21results about How to "Avoid serious impact" patented technology

The invention relates to the technical field of disaster prediction and early warning, in particular to a rural water supply project drought disaster prediction and early warning method and system. The method comprises the following steps: acquiring a hydrological data set; performing data preprocessing on the hydrological data set to generate a hydrological core processing data set; performing data feature extraction on the hydrological core processing data set to generate a hydrological feature data set; quantifying the hydrological characteristic data set to generate a multi-water-source drought early warning threshold calculation algorithm; constructing a multi-dimensional interaction model by using a multi-water-source drought early warning threshold calculation algorithm in combination with the hydrological characteristic data set, and generating a multi-source hydrological drought early warning and prediction model; therefore, by optimizing hydrological data processing and early warning threshold calculation, the problem of inaccurate prediction caused by inconsistent multi-source data in a traditional early warning system is solved, and the accuracy and reliability of early warning of drought disasters are greatly improved.

The invention relates to the technical field of network security analysis, in particular to a big data network signal security early warning system. The system comprises a network signal big data stream transmission module, a network signal ratio difference detection module, a network signal division result safety early warning module and a network signal abnormity safety response module. Data acquisition equipment can be deployed at an entrance and an exit of each network equipment, and network signal data real-time acquisition and big data stream type transmission conversion can be carried out, so that a network signal big data stream can be obtained; carrying out time sequence flow size and access frequency statistical analysis on the network signal big data flow, and carrying out network signal ratio difference detection division and abnormal safety early warning processing at the same time to generate a network signal abnormal safety early warning signal; and uploading the network signal abnormity safety early warning signal to a cloud platform to carry out abnormity safety response processing so as to generate a network signal abnormity safety response protection strategy. According to the invention, network signal abnormity can be efficiently monitored in real time and early warning can be provided.

The invention relates to the technical field of automatic welding, in particular to an automatic welding control method and system for an aluminum-based wiring terminal, and the method comprises the steps: enabling a welding parameter to change from an initial welding parameter to A1 by utilizing a PID control algorithm; according to the change sensitivity of each controlled variable, the time interval of each controlled variable is obtained, and temporary welding parameters are screened out from the historical welding parameters; and after the PID control algorithm sequentially changes all the control quantities according to the time interval, a target welding parameter A2 is obtained according to the temporary welding parameters and the change sensitivity of the control quantities in the temporary welding parameters, the PID control algorithm is used for changing the welding parameters, so that the welding parameters are changed from A1 to A2, and the like, and the current welding process is completed. According to the method, the welding process is controlled relatively accurately and reliably, and the welding process at some moments before is prevented from severely influencing the subsequent welding process.

The invention provides an electric power data transaction risk discovery method, system and device and a medium, and the method comprises the steps: recognizing key nodes in an electric power data traffic panoramic view based on the connectivity of the electric power data traffic panoramic view formed by electric power data traffic through employing a heuristic algorithm based on iteration tabu search; key nodes are monitored, and abnormal data nodes are found by comparing changes of the key nodes; according to the method, through connectivity analysis of the panoramic view of the power data traffic, key nodes in a service link are identified, protection key points are defined, a data transaction source can be quickly and accurately traced when data transaction occurs, and through implementation of the method, the data security can be improved, and the security of the power data traffic is improved. The structure and the function of a service active link are protected, the serious influence of leakage of sensitive data on the service is prevented, and the problems that a panoramic view angle is lacked and a data transaction node is difficult to discover in the existing data transaction tracing process are solved.

The invention provides a glass assembly and a vehicle, and relates to the technical field of vehicles, the glass assembly at least comprises a light-transmitting assembly, a dimming module and an atmosphere effect structure, the light-transmitting assembly comprises a first light-transmitting plate, a second light-transmitting plate and a third light-transmitting plate which are stacked; the dimming module is arranged between the first light-transmitting plate and the second light-transmitting plate, and the dimming module comprises a first light transmittance and a second light transmittance; the atmosphere effect structure comprises a light source and a pattern layer, the pattern layer is arranged on the third light-transmitting plate, and the light source is used for providing light for the pattern layer. The light emitted by the light source can be conducted to the pattern layer to form the atmosphere lamp effect, the attractiveness of the vehicle can be improved, the situation that the atmosphere effect structure is seriously affected when the external light is too strong can be avoided through the dimming module, the atmosphere lamp effect can be improved, and then the use experience of a user is improved.

The present application provides a fault acquisition device and a fault acquisition method. In the fault acquisition method, after each dual power switch establishes a data transmission channel with a remote platform through a one-to-one corresponding communication module, the remote platform determines the location information of the corresponding dual power switch through the reported fault alarm information of the corresponding dual power switch; then, the remote platform sends the fault alarm information and location information of the corresponding dual power switch to the corresponding electronic device; therefore, using the fault acquisition method of this embodiment, the maintenance personnel can learn that the corresponding dual power switch has a fault, and can quickly find the specific location of the faulty dual power switch, so that the faulty dual power switch can be repaired as soon as possible to avoid serious impact on user equipment.

The present invention relates to the field of automatic welding technology, and in particular to an automatic welding control method and system for aluminum-based terminal blocks, comprising: using a PID control algorithm to change welding parameters from initial welding parameters to A1; obtaining the time interval of each control quantity according to the change sensitivity of each control quantity, and screening out temporary welding parameters from historical welding parameters; after the PID control algorithm sequentially changes all control quantities according to the time interval, obtaining the target welding parameter A2 according to the temporary welding parameters and the change sensitivity of the control quantities in the temporary welding parameters, using the PID control algorithm to change the welding parameters so that the welding parameters change from A1 to A2, and so on, to complete the current welding process. The present invention performs relatively accurate and reliable control on the welding process, avoiding the serious impact of the welding process at some previous moments on the subsequent welding process.

Provided are a linear damper capable of reducing great collision sound or impact even when a great load rapidly acts and a steering device including the linear damper. A steering device 100 includes a linear damper 120 between a rack bar 103 and a rack end 106. In the linear damper 120, a relative displacement body 140 is provided to be reciprocatably displaceable in an inner chamber forming body 121 formed in a cylindrical shape. In the inner chamber forming body 121, a first inner chamber 125a and a second inner chamber 125b are formed on both sides of a valve support portion 123 supporting first flow control valves 127 and a second flow control valve 128. An end portion of the inner chamber forming body 121 facing a rack housing 104 is provided with a bumper portion 131. The bumper portion 131 is produced in such a manner that an elastically-deformable elastic body is formed into a circular ring shape.

The invention belongs to the technical field of crop disease and insect pest recognition, and particularly relates to a crop disease and insect pest recognition method which comprises the steps of 1, collecting disease and insect pest pictures; 2, preprocessing the pest and disease damage picture; step 3, training a multi-channel network model composed of a convolutional neural network and a capsule network by using the disease and insect pest picture to obtain a disease and insect pest recognition model; and 4, collecting crop pictures, and carrying out disease and pest identification by using a disease and pest identification model. The method comprises the following steps: collecting and preprocessing disease and insect pest pictures, training a multi-channel network model composed of a convolutional neural network and a capsule network to obtain a disease and insect pest recognition model, and further performing disease and insect pest recognition on crop pictures to obtain whether diseases and insect pests exist on crops or not. The plant diseases and insect pests on crops can be timely found and recognized in a large range, the plant diseases and insect pests are treated, and serious influences on crop growth are avoided.

The utility model discloses a road bioretention adsorption facility, which relates to the technical field of bioretention and comprises a prefabricated frame, an overflow water adsorption filtering mechanism is arranged on the inner wall of the prefabricated frame, a permeation filtering mechanism is arranged on the inner wall of the prefabricated frame, and the overflow water adsorption filtering mechanism comprises an overflow pipeline. The overflow pipeline is fixedly installed on the right side of the inner wall of the prefabricated frame, the right end of the overflow pipeline extends to the right side of the prefabricated frame, and a blocking net located on the right side of the prefabricated frame is fixedly installed on the inner wall of the overflow pipeline. Through the design of the blocking net, the activated carbon material can be blocked in the inner cavity of the overflow pipeline, overflowing rainwater flows through the inner cavity of the overflow pipeline, and then impurities such as gasoline in the overflowing rainwater can be adsorbed and filtered by the activated carbon material, so that the problem that the impurities severely influence the ecological environment is solved; and the environmental protection property of the structure is improved.

A biaxially stretched polyamide film, comprising a layer A containing 50 to 90% by mass of polyamide 6 and 10 to 50% by mass of polyamide 6 copolymer, a layer B containing 5 to 30% by mass of polyamide 6, 70 to 95% by mass of polyamide 6 copolymer, and 0 to 0.10% by mass of organic lubricant, and a layer C containing 70% by mass or more of polyamide 6 and 0.05 to 1% by mass of fine particles having an average particle diameter of 0.1 to 10 µm, wherein the layer B, the layer A, and the layer C are formed in this order; a critical surface tension on the layer B is 27.0 mN / m or higher; and on the surface of the layer B, a dispersion component yd of surface free energy is 27.0 mJ / m2 or higher and a hydrogen bond component yh is 10.0 mJ / m2 or lower.

The present invention discloses a device for unmanned mining of dangerous small mines in coal mines, which relates to the technical field of unmanned mining of coal mines, and includes a base, a fender, a track and a roller, wherein the bottom of the base is fixedly installed with a roller, the outer wall of the roller is provided with a track, the outer wall of the base is fixedly connected with a fender, the top of the base is fixedly installed with a signal box, the top of the base is fixedly connected with a cooling box, the front surface of the cooling box is provided with a cooling port, and the inner wall of the cooling port is provided with a cooling mechanism. The present invention sets a mining mechanism, so that when the robot is mining inside the small mine, the movable plate can be pushed out by an electric telescopic rod, and the drill bit can be set to mine the coal layer well, and at the same time, it can also avoid the situation that some large coal blocks cannot be processed. By setting a cooling mechanism, the robot can pump out the water in the water tank through a water pump when mining inside the small mine.

The invention discloses an energy storage equipment state monitoring method and system, and relates to the field of energy storage equipment state monitoring, and the method comprises the steps: collecting energy storage equipment data, and carrying out the preprocessing; inputting a VMD algorithm for decomposition to obtain sequence-free data; as input data of a WOA algorithm, outputting classified data; performing comparative analysis by taking envelope entropy, permutation entropy and information entropy as fitness functions, and determining classified and ordered data; and comparing with historical data, calculating to obtain correlation data, and outputting upper and lower safety margins of the energy storage equipment data by using a Bayesian estimation algorithm. According to the method, the VMD parameters are optimized through the WOA, and the Bayesian estimation method is combined, so that the error of the energy storage equipment is accurately evaluated. And through feature selection and dimension reduction, the complexity of data analysis is reduced, and the calculation efficiency is improved. Potential fault risks can be found and early warned in time, and serious influence of energy storage system faults on a power system is avoided.

The invention discloses a belt fault diagnosis method and device for a belt conveyor, a storage medium and a terminal, and the method comprises the steps: obtaining a target belt feature map of the belt conveyor; transmitting the target belt feature map to a fault diagnosis model, and outputting state information and type data of the target belt feature map by the fault diagnosis model; and when the state information of the target belt feature graph is a fault, obtaining a target maintenance suggestion from a fault diagnosis database based on a target fault type in the type data, and generating analysis maintenance data of the target belt feature graph based on a target fault level in the type data and the target maintenance suggestion. According to the invention, faults can be found and eliminated in time, and serious influence caused by further development of the faults is avoided; the problems that the number of operators is large and the working time is long during manual inspection of the belt conveyor belt are solved, manpower resources and overhaul cost are effectively saved, the working efficiency of belt maintenance is improved, and the equipment maintenance operation cost is reduced.

The present invention discloses a layout reinforcement method for SET effect, which includes forming a layout structure with SET reinforcement effect by at least one of seamless well / substrate contact and split active area on the basis of the layout design of standard cells after adding well contact and substrate contact reinforcement, wherein seamless well / substrate contact refers to canceling the shallow trench isolation STI between the well / substrate contact and the active area, and splitting the active area refers to splitting a wider transistor into several narrower transistors. The present invention aims to solve the problem that the SET effect of global signals such as clock trees and reset networks will have a serious impact on the whole chip, and to reinforce such global signals.

The present invention relates to the technical field of comprehensive evaluation of the elderly, and discloses a digital screening and remote detection method for comprehensive evaluation of the elderly, the method comprising: collecting vital sign data of the elderly and performing denoising processing, performing abnormal identification on the denoised vital sign data of the elderly, dividing the vital sign data of the elderly into normal data clusters and abnormal data clusters, and removing the abnormal data clusters to obtain corrected vital sign data of the elderly; and using an elderly health evaluation model to perform remote health evaluation on different elderly people. The present invention constructs a sequence influence that characterizes the relationship between a data sequence and a surrounding sequence to correct the distance between different data sequences, calculates different weighted sign deviations according to digital indicators of data sequences corresponding to different signs, the higher the weighted sign deviation, the higher the difference between the sign and other signs, maps the weighted sign deviations of different signs, constitutes the health of the elderly, and realizes remote health detection of the elderly.

The embodiment of the invention provides a heritable variation site processing method and system and a model training method, and relates to the technical field of biological genetics, the heritable variation site processing method comprises the steps that an initial site sequence of a biological sample to be processed is determined, and the initial site sequence comprises a plurality of heritable variation sites arranged in sequence; the initial site sequence is input into a site processing model, processing results corresponding to the multiple genetic variation sites are obtained, the site processing model is used for processing genetic variation site features of the genetic variation sites, the incidence relation between the genetic variation sites is determined, and the processing results are obtained according to the incidence relation. Adjusting the arrangement sequence of the heritable variation sites in the initial site sequence according to the incidence relation to obtain a target site sequence, and processing the target site sequence to obtain a processing result; the problem of low accuracy of the processing result output by the neural network model is avoided.

A steel sheet has a predetermined chemical composition containing, in mass%, C: more than 0.18% and less than 0.30%, Mn: more than 2.50% and 4.00% or less, and other elements. The steel micro-structure at a position at a depth of 1 / 4 of the sheet thickness from the surface in an L cross section of the steel sheet is, in area%, tempered martensite: 25 to 90%, ferrite: 5% or less, retained austenite: 10 to 50%, and bainite: 5% or less. At a position at a depth of 1 / 4 of the sheet thickness from the surface of the L cross section, the proportion of a total area of retained austenite grains having an area of 1 µm2 or more and having a grain shape circularity of 0.1 or more is less than 50% with respect to the entire area of retained austenite. The steel sheet satisfies the formula CMnγ / CMnα ≥ 1.2.

This invention discloses an underwater dynamic seal monitoring and flushing device, comprising a sealing housing and a first suction pump, a first check valve, a collection tank, a liquid level sensor, a second suction pump, and a second check valve arranged sequentially within the sealing housing. It also includes a discharge pipeline connecting the sealing cavity and the first suction pump, with a flushing fluid / compressed air inlet on the discharge pipeline, connected to an air control unit and a flushing unit storing the flushing fluid via a first solenoid valve and a second solenoid valve, respectively. The suction pump, collection tank, liquid level sensor, and discharge pipeline of this invention enable real-time monitoring of leakage in the dynamic seal device, effectively assessing sealing performance and seal life, and avoiding serious consequences from seal failure. Simultaneously, the flushing device of this invention provides good cooling and lubrication conditions for the dynamic seal device, contributing to an extended seal life.

The invention belongs to the technical field of crop planting area weed identification methods, and particularly relates to a crop planting area weed identification method, which comprises the following steps: step 1, collecting weed pictures; step 2, carrying out data enhancement processing on the weed picture; step 3, training a YOLO v5 algorithm by using the weed picture to obtain a weed recognition model; and 4, collecting a crop planting area picture, and carrying out weed recognition by using the weed recognition model. The method comprises the following steps: collecting a weed picture, carrying out data enhancement processing on the weed picture, training a YOLO v5 algorithm to obtain a weed recognition model, and carrying out weed recognition on a crop planting region picture by using the weed recognition model to obtain whether weeds grow in a crop planting region or not. According to the invention, weeds growing in a crop planting area can be timely found and identified in a large range, the weeds growing in the crop planting area are removed, and serious influence on crop growth is avoided.

To provide an adhesive capable of realizing adhesion excellent in shear strength and impact resistance, a polysiloxane composition usable as a component contained in the adhesive, and respective methods for producing the adhesive and the polysiloxane composition. The polysiloxane composition is a copolymer of an adhesive monomer unit A including an organosiloxane unit containing a substituent R A2 containing a catechol group, and a flexible monomer unit B including an organosiloxane unit containing no catechol group.