118results about How to "Easy to learn and use" patented technology

The invention relates to a fireman individual-soldier system on the basis of a wireless Mesh network framework. The system consists of a wireless monitoring mainframe, a plurality of wireless individual-soldier sub-machines and a plurality of wireless repeaters, wherein the wireless monitoring mainframe consists of a monitoring module and a wireless center node module; and each wireless individual-soldier sub-machine consists of a central processing unit module, a positioning module, a vital sign detection module, a distress call module, an environment condition detection module, a carried equipment detection module and a wireless terminal node module. When the fireman individual-soldier system is applied particularly, firemen wear the wireless individual-soldier sub-machines to enter a fire site or other accident sites and a chief officer monitors information such as postures, motion tracks, vital signs, environment conditions, carried equipment conditions and the like through the wireless monitoring mainframe, so that the intelligence support of a command decision is provided for the chief officer in time and a scientific basis can also be provided for daily tactical training. By the fireman individual-soldier system, the modernization, automation and intellectualization levels of a fire command are improved and the battle damage rate of the firemen can also be effectively reduced.

The invention provides a micro-grid power supply capacity optimization configuration method. An island micro-grid is taken as a research object, the influences of the charge and discharge depth and frequency of a lead acid battery on life are analyzed, the influence of the energy storage life of the lead acid battery on micro-grid power supply capacity optimization configuration and the influence of wind curtailment punitive cost, reliability constraints and the like on the micro-grid power supply capacity optimization configuration are taken into consideration, an established model is more comprehensive, and a micro-grid power supply capacity optimal configuration scheme obtained through solving the established micro-grid power supply capacity optimal configuration model by use of a genetic algorithm of linearity weight can help to improve utilization rate of power supply capacity configuration of a micro-grid system, reduce power supply configuration waste and decrease investment cost and operation cost of the micro-grid system; and at the same time, the operation process of the micro-grid power supply capacity optimization configuration method is quite simple, the versatility is quite good, and the method can be widely applied to micro-grid power supply configuration planning on different application occasions and has quite good market popularization and application values.

The invention discloses an economic optimization operation method for a combined heat and power generation type microgrid. According to the method, the influences in multiple aspects of electrothermal characteristics of a heat pump apparatus in a combined heat and power generation type microgrid system, charge / discharge life loss expenses of an energy storage apparatus, wind curtailment loss, startup and fuel expenses of a combined heat and power generation unit and the like are researched; the influences are converted into expense costs to be added into a target function; an optimal economic operation model of the microgrid is established and solved by adopting a particle swarm algorithm; related constraint conditions are made in the solving process to perform particle swarm constraint adjustment so as to improve the solving efficiency; and an optimal economic operation scheme of the combined heat and power generation type microgrid is obtained, and the heat-electricity performance of the combined heat and power generation type microgrid in a scheduling cycle is controlled according to the optimal economic operation scheme, so that the situations of excessive generated energy and waste of power and energy resources in the microgrid system are reduced, and the operation cost of the microgrid system is assistantly reduced under the condition of meeting power supply load demands.

An attachment to or a keyboard itself or other devices which require extending the fingers and hands so as to reach keys of the device. The invention includes at least one key pillow. The key pillow either replaces or fits over at least one key of a keyboard or other such device to advantageously alter the consistency, texture, shape, or height of the traditional key to which the key pillow corresponds. The key pillow is shaped so as to extend into the comfort zone of a user to thereby minimize the stretching and twisting required of the user's fingers, hands, wrists, and arms. The key pillow may be applied to a keyboard of a portable computer, where the at least one key pillow is inflatable. The at least one key pillow may also be applied to devices such as a computer mouse. The key pillow must extend into a comfort zone of the user. Also, a palm rest is designed so as to maintain the user's hands at a certain height above the lip of the keyboard, which may or may not include key pillows. The palm rests have a height which reduces the introduction of tension into the user's arms and upper body and thus, are suitable for reducing the occurrence of carpal tunnel syndrome and other RSIs. The palm rest may be formed in combination with the keyboard or totally separate therefrom.

The disclosed method comprises: 1) defining the whole texture direction as the horizontal and vertical frame line in target area by some user texture frame; 2) pre-treating the frame line, constructing the horizontal and vertical texture middle mesh, and uniting all the middle meshes to generate mesh texture; 3) taking interactive regulation to reflect the texture variation led by rumple and torsion on clothes surface; 4) calculating the texture coordinate of every pixel in target area for texture mapping. This invention avoids modeling, needs small calculation and storage quantity, and has well use value.

The invention relates to a hierarchical data and graph data visualization technology based knowledge forest layout method. The hierarchical data and graph data visualization technology based knowledge forest layout method comprises the steps of firstly obtaining data of an instantiated knowledge theme faceted tree and data of knowledge fragments, and realizing drawing of the instantiated knowledge theme faceted tree through a Bezier curve instantiation based knowledge theme faceted tree drawing algorithm by utilizing the data; abstracting the drawn instantiated knowledge theme faceted tree into a node v, abstracting a cognitive relation between knowledge themes into a side e, abstracting a knowledge forest into a graph G (V, E), wherein G represents the knowledge forest, V represents a collection of v, and E represents a collection of e; and realizing integral layout of the knowledge forest G and displaying a community structure, and finishing the hierarchical data and graph data visualization technology based knowledge forest layout. By combining with the hierarchical data and graph data visualization technology, the hierarchical data and graph data visualization technology based knowledge forest layout method realizes layout of the instantiated knowledge theme faceted tree and layout of the knowledge forest, and supports visualization of the knowledge theme faceted tree and the cognitive relation.

The embodiment of the invention discloses an active power distribution network hybrid energy storage capacity optimal configuration method and device for solving the technical problem that the influence caused by energy storage service life loss to capacity optimal configuration is not counted according to an existing hybrid energy storage system. The method comprises the steps that for overcoming the defects of an existing active power distribution network hybrid energy storage capacity configuration method, the influence caused by service life loss and optimal operation to energy storage capacity configuration is considered, and an active power distribution network hybrid energy storage capacity optimal configuration model based on discrete fourier transform is put forward. According to the method, the hybrid energy storage system power is distributed based on discrete fourier transform, a rain-flow method is adopted for calculating the energy type energy storage service life loss, meanwhile, the time-of-use electricity price and electricity price transaction difference under the market environment is considered, power distribution network and superior power grid electric energy transactions are counted, the hybrid energy storage system charging and discharging states are optimized, and planning-operation coordination optimization is achieved.

The invention provides an English word random generator with the memory assisting function. The English word random generator comprises a transparent shell. An upper wheel disc cavity and a lower drive cavity are formed in the shell. A wheel disc mechanism is arranged in the upper wheel disc cavity. A drive mechanism for driving the wheel disc mechanism to rotate is arranged in the lower drive cavity. According to the device for assisting students in memorizing English words, the students can set recently-learned words in the device, then the words are randomly displayed for self checking in a random generation mode, the defect that in a traditional mode, help of other schoolmates is needed is overcome, time is saved for the students, and learning efficiency is improved.

The invention discloses an isolated micro-grid optimum economic operation method taking energy storage life loss into consideration. Through research on influences of the charge and discharge process of a lead acid battery on life and conversion into economic cost to be added to a target function, a micro-grid optimal economic operation model taking the energy storage life loss into consideration is established, the model is solved by use of a strategy of combining an adjusting strategy and a particle swarm algorithm, an isolated micro-grid optimum economic operation scheme is determined, and output of a micro gas turbine and charge and discharge power of the lead acid battery at each stage in a scheduling period of an isolated micro-rid system are controlled according to the optimum economic operation scheme, such that the micro-rid system can be prevented from excessive power generation, and the operation cost of the micro-rid system can be decreased under the condition that power supply load demands are satisfied; and at the same time, the operation process of the isolated micro-grid optimum economic operation method is quite simple, the versatility is quite good, and the isolated micro-grid optimum economic operation method can be widely applied to planning the micro-grid economic operation scheme on different application occasions.

The present invention discloses a community micro-grid energy storage capacity optimization and configuration method considering a temperature control device. The method comprises a first step of collecting statistics about an annual load of a community level micro-grid, air speed data, environment and temperature data and parameters of all micro power supplies, and calculating an output power of a wind turbine; a second step of making a running policy of a community level single micro-grid to increase new energy consumption; a third step of establishing, based on the running policy, a community level micro-grid energy storage capacity optimization and configuration model including the temperature control device; and a fourth step of according to the data of the first step, using a genetic algorithm to resolve the optimization and configuration model. The method has the beneficial effects that the established model is more comprehensive, the considered factors are more consistent with demands of the actual micro-grid plane including the temperature control device, the algorithm is simple and can be learned and used by engineering staff easily, and the method is universal and can be widely used in temperature control device included micro-grid energy storage device capacity plane and analysis.

The invention relates to a blood flow speed calculation method for the coronary artery based on a radiography image. The method comprises the following steps that a coronary artery radiography image sequence is acquired; each frame of the acquired coronary artery radiography image is divided and subjected to binaryzation, and a coronary artery tree is extracted; target blood vessel center lines are extracted from the coronary artery tree; according to the change condition of the lengths of the target blood vessel center lines of different frames, the average blood flow speed of a target bloodvessel in the filling stage is calculated through fitting.

The invention discloses an auxiliary method and system for building blocks by children. The method comprises: S1, constructing an image recognition neural network model, employing a convolutional neural network (CNN) by a deep learning model to construct a series-parallel combined convolutional neural network; S2, carrying out training by using a step of building a finished building block productby a neural network model to obtain a training model for assistance of building a finished building block product, and outputting the model and a corresponding classification tag after training completion; and S3, shooting a building block photo, inputting the trained model, carrying out operation based on a learning result by the model, and outputting a tag being the follow-up operation on the building block. According to the invention, the neural-network-based graphical feature model training system with the high performance requirement is separated from an image identification device with the low performance requirement, so that the identification device has advantages of light weight, simpleness, good learning performance, low cost, and high mobility and the like at the user level.

The invention discloses an off-grid type microgrid reliability evaluation method considering ordered charge and discharge of electric vehicles. The off-grid type microgrid reliability evaluation method comprises the steps of: S1, constructing an off-grid type microgrid containing ordered charge and discharge of the electric vehicles; S2, detecting transition conditions of all element states in a microgrid during the total simulation time to obtain a microgrid system state transition process; S3, performing optimization processing on an electrical load optimization model according to the microgrid system state transition condition in the Day-th day, solving the optimized electrical load optimization model, recording microgrid system state transition data in the Day-th day, and updating element states of the microgrid system in the next day; S4, and judging whether the total simulation time is reached, and if so, outputting a reliability index, otherwise, returning to the step S3. The off-grid type microgrid reliability evaluation method has the beneficial effect that the model is solved by calling GUROBI, is convenient for engineering personnel to learn and use, has good universality and can be widely applied.

The invention discloses a short-period combined load prediction method which comprises the following steps: predicting a load by using at least two different single model prediction methods according to initial load data of a power grid to obtain different load data prediction results; weighting and summing the prediction results obtained by using the prediction methods to obtain a combined prediction result; determining optimal weights obtained by using the prediction methods by adopting a genetic algorithm, so as to obtain the weight with smallest error sum of squares as a solution, and finally weighting and summing predicting values of the prediction methods according to a weight coefficient of the solution to obtain a load prediction result. According to the method, the defects of high dependency of a conventional combined prediction model on an initial value, non convergence and the like are overcome, the prediction accuracy is high, the algorithm is simple, and the universality is relatively good.

The invention relates to chopsticks with a fork, chopsticks with a spoon and chopsticks with the fork and the spoon. According to the chopsticks with the fork, the chopsticks with the spoon and the chopsticks with the fork and the spoon, two chopstick rods of each chopstick part are connected with each elastic part, chopstick tails of the chopstick part can be opened and closed like ordinary chopsticks, clamp small foods like rice grains and foods larger than duck eggs, and clamp foods like tweezers. The chopsticks with the fork, the chopsticks with the spoon and the chopsticks with the fork and the spoon integrate advantages of forks, spoons and chopsticks in China and the west, have functions of the forks and the chopsticks, or have functions of the spoons and the chopsticks, or have functions of the forks, the spoons and the chopsticks, are considered as multifunctional tableware, are suitable for being used by Chinese and westerners, serve as general tableware in China and the west, bring convenience for the westerners to learn how to use the chopsticks, and help children to practice the chopsticks. The chopsticks with the fork, the chopsticks with the spoon and the chopsticks with the fork and the spoon are provided with detachable chopstick tails, so that disposable chopsticks can be replaced for each meal in public catering places. Therefore, the chopsticks with the fork, the chopsticks with the spoon and the chopsticks with the fork and the spoon are sanitary and environmentally friendly.

Disclosed is a three-dimensional modeling graphic processing method. The three-dimensional modeling graphic processing method includes firstly, creating an editing panel and setting functional buttons in the editing panel; secondly, acquiring selected graph information in real time, wherein if a graph is selected by clicking, the editing panel is displayed in a drawing window; if the graph is not selected, the editing panel is hidden in the drawing window. All the functional buttons for completing all actions are set in the hidden editing panel; after a user selects the graph, the hidden editing panel is displayed, and at the moment, the user can perform three-dimensional modeling operation on the selected graph only through a left or right left mouse button. The three-dimensional modeling graphic processing method has the advantages that three-dimensional modeling operation can be completed only by clicking of single button without assistance of a keyboard and clicking of the other mouse button, and accordingly teenagers, especially children can learn to use three-dimensional modeling software conveniently, and three-dimensional modeling on portable mobile equipment through touch operation is also facilitated.

The invention discloses a touch reading method based on an intelligent device and a system. The touch reading method comprises steps of converting a book into a touch reading electronic book, uploading the electronic book to a touch reading book storage server, and downloading the needed touch reading electronic book from the touch reading book storage server through operating a touch reading application module on the intelligent device. The system comprises a touch reading book manufacture module which is used for converting a local book into a touch reading electronic book, a touch reading book storage server which is used for storing the touch reading electronic book made by the touch reading book manufacture module and providing a downloading service to a touch reading application module, and a touch reading application module which runs on the intelligent device and is used for downloading the needed touch reading electronic book from the touch reading book storage server to finish the touch reading function. The invention realizes all functions of the traditional touch reading machine by utilizing the touchable intelligent device, and the parent is unnecessary to by the learning machine. The touch reading method based on intelligent device and system are high in efficiency, high in expansion and high in accuracy and compatible with the resolution of all devices, which provides convenience to the study.

The invention discloses a simple and quick detection method for residual quinclorac in soil. The method comprises the steps of: acquiring to-be-detected soil before crop rotation; and carrying out pot culturing on indicative plants, namely nightshade, alatum moench or photeinocarpum nakamura, which is sensitive to quinclorac by in the soil, and detecting and judging the safety of residual quinclorac soils on potatoes cultured in the following season. Compared with the conventional instrumental analysis and detection method, the simple and quick detection method for the residual quinclorac in the soil has the characteristics of simplicity, convenience, low cost and strong operability, is conveniently learned, handled and used by users and is suitable for carrying out determining and evaluation on the safety of the soil before the crop rotation of large-area rice and vegetables, professional staff and expensive instruments and equipment are not required, the popularization and the application are liable, and the effective basis is provided for field management of safety production.

The invention belongs to the technical field of electric power system planning, and particularly relates to a direct current transmission based wind power and thermal power binding power generation and transmission system optimization planning method. The method takes the compensation capacity of a thermal generator set, the capacity of a DC power transmission system and the like as constraint conditions, takes the minimum unit power generation cost of the whole binding system as an objective function, and solves by adopting a simulated annealing algorithm. The method provided by the invention makes up defects of an existing binding system optimization planning model and algorithm, and factors considered by a built model are more comprehensive, thereby providing solid and effective theoretical guidance for hybrid planning energy base delivery.

The invention relates to a measuring scale, in particular to a live-line diameter measuring scale for an electrical lead. The live-line diameter measuring scale for the electrical lead comprises an insulating plate, a bayonet graduated scale, LED display modules, a battery box, travel control switches and an insulating rod bayonet, the insulating plate is a rectangular plate made of insulating resin material, the upper end of the insulating plate is connected with the bayonet graduated scale, the bayonet graduated scale is provided with a plurality of lead measuring bayonets, each lead measuring bayonet is marked with the corresponding electrical lead type and provided with the LED display module, and the travel control switch is arranged at each of the upper and lower ends of each lead measuring bayonet; the insulating rod bayonet is composed of two steel pipes, and the insulating rod bayonet is connected with the lower end of the insulating plate. The live-line diameter measuring scale for the electrical lead does not need to cut off the power to operate, is capable of realizing live-line measurement and does not influence the electricity supply for the normal life and production of the residents; the live-line diameter measuring scale for the electrical lead combines the LED display with the scales, when the measuring scale is located in the high altitude, the number can be read conveniently; the live-line diameter measuring scale for the electrical lead is suitable for broad popularization.

The invention discloses a semi-automatic paint spraying machine and belongs to the technical field of paint spraying equipment. The semi-automatic paint spraying machine comprises a base plate assembly, a rotating assembly, spraying frame assemblies, spraying gun assemblies, an air supply device and a control box. The base plate assembly comprises a base plate and supporting rods. The rotating assembly comprises a cross-shaped rotating frame, a pneumatic motor, a holding frame assembly, a push assembly and a fixing seat. The spraying frames assemblies are arranged at the upper end of the base plate assembly and used for clamping the spraying gun assemblies. Each spraying gun assembly comprises a spraying gun and a spraying gun air cylinder. The control box comprises a box body, an electro connecting pressure gauge installed in the box body, a first electromagnetic pneumatic valve, a second electromagnetic pneumatic valve, a first time relay and a second time relay. According to the semi-automatic paint spraying machine, through a simple and compact mechanism and low cost, semi-automatic spraying over general parts such as reflecting mirrors is achieved, the labor intensity is lowered, the influence of gunner factors on the product quality is solved, and corporate profitability is improved.

The invention discloses an off-grid micro-grid electric vehicle ordered charging and discharging load modeling method based on optimized operation and a solving method of the off-grid micro-grid electric vehicle ordered charging and discharging load modeling method. An optimized day-ahead scheduling plan is provided for the off-grid microgrid; First of all, an objective function is established, Determining constraints, Correction data, GUROBI optimization software is called in MATLAB through a toolbox Yalmip to solve the MATLAB; the method has the advantages that electric vehicle load modelingis simplified from a complex nonlinear mixed integer programming problem to a linear mixed integer programming problem, the minimum operation cost of the microgrid is taken as the target, and meanwhile the influence of new energy output on the electric vehicle load is considered. The model is solved by calling the GUROBI, so that engineering personnel can learn and use the model conveniently, theuniversality is good, and the model can be widely applied.

The invention relates to the technical field of medical equipment, in particular to an artificial external chest compression machine used for saving a patient through cardio-pulmonary resuscitation. The artificial external chest compression machine comprises a supporting frame and a compression device. The supporting frame comprises an upright column, an outer sleeve and a base. The base is a rectangular plate which is arranged transversely. The upright column is arranged on the upper portion of one end of the base. The outer sleeve is arranged on the outer side of the upright column in a sleeved mode. Two sides of the base are provided with supporting plates respectively, wherein the supporting plates are in hinge joint. Masts are arranged on two sides of each supporting plate. The compression device comprises a lower supporting rod, an upper supporting rod, a pressing rod, a fixing sleeve, an anchor peg, a pressing depth limiting ring and a pressing block. The lower supporting rod is located below the upper supporting rod. The upper end of the upper supporting rod is connected with the pressing rod. The upper end of the lower supporting rod is fixedly connected with the fixing sleeve. The anchor peg is inserted in the fixing sleeve. A reset limiting disc and the pressing block are arranged at the lower end of the anchor peg. A spring is arranged between the pressing rod and the lower supporting rod. The artificial external chest compression machine has the advantages of being reasonable and simple in structure, simple and convenient to operate, free from restriction of a power supply in use, and capable of transferring the patient while saving the patient continuously.

The invention belongs to the technical field of power system planning, and particularly relates to a wind-thermal bundled power generation system optimization planning method. The minimum total bundled system cost including the operation cost, the investment and the maintenance cost serves as an objective function, the minimum startup and shutdown and the maximum output and the minimum output of a thermal power unit and the like serve as constraint conditions, a wind-thermal bundled power generation system optimization planning model including a system operation behavior is built, and the model is solved by adopting algorithms such as dynamic planning and a tree drop technique. On the basis of simulating the operation behavior of the bundled system and in consideration of the operation constraints of the thermal power unit, the operation cost of the thermal power unit can be acquired more accurately, and the wind-thermal capacity planning result in the bundled system is more accurate and more reasonable.

The invention discloses an intelligent online and offline interactive education system and an education method. The system comprises an interactive education cloud server, an account password system is arranged in the interactive education cloud server, the account password system is connected with a campus APP unit, an interactive answering work unit and a cloud classroom unit, a teaching resource unit is connected between the interactive answering work unit and the cloud classroom unit, an audio and video acquisition unit is arranged in the campus APP unit, one side of the interactive answering work unit and one side of the cloud classroom unit are connected with a teacher terminal and a student terminal, and one side of the audio and video acquisition unit is connected with the teacherterminal, the student terminal and a parent terminal. According to the intelligent online and offline interactive education system and the education method in the invention, interconnection of variousterminals such as an electronic whiteboard, a tablet computer and a computer is achieved in the Internet, so that the interaction manner between teachers and students is changed, the interaction frequency during class is improved, the one-to-one teaching treatment of videos can be realized offline, and the teaching quality is improved.

The invention relates to the technical field of new energy power generation, in particular to a wind-solar complementary power plan deviation dynamic compensation energy storage energy management method. The initial charge quantity of the energy storage system designed based on day-ahead wind-solar power generation power dispatching plan deviation compensation is considered from the effective utilization of the capacity of the energy storage system, and the power deviation is fully compensated under the condition that the residual charge state is sufficient to compensate the plan deviation; when the state of charge is insufficient, the compensation limit is properly relaxed within the planned deviation limiting range by combining the load change trend and the new energy grid-connected power generation standard, and the over-charging and over-discharging condition of the energy storage system is avoided; and when the energy storage system is not enough to compensate the power deviation and the deviation is too large, a standby energy storage equipment switching-in mode is adopted. According to the invention, the constraint of the power grid load change factor and the new energy grid-connected power generation admission standard is fully considered, the accuracy requirement of the power dispatching plan is met, the new energy grid-connected power generation capacity is improved, and stable and reliable operation of the power grid is effectively supported.

The invention provides a reliability-based common standby distribution transformer optimal configuration method. The method comprises steps of: taking a system distribution transformer set of an electric power system and a configured common standby distribution transformer as research objects; establishing a reliability Markov model for configuration of the common standby distribution transformer by the system distribution transformer set of the electric power system; based on the reliability Markov model, solving a reliability index for configuration of the common standby distribution transformer by the system distribution transformer set of the electric power system; by considering reliability and economical effects on the electric power system caused by load difference of different distribution transformers in the system distribution transformer set, establishing and solving an expense equation of a common standby distribution transformer optimal configuration model; and carrying out expense comparison by use of an enumeration analysis method, and preferentially determining a common standby distribution transformer optimal configuration scheme of the electric power system. Thus, economical performance of the configuration of the common standby distribution transformer is improved under the premise of ensuring the operation reliability of the electric power system, and comprehensive cost for construction of standby devices of the electric power system is reduced.

The invention provides a control method for smart homes. The control method includes the six steps that a smart host, a terminal mobile phone and a control end mobile phone are arranged; a WeChat APP is installed on the terminal mobile phone; a WeChat APP is installed on the control end mobile phone; an instruction receiving account and a control account are added to each other as friends, and then an instruction is issued to the smart host through WeChat. Through the mobile phone WeChat, controlled electric appliances at home are controlled, carrying, learning and using are convenient, and the control method facilitates independent control operation of multiple persons.

The invention discloses a community-level microgrid economic operation modeling and solving method in consideration of temperature control equipment. Through research on the temperature adjustment features of the temperature control equipment, factors influencing the microgrid economic operation are analyzed, the microgrid with the temperature control equipment serves as a research object, a microgrid optimal economic operation model inconsideration of the temperature adjustment features of the temperature control equipment is built, and the total cost such as operation cost, fuel cost, energy storage loss and wind curtailment punishment cost is considered to be minimum to serve as the target. The model is solved through a hybrid particle swarm optimization algorithm, and factors considered by the built microgrid economic operation model are more thorough, the algorithm is simple and is convenient to be learnt and used by an engineering person, the universality is good, and the method can be widely applied to microgrid economic operation analysis.