3results about How to "Improve operation management level" patented technology

The invention relates to the technical field of operation efficiency evaluation, in particular to a civil aviation autonomous operation efficiency evaluation method, which comprises the following steps: acquiring operation information historical data which comprises operation information accumulated in the civil aviation operation process; multiple historical models are established based on the operation information historical data, each historical model is used for representing different autonomous operation scenes of the civil aviation, and each autonomous operation scene comprises a corresponding reference efficiency index; obtaining to-be-evaluated operation information, matching the to-be-evaluated operation information with a plurality of historical models, and obtaining a current autonomous operation scene; calculating an actual efficiency index corresponding to the current autonomous operation scene according to the to-be-evaluated operation information; performing visual comparison display on the actual efficiency index corresponding to the current autonomous operation scene and the reference efficiency index; the civil aviation operation efficiency can be comprehensively evaluated.

The invention relates to the technical field of detection, in particular to a device and method for detecting the indoor temperature rise effect of a heating system. A temperature sensing network module continuously collects temperature data of spatial discrete points; the environment acquisition and modeling module acquires room structure images, measures three-dimensional geometric parameters, automatically identifies room structures and orientations, and outputs environment parameters in combination with material information; the data acquisition and preprocessing module is used for preprocessing the data; the data processing and analysis module generates an indoor temperature cloud picture, is used for calculating a temperature stability coefficient and a space temperature uniformity index, and identifies a space abnormal region by using a space clustering algorithm; the visual display module generates a detection report containing optimization suggestions; the temperature distribution condition of the whole indoor space is accurately reflected, and the temperature rise effect of the heating system is more accurately evaluated; temperature data are continuously collected in real time, and the heating rate and stability of the heating system are accurately evaluated; and an accurate and effective basis is provided for optimal regulation and control of the heating system.

This invention relates to the field of motor operating status detection technology, and discloses a detection method, system, electronic device, and storage medium that combines motor feedback and torque threshold analysis. The method collects multi-dimensional operating data such as torque, current, speed, and temperature during motor operation, performs time-synchronized processing on the multi-source data, and extracts related characteristic parameters such as torque-current correlation coefficient, torque change rate, speed response delay, and phase difference. A dynamic torque threshold model is constructed based on sliding window statistics, and an adaptive detection threshold is generated by combining environmental correction and wear compensation mechanisms. A multi-source data fusion algorithm is used to calculate the comprehensive anomaly probability, enabling abnormal motor operating status determination and graded early warning. Simultaneously, an adaptive model update mechanism is introduced to continuously optimize the threshold model. This solution can improve the accuracy and stability of motor anomaly detection, reduce false alarm and false negative rates, and is suitable for motor condition monitoring and predictive maintenance in industrial scenarios such as industrial robots, new energy vehicles, and CNC equipment.