78results about How to "Obvious superiority" patented technology

The invention discloses a lightweight and high-precision underwater target detection method, and relates to the technical field of computer vision and deep learning. Comprising the following steps: data acquisition: acquiring an underwater image; the collected underwater image is preprocessed; the preprocessed image is input into an improved YOLO-RDM model, and a backbone network Backbone of the model uses an RFAConv module to carry out feature extraction; a multi-scale space enhanced attention mechanism is introduced in the feature extraction process, and appropriate weights are adaptively given to targets of different scales; multiple layers of feature maps extracted from the Backbone network are further processed and fused through a Neck layer, target positioning and classification are carried out on fused features through a Head layer, and bounding boxes and category information of targets are output; a C2fDual structure optimization model is introduced to carry out lightweight processing; training and optimizing the model; and performing real-time target detection on the trained and optimized model, and processing and outputting a detection result. According to the invention, the efficiency and reliability of underwater target detection are significantly improved.

The invention relates to the technical field of mine electromagnetic detection, and discloses a mine transient electromagnetic three-component detection method, which comprises the following steps: S1, selecting and preparing equipment, selecting transmitting equipment, selecting receiving equipment which comprises three sets of receiving coils or antennas consistent with the measurement direction of a three-component electromagnetic field, and configuring data acquisition equipment with anti-interference capability; s2, laying and planning measuring points, dividing an exploration area according to geological data, and dividing the area into a plurality of measuring grids; s3, calibration and system inspection: carrying out system calibration on the transmitting and receiving equipment; s4, formal data acquisition; s5, data storage and backup; s6, data preprocessing; s7, performing inversion and modeling; s8, performing three-dimensional imaging and geological interpretation; and S9, compiling a report. The three-component data of the electromagnetic field is collected, the spatial change characteristics of the electromagnetic field are comprehensively captured, the position, shape and conductivity distribution of the underground anomalous body are detected more accurately, and the limitation caused by traditional single-component measurement can be effectively solved.

The invention provides a virtual power plant scheduling method based on risk avoidance and demand response. The method comprises the following steps: S1, respectively constructing a power market price model, a power grid operation model, a power demand model of a virtual power plant and an available resource model; s2, considering market fluctuation and equipment fault risk factors, and establishing a risk avoidance model of the virtual power plant; s3, based on the risk avoidance model, designing an optimization scheduling strategy for minimizing the risk avoidance index; s4, considering interaction between the virtual power plant and the power market and the power grid, and designing an interaction response mechanism; and S5, performing virtual power plant scheduling simulation evaluation by integrating the models, the scheduling strategies, the constraint conditions and the interactive response mechanism, and adjusting model parameters and strategies according to an evaluation result to optimize performance. According to the scheme, the technical problems in virtual power plant scheduling are solved more comprehensively and flexibly, and compared with a traditional method, the method has obvious superiority in performance.

The invention belongs to the technical field of materials, and discloses mildew-proof modified starch-based super absorbent resin as well as a preparation method and application thereof. The mildew-proof modified starch-based super absorbent resin is prepared from the following raw materials in parts by mass: 10 to 20 parts of modified carboxymethyl starch, 2 to 3 parts of quaternized carboxymethyl chitosan, 10 to 15 parts of 2-acrylamido-2-methylpropanesulfonic acid, 15 to 25 parts of acrylamide, 100 parts of acrylic acid, 0.4 to 0.7 part of a redox initiator and 0.05 to 0.15 part of a cross-linking agent. According to the invention, the inherent defects of low mechanical strength, poor salt tolerance, poor stability, easy decomposition, short service life and the like of the starch-based resin are obviously improved, so that the starch-based super absorbent resin with good mildew resistance and more excellent performance can be developed.

The invention discloses a multi-modal text travel knowledge base response method and system based on a large language model. The method comprises the following steps: acquiring a text and an image input by a user; performing retrieval through an image similarity retrieval technology and a text knowledge base; and returning tourism information related to user input. According to the system architecture, a large language model, image similarity retrieval and text knowledge base construction are integrated, multi-modal input can be efficiently processed, and personalized and accurate tourism information services are achieved. The system further comprises a set of Web user interface which supports the user to interact through multi-mode query of images and texts. According to the method, the response speed and accuracy of the system can be effectively improved, and the expansibility of supporting voice interaction, multi-modal data processing and knowledge base content automatic updating is achieved. The method and the system are suitable for scenes needing to provide personalized tourism information services, and have relatively high practicability and innovativeness.

The invention discloses a hydraulic and hydro-power engineering dangerous rock falling covering type flexible protection system, and relates to the technical field of slope protection. The water conservancy and hydropower engineering dangerous rock falling covering type flexible protection system comprises flexible anchor rods, boundary supporting ropes, steel bar anchor rods, anchor bearing plates of the steel bar anchor rods and a high-strength noose net with long rhombic meshes. The method further comprises the following steps that the current situation of a side slope is known through on-site survey, the historical and spatial distribution range of dangerous rock falling is investigated, the geological conditions and possible damage forms of dangerous rock are investigated and controlled, geological survey data of a dangerous rock falling area are collected, a geological survey report is written, and dangerous rock caving distribution, danger levels and protective net type suggestions are determined. Proposing protection scheme suggestions, finding out conditions of strong and weak unloading zone development depths, weathering zone depths and the like in the dangerous rock development area, comprehensively determining a protection engineering scheme, and implementing protection engineering; the method has good economical efficiency, buffering performance, environmental protection performance and overall stability, can improve the safety and reliability of the dangerous rock mass, and has obvious superiority.

The invention discloses an earth and rockfill dam burst peak flow prediction method and a storage medium, and belongs to the technical field of hydraulic engineering technologies. On the basis of continuous arrangement and expansion of a historical database, a comprehensive database containing outburst case information of 295 earth and rockfill dams is formed, and correlation analysis is carried out on different dam break parameters and outburst peak discharge. Extracting five influence parameters of reservoir capacity above the bottom of the breach during dam break, dam height, dam reservoir capacity, final depth of the breach and water depth above the bottom of the breach during outburst, and constructing a new earth and rockfill dam outburst parameter prediction model considering different dam types and outburst modes. Compared with 20 groups of typical parameter models existing at home and abroad, the calculation result shows that the root mean square error (Erms) and the correlation coefficient (R2) of the provided prediction model are 0.38 and 0.82 respectively, and compared with other models, the model has certain advantages, and the accuracy of the model is verified.

The invention discloses a lithium battery pack equalization method based on an improved Buck-Boost circuit and GSSO optimization fuzzy control, which is used for solving the problems of inconsistent energy and low equalization efficiency in the long-term use process of a series lithium battery pack. The designed improved Buck-Boost equalization circuit adopts an optimized REB-TCM structure, and by optimizing an energy transmission path, the conversion loss is reduced, and the equalization speed is improved. Aiming at the topological structure, the invention provides a dual-value fuzzy control model (DualFLC) which can dynamically select an equalization target according to the state of charge (SOC) of the battery and dynamically adjust an equalization module through a fuzzy strategy so as to improve the equalization efficiency. On the basis, a swarm ensorption hybrid optimization algorithm (GSSO) is introduced for the first time, global optimization is carried out on node positions of fuzzy control input discourse domains, the limitation that traditional fuzzy control depends on experience and subjective judgment on a membership function is overcome, and the performance of a balance system is further improved. The method effectively improves the equalization speed and efficiency, reduces the energy inconsistency between the batteries, and prolongs the service life of the battery pack.

The invention provides an automatic temperature control and acid regulation system for jelly production and a control method. A feed liquid storage tank is connected with a tubular heat exchanger through a feed liquid outlet pipe and a stock solution thermometer, and the tubular heat exchanger is connected with a hot water temperature regulation system for regulating the temperature of feed liquid; a feed liquid flow control valve, a liquid outlet thermometer, a second electromagnetic valve and a first acidity meter are sequentially mounted at a feed liquid outlet of the tubular heat exchanger and then are connected with the mixed acid adjusting equipment; the mixed acid adjusting equipment is connected with an acid supply system for supplying acid liquor; and the outlet of the mixed acid adjusting equipment is connected with the material temporary storage tank through a material flow control valve, a second acidity meter and a fourth electromagnetic valve. The system can accurately control the material temperature during acid adjustment, avoids the influence on the jelly quality due to overhigh temperature, adjusts the acid before filling, accurately controls the pH value of the material and the time point of acid addition, reduces the damage of the acid to the waiting time after the acid addition of the material liquid, stabilizes the product quality, and avoids the inconsistency of the jelly quality in the early stage and the later stage of filling.

The invention provides a method for eliminating interference between channels of a wireless magnetic induction MIMO (Multiple Input Multiple Output) system based on zero-forcing precoding. The method provided by the invention comprises the following steps: firstly, constructing a wireless magnetic induction MIMO communication system, and secondly, carrying out channel estimation on the transmission process of the wireless magnetic induction MIMO communication system to obtain a magnetic induction channel matrix; and performing zero-forcing precoding operation processing on the obtained magnetic induction channel matrix to eliminate mutual inductance interference generated by coupling of different receiving and transmitting coils. According to the method, mutual inductance interference generated by an induced magnetic field between different channels can be eliminated. And when the sending power is greater than 1, the data transmission rate is greatly improved compared with the mode of not adopting the zero-forcing precoding. When the sending power reaches 3, the data transmission rate can be increased by about 11%.

The invention discloses an all-solid-state battery and a preparation method thereof, and belongs to the technical field of solid-state batteries. Comprising electrolyte crushing, mixing and coating processes, an acoustic resonance method is used in each process, a final solid electrolyte is obtained, the electrode material is prepared through the acoustic resonance method based on the prepared solid electrolyte, the specific capacity of the electrode material prepared through the acoustic resonance method is improved, and compared with an existing mainstream ball milling process, the specific capacity of the electrode material is greatly improved. And the process time is reduced from several hours to minute level, so that the efficiency of each flow is greatly improved, and the preparation efficiency of the whole all-solid-state battery is further improved.

The invention discloses a crop lodging region grading identification method and system, and the method comprises the steps: obtaining a remote sensing image of crop lodging in a research region, carrying out the preprocessing of the remote sensing image, and carrying out the marking of the preprocessed remote sensing image, and making a data set; establishing a two-stage crop lodging grading monitoring model LHMNet, wherein the two-stage crop lodging grading monitoring model LHMNet comprises an LAR-ResUNet model used for first-stage lodging region identification and an LSC-ResUNet model used for second-stage lodging severity grading of a lodging region identified by the LAR-ResUNet model; the method comprises the following steps: respectively training an LAR-ResUNet model and an LSC-ResUNet model in a crop lodging grading monitoring model LHMNet by adopting data set training to obtain the trained LAR-ResUNet model and the trained LSC-ResUNet model, and then predicting the grading degree of a crop lodging region by adopting the trained crop lodging grading monitoring model LHMNet. According to the method, the lodging region can be clearly and completely extracted from the large region, and meanwhile, the difference of segmentation accuracy of rice with different lodging severity degrees can be reduced.

The invention provides a tumor medical image classification method of zero sample evolution NAS based on double-index collaborative evaluation, which comprises the following steps: collecting tumor medical image data, and constructing a data set containing a tumor focus image and a normal tissue image; constructing an extended search space based on a cell structure, wherein the search space comprises a basic operation set, the cell structure and a network overall structure; steady-state evolution algorithm parameters are set, and steady-state evolution initialization is carried out to obtain an initial candidate architecture; taking a double-index comprehensive score calculated by the information rate and the FIM stability as a comprehensive index for evaluating the current candidate architecture, updating the candidate architecture through a steady-state evolutionary algorithm based on a dynamic optimization mechanism until the maximum evolutionary algebra is reached, and obtaining an optimal architecture; and training the optimal architecture by using the data set, and carrying out tumor medical image classification by using the trained optimal architecture. According to the method, the dependence on the annotated data is reduced, the consumption of computing resources is reduced, and meanwhile, the diagnosis efficiency and accuracy are improved.

The invention discloses an anti-seismic asphalt concrete core wall rock-fill dam and a construction method thereof, and relates to the technical field of water conservancy and hydropower engineering. The invention discloses an anti-seismic asphalt concrete core wall rock-fill dam. Comprising an upstream cofferdam, an upstream rockfill I area, an upstream dry stone revetment, an upstream anti-seismic area, a dam crest structure, a downstream anti-seismic area, an upstream transition area, a downstream transition area, an asphalt concrete core wall, a foundation grouting gallery, foundation consolidation grouting, curtain grouting, a downstream rockfill II area, a downstream rockfill III area, a downstream dry stone revetment, a downstream rockfill I area, a downstream pressure slope body and the like. The construction method of the anti-seismic asphalt concrete core wall rock-fill dam comprises the steps that diversion tunnel and flood discharge tunnel construction is conducted; construction of the closure embankment; upstream and downstream cofferdams are constructed; excavating and constructing a dam foundation; constructing a dam foundation concrete diaphragm wall; consolidation grouting is conducted on the foundation; a foundation grouting gallery is constructed, and an upstream transition area, an asphalt concrete core wall, a downstream transition area, an upstream rockfill I area, a downstream rockfill II area, a downstream rockfill III area and a downstream rockfill I area are constructed.

The invention discloses an efficient hyperspectral image classification method based on deep fusion of multi-scale space and spectral features, and the method comprises the following steps: S1, carrying out the PCA (principal component analysis) and whitening processing of input high-dimensional spectral remote sensing data, so as to reduce the data dimension and extract the original shallow spectral features; s2, adaptively selecting the size of a convolution kernel group according to the scale of the data set; according to the invention, three 3D convolution kernels with different sizes are flexibly selected according to the size of a data set, so that the generalization ability of the model is improved; features of different spatial scales can be effectively extracted, spatial and spectral information in the hyperspectral image can be reserved to the maximum extent, and a complex spatial mode can be identified more accurately; pixel blocks are randomly extracted from an image by using a random function to serve as 3D convolution kernels, convolution is carried out on the 3D convolution kernels and all wave bands of the image, pre-training and fine adjustment are not needed, the characteristics of shallow convolution and deep convolution are combined, and multi-scale and rich space and spectrum characteristics can be effectively extracted.

The present invention discloses a large vehicle anti-collision device, which relates to the field of vehicle protection, including an anti-collision seat, a buffer box and an anti-collision frame; the buffer box includes an anti-collision plate, a bearing tube and a sliding plate; a partition is provided in the middle of the bearing tube, the right side of the partition is connected to the sliding plate, the upper side of the partition is a cavity, and the lower side of the partition is a water cavity; a water pipe is fixed on the sliding plate; a plurality of positioning grooves are provided on the anti-collision seat, and a positioning rod is fixed horizontally in the positioning groove; an anti-collision strip is provided on the left side of the positioning rod; a limiting ring is provided in the middle of the outer peripheral side of the bearing tube, and a plurality of first springs are provided on the right end face of the limiting ring; a telescopic mechanism is provided on the right end face of the bearing tube. The anti-collision performance of the device is improved by providing the anti-collision seat, the buffer box and the anti-collision frame; the energy generated by the collision can be absorbed by providing the water cavity, the water pipe and the positioning rod; the first spring and the telescopic mechanism are used to buffer the impact force on the anti-collision seat and the buffer box, and the limiting ring is used to limit the buffer box when it is reset after the collision.

The invention relates to a screen content image transmission method based on semantic communication, and belongs to the technical field of wireless communication and multimedia transmission. The method comprises the following steps: carrying out information source coding on an input text type screen content image through a coder; the method comprises the following steps of: carrying out weight distribution on code words after source coding through a weight distribution network, so that important semantic features are preferentially transmitted on a high-SNR (Signal to Noise Ratio) subcarrier; channel coding is carried out on the code words after weight distribution, and more transmission power is distributed for high SNR subcarriers in an OFDM (Orthogonal Frequency Division Multiplexing) transmitter; after the OFDM receiver receives the image, the text in the image is detected and recognized through the OCR and the scene text detection model, and the text level confidence coefficient is calculated; and designing a loss function based on the text level confidence, and protecting key text semantic features. According to the invention, the transmission quality of the image is improved, the transmission bandwidth is saved, and the problem that the traditional screen content image coding method is limited by the Shannon limit is solved.

The invention discloses a light optical fiber ground releasing device which comprises an installation support, an optical fiber wire spool arranged at the left end of the installation support and a flexible corrugated guide pipe arranged at the right end of the installation support. One end of the light optical fiber is wound on the surface of the optical fiber wire spool, and the other end of the light optical fiber penetrates through the flexible corrugated conduit. According to the invention, the optical fiber can be effectively prevented from being wound in the laying process, so that the transmission performance of the optical fiber is improved, the construction difficulty and time are reduced, and the optical fiber is mounted on the mounting bracket through a quick release structure, so that the laying and withdrawing of the optical fiber are more convenient and faster, and the laying efficiency of the optical fiber is greatly improved.

The present invention proposes a multi-core processor and a method for centralized cache consistency management thereof, which relates to the field of data processing technology. Data exchange and information access between various components are performed through the connection of a central exchange block, a system main memory and a core module; cache information of each core is recorded through the core module; data read application information is obtained, core data holding information is obtained according to the data read application information, and a core that sends a data read request is converted according to the core data holding information; core update cache demand information is obtained, a cache management unit updates a memory data block, and resets a cache management table. Through a unique central exchange block and high-speed memory design, etc., a more flexible and efficient cache consistency solution is provided, which is suitable for more multi-core processor application scenarios.

This invention discloses a construction method for rotary drilling piles used in water conservancy and hydropower engineering. The method involves setting up a first row and a second row of rotary drilling piles at a predetermined elevation on the river-facing side of the foundation pit. These piles interlock and their tops are flush. A capping beam is also included at the top of the first and second rows of rotary drilling piles, connecting and fixing them into a vertical, closed wall. A diaphragm wall is also installed inside the foundation pit, with one end connected to the solid wall and the other end connected to the bedrock. The interlocking of the two rows of rotary drilling piles, along with the construction of the capping beam and diaphragm wall at the top of the piles, forms a continuous, closed foundation pit protection structure. The entire construction process facilitates the excavation and layout of the outlet retaining wall foundation after the flood season, saves construction time, reduces construction costs, and provides functions such as cofferdam seepage prevention, scour prevention, soil retention, foundation pit protection, and foundation bearing capacity.

The invention provides a method for pretreating sludge by activating sulfite with iron sulfide, and belongs to the technical field of sludge treatment. The method comprises the following steps: firstly, naturally settling sludge to obtain a sludge sample, and then adding iron sulfide and sulfite into the sludge sample for pretreatment. The method for pretreating the sludge by activating the sulfite with the iron sulfide has the advantages that the raw materials are easy to obtain, secondary pollution is avoided and the like, an ideal sludge wall breaking effect can be achieved, more organic substances of intracellular and extracellular polymers in the sludge pretreated by activating the sulfite with the iron sulfide are released and enter a liquid phase, and the sludge can be recycled. Therefore, the overall hydrolytic acidification rate of the sludge is increased, and the purpose of maximizing resource and energy recovery is achieved.

A multi-mode interaction intelligent ward system comprises a voice recognition module, a touch screen module, a gesture recognition module, a face recognition module, a natural language processing module, a computer vision module, a sensor fusion module, a data encryption and access control module and an emotion recognition module. The system also supports a plurality of input modes such as touch, gesture and face recognition, so that the patients with language barrier or mobility difficulty can conveniently interact with the system, the user groups are greatly expanded, and the universality and usability of the system are improved.

The invention discloses a building demand response method based on flexible load response potential evaluation. The building demand response method mainly comprises the following steps: collecting building user energy consumption data and internal and external related influence factors; constructing a space-time diagram convolutional neural network, effectively capturing time sequence dependence characteristics in a sequence by self-correcting diagram node weights, and realizing real-time load decomposition of energy consumption behaviors of building users; the influence of internal and external multi-dimensional environmental factors is considered, and the main flexible load response potential of the user is evaluated; and finally, constructing a system operator-load aggregator double-level price excitation type demand response model. The invention provides a building demand response method based on flexible load response potential evaluation, which can realize building user demand response strategy formulation considering flexible load response characteristic evaluation.

The preparation method comprises the following steps: the hot pulping system is used for completely separating effective medicinal components from non-medicinal components such as fiber lignin in plant traditional Chinese medicinal materials through the procedures of slicing, feeding, steaming, rubbing and splitting, high-concentration hot pulping and pulp-residue separation; the medicine residues which can only become solid wastes in the prior art can be completely turned into useful light industrial materials; the environment-friendly ecological effect is very prominent. Meanwhile, obtaining of very fine traditional Chinese medicine extracts and further processing of novel traditional Chinese medicine preparations become very simple and convenient, and the economical efficiency is greatly improved.

The invention relates to a small and convenient oxygen isotope nuclear reaction target manufacturing process and device, a reaction target lining and a sputtering target material are arranged in a vacuum chamber of a magnetron sputtering target manufacturing device, a sputtering electric field is provided by adopting a radio frequency power supply, and the flow of argon and oxygen filled into the vacuum chamber and the pressure in the vacuum chamber are controlled; the chromium oxide film layer is sputtered on the reaction target lining at a stable rate to form a film, and the oxygen isotope nuclear reaction target is prepared. The content of nitrogen in the chromium oxide film layer prepared by the process is extremely low, the abundance of oxygen isotope reaches 70%, and the applicability of the film layer in nuclear reaction cross section measurement is greatly enhanced. The method has the remarkable advantages of efficient coating, excellent film quality, simplicity and convenience in operation, environment friendliness, energy conservation and the like. The magnetron sputtering device improves the sputtering efficiency and the power efficiency through the synergistic effect of a magnetic field and an electric field, and ensures uniform deposition and strong adhesive force of the film. The device is compact in structure, flexibly adapts to various target materials and process requirements, reduces environmental pollution and conforms to the green production concept.

The present invention relates to a method for detecting non-metallic inclusions in metal materials based on image recognition. The method first performs a magnet adsorption operation on the metal material, obtains feature points of a motion region of the metal material image based on pixel statistics, uses motion position difference as a basic difference feature of the non-metallic inclusion, and extracts instantaneous difference features of the motion state of a material fragment based on the position difference of a difference block between two consecutive frames, thereby detecting abnormalities of the material fragment. The non-metallic inclusion detection method can not only effectively reduce the number of acquired motion feature points to avoid subsequent processing of some meaningless feature points, but also reflect the texture features of a foreground motion region to reflect the distribution of the density of the material fragment, so that the extracted motion feature points are more representative and uniform; both the response speed when detecting the occurrence of non-metallic inclusions and the description of the change in the motion state of the material fragment show outstanding superiority.

The invention relates to a noise suppression power supply system based on underwater large-scale remote signal high-fidelity pickup, the noise suppression power supply system realizes background noise suppression and weak signal detection improvement in a deep and far sea environment, and the noise suppression power supply system comprises a DC / DC module, the DC / DC module is responsible for converting a DC375V high voltage transmitted by a deep sea station battery pack into a working voltage DC24V required by underwater equipment, and providing the working voltage DC24V to an underwater data acquisition circuit of the detection node electronic cabin; an SD50-1M5 module is adopted in the DC / DC module, a power supply is arranged in the SD50-1M5 module, an input filter is designed at the front stage, and a DC / DC converter is arranged at the rear stage; the input end of the input filter is provided with a silicon carbide diode, an input capacitor and an input protector. Compared with an existing mainstream power supply and transmission system, the noise suppression power supply system has obvious superiority in background noise suppression and weak signal detection capability.

The invention relates to a ginseng nourishing honey paste based on a hot pulping system and a preparation method thereof. According to the hot pulping system, effective medicinal components and non-medicinal components such as fiber lignin in plant traditional Chinese medicinal materials are completely separated through the procedures of slicing, feeding, steaming, rubbing and separating, high-concentration hot pulping and pulp-residue separation, and in the prior art, medicine residues which can only become solid waste can be completely turned into wealth and become useful light industrial materials; the environment-friendly ecological effect is very prominent. The further processing of the traditional Chinese medicine preparation is very simple, and the economical efficiency is greatly improved.

The utility model relates to a laminated cell pole piece structure, which comprises a foil material area, a coating area and a laser scribed line area, the coating area is used for uniformly coating a part of the foil material area, the laser scribed line area is distributed on the coating area, a plurality of laser scribed lines are arranged on the laser scribed line area to form a nick structure of a pole piece, the width of each laser scribed line is 50-200 microns, the depth of each laser scribed line is 10-30 microns, and the thickness of each laser scribed line is 10-30 microns. And the distance between the scribed lines is 1-3mm. According to the utility model, the wettability, heat dissipation and cyclic expansion performance of the pole piece of the laminated battery can be effectively improved, other performance and appearance of the battery cannot be influenced, meanwhile, the problem of powder falling of the scribed pole piece can be effectively solved, the stability of the laminated battery is improved, and the laminated battery has remarkable superiority.

The utility model provides a tensioning type gear groove milling clamp and belongs to the field of gear machining device.The tensioning type gear groove milling clamp comprises a base and further comprises a first inner hexagon bolt and a second inner hexagon bolt, a positioning seat is fastened to the base through the second inner hexagon bolt, and a platform used for supporting the bottom end of a gear is fastened to the positioning seat through the second inner hexagon bolt; the positioning seat is sleeved with an expansion sleeve used for being matched with an inner hole of the gear, a shoulder nut is arranged above the expansion sleeve, the shoulder nut is in threaded connection with the upper end of the positioning seat, and the shoulder nut tightly presses the expansion sleeve above the platform. The groove milling clamp is simple and clear in principle, economical and practical, has obvious superiority in practicability and is very easy to popularize and use, the positioning accuracy of the gear and the tool can be improved to a great extent by using the clamp, and the situation that the positioning accuracy error of the gear and the tool is large due to the fact that the fit clearance between the inner hole of the gear and the tool is too large is avoided.