7results about How to "Improve operation management level" patented technology

The invention relates to the technical field of reservoir dispatching, in particular to a method for handling events influencing cascade reservoir dispatching operation, which comprises the following steps: acquiring real-time monitoring data of a cascade reservoir to be detected; performing data preprocessing on the real-time monitoring data of the to-be-detected cascade reservoir to obtain preprocessed data; inputting the preprocessed data into a trained key factor determination model, and obtaining a key data type and corresponding data; determining whether an abnormal event occurs or not and the type of the abnormal event according to the key data type and the corresponding data; when an abnormal event occurs, inputting the type of the abnormal event into a preset intelligent diagnosis system, and obtaining a plurality of exception handling schemes; and SWOT analysis is carried out on the various exception handling schemes to obtain a final handling result. According to the method, the safety and reliability of cascade reservoir dispatching operation are improved, and the cascade reservoir operation management level is improved.

The invention belongs to the technical field of a DCS (Distributed Control System) of a nuclear power plant, aims to solve the problems of poor data quality of DCS multi-source heterogeneous data, serious metadata missing, difficulty in data sharing, complexity in user data access and the like, and discloses a multi-source heterogeneous data visualization method for a data warehouse of the DCS of the nuclear power plant. According to the method, metadata management, data source configuration, PASS tenant selection, data large-screen display and the like are carried out. According to the invention, the quality of data related to DCS equipment is improved, unified management and visual display of multi-source heterogeneous data are realized, a convenient and efficient data query and analysis platform is provided for business personnel, the state of a data warehouse can be monitored and mastered in real time, and the operation management level of a nuclear power plant is improved.

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.

The invention discloses a regional power grid equipment maintenance-oriented intelligent decision management method and system, and relates to the technical field of power system dispatching automation, and the method comprises the steps: breaking through a business flow through a service interface technology, and dividing a first object into a pre-event stage, an in-event stage and a post-event stage according to a business process; the first object is optimized and balanced in the pre-stage; performing management and control early warning on the first object in the event stage; and performing intelligent evaluation on the first object item and the index in the post-event stage. According to the intelligent decision management method for regional power grid equipment maintenance provided by the invention, fine management of the maintenance process is realized by performing whole-process management on the maintenance plan; repeated power failure and fault power failure time are reduced to the maximum extent by optimizing maintenance plans of different time scales, an intelligent maintenance decision system is constructed through an intelligent decision and management method, active balance of the maintenance plans is achieved, and the maintenance management level is improved.

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.

The present invention discloses a coupling control model based on multiple channel pools connected in series through an open channel, a construction method and an effect verification method thereof. The coupling model adds a decoupling term on the basis of the ID model, thereby establishing a coupling control model suitable for multiple channel pools connected in series. The coupling model contains three unknown parameters: lag time, backwater area and coupling coefficient. After obtaining the coupling model expression, the model can be used to predict the water level change process downstream of the channel pool, and the model can be used for the design of the open channel controller through the model predictive control algorithm. The coupling control model proposed in the present invention can effectively reduce the coupling influence between channels and pools when applied to multiple channel pools connected in series. The present invention uses the method of model parameter identification and model effect verification to prove that the proposed coupling control model can significantly improve the water level prediction accuracy and open channel control performance, which is of great significance to ensuring the safety and efficiency of the operation of long-distance water diversion projects.