237results about How to "Ensure coordination" patented technology

The invention discloses an editable condition printing image generation method, and belongs to the field of image generation. The method comprises the following steps: constructing a printing image generation model, and training the model to obtain a generation model with editable conditions; and generating a printing design image meeting the condition requirements by using the model. According to the method, different advanced features of each element of the printed plane image are extracted through downsampling, element and style information in the printed plane image is captured through multi-scale feature extraction and information exchange, then hidden space vectors corresponding to different printed plane image features are analyzed, fusion of specific styles is achieved in the hidden space, and the image quality is improved. And the decoding of the printing design image is realized through the decoder, the decoupling of the element information is realized, the personalized design and diversified requirements can be met, and the expansibility is realized.

The invention relates to the technical field of territorial space planning, in particular to a construction land scale prediction method based on territorial space planning. The method comprises the following steps: acquiring historical construction land data, regional economic index data and control line space data of different regions; performing potential development turning point identification according to historical construction land data and regional economic index data, and performing stage trend analysis to obtain dynamic stage trend data; multi-scene prediction is carried out according to the dynamic stage trend data, so that multi-scene prediction data are obtained, and multiple scenes comprise a reference scene, a transformation scene and an innovation scene; and constructing an industry-land demand sensitivity analysis model according to the regional economic index data and the historical construction land data. According to the method, through development turning point identification and stage trend analysis, the dynamic characteristics of construction land change can be better grasped.

The invention relates to the technical field of artificial intelligence, in particular to a charging pile construction planning method and system based on artificial intelligence. The method comprises the following steps: acquiring existing power infrastructure data and multi-source heterogeneous data, wherein the multi-source heterogeneous data comprises traffic data, geographic data, vehicle data and charging behavior data; performing time sequence feature extraction on the multi-source heterogeneous data, and performing cross-time scale fusion on different data source features by using a preset hierarchical attention network model to obtain factor weight data; and constructing a long-term charging demand prediction model through a sequence-to-sequence model according to the factor weight data and the multi-source heterogeneous data. According to the site selection method based on the risk minimum set coverage problem, initial site selection scheme data is generated by combining multi-objective optimization of the coverage rate, the service radius and the accessibility, and more scientific charging pile layout is achieved.

The invention discloses a reservoir group scheduling interval multi-target optimization method under an uncertain condition, and belongs to the technical field of reservoir optimization scheduling. The method comprises the following steps: firstly, establishing an innovative cascade reservoir group interval multi-target scheduling model; secondly, providing a double-population dynamic coordination interval optimization method for solving the interval multi-target scheduling model, and further obtaining an optimal scheduling scheme of the reservoir group; and finally, outputting an optimal scheduling scheme set of the reservoir group. According to the optimization method, through organic combination of a chaos-order mapping initialization strategy, a dynamic adaptive mutual promotion updating strategy and an elite guidance optimization strategy, optimization is rapidly and efficiently carried out to obtain a group of reliable and accurate scheduling scheme sets considering runoff uncertainty; an effective decision-making technical means for solving the cascade reservoir group optimization multi-target complex engineering problem is provided for a scheduling decision maker, the intelligent level and comprehensive benefits of water resource management are improved, and the capacity of a water resource system for coping with complex environments and uncertain factors is further enhanced.

The embodiment of the invention provides a character animation generation method and device based on voice driving, equipment and a medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: acquiring an audio signal input by a user, a target human portrait picture and a target scene reference video; encoding the audio signal to obtain an audio code; generating a three-dimensional face model motion coefficient according to the portrait picture of the target person and the audio code; extracting blink information and head posture information from the target scene reference video; correcting the motion coefficient of the three-dimensional face model according to the blinking information and the head posture information to obtain a corrected motion coefficient of the three-dimensional face model; and taking a three-dimensional deformable head model as a potential vector, mapping the three-dimensional deformable head model to the corrected three-dimensional face model motion coefficient frame by frame, converting the three-dimensional face model motion coefficient into a video frame, and generating a head speech video of the target person. According to the embodiment of the invention, the quality and reality of character animation generation driven by voice can be improved.

The invention relates to the technical field of unmanned aerial vehicle control, and provides a cluster unmanned aerial vehicle control method based on a cloud side-end architecture, which comprises the following steps of: determining a general task framework, a global edge node and a local edge node through a cloud platform, and dividing an operation area into a plurality of sub-areas; a general task framework is divided into sub-task modules corresponding to sub-regions through global edge nodes, and the sub-task modules are refined through local edge nodes to obtain a to-be-executed instruction, so that hierarchical cooperative control of a terminal unmanned aerial vehicle is realized, a single-point bottleneck of centralized control is broken through, and centralized processing of data is avoided; edge computing nodes are dynamically adjusted to prevent node abnormity from influencing task proceeding, then terminal unmanned aerial vehicles in a sub-region range are dynamically and locally scheduled to ensure coordination of task completion, and a terminal unmanned aerial vehicle cluster is dynamically and globally scheduled to realize macroscopic resource allocation of the terminal unmanned aerial vehicles; the terminal unmanned aerial vehicle collects and uploads task execution data, and a reliable data basis is provided for scheduling of the terminal unmanned aerial vehicle.

The invention discloses an aircraft pulse type general assembly production line assembly process method, and relates to the technical field of large production line assembly. The aircraft pulse type general assembly production line assembly process method comprises the steps of determining an aircraft general assembly production line assembly task and the required yield, planning the aircraft pulse type production line layout and process, reasonably dividing system assembly process separation surfaces in all stations, designing detailed assembly process flows in all the stations, and measuring and calculating station assembly periods. Establishing an aircraft final assembly pulse type production line, and verifying and improving the aircraft final assembly production line. According to the aircraft pulse type general assembly production line assembly process method, the whole process from task determination to production line verification implementation is systematically planned in detail, the assembly period is shortened by reasonably planning the general assembly production line assembly process flow and resource allocation, the aircraft general assembly efficiency is improved, and double improvement of the production efficiency and the product quality is ensured.

The invention relates to the technical field of data processing and the field of financial science and technology, and discloses an integrated processing method for batch data and streaming data, which comprises the following steps of: acquiring to-be-processed data from a data source, and configuring proper processing logic based on metadata information of the data, and applying the processing logic to a batch processing engine and a stream processing engine using an adaptation layer. Historical batch data is processed through a batch processing engine, real-time streaming data is processed through a streaming processing engine, and the historical batch data and the real-time streaming data generate respective processing results. And then, the two types of results are merged through an adaptation layer to generate a comprehensive data set, so that subsequent unified query and analysis are facilitated. According to the method and the system, integrated processing of batch data and streaming data is realized by establishing a unified framework. Through the adaptation layer, the data processing logic is respectively adapted to the batch processing engine and the stream processing engine for processing the data, so that the independent processing logic of two types of data through the same architecture is realized, and two sets of independent systems do not need to be maintained.

The invention relates to the technical field of equipment control, in particular to a self-adaptive switching method and system of a current transformer. The method comprises the following steps: collecting primary side parameters and secondary side parameters of a current transformer to obtain primary side collection parameters of the current transformer and secondary side collection parameters of the current transformer; performing current transformer state segmentation initialization according to the current transformer primary side acquisition parameters and the current transformer secondary side acquisition parameters so as to generate a current transformer operation state classification result; switching result judgment is conducted on the current transformers according to the current transformer operation state classification result, and when the current transformer operation state classification result is a current transformer critical state section, parallel buffering is conducted on the current transformers, and critical current transformer switching data are generated. According to the invention, through accurate state classification, a dynamic switching mechanism, time sequence optimization and visual display, the switching sensitivity and stability of the current transformer are improved.

The invention discloses a territorial space planning risk assessment method based on multi-dimensional analysis, relates to the technical field of Internet, and aims to obtain and pre-process data from different sources, ensure the consistency and reliability of the data, simulate city expansion, predict future expansion areas and trends, and combine ecological environment data to evaluate the risk of territorial space planning. According to the method, an ecological sensitive area is further marked, necessary space information is provided for subsequent risk assessment, in a multi-dimensional risk assessment model, a comprehensive risk assessment index ZR is obtained by comprehensively considering multiple aspects of biological habitats, ecological connectivity and water resource flow, the possible influence of urban expansion on the ecological environment is comprehensively reflected, and the risk assessment efficiency is improved. Through comparison with a preset risk assessment threshold value Zth, the risk level of urban expansion is effectively assessed, potential ecological crisis is found in time, the model is optimized through continuous verification and assessment, and sustainability of urban expansion and protection of the ecological environment are ensured.

The invention relates to the technical field of refrigeration equipment, and provides a door body device and refrigeration equipment, the door body device comprises a box door, a cabinet door, a driven guide rail mechanism and a sliding door mechanism, the box door is rotationally connected to a box body through a hinge, and the box door is suitable for opening or closing a storage space of the box body; the driven guide rail mechanism is configured to be arranged between the box door and the cabinet door, and the driven guide rail mechanism is used for guiding the cabinet door to move relative to the box door; the sliding door mechanism comprises a traction assembly and a sliding door assembly which are connected, and the traction assembly is configured to drive the sliding door assembly to act in the opening or closing process of the box door so as to drive the cabinet door to move relative to the width direction of the box door. Therefore, when the box door rotates relative to the box body, the sliding door assembly can be driven by the traction assembly to enable the cabinet door to move relative to the box door, and therefore when the refrigeration equipment is placed in a cabinet in an embedded mode, the refrigeration equipment can be placed in the cabinet in an embedded mode under the condition that coordination and attractiveness are ensured and the use experience of a user is not affected. Interference between the cabinet door and the cabinet can be avoided.

The invention discloses an accurate data matching analysis method based on machine learning, and relates to the technical field of data matching, and the method comprises the following specific steps: dividing data to be processed into a plurality of sub-data sets, dividing the size of each sub-data set according to the performance index and data characteristic of a computational node, and obtaining a data set; according to the method, the to-be-processed data is divided into a plurality of sub-data sets through a distributed parallel processing technology, the sub-data sets are distributed to a plurality of computing nodes for parallel processing, each computing node can independently process the sub-data set distributed to the computing node, and therefore the parallelism of computing resources is fully utilized, and the computing efficiency is improved. Compared with the prior art, the method has the advantages that the data processing efficiency and speed are remarkably improved, meanwhile, an optimized synchronization mechanism is adopted, coordination work among the computing nodes is ensured, the processing bottleneck caused by waiting or communication delay is avoided, and the overall processing performance is further improved.

The invention discloses a dance formation self-organization control method based on a robot group. The method comprises the following steps: S1, obtaining dynamic changes of light frequency, color and intensity through a spectrum camera; s2, judging an effective light source and an invalid light source, and removing the invalid light source to form a target light signal; s3, converting the optical signal into a digital signal through a photoelectric converter and a digital signal processor, and extracting the characteristics of the digital signal to form a characteristic instruction; s4, comparing the feature instruction with a predefined action matching database in real time, and outputting a robot action instruction; s5, analyzing the characteristics of the received digital signal, predicting an action instruction at the next moment, and generating the next action instruction in advance; s6, generating a robot action track by using a path planning algorithm; and S7, adopting a distributed control strategy, dynamically adjusting the motion track, and completing dance arrangement. According to the invention, dance arrangement of the robot group is controlled through light, and diversity of dance of the robot group is realized.

The invention relates to the technical field of motor control, in particular to a control method and system for a motor. The method comprises the following steps that a motor main control unit MCU obtains a motor angle parameter by obtaining a corresponding target motor rotating speed set by a receiving user and carrying out angle parameter reverse solution endowing; obtaining a direct axis direction current and a cross axis direction current and carrying out motor load control calculation to obtain a direct axis voltage control quantity and a cross axis voltage control quantity; transmitting the motor angle parameter, the direct axis voltage control quantity and the cross axis voltage control quantity to a space vector pulse width modulation (SVPWM) module and carrying out SVPWM modulation processing to generate a motor rotor control SVPWM waveform; and determining a phase voltage control value applied to each motor winding, carrying out control duty ratio adjustment analysis, and controlling the corresponding rotating speed and direction of each motor at the same time. The operation efficiency and the response speed of the motor can be improved.

The present invention discloses a method for simulating and predicting the spatial pattern of land for coordinated spatial planning and carbon reduction control, and belongs to the technical field of land space planning. The present invention includes collecting data, preprocessing the collected data, and establishing a basic database for optimizing low-carbon land use; combining energy carbon emissions with spatial mapping technology to calculate the annual land use carbon emissions, and using the GM (1,1) model to predict the land use carbon emission coefficient of the target year; based on Markov and linear programming models, combined with natural development trends and land space planning requirements, predict and optimize the quantitative structure of low-carbon land use; using the PLUS model, simulate and predict the land use pattern under different scenarios; evaluate the carbon reduction benefits of the low-carbon land use optimization method of coordinated spatial planning, and propose multi-scale low-carbon decision-making and optimization suggestions. The method of the present invention not only reduces policy risks and problems in actual implementation, but also provides a more accurate and dynamic carbon emission optimization solution.

The present invention relates to the field of automatic design optimization technology, and in particular to an automatic arts and crafts design optimization method based on intelligent data. The method comprises the following steps: obtaining user demand input data; performing part-of-speech analysis on the user demand input data to generate user demand input part-of-speech data; performing sentence segmentation on the user demand input data using the user demand input part-of-speech data to generate user demand input sentences; performing design creative description analysis on the user demand input sentences to obtain a creative description keyword cloud map; obtaining an arts and crafts database; performing an initial arts and crafts map design on the user demand input sentences based on the arts and crafts database to obtain an initial arts and crafts demand map; performing simulated iteration replacement on the initial arts and crafts demand map according to the creative description keyword cloud map to obtain a first arts and crafts demand update map. The present invention improves the intelligence, accuracy and efficiency of arts and crafts design optimization through intelligent data processing and analysis.

The invention relates to the technical field of explosion-proof display screens, in particular to a refreshing method and system for an explosion-proof display screen. The method comprises the following steps of collecting state parameters and basic parameters of the explosion-proof display screen, performing state feature extraction and screen feature analysis to obtain a state feature set, self-luminous characteristic data and a pixel unit group set, performing simulation screen reconstruction on pixel groups based on the self-luminous characteristic data, generating a simulation explosion-proof display screen model, and performing simulation display screen reconstruction on the explosion-proof display screen. Performing regional heat accumulation effect simulation on the simulation model to obtain simulated heat accumulation data, calculating a screen heat accumulation safety threshold value, evaluating a block buffer demand based on the heat accumulation threshold value and the simulated data, generating partition buffer demand data, formulating a buffer refreshing plan according to the data, obtaining a time zone buffer strategy, and updating the time zone buffer strategy. And generating refresh time sequence data by using a time zone buffer strategy, and performing segmented refresh control on the pixel group. According to the invention, a safer and more reliable explosion-proof display screen refreshing method is realized.

The invention relates to the technical field of fuel gas system management, in particular to a fuel gas system comprehensive management method based on a cloud platform, which comprises the following steps of: acquiring data of each node of a high-pressure fuel gas system and a low-pressure fuel gas system in real time through a sensor network of the fuel gas system, and uploading the data to the cloud platform; the collected data of the high-pressure gas system and the low-pressure gas system are classified, stored and managed; carrying out fusion processing on the data of the high-voltage system and the low-voltage system, and identifying relevance and difference; early warning information for a high-voltage system and a low-voltage system is automatically generated; based on the early warning information and the real-time data, the cloud platform automatically or manually intervenes and adjusts operation parameters of the high-pressure system and the low-pressure system through a collaborative scheduling algorithm so as to ensure overall coordination and optimization of the systems, and collaborative scheduling comprises pressure adjustment and flow distribution between the high-pressure system and the low-pressure system. According to the invention, the operation efficiency of the gas system is improved, the energy consumption of the system can be effectively reduced, and the operation cost is reduced.

The invention relates to an intelligent control method and device for a wearable massage instrument, equipment and a medium. The intelligent control method comprises the steps that massage feedback data collected by multiple types of sensors on multiple massage assemblies used for massage and included in the wearable massage instrument are obtained; according to massage feedback data collected by multiple types of sensors on each massage assembly, for each type of sensor on each massage assembly, other types of sensors configured on the massage assembly where the sensor is located are used as attention target sensors. Determining a first target massage parameter of each massage component according to massage feedback data of an attention target sensor which pays attention crosswise on the massage feedback data of the sensor; according to the first target massage parameters of the massage assemblies adjacent to the massage assemblies, the first target massage parameters of the massage assemblies are corrected, and second target massage parameters of the massage assemblies are obtained; and according to the second target massage parameter of each massage assembly, controlling each massage assembly to perform massage.

The invention discloses a bipolar plate with a composite carbon coating, a preparation method, an electrode and a battery, the bipolar plate comprises a substrate layer, a transition layer and a composite functional layer, the substrate layer is a metal layer formed by depositing metal Me on the surface of a substrate; the transition layer is formed on the substrate layer and is a metal Me / C layer; the composite functional layer is formed on the transition layer and is far away from the transition layer and comprises a first GLC layer with internal stress relieving and electron conduction functions, a tetrahedral amorphous carbon ta-C layer with a corrosion ion blocking function and a conductive and hydrophobic second GLC layer which are sequentially arranged. The coating provided by the invention has relatively low contact resistance, good ion corrosion resistance and hydrophobic property, and meets the requirement of long-term service of a fuel cell under a durable working condition.

The invention relates to a four-drum synchronous motorized winch rope winding device, an operation method and a double-rocker arm derrick hoisting device. The four-drum synchronous motorized winch rope winding device comprises synchronous motorized winch equipment and two electric tail rope collecting equipment. The synchronous motorized winching device is provided with a slow gear and a fast gear which can be freely switched, and synchronous winching of four winding drums can be achieved. The electric tail rope collecting equipment is provided with a rope arranging wheel which reciprocates left and right along with left and right winding of the tail rope, so that orderly and tight collection of the tail rope is ensured; meanwhile, a tension detector for detecting the tension of the tail rope is arranged between the wire coil and the winding displacement main shaft, the tension detector is electrically connected with the control system, and the control system can automatically adjust the rotating speed of the tail rope variable-frequency motor according to the real-time tension information fed back by the tension detector and the switching of the slow gear and the fast gear of the winch.

The invention discloses a training method of a deep learning segmentation model. The training method comprises the following steps: acquiring a three-dimensional blood vessel image containing an interested blood vessel segment; processing the three-dimensional blood vessel image through a to-be-trained deep learning segmentation model to obtain a middle membrane segmentation result image and an inner membrane segmentation result image; determining a loss function according to the middle membrane segmentation result label, the inner membrane segmentation result label, the middle membrane segmentation result image and the inner membrane segmentation result image, and performing parameter updating on a to-be-trained deep learning segmentation model to obtain a trained deep learning segmentation model; wherein a middle membrane segmentation device and an inner membrane segmentation device of the deep learning segmentation model adopt a cross attention mechanism to segment the three-dimensional blood vessel image, and a middle membrane segmentation result image and an inner membrane segmentation result image are obtained. According to the method, the intima and the intima of the blood vessel can be accurately segmented. The invention further discloses a training device of the deep learning segmentation model, a blood vessel image segmentation method and device, electronic equipment and a readable storage medium.

The invention relates to the technical field of vision measurement, in particular to an intelligent concrete test piece size measuring device which comprises a shell, a focusing mechanism is mounted on one side in the shell, the shell is adjustably connected with a scanner through the focusing mechanism, a rotating table is mounted on the other side in the shell, and the rotating table is adjustably connected with the scanner through the focusing mechanism. According to the device, the position of a test piece can be corrected before measurement, the test piece can be dynamically limited in the detection process, the measurement deviation is effectively reduced, the test piece can be pre-measured, mechanical measurement and visual measurement are effectively combined, and the measurement accuracy is improved. The double detection of the test piece is realized, the effectiveness of the alignment and focusing work of the scanner is ensured, the measurement precision is greatly improved, the synchronous detection of multiple groups of concrete test pieces can be realized from two levels of machinery and vision, and the measurement precision is ensured while the measurement efficiency is improved.

The utility model provides an advertising board mounting frame, and relates to the technical field of advertising board mounting, the advertising board mounting frame comprises a stand column and a clamping structure, a linkage rod is arranged in the stand column, threaded rods are machined at the two ends of the linkage rod, two gears are arranged at one end of one threaded rod, and a control hand wheel is connected to the top of one gear in an inserted mode; a round rod is machined at one end of one threaded rod, and a prism rod is machined at one end of the other threaded rod. The two clamping structures comprise supporting columns, the exteriors of the two ends of the supporting columns are slidably connected with movable sliding frames, and positioning plates are machined on the surfaces of one sides of the movable sliding frames; according to the technical key points, a control hand wheel is rotated at the bottom of a stand column, two gears are used for controlling a prism rod to rotate, threaded rods machined at the two ends of a linkage rod synchronously rotate, the threaded connection relation between the two threaded rods and two supporting columns is adjusted, and an advertising board can be clamped and fixed; the device is not limited by the height of the advertising board, the height of workers and the length of the stand column, and applicability is high.

The invention provides intelligent three-dimensional planting equipment, and relates to the technical field of agricultural planting, the intelligent three-dimensional planting equipment comprises a tripod main body, and the intelligent three-dimensional planting equipment is also provided with two chains I. The intelligent three-dimensional planting equipment adopts the stable tripod main body, and a tray rack which is obliquely arranged outwards can guarantee sufficient lighting; according to the requirements of different crops, corresponding matrixes can be selected to carry out planting modes such as organic planting, nutrient solution cultivation and water planting, water supplementing modes include spraying, drip irrigation and tide immersion methods, the water supplementing operations can be smoothly completed in the movement process of the equipment, in addition, a light supplementing device, a water planting device, an aeroponic cultivation device and the like can be additionally arranged on the equipment, and the equipment is convenient to use. Compared with traditional agriculture, the device has the advantages that the agricultural modernization planting mode is improved, the occupied area is greatly reduced, land resources are prevented from being wasted, the investment amount is greatly reduced, lighting is uniform, the temperature is uniform, watering is uniform, installation is easy, and harvesting is easy.

The invention relates to the technical field of automobile steer-by-wire, in particular to a control method of a steer-by-wire actuator system, which comprises the following steps that: double systems of a steer-by-wire actuator respectively execute the following steps: identifying whether manual driving exists or not by analyzing the hand power condition of a driver; and identifying whether automatic driving exists or not through the enabling situation of the automatic driving request signal; whether the whole vehicle environment supports driving steering or not is judged by analyzing the validity data of the whole vehicle signal; carrying out exchange synchronization on the manual driving identification result, the automatic driving identification result and the validity data of the whole vehicle signal through dual-system communication to obtain synchronous data; confirming a current whole vehicle driving mode according to the synchronous data; according to the steering-by-wire actuator system, the accuracy and the safety of whole vehicle signal recognition are improved through exchange redundancy recognition of received signals by the steering-by-wire actuator dual system, and the redundancy and the safety of the steering-by-wire actuator system body and driving mode recognition control are improved through exchange redundancy judgment of fault information.

The invention discloses an unmanned aerial vehicle cluster formation fault-tolerant method based on protopigeon chaos adaptive sliding mode control, and the method comprises the steps: 1, carrying out the kinematics modeling of an unmanned aerial vehicle, and determining the initial state of the unmanned aerial vehicle and a formation flight control system of wing aircrafts and lead aircrafts; 2, introducing a virtual reference unmanned aerial vehicle kinetic model, designing a tracking error, obtaining a dynamic tracking error equation, and ensuring the accuracy of a reference model; 3, designing a sliding mode surface function, and obtaining a reduced-order sliding mode kinematics equation by applying an adaptive sliding mode control technology; and the like. The method is easy to implement, the provided chaotic pigeon inspired mechanism can greatly optimize parameters in adaptive control and sliding mode control parameters, the control convergence speed is increased, and a robust solution is provided for solving the difficult problems that an unmanned aerial vehicle with communication faults cannot adapt to a complex environment and the like.

The invention discloses an image splicing method and device based on foreground and background segmentation. The method comprises the following steps: carrying out foreground and background segmentation on two images to be spliced, estimating a 2D rotation matrix between the two images according to angular velocity data acquired by a gyroscope, and estimating a gravity direction according to acceleration data when the two images are shot; preprocessing the images by using a rotation matrix between the two images, dividing the images into grids, and separately splicing the segmented foreground and background; according to requirements, the position of the final foreground in the background is calculated through the relative position of the foreground, fusion and splicing are carried out, and gravity correction can be selectively carried out on the final image. According to the method, the artifact problem occurring in the foreground and background image splicing is reduced, the excessive distortion of the edge is reduced, the dynamic foreground can be removed according to requirements, and the image splicing quality and accuracy are improved.

This utility model relates to the field of automotive parts stamping technology, specifically to an automotive parts stamping positioning mechanism. It includes a base, an upper die base, and a lower die base. A component is disposed between the upper and lower die bases. A mounting frame is provided on the base, and a component-limiting mechanism is disposed within the mounting frame. An adjustment mechanism for adjusting the position of the mounting frame is also provided on the base. The limiting mechanism includes four sets of symmetrically distributed limiting brackets within the mounting frame. Two sets of symmetrically distributed first push rods and two sets of symmetrically distributed second push rods are slidably mounted within the mounting frame. Through the cooperation of the four sets of symmetrically distributed limiting brackets and the linkage push rods, clamping force can be applied synchronously from the four corners of the component, ensuring precise alignment between the material center and the die cavity, avoiding misalignment caused by dimensional tolerances. The transmission structure of the slide, rack, and gear enables the four sets of limiting brackets to move synchronously. Combined with the elastic reset function of the torsion spring, this ensures clamping stability and adapts to material deformation during stamping.

The utility model provides a photocatalyst preparation device, which relates to the technical field of photocatalyst production, and comprises a tank body, a liquid delivery pipe, a feed pipe and a liquid outlet pipe, the top end of the tank body is connected with the liquid delivery pipe and the feed pipe, the top end of the feed pipe is hinged with an end cover, the bottom end of the tank body is communicated with the liquid outlet pipe, and the liquid outlet pipe is connected with the liquid delivery pipe. A stirring mechanism is arranged in the tank body; the stirring shaft can be driven by the motor to rotate in the tank body, the stirring shaft stirs base liquid and crystal powder in the tank body to be mixed through the stirring blades on the outer side of the stirring shaft, and the stirring shaft drives the arc-shaped plate to rotate in the tank body through the support rod. The mixing effect of base liquid and crystal powder in the tank body is better by stirring the base liquid and the crystal powder up and down, the motor drives the homogenizing shaft to rotate in the tank body through the driving gear and the driven gear, and the base liquid is fully scattered into small liquid drops, so that the base liquid is helped to fully wrap the crystal powder to form a photocatalyst solution.