2results about How to "Reduce management risk" patented technology

The invention relates to the technical field of coal yard metering, in particular to a coal yard fuel metering method and system, and the method comprises the steps: synchronously collecting coal pile three-dimensional point cloud data, fuel conveying accumulated flow data and environment data; constructing a coal pile three-dimensional model by using the point cloud data and calculating the volume, and calculating the real-time density of the coal pile through a density correction model in combination with the environmental data so as to obtain first inventory quality; obtaining second inventory quality through an in-out-storage balance model based on the accumulated flow data; and finally performing fusion processing on the first inventory quality and the second inventory quality by using a data fusion algorithm, and outputting a real-time accurate inventory. The corresponding system is used for executing the method. According to the method, three-dimensional vision measurement and dynamic flow measurement are fused, intelligent density correction is introduced, the problems that a traditional method is large in error and poor in timeliness are solved, and high-precision and real-time dynamic measurement and intelligent management of coal yard fuel inventory are achieved.

This application relates to the field of equipment management technology, and in particular to a method and apparatus for monitoring equipment in a laboratory. The method includes: acquiring images of the actual laboratory scene; determining equipment information for at least one piece of testing equipment based on the images; displaying the equipment information for each piece of testing equipment while simultaneously determining whether each piece of testing equipment meets preset abnormality conditions based on the equipment information; wherein, if the preset abnormality conditions are met, an equipment abnormality alarm is triggered for the user. This solves the problem that related technologies can only detect equipment abnormalities through manual inventory and lack real-time alarm functionality, thus making it difficult to detect equipment abnormalities technically.