A double tire determination device includes an image input unit and a determination unit. The image input unit receives input of a captured image including a tire mounted on a vehicle. The determination unit determines whether the tire is a double tire, based on a ratio between a first area and a second area. The first area is an area of a first wheel region that is a part of a region of a wheel holding the tire and that is located on a side in a first direction with respect to a position of a rotation center of the tire. The second area is an area of a second wheel region that is a part of the region of the wheel holding the tire and that is located on a side in a second direction, which is opposite to the first direction, with respect to the position of the rotation center.

A calibration device is a calibration device configured to calibrate a load meter that measures an axle load of a vehicle. The calibration device includes a detector and a calibrator. The detector detects a displacement amount corresponding to displacement caused on a road by the axle load of the vehicle. The calibrator aggregates the displacement amounts detected by the detector to generate a histogram of the displacement amounts, and updates a displacement coefficient for calculating the axle load of the vehicle based on a shape of the histogram. The calibrator updates the displacement coefficient base only on the shape of the histogram corresponding to a first axle serving as a forefront axle of the vehicle.

A method for determining a peak weight associated with an agricultural machine includes the step of determining a weight associated with the agricultural machine. Operational parameters are stored in response to determining that the weight is above a threshold. The threshold can be based on a maximum weight associated with the agricultural machine and set via user input to a machine control indicator. In one embodiment, a new weight associated with the agricultural machine is determined. The new weight is compared to a previous peak weight associated with the agricultural machine. The new weight is stored as a peak weight in response to determining that the new weight is higher than the previous peak weight. Operational parameters associated with the new weight can also be stored in response to determining that the new weight is higher than the previous peak weight.

Disclosed is a mobile robot configured to cut lawn in a work area. The mobile robot may include a main body, a weight sensing sensor, an obstacle sensing sensor, a blade, and a processor. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communication with other electronic devices in a 5G communication environment. As a result, it is possible to enhance user convenience.

A method for determining a peak weight associated with an agricultural machine includes the step of determining a weight associated with the agricultural machine. Operational parameters are stored in response to determining that the weight is above a threshold. The threshold can be based on a maximum weight associated with the agricultural machine and set via user input to a machine control indicator. In one embodiment, a new weight associated with the agricultural machine is determined. The new weight is compared to a previous peak weight associated with the agricultural machine. The new weight is stored as a peak weight in response to determining that the new weight is higher than the previous peak weight. Operational parameters associated with the new weight can also be stored in response to determining that the new weight is higher than the previous peak weight.

The invention relates to a method for calculating the weight of a load moving on scales (1). According to the method, a load signal of the scales is determined over a period of time using the speed of the load, and several partial load signals (TL.sub.1, TL.sub.2) are used, the total thereof providing the load signal, a first partial load signal (TL.sub.1) displaying a maximum value as long as the load is fully on the weighing section of the scales (1), and a second partial load signal (TL.sub.2) displaying a minimum value as long as the load is completely removed from the weighing section of the scales (1), and the speed of the movement of the load is determined from said partial load signals (TL.sub.1 and TL.sub.2). The invention also relates to scales for carrying out said method, comprising two weighing units (10, 11) with flexible deformation elements on which deformation sensors (7, 15), which generate the partial load signals (TL.sub.1,TL.sub.2), are arranged.

A strip scale suitable for use in connection with high speed, in motion weighing applications. The scale has a base, a load cell, a compliant member, and a platform. Also disclosed are load cells for use with the scale, and systems and methods for using the scales.

The technology involves operation of a self-driving truck or other cargo vehicle when it is being inspected at a weigh station. This may include determining whether a weigh station is open for inspection. Once at the weigh station, the vehicle may follow instructions of an inspection officer or autonomous inspection system. The vehicle may perform predefined actions or operations so that various vehicle systems and safety issues can be evaluated, such as the brakes, lights, tires, connections between the tractor and trailer, exposed fuel tanks, leaks, etc. A visual inspection may be performed to ensure the load is secured, vehicle and cargo documents meet certain criteria, and the carrier's safety record meets any requirements. In addition, the weigh station itself may be operated in a partly or fully autonomous mode when dealing with autonomous and manually driven vehicles.

A WIM system includes a WIM sensor that is arranged in a lane of a roadway flush with a roadway surface. The lane has a direction of travel for vehicles. The WIM sensor is of long design along a longitudinal axis with a length. The WIM sensor has a plurality of measurement zones M.sub.i spaced apart from one another along the longitudinal axis. Each measurement zone M.sub.i is set up to individually determine a force F.sub.i exerted on the WIM sensor. The longitudinal axis forms an alignment angle with the direction of travel such that a wheel of a vehicle passing over the WIM sensor along the direction of travel can be detected as measurement signals S.sub.i, S.sub.j, S.sub.k by at least three adjacent measurement zones M.sub.i, M.sub.j, M.sub.k.

A method is disclosed for measuring stress distribution generated on a structural object including two support parts and a beam part provided between the support parts. The method includes: generating first data by sensing, through a first sensing unit, of a moving object or an identification display object attached to the structural object; calculating, based on the first data, a movement duration in which the moving object moves between the support parts; generating, as second data, thermal data by sensing of a surface of the beam part through a second sensing unit; calculating a temperature change amount based on a second data group corresponding to the movement duration; and calculating a stress change amount based on the temperature change amount to calculate stress distribution based on the stress change amount.