1913results about How to "Reduce manual intervention" patented technology

The invention discloses a device for measuring flowability of explosive modeling powder, which comprises a step-press-loading analogue unit, a timing and weighing unit and a computer control unit, wherein the step-press-loading analogue unit directly and indirectly drives a screw rod which extends into a blanking bin to rotate and perform reciprocating movements along an axial line and drives a pusher dog in the blanking bin to perform the reciprocating movements along an arc section through the combined action of a cylinder and a pneumatic reversal valve so as to ensure that the explosive modeling powder in the blanking bin falls into the timing and weighing unit, and the process more truly imitates an explosive conveying process of an explosive step-press process. The timing and weighing unit transmits a weighing value of the explosive modeling powder which falls in the timing and weighing unit to the computer control unit in real time, and the computer control unit calculates the instantaneous flow speed of the explosive modeling powder of a north side and generates a flow speed-time curve according to sampling data. The device can measure the flowability of the explosive modeling powder so as to provide an objective basis for choosing a proper explosive step-press process for the explosive modeling powder.

The invention belongs to the technical field of knowledge graph construction, and particularly relates to a multi-source heterogeneous data fusion and knowledge graph automatic construction system, which comprises a semantic extraction module for extracting minimum semantic fragments from multi-source data and performing cross-source alignment to generate a symbolized semantic framework; the data purification module converts multi-source data into symbolic predicates according to the framework, filters low-evidence data and outputs a purification set; the ternary generation module inputs the initial triad candidate set into a minimum rule grammar, and extracts entities, relationships and attributes to generate an initial triad candidate set; the disambiguation calibration module generates entity two-hop topological fingerprints based on the candidate set, completes disambiguation alignment and corrects conflicts, and outputs unambiguous structured knowledge; the mapping fusion module fuses the mapping information with the minimum connected ontology, and constructs and verifies an initial mapping knowledge domain; and the incremental updating module processes newly added data, performs incremental merging and maintains consistency, and forms a complete knowledge graph. According to the method, through full-link automatic construction, efficient fusion and high-quality atlas are realized.

The invention discloses an industrial software cloud base intelligent operation and maintenance and fault self-healing method based on digital twinning, and relates to the technical field of digital twinning. According to the method, the hierarchical digital twinborn model is constructed and dynamically updated, and the operation state of the cloud base is accurately mapped and visually displayed in combination with independent visual modules of a physical layer, a logic layer and an application layer; the method comprises the following steps: calibrating a reference value in real time through a dynamic reference library, quickly identifying abnormity of each layer, generating graded early warning, improving abnormity response timeliness, constructing a dynamically updated fault knowledge graph based on historical fault data, integrating a multi-dimensional correlation analysis and confidence coefficient verification mechanism, positioning a unique fault reason, greatly shortening a fault diagnosis period, and improving fault diagnosis efficiency. And a strategy library is constructed based on a fault knowledge graph and historical self-healing cases, simulation verification is carried out on candidate strategies through a digital twin model, the effectiveness of the self-healing strategies is ensured, and then the self-healing strategies are issued and executed, so that intelligent and automatic fault repair is realized, and stable operation of the cloud base is ensured.

The invention discloses a curved surface porous structure modeling simulation method and system for finite element analysis, and belongs to the technical field of mechanical engineering simulation, and the method mainly comprises the steps: carrying out the initial grid division of a target curved surface part, and obtaining a grid node set covering a curved surface; according to a preset hole center coordinate, three closest grid nodes are automatically searched in the grid node set, a local reference plane is established, and the hole axis direction is determined; generating an offset sketch plane in the normal direction of the reference plane, projecting the hole center to the sketch plane, drawing a circular sketch, and executing a stretching and cutting command to form a hole; and circularly executing the operation to realize automatic generation of multiple holes on the curved surface. And finally, the porous structure is subjected to grid division again, so that subsequent operation is facilitated. According to the method, the modeling process is combined with parameterization analysis and an automatic process, the efficiency and stability of porous modeling of the complex curved surface structure are remarkably improved, and a basis is provided for finite element pretreatment of the complex curved surface structure.

The invention relates to the technical field of deep foundation pit monitoring, and discloses a deep foundation pit micro-deformation InSAR remote sensing method and system and a storage medium. The method comprises the following steps: synchronously acquiring data through a ground radar and an InSAR satellite, and obtaining a point target set and an original scattering characteristic sequence; obtaining a net deformation phase sequence without influence through registration residual correction, phase deduction and weighted fusion processing, and carrying out phase consistency quality control and unwrapping processing to obtain an accumulated deformation quantity sequence; constructing a deformation mechanism correlation characteristic matrix based on correlation analysis of the cumulative deformation quantity sequence and radar reflection intensity amplitude attenuation characteristics; and fusing the deformation mechanism correlation feature matrix and the real-time differential interference image group, extracting deformation rate and phase gradient change, and further generating a deep foundation pit local micro-deformation risk early warning index set. According to the invention, the tiny deformation of the surrounding area of the foundation pit can be effectively detected, potential risks are warned in advance, and the safety and monitoring efficiency in the construction process are improved.

The invention discloses an automatic extraction method for semiconductor device model parameters, and the method comprises the steps: obtaining a multi-target response through the key parameters of a semiconductor device model, and constructing and training an agent model to predict a target response mean value and uncertainty parameters; constructing a multi-objective optimization collaborative circulation framework assisted by an agent model; generating a candidate parameter population in key parameters according to a position updating mechanism of a multi-objective optimization algorithm, predicting candidate parameters by using a trained proxy model, selecting the candidate parameters according to a prediction result to carry out real simulation evaluation, adding an obtained real sample into a non-dominated file, and updating the file based on a non-dominated relationship. Adding a training set dynamic updating agent model into the real sample, generating a potential search trajectory, selecting a representative representative Pareto approximate solution from the potential search trajectory, and updating the position of the population and the direction of the next-generation search trajectory according to the representative solution selected from the file; and terminating the circulation, outputting the solution set in the file, and checking.

The invention discloses a reinforcement learning-based casting cleaning process parameter adaptive control method, which comprises the following steps of: constructing a reinforcement learning model for updating casting cleaning process parameters; the method comprises the steps that in the process that a casting cleaning system cleans a casting according to a set control period, key process signals in each control period are sequentially collected, and observation vectors are generated; inputting the obtained observation vector into a reinforcement learning model, and processing the observation vector by the reinforcement learning model to obtain a process parameter adjusting quantity, and the casting cleaning process parameters of the current control period are updated according to the process parameter adjusting quantity to obtain updated casting cleaning process parameters, and the updated casting cleaning process parameters are adopted to control a casting cleaning system of the next control period. According to the casting cleaning process parameter self-adaptive control method based on reinforcement learning, continuous and self-adaptive adjustment of the process parameters can be achieved, and the problem that fixed parameter control is insufficient in adaptability under complex working conditions is solved.

The embodiment of the invention provides a fault positioning method and device based on association rules, equipment and a program product. Relates to the field of energy storage system fault diagnosis. The method comprises the following steps: acquiring a state code, a fault code and an operation parameter of the energy storage thermal management equipment; based on the state code, the fault code and the operation parameter, generating a fault rule base by adopting an association rule mining algorithm; unsupervised clustering analysis is carried out on the operation parameters, and abnormal data deviating from the standard are screened out; fusing the abnormal data with the fault rule base to generate a fault map; and based on the fault map, a fault positioning report of the energy storage thermal management equipment is output, the fault positioning report at least comprises a fault propagation path and a maintenance scheme, and the fault propagation path is a path of a causal relationship between the fault code and the abnormal mode. The method is used for achieving the effect of improving the fault positioning efficiency and accuracy.

The invention discloses an industrial intelligent safety risk early warning and management and control platform, and relates to the technical field of industrial safety monitoring and management and control. The industrial intelligent security risk early warning and management and control platform comprises a full-scene perception layer, a data management layer, an intelligent risk identification layer, a hierarchical management and control layer and a global operation and maintenance layer, and each layer and an edge computing node construct a distributed data interaction network through an industrial Ethernet; the scene sensing layer is used for realizing all-region and all-time security data acquisition of industrial production and comprises a multi-mode sensing terminal array, an equipment protocol adaptation module, a personnel state monitoring unit and an acquisition scheduling module; according to the industrial intelligent safety risk early warning and management and control platform, through a multi-mode terminal array and a dynamic acquisition scheduling mechanism of a full-scene sensing layer, full-area and full-time-period automatic monitoring of industrial production is realized, dependence on manual inspection is thoroughly eliminated, the problems of low manual inspection efficiency and missing inspection of hidden risk points are effectively solved, and the industrial production safety risk early warning and management and control platform is suitable for popularization and application. And the monitoring coverage rate is improved to 100%.

The invention discloses a metadata version control and automatic structure comparison method and system based on incremental snapshot and intelligent decision, and the method comprises the following steps: managing a metadata version through an incremental snapshot model, and enabling the incremental snapshot model to support the complete backtracking of a historical structure through storing changed incremental information and associating with a version chain; carrying out difference analysis on the metadata structure by adopting a hierarchical progressive comparison algorithm; an intelligent DDL decision engine is adopted, and an executable DDL script is generated according to the difference analysis result; in the process of generating the DDL script, metadata consanguinity information is jointly checked so as to carry out change risk assessment. Through collaborative design of all the modules, double benefits of systematic breakthrough and conventional effect enhancement are brought, and the technical effect is directly associated with collaborative design.

The invention relates to the technical field of thread rolling machining, and discloses penetrating rod thread rolling equipment for an automobile air brake, the penetrating rod thread rolling equipment comprises a plurality of sets of thread rolling mechanisms which are sequentially connected in series, and each thread rolling mechanism comprises a feeding assembly, a thread rolling machining assembly, a discharging assembly, a feeding assembly and a detecting assembly; the detection module is used for detecting materials, the discharging module is used for discharging unqualified materials, and qualified materials can enter a thread rolling station; the thread rolling machining assembly is used for conducting thread rolling machining on the materials at the thread rolling station. The hopper in the subsequent thread rolling mechanism is in butt joint with the discharging assembly in the previous thread rolling mechanism. Three sections of threads are machined at a time by splicing the three thread rolling mechanisms, automatic conveying is achieved between the adjacent thread rolling mechanisms, materials do not need to be manually conveyed in sequence, the production efficiency is remarkably improved, and manual intervention is reduced; before entering the thread rolling process, the penetrating rod is subjected to at least one detection, defective products are eliminated, and the production requirements of high-precision parts are met.

An integrated cleaning and liquid supply device and online cleaning method for polyurethane polishing pads are disclosed. The device includes a base, a rotating seat, a swing arm, an independent liquid supply pipeline system and cleaning pipeline, a high-pressure nozzle array, and a positioning sensor assembly. During the polishing stage, polishing liquid is dripped through the liquid supply outlet. During the cleaning stage, the swing arm moves centripetally to a preset position aligned with the center of the polishing pad. The positioning sensor triggers a high-pressure pump, causing pure water to be sprayed as an atomized jet along the diameter of the pad surface through the high-pressure nozzle array. Simultaneously, the polishing pad rotates at a low speed, utilizing the synergistic effect of centrifugal force and high-pressure water flow to thoroughly remove residual contaminants within the micropores of the polyurethane. This invention integrates liquid supply and deep cleaning functions into the same motion mechanism, eliminating the need for machine shutdown or manual intervention. It offers advantages such as non-contact, non-destructive, thorough cleaning, and high automation, extending the life of the polishing pad and improving the stability of the CMP process.

The invention discloses a transformer substation secondary circuit drawing intelligent processing method and system, belongs to the technical field of electric power system digitization, and aims to solve the problems that the missing detection and false detection rate of old fuzzy drawings is high, a deep learning model lacks topological semantic understanding, full-process automation is insufficient, and structural management is lacked in conventional secondary circuit drawing processing. According to the core scheme, the method comprises the steps of segmenting an image through a U-Net network to generate masks, generating a structured topology table in combination with a primitive database, converting the structured topology table into nodes and directed edges with electrical attributes, constructing a queriable graph database integrating version management, rule check and a layout optimization algorithm, and finally generating a standard format drawing. According to the scheme, the primitive recognition and topology analysis precision is improved, deep mapping from images to electrical logic is achieved, full-process automation is achieved, version tracing and rule verification are supported, and standardized drawings are produced.

The invention discloses a credit business management method and device, electronic equipment and a program product, and relates to the technical field of blockchains, and the method comprises the steps: matching a target credit template from a template library according to business parameters in a credit request, carrying out the parameterization filling, and obtaining an intelligent contract draft, broadcasting the smart contract draft to a plurality of role nodes with authority in the alliance chain network, receiving operation results and signature results fed back by the plurality of role nodes, aggregating the multi-party signature results into a threshold signature under the condition that the operation results indicate that the smart contract draft meets a multi-party threshold signature condition, and sending the threshold signature to the alliance chain network. Writing the signed smart contract into a block chain account book, and updating the state of the smart contract to be an effective state; and in response to the credit request, executing a credit business operation associated with the smart contract. According to the invention, the technical problems of time and labor consumption and easy delay in the credit approval process in the prior art are solved.

The invention discloses a drilling pump pressure prediction method based on an artificial neural network, and the method comprises the following steps: S1, data collection; s2, data preprocessing; s3, constructing a neural network model; s4, model training and optimization; and S5, model verification and deployment. According to the method, multi-channel data fusion and time synchronization optimization are innovatively adopted, so that the data quality and consistency are improved; in combination with a deep neural network and a self-adaptive optimization strategy, the precision and generalization ability of pump pressure prediction of the drilling pump are improved; and an online updating mechanism is introduced, so that the model can be dynamically optimized according to real-time data, the defects of low prediction precision, poor adaptability and difficulty in real-time updating of a traditional method are overcome, and an efficient and reliable prediction means is provided for intelligent drilling control.

The invention discloses a method for dynamically constructing a UDF based on a large model. The method comprises the following steps: S1, constructing a multi-dimensional requirement cue word of a user-defined function according to characteristics and use requirements of a target platform; s2, the multi-dimensional requirement cue words are input into a pre-trained large language model for code generation, the large language model is subjected to multi-round iteration based on the multi-dimensional requirement cue words, and an optimal code sequence for achieving the user-defined function is output; s3, code style standardization is carried out on the optimal code sequence, and a compiler or an interpreter and a static analysis tool are respectively called to carry out grammar check and static analysis on the optimal code sequence, and constructing an optimization cue word according to an error log output by the compiler or the interpreter and a static analysis result output by the static analysis tool, and inputting the optimization cue word into the large language model to carry out iterative optimization on the optimal code sequence.

The utility model discloses a steel box girder fine positioning node which comprises a first positioning piece arranged on the right side of the top face of a lower bottom plate of a first steel box girder in the width direction of the steel box girder, a plurality of second positioning pieces parallel to the first positioning piece are arranged on the right side of the first positioning piece, and the second positioning pieces are provided with guide grooves perpendicular to the lower bottom plate of the first steel box girder. The third positioning piece extends in the length direction of the steel box girder and is arranged on the left side of the top face of a lower bottom plate of the second steel box girder, an inverted-Y-shaped bayonet with the depth matched with the height of the first positioning piece is formed in the lower portion of the third positioning piece, and the distance between the inverted-Y-shaped bayonet and the left end face of the second steel box girder is matched with the distance between the first positioning piece and the right end face of the first steel box girder; the height of the first positioning piece is smaller than that of the third positioning piece, and the height of the third positioning piece is smaller than or equal to that of the second positioning piece. According to the utility model, the steel box girder can be accurately positioned, and the assembly efficiency of the steel box girder bridge is improved.

The high-strength three-way welding connection structure for the hydrogen conveying pipeline belongs to the field of three-way welding and comprises a base, two sliding grooves are formed in the upper surface of the base, first motors are fixed to the left side and the right side of the base correspondingly, and output shafts of the first motors penetrate into the sliding grooves and are fixedly connected with first screw rods; vertical frames are in threaded connection with the outer surfaces of the first screws, second motors are fixed to the opposite sides of the two vertical frames, and the opposite ends of output shafts of the two second motors penetrate to the opposite sides of the two vertical frames correspondingly. Supporting is provided from the inner wall of the three-way pipe through the supporting rollers, the transverse pipe positioning mechanism applies clamping force from the outer wall through the clamping blocks, a double-positioning structure of inner supporting and outer clamping is formed, it is ensured that three ports of the three-way pipe are strictly coaxial, and welding deflection is avoided; the clamping force can be automatically adjusted according to the small difference of the pipe diameters of the three-way pipes, the three-way pipes of different specifications can be rapidly matched through linear driving of the sliding frame and the air cylinder, and the universality is remarkably improved.

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

The application discloses a plastic solid waste recycling device and belongs to the technical field of plastic recycling. A fixed mold assembly is fixedly arranged on an equipment table. A movable mold assembly is movably arranged on the equipment table. A linkage member is movably arranged on the equipment table and is provided with a linkage plug on the side facing the movable mold assembly. An outer wall of the side of the fixed mold assembly facing the movable mold assembly is provided with an insertion block. The outer wall of the side of the insertion block facing the movable mold assembly is provided with a locking cavity. The movable mold assembly is axially provided with a penetrating insertion cavity. The insertion block is slidably arranged in the insertion cavity to realize preliminary locking. The linkage plug is slidably arranged in the locking cavity to realize relocking. The multistage locking structure is matched with the integrated sealing design. After the mold is closed, the locking is firm, the melt pressure in the injection molding process is effectively resisted, the problems of loosening and deviation of the mold are avoided, the sealing performance of the butt joint surface of the mold is greatly improved, the overflow and leakage phenomena are completely eliminated, the quality of the plastic product is ensured, and defects such as flash and uneven wall thickness are reduced.

The application discloses a fan shell front and rear hole position positioning method and system based on image recognition, comprising the following steps: S1: collecting a fan shell image through a calibrated binocular camera, and performing stereo correction and illumination invariance enhancement processing to obtain binocular enhanced image data; S2: performing instance segmentation on the binocular enhanced image data based on an instance segmentation neural network to obtain a hole position pixel region set with front and rear semantic labels; S3: performing data-driven hole position coarse matching on the hole position pixel region set through a graph neural network, and constructing a physical constraint rule model to optimize and verify the matching result, and outputting an accurate image matching pair set of the front and rear hole positions; and S4: based on the accurate image matching pair set, constructing a cost function to solve the shell pose and obtain final world coordinates, and realizing the front and rear hole position positioning of the fan shell.

The invention discloses an intelligent temperature control method and system for a high-silica glass fiber production line, and relates to the technical field of high-silica glass fiber production.The intelligent temperature control method comprises the following steps that firstly, temperature sensors arranged at all nodes in a furnace hearth of a smelting furnace collect temperature data in real time, and on the basis of a finite element analysis algorithm, the temperature data are obtained; a regional temperature field model is constructed in combination with temperature data, content data of trace impurities in the raw materials are acquired in real time by adopting online detection equipment, the viscosity change trend of the melt under the current raw materials can be analyzed, the current temperature threshold value is dynamically adjusted according to the viscosity change, and the limitation of a traditional fixed temperature threshold value is broken through; the temperature control can better adapt to real-time fluctuation of trace impurities in raw materials, and proper temperature control can be realized under different raw material conditions, so that the qualified rate of products is effectively improved, the loss rate of the raw materials is reduced, manual intervention is reduced, the timeliness and accuracy of temperature control are improved, and the production cost is reduced. And the production efficiency and the product quality are further improved.

The utility model discloses a kind of plastic accessory automatic polishing mechanism, including workbench, intercept net and threaded rod;The side of workbench is provided with recessed frame, the side of the side of recessed frame is provided with motor A;Intercept net is arranged in the top side of workbench, and the top of workbench is provided with slide rail;The utility model is slid on slide rail by cylinder A to promote moving lug, can accurately move plastic accessory to specified polishing position, cooperate the fixing of plastic mould to plastic accessory, ensure that plastic accessory is stable in position during polishing process;Through the collaborative work of cylinder A, motor A, cylinder B and motor B and the like components, realize a series of operations such as plastic accessory from clamping, polishing component moves to polishing operation and waste cleaning automation, reduce manual intervention;Through dust collector and hopper of workbench bottom formed waste cleaning system, waste generated can be sucked in time during polishing process, avoid waste accumulation.

This invention relates to a navigation method for underwater unmanned vehicles (UUVs), comprising the following steps: acquiring data from multiple sensors and performing spatiotemporal synchronization, feature extraction, and data fusion preprocessing; defining the underwater operating area as a directed graph, with edge weights determined based on terrain complexity, obstacle risk, and water flow influence; based on the directed graph, employing an improved A* algorithm for global path planning and a fast exploratory random tree algorithm for local path planning and dynamic obstacle avoidance; assessing the environmental state considering aquatic environmental parameters, water flow characteristics, and topographic changes; and adjusting the navigation strategy using a deep reinforcement learning algorithm, with the navigation strategy adjustment objective function as the optimization goal, based on the environmental assessment results and the UUV's own state. Compared with existing technologies, this invention offers advantages such as improved navigation accuracy, reliability, and adaptability of underwater UUVs in complex underwater environments.

This utility model discloses a mud crab spawning and hatching device, including a cement pool, which comprises a pool body with a permeable stone slab at the bottom. A hole is opened at the bottom right side of the pool body, and a drain pipe is installed inside the hole. A water supply component includes a water quality sensor located on the left side of the pool body. An air supply component includes a dissolved oxygen sensor located at the front of the pool body. A heating component includes a temperature sensor located at the front of the pool body. A movable component is installed at the top of the pool body, with a polycarbonate panel fixedly connected to its inner side. This utility model, through the structural design of water quality, dissolved oxygen, and temperature sensors, combined with water supply, air supply, and heating systems, can monitor and adjust key environmental parameters in the hatching pool in real time. The water quality sensor, linked to a solenoid valve, intelligently changes water to prevent water quality deterioration. Microporous aeration heads uniformly increase oxygen, ensuring balanced dissolved oxygen distribution. Heating pipes, in conjunction with the temperature sensor, maintain a stable water temperature.

The application provides a robot tool coordinate system calibration device and method. The robot tool coordinate system calibration device comprises a control device configured to be in communication connection with a robot; a laser device, the laser device comprising a laser emitting module and a laser receiving module, both of which are in communication connection with the control device, the laser emitting module being configured to be capable of forming a cross-shaped laser beam, the laser receiving module being capable of receiving the cross-shaped laser beam, two first laser beams forming the cross-shaped laser beam being perpendicular to each other. The technical scheme of the application can solve the problem of low calibration accuracy and efficiency of the calibration mode of the prior art.

The utility model discloses a paper cup framing system, which relates to the technical field of paper cup framing and comprises a paper cup conveying line used for conveying paper cups and a plastic frame conveying device used for conveying plastic frames, an open-close type interceptor is arranged at the tail end of the paper cup conveying line, and protective plates are arranged on the paper cup conveying line corresponding to two sides of the open-close type interceptor. The opening and closing interceptors are matched with protection plates on the two sides of the paper cup conveying line to position the paper cups; a grabbing device is arranged between the paper cup conveying line and the plastic frame conveying device, the grabbing device grabs paper cups on the paper cup conveying line into plastic frames on the plastic frame conveying device, the grabbing device comprises a collaborative robot, and a clamping jaw used for grabbing the paper cups is arranged at the moving end of the collaborative robot. The paper cup conveying line, the grabbing device and the plastic frame conveying device are matched with one another, so that the paper cups can be automatically and tidily placed in the plastic frames in the storage or transportation operation.

The application discloses a leveling device and method for bridge support assembly and belongs to the technical field of bridge support assembly; the leveling device comprises a supporting frame, a conveyor and a pressure applying and leveling assembly; the pressure applying and leveling assembly applies pressure through a leveling oil cylinder, then height adjustment and state detection are realized with the help of the leveling oil cylinder and a distance sensor, and a pressure sensor is arranged between the leveling oil cylinder and a horizontal fixing plate to monitor pressure; manual operation is replaced by mechanical automation, the efficiency of bridge support assembly is remarkably improved, accurate measurement and control are realized through the sensor, human errors are avoided, leveling precision and assembly quality are improved, human cost and labor intensity are reduced, and reliable guarantee is provided for bridge support assembly.

This invention relates to the field of glass production testing technology, specifically disclosing a glass cold bending ultimate failure test device and method. The device includes a worktable and four identical cold bending loading units. Each unit integrates a planar displacement structure with horizontal displacement capability, a liftable and directional adjustable support structure, and a pressure head connected by a ball joint. During testing, the planar displacement structure of each unit is first adjusted to accommodate glass specimens of different sizes. Then, the support structures of three units form an L-shaped support surface, and their pressure heads press against corresponding corner points on the upper part of the specimen to establish stable constraints. Finally, the pressure head of the fourth unit applies a concentrated load to the unconstrained corner points, while automatically monitoring the load and displacement until the specimen fails. This invention, through modular and automated design, achieves high versatility of the device, high testing accuracy, and high operational safety, effectively improving testing efficiency and data reliability.