16results about How to "Precise filter" patented technology

The application relates to the technical field of network security, in particular to a Java Restful interface security test method based on static analysis, which comprises the following steps: generating a Jimple intermediate representation of source code of a target Java application; performing data flow analysis based on the Jimple intermediate representation to generate a complete data flow graph; identifying a pollution source and tracking a pollution propagation path on the basis of the data flow graph, judging whether a pollution object reaches a convergence point, and determining a vulnerable interface; extracting an interface routing signature in the pollution analysis process to generate routing signature information; grouping interfaces based on parent routing of the interfaces, performing interface security test in combination with the routing signature information, introducing a reinforcement learning method to dynamically optimize a test strategy, performing parameter variation and attack load injection of a test case on the vulnerable interface; and setting a security monitoring strategy in a dynamic plug-in manner, and completing interface security risk judgment according to recorded logs and the test case.

The present application relates to the technical field of smart city, especially relates to a smart city bus stop board dynamic information accurate pushing method and system, wherein a query semantic representation structure is constructed by collecting query requests and scene state information, a joint understanding representation is obtained by modeling the scene state information multi-level semantic association, scene constraint multi-hop reasoning is executed in a bus knowledge association network, a candidate answer sequence is generated by filtering, an optimal answer is selected by calculating a scene adaptation score, pushing content is generated, interactive feedback is collected, feature fusion weights are adaptively adjusted to form a closed loop optimization, and accurate dynamic pushing of bus information and user experience improvement are realized.

The utility model discloses a stirring reaction unit is used to lithium phosphate recovery, including the reaction tank, still including L type board, the outside installation of reaction tank has the fixed ring, the outside fixed of fixed ring has a plurality of and the branch leg of circumferential distribution, the top of reaction tank installs the top cover, is provided with the stirring mechanism on the top cover, the top of top cover installs the square tube, and the top of square tube is connected with the detection pipeline, and the top of detection pipeline installs the connecting flange, and the inside of square tube is provided with the dust filter mechanism, and the right side of square tube is connected with the blast pipe, and the inside fixed of blast pipe has the support, and the left side fixed of support has the gas cylinder, and the output of gas cylinder is connected with L type board, the utility model discloses through the gas cylinder drive L type board, when needing to clean the filter screen, the square tube top end is closed fast, forms a closed space, fills in high pressure nitrogen through the blast pipe and carries out the reverse flushing, can effectively remove the dust and impurity that filter screen surface accumulated, and the gas permeability of filter screen is improved significantly.

The present application belongs to the technical field of valve, especially a pressure speed measuring device and full bore bidirectional sealing C type valve, aiming at the intelligent sensor of speed measuring valve being easily interfered by turbulent flow and vortex, flow field being disorderly changed, lacking of filtering, reducing speed measuring precision and affecting the judgment of flow data, the following scheme is proposed, including water inlet pipe and straightening pipeline, the water inlet end of the water inlet pipe is connected with upstream pipeline through bolts, the same precision speed measuring module is installed on the water inlet pipe and the straightening pipeline, and the precision speed measuring module includes triangular support one. The pressure speed measuring device and full bore bidirectional sealing C type valve disclosed by the present application has the effects that the integrated impurity filter screen and the hydraulic drive annular cleaning brush in the water inlet pipe realize online self-cleaning of the filtering surface, the converging flow guide cone and the multi-stage multi-hole straightening plate are arranged at the water outlet end, the eccentric jet flow after the valve is converted into uniform and stable flow field, and the annular multi-point intelligent speed measuring sensor is combined to realize the effect of precise speed measurement.

This invention provides a machine learning-based method and device for anomaly detection in DDR wafer testing. It acquires timing eye diagrams and timing waveform data related to total jitter, deterministic jitter, and random jitter synchronously during DDR wafer testing. The method performs clock edge phase segmentation alignment on the differential timing sampling points in the timing waveform data to construct dense sampling data in the phase domain. Combined with DDR jitter physical priors, adaptive sparse coding is performed to remove noise and components related to normal process fluctuations, obtaining defect-sensitive sparse components. Variational mode decomposition is then performed to obtain components related to process drift, normal process fluctuations, and abrupt anomalies. The components related to abrupt anomalies are extracted as target detection data, input into a preset machine learning model, and anomaly pattern association results are generated. Based on these, DDR wafer testing anomaly detection results are output, and corresponding test setting adjustment instructions are generated. This invention can improve the overall efficiency and reliability of DDR wafer testing results.

This utility model relates to solid-liquid separation equipment technology, and discloses a multi-stage pressurized filter cylinder structure for a vinegar residue extrusion dewatering machine. It includes a base plate, a support fixedly connected to the rear top of the base plate, a hydraulic assembly fixedly connected to the inner top wall of the support, a connecting base slidably connected to the center of the top of the base plate, a liquid collection tank fixedly connected to the top of the connecting base, a motor fixedly connected to a groove in the top of the connecting base, and a connecting shaft fixedly installed at the output end of the motor. In this utility model, the motor drives the connecting shaft to rotate, causing the connecting plate and adjusting components to rotate around the fixed filter cylinder. When the adjusting components rotate, they block the filter holes, allowing for rapid adjustment of the filter hole diameters of multiple filter cylinders according to different materials and processing levels. This ensures that different sized particles remain in the corresponding filter cylinders during the extrusion filtration of the vinegar residue, achieving precise filtration and solving the problem of not being able to quickly and accurately adjust the filter hole diameter for the dewatered material.

The application provides a kind of early fault warning method of bridge machine, for the technical problems that weak fault characteristics are easy to be covered by strong noise under complex operation condition, traditional model generalization ability is weak and early warning threshold is rigid, the application first collects multiple source operation data and carries out denoising reconstruction using variational mode decomposition algorithm, realizes weak fault signal enhancement;Secondly, extract multi-dimensional statistical features and use local preserving projection algorithm to reduce dimension, obtain low-dimensional sensitive feature vector;Then construct adaptive kernel spectrum clustering model, use data-driven scale factor and introduce mahalanobis structure penalty similarity matrix to identify high-precision early weak fault state;Finally, combined with the mechanism of non-linear fatigue damage of equipment and real-time working condition variable updates dynamic warning threshold, and then trigger multi-level response to prevent false alarm.The application greatly improves the purity of feature extraction and cross-condition generalization ability in strong noise environment, realizes low false alarm, zero false alarm and accurate active early warning.

The invention provides a wafer graph defect semantic reasoning method driven by a retrieval enhancement large model. The method comprises the following steps: constructing a multi-source data set fusing a wafer graph sample, a domain document and a process document; designing a wafer graph defect knowledge entity and relation extraction mechanism driven by prompt learning, designing a wafer graph defect visual prototype attribute embedding mechanism, and constructing a bimodal defect knowledge graph with text semantics and visual prototype attributes; introducing a defect prototype matching mechanism to realize visual-semantic alignment of the input wafer graph and the knowledge graph, and constructing a fine screen graph through graph path screening and a semantic connection scoring function; and designing a structured cue word construction and role adaptive generation strategy, and guiding the large model to output a query-oriented wafer graph defect semantic reasoning result. The method has higher visual semantic fusion capability, knowledge screening accuracy and multi-role semantic adaptability, and is suitable for defect root cause tracing and intelligent question and answer system construction tasks in the semiconductor manufacturing process.

The invention relates to the technical field of intelligent decision making, can be applied to business system platforms such as financial science and technology, medical health and the like, and discloses a question answer generation method, device, equipment and medium, and the method comprises the steps: collecting a plurality of question answers generated by questions, collecting the question answers generated by each question into a question and answer sample set, calculating a reward model score and a reference model benchmark score of each question and answer sample in the question and answer sample set one by one, fitting into a confidence coefficient curve, and dividing an answer retention interval; screening answers to the questions according to the answer retention interval, and calculating and updating an answer retention proportion in the question and answer sample set; optimizing the question and answer model according to the answer retention proportion, and generating a plurality of candidate answers of the user question by using the optimized question and answer model; and calculating candidate reward scores, retaining candidate answers corresponding to the candidate reward scores in the answer retaining interval, and performing semantic fusion on the answers to generate a final question answer of the user question. The accuracy of question answer generation can be improved.

This application relates to the field of circuit breaker status sensing technology, specifically to a method for collaborative telemetry sensing of the operating status of a feeder terminal unit (FTU) and a pole-mounted circuit breaker. The method includes: collecting internal temperature data of the FTU and current data of the circuit breaker's opening and closing coils; defining the start time of opening and closing based on the current data and a preset threshold, extracting current feature vectors and analyzing their anomaly degree, and constructing operational wear feature values; fitting the data with temperature as the independent variable and operational wear feature values ​​as the dependent variable to obtain residual temperature drift error and calculate residual temperature drift interference intensity; optimizing the observation noise covariance of the Kalman filter based on the residual temperature drift interference intensity to optimally estimate the circuit breaker's operating status. This application solves the problems of distortion in circuit breaker status measurement caused by hardware temperature drift and the difficulty of balancing response speed and smoothing accuracy in traditional fixed-parameter filtering, thus improving the reliability of early minor fault detection in pole-mounted circuit breakers.

The invention relates to the technical field of air conditioning equipment, in particular to a fresh air purification combined type energy-saving air conditioning all-in-one machine which comprises an outer shell, an air inlet module comprises a mixed air inlet pipeline, a fresh air inlet pipeline and a circulating air inlet pipeline, and the opposite faces of the fresh air inlet pipeline and the circulating air inlet pipeline are each provided with an insertion opening; a partition plate is slidably mounted between the fresh air inlet pipeline and the circulating air inlet pipeline, a rotating shaft is rotatably mounted at one end of the mixed air inlet pipeline, an electric control air cylinder is mounted at the upper end of the partition plate, two resistance rods are mounted on the side face of the partition plate through an L-shaped sliding rail and a sliding block, and the rotating shaft is fixedly sleeved with a resistance wheel. According to the air conditioning equipment, the partition plate is driven to move between the fresh air inlet pipeline and the circulating air inlet pipeline, flexible switching of three air inlet modes of fresh air inlet, circulating air inlet and mixed air inlet is achieved, the proper air inlet mode can be selected according to different use scenes and requirements, and the applicability of the air conditioning equipment is improved.

The invention belongs to the technical field of computer vision and deep learning, and provides a structured light point cloud denoising method combining image processing and local statistical filtering, which comprises the following steps: firstly, converting a point cloud into a three-coordinate image, carrying out binaryzation, carrying out connected region detection on the binary image to obtain a logic mask value of a maximum connected region, and carrying out local statistical filtering on the logic mask value; and filtering the three-coordinate image according to the logic mask value, performing local statistical filtering on a new three-coordinate image, and finally obtaining a clean point cloud. The method can effectively process the features of the structured light point cloud noise, is not sensitive to parameters, and can accurately eliminate the noise without special debugging.

The invention discloses a multi-Agent cooperation intelligent number asking method and system for a shipping database based on RAG enhancement. The method comprises the following steps: training a relationship mining model based on a historical shipping business data table of a shipping enterprise; determining ERD relation description among the target shipping service data tables by utilizing a relation mining model and combining with an automatic script; constructing a special shipping business knowledge base and an SQL corpus knowledge base; the query analysis Agent is utilized to analyze the user question intention, and query intention description is obtained; relevant ERD relation description, SQL corpora and the like are recalled in the two knowledge bases through the RAG technology, and an enhanced retrieval result is generated after rewriting and duplicate removal; based on the enhanced retrieval result, utilizing a plurality of SQL generation Agents to generate SQL statements in parallel, and utilizing a decision tree to score the generated SQL statements to determine the SQL statement with the highest score; and executing the SQL statement with the highest score, if execution fails, reasoning an error reason according to the SQL corpus knowledge base, feeding back the error reason to the SQL generation Agent, and regenerating the SQL statement.

The application relates to the technical field of medical care information science, and discloses a nursing auxiliary system based on artificial intelligence, which comprises a data verification module, a reference benchmark generation module, an alarm decision module and a monitoring and dispatching module. The system acquires bed displacement parameters, calculates displacement deviation variance, determines a weight adjustment factor, and then generates physiological benchmark reference data by using weighted recursive logic. Meanwhile, the system compares local mean values of physiological parameters with standard evolution vectors, so that the physiological benchmark reference data can be reset. The application dynamically modulates data weights based on physical displacement variance, fits the physiological relaxation process of a patient, solves the invalid alarm problem caused by the disconnection between physiological monitoring data and clinical context, and realizes the optimized scheduling of medical monitoring resources.

The invention relates to the technical field of distributed cache and memory computing, and discloses an SLRU page replacement algorithm optimization method based on Apache Ignite, and the method comprises the steps: constructing an improved SLRU data structure comprising a trial segment and a protection segment, and a page heat table based on an array index; the page access request is responded to update the popularity, access judgment based on a popularity threshold value is executed, and the page popularity is promoted to a protection section only when the page popularity of a trial section meets an access condition; monitoring the page view and the time interval, triggering dynamic heat attenuation, calculating an attenuation coefficient according to the hit rate of the protection section, and updating the total heat; monitoring the hit rate of the protection section, calculating the capacity expansion and contraction proportion, and dynamically adjusting the capacity proportion of the trial section and the protection section. Through the independent popularity model, the strict admission mechanism and the self-adaptive adjustment strategy, the cache pollution is effectively reduced, the problem of historical popularity lag is solved, and the cache hit rate and the resource utilization rate in a high-concurrency environment are improved.

The application provides a multi-layer mineralized filtering water cup, which comprises a cup body and a cup cover, a flip cover is hinged to the cup cover, a filtering drinking water part is arranged on the flip cover, a water guide hole is arranged on the cup cover, the filtering drinking water part is movably arranged in the water guide hole, and a pp cotton layer, an activated carbon layer, a medical stone mineralization layer and an ultrafiltration membrane layer are sequentially arranged along the water flow direction of the filtering drinking water part. The application can realize precise filtering, display the water quality safety grade in real time, dynamically calculate the filter screen life, adapt the mineral release amount to the water temperature change, connect the APP end through the Bluetooth module to record the drinking water data and push the filter screen replacement reminder, and has the drinking water effect of being suitable for drinking high-quality drinking water and supplementing the human body with essential trace minerals, so that the user can drink comfortably and healthily, the use is convenient, and the application is more comprehensive.