598results about How to "Guaranteed adaptability" patented technology

System for diagnosis, medical decision support, and healthcare information management that performs analysis of serial health data, adapts to the individual data, and represents dynamics of the most significant parameters (indicators), using at least two scales. The system uses the first-scale (low-resolution) analysis of a snapshot measurement of at least one indicator (primary element) such as heart rate or blood pressure and uses a second-scale (higher-resolution) analysis to determine serial changes in each of the said primary elements. The system optimizes information flow, usage of medical knowledge, and improves accuracy of analysis of serial changes, and adaptability to each individual's data. The information can be distributed in parallel to separate databases at different locations.

A method for configuring a sounding reference signal power control parameter in a time-division duplexing system, for application in a terminal and system and comprising: a terminal determining a power control parameter of a sounding reference signal SRS resource and determining, according to the power control parameter, the transmission power of the sounding reference signal; the terminal transmitting the sounding reference signal SRS according to the determined transmission power of the sounding reference signal SRS; a base station determining the power control parameter used by the terminal on the SRS resource; the base station receiving the SRS signal according to the power control parameter. The embodiments of the present invention also disclose a system for configuring a sounding reference signal power control parameter in a time-division duplexing system, said system corresponding to the described method. The embodiments of the present invention are flexible and can increase TDD uplink resource utilization.

The invention discloses a coupling filler autotrophic denitrification biofilter and application and belongs to the technical field of sewage treatment. Pyrrhotite, sulfur and a carbon source are utilized to be mixed and coupled according to certain proportion; then the materials are put into a reactor, and the autotrophic denitrification biofilter can be formed after inoculating biofilm formation;sewage flows through the biofilter, and nitrogen and phosphorus in the water are removed. The biofilter disclosed by the invention has the advantages of simpleness, easiness, practicability and shortbiofilm formation time; when the biofilter is utilized to treat nitrogen and phosphorus containing sewage, hydraulic retention time is only 0.5 to 3 h, and yielding water can meet a requirement; furthermore, the biofilter has the advantages of excellent nitrogen and phosphorus removal effect, low cost and suitability for engineering application.

The invention discloses a polishing and painting equipment for metal door and window locks, which includes a frame, a first motor is fixedly connected to the top of the inner wall of the frame, and a first cone wheel is fixedly connected to the output shaft of the first motor through a flat key. , the bottom of the first conical wheel is fixedly connected with a second conical wheel, the second conical wheel is fixedly connected with a threaded rod through a flat key, and the top of the inner wall of the frame is fixedly connected with an auxiliary sliding track, the auxiliary An auxiliary slider is slidably connected to the inner wall of the sliding track, and the bottom of the auxiliary slider is fixedly connected to the slider through a connecting rod. The invention relates to the technical field of metal door and window lock processing. The grinding and painting equipment for metal doors and windows locks solves the problem of clamping and grinding workpieces, and can be positioned in different positions. The grinding device can change positions, ensuring the quality and accuracy of grinding and the adaptability to multiple working environments. After grinding The problem of painting and drying the workpiece.

The invention discloses a big data based power load prediction method. The method comprises the steps of step one, providing data information of N periods, obtaining a first power load predictive value of the (N+1) periods through a reinforcement learning load prediction data model directed at same data information and obtaining a second power load predictive value of the (N+1) periods in a data driving mode; step two, performing information fusion on the first power load predictive value and the second power load predictive value through a D-S evidence theory to obtain a final predictive result of the (N+1) periods. By the aid of the method, directed at a power load prediction system containing multiple dimensions and multiple stages of space, time, attributes and the like, a data driving theory based non-model load prediction controller and wavelet neural network based accumulative learning prediction are combined, information fusion is performed on the predictive values through the information fusion technology to obtain an optimal predictive value, and accordingly, the accuracy and the timeliness of load prediction are improved greatly.

The invention relates to a box-packed white wine automatic incasing machine which comprises a case conveying roller way, a machine frame, a box-packed white wine arraying mechanism, a horizontal-moving lifting system, a case propping mechanism, a gripper, a screw rod, a servo motor, two square guide rails and a box-packed white wine conveying chain plate. An incasing platform, the screw rod, the servo motor and the two square guide rails of the box-packed white wine arraying mechanism are respectively arranged on the machine frame. Four sliding blocks of the horizontal-moving lifting system are matched with the two square guide rails arranged at the upper end of the machine frame. One end of screw rod is connected with the servo motor, and a horizontal-moving lifting support of the horizontal-moving lifting system is arranged on the screw rod in a penetrating mode and fixed with the screw rod through a nut. The gripper is connected with the lower ends of two optical shafts of the horizontal-moving lifting system, and the box-packed white wine conveying chain plate and the case conveying roller way are fixed on the ground and matched with the box-packed white wine arraying mechanism, the horizontal-moving lifting system, the gripper and the case propping mechanism to achieve the function of box-packed white wine incasing. The box-packed white wine automatic incasing machine has the advantages of being wide in applicable white wine box type, accurate in incasing positioning, large in transport load, stable in performance and the like, and the difficult incasing problem which troubles the white wine industry for years is solved.

The invention discloses a DIBR (depth image-based rendering) virtual image restoration method applicable to high-definition 2D/3D (two-dimensional/three-dimensional) conversion. The method comprises steps as follows: generating a general background dictionary DB; synthesizing a sparse dictionary DI: constructing a sample dictionary DS in a background area of a video frame image IF, and synthesizing the sparse dictionary DI according to the generated general background dictionary DB and the sample dictionary DS; performing void estimation and classification processing; performing filling restoration processing on each II-class void RHII. With the adoption of the method, through classification processing and sparse dictionary expression, the complexity of calculation is significantly reduced while the 3D virtual image rendering effect is improved, and the method is more applicable to processing of mass video information in high-definition 2D/3D conversion.

The invention discloses a quadruped robot gait control method based on reinforcement learning and a CPG controller. The quadruped robot gait control method comprises the steps that S1, building a single-leg model and an overall model of a quadruped robot; S2, constructing an actor neural network and a reviewer neural network to train the single-leg model; S3, determining a relative sequential relationship between legs of the quadruped robot and constructing a controller model according to leg movement characteristics; and S4, constructing a foot end motion trail model of the quadruped robot from an output signal of the controller model through mapping transformation, and taking the output of the foot end motion trail model as a gait control signal of the quadruped robot to drive the quadruped robot. According to the method, it is guaranteed that legs of the quadruped robot move strictly according to the time sequence, the gait characteristic of mammals is achieved, meanwhile, it is guaranteed that the trunk of the robot is stable in the moving process, the pitch angle and the lateral angle change range is small, and overturning is effectively prevented; the leg movement has self-adaptability, and a complex control and planning algorithm does not need to be artificially designed.

The present invention provides an image adaptive enhancement method based on histogram compactness transformation. The method comprises a step 1 of gathering the gray scale frequency histograms of the input images, and calculating the characteristic values of the image histograms; a step 2 of calculating a search starting point and the left and right reference frequencies; a step 3 of carrying out the histogram compactness transformation; a step 4 of establishing a gray scale mapping relation; a step 5 of carrying out the input image gray scale reconstruction. The method of the present invention considers the own characteristics of the input images, so that the insufficiencies of the enhancement methods, such as a classic linear stretching transformation method, a histogram truncation stretching method, etc., are overcome effectively. Experiments show that the method is obvious in enhancement effect, has good adaptability and practicality, can be widely used for the enhancement of various low contrast images and the high bit wide quantization image-to-low bit wide quantization image conversion processing, and is a rapid and effective image automatic enhancement method.

The invention provides a multi-target economic dispatch method for a power system with a wind farm. The method comprises the steps that first, possible wind power output scenes in a dispatch cycle are generated, and the number of the scenes is reduced to S; second, a mathematical model of the method is built, target functions include total electricity generation cost, power balance levels of all the moments of all the scenes and spinning reserve levels of all the moments of all the scenes, and constraint conditions include output upper limit and output lower limit constraints of thermal power units, climbing rate constraints and the minimum start and shut down time constraints; third, fuzzification processing is carried out by building membership functions of all the target functions; fourth, the minimum values of all the membership functions are obtained to serve as global satisfaction degree indexes; fifth, an economic dispatch result meeting the constraint conditions in the second step and enabling the global satisfaction degree indexes in the fourth step to be maximum is solved. The economic dispatch method is suitable for solving the problems about economic dispatch of the power system with the wind farm and the thermal power units, and a plurality of optimization targets are balanced in a dispatch result.

The invention discloses a method for establishing the algal phase of a shrimp culture pond, microalgae with the dominance of greater than 0.15 is selected from a culture water body, the microalgae is arranged in culture liquid with the nitrogen source concentration of 261 to 338mumol/L and the phosphorus source concentration of 25 to 32mumol/L, the enlarged culture and propagation are carried out under the culture conditions till the microalgae total biomass which is required by the shrimp culture, algae liquid is further introduced into the shrimp culture pond for the shrimp culture: the temperature is 24 to 27 DEG C; the salinity is 21 to 26; the pH is 7.5 to 8.5; the light intensity is 5500 to 7000Lx, and the lighting ratio is 12: 12 to 14: 10. The microalgae ecological environment of the shrimp culture pond is optimized by establishing the algal phase to cause the balanced culture of various types of microalgae, thereby being conductive to avoiding the single biological diversity of the shrimp pond caused by excessive culture of individual microalgae or group disappearance during the culture process and the situations of drastic change of water environment, deterioration of the quality of the environment of the culture water body, and the like.

The invention discloses a method for preparing a modified lignosulfonate water reducing agent with acrylic waste water as a raw material. The method comprises the steps as follows: determining the specific content of acrylic acid, a catalyst and a reducing agent in the acrylic waste water, adding an oxidizing agent into the acrylic waste water for pretreatment, and determining a synthesis ratio according to test results; and placing the lignosulfonate and deionized water in a certain proportion in a flask, stirring and heating the mixture to the temperature of 60-80 DEG C, and after stabilization, having a graft polymerization reaction with the acrylic waste water and small sodium sulfonate monomers under the action of a catalyst and an initiator to obtain the modified lignosulfonate water reducing agent. According to the method, the acrylic acid and ester waste water are used as modified monomers, so that the cost of the modified lignosulfonate water reducing agent is reduced.

The invention relates to a large-scale complex curved surface measurement system and an application thereof. The measurement system comprises a pedestal, a horizontal support, a pitching support, and a computer. The horizontal support is disposed on the pedestal, and the pitching support is connected with the horizontal support. The pitching support is provided with cameras, a laser range finder, and a linear laser emitter. Two sides of the laser range finder are provided with two cameras. The computer is electrically connected with the cameras, the laser range finder and the linear laser emitter. The measurement system obtains image data through point laser positioning, linear laser sampling and the cameras, obtains images in a photographing mode, calculates the actual coordinates of pixels through employing the principle of photogrammetry, and finally carries out the data reconstruction of a complex curved surface in the same coordinate system through data jointing. The measurement system and sampling method simplify the measurement process under the condition of guaranteeing the precision, reduce the measurement times, and greatly improve the measurement efficiency.

A railway-train communication apparatus provided in a railway train secures the adaptability to a transmission path having low signal quality and improves the certainty of data transmission. The railway-train communication apparatus includes a node device 21, which includes converters 31-1 and 31-2 that perform a mutual signal conversion between an HDLC signal flowing through an inter-car networkconstructed between cars of the railway train and an Ethernet (registered trademark) signal flowing through an in-car network constructed in each of the cars and switching hubs 32 arranged between theconverters 31-1 and 31-2 and for respectively connecting the converters 31-1 and 31-2, and network controllers 22-1 and 22-2 that are connected to the switching hubs 32.

The invention relates to an underground intelligent control system, particularly an underground environment multi-cognition solid monitoring decision support system and the method thereof, which can automatically detect the underground environment, adapt the underground environment integrally and achieve the effects of underground environment optimization, management optimization and personnel optimization. The underground environment multi-cognition solid monitoring decision support system comprises an operation management station, an exchanger, a system interface, an area controller, a fire-control monitoring station, a security monitoring station, an automatic control cabinet, a fire-control device and a security device. Compared with the conventional intelligent system, the underground environment multi-cognition solid monitoring decision support system as the multi-cognition solid system and the method thereof are characterized in that: the system and the method are capable of interacting, coordinating and cooperating with other cognition solid systems and humans in various environments; and are applicable to the intelligent control system for the underground construction engineering in the mining enterprises.

The invention discloses a single-crawler type wall climbing robot based on the electrostatic adherence theory, and relates to a wall climbing robot. The invention aims to provide a wall climbing robot which has the advantages of large range adapting to wall surface materials, low noise, smaller volume, small electrostatic adherence device self weight and high moving speed. Flexible aluminum plated film crawlers are adopted as a walking device and an adherence device of the robot. One end of a slide base plate is overlapped with one end of a slide guide plate, and the base plate is connected with an end part of the slide guide plate. One end of a spring is connected with a guiding and positioning rod piece, while the other end is connected with an end part of the slide guide plate. The other end of the slide base plate is perpendicularly connected with the middle part of a driving wheel supporting frame main body of a driving wheel supporting frame, and the other end of the slide guide plate is perpendicularly connected with the middle part of an inducement wheel supporting frame main body of an inducement wheel supporting frame. The wall climbing robot has the advantages of large range adapting to the wall surface materials, low noise, smaller volume, small electrostatic adherence device self weight and high moving speed, and has board application prospect in the aspects of anti-terrorism detection, high building detection and so on.

The invention discloses a high-precision servo press fitting method based on a computer, and relates to the field of automation control. The collecting pressure is dynamically compensated according to collected pressure values and a pressure change trend, adaptive control is performed on an elastic workpiece by combining with a displacement sensor and a pressure sensor, therefore, the pressing accuracy and pressure control stability for the elastic workpiece are improved, the phenomenon that elastic workpiece pressing is unqualified due to the fact that in a traditional technology, the pressure is too large or the actual pressing pressure is slightly smaller cannot occur, and the workpiece quality is guaranteed; meanwhile, due to the fact that the influence of interfering data is greatly eliminated, the adaptability of the pressure control method in different processing environments can be guaranteed.