163results about How to "Ensure effectiveness" patented technology

The invention relates to a distribution network maintenance topology identification system based on multi-source data fusion, and the system achieves the effective integration and precise processing of multi-source power distribution network data through the cooperative work of a multi-source data collection module, a data preprocessing module and a measurement generation module, and remarkably improves the temporal-spatial resolution of the state quantity of a distribution network. According to the method, a confidence evaluation system is constructed, and an algorithm confidence evaluation system is used for carrying out confidence scoring on an output identification structure, so that the uncertainty of an identification result can be quantified, and the availability and reliability of the system in an actual complex environment are greatly improved; through seamless connection and data interaction between a database and a marketing system and a scheduling system, the applicability and effectiveness of the system in an actual maintenance scene are ensured, accurate and reliable topology identification support can be provided for power distribution network maintenance, and the maintenance efficiency and the power supply reliability are improved; the method has the advantages of being high in self-adaption, accurate and reliable.

The invention belongs to the technical field of truss girder hoisting, and particularly relates to intelligent hoisting equipment for a suspension bridge truss girder in an extreme wind environment and a hoisting construction method.The intelligent hoisting equipment comprises a floating crane, and a hoisting tool component is fixedly installed at the lower end of a steel wire rope of the floating crane and comprises a posture adjusting device and an offset adjusting device. According to the intelligent hoisting equipment for the suspension bridge truss girder in the extreme wind environment and the hoisting construction method, by arranging the sling component and integrating the posture adjusting device and the offset adjusting device, multi-degree-of-freedom active adjustment can be conducted on the hoisted truss girder. The offset adjusting device generates reverse inertia force by driving the mass block to move, so that horizontal swinging of the truss girder caused by wind load is effectively counteracted; the posture adjusting device accurately corrects pitching and rolling postures of the truss girder by adjusting the length of the steel wire rope set, and therefore the overall wind resistance stability and posture keeping capacity of the hoisting system are remarkably enhanced in the extreme wind environment.

The invention discloses an exoskeleton robot abnormal working condition automatic response and risk avoiding decision-making method, and relates to the technical field of exoskeleton, and the method comprises the steps: deploying a plurality of types of sensors to synchronously collect environment data, human physiological data and exoskeleton operation data, and carrying out the preprocessing to remove interference; through fusion of abnormal harmonic detection and a finite-state machine, dangerous working conditions such as wind speed abrupt change are identified, and grades are judged; monitoring eye movement and heart rate variability data in real time, quantifying cognitive load and grading; a decision rule base is constructed, and joint locking and other adaptive risk avoiding decisions are generated in combination with working condition types, grades and cognitive loads; the controller drives the execution mechanism to execute a decision, continuously monitors data at a frequency, dynamically adjusts the decision or recovers a normal mode. According to the method, dangerous working conditions are accurately identified through multi-source data fusion, adaptive risk avoiding measures are automatically triggered, a power assisting strategy is dynamically adjusted in combination with cognitive loads, and operation flexibility and physical output are balanced.

The application relates to the technical field of wireless products, in particular to a wireless product frequency calibration method and a wireless product frequency calibration system thereof. When a test calibration board detects that a DUT product starts a radio frequency end and stably works, a stable square wave signal output by a high-frequency crystal oscillator is acquired, a pulse width test is carried out in response to a PC host computer instruction, an actual crystal oscillator frequency is obtained, an absolute radio frequency deviation is calculated according to the actual crystal oscillator frequency and is uploaded, the PC host computer judges whether the absolute radio frequency deviation exceeds a pre-warning limit value, if the absolute radio frequency deviation exceeds the pre-warning limit value, a target crystal oscillator absolute frequency deviation value is reversely calculated and is issued, the test calibration board generates a first standardized compensation value, and the DUT product frequency deviation is retested according to the first standardized compensation value, and the absolute radio frequency deviation after the retest is less than a qualified limit value. The application realizes efficient and accurate calibration.

This application relates to a method, system, and terminal for monitoring ball valve seals by integrating multi-sensor data, and pertains to the technical field of ball valve seal detection. The method includes acquiring a seal detection trigger signal for the ball valve; the seal detection trigger signal indicates that a conventional pressure decay detection is performed on the ball valve; determining an initial detection result based on the seal detection trigger signal; the initial detection result indicates the detection result after the conventional pressure decay detection of the ball valve; determining whether the initial detection result meets the preset requirement of a leak-free seal; if it does not meet the requirement, outputting the initial detection result as a prompt; if it does meet the requirement, determining the actual detection result according to a preset leakage amplification instruction and outputting a prompt; the leakage amplification instruction indicates that an amplified pressure decay detection is performed on the ball valve. This application has the effect of improving the efficiency of ball valve seal detection.

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

The invention provides a clearing scheduling method, system, equipment and medium for a pumped storage unit participating in a spot market in consideration of water head influence, and the method comprises the steps: analyzing the actual operation data of a pumped storage power station, and respectively constructing a relation model of the maximum pumping and generated output of the unit and a water head; determining a water head value of the unit in the time period t, and calculating the maximum water pumping output and the maximum power generation output of the unit in the time period t through the relation model; obtaining declaration information that the unit participates in the spot goods electric energy market, making a plurality of constraint conditions by using the calculated maximum output, carrying out spot goods electric energy market clearing operation based on the plurality of constraint conditions and the declaration information, and obtaining an output plan of a t + 1 time period; and performing loop operation to obtain an output plan curve of the unit on the operation day. The method ensures that the output result accords with the actual operation condition of the pumping and storage unit, improves the accuracy of the output calculation result and the clearing optimization result of the unit, and guarantees the execution reliability of the pumping and storage output plan.

The invention relates to the technical field of the building industry, and discloses a fabricated steel structure and an installation method, the fabricated steel structure comprises frame columns and frame beams, and the frame columns and the frame beams are connected in a matched mode; the modular node units are detachably connected with the frame columns and the frame beams respectively; the modularized joint unit comprises a first connecting plate and a second connecting plate, the sides, deviating from each other, of the first connecting plate and the second connecting plate are suitable for being connected with one ends of the adjacent frame columns correspondingly, and a box type steel column section is arranged between the first connecting plate and the second connecting plate; the two ends of the box type steel column section are connected with the first connecting plate and the second connecting plate correspondingly. The modularized joint units are further provided with I-shaped steel beam ends, and the two I-shaped steel beam ends are connected with the two ends of the box type steel column section respectively in the extending direction of the frame beam.

The invention provides a distributed photovoltaic cluster cooperative scheduling method, system and device based on 5G, and relates to the technical field of photovoltaic clusters, and the method comprises the steps: for each distributed photovoltaic unit in a photovoltaic cluster, determining a mutation unit through distributed mutation point detection, and updating a meteorological-power space-time atlas; analyzing a spatio-temporal variation mode of the power data, tracking a disturbance front causing power fluctuation in real time, predicting a propagation path, a propagation speed and a power influence on a downstream region, and generating disturbance prediction information; performing fluctuation suppression analysis to generate a coordinated regulation instruction; and issuing to a downstream disturbance area through a 5G network, and executing an adjustment action when a disturbance front arrives. The technical problem that in the prior art, scheduling of a distributed photovoltaic cluster is usually locally optimized, a global view angle based on space-time coupling and cognition on space correlation of photovoltaic units are lacked, effective cooperative adjustment cannot be achieved, and then the stability of a power grid is poor is solved.

This invention discloses a mouse fixation device for multi-site acupuncture experiments, belonging to the field of mouse acupuncture point experiments. It consists of a support base, a telescopic support rod, and a mouse fixation assembly, which is movably connected to the support rod. The mouse fixation assembly includes a bracket and upper and lower fixation plates, which are adjustable in multiple dimensions via first and second self-locking rotating shafts. The upper and lower fixation plates close with an interference fit between fitting bosses and fitting openings. The central operating port is equipped with a rigid rubber adjustable fixing grid, which, along with a lever, can avoid acupuncture points. The lower fixation plate grid has adhesive straps corresponding to the mouse's limbs and head, with pre-reserved gaps between the plates. A suction cup is provided at the bottom of the support base to stabilize the device. This device achieves double secure fixation of the mouse, with flexible and adjustable operating angles, avoiding acupuncture point obstruction, protecting the mouse from mechanical damage, improving the accuracy and efficiency of acupuncture experiments, and adapting to the needs of multi-site acupuncture experiments on mice.

The invention discloses a preparation technology of a standard fructus perillae decoction, and relates to the technical field of traditional Chinese medicine decoction treatment.The preparation technology comprises the steps that fructus perillae decoction pieces are weighed and placed in a marmite to be decocted twice; comprising the following steps: Step 1: adding water which is 8 times of fructus perillae decoction pieces into a marmite for the first time, soaking for 30 minutes, boiling with strong fire, and decocting with slow fire for 30 minutes; step 2, adding water which is 6 times of the fructus perillae decoction pieces into the marmite for the second time, boiling with strong fire, and decocting with slow fire for 20 minutes; 3, filtering the liquid medicine with 200 meshes, and cooling the filtrate to room temperature in a cold water bath; step 4, combining the two filtrates, and carrying out vacuum concentration at the temperature of 50 DEG C; and Step 5, concentrating until the weight ratio of the medicinal material to the fluid extract is 1: 1, collecting a concentrated solution, and freeze-drying to obtain a sample. According to the method, the component transfer condition of the fructus perillae decoction pieces to the decoction is measured through objective quality standards, and the quality degree and effectiveness of the decoction are ensured.

This application relates to a method for preparing high-purity iron, comprising the following steps: forming an electrode rod from pure iron raw material; subjecting the electrode rod to vacuum arc melting; the vacuum arc melting includes an arc initiation stage, a melting stage, and a feeding stage; the melting current in the arc initiation stage is 1.5 kA~3.0 kA, and the arc stabilization current is 4 A~10 A; the melting current in the melting stage is 2.5 kA~3.5 kA, the melting rate is 2.5 cm / min~5.5 cm / min, and the arc stabilization current is 8 A~20 A; the melting current in the feeding stage is 1.2 kA~3.3 kA, the melting rate is 1 cm / min~4.5 cm / min, and the arc stabilization current is 4 A~11 A. This method can effectively reduce the density and refine the size of inclusions in pure iron, while also making the inclusions dispersed in the material. The high-purity iron prepared by this method has a significantly reduced inclusion density, small inclusion size, and is in a dispersed state, which meets the manufacturing requirements of iron-based supports.

The application provides a kind of 3D model multi-scale light-weight method and system based on topology optimization, it is related to model light-weight technical field, including grid division to target 3D model, generate finite element model;Establish multi-scale topology optimization model, adjust density distribution through density filtering function, combined with minimum size constraint and gray gradual projection processing, obtain macro light-weight structure;Based on macro light-weight structure, obtain skeleton structure, based on adaptive polygon segmentation rule, construct porous filling unit, fuse multi-parameter model, establish the parameterized representation method of three variables of density, size and shape, obtain intermediate scale structure through multi-objective genetic algorithm, combined with sensitivity analysis technology;The intermediate scale structure is embedded in macro light-weight structure, combined with cascade optimization, generate multi-scale structure, calculate equivalent material properties using homogenization method, iteratively adjust model parameters, finally obtain multi-scale light-weight result.

A power transmission line fault simulation and simulation test method and system, a transient simulation model of an actual power transmission line is established, and a wave speed is simulated and calculated; a simulation test is carried out on a test line, a fault source is output, a normal current at a power frequency is first output, a lightning impulse is injected at a peak of the normal current at the power frequency, and then a flashover discharge current of an insulator string is output, a duration of the flashover discharge current is calculated according to a lightning fault current set during simulation; if the test is normal, wave head times captured by two fault detection devices are obtained, corresponding two positioning errors are calculated in combination with the wave speed calculated by simulation, if the positioning errors exceed a set error threshold, it is indicated that the fault detection device is unqualified; otherwise, it is qualified, and a fault test is carried out by using the qualified fault detection device. The present application can efficiently carry out a detection test of a power transmission line fault positioning device.

The application provides a vehicle hibernation method, medium, vehicle and product, relates to the technical field of vehicle control, and the method comprises the following steps: generating a hibernation preparation instruction and sending the hibernation preparation instruction to an electronic control unit on the vehicle under the condition that the vehicle meets hibernation conditions; receiving confirmation information fed back by the electronic control unit based on the hibernation preparation instruction, performing state detection on the vehicle based on the confirmation information, and obtaining a detection result; wherein the confirmation information is used to indicate that the electronic control unit has completed a hibernation preparation task indicated by the hibernation preparation instruction; and if the detection result indicates that the vehicle is in a standby state, performing a whole-vehicle hibernation operation. The technical scheme of the application sends a hibernation preparation instruction to the electronic control unit first, so that the electronic control unit has sufficient time to complete the hibernation preparation task, effectively avoids the task execution risk caused by direct forced hibernation, improves the reliability and robustness of the vehicle hibernation process, and guarantees the integrity and safety of the vehicle function.

This invention relates to a real-time human resource orchestration method, equipment, program products, and media for new retail, relating to the field of smart retail technology. The method constructs a service commitment graph containing task nodes, region nodes, and time window nodes to accurately characterize the service attributes and time limits of different tasks, overcoming the limitations of traditional scheduling systems that simplify task requirements. Simultaneously, by calculating capability flow tokens and generating a token matrix, it dynamically quantifies the actual working capabilities of employees in different positions and time windows, achieving accurate assessment of employee capabilities. Furthermore, by combining constraint masking and counterfactual gain estimation techniques, it filters out target actions that meet confidence threshold conditions, ensuring the feasibility and effectiveness of the allocation scheme. This orchestration method based on service commitment graphs and capability flow tokens can achieve precise matching between task requirements and employee capabilities, improving the efficiency of human resource allocation.

The invention discloses a compound traditional Chinese medicine preparation for improving tumor immunity and resisting tumors, belongs to the technical field of anti-tumor traditional Chinese medicines, and discloses a compound traditional Chinese medicine preparation for improving tumor immunity and resisting tumors. The traditional Chinese medicine composition comprises the following components in parts by weight: 10-25 parts of ginseng, 15-18 parts of selfheal, 12-18 parts of seaweed, 12-19 parts of astragalus membranaceus, 10-16 parts of angelica sinensis, 18-30 parts of oldenlandia diffusa, 10-15 parts of fleece-flower root, 10-14 parts of poria cocos, 10-16 parts of thunberg fritillary bulb, 8-14 parts of pseudobulbus cremastrae seu pleiones and 8-17 parts of curcuma zedoary. Through the specific pharmacological action, growth and proliferation of thyroid tumor cells are inhibited, the development speed of tumors can be slowed down, the malignancy degree of the tumors can be reduced, apoptosis of the thyroid tumor cells can be induced, and the number of the tumor cells can be effectively reduced by inducing apoptosis of the tumor cells, so that the anti-tumor purpose is achieved.

The application discloses a user behavior analysis method, which can deeply understand the operation mode and behavior characteristics of users by modeling the user behavior sequence using an RNN model, thereby optimizing the user interaction experience; the ARIMA model is used to model the page performance data, which can accurately capture the time sequence characteristics of the page performance, identify potential performance bottlenecks and change trends; the RNN model is introduced into the ARIMA model, the page performance data is taken as an input of the sequence model, and the user behavior data is analyzed together, so that comprehensive analysis of the user behavior and the page performance can be realized, and the prediction accuracy and practicability of the model are improved; the trained model parameters are used to predict the optimization scheme and optimization cost of a future time point, so that the possible performance problems and optimization requirements in the future can be predicted, the optimization scheme can be prepared and implemented in advance, and potential performance bottlenecks can be avoided.

The invention relates to the technical field of mining power distribution device monitoring, in particular to a mechanical characteristic monitoring method and device for a mining combined type high-voltage vacuum power distribution device, and the method comprises the steps: quantifying the motion continuity based on displacement fluctuation and a non-zero displacement number, and calculating the motion stability through combining the speed difference of adjacent moments; analyzing the space-time movement progress difference of the moving contact linkage rod, and determining the action coordination degree of the circuit breaker in each mechanical movement process in combination with the action stability; comparing the difference between the action collaboration degree and the health state and the difference between the action collaboration degree and the adjacent previous time, and determining a collaboration degree offset index; and evaluating the credibility of the mechanical characteristics by combining the collaboration degree difference and the collaboration degree offset index, and correcting the mechanical characteristic parameters according to the credibility. The problem that it is difficult to distinguish the real degradation and working condition interference of the machine is solved, and the accuracy and reliability of mechanical characteristic monitoring are improved by eliminating errors and dynamically correcting data.

The utility model discloses a kind of high-power battery tab welding reinforcement structures, belong to battery manufacturing technical field.The structure includes the reinforcing assembly of elastic tooth engagement reinforcement to tab and busbar welding place, and the fixed component for locking the reinforcing assembly.The reinforcing assembly is engaged by the tooth-shaped block in inside and the tooth-shaped groove on welding piece, and utilizes spring to exert elastic pressure;Fixed component is stabilized locking by clamping rod mechanism.The utility model solves the problem of insufficient welding point connection strength, easy to loosen and fall off in prior art by double reinforcement mode, significantly improves the mechanical strength and reliability of connection.

The application discloses an intelligent neuropsychological scale voice collection and analysis method and system based on multi-factor adaptive time window regulation. The method first collects information of a subject, records a current remaining time pool, calculates a previous performance dynamic adjustment factor, and calculates an initial time window of the subject in an MMSE test system. Then, the initial time window is adjusted to obtain an adaptive time window, the question is presented, and the voice recording and timing are started. Then, the adaptive time window is dynamically extended or compensated by using a time window dynamic extension mechanism based on real-time voice activity detection and a time window additional compensation mechanism based on real-time cognitive load indicators. Finally, the final actual recording time window is recorded, the voice quality is evaluated, and all questions are completed. The system comprises a front-end interactive collection module, a multi-factor time window dynamic calculation engine module, a real-time voice activity detection module, a back-end voice analysis service module and a global state management and process control module.

The invention relates to the field of wind power generation, in particular to a wind turbine generator yaw static error correction method and system based on a multi-beam laser radar. The method comprises the following steps: S1, scanning a wind field area in front of an impeller of a generator set through a multi-beam wind measurement laser radar mounted in a cabin of the wind turbine generator set to obtain parameter information of a plurality of spatial points; s2, performing fitting calculation on the parameter information system to obtain a fitting circle representing a horizontal wind vector of the wind field area, and solving the fitting circle to obtain a free flow wind direction; s3, the free flow wind direction is compared with the current cabin orientation, and a real-time static yaw error angle is obtained through calculation; generating a yaw control instruction according to a preset control strategy; s5, solving and calculating the fitting circle to obtain a transverse wind component, and correcting the yaw control instruction; according to the method, the control instruction is generated through the control strategy to drive the yaw system to perform dynamic compensation, so that the wind turbine generator can continuously maintain the optimal windward attitude, and the stability and long-term effectiveness of control are ensured.

The application discloses a trispecific natural killer cell engager molecule and application thereof, and relates to the technical field of biotechnology and medicine, and comprises at least three functional domains: a first binding domain which is composed of an extracellular domain of an NKG2D receptor capable of specifically binding to an NKG2D ligand; a second binding domain which is composed of interleukin-15 or a functional fragment thereof; and a third binding domain which is composed of a fragment capable of specifically recognizing an NK cell activating receptor CD16, wherein the second binding domain is located between the first binding domain and the third binding domain, and each binding domain is sequentially connected by a connecting peptide or directly fused by a peptide bond. The engager molecule can significantly enhance the killing activity of natural killer (NK) cells on target cells expressing NKG2D ligands, and can be used as an effective drug for treating various diseases related to NKG2D ligand expression, including but not limited to aging-related diseases, tumors and virus infection-related diseases.

The application discloses a hologram method and system for generating a high-robust flat-top light spot, and the method comprises the following steps: firstly, completing simulation parameter configuration and input light field initialization, and specifying an optimization region with the original focal plane as the center; selecting a plane as an additional optimization target along the optical axis at equal intervals; performing Fourier transform on the input light field to obtain the original focal plane light field; synchronously calculating the additional optimization plane light field; applying the same target constraint to all optimization planes; propagating and optimizing the light field from the original focal point to other constraint planes; calculating the light field propagated from all constraint planes to the original focal point; performing inverse Fourier transform to obtain the input light field after the calculation is completed; calculating the average value of the input light field and retaining the phase; replacing the amplitude with an initial Gaussian distribution to obtain a new round of input light field; repeating the foregoing steps until a threshold value of iteration times or a convergence condition is reached; and outputting a final DOE phase distribution value. The method avoids the problem of the decline of the uniformity of the light field in the defocus region caused by the optimization of a single plane.

The application discloses a kind of integrated energy system distributed algorithm considering offshore wind power uncertainty, it includes the following steps: step 1: data preparation stage;Step 2: based on the basic data set prepared in data stage, construct the scheduling model of electric-gas integrated energy system under data center access;Step 3: two-stage distribution robust optimization model establishment stage;Step 4: two-stage distribution robust optimization model is solved using C&CG-ADMM algorithm;The application is analyzed to offshore wind farm historical output data set based on the K-medoids clustering method of Wasserstein distance, and a discrete scenario set containing multiple typical output modes is constructed;Further, on this basis, the two-stage distribution robust optimization model of electric-gas integrated energy system considering wind power uncertainty containing data center is established;Original C&CG algorithm is used as outer framework to reconstruct C&CG-ADMM algorithm.

This invention provides a method, device, and medium for automatic identification and detection of extended power supplies for nodal seismographs, belonging to the field of seismic exploration. The method includes: confirming good contact at the extended power supply interface; obtaining the remaining capacity of the extended power supply; using a step-up / step-down DC-DC circuit to boost the output voltage of the extended power supply; and judging the connection status of the extended power supply in real time. This invention can quickly complete the automatic identification and detection of extended power supplies, effectively improve the success rate of assembly, ensure the reliability of the extended power supply, reduce the risk of rework due to operational errors, and improve construction efficiency.

This invention provides a personnel performance evaluation management method, system, and electronic device, relating to the field of human resource management technology. Upon submission of a personnel transfer application, this invention automatically triggers a pre-detection of performance evaluation conflicts, fundamentally breaking down the technical barriers between the personnel transfer module and the performance evaluation module in existing technologies. It proactively intercepts the risk of "employees not being found in the new department," a failure that would normally only surface after the transfer. When a pre-detection of performance evaluation conflicts fails, an alert is issued by displaying a list of conflicting activities. This guides HR to resolve conflicts before organizational changes, eliminating the high cost of manual investigation. Thus, it ensures the logical completeness and validity of performance evaluation data before organizational adjustments, laying a solid technical foundation for the smooth execution of subsequent evaluation processes.

The invention discloses a preparation process of a standard herba houttuyniae decoction, and relates to the technical field of traditional Chinese medicine decoction preparation, and the preparation process comprises the following steps: weighing a proper amount of herba houttuyniae decoction pieces, placing in a marmite, decocting twice, adding 12 times of water for the first time, soaking for 30 minutes, boiling with strong fire, and decocting with slow fire for 30 minutes; adding 10 times of water for the second time, boiling with strong fire, then decocting with slow fire for 20 minutes, filtering the liquid medicine with 200 meshes, rapidly cooling the filtrate to room temperature in a water bath, mixing the two filtrates, carrying out vacuum concentration at the temperature of 50 DEG C until the weight ratio of the medicinal material to the fluid extract is about 1: 1, collecting the concentrated solution, and freeze-drying to obtain a sample. According to the invention, key quality indexes such as the main content, the characteristic spectrum and the extract of the herba houttuyniae after the decoction is prepared are stipulated, the transfer rate is investigated, and meanwhile, the transfer rate range of the main content of the herba houttuyniae is stipulated, so that the effectiveness of the herba houttuyniae decoction is kept according to a standard preparation method.

The invention relates to the technical field of financial risk control, in particular to a financial transaction abnormal data real-time monitoring method and system based on deep learning. Comprising the steps of collecting external macroscopic variables in real time; identifying the macroscopic state of the current market; generating a macroscopic state control signal; transmitting the macroscopic state control signal to a preset dynamic baseline management unit; retrieving a situation baseline model matched with the macroscopic state from a preset situation baseline model library; calling a situation baseline parameter corresponding to the situation baseline model; coding the financial transaction flow data by using a deep neural network; generating a microcosmic behavior feature vector; calculating a semantic distance between the microscopic behavior feature vector and a normal feature space; comparing the semantic distance with a preset discrimination threshold value; and generating an abnormal risk alarm in response to the semantic distance being greater than the discrimination threshold. According to the invention, the false alarm rate when the market fluctuates violently and the missing report rate under the stable market are obviously reduced, and the monitoring accuracy is improved.

This invention discloses a gingival protection device for intermaxillary traction after orthognathic surgery, along with its manufacturing and usage methods. The device is a gingival protection bracket worn on the maxillary dentition, comprising a labial / buccal cover, a palatal cover, a blocking portion, and a connecting bridge. The labial / buccal cover conforms to the highest point of the tooth crown, while the palatal cover conforms to the entire palatal surface of the tooth crown, positioned between the intermaxillary traction rubber band and the gingival soft tissue. The blocking portion forms a protruding structure along the dentition direction on the labial side of the anterior teeth, mechanically limiting the intermaxillary traction rubber band during intermaxillary traction. The connecting bridge connects the labial / buccal cover and the palatal cover together in the posterior molar region on both sides. This device effectively blocks the direct action of the traction rubber band on the gingival soft tissue without affecting postoperative occlusal adjustment, improving posterior traction and occlusal stability and comfort, and aiding in rapid patient recovery. Furthermore, it balances wearing stability with the convenience of patient self-disposal.