101results about How to "Improve processing accuracy" patented technology

The invention discloses a metal surface defect detection and classification method, system, equipment and medium, and the method comprises the steps: processing images of different defect types through gray normalization, adaptive histogram equalization, a Gabor filter, a maximum entropy algorithm, morphological processing and an improved local binary pattern; carrying out defect position and size calculation on the processed image, and carrying out GUI (Graphical User Interface) measurement page design; the system, the equipment and the medium are used for realizing the metal surface defect detection and classification method. According to the method, the image processing effect is remarkable, the image contrast is improved, the defect boundary identification is enhanced, the accurate segmentation of the image and the detailed optimization of the structure are realized, the image features are accurately extracted, and efficient classification training is supported; the method has the advantages of improving image quality, enhancing defect detection precision and optimizing feature extraction and analysis, and can be widely applied to the field of high-precision image analysis such as metal defect detection, industrial quality control and computer vision.

The utility model relates to the technical field of production equipment of wire or cable overhead installation devices, and particularly discloses an automatic assembly system for a spacer wire clamp. A base in the assembly system comprises a plurality of bearing seats, and the bearing seats are connected with a bearing seat through displacement suites. The displacement suite comprises a driving device and a displacement control device for controlling the displacement amount of the object bearing seat. And the object bearing seat is provided with a limiting external member for fixing the spacer wire clamp. An automatic pin pressing device, an automatic welding device and an automatic polishing device are sequentially arranged along the moving path of the object bearing seat, and the automatic devices and the displacement suite are all connected with a master control device. Parameters such as displacement distance of the object bearing seat and the like are accurately controlled, so that the spacer wire clamp placed on the object bearing seat can be quickly and accurately moved into a processing area of each automatic device, and the processing accuracy of the spacer wire clamp is improved; and meanwhile, it is guaranteed that all the steps are tightly connected, and the machining speed of the spacer wire clamp is increased.

The invention relates to the technical field of clamping equipment, in particular to clamping equipment suitable for machining of refrigeration compressors of different sizes. The clamping equipment comprises a moving plate, a second mounting plate is arranged on the moving plate, a driving assembly is arranged on the second mounting plate, and two clamping arms are symmetrically arranged on the second mounting plate; a plurality of telescopic grooves are evenly formed in the clamping arms, hydraulic telescopic rods are arranged in the telescopic grooves, the top ends of the hydraulic telescopic rods are rotationally connected with ejector rods, and rubber balls are arranged at the top ends of the ejector rods; a containing groove is formed over the telescopic groove, sliding grooves are symmetrically formed in the positions, located at the upper end and the lower end of the containing groove, of the telescopic groove, limiting assemblies are slidably connected into the sliding grooves, the annular air bag is arranged on the limiting assemblies, and clamping grooves matched with the limiting assemblies are formed in the ejector rod. An air pump used for inflating and sucking air into the annular air bags is arranged on the second mounting plate.

The invention discloses adjustable feeding equipment for stainless steel product machining, and relates to the technical field of stainless steel wafer machining, in particular to the adjustable feeding equipment for stainless steel product machining, which comprises a feeding area and a discharging area, the feeding area is positioned at one end of the discharging area, and the discharging area consists of a discharging base and a steering seat; and a driving steering gear and a driven steering gear are rotationally connected to the interior of the discharging base. According to the adjustable feeding equipment for stainless steel product machining, when a set of coiled plates are discharged to be close to the tail end, raw materials can be mounted on the mounting disc on the other side, then horizontal steering is conducted through the steering base, the production preparation time is further shortened, the bracket can easily jack the coiled materials to the proper height to be parallel to the mounting disc through the first hydraulic jacking cylinder, the mounting steps are simplified, and the production efficiency is improved. The height of the feeding area can be adjusted through a second hydraulic jacking cylinder, the feeding area is accurately in butt joint with external stamping equipment, the position of a limiting plate can be adjusted according to the specifications of the plates, and the plates are prevented from deviating in the conveying process.

The invention relates to the technical field of automatic welding of metal furniture, and discloses an automatic welding method for metal furniture. The cutting side faces are flexibly selected to meet different machining requirements, the design flexibility is enhanced, and the machining efficiency and accuracy are improved. A reference side face is set to ensure accurate cutting, errors are reduced, and a solid foundation is laid for welding assembly. Intersected edges are accurately compared, cutting points are positioned, it is ensured that the cutting shape conforms to design, and structural stability is improved. The vertex position is defined, the cutting boundary is defined, a clear cutting path is formed, and the cutting accuracy is improved. The sections of the pipes are spliced and welded after cutting, so that strong connection is realized, and the structural integrity and bearing capacity are enhanced. Tangent plane coincidence is ensured, the welding quality is improved, and the connection firmness is enhanced. And measuring and adjusting after welding to ensure that the product quality reaches the standard. The process not only improves the production efficiency, but also ensures the accuracy, stability and high quality of the product.

The invention relates to the technical field of image analysis, in particular to a breast cancer screening analysis system and method based on multi-modal image fusion, and the system comprises an information entropy weight adjustment module, a time-frequency domain feature processing module, a geometric correction fusion module, a data real-time updating module and a comprehensive analysis output module. According to the method, weight distribution is optimized by evaluating the contribution degree of each mode in a specific scene, the data processing accuracy in the diagnosis process is enhanced, time-frequency domain conversion and filtering synchronization are carried out on image data, efficient integration of different mode features is achieved, and image alignment is more accurate through multi-scale decomposition and feature matching of geometric correction; the method has the advantages of reducing the misdiagnosis rate, flexibly adjusting and keeping the timeliness and adaptability of a processing strategy according to new diagnosis data, and remarkably improving the accuracy of early detection of breast cancer by strengthening key diagnosis features and improving the expression quality of image data, thereby playing a positive role in improving the survival rate and life quality of patients.

The utility model relates to the technical field of cutting machines, and discloses a rubber cutting machine which comprises a main body mechanism and a clamping adjusting mechanism, the clamping adjusting mechanism is located at the lower end of the main body mechanism, the main body mechanism comprises a working table top, a U-shaped supporting frame and a first electric push rod, the U-shaped supporting frame is fixedly installed in the middle of the upper end of the working table top, and the first electric push rod is fixedly installed in the middle of the upper end of the working table top. The first electric push rod is fixedly installed at the lower end of the U-shaped supporting frame, the main body mechanism further comprises a first push rod, a cutting knife and an adjusting assembly, the first push rod is fixedly installed at the lower end of the first electric push rod, the cutting knife is fixedly installed at the lower end of the first push rod, and the adjusting assembly is located above the working table top. According to the rubber cutting machine, the main body mechanism is installed and improved, so that the cutting adjusting capacity of the rubber cutting machine is improved, in the actual use process, the cutting length needed by rubber can be conveniently adjusted according to the machining requirement, and the market competitiveness of the rubber cutting machine is improved.

The embodiment of the invention provides an intelligent auxiliary method, electronic equipment, a readable storage medium and a program product. The intelligent assistance method comprises the steps that according to session information of a first user, a domain generative model corresponding to the session information is determined, user information of a second user is obtained, and the user information of the second user at least comprises attribute information and / or historical session information; on the basis of the session information of the first user and the user information of the second user, generating prompt information and inputting the prompt information into a field generation type model so as to obtain corresponding generation information through the field generation type model; and performing semantic analysis on the generated information, and generating structured data responding to the session information of the first user according to a semantic analysis result. By determining and using the domain generative model corresponding to the session information of the first user, the domain generative model is a pre-trained model, so that the accuracy of model processing can be improved, the processing time of the model can be shortened, and the service efficiency in scenes such as customer service can be improved.

The invention discloses a precision current transformer measurement and data analysis method, particularly relates to the field of current detection and dynamic signal analysis, and comprises a precision magnetic core design scheme based on a nanocrystalline strip and a dynamic magnetic performance test and frequency response analysis method. A nanocrystalline strip with high magnetic conductivity and low loss characteristics is selected as a magnetic core material, and a high-performance magnetic core suitable for multiple frequency ranges is designed; the magnetic stability and response characteristics of the magnetic core material under different working conditions are evaluated by combining high-frequency current source excitation with dynamic magnetic performance test; a signal acquisition and frequency decoding technology is adopted, an output voltage signal is analyzed in real time, and the linearity and precision of a measurement system are optimized through a mathematical model; according to the method, accurate measurement and data analysis of complex current signals under high-precision and high-frequency conditions are realized, and the applicability and reliability of the current transformer are improved.

The invention relates to the technical field of tail water weight-losing treatment, in particular to a weight-losing management and control method for recycling farmland tail water. A corresponding neutralizer or precipitant is arranged in the farmland tail water, the reagent amount of the neutralizer or precipitant is determined in combination with the reaction state, the weight losing and disinfecting steps of the farmland tail water are accurately controlled, and the stirring time of the neutralizer or precipitant in the farmland tail water is jointly calculated in combination with a temperature factor and an illumination factor. Therefore, the treatment precision of weight loss treatment of the farmland tail water is improved, meanwhile, whether the stirring device can execute corresponding stirring treatment operation or not can be determined conveniently, it is ensured that weight loss treatment of the farmland tail water can be completed, and reasonable and effective treatment and recovery of the farmland tail water are achieved.

The utility model relates to the technical field of railway maintenance engineering, and discloses a steel rail corrugation removing trolley which comprises a driving trolley and a driven trolley which are connected with each other, the driving trolley pulls the driven trolley to move forwards or backwards in a reciprocating mode, and the driven trolley is used for bearing a water jet cutter device and an identification system and removing steel rail corrugation. The driving trolley and the driven trolley are both provided with wheel sets which clamp the steel rail upwards from the lower jaw of the steel rail. The movable trolley is used for carrying the water jet cutter device and the recognition device, meanwhile, the contact surfaces of the auxiliary wheels of the driving trolley and the driven wheels of the driven trolley and the steel rail are lower jaws of the steel rail, and the steel rail is clamped up and down, so that vibration and instability caused by the uneven surface of the steel rail are effectively avoided, and the service life of the steel rail is prolonged. The processing accuracy of the water jet device and the recognition device can be improved.

The application discloses a signal processing method based on deep learning and adaptive filtering fusion, comprising the following steps: S1, original signal acquisition and pretreatment; S2, adaptive filtering; S3, constructing a deep neural network model to extract deep features of the filtered signal; S4, signal fusion to eliminate interference; S5, establishing a real-time closed-loop feedback mechanism for dynamic parameter adjustment; S6, end-to-end dynamic optimization process; S7, iterative update and high confidence sample judgment; S8, using the trained adaptive filtering module and deep neural network model to process newly collected signals, and generating reconstructed signals through signal fusion. The application effectively fuses adaptive filtering and deep neural network, realizes accurate suppression of multipath effect, nonlinear noise and transient interference in complex wireless signals, and high-dimensional feature extraction, thereby significantly improving the precision, robustness and real-time performance of signal processing.

The invention discloses an RPA-based power dispatching service auxiliary method, system and device, and a medium. The method comprises the following steps: logging in a power dispatching OMS system by using an RPA automation technology; interactively triggering an operation management function through a target control, and sequentially executing UI element clicking, interface component activation operation and event distribution to a CLOW node to jump to a scheduling operation page; obtaining the number of executed work orders by adopting a selenium technology, triggering work order operation instructions in sequence, and extracting planned operation time, operation content and advance notice unit names in the work orders; on the basis of the extracted work order information, target grouping check and message content input and sending including operation content, time and ticket changing signature are completed in a message management module; generating massive controlled training sample sets through an RPA model, and performing parallel training on the sample sets by adopting a deep reinforcement learning algorithm; and carrying out adaptive process design based on a training result, and adjusting and perfecting a business process through iterative development testing and according to a deployment environment.

The invention relates to an answer determination method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: decomposing problem information associated with a product networking topology design to obtain multiple pieces of sorted sub-problem information; inputting each piece of sub-question information into a pre-trained question processing model in sequence to obtain answer information corresponding to each piece of sub-question information; any one piece of sub-question information except the first sub-question information in the sub-question information carries prompt information, and the prompt information carried by the any one piece of sub-question information comprises sub-question information arranged before the any one piece of sub-question information and answer information corresponding to the sub-question information; and determining target answer information corresponding to the question information according to the answer information corresponding to each piece of sub-question information. By adopting the method, the answer determination accuracy can be improved.

The utility model relates to the technical field of machining, in particular to a movable arc contact section cutting tool clamp, which aims to solve the problems of poor machining precision and time and labor waste caused by frequent disassembly and assembly of the existing clamp. The clamp comprises a main body, a fixed plate and a clamping ring, the main body is inserted into the side surface of the fixed plate; the moving arc contact is sleeved at one end far away from the main body; one end of the moving arc contact close to the main body is provided with a step. The clamping ring is sleeved with the main body; the clamping ring is provided with a concave surface matched with the step; after the main body, the moving arc contact and the snap ring are assembled in sequence, the concave surface abuts against the step. And the clamping ring is detachably connected with the main body. According to the device, only the moving arc contact needs to be sleeved at one end of the main body, and the clamping ring is used for locking the moving arc contact, so that fixation can be completed. The ball bearing is arranged between the main body and the fixed plate, so that the main body can rotate along the axis of the main body, and the processing position of the moving arc contact can be easily adjusted without taking down the main body.

The invention discloses a fault processing method and device for a vehicle communication network, and electronic equipment. The method relates to the field of vehicle communication and fault processing and comprises the steps that communication data of vehicle-mounted communication equipment and network data of an operator network connected with the vehicle-mounted communication equipment are acquired, the communication data represent the network state of the vehicle-mounted communication equipment, and the network data are used for representing the network state of the operator network; based on the communication data and the network data, a fault detection result of the vehicle communication network is determined, and the fault detection result is used for representing a fault cause of a fault of the vehicle communication network; and performing fault processing on the vehicle communication network based on the fault detection result. According to the invention, the technical problem of low processing accuracy of the communication network fault of the vehicle-mounted communication equipment in the prior art is solved.

The embodiment of the invention relates to the technical field of communication, and discloses an audio and video device and a corresponding multi-device data transmission method, comprising the following steps: a master device acquires a video stream from at least one slave device so as to acquire a multi-channel video stream formed by the video stream of the master device and the video stream of the at least one slave device; splicing the multiple paths of video streams to obtain a spliced video stream; the master device obtains the audio stream from the at least one slave device so as to obtain at least one audio stream formed by the audio stream of the master device and / or the audio stream of the at least one slave device; and adding at least one audio stream to the spliced video stream to obtain a synthetic video stream to be displayed. Through establishing a joint cooperative transmission channel among a plurality of audio and video devices, the fast sharing of audio data and video data is realized, and the efficiency and quality of conference communication are greatly improved.

The invention relates to the field of photovoltaic inspection, and discloses a foreign matter identification method and system and photovoltaic inspection equipment, and the method comprises the steps: obtaining a data set containing a foreign matter, carrying out the division of at least two dimensions of the foreign matter in the data set, and adding a foreign matter type label to each data subset obtained through division; constructing a foreign matter recognition model, and training the foreign matter recognition model by using the data set; and identifying a target foreign matter on the photovoltaic module based on the trained foreign matter identification model, and outputting a feature value of the target foreign matter corresponding to each foreign matter category label. Whether the target foreign matter exists in the image data or not is recognized, and the probability value of the target foreign matter corresponding to each foreign matter category label is obtained through calculation. According to the method and the device, the data set is divided in different dimensions, so that the data set has a generalization characteristic, the model has a basis for identifying any foreign matter, the difficulty of data set arrangement is reduced, the working performance of model construction and processing is improved, and the foreign matter identification range is also expanded.

The utility model relates to the field of steel plates, in particular to a composite wear-resistant steel plate which comprises a steel plate body and a shell. Symmetrical wear-resistant layers are arranged on the two sides of the steel plate; a supporting plate is arranged in the shell; the bottom is contacted with the supporting plate; a supporting rod is arranged on the side face of the shell. A lifting spring is arranged at the top of the supporting rod; spring plates are arranged at the ends, away from the supporting rods, of the lifting springs; a rotating bracket is arranged at the top of the spring plate; a rotationally connected rotating shaft is arranged on the side surface of the rotating bracket; a guide plate is arranged on the side surface of the rotating bracket; the steel plate machining accuracy and stability can be effectively improved through the combination of the pressing plate and the supporting plate, and the problems that the contact area between the device and the side face of a steel plate is too small and the like can be solved by adopting the large-area pressing machining mode of the pressing plate; therefore, the stress on the side surface of the steel plate is more uniform, the problem that the steel plate is curled after being extruded is reduced, and the flatness precision of the steel plate after being processed is improved.

This invention discloses a method for processing irregularly shaped complex welded components, belonging to the field of irregularly shaped welded component processing technology, to solve the problems of low processing efficiency and high quality risk in existing technologies for processing irregularly shaped complex welded components. The method includes determining the centerline of the irregularly shaped complex welded component and judging whether the centerline is accurate; using the determined centerline as a reference, fixing the irregularly shaped complex welded component on a processing platform, aligning the centerline, and then fixing it; processing the mating parts of the irregularly shaped complex welded component in a single clamping operation; and drawing reference lines on the irregularly shaped complex welded component for subsequent mating reference with other components. This invention can be used for processing irregularly shaped complex welded components.

The invention relates to the technical field of Micro-LED display, and discloses a Micro-LED ISO vertical angle etching method, which comprises the following steps: S1, epitaxial layer growth control: providing a sapphire substrate as a substrate, growing an epitaxial layer structure on the substrate, and growing silicon oxide with a certain thickness on the substrate through PECV equipment to serve as a protective layer, S2, photoetching patterning: selecting positive photoresist, and performing photoetching patterning on the positive photoresist to form an epitaxial layer; the method comprises the following steps: S1, coating the surface of a protective layer with a spin coater, and then carrying out photoetching and developing to manufacture a pattern, needing to be etched, of the ISO side wall, S3, carrying out metal coating and patterning, S4, carrying out dry etching epitaxy, and S5, removing the protective layer. The ISO side wall epitaxy with the angle approaching to be vertical is obtained by removing the epitaxial protection layer through wet etching or dry etching, the light-emitting area loss of the Micro-LED is reduced, the light emitting efficiency is improved, conditions are provided for Pitch reduction of a chip, meanwhile, chip breakage caused in the subsequent laser stripping process is reduced, and the yield and stability of chip manufacturing are improved.

The invention relates to a fault processing method and device, computer equipment, a storage medium and a computer program product, and the method comprises the steps: processing a fault controller in a disk array according to fault early warning information under the condition that the fault early warning information sent by a corresponding logic unit is received; and under the condition that the fault early warning information sent by the corresponding logic unit is not received, interacting with other controllers in the disk array, and processing the fault controller in the disk array according to the interaction information. According to the method, the logic unit is arranged on the controller mainboard to sense the state of the slot position controller, and the state is synchronized to the logic units on other slot positions, so that the fault can be quickly sensed, and the fault isolation is carried out. Moreover, when the logic unit reports the fault early warning information, other controllers can quickly sense the fault through the corresponding logic unit, so that the fault detection efficiency can be improved.

The invention discloses a file desensitization and back-desensitization method and system for side-end equipment with semantic fidelity. Localized, reversible and semantic-fidelity file desensitization and back-desensitization closed-loop processing is achieved on the side-end equipment with limited resources. The technical category of the method covers lightweight named entity recognition, dynamic semantic agent generation, a deterministic token replacement mechanism, local encryption mapping table management and unstructured / semi-structured text-oriented multi-modal document unified processing, and the method is suitable for local files, which are preprocessed and converted into text sequences, such as Word, PDF, Excel, pictures and the like. The objective of the invention is to enable a third-party processing result to still have analysis effectiveness and support accurate desensitization restoration through a desensitization strategy which retains an entity type, a semantic role and a contextual relationship on the premise that original sensitive data is not out of equipment, so that the dual requirements of privacy protection and data availability under compliance requirements of GDPR, personal information protection method and the like are met.

The utility model discloses an outer convex point punching device for a copper pipe flared opening, and relates to the technical field of copper pipe machining equipment. The device comprises a bottom plate, an L-shaped plate is fixedly connected to the rear end of the upper surface of the bottom plate, a machining assembly is arranged on a vertical supporting arm of the L-shaped plate, and a fixing assembly is further arranged at the front end of the upper surface of the bottom plate. The front end and the rear end of the first arc-shaped piece are driven by the bidirectional hydraulic cylinder in the machining assembly to move, so that the first arc-shaped piece rotates relative to the mounting rod, convex point machining is conveniently carried out on the horn mouth of the copper pipe, the problem that convex point machining is not conveniently carried out on the horn mouth of the copper pipe in the prior art is solved, and the machining efficiency is improved. The first hydraulic cylinder in the fixing assembly drives the U-shaped frame to rotate relative to the mounting base, the copper pipe fixed in the U-shaped frame is driven to rotate, and the problem that in the prior art, machining of multiple sets of convex points on the copper pipe is inconvenient is solved.

The invention discloses a multi-station intelligent top fly pressing machine, and belongs to the technical field of garment processing equipment. The device mainly comprises a rack, a suspension assembly is located above the central axis of the rack and is fixedly provided with a slip ring device, the slip ring device is rotationally connected to the center of the rack, the slip ring device comprises a rotating frame, and three station supports are integrally formed on the side wall of the rotating frame; a clothes placing device used for placing clothes is installed on the top faces of the ends of the three station supports through lifting devices, the clothes placing device is rotationally connected to the top face of the rack through a sliding ring device, and a pressing device used for ironing the clothes is installed on the bottom face of the hanging assembly; a cooling device used for cooling clothes is fixedly installed at the end of the hanging assembly, the tensioned clothes are ironed through the pressing device, the clothes are made to reach the needed shape preliminarily, a water cooling system of the cooling device is used for rapidly cooling the ironed clothes, clothes fibers are rapidly fixed to the ironed shape, and accurate shaping is achieved.

The invention discloses a fundus image enhancement method based on multiple attention and generative adversarial networks. The method comprises the following steps: acquiring a plurality of fundus retina images; dividing the plurality of fundus retina images according to a preset proportion to obtain a training set and a test set of the plurality of fundus retina images; and inputting the training set and the test set of the plurality of fundus retina images into a pre-constructed image enhancement network, and training and testing the pre-constructed image enhancement network to obtain a successfully trained image enhancement network. According to the invention, the technical problems of low processing precision and poor effect of the existing image enhancement method based on deep learning on retinal artifacts generated by dust particles on lenses and physiological structures such as blood vessels, optic cups and optic discs in the image enhancement method of low-quality images are solved.

The invention belongs to the field of artificial intelligence and the field of digital medical treatment, and relates to a flow distribution method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining account information of a user if an inquiry request is received, and querying the historical information of the user based on the account information; collecting complaint information of the user and acquiring reception information of each doctor; performing factor generation processing on the historical information, the chief complaint information and the reception information to obtain an initial key factor; screening target key factors related to inquiry flow distribution from the initial key factors; generating a target weight corresponding to the target key factor; constructing a multi-flow factor distribution model based on the target key factor and the target weight, and calculating a flow distribution priority value of each doctor based on the multi-flow factor distribution model; and screening out a target doctor with the highest flow allocation priority value from all doctors, and allocating the user to the target doctor. According to the invention, the processing accuracy of inquiry flow distribution is effectively improved.

The present invention provides an intelligent linkage processing method based on enterprise project data decomposition. When the task processing environment currently located in the user end is in a safe state, the user end is switched to the task processing interface, and the subtasks obtained by decomposing the enterprise project data currently required to be processed by the user end are loaded into the task processing interface, so as to perform orderly layout arrangement; the processing attribute information of the subtask currently loaded in the task processing interface is identified, so as to judge whether the currently loaded subtask is processed normally, and generate a task processing log; based on the task processing log, the task processing interface is subjected to subtask loading and updating processing and the task processing log is updated, so as to realize tracking processing of all subtasks; after completing the processing of all subtasks under the task, the processing results of all subtasks are checked, and it is judged whether the processing results are normal, and the tasks are subjected to block layout processing, so as to ensure the orderly and accurate processing of the tasks and improve the reliability of the task processing.

The present invention discloses a CCBT system data processing method based on visual-linguistic multimodal information, and relates to the technical field of depression detection. The CCBT system data processing method based on visual-linguistic multimodal information includes the following steps: data acquisition; audio effectiveness evaluation; video effectiveness evaluation; optimization effectiveness evaluation. The present invention obtains an audio effectiveness evaluation value through the acquired voice features, determines whether to perform audio optimization based on the audio effectiveness evaluation value, then obtains a video effectiveness evaluation value based on the acquired video features, determines whether to perform video optimization based on the video effectiveness evaluation value, and finally obtains an optimization effectiveness evaluation value based on the test data and the test data obtained after the test optimization, determines whether to perform feedback based on the optimization effectiveness evaluation value, thereby improving the accuracy of depression diagnosis data processing in the CCBT system, and solving the problem of low accuracy of depression diagnosis data processing in the CCBT system in the prior art.

The present invention relates to a control method, system and terminal of a high-precision grinder for an eccentric butterfly valve sealing pair, and relates to the technical field of grinding machines. The method includes: obtaining pressure detection information and slope detection value; determining eccentric butterfly valve selection specification information according to pressure detection information and slope detection value analysis; retrieving specification slope requirement value based on eccentric butterfly valve selection specification information; calculating slope adjustment value; determining slope adjustment control information according to slope adjustment value analysis; determining grinding process path information according to eccentric butterfly valve selection specification information and slope adjustment control information analysis; determining grinding process follow-up control information corresponding to the grinding process path information according to the grinding process path information; combining the slope adjustment control information with the grinding process follow-up control information as grinding process comprehensive control information and outputting it to a high-precision grinder for grinding process. The present invention has the effect of improving the overall processing efficiency of the sealing pair of the eccentric butterfly valve and achieving 100% interchangeability.