213results about How to "Avoid difficulties" patented technology

The invention discloses a construction method for a ballastless track of a steel base plate bearing rail table type. The construction method comprises the following steps: collecting midline mileage data of a double-block sleeper on site, synchronously widening a transition area track bed, determining the geometric dimension of a steel base plate, carrying out in-plant finish machining, synchronously arranging the steel base plate bearing rail table, calculating coordinates and carrying out on-site lofting. Drilling a track bed in the transition area and arranging a track bearing table; shifting and connecting steel rails in a transition area; track fine adjustment and operation maintenance; the steel rail is shifted back to a main line; dismantling the temporary line; repairing the existing ballast bed and the waterproof layer; the invention relates to the technical field of railways. The method solves the problem that a ballastless track structure is difficult and complex to access a new line.

The embodiment of the invention provides a multi-source alarm processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. Obtaining a to-be-processed alarm, and matching and determining an early warning classification label of the to-be-processed alarm from a pre-constructed knowledge graph according to the entity information of the to-be-processed alarm; and inputting the alarm information of the to-be-processed alarm into a pre-trained multi-fusion model to determine an early warning classification label under the condition that the matching of the early warning classification label according to the entity information of the to-be-processed alarm fails. By the adoption of the technical scheme, the difficulty brought to follow-up study and judgment due to the fact that alarms come from different information collecting devices and report different original alarm information is avoided, the workload and the error probability of manual alarm checking, analysis, classification and integration are reduced, and the working efficiency is improved.

The utility model belongs to the technical field of engineering, and particularly provides a multi-stage energy dissipation channel structure suitable for abrupt slope terrains, which comprises a multi-stage energy dissipation unit, an outlet apron and a reinforced gabion which are sequentially connected from top to bottom. Each stage of energy dissipation unit comprises an abrupt slope and a stilling pool, and the lower end of the abrupt slope is connected with the stilling pool. However, energy formed by overhigh height difference is concentrated at the tail end for energy dissipation treatment, and the problems of large investment, large occupied area and poor safety often exist. According to the utility model, the difficulty that energy generated by height difference is concentrated at the tail end to be eliminated is avoided, the energy dissipation effect is greatly improved, the safety is better guaranteed, the building scale is reduced, and the investment is reduced.

The invention discloses an electronic medical record text analysis method based on a hypergraph, and the method specifically comprises the following steps: 1, data collection: determining a data collection source, carrying out the communication with an interface of a data source or an AP I, automatically collecting medical dialogue records, and safely storing the collected data in a database or a data warehouse; 2, data preprocessing: performing data cleaning, standard formatting, duplicate removal, data segmentation, feature extraction, data conversion, data enhancement and sensitive information desensitization on the data; the invention relates to the technical field of electronic medical record texts, provides an electronic medical record text processing technology, and aims to improve the influence of negative samples in entity recognition and relation extraction tasks on model performance. By utilizing a multi-task learning method in span-based joint entity relationship extraction, the problem that the performance is reduced when a current model processes non-entity spans or irrelevant spans is solved.

The invention relates to the technical field of new energy and energy saving, and provides a new energy-based park carbon emission carbon reduction amount prediction method and system, which fuse and use a comprehensive similar day selection method of grey correlation analysis-dynamic time warping-Euclidean distance-included angle cosine combination, completely integrate empirical mode decomposition adaptive noise, and improve the prediction accuracy of the carbon reduction amount of park carbon emission. A high-precision photovoltaic short-term power generation power combined prediction model is established, and the problems that a similar day selection method of a traditional photovoltaic output prediction model excessively depends on subjective experience judgment, the screening standard is single, photovoltaic power generation data contains noise and multi-scale characteristics and the like are solved. The difficulty of accurate prediction of output caused by intermittency and volatility of photovoltaic power generation is overcome, and accurate prediction of photovoltaic power generation capacity is realized; and on the other hand, the photovoltaic output prediction result is innovatively combined with the electric power carbon emission factor, accurate measurement and calculation of the carbon reduction amount of the park new energy project are achieved, and powerful support is provided for achieving the green and low-carbon development target of the park.

The present invention discloses an electric folding wheelchair capable of ascending and descending steps. The wheelchair seat assembly is installed on the upper part of the wheelchair chassis assembly in a manner that the wheelchair seat lifting assembly can be lifted and lowered; the wheelchair wheel assembly and the wheelchair ascending and descending steps assembly are installed on the wheelchair chassis assembly; wherein the wheelchair seat assembly is composed of mutually connected foldable armrests, a foldable backrest and a wheelchair seat plate that can be translated; the wheelchair seat lifting assembly is a scissor-type mechanical structure, the upper end of the scissor-type mechanical structure matches the bottom of the wheelchair seat assembly, and the lower end of the scissor-type mechanical structure matches the wheelchair chassis assembly; the wheelchair wheel assembly is composed of a front wheel drive motor, a rear wheel drive motor and the front wheelchair wheel and the rear wheelchair wheel driven by the motor; the wheelchair ascending and descending steps assembly is composed of a front auxiliary wheel, a rear auxiliary wheel, a large motor and its power transmission mechanism. The present invention can be folded, saves space, and the seat can be freely translated and lifted, and has the function of ascending and descending steps, which is safe and reliable.

The invention aims to provide a compressor blade vibration fatigue failure probability evaluation method. The method comprises the following steps: constructing a probability Goodman curve of a blade material; obtaining the vibration stress distribution of the blade at the dangerous rotating speed; determining a vibration fatigue dangerous part of the blade, and obtaining the steady-state stress of the vibration fatigue dangerous part; and calculating the vibration fatigue failure probability of the dangerous part of the blade according to the steady-state stress and the vibration stress amplitude of the vibration fatigue dangerous part of the blade based on the blade material probability Goldman curve. The evaluation method can solve the problems that an existing blade vibration fatigue failure probability evaluation method does not conform to the design thought of high-cycle fatigue infinite life of the blade, the test amount is large, and engineering feasibility is lacked.

The invention relates to a big model-based forensic analysis plug-in generation method and system, and belongs to the technical field of forensic analysis, and the method comprises the following steps: obtaining a to-be-forensic file, and carrying out the file format recognition, preprocessing and structural feature extraction; the structural features comprise structural complexity, field type distribution, field naming rules and file size and data volume; based on the forensic analysis plug-in, generating a task demand and a to-be-forensic file structure feature, and constructing a forensic intelligent prompt word framework; selecting an adaptive large model based on the structural features of the to-be-evidence-taken file, taking the structural features of the to-be-evidence-taken file and the evidence-taking intelligent cue word framework as input of the selected large model, and outputting an evidence-taking analysis plug-in code snippet by the selected large model according to an evidence-taking demand; the generated code snippets are integrated into a complete forensic analysis plug-in code through a code merging tool, the forensic analysis plug-in is verified through a plug-in platform, and the verified forensic analysis plug-in is deployed and applied.

The invention discloses a hanging and conveying device for clothes. Comprising a conveying rack fixedly hung on a roof, a plurality of moving supports movably hung on the edge of the conveying rack, a moving assembly driving the moving supports to move along the edge of the conveying rack, a T-shaped hanging rack rotating on the moving supports, a rotating assembly controlling the T-shaped hanging rack to rotate, and a rack taking plate fixedly hung below the conveying rack. The first supporting plates are fixed to the upper surface of the frame taking plate, the two ends of the first rotating shaft are rotationally connected with the two first supporting plates, the two ends of the first overturning plates are fixedly connected with the first rotating shaft, the overturning assembly drives the overturning plates to overturn, the upper frame plate is fixedly hung on a roof, and the second supporting plate is fixed to the upper surface of the upper frame plate. The first chain wheels rotate on the second supporting plate, the first chain is arranged on the two first chain wheels in a sleeving mode, the multiple pushing frame blocks are evenly fixed to the first chain, and the servo motor drives the first chain wheels to rotate. The clothes hanger has the advantage that the clothes hanger can be automatically and safely taken down and hung on the clothes hanger.

The present invention provides a method and system for constructing a knowledge graph for mathematics courses, and relates to the technical field of knowledge graphs. The present invention solves the technical problem that the current relationship extraction method cannot accurately mine the entity relationship of mathematics courses, and realizes a relationship classification method by integrating sparse biaffine attention and adaptive threshold loss, overcoming the difficulties of extracting complex dependencies and overlapping relationships. At the same time, a hyperbolic space word embedding sparse projection model is used to predict the upper and lower relationships. The hyperbolic space has the ability to express hierarchical structures, can better predict the upper and lower relationships, and reduce the computational cost.

The invention discloses a vehicle speed prediction method and system in a dynamic vehicle following scene considering a traffic environment, and the method comprises the steps: extracting vehicle following case data through setting a standard and a threshold value of a vehicle following process in a natural driving data set; using a target detection algorithm to obtain traffic environment characteristics related to the vehicle following case data, extracting vehicle dynamics parameters in the vehicle following case data, fusing the vehicle dynamics parameters and the traffic environment characteristics, and performing normalization processing to obtain fusion characteristics; removing redundant variables in the fused features by adopting a combined feature selection method; and dividing the fusion features from which the redundant variables are removed into a data set, training a pre-established Informer-FDR vehicle speed prediction model, and obtaining a vehicle speed prediction result by using the trained vehicle speed prediction model. The method effectively reflects the dynamic interaction characteristics of the driver and the traffic environment and potential traffic conflicts, enhances the understanding of the model for the complex driving environment, and improves the real-time performance and accuracy of vehicle speed prediction.

The invention discloses an omnidirectional energy collector based on a piezoelectric effect and an adjusting method thereof, and belongs to the technical field of energy collectors. According to the invention, omnidirectional energy collection can be realized, and the complex structure caused by arraying unidirectional collectors along different directions and the difficulty brought by signal processing are avoided; under the action of the mass block and the support slender rod, the bending deformation of the piezoelectric plate is greater than the deformation generated by only placing the side plate, and meanwhile, the defect of low torsional deformation voltage signal is avoided; the inherent frequency of the structure can be changed through the mass and the height of the mass block, resonance with the excitation frequency is achieved, bending deformation of the piezoelectric plate is increased, and therefore piezoelectric voltage output is improved. Due to the fact that the side plates have certain elasticity, when the mass block swings back, the side plates swing back, the structure that the side plates are arranged up and down is adopted, and motion interference generated when the side plates swing back can be effectively avoided.

The invention discloses a source-network-load combined scene generation method and system considering meteorological coupling factors, and the method comprises the steps: carrying out the correlation analysis of historical meteorological data and historical source-network-load data, obtaining key meteorological factors, and carrying out the clustering and grouping of the key meteorological factors; according to the clustering grouping result of the key meteorological factors, dividing the source-network-load data corresponding to the time to which the key meteorological factors belong into groups, and obtaining a source-network-load data grouping result; and constructing and training a generative adversarial network model of each group according to a source-network-load data grouping result, inputting the source-network-load data into the trained generative adversarial network model, and generating a source-network-load joint scene set. According to the method, meteorological factors are used as a key climatic factor set of source-network-load correlation, a complex scene reduction link required by scene random matching after the source, the network and the load are respectively generated is not needed, and the scene generation efficiency is effectively improved.

The invention belongs to the related technical field of welding devices, and particularly discloses a flange profiling welding device which comprises a tank body and a moving frame, a flange pipe is arranged on the upper portion of the inner side of the tank body, the upper surface of the moving frame is connected with a moving seat through an arranged lifting mechanism, and an L-shaped frame is fixedly installed on the upper surface of the moving seat; the upper surface of the L-shaped frame is connected with a first gear through an arranged rotating meshing assembly, a mounting cylinder is fixedly clamped to the inner side of the first gear, a fixing shaft is arranged on the lower portion of the inner side of the mounting cylinder, the top end of the fixing shaft is connected with the top wall of the L-shaped frame, and the mounting cylinder is in rotating fit with the fixing shaft; according to the welding device, a flange pipe of a tank body can be welded, and welding of the arc surface of the flange base can be achieved by imitating a through arc-shaped welding seam, making contact with the arc surface of an inner container, of the flange base through the radian on the guide wheel.

The invention relates to a low-orbit inclined orbit constellation network routing method, which comprises the following steps of: 1, estimating communication states of all different-orbit inter-satellite links by obtaining connectable duration estimation of a single different-orbit inter-satellite link and obtaining a communication state switching moment offset matrix of all different-orbit inter-satellite links; step 2, the communication states of all different-orbit inter-satellite links are estimated; according to the method, the on-off states of all different-orbit inter-satellite links in the whole constellation are estimated by utilizing an inter-satellite distance measurement result and a periodic rule of constellation system motion, and the residual connectable duration of the different-orbit inter-satellite links is used as an important parameter for evaluating the link value; according to the constellation network routing method based on the complete constellation network connection relation table and the link value table, the problems of cross-orbit communication time delay and packet loss rate increase caused by sudden disconnection of different-orbit inter-satellite links are effectively avoided, and the difficulty caused by constellation network topology change to low-orbit inclined-orbit constellation network routing is overcome.

The invention provides a geotechnical mat with an electroosmosis function, and belongs to the technical field of geotechnical mats. The geotextile mat comprises a fixing rod arranged on a geotextile mat body; the electrodes are arranged on the geotechnical mat body, are fixed on the fixing rods, are used for providing an electroosmosis function for the geotechnical mat and are also used for serving as keels of the geotechnical mat to limit deformation of the geotechnical mat; the data collector is arranged on the geotechnical mat body and used for measuring the pressure and the water content of the tailings and transmitting the pressure and the water content to the power supply collecting device; and the potential probe is arranged on the data acquisition unit and is used for measuring current and voltage between the tailings and transmitting the current and voltage to the power supply acquisition device. The electrodes and the data collector are arranged on a traditional geotextile mat, and the power supply collecting device is matched, so that the geotextile mat has the electroosmosis function, the drainage strength can be adjusted according to the actual situation, and monitoring-drainage integration is achieved.

The invention discloses a gas station oil discharge standard behavior detection method based on a video stream. The method specifically comprises the following steps: setting an image acquisition module to carry out image acquisition on a detection area as required; constructing and training a deep learning detection model for identifying a target object in the detection area; judging the credibility of a detection result output by the detection model according to an experience confidence threshold; and carrying out logical judgment on the credible detection result to determine whether the oil unloading process is a standard behavior or not.

The invention discloses a multi-channel and multi-color injection mold, and relates to the technical field of multi-color injection molding.The multi-channel and multi-color injection mold comprises a bottom mold, a female mold is fixedly connected to the top face of the bottom mold, a section block is fixedly connected to the top face of the female mold, and a guide groove is formed in the top face of the female mold.The multi-channel and multi-color injection mold has the advantages that hard plastic and soft rubber can be subjected to injection molding at a time; the production time and the input cost are saved, meanwhile, fixation between the hard plastic and the soft rubber can be completed through natural melting, other connecting modes are not needed, the time and the cost are further saved, meanwhile, the fixing effect of the connecting position is guaranteed, the service life is prolonged, the product quality is guaranteed, meanwhile, simultaneous injection of raw materials is avoided, and the production efficiency is improved. Blockage of the mold is avoided, a product can be normally formed, opening and closing of the injection hole can be automatically controlled according to the production sequence, a sensor and other elements do not need to participate in work, the situation that the service life of the mold is affected by faults of electrical elements is avoided, and wire arrangement difficulty is also avoided.

The invention discloses a novel administration method for eye administration. The novel administration method specifically comprises the following steps: S1, filling a special solution bottle with a drug solution; s2, the solution bottle is aligned with the eyes to be used in the spraying process, medicine fog drops enter the eye liquid medicine bottle to be combined with an atomization device to be used, fine fog-shaped liquid drops are sprayed out through the atomization device, the particle size of the fog drops ranges from 0.1 micrometer to 60 micrometers, and the fog drops reach eyeballs and the peripheries of the eyes; s3, administration is performed in a medicine and mechanical combination mode during use, the medicine solution and the atomization device can be separately produced and prepared, and the medicine solution and the atomization device are combined during use. According to the novel administration method and atomization administration mode for eye administration, the medication treatment effect can be improved, the risk of eye infection caused by drugs is reduced, the discomfort of eyes during medication is improved, and the medication compliance of patients is improved.

The invention provides an image picture quality evaluation method and system, a storage medium and electronic equipment, and relates to the technical field of image processing. According to the application, the first feature angular point of the source image and the second feature angular point of the target image are acquired, the corresponding first feature vector and the second feature vector are determined, and the accurate position relationship is determined. The method is used for capturing possible displacement and / or stretching change of an image in the playing process. Then, the random sampling points of the to-be-evaluated picture can be accurately mapped back to the ideal state, namely the corresponding source picture position, by utilizing the position relationship, so that the mapping point matrix is generated, the points in the to-be-evaluated picture are effectively mapped to the corresponding source picture position, the difficulty of directly evaluating the possibly existing deformed picture is skillfully avoided, and the accuracy of the to-be-evaluated picture is improved. And in other words, the source picture state which is theoretically not influenced by the deformation is evaluated, so that the evaluation accuracy is remarkably improved.

The utility model provides a traction device and a bundling machine. The traction device comprises a traction input shaft, a hitching plate assembly, a front traction connecting frame welding part, a traction middle shaft, a rear traction connecting frame welding part, a traction output shaft, a pair of traction beams and a limiting mechanism, the traction input shaft is connected with the traction middle shaft, the traction middle shaft is connected with the traction output shaft, and the traction output shaft is connected with the hitching plate assembly. The hitching plate assembly is installed on the front traction connecting frame welding part, the front traction connecting frame welding part is rotationally connected with the rear traction connecting frame welding part, and the traction middle shaft is rotationally installed in the front traction connecting frame welding part and the rear traction connecting frame welding part. The pair of traction beams is connected with the rear traction connecting frame welding part, and the limiting mechanism is installed at the connecting position of the front traction connecting frame welding part and the rear traction connecting frame welding part.

This invention discloses a multi-output residual ensemble weather forecasting method for global applications, primarily addressing the problem that the accuracy of mainstream AI-based weather forecasting models declines significantly with increasing forecast time steps. The method includes the following steps: S1, establishing a multi-output residual ensemble weather forecasting model, which includes a naive method module, a visual converter, a linear decoder, m residual modules, an ensemble module, and an adder; S2, inputting weather images into the naive method module, the visual converter, and the residual modules; S3, integrating and constraining the residual blocks in the ensemble module, outputting the integrated residuals; S4, outputting the final weather forecast result. This invention better suits the characteristics of weather data and can better handle heterogeneous integrated data, thereby improving the accuracy of short- and medium-term weather forecasts.

The invention discloses an electronic manufacturing industry production line UPH intelligent prediction method, system, device and medium, and the method can learn a deep interaction relationship between a line body and a product through adversarial training through a generator of a collaborative filtering generative adversarial network, so that even if a new product lacks enough historical data, the production line can be predicted more accurately. The generator can also find a mode similar to other line bodies in a potential space and generate a relatively reasonable UPH, and for an old product with a theoretical UPH and an actual UPH, the relatively reasonable UPH can be generated only by correspondingly inputting a current line body feature vector and the theoretical UPH of the product in the corresponding line body; according to the method, the difficulty that in the initial production stage of a new product, due to lack of reference bases, UPH can be generally formulated only according to the same industry standard or the average yield per hour of the production line can be solved; and meanwhile, the problem of UPH updating hysteresis caused by personnel or equipment can be solved.

The invention discloses automatic machining equipment and method for refrigeration equipment accessories for a cold chain, and relates to the technical field of refrigeration equipment accessory machining. The automatic machining equipment comprises a machine base, a control panel is installed on the side wall of the machine base, a workbench is slidably connected to the side wall of the machine base, and the workbench is slidably sleeved with a sliding frame; the welding device has the advantages that the pipe diameter of the connecting position of the metal pipes is adjusted, and the metal pipes with two pipe diameters can be welded together, so that the metal pipes with the two pipe diameters can be connected without participation of connecting pieces, the investment of material cost is reduced, the size of the connecting pieces is prevented from being adjusted and controlled, and the production efficiency is improved. The pipe diameter at the joint of the metal pipe can be adjusted while the metal pipe is fastened, so that the automatic machining period of the refrigeration equipment accessory is shortened, the fastening of the metal pipe and the adjustment of the pipe diameter do not need to be independently controlled, a plurality of control elements do not need to participate in the machining process, the cost is reduced, and the difficulty of wire arrangement is also avoided.

Disclosed is an Ampere force quantitative experimental device, including a coil, an electromagnet, a turntable, a bracket, a micro-force sensor, a current sensor, an angle sensor and a power supply. The bracket includes a base, a rotating support seat arranged above the base and a cantilever structure for arranging the micro-force sensor. The turntable is installed on the rotating support seat. Two electromagnets are arranged on the turntable and are respectively connected to the power supply. The angle sensor is arranged at the bottom of the bracket for detecting the rotation angle of the turntable. One end of the coil is suspended at the bottom of the micro-force sensor and placed between the two electromagnets. The power supply, the current sensor and the coil are connected in series to form a first loop, and the power supply and the electromagnet form a second loop. The experimental device of the invention has high measurement accuracy, stable data and high accuracy, and can comprehensively, quantitatively, intuitively and quickly measure the size of the Ampere force F and five related physical quantities (B, I l , L, Sinθ, θ) relationship.

The present invention relates to an interference spectral imaging restoration method and system based on degradation simulation, and belongs to the technical field of remote sensing image processing. In the degradation modeling calibration, the degradation elements in the interference imaging are divided into trend items and noise, and the degradation process is modeled into three stages: instrument degradation, photosensitivity degradation, and signal-independent degradation. The interference imaging degradation model and the corresponding model calibration method are used to extract the degradation characteristics and model parameters of each stage for a specific instrument, generate corresponding calibration results, and use them to generate highly realistic interference data. In the restoration process, a multi-stage restoration algorithm framework is constructed to process the trend items, transformation calculations and other elements and noise in the degradation process separately. At the same time, a multi-stage simulation data set generation method is designed, which can generate a high-fidelity simulation interference pattern data set dedicated to training the entire algorithm from the spectral data set according to the calibration results. The present invention achieves more efficient and better-effective interference imaging restoration.

The present invention provides a storm motion vector estimation method, system and computer storage medium, belonging to the field of weather radar monitoring technology. The estimation method can estimate the 3D storm motion field vector based on a deep learning network, with high robustness and accuracy, and the output motion field estimation result has high resolution. The estimation system has the function of implementing the above-mentioned storm motion vector estimation method. The computer storage medium stores computer instructions, which can implement the above-mentioned storm motion vector estimation method when executed by a processor.

This invention relates to the field of cooperative control technology, specifically to an adaptive event-triggered fixed-time consistency control method for multi-agent systems, comprising the following steps: S1, constructing a mathematical model of a nonlinear high-order multi-agent system with uncertain dynamics; S2, constructing a Lyapunov function containing a lower bound of uncertain parameters based on coordinate transformation; S3, designing an adaptive event-triggered controller with a positive bounded function using a backstepping control method, including a virtual controller, an adaptive law, and an event triggering mechanism; S4, proving through stability analysis that a high-order nonlinear multi-agent system with uncertain dynamics can achieve consistent output at a fixed time and avoid Zeno behavior. This invention's adaptive event-triggered fixed-time consistency control method for multi-agent systems solves the problem of consistent output at a fixed time for a class of high-order nonlinear multi-agent systems and extends existing results on consistent output at a fixed time.

The application provides a downhole supercritical carbon dioxide fracturing coal rock device and a construction method, which comprises a coal seam, a fracturing borehole, a hole blocking section, a hole sealing section, a fracturing section, a monitoring hole, a fracturing system, a temperature control system, a grouting system, a liquid carbon dioxide pressurizing system, a proppant mixing system, an extraction system and a data collector; the fracturing borehole is arranged on the coal seam and comprises the hole blocking section, the hole sealing section and the fracturing section; a plurality of monitoring holes are arranged on the coal seam and are spaced apart in the circumferential direction of the fracturing borehole; and the fracturing system is connected with the temperature control system. The proppant mixing system can improve the performance of the liquid carbon dioxide carrying proppant mixture, so that the proppant mixture effectively enters the fracturing fracture and maintains good flow conductivity. The temperature control system overcomes the difficulty in preparation of downhole supercritical carbon dioxide and can realize injection of carbon dioxide in a supercritical state into the fracturing coal seam.

The utility model discloses a kind of textile printing and dyeing waste liquid recovery treatment device, including processing tank, further include: rotary electrolysis component, rotary electrolysis component includes electricity column, pivot is installed in the side of electricity column;Electricity column side is connected and is installed with support, the side of support is provided with first electric pole, the other side of first electric pole is provided with second electric pole, electrolytic plate is fixedly installed between first electric pole and second electric pole, the surface of electrolytic plate is provided with sieve hole array.This utility model is provided with rotary electrolysis component, this component is by using point explanation flocculation mode to make the impurity in waste liquid gather on the surface of sieve hole by flocculation mode, since using is point explanation mode, make the efficiency of cleaning greatly improve.Since flocculating material is directly adsorbed on the surface of sieve hole, subsequent cleaning mode is also very simple, direct flushing can realize cleaning.Avoid the difficulty of replacing filter element in prior art, thus having advanced nature.