51results about How to "Solve time-consuming and laborious problems" patented technology

The embodiment of the invention provides a method and device for managing consumption details of a user. The method mainly comprises the following steps: extracting consumption reminding short messages from short messages received by a mobile terminal of the user; extracting consumption detail information from the content of the consumption reminding short messages according to a preset consumption detail extraction rule; and storing the consumption detail information. The method can be used for extracting the consumption detail information from the content of the consumption reminding short messages by using the mobile terminal of the user and the preset consumption detail extraction rule, thereby facilitating the user to conveniently check and manage the inter-bank and inter-bankcard consumption detail information.

The invention discloses a method for manufacturing and displaying a large-scale urban space energy consumption digital map. The method comprises the following steps of: performing data simplification on urban space form three-dimensional data, establishing a pixel corresponding to needed data type, converting the pixel into urban three-dimensional vector information data, and loading into a geographic information system; establishing an urban space energy consumption database, uploading space energy consumption big data immediately; connecting a three-dimensional vector information module with an urban space energy consumption database; importing data and image information from the database, performing data superimposition according to geographical coordinates, and exporting a digital map capable of displaying urban space energy consumption. According to the method, urban space energy consumption data is combined with an urban digital map system in a vector image mode, so that spatial visualization display of urban space energy consumption is realized; by virtue of the digital map, the space energy consumption condition of a whole city can be mastered; based on a cloud data technology of a computer, automatic calculation processing of urban space energy consumption mass data is realized, and time-consuming and labor-consuming manual data processing is avoided.

The invention discloses a script recording method applied to a script recording device, and the method comprises the steps: determining test steps in a test case of a to-be-tested application, and compiling the test case based on a natural language mode; obtaining an interface screenshot, corresponding to the test step, of the to-be-tested application; obtaining a to-be-executed instruction generated based on the test step and the interface screenshot; and executing the to-be-executed instruction to realize recording of the test script related to the test step. According to the script recording method and device, the problems that in the existing script recording process, operation is complex, and time and labor are consumed can be solved, and the script recording efficiency is improved.

Provided is a method of oil well classification and oil reservoir zoning based on SPSS(statistic package for social science). The method of oil well classification and reservoir zoning based on SPSS can solve the technical problems that the traditional correlation research methods are time-consuming and laborious, and the rationality of the subarea is not verified. The method of oil well classification and reservoir zoning comprises the following steps: step one, principal component analysis is carried out; the principal component analysis is to use the Bartlett sphericity test or KMO method to determine whether the factors are suitable for factor analysis; step two, the principal component factor is extracted and determined by using SPSS software; step three: the oil well is classified according to the determined principal component factor; step four: the principal component factor weights are excavated by using SPSS(statistic package for social science) software, and a subarea coefficient model is established to partition the reservoir according to the determined partition coefficients. The method is implemented by SPSS software analysis, a zone coefficient model is established to partition the reservoir according to the determined partition coefficients; the workload of the original 3 or 4 weeks is shortened to 2 or 3 days, which not only improves the work efficiency and operability, but also facilitates the popularization and application of the method, besides, the method of oil well classification is more scientific.

The invention discloses an electric energy substitution scheme prediction method and device based on a Gaussian regression combination prediction model, and the method comprises the steps: receiving prediction targets of different energy substitution schemes of an energy substitution conversion enterprise, and obtaining frequent item sets of various types of targets; building a Gaussian regressioncombined prediction model by adopting a Gaussian regression process; carrying out clustering prediction on the frequent item sets of various targets of different energy substitution schemes, and carrying out linear combination on prediction target values to obtain an annual cost value prediction target value; based on the principle that the annual cost values are equal, obtaining the boundary electricity price of the electric energy substitution scheme, calculating uncertainty estimation of the electric energy substitution scheme, and obtaining a prediction result of the electric energy substitution scheme; and performing data feedback based on the prediction result, comparing the data with actual data received by a related business application platform of the power system, adjusting parameters of the Gaussian regression combination prediction model, and performing electric energy replacement scheme prediction by adopting the Gaussian regression combination prediction model after parameter adjustment.

The invention discloses injection molding equipment for automobile accessories. The injection molding equipment comprises a bottom plate. Four support columns are fixedly connected to the top of the bottom plate through bolts. The tops of the four support columns are fixedly connected with the same top plate through bolts. A packing box is mounted on the top of the top plate. A packing pipe is screwed with the bottom of the packing box through threads. A support plate is welded to the outer walls of one sides of the four support columns. A mold base is fixedly connected to the top of the support plate through bolts. An operation cavity is formed in the mold base. Two fixing blocks are fixedly connected to the inner wall of the operation cavity through bolts. The portion, positioned betweenthe two fixing blocks, of the inner wall of the bottom of the operation cavity is fixedly connected with a sliding rail through bolts. The two fixing blocks are rotationally connected with the same screw rod. The injection molding equipment is convenient to operate and high in practicability and solves the problem of time-consuming and labor-intensive removal of a large number of fixing bolts when cleaning or replacing injection molds for the automobile accessories.

The invention discloses a remote sensing image cultivated land information extraction method based on a convolutional neural network, and the method comprises the following steps: A, data preprocessing: carrying out the processing of remote sensing image data through ENVI5.3 software, including radiometric calibration, ortho-rectification, image fusion, information enhancement and image cutting, and finally obtaining a remote sensing image with high resolution; B, constructing of a remote sensing image library; C, establishing and training of a convolutional neural network model; D, extracting and classifying of remote sensing image information; E, spatial statistical analysis on cultivated land information. According to the invention, landsat8 image data of a certain area is used as a data source, ENVI5.3 software is used for preprocessing the image data, the time-consuming and labor-consuming problem of visual interpretation can be solved, remote sensing image data can be accurately recognized and classified, a feasible technical method is provided for research and application about remote sensing image extraction and classification in the future, the cultivated land management efficiency in China is improved, and agricultural monitoring is more scientific and modernized.

The invention discloses a convenient-to-dismount computer structure for computer teaching. The computer structure comprises a host shell and an interface panel, wherein the interface panel is connected with a display, a keyboard, a mouse and an audio player through cables; a movable hinge is mounted at a joint between the interface panel and the left side of the host shell; an automatic lock is mounted at a joint between the interface panel and the right side of the host shell; a battery is mounted in a machine room at the uppermost end of the host shell; a control room is arranged at the leftside of a machine room in the middle of the host shell; a cooling fan is mounted at the right side of the machine room in the middle of the host shell; a storage module is mounted in a machine room at the bottom end of the host shell; a mainboard, a CD-ROM and a floppy drive are mounted in the control room; the storage module comprises a memory bank, a hard disk, a sound card and a display card;the inner interface of each interface of the interface panel corresponds to a plug groove; a plugin female header is mounted on the surface of an internal box body of the control room; corresponding plugin pin headers are mounted on the mainboard, the CD-ROM and the floppy drive; and both the battery and the cooling fan are fixed in a case through fastening mechanisms. The device is clear in structure, convenient to dismount, easy to mount and suitable for classroom teaching.

The invention discloses a multi-working-condition one-dimensional wave equation solving method based on a neural network, belongs to the field of seismic engineering, and aims to solve the problem that time and labor are consumed when the neural network is used for solving one-dimensional wave equations under different working conditions. The one-dimensional wave equation solving method comprises the following steps: 1, selecting a one-dimensional wave equation as an equation to be solved; 2, determining a solution domain and the number of residues of an input variable; 3, establishing a full connection layer neural network comprising six hidden layers; 4, designing a specific loss function; and 5, performing pre-training and fine training of the neural network. The invention provides the one-dimensional wave equation solving method based on the neural network by taking the wave velocity as input, so that the model can learn the influence of different working conditions on an equation solution, and the interpretability of the solving method is also improved by adding a generic equation and a stress condition on the premise of keeping high solving precision.

The invention discloses a water and soil conservation measure pattern spot automatic extraction method and system based on deep learning. The system comprises a remote sensing image data preprocessing module, a deep learning network model training module, a remote sensing image data pattern spot extraction module and a software module which can be independently executed and can automatically extract water and soil conservation measure pattern spots. The latest deep learning and related technologies are introduced, deep analysis and automatic learning are carried out on semantic information and spatial features of the remote sensing image, a complete processing flow is formed, and the model can achieve intellectualization, precision and automation from original input to extraction result output to the maximum extent. According to the method, the problems that an original method consumes time and labor, is subjectively influenced by people, is not high in automation and the like are solved, meanwhile, high-precision water and soil conservation measure pattern spots can be intelligently extracted, the water and soil conservation measure pattern spot extraction technology is promoted to be intelligently and accurately developed, and technical support is provided for water and soil conservation monitoring and evaluation work.

The invention provides a preparation method and application of a porous g-C3N4 material, and belongs to the field of photocatalysis material preparation. According to the preparation method, dicyandiamide which has wide sources and can be easily obtained is used as raw materials; urea is used as a template; a microwave heating method is used for preparing a porous graphite phase g-C3N4 material. The prepared porous graphite phase g-C3N4 material has high stability, and can be applied to the field of photocatalysis; the water photocatalysis hydrogen production is efficiently performed; meanwhile, organic contaminants can be effectively degraded through photocatalysis. The problems of time waste and labor waste of a conventional high-temperature heating method are solved. The preparation efficiency is improved; meanwhile, few types of raw materials are required, the price is low, the production cost is reduced, and the method is applicable to industrial large-scale production.

The invention provides an obtaining method of an image variant artistic distortion figure. The method includes the following steps that A, the size of the image variant distortion figure is initialized; B, the coordinate of any point on the image variant distortion figure is represented through a polar coordinate system with a cylinder or a conical center being a circle center, the corresponding relation of the coordinate of any point and an image coordinate system of the image variant distortion figure is determined, and meanwhile the relation between the coordinate of any point and original input image pixel point coordinates is established; C, pixel values of original input image points are assigned to relevant pixel points of the image variant distortion figure. According to the method, by means of the space coordinate conversion relation, the corresponding relation between pixel coordinate points of the distortion figure and an original image (an image displayed through a reflector) is obtained, pixel points of the original input image are assigned to corresponding distortion figure pixels, and therefore the distortion figure is obtained. By means of the method, participation of users is little, and the image variant distortion figure with a good visual effect can be obtained.

The invention provides a method and device for separating earthworms by electric stimulation. The device comprises at least two layers of earthworm bioreactors stacked up and down, each earthworm bioreactor includes a reactor box with an upper opening, the reactor box is provided with a grid box bottom, conductive electrode sheets are arranged on two sides of the reactor box, the conductive electrode sheets of the top reactor box are connected with the output end of a power supply, and the bottom of the upper conductive electrode sheets is connected with the conductive electrode sheets of thecorresponding sides in the lower reactor box. The earthworm biological reactor suitable for electrically stimulating the earthworms, simple in material source and easy to make is adopted, large-scaledisposal operation of earthworm treatment of organic waste can be carried out, and combining with the simplicity of biological characteristics, industrial operation and operation of the earthworms, the device has the advantages of reasonable structure, simplicity and practicality and the like.

The invention discloses an establishing method of a model for rapidly evaluating the grade of frozen minced fillet. The method comprises the following three steps of (a) collecting near-infrared spectrum data of the frozen minced fillet with a known grade; (b) establishing a near-infrared spectrum prediction model for evaluating the grade of the frozen minced fillet; (c) externally verifying the mode. By utilizing the establishing method, the established model is good in prediction effect, namely the comprehensive accurate rate is 95.03%; the detection time can be substantially shortened, namely the complete detection is finished within 5 minutes one time; the operation difficulty can be reduced, namely the detection can be finished by only collecting near-infrared spectrum data of a sample and invoking the model.

The invention relates to a measuring method for water content in construction sand. The method includes the steps that a measuring container with a set volume is provided; sand with set weight is added into the measuring container, and the total mass of the measuring container and the added sand at the moment are weighed to obtain mass m1; the measuring container is filled with water, and the total mass of the measuring container, the sand and the filled water is weighed to obtain mass m2; the mass of the filled water is calculated to obtain mass mjw; the water content in the sand is obtain through a water content calculation formula. The water content in the sand can be obtained through two-time weighing, and the implement method is easy, saves measuring time, energy and cost, improves measurement efficiency and provides large benefits for a construction site. Compared with a drying method, time needed for measuring is greatly shortened, and the water content of the sand can be obtained fast.

The invention discloses a soil organic carbon content continuous depth distribution extraction method based on an imaging spectrum, and relates to the technical field of soil measurement. By processing soil complete section samples and section strip samples in sampling points of a target area, the range of the organic carbon content of the soil, line average spectral data of complete section sample imaging and spectral data of section strip sample soil are obtained, a soil organic carbon content prediction model is obtained, a continuous depth distribution curve of the organic carbon content in the soil sample is further extracted, and the distribution of the organic carbon content of the soil is further obtained. According to the technical scheme of the invention, the conversion from the soil point reflection spectrum to the planar image spectrum is realized, the defects caused by a large sampling depth interval are avoided, high-space and high-spectral-resolution soil profile refined data are provided, technical support is provided for obtaining the continuous depth change characteristics of soil organic carbon in the vertical direction, and the data acquisition capability is greatly improved.

The invention discloses a shoe brushing machine capable of automatic brushing and spin-drying, and belongs to the technical field of washing machinery of household appliances, and the shoe brushing machine is used for automatic brushing and spin-drying of sneakers. According to the technical solution, a support frame is fixed to the upper side of a base; a rotary disk is mounted on the upper top surface of the support frame, and a spin-drying motor is installed in the support frame under the rotary disk; a motor shaft of the spin-drying motor is connected vertically to the center of the rotarydisc; the upper surface of the rotating disk is provided with a spring clamp for clamping sneakers; the rear end face of a base shell is provided with two telescopic rod sliding grooves in a horizontal direction; the lower ends of the two telescopic rods are embedded in the two telescopic rod sliding grooves, while the upper ends of the two telescopic rods are connected to one ends of two shoe brushes, respectively; and the two shoe brushes are horizontally placed at both sides of the upper side of the rotary disk. The shoe brushing machine provided by the invention is the initiative of automatic shoe brushing machines, has the advantages of being simple in structure, convenient and practical, perfect in size, low in price and safe and easy to operate, thereby saving time and improving efficiency for office workers and offering great convenience for modern life.

The invention relates to a parking lot operation management-oriented parking lock system and a management method thereof. The parking lock system comprises a management end, parking lock units and user ends, wherein the management end performs cluster distribution on all the parking lock units based on area division of a parking lot; after an unlocking request of one user end is obtained, the management end dispatches the parking units and releases an unlocking instruction; one parking lock unit obtains the unlocking instruction of the management end and then matches the unlocking instruction with the user end corresponding to the instruction, and a vehicle corresponding to the successfully matched user end is unlocked; and the management end carries out timing until the vehicle is driven out, and then the parking lock unit is locked. According to the invention, various problems encountered in operation management of parking locks are effectively solved, intelligent management is achieved, property supervision is facilitated, the labor amount of workers is reduced, and the working efficiency of equipment is improved.

The embodiment of the invention discloses a terminal entry selection method, device, storage medium and terminal. The method comprises the steps that when content currently displayed by a terminal touch screen is a display entry, a first selection operation of the first display entry of a user is received, and the first display entry is marked to be in a selected state; a to-be-selected second display entry is determined according to a preset determining mode based on the first display entry; the second display entry is arranged and displayed in turn after the first display entry; a second selection operation of the second display entry and / or other display entries of the user is received, and the second display entry and / or other display entries are marked in a selected state. The terminal entry selection method, device, storage medium and terminal have the advantages that the efficiency of display entry selection is improved, and the problem in the prior art is solved that when display entries are more, the user needs to select a required display entry by turning a page or moving the page up and down, thereby being time-consuming and laborious.

The invention discloses a regular box-entering device for cigarettes contained in mouth. The device comprises a working platform. A material storage mechanism, a material receiving mechanism and a material pushing mechanism are arranged on the working platform; a central supporting plate and a material receiving supporting plate are also arranged on the working platform; the material storage mechanism comprises a central rotary shaft, and a material storage ring rotary shaft sleeves outside the central rotary shaft; the material receiving mechanism comprises a material receiving ring cover sleeving outside the material storage ring; the material receiving supporting plate is arranged on the left side of the material receiving cover; the central supporting plate is arranged on the left side of the material receiving supporting plate, and the material pushing mechanism comprises a material pushing tablet arranged on the left side of a swing type blade. The device disclosed by the invention has the beneficial effects that by means of combined work of the parts, the cigarettes contained in mouth can be regularly boxed; small bags of the cigarettes contained in mouth are arranged in a small box of the cigarettes contained in mouth, so that time consumption and labor waste caused by manual box arrangement are avoided, the labor intensity is reduced and the production cost is lowered.

The disclosure provides a penetration testing method, equipment, and storage medium, which relate to the field of information security technology, can solve the time-consuming and laborious problem of the existing penetration testing, realize the automation of the penetration testing, and improve the quality of the penetration testing. The specific technical solution is: obtain the address information of the target system and the feature information of the target system; select the corresponding function module from the function module library according to the feature information of the target system, and the function module library includes a plurality of different function modules; The functional modules form the target attack chain of the target system according to the preset rules; according to the address information of the target system and the target attack chain, the penetration test is performed on the target system. The present invention is used for penetration testing.

The invention relates to a method for solving one-dimensional wave equations under different working conditions based on a neural network. The invention belongs to the field of earthquake engineering. One-dimensional wave equation solution method: 1. Select the 1-dimensional wave equation as the equation to be solved; 2. Determine the solution domain of input variables and the number of residual points; 3. Establish a fully connected layer neural network including 6 hidden layers; 4. Design a specific loss function; 5. Pre-training and refined training of the neural network. The present invention takes the wave velocity as an input, and proposes a neural network-based one-dimensional wave equation solution method, so that the model can learn the influence of different working conditions on the equation solution. On the premise of maintaining high solution accuracy, the general equation and stress condition The addition of also increases the interpretability of the solution method.

The invention discloses a coin separator, which comprises a hollow machine body 13, an upper cover 9, a money feeding table 8, a circular rotating disk 5, a separating disk 4, a flange 11 and a motor 12, a first drum 2, a second Drum, third drum, fourth drum, first light-sensing counting device 1, second light-sensing counting device, third light-sensing counting device, fourth light-sensing counting device, total amount counting device, first display , second display, third display, fourth display and total amount display. The invention has the characteristics of small size, low cost and convenient operation, and is suitable for supermarkets, individual merchants, bus companies, banks and other fields. It is mainly aimed at self-employed individuals with a large number of coins in circulation. The low cost is conducive to the acceptance of merchants, thereby promoting purchases. Small size, easy to place and save space. Simple operation, easy for users to operate. The coin separator effectively solves the time-consuming and laborious manual separation, saves labor costs and improves labor productivity.

The invention relates to a metal rod body curling device and a working method thereof. The metal rod body curling device comprises a rotating rod, a clamping piece and a pressing rod. The rotating rod is used for containing a metal rod body. The clamping piece is used for fixing the end portion of the metal rod body. The pressing rod is arranged on one side of the rotating rod and provided with a threaded structure. By means of the cooperation effect of the components, a curling structure can be formed on the rotating rod, the curling structure can form a spiral curling structure through the threaded structure while the curling structure is formed, the working efficiency is improved, and the problem that time is consumed and labor is wasted when manual curling is conducted is solved.

The invention provides an integrated camellia oleifera making machine. The integrated camellia oleifera making machine comprises a base plate, wherein an air cylinder, a knocking device, a processingpot and a feeding pipe are arranged on the base plate; the telescopic end of the air cylinder is connected with the knocking device; the knocking device comprises an impact column, a knocking cylinder, a feeding funnel and a first discharging valve; one end of the impact column is connected with the telescopic end of the air cylinder; the other end of the impact column is slidably inserted into the inner side of the knocking cylinder from the end part of one end of the knocking cylinder; the knocking cylinder is arranged on a mounting frame; the other end of the knocking cylinder is closed; the feeding funnel is arranged on the cylinder body of the knocking cylinder; the bottom part of the knocking cylinder communicates with the first discharging valve; the feeding pipe is arranged in theprocessing pot; the discharging end of the feeding pipe is located at the lower end in the processing pot; and the feeding end of the feeding pipe is located outside the processing pot and communicates with a water pump and the air pump through a three-way valve. According to the invention, through arrangement of the knocking device, a camellia oleifera raw material is put into the knocking cylinder through the feeding funnel, and the output arm of the air cylinder is used for driving the impact column to reciprocate to move to impact the raw material in the knocking cylinder, so the problem of time consumption due to manual impact is solved.