A weighing scale and a load cell assembly therefor, the weighing scale including: (a) a weighing platform; (b) a base; and (c) a load cell arrangement including: (i) a load cell body, disposed below the platform and above the base, the body secured to the platform at a first position along a length of the body, and secured to the base at a second position along the length, the load cell body having a first cutout window transversely disposed through the body, the window adapted such that a downward force exerted on a top face of the weighing platform distorts the window to form a distorted window; and (ii) at least one strain-sensing gage, mounted on at least a first surface of the load cell body, the strain-sensing gage adapted to measure a strain in the first surface; and (d) an at least a one-dimensional flexure arrangement having at least a second cutout window transversely disposed through the body, the second cutout window shaped and positioned to at least partially absorb an impact delivered to a top surface of the load cell body.

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

The present invention relates to a calibration device (4) comprising: —at least one impact plate (5), characterized in that the device (4) also comprises: —at least one first sensor (1) embedded into a first moving object (3A), said first sensor (1) measuring the way, velocity, form of movement and impact strength directly in the first moving object (3A) hitting the impact plate (5), —at least one second moving object (3B), —at least a first radio-frequency identification transmitter with antenna (1A) embedded into the first sensor (1), —at least one second sensor (2A,2B,2C) attached directly underneath the plate (5) for determining characteristics of the first moving object (3A), when hitting the impact plate (5), —at least one first means (6) for receiving first data provided by the first sensor (1), before and while hitting the impact plate (5), and for receiving second data provided by the second sensor (2A,2B,2C), when hitting the impact plate (5), —at least a second radio-frequency identification transmitter with antenna (6A) embedded into the first means (6), —the first sensor (1) and the second sensor (2A,2B,2C) are interacting with the first means (6), —at least one second means (7) for analysing the data provided by the first sensor (1) and by the second sensor (2A,2B,2C) and for calibrating the second sensor (2A,2B,2C) located on the impact plate (5) and determining the characteristics of at least one second moving object (3B) when hitting the impact plate (5), —a high speed camera (20) is configured to assess parameters due to the impacts of the first and second moving objects on the impact plate (5).

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

A method is provided for optimizing the time required for a scale to weigh a set of ingredients. A weighing tolerance is obtained for each ingredient in the set. Based on the weighing tolerance, a readability parameter is determined for each ingredient. Based on the determined readability parameter, the scale is configured before each ingredient is weighed.

A method is provided for optimizing the time required for a scale to weigh a set of ingredients. A weighing tolerance is obtained for each ingredient in the set. Based on the weighing tolerance, a readability parameter is determined for each ingredient. Based on the determined readability parameter, the scale is configured before each ingredient is weighed.

A scale includes a scale pan for supporting goods to be weighed, and upper and lower bearing plates, wherein the scale pan is arranged above an upper bearing plate, and a weighing cell is arranged between the upper bearing plate and the lower bearing plate, wherein at least three feet are attached to the lower bearing plate, which are supported on a fixed area, wherein the lower bearing plate has a U-shaped cross-section, wherein, contiguous to respective stiffened areas of the U-shaped cross-section, there is a further region, which extends in parallel to a trough bottom, wherein the trough bottom is arranged between the two stiffened areas, and the trough bottom has a trapezoidal geometry.

A scale includes a scale pan for supporting goods to be weighed, and upper and lower bearing plates, wherein the scale pan is arranged above an upper bearing plate, and a weighing cell is arranged between the upper bearing plate and the lower bearing plate, wherein at least three feet are attached to the lower bearing plate, which are supported on a fixed area, wherein the lower bearing plate has a U-shaped cross-section, wherein, contiguous to respective stiffened areas of the U-shaped cross-section, there is a further region, which extends in parallel to a trough bottom, wherein the trough bottom is arranged between the two stiffened areas, and the trough bottom has a trapezoidal geometry.

A method for optimizing the running properties of a rotating belt of a weighing belt conveyor includes, for at least one rotation of the belt, determining a unique reference position on the belt. A force signal is determined in dependence on the movement of the belt with respect to the reference position during the at least one rotation. From this force signal, the course of a deviation of the force signal from a set value as a consequence of a disruptive force is determined. At least in correspondence with the direction of the determined deviation, the mass of the belt is increased or reduced at locations in dependence on the position of the belt with respect to the reference position

A method for optimizing the running properties of a rotating belt of a weighing belt conveyor includes, for at least one rotation of the belt, determining a unique reference position on the belt. A force signal is determined in dependence on the movement of the belt with respect to the reference position during the at least one rotation. From this force signal, the course of a deviation of the force signal from a set value as a consequence of a disruptive force is determined. At least in correspondence with the direction of the determined deviation, the mass of the belt is increased or reduced at locations in dependence on the position of the belt with respect to the reference position