43results about How to "Address effectiveness" patented technology

The invention provides an effective signal filtering and noise reduction method and system for a micro-seismic event of a tunnel water and mud inrush disaster, and relates to the technical field of signal processing. Comprising the following steps: acquiring original signals of water-inrush and mud-inrush micro-seismic events; performing modal decomposition on the original signal by using a variational modal decomposition method to obtain a plurality of modal components; calculating a cross correlation coefficient between the original signal and each modal component; based on the center frequency of each modal component and in combination with the cross correlation coefficient, performing primary noise reduction on the plurality of modal components; performing de-trend fluctuation analysis on the modal components after the primary noise reduction screening to obtain scale indexes of the modal components after the primary noise reduction screening, and performing secondary noise reduction based on the scale indexes; and reconstructing the modal component after the secondary noise reduction screening to obtain a micro-seismic signal after noise reduction filtering. According to the method, the problem that noise and effective signals in part of modal components are mixed is solved, and the weak signal extraction capacity is improved.

The invention relates to the technical field of soil improvement materials, and provides a soil heavy metal pollution repairing agent based on biomass power plant ash, which mainly comprises surface modified porous biomass power plant ash, polymer modified bentonite, a soil modified repairing agent and clay minerals. The surface modified porous biomass power plant ash is obtained through gamma-aminopropyltriethoxysilane and humic acid modified porous biomass power plant ash clustering, and the polymer modified bentonite is bentonite modified by acrylic acid and sodium carboxymethyl cellulose through a polymerization reaction. The preparation method comprises the steps of pretreatment of biomass power plant ash, liquid nitrogen freezing, freeze drying, porous structure formation, surface modification and the like. The components are mixed, granulated and molded, so that the obtained remediation agent can effectively reduce the bio-availability of heavy metals in soil, reduce the heavy metal absorption of crops and improve the soil environment quality.

The invention discloses a multi-mode redundant model-free longitudinal control method for an automatic driving vehicle. The method comprises the following steps: collecting a longitudinal control signal source; establishing an off-line driving torque database and an off-line braking pressure database; designing a model-free vehicle speed control strategy, and calculating a vehicle speed expected driving torque and a vehicle speed expected braking pressure; designing a model-free acceleration control strategy, and calculating an expected acceleration driving torque; a model-free deceleration control strategy is designed, and deceleration expected brake pressure is calculated; and according to the vehicle speed expected driving torque, the vehicle speed expected braking pressure, the acceleration expected driving torque and the deceleration expected braking pressure, a model-free longitudinal control mode arbitration strategy is designed, the request driving torque and the request braking pressure are output, and longitudinal operation is achieved. According to the method, the stability problem of longitudinal control of the automatic driving vehicle can be solved under the condition that vehicle model parameters are missing or the model parameters are uncertain, and unexpected driving or braking caused by interference of factors such as program abnormity and communication congestion is prevented.

The invention discloses a water-soluble fertilizer suitable for Xinjiang'dry sowing and wet emergence 'cotton fields as well as a preparation method and application of the water-soluble fertilizer. Belongs to the technical field of water-soluble fertilizers. The water-soluble fertilizer comprises the following components in parts by mass: 5-41 parts of urea, 21-60 parts of urea phosphate and 13-48 parts of potassium sulfate. Potassium sulfate is mixed with other raw materials in batches by using a three-dimensional mixer, and then mixed granulation is performed. Compared with the prior art, the method has the beneficial effects that the water-soluble fertilizer is dripped along with water by utilizing a drip irrigation facility of a'dry sowing and wet discharging 'cotton field; according to the water-soluble fertilizer formula and the dripping method, the emergence rate of the cotton can be increased, and the problems that the emergence rate is difficult, weak and stiff due to nutrient requirements of growth and development of the cotton in the seedling stage, adverse factors such as an external saline-alkali environment in the seedling stage, tender roots and insufficient photosynthetic ability, and the like, and the problems of seedling deficiency and insufficient group construction caused by the phenomena are solved.

The invention relates to the technical field of power generation equipment data monitoring, in particular to a new energy power generation equipment accurate monitoring and operation data analysis method. Comprising the following steps: data acquisition and storage: deploying sensors at key nodes to acquire data; evaluating a running state, extracting key indexes such as equipment efficiency, energy consumption and environmental adaptability, and quantifying a scoring standard; an evaluation function is constructed, an analytic hierarchy process and an entropy weight method are combined to determine a weight, and a normalized weight value and a comprehensive evaluation value are calculated; carrying out anomaly detection and early warning, defining an early warning level based on the comprehensive evaluation value, and carrying out mean shift detection; early warning operation and emergency response are carried out, a feedback mechanism is established, and emergency measures under different early warning levels are formulated. According to the method, the equipment operation state monitoring accuracy, the data evaluation scientificity and the abnormity processing timeliness and effectiveness are improved, and stable operation and efficient power generation of the new energy power generation equipment are guaranteed.

The invention provides a building air conditioner load prediction method based on LTSM and ARIMA. The building air conditioner load prediction method comprises the following steps of S1, performing data acquisition; s2, a step of carrying out data preprocessing; s3, a step of carrying out modal decomposition; s4, a step of carrying out ARIMA model result analysis; and S5, carrying out result verification. According to the method, the problem of effectiveness of public building air conditioner load prediction is solved, that is, load prediction of a current public building air conditioner system is mainly based on traditional building simulation software or a single-module artificial intelligence algorithm, and the load prediction has certain limitations more or less. And a composite model in which a primary prediction model is established by adopting a long-short-term memory network and then a primary prediction result is corrected through a differential autoregression moving flat residual prediction model can effectively solve related problems in air conditioner load prediction.

The invention provides a communication processing method and device, a communication transmission system, equipment and a medium, and the method comprises the steps: obtaining a first state machine and a second state machine, the first state machine being used for recording a first working state of a first transceiver; the second state machine is used for recording a second working state of the second transceiver; a first target interface is called to transmit data to the annular message queue, the first target interface is a target communication interface in at least one communication interface of the first transceiver and the annular message queue, and the first target interface is determined according to the first working state and / or the second working state; and based on at least one of the first working state, the second working state and the first target interface, controlling the first working state recorded by the first state machine to perform state switching, thereby solving the problem that a one-way pipeline lacks an effective feedback and confirmation mechanism for multi-frame transmission, and meeting the requirement of multi-frame transmission.

This application discloses a tooling for assembling and disassembling coaxial RF connectors, belonging to the field of satellite manufacturing auxiliary tooling. The tooling includes a force-transmitting component, which comprises a main body, a receiving portion, and a force-transmitting portion extending axially along the main body. The force-transmitting portion is connected to the main body through the receiving portion. At least one communicating cavity is formed within the receiving portion and the force-transmitting portion. Openings communicating with the accommodating cavity are provided on the sidewalls of both the force-transmitting portion and the receiving portion. The force-transmitting portion is used to clamp the satellite's coaxial RF connector, the receiving portion is used to receive the RF cable of the coaxial RF connector, and the main body is used to receive the force transmitted through a standard installation tool. This application solves the problem that it is impossible to apply effective and uniform torque to the coaxial RF connector using standard installation tools within a confined space.

The invention discloses a chip mounter modular control system and method in a monitoring mode, a medium and a product, and relates to the technical field of automatic production equipment control, and the method comprises the step of dividing the chip mounter control system into a plurality of independent modules, such as a main control module, a sub-motion module and a sub-vision module. And the main control module generates a moving instruction to drive the sub-motion module to a preset position, and triggers the sub-visual module to photograph and obtain a chip image. The sub-vision module calculates the matching degree and the deviation degree of the chip and feeds back the matching degree and the deviation degree to the main control module and the sub-motion module in real time. And the main control module judges the qualification of the chip according to a preset condition, and sends an adjusting or stopping instruction to the sub-motion module. And the sub-motion module adjusts or stops motion according to the instruction and feeds back the motion state in real time. Through independent operation of the subsystems and real-time scheduling of the main control system, the flexibility and the response speed of the system are improved, and the accuracy and the high efficiency of user operation are ensured.

The invention discloses a combined installation method for embedded parts of a water turbine, and relates to the technical field of hydroelectric power stations. The water turbine embedded part combined installation method comprises the following steps that S1, a pressure steel pipe is installed; s2, mounting and fixing the seat ring; s3, a volute is correspondingly installed between the seat ring and the pressure steel pipe; s4, the adjusters are installed, the pressure steel pipe and the adjusters are subjected to full welding, the adjusters and the volute are welded, and welding circular seams are reserved; s5, fixing of the seat ring is relieved, and welding closing is conducted on a welding circular seam at the connecting position of the adjuster and the volute; s6, after the installation elevation and the horizontal deviation of the seat ring are determined and fine adjustment is carried out, the ring seat is fixedly installed; and S7, outer cladding reinforced concrete is poured. According to the combined mounting method for the embedded parts of the water turbine, the problem that the residual stress of the folding seam is large and cannot be effectively released during mounting of the adjuster can be effectively solved, the connecting quality after mounting of the adjuster is guaranteed, and potential safety hazards caused by mounting of the adjuster in the operation process of a power station are eliminated.

The invention relates to the technical field of game operation, in particular to a game user reach classification management method, system and device and a medium, and the method specifically comprises the following steps: obtaining user reach data of each business line, and carrying out traffic dyeing on the user reach data through a preset classification label to form a unified business reach classification standard system; based on the service reach classification standard system, performing association analysis on an abnormal reach event occurring in a reach process and mark information of each link of the reach process, and determining an abnormal reason and a disposal strategy of the abnormal reach event; an association rule mining algorithm is utilized to analyze the arrival relevance between different service lines, and the arrival strategy is optimized by identifying the possible repeated arrival condition and excessive disturbance condition. According to the method, the pertinence and effectiveness of touch are improved, the visualization and transparency of the whole touch process are also realized, and the game operation efficiency and the user experience are greatly improved.

The invention discloses a cross communication test method for a flexible direct-current valve control system, which is applied to the flexible direct-current valve control system and comprises the following steps: responding to a starting instruction, and starting flexible direct-current valve control full-link test equipment by the flexible direct-current valve control system; if it is detected that the pulse distribution box is disconnected from one of the odd-numbered modules or the even-numbered modules, normal communication of the power module is maintained through a pair of cross communication optical fibers; if it is detected that uplink output optical fibers between the power module and the pulse distribution box are all disconnected, or downlink input optical fibers are all disconnected, the bypass exits the power module; if it is detected that the uplink output optical fibers of the odd modules, the downlink input optical fibers of the even modules and the second cross communication optical fibers are all disconnected, the bypass exits from the power module; and the flexible direct-current valve control system is locked and stopped. The technical problem that the accuracy and effectiveness of cross communication function design cannot be confirmed due to the lack of a cross communication test technology between adjacent power modules of the flexible direct-current valve control system in the prior art can be solved.

The present application relates to a kind of preventive maintenance schedule digital method and system, comprising: equipment failure mode analysis is carried out, and based on the list of to be formulated maintenance strategy generated by analysis result;According to the list of to be formulated maintenance strategy, equipment maintenance strategy analysis is summarized, and equipment preventive maintenance schedule is formed;According to the generation equipment structured maintenance module;According to equipment preventive maintenance schedule and equipment structured maintenance module, generate maintenance work order;Receive maintenance personnel in the maintenance measurement value recorded after according to maintenance work order is completed overhaul;Based on maintenance measurement value, equipment preventive maintenance schedule is optimized.The present application is from failure mode analysis, maintenance schedule formulation, maintenance procedure structuring, maintenance execution mobilization, to the whole range of business activities such as maintenance schedule closed loop optimization is digitized reconstruction, thoroughly break through the business barrier and data island in preventive maintenance process, solve the problem that current preventive maintenance schedule effectiveness cannot be continuously improved.

The invention provides a method for preparing columnar model ice with controllable porosity and pore diameter, which comprises the following steps: providing an ice making mold which comprises a side plate and a bottom plate which define a containing cavity, arranging and fixing at least one gas injection pipe on the bottom plate, and arranging a plurality of gas injection holes facing the containing cavity on the gas injection pipe, the air inlet end of the air injection pipe communicates with the air pump through the adjusting valve. The end, away from the air inlet end, of the air injection pipe is closed. Water is injected into the containing cavity, the ice making mold, the air pump, the adjusting valve and the air injection pipe are placed in a low-temperature environment to be cooled, and an initial freezing ice cover is formed on the upper surface of the water body and continues to be frozen downwards; after the initial frozen ice cover is formed, starting an air pump, and controlling the pressure of an air injection inlet and the air injection amount through a regulating valve, so that air enters the water body towards the accommodating cavity through an air injection hole; continuously injecting gas in the continuous freezing process of the water body, and adjusting the pressure of a gas injection inlet and the gas injection amount according to the freezing process until the model ice reaches the preset thickness; and demolding the model ice to obtain a model ice sample with columnar pores.

The invention relates to the technical field of medical rehabilitation equipment, in particular to a pedal device of an electric standing bed for muscular tension traction and the electric standing bed. Comprising a pedal angle adjusting unit, a first pedal, a second pedal, a pressure detecting unit and a controller. The pedal angle adjusting unit is arranged on the bed body and used for independently adjusting the angles of the first pedal and the second pedal with the coronal axis as a first rotating shaft and independently adjusting the angles of the first pedal and the second pedal with the sagittal axis as a second rotating shaft. The first pedal is positioned at the bed tail and is connected with the pedal angle adjusting unit; the second pedal is located at the bed tail and connected with the pedal angle adjusting unit, and the first pedal and the second pedal are arranged side by side in the width direction of the bed body; the pressure detection unit is arranged on the first pedal and the second pedal, covers the pedal surfaces of the first pedal and the second pedal, and is used for detecting pressure data applied to the pressure detection unit by the feet of the patient.

The application discloses a kind of transmission line mutual inductance synchronous sampling intelligent filter monitoring method and system, it is related to transmission line state monitoring technical field, the application is by synchronous acquisition line three-phase voltage and current and mutual inductor temperature gradient and leakage flux density, into heat magnetic coupling transfer function generation phase shift distribution sequence, and accordingly execute fractional order delay interpolation resampling generation phase correction matrix;It is reconstructed into phase space evolution trajectory by delay coordinate mapping, according to node neighborhood manifold curvature cut-off random wideband noise, retain core attractor manifold;And it is converted into topological relationship diagram, calculates geodesic distance and state transition probability distribution connected edge weight, executes graph Laplace smoothing processing and generates synchronous measurement electric signal after reverse projection;Extract transient distortion feature vector and calculate its and historical benchmark set Mahalanobis distance generation electrical state deviation degree, when electrical state deviation degree is out of limit, generate abnormal early warning instruction, guarantee the accuracy of micro-fault monitoring.

This invention discloses a data sharing method and system based on smart cities, relating to the field of smart city data sharing technology. The method includes the following steps: S1, acquiring multi-source heterogeneous data from a smart city and establishing a unified data standardization rule base, wherein the data standardization rule base includes data format conversion, semantic mapping, and interface protocol adaptation rules; S2, based on the unified data standardization rule base, collecting, cleaning, format converting, and semantically mapping the multi-source heterogeneous data. This invention, by establishing a unified data standardization rule base, collects, cleans, converts, and semantically maps multi-source heterogeneous data from smart cities, such as transportation, environmental protection, government affairs, and energy, transforming it into standardized urban data and storing it on a unified data asset platform, effectively solving the problem of cross-domain data integration difficulties caused by inconsistent data standards in existing technologies.

The invention relates to a speed reducer performance optimization method and system based on multi-source data analysis, and relates to the technical field of performance optimization, and the method comprises the steps: obtaining the initial temperature of each part corresponding to a preset working node number on a speed reducer; determining a rated temperature range based on the working node number; comparing the initial temperature with a rated temperature range to screen unqualified temperatures and problem working node numbers; searching a corresponding cooling water pipe number based on the problem working node number; main water pipes corresponding to the cooling water pipe numbers are controlled to be opened for cooling. The worm gear has the effect of solving the problems that when the worm gear and the worm are meshed, large sliding friction exists, heat is likely to be generated, and long-time high-load operation cannot be achieved.

This invention relates to a method and system for extracting wafer defect detection signals, comprising the following steps: circuit gain calibration; system dark noise calibration; PMT gain curve calibration; adaptive scanning parameter calibration; and wafer defect detection signal extraction. This invention solves the problems of system noise suppression and effective signal extraction in wafer defect detection systems, thereby improving defect detection sensitivity.

This utility model relates to the field of experimental equipment technology and discloses an automatic filling and emptying device for an atomic gas chamber, comprising: a filling and emptying seat with an internal filling and emptying cavity; and a cover plate for sealing the filling and emptying cavity; wherein, the filling and emptying seat is provided with at least one filling channel and one emptying channel, both of which are connected to the filling and emptying cavity. By setting multiple filling channels, the gas type can be flexibly switched according to different experimental needs, effectively solving the problem of unstable gas supply or ineffective switching caused by a single gas supply channel in traditional devices, thereby improving the accuracy of experimental results. The automatic filling and emptying device for an atomic gas chamber provided by this utility model shows significant advantages in improving filling and emptying efficiency, enhancing operational reliability, meeting complex experimental needs, and improving the applicability of the device.

The present invention discloses a device and method for quickly installing a recoverable microseismic sensor suitable for different hole depths, including a handheld unit, a detection unit and a drilling unit, wherein the handheld unit includes a T-shaped handle and a rear cover body. There are three detection units, which are linearly connected in sequence. The rear end of the first detection unit is fixedly connected to the rear cover body, and the drilling unit is arranged at the front end of the last detection unit. The detection unit includes a housing, a detection rod, a microseismic sensor and a telescopic fixing assembly. The rear end of the detection rod is adjustably fixedly connected to the housing. The microseismic sensor is arranged inside the front end of the detection rod. The front end of the detection rod is threadedly connected to the rear end of the housing of the next detection unit. The detection rod is fixed inside the rock formation borehole by a telescopic fixing assembly, and the drilling unit is arranged at the front end of the detection rod of the last detection unit. The microseismic sensor of the present invention is well coupled with the deep hole rock formation, which is convenient for arranging multiple microseismic sensors at different depths of the borehole, and for three-dimensional monitoring of the rock formation, so that it can be quickly installed and recovered.

The invention belongs to the technical field of dam termite nest detection and termite comprehensive control, and provides a complete method for dam termite cave positioning, termite killing and termite cave blocking. Comprising the steps of C-Scan profile acquisition, deep convolutional neural network inversion, artificial intelligence neural network discrimination, drilling position selection, drilling, video stream signal acquisition, video stream signal analysis, termite dosing and killing, cement clay mortar preparation and ant nest grouting. According to the invention, through C-Scan profile acquisition, deep convolutional neural network inversion, artificial intelligence neural network discrimination and drilling position selection, the accuracy and efficiency of ant nest detection and identification are improved; by controlling the monitoring platform and heating the volatile medicament capsule, the damage of liquid medicament permeation or other methods to the surrounding soil environment is avoided, and the effective killing of the whole space distribution of the termite nest is realized; the glass beads and ettringite are doped into the silicate superfine cement, so that efficient plugging of dam ant nest grouting is realized.

The present application discloses a device linkage method and device, a storage medium and an electronic device in an Internet of Things network, wherein the method comprises: determining a first linkage path corresponding to a target linkage event according to network topology information of a target Internet of Things network, wherein the target linkage event is a linkage event between a first target device and a second target device in the target Internet of Things network, and the first linkage path is the shortest path from the first target device to the second target device; generating linkage information for each first device among a plurality of first devices on the first linkage path, wherein the linkage information of each first device is used to indicate a linkage operation performed by each first device when the target linkage event is triggered, and the plurality of first devices include a first target device and a second target device; and sending the linkage information of each first device to each first device to control each first device to perform a corresponding linkage operation when the target linkage event is triggered.

The utility model discloses a kitchen monitoring system, which comprises a video monitoring device, an environment detection device, a control module, a communication module, a user interface module and a monitoring system touch screen, the environment detection device comprises a temperature detection device, a smoke detection device and a gas leakage detection device, the monitoring system touch screen is arranged at a first preset position of a wall around a lighting switch in a kitchen environment, and the monitoring system touch screen is in communication connection and electric connection with the control module; the communication module is in communication connection with the control module and the user interface module, and the user interface module is in communication connection with the control module through the communication module. Through application of the video monitoring device, the environment detection device, the control module, the communication module, the user interface module and the monitoring system touch screen, omnibearing monitoring of the kitchen environment is realized, and the problems of convenience and effectiveness in the kitchen environment monitoring process are solved.

The invention discloses a seed fertilizer suitable for simultaneous sowing of cotton seed fertilizer and a preparation method and application, the seed fertilizer is composed of urea, ammonium polyphosphate, potassium sulfate, ammonium heptamolybdate, ethylenediamine ferric o-dihydroxyacetate, biostimulant and polyacrylamide, and the preparation method comprises the following steps: fully mixing the raw materials in batches by using a three-dimensional mixer, weighing and sub-packaging to obtain the seed fertilizer. The problem of accelerated moisture absorption caused by direct contact of urea easy to absorb moisture, mineral source potassium fulvate and polyacrylamide is effectively avoided; potassium sulfate is added, absorption of water vapor is effectively prevented, so that no moisture-proof agent is added, the added polyacrylamide has a water retention function, and seed fertilizer is applied into soil and cotton seeds are sown into the soil at the same time by utilizing a cotton seed fertilizer simultaneous sowing machine; according to the seed fertilizer formula and the application method, the problems of serious soil-borne diseases, insufficient soil fertilizer supply capability, insufficient development, poor resistance and the like in the cotton seedling stage can be solved, and the problems of cotton yield reduction and fiber quality reduction caused by the problems can be solved.

The utility model provides a vacuum box air bag sampler, and relates to the field of air samplers. The air bag sampler for the vacuum box comprises a sampling box, a sampling pipe and a sampling pipe, wherein an air bag is arranged in the sampling box; the collecting mechanism comprises a collecting head, and the collecting head is arranged outside the sampling box and is communicated with the air bag pipeline; the sampling box is provided with a sampling head, the adjusting mechanism is fixedly connected with the sampling box through a fixing piece, the threaded rod is rotationally connected with the fixing piece, one end of the telescopic piece is in threaded connection with the threaded rod through a sliding block clamped in the fixing piece, and the other end of the telescopic piece is connected with the sampling head; according to the air bag sampler, the adjusting mechanism is arranged to drive the collecting head to move up and down, so that the collecting head can move to different heights relative to the ground, air at different heights can be sampled, and the problems that a vacuum box air bag sampler in the prior art is single in sampling and cannot accurately reflect the real air quality condition of an area are solved.

The invention provides an electroencephalogram signal cross-equipment decoding classification model training method, a decoding classification method and equipment. The training method comprises the following steps: pre-training a hidden space deep neural network corresponding to a classification model based on an adversarial generative network based on a pre-training feature vector and a decoding type label corresponding to each electroencephalogram signal segment; using the network as a discriminator in a classification model, and inputting the feature matrix of the electroencephalogram signal fragment into an auto-encoder based on the convolutional neural network in the classification model to train the classification model; and training the classification model into an electroencephalogram signal cross-device decoding classification model for outputting a decoding type of electroencephalogram signal fragments and an electroencephalogram signal acquisition device type. According to the method, the problem that a decoding classification model trained by electroencephalogram signals of cross-manufacturer equipment is poor in reliability and effectiveness can be solved, and the data utilization rate of the electroencephalogram signals for training is increased.

The invention discloses a pile foundation damage identification method and device and a storage medium, and belongs to the technical field of engineering detection.The method comprises the following steps that structural dynamic response signals under wave excitation in the intact state and the current state of an ocean structural pile are obtained; the penalty factor of each frequency component in variational mode decomposition is adaptively adjusted through the penalty weight coefficient to decompose the dynamic response signal, and a decomposition result corresponding to each mode number is obtained; performing evaluation based on the signal integrity, and determining an impact signal in a decomposition result corresponding to the modal number of the maximum signal integrity as a damage characteristic sub-signal; calculating an energy factor of an effective component of the dynamic response signal according to the damage characteristic sub-signal; and judging whether a certain point of the structure is damaged or not according to the difference between the energy factors. According to the method, the penalty factor of each frequency component is adaptively adjusted through the penalty weight coefficient, and the optimal modal number is determined through the signal integrity of the decomposition result, so that the effective signal is extracted, and the purpose of accurately identifying the local damage of the pile foundation is achieved.

The invention discloses a ponding monitoring and early warning system based on edge intelligent processing. The ponding monitoring and early warning system comprises a data acquisition module, an edge intelligent processing unit and a decision module. The data acquisition module is configured at an accumulated water monitoring point and is used for acquiring accumulated water depth, water flow velocity and rainfall intensity data; the edge intelligent processing unit is arranged in the monitoring equipment and is used for locally extracting accumulated water depth change rate and change acceleration characteristics, evaluating data priority, identifying accumulated water state abnormity and dynamically deciding a data transmission strategy based on the priority and an abnormal mark; and the decision-making module generates multi-level early warning information according to the received data and can issue an instruction to adjust the transmission priority of the edge equipment. According to the system, real-time analysis and intelligent early warning of ponding characteristics are realized, the early warning timeliness is effectively improved through edge side data processing and dynamic transmission strategies, the data transmission quantity is reduced, and the stability and adaptability of the system in a complex environment are enhanced.

The application discloses a method, device and medium for discovering clues of illegal financial activities. The method comprises the following steps: collecting fund transaction data, Internet public data and complaint reporting data; based on a preset multi-category identification model, the fund transaction data, the Internet public data and the complaint reporting data are respectively screened in a targeted manner to obtain a plurality of suspected illegal financial activity clue data; the suspected illegal financial activity clue data is analyzed and processed through a preset logical rule to obtain illegal financial activity clues and correlation data; and based on the illegal financial activity clues and the correlation data, an illegal financial activity clue list and an abnormal correlation account report are generated. The method improves the clue identification efficiency.