1758 results about "Continuous operation" patented technology

The invention relates to the field of intelligent interaction, and discloses an intelligent hardware dynamic interaction system based on voice semantic fusion and multi-modal perception, which comprises the following steps of: constructing a context model of continuous operation by collecting continuous voice instructions, gesture actions and expression information of a user; semantic analysis and feature fusion are carried out on currently collected voice, gesture and expression features, meanwhile, credibility indexes of all modes are calculated through a weighting or deep learning model, weighting correction is carried out on a fusion result, a real-time feedback algorithm is adopted for weight adjustment for continuous optimization, the next operation intention of a user is predicted through deep learning, and the user experience is improved. And in combination with historical interaction data, online feedback and prediction errors, context management, modal weight and intention prediction strategies are adaptively optimized, and the updated strategies are used for next-round context acquisition and multi-modal fusion. The method has the advantage of improving the recognition accuracy in the continuous interaction scene.

The invention discloses an active prediction type modular battery thermal management system, which comprises the following steps: a liquid path and electrical connection module, a data acquisition module, a communication transmission module, a working condition identification module, a feedback control module, a cooperative control module, an execution adjustment module, a state feedback module, an exception handling module, a redundancy switching module and the like. A prediction control instruction is generated by combining a working condition recognition result, a fusion control quantity is formed by the prediction control instruction and temperature feedback, amplitude limiting control is conducted according to thermal power evaluation and a set threshold value, coordinated adjustment of a pump, a valve and a bypass assembly is achieved, and if recognition fails or data is abnormal, the system automatically freezes prediction control and executes closed-loop adjustment only depending on feedback. And the standby device takes over the fault after fault judgment, so that continuous operation and safety maintenance of the system are guaranteed. The system has a modular structure and complete maintenance process support.

The invention relates to the technical field of power systems, and discloses a voltage regulation system of reactive power compensation equipment, which is characterized in that harmonic interference is filtered and eliminated through a voltage reactive power sensing unit, and accurate power grid parameters are acquired; a load trend pre-judgment unit analyzes the historical load curve and the real-time change trend to generate a future pre-judgment signal; the dynamic compensation calculation unit combines the current power grid state with the prediction to calculate the optimal compensation capacity and generate a switching instruction, after the hybrid switching actuator receives the instruction, a thyristor is triggered firstly to realize inrush current-free conduction, a contactor is switched to maintain low power consumption after the current is stable, and meanwhile, the compensation state monitoring unit performs closed-loop adjustment on parameter deviation, so that the optimal compensation capacity is obtained. The multi-dimensional protection unit prevents overvoltage, overcurrent and overheating, the double-path power supply guarantees continuous operation when the main power supply is abnormal, the intelligent communication unit realizes data uploading and remote cooperation, quick response switching of reactive compensation equipment and guarantee of safety of a large-scale power grid are realized, and inrush current impact in the switching process is effectively inhibited.

The invention discloses a self-powered cholesteric phase display screen display driving system and a control method thereof, and belongs to the technical field of display. The system comprises a low-light energy acquisition module, an energy management module, a control module and a display driving module. The control module controls the turn-off and turn-on of the voltage output function of the energy management module by outputting a sleep / wake-up signal, so that the system is charged by using ambient light during sleep, and image refreshing is quickly completed and the system enters sleep again during wake-up. By setting a balance point of wake-up time and energy consumption, it is ensured that refreshing energy consumption is lower than charging energy, so that energy self-balance and continuous work of the system in a luminous environment are achieved, and external charging is not needed. The problems that an existing cholesteric phase display needs frequent external charging during continuous work and a traditional light energy power supply scheme is low in efficiency in the low-light environment are mainly solved, self-powered continuous operation of the cholesteric phase display in the indoor and outdoor low-light environment is achieved, and use convenience is improved.

The invention provides an intelligent optimization control method for stable operation of a hydraulic system in a complex environment, which comprises the following steps of: aiming at an abnormal mode, optimizing power configuration parameters by adopting a genetic algorithm, determining a standby pump activation threshold value and a main pump switching condition, and obtaining a power redundancy scheme; according to the slow response reason, pipeline interface data are obtained, a feedback control mechanism is adopted to adjust valve group cooperation parameters, and a rapid pressure adjustment sequence is obtained; acquiring real-time feedback data according to the final optimization instruction, and processing high-temperature and high-dust influence through an iterative updating process to obtain stable operation configuration; according to the stable operation configuration, the state of the whole system is judged, and if the state meets the preset standard, a cooperative control result is output and used for maintaining continuous operation of the hydraulic system in the complex environment.

The invention discloses an energy storage power adaptive coordination method for a photovoltaic portable energy storage power supply. The method is suitable for off-grid, emergency and outdoor scenes without power grid support. According to the method, photovoltaic output, load requirements, battery states and environmental parameters are collected in real time, the future photovoltaic output trend is predicted in combination with illumination and temperature data, and prospective power scheduling is achieved; charge and discharge power is dynamically adjusted based on the state of charge (SOC) of the battery, overcharge and overdischarge are avoided, and the service life of the battery is prolonged; when multiple paths of loads are connected, graded power supply is implemented according to a preset priority, and continuous operation of key equipment is ensured; and meanwhile, a lightweight machine learning algorithm is introduced, and a charging and discharging correction strategy and an expert rule base are optimized on line based on historical operation data, so that the system has adaptive evolution capability. According to the invention, efficient utilization of photovoltaic energy, load intelligent guarantee and energy storage safety collaboration are realized, and the intelligent level, the operation stability and the long-term reliability of the portable energy storage power supply are remarkably improved.

The invention discloses a drilling, deslagging, charging and blocking integrated device, which belongs to the technical field of tunnel engineering and open-air engineering blasting equipment, and comprises a mobile vehicle body, a multi-link structure, a drilling and deslagging device, an explosive filling device and a stemming blocking device. The drilling and deslagging device is used for drilling and discharging drilling cuttings; and the explosive filling device independent track is arranged above the drilling machine beam track in parallel and is used for accurately conveying detonators and emulsion explosives into holes. After drilling is completed, the explosive filling device moves downwards in parallel to be aligned with the hole site for charging; after charging, the device moves upwards to drive the stemming plugging device to reach an orifice, and drilling cuttings discharged by drilling are directly used as stemming raw materials for automatic compaction and plugging. The problems that in the traditional blasting construction process, equipment is frequently switched, the manual operation efficiency is low, high-risk link manual operation needs to be conducted, and stemming raw materials need to be prepared independently are solved, automatic continuous operation of the whole process of drilling, charging and plugging is achieved, and the construction efficiency and intrinsic safety are remarkably improved.

The invention discloses a broadband oscillation characterization platform of a multi-chip power module and a near-field characteristic evaluation method, and belongs to the technical field of power electronics. The continuous operation condition of the power converter is decoupled into a series of discrete switching points, transient near-field radiation data of a to-be-tested power module under the discrete switching points are obtained through a double-pulse test, and near-magnetic field radiation signals are reconstructed; performing time-frequency analysis on the reconstructed near magnetic field radiation signal to generate a two-dimensional time-frequency matrix; and calculating a radiation energy entropy value based on the two-dimensional time-frequency matrix, fusing the radiation energy entropy value with the peak amplitude in the two-dimensional time-frequency matrix to generate a comprehensive EMI index for evaluating the broadband oscillation electromagnetic interference risk, and triggering EMI risk early warning when the comprehensive EMI index exceeds a threshold value. According to the method, the spectrum complexity is quantified through the radiation energy entropy, the multi-dimensional EMI risk assessment is carried out by fusing the peak amplitude of the time-frequency matrix, and the broadband oscillation in the multi-chip parallel power module can be accurately and efficiently represented.

The invention belongs to the technical field of collaborative unmanned aerial vehicle cluster reinforcement learning, and relates to an unmanned aerial vehicle cluster dynamic strategy optimization method based on a super network and a diffusion model. A dynamic weight generator (super network) is embedded in a diffusion strategy model (MADiff) framework, a differentiated Actor network weight is generated for each agent, and strategy personalized customization is realized, so that the problems of cooperation failure and training oscillation caused by strategy homogenization in a traditional method are solved. The dynamic strategy optimization normal form is especially suitable for continuous operation of a large-scale unmanned aerial vehicle cluster in a non-stationary environment, and a reinforcement learning framework with environment perception-strategy prediction-dynamic adjustment closed loop is constructed. The performance of the system in the aspects of dynamic task collaboration, non-stationary strategy optimization, distributed decision consistency and the like is remarkably improved, and key technical support is provided for application of an intelligent unmanned cluster in a complex scene.

The invention relates to the technical field of production state management, in particular to an LCD display screen production state collaborative management method based on the industrial internet, which comprises the following steps of: acquiring execution cycles and response delays of multiple devices, performing aggregation analysis, generating a rhythm synchronization parameter table, performing time sequence alignment to calculate time sequence offset and generating a time sequence calibration instruction; the method comprises the following steps of: analyzing current power and cycle deviation to form an equipment coupling trend, monitoring a scheduling rhythm correction execution sequence, dynamically estimating delay and optimizing a production state management cooperative control result, realizing cooperative measurement and difference identification through multi-equipment rhythm normalization aggregation, and improving state response precision and synchronization consistency through time sequence alignment; load coupling analysis balances energy consumption distribution and rhythm, whole-line scheduling correction realizes production rhythm balance and continuous operation, the resource utilization rate and the production efficiency are improved, process waiting and energy consumption fluctuation are reduced, and the system cooperation and self-adaptive regulation and control capability is enhanced.

The invention discloses an industrial transfer robot path planning method based on artificial intelligence, relates to the technical field of industrial transfer robot path planning and multi-robot cooperative control, and provides a systematic breakthrough for narrow roadway passage of an industrial transfer robot through deep cooperation of the game theory and federal learning. A robot meeting scene is modeled as a limited action game, and a revenue function is designed in combination with priority weight and security constraint, so that the robot can autonomously generate a forward, yielding or keeping strategy, and bidirectional deadlock is avoided from the source; through a synchronous output mechanism of action probability distribution and a time window, the strategy performability is remarkably improved; the track layer directly generates a synchronization path on the cost graph according to the time window, and motion interruption caused by repeated sampling in a dynamic window method is avoided; even if track deviation or communication abnormity occurs, the rollback strategy can guarantee that the system recovers to be stable immediately, and continuous operation of the production line is maintained.

The invention discloses a carbon transaction-oriented biomass gas coupling coal-fired power generation full-life-cycle carbon emission accounting method. The method comprises the steps of determining accounting boundaries of collection and transportation, storage pretreatment, gas production and coupling power generation of covering raw materials; activity data are collected, space-time mapping of upstream batch data and unit side continuous operation data is established, and data quality grading and uncertainty measurement are carried out; when actually measured synthesis gas components or lower calorific values are missing, a soft measurement model is constructed based on operation data, batch characteristic feedforward coupling is introduced, and an estimated value and uncertainty are output; calculating an intermediate quantity based on a material-energy-carbon conservation mechanism model, performing dynamic correction by adopting a residual correction model containing physical consistency constraint, and adjusting a physical constraint weight according to uncertainty; and an emission list and an MRV data packet are generated in combination with the dynamic emission parameters, and are used for monitoring, reporting, checking and transaction settlement, so that the precision and the traceability are improved, and the physical consistency is ensured.

The invention relates to a waste liquid treatment device for automatically separating radionuclides. The waste liquid treatment device comprises a first waste liquid collection passage and a second waste liquid collection passage, an upstream liquid supply channel shared by the two channels comprises an injection pump and a multi-way valve, and the injection pump inputs liquid into the multi-way valve. The first waste liquid collecting channel directly guides cleaning liquid, replacement liquid and the like which do not need to be reserved into a waste liquid barrel through a first output port of the multi-way valve. The second waste liquid collecting channel is sequentially connected with a plurality of resin columns, a waste liquid tank, a peristaltic pump and a waste liquid barrel through a second output port of the multi-way valve, waste liquid generated by the resin columns firstly enters the waste liquid tank for temporary storage, and when the liquid level of the waste liquid tank reaches a preset threshold value, the peristaltic pump automatically pumps and discharges the waste liquid into the waste liquid barrel for centralized collection. The device can distinguish reserved liquid from waste liquid according to steps, realizes automatic flow division, temporary storage and discharge of the waste liquid, avoids manual pouring of the waste liquid halfway, ensures continuous operation of a long-time and multi-channel separation process, and reduces the risk of personnel exposure in a radioactive waste liquid treatment process.

The invention discloses multifunctional wafer detection equipment. The equipment comprises an edge detection module, a robot, two sets of macroscopic detection units arranged in parallel and a microcosmic detection assembly. The robot is arranged on the side of the edge detection module to transfer the wafer. Each macroscopic detection unit comprises a transfer mechanism, a wafer rotating and transferring mechanism, an external clamping mechanism, an internal clamping mechanism and a photographing module. Wherein the transfer mechanism is used for receiving wafers from the robot; the working range of the rotary wafer transfer mechanism covers the transfer mechanism, the external clamping mechanism, the internal clamping mechanism and the microscopic detection assembly, and is responsible for efficiently transferring wafers among the transfer mechanism, the external clamping mechanism, the internal clamping mechanism and the microscopic detection assembly; the external clamping mechanism and the internal clamping mechanism which are adjacently arranged can carry out wafer handover; and the photographing module is used for photographing the wafer fixed by the internal clamping mechanism. By optimizing layout and automatic circulation, efficient integration and continuous proceeding of wafer edge detection, macroscopic detection and microcosmic detection are achieved, and the detection efficiency and the automation level are remarkably improved.

The invention provides a zero-voltage ride-through control method for a self-synchronizing voltage source doubly-fed wind turbine generator, which comprises the following steps that: when the self-synchronizing voltage source doubly-fed wind turbine generator is in a transient state, a grid-side converter adopts vector control, and a rotor-side converter adopts additional virtual impedance and annular current limiting; the transient overcurrent of the grid-side converter and the rotor-side converter can be effectively suppressed, so that the continuous operation capability of the wind turbine generator in the zero-voltage ride-through period can be maintained; meanwhile, by improving the transient capacity and the transient reactive current amplitude of the converter, the transient voltage supporting capacity of the wind turbine generator during the zero voltage ride-through period can be effectively provided; when the self-synchronizing voltage source doubly-fed wind turbine generator set is in a transient state, overvoltage of direct-current bus voltage is limited by a Chopper circuit, active-priority current amplitude limiting control is adopted by a grid-side converter, parameters of a current inner ring PI controller of a rotor-side converter are optimized, energy balance of a direct-current side can be achieved in the zero-voltage ride-through period, and stability of the direct-current bus voltage is maintained.

The invention relates to a self-adaptive vehicle washing system for an engineering vehicle and a control method. According to the self-adaptive vehicle washing system for the engineering vehicle and the control method, the existence, contour and dirt characteristics of the vehicle are automatically detected through the sensing recognition system, the cleaning logic is autonomously executed in combination with the intelligent control system, vehicle guiding, equipment starting and stopping and washing operation do not need to be manually intervened, the cleaning efficiency is improved, and the working efficiency is improved. And continuous operation requirements of industrial scenes such as metallurgy and mines are met. The spray washing system adopts a top spray head and a lateral spray head which can move longitudinally and transversely to be matched with a fixed chassis spray head, and contours of different vehicles can be accurately covered; according to the method, grating sensing data and an image recognition result are fused through a lightweight convolutional neural network, the vehicle type and the dirt adhesion level are accurately judged, the water pressure, the nozzle angle and the cleaning time are dynamically adjusted, optimal matching of cleaning parameters is achieved, the water consumption and energy consumption are reduced, and meanwhile a cleaning program is continuously optimized through machine learning.

The invention discloses a photovoltaic panel detection device for a photovoltaic power station. The photovoltaic panel detection device comprises a shell, a controller, carrying equipment, a detection mechanism, a pretreatment mechanism and a lifting conveyor, the controller is installed on the front side of the outer surface of the shell. The carrying equipment is arranged on the right side of the top end in the shell. The detection mechanism is arranged in the shell and located below the lifting conveyor. The pretreatment mechanism is arranged on the right side of the exterior of the shell; the lifting conveyor is arranged on the left side of the interior of the shell. According to the photovoltaic panel detection device for the photovoltaic power station, through full-process automatic operation, unmanned continuous operation of unpacking, carrying, detection and output is achieved, the detection time consumption of a single photovoltaic panel is shortened, the batch detection requirement of the large-scale photovoltaic power station is effectively met, physical damage to the surface, the edge and the line of the photovoltaic panel in the unpacking and transferring process is avoided, and the detection efficiency is improved. The multi-dimensional accurate positioning of the photovoltaic panel and the high-precision butt joint of the electrified parts are realized, and the accuracy of line detection is greatly improved.

The invention provides a hydraulic closed-loop tilling depth control system based on multi-sensor fusion in order to solve the problems that traditional tilling depth control is low in precision, poor in stability and the like. The system collects data through an inclination angle sensor, a displacement sensor, a posture sensor and the like, and after fusion processing, a hydraulic cylinder drives a parallel four-bar mechanism to adjust the tilling depth of the subsoiler. The system has three innovations: firstly, a dynamic model is constructed by using multi-source sensor cooperation and sliding mode variable structure control, the anti-interference capability is improved by combining a control strategy, and accurate tilling depth control is dynamically realized according to soil conditions; 2, a parallel four-bar mechanism is mechanically designed to be combined with hydraulic drive, terrain interference is eliminated by utilizing mechanism characteristics, and the control precision and unbalance loading resistance are enhanced; and thirdly, a bidirectional hydraulic lock and a manual-electric dual-mode oil way are adopted for hydraulic pressure, so that reliable tilling depth control and continuous operation are guaranteed. The three innovations are fused, and a high-precision, strong-stability and ultra-reliable tilling depth control solution is provided for saline-alkali soil agriculture.

A hot-swappable battery system for computer peripherals includes a wireless mouse having a battery compartment, a battery connector assembly mounted within the battery compartment, a removable battery configured to be inserted into and ejected from the battery connector assembly, a keep-alive battery mounted within the wireless mouse, and a docking station. The battery connector assembly includes electrical contacts and a push-push ejector mechanism. The keep-alive battery is electrically connected to provide backup power when the removable battery is removed. The docking station has a battery slot configured to receive and charge the removable battery when not in use in the wireless mouse. The system enables continuous operation of the wireless mouse while battery swapping between the mouse and docking station.

The invention discloses an AGC information physical system reliability verification method and system, and relates to the technical field of power dispatching automation. The problems that an existing AGC system only adopts a static operation mode and an ideal communication condition in a simulation test, and coupling response of continuous operation and sudden disturbance of a power grid under a long time scale is difficult to reproduce truly are solved. The state evolution under event driving is realized by constructing three types of simulation event sources of a time sequence operation sample, a master station control instruction and external disturbance and setting a priority mechanism of external disturbance gt, master station instruction gt and time sequence propulsion; an uplink channel fault model is introduced to simulate on-off, delay and errors of measurement data, and a downlink channel fault model is introduced to simulate transmission abnormity of a control instruction; closed-loop simulation of frequency response and electrical quantity updating is realized by combining promotion of a rotor motion equation and dynamic load flow calculation; and finally, by analyzing indexes such as frequency deviation, tie line deviation and control response delay, comprehensive reliability evaluation of the AGC system in a complex information physical environment is completed.

An electronic device includes a device housing configured as a cover for an electrical box, a power adaptor to receive power from components within the electrical box, and an ultra-wideband component powered by the power adaptor. The ultra-wideband component communicates with at least one electronic device to perform an ultra-wideband ranging process. A method involves capturing images of another electronic device within the environment, determining the location of the other electronic device using ultra-wideband ranging, creating a visual depiction of the environment and the device's location, and presenting this depiction on a user interface. The system enhances smart home applications by integrating ultra-wideband technology into light switch and outlet covers, providing precise location tracking and continuous operation without battery replacements.

The invention discloses a control method and system for continuous work of a device and a storage medium. The control method comprises the following steps: receiving a sensor signal, wherein the sensor signal represents the running state of a controlled object; acquiring a preset control logic for controlling the action of the controlled object, wherein the preset control logic comprises a plurality of branch logics for processing sensor signals; and when the sensor signal meets the preset shielding condition, skipping the branch logic related to the sensor signal in the preset control logic, and continuing to execute the remaining branch logic. According to the method, intelligent screening and decision making are carried out on sensor signals through preset shielding conditions, precise recognition and positioning of invalid or valid signals are completed, and the situation that a traditional system is caught in logic deadlock and process due to waiting or responding to the signals is fundamentally avoided; therefore, the controlled object can still maintain the core operation capability when the local function is lost, and the continuity and stability of the production process are guaranteed.

The invention provides a process GPU-oriented real-time fault tolerance and task migration system and method, and relates to the technical field of distributed computation.The method comprises the steps that a training task state in a GPU video memory is captured, difference data is generated through an incremental difference algorithm, and the difference data is stored in a multi-level storage system after being subjected to lightweight compression; meanwhile, GPU node health indexes are collected in real time, node states are analyzed through a time sequence prediction model, and a migration process is triggered when fault risks are predicted or preemption early warning is received; during migration, the task is paused, a final increment check point is generated, check point data is quickly transmitted to a target healthy GPU node through an RDMA network, a complete context state is reconstructed, task execution is recovered, and real-time fault tolerance and seamless migration of the GPU task are achieved. According to the method, the continuous operation reliability and the resource utilization efficiency of the GPU cluster in the long-time training task are improved.

The invention discloses a distributed environment multi-modal intelligent monitoring system, which belongs to the technical field of environment monitoring and comprises a sensing node module, a sensing control module, a communication synchronization module, an acquisition fusion module, a data modeling module, a modal analysis module, a simulation maintenance module, a visual decision module and a safety protection module. According to the method, the time precision of cross-node data transmission and event association is ensured, network self-healing and continuous operation can be maintained when part of nodes fail or communication is interfered, long-term autonomous operation is realized, the maintenance cost is reduced, and a monitoring network can adapt to different working conditions and structure changes.

The invention provides a wind turbine generator performance anomaly detection method and system, and the method comprises the steps: collecting an operation state data set of a wind turbine generator in a continuous operation period, constructing a dynamic energy topological graph which reflects the energy conversion and transmission process of the wind turbine generator based on the operation state data set, and mapping the operation state data set to the dynamic energy topological graph, analyzing and extracting an energy flow feature vector representing the transfer characteristic of energy between the components through a topological structure; calling a pre-constructed historical health state energy flow model to perform dynamic matching processing on the energy flow feature vector, and calculating an energy flow deviation degree between a current energy flow mode and a historical health mode; and according to the energy flow deviation degree and the wind speed environment parameters collected in real time, optimizing an anomaly judgment threshold value, and outputting a wind turbine generator performance anomaly detection result based on the optimized anomaly judgment threshold value. According to the method, the performance anomaly detection of the wind turbine generator can be more accurately and reliably realized.

The application discloses and realizes a dual-mode multi-load loop arc fault detection system, and aims at the problems of insufficient precision of existing real-time arc fault detection devices and high-load continuous operation of equipment, etc., divides the fault arc into two kinds of starting arc and process arc, and uses different modes of detection methods according to different conditions of starting fault and process fault, adopts a characteristic value partition detection method in the process mode, and makes the method tend to be simple under the condition of ensuring accuracy and real-time performance. The method takes an stm32H7 as a core microprocessor, is matched with a conditioning circuit, a power supply circuit, a data acquisition circuit and a wireless communication circuit to form a dual-mode fault diagnosis system. The application has the characteristics of high monitoring precision and high speed, and has strong popularization value and use value.

The invention relates to the technical field of computers, and provides a distributed data support system and method.The system comprises an access layer and a co-processing layer, the access layer comprises a health monitoring module, a fault processing module and a main-standby switching module, and the co-processing layer comprises a data processing module and a data storage module. According to the invention, the health state of the key component is monitored in real time through the health monitoring module, and the main / standby switching process is automatically triggered when the fault processing module detects the fault, so that the main / standby switching module can rapidly drift the virtual address from the main node to the standby node; therefore, the system can be seamlessly switched to the standby node for continuous operation when a fault occurs, the service interruption time caused by the fault is greatly reduced, and the availability of the system is improved. The data is stored in different storage units through the data storage module according to the type and timeliness of the unmanned aerial vehicle data, the advantages of different types of storage units can be brought into full play, the data storage efficiency is improved, and the storage cost is reduced.

The invention relates to the technical field of grinding machines, in particular to a multi-shaft grinding machine and method applied to the intelligent manufacturing equipment industry, the multi-shaft grinding machine comprises a lifting frame, a reversing frame and a transmission system which work independently are arranged on the lifting frame, and a circulation station, a pre-grinding station, a rough grinding station and a fine trimming station are sequentially arranged on the lifting frame in the clockwise direction; and four polishing systems are installed on the reversing frame, each polishing system comprises a vibration frame slidably connected to the reversing frame, and the reversing frame is provided with a vibration system for driving the vibration frame to vibrate up and down in a cyclic variable amplitude mode, a planet carrier rotationally connected to the vibration frame and a polishing shaft rotationally connected into the planet carrier. The full-automatic grinding machine has the beneficial effects that the circulation station, the pre-grinding station, the rough grinding station and the fine trimming station are sequentially arranged on the lifting frame in the clockwise direction, and the four independent grinding systems are arranged on the reversing frame, so that full-process automatic continuous operation of workpieces from circulation, pre-grinding, rough grinding to fine trimming is achieved.

The invention discloses a numerical control machine tool operation fault intelligent diagnosis method based on cloud edge cooperation, particularly relates to the technical field of intelligent operation and maintenance of numerical control equipment, and is used for solving the problem that in a multi-machine-tool and multi-process continuous operation scene, an existing fault monitoring means lacks unified working condition division and structured feature expression, and the fault monitoring efficiency is poor. And edge side real-time risk identification and cloud centralized modeling cooperative closed-loop control are difficult to realize. Fragmentation division is carried out on the operation process of a machine tool at edge nodes based on working condition anchor points, multi-channel operation state quantities are collected in each fragment to construct working condition fingerprints containing fast features and morphological features, and threshold judgment and hierarchical control are carried out in combination with a working condition template library. Therefore, unified fault and sub-health modeling and fine identification are realized under the conditions of multiple machine tools and multiple processes, risk working conditions are intervened online in advance, and the problems of misjudgment, missed judgment and protection lag caused by dependence on single monitoring quantity and empirical threshold values are reduced.

The invention provides a condenser type refrigeration cycle intelligent adaptation control method and system, and relates to the technical field of refrigeration. The method comprises the steps that environment state parameters are obtained, the environment frost point temperature is calculated, and an altitude correction factor representing the air side heat exchange capacity is calculated; executing boundary contraction transformation on a preset compressor operation envelope based on the altitude correction factor, and determining an allowable condensing pressure upper limit; an evaporator temperature response sequence is monitored, the time domain integral cumulant of the temperature response sequence relative to the environment frost point temperature is calculated, and the allowable evaporation temperature lower limit is dynamically increased based on the cumulant; constructing a target operation domain according to the allowable condensation pressure upper limit and the allowable evaporation temperature lower limit; and determining a current operation working point, and adjusting the control variable to enable the operation working point to fall into the target operation domain. The safety of the condensation side and the frost prevention stability of the evaporation side can be considered under the high-altitude and complex environment working conditions, and the continuous operation reliability of refrigeration circulation is improved.