1544results about How to "Improve anti-interference ability" patented technology

This invention provides a method for rapid assembly of a modular tubular beam car body. The car body is divided into several independent modules, which are manufactured in parallel at independent workstations or assembly lines. Corresponding connections between different independent modules are fitted with interlocking mortise and tenon structures for coarse positioning and fastening. The manufactured independent modules are then automatically transferred to an assembly station, where a robot grasps and rapidly assembles them. After assembly, bolts and / or structural adhesive are used to fasten the mortise and tenon joints. Compared to traditional assembly line production processes, this method significantly improves efficiency and economy, effectively reduces floor space, and overcomes the limitation of existing "unpacking processes" that are only suitable for single-model production, thus facilitating flexible manufacturing and rapid iteration across multiple models.

The invention relates to the technical field of remote sensing data processing and earth surface parameter inversion, and discloses an earth surface matrix parameter hyperspectral data inversion method and system based on machine learning. Comprising the following steps: constructing a multi-source heterogeneous hyperspectral data set; performing feature screening on the preprocessed hyperspectral data set based on an adaptive band selection algorithm, constructing a dynamic weight matrix by calculating mutual information entropy and inter-class distance measurement between spectral bands to realize intelligent screening of key feature bands, and combining spectral derivative conversion and spectral index calculation to generate an enhanced feature vector; and a multi-task transfer learning neural network model is constructed, and an output layer realizes multi-parameter collaborative inversion based on a multi-task learning architecture. And performing preprocessing and feature enhancement operation which is the same as that of the training data on the hyperspectral image data of the to-be-inverted region, inputting the trained neural network model, and outputting a surface matrix parameter inversion result.

The invention relates to a self-adaptive firewall rule generation method and device based on real-time threat intelligence, and the method comprises the steps: carrying out the semantic analysis of a threat intelligence text, extracting attack indexes and attack technique and tactics labels, and generating an intelligence triple set and an attack technique and tactics label set; calling a language model to generate candidate rules based on an intelligence analysis result, carrying out credibility scoring, intercepting a low-scoring rule as a high-risk illusion rule, and entering other rules into a to-be-verified set; constructing a digital twinborn shadow sub-domain to perform real-time traffic verification on the rule set to be verified, and dividing the rule set to be verified into an effective rule set and an invalid rule set according to a verification result; constructing a rule dependence graph based on the invalid rule set to perform pollution traceability, and adding nodes with excessive pollution into an isolation list; and cleaning the historical training samples based on the isolation list and the interception rule log, and performing incremental training on the language model to generate an updated model.

The utility model provides an electrocardiogram electrode patch. The electrocardiogram electrode patch comprises a transmission part, a first attaching part and a connecting wire, the transmission part is used for being detachably connected with electrocardiogram detection equipment, and the first attaching part is used for being attached to a to-be-detected first target position; the transmission part is connected with the first attaching part through the connecting line; the transmission part comprises a shielding grounding contact and a first transmission contact; the first attaching part comprises a first flexible circuit board, and the first flexible circuit board comprises a first shielding layer and a detection contact layer; the connecting line comprises a signal transmission core and a second shielding layer wrapping the signal transmission core. The first shielding layer is connected with the shielding grounding contact through the second shielding layer, and the detection contact layer is connected with the first transmission contact through the signal transmission core. By means of the configuration, signals and interference signals can be transmitted independently, and the stability of electrocardiosignal transmission can be effectively improved.

The invention discloses a data processing method and system of a chromatographic instrument, and relates to the technical field of data processing, and the method comprises the following steps: collecting whole-course original detection signals and external interference signs generated in a chromatographic analysis process, carrying out time alignment under a unified time scale, generating an interference rhythm index, and calculating the interference rhythm index; the reference is used as a unified reference for subsequent signal comparison; and based on the interference rhythm index, performing phase drift comparison on the acquired signal, calculating the phase difference between the detection signal and the interference signal, drawing a beat frequency wandering graph, extracting candidate signal segments of pseudo-period interference according to beat frequency change, and generating a pseudo-period candidate segment list. According to the invention, by establishing the interference rhythm index and comparing the interference rhythm index with the phase drift, the time decoupling of the detection signal and the interference signal is realized, and the sampling anti-interference capability is improved; and through dynamic control of a false peak characteristic fingerprint draft and a misjudgment reason table, signal rhythm correction and peak identification optimization are completed, so that the detection accuracy and the data stability are improved.

The invention discloses an ultrasonic welding quality online detection system and method, and belongs to the technical field of laser non-contact measurement. According to the invention, the laser vibration measurement probe is rigidly coupled to the welding head to construct a follow-up-common-optical-path measurement unit, so that synchronous acquisition of vibration signals with zero mass loading is realized; further extracting an attenuation section after welding is finished from the signal, and inverting an equivalent modal damping ratio representing an interface energy dissipation state based on an exponential attenuation model; meanwhile, multi-dimensional physical indexes such as an energy transfer efficiency index Itrans and an input stability index Iin are calculated, and in combination with an energy absorption state index, collaborative fusion is carried out through a weighted fusion formula to obtain a comprehensive quality score; and finally, realizing quality attenuation early warning based on time sequence trend analysis of a scoring sequence. On-line sensing of the deep dynamic state in the welding process is achieved, the early defect recognition sensitivity and the system anti-interference capacity are remarkably improved, and the predictive maintenance capacity of quality degradation is achieved.

The invention belongs to the field of wastewater treatment and industrial automatic control, and particularly relates to an intelligent dosing control method based on water quality online monitoring. The method comprises the following steps: capturing a water body spectrum fingerprint spectrum by using a full-spectrum scanning module to obtain a characteristic signal sequence; a chemical informatics molecular algorithm is introduced for preprocessing and feature enhancement, and molecular fingerprint information is recognized; a convolutional neural network model is constructed to decouple chemical oxygen demand, ammonia nitrogen, total phosphorus and water toxicity indexes from the spectral signals, and multi-parameter parallel inversion is achieved; and based on the inversion index and the spectral dynamic trend, the dosage is calculated through an intelligent decision-making algorithm, and accurate dosing of the medicament is driven. According to the invention, through fusion of full spectrum scanning and deep learning, high-precision anti-interference water quality perception is realized, potential risks can be identified and preventive intervention can be carried out, and the intelligent level and economical efficiency of dosing control are improved.

The invention belongs to the technical field of intelligent manufacturing and industrial scheduling, and provides a high-altitude platform multi-test task production scheduling method based on a clustering algorithm and multi-objective optimization, and the method comprises the steps: automatically calculating the exclusive resource demands of all working condition points in a plurality of aero-engine test tasks based on a multi-parameter coupling model; for each task, dividing a plurality of work packages by adopting a clustering algorithm based on the multi-dimensional features containing exclusive resource requirements in the task; a multi-objective model of multiple optimization objectives is constructed, all the work packages are jointly sorted globally, and the optimization objectives comprise the equipment utilization rate; and finally, under the condition that constraint of resource capacity, mutual exclusion of test cabins and task continuity is satisfied, allocating an available tester and a continuous time window to each work package, and generating an initial production scheduling plan. According to the method, the production scheduling efficiency and the resource utilization rate are effectively improved, the plan robustness is enhanced, and the method is suitable for high-complexity aero-engine test scheduling scenes.

The invention discloses a matrix type temperature detection system and method based on temperature-sensitive diodes, the problems of complex wiring and large temperature drift of a traditional multi-node temperature measurement system are solved through M * N matrix layout, row and column time-sharing gating and constant current driving technologies, the system adopts an independent column constant current source to ensure the measurement consistency, and a high-precision ADC and a dynamic calibration algorithm are combined, so that the measurement accuracy is improved. And the precision of + / -0.2 DEG C is realized within the range of 50-150 DEG C. The method is particularly suitable for high-density temperature measurement scenes such as battery thermal management, electronic equipment overheating monitoring and the like.

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 invention relates to the technical field of thermoelectric Internet of Things security, in particular to a thermoelectric Internet of Things terminal data credible situation awareness and protection platform, which comprises an integrated architecture for constructing a distributed probe acquisition layer, a behavior modeling and knowledge base, a dynamic trust evaluation engine, a situation awareness and decision center and a credible traceability module. Multi-dimensional trust evaluation is realized by fusing terminal behavior consistency analysis, service logic compliance verification and group behavior correlation detection, a self-adaptive weight adjustment mechanism is introduced to adapt to scene change, a hierarchical protection strategy is executed based on a dynamic credibility score, and non-interruption of network disconnection protection is guaranteed by relying on edge calculation. According to the method, the data credible sensing precision is improved, dynamic differential protection is realized, the operation and maintenance cost is reduced, multiple thermoelectric scenes are adapted, and a safety guarantee is provided for stable operation of a thermoelectric Internet of Things system.

The invention discloses a pavement crack accurate extraction method and system based on multi-scale image segmentation, and belongs to the technical field of pavement detection, and the method comprises the steps: obtaining a to-be-detected pavement image, carrying out the brightness normalization and geometric correction of the pavement image, and constructing a multi-scale image set with different resolutions; generating a spatial texture channel and a spectral domain response channel for each scale image in the multi-scale image set, and fusing the spatial texture channel and the spectral domain response channel to obtain a spectral-space coupling input tensor, wherein the spectral domain response channel is obtained by extracting energy characteristics of a plurality of frequency bands after performing spectrum transformation on the scale image; a multi-scale image set is constructed for road surface images, and coupling expression of spatial texture information and spectral domain response information is introduced, so that feature consistency of fine cracks under different resolutions is enhanced, and scale drift and response distortion caused by shadows, light reflection and seam textures are inhibited at the same time; therefore, the separability and the stability of the crack in a complex scene are improved.

The invention provides a nucleic acid probe, a primer group, a kit, a detection method and application, and relates to the technical field of biology. The nucleotide sequence of the nucleic acid probe is as shown in SEQ ID NO. 1; wherein the 3'end of the nucleic acid probe is modified with MGB, and locked nucleic acid is modified at a base position corresponding to the difference between the swine fever wild strain and the swine fever vaccine strain in the nucleotide sequence. According to the nucleic acid probe, a specific sequence is utilized to precisely target a swine fever wild strain, and locked nucleic acid modification is introduced at a differential site, so that the recognition capability on single-base mismatch is remarkably enhanced, non-specific binding to a vaccine strain is thoroughly blocked, and false positive interference is eliminated; and 3 '-terminal MGB modification is matched to improve the binding stability and sensitivity, so that the efficient and accurate identification of the swine fever wild strain under the immune background is ensured.

The invention discloses an industrial robot motion pose error calibration method based on constraint solution. The industrial robot motion pose error calibration method comprises the steps that S1, joint angles, tail end coordinates and temperature data of multiple measurement points are collected; s2, correcting the kinematic model by using the thermal elongation and constructing a parameter identification model; s3, constructing a mixed integer nonlinear constraint pool according to mechanical limitation; s4, introducing a semi-definite programming slack variable to convert the non-convex constraint into a linear matrix inequality; s5, combining a primal-dual interior point method and an alternating direction multiplier method to iteratively solve the optimal kinematics parameter correction; s6, introducing a square root information filtering improvement mechanism to correct a state vector square root factor, and calculating an updated nominal kinematics parameter; and S7, based on the condition number of the error Jacobian matrix, judging observability and repeatedly calibrating. According to the method, the problem of precision reduction caused by thermal errors is solved, and the identification precision, the numerical stability and the self-adaptive calibration capability of the kinematics parameters of the robot are improved.

The invention discloses a totem-pole PFC circuit control method and device based on an improved SOGI-PLL, and belongs to the technical field of totem-pole PFC circuits, and the method comprises the steps: collecting the input voltage, input current and bus voltage of a totem-pole PFC circuit; synchronous phase information of the power grid voltage is obtained through an improved second-order generalized integral phase-locked loop; generating a current amplitude reference signal, and combining the current amplitude reference signal with the synchronous phase information to synthesize a current reference signal; generating a pulse width modulation signal for controlling a high-frequency switching tube; and a switching signal of the power frequency switching tube is generated based on the synchronous phase information, and the power frequency switching tube and the high-frequency switching tube are driven in combination with the pulse width modulation signal, so that the action time sequence is synchronous with the phase of the power grid voltage, and therefore, waveform tracking of the input current is realized, and current distortion at the zero crossing point is suppressed. Precise phase synchronization is realized based on the improved SOGI-PLL, totem pole PFC zero-crossing current distortion is effectively suppressed, and the power factor and waveform quality are improved.

The invention discloses a wide-spectrum rapid scanning and intelligent identification method, system and device, and the method comprises the steps: firstly, carrying out the rapid frequency sweeping through employing a low-sampling-rate and low-quantization-precision receiver, generating a low-resolution time-frequency graph, and recovering the super-resolution of the low-resolution time-frequency graph into a high-resolution spectrum through a pre-trained deep learning model; then, the enhanced time-frequency image is segmented into time-frequency blocks, global features are extracted through a Transform encoder, and detection and screening of multiple candidate signal areas are achieved; and finally, carrying out directional sampling on the candidate region, respectively extracting time domain and frequency domain features, mapping the time domain and frequency domain features to a unified space for fusion, and completing signal category judgment based on the combined features and a judgment network. According to the wide-frequency-spectrum rapid scanning and intelligent identification method, system and device, through a layered architecture of broadband rapid scanning-frequency spectrum quality recovery-multi-region detection-directional sampling and time-frequency fusion identification, the reliability of unmanned aerial vehicle signal detection and identification in a complex electromagnetic environment is improved while the hardware cost is reduced.

The invention relates to the technical field of robot control, and discloses a wheeled humanoid robot movement and operation integrated control strategy, which is characterized in that a twin hierarchical control framework is constructed, real-time data is acquired through a sensing layer, and a twin data layer is used for constructing a double-arm kinematics model fused with chassis incomplete constraint; the task planning layer dynamically allocates master-slave roles of the two arms and optimizes a time sequence scheme; the chassis and double-arm coordination layer realizes balance adjustment through dynamic sliding mode control driven by twin correction, and the control layer generates a force-position coordination instruction to drive the execution layer to work; closed-loop iteration is formed through comparison and calibration of virtual and real data of the twin data layer. According to the method, the double-arm cooperation precision and the anti-interference capability are improved, the system robustness is enhanced, the operation continuity can be guaranteed when the single arm fails, and the comprehensive performance of the cooperation operation is optimized.

The invention provides a channel prediction method and system based on a multi-cycle feature convolutional network. According to the method, context sensing weighted input and a dynamic multi-model pool mechanism are introduced. A terminal device obtains environmental context features in real time, dynamically calculates the weight of each time step in a historical channel state information sequence based on the features, and generates a weighted optimized input sequence. Meanwhile, the network equipment pre-trains and maintains a plurality of multi-period feature convolutional network models specific to different environments, and the network can effectively capture the complex time-varying rules in the period and during the weeks in the channel, so that the accuracy of channel state information prediction is improved. And the terminal equipment immediately selects and activates the optimal sub-model in the model pool for prediction according to the real-time context features, and locally performs increment fine adjustment. According to the invention, through management of the data input end and rapid and adaptive switching of the prediction model end, the precision of channel prediction and the adaptive capacity to environmental sudden change are effectively improved.

The invention discloses an ultra-wideband multi-system combining platform containing an NR4.9 G frequency band. The combining platform comprises a front-stage combining module, a higher harmonic suppression filtering module and a final-stage combining module, wherein the pre-stage combining module is a common multi-system combining platform and covers 2G, 3G and 4G system signals of mobile communication, and the frequency band is 698-2400HMz; the higher harmonic suppression filtering module is used for frequency selection of the working frequency band of 698-2400MHz of the preceding-stage combining system and suppression of higher harmonics and clutters within the frequency band bandwidth of 2500-5000MHz; the final-stage combining module adopts a hierarchical combining design, NR2.6 G, NR3.5 G and a higher harmonic suppression filtering unit are used as a first stage, NR4.9 G is used as a second stage, the working frequency of the final-stage combining module covers 2515-2515-4960 MHz, and the final-stage combining module comprises a mobile NR4.9 G system. The system has the advantages that existing 2G, 3G, 4G and 5G system frequency bands and an NR4.9G system are integrated and applied to wireless public network coverage, and co-construction and sharing of existing resources within the working frequency band of 698-4960 MHz are achieved.

The invention discloses an orthopedic surgery navigation positioning method and system based on three-dimensional registration, and belongs to the technical field of orthopedic surgery navigation. According to the method, through preoperative multi-modal image fusion reconstruction, intraoperative dynamic point cloud collection and an improved mixed registration algorithm, precise alignment of a preoperative model and an intraoperative actual skeleton is achieved, and by combining real-time error monitoring and dynamic compensation, precise positioning parameters of a surgical instrument are output to guide surgical operation; the system corresponds to the method and comprises an image acquisition module, a three-dimensional reconstruction module, a registration calculation module, a navigation guiding module, an error monitoring module and a control module, all the modules work cooperatively, and it is ensured that the navigation positioning precision is smaller than or equal to 0.3 mm, the registration time is smaller than or equal to 3.5 s, and the dynamic error compensation response time in the operation is smaller than or equal to 50 ms. The method does not need to depend on a physical marker, does not need a doctor to manually intervene the registration process, is high in anti-interference capability, is suitable for various orthopedic surgery scenes, effectively reduces the surgical risk, and improves the surgical efficiency and the standardization level.

A voice interaction method, system, device, and storage medium are disclosed. The method includes: acquiring historical voice interaction data of a target user, their viewing location, and an audio stream at that location; acquiring a knowledge graph of multiple exhibits within the area where the viewing location is located; determining the target user's voice interaction commands in the audio stream; associating the voice interaction commands with historical voice interaction data based on a preset contextual dialogue model to obtain contextual dialogue data; determining the target user's intent based on the voice interaction commands and contextual dialogue data; determining the explanation content based on the exhibit knowledge graph and the target user's intent, and generating a target display scene based on the explanation content; selecting a target virtual guide from a preset virtual guide library based on the explanation content, and displaying the target display scene; and having the target virtual guide explain the target display scene based on the explanation content. This application can improve the accuracy of voice interaction in VR exhibitions.

The application provides an environment simulation air extraction device cooperative optimization control method and system based on cooperative differential game, comprising the following steps: step 1, a dynamic model of the air extraction device is established. Step 2, the air supplement valve and the plurality of inlet valves are regarded as game participants, and a pressure-pressure ratio multi-objective optimization model based on cooperative differential game is constructed. Step 3, an approximate dynamic programming algorithm-critical neural network is combined to obtain an approximate Pareto optimal solution of the established game optimization model. Step 4, a cooperative optimization controller is designed: the inlet valve adopts PI control combined with a filter and an optimization item to realize cooperative control of pressure and pressure ratio. Step 5, on a multi-compressor parallel simulation platform, various complex working conditions such as valve leakage and compressor failure are set to verify the robustness and superiority of the algorithm. After the application of the technical scheme, the speed, robustness and anti-interference ability of the system based on the cooperative differential game cooperative optimization control algorithm are significantly improved.

This invention relates to the field of force sensor technology, and more particularly to a pressure-balanced underwater six-dimensional force sensor sealing structure and method. It primarily addresses the problems of insufficient sealing pressure resistance and susceptibility to seawater leakage when existing six-dimensional force sensors are applied in underwater scenarios, and the fact that high underwater pressure can cause deformation of the main structure, interfering with strain measurement and leading to force signal deviation. The proposed technical solution includes a force sensor body, with a mounting plate installed at the output end of the force sensor body, and an elastic element disposed at and penetrated by the elastic element at the output end of the force sensor body; a sealing element disposed on the side of the force sensor body away from the elastic element, the sealing element being made of rigid or elastic material. The force sensor body, the elastic element, and the sealing element form a sealing structure that encloses the deformable beam and the PCB board. This invention can improve its underwater sealing pressure resistance and anti-interference capability, ensure force measurement accuracy, and assist underwater robots in precise operation.

The utility model discloses a controllable rectification DC power transmission petroleum drilling machine hybrid power system, including generator unit, public DC bus, energy storage battery group, water -cooled inverter drive unit, total controller, central controller, brake unit, converter unit, the power transmission end of multiple generator unit is connected to the power receiving end of public DC bus, and public DC bus connects energy storage battery group, and the power transmission end of public DC bus is connected to the power receiving end of multiple water -cooled inverter drive unit respectively, and water -cooled inverter drive unit is connected to the load power receiving end of petroleum drilling machine, still be connected with brake unit and converter unit on public DC bus, the VCU controller of every generator unit is connected through CAN communication bus of central controller, and central controller still communication connection, BMS system in energy storage battery group, water -cooled inverter drive unit and total controller, can overcome the existing drilling system installed cost high, maintenance cost is higher, and the problem that power grid quality is greatly interfered, equipment volume is big, system efficiency is low.

The application discloses a kind of concentrated pool coal-water interface video image recognition device and method, comprising: sequentially connected concentrated pool fixed module, mobile module, image acquisition module and image processing module;The mobile module uses movable guide rail, under the guidance of the concentrated pool fixed module, the video information in the concentrated pool is collected by the image acquisition module, and based on image processing module, the video information is analyzed and processed, the number of coal particles is obtained, and then the coal-water interface is identified.The application has the characteristics of non-contact and intelligence by image processing method, with the help of the relatively mature image processing technology and data transmission technology, the dependence on hardware such as sensor is lower, and it is easy to upgrade and transform.

The present application provides a kind of forest tree species classification method, device, electronic equipment and storage medium, belong to artificial intelligence technical field, method includes: forest remote sensing image is input to forest tree species classification model, obtains the output tree species classification result;Forest tree species classification model includes preliminary feature processing module, high-order feature extraction module and tree species classification result output module, high-order feature extraction module is sequentially connected first residual block stack layer, first down-sampling layer, second residual block stack layer, second down-sampling layer, third residual block stack layer, third down-sampling layer and fourth residual block stack layer, stacked residual block embedding dimension rearrangement layer, dimension recovery layer and convolution block attention module.The present application improves the dimension compatibility of CBAM and convolution architecture by embedding explicit dimension rearrangement layer and dimension recovery layer in the residual block embedded with CBAM, effectively improves the classification accuracy of forest remote sensing image for forest tree species classification task.

The invention discloses an ontology recognition method and device oriented to a decision knowledge graph, and the method comprises the steps: carrying out the ontology knowledge extraction of text data of a decision-related field, and obtaining an ontology text set; the ontology text set comprises an attribute text set and a rule text set of each ontology; the attribute text set comprises various attribute texts; the rule text set comprises various rule texts; preprocessing the ontology text set to obtain a preprocessed text data set; performing ontology type identification processing on the text data set of each ontology in the preprocessed text data set to obtain a type identification result of each ontology; the type of the ontology comprises a fact type ontology, a rule type ontology and a decision type ontology.

The utility model relates to a cold -air machine with adjustable pedestal, including cold -air machine body, the pedestal that is fixedly arranged below cold -air machine body, the pedestal includes the square board that is arranged below cold -air machine body, the adjusting device that is arranged on the square board, a plurality of support legs that are fixedly arranged below the square board, the wheel that is respectively arranged on a plurality of support legs, the adjusting device includes the first motor that is fixedly arranged below the square board, the first gear that is fixedly arranged in the first motor output, the second gear that rotatably arranged below the square board and is engaged with the first gear, the carousel that is fixedly arranged on the second gear, the drive mechanism that is arranged on the carousel is used to drive the up-and-down swing of cold -air machine body. Use this cold -air machine, and cold -air machine body can swing up and down while carrying on autogyration, two kinds of movement modes do not interfere with each other, realize compound air supply mode, significantly increase the coverage area and air disturbance of cold air, promote the mixing and diffusion of cold air and indoor hot air, accelerate the overall cooling speed.

The application belongs to the field of integrated circuits, and specifically provides a low-power consumption enhanced reading type 11T CNFET SRAM cell circuit to solve the problems of slow speed, low stability, high power consumption and the like in the prior art; the application comprises N-type carbon nanometer field effect transistors MN1-MN9 and P-type carbon nanometer field effect transistors MP1-2, on the basis of a conventional 6T SRAM cell circuit, a dynamic load structure composed of transistors MN7, MN8 and MN9, and a high-resistance differential readout circuit composed of transistors MN3, MN4, MN5 and MN6; the adoption of P-type transistors realizes a bistable latch structure to reduce holding and writing power consumption, eliminate path competition phenomena caused by data flipping during writing, and improve writing speed; during reading, a resistive load tube is turned on to eliminate charge accumulation and ensure data storage stability; the high-resistance differential readout circuit reduces voltage disturbance of a storage node caused by bit line load; meanwhile, the differential writing / reading circuit can suppress common-mode noise and external interference on the bit line, reduce the probability of error sampling, and enhance overall anti-interference capability.

This invention discloses a co-integrated device for a low-crosstalk RF front-end and array antenna for millimeter-wave radar, comprising a main board, a shielding plate, an RF module, and an array antenna module. The shielding plate is horizontally positioned above the main board, and a frame is provided outside the shielding plate. Support columns are vertically mounted at the four corners of the frame and between the shielding plate and the main board. A sub-plate is mounted on the surface of the shielding plate, and the array antenna module is mounted on the surface of the sub-plate. An antenna cover is mounted on the sub-plate to cover the array antenna module. The RF module is mounted on the side of the main board away from the shielding plate, and the pins of the RF module are soldered and fixed to the main board. Pressure bars are provided on both sides of the pins to hold them in place. This invention has a simple structure and actively manages and reduces electromagnetic crosstalk between the array antenna and the RF front-end through a combination of increased distance, physical shielding, and adjustable position; at the same time, the pin-fixing structure enhances the mechanical reliability of the RF module.