Described are systems and techniques configured to compensate for noise in output of weight sensors which may determine the weight of an item. In one implementation, a mobile cart may be configured with a first weight sensor and a second weight sensor. A noise component and a signal component in the output of the first and second weight sensors are determined. The signal component may be processed to determine the weight of the item.

Described are systems and techniques configured to compensate for noise in output of weight sensors which may determine the weight of an item. In one implementation, a mobile cart may be configured with a first weight sensor and a second weight sensor. A noise component and a signal component in the output of the first and second weight sensors are determined. The signal component may be processed to determine the weight of the item.

An automatic filtering method includes: a step of analyzing an input signal so as to obtain a frequency spectrum of the input signal; and a step of selecting, on the basis of the frequency spectrum, at least one filter from among a plurality of preset filters and filtering the input signal. The step of selecting includes determining, on the basis of the frequency spectrum of, a signal type in the input signal; selecting, on a basis of the signal type, a corresponding filter corresponding to the signal type; filtering the input signal with use of a first parameter of the corresponding filter and setting a second parameter for the corresponding filter on a basis of a result of the filtering; and filtering the input signal with use of the second parameter set for the corresponding filter. The method may ensure a filtering effect against noise.

An automatic filtering method includes: a step of analyzing an input signal so as to obtain a frequency spectrum of the input signal; and a step of selecting, on the basis of the frequency spectrum, at least one filter from among a plurality of preset filters and filtering the input signal. The step of selecting includes determining, on the basis of the frequency spectrum of, a signal type in the input signal; selecting, on a basis of the signal type, a corresponding filter corresponding to the signal type; filtering the input signal with use of a first parameter of the corresponding filter and setting a second parameter for the corresponding filter on a basis of a result of the filtering; and filtering the input signal with use of the second parameter set for the corresponding filter. The method may ensure a filtering effect against noise.

A digital load cell includes: a strain bridge including a Wheatstone bridge formed by connecting four resistive strain gauges and a temperature sensing resistance element connected in series to the Wheatstone bridge. An analog-to-digital conversion circuit excites the strain bridge, and includes a plurality of input channels and an output terminal. The input channels receive feedback signals from the strain bridge, and the output terminal outputs the feedback signals after analog-to-digital conversion. A signal processor includes a load force calculation unit and a state information matrix calculation unit. The load force calculation unit calculates a differential voltage and a compensation function based on the feedback signals obtained from the output terminal, and calculates a load force value based on the differential voltage and the compensation function. The digital load cell and related weighing system; can provide comprehensive and effective real-time health state monitoring for the digital load cell.

A digital load cell includes: a strain bridge including a Wheatstone bridge formed by connecting four resistive strain gauges and a temperature sensing resistance element connected in series to the Wheatstone bridge. An analog-to-digital conversion circuit excites the strain bridge, and includes a plurality of input channels and an output terminal. The input channels receive feedback signals from the strain bridge, and the output terminal outputs the feedback signals after analog-to-digital conversion. A signal processor includes a load force calculation unit and a state information matrix calculation unit. The load force calculation unit calculates a differential voltage and a compensation function based on the feedback signals obtained from the output terminal, and calculates a load force value based on the differential voltage and the compensation function. The digital load cell and related weighing system; can provide comprehensive and effective real-time health state monitoring for the digital load cell.

A device and method for real-time measurement using acoustic wave sensors, without the measurement being altered by environmental conditions such as temperature, humidity, flow or pressure, and without requiring the use of external gauges. The proposed method and device improve the stability and detection limit of quartz crystal microbalance (QCM) sensors. The method and device are based on the high degree of correlation between acoustic resonators integrated into a single piezoelectric substrate. The use of a reference sample to correct the instability of the baseline is not required. The method and device are intended for the industrial sector of the production of measuring devices based on quartz crystals.

A method of generating feedback for a container load process includes: during a load process for a container at a load bay, controlling a sensor assembly disposed at the load bay to capture sensor data depicting an interior of the container; at a computing device connected to the sensor assembly, detecting, based on the sensor data, a wall of items placed in the container interior; determining, at the computing device from the sensor data: (i) a boundary attribute of the detected wall, and (ii) a composition attribute of the detected wall; comparing, at the computing device, (i) the boundary attribute to a boundary criterion, and (ii) the composition attribute to a composition criterion; and responsive to at least one of the boundary attribute not meeting the boundary criterion, or the composition attribute not meeting the composition attribute, generating an alert for transmission to a client computing device.

A method of generating feedback for a container load process includes: during a load process for a container at a load bay, controlling a sensor assembly disposed at the load bay to capture sensor data depicting an interior of the container; at a computing device connected to the sensor assembly, detecting, based on the sensor data, a wall of items placed in the container interior; determining, at the computing device from the sensor data: (i) a boundary attribute of the detected wall, and (ii) a composition attribute of the detected wall; comparing, at the computing device, (i) the boundary attribute to a boundary criterion, and (ii) the composition attribute to a composition criterion; and responsive to at least one of the boundary attribute not meeting the boundary criterion, or the composition attribute not meeting the composition attribute, generating an alert for transmission to a client computing device.

An automatic filtering method and device includes a step of analyzing an input signal so as to obtain its frequency spectrum; and a step of selecting, on the basis of the frequency spectrum, at least one filter from among a plurality of preset filters and filtering the input signal. The method and device automatically use a suitable filter on the basis of the frequency spectrum and repeat simulation of automatic fine adjustment to ensure a filtering effect against noise.