In a weighing method, a weight (W) of a measured object (7) is measured. A roll angle (r) and a pitch angle (p) of a weighing scale platform (100) are read. The coordinates of a placement position (x.sub.0, z.sub.0) of the measured object are acquired. A first error (error1) caused by a weighing state according to the roll angle and the pitch angle is calculated. A second error (error2) caused by a weighing position according to the coordinates of the placement position, the roll angle (r) and the pitch angle (p) is also calculated. From these, a corrected weight (Wc) is determined.

[Object] To provide an electronic balance configured to uses a non-contact sensor to perform a predetermined operation, in which a greater number of operations than the number of non-contact sensors can be performed.

[Means for solving problem] An electronic balance (1) includes: a non-contact sensor (31; 32) configured to detect an object; a state identifier (306) configured to identify a time pattern of a detection signal of the non-contact sensor (31; 32) as one of a plurality of previously defined time patterns; and an operation controller (30; 303; 304; 305) configured to control an operation of a predetermined section of the electronic balance (1) related to the time pattern identified by the state identifier.

[Object] To provide an electronic balance configured to uses a non-contact sensor to perform a predetermined operation, in which a greater number of operations than the number of non-contact sensors can be performed.

[Means for solving problem] An electronic balance (1) includes: a non-contact sensor (31; 32) configured to detect an object; a state identifier (306) configured to identify a time pattern of a detection signal of the non-contact sensor (31; 32) as one of a plurality of previously defined time patterns; and an operation controller (30; 303; 304; 305) configured to control an operation of a predetermined section of the electronic balance (1) related to the time pattern identified by the state identifier.

A method for cleaning up vehicle driving data includes receiving vehicle driving data of a vehicle within a predetermined time period, the vehicle driving data comprising vehicle mileage data and vehicle status data; determining a first mileage of the vehicle within the predetermined time period based on the vehicle mileage data; determining a second mileage of the vehicle within the predetermined time period based on the vehicle status data; and judging whether the first mileage is abnormal data based on the second mileage.

A scale calibration device and method of use. The device may include a base supportable on and movable along a surface to a location. The base further includes a base surface for supporting a scale to be calibrated proximate the location. The device includes a frame assembly connected to the base and operable to support, in a position over the base surface, means for simulating a dead weight, the means being operable to apply a force to the scale supported on the base surface.

A scale calibration device and method of use. The device may include a base supportable on and movable along a surface to a location. The base further includes a base surface for supporting a scale to be calibrated proximate the location. The device includes a frame assembly connected to the base and operable to support, in a position over the base surface, means for simulating a dead weight, the means being operable to apply a force to the scale supported on the base surface.

An elevator car load measurement system for determining a load of an elevator car includes a plurality of at least two force sensors that are daisy-chained and connected to a controller for determining the load. Each force sensor measures a force exerted by the elevator car on the respective force sensor and generates a frequency signal with a square-wave form, wherein the frequency signal is proportional to the respective measured force. At least one of the force sensors adds a first frequency signal received from the previous force sensor along the daisy chain a second frequency signal generated by the at least one force sensor to generate a frequency sum signal, the last of the force sensors in the daisy chain forwards the frequency sum signal to the controller.

An elevator car load measurement system for determining a load of an elevator car includes a plurality of at least two force sensors that are daisy-chained and connected to a controller for determining the load. Each force sensor measures a force exerted by the elevator car on the respective force sensor and generates a frequency signal with a square-wave form, wherein the frequency signal is proportional to the respective measured force. At least one of the force sensors adds a first frequency signal received from the previous force sensor along the daisy chain a second frequency signal generated by the at least one force sensor to generate a frequency sum signal, the last of the force sensors in the daisy chain forwards the frequency sum signal to the controller.

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.

The present disclosure discloses a method for quick weighing of loose and small packages of traditional Chinese medicine (TCM), comprising: 1) establishing an equivalent physical model of a weighing system for loose and small packages, and, through Laplace transformation and Z transformation, obtaining a formula of the mass M of medicine packages to be weighed; 2) calculating a.sub.1, a.sub.2, b.sub.1 and b.sub.2 on the basis of a vector prediction error; 3) according to a.sub.1, a.sub.2, b.sub.1, and b.sub.2 obtained and the formula of the mass of medicine packages to be weighed, obtaining the mass of the loose and small packages of TCM that are weighed. According to the method, the scalar prediction error is expanded into the vector prediction error based on the traditional method so as to construct a new identification model based on the vector prediction error, and as a result the utilization efficiency of prediction error turns higher.