4results about How to "Reduce collection frequency" patented technology

The invention provides an Internet of Things data acquisition and abnormity early warning method and system, and relates to the technical field of Internet of Things data processing, and the method comprises the steps: constructing a digital twin model for a physical entity at a cloud end, and issuing prediction data to an edge node; acquiring sensor data by an edge computing node at a basic frequency, and computing a residual error between real-time data and predicted data and an information entropy of a residual error sequence; dynamically adjusting the data acquisition frequency of the edge node based on a two-dimensional decision space formed by the residual error and the information entropy; and when the residual error and the information entropy both exceed the threshold values, potential abnormity is judged, an edge side abnormity analysis program is triggered, and abnormal event information is uploaded. According to the invention, through cloud edge cooperation and intelligent decision making, the acquisition frequency is reduced in a stationary period, resources are saved, the frequency is improved when an abnormal symptom appears, monitoring is enhanced, and optimal balance between resource consumption and monitoring precision is realized; double criteria are adopted to effectively filter noise interference, and the false alarm rate and the missing report rate are reduced.

This invention relates to the field of pipe wall monitoring technology, and discloses an intelligent pipe wall thickness monitoring system, method, device, medium, and product. The system includes: a data acquisition unit configured to acquire electrical level data to obtain a first dataset; a second dataset acquired by acquiring electrical level data from each Hall sensor; a judgment unit configured to compare the electrical level data corresponding to each sensor array in the second dataset with the electrical level data corresponding to each sensor array in the first dataset, and determine whether corrosion exists in the monitored pipe based on the comparison result; a processing unit configured to adjust the acquisition time interval according to an adjustment coefficient; and an adjustment unit configured to determine whether to adjust the adjustment coefficient of the acquisition time interval. This invention solves the problem of large errors caused by reliance on manual labor, improves the efficiency and accuracy of pipe monitoring, and enhances its adaptability and intelligence.

The invention provides a competition risk-based sow reproduction dynamic early warning regulation and control method and system, and the method comprises the steps: collecting the basic data of a sow at a current observation moment t, extracting a feature vector, calculating the risk ratio of an individual sow to a standard sow based on the feature vector, calculating the accumulated morbidity of each reproduction abnormality event from breeding to the current observation moment t, and carrying out the early warning regulation and control. Calculating the predicted cumulative morbidity of the sow from the current observation moment t to a period of time in the future, determining a risk level according to the predicted cumulative morbidity, generating a control instruction, sending the control instruction to a hardware execution layer through a communication bus, driving the hardware execution layer to execute intervention, and dynamically adjusting the acquisition frequency of a sensor according to the risk level; and body weight and backfat feedback data are obtained after intervention, and if a preset threshold value is not reached, intervention parameters are automatically upgraded, so that closed-loop regulation and control are realized. According to the method, the competing risk model is constructed by taking the abnormal reproduction events as the mutual exclusion events, so that the risk probability is more accurate, and the sow breeding process can be accurately intervened.

The application discloses a kind of mechanical automatic transmission rotational speed synchronization self-adjusting predictive control method, comprising: the initial length of calculating brake combination signal sending to brake torque reaches constant value time point;Brake shaft speed drop value during brake torque constant time point is calculated to brake torque start to produce brake torque;Brake torque is zero during brake torque from constant brake torque start to reduce, and brake shaft speed drop value;According to the initial value of dynamic speed difference threshold value calculated according to the above results;Test the extreme value of brake friction plate separation torque reduction stage duration;According to the initial value of the extreme value of brake shaft speed curve parameter in separation torque reduction stage;According to the size relationship between the difference between the target speed of brake shaft before braking and current speed and dynamic speed difference threshold value, the rotational speed synchronization of transmission is controlled.The application improves control accuracy, shortens gear shifting time, improves gear shifting smoothness, enhances the robustness and stability of control method under time-varying working condition.