45results about How to "Go digital" patented technology

The utility model discloses a kind of test equipment for pneumatic control valve or actuator in the field of pneumatic actuator detection, including valve displacement measuring instrument and control cabinet;Control cabinet is delivered to pneumatic control valve or actuator and measures the pressure of compressed air, valve displacement measuring instrument measures the displacement of pneumatic control valve or actuator;The controller of control cabinet transmits pressure and displacement data to PC host computer by Ethernet, and PC host computer generates the detection report of pneumatic control valve or actuator.The utility model can improve the detection quality and efficiency of pneumatic actuator, improve the production efficiency of pneumatic actuator production enterprise, meet the increasing delivery requirement, solve the problem of low efficiency of factory inspection, stroke etc. rely on visual inspection, realize the digitization and intelligentization of production final inspection.

The utility model discloses a multicore wire stranding machine, including frame, swivel support, rotation axis, drive mechanism and at least two constant tension pay -off device, constant tension pay -off device sets up in swivel support and gives out core wire, drive mechanism drives rotation axis and swivel support rotation, constant tension pay -off device includes frame and sets up in the pay -off reel of frame, pay -off servo motor, gyro wheel, flexible connecting piece, rotation servo motor, tension take -up wheel, displacement detection subassembly and servo controller, and the output of pay -off servo motor is connected with the pivot of pay -off reel, and gyro wheel is linearly movably arranged in the frame, the output shaft of rotation servo motor is connected with tension take -up wheel, and displacement detection subassembly detects the rotation angle of the output shaft of rotation servo motor or detects the displacement of gyro wheel. The utility model can automatically control the tension of the core wire pay -off of stranding machine, makes the tension and line speed of cable keep constant, realizes digitization and intelligent production, effectively improves production efficiency and the quality of cable.

The invention discloses an S-type pitot tube calibration coefficient prediction method based on CFD, and the method is realized through the following steps: S1, carrying out CFD numerical simulation based on parametric modeling, and obtaining a calibration coefficient set of an S-type pitot tube under different installation angle deviations, flow velocity range conditions and environmental parameters; s2, integrating simulation data, and constructing a feature vector data set of the key influence parameters; s3, dividing the data set into a training set and a test set; s3, based on an RBF algorithm, constructing a high-precision nonlinear prediction model by using the training set; and S4, verifying the performance of the model by using the test set, and judging whether the prediction accuracy meets the expectation or not. A CFD simulation technology and a machine learning algorithm are integrated, the problem that a traditional real flow calibration device is limited in capacity and cannot reproduce on-site complex conditions is solved, and a solution is provided for high-precision prediction and correction of calibration coefficients under on-site complex installation conditions and a non-uniform flow field.

The application discloses a kind of wind generating set intelligent joint commissioning test system and test method, test system is by fan processor, hub processor, communication system, data storage and console constitute, system control and detect fan each component sensor data, judge its performance reliability, finally generate result report, store into database, establish fan digital file;Test control system and unit data transmission protocol TCP / IP, control system passes through output operating system instruction, controls unit equipment action and collects sensor data and system data and carries out comparison judgment, finally generates unit test report.The application improves the test efficiency and quality of wind generating set before delivery, guarantees the high efficiency and accuracy of wind generating set delivery test, guarantees the effective authenticity of test record, is favorable to wind power generating set product digitization, is convenient for tracking and management to wind power generating set, so as to be favorable to realizing the production cycle digitization of wind power generating set.

This invention provides an intelligent CNC hydraulic system and control method, including a sensing and monitoring unit comprising a multi-source heterogeneous sensor network deployed at key nodes throughout the system. The invention is rationally designed, using a multi-source heterogeneous sensor network deployed throughout the system to simultaneously collect multi-dimensional operating parameters such as pressure, flow rate, temperature, and vibration. Edge computing is used to complete data preprocessing and fault-sensitive feature extraction. Relying on an SVM-LSTM dual-model fusion fault intelligent diagnosis module and integrating a fault tree FTA analysis submodule, it achieves accurate classification of fault types, rapid location of fault points, and root cause tracing. It also provides early warning of early system faults, significantly improving fault diagnosis accuracy compared to traditional threshold alarm methods. Furthermore, it can identify fault types that traditional methods cannot detect, such as directional valve sticking, predicting fault development trends in advance and effectively preventing equipment damage caused by fault escalation.

The application discloses a kind of based on digital steel coil's full life cycle product carbon footprint calculation method, comprising the following steps: A1: determining the system boundary of carbon footprint in the full life cycle of digital steel coil, and collecting activity data;A2: according to the actual production process and material consumption data of digital steel coil, determine the direct carbon emission source and indirect carbon emission source of each stage;A3: determine and collect the direct carbon emission source factor and indirect carbon emission emission factor in each stage;A4: using the emission factor of direct carbon emission source and the emission factor of indirect carbon emission source, build the carbon emission calculation model of each stage, obtain the partial carbon emission of each stage, and corresponding carbon load type;A5: using the production process path of digital steel coil, the carbon emission of last stage product is transferred to the material input of next stage, and the cumulative carbon emission of each stage product is obtained.The life cycle carbon footprint of digital steel coil is obtained by the carbon emission calculation model of each stage.

The invention relates to the technical field of extrusion production line automatic control, in particular to an extrusion production line self-adaptive control method and system based on real-time meter weight feedback. The method comprises the following steps: monitoring the meter weight of a semi-finished product in real time and obtaining a measured value; comparing the value with a target value to calculate a deviation; calculating a newly set linear velocity through a specific control formula based on the deviation, the current linear velocity and a dynamic adjustment coefficient; and adjusting the linear speed according to the linear speed and forming closed-loop control. The dynamic adjustment coefficient can be adaptively adjusted according to statistical characteristics of a historical error sequence, such as a trend factor and a stability factor, and has a self-learning capability. The system comprises a meter weight measuring device, a controller for executing the method and a speed executing device. According to the invention, the meter weight control is changed from post detection to in-process control, real-time, accurate and self-adaptive speed adjustment is realized, the consistency of product quality is effectively improved, the waste of raw materials is remarkably reduced, and the dependence on artificial experience is reduced.

The invention relates to the field of laser cutting, and particularly provides a laser cutting machine optical path coaxial calibration device and method, and the device comprises a calibration module body which is provided with a mechanical interface consistent with a cutting head nozzle installation interface; the radial polarized light modulation module is fixed in the body and is used for modulating the laser into radial polarized light; the annular polarization sensor array is fixed in the body, is positioned at the downstream of the modulation module and comprises a plurality of polarization sensors which are uniformly distributed along the circumference, the detection surfaces of the sensors are positioned on the inner wall surface of the array and are used for detecting polarization angles in respective directions and outputting signals, and the geometric center of the array represents the theoretical axis position of the nozzle when the calibration module is mounted; and the data processing and display module is in communication connection with each sensor and is used for calculating the offset of the laser beam center relative to the geometric center based on the polarization angle signal and visually outputting the offset. According to the invention, the precision and efficiency of coaxial calibration of the optical path of the laser cutting machine are improved.

The invention discloses an outcrop position positioning method and device based on a digital outcrop model, and the method comprises the steps: collecting outcrop data of a target basin in a research area, and building a digital outcrop database of the target basin; based on the digital outcrop database, establishing a 2.5-dimensional digital outcrop model of the target basin, exporting a corresponding orthoimage based on the 2.5-dimensional digital outcrop model, and generating a 2.5-dimensional outcrop profile image; and activating any link point in the 2.5-dimensional outcrop profile image, calling a three-dimensional digital outcrop model corresponding to the link point through a preset API interface, and positioning a geological outcrop position corresponding to the link point in the three-dimensional digital outcrop model. The geological outcrop position can be accurately positioned, and efficient and accurate acquisition of geological information is realized.

The invention relates to a small four-direction angle adjusting mechanism, belongs to the technical field of laser control and detection, and solves one of the problems that an existing laser emitting device detection device is tedious and complex in operation process, large in equipment size or large in weight, the adjusting precision seriously depends on the hand feeling of an operator, or the detection efficiency is low and the like. The mechanism comprises an orientation driving mechanism, a high-low driving mechanism, a supporting rotating mechanism, a zero position self-checking mechanism and an adaptive assembly, the orientation driving mechanism, the high-low driving mechanism and the supporting rotating mechanism achieve four-direction angle adjustment of the mechanism, and the adaptive assembly rapidly clamps detectors of different sizes. According to the invention, rapid and repeatable fine adjustment of four-direction angles of the optical system of the detector of the laser emitting device can be realized, the structure is compact and portable, the detection efficiency is high, and the adaptability is strong.

The application discloses a dam electric method continuous imaging method of homologous fusion and step optimization, relates to the technical field of dam imaging, and comprises the following steps: calculating an initial reserved electrode number; arranging an initial electrode array, and establishing an electrode array digital file; collecting apparent resistivity and storing; obtaining an effective detection width, dynamically optimizing the reserved electrode number through a blind area risk function; performing unilateral step progressive array continuation detection, updating electrode coordinate numbering and horizontal coordinate information; extracting apparent resistivity data of an overlapping area, calculating an electrical fluctuation coupling factor, performing weighted fusion, diagnosing electrode contact quality and generating a maintenance prompt; performing progressive detection along a dam axis in one direction repeatedly until a detection end point is covered, and constructing a continuous standardized electrical variable data set; and generating a continuous imaging profile through a continuous geoelectric section imaging model. The application can adapt to the engineering requirement of long-distance and high-precision continuous detection of soil embankments, and provides a technical reference for digital upgrading in the geophysical prospecting field.

The application discloses a polishing-etching integrated processing technology for high-finish jade crystal stone material, and the technology comprises the following steps: providing an integrated processing device integrating chemical mechanical polishing and chemical etching functions, and deploying a multi-source sensor online monitoring system; synchronously collecting multi-dimensional parameters such as polishing pressure, torque, temperature, pH value, fluoride ion concentration, acoustic emission signal and online roughness; adopting a random forest algorithm to screen key features, and establishing a surface roughness real-time prediction model based on support vector regression or artificial neural network; the application realizes real-time sensing, accurate prediction and self-adaptive regulation of jade crystal stone polishing-etching integrated processing, the processing efficiency is improved by more than 50%, the surface roughness is less than or equal to 0.01 mu m, the good product rate is greater than or equal to 94%, and the application is suitable for high-finish jade crystal stone material processing in the fields of high-end building decoration, electronic cover plate and precise optical device.

This invention provides a measurement method and device for alignment during spacecraft loading cycles, including the following steps: S1: Initial docking of the launch tube and the spacecraft support device; S2: Measuring the Z-axis deviation between the launch tube guide rail and the support device guide rail; S3: Measuring the Y-axis deviation between the launch tube guide rail and the support device guide rail; S4: Adjusting the Y and Z-axis attitudes of the launch tube; S5: The visual measurement module captures an initial image of the launch tube guide rail end face and extracts key feature points; S6: Mounting the spacecraft onto the support device guide rail; S7: Taking a photograph of the launch tube guide rail end face, extracting key feature points, and comparing the positions of the key feature points with those in the initial photograph, adjusting the Z-axis attitude of the launch tube; S8: Comparing the key feature points captured by the visual measurement module with those in the initial photograph. This application has the effect of improving product quality stability and assembly process reliability, and reducing the probability of risk occurrence.

The application relates to the technical field of metal material surface strengthening, in particular to a self-adaptive laser shock peening method and system based on light path dynamic regulation and real-time monitoring. The method comprises the following steps: preprocessing and constructing a digital twin model, dividing different curvature processing areas and presetting peening parameters; dynamic focusing galvanometer and beam shaper are cooperated to ensure that laser is vertically incident and the spot shape and area are constant; an adjustable nozzle adaptively supplies a constraint layer, an ultrasonic sensor real-timely monitors water film thickness and feeds back adjustment; a high-speed spectrometer and an acoustic sensor collect multiple signals, plasma parameters are inversely deduced to evaluate the shock effect, energy compensation is triggered when an abnormality occurs, and closed-loop control is formed. The system corresponds to three-dimensional scanning, digital twin processing, dynamic beam adjustment, constraint layer supply, quality monitoring module and a control system. The method and system are suitable for complex curved surface workpieces, improve peening uniformity and stability, and are suitable for high-precision peening processing of materials such as titanium alloy.

This invention relates to the field of yield strength calculation technology, and in particular to a method for calculating the yield strength of 42CrMo steel used in engineering machinery. The method involves establishing a dimensionless model through data fitting between the yield strength Y1 and the quenching temperature X1, tempering temperature X2, and the mass percentage of Mn element X3: Y1 = 5479 - 2.81X1 - 4.643X2 + 889X3. This invention can accurately reflect the quantitative relationship between the heat treatment process parameters of 42CrMo steel, especially the tempering temperature and the yield strength, enabling the prediction of yield strength. This allows engineers to accurately predict the final properties of the material when formulating the heat treatment process, and to actively and accurately control the yield strength of the material by adjusting the process parameters.

The application discloses an intelligent carbon metering device and a carbon emission calculation method thereof, and the method comprises the following steps: pre-processing multi-source data; using a deep learning model to identify the working conditions of each device, and simultaneously considering device aging correction to improve identification accuracy; establishing a bottom-up calculation model of carbon emission driven by energy consumption and a top-down calculation model based on emission concentration for concentration inversion; and obtaining the final carbon emission result through adaptive Kalman filtering fusion. The application identifies the device state in real time through AI, dynamically matches the emission factor, and adopts adaptive Kalman filtering to fuse the energy consumption and concentration double models, thereby significantly improving the accuracy and robustness of carbon metering. The method can effectively solve the problems of hysteresis, singleness and error accumulation in the traditional carbon metering method, realize real-time, accurate and traceable carbon emission calculation from the device level to the regional level, and realize the digitization, dynamicization and intelligentization of carbon metering.

The invention provides a body assembly platform device, which comprises an assembly platform body, a bracket and an anti-explosion electric cabinet, and is characterized in that the anti-explosion electric cabinet is mounted in the assembly platform body and is used for accommodating a control system of the body assembly platform; the bracket is connected with a linear guide rail on the assembling platform body through a sliding block and provided with a mechanical connector connected with a rack on the assembling platform body. And the bracket can realize three-degree-of-freedom adjustment of translation along the axis of the product on the linear guide rail, lifting perpendicular to the horizontal plane and rolling around the axis of the product. The control system is adopted for production line scheduling, no person participates in the whole transfer process, information can be integrated to the production line management and control system, digitization and informatization of transfer assembly can be achieved, the working intensity of workers can be greatly relieved, and the assembly speed can be effectively increased.

This invention relates to the field of dental surgery technology and discloses an intelligent dental surgical robot and its control system. The robot includes a main body, a display component, a locking component, a moving component, and a control system. The display component is mounted on the upper part of the robot body, the locking component is installed inside the display component, and the moving component is installed inside the robot body. The control system is built into the control chamber of the robot body and is electrically connected to the display component, locking component, and moving component. It is used to realize motion control of each component, surgical data interaction, equipment status monitoring, and abnormal warning. The display component of this invention uses a slider and an adjustment block to facilitate adjustment of the height of the touch screen according to the needs of medical personnel, improving the comfort of medical personnel of different body types when using the touch screen. Simultaneously, the locking component uses a locking block and a locking slot to facilitate adjustment of the angle of the touch screen while ensuring the stability of the touch screen after angle adjustment.

The invention provides a special-shaped bridge frame contour skeleton line extraction method suitable for an offshore converter station electrical specialty. The method comprises the following steps: S1, obtaining a CAD design file of a target electrical specialty; s2, docking CAD analysis service, extracting a bridge layer polyline, and normalizing coordinates by taking the equipment reference point as an original point; s3, preprocessing the line segment primitives to enclose a polygon; s4, filtering the output polygon in the step S3: calculating a difference value between the area of the polygon and the area of the minimum enclosing rectangle of the polygon, and if the difference value is greater than 1% of the area of the minimum enclosing rectangle, determining that the bridge is a special-shaped bridge; and S5, according to the characteristics of consistency and connectivity of the cross section size of the special-shaped bridge in the electrical professional CAD drawing of the offshore converter station, screening associated components connected with the special-shaped bridge, obtaining the cross section width W through the geometrical relationship, and associating the cross section width W to the corresponding special-shaped bridge. According to the invention, the special-shaped bridge and the contour skeleton line thereof can be automatically identified, the geometrical characteristics of the special-shaped bridge can be accurately described, and the digitalization of the special-shaped bridge can be realized in an auxiliary manner.

This invention relates to the field of welding-related technologies, and in particular to a welding device for processing metal back panels of television sets. The device includes a welding box, a fixed frame, and a welding rack. The fixed frame is fixedly mounted on the top of the welding box, and the welding rack is movably mounted on the bottom of the fixed frame. A pushing welding assembly is installed inside the welding rack, which pushes the welding torch head within the assembly to move horizontally across the back panel surface, forming a continuous welding strip. The tilting lateral assembly of this invention achieves digital and programmable angle adjustment, with high precision and good repeatability, enabling it to perform automated welding of various complex welds such as flat fillet welds and vertical fillet welds. The single-point pressure assembly refines grains and releases thermal stress through mechanical impact, directly intervening in welding deformation and cold cracking hazards. The downward cleaning assembly ensures that every welding is performed on a contaminated surface, fundamentally eliminating welding defects such as porosity and slag inclusions caused by dust and oil.

This utility model discloses a combined synchronous display and controller utilizing AC sampling, including a current sampling circuit and a first voltage sampling circuit connected to the machine side, a second voltage sampling circuit connected to the system side, and a microprocessor. The microprocessor includes a first set of synchronous sampling AD ports and a second set of synchronous sampling AD ports. The current sampling circuit and the first voltage sampling circuit are connected to the first set of synchronous sampling AD ports, the first voltage sampling circuit is connected to the second set of synchronous sampling AD ports, and the second voltage sampling circuit is connected to the second set of synchronous sampling AD ports. By simplifying the number of sampling channels, replacing some hardware circuits with digital calculations performed by the microprocessor, and combining RC filtering with a unified bias reference, the system achieves simplified circuit structure, high sampling accuracy, strong anti-interference capability, accurate synchronization judgment, and effective electrical parameter measurement.

The invention provides a four-level precise breed conservation method and platform for local livestock and poultry, and the method comprises the following steps: collecting newly born or newly introduced samples in a breed conservation population of a target local livestock and poultry variety in each generation, constructing a whole genome genotype database, and constructing a whole genome genotype database of the samples on the premise of maintaining the genetic diversity of the population; genomic breeding values on the concerned phenotypic characters are sequenced, a predetermined proportion of individuals ranked at the last are eliminated or are not reserved for seed use any more, and a four-level seed conservation system and an integrated management platform for dynamically monitoring all data in real time are established. According to the method and the platform, a four-stage breed conservation system and an integrated management platform are constructed, so that real protection, accurate real-time dynamic monitoring, characteristic maintenance and efficient utilization of local livestock and poultry genetic resources are realized.

This invention relates to the fields of microfluidic chip technology and molecular diagnostic technology, and discloses a self-driven digital microfluidic chip and its application in digital recombinase polymerase amplification. The chip comprises two layers: an upper PDMS sheet and a lower glass plate. The lower surface of the upper PDMS sheet is etched with a microfluidic channel structure, including a sample loading port, a droplet reactor array, microchannels, and a pump chamber. The upper and lower layers are thermally bonded to form a sealed flow channel. Based on the gas permeability of PDMS material, this invention achieves self-driven sample introduction and digital dispensing by pre-degassing to create negative pressure, eliminating the need for any external equipment. The chip structure of this invention is rationally designed, with a simple preparation process, low cost, and convenient operation. It can automatically complete sample digitization within 5-10 minutes, supports multi-channel parallel detection, is highly compatible with RPA reaction systems, and can achieve absolute quantitative analysis of target nucleic acids. It has advantages such as high detection sensitivity, accurate quantification, and good repeatability, and has broad application prospects in the field of molecular diagnostics.

The application relates to a steel production cost calculation and sales order decision method and system, wherein the method comprises the following steps: synchronously collecting various data of a steel enterprise to form a multi-source data set; converting the multi-source data set into decision rules for steel production, constructing an optimal process path of steel production and constraint conditions of each process of the optimal process path of steel production based on the decision rules; simultaneously realizing the collaborative optimization of the whole-process cost of steel production and the cost of each process based on the multi-source data set, the optimal process path and the constraint conditions of each process to obtain a cost calculation result of steel production; and outputting a steel production suggestion and a cost report based on the cost calculation result of steel production to provide guidance for sales order. The application can provide effective steel cost calculation and guidance for sales order.

This invention discloses a data management information system for a small food testing laboratory, including a sample information management module, an automated task allocation module, a data storage module, a permission management module, and a human-computer interaction module. The sample information management module is used to input, edit, query, and maintain the entire lifecycle information of test samples in the small food testing laboratory. The automated task allocation module automatically allocates testing tasks to corresponding testing personnel and instruments based on the input sample testing items and the workload of the testing personnel. The data storage module stores sample monitoring information, and the permission management module assigns different data operation permissions and task management permissions according to user roles. The advantages of this invention compared to existing technologies are: it provides a convenient and intelligent task allocation system, method, device, and storage medium for data management in a small food testing laboratory, facilitating data query and management.

This application provides a method, apparatus, and handheld digitization device for object digitization and facial scanning. The method includes acquiring a spectral image of an object under multi-node illumination; acquiring a response function of the spectral image; recovering the reflectance spectrum of the object based on the response function and a reflectance database; acquiring a fine point cloud of the object; and digitizing the object based on the fine point cloud and the recovered reflectance spectrum. This application can quickly recover the true reflectance spectrum and high-resolution three-dimensional shape of an object, thereby creating a realistic digital avatar for application in digital fields such as the metaverse. Based on this, this application can effectively acquire the reflectance spectrum and three-dimensional information of a face for personal facial health monitoring and beauty enhancement.

This invention provides a diagnostic analysis thought chain management method and system based on human-computer interaction. The method responds to the user's diagnostic scenario selection command, calls a preset thought chain template to construct an initial diagnostic analysis thought chain, and displays it through a visual interactive interface. Based on the user's interactive dynamic adjustment of the initial diagnostic analysis thought chain through the visual interactive interface, an adjusted diagnostic analysis thought chain is obtained. This dynamic adjustment includes dynamic editing of thought chain nodes and associating the required data items of the nodes. Professional content is embedded into the adjusted diagnostic analysis thought chain and a pre-built professional knowledge base to obtain an embedded diagnostic analysis thought chain. Based on the embedded diagnostic analysis thought chain and a prompt word rule base, a prompt word sequence is generated through a pre-trained large model, solving the problems of uncontrollable reasoning processes and strong randomness of results in existing technologies for large model applications in professional fields.

The application discloses a laboratory intelligent layout optimization method and system for a multi-energy experiment building, and relates to the technical field of auxiliary layout optimization. The method comprises the following steps: S1, collecting space energy flow data and performing data preprocessing; S2, identifying the pollution source influence intensity in the experiment area, judging the leakage trend and retention tendency, and extracting the energy flow coupling relationship between regions; S3, evaluating the minimum exhaust boundary required by the experiment area, and performing dynamic correction on adjacent regions; S4, mapping the exhaust volume to the fan operating frequency and the end valve opening degree, and optimizing the equipment selection, pipe diameter ratio and end arrangement; S5, constructing a candidate layout generation and integrated evaluation mechanism, screening and obtaining an optimization scheme, and writing back to the BIM model. The problems of gas retention, energy waste and inability to dynamically respond to the operating state under the cross ventilation path due to the difficulty of traditional ventilation design to adapt to the differentiated working conditions of multi-energy regions are solved.

A carbon quota allocation method, an electronic device and a computer readable storage medium belong to the field of carbon quota management, aim to solve the problems of efficiency allocation priority and carbon quota allocation rationality enhancement, and are characterized in that according to the power input and the externally-dispatched power amount of a power transfer-out area, a potential income model of externally-dispatched power is used to allocate the carbon quota. Calculating the output minimum loss proportion of the power transfer-out region when the external power is lacked; calculating the output value of the transferred power according to the minimum output loss proportion of the power transfer-out region when the external power is lacked; calculating the responsibility proportion of the power transfer-out area and the power transfer-in area based on the carbon emission generated by the transfer power according to the carbon emission generated by the transfer power and the output value of the transfer power, and calculating the distribution of the carbon emission generated by the power transfer-out area and the power transfer-in area based on the transfer power according to the responsibility proportion; and calculating the carbon quota of the region according to the carbon emission calculated by the optimal power input and the distribution of the carbon emission generated based on the transfer power.