44results about How to "Quick culling" patented technology

The invention discloses a vehicle-mounted network intrusion signal detection method and device and a medium, and the method comprises the steps: carrying out the layer-by-layer analysis of an application protocol of a captured network data package, and obtaining an analysis result comprising the load content of a network data package application layer; according to the analysis result, removing the data packet of which the protocol attribute information is not matched with the preset protocol feature library to obtain a target data packet; and detecting the load content of the target data packet by using a pre-established rule base comprising intrusion event characteristics so as to determine whether an intrusion event occurs in the vehicle-mounted network. Therefore, malicious data can be timely and effectively identified and intercepted based on layer-by-layer analysis of a data packet application protocol and deep detection of load content of an application layer. In addition, whether the data packets are matched with the preset protocol feature library or not is judged in real time, and the data packets which do not accord with the protocol are quickly eliminated, so that the network attack type is quickly determined according to the load content and the rule library, the network attack is stopped in time, and the safety of the vehicle-mounted network is improved.

The invention discloses a method and system for measuring the volume of a dry bulk material pile by using a storage yard camera, and the method comprises the steps: installing a high-definition camera at the periphery of a storage yard or on mobile operation equipment, and collecting the image data of the storage yard; preprocessing the data; carrying out image matching based on an improved SIFT algorithm; reconstructing a three-dimensional structure of the storage yard; wherein the improved SIFT algorithm specifically comprises the following steps: during feature point matching, performing rough matching on feature points according to Euclidean distance, connecting rough matching pairs, comparing an included angle between connecting lines with a preset angle threshold value, removing wrong matching pairs, obtaining feature point matching pairs after fine matching, and performing image matching; segmenting and extracting point cloud data of the material pile, converting the point cloud data into a triangular network model, and calculating the volume of the material pile by using definite integral with the ground of the storage yard as the bottom surface. The method can be specifically applied to large dry bulk cargo collecting and distributing port stations or warehouses such as ports, power plants and coal storage bases, and the material pile volume of a storage yard can be rapidly and accurately obtained in real time.

The invention provides a dynamic news information data filtering method and tool. The method comprises the steps of obtaining a dynamic news information data set obtained in a web crawler mode; preprocessing the dynamic news information data set to obtain a preliminarily filtered dynamic news information data set; wherein the preprocessing comprises empty judgment check; performing deep noise cleaning on the preliminarily filtered dynamic news information data set by using a filtering prompt word indication large model so as to identify and remove impurity noise information contained in the dynamic news information data set, and removing character contents in a preset range by using a regular expression; and comparing the news information data acquired through different information sources contained in the dynamic news information data set by adopting a comparison algorithm model so as to remove repeated information and obtain the dynamic news information data set after deep filtering. According to the invention, highly intelligent and automatic filtering processing of dynamic news information data can be realized.

The invention relates to the technical field of spring detection equipment, in particular to a method for automatically identifying and sorting springs with surface defects during spring winding, which comprises the following steps of: A, pretreating a steel wire coil, namely performing parameter detection on the steel wire coil, performing flaw detection marking on the steel wire coil and performing surface treatment on the steel wire coil to obtain a steel wire coil to be wound; b, spring winding is conducted, specifically, the steel coil to be wound is placed in a spring winding machine, and springs to be screened are obtained through winding; c, detecting and sorting: before to-be-screened springs are cut off, automatically detecting parameters of the to-be-screened springs, and utilizing the characteristics that the induction heating speed is high, coatings sprayed on the same circumference of steel wires are not completely uniform, so that the cooling speeds of the steel wires are inconsistent, and obvious small bends appear under the condition of thermal expansion and cold contraction; in addition, after the coating is volatilized and cured, a hardened layer with high adhesive force is formed on the surface of the steel wire at the defect position, and mechanical property difference and surface difference between the defect position of the steel wire and the steel wire at the normal position are artificially caused.

The present invention discloses an automatic punching device for positioning the outer circle of a rotor punching sheet, which relates to the technical field of rotor punching sheet production, and comprises a base and a steel silicon sheet. A material placement table is arranged on the top of the base, and a through hole is opened on the top of the base corresponding to the material placement table. The bottom of the steel silicon sheet is arranged on the top of the material placement table, and a positioning clamping mechanism is symmetrically arranged on the top of the base. When producing rotor punching sheets, the automatic punching device for positioning the outer circle of a rotor punching sheet can, after placing the steel silicon sheet on the material placement table, drive the two clamping blocks to move inward synchronously during the process of the punching die head being driven down by a cylinder, so as to automatically position the steel silicon sheet, and can initially clamp and lock the steel silicon sheet after it is lowered to a certain extent. At the same time, when the punching die head contacts the steel silicon sheet, the pressure ring and the support block cooperate to clamp the steel silicon sheet again during punching, so as to avoid deviation of the punching position, thereby ensuring stability and accuracy during punching.

The utility model belongs to the technical field of filter stick forming equipment, and discloses a hollow paperless filter stick end face detecting and removing device which comprises a cigarette distributing wheel assembly, a detecting wheel assembly, a removing wheel assembly, a switching wheel assembly, a transition wheel assembly, a tensioning wheel assembly, a mounting panel, a fixing support assembly, a camera assembly, a detecting system, a removing system and a removing channel. According to the utility model, the camera assembly is used for photographing the end surfaces of the filter sticks, a contour analysis method is adopted for carrying out defect analysis on the hollow paperless filter sticks, unqualified filter sticks are removed, and waste materials enter the waste material barrel through the removal channel after removal, so that the detection and removal of the hollow paperless filter sticks without manual intervention are realized; the quality of the filter stick meets the production process standard requirements.

This invention relates to the field of plastic bottle inspection technology, specifically to an integrated control device for online real-time defect detection and closed-loop correction of plastic bottles. The device includes a conveyor line, a rotary indexing plate, two replenishment conveyor lines, and a plastic bottle gripper and transfer unit. This integrated control system automatically grips the plastic bottles, eliminating the need for opening and closing clamping actions. Furthermore, this structural design allows for automatic rejection of plastic bottles during rotation without stopping the clamping process, reducing overall process time and enabling rapid rejection and replenishment. When multiple consecutive defective plastic bottles occur, the push mechanism releases its contact with the lower push plate, allowing all four gripping mechanisms to operate simultaneously for rapid bottle replacement and replenishment. When there are no consecutive defective bottles, the push mechanism can activate only two gripping mechanisms.

The invention provides an oral care device which structurally comprises a positioning base, a dismounting head, a control host, an anti-skid sleeve, a control end and a vibration structure, the upper end of the positioning base is in threaded connection with the lower end of the dismounting head, the dismounting head is connected to the lower end of the control host, and the edge of the control host coincides with the inner wall of the anti-skid sleeve; the control end is arranged at the edge position of the control host and is in spacing fit with the anti-skid sleeve; the vibration structure is mounted at the upper end of the control host and works through the control end; after the vibration structure is improved, electric leakage can be prevented when the electrifying block is electrified through protection of the insulating disc, and then after the toothbrush head is inserted into the vibration body, the bottom of the toothbrush head is restrained by the vertical column and the ejection structure, so that the toothbrush head is prevented from being damaged during later replacement. The rotating screw of the ejection structure can drive the ejection block to move upwards to forcibly eject the toothbrush head out, so that the phenomenon that the toothbrush head is difficult to pull out due to blockage caused by accumulation of internal impurities and ditches is avoided, and the replacement convenience of the toothbrush head can be improved.

The utility model discloses a rhizome kind of traditional chinese medicine decoction piece spectrum detection grading system, including the body carrier, the upper end of body carrier is provided with the conveying structure, the upper end of conveying structure is provided with material guide structure, the upper end of conveying structure is provided with visual sorting system, and the bottom end of conveying structure is provided with the storage box side away from material guide structure side in parallel, and conveying structure includes the positioning frame fixed setting in the upper end of body carrier, and the inside transmission of positioning frame is provided with the conveyer belt. The utility model provides a rhizome kind of traditional chinese medicine decoction piece spectrum detection grading system, is placed in the top of conveyer belt through the conveyer belt after setting visual sorting system cooperation conveying structure, traditional chinese medicine slice can realize the continuous conveyance to traditional chinese medicine, and the spectrum detection of traditional chinese medicine can be carried out to the cooperation spectrum detection appearance of conveying, and if the medicine control electric push rod pushes the push plate and can be removed to the medicine fast if mouldy, so this can realize the accurate sorting of traditional chinese medicine.

The invention discloses a micro negative pressure separation system for a graphite material super-crushing process, which comprises the following steps: firstly, carrying out ultrasonic pre-dispersion on super-crushed graphite powder under the protection of inert gas, so that agglomerated particles are dissociated to form uniform suspended powder cloud; and then sealed feeding between the normal-pressure area and the negative-pressure grading area is achieved through a spiral airlock mechanism. In a negative pressure environment, powder is sequentially subjected to coarse separation of the speed increasing channel, grading separation of the rotational flow field and dispersion conditioning under the action of the electrostatic field, and a stable gas-solid two-phase system suitable for fine screening is formed. In the fine grading part, a multi-layer ceramic membrane filtering structure is adopted to cut off the particle size of submicron-scale and nano-scale powder, and periodic regeneration of a membrane surface is realized through a pulse back flushing device, so that continuous and stable filtering flux is maintained. The system realizes closed-loop control of atmosphere through negative-pressure air exhaust and oxygen content monitoring, so that the whole process is operated under a low-oxygen condition, and graphite powder with different particle size grades, such as coarse powder, medium powder, fine powder and nano powder, is obtained.

The present invention relates to a method for extracting and eliminating incomplete routes based on ADS-B data, which belongs to the field of track processing technology, and includes the following steps: step 1, pre-processing regional sample data to generate partially completed routes; step 2, for track segments that cannot be classified as a complete cluster in step 1, iteratively fusing similar tracks to generate routes; step 3, forming a regional route set by combining the routes in step 1 and the routes in step 2; step 4, extracting the latitude and longitude position information of unidentified target track points, matching the nearest routes with the regional route set generated in step 3, calculating the position similarity between the unidentified target track and its nearest routes, and determining whether the target is flying on a civil aviation route; step 5, screening the targets on the civil aviation route determined in step 4 for sensitive targets. A new perspective for the sensitive target screening method is provided, with high accuracy and stable performance in complex scenarios.

The invention relates to the technical field of traffic detection, and discloses a malicious traffic detection method based on feature rules, which comprises the following steps: extracting malicious traffic detection feature rules one by one for format verification, and extracting related rule option information; constructing a rule dividing and conquering chain according to the related rule option information, and constructing rule groups for rules of the same dividing and conquering chain path; grouping according to the rules, selecting part of rule options of each rule, and constructing a multimode intensive graph of a corresponding group; constructing a precise detection chain of each rule according to the multimode intensive graph; the detection performance of the front malicious traffic detection engine based on the feature rule is improved, the problem that the network security product detection effect is poor due to the fact that the front malicious traffic detection engine based on the feature rule is insufficient in performance is solved, and the effects of finding suspicious traffic in time and removing normal traffic more quickly are achieved.

The embodiment of the invention relates to the technical field of data processing, in particular to a data quality detection method and system applying deep learning, which can efficiently process large-scale marine environment monitoring data and accurately detect quality problems in the data through an automatic data processing and analysis process. By constructing a special monitoring data analysis network, deep knowledge vector mining is performed on original marine environment sensing monitoring sample data and augmented data, so that key features reflecting environment quality are extracted, data processing efficiency is improved, and data analysis comprehensiveness and reliability are enhanced. And a solid foundation is provided for subsequent network optimization by accurately determining the target network debugging error of the monitoring data analysis network. By improving the network configuration variables, the data quality detection network can quickly identify and reject low-quality data in practical application, so that the credibility and effectiveness of the marine environment monitoring data are greatly improved.

The utility model discloses a waste rejecting device for ampoule detection, which comprises a conveying component, the conveying component comprises a detection frame, the detection frame is arranged on one side of the top of the conveying component, a rejecting frame is arranged on the other side of the detection frame, motors are symmetrically arranged on the outer side of the conveying component, a rejecting mechanism is arranged on the top of the conveying component, and the rejecting mechanism is arranged on the top of the conveying component. And the removing mechanism comprises a removing assembly and a detecting assembly, the removing assembly and the detecting assembly are used in cooperation, the top of the rotating shaft is fixedly connected with a half gear, the half gear is connected with the rack in a meshed mode, and the bottom of the rotating shaft is fixedly connected with a removing plate. According to the waste rejecting device for ampoule detection, the rejecting mechanism is arranged, so that defective ampoule bottles can be quickly identified, positioned and rejected, compared with a manual detection mode, the accuracy is higher, the efficiency is high, the omission ratio is lower, the production efficiency is improved, the production rate of unqualified products is reduced, the structure is simple, and the practicability is high. And the practicability is high.

The present invention relates to a pneumatic rejection device, system and method for waste cigarettes, comprising a plurality of flexible air nozzles arranged in an array along a set plane and with central axes parallel to each other, the flexible air nozzles being supported by a supporting structure, the flexible air nozzles having an air duct, one end of the air duct being connected to an air supply mechanism, and the other end being capable of being sealed and connected to a corresponding workstation hole in a cigarette mold box, the central axis of the flexible air nozzle being parallel to the central axis of the workstation hole; the supporting structure being connected to a linear drive mechanism, the driving direction of the linear drive mechanism being coincident with the direction of the central axis of the workstation hole, the linear drive mechanism being capable of driving the plurality of flexible air nozzles to synchronously complete the sealed connection or relaxation with the corresponding workstation holes.

The utility model discloses a self-cleaning type stirring barrel scraper mechanism, which relates to the technical field of stirring barrel cleaning, and comprises a first driving motor, the bottom end of the first driving motor is coaxially connected with a lead screw, a brush is arranged at the top end of a shovel plate, the outer walls of two concave blocks respectively slide with the outer wall of the brush, and the concave blocks are arranged at the top end of the shovel plate. A clamping block fixed to one side of a box body is clamped to the inner wall of a clamping groove, the outer wall of an inserting block is arranged at the top end of a square block in a sleeving mode, and therefore the box body is stably installed on the inner wall of the shoveling plate, and the shoveling plate is driven to move up and down on the inner wall of the stirring barrel. The inner wall of the cleaning barrel is removed, so that the part is further cleaned after the inner wall of the cleaning barrel is removed, sundries on the inner wall of the stirring barrel can be better and automatically removed, a worker is prevented from manually holding a scraper device to clean and sweep the inner wall of the stirring barrel, and the operation burden of the worker is reduced.

The invention relates to the technical field of silicon carbide power devices, in particular to a silicon carbide power device reliability detection device which comprises an operation table and a feeding mechanism, the feeding mechanism is installed in the center of the table top of the operation table, and the feeding mechanism comprises a first servo motor, a main driving shaft and a chain wheel set. The first servo motor drives the chain wheel set to rotate by driving the main driving shaft, the chain wheel set is installed in the center of the table top of the operation table to rotate, and the clamping device is characterized in that 22 sets of clamping mechanisms are fixedly arranged on the side of the chain wheel set and comprise fixing assemblies and limiting clamps; through the arrangement of the limiting clamp capable of clamping the silicon carbide device, through the design, the unqualified product can be quickly removed and conveniently taken when detected, the potential safety hazard is reduced while the manpower is reduced, through the design, the pushing mechanism can be driven to push out the damaged device when the damaged device is detected, and the silicon carbide device detection device is convenient, quick and convenient to operate.

This invention provides a backdoor defense method for federated learning based on gradient consistency and dual unsupervised clustering, comprising: obtaining gradient updates submitted by multiple clients participating in federated learning in the current training round; for each client, predicting the gradient update of the current round based on historical global model parameters and the client's historical gradient updates; calculating the difference between the actual gradient update and the predicted gradient update of each client to generate a malicious score for the client; adaptively determining the optimal number of clusters based on the malicious scores of all clients using the Gap statistic; performing dual unsupervised clustering detection with a coarse-to-fine approach based on the optimal number of clusters: first, removing clients with high malicious scores using K-means clustering, and then removing residual malicious clients from the remaining clients using DBSCAN clustering, thus selecting benign clients; and performing federated learning global model aggregation based on the gradient updates of the selected benign clients.

The utility model discloses a tin can pet food production line which comprises a first supporting frame used for fixedly installing a metal removing mechanism. A metal removing mechanism is arranged at the upper end of the first supporting frame and comprises a baffle fixedly installed on the upper end surface of the first supporting frame, a lower end supporting column fixedly installed on the upper end surface of the first supporting frame and a first guide plate fixedly installed on the upper end surface of the first supporting frame, and a metal removing mechanism is arranged in the middle of the first guide plate. A first electromagnet is fixedly connected to the surface of the upper end of the first supporting frame, a second guide plate is rotationally arranged on the surface of the upper end of the first supporting frame, and an electromagnet is fixedly connected to the surface of the tail end of the second guide plate. According to the tin can pet food production line, the module integrated design is adopted in the production line, metal removal, quantitative split charging and transportation operation can be conducted at the same time, time wasted by material transfer is avoided, and the production and packaging efficiency is greatly improved.

The invention relates to the technical field of databases, in particular to a Tr inoCoord inator high availability method, which comprises the following steps that: Nginx receives a client query request transmitted by a Tr ino, and establishes a service agent node to be connected with each coordination node of the Tr ino based on the received client query request; the service agent node sends a state sharing task to each coordination node to obtain the cluster resource utilization rate of each Tr ino working node; based on the task response sequence of each coordination node and the current task execution rate of each coordination node, a plurality of alternative coordination nodes for executing the current query task are selected, and the number of the alternative coordination nodes is at least two; the service agent node sends the client query request to each alternative coordination node; and each alternative coordination node obtains a trigger condition from the isolated storage node based on the client query request, and the isolated storage node judges whether the alternative coordination node fails or not according to the update speed of the current query result.

The application relates to the technical field of defect detection, in particular to a paper packaging box quality monitoring method based on visual feature analysis; a local width variation of a line structure is obtained according to the width difference characteristics of local segments in the line structure; a preliminary screening packaging box is obtained according to the local width variation; an average gray profile in the direction of the vertical line of the center line pixel point of the line structure of the preliminary screening packaging box is obtained; a concave point of the line structure is obtained according to the gray distribution characteristics of the average gray profile; a gray consistency characteristic value is obtained according to the regular characteristics of the gray variation on both sides of the concave point; a secondary screening packaging box in the preliminary screening packaging box is obtained according to the gray consistency characteristic value; and a direction consistency characteristic value is obtained according to the difference characteristics of the local and macro texture directions in the line structure of the secondary screening packaging box. The normal packaging box in the secondary screening packaging box is obtained according to the direction consistency characteristic value, and the quality monitoring accuracy is improved.

The utility model relates to the technical field of paper production equipment, and provides a paper rejecting device which is used for rejecting unqualified paper and comprises a machine frame, a main conveying belt, a visual identification probe, a swing frame and a rejecting conveying belt, the main conveying belt is rotationally arranged on the machine frame and used for conveying paper, the visual identification probe is arranged on the machine frame and located above the main conveying belt, and the swing frame is arranged on the rejecting conveying belt. The two swinging frames are arranged on the machine frame in a swinging mode and used for photographing and recognizing whether paper is qualified or not, the two removing conveying belts are arranged on the swinging frames in a rotating mode, the two swinging frames and the two removing conveying belts are symmetrically arranged, the rotating directions of the two removing conveying belts are opposite, and after the two swinging frames swing, the two removing conveying belts clamp or cancel clamping of the paper. By means of the technical scheme, the problem that in the prior art, unqualified paper is not prone to being removed is solved.

The utility model discloses a paper die cutting technical field's a kind of defective product paper automatic rejection die cutting device, to solve the problem of inconvenient rejection of defective product generated in the paper die cutting process in prior art. It includes paper feeding mechanism, cutting mechanism and material receiving mechanism, at least one group of sensors is provided between paper feeding mechanism and cutting mechanism, both sides of material receiving mechanism are equipped with mounting bracket, feed shaft is rotatably arranged between two mounting brackets, adhesive tape roll is installed on feed shaft, the outside of adhesive tape roll is adhesive surface, feed shaft can move in the vertical direction of mounting bracket, material receiving shaft is also installed between two mounting brackets, and material receiving roll is installed on material receiving shaft;The utility model is used to detect the position of defective product in paper die cutting work, and automatically rejects corresponding paper according to the position of defective product paper, since adaptive automation equipment, convenient operation, can avoid secondary damage, with excellent application prospect.

The invention discloses an intercepting and oil-removing device for condensate water of an ethylene device, comprising a storage tank, a main body of the storage tank being provided with a separation mechanism, the separation mechanism comprising two filter tanks, the two filter tanks being placed one above the other and being located outside the storage tank, the interiors of the two filter tanks being connected via a connecting pipe, an oil pipe penetrating through the interior of the filter tank on one side, one end of the oil pipe penetrating through the interior of the storage tank, a magnetic rod being provided at one end of the oil pipe, and the magnetic rod being arranged inside the storage tank. The invention relates to the technical field of oil-removing device, and solves the problem that when the existing condensate oil-removing device is used, only hydraulic pressure and filtering measures are used for step-by-step pressure filtering and impurity removal, resulting in low overall filtering efficiency, and the filtering measures at the front end of the filtering are in a harsh filtering environment, resulting in easy clogging and damage, which not only increases the condensate recovery cost, but also further reduces the overall filtering efficiency.

The invention relates to the field of archival data application, and in particular to an archival data application method based on a large model. The number of each word segment is reduced through a first area, and is associated with a document set and an undirected graph of the document set is established. Based on first interaction data selected by a user, all word segments related to the first interaction data are first screened out, and then a document set with the least number of all related word segments is selected based on the undirected graph, so as to comprehensively select the document set with the least number. In the process of searching for the corresponding document set, the total amount of residual mucus on several paths with the least number of nodes passed by the snail is updated, which can reduce the amount of calculation on the one hand, and quickly eliminate the document set that does not meet the requirements on the other hand, so as to improve the speed of finding the optimal solution. The invention solves the problem that it is difficult to comprehensively and concisely search for all required archival information when searching for archival information by inputting keywords.

This invention discloses a method and system for testing the phase noise of a crystal oscillator. The method includes: acquiring continuous phase noise time-series data after the crystal oscillator is powered on, monitoring the noise reduction during the preheating process, and forming an initial convergence curve; iteratively approximating the initial convergence curve to construct a noise convergence model; discretizing the noise convergence model, calculating the first derivative sequence, and using continuous intervals with derivative values ​​close to zero as a candidate set of potential inflection point positions; performing threshold judgment on the candidate set of potential inflection point positions to obtain confirmed inflection point positions; extracting subsequent steady-state data segments from the confirmed inflection point positions for compliance verification; filtering and energy integration processing on the steady-state data segments to obtain a crystal oscillator verification queue; and determining whether the crystal oscillator verification queue meets a preset stability standard. If it does, the final phase noise performance result is obtained. The method of this invention can accurately determine phase noise under complex operating conditions.

This utility model discloses a fully automatic online paper defect detection device, relating to the field of paper defect detection technology. The device includes a base on which a first paper conveyor belt, a second paper conveyor belt, and a third paper conveyor belt are mounted. A paper rejection assembly includes a guide plate with connecting frames fixedly connected to its four corners. Two second fixed supports are fixedly connected to the lower end of the guide plate, and two rotating shafts are rotatably connected to the opposing surfaces of the two second fixed supports. Multiple paper rejection plates are fixedly connected to the surfaces of the two rotating shafts. Four through slots are formed on the surface of the guide plate, and multiple paper rejection plates are driven to move collaboratively via sprockets and chains. The rejection plates, in conjunction with the guiding effect of the through slots, can quickly and accurately reject defective paper from the conveying path, avoiding the accidental rejection of normal paper. This further improves rejection reliability, reduces the risk of entire batches of products being scrapped due to defective paper contamination, and lowers economic losses for enterprises.

The invention discloses a reflector plate post-treatment processing device for an LED backlight source, and belongs to the technical field of reflector plate processing, the reflector plate post-treatment processing device comprises a conveying assembly used for conveying reflector plates, the conveying assembly is provided with a processing assembly used for removing waste materials at punching positions of the reflector plates, and the processing assembly comprises a blanking mechanism, a cutting mechanism, an adjusting mechanism and a heating mechanism; a waste material assembly used for collecting waste materials is arranged below the machining assembly, and a detection assembly used for detecting rejection of reflector plate waste materials is arranged above the machining assembly. The punching mechanism punches waste out of a hole, the cutting mechanism can accurately cut the edge of the waste around the hole, it is guaranteed that the hole is tidy, the waste is completely separated from a reflector plate, material damage and the production reject ratio are effectively reduced, the waste removing process is faster through cooperation of the cutting mechanism and the cutting mechanism, the machining time is shortened, and the production efficiency is improved. The adjusting mechanism enables the distance between the two blanking mechanisms to be adjustable so as to adapt to reflector plates of different sizes and layouts, and the heating mechanism improves the waste removing effect.

The invention discloses a three-dimensional model filling method and device, a storage medium and electronic equipment. When the method is adopted to realize three-dimensional model filling, the target three-dimensional model can be averagely divided into a plurality of groups of triangular patch sets containing a small number of triangular patches in a multi-division manner according to the length of the target three-dimensional model in each axial direction, and unnecessary triangular patch sets are filtered when an implicit field value is calculated, so that the three-dimensional model filling efficiency is improved. Only one minimum triangular patch set is reserved for calculation, and an implicit field value is obtained and filled. According to the method, the three-dimensional model is spatially divided, all triangular patches do not need to be traversed, unnecessary triangular patches can be quickly eliminated in each calculation, only a small number of triangular patches are calculated, and the calculation speed is greatly increased.

The invention relates to the technical field of nondestructive testing of concrete structures, in particular to an impact echo nondestructive testing data cleaning method based on deep learning. Training a deep learning model by using an existing impact echo mark data set, inputting mark data into a deep learning network for training by using a transfer learning method, and obtaining the deep learning model capable of performing impact echo data classification after training is completed; formatting to-be-cleaned data into a two-dimensional image suitable for deep learning network input, then inputting image data into the trained deep learning model for classification, and obtaining a data label; deleting the impact echo original data of which the labels are invalid data, and then performing peak frequency analysis on the retained valid data or using other analysis methods; according to the impact echo detection data cleaning method based on deep learning, invalid data can be eliminated, and the method is of great significance in guaranteeing the effectiveness of impact echo data and improving the detection precision of hidden defects of a concrete structure.