689results about How to "Strong applicability" patented technology

The present invention provides an intelligent voice interactive system and interactive method, the system includes: a processor, a storage device, a voice processing unit, a voice input device, a voice output device, a communication processing unit; the processor, the storage device, the voice processing unit and the communication processing unit are set on the circuit board, the storage device, the voice processing unit and the communication processing unit are connected with the processor by the concentration line forming an embedded control board; the voice input device, the voice output device are connected with the voice processing unit of the embedded control board respectively; the communication processing unit is set with a communication interface used for connnecting with the computer of client end software for install custom. The system is used as a common intelligent interactive platform, and user can set different interactive scenes and content aware, having wide applications, such as man-machine interactive processing system, intelligent toy or service robot etc, having strong application, strong practicability, processing work without computer.

The invention provides a method and system for sending an acknowledgement character message in a time division duplex system, which are suitable for being configured in a terminal for feeding back a hybrid automatic retransmission request acknowledgement character message (HARQ-ACK) by adopting a physical uplink control channel (PUCCH). The method comprises the steps of: receiving a physical downlink sharing channel (PDSCH) from a service cell in a binding window; when one PDSCH without the PDCCH and one PDSCH corresponding to the PDCCH with a downlink allocation index value equal to 1 of a main service cell are received in the binding window, feeding back a corresponding HARQ-ACK according to one of the following modes: feeding back a corresponding HARQ-ACK by adopting a PUCCH format 3, feeding back a corresponding HARQ-ACK by adopting a PUCCH format 1b, and feeding back a corresponding HARQ-ACK by combining a PUCCH format 1b with a channel selection mode. The invention does not influence the traditional protocol.

The invention relates to an intelligent assisted driving method and system. A lane line is obtained as follows: an image, shot by a camera, of a road in a vehicle driving direction is obtained; de-distortion processing is carried out on a video frame of the image by using an internal reference matrix of the camera and inverse perspective transformation is carried out on a selected to-be-transformed region src of the video frame; threshold segmentation is carried out on the video frame after inverse perspective transformation and a lane line and a background region are separated; statistics iscarried out on the lower part of the image after threshold segmentation and an intersection point of the lane line and the bottom of the image is obtained by statistics; searching is carried out by starting with the intersection point by using a sliding window, m pixels corresponding to the lane line are determined, and curve equation fitting is carried out on the m pixels to obtain a fitted laneline. With the method and system provided by the invention, the lane line is displayed in a display device inside the vehicle; and various conditions like sudden illumination changing, tree shadow shielding, and pavement blotting are detected accurately. The method and system have advantages of high applicability, low cost, high precision, good real-time performance and high stability.

The invention relates to a method and device for identifying image definition.The method for identifying the image definition comprises the steps that a first convolutional neural network is adopted to identify an interest region of an image to be identified and edge images, and an interest region identification result and at least one edge image identification result are obtained; the interest region identification result and the edge image identification results are adjusted respectively, and an interest region processing result and edge image processing results are obtained; the image to be identified, the interest region processing result and the edge image processing results are input into a second convolutional neural network, and the definition of the image to be identified is obtained.According to the method and device for identifying the image definition, a region concerned by a user can be better analyzed, the image definition identification result is closer to cognition of the user, the image definition of complex scenes such as background blurring can be better identified, and the applicability is high.

The invention discloses an auto-coupling welding and packaging mechanical device of a coaxial-type optical transceiving device, which comprises a workbench, an aligning unit, a lifting unit, a propelling unit, a manual lower fixture, a welding unit, a swinging unit, an upper fixture, an equipment housing and a control button, wherein an aligning unit base platform, the propelling unit and a welding workbench are installed on an equipment workbench; the propelling unit comprises a left propelling device and a right propelling device which are distributed in an angle of 45 DEG around a rotating shaft of a Theta z r autorotation platform; the manual lower fixture is placed on the left propelling device; the lifting unit is installed on the Theta z rotating platform; the welding unit and a portal-type frame are installed on the welding workbench, and the welding unit comprises three welding devices which are uniformly disturbed in an angle of 120 DEG around the rotating shaft of the Theta z autorotation platform; the swinging unit is installed on the portal-type frame; a Z-axis automatic linear slipway is installed on a swinging plate of the swinging unit; the upper fixture is installed on the Z-axis automatic linear slipway, and can realize pitching actions by depending on the action of the swinging unit; the equipment housing is installed on the equipment workbench; and the control button is installed on the equipment housing. The auto-coupling welding and packaging mechanical device has the advantages of reasonable and ingenious structural design, strong extendibility, space economization, high degree of automation, convenience for control, simpleness in operation and short operation time, therefore the cost of products is low and the quality is stable; and the problems of coupling, aligning and welding of the coaxial-type optical transceiving device are effectively solved, and the requirements of an industrialized production line are satisfied.

The invention relates to a preparation method of a heavy-calibre nickel base alloy thin-walled tubular product, which comprises the steps of: 1, preparing a nickel base alloy tube blank by adopting a thermal backward extrusion process, wherein the extrusion temperature is 1000-1250 DEG C, the worker die preheating temperature is 450-550 DEG C, the extrusion speed is 25mm / s-60mm / s; 2, thinning through cold spinning with strong force, wherein the first pass of thinning rate is 20-75 percent, other passes of thinning rates are 25-30 percent, the deformation during thermal treatment (annealing or solution treatment) is 50-75 percent, the feeding ratio of two passes before a finished product is obtained is 0.5mm / n-0.7mm / n, and feeding ratios of other passes are 0.8mm / n-1.5mm / n; and 3, carrying out thermal treatment (annealing or solution treatment) on a semi-finished product or finished product, scouring and cleaning. The heavy-calibre nickel base alloy thin-walled tubular product processed by adopting the invention has the advantages of high material utilization rate, low cost and high additional value, is suitable for massive production, and has remarkable economic benefit and social benefit.

The invention relates to a control system of an auxiliary robot of an orthopedic surgery, which belongs to the technical field of electromechanics and comprises an embedded central control module, a multi-axis movable control module, a plurality of alternating current servo drivers, a plurality of alternating current servo motors, a human-machine interactive module, a sensor module, a switch module, an indicator light module and an operating rod, wherein the embedded central control module comprises a system interface submodule, a state monitoring submodule, a network communicating submodule and a movable regulating submodule. The control system has high degree of freedom and strong applicability, can realize 7 degrees of freedom, has redundancy freedom, and is convenient for cooperative work of physicians. The control system has higher autonomy and open structure, can be used as a basic platform to be combined with various navigation systems, and has flexible operating modes, convenient manipulation and high positioning precision.

The invention discloses an automatic-ordering charging machine. The lower end internal side of the port of the feed hopper is fixed at one end of bottom of the elevating gear whose top is connected to the upper feed track. The whole machine is fixed in a supporter. A correcton strip is set in the inner track of the feed hopper and the lean of which decrease from up to down; a catch pin is set on the top of the outlet of the feed hopper. The arc steps are arranged on the surface of the conveying belt in equidistance and the electric motor is set between running wheels of two sides and fixed on the supporter; the chain is connected to the axis of the motor and the bottom wheel; the catch board is set at the two sides of the belt and higher than the arch steps. The oblique chute is on the top of the elevating gear and connected to the oblique feed way which is fitted with two photoelectricity switches staggeredly fore and aft.

The invention provides a remote sensing image super resolution reconstruction method and a system based on a depth convolution network. The method comprises steps: a to-be-processed remote sensing image is converted to YCbCr space from RGB space, and brightness space and chromaticity space are separated; a multilayer depth convolution network is built, a super resolution reconstruction model is built based on the multilayer depth convolution network, the super resolution reconstruction model is used for reconstructing the brightness space, and brightness space after reconstruction is obtained; with the brightness space after reconstruction as a guide graph, the chromaticity space is guided for joint bilateral filtering, and chromaticity space after reconstruction is obtained; the brightness space after reconstruction and the chromaticity space after reconstruction are integrated, the to-be-processed remote sensing image after integration is returned to the RGB space from the YCbCr space, a super resolution image is obtained, and the super resolution image has a higher resolution than the to-be-processed remote sensing image. The above method and the system, in a condition of not relying on a multi-temporal remote sensing image sequence in the same scene, realize super resolution reconstruction in view of the remote sensing image, and the image resolution is enhanced.

The invention relates to a radar remote sensing application technology analyzing radar observation information through images, in particular to an SAR image target detection and recognition integration method based on a convolutional neural network (CNN). According to the method, the convolutional neural network is utilized to automatically mine and select target features, shallow features and deep features are fused, a detection task and a recognition task of an SAR target can be completed at the same time, and SAR image target detection and recognition integration is realized. Compared with other SAR target detection and recognition algorithms, the method has higher detection and recognition efficiency and higher applicability.

The invention relates to equipment for modular treatment of oil field wastewater. The equipment comprises a wastewater pretreatment unit, a micro interface control unit for performing coagulation, decoloration and oil removing on a micro interface, a sedimentation unit for removing relatively large particle impurities, a sand filter processing unit for retaining fine flocs, an ozone catalytic oxidation unit for removing poisonous and harmful substances, an adsorption processing unit for removing dissolvable organic matters and micro heavy metal ions, a membrane processing unit for further removing the impurities with large particle size and a sludge processing unit for disposing sludge. The specific equipment comprises a chemical feeding system, a micro interface coagulation reaction box, an inclined tube sedimentation box, an intermediate booster pump, a filter, an ozone catalytic oxidation reactor, an activated carbon adsorption device, a membrane processing device, a stacked type sludge water extractor and a matching pipeline and valve control system. By the equipment, corresponding processing unit can be started through the preset pipeline control system according to different destinations of treated wastewater, and modular treatment of different kinds of oil well operation wastewater is realized.

The invention provides an image processing method for the centimeter-level precise landing of a UAV (unmanned aerial vehicle), and the method comprises the steps: making a target recognition pattern,enabling the UAV to fly to a place nearby a landing position, capturing an image, enabling a rotary PTZ camera to scan the ground surroundings if there is no target image recognized in a camera view at a current position, searching the target image, and adjusting the UAV to move above the landing point to start the form landing; recognizing the most apparent big rectangle at first in a landing process from a high place; recognizing three small rectangles again after the UAV descends to a certain height, enabling the UAV to land on the ground for recognizing a QR code at the center of the pattern best, determining the center position of the QR code after the target QR code is obtained, obtaining the horizontal distance at the centimeter-level precision, and achieving the centimeter-level precise landing. The method provided by the invention is accurate and reliable in recognition, is high in adaptability, has the centimeter-level precision, and solves the problems that a method for recognizing a QR image from a high place is limited in recognition height, is difficult to adapt to different brightness values and is weak in anti-interference capability.

The invention relates to a decision tree index-based neural network air quality prediction method. The method comprises the following steps of establishing a time sequence data set of related meteorological factors, air quality and atmospheric pollutant discharge; classifying the obtained training samples by using a decision tree DT algorithm to generate an optimal tree structure T alpha orientedby air quality characteristics and a corresponding classification result; according to the classification result, establishing a BP neural network model for each classification, and performing model training; inputting a prediction data set, performing classification indexing based on a decision tree, and selecting the trained DT-BP neural network model or the comprehensive BP neural network to predict the air quality; obtaining a continuous air quality prediction result based on an iterative algorithm; recording the frequency of occurrence of data sets which do not meet the decision tree classification matching rule, and automatically starting model updating when a set value is exceeded. The method is suitable for predicting and forecasting the air quality of conventional weather, abruptchange weather and heavy pollution weather.

An embodiment of the invention provides a method and an apparatus for measuring permeability of a porous rock. The method comprises the steps of acquiring a compression coefficient of a to-be-measured rock sample in a semi-closed condition; acquiring a compression coefficient of the to-be-measured rock sample in a totally-enclosed condition; and acquiring a permeability parameter of the to-be-measured rock sample according to the compression coefficient of the to-be-measured rock sample in the semi-closed condition and the compression coefficient of the to-be-measured rock sample in the totally-enclosed condition. The technical solution disclosed by the invention has the following technical advantages that 1) actually, elastic properties and the permeability property of the rock are evaluated at the same time, so that the evaluation is more objective; 2) the method and the apparatus are more beneficial to reservoir prediction and fluid identification aimed at exploration and to oil and gas resource assessment and development aimed at oil-gas field development; and 3) relatively accurate estimation (10<-8>-10<-2> Darcy) can be achieved in a large range of the permeability values by using the apparatus and the method provided by the invention, and the apparatus and the method provided by the invention have stronger applicability for reservoir rock samples with medium or high permeability.

The invention discloses a multi-unmanned aerial vehicle base station trajectory optimization and power distribution method. The multi-unmanned aerial vehicle base station is a plurality of unmanned aerial vehicle base stations which are located in the same frequency band and serve ground users, and the storage energy and the service radius of each unmanned aerial vehicle base station are different. The trajectory optimization and power distribution method comprises: performing trajectory optimization and power distribution; establishing an average field pattern game model based on interferenceinteraction; describing the interaction with other members on the basis of the average of the position states and the stored energy states of all unmanned aerial vehicle base stations under the condition of meeting the user communication quality; and constructing a dynamic equation and a cost function of state evolution, and continuously iterating and updating by using an average field value learning algorithm to obtain the optimal planning of the track and the downlink transmitting power. The problems of serious interference and high energy consumption under a communication network formed bythe existing multi-performance unmanned aerial vehicle mobile base station are solved.

The invention relates to a method for replacing a jet rod of a spraying machine, which is realized by adjusting the position change of side jet rods arranged at the two sides of a fixed jet rod and the length or installation position of an adjusting support rod connected between the side jet rods and a vertical jet rod; a spray pipe is connected and communicated with a vertical spray pipe provided with a spray head by a transverse spray pipe provided with a spray head through a flexible pipe, and the vertical spray pipe and the transverse spray pipe are respectively connected at the inner sides of the fixed jet rod and the vertical jet rod; and the spray pipes can form a follow-up change-tunnel-type spray pipe by the position change of the fixed jet rod, the side jet rods and the vertical jet rod, so that line spacing change of fruit trees and fence-frame crops as well as the spraying requirements of the fruit trees and the fence-frame crops with different shapes can be adapted. The invention has the characteristics of convenient adjustment of the positions of the spray pipes, pesticide application efficiency increment and strong applicability.

The invention relates to the cloud computing field, particularly to an enterprise cloud desktop management platform of an OpenStack cloud desktop. The enterprise cloud desktop management platform comprises a management center, a client management module, a user management module, an application management module, a template management module, a monitoring alarm module, an alarm processing module, a data processing module, and a storage management module. All modules work in a coordinated mode to realize management of a cloud server and a plurality of clients which the client management module belongs to. The platform has the following beneficial effects: because the work efficiency of the desktop management platform serving as the brain and core of the cloud desktop system affects application and promotion of the cloud desktop system directly, all functions of the cloud desktop are divided in detailed, so that the clients and users can be managed well; the platform is suitable for various clients and various operation systems, so that the applicability is high; the templates are established in a diversified mode and the demands of the clients can be predetermined according to the previous behaviors and registered data of the user, so that the templates can be recommended according to needs; and high usability, high fault tolerance, and rapid fault recovery of the cloud desktop are realized.

The invention provides a comprehensive recovery method for electroplating sludge. The method comprises the following steps: (1) mixing the electroplating sludge with sodium carbonate, and then roasting a mixture; (2) performing water leaching and filtration on roasted residue obtained in the step (1) so as to obtain leaching liquid and a filter cake; (3) adding sodium hydroxide in a CO2 neutralizing solution into the leaching liquid, adding seed crystal to remove aluminum and silicon in the solution, adding a reducing agent into a decontaminated sodium chromate solution for reduction, and filtering and washing obtained slurry to obtain a chromium hydroxide filter cake; (4) mixing filter residue obtained in the step (2) with inorganic acid, and then leaching a mixture to obtain leaching liquid and filter residue; (5) regulating the pH value of the leaching liquid obtained in the step (4) to be 1.0-4.0, and then performing filtration to obtain ferric hydroxide and a mother precipitation solution; (6) extracting a water phase through the mother precipitation solution obtained in the step (5) to obtain a nickel-containing solution, and reversely extracting an oil phase to obtain a copper-containing solution. The method is environment-friendly and pollution-free, has obvious economic benefits, and is an effective way to treat the electroplating sludge.

The invention discloses a space-adjustable multi-functional power cabinet. The space-adjustable multi-functional power cabinet comprises a cabinet body, a second cabinet body, a power-driven push rod,a first ventilation net, a rain cover, a second ventilation net, a motor, a crank shaft, a first connection rod shaft neck, a first sleeve, a first connection rod, a movable rod and a brush. The cabinet body, the second cabinet body and the power-driven push rod are arranged, the height of the second cabinet body can be adjusted by the power-driven push rod, so that the volume of the whole powercabinet is adjusted, the space is fully utilized, and moreover, power equipment with different volumes can be installed; the space-adjustable multi-functional power cabinet is high in applicability; and the motor, the crank shaft, the first connection rod shaft neck, the first sleeve, the first connection rod, the movable rod and the brush are arranged, the second ventilation net is continuously brushed by the brush in a matching way, the second ventilation net is prevented from being plugged with dust, heat dissipation is facilitated, and the cooling efficiency is improved.

The invention discloses a robot transporting clamp used for engine cylinder covers and based on vision. The robot transporting clamp comprises a clamp body. The clamp body is connected with a transporting robot body and is provided with a visual system, a detection system and a pneumatic control system, wherein the visual system, the detection system and the pneumatic control system are all connected with a control system of a transporting robot. The invention further discloses a robot transporting system used for the engine cylinder covers and based on the vision. The robot transporting system comprises the transporting robot, the robot control system, the visual system, the detection system and the pneumatic control system, wherein the robot control system controls the transporting robot, the visual system, the detection system and the pneumatic control system. According to the robot transporting clamp and the control system, automatic and smart transportation of the cylinder covers can be achieved, the transportation efficiency is high, the production cost is low, the transportation safety is high, and the machining progress requirement of robot machining can be met.

The invention provides a method for quantifying and extracting image texture characteristics of vascular wall and is used for early recognition and diagnosis of vascular wall pathological changes. The method includes steps of acquiring vascular wall images of multiple continuous frames by means of a medical imaging system; selecting an inner membrane-intermediate membrane layer of the vascular wall as an interested area from the vascular wall images of each frame, extracting texture characteristic values of the interested area, and acquiring average value of the texture characteristics values; and computing and analyzing the texture characteristic values and establishing a texture characteristic parameter group used for early recognition and diagnosis of the vascular wall pathological changes. The method for quantifying and extracting image texture characteristics of the vascular wall is capable of extracting the texture characteristic values of the vascular wall in any interested area, is beneficial to accurate positioning of pathological changes during pathological changes detection of the vascular wall, high in applicability, free of hardware upgrading in existing clinical imaging system, low in cost, easy to accept by hospitals and doctors and convenient to clinically popularize.

The invention discloses a method for predicting a lacustrine facies ultralow-porosity permeability reservoir tight oil sweet spot region. The method includes acquiring basic data related with hydrocarbon source rocks, reservoirs and cracks; according to the basic data, building a single-well hydrocarbon source rock TOC calculation model, a single-well reservoir parameter calculation model and a single-well crack calculation model; according to the single-well hydrocarbon source rock TOC calculation model, the reservoir parameter calculation model and the crack calculation model, calculating the values of single-well hydrocarbon source rock parameters, single-well reservoir parameters, single-well crack parameters and single-well source storage configuration parameters for each typical oil well; according to the obtained values of the single-well hydrocarbon source rock parameters, reservoir parameters, crack parameters and source storage configuration parameters, performing analysis of correlation between each parameter and accumulative output, and sensitive parameters are picked out; according to the values of the sensitive parameters in each typical oil well, obtaining a value range of the sensitive parameters in a tight oil sweet spot region; and according to the value range of the sensitive parameters and the measured values of the sensitive parameters in each position, obtaining a distribution range of the tight oil sweet spot region.

The invention discloses a self-adaptive detection control system and method for the narrow gap weaving arc welding width. By the adoption of the self-adaptive detection control system and method, the defects that when the existing narrow gap welding width is nonuniform, undercut, slag inclusion, nonuniform weld joints and the like are caused are overcome. According to the main points of the technical scheme, in the welding process, a weaving arc sensor controls an electric arc to swing so as to conduct scanning in the position of a slope, signals are collected by the sensor, the centering position deviation is determined by comprising the pulse number on the left side with the pulse number on the right side, the welding width change is judged by comparing the pulse sum, the swing amplitude of a welding torch is adjusted, and accordingly self-adaptive control and automatic centering of a welding gun are achieved. A detection algorithm is simple, the responds speed is high, the detection accuracy is high, the welding stability of the narrow gap weaving arc welding is improved, and welding defects are avoided.

The present invention relates to biodiesel oil preparing process and apparatus. In the heated esterification reaction of methanol, concentrated sulfuric acid and material oil inside a stirring reactor, the methanol is first heated and gasified into methanol vapor before entering the reactor from the bottom, and this results in liquid phase-gas phase reaction with high reaction speed and short reaction period. Therefore, the present invention has the features of fast reaction speed, short reaction period, saving in material, lowered heat energy consumption and other advantages, and is suitable for preparing biodiesel oil with different kinds of material oil.

The invention discloses an image haze removal method and system based on image layer enhancement. The image haze removal method based on image layer enhancement comprises the steps that S1, the atmosphere optical value A of an original image is estimated; S2, two layers of half-inversion images are constructed according to the atmosphere optical value, and linear contrast enhancement is conducted on the two layers of half-inversion images; S3, the absolute difference values between the original image and the enhanced half-inversion images in an H channel of a CIE LCH space are calculated, the weight distribution of the enhanced half-inversion images are determined according to the absolute difference values, and the two layers of enhanced half-inversion images are fused according to the weight distribution; S4, linear enhancement is further conducted on an image obtained after image infusion, and the image with the haze removed and the increased contrast ratio is obtained finally. By the adoption of the image haze removal method based on image layer enhancement, the situations such as insufficient enhancement or color distortion appearing when a traditional image enhancement algorithm is adopted in the prior art can be effectively avoided, the clear image with the haze removed is obtained, calculation is easy, the applicability is high, and the requirements for real-time processing and application can be met.

The invention provides a flying capacitor charging method and device which are applied to a multi-level topological circuit, so as to provide a flying capacitor charging scheme which is small in occupied area and high in applicability. The circuit is connected with an input power supply through a first switch and is connected with an output power supply through a second switch; the first end of afirst capacitor in the flying capacitor in the circuit is connected with the first electrode of a first semiconductor switch tube, while the second end is connected with the second electrode of a second semiconductor switch tube; the second electrode of the first semiconductor switch tube is connected with the first electrode of the second semiconductor switch tube through a second capacitor, wherein the second capacitor is an input capacitor, an output capacitor or another flying capacitor; and the method comprises the following steps of closing the first semiconductor switch tube and the second semiconductor switch tube, so that the first capacitor and the second capacitor are connected in parallel; charging the first capacitor and the second capacitor to a first set voltage value; disconnecting the first semiconductor switch tube and the second semiconductor switch tube; and charging the second capacitor to a second set voltage value.

The invention discloses a rapid molding apparatus. The apparatus comprises a box body, the bottom of the box body is provided with a printing panel which can lift along the Z axis, a printing head and a moving mechanism for driving the printing head to move along the X axis and the Y axis are arranged above the printing panel in the box body, the printing head is detachably arranged on the moving mechanism, and the top of the box body is provided with an opening for the printing panel to lift out of the box body, and a movable skylight for shielding the opening. The printing head is detachably arranged on the moving mechanism, so a user can select a corresponding print head as required, so the printing of a variety of materials is realized, and the applicability is strong; the printing panel is paved with a silica gel membrane, and the lifting mechanism can automatically send products out of the box body after printing is completed, so the products can be very conveniently taken from the work panel; and the shell of the printing head is clamped and fixed to a fixing piece, and is detachably mounted on an Y-axial slide rail, so the user can replace the printing head as needed, and the applicability is strong.

The invention belongs to the field of debris flow prevention and treatment projects as well as water conservancy projects, and relates to a method for judging the risk of ice lake outburst. The method comprises the following steps: determining basic topographic data of an outburst ice lake and peripheral non-outburst ice lake through Google Earth: gradients alpha of ice lake support ice tongues and slope aspects theta of glaciers; and calculating a topographic comprehensive judgement factor S of the ice lake outburst: S=tan(alpha)+0.5sin(theta / 2), and dividing the risk of the ice lake outburst according to the topographic comprehensive judgement factor S of the ice lake outburst. According to the method for judging the risk of ice lake outburst, internal mechanism research is carried out on the degree of the ice lake outburst through researching the topographic factor, and an ice lake burst easy-happening calculation model; the topographic influence factors of the ice lake outburst are comprehensively considered, and the risk areas of the ice lake outburst are precisely divided in a quantified manner; in the formula 1, S, tan(alpha) and sin(theta / 2) are dimensionless parameters, can be used under various ice lake outburst conditions, and have stronger applicability.