8 results about "Water industry" patented technology

The invention relates to the technical field of intelligent water affair scheduling, and discloses an intelligent monitoring and optimal scheduling system based on a water industry whole process. According to the system, data are collected through multi-dimensional monitoring nodes deployed in a water source, a water delivery pipe network and a treatment plant, and a standardized data sequence is formed after anomaly recognition and cleaning. And inputting the standardized sequence into the supply capability prediction model, and generating a prediction map reflecting a future supply situation. Based on the map and the real-time water demand, dynamic simulation and conflict detection of the distribution path are carried out to generate an initial scheme, optimization is further carried out through redundancy analysis and bottleneck node identification, and finally a water source distribution instruction set is formed. According to the system, the whole-process intelligence from data acquisition to optimal scheduling is realized, and the predictive scheduling capability, the operation toughness and the resource allocation efficiency of the water supply system are improved.

This invention relates to the field of intelligent model training technology, specifically a method and system for training and inferring a large-scale knowledge-enhanced model in the water industry. The method includes: confirming the large-scale model's operating environment based on water industry model training and inference instructions; classifying and extracting the water industry dataset based on a basic knowledge parsing unit; abstracting features from multimodal operating data and industry experience knowledge sets based on structured modeling rules; updating parameters of a general basic large-scale model based on model training constraint rules; inputting real-time water industry operating data into the water industry knowledge-enhanced large-scale model for joint inference calculation based on a water industry operating condition inference unit; using a target knowledge representation set to screen candidate control strategies for compliance; verifying the execution of the target strategy; and obtaining the optimal operating strategy based on the strategy deviation evaluation value. This invention can improve the security, real-time adaptability, and reliability of large-scale model training and inference in the water industry.

The invention discloses a security knowledge graph retrieval method, device and equipment for a water conservancy industry network and a storage medium, and relates to the technical field of water conservancy, and the method comprises the steps: obtaining and converging knowledge, topology, asset and attack data of the water conservancy industry network, and forming an original data set containing structured and unstructured data; the method comprises the following steps: preprocessing attack data, standardizing an attack technique and characteristics of the attack data into alarm type, grade and direction information, enriching in combination with geographic information and intelligence data to obtain target standardized data, converting the data into a knowledge triad by utilizing a BERT model, and constructing an association network based on a preset graph database, forming a target security knowledge graph; the attack path and trend are analyzed based on the mapping knowledge domain, and finally, an efficient retrieval result is output by combining a graph algorithm and user query, so that the efficiency of retrieving the mapping knowledge domain is improved.

The application discloses a kind of water industry multilevel supply and discharge water balance monitoring method and system, it is related to water monitoring technical field.The present application includes the following steps: deployment multilevel monitoring network;Real-time data of multilevel monitoring network is collected, and data is preprocessed after executing space-time alignment operation;Quarterly three-dimensional water balance equation is constructed, and it is dynamically estimated by Kalman filtering;Based on pipe network topology, DBSCAN clustering is implemented, and leakage positioning is generated to generate leakage probability thermodynamic diagram;Establish hierarchical response mechanism to carry out multistage early warning linkage, render multi-layer perspective view in GIS engine.The present application constructs quarterly three-dimensional water balance equation by "city-district-enterprise" three-level dynamic weight model and hierarchical penetration algorithm, and it is dynamically estimated by Kalman filtering;Based on pipe network topology, DBSCAN clustering is implemented, and leakage positioning is generated to generate leakage probability thermodynamic diagram, improve water monitoring efficiency, reduce artificial investigation workload.

The invention discloses a water affair industrial control risk prediction system based on intelligent management, and relates to the technical field of industrial control system safety, and the system comprises a data collection module which obtains bottom layer physical operation data and process monitoring data; the virtual flow back calculation module is used for carrying out back calculation on a virtual flow reference based on the motor electric power; the trust residual analysis module is used for calculating a dynamic residual and a change rate between the network flow and the virtual flow reference; the cavitation state diagnosis module is used for generating an acoustic-electromechanical coupling cavitation index by combining the inlet pressure, the virtual flow and the volute acoustic characteristics; the cross-domain joint reasoning module is used for judging a data tampering risk and triggering a first response when the residual change rate is in positive correlation with the dosing frequency, and judging a physical induced cavitation risk and triggering a second response when the cavitation index is out of limit and a water inlet reducing instruction exists or the flow is suddenly reduced; according to the invention, industrial control network data credibility verification and physical security threat cooperative detection are realized.

The application relates to the technical field of intelligent water management scheduling, and discloses a water industry whole-process intelligent monitoring and optimal scheduling system. The system comprises the following steps: collecting data through multi-dimensional monitoring nodes arranged at water sources, water transmission pipe networks and treatment plants, forming a standardized data sequence after abnormality identification and cleaning. The standardized sequence is input into a supply capacity prediction model to generate a prediction atlas reflecting future supply situation. Based on the atlas and real-time water demand, dynamic simulation and conflict detection of distribution paths are carried out to generate an initial scheme, and the initial scheme is further optimized through redundancy analysis and bottleneck node identification, so that a water source distribution instruction set is finally formed. The system realizes whole-process intelligentization from data collection to optimal scheduling, and improves the predictive scheduling capability, operation resilience and resource allocation efficiency of the water supply system.

The invention relates to the technical field of food processing, and discloses a honey water bottle cap conveying mechanism with a disinfection function, which comprises a mounting frame, a conveying belt is arranged on the mounting frame, a guide frame is further fixedly connected to the mounting frame, the guide frame is divided into a guide section, a conveying section, a slope section and a detection section, and a trigger assembly is arranged at the top of the detection section. An opening and closing assembly is arranged at the bottom of the detection section, a pushing assembly is arranged on the slope section, and a spiral conveying frame and a discharging inclined plate are further arranged at the bottom of the detection section. By means of the design, it is guaranteed that all bottle caps entering the ultraviolet disinfection area are in a downward opening state, disinfection pertinence and thoroughness are remarkably improved, manual operation is replaced with a full-automatic sorting mechanism, production line continuity and production efficiency are improved, meanwhile, the disinfection path and time of the bottle caps are prolonged through a spiral conveying structure, and the production efficiency is improved. The bottle cap sterilization device is suitable for an automatic production line with strict requirements on bottle cap sanitation in the food industry of honey water and the like.

1. Name of the product in this design: Intelligent Pump Frequency Converter. 2. Application of this design: This design is intended for use as a frequency converter, specifically for integrated drive controllers in the water industry. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: The enlarged view of part A of Design 1 is a partial enlarged view of part A of the 3D view of Design 1, and the enlarged view of part A of Design 2 is a partial enlarged view of part A of the 3D view of Design 2.