44results about How to "Self-adaptive" patented technology

The invention discloses a device for inhibiting vortex-induced vibration of an underwater standpipe of a fish-tail imitating cowling, belonging to field of laying technology of ocean standpipe facilities. The device is used for installing the fish-tail imitating cowling which can change the direction along with the flowing direction of water flow on the underwater standpipe. The device comprises a rotary module, a cowling fixing pad, a cowling and a fish-tail flexible plate, wherein the cowling has a figure of round front part and sharp rear part, has smooth surface and is slightly like the shape of a drip. The arc part of the cowling is coaxial with the standpipe. The cowling is connected with a main pipe by the rotary module that can be assembled and disassembled conveniently so that the cowling can rotate freely around the standpipe. A small-density buoyancy material is added to the hollow part of the cowling. The fish-tail flexible plate is arranged at the tail of the cowling so as to reduce the forward flow angle of the cowling, therefore, a better effect of reducing resistance and inhibiting vortex-induced vibration is achieved. The device can effectively inhibit the vortex-induced vibration; therefore, the anti-fatigue strength of the underwater standpipe can be improved, so as to greatly reduce the engineering cost. Simultaneously the limit of certain vortex-induced vibration inhibiting devices on the forward flow direction can be overcome, therefore, the device has extremely high application values in the environments where the water flowing direction of oceans orrivers changes frequently.

The invention discloses a method for correcting a text image and belongs to the field of optical character recognition. The method comprises the following steps of: positioning a character zone in the text image and extracting suspected characters; recognizing the suspected characters, wherein if the recognition reliability is higher than the reliability reference value of a single character, the effective direction of the characters is positive, otherwise, the suspected characters are rotated counterclockwise respectively for judging the effective direction; extracting and sending the characters having the effective direction to an effective character set; extracting the corresponding text direction until the accumulated value of the recognition reliability in a certain direction is higher than the predetermined recognition reliability; correcting the direction of the image and recognizing and outputting the text image. The method effectively eliminates the influence from unreliable characters, prevents the unreliable zone in the character zone from influencing the judgment of the character direction, is well suitable for the text images having complexity or noise or poor quality and can judge the direction of a text image fast and correctly so as to effectively recognize the text image.

The invention discloses a long code capture system and method based on a partial matched filtering FFT algorithm. The system comprises a signal receiving and storing module, a local pseudo code storage module, a partial matched filtering module, a single code element accumulated value buffer module, an FFT module, a two code element direct coherence accumulation module, a two code element processing coherence accumulation module, a cell incoherence accumulation module, a peak value comparison module and a judgment module. The method comprises the steps of obtaining baseband signals, conducting partial matched filtering operation, conducting FFT, conducting coherence accumulation on different weights of two code elements, conducting cell incoherence accumulation, comparing peak values and judging whether the peak values exceed a judgment threshold. By means of the long code capture system and method, the long code capture performance of satellite navigation signals in an environment with a large Doppler shift and a low signal to noise ratio is improved; hardware resources captured by long codes are saved.

The invention discloses a method for online computing a motor optimal operating point. Online computing on the optimal operating point of an asynchronous motor is completed through optimal slip frequency corresponding to the optimal operating point of the asynchronous motor. The optimal slip frequency w2_max is obtained by the following formula, Rs represents stator resistance, Rr represents rotor resistance, and Lm represents mutual inductance. The method has the advantages of being high in real-time performance, high in precision, good in system stability, strong in anti-interference capacity and the like.

A power socket based on Zigbee wireless network technology is provided by the invention, which comprises a socket and a remote control which is required for controlling the operation of the socket. The socket comprises a single chip microcomputer of the socket as well as a temperature sensing module, an overload protection module, a relay module, a write enable module which are respectively connected with the single chip microcomputer; the remote control comprises a single chip microcomputer as well as an RS232 serial communication module, an LCD display module, a keyboard input module, an extended memory module, a clock module and an alarm module which are respectively connected with the single chip microcomputer; the socket is controlled to be operated by the remote control and both are connected with each other by radio signals while the socket is connected on each electric appliance. The device of the invention has high intelligence and a plurality of functions can be realized, such as the self-adaptation to the Zigbee network, zoning management and control, time switching, overload and overheat protections, etc.

The invention provides a voice activity detection method and system. The method comprises the steps: calculating the spectrum density of a current frame of an audio signal; estimating an expected value of the spectrum density of noise; calculating the signal to noise ratio of the current frame based on the spectrum density of the current frame and the spectrum density of noise; and generating a voice activity detection result based on the signal to noise ratio of the current frame and a preset threshold. Therefore, the voice activity detection result is related with the probability statistics distribution of noise, thereby overcoming the impact on the detection result from noise. Meanwhile, the preset threshold is a dynamic threshold and is related with the change of noise, thereby enabling the detection result to be adapted to the noise environment of the current frame.

The invention discloses a vehicle Inerter-Spring-Damper (ISD) suspension active control method based on single neuron PID control. The vehicle ISD suspension active control method based on single neuron PID control comprises the following steps of (1) establishing a 1 / 4 model of an ISD suspension; (2) determining vertical displacement of a pavement; (3) determining a vehicle suspension performanceevaluation index; and (4) determining a neuron learning rule and a learning algorithm. According to the vehicle ISD suspension active control method based on single neuron PID control, an ISD suspension system can be simply and easily enabled to adapt to environmental change to improve vehicle performance; and the vehicle ISD suspension active control method based on single neuron PID control provides a new research thought and direction for design and application of the vehicle ISD suspension, in particular for research on a controllable ISD suspension.

The invention discloses an intelligent housing system coordination system and method based on the Zigbee wireless communication technology. The system comprises a main node intelligent housing network controller and housing network devices distributed in rooms respectively. The housing network device in each room comprises a partial node intelligent housing network control router, multiple housing devices, multiple function driving modules used as function executing mechanisms of the housing devices and multiple partial node intelligent housing network controllers. Each housing device is in interactive connection with the corresponding function driving module. Each function driving module is in interactive connection with the corresponding partial node intelligent housing network controller. Each partial node intelligent housing network controller is in communication connection with the corresponding partial node intelligent housing network control router. The Zigbee wireless communication network of the system is formed after the partial node intelligent housing network control routers in the rooms are in communication connection with the main node intelligent housing network controller.

The invention discloses a capacitive adaptive universal liquid level measuring device and method. The device comprises: a capacitive sensor module, a conversion module, a data collection and processing module and a power module, wherein the capacitive sensor module comprises a liquid level sensor, a first environmental sensor and a liquid sensor; the liquid level sensor collects a capacitance value reflecting a change in liquid level; the first environmental sensor collects a capacitance value in a liquid-free state of the environment; the liquid sensor measures a capacitance value in a statewhere liquid is immersed; the conversion module is connected to the capacitive sensor module; the capacitance value collected by the capacitive sensor module is converted into a frequency signal and digitally output; the data collection and processing module is connected to the output end of the conversion module, and data output by the conversion module is processed to obtain a liquid level height; the power module supplies power to the capacitive sensor module, the conversion module and the data collection and processing module. By the capacitive adaptive universal liquid level measuring device and method, the defects of the existing liquid level sensor are overcome, and the liquid level measurement has higher precision, safety and universality.

The invention introduce the principle that the natural killer (NK) in a human immune system induces a latent virus into an artificial immune system (AIS) and provides an artificial immune method based on artificial NK cells for self-adaptively discovering latent spyware. In the system, artificial NK can self-adaptively discover traces of the unknown spyware through learning and evolution, release some 'baits (induction factors)' which interests the spyware and induces the spyware to perform malice activities. The immune system can finally identify the spyware by sensing and relating the activated malice activities, so that detection rate of the spyware is increased. By the method, known and unknown spyware can be discovered, and good detection effect on highly-disguised spyware can be achieved.

The invention discloses an engine all-cylinder nonuniformity compensation control method based on indicated torque. The method aims to solve the problem that in the prior art, all cylinders of a multi-cylinder engine are not uniform. The method comprises the steps that firstly, instantaneous rotational speeds of air cylinders at the end point of an acting interval are obtained and converted into instantaneous angular speeds; secondly, the average rotational speed of the air cylinders in the acting interval is obtained and converted into an average angular speed; thirdly, a basic indicated torque relative residual error is calculated according to the instantaneous angular speeds of the air cylinders at the end point of the acting interval, the average angular speed of the air cylinders in the acting interval and target demand indicated torque of the air cylinders; fourthly, a modified indicated torque relative residual error is calculated according to the basic indicated torque relative residual error; lastly, the fuel jet quantity of all the cylinders are subjected to compensating adjustment through a learning type modification algorithm according to the calculated modified indicated torque relative residual error. The method is suitable for the full life circle of the engine, good in compensation effect, stability and responsiveness and beneficial to improving the performance of the engine.

The invention belongs to the technical field of mineral separation and particularly relates to complete equipment for pre-desliming floatation. A self-interference elastic rectifying and desliming unit is arranged, and an inclined rectifying hole formed by an inclined plate is adopted as a rectifying device, so that particle settlement is accelerated while turbulent flow is changed into laminar flow, and the settlement time is shortened; the rectifying device adopts a diversion channel of which the cross section is wide in upper part and narrow in lower part, and high-speed flows are formed and form convection interference on a material flow at the bottom of a first material drainage channel in a self-interference mixing area, so that the materials are subjected to interfered settling, the separation of clean ash from fine silt is accelerated, floatation feed materials are subjected to pre-desliming, and further the viscosity of the floatation feed materials is reduced; meanwhile, a connecting rod injection stirring air suction mechanism is adopted; air suction spray nozzles are adopted for injecting an impeller in an air chamber and drive a connecting rod stirring impeller in a floatation tank, so that the resistance of an injection water body is overcome, energy consumption is greatly reduced, ore pulp with different concentrations is fully mixed under the reasonable impeller stirring action and provides enough suction intensity, and the floatation efficiency is improved.

The invention provides a visual measurement and three-dimensional reconstruction method of a model terrain in muddy water. According to the method, firstly, a video image file of the underwater model terrain is directly obtained by using a B-ultrasound instrument, and a single frame of B-ultrasound image is analyzed; then, according to the gray level and gradient features (a breakdown process exists) of terrain bright bands in the B-ultrasound image and the continuity of the model terrain in the horizontal direction, single-pixel extraction of a terrain boundary line in the single frame of the image is achieved at a time; according to the similarity of terrain lines in multiple frames of continuous images, cubic spline function interpolation is conducted, and underwater three-dimensional terrain is reconstructed. The visual measurement and three-dimensional reconstruction method is good in penetrability, high in adaptivity, suitable for underwater model terrain such as plastic sand, natural sand, pulverized coal ash and bakelite powder, high in operation speed, high in measurement accuracy, visual, efficient, rapid and capable of effectively eliminating imaging disturbance of unrelated moving suspended particles in water and reappearing underwater original terrain appearance; the single operation time is shorter than 0.1 second, and underwater terrain errors are all less than 1 millimeter after single measurement and reconstruction.

The invention discloses a shape-adaptive pelvic floor muscle group trainer, comprising a probe, a medium source and a control terminal, wherein the probe is provided with a cylindrical main body, the main body is provided with a plurality of limiting devices which can be rotated out or pulled out, the main body is covered by an elastic material, the surface of the elastic material is provided with a plurality of bulges in capsule arrangement, space is formed between the main body and the elastic material, and the main body or the surface of the elastic material is provided with a pressure sensor; the tail end of the main body is connected with the medium source by means of a valve, and the control terminal is provided with a control interface, which is connected with the pressure sensor and the medium source in a wireless way, can control the injection and the extraction of a medium, and receives a real-time pressure signal fed back by the pressure sensor. Shape and length self-adaption, and visual and dynamic training are realized, and the internal environment of a human body is prevented from being infected.

The invention discloses an anchoring device and an anchoring method for an overwater photovoltaic array. The anchoring device comprises a plurality of groups of pile bodies fixed to the water bottom or anchor blocks sinking to the water bottom, catenary chains and anchor ropes. One end of each catenary chain is connected with the anchor block or the pile body, and the other end is connected with one end of the anchor rope; the other end of each anchor rope is connected with an overwater photovoltaic array; according to the anchoring device and the anchoring method, the self-adaptive adjustment effect can be achieved through the catenary, and the stress of an anchor point is adjusted through the self weight of the catenary part; anchoring failure caused by local stress concentration due to non-uniform distribution of anchoring force of a large photovoltaic array can be avoided; as for a large photovoltaic array, multi-row and multi-column catenary anchoring is adopted, anchoring failure caused by local stress of the outermost array can be avoided, the force of the whole array can be dispersed into the whole array, and safety and reliability of anchoring are guaranteed.

The invention discloses a wireless power supply system of a set top box and a control method. The wireless power supply system comprises a power supply network, an electromagnetic induction wireless charging module, a super-capacitor control module and an intelligent switch control module, wherein the electromagnetic induction wireless charging module comprises a sending module and a receiving module, the sending module is electrically connected with the power supply network and used for receiving the electric energy provided by the power supply network, the electric energy is transmitted between the receiving module and the sending module through electromagnetic induction, the super-capacitor control module is electrically connected with the receiving module and used for storing the electric energy stored by the receiving module and providing the electric energy for the set top box, and the intelligent switch control module is connected with the receiving module in series and used forcontrolling the connection and disconnection of the receiving module and the super-capacitor control module. By means of the wireless power supply system, the wireless power supply technology is improved; in combination with a super-capacitor, the multi-specification self-adaptive wireless power supply of the set top box is realized, the problem that set top boxes from different countries are notcompatible in specification is solved, and cost is greatly reduced.

A novel damping bearing block mechanism comprises a double-layer stereoscopic rectangular guard frame, the double-layer guard frame is mounted on a base and fixed by hinge pins, a bearing is mounted in an inner cavity of the double-layer guard frame and connected with a double-position spherical shaft sleeve, the bearing, the double-position spherical shaft sleeve and a silicon fiber damping ring are combined and are mounted in a hole of the base, and a double-body shielding cover is mounted on the base by bolts. The novel damping bearing block mechanism has the advantages that a damping effect is good, errors are fewer, the service life is long, and a fit clearance between a slender shaft and the bearing is rarely abraded.

The invention discloses an adaptive pseudo-colorization method for magnetic flux leakage data. The method comprises the following steps: carrying out base value correction and denoising preprocessingon the magnetic flux leakage data; carrying out classification and graying processing on the preprocessed magnetic flux leakage data to generate a grayscale image; segmenting the generated grayscale image by adopting two methods, segmenting the generated grayscale image into two parts according to a grayscale threshold, and performing binarization segmentation on the two parts of images by adopting an Otsu algorithm to obtain background region grayscale interval endpoint values; segmenting the grayscale image according to the category label, and taking a grayscale maximum value corresponding to the C2 to Ck categories as a grayscale interval boundary value; combining the background region gray interval endpoint value, the gray interval boundary value and the pixel point gray value extremevalue corresponding to the C1 category to obtain each endpoint value of the gray interval; adjusting pseudo-color codes according to the end point values of the gray interval, and carrying out pseudo-colorization processing on the gray image. The method is clear in pseudo-color image defect features, clear in boundary and high in boundary identification degree.

The invention relates to the technical field of image compressed sensing reconstruction, and discloses a compressed sensing reconstruction method and system based on deep learning, which combine compressed sampling and reconstruction, perform sampling by using a convolutional layer, construct a mapping relation from a measurement matrix to a network layer, parameters in a sampling convolution layer are updated while the system is trained, a more appropriate measurement matrix is obtained through training according to features in a data set, the measurement matrix is made to have self-adaptability and a better image reconstruction effect, the training set is preprocessed, the calculation complexity is reduced, and the sampling efficiency is improved. A convolutional generative adversarial network model is combined in signal reconstruction, and a full connection layer in the network is removed, so that the training speed is higher, and the problem of training over-fitting caused by many parameters of the full connection layer can be prevented. In addition, a measurement value optimization step is added in generator training, and the speed and the performance of signal reconstruction are improved.

The invention discloses a knowledge engineering-based self-adaptive ship profile end cutting model establishment method. The method comprises the following steps of 1) establishing an end cutting basic type library; 2) according to the basic type of end cutting, establishing an end cutting design universal template of each type; 3) performing parameter assignment on the ship profile by utilizing knowledge engineering rules; and 4) warehousing and calling the end cutting model. According to the method, the design logic is matched from the design rule, and the method has the self-adaptive characteristic, so that the design efficiency is improved.

The invention discloses an intelligent experiment classroom. The intelligent experiment classroom comprises an intelligent blackboard, intelligent illuminating lamps, intelligent windows, an intelligent door, an intelligent air conditioner, intelligent desks and chairs and a central processing unit; the intelligent blackboard, the intelligent illuminating lamp, the intelligent air conditioner andthe central processing unit are arranged on one wall of the intelligent experiment classroom; the intelligent window and the intelligent door are arranged on another wall of the intelligent experimentclassroom; the plurality of intelligent windows are arranged on the rest two walls; the plurality of intelligent illuminating lamps are arranged on a ceiling of the intelligent experiment classroom;and the multiple pairs of intelligent desks and chairs are arranged on the floor of the intelligent experiment classroom. The linkage control of teaching equipment is realized; and the intelligent experiment classroom is suitable to meet the intelligent classroom needs, and has the characteristics of intelligence, diversity, full-automatic adjustment and the like.

The invention for evaluating angle of radiation source includes following steps. (1) Data acquisition is carried out in order to obtain data of power time delay distribution of radiation source. (2) Path determination is carried out so as to recognize the position and power of effective path on the power time delay distribution. (3) NLOS recognition is carried out. Using the information of position and power of the path output from step (2) recognizes whether a direct path between the radiation source and receiver is existed or not. (4) Filtering paths is carried out. (5) Based on the result recognized by NLOS and the result of filtering paths, the correspondent method for evaluating angle is determined. The invention raises the accuracy for evaluating angle of radiation source at complex geographic environment, suitable for evaluating azimuth or pitch angle.

The present invention provides an extraction and detection integrated gene detection system, which comprises: a gene extraction module, which is used for collecting and reading biological sample information, analyzing the biological sample information, and determining biological gene information; a gene detection module which is used for reading the biological gene information, detecting the biological gene information and determining a detection result; and an evaluation module which is used for carrying out risk evaluation on the detection result based on a preset evaluation mechanism, generating a corresponding evaluation result and transmitting the evaluation result to the control terminal.

NB The invention discloses a working frequency point self-adaptive optimization method of an NB-IOT wireless repeater, and relates to the technical field of NB-IOT wireless repeaters. The problem that existing NB-IOT wireless repeater does not have an automatic frequency point selection function and cannot adapt to the technical defect that the frequency point of a donor base station is changed can be solved. After the NB-IOT wireless repeater is installed and powered up, a monitoring system of the IOT wireless repeater firstly automatically and circularly detects all downlink input signal strength of all the NB-IOT frequency points and compares, and the NB-IOT frequency points with the strongest compared signal strength is set as the working frequency point of the NB-IOT wireless repeater; the downlink gain of the equipment is automatically adjusted, so that the downlink output power of the equipment is reasonable, and the uplink gain is adjusted according to the downlink gain to realize coverage of uplink and downlink signals; the manual setting cost is saved, the use is convenient, and the working frequency point changing efficiency is high.

The invention discloses an air pad with high adaptability. The air pad comprises a protection outer pad, a control push button, a temperature control device, a main air bag and a weight sensing air bag, wherein the control push button is embedded in the upper side of the protection outer pad and is electrically connected with the temperature control device arranged at the inner side; the temperature control device is connected with the main air bag arranged at the right side through an air conveying pipe; the weight sensing air bag is arranged at the upper side of the main air bag and is connected with the temperature control device through the air conveying pipe; the control push button is arranged on the air pad and is used for regulating the temperature control device; the temperature control device senses the outside temperature through a temperature sensor; when the temperature is too low, a motor drives a fan and a heater to work and to convey high-temperature air into the main air bag; the main air bag is heated; when the temperature is too high, the motor drives the fan and a cooler to work and to convey low-temperature air into the main air bag; the main air bag is cooled,so that the temperature control goal is achieved.

The invention discloses a vehicle ISD suspension active control method based on single neuron PID control. The method comprises the following steps: (1) establishing a quarter model of the ISD suspension; (2) determining the vertical displacement of the road surface; 3) Determine the vehicle suspension performance evaluation index; (4) Determine the neuron learning rules and learning algorithms. The invention can easily adapt the ISD suspension system to environmental changes and improve vehicle performance. This method provides a new research idea and direction for the design and application of the vehicle ISD suspension, especially for the controllable ISD suspension. Research.

The invention relates to a nylon buckle type sheath for enhancing electric wiring safety of a passenger train and an application method. The nylon buckle type sheath comprises a nylon column body. One end of the nylon column body is arranged as a flange end surface while the other end is a movable end which is arranged in an opening shape, two sets of slots are formed along the axial direction of the nylon column body on the circumference of the movable end, a latch is formed between each group of slots, and a bump is arranged on the portion on the outer side of the circumference of the nylon column body; the nylon buckle sheath also comprises a retainer ring which sleeves the nylon column body, is located below the bump of the latch, and clings to the bottom end of the bump to clamp the movable end of the nylon column body. After the nylon buckle type sheath is mounted and used, the electric wiring safety and reliability of the passenger train can be effectively enhanced. In the aspect of a structural design, fast and convenient actual demands on construction site operation are considered, so that the workload is reduced and the production efficiency is improved.