An automatic large-mass-weight handling system comprises: a weight picking device (10) configured for picking up and holding a large-mass-weight (75); a driving device (80) for providing a driving power; a weight transferring device (50) comprising a first horizontal rail (52) and a vertical rail (62) assembled to the first horizontal rail (52) in a way of being movable along the first horizontal rail (52), the first horizontal rail (52) extending in a first horizontal direction, the vertical rail (62) extending in a vertical direction perpendicular to the first horizontal direction, and the weight picking device (10) being assembled to the vertical rail (62); and a control unit for controlling the movement of the weight picking device (10); wherein the control unit controls the driving device (80) in a way that the weight picking device (10) is able to be moved automatically in the first horizontal direction and is able to be moved automatically in the vertical direction.

An automatic large-mass-weight handling system comprises: a weight picking device (10) configured for picking up and holding a large-mass-weight (75); a driving device (80) for providing a driving power; a weight transferring device (50) comprising a first horizontal rail (52) and a vertical rail (62) assembled to the first horizontal rail (52) in a way of being movable along the first horizontal rail (52), the first horizontal rail (52) extending in a first horizontal direction, the vertical rail (62) extending in a vertical direction perpendicular to the first horizontal direction, and the weight picking device (10) being assembled to the vertical rail (62); and a control unit for controlling the movement of the weight picking device (10); wherein the control unit controls the driving device (80) in a way that the weight picking device (10) is able to be moved automatically in the first horizontal direction and is able to be moved automatically in the vertical direction.

The invention discloses a multi-sensor-based mechanical measurement system, comprising a sensor, a digital-to-analog conversion unit and a calculation unit; The said sensor include a plurality of sensors, and each of the sensors is connected to the said digital-to-analog conversion unit through a respective analog input channel; The said digital-to-analog conversion unit converts the data and transmits it to the calculation unit; The said computing unit performs a primary calibration on the said sensor corresponding to each of the said analog input channels according to the signal transmitted by each of the analog input channels one by one respectively, and performs secondary calibration according to the primary calibration results of all the said sensors. The invention has the advantages of high precision, high stability, high reliability, low error, low cost, easy maintenance, low failure rate, no need for pairing, strong adaptability to environment and location, light and compact, flexible expansion and the like.

The invention discloses a multi-sensor-based mechanical measurement system, comprising a sensor, a digital-to-analog conversion unit and a calculation unit; The said sensor include a plurality of sensors, and each of the sensors is connected to the said digital-to-analog conversion unit through a respective analog input channel; The said digital-to-analog conversion unit converts the data and transmits it to the calculation unit; The said computing unit performs a primary calibration on the said sensor corresponding to each of the said analog input channels according to the signal transmitted by each of the analog input channels one by one respectively, and performs secondary calibration according to the primary calibration results of all the said sensors. The invention has the advantages of high precision, high stability, high reliability, low error, low cost, easy maintenance, low failure rate, no need for pairing, strong adaptability to environment and location, light and compact, flexible expansion and the like.

Disclosed is a monitoring system for a conveyor belt weighing system, the monitoring system comprising: a status page displaying a plurality of calibration status displays for the conveyor belt weighting system, each of the calibration status displays including a reference calibration value and a comparison between the reference calibration value and a calibration value for the conveyor belt weighing system, wherein the reference calibration value is an ideal value for the calibration value.

Disclosed is a monitoring system for a conveyor belt weighing system, the monitoring system comprising: a status page displaying a plurality of calibration status displays for the conveyor belt weighting system, each of the calibration status displays including a reference calibration value and a comparison between the reference calibration value and a calibration value for the conveyor belt weighing system, wherein the reference calibration value is an ideal value for the calibration value.

A weighing apparatus is disclosed, the apparatus comprising: a container suitable for containing at least one object to be weighed; a supporting frame mechanically coupled to said container for relative movement therebetween and configured to freely support said container; a load cell operable to measure a force exerted on said supporting frame by said container; and a motor apparatus operable to exert a force on said load cell.

A person support apparatus, such as a bed, stretcher, recliner, cot, or the like, includes a frame, a plurality of load cells, a support surface supported by the load cells, a detection circuit, and a controller. The controller determines if any of the load cells are in an error state based upon information from the detection circuit. If the load cells include memory having calibration data stored therein, the controller communicates with the memory and uses the calibration data to determine an amount of weight supported on the surface. The detection circuit may include one or more Wheatstone bridges wherein the controller monitors voltages between midpoints of the Wheatstone bridges. The load cells may include an activation lead that is monitored by the detection circuit and a sensor lead that is used by the controller to determine an amount of weight supported on the patient support apparatus.

A person support apparatus, such as a bed, stretcher, recliner, cot, or the like, includes a frame, a plurality of load cells, a support surface supported by the load cells, a detection circuit, and a controller. The controller determines if any of the load cells are in an error state based upon information from the detection circuit. If the load cells include memory having calibration data stored therein, the controller communicates with the memory and uses the calibration data to determine an amount of weight supported on the surface. The detection circuit may include one or more Wheatstone bridges wherein the controller monitors voltages between midpoints of the Wheatstone bridges. The load cells may include an activation lead that is monitored by the detection circuit and a sensor lead that is used by the controller to determine an amount of weight supported on the patient support apparatus.

Noise that is present in the output of a weight sensor can lead to erroneous weight data. A moveable device, such as a tote, may be used by a customer while shopping in a facility. This tote can include one or more weight sensors that are used to determine the weight of items added to or removed from the tote. However, noise can affect the output of the weight sensors, where such noise is attributed to movement or vibration of the tote. Data from a vibration sensor or a motion sensor coupled to the tote can be analyzed to determine noise that is common to weight data and vibration data or motion data associated with the tote. This common noise can then be removed or attenuated from the weight signals to determine de-noised and valid weight data for the tote.