15 results about "Water industry" patented technology

The invention discloses a multi-level water supply and drainage balance monitoring method and system for the water affair industry, and relates to the technical field of water affair monitoring. The method comprises the following steps: deploying a multi-level monitoring network; the method comprises the following steps: collecting real-time data of a multi-level monitoring network, executing space-time alignment operation, and preprocessing the data; constructing a quarterly three-dimensional water balance equation, and dynamically estimating through Kalman filtering; dBSCAN clustering is implemented based on pipe network topology, and leakage positioning is carried out to generate a leakage probability thermodynamic diagram; and establishing a hierarchical response mechanism to carry out multi-level early warning linkage, and rendering a multi-layer perspective view in a GIS (Geographic Information System) engine. According to the method, a quarterly three-dimensional water balance equation is constructed through a city-region-enterprise three-level dynamic weight model and a hierarchical penetration algorithm, and dynamic estimation is performed through Kalman filtering; dBSCAN clustering is implemented based on the pipe network topology, leakage positioning is performed, a leakage probability thermodynamic diagram is generated, the water affair monitoring efficiency is improved, and the manual troubleshooting workload is reduced.

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.

The present invention provides a comprehensive analysis and scheduling method based on water supply area data in the water industry. The method obtains water source data, water supply data, and water consumption data in the target area, and then classifies each device node on the path to obtain a final classification result. The method uses the water shortage rate of the demand area as a basis, and determines all device nodes based on the final classification result, water consumption, and water supply. These nodes are connected according to the water supply direction to obtain multiple target paths, from which the final water supply path containing the least device nodes, key device nodes, and the shortest distance is determined. The final water supply path is updated in real time. The present invention comprehensively considers the water shortage rate and multiple factors affecting water supply cost and efficiency to plan the final water supply path, and updates the final water supply path according to real-time data. Therefore, compared with the existing technology, the present invention is more efficient and less costly in water supply, and can ensure that the demand area with the highest water shortage rate can receive water in a timely manner.

1. The name of the design product: proton exchange membrane electrolytic cell. 2. The use of the design product: for PEM electrolytic water industry hydrogen production. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

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.

1. The name of the design product: integrated height-reducing replaceable battery electromagnetic water meter. 2. The use of the design product: applied to the water industry. 3. The design points of the design product: in the right view. 4. The picture or photo that best indicates the design points: right view.

The present invention provides a method and device for recommending water products based on a large model. The method includes: obtaining water industry request information; performing feature extraction on the water industry request information to obtain target water key features; obtaining water feedback information based on the target water key features and a preset water knowledge base; obtaining water product recommendation information based on the target water key features and a preset water product library; and obtaining a feedback report based on the water industry request information, the water feedback information, and the water product recommendation information. The present invention can not only provide professional answers to users in the water industry, but also recommend water industry-related products with a high degree of matching to users based on their intentions, which is conducive to improving user satisfaction and reducing sales costs.

Antibacterial thermoplastic substrate and its uses, the substrate including at least one thermoplastic and at least one framework silicate, the framework silicate containing at least one antibiotic metal and / or antibiotic metal ion and the substrate having a silicate layer on at least a portion of the outer surface. The substrate is suitable for use as semi-finished products in the automotive industry, in mechanical engineering, in apparatus construction, for chemical plants, in tool manufacturing, in the pharmaceutical, food, and packaging industries, in the electrical and electronics sector, in sanitary and furniture manufacturing, in the water treatment and drinking water industry, in sealing materials such as silicone seals in bathrooms, in the manufacture of cosmetics and writing instruments, in the oil and gas industry, in medical products, and / or in construction products.

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 utility model discloses an automatic salting and stirring device in the water production industry in the technical field of salting in water production, which comprises a salt dissolving tank, the top of the salt dissolving tank is connected with a water supply pipe, the other side of the salt dissolving tank is connected with a salt supply frame, a salt barrel is arranged on one side of the salt supply frame and close to the bottom, the bottom of the salt dissolving tank is connected with a liquid discharge pipe, and the liquid discharge pipe is connected with a water outlet pipe. A stirring assembly is installed on the inner side of the salt dissolving tank, materials can be stored in the salt barrel, continuous feeding is carried out through a driving part, salt and water can be stirred and mixed through the stirring assembly in the salt dissolving tank, and the problems that when existing equipment is used for feeding salt, blockage is likely to happen, feeding is not continuous, and the salt dissolving tank is damaged are solved. The problems that salt is accumulated at the bottom of the equipment and cannot be conveniently ground and refined, and the stirring and mixing efficiency and practicability of the equipment on the salt and water are affected are solved.

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.