1912results about How to "Improve continuity" patented technology

The invention relates to a low-loss corner-lifting and movement tearing cooperative type film tearing process of a screen display glass protective film. The process comprises the following steps: S1, tearing a film on an A surface; s2, transferring the screen display glass; and S3, tearing the film on the surface B. On one hand, in single-face film tearing, based on cooperation of the film tearing clamping jaw, the rolling wheel and the air nozzle, angle lifting is completed while the film tearing angle adhesive force is kept larger than the protective film tearing force, the damage and fracture rate of an adhesive tape and a corner is reduced, the high angle lifting success rate is achieved, meanwhile, through movement cooperation of the screen display glass and the film tearing clamping jaw, the film tearing difficulty is low, control is easy, and the film tearing efficiency is improved. The integrity and continuity of film tearing are high; on the other hand, overturning of the screen display glass is not needed in double-sided film tearing, transferring of the screen display glass is achieved in the protective film tearing process, the accidental friction rate in the glass overturning process is reduced, the structure is optimized, the layout space is greatly reduced, the equipment is miniaturized, and the double-sided film tearing efficiency of the equipment for treating the screen display glass is also improved.

The invention relates to a protective film uncovering process based on corner lifting and rolling cooperation type screen display glass. The protective film uncovering process comprises the following steps: S1, corner lifting; s2, tearing off; and S3, collecting the film. On one hand, through cooperation of the film tearing clamping jaw and the rolling wheel, step-by-step peeling with the rolling position and the peeling position aligned is kept, meanwhile, the angle between the connecting section and the screen display glass is gradually increased on the basis that the connecting section is turned inwards under the condition that the adhesion section is not stressed, the success rate of forming an inwards-turned peeling angle is greatly increased, and the production efficiency is improved. The probability that the film-tearing adhesive tape is separated from the protective film or the corner of the protective film is torn is reduced; on the other hand, the complete tearing rate of the protective film is increased based on the relative movement of the glass and the film tearing clamping jaw, the tearing risk of the protective film is reduced, more labor-saving and faster diagonal tearing is achieved, meanwhile, based on pulling formed by the film collecting clamping jaw and the film tearing clamping jaw and airflow blowing cooperation formed by the film collecting clamping jaw and the film tearing clamping jaw, the completeness of film collecting is improved, and the production efficiency is improved. And the problem that the film tearing adhesive tape is adhered to the film tearing clamping jaw is solved, so that the continuity of peeling off the protective film is improved.

The invention relates to the technical field of turning equipment, and discloses turning equipment for a precision bearing assembly, which comprises two symmetrically arranged chucks, a rotation driving assembly for driving the chucks to rotate, a driving base for driving the chucks to translate, and a cutting mechanism for cutting a workpiece, a plurality of first sliding grooves are formed in the chuck in the radial direction, the first sliding grooves are formed in the chuck in a penetrating mode, first sliding bases are slidably installed in the first sliding grooves, and sliding type fixing rods are arranged in the first sliding bases in a penetrating mode; through the arrangement of composite positioning of the axial adjustable sliding type fixing rod and the two-way double chucks, adaptive clamping of long cylindrical blanks with different axial lengths is achieved, and the fixing mode that inner hole multi-point supporting and end face pressing are combined is adopted; the problems of blank local deformation, rotation eccentricity and low coaxiality caused by a traditional clamping mode are effectively solved.

The invention relates to the technical field of wastewater treatment, and discloses a multi-stage wastewater treatment device for wood production, which comprises a treatment tank, and further comprises a filter cartridge I and a filter cartridge II which are cylindrically arranged in the treatment tank, and the filter cartridge II is positioned in the filter cartridge I and is used for sequentially separating impurities in wastewater; the water outlet pipe is arranged at the bottom of the filter drum II and is used for guiding out the treated wastewater; the water inlet pipe is arranged at the bottom of the treatment tank. By adopting the filter cartridge I and the filter cartridge II, continuous multi-stage filtration from rough filtration to fine filtration is realized, saw dust, fibers and other impurities with different particle sizes are removed at one time, meanwhile, online self-cleaning is synchronously carried out, and rotary filtration and filter screen cleaning are synchronously carried out through motor driving; therefore, the problem that traditional filtering equipment must be frequently shut down and manually cleaned due to quick blockage of a filter screen is solved, continuous and uninterrupted efficient operation of the wastewater treatment process is ensured, and the overall treatment efficiency and production continuity are greatly improved.

The invention provides a multi-process-mode intelligent switching method and system for vehicle-mounted sludge treatment, and the method comprises the steps: carrying out the time-space alignment and standardization of multi-dimensional sensing data such as sludge characteristics, environmental parameters and equipment states, carrying out the real-time reasoning of a process switching critical value through combining with a lightweight incremental regression model, generating a self-adaptive threshold value band with a confidence interval, and carrying out the real-time reasoning of the process switching critical value. Dynamic monitoring and mode switching pre-judgment of actual operation parameters are realized; in the switching process, a weighted fusion progressive transition control strategy is adopted, the transfer rate is adaptively adjusted according to real-time feedback, the operation stability is guaranteed, and the intelligence, reliability and switching smoothness of process switching of the vehicle-mounted sludge treatment system are remarkably improved.

The invention provides an excitation amplitude automatic closed-loop control system and method for a DLCP test. The system comprises a multi-frequency alternating current excitation and direct current bias voltage applying module which is used for automatically applying alternating current excitation signals and direct current bias voltage signals according to a preset excitation amplitude sequence under a plurality of test frequencies; the PID closed-loop control module is used for performing closed-loop correction on the applied voltage according to the response of the test port of the tested semiconductor device, so that the condition of the applied voltage at the test port meets a preset requirement; the capacitance measurement module is used for acquiring an equivalent capacitance response signal of the tested semiconductor device; the capacitance test data caching module is used for performing associated marking and classified caching on the capacitance test data according to the test frequency, the excitation level and the bias voltage set point; and the main control module is used for coordinating automatic test processes under the conditions of a plurality of test frequencies and different excitation amplitudes and outputting corresponding capacitance test data so as to improve the consistency, stability and automation degree of the DLCP test.

The invention discloses a cable tunnel autonomous obstacle avoidance inspection method, system and equipment based on multi-sensor fusion and a medium, and relates to the technical field of data processing, and the method comprises the following specific steps: correcting motion data collected by an inspection robot, carrying out pre-integration calculation according to the corrected motion data to obtain motion change data, and carrying out data processing on the motion change data; and predicting a frame state vector of the robot at the current moment, carrying out laser vision tight coupling optimization of the inspection robot, carrying out state prediction on a dynamic obstacle, carrying out collision risk assessment in combination with the frame state vector of the inspection robot, and establishing a path planning objective function to carry out real-time path re-planning. According to the method, the problem that the convergence speed and the real-time performance of a traditional algorithm are difficult to balance in a dynamic complex scene is solved through laser and vision tight coupling optimization. Through dynamic obstacle prediction, probability risk assessment and real-time path planning, an autonomous inspection system with active obstacle avoidance and real-time path generation capabilities is established.

The invention discloses a material tracking system for battery production, and particularly relates to the technical field of production data traceability, a process topology constraint model is constructed based on a production process, and a material flow expected path is generated; collecting behaviors of the materials in each station to form a material circulation time sequence track; matching the time sequence track with the process topology constraint model to generate a process legality state; controlling association establishment of process data and material identifiers according to a process legality state, and isolating and re-checking data which do not meet constraints; a source identifier is introduced into the process data and is bound with the process legality state, and finally a material production resume record is generated; according to the invention, through process topology constraint and behavior time sequence matching, accurate tracking of material circulation in a dynamic production scene is realized; abnormal path data is prevented from entering associative storage through legality judgment and associative gating; through source identification and resume integration, the traceability and the rechecking reliability capability of the material production process are improved.

The invention relates to a multi-shaft compressor unit and a control method thereof, in particular to a steam-electricity double-drive multi-shaft compressor unit connected with double clutches and a control method of the steam-electricity double-drive multi-shaft compressor unit. The technical problems that in the prior art, a pure electricity mode, a pure steam mode and a steam-electricity double-drive mode cannot be switched on line, and when steam is sufficient, a motor cannot be disengaged, so that energy is wasted are solved. The system comprises a multi-shaft compressor, a steam turbine, a motor, a first clutch, a second clutch, a steam flow sensor, a controller and a rotating speed sensor. The multi-shaft compressor comprises a driving shaft; the driving shaft is provided with two driving ends which are respectively a first driving end and a second driving end; the output shaft of the steam turbine is coaxially connected with the first driving end through a first clutch; an output shaft of the motor is coaxially connected with the second driving end through the second clutch; and rotating speed sensors are arranged on the first driving end, the second driving end, the steam turbine and the output shaft of the motor.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention discloses an electromagnetic wire self-adhesion performance data acquisition and intelligent analysis method, and relates to the technical field of data analysis. Multi-source data such as turn-to-turn gap, paint layer residual thickness, tension fluctuation and conduction state are synchronously acquired in the winding process; and analysis mechanisms such as a gap reduction rate, paint layer thinning distribution, a synchronous evolution track and a gap strength response curve are introduced, so that continuous modeling and quantitative characterization of the autohension performance evolution process are realized. Compared with the prior art which only depends on a single gap threshold value or a post mechanical test to judge the bonding performance, the method can be started from a complete physical chain from gap change to paint layer extrusion to metal contact to bonding failure, and the change trend of the bonding performance under different gap levels can be accurately revealed; and tension output is corrected in real time through a self-adaptive algorithm, closed-loop optimization of the bonding quality is achieved, and the product percent of pass and the production efficiency are improved.

The invention belongs to the technical field of image processing, and particularly relates to a passive domain adaptive eye fundus image segmentation method based on adaptive mask and curvature regularization, which comprises the following steps: constructing a teacher-student self-training framework, and generating a pseudo tag by using a weak enhancement teacher model to guide student model training, an adaptive mask consistency strategy is introduced in the training process, adaptive mask processing is carried out on a target domain image, the mask proportion and size are adaptively adjusted according to the sample difficulty and the size of a pseudo-label area, a model is guided to keep prediction consistency under the shielding condition, and thus the pseudo-label reliability and the context modeling capability are improved; meanwhile, by introducing an average negative curvature regularization constraint, an irregular boundary in a prediction result is suppressed, the smoothness and structural continuity of a segmentation result are enhanced, and finally the precision and generalization ability of the model in a cross-device and cross-dataset fundus image segmentation task are improved.

The utility model discloses a dam grouting cover plate concrete pouring formwork lifting device, and relates to the technical field of water conservancy projects, in particular to a dam grouting cover plate concrete pouring formwork lifting device which comprises a combined steel formwork, and the upper surface of the combined steel formwork is fixedly connected with a supporting plate. A guardrail A is fixedly connected to one side of the supporting plate, and a steel frame is fixedly connected to the other side of the upper surface of the combined steel formwork. During use, after a grouting cover plate foundation is excavated, a winch is installed on the top of the foundation, a balance weight is made, the combined steel formwork is connected through a steel rope, the winch is used for moving the combined steel formwork to the position where concrete is poured, a formwork balance weight block is installed on the combined steel formwork to be fixed after the balance weight is determined, and the formwork balance weight block is moved out after the concrete is poured. And the combined steel formwork is lifted to the position of the next bin to be fixed through a winch, and after the combined steel formwork is lifted, a specially-assigned person is dispatched to the operation platform for plastering of the previous pouring bin.

The invention provides a multi-type storage cluster dynamic nano-management method based on a cloud platform, and belongs to the technical field of cloud platform storage resource management, a storage pool is used as a minimum management unit, a configuration center provides a unified nano-management entrance and is associated with a platform initialization process, and initialization of standardized parameters such as a storage cluster IP, an account and the like is automatically completed; after management, block storage, file storage or object storage types and exclusive parameters thereof are configured for the storage pool according to business requirements, and available storage pools are screened according to binding relations when storage services are created, so that resource mismatching is avoided. Bidirectional synchronization is carried out between the operation and maintenance resource management module and the storage module through a full life cycle by using an equipment SN number, so that state consistency and traceability are realized; expansion of newly added storage pools, unbinding of the storage pools and resource recovery are supported, and the resource utilization rate and the operation and maintenance efficiency are improved.

The invention discloses an emergency communication system and method, and belongs to the field of emergency communication. The emergency communication method comprises the following steps of: acquiring a link performance parameter of a satellite communication link associated with an adjacent station node; based on the state information and the satellite communication link state of the local station node, executing at least one of the following scheduling operations on the service data: determining a first transmission performance index for transmitting data through the satellite communication link of the local station node, determining a first transmission performance index of a composite path from a wireless ad hoc network to the adjacent station node based on the state information, determining a second transmission performance index of a composite path from the wireless ad hoc network to the adjacent station node and transmitting data through a satellite communication link of the adjacent station node based on the state information, and selecting a forwarding path according to a comparison result of the first transmission performance index and the second transmission performance index; or, when the flow of the data to be transmitted meets the preset bandwidth aggregation condition, dividing the data to be transmitted into the first data part and the second data part.

The invention relates to the technical field of power system energy storage equipment testing, in particular to a small and medium-sized industrial and commercial energy storage cabinet twin-trawling testing system which comprises a main loop, a secondary control loop and an anti-countercurrent detection unit, the main loop comprises double testing loops and four sets of alternating current contactors, and multi-machine twin-trawling testing frameworks such as one-to-one, one-trawling-two and one-trawling-three can be flexibly combined; independent switching between grid connection and grid disconnection is supported, the secondary control loop comprises a button with a lamp and a grouping reset button, and the countercurrent prevention detection unit detects the energy flow direction in real time through an intelligent electric meter and a current sensor and has a mains supply charging function. According to the test system, through a double-loop parallel test architecture and a multi-machine flexible combination design, the system can be synchronously butted with multiple energy storage cabinets to carry out parallel test, the test efficiency can be improved, and a safety system with anti-countercurrent detection, rapid mode switching and precise control protection guarantees the test safety; the arrangement of the standardized terminal and the button with the lamp simplifies the operation difficulty, and reduces the test threshold.

The invention discloses a cloud edge end collaborative computing power scheduling system supporting task dynamic migration, which relates to the technical field of intelligent computing power scheduling and comprises a path modeling module, a conflict identification module, a time sequence checking module, a rehearsal switching module and an interference suppression module, and constructing a routing convergence time sequence profile and a link playback spectrum, modeling an overlapping window of the old path and the new path and a life cycle of a control signal, and generating a path evolution baseline for subsequent conflict identification. By means of path modeling, fingerprint identification, causal check, shadow rehearsal, interference suppression and the like, time sequence consistency of a control instruction and a data stream, continuous path switching and real-time extinguishing of link interference are realized, and the stability and reliability of cloud edge collaborative scheduling are improved.

The invention relates to the technical field of solid state disks, in particular to a solid state disk ID and hardware state synchronization method, a controller, a system and a medium. Comprising the following steps: S1, before a system enters a dormant state, acquiring and persistently storing initial identification information of NVMe equipment by a driving layer; s2, after the system is awakened from the dormant state, executing multiple rounds of identifier query operation on the NVMe equipment; s3, calculating an identifier change rate based on a multi-round query result and the initial identifier information, and if the identifier change rate is lower than a first preset threshold value, judging that the interference is temporary interference, and maintaining an equipment link; if the identifier change rate is higher than a first preset threshold value, entering a step S4; and S4, acquiring real-time state parameters of the physical layer of the NVMe equipment, verifying the real-time state parameters, recovering the link if the real-time state parameters pass the verification, and resetting the NVMe equipment if the real-time state parameters do not pass the verification. Compared with the prior art, through state analysis, cross validation and joint judgment, the misjudgment rate caused by instantaneous change of the ID of the equipment is remarkably reduced.

The invention discloses an image fusion method based on a double-branch feature decoupling auto-encoder, and belongs to the field of computer vision and image processing. According to the method, for the problems of modal pollution and structural distortion in infrared and visible light image fusion, structural semantic information and high-frequency texture details of a source image are extracted respectively by constructing a content feature coding module and a detail feature coding module, and feature decoupling is achieved. And performing deep fusion on the decoupled features by using an adaptive feature weighting mechanism, and reconstructing a fused image with infrared target saliency and visible light detail definition through a shared decoder. According to the method, an end-to-end two-stage training strategy is adopted for optimization, complex prior or post-processing is not needed, the effects of improving the fused image contrast, edge preservation and target recognition performance are remarkable, and the method is suitable for the fields of weak light monitoring, intelligent perception, unmanned system navigation and the like.

The invention discloses a door lock cooperative voice transmission method and system, and the method comprises the steps: triggering a voice call connection process according to a voice call connection between a Bluetooth tag device carried by a mobile user and an initial door lock; according to a user face image captured by a door lock along the way through a camera and a Bluetooth label signal, the advancing direction of a user is recognized, and the door lock in the advancing direction is informed to enter a continuous preparation state through multicast communication; according to connection requests of a plurality of opposite users received by a middle door lock, when a path conflict is detected, re-planning a connection path of at least one user; and according to the coordination result, switching the connection path of the coordinated user to the door lock of the opposite door or the jumping door lock, and completing stable handover of the voice call when the user arrives at a new connection door lock. By utilizing the embodiment of the invention, seamless and stable connection of voice communication among a plurality of door locks can be realized, path conflicts are avoided, and the communication continuity and experience of a user in a mobile scene are improved.

The invention relates to the technical field of forest tree seed breeding, in particular to a seed vigor rapid detection method oriented to a forest tree seed breeding process. The technical problem that in the prior art, it is difficult to effectively distinguish signal changes introduced by physical property fluctuation and substantive spectral differences generated by biochemical deterioration in seeds, and the working efficiency and the detection accuracy are seriously affected is solved. The method comprises the following steps: determining reference parameters for correcting diffuse reflection spectrums of seeds based on spectral data of a plurality of seeds collected at the initial stage of material change; determining a first difference value based on the internal substance characteristic spectrum, a preset reference spectrum characteristic and a preset graph theory matching algorithm; performing compensation calculation on the first difference value based on the thickness characterization parameter, the reference parameter and a preset nonlinear attenuation model to determine a second difference value; and sorting the target seeds based on the second difference value and a preset sorting threshold value. The method is used for forest tree seed breeding scenes.

The invention belongs to the technical field of communication, and particularly relates to a router system service exception self-healing method based on cloud AI, which comprises the following steps: deploying an exception detection module at a router end, collecting system logs and state data in real time and generating a standardized exception report; uploading the report to a cloud AI server through an encrypted MQTT protocol; the cloud calls a hybrid analysis model composed of a rule matching engine, a machine learning classifier and a reinforcement learning decision network to generate a self-healing strategy instruction packet; the router end receives and executes the strategy, completes service restart, configuration rollback or hotfix loading and other operations, and verifies the self-healing effect; when communication interruption exceeds a threshold value, an embedded loopback self-healing subsystem is automatically activated, and abnormity is independently handled based on a local strategy library. According to the technical scheme, millisecond-level abnormal response and high-success-rate autonomous recovery can be achieved, the network availability and the service continuity are remarkably improved, and the disaster recovery self-healing capacity is still achieved when the cloud end is disconnected.

The invention discloses a soil nutrient inversion method based on multi-source physical constraint and a multi-scale attention network, and aims to solve the problems that a soil nutrient inversion method based on remote sensing lacks enough truth value marking data and does not consider spatial autocorrelation of soil nutrients in geographic space and a physical imaging rule influenced by a microenvironment and an earth surface structure. Therefore, the problems of deviation of the inversion value and lack of spatial texture constraint and geographical continuity of the soil nutrient content distribution map generated by inversion are solved. According to the method, the collaborative Kriging trend and soil microenvironment and earth surface structure characteristics are introduced as physical constraints, a sample expansion confrontation model is constructed, sample expansion is performed by a scientific method integrating a physical environment and a spatial law, the physical imaging law of soil nutrients is fully considered, and the accuracy of the sample expansion confrontation model is improved. In combination with a designed multi-scale residual attention inversion model for extracting key information from a spectrum, the generated soil nutrient content distribution map is relatively excellent in spatial texture constraint and geographical continuity.

The invention provides an inspection method and system for electric power marketing, and belongs to the technical field of electric power marketing, and the method comprises the steps: employing an unmanned plane to inspect a high-voltage line, and employing a robot to move along the high-voltage line; a laser radar is used for carrying out three-dimensional modeling on a high-voltage line, online equipment is used for collecting temperature data, vibration data and sag data of the high-voltage line in real time, and the collected data are transmitted to a monitoring center through the Internet of Things; images shot by the unmanned aerial vehicle and images shot by the robot are analyzed, and the defects of the high-voltage line are automatically recognized; the modeling information, the data information, the image information and historical inspection data of the high-voltage line are combined for analysis, and the operation state of the high-voltage line and the fault position of the high-voltage line are predicted. According to the inspection method for electric power marketing provided by the invention, the accuracy of high-voltage line inspection operation is improved, and meanwhile, the functionality of high-voltage line inspection is also perfected.

The invention belongs to the technical field of numerical control machine tool spindles, and discloses a worm grinding wheel gear grinding machine spindle online dynamic balance method and device, and the method comprises the steps: S1, building a worm grinding wheel gear grinding machine spindle motion model; s2, designing a built-in dynamic balance device of the grinding wheel spindle; s3, acquiring vibration data of the main shaft in a running state in real time; s4, the unbalance amount is calculated, and the dynamic balance device is adjusted; and S5, vibration data are repeatedly obtained and adjusted until the radial runout of the main shaft is lower than a set threshold value. The method can effectively reduce the vibration of the main shaft and improve the rotation precision by acquiring the vibration data of the main shaft in real time and adjusting the built-in device. The device comprises a shaft core, a balance tile, a driving motor and an adjusting assembly. The driving motor transmits torque to the balance tile through the adjusting assembly, and the relative position adjustment of the balance tile relative to the radial direction of the shaft core is achieved. The device is simple in structure and convenient to install, high-precision real-time dynamic balance is achieved through cooperation of the built-in balance tile, the adjusting assembly and the like, and the system reliability is improved.

The invention discloses a sonar image geometric correction method based on image optimization, and relates to the technical field of underwater sonar imaging, and the method comprises the steps: collecting a multi-source underwater observation data packet including sonar image original data, platform motion state data and underwater environment data, and carrying out the preprocessing; extracting sonar image original data from the multi-source underwater observation data packet, performing geometric coarse correction to obtain a pre-corrected sonar image, and performing motion compensation on the obtained pre-corrected sonar image to generate a motion corrected sonar image; constructing a joint optimization objective function, carrying out geometric fine tuning on the motion correction sonar image by adopting a sliding time window strategy, and outputting a geometric fine correction sonar image; geometric distortion caused by non-uniform motion of a platform, attitude disturbance and acoustic propagation distortion is effectively eliminated, inter-frame consistency and submarine topography continuity of sonar images are remarkably improved, and the method is suitable for high-precision operation scenes such as underwater surveying and mapping, target recognition and three-dimensional reconstruction.

The invention belongs to the field of multi-sensor fusion systems, and discloses a multi-sensor fusion system simultaneous positioning and mapping method and a related device, and the method comprises the steps: obtaining an environment image, a laser point cloud and IMU data; scene semantic information is extracted through a multi-modal large model; dynamically generating a weight matrix of vision and laser radar relative to an IMU (Inertial Measurement Unit) by utilizing a vision and point cloud condition deep neural network in combination with scene information and IMU observation; and performing local and global optimization by combining each sensor speedometer factor, an IMU pre-integration factor and the weight matrix, and finally outputting robot state estimation and map point coordinates. Through semantic understanding and a self-adaptive weight mechanism driven by a conditional deep neural network model, a fusion strategy can be intelligently adjusted before environment change or sensor degradation, the robustness, precision and consistency of a system in an unstructured scene are improved, and the problems of positioning drift and map failure caused by fixed weight in a traditional method are solved.

The invention provides a security situation awareness method and system based on a three-dimensional GIS and a panoramic video, and the method comprises the steps: constructing a three-dimensional scene model of a monitoring region on a three-dimensional GIS platform, accessing a plurality of cameras and an environment sensor, and achieving the space-time alignment and coordinate unification of a video stream and multi-source sensing data; projecting a video frame to a three-dimensional scene based on internal and external parameters of a camera to generate a panoramic video picture, and performing detection and cross-camera tracking on pedestrians and vehicles by adopting a target detection model to obtain a target three-dimensional track; predicting a target position and local density change by using a time sequence prediction model, judging anomalies including congestion, retention and retrograde driving, and sending out an early warning; camera deployment and cooperative tracking are planned through a point location optimization algorithm, and monitoring blind areas are reduced; the system comprises a data acquisition module, a space-time alignment module, a three-dimensional mapping module, a target detection and tracking module, a situation analysis module, a point location planning module and a situation display module, and can improve the automation and precision of security situation awareness in a complex scene.

The present application relates to the technical field of steel rail construction, in particular to a mounting tool for damping steel rail, comprising a supporting structure, a pull rod and a pull hook, the supporting structure forms a supporting cooperation with the corresponding part on the steel rail; the pull rod is arranged on the supporting structure and can move and rotate relative to the supporting structure; the pull hook is connected to one end of the pull rod close to the rail bottom, and the pull hook is provided with a hook part for hooking the bottom of the spring piece. The present application drives the pull rod to move with the supporting structure as the fulcrum or counterforce point, drives the pull hook to move, forces the spring piece to elastically deform, thereby realizing the rapid installation or disassembly of the spring piece at the rail bottom of the steel rail, overcoming the defect that the large clamping force of the spring piece is difficult to operate manually, and having the advantages of labor-saving operation, efficient installation and disassembly, good installation consistency and the like.

The application discloses a dilution pretreatment detector for ion chromatography detection of underground water and a method thereof, and relates to the technical field of water quality detection.The detector comprises a supporting shell, a dilution liquid storage cylinder is arranged in the supporting shell, an underground water storage cylinder is arranged in one side of the supporting shell, and a stirring dilution cylinder is connected to the bottom of the underground water storage cylinder and the dilution liquid storage cylinder.A series of structures are arranged, which can effectively avoid impurities from accumulating in the filter screen and the cylinder, greatly improve the impurity removal rate, provide high-purity samples for subsequent ion chromatography detection, reduce the risk of pipeline blockage and instrument damage, ensure that the sample concentration after dilution fully meets the ion chromatography detection requirements, significantly improve the accuracy and stability of the detection results, greatly improve the continuity and work efficiency of the underground water sample pretreatment, adapt to batch sample detection requirements, facilitate deep maintenance and component replacement, shorten equipment maintenance time, and reduce use and maintenance costs.