the weighing result of the scale platform and stop accumulating until the output of the sensor on one side of the scale platform reaches the maximum value. Divide the above cumulative value by the number of cumulative data to obtain Z 1x , calculate (W1 - Z 1x ) / (W1); Similarly, continuously monitor the output result of the sensor on the other side of the scale platform. Take the cumulative value of the scale platform weight from the maximum value to when the scale platform is fully unloaded, and divide it by the number of cumulative data and denote it as Z 2x , calculate (W1 - Z 2x ) / W1; Take the mean of the two calculation results, save the above calculation results, and denote it as the high-speed intermediate value T x ;

[0013] Step 5: Calculate the tire pressure compensation coefficient. The tire pressure compensation coefficient is (T X - T0) / T0.

[0014] In Steps 1 and 3, the number of samplings m is 100 for both cases.

[0015] The beneficial effects of the present invention are as follows: By analyzing the data output by the sensor and realizing compensation for different tire pressures in a software compensation manner, the present invention effectively solves the influence of tire pressure on the weighing result of the axle scale, and greatly improves the weighing accuracy during high-speed weighing. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is the flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] The present invention is illustrated by taking a two-axle rigid vehicle as an example.

[0019] As Figure 1 shown, the axle scale tire pressure compensation algorithm includes the following steps:

[0020] Step 1: Calculate the weighing mean W0 in the vehicle's uniform motion state;

[0021] To reduce the influence of the road surface, the algorithm requires the use of a two-axle rigid vehicle for measurement. Let a two-axle rigid vehicle with a gross vehicle weight of about 15 t pass through the axle load scale platform at a uniform speed of no more than 5 km / h. Record the dynamic weighing results when the wheels move uniformly to the central area of the scale platform, and calculate the weighing mean value W0 of the vehicle in the uniform state according to the number of times of adoption.

[0022] W0 = (S1 + S2 + … S i +... + S m ) / m, where S i is the single sampling result, W0 is the result mean value, and m is the number of sampling times.

[0023] For the sake of simplicity of description, calculate according to the number of sampling times m = 100 times and take its mean value.

[0024] W0 = (S1 + S2 + … + S 100 ) / 100

[0025] S i is the single sampling result, and W0 is the result mean value.

[0026] Step 2: Calculate the uniform middle value T0: Continuously monitor the output result of the sensor on one side of the scale when loading. Start accumulating the scale weighing results when the scale platform is loaded, and stop accumulating until the output of the sensor on one side of the scale reaches the maximum value. Divide the above accumulated value by the number of accumulated data to get Z1, and calculate (W0 - Z1) / W0; Similarly, continuously monitor the output result of the sensor on the other side of the scale when unloading. Take the accumulated value of the scale weight from the maximum value to when the scale platform is completely unloaded, divide it by the number of accumulated data and record it as Z2, and calculate (W0 - Z2) / W0; Take the mean value of the two calculation results, save the above calculation results, and record it as the uniform middle value T0.

[0027] Step 3: Calculate the weighing mean value W1 of the vehicle in the high-speed driving state;

[0028] When the vehicle is driving at high speed, record the dynamic weighing results when the wheels move at high speed to the central area of the scale platform.

[0029] W0 = (S1 + S2 + … S i +... + S m ) / m, where S i is the single sampling result, W0 is the result mean value, and m is the number of sampling times.

[0030] For the sake of simplicity of description, calculate according to 100 samplings and take its mean value.

[0031] W1 = (S1 + S2 + … + S 100 ) / 100

[0032] S i is the single sampling result, and W1 is the result mean value.

[0033] Step 4: Calculate the high-speed intermediate value T x : Continuously monitor the output result of the sensor on the side where the scale is loaded. When the scale platform is loaded, start accumulating the weighing result of the scale platform. Stop accumulating when the output of the sensor on the side where the scale is loaded reaches the maximum value. Divide the above accumulated value by the number of accumulated data to obtain Z 1x , calculate (W1 - Z 1x ) / (W1); Similarly, continuously monitor the output result of the sensor on the side where the scale is unloaded. Take the accumulated value of the scale weight from the maximum value to when the scale platform is completely unloaded, and divide it by the number of accumulated data and denote it as Z 2x , calculate (W1 - Z 2x ) / W1; Take the average of the two calculation results, save the above calculation results, and denote it as the high-speed intermediate value T x .

[0034] Step 5: Calculate the tire pressure compensation coefficient. The tire pressure compensation coefficient is (T X - T0) / T0.

Claims

1. Axle weight type scale platform tire pressure compensation algorithm, characterized in that, It includes the following steps: Step 1: Calculate the weighing average value W0 when the vehicle is in a uniform motion state: W0 = (S1 + S2 + … S i +...+ S m ) / m, where S i is the single sampling result, W0 is the result mean, and m is the number of samplings; Step 2: Calculate the uniform motion intermediate value T0: Continuously monitor the output result of the sensor on one side of the scale when the vehicle is on the scale. Start accumulating the weighing result of the scale platform when the scale platform is loaded, and stop accumulating when the output of the sensor on one side of the scale reaches the maximum value. Divide the above accumulated value by the number of accumulated data to obtain Z1, and calculate (W0 - Z1) / W0; Similarly, continuously monitor the output result of the sensor on the other side of the scale when the vehicle is off the scale. Take the accumulated value of the scale platform weight from the maximum value to when the scale platform is completely unloaded, divide it by the number of accumulated data and denote it as Z2, and calculate (W0 - Z2) / W0; Take the average value of the two calculation results, save the above calculation results, and denote it as the uniform motion intermediate value T0; Step 3: Calculate the weighing average value W1 when the vehicle is in a high-speed driving state; W1 = (S1 + S2 + … S i +...+ S m ) / m, where S i is the single sampling result, W1 is the result mean, and m is the number of samplings; Step 4: Calculate the high-speed intermediate value T x : Continuously monitor the output result of the sensor on the side where the scale platform is loaded. Start accumulating the weighing result of the scale platform when the scale platform is loaded, and stop accumulating when the output of the sensor on the side where the scale platform is loaded reaches the maximum value. Divide the above cumulative value by the number of accumulated data to obtain Z 1x , calculate (W1 - Z 1x ) / (W1); Similarly, continuously monitor the output result of the sensor on the side where the scale platform is unloaded. Take the cumulative value of the scale platform weight from the maximum value to when the scale platform is completely unloaded, and divide it by the number of accumulated data and denote it as Z 2x , calculate (W1 - Z 2x ) / W1; Take the average of the two calculation results, save the above calculation results, and denote it as the high-speed intermediate value T x ; Step 5: Calculate the tire pressure compensation coefficient, which is (T X - T0) / T0.

2. The axle weight type scale platform tire pressure compensation algorithm according to claim 1, characterized in that: In Step 1 and Step 3, the number of sampling times m is 100 for both cases.

Images