Disclosed is an automated weight based fluid output monitoring system that can include a hanger having a securement ball defining a spherical surface and configured to engage a socket. The securement ball can include a sensor array configured to detect a change in pressure between the securement ball and the socket as well as a direction of force relative to a transverse axis of the socket. The hanger can further include a hook configured to be coupled to a fluid collection bag of a fluid drainage system. The hanger can further include a console having one or more processors, non-transitory storage medium, an energy source and a one or more logic modules configured to determine a change in fluid volume of the collection bag over time and an off-axis loading of the fluid collecting bag relative to the transverse axis.

A weighing scale for measuring the weight of an object is disclosed. The weighing scale includes a base portion, a platform extending along a plane above the base portion to support the object, and at least one peg extending below the platform along an axis that is adjustable from a first position perpendicular to the plane to a second position not perpendicular to the plane.

The present disclosure provides a false-detection prevention litter box. The litter box includes a litter box main body, a supporting platform, a first supporting leg and a weighing sensor. The weighing sensor includes a connecting part and a sensing part. The sensing part of the weighing sensor is configured to sense a change in a weight of the litter box main body. The connecting part of the weighing sensor is connected to the litter box main body. The sensing part of the weighing sensor is connected to one end of the first supporting leg. The other end of the first supporting leg is abutted with the supporting platform. The weighing sensor will not be in a suspended state and can precisely detect a weight change generated by the litter box main body, which solves the problem of a measurement error of the weighing sensor in the prior art.

An inclination of a weighing apparatus is automatically detected by the apparatus itself while preventing an increase in the number of components. In order to achieve the object described above, a weighing apparatus includes a weight sensor, a built-in weight to be loaded on the weight sensor, an adding/removing unit for adding/removing the built-in weight, a memory storing a theoretical value of the built-in weight, and an arithmetic processing unit, wherein the arithmetic processing unit includes an inclination angle computing unit configured to obtain an apparatus inclination angle from an arc-cosine of a weighing value of the built-in weight and the theoretical value of the built-in weight.

Methods and systems for eccentric load error correction are disclosed. A plurality of weighing data sets for a weight having a mass value are obtained, where the weight is loaded at different positions on a weighing platform of a weighing device. Differences between each of the weighing data sets and the average value of the plurality of weighing data sets or the mass value of the weight are calculated. Sensor correction coefficients are calculated and updated when the maximum absolute value of the differences exceeds a pre-set threshold. The weighing data sets are updated. The above steps are repeated until the absolute values of all the differences are less than the pre-set threshold.

A force transmission element for a balance or load cell is adapted to be arranged between a load receiving unit, receiving the load to be weighed, and a load application point of a load cell, in order to transmit the load force exerted by the load. The force transmission element is designed at least partly as a framework composed of hollow rods, in particular round rods, wherein the force transmission element, in particular the hollow rods, is/are produced at least partly using 3D printing technology.

An apparatus for levelling a bioprocessing device includes a load cell having a first portion and a second portion, the first portion being configured for attachment to a base surface. The apparatus further includes a levelling mechanism operatively connected to the second portion of the load cell, the second portion configured for attachment to a device surface, the device surface being in operative contact with a vessel of the bioprocessing device during use. The levelling mechanism is selectively adjustable to move the device surface relative to the base surface utilizing data from the load cell.

According to one aspect, this disclosure describes a novel indirect weight sensing device, systems, and related processes. In at least one embodiment, the present systems include one or more springs with known properties, at least one metal plate on which the springs are fastened and through which the container load is transferred from the container to the ground, a spring deformation sensor by which spring deformation is reckoned, a digital level by which general orientation of the upper plate is determined relative to the ground, a computing unit to collect and process data from the spring deformation sensor and digital level, and an antenna or other such hardware to wirelessly connect to another device and interface with the computing unit.

An apparatus for calibrating a weighing device includes at a first upright support pillar, at a first transversely extending member mounted in connection with the first upright support pillar, the first transversely extending member being configured to be vertically moveable thereon such that the first transversely extending member can be brought to rest on a part of a weighing device located adjacent the first support pillar, and a load measuring device configured to measure a load applied to the weighing device by the first transversely extending member, such that the load measured by the load measuring device can be compared to the load applied to the weighing device as recorded by the integrated weighing system of the weighing device in order to calibrate the weighing device.