2889results about How to "Reduce consumption" patented technology

The invention relates to the technical field of multi-agent systems, and discloses a multi-agent and multi-mode alignment interaction method and system for a review scene, and the method comprises the steps: mapping real-time multi-mode data into a local belief vector through a heterogeneous agent cluster, and calculating the spatial divergence to determine a global cognitive entropy; interaction time sequence gating logic based on entropy flow differential is established, and active alignment is triggered when the global cognitive entropy is larger than a convergence threshold value and a first-order derivative is smaller than a damping threshold value; according to the method, through entropy flow differential control and an active semantic disturbance closed loop, decision oscillation of the multi-agent system in the non-cooperative environment is eliminated, and the reliability of the multi-agent system in the non-cooperative environment is improved. Mathematical convergence of the belief state in an adversarial disguise scene is realized, and the system identification precision in a complex interactive game is improved.

The invention provides a dosing control method, system and equipment for a sewage treatment process and a medium, and the method comprises the following steps: obtaining multi-source heterogeneous data, and processing the multi-source heterogeneous data to construct a high-dimensional state vector; inputting the high-dimensional state vector into a drug demand dynamic prediction model to obtain a predicted concentration sequence; obtaining a target control instruction according to the current high-dimensional state vector and the predicted concentration sequence; the target control instruction is issued to a controller of the target dosing pump, and dosing control is carried out through the controller; the method solves the industrial problems of response lag, excessive or insufficient addition, incapability of coping with sudden change of water quality, high operation cost and the like existing in the traditional artificial experience control or simple PID (Proportion Integration Differentiation) control. According to the method, under the rigid constraint of absolutely ensuring that the effluent quality is stable and reaches the standard, the medicament consumption can be reduced to the greatest extent, the operation cost is reduced, the secondary pollution is avoided, and the automation and intelligence level of the operation of the whole sewage treatment system is improved.

The invention provides a lightweight large model operation method based on end-side deployment. The lightweight large model operation method comprises the following steps: acquiring equipment operation data and storing a model file in a mixed precision format according to quantization precision supported by terminal equipment; determining a mixing precision quantification strategy and carrying out strategy analysis on the equipment operation data; a Key-Value cache file obtained through model reasoning in the historical dialogue is reserved; calculating a semantic embedding vector of the second user request, calculating a cosine similarity between the semantic embedding vector and the first V vector, and judging whether the second user request has a similar intention or not according to a calculation result; and if yes, performing incremental reasoning on the second user request by multiplexing the Key-Value cache file. By monitoring the state of the terminal equipment in real time, dynamically adjusting the quantization level, multiplexing the cache data of the semantic related requests and merging batch request reasoning, the effects of balancing the energy consumption and performance of the terminal equipment, reducing repeated calculation and improving the service time of the equipment and the user experience are achieved.

The invention discloses high-purity oxamide with concentrated particle size and spherical morphology, a preparation method of the high-purity oxamide and application of the high-purity oxamide in preparation of a slow-release fertilizer, and belongs to the technical field of oxamide synthesis and application. The method comprises the following steps: mixing an ammonia-alcohol solution and an alcohol ester solution, conveying the mixed solution into a series tubular reactor for reaction, and then conveying the mixed solution into a parallel tubular reactor for reaction after pressure stabilization and flow equalization to obtain a reaction solution containing oxamide; performing flash evaporation on the reaction liquid to obtain flash evaporation liquid and flash evaporation gas, and performing solid-liquid separation on the flash evaporation liquid to obtain solid oxamide and filtrate; and drying the solid oxamide to obtain the oxamide. The method realizes high conversion rate and high purity, and the product has ultrafine particle size distribution. The purity of the prepared oxamide is greater than or equal to 99%, the D50 particle size is concentrated to 50 + / -15 microns, the spherical morphology is uniform, the release is stable, and the oxamide has a very good effect in preparation of long-acting slow-release fertilizers and combustion inhibitors and research on the nitrogen utilization rate.

The invention discloses a fuming furnace smelting process control method and system, a terminal and a readable storage medium. The method comprises the following steps: constructing a normal association relationship among initial multi-source data in a stable operation state of a fuming furnace; collecting current multi-source data of the fuming furnace in a current operation state; identifying association deviation according to the normal association relationship and the current multi-source data; identifying an abnormal state according to the correlation deviation; and according to the abnormal state, the smelting area is finely controlled. According to the control method and system for the smelting process of the fuming furnace, the normal incidence relation among the multi-source data is constructed, the abnormal state can be recognized more accurately, then the smelting area is finely controlled, and therefore the control accuracy of the smelting process can be improved, unnecessary energy consumption and process fluctuation can be reduced, and the smelting process can be controlled more accurately. And meanwhile, local abnormity can be rapidly and effectively eliminated, further deterioration of the local abnormity is prevented, and automatic control over the smelting process of the fuming furnace can be achieved.

The invention discloses an ultra-lightweight low-resolution dark light face enhancement method and system, and belongs to the technical field of computer vision and artificial intelligence, and the method comprises the steps: obtaining a degraded image, and processing the degraded image into a shallow feature map; inputting the shallow feature map into a hierarchical network structure; setting a module group in each level of the encoder and the decoder; only the first Transform module is used for carrying out complete self-attention calculation; the other Transform modules except the first Transform module in the module group execute attention sharing operation; inputting the deep feature map into an image reconstruction module formed by a convolutional layer to generate a residual image; and carrying out pixel-level addition on the residual image and the input degraded image to obtain a recovered clear image. According to the method, the problems of high calculation complexity and information redundancy in the prior art are solved. According to the method, the calculation overhead is remarkably reduced through an attention sharing strategy, and the excellent recovery quality is ensured through wavelet enhancement.

The invention relates to a federated learning-based magnetocardiogram analysis method, device and equipment and a medium, and relates to the technical field of magnetocardiogram analysis, and the method comprises the following steps: aiming at a preset arrhythmia analysis task, configuring a corresponding independent task head on a frozen shared feature backbone network, and caching a corresponding reference logic value; and configuring a corresponding new task head for the new task, and inserting a low-rank adapter module into the frozen shared feature backbone network so as to perform joint optimization on the inserted low-rank adapter module, the new task head and the independent task head, updating parameters of the low-rank adapter module, parameters of the new task head and parameters of the independent task head, according to the method, the limitation of a data island is broken through, data resources of multiple centers are integrated, massive unlabeled data can be fully mined, the model feature extraction capability is improved, the situation that new and old data are used for retraining the model is avoided, and the safety of the federal continuous learning model is improved. And the old category diagnosis capability is ensured.

An intelligent control method, equipment and medium based on a flue gas desulfurization process belong to the technical field of dry and semi-dry desulfurization, solve the problem of how to improve the working condition adaptability of dry and semi-dry desulfurization processes, and comprise the following steps: a feedforward prediction step: based on historical operation data, predicting the theoretical addition amount of a desulfurizer through a feedforward prediction model; a feedback correction step: dynamically correcting the theoretical addition amount of the desulfurizing agent based on the real-time SO2 concentration deviation, obtaining the final addition amount of the final desulfurizing agent, executing the final addition amount, and performing secondary correction according to the execution result; a model iteration step: continuously optimizing the feedforward prediction model based on incremental data generated in a system operation process; according to the method, the deviation mode is analyzed by verifying the outlet SO2 concentration data in real time, secondary correction is executed, correction strategies are customized for various complex working conditions, the working condition adaptability of dry-method and semi-dry-method desulfurization processes is effectively improved, and accurate prediction and real-time control of the SO2 emission concentration are guaranteed.

The invention provides an Internet of Things data acquisition and abnormity early warning method and system, and relates to the technical field of Internet of Things data processing, and the method comprises the steps: constructing a digital twin model for a physical entity at a cloud end, and issuing prediction data to an edge node; acquiring sensor data by an edge computing node at a basic frequency, and computing a residual error between real-time data and predicted data and an information entropy of a residual error sequence; dynamically adjusting the data acquisition frequency of the edge node based on a two-dimensional decision space formed by the residual error and the information entropy; and when the residual error and the information entropy both exceed the threshold values, potential abnormity is judged, an edge side abnormity analysis program is triggered, and abnormal event information is uploaded. According to the invention, through cloud edge cooperation and intelligent decision making, the acquisition frequency is reduced in a stationary period, resources are saved, the frequency is improved when an abnormal symptom appears, monitoring is enhanced, and optimal balance between resource consumption and monitoring precision is realized; double criteria are adopted to effectively filter noise interference, and the false alarm rate and the missing report rate are reduced.

The utility model discloses a water-driven self-pressure-relief buried telescopic sprinkling irrigation device, and belongs to the technical field of agricultural irrigation. The water-driven self-pressure-relief buried telescopic sprinkling irrigation device comprises an outer pipe assembly, an inner pipe is arranged in the outer pipe assembly in a sliding mode, the upper end and the lower end of the inner pipe are fixedly provided with a spray head and a sliding base respectively, the sliding base divides the interior of the outer pipe assembly into a first inner cavity and a second inner cavity, and the spray head extends to the exterior of the outer pipe assembly; a self-pressure-relief assembly is arranged in the sliding seat in a sliding mode, and a plurality of connecting holes matched with the self-pressure-relief assembly are formed in the sliding seat. According to the technical scheme, the buried telescopic sprinkling irrigation device can be driven up and down through water resources, and meanwhile, pressure self-relief can be achieved.

The invention provides a tumor medical image classification method of zero sample evolution NAS based on double-index collaborative evaluation, which comprises the following steps: collecting tumor medical image data, and constructing a data set containing a tumor focus image and a normal tissue image; constructing an extended search space based on a cell structure, wherein the search space comprises a basic operation set, the cell structure and a network overall structure; steady-state evolution algorithm parameters are set, and steady-state evolution initialization is carried out to obtain an initial candidate architecture; taking a double-index comprehensive score calculated by the information rate and the FIM stability as a comprehensive index for evaluating the current candidate architecture, updating the candidate architecture through a steady-state evolutionary algorithm based on a dynamic optimization mechanism until the maximum evolutionary algebra is reached, and obtaining an optimal architecture; and training the optimal architecture by using the data set, and carrying out tumor medical image classification by using the trained optimal architecture. According to the method, the dependence on the annotated data is reduced, the consumption of computing resources is reduced, and meanwhile, the diagnosis efficiency and accuracy are improved.

The invention relates to the technical field of waste plastic treatment, in particular to a waste plastic grading carbonization device and a waste plastic treatment method. The waste plastic grading carbonization device comprises a feeding hopper, a crushing device, a grinding device, a screening device, a catalyst self-adaptive proportioning device, a first spiral discharging machine, a first-stage carbonization chamber, a second-stage carbonization chamber, an activation chamber, a second spiral discharging machine, a solid product collecting device, a liquefaction device, a liquefied product collecting device, a cooling water circulating device and a third spiral discharging machine, a material returning bin and a tail gas treatment device. According to the invention, through the collaborative innovation of'grading carbonization 'and'catalyst self-adaptive proportioning device', the problems of incomplete and non-uniform carbonization of the waste plastics, inadequate utilization of gas products and the like in the pyrolysis process of the waste plastics are solved, and an industrial feasible path is provided for chemical recovery of the waste plastics; the device is reasonable in overall structural design and high in treatment energy efficiency, and continuous, sufficient and efficient pyrolysis and high-value conversion of the waste plastics are achieved.

The invention discloses a multi-agent cooperation method, system and device based on shared memory data, and a medium, mainly relates to the technical field of multi-agents, and aims to solve the problem that a traditional reasoning system cannot recognize semantic similarity between requests and cannot sense a context relationship of agent tasks, so that the efficiency is improved. The intelligent agent system is often deployed at multiple nodes, and the cache result cannot be shared across the nodes. Comprising the steps of obtaining an output result and an intermediate result generated by each path node; caching the semantic signature and the output result to a preset result cache layer; caching an intermediate result generated by each path node as context information to a preset context cache layer; and according to a preset time window, detecting inference frequencies of different semantic signatures generated by all the agents, and according to the inference frequencies, adjusting storage time of output results corresponding to the semantic signatures in a preset result cache layer.

The invention relates to the technical field of wastewater treatment, in particular to a multi-stage treatment method and system for lead smelting wastewater. The method comprises the following steps: acquiring water quality data of the multi-source lead-acid storage battery smelting wastewater, and based on the water quality data, analyzing to obtain a battery wastewater multiphase feature set; on the basis, the information of the stabilized intermediate water body is obtained by dynamically adjusting the hydrogen ion concentration, breaking a complexing structure and preferentially separating fluoride; on the basis, the antimony valence state and the antimony concentration are monitored in real time, the oxidizing agent type and the reaction intensity are matched in a self-adaptive mode, oriented efficient conversion of antimony is achieved, and low-antimony pre-sedimentation water outlet information is obtained; on the basis, according to the dynamic proportion of the inlet water hydrogen ion concentration to the lead and antimony ions, a precipitation path control instruction is automatically switched, a purified water body with lead and antimony synchronously and deeply removed is obtained, and a lead smelting wastewater multi-stage treatment log is output. Harmful pollutants in the lead smelting wastewater process are efficiently removed, the method adapts to water quality fluctuation, consumption reduction and cost saving are achieved, compliance treatment of wastewater is achieved, and environment-friendly and economic values are achieved.

The invention relates to the technical field of enterprise motorcade management, in particular to a motorcade dynamic scheduling and energy consumption collaborative optimization method and system based on digital twinning, and the method comprises the steps: building a motorcade digital twinning scheduling cloud platform, and accessing a plurality of motorcade participants cooperatively executing transportation tasks; the method comprises the following steps: carrying out space-time division on a transportation task according to a collaborative scheduling authority, generating and issuing motorcade scheduling blocks, carrying out initial parameter definition on key factors such as vehicle distribution, path planning, load optimization and dynamic road condition response by each participant based on block information, and constructing a plurality of motorcade dynamic scheduling modeling spaces by combining with traversal search of a scheduling parameter library; an improved teaching and learning optimization algorithm module is introduced, a dynamic competition optimization algorithm is embedded to enhance the adaptability, and a motorcade scheduling collaborative optimization algorithm module is formed. Global optimization is carried out in multiple modeling spaces based on the algorithm, an optimal scheduling parameter set is output, and dynamic scheduling and energy consumption collaborative optimization of transportation tasks are achieved.

The invention relates to the technical field of curtain walls, and provides a building energy-saving curtain wall which comprises a curtain wall body, the curtain wall body comprises a frame, outer glass arranged on the frame and inner glass rotationally connected to the frame, a cavity is formed between the outer glass and the inner glass, and an air inlet is formed in the outer glass; the curtain wall body is provided with a filtering assembly, the filtering assembly is used for filtering dust of air entering the cavity from the air inlet, the filtering assembly comprises a gauze element arranged in the cavity, the gauze element is obliquely arranged, the upper end of the gauze element is inclined towards the inner glass, and the lower end of the gauze element is inclined towards the outer glass. The lower end of the gauze element inclines towards the outer glass, and a driving assembly used for driving the gauze element to move in the length direction of the gauze element is arranged on the frame. According to the invention, the position for adsorbing dust before the gauze element is changed, and the retention amount of subsequent dust and the circulation amount of air are improved, so that the filtering effect and the ventilation performance are improved.

The invention belongs to the technical field of oil and gas pipeline safety monitoring and unmanned aerial vehicle image analysis, and discloses a two-stage oil and gas pipeline occupation pressure monitoring method and system based on unmanned aerial vehicle space perception and deep learning fusion, and the method comprises the steps: obtaining image data and space data of a to-be-monitored region, combining the image data and the space data with a DEM, and obtaining a DEM image; realizing projection of geographic coordinates of the pipeline to image pixel coordinates to obtain a plane image of the pipeline; constructing and deploying a lightweight target detection network DRF-YOLOv8n, performing reasoning on a plane image of the pipeline based on the lightweight target detection network DRF-YOLOv8n, outputting a candidate bounding box, and performing screening and key frame judgment; a Promp-guide SAM pixel level segmentation module is used to realize pixel level segmentation of the key frame, and a candidate pixel mask is generated; and judging whether occupation occurs or not through the intersection of the pipeline projection line and the candidate pixel mask, and outputting alarm information with geographic coordinates.

The invention discloses a cuboid and cylinder space collision detection method, which comprises the following steps: based on a preset projection axis set, respectively calculating projection intervals of a cylinder and a cuboid on each projection axis in the preset projection axis set by adopting a projection axis method; if at least one projection axis which enables the projection interval of the cylinder to be not overlapped with the projection interval of the cuboid exists in the preset projection axis set, judging that the cylinder and the cuboid do not collide with each other; and if the projection axis which enables the projection interval of the cylinder to be not overlapped with the projection interval of the cuboid does not exist in the preset projection axis set, judging whether the cylinder collides with the cuboid or not by adopting projection surface convex hull detection. The efficiency and the accuracy of collision detection are effectively considered by comprehensively applying a staged strategy combining rapid projection axis elimination and precise projection surface convex hull judgment.

The present application aims at the problems of excessive consumption of traditional cement limestone resources, excessive energy consumption and high carbon emission, and provides a carbonated hardened low-calcium cement and a preparation and hardening method thereof, which is a hardening method for curing low-calcium cement by CO2 carbonation. The mass percentage composition of cement raw material components is: limestone: 60-70%, sandstone or clay or silica ash: 15-25%, phosphogypsum, fluorogypsum or desulfurization gypsum: 5-25%, component A: 0.5-2%. Component A is composed of the following raw material components in mass percentage: fluorite 0-50%, barium slag: 0-50%, lithium slag 0-50%, wood ash 0-50%, industrial sodium carbonate 0-30%. The composition design of carbonated hardened cement clinker minerals is C2S: 10-90%, C5S2$: 10-90%, C$: 0-5%, C4A3$: 0-10%, etc. In the present application, the limestone required for the cement clinker is lower than that of ordinary Portland cement clinker, the calcination temperature is reduced by 200-350 DEG C than that of ordinary Portland cement clinker, and the energy consumption and carbon emission are significantly lower than those of Portland cement; the low-calcium cement is hardened by CO2 carbonation curing, which can make the cement obtain excellent mechanical properties within 2 hours.

The invention belongs to the technical field of photovoltaic power station power generation, and particularly relates to a single-crystal assembly photovoltaic power station power generation data monitoring and analyzing system, which comprises a multi-modal sensing acquisition and real-time analysis layer, a single-crystal assembly power generation data analysis layer, a single-crystal assembly power generation data analysis layer and a single-crystal assembly power generation data analysis layer, and constructing a component-level multi-physics field coupling model, wherein the model fusion method comprises the following steps: adaptively adjusting the monitoring acquisition frequency of a corresponding region, focusing key data acquisition in a fault incubation period, and keeping the conventional monitoring intensity when the component state is stable. And meanwhile, the cooperative control module for carbon flow monitoring, analysis and energizing generates a precise control instruction based on a dynamic optimization result, so that the problems of one-way open loop and collection strategy stiffness of traditional system monitoring and analysis are solved, the pertinence of fault diagnosis is improved, unnecessary monitoring resource consumption is reduced, and the system monitoring energy efficiency is improved by more than or equal to 40%.

The embodiment of the invention discloses a manufacturing method of a semiconductor structure and the semiconductor structure, and the method comprises the steps: providing a substrate which comprises an NMOS (N-channel Metal Oxide Semiconductor) device region and a PMOS (P-channel Metal Oxide Semiconductor) device region; forming a high dielectric constant dielectric layer covering the NMOS device region and the PMOS device region above the substrate; forming a gate stack structure above the high dielectric constant dielectric layer, wherein the gate stack structure is located in the NMOS device region and the PMOS device region; patterning the high-dielectric-constant dielectric layer to reserve the high-dielectric-constant dielectric layer in the NMOS device region and the high-dielectric-constant dielectric layer covered by the gate stack structure in the PMOS device region; and after isolation side walls are formed on the side walls of the gate stack structure to define boundaries of sigma trenches, forming the sigma trenches between the isolation side walls of the gate stack structure in the PMOS device region by using an etching process by taking the patterned high-dielectric-constant dielectric layer as a mask. According to the embodiment of the invention, the height difference between the pseudo gate of the PMOS device region and the pseudo gate of the NMOS device region is eliminated.

The invention discloses a causal knowledge graph construction and question-answering system based on retrieval enhancement generation and a large language model. The system comprises a multi-source heterogeneous knowledge base construction module, a retrieval enhancement generation module, a named entity recognition and causal triple extraction module and a knowledge fusion reasoning module, according to the method, a high-quality named entity annotation data set and a causal data set are constructed, and normalization and integrity of input knowledge are guaranteed; a mixed retrieval strategy (keyword + vector + sparse embedding) is provided, and the evidence coverage rate and recall precision are improved. Under RAG driving, LLM is combined, two rounds of causal triple extraction are achieved, and the causal relationship coverage degree and the direction judgment confidence degree are improved; a conflict detection and atlas fusion mechanism is designed to ensure the unity and consistency of new and old causal knowledge; a question answering system based on a causal atlas is also established, multi-hop causal reasoning is supported, and answers with controllable credibility and explainable are output.

The application discloses an information distribution method and system based on a geographic fence and unified credit evaluation, and belongs to the technical field of big data processing. A user publishes business event information in a same account, and independently sets a geographic fence and a receiver credit threshold value; the system determines a second user currently located in the geographic fence and having a credit score not lower than the threshold value, and pushes the information; in response to an acceptance operation of the second user, an interaction relationship between the two parties is established; and in response to a mutual evaluation result after the interaction ends, credit scores of the two parties are dynamically adjusted. Through user-defined distribution conditions, platform implementable auditing and mutual evaluation credit systems, the application breaks the double barriers of traditional socialization and algorithm recommendation, realizes directional, efficient and credible distribution of information, and reduces consumption of network resources and server resources caused by invalid information transmission.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The application relates to the field of metal support polishing, in particular to an automatic polishing tool and polishing method for a metal support, the tool comprising a base, a rotating shaft, a motor, clamping members and a conductive wire, the rotating shaft being arranged on the base and capable of rotating relative to the base around a rotating shaft axis parallel to the vertical direction, the rotating shaft axis coinciding with the central axis of the rotating shaft; the two clamping members are sequentially arranged on the rotating shaft along the vertical direction and are relatively fixed with the rotating shaft; the conductive wire is used for clamping between the two clamping members, and in the clamping state, the part of the conductive wire between the two clamping members is arranged in parallel to the rotating shaft and is spaced apart from the rotating shaft in the radial direction of the rotating shaft; the application can reduce the consumption of polishing liquid and reduce the damage to the metal support.

The invention relates to the technical field of batteries, in particular to a battery pole piece, a preparation method of the battery pole piece, a lithium ion battery and an electric vehicle. The battery pole piece comprises a foil and an electrode material layer which are arranged in sequence, the material of the electrode material layer comprises manganese-cobalt-nickel oxide, the chemical general formula of the manganese-cobalt-nickel oxide is MnxCoyNizO, x is equal to 0.2-0.4, y is equal to 0.2-0.4, z is equal to 0.4-0.6, and x + y + z is equal to 1. The invention aims to improve the low-temperature performance of the battery without influencing the performance of the battery in a high-temperature environment.

The application discloses a flexible material clamping handling manipulator. The manipulator comprises a mechanical arm body, a clamping mechanism, a transmission assembly, a limiting assembly and a control unit. The output end of the mechanical arm body is connected with a hollow plate, the hollow plate is provided with a sliding groove and an electric telescopic rod, and at least one group of fixed plate assemblies are arranged on the side of the electric telescopic rod close to the sliding groove. Each group of fixed plate assemblies comprises two symmetrical fixed plates, and a plurality of adsorption machines are arranged on the fixed plates. The bottom of the hollow plate is provided with a frame. The clamping mechanism comprises a box body, one side of the box body is connected with the fixed plate, and the other side is connected with a liquid storage tank. The transmission assembly comprises a sliding block, and the sliding block is in sliding connection with the sliding groove. The limiting assembly comprises an L-shaped connecting rod, one end of the L-shaped connecting rod is connected with the output end of the electric telescopic rod, and the other end penetrates through a through hole and extends into the frame. The control unit is in electric connection with the mechanical arm body and the electric telescopic rod. The application can flexibly clamp irregular materials and reduce surface damage. In addition, the application can clamp materials with different shapes and has high flexibility.

The invention discloses a wireless communication method, device and equipment, and belongs to the field of communication, and the wireless communication method comprises the steps that first equipment measures a first signal to obtain first information; wherein the first information comprises at least one of the following information: arrival angle information of the first signal, first measurement information associated with departure angle information of the first signal, distance information indicating the distance between the first device and the second device, the departure angle information of the first signal, and position information of a target object; and the first device sends the first information to a second device and / or a third device.

The application provides a preparation method of a diphenylfluorene polyether. The method uses diphenylfluorene as a substrate, butylene oxide as an epoxide monomer, toluene as an organic solvent, and under the action of a composite catalyst, reacts at 110-200 DEG C for 2-6 hours to obtain the diphenylfluorene polyether. The composite catalyst is obtained by reacting a porous aromatic skeleton with a bromoalkyl quaternary ammonium salt to obtain a quaternary ammonium salt functionalized porous aromatic skeleton, and finally, a basic catalyst is limitedly encapsulated in the pore channel of the quaternary ammonium salt functionalized porous aromatic skeleton by electrostatic attraction. The catalyst of the method can be recycled and reused, and the yield retention rate is greater than or equal to 92% after the composite catalyst is used for 5 cycles, and the method is suitable for optical display, high-frequency circuit board, semiconductor packaging and other fields.

The invention discloses a micromotor-driven distributed turbulent flow pumpless liquid cooling device for space thermal control. The micromotor-driven distributed turbulent flow pumpless liquid cooling device comprises a pipeline body and an impeller pump, the impeller pump comprises an impeller with the outer diameter being D and capable of actively rotating. When the impeller pump is used for overall heat dissipation of a single small-size electronic element, one impeller pump is arranged in the cooling flow channel at the position 0.5 D-1. 5D away from the upstream of the small-size electronic element; when the impeller pump is used for eliminating the hot spots of the large-size electronic element, one impeller pump is arranged in the cooling flow channel at the position 0.5 D-1. 5D away from the upstream of each hot spot to be eliminated. An external pump is removed, and the impeller pump is arranged in the cooling flow channel, so that on one hand, a cooling working medium is pumped, on the other hand, a turbulent flow effect is achieved on the cooling working medium, a boundary layer is broken, and the heat dissipation effect is improved. In addition, for a large-scale heat dissipation scene, a plurality of impeller pumps can be arranged in the cooling flow channel in an array mode, the impeller pumps can be placed at local hot spots in a targeted mode, targeted heat dissipation is achieved, and the heat dissipation efficiency and uniformity are further improved.