An agricultural vehicle including a container, which is mounted on at least one train of wheels, wherein the container rests by way of fixation brackets and load cells or weight sensors, preferably directly, i.e. without use of an intermediate chassis, on one axle or more forming the train of wheels. The vehicle container is mounted on the axle or each of the axles of the train under consideration by way of at least two pairs of load cells, wherein each pair consists of two load cells situated on opposite sides of a vertical plane parallel to the vertical planes containing the axes of the axles of a multi-axle train.

An agricultural vehicle including a container, which is mounted on at least one train of wheels, wherein the container rests by way of fixation brackets and load cells or weight sensors, preferably directly, i.e. without use of an intermediate chassis, on one axle or more forming the train of wheels. The vehicle container is mounted on the axle or each of the axles of the train under consideration by way of at least two pairs of load cells, wherein each pair consists of two load cells situated on opposite sides of a vertical plane parallel to the vertical planes containing the axes of the axles of a multi-axle train.

An information processing device including: a memory, and a processor coupled to the memory and the processor configured to: discover an equipment coupled to the information processing device, based on an equipment identifier associated with an input field in form information, acquire data from the equipment, and insert, into the input field, the data acquired from the equipment.

An information processing device including: a memory, and a processor coupled to the memory and the processor configured to: discover an equipment coupled to the information processing device, based on an equipment identifier associated with an input field in form information, acquire data from the equipment, and insert, into the input field, the data acquired from the equipment.

A method for remote monitoring of operating characteristics of a load cell is provided. The method includes receiving from a plurality of sensors, at a main unit, sensed data indicative of a plurality of operating characteristics of a load cell. The method continues by analyzing at a main unit the sensed data for statistical control and sending alerts to a remote computing device when sensed data of an operating characteristic is outside of a preset threshold. A system for carrying out the method is also provided. The system includes a main unit installed near a load cell, a first sub-unit coupled to a scale of the load cell in wired communication with the main unit, and at least one remote computing device in network communication with the main unit.

A method for remote monitoring of operating characteristics of a load cell is provided. The method includes receiving from a plurality of sensors, at a main unit, sensed data indicative of a plurality of operating characteristics of a load cell. The method continues by analyzing at a main unit the sensed data for statistical control and sending alerts to a remote computing device when sensed data of an operating characteristic is outside of a preset threshold. A system for carrying out the method is also provided. The system includes a main unit installed near a load cell, a first sub-unit coupled to a scale of the load cell in wired communication with the main unit, and at least one remote computing device in network communication with the main unit.

The disclosure discloses an apparatus for online volumetrically detecting grain yield based on weight calibration comprising left volumetric granary, right volumetric granary and push board. The left volumetric granary is provided on its bottom with first weighing sensor, and in its side with unload grain port opening and first closing door, the right volumetric granary is provided on its bottom with second weighing sensor, and in its side with unload grain port opening and second closing door, the left volumetric granary and the right volumetric granary are provided on their tops with the push board, the push board is a hollow box structure with a top side and a bottom side both opened, and is slidably mounted to a top of the left volumetric granary and the right volumetric granary through a slide driving mechanism.

The disclosure discloses an apparatus for online volumetrically detecting grain yield based on weight calibration comprising left volumetric granary, right volumetric granary and push board. The left volumetric granary is provided on its bottom with first weighing sensor, and in its side with unload grain port opening and first closing door, the right volumetric granary is provided on its bottom with second weighing sensor, and in its side with unload grain port opening and second closing door, the left volumetric granary and the right volumetric granary are provided on their tops with the push board, the push board is a hollow box structure with a top side and a bottom side both opened, and is slidably mounted to a top of the left volumetric granary and the right volumetric granary through a slide driving mechanism.

A method at a sensor apparatus affixed to a transportation asset. The method includes calibrating the sensor apparatus by initiating a vertical impact at the transportation asset, measuring spring oscillation and creating a model of the transportation asset. The method further includes detecting, subsequent to the calibrating, an impact event at the sensor apparatus. The method further includes measuring spring oscillation due to the impact event at the sensor apparatus and using the measured spring oscillation in the model created during calibration to create a load mass estimate for the transportation asset.

A method at a sensor apparatus affixed to a transportation asset. The method includes calibrating the sensor apparatus by initiating a vertical impact at the transportation asset, measuring spring oscillation and creating a model of the transportation asset. The method further includes detecting, subsequent to the calibrating, an impact event at the sensor apparatus. The method further includes measuring spring oscillation due to the impact event at the sensor apparatus and using the measured spring oscillation in the model created during calibration to create a load mass estimate for the transportation asset.