32results about How to "Easy to grasp" patented technology

The utility model discloses equipment for screening building materials in the technical field of building materials, which comprises a screening box, a screen mesh, a feed port, a first discharge port, a second discharge port, a supporting seat, a scraper mechanism and a vibrating mechanism, the feed port is arranged at the top of the screening box, the first discharge port is arranged on the side wall of the screening box, and the second discharge port is arranged on the side wall of the screening box. The second discharging port is formed in the bottom wall of the screening box, a cavity is formed in the screening box, the screen is arranged in the cavity, the feeding port, the first discharging port and the second discharging port are communicated through the cavity, the scraper mechanism comprises a scraper, a push rod and a power mechanism, and the power mechanism drives the scraper to move back and forth on the upper surface of the screen towards the first discharging port. Supporting legs are arranged at the bottom of the supporting seat, a cavity structure sleeved with the supporting legs is arranged at the top of the vibration mechanism body, the vibration mechanism is arranged at the bottom of the supporting seat, and a convex block of the vibration mechanism rotates to drive the screening box to vibrate up and down. The technical problems that a screen of an existing device is prone to being blocked, and the screening efficiency is low are solved.

The invention discloses a citrus orchard image data acquisition and annotation method, which relates to the technical field of image acquisition, and further comprises a factor analysis module, a default module, an image data standardization module, an image database module, an abnormal image analysis module, an abnormal root analysis module and a correction module. The system has the advantages that the quality of the acquired citrus orchard image can be obviously improved through the default module, the state and details of the fruit tree can be observed more clearly, the weather state information at the current acquisition time can be acquired by using the image data standardization module, the data is adjusted according to the image definition, and parameter adjustment data is generated, so that the accuracy of the system is improved. The reliability and the stability of image acquisition are improved, excessive influence of external factors such as weather change is avoided, the reason of the abnormal condition of the fruit tree can be analyzed according to the abnormal condition information of the fruit tree by utilizing the abnormal root analysis module, and the efficiency and the effect of problem solving are improved.

The utility model discloses an insulator pin trimming device which comprises a base, a side edge positioning plate, a limiting head, a positioning rod and a top plate. The side edge positioning plates are connected to the two sides of the base, and scale marks are arranged on the side edge positioning plates. The limiting head is movably connected to the side edge positioning plate and can be fixed to the side edge positioning plate through a fixing piece. The positioning rod is fixedly connected to the base; the top plate is movably connected with the positioning rod; a through hole is formed in the middle of the top rod; the two sides of the top plate are detachably connected with the limiting heads. Through the design, the insulator pin exposed out of the top of the top plate is a part needing to be trimmed, and the exposed insulator pin is cut off through a cutting knife or scissors. And meanwhile, the positioning rod can prevent the top plate from inclining, so that the insulator pins trimmed by adopting the structure are relatively high in consistency.

The present invention relates to the field of intelligent parking scheduling, and in particular to a big data analysis method and system for intelligent parking. The method comprises the following steps: obtaining all parking lot information in the city based on a parking management platform and marking parking lot nodes; visualizing the three-dimensional distribution of parking lot nodes based on all parking lot information in the city, and constructing a three-dimensional distribution visualization network of parking lots; obtaining urban road traffic flow data based on multi-source sensors; performing real-time vehicle dynamic movement analysis on urban road traffic flow data, and performing multi-time point distribution evolution to construct a digital urban traffic trajectory portrait; obtaining historical urban parking operation logs; performing parking demand trend evolution on historical urban parking operation logs, and then performing dynamic parking demand prediction for future time periods, thereby obtaining dynamic parking demand prediction data. The present invention realizes efficient and high-utilization urban parking scheduling.

The invention discloses an object modeling method based on computing network resources, and relates to the technical field of computers. The object modeling method based on the computing network resources comprises the following steps that S1, resource demand analysis is carried out, wherein the demand of a modeling task for computing and network resources is analyzed; s2, dynamically allocating resources: dynamically allocating calculation and network resources according to a demand analysis result; s3, performing modeling process optimization: performing optimization on the modeling process by applying an optimization algorithm to improve the modeling efficiency and precision; and S4, constructing a unified modeling framework: constructing a universal modeling framework, and realizing object modeling of different fields and different complexities. According to the object modeling method based on the computing network resources, the understanding and design capability of the system is improved, resource allocation and utilization are optimized, the expandability and flexibility of the system are improved, management and maintenance are simplified, and the safety and reliability of the system are enhanced.

The present invention discloses a system for controlling and coordinating the unorganized emission of waste gas from a delayed coking coke storage tank. The fully enclosed system of the coke storage tank wraps the coke storage tank, sewage treatment tank, top coke grabbing crane, open-air trestle of the crane, automobile transportation channel and loading hopper in the delayed coking process, including a coke storage tank solar film enclosed system, a ventilation system in the shed, and a dust suppression system for grabbing and unloading coke in the shed; the coke storage tank solar film enclosed system is a membrane structure shed; the dust suppression system for grabbing and unloading coke in the shed includes a dust suppression spray cannon, which is used to spray natural plant deodorizing liquid to coke powder in the shed when grabbing and unloading coke; the waste gas collection system includes an exhaust hood, a resistance balancer, an electric air volume regulating valve, and a waste gas collection pipe network; the waste gas treatment system includes a fan, a cooling tower, a demister, and a spray tower. The present invention solves the problem of unorganized emission of waste gas from delayed coking, has good waste gas control effect, covers a wide area, and does not affect the normal progress of the main production process.

The application discloses a material conveying and assembling system, which comprises a material conveying device and a material assembling device. The material conveying device comprises a first track plate and a sliding block. A material conveying mechanism is arranged on the sliding block. The first track plate is provided with a track groove to define the running track of the sliding block. The track groove comprises a synchronization section arranged on the side close to the material assembling device. The synchronization section is an arc concentric with the material assembling device, so that the material on the material conveying mechanism coincides with the mold cavity or the insert track on the forming mold when the sliding block passes through the synchronization section. The synchronization section on the track groove cooperates with the sliding block to make the material on the material conveying mechanism have a longer track coincidence interval with the mold cavity or the insert on the forming mold. The track coincidence time of the material and the mold cavity or the insert is prolonged, the feeding time is better grasped, and the feeding precision and the assembling quality of the material are improved.

This invention belongs to the field of seismic design technology for railway bridges, and relates to a seismic analysis method for railway bridges using a variable friction coefficient friction pendulum bearing for seismic isolation and vibration reduction. This method is used to determine the design displacement D of the variable friction coefficient friction pendulum bearing; specifically, it includes the following steps: establishing an equivalent period T based on the design parameters of the variable friction coefficient friction pendulum bearing. eff The relationship between the coefficient of friction and the variable friction coefficient; based on the bridge design conditions, the relationship between the equivalent period and the acceleration response spectrum value is established, and S(T) is obtained. eff Determine the damping adjustment coefficient η; equivalent damping ratio ξ; establish support displacement and equivalent period T. eff S(T) eff By considering the relationship between η and η, and combining it with Newton's iteration process, the final support displacement D is determined. This invention saves time by using analytical expressions for calculation, avoiding tedious modeling, long computation times, and convergence issues compared to the finite element model nonlinear time history analysis method. This allows for rapid evaluation of the seismic performance of different support parameters and structural configurations during the scheme design, parameter optimization, and preliminary design stages.

The invention provides a fault diagnosis method and system for a power transmission line, and relates to the technical field of power transmission line fault diagnosis. The fault line and the fault type can be quickly and accurately identified. The method comprises the following steps: decomposing and reconstructing an original fault signal by adopting wavelet packet operation to obtain a wavelet packet decomposition tree structure, and calculating wavelet packet energy of sub-band data of a last layer of the decomposition tree structure; constructing a wavelet packet energy characteristic matrix, performing normalization processing on the wavelet packet energy characteristic matrix, performing diversity processing on the normalized data, and dividing the data into a training set sample and a test set sample; performing model training according to the training set sample to obtain a fault line identification model and a fault type identification model; and carrying out power transmission line fault diagnosis based on the test set sample, the fault line identification model and the fault type identification model, and identifying a fault line and a fault type. The fault diagnosis system for the power transmission line is applied to the fault diagnosis method for the power transmission line.

The present invention discloses a micro-enterprise marketing auxiliary method and system based on a large language model, which uses a large language model to improve the efficiency and effectiveness of marketing. The method integrates a vector database, an embedding model and contextual learning technology to achieve real-time understanding of user intentions, personalized responses and the ability to quickly adapt to business changes. The core advantages of this method lie in its accurate user demand analysis, personalized service provision and efficient knowledge retrieval system. By analyzing user behavior and conversation records, the present invention can provide product recommendations and marketing strategies that meet user preferences. In addition, the present invention also has the ability to update real-time speech to ensure the timeliness and accuracy of information; the automated order information extraction technology improves information processing efficiency and reduces the time and cost of manual operations. The present invention not only improves marketing efficiency, but also enhances the interactive experience between users and customer service, providing companies with a competitive advantage in a highly competitive market.

The application discloses a kind of building facility intelligent monitoring method and system based on Internet of Things, and the abnormal mode of facility response is formed by periodic deviation detection and persistence deviation analysis to facility operation data and control instruction response data;Based on the time sequence of abnormal event in turn relationship, the fault cause-effect chain is constructed, and the cause-effect correlation between facilities is extracted to form the correlation matrix of facility;According to the correlation matrix, deploy distributed monitoring nodes, and construct the health degree distribution of facility by linkage collection and coordination analysis;The deterioration rate analysis and spread detection are carried out on health degree, high-risk facility group is identified, and hierarchical monitoring task sequence is generated;The remaining safe operation cycle of high-risk facility is evaluated to determine the warning level parameter;Based on warning level, the sensitivity classification and time-sharing threshold configuration of monitoring node are carried out, and dynamic alarm threshold and monitoring benchmark are generated;Facility state monitoring report is output by fusing monitoring benchmark and health degree distribution, and early warning of fault risk is realized.

The present invention provides a wireless charging device receiver and a wireless charging device detection system; wherein the wireless charging device receiver includes: a digital potentiometer component, an intelligent control component and a wireless receiving component; the intelligent control component is connected to the digital potentiometer component to control the resistance of the digital potentiometer component; the wireless receiving component is used to receive the power signal of the wireless transmitter and convert it into voltage and current output; the digital potentiometer component is connected to the wireless receiving component to receive the voltage and current output of the wireless receiving component. The present invention utilizes the intelligent control component and the digital potentiometer component to dynamically adjust the load power, which is convenient for different test power adjustments.

The utility model discloses a sheet metal punching processing device in the technical field of processing devices, which comprises a mounting rack, a punching unit fixedly mounted on the surface of the mounting rack, a guide head arranged above the mounting rack, and an adjusting unit. According to the device, the two guide grooves are formed in the inner wall of the hollow pipe, and the force application blocks are inserted into the inner walls of the two guide grooves in a sliding mode, so that when the device is used, the surfaces of the two abutting protrusions arranged on the surface of the insertion rod abut against the surfaces of the two abutting wheels rotationally installed on the inner walls of the two force application blocks correspondingly; in the moving process of the two inserting rods, the two abutting protrusions abut against the surfaces of the two abutting wheels correspondingly, and under the action of the two second springs, the two abutting wheels apply extrusion force to the two abutting protrusions, so that the gear groove can be more tightly attached to the surface of the driving gear, and the transmission stability between the gear and the gear groove is guaranteed.

The utility model discloses a wound suture auxiliary ruler in the technical field of medical auxiliary instruments. The wound suture auxiliary ruler comprises a first ruler body and a second ruler body. The first ruler body and the second ruler body are both in a long-strip thin plate shape. The first ruler body and the second ruler body are provided with scale marks. The end parts of the first ruler body and the second ruler body are rotationally hinged to each other, so that the first ruler body and the second ruler body are overlapped or vertical to each other. According to the auxiliary ruler for wound suturing, the first ruler body and the second ruler body rotate relatively to be perpendicular to each other, so that references in different directions are provided through the scale marks on the first ruler body and the second ruler body, and the needle inserting distance and the needle withdrawing distance are convenient to grasp. And when the ruler is not used, the second ruler body can be overturned to be overlapped with the first ruler body, so that the ruler is convenient to store and place.

This invention belongs to the technical field of infant and toddler products. Specifically, it relates to an automatic feeding device, comprising a snap-fit ​​body, an elastic element, and a strainer. The inner side of the snap-fit ​​body engages with one end of the elastic element, and the outer side of the snap-fit ​​body engages with the strainer. The other end of the elastic element extends into the strainer. The strainer has a feeding cavity inside and an overflow hole on its outer wall. This invention has a simple structure and is easy to operate. It automatically pushes and collects feeding food for the baby without requiring mother assistance, thus providing convenience for mothers during feeding. This invention achieves automatic feeding collection without a complex pushing structure, making it easy to clean and reducing the risk of accidental ingestion by the baby. It ensures the safety of the baby while improving the user experience, featuring a simple structure, convenient operation, safe use, and a good user experience.

The high-strength galvanized pressing wrench comprises a high-strength main body, a fixing end is fixedly installed on one side of the upper end of the high-strength main body, a directional adjusting groove is formed in the other side of the upper end of the high-strength main body in advance, and a reinforcing bearing block is fixedly installed at the lower end of the high-strength main body. A rotary association groove is formed in the lower end of the exterior of the reinforcing bearing block, an association bearing block is movably installed in the rotary association groove, a positioning block is fixedly connected to the exterior of the association bearing block, a high-strength handle is fixedly connected to the exterior of the positioning block, and a grip is fixedly installed at the tail end of the high-strength handle. According to the utility model, an existing integrated structure is replaced by a segmental combined assembly type structure, so that the angle between the handle and the main body can be properly adjusted according to specific use conditions, and on the basis of ensuring the overall structural strength, a user can apply force more conveniently.

The invention belongs to the technical field of solid hydrogen storage, and particularly relates to a hydrogen storage container. The hydrogen storage container comprises a pot body and a pot cover which are matched in a sealing mode, and a closed storage space used for storing particle hydrogen storage materials is formed in the pot body and the pot cover. The longitudinal section of the pot body is of an arc-shaped structure, and the arc center is located between the pot body and the pot cover. A hydrogen inlet pipe is hermetically arranged on the pot cover in a penetrating manner; the hydrogen inlet end of the hydrogen inlet pipe is located outside the pot cover, and the hydrogen outlet end of the hydrogen inlet pipe is located in the storage space and faces the inner wall of the pot body. The invention solves the problem of how to improve the maximum effective specific surface area of the hydrogen storage material in the hydrogen storage container in the hydrogen absorption process while avoiding the stress damage to the container, thereby being beneficial to the adsorption of hydrogen.

The invention discloses an energy-saving and environment-friendly purifying tower, which belongs to the technical field of purifying towers, and comprises a tower body, a plurality of first tower plates and a plurality of second tower plates are slidably mounted in the tower body, the first tower plates and the second tower plates are alternately arranged, the first tower plates and the second tower plates face opposite directions, and baffles are arranged on one sides of the first tower plates and the second tower plates. Sleeve rods are fixedly installed on the upper sides of the first tower plate and the second tower plate, extension rods are slidably installed in the sleeve rods, connecting blocks are fixedly installed at the positions, corresponding to the extension rods, of the baffles, vent grooves are formed in the first tower plate and the second tower plate, and one ends of the vent grooves communicate with the interiors of the sleeve rods. According to the present invention, the baffle plate can move under the effect of the adjusting assembly, such that the height of the liquid level can be reasonably adjusted according to the different types of the purified materials so as to avoid the overflow of the foam on the upper layer tower plate due to the too high liquid level, and the low purification efficiency due to the too low liquid level can be avoided.

The invention discloses a time sequence prediction precision improvement method based on a LightGBM algorithm, and the method is characterized in that the method comprises the following steps: 1, processing a missing value before time sequence analysis is started; 2, after data processing is completed, whether a time sequence has a trend and seasonality or not is judged; step 3, if the time sequence is unstable, removing the trend and the seasonality of the sequence by using a difference method, performing ADF test on the result of each step number, and judging the optimal difference step number according to the ADF test statistic and the p value obtained after test; and step 4, after the sequence is stable and then is checked, the invention relates to the technical field of machine learning and time sequence analysis. Compared with a traditional method, the time sequence prediction precision improving method based on the LightGBM algorithm has higher prediction precision and stronger robustness, can cope with various complex and changeable data conditions, and provides a more accurate and reliable prediction result for people.

The invention discloses an internet-based financial data intelligent acquisition, analysis and management system and method, and relates to the technical field of financial data analysis and management, and the system comprises a financial data acquisition module, a financial data analysis module and an enterprise development analysis module. The debt paying ability, the profitability and the cost control ability of the enterprise are analyzed from multiple aspects, then whether financial data of the enterprise is abnormal or not is judged, decisions are made for financial data abnormity of the enterprise in each month, fluctuation coefficients of the debt paying ability, the profitability and the cost control ability of the enterprise are analyzed, and whether the enterprise has development prospects or not is judged accordingly.

A novel standing-assisting chair comprises a chair seat, brake casters and electric push rods, the lower portion of the chair seat is connected with a plurality of chair legs, the bottoms of the chair legs are connected with the brake casters, the upper portion of the chair seat is connected with a chair back, the two sides of the chair back are connected with the push rods, the outer portion of the chair back is connected with a back cushion, the two sides of the chair back are connected with vertical protection plates, the inner sides of the vertical protection plates are connected with the chair seat, and the upper portions of the vertical protection plates are connected with armrests. Control buttons are arranged at the lower parts of the armrests, the chair seat is provided with a reinforcing rod, a mounting plate is arranged in the middle of the reinforcing rod, the mounting plate is rotationally connected with an electric push rod through a lower shaft rod, the electric push rod is provided with an output rod, the output rod is provided with a connecting plate, a through hole is formed in the middle of the chair seat, and the electric push rod is matched with the through hole and penetrates through the through hole. The standing assisting device is comfortable to lean, convenient to move and suitable for being used in various indoor or outdoor environments, pushing assistance is provided for standing of old people by additionally arranging a standing assisting structure, the gravity center of the old people inclines forwards, and standing is convenient.

The present invention discloses an intelligent nursing management system and method for critically ill patients, which relates to the field of medical health monitoring technology, including setting up multiple physiological signal acquisition channels, synchronously acquiring multi-dimensional physiological signals of patients, and preprocessing the acquired signals to form a standardized multimodal physiological data stream; inputting the preprocessed multimodal physiological data into a deep learning model based on LSTM and multi-head attention mechanism, combining with a dynamic weight adaptive algorithm, to realize intelligent fusion analysis of different physiological signals, and establish an individualized physiological system coupling model for patients; based on the analysis results of the deep learning model, the patient's condition risk assessment value is calculated in real time, and a specific warning level is output according to the set multi-level warning threshold. The present invention realizes all-round monitoring and early warning of the patient's condition by constructing a multi-level and multi-dimensional warning threshold system. It can significantly improve the quality of monitoring of critically ill patients and reduce the rate of missed judgment and misjudgment.

The utility model discloses a half axle sleeve positioning device relates to part processing technical field, and the utility model discloses a bottom plate, the top surface fixed mounting of bottom plate has positioning assembly and a plurality of limiting mechanisms, the positioning assembly is located between a plurality of limiting mechanisms, the positioning assembly includes first locating block, fixed ring and support pole, the top surface of bottom plate is opened with recess, first locating block and fixed ring all fixed mounting are in recess's inside, and fixed ring is located in first locating block's inside, can be positioned to half axle pipeline through positioning assembly, through using relatively arranged and all being conical first locating block and second locating block that set up, can be radial positioning to half axle sleeve, reduce its error that appears, through the screw rod of limiting mechanism drive extruding block and fixed block cooperation transmission, can reach the effect that the speed is reduced and the range is increased, thereby the precision of half axle sleeve is better grasped, and the positioning precision is improved.

The application discloses a coal type sales planning and sales time collaborative control method and system based on a coal enterprise, and relates to the technical field of coal sales management.The application integrates multi-source data through a data fusion algorithm and other technical means, solves the problems of data dispersion and different formats, provides high-quality data support for subsequent analysis, accurately predicts sales trends and price fluctuations by using a long short-term memory neural network and a regression analysis model, helps enterprises optimize sales strategies, reduces inventory backlog risks, dynamically adjusts sales tasks by means of linear programming and reinforcement learning algorithms in combination with real-time data, improves market response speed and sales efficiency, and effectively improves the scientific nature and flexibility of coal enterprise sales management and enhances market competitiveness.

The invention discloses a sintering end point prediction method based on big data. The method comprises the following steps: collecting historical data in a sintering process; cleaning and preprocessing the collected historical data; effective features are extracted from the preprocessed historical data, and an input variable with the most predictive capacity is determined through a feature selection method; training a sintering end point prediction model based on the extracted features by using a support vector machine (SVM) algorithm; and carrying out sintering end point prediction based on the trained prediction model. According to the method, the sintering process parameters are comprehensively analyzed through a big data technology and a machine learning algorithm, so that accurate prediction of the sintering end point is realized, and the prediction accuracy and reliability are greatly improved.

The invention provides an online monitoring data acquisition and analysis system for key parameters of a planetary rolling mill, which can display key technical parameter information in the operation process of rolling equipment in real time and can be analyzed for decision-making analysis, which includes a rolling mill lubrication system, a rolling mill cooling system, an inert gas Protection system, mandrel temperature measurement and cooling water detection system in rolling area, smart meter, data storage module, data transmission module and data analysis and summary module; The key parameters on the equipment are collected in real time, and the collected data is analyzed and processed to form a database, which is convenient for the enterprise to connect to the production situation and grasp the production cost in real time, and provides strong scientific data support for the enterprise's production decision-making.

The application discloses a water-gas dual-phase medium alternate injection electrodeless adjusting flow channel structure, which comprises a flow nozzle opening degree adjusting core shaft, a flow nozzle valve seat and an alloy erosion-resistant flow nozzle. An inner injection channel is arranged on the side wall of the flow nozzle opening degree adjusting core shaft. The flow nozzle valve seat is arranged on the outer circumferential surface of the flow nozzle opening degree adjusting core shaft. The alloy erosion-resistant flow nozzle is fixedly connected to the flow nozzle valve seat. The alloy erosion-resistant flow nozzle is provided with an outer injection channel. The flow nozzle opening degree adjusting core shaft is adapted to rotate relative to the flow nozzle valve seat in the circumferential direction. Along the rotating path of the flow nozzle opening degree adjusting core shaft, one of the inner injection channel and the outer injection channel is provided with a first part and a second part which are respectively adapted to inject gas and water, and the other one is gradually connected to the first part and the second part during relative rotation. During the rotation of the flow nozzle opening degree adjusting core shaft, the first part and the second part are gradually connected, so that the alternate conversion of gas injection and water injection is realized. The alternate conversion of gas injection and water injection can be realized only by the rotation of the flow nozzle opening degree adjusting core shaft, and the efficient, easy-to-grasp and fine-adjustable structure is realized.

The utility model discloses a positioning drilling machine which comprises a base, a supporting column is arranged on the rear side of the upper end of the base, a hydraulic top table is fixed to the upper end of the supporting column, a control cabinet is arranged on the side face of the hydraulic top table, a hydraulic sliding block is installed at the lower end of the hydraulic top table in a sliding mode, and a drill bit is fixed to the lower end of the hydraulic sliding block. An infrared laser is arranged on the outer side of the drill bit, a moving mechanism is arranged at the upper end of the base and used for adjusting the drilling position, and a positioning clamp is fixed to the upper end of the moving mechanism. The infrared laser devices distributed annularly are arranged on the outer side of the drill bit, the drilling position can be accurately positioned, an operator can conveniently grasp the drilling position, the drilling precision is improved, the moving mechanism is arranged at the upper end of the base and matched with the positioning clamp, the position of a workpiece to be drilled can be flexibly adjusted, positioning is stable, and the working efficiency is improved. The flexibility is good.

The invention provides a farmland risk management and control method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a construction drawing corresponding to farmland information based on the farmland information associated with an under-insurance policy; based on the construction drawing, determining first position information of an underwriting boundary of the farmland in a satellite remote sensing map; based on the first position information and the current management and control stage of the farmland, generating a management and control task of the farmland, and allocating the management and control task to the target user; and generating a farmland risk report based on the report model corresponding to the management and control stage and the hidden danger data under the condition that the hidden danger data uploaded by the target user to the management and control task is received. According to the method, the farmland is dynamically monitored and managed in combination with a map, the inspection track and hidden danger risks are visualized, a report is automatically generated, inspection personnel can conveniently and rapidly check hidden dangers in the farmland, and the efficiency of farmland risk management and control is improved.