31results about How to "Achieve effectiveness" patented technology

The embodiment of the invention provides an image retrieval method, device and equipment for target image information. The method comprises the following steps: acquiring to-be-retrieved target image information; analyzing and extracting the target image information to obtain target image feature information; matching the target image feature information in a preset image data structured index database, and retrieving to obtain a retrieval result containing matched target image data and structured description information associated with the target image data; outputting a retrieval result; wherein the image data structured index database is obtained through the following processes: obtaining multi-modal original data containing images, videos and text descriptions of the same target object; performing content analysis and feature extraction on the multi-modal original data to obtain corresponding structured description information; and storing the structured description information as an index structure supporting feature-based matching retrieval according to a preset storage format. According to the embodiment of the invention, the deep semantic content of the image can be efficiently understood and accurately matched.

The invention provides an enterprise space appeal matching method based on an AI model, and the method comprises the following steps: collecting the multi-source sensing data of an enterprise space, and building a structured time-space information matrix through an access control, energy consumption, position and personnel label sensing terminal; constructing a causal relationship graph by using a structural causal modeling algorithm, and identifying key causal factors directly related to the spatial appeal; causal invariant characterization is extracted based on a multi-environment invariant risk minimization method, and an intervention effect model is established in combination with controllable intervention variables such as partition adjustment, capacity limitation and use strategies; generating an anti-fact sample of the candidate space unit by using an anti-fact reasoning mechanism, and calculating a matching adaptation score; establishing a matching optimization model according to constraint conditions such as topology, capacity, safety and moving lines; according to the method, high-precision and interpretable matching distribution under the conditions of complex space resources and multi-dimensional appeals is realized, and the method has the effects of flexible deployment, high matching stability and sustainable optimization.

The application discloses a power device, a preparation method and a vehicle, and relates to the technical field of power devices. The power device comprises a substrate, a central region of the substrate forms a cell structure, and a part of the substrate away from the central region forms a voltage-withstanding terminal; an edge position of the voltage-withstanding terminal is provided with a step part; and a first passivation layer is deposited on the step part, and ions are implanted in the first passivation layer to modulate a carrier distribution in the substrate at the voltage-withstanding terminal. The step part is arranged at the edge position of the voltage-withstanding terminal, the three-dimensional structure of the substrate is fully utilized, and the area of the voltage-withstanding terminal is reduced. The first passivation layer is deposited on the step part, and charged ions are implanted in the first passivation layer, so that the charged ions are pinned in the first passivation layer and cannot move with an applied electric field, and the purpose of modulating the carrier distribution in the substrate is achieved, and the effectiveness and stability of the voltage-withstanding of the voltage-withstanding terminal are effectively realized.

The invention provides an intelligent medical illusion detection method and system based on multi-modal data enhancement, and relates to the technical field of medical illusion detection. The method comprises the steps of collecting multi-modal medical data, and constructing an original multi-modal data set; performing data preprocessing on the original multi-modal data set, and generating a plurality of enhanced modal samples through semantic alignment and information fusion among modals by adopting a cross-modal data enhancement technology; modal feature vectors of the modal samples are extracted; according to the modal feature vector, determining a multi-modal consistency index; fusing the modal feature vectors, and determining an abnormal score; obtaining a semantic distance between the modal sample and a knowledge graph; determining illusion confidence; and according to the illusion confidence, judging whether medical illusion appears or not. According to the method and the device, the illusion content in the medical data can be detected according to the consistency of the multi-modal data, the abnormal score and the semantic distance between the multi-modal data and the knowledge graph, and the accuracy and the reliability of the medical data are improved.

The application discloses a kind of based on GiST spatial index multi-resolution fragmentation DEM database construction method, comprising: S1, with the resolution of fragmentation DEM image tile as hierarchical division standard;S2, existing DEM image tile is hierarchically divided according to S1 hierarchical division standard, to minimum outer rectangle as unit independent storage;S3, based on DEM image tile, the hierarchical structure rule of R tree is used to establish parent-child node relationship, and the initial R tree multi-resolution skeleton is constructed;S4, on the basis of initial R tree multi-resolution skeleton, uniform different hierarchical spatial relationship description rule is formulated, and according to the rule, the spatial correlation between DEM image tile is described, and the preliminary establishment of multi-resolution DEM database based on GiST spatial index is completed;S5, the DEM image tile to be stored is stored into database, and the database is improved.The application improves the performance of DEM data storage.

This invention relates to the field of data visualization and integration technology, specifically to a method and system for visually evaluating rehabilitation services. The method includes the following steps: acquiring and standardizing multi-dimensional indicator data; establishing a normalized matrix mapping parameter; and generating a set of visual evaluation charts for rehabilitation services. In this invention, by constructing a unified numbering set covering multi-dimensional indicators, effective organization and standardized management of data sources are achieved. Data fusion compatibility and accuracy are improved through field similarity comparison and unit conversion. Normalization calculations and grade grouping operations for values ​​such as service usage, resource allocation, job distribution, and fiscal expenditure ensure that various indicators are compared under a unified standard. Visual mapping of core parameters such as resource ratio, efficiency ratio, and coverage ratio is used. Interactive components and layer switching enhance the dynamic response and multi-view switching capabilities of the graphical interface, solving the problems of insufficient structure, single result presentation format, and lack of real-time performance in traditional evaluations.

The utility model relates to the technical field of waste heat recovery, and disclose an energy -conserving and environment -friendly coffee baking waste heat recovery device, including base, the base top is provided with recovery mechanism, the recovery mechanism top is provided with the equalizing mechanism. The device sets up recovery mechanism, can effectively recycle the waste heat produced in the coffee baking process. The air inlet pipe is connected with the exhaust pipe of coffee baking machine, and the high-temperature waste gas produced in the baking process is introduced into the first box body, and the heat in the waste gas is transmitted to the water in the second box body through the circulating pipeline, realizing the effective recovery and utilization of heat, improving the energy utilization efficiency, meeting the concept of energy saving and environmental protection, the filter plate design in the recovery mechanism can filter the impurities in the waste gas, prevent the impurities from entering the subsequent circulating system, and ensure the stable operation of the system. The filter plate is fixed through the rotating plate and the bolt, and is convenient to disassemble, convenient for regular cleaning or replacement, reduces the maintenance cost, and prolongs the service life of the equipment.

This invention provides a method and system for monitoring the health status of utility tunnels based on multi-source data, belonging to the field of utility tunnel monitoring technology. First, it acquires a set of multi-source sensor data streams from the monitoring sections inside the utility tunnel, including distributed fiber optic acoustic wave sensing streams, thermal imaging grayscale streams from the inner wall of the tunnel, and micro-motion sensing streams from the joints of tunnel segments. Then, it processes each type of data stream to obtain a key feature set. Next, it constructs a distributed cooperative topology network and maps the feature set, generating a physical field coupling mapping relationship between sections. This physical field coupling mapping relationship is then used to drive a utility tunnel state offset tracking sequence, tracing the source of abnormal states and generating source path information. Finally, it generates a utility tunnel state assessment instruction set based on the abnormal state source path information. This invention can comprehensively and accurately monitor the health status of utility tunnels and promptly identify weak points.

The invention belongs to the technical field of document retrieval, and particularly relates to a multi-modal long document retrieval method based on hierarchical representation and double-branch retrieval. According to the method, three-level hierarchical document representation composed of an element level, a page level and a chapter and section level is constructed by designing hierarchical features oriented to a document structure; a double-branch retrieval mechanism is used for conducting semantic-level matching and feature-level matching on queries, and a final evidence set is generated through a fusion strategy. According to the method, the cross-page semantic association and the fine-grained visual clues can be utilized at the same time, effective retrieval and information positioning of the multi-modal long document are achieved, the retrieval requirements of documents with different layout forms and different lengths in a real scene are met, and the method has important practical application value.

The invention belongs to the technical field of culture substrates, and particularly relates to a granular material prepared on the basis of biomass leavening and mineral substances and application of the granular material as a culture substrate. The granular material provided by the invention comprises the following raw materials: mineral powder, a biomass fermentation product, a polysaccharide-acid compound and a binder, the polysaccharide-acid compound is composed of chitosan and potassium humate, the polysaccharide-acid compound is loaded on mineral powder by adopting a vacuum negative pressure impregnation method, and finally the granular material is prepared. The granular material is stable in structure and high in moisture and fertilizer retention capacity, has biological activity and is environmentally friendly.

This invention relates to a rapid, non-destructive testing method and system for lipid content and deterioration degree in red pine nuts based on hyperspectral imaging and deep learning. The invention belongs to the field of non-destructive testing technology for agricultural and forestry product quality and safety. It addresses the problems of existing methods for detecting lipid content and oxidation degree in red pine nut kernels, which generally suffer from complex operation procedures, high costs for large-scale testing, long processing times, and difficulty in achieving full-process testing during storage and transportation. Key technical points: The original near-infrared spectral data of pine nut samples are obtained through hyperspectral acquisition; the true values ​​of lipid reference content and reference degree of oxidation deterioration of pine nut samples at different sampling times are determined, and a database is established based on these values. The original near-infrared spectral data of red pine nuts are preprocessed, and the data from different batches of red pine nut samples are divided into training and validation sets. An improved one-dimensional dilated convolutional network based on a dynamic weight allocation module is designed to construct a deep learning model suitable for the spectral feature analysis of red pine nut kernels. The constructed model is trained using a backpropagation algorithm, and the network weight parameters are updated in reverse by minimizing the loss function. When the constructed model meets the requirements for rapid detection, it can be used for efficient and non-destructive simultaneous detection of lipid content and oxidative rancidity in red pine nuts.

The application relates to the technical field of satellite cloud parameter inversion and deep learning cross, and provides a satellite cloud amount inversion method and device based on space-time physical joint driving. The method fully utilizes the high time resolution advantage of a stationary satellite, explicitly extracts a cloud cluster motion trajectory and performs non-rigid space alignment, so as to effectively fuse space-time feature information of multiple time points, multiple channels and multiple scales, realize high-precision and high-space-time resolution space-time inversion of a continuous cloud amount field, and thus provide more accurate and reliable continuous cloud amount field data support for downstream fine weather prediction, climate monitoring, atmospheric radiation transmission simulation and solar energy resource evaluation and the like.

This invention relates to a multi-field-of-view coding method and system based on intermediate image plane polarization mask modulation, belonging to the field of space optics technology. It addresses the technical problems in existing technologies where feature aliasing and mutual interference easily occur when multi-field-of-view signals are superimposed, and where encoded features are easily distorted in the presence of optical errors or system deviations. The coding method includes the following steps: multi-field-of-view division; polarization coding parameter allocation; polarization modulation implementation; optical folding and signal superposition; and coding result output. The multi-field-of-view coding method and system based on intermediate image plane polarization mask modulation of this invention, by introducing polarization modulation in the imaging stage, maps multi-field-of-view spatial information to the polarization dimension, realizing an extension from traditional "scalar intensity coding" to "vector polarization coding."

This invention relates to a three-dimensional enclosed dust suppression system and control method for intelligent spraying on coal mining faces, belonging to the field of coal mine dust suppression control. It includes a coal mining machine, an onboard spraying system, and a tracking spraying system. The coal mining machine transports coal via a scraper conveyor. Rocker arms are located at both ends of the coal mining machine, with drums for coal mining mounted on the rocker arms. The onboard spraying system is positioned at the root of the rocker arms to enclose the drums at both ends of the coal mining machine. The tracking spraying system is mounted on the scraper conveyor and located beside the coal mining machine. The tracking spraying system is connected to a control system to activate the spraying devices near the front and rear drums of the coal mining machine in real time, guiding the dust-laden airflow generated by the coal mining machine towards the coal face. The onboard and tracking spraying systems create a three-dimensional enclosed space around the coal mining machine, preventing dust from spreading throughout the working area with the airflow, thus improving the overall dust suppression effect.

A transmission tower defect identification method based on an improved YOLOv11 algorithm belongs to the technical field of defect identification, and designs an improved YOLOv11 network model, firstly designs and adds a HorNet high-order interactive recursive gating network module in a Backbone network, and through gating convolution and recursive structures, fuses information of different widths, and improves the capability of accurately identifying target defects; secondly, a Conv standard convolution module in the Backbone network is replaced by a GhostConv ghost convolution module, so that the calculation amount and the parameter amount are greatly reduced; and finally, a RepViTblock re-parameterization visual transformation module is added in the Neck neck network design, each pixel position in the input image is mapped to a vector space, and the precision and efficiency of target detection are improved. The method is high in identification accuracy and high in identification efficiency, and fully guarantees the safe and stable operation of the power transmission line.

The utility model discloses an industrial silicon smelting device, which belongs to the technical field of industrial silicon smelting and comprises a furnace body and a connecting box, sliding plates are symmetrically mounted on two sides of the inner wall of the connecting box in a sliding manner, and a first guide plate, a first screening plate and a second screening plate are fixedly mounted on the sides, close to each other, of the two sliding plates in a staggered manner; a supporting plate is fixedly installed between the two sliding plates, a supporting frame is fixedly installed between the two sides of the inner wall of the connecting box, crushing rollers are symmetrically and rotationally installed on the inner wall of the supporting frame, a driving assembly is installed at one ends of the crushing rollers, and a transmission assembly matched with the driving assembly is installed on the supporting plate; a partition plate is fixedly installed at the bottom end of the inner wall of the connecting box, a first discharging pipe is fixedly installed on one side of the connecting box, a vertical pipe is fixedly installed at one end of the first discharging pipe, and a conveying assembly is installed in the vertical pipe. The device has the advantages that the smelting efficiency and the particle screening precision are improved, crushing and screening are integrated, maintenance and cleaning are convenient, and partition is clear.

This application provides a pot support and a cooktop. The pot support includes a pot frame body and a pulsating heat pipe. The pot frame body is annularly arranged and has an enclosing combustion chamber for housing a burner and allowing the burner's flame to pass through. The pot frame body has a preheating chamber and a secondary air flow channel connected within it. The secondary air flow channel transports secondary air flowing through the preheating chamber to the burner. The pulsating heat pipe is disposed within the pot frame body and has an evaporation end located near the combustion chamber and a condensation end located away from the combustion chamber. The condensation end is located within the preheating chamber, and the inside of the pulsating heat pipe is sealed and filled with a heat exchange medium. The heat released from the condensation end is used to heat the secondary air in the preheating chamber. At least a portion of the wall surface of the secondary air flow channel is formed by the top surface of the pot frame body. This technical solution enables waste heat recovery from the pot support and preheating of the combustion air, effectively improving the heat utilization efficiency of the cooktop.

The utility model relates to the technical field of tire pressure monitoring, and discloses a tire pressure monitoring device and a vehicle, the tire pressure monitoring device comprises a sensor body and an inflating valve, the sensor body is provided with a first connecting end and a first positioning part on the first connecting end, and the end part of one side of the inflating valve is provided with a second connecting end rotationally connected with the inflating valve; and a second positioning part is arranged on the second connecting end. The first positioning part and the second positioning part are arranged in a matched mode and movably connected, and the first positioning part or the second positioning part is provided with a guide track extending in the rotation direction of the inflating valve relative to the sensor body and used for guiding and limiting rotation of the inflating valve. Therefore, the relative angle between the inflating valve and the sensor body can be flexibly adjusted. According to the device, the mounting angle can be flexibly adjusted according to the mounting requirements of hubs of different vehicle types, the universality, the adaptability and the mounting convenience are improved, and good stability and structural reliability are achieved.

The utility model relates to connector technical field, concretely is a kind of anti-pulling connector, including socket, recess is set in the socket side, the recess inside swing installation has the lever, the utility model work process can be divided into insertion, locking and unlocking three stages, insertion stage: plug is inserted into alignment insertion slot, tenon pushes out fixture to open outwards, lever is linked with fixture at this time, convex axle is located at the bottom of sliding groove, locking stage: when plug is completely inserted in place, lever is raised, convex axle is driven along sliding groove to slide downward by sliding groove, push-pull lever is followed to push fixture to rotate inwards, make that card slot and tenon are completely engaged, while spring is compressed to produce elastic potential energy, maintain locking state, unlocking stage: press down lever, convex axle slides, push-pull lever drives fixture to open outwards, release the locking of tenon, at this time, plug can be smoothly pulled out, the whole process is realized by mechanical linkage, need not extra tool, it is easy to operate and high reliability.

This utility model relates to the technical field of workpiece surface processing equipment, and discloses a belt-driven sandblasting chamber, including a sandblasting chamber. A support is provided at the front right end of the sandblasting chamber, and a conveying mechanism is provided at the bottom of the sandblasting chamber for collecting used sandblasting shot. A dust removal mechanism is provided at the front of the sandblasting chamber for removing dust from inside the device. An auxiliary mechanism is provided inside the sandblasting chamber. The conveying mechanism includes a fixed frame, the top of which is located at the bottom right side of the sandblasting chamber. A housing is fixedly connected to the inner side of the fixed frame, and a motor is fixedly connected to the right rear side of the housing. In this utility model, the sandblasting shot slides onto the belt conveyor and is transported to the housing. The rotating screw shaft pushes the sandblasting shot to the elevator, which then sends it to the separator. After impurities are separated, the shot is sent to the shot blasting tank, realizing the recycling and reuse of the sandblasting shot.

The present disclosure relates to a power distribution network service hot migration method and device, electronic equipment, storage medium and computer program product. The method comprises: obtaining resource information of each edge node in a plurality of edge nodes contained in a power distribution network and load information of services on each edge node; inputting the resource information of each edge node and the load information of the services on each edge node into a residual network contained in a trained service migration prediction model to obtain a feature representation; inputting the feature representation into a migration strategy decision module contained in the service migration prediction model to obtain a service migration instruction, wherein the service migration instruction is used to indicate a to-be-migrated service and a migration path and a migration destination edge node corresponding to the to-be-migrated service; and issuing the service migration instruction to an edge node containing the to-be-migrated service in the plurality of edge nodes, so that the edge node containing the to-be-migrated service performs hot migration on the to-be-migrated service based on the service migration instruction.

The invention relates to the technical field of vehicle exit analysis, and discloses a vehicle exit analysis method and system based on machine learning and big data, and the method comprises the steps: constructing a multi-source data collection system, collecting multi-source data related to a vehicle exit, and carrying out the preprocessing, and obtaining a standard analysis data set; constructing a multi-dimensional association knowledge graph, performing association mining to obtain a plurality of conduction paths of each core index, and determining a plurality of weighted feature sets according to all the conduction paths; training a vehicle exit analysis model according to all the weighted feature sets and an ensemble learning algorithm, analyzing data collected in real time by using the trained vehicle exit analysis model, and outputting a prediction result of a vehicle exit trend; and according to the prediction result and a pre-constructed decision rule base, generating a vehicle exit decision, and through effective fusion and relation mining of multi-source heterogeneous data, improving key index prediction accuracy, thereby realizing accurate prediction and decision support of a vehicle exit trend.

The application discloses a target detection method and system in a sea fog environment, comprising the following steps: acquiring a sea fog image, constructing a gated shared feature extraction network, and generating sea fog features and object features to be detected in the image by using the gated shared feature extraction network; constructing a target detection network, and identifying target features in the object features to be detected by using the target detection network; generating a mask image corresponding to the image containing only the target features; constructing a target-guided defogging network, and guiding the target-guided defogging network to optimize the sea fog around the target features in the image by using the mask image, so as to obtain a target-enhanced feature map; and identifying target position information in the target-enhanced feature map. The sea fog image is processed by the gated shared feature extraction network, the target detection network and the target-guided defogging network, so that the problem that target recognition is difficult due to sea fog interference in the image is effectively solved, and the precision and reliability of target detection in a sea fog environment are improved.

The utility model discloses a kind of waste gas recycling equipment of waste coal tar regeneration treatment, it is related to waste coal tar regeneration treatment technical field, and the utility model includes base, the upper portion of base is equipped with collection mechanism, for the waste gas generated in its waste coal tar regeneration treatment Organic solvent collection, collection mechanism includes: recycling assembly includes the recycling tower of being arranged in the top end side of base, waste gas is preliminarily gas-solid separation by cyclone separator, remove larger particle impurities, after purification waste gas makes waste gas uniform dispersion ascending by dispersion hole, under the action of circulating pump, absorption liquid in storage tank is transported to spray head by conduit, evenly sprayed in recycling tower, make its waste gas and absorption liquid fully contact, organic solvent in waste gas is captured, dissolved by absorption liquid, absorption liquid is recycled by backflow storage tank under the action of gravity, to greatly improve the recovery efficiency of organic solvent, reduce the content of organic solvent in waste gas.

This invention discloses a method and system for extracting slow-moving small targets on the sea surface, relating to the field of radar target detection. The method includes: acquiring pre-processed data from multiple scanning cycles and performing initial threshold detection to obtain threshold-crossing echoes for each scanning cycle; clustering multiple threshold-crossing echoes to form multiple threshold-crossing echo clusters; recording the number, position, and amplitude of threshold-crossing echoes within each cluster; performing correlation accumulation processing on each threshold-crossing echo cluster; performing multi-cycle joint detection and decision-making on each threshold-crossing echo cluster after correlation accumulation processing; obtaining threshold-crossing echoes from the clusters that pass the decision-making process; obtaining target trace information based on the threshold-crossing echoes from the clusters that pass the decision-making process; and outputting the target trace based on the target trace information to complete target extraction. This method effectively extracts slow-moving small targets on the sea surface and significantly improves the detection capability of slow-moving small targets against sea clutter backgrounds.

The invention discloses a reactive power metering method suitable for a nonlinear load, and belongs to the technical field of power grid metering, and the method comprises the steps: obtaining all-condition electrical data, and obtaining a load harmonic feature vector data set based on the all-condition electrical data; constructing a load classification model based on the load harmonic feature vector data set; acquiring a real-time feature vector based on the current operation data; obtaining a load type based on the real-time feature vector and a load classification model; inputting the real-time feature vectors into the exclusive load correction model to obtain equivalent circuit parameters; obtaining a virtual optimal circuit structure based on equivalent circuit parameters, and obtaining a high-precision reactive power value; acquiring a universal reactive value based on the real-time feature vector and a universal reactive correction model; and obtaining a nonlinear load reactive power calculation result based on the high-precision reactive power value and the general reactive power value. According to the reactive power metering method suitable for the non-linear load disclosed by the invention, the accuracy and the stability of the reactive power metering of the non-linear load are realized.

This invention relates to an adaptive perception and feature recovery method for aircraft wiring harness assembly target detection in complex assembly environments, encompassing computer vision and aircraft manufacturing assembly technologies. It addresses the issue of poor target detection performance caused by feature degradation in complex assembly environments, where existing target detection algorithms cannot guarantee real-time performance. The invention constructs a perception-recovery coupled target detection network structure by introducing an environmental interference perception auxiliary task into the target detection network and combining spatial attention and channel statistical modeling mechanisms. The target detection network includes an environmental interference perception auxiliary classification branch unit, a spatial attention unit, sub-channel units, a backbone network, a neck unit, and a detection head unit; thereby achieving dynamic perception and effective compensation for degraded features in complex assembly environments during the detection process. This invention is primarily used for environmental interference category prediction and wiring harness assembly target detection.

This application provides a method and related apparatus for determining shortened operating cycles for Chinese light-duty vehicles. The method determines an initial shortened operating cycle based on the initial deceleration time of the target vehicle model. Then, it acquires first test data of the target vehicle model tested under the initial shortened operating cycle. Next, based on the first test data, it determines the second-generation deceleration time of the second-generation shortened operating cycle. Finally, it acquires second test data of the target vehicle model tested under the second-generation shortened operating cycle. Based on the second test data, it determines the target shortened operating cycle for the target vehicle model. Therefore, the validity of the test results can be achieved through two tests, avoiding the problem of repeated testing caused by manually assigning values ​​to approximate valid results, reducing time and cost, and enabling the rapid determination of shortened operating cycles for different Chinese light-duty vehicle models.

The utility model discloses an aluminium plate with good scratch resistance belongs to aluminium plate technical field, this aluminium plate with good scratch resistance, including light gauge steel, the outside of light gauge steel is fixed with mounting frame shell through bolt, the inside of mounting frame shell is equipped with the clamping mechanism that can fix two horizontal adjacent aluminium plate, the inside of clamping mechanism is equipped with the plug -in mechanism that can fix two vertical adjacent aluminium plate, the inside clamping of plug -in mechanism is fixed with installation aluminium plate, both sides of installation aluminium plate are equipped with the plug -in hole, and the top of installation aluminium plate is equipped with scratch -resistant layer. The utility model discloses being equipped with plug -in mechanism, can fix the plug -in of two adjacent aluminium plate of vertical, has realized the direct connection and effective constraint between adjacent aluminium plate, has improved the stability of whole aluminium plate structure under the action of wind pressure, earthquake and other external force greatly, prevents aluminium plate and shifts, and the phenomenon such as shaking and falling off.

The present application relates to a kind of information monitoring and tracing method and system based on voiceprint and semantic analysis, by introducing the condition triggering mechanism of prior analysis of non-content features such as voiceprint and emotion, risk confidence threshold triggering deep semantic understanding, effectively solve the privacy invasion and waste of computing power problem brought by full-time full analysis mode. Only when the comprehensive risk assessment shows that there is real risk, the voice content is analyzed directionally, and the balance of privacy protection and effective monitoring is realized. At the same time, by fusing the multi-modal features such as voiceprint, emotion, environmental sound and risk assessment, and establishing an anonymous voiceprint behavior database for historical tracing, the accuracy and depth of risk identification are significantly improved, so that the system can not only alarm in real time, but also provide the behavior trajectory and pattern analysis of the subject involved, realize the leap from single event alarm to continuous risk research and tracing, and provide more comprehensive and intelligent decision support for managers.