12results about How to "Achieve fine control" patented technology

The present application relates to the technical field of strain sensor detection calibration, and particularly relates to a sub-micron FBG strain sensor calibration device and a calibration method. In terms of the calibration device, the first guiding clamping mechanism and the second guiding clamping mechanism realize synchronous displacement movement by relying on the guiding action of the first force bearing plate and the second force bearing plate respectively, the micro-displacement required for calibration operation is generated by changing the clamping interval of the first guiding clamping mechanism and the second guiding clamping mechanism, and combining the geometric constraint relationship of the first force bearing plate and the second force bearing plate fixed at a preset angle. During the calibration operation, the displacement detection mechanism collects real clamping interval change data of the first guiding clamping mechanism and the second guiding clamping mechanism in real time, the control mechanism dynamically corrects the output parameters of the micro-displacement driving part according to the real-time displacement feedback signal, realizes the sub-micron high-precision closed-loop control of the calibration displacement, and is beneficial to greatly improving the fitting accuracy of the wavelength parameters and the strain response parameters of the FBG strain sensor.

This invention discloses a method for monitoring the state trends of hydropower units based on two-stage signal decomposition and the IBiLSTM model. The method involves collecting vibration signals from the hydropower units for preprocessing; constructing the ITGCOA optimization algorithm and designing a fitness function; using the ITGCOA optimization algorithm to adaptively optimize the SVMD and BAACMD models, achieving initial decomposition of the preprocessed signal and secondary decomposition of the sub-mode component with the highest center frequency obtained from the initial decomposition; calculating the fuzzy entropy values ​​of the remaining sub-mode components for reconstruction; and fusing the high-frequency feature sub-sequences obtained from the secondary decomposition with the reconstructed feature sub-sequences to construct the input sequence of the prediction model. This input sequence is then used to construct the IBiLSTM prediction model for monitoring the state trends of hydropower units, achieving high-precision prediction. Compared with existing technologies, this invention improves the efficiency and accuracy of hydropower unit state trend prediction, accurately warns of abnormal unit operating conditions, ensures the safe and stable operation of the units, and improves the overall efficiency of the power plant.

The invention belongs to the technical field of fluid mechanics and flow control, and discloses a multi-target intelligent control system and method for hydrodynamic performance of an underwater vehicle, and the system is characterized in that a control target is of an axisymmetric body structure, the tail part of the control target is provided with at least one active blowing jet outlet, and an execution unit is connected with the jet outlet of the control target; the jet flow blowing state is adjusted according to the control instruction output by the control logic module. The sensing unit is arranged on the surface of the tail of the axisymmetric body and used for collecting key parameters reflecting the flow control effect and the energy cost. And the control logic module is used for receiving the flow information output by the sensing unit and carrying out real-time or periodic optimization on the control parameters based on a preset optimization algorithm. And the optimized control parameters are sent to the execution unit by the control logic module, so that the system forms closed-loop operation. According to the technical scheme, collaborative optimization of resistance reduction and blowing energy consumption reduction can be achieved, and the adaptability and overall energy efficiency of the control system to different working conditions are improved.

This utility model discloses a temperature control valve for air compressors, specifically relating to the field of temperature control valve technology. It includes a valve body with a valve cover at the bottom. Multiple bolts are threaded onto the outer side of the valve cover, and spring washers are placed on the outer sides of the bolts. An inlet is located inside the valve cover, a first outlet is located at the top of the valve body, and a second outlet is located on one side of the valve body. A valve core support is installed inside the valve body, along with an adjustment mechanism and a sealing assembly. Compared to existing technologies, this utility model, through its adjustment mechanism, allows the valve core cover to move according to the different temperatures of the temperature bulb. This enables the liquid to automatically adjust its flow direction under different temperature conditions, rationally distributing fluid according to actual temperature requirements, preventing overheating or overcooling of the system, thereby improving the stability and reliability of the entire system.

The present application relates to a kind of selective deoxidation chlorination method of alcohol compound, belong to the technical field of organic synthesis.The method uses the solid chlorinating agent shown in structural formula (I), under the joint action of organic solvent and base, it is reacted under mild conditions at 0-50 ℃, at least one hydroxyl group in alcohol compound can be converted into chlorine atom with high efficiency and high selectivity.The stability of the used chlorinating agent is good, and the safety is high, and it is convenient to store and transport, which overcomes the use limitation of traditional chlorine, sulfonyl chloride and other high-risk reagents.The method is suitable for primary, secondary and tertiary hydroxyl groups, has the advantages of short reaction time, simple operation and wide substrate applicability, and the obtained chlorinated product can be used as an important pharmaceutical and chemical intermediate.The present application effectively solves the problems of existing chlorination method, such as high toxicity, low selectivity and harsh reaction conditions, and has good application prospect.

The invention discloses a digital human generation method and system combining acoustic driving and personality enhancement. The method comprises the following steps: carrying out multi-dimensional perception separation and semantic feature coding on an audio provided by a user by utilizing an autoregressive continuous action generation module based on acoustic driving, and further carrying out linkage generation of multi-modal face and trunk continuous actions through context association coding and decoding; a diffusion generation module based on structure strengthening is utilized to perform diffusion generation of the digital human video according to the generated face and trunk continuous actions, and pixel-by-pixel trajectory tracking and correction are performed to optimize the digital human video quality; and constructing a customized fusion scheme according to a multi-scene feature element set such as user audio, character, habitual language and the like by utilizing a character-based audio and picture style guiding module, and obtaining a digital human video with user characteristics. According to the method, the generation quality and authenticity of the digital human video can be improved from the aspects of semantic-action consistency, digital human image quality and the like.

The utility model discloses a multi-mode numerical control high-temperature wire thermal shrinkage tunnel furnace which comprises a wire conveying device, a thermal drying device and a control module. The control module is used for driving the wire rod conveying device to execute at least one motion mode, and the motion mode comprises constant-speed motion, positioning motion, interval motion and back-and-forth motion; the constant-speed motion realizes continuous and constant-speed conveying of wire rods, and guarantees the stability of a conventional thermal shrinkage process; the positioning movement enables the wire rod to be accurately suspended below the hot drying device, so that local intensified heating is realized; the multiple wires are parked according to preset intervals through interval movement, and accurate positioning is ensured; the reciprocating motion enables the pyrocondensation material of the wire rod to be heated at multiple angles, and heating dead angles are eliminated. The hot air generator is directly in butt joint with the hot air outlet part, heat loss and energy waste in a hot air transmission path can be reduced, the heat conduction efficiency is improved, and hot air acts on a target area more quickly, intensively and stably.

The invention provides a block chain-based big data identity verification and access control method and system. According to the method, the smart contract is deployed in the block chain network, and when a big data platform receives an access request of a user for a distributed data file, a user digital certificate and a resource identifier of the distributed data file are analyzed from the access request; taking the user digital certificate and the resource identifier as input parameters to call an intelligent contract in the block chain network, executing an access control strategy bound with the user identity in the intelligent contract, performing permission judgment on the user digital certificate and the resource identifier to generate an authorization instruction, receiving the authorization instruction through the big data platform, and sending the authorization instruction to the block chain network. And controlling the access state of the distributed data file based on the authorization instruction. According to the technical scheme provided by the invention, the granularity of data protection is improved, the auditing tracking capability of the whole access control process is enhanced, and a solid guarantee is provided for data security in a big data environment.

The application provides a service instance offline method and device, a storage medium and a computer device, which are applied to a service end, and the method comprises the following steps: when a container group shutdown signal of a container platform is received, the running state of a service instance corresponding to the container group shutdown signal is changed, and a new request of the service instance is rejected; semantic analysis is performed on each to-be-processed request which has been received, and according to the semantic analysis result, the execution path of each to-be-processed request is determined; when each to-be-processed request is executed according to the corresponding execution path and is completed, the container platform is notified to complete the offline. Therefore, through semantic analysis and execution path tracking, the service instance can judge the exit condition based on the actual execution progress of each request, so as to realize fine control of the exit opportunity, ensure that all received requests are completely processed, avoid interruption of requests or loss of data caused by early exit, prevent unlimited waiting, and significantly improve the integrity and continuity of request processing.

The invention relates to the technical field of municipal drainage, rain and sewage diversion and water pollution control, in particular to an intelligent intercepting well based on a gear rotating weir gate and an electric flow limiter, which comprises a well body structure, a gear driving rotating weir gate unit, an electric flow limiter unit, a sensing monitoring unit and an intelligent control unit. The intelligent control unit obtains information such as upstream incoming water total amount, rainfall intensity, pollution concentration and downstream liquid level, solves target interception flow, and performs cooperative control according to an opening-flow mapping relation and an angle-diversion capability mapping relation in a sequence of firstly controlling the electric flow limiter unit and then controlling the gear-driven rotary weir gate unit. Therefore, dynamic optimization of closure and diversion is realized, and pollution control, flood drainage safety and system operation reliability are considered.

The utility model discloses a cement strength anti -break testing machine relates to cement performance test field, including equipment main part, equipment main part top one side is provided with the pressure -bending detection mechanism, is provided with the pressurizing mechanism in equipment main part, and the pressurizing mechanism includes elevating support, and the elevating support is rotationally connected with worm wheel, and the elevating support front side is fixed with second motor, and second motor output is fixed with worm, and worm is engaged with worm wheel, and the middle screw thread of worm wheel is connected with elevating stud, and the bottom hinged of equipment main part has pressurizing lever, and two connecting sliding blocks are slidably connected on pressurizing lever, and connecting sliding block is hinged with elevating stud, and another connecting sliding block is connected with pressure -bending detection mechanism. Advantageous effects lie in: second motor drives elevating stud to go up and down through worm and worm wheel, and elevating stud drives force transmission vertical pole to go up through pressurizing lever, and can pressurize cement test block like this, utilizes the big transmission ratio and self -locking characteristic of worm and worm wheel, can fine control pressure and the stability of pressure.

The invention discloses a model prediction control method and system for a totem-pole PFC circuit, and belongs to the technical field of totem-pole PFC circuits, and the method comprises the steps: monitoring the input voltage of an AC power supply, the bus voltage of the totem-pole PFC circuit, and load demand information in real time; determining that the totem-pole PFC circuit works in a boost mode or a voltage-multiplying mode and driving signal distribution logic of each switch tube in the bridge circuit; calculating an optimal modulation ratio based on a model prediction control algorithm according to an error between the target bus voltage and the currently detected bus voltage; generating a first SPWM signal with a corresponding duty ratio and a complementary second SPWM signal according to the optimal modulation ratio; and distributing the first SPWM signal and the second SPWM signal to corresponding switch tubes to realize control of the bus voltage. According to the method, the SPWM duty ratio is dynamically adjusted through model prediction control, and rapid, accurate and stable control over the totem pole PFC bus voltage is achieved.