2686results about How to "Reduce complexity" patented technology

The embodiment of the invention discloses a 4K splicing processor and a 4K splicing display system. The 4K splicing processor comprises a driving circuit used for processing a 4K resolution signal, the driving circuit comprises an FPGA chip U5, TVS array chips U10, U11, U12 and U13 and DP signal line connectors CN9 and CN10; the model of the U5 is Spartan-6, the models of the U10, the U11, the U12 and the U13 are all RClamp0524P, the CN9 is connected with the U5 through the U10 and the U11, and the CN10 is connected with the U5 through the U12 and the U13; the U5 receives the input 4K resolution signal through the CN9 to process the 4K resolution signal and outputs the processed 4K resolution signal through the CN10 to achieve 4K resolution signal looping. According to the 4K splicing processor and the 4K splicing display system, the problem that 4K splicing display system equipment is complex is solved.

The invention discloses a multi-modal sensor abstract description and packaging method and system based on software definition. Firstly, a unified sensor abstract description model based on software definition is introduced, so that hardware independence is realized, and the differences of a bottom-layer multi-mode sensor in the aspects of interfaces, protocols and data formats can be effectively shielded; secondly, abstract packaging of data is achieved through an autonomous information processing module, and high-bandwidth and high-redundancy original data is converted into low-bandwidth and high-value structured information; in addition, by means of automatic registration, discovery, scheduling and control mechanisms of the sensor management control module on sensor resources, the system realizes a real plug-and-play function. According to the invention, by deploying the autonomous information processing modules at various sensor nodes, the original sensing data is preprocessed, and standardized data packaging with semantic consistency is output, so that the operation load of the central controller is reduced, and the information processing efficiency and the system response capability are also improved.

This invention discloses an adaptive wave-absorbing and flow-guiding device for aero-engines, comprising a casing made of wave-absorbing composite material, a wave-absorbing inner ring concentrically arranged with the casing, multiple adjustable wave-absorbing blades distributed circumferentially along the casing, a conical fairing disposed at the leading edge of the wave-absorbing inner ring, and an actuation mechanism. The adjustable wave-absorbing blades include an adjustable leading edge made of metal and an adjustable trailing portion made of wave-absorbing composite material. The leading edge of the adjustable wave-absorbing blade is fixedly disposed between the casing and the wave-absorbing inner ring, while the trailing portion is movably disposed between the casing and the wave-absorbing inner ring. The actuation mechanism is used to adjust the angle between the trailing portion of the adjustable wave-absorbing blade and the incoming flow. This adaptive wave-absorbing and flow-guiding device for aero-engines achieves the dual functions of regulating the inlet airflow and wave-absorbing efficiency, reducing the complexity of the aero-engine system and thus improving its operational reliability.

The embodiment of the invention discloses a malignant load identification method, device and equipment, a medium and a program product, and relates to the technical field of power load monitoring. The method comprises the following steps: performing modal decomposition on an original power utilization sequential sequence to obtain a plurality of intrinsic mode components, and reconstructing intrinsic mode components which do not belong to noise components to obtain a target power utilization sequential sequence; performing feature extraction on the target power consumption time sequence to obtain target power consumption features, and inputting the target power consumption features into a pre-trained malignant load identification model for identification to obtain an identification result; the malignant load identification model is obtained by updating model parameters of a weak learner based on a natural gradient descent method and performing training optimization. The lightweight malignant load learning model obtained through training in the scheme can be deployed and operated on the intelligent electric meter, high-quality input features are obtained through multi-mode decomposition and reconstruction, the accuracy of malignant load recognition is improved, and accurate recognition of the malignant load based on the lightweight model is achieved.

The invention provides a precise and small broadband hyperspectral imager, which is used for solving the technical problem that the existing broadband spectral imager from visible near-infrared to short-wave infrared for sceneries cannot meet the increasingly harsh imaging requirements. According to the small broadband hyperspectral imager, the front optical assembly of an off-axis two-reflection structure and the spectrometer assembly in a free-form surface reflector, optical path multiplexing and axis folding mode are adopted, the number of used lenses is greatly reduced, meanwhile, the length of a spectrometer is effectively reduced, and the imaging precision is improved. The volume and the weight of the spectral imager are greatly reduced; besides, front surfaces and rear surfaces of a first lens and a second lens in the spectrometer assembly are plated with broadband antireflection films from visible near-infrared to short-wave infrared according to light angles, and broadband detection from visible near-infrared to short-wave infrared can be realized in combination with a broadband refrigeration type detector. And the complexity and the installation and adjustment difficulty of the detector assembly and the circuit assembly are greatly reduced.

The invention discloses a permission matching method and device, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-matched path; performing permission rule matching on the to-be-matched path based on a pre-constructed permission rule tree; when the permission rule in the permission rule tree is matched, determining a corresponding rule control permission based on the permission rule, and obtaining a permission matching result of the to-be-matched path; and when the permission rule in the permission rule tree is not matched, determining a preset default control permission as a permission matching result of the to-be-matched path. According to the method, the accurate child nodes, the single-wildcard child nodes and the multi-wildcard child nodes are integrated through the permission rule tree of the single tree structure, common permission matching scenes such as accurate matching, single-segment wildcard matching and cross-multi-segment wildcard matching can be covered without introducing a regular expression, the integrity of the expression ability is guaranteed, the implementation complexity is reduced, and the implementation efficiency is improved. And the system stability is improved. And meanwhile, the problem of matching logic confusion caused by traditional multi-rule scattered storage is avoided.

The utility model relates to the technical field of agricultural machinery transmission system detection, and discloses an agricultural machinery transmission system intelligent running-in table which comprises an installation platform, a main power assembly is arranged on the rear side of the upper end of the installation platform, and a running-in tool is arranged in front of the output end of the main power assembly. A left loading assembly and a right loading assembly are arranged on the left side and the right side of the running-in tool respectively, a transmission axle to be tested is arranged on the running-in tool to be supported, the main power assembly is in transmission connection with the power input end of the transmission axle, and the two output ends of the transmission axle are in transmission connection with the left loading assembly and the right loading assembly respectively. According to the utility model, through the automatic design of the main power assembly, the left loading assembly and the right loading assembly, the full-process automatic operation from axle installation, power input to loading test is realized, and the main power assembly is driven by the first driving motor, the first gear and the first rack plate to automatically complete the butt joint with the input end of the axle. And the complexity and the time cost of manual operation are greatly reduced.

The embodiment of the invention provides a single-bus communication method and device, a chip and a medium, and the method comprises the steps: enabling a host to enter an initialization mode after the host confirms that an internal power supply and a clock of a slave are stable; the host sends a wake-up code to the slave within a set time to wake up the slave, and releases the bus to enter a normal communication mode; the host sends a communication signal to the slave through the improved communication frame; after the host receives a response signal of the slave, the host releases the bus, the bus is pulled to a high level from an external pull-up resistor, and the transmission is ended; wherein the format of the improved communication frame comprises ten codes, one code corresponds to one bit, and the ten codes sequentially comprise one start bit, six address bits, one read-write control bit, one data bit and one response bit. A wake-up code is set before communication between the host and the slave, so that the slave is prevented from being mistakenly waken up. According to the communication mode, the coding mode is simplified, the chip area is reduced, and the transmission speed of the chip is also improved.

The utility model discloses an egg conveying device, relates to egg conveying field, including frame, drive unit and N egg support, said frame includes feed box, discharge box and support base, the support base is fixedly equipped with two parallel vertical plate, the lower section of vertical plate is provided with two chute, the outside of chute is provided with L-shaped adjusting seat, and the L-shaped adjusting seat is provided with the feed box, discharge box and support base. The feeding box is connected with the henhouse egg belt, the discharging box is connected with the egg collecting conveying line, an integrated path of egg tray picking, continuous conveying and accurate discharging is constructed, 2-3 times of transfer links of traditional sectional conveying are reduced, on one hand, the occupied area of equipment is reduced, no additional connecting mechanism is needed, and the production cost is reduced. The installation and debugging complexity and fault points are reduced, and on the other hand, the collision risk caused by repeated transfer of eggs is avoided.

The invention relates to the technical field of network acceleration, and discloses an edge-end large language model reasoning acceleration method and accelerator, and the method comprises the following steps: reconstructing a calculation process of a decoding stage, and carrying out the deep fusion of a multi-head attention mechanism and the calculation operation of a feedforward network; the weight and key value data are stored in HBM, and the coefficient and the accumulated attention score are stored in DDR; for linear matrix calculation, a unified matrix calculation unit is used for executing multi-precision matrix operation; for nonlinear function calculation, a mathematical transformation and linear fitting method is adopted, a Softmax function is converted into operation with 2 as the bottom through a bottom conversion formula, and truncation and third-order linear fitting are conducted on a Sigmoid function; and constructing a key value screening algorithm based on the accumulated attention score, dynamically adjusting a key value storage position, maintaining a recent key value cache region and an important key value cache region in a limited cache space, and realizing key value efficient cache in long text reasoning.

The invention provides a leaky-wave antenna and a frequency-modulated continuous wave generation method based on the leaky-wave antenna, and relates to the field of millimeter-wave radar, and the method comprises the steps: constructing a space-time coding matrix, configuring a radiation unit state regulation and control beam direction in a space domain, modulating a radiation unit state switching rule in a time domain to generate a frequency-modulated continuous wave, and achieving space-time dual-domain regulation and control. And frequency-modulated continuous waves with controllable bandwidth are generated. The space-time coding leaky-wave antenna is formed by alternately arranging 1-bit radiation units in an upper row and a lower row, switching of radiation / non-radiation states is achieved by loading a synchronous bias PIN diode across an annular gap, a space-time coding matrix is constructed, the states of the radiation units are configured in a space domain to regulate and control the wave beam direction, and the space-time coding leaky-wave antenna is formed. Modulating the switching rule of the radiation unit in a time domain, and generating a frequency-modulated continuous wave; the radiation efficiency is improved by the alternative arrangement of the radiation units, the control difficulty and the hardware cost are reduced, multiple functions are integrated into a single device, and the problem of low integration level of the traditional separation architecture is solved.

The utility model relates to a cleaning head and a cleaning device. The first shifting button part is arranged on the spray head body, when the dust cover needs to be taken down, the first shifting button part is shifted, the first shifting button part abuts against the first clamping part, the first clamping part and the second matching part on the dust cover can be disconnected, and the first clamping part and the first matching part are still kept in the connection state; and the handle and the nozzle main body are still in a connection state. Therefore, the handle and the nozzle body do not need to be reconnected after the dust cover is disassembled, the dust cover is directly assembled after being cleaned, the trouble that the handle needs to be reconnected after the dust cover is disassembled from the nozzle body is avoided, the operation process is simplified, the complexity of subsequent operation is reduced, and the disassembly and assembly efficiency is improved. Meanwhile, the handle and the spray head body do not need to be frequently connected after the dust cover is detached, so that the abrasion risk between the handle and the spray head body is remarkably reduced, the service life of the handle and the service life of the spray head body are prolonged, and the use stability and use reliability of the cleaning head are guaranteed.

The invention discloses a marine main engine cabin entering simulation method and system based on multi-view measurement. The method comprises the following steps: acquiring cabin space depth image information through multiple view angles, constructing cabin environment three-dimensional point cloud data, and unifying multi-view angle point clouds to the same global coordinate system based on camera calibration; performing accurate fusion on the multi-view point clouds by adopting a point cloud registration algorithm which introduces a dynamic weight and a local rejection mechanism, and extracting a boundary of an effective space of a cabin by utilizing an alpha-shape algorithm; motion trail modeling is carried out on the main engine cabin entering process, meanwhile, rapid real-time calculation of the minimum gap between a main engine envelope body and a cabin boundary is achieved by constructing a gridding distance field of a cabin space, and therefore whether the risk of collision or insufficient space exists in a given cabin entering path of a main engine or not is judged. According to the invention, high-precision, high-efficiency and high-real-time host entry space verification can be realized in a complex and narrow in-cabin environment, and reliable technical support can be provided for optimization and decision-making of a marine host entry scheme.

The invention relates to the technical field of optical detection instruments, in particular to a wafer edge multi-surface synchronous optical detection lens system and method, and the system comprises an optical lens which is internally provided with a second reflector; an image acquisition unit; the second lens cone is connected to the optical lens along the emergent light path direction of the second reflector, a main imaging lens group is arranged in the second lens cone and is used for converging and imaging the light received from the second reflector, and the light is acquired by the image acquisition unit; the two reflecting mirror groups are symmetrically arranged on the optical lens and are configured to guide light rays from the upper surface and the lower surface of the wafer to the second reflecting mirror respectively; and the central view field imaging unit is arranged on the optical lens. The wafer edge multi-surface synchronous optical detection lens system solves the problems that in the prior art, due to the fact that a plurality of lenses are used for detecting the upper surface, the lower surface and the side face of a wafer, cost is high, and an optical path is difficult to calibrate.

The application provides a multi-agent cooperative task state management and abnormal backtracking method and system, relates to the technical field of artificial intelligence, and comprises the following steps: obtaining interaction data, state data and execution logs, constructing an initial task knowledge graph based on an ontology model, establishing a bidirectional causal chain by using a Bayesian network to form a dynamic knowledge graph, analyzing state migration rules when an abnormality is detected, identifying a propagation node, constructing an abnormal propagation subgraph, generating an influence chain, determining a recovery priority and triggering state rollback. The method can quickly trace the abnormal source, effectively control abnormal diffusion, and improve system robustness and task recovery efficiency.

The invention relates to the technical field of data instruction optimization, and discloses an instruction optimization method and system based on privacy protection, a terminal and a storage medium, and the method comprises the steps: obtaining information of a plurality of devices through an environment perception layer, taking each device as a node, taking other devices as neighbor nodes, and calculating truncation Q values of all neighbor nodes, according to the method, the global gradient in the strategy network corresponding to each device is replaced, so that the state and action of the device are optimized, the privacy of device information is ensured by dual network isolation during optimization, and finally closed-loop optimization is performed on the strategy parameters at the current moment. According to the method, the measured data and the environment network are transmitted in an isolated manner through dual network isolation, the data security is improved, the global gradient is replaced by the truncated Q value, the complexity and the cost of calculating the global gradient are reduced, the privacy of the data is protected, and the data accuracy is improved.

The invention belongs to the technical field of coal quality detection, and particularly relates to a method for rapidly predicting coal quality parameters based on Raman spectrum in combination with machine learning. According to the method, a Raman spectrum technology and machine learning are combined, a Raman spectrum systematic preprocessing process is adopted, an adaptive iteration reweighted least square method Air-PLS is applied, spectral signals and baseline drift are accurately separated, Savitzky-Golay filtering is applied, peak shape features are reserved, random noise is effectively suppressed, and the method is suitable for large-scale popularization and application. Maximum-minimum normalization or Z-score standardization processing is provided, and the intensity difference between samples is eliminated; moreover, a data-driven Raman spectrum intelligent feature screening mechanism is introduced, and an optimal feature wavelength subset which is highly related to coal quality parameters and low in redundancy is screened out through automatic iteration; according to the method, the data quality in Raman spectrum coal quality detection is improved, the feature correlation is enhanced while the feature dimension is reduced, the model precision and generalization ability are improved, and rapid, lossless, high-precision and high-robustness coal quality parameter prediction is realized.

The invention discloses a cross-city traffic prediction method and system based on multi-modal fusion and spatial expert routing, relates to the technical field of traffic prediction, and provides an adaptive modal selection mechanism based on a signal-to-noise ratio for the problems of missing, noise and uneven quality of multi-modal data in different cities. And a low-quality mode is dynamically suppressed in combination with comparative learning, and robust multi-mode fusion is realized. In order to solve the problems of large space structure difference and weak generalization ability among cities, a multi-modal guided space expert routing architecture is designed: modal sharing experts and routing experts are activated by using a multi-modal context, and local space dependence is adaptively modeled for different functional regions. The method supports any modal combination input, city specific fine tuning is not needed, and the zero sample cross-city prediction performance is significantly improved.

The invention provides a digital quantum simulation method, which comprises the following steps of: performing symmetry analysis and subspace decomposition on a target Hamiltonian to obtain an effective Hamiltonian and a symmetry constraint condition; constructing a target unitary operator according to the effective Hamiltonian, and initializing a quantum circuit population of the target unitary operator; calculating entanglement characteristics of each quantum line in the quantum line population, performing structure variation on the quantum line population based on the entanglement characteristics, and performing line fragment crossing in combination with a symmetry constraint condition to obtain a candidate line set; performing line parameter optimization on the candidate line set based on the fidelity gradient to obtain an optimized line set, and extracting gate distribution structure features of the optimized line set; and non-uniform sampling is carried out on the optimized line set based on gate distribution structure characteristics to obtain a sampling line subset, an optimal quantum line is screened out from the sampling line subset based on the deviation between an experimental observation value and a theoretical expected value, and quantum simulation is carried out based on the optimal quantum line.

The invention discloses a printing method, device and equipment for any-fold ink quantity output and a storage medium, and relates to the technical field of ink-jet printing. The method comprises the steps that the reciprocating scanning frequency, initial stepping information and ink amount adjusting information of a to-be-printed task are obtained; actual printing stepping information is obtained according to the reciprocating scanning times and the ink amount adjusting information; processing the to-be-printed data corresponding to each type of to-be-adjusted ink according to the reciprocating scanning times and the ink amount adjustment multiple to obtain actual printing data; and controlling a printing nozzle and a printing medium to move relative to each other according to the actual printing stepping information, and performing ink jetting in the moving process according to the actual printing data. The technical problem that an existing printing method cannot conveniently and accurately output the doubled ink amount with any multiple can be solved.

The invention belongs to the technical field of direct-current power supply system management, and provides an independent management method for a split type parallel direct-current power supply lithium battery of bidirectional DC / DC conversion, a direct-current power supply is of a movable structure, and the system architecture of the direct-current power supply comprises a central controller and a plurality of parallel power sub-modules, the method specifically comprises the following steps: a central controller identifies a newly added power sub-module and completes system architecture configuration based on acquired state parameters of existing power sub-modules and main bus operation state data; the central controller dynamically selects a control mode and generates an execution instruction of charging and discharging power based on the number and state parameters of the power sub-modules, and controls the charging and discharging of each power sub-module; on the premise of ensuring uninterrupted power supply of the direct-current power supply, the central controller controls the lithium battery pack in the power sub-module to perform online capacity checking or activation operation. According to the invention, plug-and-play and independent control of the power sub-modules are realized through modular design.

This invention proposes a method for predicting the health status of lithium batteries based on multidimensional features and neural network constant differential equations. The method includes the following steps: S1, preprocessing the capacity data and charging stage operation data collected during lithium battery operation, and constructing features from historical health status data; S2, constructing multidimensional feature inputs for health status prediction based on the charging stage operation data; S3, inputting the multidimensional features into a gated recurrent unit network to fuse and encode the historical health status sequence and constant current charging stage features to obtain a potential feature representation characterizing the battery degradation state; S4, comparing the predicted health status value output by the neural network constant differential equation model with the corresponding actual health status value, calculating the prediction error, and evaluating the prediction accuracy. This application achieves high-precision prediction of lithium battery health status by integrating a multidimensional feature screening mechanism and a continuous-time state evolution modeling method.

The invention discloses an intermediate-frequency surface shape white light interference splicing measurement method based on polynomial filtering. The method comprises the following steps: carrying out white light interference splicing measurement on an X-ray plane mirror to obtain a group of interference measurement surface shape results with overlapped adjacent sub-aperture space positions; fitting the surface shape result of each sub-aperture by using a Legendre polynomial to obtain a polynomial coefficient under a preset order; fitting according to a polynomial coefficient to generate a fitting surface shape of a corresponding order, and subtracting the fitting surface shapes of all orders from the measurement result to obtain a group of surface shape results subjected to Legendre polynomial filtering; and splicing the filtered shape results according to a least square algorithm to obtain a final measurement result. The method aims at meeting the splicing measurement of sub-nanometer PV precision required by the intermediate-frequency surface shape error detection of the X-ray plane mirror, the least square optimization splicing method is used, the method is not limited by the low-frequency characteristic of the measurement error of the white light interferometer, and the precision and flexibility of the splicing measurement are improved.

This invention provides a rapid rewarming and circulatory support system for frostbite and hypothermia in high-altitude environments, relating to the field of treatment device technology. It includes: a first temperature acquisition module for acquiring and preprocessing the current first ambient temperature, the first frostbitten skin surface temperature, and a first skin surface image; a control module connected to the first temperature acquisition module for analyzing the preprocessed first ambient temperature, the first frostbitten skin surface temperature, and the first skin surface image to determine the corresponding first target temperature and a first target warming rate; and a temperature regulation module connected to the control module for gradually warming the skin to the optimal preset temperature according to the warming rate. This invention achieves dynamic temperature control, continuous protection, and intelligent decision-making for frostbite and hypothermia in high-altitude environments.

The application belongs to the technical field of micro-nano optics, and discloses a magnetic control fiber OCT probe and a preparation method thereof, which comprises: a transparent catheter; a single-mode optical fiber arranged in the interior of the transparent catheter; and an optical imaging assembly integrally formed on the end face of the single-mode optical fiber by means of a femtosecond laser two-photon polymerization technology, wherein the optical imaging assembly comprises a stator, a rotor and a focusing lens arranged in sequence, one end of the stator away from the rotor is fixedly connected with the single-mode optical fiber, the rotor rotates relative to the stator, one side of the focusing lens is provided with a reflecting surface, the reflecting surface is provided with a magnetic structure, and the magnetic structure is used for driving the rotor to rotate in response to an external magnetic field. The application can significantly reduce the diameter of the probe, improve the lateral resolution, and realize non-contact far-field magnetic control scanning, thereby directly serving the early diagnosis of microvascular lesions, intraoperative minimally invasive imaging and biological basic research.

This application relates to the field of battery formation and capacity testing equipment technology, and discloses an intelligent control integrated machine and battery production formation and capacity testing equipment. The intelligent control integrated machine includes: a chassis, a bus backplane, a main control board, a control board, a data acquisition board, a communication board, and a power supply board. The main control board, control board, data acquisition board, communication board, and power supply board are all detachably plugged into the chassis, and when plugged into the chassis, they are respectively plugged into the bus backplane. In this application, when the main control board, control board, data acquisition board, communication board, and power supply board are plugged into the chassis and connected to the bus backplane, the connection of each functional board can be quickly and easily realized, reducing the complex wiring and connection between devices, improving the stability and reliability of the system, and reducing the space occupied by the entire control equipment.

The application relates to the technical field of massage equipment, in particular to a sliding contact power supply device and a massage chair, which comprises a strip-shaped conductive assembly, a sliding conductive assembly and at least one flexible rack; the flexible rack is used for engaging and driving a gear on a massage core; the strip-shaped conductive assembly is used for electrically connecting with an external power supply and is installed along the extension path of the flexible rack; the sliding conductive assembly comprises a mounting seat and a conductive structural member; the mounting seat is fixedly installed on the massage core; when the massage core moves along the flexible rack, the conductive structural member is fixed on the mounting seat and is in sliding contact with the surface of the strip-shaped conductive assembly to supply power to the massage core. The application has the advantages of compact structure, small space occupation, stable power supply and good adaptability to the reciprocating motion of the massage core.

The application discloses a kind of based on spot image moment feature telescope primary and secondary mirror calibration method, belong to telescope computer-aided alignment field.The specific steps of the calibration method are as follows, first, randomly give the free degree misadjustment of telescope system secondary mirror, utilize unbiased finite impulse response moment to extract the spot image feature of multiple field of view within reasonable range under the misadjustment state of telescope;Then utilize fully connected neural network to construct the model between the free degree misadjustment of secondary mirror and the multiple field of view spot image feature matrix;In actual use, after the multiple field of view spot image collected by CCD camera is extracted into feature matrix using unbiased finite impulse response, it is input into the trained neural network model to solve the misadjustment of secondary mirror, to guide the alignment of telescope system.This method aims to wavefront sensor as the image quality evaluation benchmark of telescope without, and without multiple iterations, to improve the efficiency of system primary and secondary mirror alignment and the imaging quality of system.

This invention discloses a passive adsorption-selective catalytic reduction (CCR) device for diesel vehicles, comprising an electronically controlled nozzle, a first mixing chamber, a pre-catalytic oxidation-reduction chamber, a second mixing chamber, and a post-catalytic oxidation-reduction chamber arranged sequentially. The first mixing chamber includes a first urea solution inlet, a V-shaped breaker wall, and a W-shaped bottom mixing chamber. The V-shaped breaker wall is fixed to the rear wall of the first urea solution inlet pipe. The W-shaped bottom mixing chamber includes an inner cavity and an outer cavity. The inner cavity wall has staggered array openings, and the inner and outer cavities are connected through these openings. A guide wall structure is connected to the outermost pipe at the end of the first mixing chamber. The CCR chamber is connected to the end of the guide wall, and a three-zone integrated catalyst is located inside the CCR chamber. This invention solves the problems of severe NOx escape during the cold start phase, system complexity, and low-temperature urea crystallization in existing selective catalytic reduction technologies.

The invention discloses an interference communication integrated waveform generation method based on spectrum dispersion-multi-system phase shift keying. The problems of difficult communication information demodulation and high hardware implementation complexity in interference communication integration research are mainly solved. According to the scheme of the invention, the SMSP interference signal is formed by periodically expanding the chirp signal on the time domain, the communication information is modulated on the phase of the chirp signal, and the plurality of chirp signals carrying the communication information can cause dense false target interference at random positions on the radar, so that the interference and communication integrated signal is generated. At a communication receiving end, a first linear frequency modulation signal is adopted to perform carrier synchronization, so that the synchronization effect can be improved by using the high time width-bandwidth product characteristic of the linear frequency modulation signal, and communication information can be demodulated directly by using a coherent demodulation mode; at a radar receiving end, the signal can generate a radar interference effect with dense false target characteristics.