38results about How to "Easy to program" patented technology

The invention discloses an energy management method for an isolated network running mode in a micro network based on a load interruption model. In the method, aiming at the isolated network running mode, the requirements of the micro network on maintenance of internal power balance and voltage stabilization are converted into economic indexes, the detailed load interruption model is created, and the power-on time guarantee is obtained through load bidding; and distributed power management is carried out by an energy storage unit model in view of economic and technical features at the same time. With the adoption of the energy management method, the running cycle is divided into a plurality of time periods, the load levels and the distributed power start-stop states of all the time periods are determined based on current prediction at first to guarantee power balance and enough power margin, then the distributed power and the energy storage unit are subjected to output adjustment based on short-term prediction to meet voltage and tidal current constraint. The error between the current prediction and the short-term prediction is removed through two layers of coordinated optimization models. The energy management method is suitable for the isolated network running energy management in a micro network system consisting of various energy storage equipments, loads and power supplies with multiple types and proportions.

The invention relates to a wind turbine generator state parameter abnormity identification method based on combination prediction. The method comprises following steps of selecting proper wind power plant SCADA data to obtain training data and test data; establishing an individual prediction model including a BPNN and an LSSVM of a target parameter, optimizing the combination model and selecting proper weight; using a combination prediction model to predict the target parameter and combining the target parameter with an actual value so as to obtain a residual error; calculating a root mean square error (RMSE) and obtaining change conditions of the RMSE; if the RMSE is smaller than a threshold value, judging that the a state parameter is normal and if the RMSE is larger than the threshold value, using the same residual error data to calculating an entropy value; if the entropy value is smaller than the threshold value, judging that the state parameter is normal, wherein although the RMSE is larger than the threshold value at this moment, the residual data does not change too much, so it is impossible to judge that there is abnormity; and if the entropy value is larger than the threshold value, judging the state parameter is abnormal. According to the invention, programming is easy to achieve; and abnormity identification can be quickly and precisely carried out on wind turbine generator state parameters.

The invention discloses an image content retrieval system which is characterized by comprising 1) a segmentation subsystem, 2) an image area characteristic extraction unit and 3) a calculation and comparison subsystem, wherein the segmentation subsystem is used for respectively segmenting the training image and testing image into n examples and comprises A) an FCM segmentation unit and B) a pyramid segmentation unit, wherein the FCM segmentation unit is used for respectively performing area segmentation on the training image and the testing image by employing a fuzzy C-means and the pyramid segmentation unit is used for performing image segmentation on the training image and the testing image on the basis of a space pyramid matching mechanism by employing a cvPrySegmentation function; the image area characteristic extraction unit is used for extracting the color, texture, CENTRIST characteristics and each type of mean characteristic vectors of each example; and the calculation and comparison subsystem adopts a multi-example learning and diverse density sparse learning method, describes the image contents from the multiple nonlocal form characteristic angles and fulfills the retrieval aim. The method is easily realized through programming, has a certain artificial intelligence and provides algorithmic reference for the image understanding.

The invention discloses a cell characteristic vector based lithium ion cell configuration method, which comprises the following steps of: carrying out one-time 0.2C discharge on cells to be configured, followed by 2C charge and discharge, finally standing for a while, recording the 2C discharge capacity C0.5, the ratio CI of constant voltage capacity to constant current capacity during the 2C charge, the ratio V0 of recovery voltage to discharge lower limit voltage after the final step of standing, and the correlation coefficient rYS of the characteristic vector formed by the 2C constant current charge and 2C constant current discharge voltage values of the cells and the standard characteristic vector, determining an appropriate grading numerical range for grading according to the C0.5, CI, V0 and Rys, and configuring individual cells within the specified range. The method provided by the invention is used to fully present the difference between cells and screen out cells with similar consistency for assembling and usage, thus raising the performance of battery packs.

The invention discloses a method for carrying out parallel transient simulation computing on a microgrid suitable for nodal analysis frameworks. The method comprises the following steps: carrying out modeling on each distributed power supply and each controller model of each distributed power generating unit in the microgrid, and carrying out modeling on a power distribution network, a power electronic device and a filter circuit; reading the basic information, topological connectivity and parameters of each component; determining subsystems of a naturally-decoupled control system and the number of the subsystem; creating (nc + 1) computing threads or process; advancing the previous simulation time a step length: t = t + Delta t; carrying out communication between the computing threads orprocesses; according to the number of a CPU (central processing unit) on a microcomputer and the number of simulation tasks, carrying out simulation task assignment; and judging whether the simulation time reaches an ultimate simulation moment. By using the method disclosed by the invention, the simulation computing speed of a distributed power generating microgrid system can be effectively improved, and the method is simple and the program is easy to implement; and meanwhile, through using various basic links of a control system, the modeling of various complicated nonlinear distributed power supplies and controllers can be realized, therefore, the method has high flexibility.

A fault tree analysis method based on Monte Carlo simulation is characterized in that through a simulation implementation course of a Monte Carlo sampling method in a fault tree, solution of a fault tree structure function or all the minimum cutsets is avoided; a top event occurrence probability existing when bottom event life distribution obeys an arbitrary distribution function can be obtained; and the system top event occurrence probability existing when a system runs to a moment, the bottom event occurrence probability is known and the life distribution is unknown can be obtained. The method provided by the invention is applicable to the fault tree composed of bottom events which obey various types of life distribution and can be used to obtain the top event occurrence probability existing when the bottom event occurrence probability is known and the life distribution is unknown. Hence, the method is characterized by smaller and fewer limiting conditions and simple solution courses.

The invention discloses a method for intelligently calculating, predicting and controlling steam temperature of a power station boiler. The method comprises the following steps: step one, determining a sampling time interval Ts of prediction and control; step two, identifying local models Gm described by an input-output difference equation form of a steam temperature system of a unit operating under M typical load conditions; step three, tacking, simulating tracking control of square-wave signals of all the local models Gm by using model prediction control; step four, training an intelligent calculation model by using control simulation data of all the local models GM to form an intelligent prediction controller IPC; step five, identifying a nonlinear inverse model of a regulation valve; and step six, taking the trained intelligent prediction controller IPC as a real-time controller to obtain a temperature-reducing water valve opening degree actual command u(t) which can be implemented at current sampling time. The method has the advantage that the problem of low control performance of steam temperature caused by the change of steam temperature object with long time delay, great inertia and time-variant characteristic along with the loads of the unit can be avoided.

The present invention discloses a transformer substation monitoring picture remote browsing method, comprising the steps of: receiving and analyzing, by a master station, a corresponding picture file sent on the transformer substation; receiving, by the master station, a corresponding public resource definition file sent on the transformer substation for analysis to obtain a pel state mapping table; receiving, by the master station, corresponding measuring point data sent on the transformer substation, obtaining a required state of the pel to be displayed according to the pel state mapping table, and dynamically drawing on a picture of the master station; and real-timely receiving, by the master station, variable measuring point data sent on the transformer substation, obtaining the required state of the pel to be displayed in combination of the analyzed pel state mapping table, and dynamically drawing on the picture of the master station. Such method can solve the problem that the state variation of the pel of the monitoring picture in the transformer substation cannot be completely and accurately transmitted to the master station, ensure the display state of each pel in the remote browsing master station picture to be consistent with the display state of the corresponding pel in the transformer substation, and improve display effects and user experiences during the remote browsing.

The invention relates to a vertical deformation performance degradation alarming method of a cable-stayed bridge in an operating state. The method includes the following steps of sensor arranging, monitoring data processing, building of a relevant mathematical model of girder vertical displacement and operational factors in an intact state, determining of the significance level of a control chart, and cable-stayed bridge vertical deformation performance degradation alarming. In the step of sensor arranging, temperature sensors are installed on the top surface of a girder and the bottom surface of the girder at a midspan position of the cable-stayed bridge and used for monitoring the temperature of the top surface of the girder and the temperature of the bottom surface of the girder, and in addition, a vertical acceleration sensor and a vertical displacement sensor are installed on the top surface of the girder at the midspan position of the cable-stayed bridge and used for monitoring the vertical acceleration of the girder and the vertical displacement of the girder; a temperature sensor is installed at the position of the top of a bridge tower of the cable-stayed bridge; a temperature sensor is installed at the position, where the distance between the cable-stayed bridge and the midspan position is shortest, of the middle of the cable-stayed bridge. According to the method, various factors causing vertical displacement changes of the girder of the cable-stayed bridge in the operating state are completely considered, and therefore the real-time performance and the accuracy of cable-stayed bridge girder vertical deformation performance degradation alarming are effectively improved.

The invention discloses an intelligent calculating prediction control method of a thermal power generating unit coordination control system. The method comprises the following steps of step1, determining a sampling time interval Ts of prediction control; step2, through an unit characteristic test, acquiring a local model Gm described by an input-output difference equation form of a boiler steam turbine system under M typical load conditions; step3, using model prediction control to carry out square wave signal control simulation on all the local models Gms in the step2; step4, using control simulation data of all the local models Gms to train an intelligent calculating model so as to form an intelligent prediction controller IPC; step5, taking the intelligent prediction controller IPC acquired from the step4 through training as a real-time controller, collecting needed input signals and sending into the intelligent prediction controller IPC, wherein the intelligent prediction controller IPC automatically calculates and acquires a control increment instruction delta u (t) needed for adjusting the boiler steam turbine under any conditions. In the invention, accuracy is high, a reaction speed is fast and an on-line calculated amount is small.

The invention discloses a PCR detection reagent box of animal toxoplasmosis; the box contains DNA lysate, red blood cell lysate, white blood cell lysate, PCR reaction liquid and toxoplasmosis gene DNA positive control liquid; the 529bp repeated DNA segment of toxoplasmin is taken as genetic mark and special primer is taken to optimize the PCR reaction conditions such as the magnesium ion consistency, the anneal temperature and the regulation of the cycle number. The invention can detect the toxoplasmosis infection of pig, dog and cat in a fast special sensible way; the operation is convenient and the sensibility is high; the invention can be used for diagnosing the toxoplasmosis of pig, dog and cat and detecting and testing the drug effect appraisal of the selection of the toxoplasmosis medicines.

The invention provides a method for calculating power flow of power distribution networks. The method includes building node and branch information matrixes; carrying out current back-substitution updating and voltage push-forward updating on each node by the aid of progressive comparison processes; constructing error matrixes; comparing the error matrixes to convergence values to obtain power flow solution. The method has the advantages that parameters of the power distribution networks are known, and accordingly the node and branch information matrixes are easy to acquire; power of the various nodes does not need to be calculated in power flow calculation procedures on the basis of the progressive comparison processes, principles are simple as compared with Jacobian matrixes in Newton-Ralfson's methods, programming is easy to implement, the method is high in convergence speed and data accuracy, and precise power flow data can be provided for operation and maintenance staffs for the power distribution networks.

The invention relates to a distributed big-data computation middleware system framework in a loose environment (hereinafter referred to as Rhizome). The Rhizome corresponds to a platform-as-a-service & infrastructure-as-a-service (PAAS&IASS) layer and is applicable to cloud big-data computation applications. The Rhizome comprises three frame bodies which include an agent module, a function module and a function management module. The Rhizome has the advantages that the problems that complex communication mechanisms can not be processed and the efficiency is low when the big-data computation applications are supported by common cloud distributed computation frameworks are solved, and meanwhile, an MoC, such as a data flow mode, can be used for displaying parallel modes for embodying and expanding the applications in the cloud computation frameworks; an adopted two-layer agent mode can support reliable and quantifiable client-side+cloud software development in cloud operating system environments, experimental assessments show that a Hadoop cloud video computation application is excellent in performance with the help of the Rhizome, and the programming simplicity, the hardware acceleration unit butt joint easiness and the system robustness which are high substantially are provided.

The present invention discloses a security detector with a telephone alarm function and a programming method. The detector is composed of a detector shell, an infrared detecting head and a control circuit, wherein, the control circuit is composed of a single-chip microcomputer, a siren circuit and a telephone communication circuit, the telephone communication circuit includes a port connected with an exterior telephone line, a port connected with a random telephone, a dialing part, a number receiving part, a switching control circuit, a remote controller and a radio signal receiving circuit. The programming method includes the configuration of an alarm receiving telephone number or / and the configuration of the access password of an exterior telephone or / and the learning method of exterior wireless defence area detectors or / and the learning method of the remote controller. The security detector does not need a keyboard, uses the wireless remote control programming and can independently realize telephone remote alarm, and moreover, the security detector can also be added with the extended functions of exterior wired or wireless defence areas and provide the sharing of the telephone alarm resources of multiple detectors.

The invention provides an intelligent light source control device capable of realizing stepless dimming which is mainly used for the light source control of a dizziness and nystagmus data acquisition system. The intelligent light source control device comprises a power supply system, an infrared light source, a visible light source, a photosensitive sensor, a light source controller and an SOC (System On Chip); the light source controller comprises a CPU (Central Processing Unit), an I2C bus controller, a serial bus controller, a UIOC (Universal Input / Output Controller), a visible light source PWM (Pulse Width Modulation) module, an infrared source PWM module, an analog / digital converter, a register list and an encryption module, wherein the CPU is connected with all modules respectively, a register is respectively connected with the encryption module, the visible light source PWM module, the infrared source PWM module and the analog / digital converter. The light source controller is available to the stepless dimming control of the visible light source and infrared light source of an LED (Light Emitting Diode) and the infrared light source can be controlled to emit uniform light to strongly irradiate the veins of irises of eyeballs, so as to display clear pupils of the eyeballs.

The invention provides a complex disease gene cooperation and association analysis method based on GPU parallel computing. The method comprises the following steps of 1, performing main effect and epistasis detecting algorithm researching based on background control, namely utilizing a two-period strategy: in a first period, in all main effects and epistasis effects, deleting independent variables, and keeping relatively small number of variables; in a second period, inputting the variables which are screened in the first period into the model for finally determining a variable selecting method; 2, establishing an acceleration algorithm based on GPU parallel computing, and obtaining an MRMLM-GPU new method; and 3, performing performance analysis of the MRMLM-GPU new method. The method utilizes epistasis expansion for performing background control on the MRMLM algorithm and GPU acceleration improvement. In the epistasis primary screening period of the MRMLM algorithm, the SNP and the SNP pair are independent; and PyCUDA supplies a simpler programming mode for realizing parallel operation of the GPU. The method supplies a feasible new method for predicting the interaction genes of human diseases.

The invention designs a ball producing process and a ball producing system in the process of producing inorganic fibers by using red mud. The process comprises the following steps: firstly, adding materials into a stock bin; secondly, feeding the red mud, a curing agent, an acidity coefficient modifier and a cosolvent respectively into a crushing mixer according to a mass ratio; thirdly, feeding the crushed and mixed materials into a ball press machine, wherein the tangential pressure of a ball pressing part in the ball press machine is more than or equal to 2 tons / cm<2>; fourthly, sending ball-shaped materials into a ball bin tank body for curing and drying in shade. The ball producing system comprises a dosing machine, the crushing mixer, the ball press machine and the ball bin tank body, and the devices are connected with one another by a conveyor. The ball producing process disclosed by the invention has the advantages of low cost and high dosing precision, and the process flow is simple and convenient for programmed operation; in addition, the obtained ball-shaped materials have the advantages of low frangibility and uniform size, thereby facilitating transportation; when the inorganic fibers are produced, all that is needed is to proportionally mix the red mud with coke, the operation is convenient, and the produced inorganic fibers and inorganic fiber products are stable in quality.

The invention discloses a substation four-remote information table unified specification checking method and system. The method comprises the following steps: S1, classifying substation equipment according to the type of the substation equipment, and acquiring various standard signals; S2, associating the standard signal with each type of substation equipment; S3, setting a keyword according to the description of the standard signal of each equipment type; S4, establishing a standard signal rule base; S5, checking the information table of the checked meter power station according to the standard signal rule base. According to the method, the standard rule base is established to check the signal, and if the standard is changed, only the keyword content in the rule base needs to be changed,so the method is more flexible, the programming is simple, the operation efficiency can be greatly improved, and the accuracy is higher than that of judging whether the signal is qualified or not by depending on semanteme.

The invention discloses a correction method for interference measurement surface shape projection distortion of an off-axis parabolic mirror. According to a known position relationship among an off-axis parabolic mother mirror, an off-axis sub-mirror and an interferometer, correction of the interference measurement projection distortion of the off-axis parabolic mirror can be simply, convenientlyand quickly realized through coordinate projection transformation calculation in combination with a corresponding calibration method, and a foundation is laid for processing of a high-precision off-axis paraboloid.

The invention belongs to the technical field of wind load calculation, and particularly relates to a wind load equivalent calculation method for a rotary obstacle crossing mode of an inspection robot.The method comprises the following steps: A1, establishing a wind load model of the inspection robot, and dividing the wind load of the inspection robot into a transverse wind load Fx, a wind load Fyalong the direction of a power transmission line and a lift force Fz; A2, establishing a random wind speed model according to the dual-parameter Weibull distribution to obtain a wind speed time history; and A3, aiming at different obstacle crossing stages of the inspection robot, establishing a wind load equivalent fitting model under the corresponding obstacle crossing stage by combining the wind load model and the random wind speed model of the inspection robot, and obtaining a wind load equivalent calculation method. The method provided by the invention is different from an existing wind load equivalent method, the motion process of the inspection robot is considered, and a wind load equivalent calculation method more conforming to reality is established.

The invention discloses a method and a system for making balance of a small schedule operation plan in an assembly component. The method comprises the steps of obtaining uncertain factors in a small schedule operation plan of an assembly component; establishing an uncertainty algorithm model of the small schedule operation plan in the assembly component according to the uncertainty factors; determining a solving strategy of the uncertainty algorithm model according to the uncertainty algorithm model; and determining a small schedule operation plan in the assembly component according to the solving strategy. According to the method, uncertainty of various resource conditions such as time, space, personnel and equipment in the workshop assembly component construction process is considered, the application range is wide, programming implementation is easy, and the calculation efficiency is high.

The invention discloses a logic controller based on a movable storage device and a control method used for the logic controller. The logic controller comprises a main control unit and a peripheral device. The peripheral device comprises a movable storage unit which is in two-way communication with the main control unit. The main control unit is used for reading configuration files in the movable storage unit and controlling other peripheral devices. Control information is collected by the main control unit and is written into the movable storage unit. The control method used for the logic controller comprises the following steps: firstly writing scripting language configuration files into a movable storage device, reading scripting language configuration files through a microcontroller, and executing controlling the peripheral device. The logic controller based on the movable storage device and the control method used for the logic controller are high in integration level, expandable in signal processing type and wide in working time span, support multiple communication protocols, have functions of data collecting and recording, and the like.

The invention relates to the technical field of optical filter film systems, in particular to an automatic design method for an optical filter film system, which comprises the following steps: S1, determining a solution space, S2, adjusting a central wavelength, S3, encoding structural parameters, S4, generating an initial population, S5, calculating optical characteristics, S6, calculating bandwidth and passband ripples, and S7, adapting an operator process. According to the automatic design method for the optical filter film system, the film system design work of an optical filter has the advantages of global optimization, easy programming implementation, small calculation amount, good optimization effect, automatic design and simple and convenient operation, and the film system design work of the optical filter is enabled to have the advantages of global optimization, easy programming implementation, small calculation amount, automatic design and simple and convenient operation.

The invention provides an unmanned aerial vehicle control method and system and a remote controller for remotely controlling an unmanned aerial vehicle. The unmanned aerial vehicle control method comprises steps that a remote controller is used for controlling a teaching unmanned aerial vehicle to fly, and data related to navigation in the flying process of the teaching unmanned aerial vehicle are collected in real time and fed back to an unmanned aerial vehicle control device; the unmanned aerial vehicle control device processes and stores the received data; and the unmanned aerial vehicle control device sends a control instruction to the at least one unmanned aerial vehicle according to the stored data so as to control the flight of the at least one unmanned aerial vehicle.

The invention discloses a human embryo cardiac ultrasonic image denoising method which comprises the following steps: S1, acquiring an ultrasonic image data set with time sequence and space sequence characteristics, selecting a central image, and determining an adjacent image of the central image; s2, marking a current pixel to be processed in the central image as a central pixel, calculating thesimilarity between the central pixel and each pixel in the search domain corresponding to the adjacent image; s3, calculating a central pixel gray value corresponding to the adjacent image according to the similarity, and carrying out average value operation on the central pixel gray value to obtain a final gray value of the central pixel; and calculating a corresponding final gray value of each pixel of the central image by adopting the method, and traversing the whole central image to obtain a denoised clear image. According to the method, parameters can be freely adjusted in the denoising process, the denoising effect and time efficiency are balanced, support of a training set is not needed, programming is easy to achieve, and the algorithm complexity is low.

The invention relates to a large transformer lead assembly method suitable for large transformer lead assembly operation and belongs to the technical field of transformer production. According to the technical scheme, a large transformer lead is divided into three modules according to lead structures and includes a high-voltage lead wire clamp and lead module, a voltage regulating wire clamp and lead module and a switch wire clamp and lead module. When a transformer body is assembled, the three modules are independently assembled in advance according to a drawing, the three modules are wholly in butt joint with the transformer body after being independently assembled, the transformer body is assembled at the same time, and assembly of the whole transformer lead is completed. The method has the advantages that the lead assembly procedure and the transformer body assembly procedure are carried out at the same time, the production period can be effectively shortened, and work efficiency can be improved; standard and procedural operation of transformer assembly is facilitated, and assembly quality is improved.

The invention discloses a system and a method for asset depreciation computing and management. The method comprises the following steps: acquiring preset at least two depreciation solutions; reading depreciation algorithms and depreciation factors set in the at least two depreciation solutions respectively, performing depreciation computing according to the read depreciation algorithms and the depreciation factors to obtain depreciation computing results corresponding to the at least two depreciation solutions; and contrasting the at least two depreciation computing results. The system and the method eliminate the isolation of depreciation data, reduce the workload of a user, improve the efficiency of business processing, are simple in program processing and realize low cost.

The invention relates to an aircraft path tracking method based on a variable forward distance LOS guidance law, and belongs to the field of aircraft guidance control. An S-shaped function is adopted to represent the relation between the forward distance and the path tracking deviation in the LOS guidance law design, so that the aircraft can rapidly and stably converge to an expected path under the condition of different path tracking deviations, and it can be guaranteed that instructions are smooth and continuous during switching. Aiming at the characteristic of tilt turning maneuvering of an aircraft, the invention provides an instruction conversion method based on a Lyapunov stability theory, and a course angle instruction given by an LOS guidance law is converted into a roll angle instruction. The method is suitable for achieving maneuvering aircraft path tracking through inclined turning, and the task requirement that the aircraft converges to the expected path rapidly and stably can be met; meanwhile, the designed algorithm is easy to program and realize on a flight control computer, and has better engineering practicability.