1481results about How to "Guaranteed practicality" patented technology

The invention discloses a brain-computer interface system based on an atom magnetometer, and a use method thereof. The invention combines the work characteristics of the atom magnetometer to design abrain magnetic cap and a magnetic shielding device with practicality; a scheme of separating an atom magnetometer probe from a light source is adopted to improve a system integration level; system probability is intensified; a brain magnetic signal processing process capable of greatly improving operation speed and reducing processing process complexity; and for scenes which may be applied by thesystem, a feasible commutation and peripheral support system is given. By use of the brain-computer interface system provided by the invention, the control of a local and remote application system isfinished conveniently through the brain magnetic signal, and the system owns practicality and good expansion performance.

The invention discloses a self-learning method and device for a customer service robot. The method comprises the following steps: receiving a user message from a user terminal; retrieving a knowledge base according to the user message, selecting an optimal answer according to public preference weight values of retrieval results, and returning the optimal answer to the user terminal; after the optimal answer is returned to the user terminal, transmitting a satisfaction survey message to the user terminal; receiving a satisfaction reply message from the user terminal, recalculating a public preference weight value of the optimal answer according to the satisfaction reply message, and updating the knowledge base. According to the method and the device, user satisfaction is surveyed after the optimal answer is returned to a user, and the knowledge base is updated according to the feedback information of the user, so that the optimal answer can be provided for each user as far as possible, and the practicability of the knowledge base can be ensured.

The invention provides an intrusion detection method and an intrusion detection system for an industrial control system based on a communication model. The accuracy of intrusion detection is improved to the maximum degree while the practicability is guaranteed. The intrusion detection method comprises the steps of firstly establishing a communication model and communication rules of the industrial control system, wherein the communication model comprises node information and communication connection information; generating a legal communication rule set on the basis of the communication model after the communication model of the industrial control system is established, learning in an installation and debugging stage and a stage before an attack happens of the industrial control system, and establishing a communication model and a communication rule set; then deploying detectors in an industrial control network, capturing a datagram, analyzing and extracting the communication connection information through the datagram, comparing the communication connection information with the generated legal communication rule set, and giving out an alarm when communication connection which violates the legal communication rule set exists; and calling a system response module to adopt corresponding response strategies if intrusion is discovered, and carrying out analysis and learning again if actual detection is wrong.

The invention relates to an NFC antenna structure for a metal back cover mobile phone. An NFC antenna with a coil form is arranged in a metal back cover of a mobile phone. The metal back cover of the mobile phone is provided with a concave groove used for blocking a vertex of the metal back cover of the mobile phone and a hole used for arranging a camera. The NFC antenna communicates with an external reader-writer antenna via the concave groove and the hole based on magnetic field coupling. The NFC antenna comprises an NFC coil and a ferrite magnetic sheet. The concave groove starts at one side of the metal back cover of the mobile phone and ends at the opposite side of the metal back cover of the mobile phone. The concave groove comprises two transverse grooves and two vertical grooves. The NFC antenna employs the opening for arranging the camera in the metal back cover of the mobile phone for radiation and the metal back cover of the mobile phone is provided with the concave groove, so that the vortex of the metal back cover is prevented from causing magnetic field interference to the NFC antenna and the excellent electrical performance of the NFC antenna and the reader-writer can be guaranteed during work.

The invention discloses a travel time fusion prediction and query method based on traffic big data, and the method comprises the steps: carrying out the offline calculation or training of data uploaded by all online vehicles to obtain various types of prediction models and parameters, and building and dynamically updating a data dictionary according to the prediction models and parameters; carrying out the call of the prediction models and parameters, and carrying out the prediction of the traffic state of a road network or a single vehicle through combining the real-time travel time data of a road segment and a path, wherein the data dictionary comprises a vehicle data dictionary, a road segment data dictionary and a path data dictionary, and the online vehicles are the vehicles which are registered to access to the network and automatically upload positioning and speed data. The beneficial effects of the invention are that the method solves problems that a road network or single vehicle traffic state prediction method in the prior art is poorer in instantaneity, universality and practicality, greatly improves the measurement precision, greatly improves the online prediction precision, and guarantees the instantaneity, practicality and universality in engineering application.

The invention discloses phase-change heat-insulation interior wall coating, which is characterized by comprising elastic emulsion, water, dispersing agent, wetting agent, thickener, antiseptic, hollow polyurethane microspheres, nano titanium dioxide and non-transparent polymers, wherein the hollow polyurethane microspheres wrap polyethylene glycol with the molecular weight ranging from 1000-2000. The temperature can be regulated by making full use that the polyethylene glycol generates phase change at the different temperatures to result in physical changes of heat release and heat absorption, light reflection of the nano titanium dioxide plays a role in radiation and heat insulation, and a conductivity coefficient is decreased in the presence of the hollow swelling microspheres and the non-transparent polymers. The phase-change heat-insulation interior wall coating is particularly suitable for indoor external layers by combining the three heat-insulation mechanisms of phase change, radiation and conductivity.

The invention relates to a ship intelligent control system test platform with virtual and real fusion. The ship intelligent control system test platform with virtual and real fusion comprises a real navigation database, a real-time simulation system for generating a numerical twinning fused traffic scene according to data in the real navigation database, a ship simulation system for simulating a ship in the test scene, and a tested intelligent control system for controlling and simulating the ship according to the data provided by the ship simulation system. The experimental environment constructed by the ship intelligent control system test platform with virtual and real fusion disclosed by the invention comes from real data collection, which ensures the validity of the test; and the based object experimental ship and experimental process are still based on numerical simulation, which reduces the risk and cost of the test; that is, the experimental object ship is based on numerical simulation, and the experimental scene completely comes from the perception fusion of the real world.

The invention relates to a configuration method and device for realizing equipment linkage as well as an equipment linkage control method and device. The configuration method for realizing equipment linkage comprises the following steps that a client obtains a trigger equipment set and a controlled equipment set in a constructed linkage virtual scene; the trigger equipment set obtains designated trigger equipment and configures a triggering mode of the designated trigger equipment in the equipment linkage; and designated controlled equipment linked with the designated trigger equipment is determined from the controlled equipment set, and a control instruction is configured for the designated controlled equipment, so that the designated controlled equipment executes corresponding actions inthe equipment linkage according to the control instruction; and linkage configuration information is generated according to the triggering mode configured by the designated trigger equipment and thecontrol command configured by the designated controlled equipment, and the linkage configuration information is forwarded to a gateway by a server. By the adoption of the devices and the methods, a problem that the practicability of equipment linkage is poor in the prior art is solved.

The invention relates to a road-net ultimate capacity determination method based on pressure measurement, which belongs to the field of road-net traffic capacity control techniques and which is characterized in that: the method comprises the following steps of adopting the observation network of a computer to collect the traffic parameters of a road net; adopting a macroscopic traffic simulation and planning software Cube and a geographic information system software ArcGIS to generate road-net files and initial values of pressure measurement in the computer; adopting the software Cube to generate a pressure measurement model which performs the pressure measurement in a preset measurement period; calculating the road-net average saturation and the road-net average velocity; comparing the two calculated valves to the preset index values of the road-net average saturation and the road-net average velocity; judging whether the calculated valves meet the preset requirements; and if either fails, increasing the road-net traffic capacity and continuing the pressure measurement until both meet the requirement; and determining the road-net traffic capacity at the time as the road-net ultimate capacity. The road-net ultimate capacity determination method increases the calculation accuracy, reliability and efficiency and fills the blank of determining the road-net ultimate capacity based on pressure measurement.

The object of the invention is to solve the existing problems and provide an angle-adjustable pruning and picking device. The angle-adjustable pruning and picking device comprises a cutter head mechanism, a rotary mechanism, an operating mechanism and a taking-up mechanism, wherein the cutter head mechanism and the rotary mechanism are arranged at the front end of a cutter bar, and the operating mechanism and the taking-up mechanism are arranged at the rear end of the cutter bar; and a rotation auxiliary mechanism is arranged between the rotary mechanism and the operating mechanism. According to the angle-adjustable pruning and picking device, the angle of a cutter blade of the pruning device can be adjusted, the cutter blade and an object to be pruned can always be in a horizontal shearing state during pruning, branches and leaves of high-altitude or low-altitude flowers, plants and trees can be pruned smoothly, and the device can also be used for picking high-altitude fruits.

The invention aims at providing an effective dynamic dispatching mechanism for shop dispatching operation directing at multi-species variable volume production environment, thus completing production dispatching scheme determination and optimization under the disturbance of shop production. The method is based on analysis of the existing shop disturbance event, an event-driven fast response mechanism is established, guiding of dispatching scheme on production field is ensured by dynamic dispatching on disturbance event driving, four basic processing methods are utilized, different combination of process movement, process cancel, process addition and process insertion are utilized to deal with massive and different disturbance events from a scheduled task layer, a production technology layer, a material resource layer and a production execution layer, modular processing is realized, and meanwhile the scheme can make the best of experience of dispatching personnel by virtue of human-machine interaction mechanism, causes the optimized scheme to be more corresponding to shop production habit and improves the applicability of the dispatching scheme.

The invention provides a real-time precision single-point positioning based satellite navigation device and method. A satellite navigation receiver receives satellite signals, performs down-conversionand sends into an intermediate-frequency signal preprocessing unit to complete A / D conversion, and the digital intermediate-frequency signals subjected to interference suppression are sent into a baseband signal processing unit for signal capturing and tracking to complete original observation data extraction and original navigation message demodulation. A master control unit comprehensively processes original observation data and navigation messages to obtain observation data and broadcast ephemeris through analysis; in addition, IGS center satellite orbit parameters and satellite clock errors are acquired in real time through the network, performing data preprocessing, space-time datum unifying and positioning model establishment, adopting a Kalman filter method for real-time precisionpositioning, storing a positioning result, and transmitting to a display control unit to display. The device and the method have advantages that cost saving is realized, operating efficiency can be improved, distance restraining is avoided, and independent completeness and precision of a positioning system can be remarkably improved.

The invention provides an evaluation method and an evaluation system for evaluating the performance of a high-capacity battery energy storage system. The method for evaluating the performance of the high-capacity battery energy storage system comprises the steps of sequentially evaluating the performance of each battery pack in the energy storage system, and then performing corresponding debugging on the battery pack according to the evaluation result, wherein the performance evaluation of the battery pack is determined with a fuzzy relation matrix established according to grade and evaluation indexes and the weight of each evaluation index as a maximum membership degree. The evaluation system comprises a data acquisition module, a performance index calculation module, a fuzzy relation matrix calculation module and an evaluation matrix calculation module which are connected in sequence. Compared with the prior art, based on the evaluation method and the evaluation system, the consistency performance of the high-capacity battery energy storage system is comprehensively evaluated. Evaluation data are derived from the historical operating data of a battery during operation. The normal operation of the battery energy storage system is not influenced at all. Meanwhile, the implementation is convenient, and the flexibility is high.

The invention relates to a rule and learning model-based highway leaving method for driverless cars. The method comprises the steps of: in a process that a driverless car runs on a highway, generatingan off-ramp motivation at a distance before a ramp according to a navigation system, trying to get off the ramp by utilizing a rule model, judging whether off-ramp decided by a rule-based decision making model reduces the success rate or not, if the judging result is negative, adopting an action decided by the rule model, and otherwise, entering the next step; and establishing a rule and reinforcement learning mixed hybrid decision making model and a training method thereof on the basis of a framework of reinforcement learning, wherein the hybrid decision model is capable of adopting a rule model for running when being far away from the ramp, and utilizing the reinforcement learning decision making model to adjust the vehicle action according to off-ramp urgency in the process of drivingto the ramp. The method is capable of enhancing the running efficiency and stability of driverless cars in the off-ramp process, and realizing efficient and high-stability off-ramp decision making ofdriverless cars under the condition that the perception range is limited and the environment vehicles are difficult to predict.

The invention discloses a face recognition method by an independent component analysis based on a multi-scale total variational derivative image, which belongs to the face recognition technical field; the method is as follows: a contrast gradient is strengthened; TV-L<1> is used to carry out scale decomposition to a face image to obtain a large-scale image comprising a skeleton contour and muscle information and a small-scale image comprising the details of mouth, eyes and nose; quotient balance is carried out to the small-scale image to obtain the feature of unchanged illumination; feature fusion technology is selected to fuse the features of large scale and unchanged illumination into a new face image; Gabor is used to analyze and extract the features of the new face image in a specific scale and direction to generate a multi-scale Gabor face; the eigenvectors of all the samples are extracted by an information maximization independent component analysis algorithm; the similarity of the eigenvectors of the face which is to be treated with recognizing is calculated by the eigenvectors of the known face; according to the similarity, the eigenvectors are sorted to acquire a final recognition result. The face recognition method achieves high recognition rate and strong robustness to illumination, expression, make-up and other external interference.

The invention discloses a method for evaluating the cost performance of the coking coal. The method comprises the steps that: the quality index base values and the quality evaluation standard are set according to the coal types, and the quality index base values are set parameter values for essentially meeting the coke quality requirement; and the actual values of the known quality indexes are compared with the quality index base values of the quality indexes, the scores of the actual values of the quality indexes corresponding to the quality index base values of the quality indexes are obtained according to the quality evaluating standard, a total score of the quality indexes is obtained by the scores, and then the coal price is compared with the total score of the quality indexes so as to obtain the cost performance parameters of the coals, and the cost performance of the coking coal is reflected by the comparison of the cost performance parameters. Compared with the prior art, the method for evaluating the cost performance of the coking coal provided by the invention is simple to operate and easy to implement, and the evaluating way is intuitive and clear, the evaluating result is accurate and objective, so that adjustment can be carried out according to the actual conditions. The method for evaluating the cost performance of the coking coal provided by the invention is suitable for the quality evaluation of the single coal and the blended coal.

The invention discloses a topological structure data model applicable for a regional highway and a test method and several path calculation methods thereof. The topological structure data model of the highway network is an organic interconnected whole consisting of a global road network layer, a global line path, a local line layer, a turning layer, an element layer and a pile number layer; and the topological test method mainly carries out the test on the element layer of the highway network, connecting information, correlation information, position information, type information and communicated information of the turning layer; and a path generation algorithm comprises a tuning layer path generation algorithm, a parallel path generation algorithm and a perfect information inducing path calculation method. The invention organically associates the highway network topological structure with highway facility, traffic control, traffic status and other information elements and the highway network topology, the topological structure test ensures the correctness, the effectiveness and the practicability of a road network modeling; and by the generation of a plurality of alternative paths and a perfect information inducing path, the precision and the accuracy of the path induction can be improved.

The invention provides a cutter matching method for a machining process. A selective range of cutters to be matched is gradually decreased according to different characteristics of parts to be machined to obtain multiple cutters to be selected satisfying part processing requirements; and then, a final cutter is selected through calculating a carbon emission. The matching method is clear in steps and definite in levels, can reduce the cutter matching complexity, and can improve the reasoning efficiency and the accuracy of cutter matching. As the carbon emission in the machining process is introduced into a cutter matching scheme evaluation as a final selecting standard of the cutters to be matched, on the one hand, the finally matched cutter scheme is closer to actual production requirements to guarantee the matching result practicability, and on the other hand, the control of energy consumption of a workshop production system and the control of the carbon emission in the machining process are realized to a certain extent to improve the green degree of the whole system and to provide the reference for the realization of efficient cutter selection, energy conservation and emission reduction in the machining process.

The invention provides an AVO inversion hydrocarbon detection method based on petrographic constraints, and pertains to the field of fluid detection. The method comprises the following steps: (1) the elastic parameter distribution characteristic statistics is performed; (2) the Monte Carlo emulation stochastic simulation is performed; (3) pre-stack channel set pretreatment is performed on a pre-stack seismic channel set to obtain a pre-treated pre-stack channel set; (4) an incident angle channel set is formed; (5) and the optimal AVO inversion restrained by prior information is realized. The method of the invention has advantages of higher accuracy and larger application range than a conventional AVO equation, so the method of the invention is more suitable for the fluid property detection in large incident angle and strong reflecting interface conditions, and the fluid prediction accuracy can be improved.

The invention discloses a middle and small bridge fast detecting method based on a long-scale-distance optical fiber strain sensor. The method includes: arranging the long-scale-distance optical fiber strain sensor on the surface of the main stress component of a middle and small bridge, loading impact force to perform impact excitation on a bridge deck, and by the optical fiber senor, recording the time course data of bridge dynamic strain during impact excitation and recording the time course data of the impact force at the same time; identifying to obtain the structural strain flexibility matrix in the structural strain flexibility according to the obtained time course data of bridge dynamic strain and the impact force. The method has the advantages that the method is different from processing methods, which mainly aims at acceleration data, in documents, the method aims at the measured long-scale-distance dynamic strain and specifically researches strain flexibility identification based on long-scale-distance strain measuring, structural strain flexibility can be identified by measuring long-scale-distance dynamic strain under impact vibration so as to perform structural safety evaluation, and the method is the first method aiming at strain flexibility identification in China.

The invention belongs to the technical field of land crop planting and discloses a land crop planting suitability evaluation method. The method comprises steps: data in a database are displayed according to a user query condition and a statistical chart is then generated according to a chart type specified by a user, wherein selectable chart types comprise a broken line chart, a column chart and a pie chart; a vector layer and an image layer are built newly; roaming, zoom in, zoom out, full chart and management on layer display attribute data are realized; data are modified; a multiple linear regression analysis method and a stepwise regression analysis method are adopted; data gridding and gridding of an evaluation area are carried out; according to a specified cultivated variety, based on biological characteristics, the evaluation standard is determined, a scientific method is applied, the data are analyzed and estimated, and a professional suggestion is given; and a calculation result through processing and analysis is outputted. The method of the invention has a high-efficiency massive data management ability, and an important role is played in guiding adjustment and layout of an agricultural production structure.

The invention provides a conversion state estimation method of equivalent voltage measurement taking PMU into account. Aiming at the characteristics of measurement data of a supervision control and data acquisition (SCADA) system and a wide-area measurement system (WAMS), the invention provides the conversion state estimation of equivalent voltage measurement taking a phasor measurement unit (PMU) into account. By utilizing a measurement conversion method, the invention converses various measurements under the SCADA system and the WAMS into equivalent voltage measurement and obtains an information matrix of constant real numbers by simplification treatment, thus realizing the decoupling calculation of a real component and an imaginary component of nodal voltage. The estimation method is characterized by fast calculation speed and overcomes the defect that the traditional conversion state estimate of measurement only can treat power measurement of a single circuit branch. An IEEE-30 node system verifies the effectiveness of the provided method.

The present invention discloses a multiple human-targets location and tracking method based on multichannel phase comparison location. The method comprises: based on a linear frequency modulation continuous wave radar system of single input multiple output, employing the moving target indication and de-mean method to perform preprocessing of experiment data and perform diploid interpolation refinement distance dimension windowing Fourier transform of each period of the echo data so as to obtain object distance information according to the distance spectrum of an object; obtaining the object distance information according to the object distance; extracting the phase information corresponding to the target from the peak value where a frequency spectrum object is located; fusing the phase information of different receiving channels, calculating the phase differences among different receiving channels, calculating the azimuth or the pitch angle of the object, and combining the object distance information to calculate the location result of the object at a two-dimensional plane or a three-dimensional plane; and finally, employing the Kalman filtering method to realize the tracking of the target. The multiple human-targets location and tracking method based on the multichannel phase comparison location can perform detection, location and tracking of a plurality of human body objects indoors and outdoors so as to effectively reject multiple paths while keeping the target and perform accurate location of the object.

The invention discloses an energy system optimization scheduling method based on multi-working-condition equipment operation. The method comprises the following steps of acquiring an iron and steel enterprise energy system network topology structure, schedulable key equipment information, the historical data of energy production consumption and a corresponding production condition; according to the historical data of the energy production consumption and the corresponding condition, constructing a data set and training a BP neuron network; identifying a current production condition and combining a future period production and a maintenance plan to obtain energy supply and demand data and a unbalanced energy amount of an energy system in a future scheduling period; pre-establishing an equipment unit mathematical model; combining a current condition constraint condition and an unit mathematical model, and using a mixed integer nonlinear programming method to establish an economic operating cost EOC function; and solving an optimal solution and acquiring a distribution scheme. By using the method, aiming at real-time production data, an optimization scheduling scheme is acquired, a single energy medium adjusting defect is overcome, and the energy efficiency and the benefits of a system are comprehensively increased.

The invention discloses a method for easing distributed denial of service attacks, which solves the defects in the prior detection or defense technologies. The method provided by the invention comprises the following steps of: presetting a group of regional scope presented by an IP (Internet Protocol) address block, and a threshold of the number of messages of a protocol type or a message property allowed by each sub-region in the regional scope; when receiving one message of the corresponding protocol type or message property, searching the sub-region to which the message belongs according to a source IP address; if a cv (current value) of the number of the messages of the protocol type or message property corresponding to the sub-region to which the message belongs is more than 0, subtracting 1 from the cv, and further processing the received messages regularly according to the protocol type or message property; if the cv is equal to 0, or directly discarding the messages or discarding the messages after recording related information of the messages; aiming at the request on easing different types of distributed denial of service attacks, concurrently executing different recovery processing for the cv of the number of the messages of the corresponding protocol type or message property in corresponding sub-region within a given scope. The method is used in an IP network.

The invention provides a fire identification method based on multiple-feature fusion for flames, and develops a fire identification system with multiple-feature fusion for flames according to the algorithm of the method. The operation principle is to call the camera video monitoring images through the system, and use the background detection algorithm of the system to process the images. The method comprises the following steps of: combining screening of motion fire pixels through motion detection and screening of flame color pixels through RGB color model as an image preprocessing module, wherein the detection calculation based on the inter-frame difference method is fast and does not contain complex calculations, and it is not necessary to consider factor changes such as darkness since the requirements for environment are not high, and the adopted RGB / HIS color model is reasonably stable; characterizing the flames by the number of flame pixels, the convex hulls and the cusps according to the smoke of the flame, the area change, and the features of shape change; combining mature support vector machines for verification; and issuing an alarm when all the above conditions are met. The fire identification method based on multiple-feature fusion for flames can be applied to a real-time camera monitoring system for public security and so on.

The invention discloses an information processing method and electronic equipment. The information processing method is applied to the electronic equipment which comprises a flexible screen. The electronic equipment is provided with a clock application program. The method comprises the steps: detecting and obtaining a first deformation parameter of the flexible screen; determining a first clock instruction corresponding to the first deformation parameter based on the corresponding relationship between the deformation parameter and the clock instruction; executing the first clock instruction so that the electronic equipment can execute a first operation which is relevant with the clock application program and is corresponding to the first clock instruction.

The invention provides a taxi passenger carrying site selection method and a system. The method comprises steps: taxi driving data corresponding to a pre-selected closed region are acquired; the closed region is uniformly divided into multiple basic grids; according to the driving data, a taxi stopping number in each basic grid is acquired; basic grids whose taxi stopping numbers are larger than a preset stopping number threshold are marked; the marked basic grids and map data are matched; and POI points matched with the marked basic grids in the map data are selected to serve as taxi passenger carrying site. Driving data serve as a reference to dynamically select the taxi passenger carrying sites, and scientific decision making, prediction analysis and technical support are provided for taxi taking, traffic planning and path navigation.

The invention relates to a bar code image exposure judgment system and method based on a CMOS. An exposure parameter template is established, and according to sensitometric characteristics, measurement statistics is carried out on a relationship between image brightness output on the CMOS and a digital gain, an analog gain and an exposure value. The numerical relationship between the brightness output and the digital gain, the analog gain and the exposure value is qualitatively analyzed, and by initial quantities and variables of such three exposure parameters, a parameter calculation formula is established. Iterative conversion calculation is sequentially carried out to carry out N times of regulation so as to rapidly achieve expected image brightness. The method effectively solves the problem that in the prior art, exposure control (a fixed exposure gain and exposure value compensation) is carried out by a fixed step length, so that in a case that a moving object rapidly moves or environment light is suddenly dark and suddenly bright, light intensity variation is large and an image cannot be rapidly exposed to obtain rich details. By related indexes such as foreground brightness, background brightness, a contrast ratio and the like, image quality is scored so as to effectively guarantee to regulate accuracy and practicality of generated exposure parameters.

The invention relates to an electric locomotive roof assembly and welding tool, which comprises an integral frame, a gantry and a cylinder, wherein the integral frame consists of a reinforcing ribbed plate, a main beam, an edge beam, a bottom plate and a side wall board; the side wall board and the bottom plate form an inclination angle; a sliding track for mounting the gantry is arranged outside the side wall board; the gantry is provided with a movable cylinder fixing frame and is used for eliminating welding gap between an aluminum plate and the frame to guarantee welding quality; and the effect of reducing welding deformation is reduced by forming rigid fixing force for the aluminum plate and the frame. Side wall pressing cantilevers are uniformly distributed outside the edge beam; and the reinforcing ribbed plate is provided with a positioner connecting pipe. The interference between a product and the tool is eliminated in a movable pressing and fixed pressing combined mode, so that all products can be welded on the tool at one time. The working efficiency is increased. All positioning devices are used for quick and accurate positioning. The stability of the tool is effectively guaranteed, and the product quality requirements are met.