2047 results about "Production quality" patented technology

The invention relates to the technical field of injection molding quality monitoring, in particular to a real-time monitoring method and system for injection molding production quality. The method comprises the following steps: acquiring a standard pressure curve and a standard temperature curve of each production stage in each injection molding production cycle; calculating the local intensity of each sampling moment; obtaining an abnormal fluctuation coefficient of each sampling moment, and constructing a multi-dimensional coupling dynamic weight of each sampling moment; multiplying the abnormal fluctuation coefficient by the multi-dimensional coupling dynamic weight to obtain a weighted dynamic fluctuation curve; integrating the weighted dynamic fluctuation curve to obtain a form deviation index; and performing anomaly detection on the current production cycle based on the form deviation index. And the monitoring precision of injection molding production is improved.

The invention relates to the technical field of die-casting production and manufacturing of metal parts, in particular to a magnesium alloy die-casting die device. The mold comprises a mold mechanism, the mold mechanism comprises a first mold assembly, a second mold assembly and a feeding mechanism, a plurality of receding openings are formed in the peripheral sides of the first mold assembly and the second mold assembly, liquid pouring gates and cavities are formed in the first mold assembly and the second mold assembly, and the feeding mechanism comprises a feeding barrel and a sprue spreader; when the first mold assembly and the second mold assembly are closed, the mold core is located in the mold cavity; the core pulling assembly comprises a fixing frame connected with the mold core and a driving device connected with the fixing frame; the overflow discharging system comprises an overflow groove, an exhaust channel and an exhaust mechanism; and the pre-jacking mechanism is configured to act on the die-casting metal part during die opening. The technical problems of turbulence air entrapment, shrinkage cavity shrinkage porosity, demolding damage and the like are effectively solved, and the production quality and efficiency of magnesium alloy die-casting parts are improved.

The invention discloses a composite board production quality management and control system, and relates to the technical field of composite board production. The multi-modal sensing fusion module is used for performing weighted fusion on detection data output by the geometric detection unit, the interlayer and defect detection unit and the process parameter detection unit, and dynamically adjusting weights of various data according to the production line speed, the environment temperature and the sensor noise level so as to improve the accuracy of defect identification and process abnormality judgment; and the core algorithm and control logic layer is used for analyzing and processing detection data in the production process of the composite board and outputting a control instruction. The multi-modal sensing fusion module is arranged to carry out centralized processing on data of various types of detection units, so that multi-source information is coordinated and cross-modal data fusion is carried out, the recognition precision of complex defects is improved, and the detection stability is ensured.

The invention provides a vehicle controller flashing and calibration system and method based on order data intelligent matching, and belongs to the technical field of vehicle production and manufacturing, and the system comprises an order docking interface which is used for obtaining and analyzing production order information; the electric control software configuration interface is used for inquiring a configuration information table of the vehicle electric control module; the program data management interface is used for downloading program files; the diagnostic communication adapter interface is used for connecting a diagnostic instrument on a production line, adapting a diagnostic protocol and establishing a diagnostic session; the flashing execution module is used for performing flashing operation on the same kind of controllers in sequence by diagnosing session matching and calling program files; the calibration execution module is used for reading a current parameter value of the controller through the diagnosis session according to the to-be-calibrated parameter identifier, matching and verifying the current parameter value with a target parameter value, and executing parameter writing; and the data tracing and reporting module is used for collecting flashing operation result data. According to the invention, automation of flashing and calibration of the vehicle controller is realized, and the efficiency and the production quality are improved.

The invention discloses a concocted juicy peach production device. The concocted juicy peach production device comprises a supporting piece, a first guiding piece, a restraining groove, a support, a first connecting piece and an assembling piece. The supporting piece provides a bearing foundation for the device, a material conveying mechanism is arranged on a lower station of the supporting piece to achieve automatic honey peach transferring, and a first driving piece on one side of the interior drives a first guiding piece to move through a first cam and a transmission piece to cooperate with a second guiding piece and a bearing piece in a restraining groove in the top of the supporting piece to drive a cleaning box to do left-right reciprocating motion. The water pipe on the support and the sprayers provide cleaning water flow, the visual detection assembly between the sprayers detects impurities on the surfaces of juicy peaches in real time, the net plate in the cleaning box ascends and descends through the linear motion executing mechanism on the first connecting piece, and the flushing mode and the elutriation mode are flexibly switched. The juicy peach cleaning device solves the problems that traditional cleaning is not thorough and low in efficiency, manual intervention is reduced, it is guaranteed that batch cleaning standards are consistent, production quality and efficiency are improved, and the juicy peach cleaning device is suitable for production of various juicy peaches.

The invention relates to the technical field of polyurethane material preparation, in particular to a polyurethane structural adhesive prepolymer online monitoring and quality control method and system.The method comprises the steps that raw material moisture content and feeding quality data are obtained, a raw material feeding threshold value is set, and whether a prepolymerization reaction is conducted or not is judged; collecting temperature data, viscosity data, isocyanate content, pressure data and stirring power data in real time to obtain real-time data flow; inputting the real-time data flow into a preset prepolymerization reaction prediction model for fusion analysis to obtain a reaction prediction result; generating a regulation and control instruction to optimize the prepolymerization reaction; and after the prepolymerization reaction, carrying out quality detection on the polyurethane prepolymer according to a release quality standard, and executing an automatic release decision. According to the invention, the problems of hysteresis quality, dependence on experience and data islanding of production quality control of the polyurethane prepolymer are effectively solved, and full-flow online monitoring and intelligent quality control from raw material feeding judgment to automatic release of product quality are realized.

The embodiment of the invention discloses a numerical control machine tool adjusting method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: collecting initial machine tool data of a numerical control machine tool through an edge gateway; workpieces produced by the numerical control machine tool are detected, and workpiece detection data are obtained; binding the initial machine tool data with the workpiece detection data to obtain workpiece production quality data; based on the standard workpiece data information, performing production quality evaluation on the workpiece production quality data to obtain a dimensional deviation ratio and a cutting stability index; in response to the situation that the size deviation ratio and / or the cutting stability index do not reach the preset standard value, correspondingly machined appliance parameter data are searched in a preset technology knowledge base; converting the appliance parameter data into a machine tool execution instruction; and writing into a control system of the numerical control machine tool to process the workpiece. According to the implementation mode, the numerical control machine tool can adjust the parameters in real time according to the quality of the workpiece, and the machining quality and the yield of the workpiece are improved.

The invention relates to an intelligent analysis method and system for PCBA production data, and relates to the technical field of PCBA data analysis, and the method comprises the steps: collecting real-time production data in a PCBA production process, associating production batches, and forming a real-time production data sequence; constructing a parameter-defect knowledge graph based on historical production data; after a production defect signal is received, taking a production batch as an index, extracting corresponding real-time production data, taking a corresponding defect type node as a starting point for reverse reasoning, and calculating the contribution degree of each upstream node to the defect type node; and positioning a root cause node, determining a key process parameter node in combination with the type, and outputting a process adjustment suggestion. The method solves the problems that traditional PCBA defect analysis depends on experience judgment and lacks causal correlation analysis among different production key elements in production data, so that root cause positioning is fuzzy, the efficiency is low, passive detection is mostly carried out after defects occur, prevention is difficult to carry out in advance, and then the production quality control effect is affected.

The invention discloses an injection molding device for bottle cap production, and relates to the field of injection molding machines, the injection molding device comprises an injection molding machine tool, the injection molding machine tool is provided with a feeding cylinder, a female die and a male die, the feeding cylinder is connected with a feeding pipe, the feeding pipe is connected to the injection molding machine tool, and the injection molding machine tool is provided with a discharge port. It needs to be explained that when the weight of a produced bottle cap does not reach the standard, a material pushing plate pushes materials to be blocked and retracted by a material carrying plate, then an emergency stop switch is driven to make contact with an adapter plate, and the emergency stop switch is triggered by the adapter plate; when plastic remains on the female die or the male die, the wedge-shaped scraping plate is extruded and retracted, then the trigger frame is pulled to move downwards, and the emergency stop switch is triggered, so that the injection molding machine tool is stopped suddenly, and the subsequent production quality of bottle caps is prevented from being influenced; in addition, when the material pushing plate retracts, the linkage lifting frame drives the material blocking head to block the feeding barrel, and the problem that raw materials are wasted due to the fact that continuous feeding is still conducted when injection molding goes wrong is avoided.

The invention relates to the technical field of machine vision detection, in particular to an intelligent production control method of a PCB (Printed Circuit Board). The method comprises the following steps of: shooting a sampling inspection board, extracting characters and fixed through hole characteristics, aligning the characters and the fixed through hole characteristics with a standard character board, mapping a silk-screen layer circuit to the standard board, and calculating the cross density of a character frame and a circuit; dividing the board into an upper area, a middle area and a lower area, screening characters with low cross density in each area as measurement identifiers, and calculating an offset vector and a vector mean value of each area; and then, according to the region weights and the vector mean values, evaluating an overall offset estimated value, if the overall offset estimated value exceeds a threshold value, generating an affine transformation matrix according to the vector mean values of the regions, obtaining continuously changing compensation parameters through smooth interpolation, and according to the affine transformation matrix, performing pre-deformation processing on the original silk-screen graph to generate a corrected silk-screen file to drive printing. According to the invention, automatic detection and intelligent compensation of character local offset are realized, and the printing alignment precision and the production quality are improved.

The invention provides a steel surface defect detection method based on YOLO11n to solve the problem that high precision and small parameter quantity of steel defect detection at present cannot be well balanced. The method comprises the following steps: 1, constructing a WDBB-DSC module, and improving the model performance and efficiency and reducing the parameter quantity through a multi-scale feature fusion and structure re-parameterization technology; secondly, an FFTSPDconv module is constructed, local details of a high-resolution image are reserved through partitioning operation, high-frequency signals and background noise of defects are separated through frequency domain filtering, and the detection rate of tiny targets is increased; thirdly, a VoVGSCSP module is adopted, so that light weight is realized; fourthly, an LADH detection head is constructed, and through dynamic feature fusion and lightweight design, the real-time performance is kept, and the multi-scale defect detection capacity of the model is improved; and 5, constructing a Shape-NWD novel loss function, and improving the detection performance and robustness. Experiments show that the method is outstanding in industrial defect detection performance and wide in application scene, can improve the production quality, improve the detection efficiency and precision, and is beneficial to promoting the development of an industrial detection system.

The invention relates to the technical field of cable production, in particular to a safety early warning method and system for cable production, and the method comprises the steps: responding to the change of environmental parameters at any moment in a cable production process, taking control parameters as particles, taking the sum of production quality and production efficiency as a fitness function, and obtaining a fitness function; obtaining a globally optimal solution by using a particle swarm algorithm; and generating an early warning signal in response to the situation that the variation between the globally optimal solution and the moment control parameter is greater than an allowable variation or the stability of the globally optimal solution is less than a stability threshold. Through the technical scheme of the invention, the optimal control parameter can be quickly found, early warning is realized from two aspects of the variable quantity of the control parameter and the anti-interference capability of the optimal control parameter, and the safety and controllability of the cable production process are ensured.

The invention provides an intelligent marking and analyzing method for steel production quality based on multi-process space-time mapping. The method comprises the following steps: acquiring a time sequence curve of characteristic parameters, material tracking data and material quality data of a target material in each process in production; according to the material tracking data, establishing a mapping model of the processing position, the process processing time and the cross-process processing position; standardized marking is conducted on the machining position and the machining time interval based on the mapping model; extracting corresponding time sequence curve features based on the annotation interval; analyzing the difference between the target material and the reference material based on feature comparison; and generating a diagnosis result according to the analysis result. The technical problems that in the prior art, the process curve feature extraction mode is single, cross-process data are difficult to associate, and the quality problem tracing efficiency is low are solved.

The invention relates to bottle cap visual detection equipment, which relates to the technical field of bottle cap production quality detection and comprises a first detection table and a second detection table. A rotating disc is arranged on the first detection table, two oppositely-arranged containing grooves are formed in the rotating disc and used for vertically clamping bottle caps, and a top visual detector is arranged above the rotating disc. The second detection table is arranged on one side and provided with a conveying belt, a driving roller and a driven roller, the driving roller and the driven roller drive the conveying belt, and side vision detectors are arranged on the two sides of the conveying belt. And the first detection table and the second detection table are respectively provided with a first rejecting piece and a second rejecting piece for rejecting unqualified bottle caps. By arranging the double-station detection table, the top and the side face of the bottle cap are detected and separated, the intermittent conveying and positioning clamping mechanism is matched, multi-angle, high-efficiency and high-stability automatic visual detection and automatic removal of the bottle cap are achieved, and the detection precision and the production line efficiency are effectively improved.

The invention belongs to the technical field of pipe production parameter self-adaptive control, and particularly provides a coal mine polyethylene pipe production process parameter self-adaptive control method and system, and the method mainly comprises the steps: obtaining calibration parameters in a reference environment, and obtaining a reference parameter set; environment disturbance is monitored, the influence of the environment disturbance on the product size is evaluated, and a target online size compensation value is obtained based on the reference parameter set; and compensation parameter calculation is carried out based on the target online size compensation value, the traction speed is adjusted, meanwhile, the cooperative variation of the screw rotating speed is calculated according to the pressure constraint condition of the extrusion equipment, and a cooperative compensation instruction set is obtained. The problems that in the prior art, due to the fact that cooling shaping is affected by environment temperature and humidity fluctuation, the final outer diameter of the pipe is deviated, and batch quality deviation is formed are effectively solved, dynamic response to environment disturbance is achieved, it is guaranteed that the final outer diameter of the pipe is stabilized within the tolerance range, quality defects are reduced, and the production quality stability is improved.

The invention discloses a device capable of flexibly adjusting turning and burying depth and returning amount, which comprises a main frame and further comprises the following modules: a straw treatment module arranged at the front part of the main frame and used for collecting field straws; the straw crushing module is arranged at the position of the middle of the main machine frame and used for crushing straw and conveying the crushed straw; and the straw turning and burying module is arranged at the rear part of the main frame. According to the device capable of flexibly adjusting the turning and burying depth and the field returning amount, through the depth adjusting module, the straw turning and burying depth can be accurately controlled according to the actual conditions of different soil textures, crop root system distribution and the like, and meanwhile the field returning amount is reasonably adjusted; straw can be fully turned and buried into soil, sufficient organic matter is provided for the soil, adverse effects on crop growth caused by too deep or too shallow turning and burying and too large or too small returning amount can be avoided, and the agricultural production quality is effectively improved.

The invention relates to the technical field of pearlescent material production quality traceability, in particular to a pearlescent material production quality safety traceability-oriented data fusion method and a pearlescent material production quality safety traceability-oriented data fusion system. The method comprises the following steps: acquiring data of the whole production process of the pearlescent material, and determining the initial property of the pearlescent material in combination with the operation state of a production workshop; analyzing a dynamic fatigue growth trend based on production equipment operation data, and evaluating an equipment coupling degradation condition in combination with raw material properties; monitoring the dynamic stability of the finished product based on degradation conditions; evaluating the deterioration trend of the finished product and detecting the quality safety risk of the finished product through packaging and transportation simulation; and finally, fusing the quality safety data and the stability data of the finished product, identifying defects of the production process, and completing optimization processing of the data in the whole process to obtain optimized data which can be used for tracing and adjusting the process. According to the invention, the production quality of the pearlescent material is traced, so that the production quality of the pearlescent material is more perfect.

The utility model discloses a slurry preheating device for ferrite material production, which relates to the technical field of ferrite material production and comprises a base, a preheating box is fixedly mounted at the top of the base, a feed port is fixedly connected to the right side of the top of the preheating box, and a discharge port is fixedly connected to the bottom end of the left side of the preheating box. And plugging plates are movably inserted into the feeding opening and the discharging opening correspondingly, a screening unit is arranged in the preheating box and comprises sliding grooves formed in the top ends of the inner walls of the front side and the rear side of the preheating box, and filter sieves are movably inserted into the sliding grooves. The bidirectional motor is arranged, the top output end of the bidirectional motor is used for driving the driving rod to rotate, the driving rod drives the rotating plate to promote the brake rod to rotate along with the driving rod, the brake rod drives the brake sleeve to promote the reciprocating rod to reciprocate left and right, and the reciprocating rod drives the rolling wheel to roll at the top of the filter sieve to roll and crush agglomerates. The slurry production quality is promoted.

The invention provides a fixing clamp device and cutting equipment, and relates to the technical field of cutting equipment, the fixing clamp device comprises a shell and a driving part, the outer surface of a fixing shaft is provided with a limiting surface, the fixing clamp device is provided with a limiting matching surface, and the limiting matching surface and the limiting surface are oppositely arranged. The fixing clamp device is provided with a driving piece. The driving piece drives the fixing shaft to move along the axis of the first opening, so that the limiting face can abut against the limiting matching face in the radial direction of the driving piece. The limiting face and the limiting matching face are arranged in an attached mode, the radial shaking amount between the fixing shaft and the fixing clamp device is eliminated, the situation that due to the fact that radial deviation force exists between the power source and the fixing clamp device in a transmission mode, the moving of the fixing shaft deviates or is eccentrically abraded is avoided, the service life of the fixing clamp device is prolonged, and the reliability of the fixing clamp device is improved. In addition, the radial fit clearance is eliminated through the driving part, the requirement for the assembly precision of the fixing shaft and the fixing clamp device is lowered, and the production quality and production efficiency of the whole cutting equipment are improved.

The invention discloses a flexible manufacturing process planning and execution method applied to a humanoid robot and related equipment, and the method comprises the steps: generating a standardized task description according to the visual element information, operator voice instruction information, work order text information and field state information of a flexible manufacturing production scene, searching in the process knowledge map to obtain an optimal standard process path, and generating a motion track of the humanoid robot; tool updating and station reconstruction are carried out according to the standardized task; and the humanoid robot is driven to execute technological operation according to the motion trail, and the working state of the humanoid robot is adjusted according to technological parameters and quality inspection parameters in the execution process. According to the embodiment of the invention, the method achieves the dynamic process planning and execution of the humanoid robot in a flexible manufacturing scene based on the multi-modal perception and process knowledge map technology, reduces the manual intervention, and improves the production efficiency and quality. The method can be widely applied to the technical field of automatic manufacturing.

The invention belongs to the field of food detection, and mainly relates to a quality detection system for baked food production, which is characterized in that free format requirements such as characters and pictures submitted by customers are converted into structured production instructions through an order analysis module; a cake image is collected through a rotatable camera, a deep learning model is used for image alignment, edge detection, feature point extraction and OCR technologies are comprehensively used, and decoration elements and character areas are accurately positioned; the key points of the real object are geometrically compared with the ideal layout to automatically judge whether the pattern and the text content are correct or not and whether the placement position is accurate or not; finally, all detection results are fed back in real time in a visual mode, and the whole process is associated with order information for data storage, so that full-process automatic quality inspection, early problem interception and production quality tracing from orders to finished products are realized, and high-cost rework caused by appearance errors is effectively reduced.

The invention discloses a self-protection flux-cored wire and a production method thereof. The preparation method of the self-protection flux-cored wire comprises the following steps of S1, material treatment, S2, machining and treatment, S3, quality detection and S4, packaging and transportation. According to the target performance of the welding wire, a powder formula is elaborately designed, and the formula generally comprises a slag former for forming slag, protecting a molten pool, controlling metallurgical reaction of the molten pool and improving welding seam forming, a deoxidizer for removing oxygen and nitrogen in the molten pool and preventing pores and embrittlement, and a gas-making agent for generating protective gas through thermal decomposition, a gas hood is formed at the end of the flux-cored wire to isolate air, alloy elements are added into deposited metal to achieve required chemical components and performance, an arc stabilizer is used for improving arc stability, and a small amount of binder is added sometimes to improve powder fluidity or keep the shape after filling, so that the application range of the flux-cored wire is widened, and the flux-cored wire is suitable for industrial production. And the device is suitable for various working environments, and the production quality of the flux-cored wires is improved.

The invention provides an automobile injection mold forming defect associated data processing method and system, and relates to the technical field of defect prediction.The method comprises the steps that 2, the length of a time window is set, a standardized event item set and a pre-recorded forming defect type are aligned and spliced according to the time window, and a forming defect transaction data set is constructed; and step 3, for the forming defect transaction data set, screening a frequent item set meeting the minimum support degree by counting the occurrence frequency of each event item set in the transaction, and extracting an association rule between a condition event formed by an alarm event item and a material replacement event item and the forming defect based on the weighted support degree and a confidence coefficient threshold value, and forming a defect association rule set. According to the invention, prediction and real-time early warning of the molding defects of the automobile injection mold are realized, and the defect identification accuracy and the production quality management and control efficiency are improved.

The invention discloses a battering ram multi-station online detection system and detection method, and belongs to the technical field of battering ram production detection. The system comprises a single-station basic detection unit, a multi-station traceability linkage core module, an abnormal conduction path analysis module and a self-adaptive threshold optimization module which interact through an industrial Ethernet, and is additionally provided with a key process multi-dimensional reinspection unit, a dynamic interference compensation module and the like. The method is based on the system, and detection is realized through station data acquisition and preprocessing, dynamic interference compensation, comprehensive quality evaluation, quantitative traceability, grading processing, threshold optimization and data storage. The core of the method is that a quality problem root station is accurately positioned through a quantitative model, an abnormal conduction path is traced, a detection threshold value is dynamically optimized in combination with traceability data, a'detection-traceability-optimization 'closed loop is formed, the problems that traditional manual traceability is low in precision, poor in efficiency and disjoint in traceability and detection are solved, the method is adaptive to a flexible production scene, resource waste is reduced, and production efficiency is improved. And the production quality and efficiency of the battering ram are improved.

The utility model relates to the technical field of vibrated fluidized bed dryers, and provides vibrated fluidized bed drying equipment for ammonium sulfate production, which comprises an equipment shell and a fluidized bed, the fluidized bed is arranged in the equipment shell, drying components are arranged on two sides of the equipment shell, and a material distribution component is arranged between the interior of the equipment shell and the fluidized bed. The vibration assembly is arranged outside the equipment shell, the feeding cover is fixed to the top in the equipment shell, a conveying belt is arranged in the equipment shell, and a plurality of scrapers are arranged on the surface of the conveying belt. According to the technical scheme, the problems that in the related technology, when to-be-dried ammonium sulfate is continuously added into the vibrated fluidized bed dryer, the ammonium sulfate is prone to being accumulated on the top of a fluidized bed, materials are accumulated, finally, the ammonium sulfate cannot be evenly heated, water in the ammonium sulfate deviates, and the drying effect and the production quality of the materials are reduced are solved.

This invention discloses a control method for the thermal system of a belt sintering mill based on digital twins, comprising: collecting pellet production process data; correcting and fitting the collected pellet production process data to create a mechanism model for the physicochemical changes during pellet sintering; reducing the mechanism model to a low-order mathematical model, and then, combined with the pellet sintering heat transfer calculation formula, using pellet sintering quality indicators and minimum energy consumption during sintering as constraints, solving for the values ​​of controlled variables at different time points in each process stage of pellet sintering; based on the Urgench equation, solving for the values ​​of controllable variables using the controlled variable values, and sending the controllable variable values ​​to the programmable logic controller (PLC) of the belt sintering mill thermal system, enabling the PLC to automatically control the belt sintering mill thermal system to achieve minimum energy consumption sintering. This invention ensures both pellet production quality and achieves the lowest overall production energy consumption.

The utility model discloses an angle-adjustable bending machine, which relates to the technical field of bending machines and comprises a workbench, an angle adjusting mechanism is arranged at the top end of the workbench, clamping mechanisms are symmetrically arranged at the top end of the angle adjusting mechanism, a bending mechanism is arranged between the two clamping mechanisms, and a pressing mechanism is arranged above the bending mechanism. According to the bending machine, the angle adjusting mechanism, the clamping mechanism, the bending mechanism and the pressing mechanism are arranged in a matched mode, the included angle between the bending plates can be rapidly and accurately changed and observed, the production efficiency and flexibility of the bending machine are improved, meanwhile, springback of a bent workpiece can be avoided, the production quality of the workpiece is guaranteed, and in addition, the production cost is reduced. And the bending plate can be quickly mounted and dismounted, the maintenance process of the bending machine is simplified, and the service life of the bending machine is prolonged.

This invention discloses a novel cup rim measuring instrument, belonging to the field of measuring instrument technology. It aims to solve problems encountered when using conventional calipers to measure the rim of paper cups, such as significant influence from sample molding, substantial human error, insufficient accuracy, and the inability to avoid seam errors. The measuring instrument includes a base, a measuring cup pan, a dial, a steel bar, a calibration block, a turntable, a digital micrometer, an adjusting block, a locking structure, and an elastic reset component. High-precision measurement is achieved by using a flexible steel bar to conform to the cup rim contour, combined with the digital micrometer. A tension spring provides uniform preload, and the locking structure fixes the length of the steel bar. The mating structure between the adjusting block and the measuring head ensures accurate data. This measuring instrument offers precise and stable measurements, is easy to operate, and is suitable for various types of paper cups, especially for paper cup production quality inspection scenarios with high requirements for measurement accuracy and consistency.

This invention belongs to the field of production quality inspection technology for thermal power plant equipment, and relates to a method and system for inspecting the production quality of industrial pipelines and headers in thermal power plants. The invention acquires on-site environmental information and raw point cloud data of the components to be inspected; processes the raw point cloud data to generate a real three-dimensional model that characterizes the actual physical form of the components; compares the real three-dimensional model with a preset design model to identify and quantify the dimensional deviations between the real three-dimensional model and the design model; separates the point cloud data of the inner and outer walls of the pipeline based on the raw point cloud data, and obtains the wall thickness distribution based on the raw point cloud data of the inner and outer walls and the on-site environmental information; and generates an inspection report to evaluate the production quality of the pipelines and headers based on the dimensional deviations and the wall thickness distribution. This improves the accuracy and efficiency of production quality inspection of industrial pipelines and headers, and provides more comprehensive and intuitive inspection results.

A box type guide rail of a hydraulic climbing device of a tower building machine comprises two side plates, a middle plate is arranged between the two side plates, and the middle plate and the side plates are connected in an inserted mode and then fixed in a welding mode to form the box type guide rail. The box-type guide rail aims to solve the technical problem of a box-type guide rail in a hydraulic climbing device of a tower building machine, a traditional box-type guide rail is difficult to weld and form and poor in consistency, an innovative structure that the middle plate and the side plates are welded after being connected in an inserted mode is adopted, the middle plate and the side plates are cut through laser, and matched plugs and insertion holes are designed; wherein a chamfer is arranged at the outer side end of the plug, so that the welding difficulty is successfully reduced, the consistency of each box type rail finished product is ensured, the production quality and efficiency of the box type guide rail are effectively improved, and reliable guarantee is provided for stable operation of a tower building machine.