65results about How to "Improve status" patented technology

The invention discloses a power distribution room remote monitoring and fire-fighting inspection system based on a cloud platform, and relates to the technical field of fire-fighting safety monitoring. The system comprises a remote monitoring module, a fire safety monitoring module and an inspection task scheduling module. And the remote monitoring module acquires and stores the running state data of the power distribution equipment in real time to realize continuous monitoring. The fire safety monitoring module obtains environment data of a power distribution room through an environment sensing unit, establishes a fire prediction model through a random forest algorithm in combination with an equipment operation state, and generates a fire prediction index. And the early warning unit simulates a fire spreading process based on the fire prediction index and predicts a fire spreading direction and an influence area. And the inspection task scheduling module intelligently distributes inspection tasks and adjusts task execution strategies in real time according to the fire risk assessment result in combination with the geographic position and the working load of the inspection personnel. The fire risk is accurately predicted and the inspection task is dynamically scheduled, so that the fire-fighting potential safety hazard of the power distribution room can be timely found and eliminated.

The present invention relates to the field of real-time data processing technology, specifically a distributed real-time data stream processing system and method, the system includes a state mapping modeling module, a load dynamic calculation module, a node task adjustment module, and a resource scheduling execution module. In the present invention, by analyzing the data flow change sequence, identifying the frequency and trend of state switching, realizing dynamic identification and classification of flow states, improving the monitoring and understanding capabilities of real-time data, accurately quantifying node resource pressure in resource occupancy and load range analysis, enhancing the predictability of load balancing, providing a scientific basis for resource scheduling, combining task priority sorting and dynamic task adjustment, optimizing node computing resource utilization and task processing response speed, realizing flexible configuration of memory and computing resources, alleviating peak load pressure, improving data processing efficiency and system stability, and improving the system's adaptability and reliability in processing large-scale data flows.

The invention discloses a data cleaning method for digital twinborn data transmission of power transmission and transformation equipment. The method comprises the following steps: acquiring digital twinborn data and preprocessing the digital twinborn data; performing multi-dimensional feature analysis and dimension reduction according to the preprocessed digital twin data; further performing noise filtering and smoothing processing on the dimension-reduced digital twin data; carrying out abnormal value detection and automatic error correction on the digital twin data; and checking the continuity and logicality of the processed data and feeding back the cleaning data. The method has the advantages that efficient cleaning of the digital twin data of the power transmission and transformation equipment is achieved through the strict steps of data preprocessing, feature analysis, dimension reduction, noise filtering, abnormal value detection and data verification, the data processing efficiency and accuracy are improved through the steps, the stability and reliability of the data are enhanced, and the method is suitable for popularization and application. And finally, the purpose of improving the equipment state monitoring and fault prediction capabilities is achieved.

The invention discloses an organic solvent recovery device. The device comprises a pretreatment mechanism, an adsorption mechanism, a steam furnace and the like. The pretreatment mechanism is provided with a filter and a cooler for primarily treating a solvent; the adsorption mechanism is composed of a spiral activated carbon plate, a central electrode and an interlayer electrode, the adsorption process of a solvent is optimized through an electric field, and the service cycle of an adsorption material is prolonged. A vacuum adsorption pump is further arranged in the adsorption mechanism, and the adsorption effect of solvent steam is enhanced by generating a vacuum environment. In addition, the device is further provided with a reversible power supply, reverse regeneration of the adsorption material can be achieved, and the replacement frequency is reduced. The steam furnace is connected with the adsorption mechanism, and solvent recovery is conducted through steam heating. And the rear end of the device is connected with a chimney discharge system to ensure that waste gas discharge meets environmental protection requirements. Through the double adsorption mechanisms and the innovative electrode design, the recovery efficiency is remarkably improved, the operation and maintenance cost is reduced, the environmental protection standard is met, and high economic benefits and social benefits are achieved.

The invention discloses an extra-high voltage transformer fault diagnosis method based on a knowledge graph. The method comprises the following steps: 100, establishing a mapping relation table of an extra-high voltage transformer fault type, a corresponding state quantity and a characteristic quantity; 200, constructing a knowledge graph based on the mapping relation table; 300, node information in the knowledge graph is converted into node embedding vectors, and modeling is conducted on the structure of the knowledge graph through an adjacent matrix; 400, based on the adjacent matrix and the node embedding vector, extracting a fault node feature vector and a feature quantity node feature vector of the knowledge graph; and 500, based on the fault node feature vectors and the feature quantity node feature vectors, calculating the conditional probability that the fault occurs in the fault mode corresponding to each feature quantity, and based on the conditional probability that the fault occurs in the fault mode corresponding to each feature quantity, obtaining the total probability that the fault occurs in the fault mode.

The invention discloses a transformer abnormal state diagnosis and early warning method based on voiceprint characteristics. The method comprises the following steps: acquiring a network topological graph and voiceprint information of a transformer network node; the method comprises the following steps: dividing a transformer into category voiceprint information data by using a support vector machine algorithm, generating a category voiceprint data set, establishing a transformer abnormal voiceprint data optimization model, and updating and outputting transformer abnormal state voiceprint features by using feature smoothing processing according to the transformer abnormal voiceprint data optimization model. And according to the abnormal voiceprint map feature database, through similarity analysis, generating a transformer abnormal state analysis result and outputting the transformer abnormal state analysis result. According to the method, the transformer voiceprint information can be recognized and updated in a complex sound field environment by optimizing and smoothing the voiceprint features, so that the precision and robustness of a subsequent fusion diagnosis model are improved, and the abnormal state diagnosis and early warning effects of the transformer are further improved.

This invention discloses a method, equipment, and medium for super high-rise construction monitoring based on digital twins, relating to the field of digital twin technology. The method includes: acquiring construction operation data from the super high-rise construction site and constructing a digital twin construction model; updating the boundary conditions of the digital twin construction model through a set of construction disturbance events to generate a disturbance-driven twin model; verifying the consistency between the virtual and real data of the model simulation state records in the construction state set and the disturbance-driven twin model to generate a twin credibility evaluation set; improving the local monitoring resolution of high-risk areas to generate twin resolution configuration results; performing local high-precision monitoring of the credible construction twin based on the twin resolution configuration results; and outputting super high-rise construction monitoring results. This invention, by improving the local monitoring resolution and generating twin resolution configuration results, avoids the waste of computational resources caused by global high-precision monitoring, thereby improving the efficiency of monitoring resource utilization and the response accuracy of high-risk areas.

The invention discloses a magnetic random access memory unit, a magnetic random access memory, a phase inverter and a memory, and the magnetic random access memory unit comprises a substrate; the free layer structure is located on the substrate, the free layer structure comprises one or more layers of stacked structures, the stacked structures comprise a first free layer and a plurality of second free layers which are located in the first free layer and are separated from each other, and the first free layer and the second free layers are made of different materials; the multiple layers of stacked structures are stacked in the direction perpendicular to the surface of the substrate; a tunnel layer on the free layer structure; and the fixed layer is positioned on the tunnel layer. The magnetic random storage unit can be used as a basic unit of a logic device and a memory, so that the logic device and the memory have relatively low power consumption, relatively low working voltage and high-temperature reliability.

The application provides a cross-operator eSIM profile migration method and system, comprising: receiving a profile migration request sent by a user terminal; verifying the profile migration request based on a smart contract, and sending a release notification to a source operator node after verification; receiving release confirmation information and data addressing credentials returned by the source operator node; sending a download notification carrying the data addressing credentials to a target operator node, so that the target operator node downloads and decrypts encrypted configuration data based on the data addressing credentials; receiving reception confirmation information returned by the target operator node, and updating the ownership state of the target profile. The method can reduce the dependence on centralized servers by uniformly processing the profile migration process based on the smart contract by the migration management module, thereby improving the collaborative credibility and state update reliability of cross-operator migration, and further reducing the risk of single point failure, data tampering and difficult traceability of migration history.

The invention provides a traditional Chinese medicine preparation for dispelling wind and eliminating dampness and application, and relates to the technical field of traditional Chinese medicine pharmacy, the traditional Chinese medicine preparation is composed of honeysuckle stem, spatholobus stem, silkworm excrement, gentian, safflower, peach kernel, ash bark, arisaema cum bile, medicated leaven and honeycomb; the traditional Chinese medicine preparation can remarkably reduce the ankle joint swelling degree of an acute gouty arthritis model rat, reduce the expression level of inflammatory factors such as TNF-alpha, IL-1beta and IL-6 in serum and reduce the content of uric acid, creatinine and XOD in the serum, so that the effects of resisting inflammation, easing pain and reducing blood uric acid are achieved; clinical test results show that the traditional Chinese medicine preparation can relieve the pain degree of a patient, reduce the levels of inflammation-related factors TNF-alpha and IL-1beta in knee joint synovial fluid of the patient, reduce inflammation indexes WBC, ESR and CRP in serum, relieve the inflammatory reaction of the body of the patient, reduce the occurrence rate of adverse reactions, and improve the curative effect of the patient. A novel traditional Chinese medicine preparation with high safety and good curative effect is provided for treatment of acute gout.

The invention belongs to the technical field of stealth materials, and particularly discloses a radar wave-absorbing repair coating capable of being rapidly cured at low temperature as well as a preparation method and application of the radar wave-absorbing repair coating. Comprising the following raw materials: 18%-22% of organic silicon resin, 3%-7% of epoxy modified organic silicon resin, 4%-8% of a diluent, 56%-64% of an absorbent, 2.5%-3.5% of a curing agent, 1.5%-2.5% of an accelerant, 1.5%-2.5% of a thermal initiator and 1%-3% of an auxiliary agent. Wherein the curing agent is formed by compounding a reaction type curing agent and a catalytic type curing agent, and the mass percent of the reaction type curing agent to the catalytic type curing agent is (2-3): (1-1.5). The radar wave-absorbing repair coating provided by the invention can realize low-temperature rapid curing, has good tensile bonding strength, impact resistance and long-term test temperature resistance, is mature and controllable in process, and completely meets the application of external field rapid repair of radar wave-absorbing coatings of various equipment.

The utility model relates to a kind of electric protection devices of refining furnace door, including refining furnace and furnace door, furnace door is vertical hinged door, further including detection mechanism and the electric push rod of driving furnace door switch, the detection mechanism includes the mounting plate of being fixedly connected in the outside of furnace door, the top rod of being slidably connected on mounting plate along furnace door switch direction and the trigger rod of being horizontally slidably connected on mounting plate, one end of the trigger rod is drivingly connected with top rod, and the other end of trigger rod is equipped with the microswitch of being fixedly connected on mounting plate, the utility model drives furnace door switch by electric push rod, realizes the automation of furnace door operation, specially equipped with detection mechanism, can feedback closed state when furnace door is closed, greatly improve state visibility and operation safety, system is also integrated cooling waterway structure, the working temperature of furnace door and electric actuator is effectively reduced by circulating cooling water in internal water tank and transition water tank, significantly reduce the thermal damage of high temperature to electric push rod and microswitch, prolong service life.

The application belongs to the technical field of metal powder preparation, and particularly relates to a method and system for continuously preparing active metal powder by plasma, which mainly comprises the following steps: first, establishing an inert protective atmosphere; second, continuously feeding raw materials into a plasma reaction chamber by vortex feeding, and in the feeding process, the raw materials obtain a compound motion speed under the coupling action of feeding inertia, gravity and conveying gas force, and stably enter the core reaction zone of the plasma reaction chamber. The raw materials are heated by hot plasma to cause physical and / or chemical conversion, and form metal vapor. The compound motion speed is matched and controlled according to the particle size and density of the raw materials, so that raw materials with different particle sizes and densities can maintain stable motion trajectories. For raw materials with larger particle sizes or higher densities, the stability and continuous feeding capacity of the raw materials into the core reaction zone of the plasma can be significantly improved without simply increasing the flow rate of the carrier gas.

The invention belongs to the technical field of electric energy meters, and particularly relates to a high-strength protection type electric energy meter which is internally provided with a main box body, a feeding cavity with a forward opening is formed in the main box body, a rotating shaft is rotationally arranged between the left wall and the right wall of the feeding cavity, an overturning cover is fixedly arranged on the outer circle face of the rotating shaft, and two sets of track racks which are in bilateral symmetry are fixedly arranged on the lower end face of the overturning cover. The guide cavity connected with the outside is arranged in the rail rack, the display screen, the overturning cover, the filter plate and the main box body are arranged in a surrounding sealing mode, and therefore it is ensured that an internal processing panel and the display screen are thoroughly protected, and the high-strength protection performance of the electric energy meter is ensured; according to the electric energy meter cooling device, external air is driven to enter the cooling cavity through the filter plate, the low-temperature duration is prolonged, then the air flows out through the exhaust hole, the problems of efficient filtering and short time of traditional single cooling are solved, and it is ensured that the electric energy meter is always kept in the optimal state.

The application discloses a product with the effect of improving skin state and a preparation method and application thereof, and belongs to the technical field of cosmetics. The technical problem to be solved is that the moisturizing effect and the refreshing skin feeling cannot be considered under the condition of a high added amount of shea butter oil system, and a product with strong moisturizing power, long-term moisturizing effect and reduced water loss is provided. The technical solution points are that the raw materials include polyglyceryl-3 cocoate / hydrolyzed rice bran extract / hydrogenated rice bran wax, shea butter oil, isononyl isononanoate, cetyl stearyl alcohol, AVC, tocopheryl acetate, phenoxyethanol, ethylhexylglycerin, 10% sodium hydroxide, glycerol, sodium hyaluronate and water.

The invention relates to a main ventilator state parameter early warning method, system, medium and equipment, relates to the technical field of safety engineering, analyzes the basic principle of an MSET algorithm, obtains the key of the algorithm, and proposes two dynamic memory matrix methods based on K nearest neighbor and improved K nearest neighbor. Temperature data of a motor stator with an abnormal state in a main ventilator is selected for an experiment, and a result shows that the root mean square error based on the improved K-nearest neighbor dynamic MSET algorithm is increased from 0.1944 of a normal stage to 1.0563 of an abnormal stage, which shows that the algorithm has higher recognition capability on abnormal points. And after the residual error is smoothed by introducing an exponential weighted moving average value, early warning is given out 112 minutes earlier than that of a K-nearest neighbor dynamic MSET algorithm based on the improved K-nearest neighbor dynamic MSET algorithm.

The application relates to the technical field of metal material detection, and provides an alloy spring steel austenite grain size detection method, which comprises the following steps: carrying out heating and heat preservation treatment on an alloy spring steel sample, the temperature of the heating and heat preservation treatment is in a grain boundary segregation sensitization temperature interval of phosphorus elements, so that the phosphorus elements are segregated at original austenite grain boundaries; carrying out metallographic sampling on the alloy spring steel sample after the heating and heat preservation treatment to obtain a metallographic sample; carrying out corrosion treatment on the metallographic sample under heating conditions by using a water-based etching liquid, the water-based etching liquid comprises picric acid and a surfactant; and observing the metallographic sample after the corrosion treatment to obtain austenite grain size. The application simplifies a detection process, clearly shows original austenite grain boundaries, and improves grading accuracy.

The present invention belongs to the technical field of path optimization, and discloses an educational intelligent learning path recommendation system; including: establishing an efficient user learning willingness evaluation system and dynamically optimizing the learning path through multimodal data fusion. Collect the user's emotional text data and voice data, convert the voice into text and perform unified processing, including removing neutral vocabulary, punctuation marks and calculating the emotional score; establish a positive / negative vocabulary, combine the emotion intensity label, train a multi-layer perceptron model, predict the emotion intensity and calculate the willingness evaluation value in combination with the score. At the same time, the comprehensive willingness evaluation value is further calculated in combination with the user's screen switching frequency and heart rate mutation data. Finally, based on the evaluation value and stress status, dynamically recommend a learning path suitable for the user, and flexibly adjust the content difficulty according to the user status.

The invention relates to the technical field of dispensing equipment, and provides an automatic valve and glue changing device applied to dispensing equipment, comprising: a back plate main body, one side of which is provided with a back fixing plate, the other side of which is provided with a driving hinge, and which is internally provided with an air chamber and a movable push rod communicated by an air passage; a clamping hook clamped with the driving hinge is arranged on one side of the valve main body, an electromagnet is arranged on a mounting seat on the other side of the valve main body, and the bottom of the valve main body is connected with a runner; the cylinder fixing support is provided with a containing part, an adapter and a metal plate capable of being attracted by the electromagnet. The movable push rod can be driven by air pressure to push the drive hinge to stretch out and be clamped with the clamping hook, and therefore the valve body can be rapidly locked. The electromagnet can adsorb the metal plate to realize rapid combination of the rubber sleeve; the device has the characteristics of modular structure, reliable locking, quick replacement, good sealing performance and high integration level.

The invention discloses a rockburst disaster prediction method based on an optimized extreme gradient lifting classification model, and relates to the technical field of environment monitoring, and the method comprises the steps: obtaining multi-shift monitoring data of a coal mine working face, carrying out the preprocessing, dividing the data into a training set and a test set, and taking an initial hyper-parameter extreme gradient lifting classifier as a basic model, and using at least one meta-heuristic optimization algorithm to optimize the hyper-parameters, training and constructing a hybrid prediction model, inputting real-time monitoring data into the hybrid prediction model to carry out rockburst disaster prediction, and outputting a coal mine rock burst disaster risk prediction result. According to the method, the technical problems of low disaster prediction accuracy and dangerous state recall rate and high missing report risk caused by insufficient sensitivity of an existing coal mine rock burst disaster prediction model to unbalanced monitoring data are solved, and the purposes of optimizing an extreme gradient lifting classifier through a meta-heuristic algorithm and improving the prediction accuracy of the coal mine rock burst disaster prediction model are achieved. The disaster prediction accuracy and the dangerous state recall rate are improved, and the missing report risk is reduced.

The present application belongs to the field of rotating machinery monitoring, and particularly relates to a rotating machinery RUL prediction method based on a GTFDAU network, comprising: extracting multi-dimensional time-frequency features of rotating machinery and pre-processing, constructing HI through DRSSN for the pre-processed feature data, building a GTFDAU network and realizing RUL prediction. The present application obtains the GTFDAU network by integrating a transient fluctuation gate and two attention gates, the network can deeply mine the transient fluctuation information and long-term overall information in the historical information, and combines the attention mechanism to respectively strengthen the adaptive learning and state updating of the history and current information, so as to improve the long-term and short-term prediction ability and robustness of RUL.

The invention discloses a marine engine room electromechanical equipment state monitoring device, and relates to the technical field of marine engine room equipment monitoring, the marine engine room electromechanical equipment state monitoring device comprises a protection box body, a communicating pipe is provided with an electromagnetic valve, a nozzle is arranged below a partition plate, and the nozzle is fixedly communicated with a water tank through a conveying pipe. The air compressor is started, the air tank is inflated through the air delivery pipe, the air compressor is closed after the air pressure in the air tank reaches a set value, and the air pressure in the air tank is kept. Smoke of the temperature of electromechanical equipment is monitored through a temperature sensor and a smoke sensor, when the temperature sensor and the smoke sensor monitor that the temperature of the electromechanical equipment is abnormal and smoke is generated, an electromagnetic valve on a communicating pipe is opened, gas in a gas tank is filled into a water tank at the moment, dry powder in the water tank is extruded out, and the dry powder is sprayed out through a nozzle; and the electromechanical equipment is covered and isolated, fire spreading is prevented, and loss is reduced.

The invention discloses enterococcus faecium, a microbial inoculum as well as application and a method of the enterococcus faecium, the enterococcus faecium is enterococcus faecium TC3 and is preserved in the China Center for Type Culture Collection (CCTCC), and the preservation number of the enterococcus faecium is CCTCC NO: M 20242431. The invention also provides a microbial inoculum, wherein the microbial inoculum contains the enterococcus faecium TC3, and the enterococcus faecium TC3 can be used for preparing the microbial inoculum. Before a healthy pig is inoculated with a porcine reproductive and respiratory syndrome vaccine, the enterococcus faecium TC3 or the microbial inoculum is fed to the healthy pig, and then the healthy pig is inoculated with the porcine reproductive and respiratory syndrome vaccine, so that the effect performance of the pig inoculated with the porcine reproductive and respiratory syndrome vaccine can be improved, the antibody positive rate of the pig inoculated with the porcine reproductive and respiratory syndrome vaccine is increased, and the economic benefit of the pig is improved. The protection rate of the pigs inoculated with the porcine reproductive and respiratory syndrome vaccine is increased, the antibody dispersion of the pigs inoculated with the porcine reproductive and respiratory syndrome vaccine is reduced, and the survival rate of the pigs infected with the porcine reproductive and respiratory syndrome virus after the pigs inoculated with the porcine reproductive and respiratory syndrome vaccine is increased.

The wastewater treatment system comprises a water inlet unit, a reactor, a separation unit and a circulation unit which are sequentially connected to form a closed-loop system, the water inlet unit is further connected with a chemical dosing unit, the water inlet unit is used for conveying wastewater to the reactor, and the chemical dosing unit is used for adding alkali into the wastewater to adjust the pH value and providing required magnesium ions; a fluidization reaction zone and a separation zone are arranged in the reactor, and the fluidization reaction zone promotes generation and growth of struvite particles through particle collision and aggregation; the separation zone enables generated particles to partially fall back to the fluidization reaction zone for continuous reaction through preliminary solid-liquid separation; the separation unit is used for receiving the wastewater in the separation area, further removing residual particles, and enabling the small particles to flow back to the reactor through the circulation unit for recycling. By optimizing particle generation, separation and backflow processes in wastewater treatment, formation of target large particles is promoted, resource recycling is facilitated, meanwhile, consumption of chemical agents is reduced, and cost is reduced.

This invention discloses a three-dimensional quantitative detection method for contact network wear and deformation by fusing image and point cloud data, belonging to the field of computer vision technology. The method synchronously acquires contact network data through a multimodal sensor array to construct a multi-physics field observation dataset; it combines a digital twin of the contact network for spatiotemporal alignment to solve for real-time pose correction parameters; it reconstructs the implicit field of three-dimensional wear morphology by fusing image and point cloud data; it extracts electromechanical coupling feature vectors and combines them with a physical information neural network to solve for the current-temperature-wear multi-physics field, obtaining the current density distribution field and the local transient temperature rise field; it calculates the remaining safe operating mileage of the contact network based on the wear rate evolution and generates a quantitative detection report including a prediction of wear development trends. This invention achieves deep fusion of image and point cloud data, establishes the correlation between wear geometry and dynamic service performance, and improves the accuracy, physical interpretability, and condition assessment capability of contact network wear detection.

This invention relates to the field of production control technology, specifically to an adaptive control system for parameters of a rubber sheet production line based on digital twins. The system inputs hot profile data and support roller reference surface data into a topography decoupling network, outputting substrate thickness distribution and valley thickness distribution. The substrate thickness distribution, valley thickness distribution, sheet surface temperature data, and material formula codes are input into a cold-state conversion network model, outputting cold-state substrate thickness distribution and effective valley thickness distribution. These cold-state substrate thickness distribution and effective valley thickness distribution are then input into a collaborative control analysis model. A shaping pressure compensation command is generated based on the effective valley thickness distribution. Simultaneously, the shaping pressure compensation command and extrusion interference parameters are combined to identify extrusion compensation parameters, which are then converted into feedforward compensation amounts. Lateral profile adjustment commands and roller gap adjustment commands are generated based on the cold-state substrate thickness distribution and feedforward compensation amounts. The system is pre-run and verified in a digital twin simulation environment before being distributed to the shaping unit and calendering unit.

The application discloses a kind of indicator light display circuit and method with memory function, including signal state monitoring unit, memory unit, indicator light driving unit and indicator light body, method includes step one, design circuit unit;Step two, circuit wiring and debugging;Step three, circuit signal state monitoring;Step four, monitoring data storage;Step five, monitoring data visualization;In the step one, memory unit is a certain number of storage locations of memory, can use volatile memory or non-volatile memory, can be realized using programmable logic device, compared with the existing circuit board card indicator light, a small amount of indicator light can be used to display multiple sets of state data at different times, greatly increase the number of states that can be indicated, while designed with memory function, can display key historical state, this method is very helpful to improve the state monitoring and fault diagnosis capability of circuit board card.

The application discloses a CTC system station display terminal implementation method based on a BS architecture, and aims to solve the problems that the existing CS architecture terminal cannot support the China security, cannot cross platforms, and data is dispersed and the like. The application adopts a two-level architecture of a server end and a browser end, the server end is adapted to a domestic chip and an operating system, and realizes permission management based on user roles and dynamic permissions; a station field diagram is drawn by adopting D3.js combined with SVG and a layered rendering mechanism; WebSocket and a timestamp-based incremental data synchronization algorithm are used to push the information change amount, and a disconnection reconnection and data retransmission mechanism is configured; and a geometric hash value is generated for station field diagram elements to accelerate interactive response. The application realizes cross-platform operation, centralized data storage, lightweight deployment and high real-time display, and can be widely applied to station field monitoring terminals of railway dispatching centralized control systems.

This invention discloses a method for processing organic Wuyi rock tea with triple aroma enhancement and high sweetness through heavy fermentation at 51.3℃, belonging to the field of tea processing technology. Using fresh Wuyi rock tea leaves as raw material, after withering and cooling with cold air, the tea undergoes four cycles of ambient temperature withering, each cycle including shaking, static fermentation, and cold air blowing, with the shaking time progressively extended. Then, three temperature-controlled heavy fermentation cycles are performed, with static fermentation at 51.3℃ for 35-45 minutes, and the shaking time progressively extended until the leaves reach a state of three parts red and seven parts green. Finally, a final aroma enhancement shaking is performed, followed by direct fixation. After light pressing, heavy pressing, and light pressing and kneading, the tea undergoes initial drying, cooling, and re-drying to obtain the raw tea. This invention coordinates the oxidation transformation and moisture changes of fresh leaves at different maturity levels, reducing the bitterness of the finished tea, improving floral and fruity aromas, sweetness, and flavor harmony, and enhancing aroma retention and quality stability during storage.

This invention provides a feedforward control method and system for spring forming accuracy, belonging to the field of spring machine control technology. The feedforward control method for spring forming accuracy includes the following steps: acquiring abnormal wire feeding data, tension drift data, winding offset data, cutting deviation data, dimensional fluctuation data, and equipment status data to establish an accuracy anomaly monitoring dataset; identifying mild, moderate, and severe deviation states based on the accuracy anomaly monitoring dataset, and calculating the accuracy instability index, cycle time disturbance index, and forming risk index; generating graded feedforward judgment results, parameter over-limit results, anomaly aggregation results, and cycle time reset requirement results based on the accuracy instability index, cycle time disturbance index, and forming risk index; and determining the parameter fine-tuning amount corresponding to the mild deviation state, the linkage compensation amount corresponding to the moderate deviation state, and the cycle time reset amount corresponding to the severe deviation state based on the graded feedforward judgment results.