43results about How to "Avoid sampling" patented technology

The invention provides a chip and method for achieving sleep mode wake-up through an edge detection circuit. A central processing unit is used for sending a low-power-consumption application to a clock controller; the clock controller is used for closing a clock circuit according to the lower-power-consumption application, temporarily stopping providing a system clock for the edge detection circuit and the central processing unit and triggering entering a sleep mode; in the sleep mode, the edge detection circuit is used for detecting a signal to be detected and generating a wake-up signal according to the signal to be detected; the clock controller is used for switching on the clock circuit according to the wake-up signal, renewedly providing the system clock for the edge detection circuit and the central processing unit and sending a sleep mode signal to the edge detection circuit to trigger entering a common mode. The chip can shut down all clock networks and all clock generation circuits and wake up the sleep mode without affecting functions. In this way, the power consumption of the chip is lowered to the lowest degree.

The invention provides a chip allowing a sleep mode and a method. A clock controller is used for applying to switch off a clock circuit according to low power consumption, a system clock is suspended to be provided for an edge detecting circuit and a central processing unit, and the sleep mode is executed in a triggering mode. Under the sleep mode, the edge detecting circuit is used for detecting signals to be detected and generating rousing signals according to the signals to be detected; the clock controller is used for switching on the clock circuit according to the rousing signals and providing the system clock again for the edge detecting circuit and the central processing unit, sleep mode signals are sent to the edge detecting circuit, and a common mode is executed in a triggering mode. The chip allowing the sleep mode and the method are used for switching off all clock networks and all clock generating circuits and rousing the sleep mode on the premise that functions are not influenced, and therefore the power consumption of the chip is reduced, and the power consumption of the chip is made to be minimized.

The invention provides a manufacturing method for a rock-surface-morphology-similar model structural plane. The method comprises the following steps: step 1, three-dimensional scanning of the surface morphology of a rock structural plane: a step of subjecting the selected rock structural plane to surface cleaning, and shooting the surface of the rock structural plane by using a three-dimensional scanner so as to obtain measured data of three-dimensional surface undulation morphology of the structural plane; step 2, generation of a three-dimensional model: a step of completing compositing of the scanning data by using reverse engineering software, and completing digitalization of a surface undulation morphology model of the rock structural plane, thereby generating the three-dimension geometric model; and step 3, processing of the model structural plane: according to the three-dimensional geometric model, realizing processing of a molded surface with the three-dimensional surface morphology on the surface of a testing model so as to obtain the rock model structural plane with the surface undulation morphology similar to that of the rock structural plane. The manufacturing method provided by the invention can satisfy requirements on manufacturing of the rock model structural plane with similar surface morphology without sampling of a field structural plane; meanwhile, the method is free of the disadvantages of difficult sampling of the field structural plane and high testing cost and has good operability and practicability.

The invention relates to primers and TaqMan probes used for carrying out two-channel fluorescence PCR detection of trichomonas vaginalis viruses and candida albicans viruses. The primers and the TaqMan probes are trichomonas vaginalis virus primers and trichomonas vaginalis virus TaqMan probes designed based on a trichomonas vaginalis virus conserved area and candida albicans virus primers and candida albicans virus TaqMan probes designed based on a candida albicans virus conserved area. Simultaneously, the primers and the TaqMan probes are used for detecting whether trichomonas vaginalis virus RNA and candida albicans virus DNA exist in a sample to be detected. The invention further comprises a detection method employing the primers and the TaqMan probes and a kit containing the primers and the TaqMan probes.

The invention provides a DC probabilistic load flow method for classification processing of load and wind speed correlation. The DC probabilistic load flow method comprises the steps of: adopting a Monte Carlo method based on Latin hypercube sampling to calculate a probability density curve of total wind electricity power of a related wind power plant; utilizing the feature that load is generally in normal distribution, and calculating a normal distribution function of total load rapidly by adopting an analytical method; and finally adopting a convolution method for synthesizing two kinds of probability calculation results. Since the generation and sampling of load samples are avoided when processing correlated load, the DC probabilistic load flow method can significantly improve the probabilistic load flow calculation efficiency while ensuring precision, and is of great significance in system planning, operational risk assessment and the like.

The invention discloses a self-directed learning permanent magnet synchronous motor MTPA curve tracking method and apparatus. The method comprises the steps of S1, performing initialization of a current amplitude value and a current angle value; S2, updating the current amplitude value at present; S3, obtaining a newest current angle value by summing of an angle compensation amount output by a PIregulator and the current angle value at present through an angle calculator, wherein the current angle value at present is updated into the newest current angle value; S4, working out a derivative ofthe current torque to the current angle value at present by a self-directed learning derivative observer through a disturbance observation method; S5, judging whether the derivative is within a set range or not by an error judger, if so, executing a step S6, or otherwise, executing a step S7; S6, if the current amplitude value at present is added with 10A, jumping to the step S2; and S7, enablingthe PI regulator to work out the angle compensation amount according to the derivative to be output to the angle calculator, and then jumping to the step S3. By changing the static calibration mode into a dynamic searching mode, the current angle value with the highest torque can be searched at the current vector value at present.

The invention discloses an active high-frequency damping method for current control for an LCL type grid-connected inverter. The active high-frequency damping method specifically comprises the following steps that a current reference value i<L1_ref> on the inverter side and feedback quantity, that is, a predicting current hat{i}<L1> are subjected to subtraction to obtain an error value delta e, and the error value is output by a proportional controller; output signals are divided into three signal flows, one of the signal flows is used as input of a high-frequency damping unit, one of the signal flows is output through a current reconstruction and preset unit part, another one of the signal flows and a common coupling voltage v<pcc> which has a feed-forward coefficient k<g> are subjected to addition, and the sum is output through a time delaying unit; and an output value acts on a controlled object to obtain an output value, that is, an in-grid current i<L2>, the output of the currentreconstruction and preset unit part and the in-grid current i<L2> are subjected to addition, and the predicting current hat{i}<L1> is obtained. A current reconstruction method avoids sampling of a current on the inverter side, reduces the complexity of system hardware, improves invariant features of a system, compensates delay of the system, and reduces dynamic and static errors of the system.

The invention relates to the field of biological pharmacy, in particular to a pichia pastoris fermenting method for improving precursor expression of insulin and analogue thereof. The fermenting culture comprises the following stages of an initial growth phase, a glycerin supplementing phase and a methanol inducing phase. The method has the advantages that by controlling a formula of an initial culture medium, and the nitrogen source type and carbon source supplementing type, and continuously or semi-continuously supplementing a small amount of microorganisms or plant-source organic nitrogen sources in the middle and later period of fermenting, the fermenting cycle is extended; while the quality of the target product is guaranteed, the output is increased by not less than 30%.

The invention discloses a method for evaluating a system damping ratio based on the number of power oscillation times. According to the method, a small interference linearity equation of the interconnected network is generated based on data provided by a wide domain measuring system and power system analysis comprehensive program software, and the equation is solved to obtain time domain expressions of the power oscillation of various branches; the number of effective disturbance times of connecting lines between two domains within the domain oscillation frequency range and the relation of the theoretical ratio of the total number of effective disturbance times of the interconnected network and the damping ratio among the domains are obtained according to the time domain expressions of the power oscillation of the branches and an effective disturbance judging method; the number of effective daily disturbance times among the domains and the number of effective daily disturbance times of the interconnected network are obtained through the wide domain measuring system, and the actual ratio of the number of effective daily disturbance times among the domains and the number of effective daily disturbance times of the interconnected network is worked out; a curve chart corresponding to the relation is drawn, and the evaluation value of the damping ratios among the areas is obtained. The value of the damping ratio of the system and the changing situation can be evaluated according to WAMS historical data, and reference data are provided for operation workers.

The invention discloses an automatic online sampling sludge settlement ratio measuring device and method. The automatic online sampling sludge settlement ratio measuring device comprises a measuring flow cell and a control system, wherein the measuring flow cell is provided with a water and sludge inlet, an overflow port and a sludge and sewage discharge port; an automatic sample injection valve is arranged at an outlet of the water and sludge inlet, two pipelines are arranged behind the automatic sample injection valve, one pipeline is connected with a sludge discharge system of a preorder reaction tank and provided with an automatic sampling valve, the other pipeline is connected with a flushing water system and provided with an automatic flushing valve, the overflow port is connected with a wastewater collection system, and the sludge and sewage discharge port is connected with the wastewater collection system through an automatic sludge and sewage discharge valve; and the control system is connected with the control ends of all automatic valves, controls the automatic on-off of the automatic valves, and has the functions of time sequence control and one-key starting. Accordingto the device, the problems that a sample is not representative due to randomness of manual sampling, errors are generated in the manual sample moving process, sludge flocs are disturbed in the sampling and sample moving processes and the like are solved, reading is convenient and rapid, and the real-time performance and accuracy of sludge settlement ratio measurement are improved.

The embodiment of the invention provides a method and device for eliminating moire patterns in an image. The method comprises the steps that a target image containing the moire patterns is acquired; inputting the target image into a preset generator, and taking the output of the generator as a moire elimination image corresponding to the target image, wherein the generator is a deep convolutionalneural network which is obtained through training by applying a preset generative adversarial network and is used for eliminating moire in the image. According to the method and the device, the elimination efficiency of the moire in the image can be effectively improved, the quality of the image after moire elimination can be effectively improved, and the definition of the image after moire elimination can be effectively improved.

The invention provides a gas detection device. The gas detection device comprises a light source, a GFC wheel, a White cavity and a first sensor, wherein a light splitting part is arranged in the White cavity and is used for separating out one part, emitted into the White cavity, of the light source; the GFC wheel is provided with a first cavity, a second cavity, a third cavity and a fourth cavity which are isolated mutually; an optical filter group is arranged on a measuring light path at one side, close to the light source, of the GFC wheel and is used for respectively making measuring light entering the first cavity and the second cavity pass through the wavelength of the spectral line of an absorption spectrum corresponding to a first gas and respectively making measuring light entering the third cavity and the fourth cavity pass through the wavelength of the spectral line of an absorption spectrum corresponding to a second gas; a second sensor is used for converting an optical signal split by the light splitting part into an electric signal and transmitting the signal to an analysis unit. The gas detection device has the advantages of high detection precision, low cost, simple structure and the like.

The invention discloses a farmland soil fertility evaluation method based on a convolutional neural network. The method comprises the steps: obtaining an original farmland image, and building a farmland soil fertility classification model; performing normalization processing on each original farmland image, and performing data expansion on the normalized original data to form a training set; training the farmland soil fertility classification model by adopting the training set, obtaining a plurality of images of the target farmland as to-be-evaluated pictures, inputting the to-be-evaluated pictures into the trained farmland soil fertility classification model, and outputting a corresponding classification result; and obtaining the fertility evaluation grade of the target farmland after statistical analysis. According to the method, samples are obtained under the condition of not damaging farmland and crop growth, the soil fertility condition of the current land parcel is repeatedly calculated through deep learning, manpower and material resources are saved, and the classification accuracy is high; meanwhile, by combining a soil fertility multi-parameter space-time distribution rule, effective technical support is provided for accurate fertilization in final intelligent agriculture.

The invention discloses a portable rapid water sampling and detecting device. A launch canister is arranged at the upper part of a base, a winding wheel is arranged on one side of the launch canister,a supporting barrel is arranged on one side of the winding wheel, a compression barrel is arranged on one side of the supporting barrel, and a moving plate is movably connected to the compression barrel through a telescopic rod. A plurality of water taking mechanisms are arranged on one side of the supporting barrel; a conical head is arranged in a fixed pipe; the conical head is movably connected with the fixed pipe in a sealing manner; a connecting rod is arranged on one side of the conical head; a spring is arranged on one side of the connecting rod and pushes the connecting rod to move into the supporting barrel; a limiting block is arranged on the other side of the connecting rod, the limiting block is movably connected to the connecting rod through a guide rod and moves outwards along the guide rod; and a fixing block is arranged on one side of the limiting block, and a starting block is arranged on one side of the fixing block and movably connected to the fixing block. Samplingin a wide area is achieved, sampled samples in the sampling process are increased, and sampling of different samples is achieved.

The invention relates to the field of monitoring of coal-fired flue gas pollutants and discloses a device and a method for monitoring the concentration of sulfur trioxide in coal-fired flue gas on line. The device is used for synchronously sampling the coal-fired flue gas in two paths; the first path of flue gas is filtered and then is directly introduced into a flue gas analyzer to analyze components of raw flue gas; the second path of flue gas is filtered and then is introduced into a reactor for storing solid salt particles to be subjected to chemical reaction to generate gas which has relatively stable properties and is easy to detect; then the gas is introduced into the flue gas analyzer to analyze components of the reacted flue gas; and finally, the concentration of the sulfur trioxide in the flue gas is calculated through comparing the difference of the components of the flue gas in the raw flue gas and the reacted flue gas. The device and the method have a simple principle; anda complicated sulfur trioxide sampling link is avoided through indirect measurement, the measurement period is greatly shortened and personal errors in a sample analysis process are reduced. Furthermore, the flue gas analyzer can be used for continuously measuring on line, so that continuous online monitoring of the sulfur trioxide can be realized through a simple computer function.

The invention provides a lung disease recognition method and device based on CT data, a computer readable medium and electronic equipment, and relates to the technical field of image processing. The method comprises the following steps: acquiring a 3D tensor corresponding to lung CT data to be identified, and partitioning the 3D tensor to obtain k partitioned tensors; performing lung disease classification identification on the k block tensors to obtain k block classification results; and outputting an identification result corresponding to the to-be-identified lung CT data according to the k block classification results, and determining a focus block tensor corresponding to the to-be-identified lung CT data in the k block tensors when the identification result is an abnormal result. According to the method, the 3D tensor is partitioned, so that sampling of the 3D tensor can be avoided, and then missing of key focus information or introduction of repeated invalid noise is avoided; and meanwhile, the focus block tensor can be directly determined in the k block tensors through the k block classification result, so that the coarse positioning of the focus is realized based on the focus block tensor.

The invention discloses a time sequence parameter scanning method and apparatus. The method comprises the steps of initializing a synchronous dynamic random access memory, configuring multiple groupsof time sequence parameters, and traversing each group of the time sequence parameters; performing DMAC (Direct Memory Access Controller) reading detection on different traversed time sequence parameters to obtain the time sequence parameters corresponding to correct reading/writing of data of the synchronous dynamic random access memory; and selecting a group of optimal time sequence parameters from the obtained time sequence parameters through data line and address line detection and minimum time sequence parameter delay principles. The time sequence parameters of the synchronous dynamic random access memory are scanned by adopting a scanning algorithm of a DMAC, so that error data is prevented from being sampled by single reading operation, the optimal time sequence parameters of the synchronous dynamic random access memory can be directly, accurately and quickly found, and the time sequence parameters are more stable and reliable; and a conventional March_C algorithm is improved, so that errors of a data line and an address line of the synchronous dynamic random access memory can be detected more effectively, and the fault detection range is wider.