40results about How to "Reduce the difficulty of data processing" patented technology

The invention discloses a method for detecting a random access leader. After a random access channel (RACH) signal is treated with the simplified time domain-related operation, noise mean estimation is carried out to each root sequence; an absolute threshold is then detected according to a signal obtained by the noise estimation and signals in a search window are detected; the signals which exceed the detection threshold are screened and then a timing position can be determined in a fast and accurate way so as to provide reliable uplink timing adjustment information to a mobile terminal, guarantee the accuracy of the uplink synchronization and effectively eliminate the timing error due to the over-sampling and reduce the false alarm in the detection.

The invention discloses a common optical path combined optical field spectral imaging method and a common optical path combined optical field spectral imaging device. Target radiation information is projected into and passes through a main lens, after being modulated by an optical filter array arranged in the main lens, the target radiation information is divided by a beam splitter prism so as to obtain two optical paths, namely, a transmission optical path and a reflection optical path, wherein the transmission optical path realizes high spectral resolution optical field imaging with a detector A through a microlens array, the reflection optical path directly conducts high spatial resolution panchromatic imaging through a detector B, the high spectral resolution optical field imaging information and the high spatial resolution panchromatic imaging information are sent by the detector A and the detector B to a computer for image registration and reconstitution, and the high spatial resolution and high spectral resolution image is obtained by adopting a multi-source data fusion rule. The device has the advantages of simultaneously obtaining the complete spectrum image information and high spatial resolution image information of the target, having a simple structure and light weight, and being miniaturized.

The invention discloses a random access detection device and a detection method in a TD-LTE (Time Division-Long Term Evolution) system. The device comprises a data extraction unit, a Fourier transform unit, a spectrum shifting unit, a local root sequence generating unit, a relative detection unit and a threshold detection unit, wherein the data extraction unit is used for extracting base band data; the Fourier transform unit is used for carrying out discrete Fourier transform on extracted data to obtain a frequency domain signal; the spectrum shifting unit is used for carrying out spectrum shifting on the frequency domain signal to obtain a frequency domain signal after the spectrum shifting; the local root sequence generating unit is used for generating N1 local frequency domain root sequences according to a logical root number broadcasted in broadcast information; the relative detection unit is used for carrying out relative frequency domain detection on the frequency domain signal after the spectrum shifting and the local frequency domain root sequences to obtain N1 time domain relative values; and the threshold detection unit is used for detecting and judging the time domain relative values according to a set threshold value, judging whether a terminal is allowed to be accessed into the system or not and calculating timing advance. The device and the method can be used for quickly detecting a random access precursor in the TD-LTE system, thereby greatly reducing the computation complexity and improving the operation efficiency.

The invention discloses a multi-agent fully-distributed active disturbance rejection time-varying formation control method. The multi-agent fully-distributed active disturbance rejection time-varyingformation control method is based on a multi-agent system which is composed of N autonomous second-order isomorphic agents. The multi-agent fully-distributed active disturbance rejection time-varyingformation control method uses an active disturbance rejection control idea for reference, and comprises the steps of: firstly, constructing an active disturbance rejection time-varying formation controller and an action weight self-adaptive updating law based on a self-adaptive control and error feedback control strategy according to interaction weights and formation state errors of the agents; adopting an extended state observer to determine disturbance compensation; adopting a tracking differentiator to generate a time-varying formation instruction; further providing a completely distributedcontrol gain design method; and finally providing the multi-agent fully-distributed active disturbance rejection time-varying formation control method. The multi-agent fully-distributed active disturbance rejection time-varying formation control method realizes the effect of how to implement active disturbance rejection time-varying formation control on the multi-agent system affected by externaldisturbance in a completely distributed manner, so that the multi-agent system has disturbance suppression robustness while realizing time-varying formation.

The invention provides a foundation pit excavation state monitoring system and method based on laser range finder networking, and belongs to the field of earth excavation. A detection unit comprises multiple laser range finders; the multiple laser range finders are uniformly erected on the side face of a crown beam of an excavated foundation pit or the lower part of a support beam; a first wireless transmission module is packaged in each laser range finder; each laser range finder is use for acquiring earth excavation basic information at a certain time in a certain section, feeding back the earth excavation basic information to a monitoring unit through the first wireless transmission modules, and meanwhile, receiving a remote control command of the monitoring unit through the first wireless transmission modules so as to execute active / passive control commands; and the monitoring unit comprises a second wireless transmission module, a data processing and analyzing module, a networkingcontrol module, a monitoring data display module, a monitoring data storage module and a monitoring and early earning module. According to the foundation pit excavation state monitoring system and method based on laser range finder networking provided by the invention, the speed of acquiring the earth excavation state is fast, the data processing difficulty is low, and the application cost is low.

The invention relates to an electronic element installing method, in particular to an electronic element installing method which is applied to the field of desktop type chip mounters and comprises the steps that an image and recognition features of a suction nozzle are acquired through image capturing devices, and then an electronic element is installed on a printed circuit on the basis of a processing result of image information. According to the electronic element installing method, the rotating trace of the suction nozzle is acquired through a tracing mechanism, the step of optical axis alignment of the part and circuit board image capturing devices is omitted very skillfully, and the problem that the circuit board image capturing device cannot directly obtain the practical rotating center of the suction nozzle is solved; the relative position relation between the practical rotating center of the suction nozzle and an image capturing center of the circuit board image capturing device can be efficiently determined and deviation between the practical rotating center and a designed rotating center can be corrected on the basis that too much cost of an existing desktop type chip mounter structure is not increased, therefore, operating personnel can easily learn, and printed circuit board production chip mounting can be efficiently performed.

The invention discloses a coplanar waveguide ferromagnetic resonance measurement system and method, and belongs to the technical field of microwave systems. The system comprises a coplanar waveguide, electromagnets, a microwave signal generator, a detector, a nanovoltmeter, a current source and a computer. An electromagnetic film material is placed on the coplanar waveguide. The coplanar waveguide is placed in a magnetic field formed by the two electromagnets, one end is connected with the microwave signal generator, and the other end is connected with the detector. The electromagnets are connected with the positive and negative electrodes of the current source and generate a uniform magnetic field under excitation of the current source. The microwave signal generator generates a high-frequency alternating current signal, and the detector converts the intensity of a microwave signal generated after the high-frequency alternating current signal passes through the coplanar waveguide into a voltage signal. The nanovoltmeter detects and records the converted voltage signal and outputs the converted voltage signal to the computer. The computer controls operation of the microwave signal generator, the nanovoltmeter and the current source and receives and records measurement result data. According to the invention, frequency sweep and field sweep measurement of ferromagnetic resonance can be realized at low cost.

The invention belongs to the technical field of communication, particularly to an inter-vehicle communication and data processing method. The inter-vehicle communication and data processing method solves the problems of poor information timeliness and low inter-vehicle distance accuracy in the prior art. The inter-vehicle communication and data processing method comprises the following steps of S1, structuring an inter-vehicle communication and data processing system; S2, mounting sensors, recording vehicle information and structuring vehicle models; S3, searching for and locking target vehicles; S4, determining inter-vehicle position relations, and broadcasting voice or issuing alarm. The inter-vehicle communication and data processing method is high in timeliness and capable of effectively reducing inter-vehicle traffic accidents and improving inter-vehicle rescue efficiency.

The invention provides a myoelectric signal acquisition device and an acquisition processing method thereof. The myoelectric signal acquisition device comprises a surface facing electrode and a signal conditioning circuit for processing myoelectric signals, wherein the signal conditioning circuit is connected with an MCU and also comprises a myoelectric signal storage unit connected with the MCU; the myoelectric signal conditioning circuit comprises a high-pass filter, an amplifier and a low-pass filter which are connected in sequence, and acquired myoelectric signals are subjected to high-pass filtering, amplifying and low-pass filtering and then transmitted to the MCU; and electrodes adopt Ag and / or AgCl surface electrodes, one electrode is composed of three Ag and / or AgCl electrodes parallel to each other, the intermediate electrode serves as a reference ground end, and the two electrodes at two sides are composed into a differential input end. Compared with the prior art, the acquisition environment interference is avoided, and the data processing difficulty is low; and batteries are used for supplying power, thereby avoiding the interference of easy leading-in of external wires.

The embodiment of the invention provides an in-loan risk prediction method and device, which can be used in the technical field of artificial intelligence, and the method comprises the steps: inputting prediction data of a target user into a preset in-loan risk prediction model, and determining an in-loan risk prediction result of the target user according to the output of the in-loan risk prediction model, wherein the prediction data comprises behavior characteristic data and in-loan risk scoring data acquired by applying an in-loan behavior scoring card model; and outputting an in-loan riskprediction result of the target user. According to the invention, on the basis of ensuring the accuracy of risk prediction in loan, the acquisition efficiency and reliability of the input data for therisk prediction model in loan can be effectively improved, and the data processing difficulty and data calculation amount in the risk prediction process in loan can be effectively reduced; and thus,the intra-loan risk prediction period can be effectively shortened and the acquisition efficiency of the intra-loan risk prediction result can be improved.

The invention discloses an intelligent instrument and meter management system, comprising a central processor, wherein the central processor is in input connection with a water meter information processing system, an electricity meter information processing system, a gas meter information processing system and an environment information processing system; the water meter information processing system, the electricity meter information processing system, the gas meter information processing system and the environment information processing system are electrically in input connection with A / D conversion modules; the four A / D conversion modules are electrically connected to data receiving modules; the four data receiving modules are electrically connected to data collecting modules; and the four data collecting modules are electrically connected to an intelligent water meter, an intelligent electricity meter, an intelligent gas meter and an environment monitoring unit in sequence. The invention has the advantages of simple structure design, reduces the labor intensity in the reading process of meters such as water meter, electricity meter and gas meter, and facilitates real-time observation during the use of meters such as water meter, electricity meter and gas meter.

The invention discloses a fish tank automatic feeding device and method. The fish tank automatic feeding device includes a fish-finding sonar and a feeding device; the feeding device includes a motor,a food storage tank, feeding rolling wheels, and a fixing device; the food storage tank is positioned above the feeding rolling wheels; a feed adding opening is formed in an upper part of the food storage tank, and a funnel is arranged on a lower part of the food storage tank; a lower end of the food storage tank is connected to a horizontal hollow cylinder; a feeding opening is formed in the bottom of the hollow cylinder; the feeding rolling wheels are positioned in the hollow cylinder; the hollow cylinder is evenly divided by blades, and the blades tightly contact an inner side of the hollow cylinder; a sonar emitter floats in a fish tank, and a sonar receiver and a sonar processor are positioned on one side of the electronic motor; the feeding rolling wheels are driven by the electronic motor, and operation of the electronic motor is controlled by the fish-finding sonar. The fish tank automatic feeding device and method can quickly acquire a motion trail map of fishes through sonar, and can accurately determine a state where the fishes are located; the fish tank automatic feeding device is easy to operate and is high in practicability; an SLIQ (Supervised Learning In Quest) method is adopted to process different data types and formats of information, and the difficulty of data processing is lowered; an SVM model can improve the detection precision and the working efficiency.

The invention relates to a comfort-based vehicle optimization method and system. The method comprises the following steps: S1, obtaining road surface data of a to-be-optimized road section and historical vehicle data when a vehicle runs on the to-be-optimized road section; s2, extracting historical vehicle data at different speeds, and obtaining an upper limit value and a lower limit value of objective comfort at different speeds according to the historical vehicle data and the road surface data; s3, acquiring historical subjective comfort data of passengers driving the vehicle at different speeds on the to-be-optimized road section; s4, comparing the historical subjective comfort data at different speeds with the upper and lower limit values of the objective comfort, and obtaining the optimal speed range of the to-be-optimized road section; and S5, acquiring real-time speed information of a vehicle driving on the to-be-optimized road section, and reminding the vehicle speed according to the optimal speed range. Compared with the prior art, the method has the advantages of high accuracy, good optimization effect, high efficiency and the like.

The invention discloses a system and method for dirt retention detection and cleaning reminding of car windshields. The system comprises a shell and a diffuse reflection surface, wherein the diffuse reflection surface is attached on the outer side of a windshield; the shell is mounted on the inner side of the windshield; the shell comprises a left cavity, a right cavity and an illumination cavity;an LED light emitting diode a is arranged at the bottom of the left cavity; a light intensity reference photoelectric sensor is arranged beside the LED light emitting diode a; a light barrier is clamped at the lower part of the left cavity; a semi-permeable mirror a is obliquely arranged above the light barrier; a horizontal cavity is formed on one side of the semi-permeable mirror a; a transmitting photoelectric sensor is arranged in the horizontal cavity; a reflecting photoelectric sensor is mounted at the top of the left cavity; and a transmitting glass thin film is arranged at the front end of the reflecting photoelectric sensor. The system and method are capable of realizing dirt retention detection, cleanliness detection and windshield cleaning reminding.

The invention discloses an intelligent leakage detection robot and a detection method for detecting a leakage point of a liquid filling pipeline. The intelligent leakage detection robot comprises a shell, a control module and a sensing device, the sensing device adopts a magnetic field sensor and / or a plurality of pressure sensors. According to the robot and method, the hardware is simple, the data processing difficulty is relatively low, and the leakage point in the liquid filling pipeline can be conveniently found and positioned.

The invention relates to a cloud-based intelligent vegetable planter environment precise monitoring system characterized by comprising an environment monitoring module, a controller, a data transmission network, a mobile terminal and a cloud platform. The invention also relates to a cloud-based intelligent vegetable planter environment precise monitoring method comprising the following steps of: 1) acquiring environmental temperature and humidity raw data; 2) transmitting the data to the cloud platform through the data transmission network; 3) storing, by the cloud platform, the acquired raw data in a database module; 4) processing, by the cloud platform, the raw data by a data fusion algorithm; and 5) transmitting the processed precise data to the mobile terminal through the data transmission network. The cloud-based intelligent vegetable planter environment precise monitoring system and method are scientific and reasonable in design, contribute to acquiring and analyzing the temperature and humidity data of the vegetable planter, and realize accurate monitoring and processing of the data.

The application discloses a non-contact comprehensive detection method and system of railway bridge conditions, including: acquiring dynamic characteristic parameters of railway bridges through an acceleration sensor installed on a track detection vehicle; using a laser ultrasonic probe installed on the track detection vehicle to send out The laser is irradiated to the surface of the rail to draw the sound pressure distribution map of the apparent defect of the rail; the time-reversal algorithm is used to reconstruct the photoacoustic image of the apparent defect of the rail; the modal decomposition method is used to extract the features containing the information of the apparent defect of the rail parameters; the support vector machine is used to classify the apparent defects of the rails and determine the internal damage degree; according to the obtained dynamic characteristic parameters, the classification results and the determined internal damage degree combined with the historical data of the railway bridge condition, the operation status of the railway bridge is evaluated. . This effectively avoids arranging sensors on railway bridges, reduces the difficulty of data processing, reduces the labor intensity of manual detection, and saves detection costs.

The invention relates to an image style migration method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-processed image; performing image down-sampling processing on the to-be-processed image to obtain a down-sampled image; inputting the down-sampled image into a pre-trained style migration network to obtain a style migration feature map; using the pre-trained style migration network for converting an original image style in the down-sampled image into a target image style; and performing super-resolution processing on the style migration feature map to obtain a target style image. According to the invention, the image stylized migration efficiency is improved on the premise that the stylized migration effect is almost not lost.

The invention discloses a method for constructing a multi-energy load situation perception model of a regional integrated energy system, and the method can effectively improve the prediction precision of a load situation prediction stage through employing an MCNN-LSTM load situation prediction method considering load feature fusion on the basis of pixel reconstruction, thereby enabling the optimization scheduling accuracy of the integrated energy system to be improved. The energy consumption requirement of a user side can be met; and meanwhile, the multi-energy cooperation and multi-energy coupling efficiency of the integrated energy system is higher, and the energy utilization rate and the operation economy of the regional integrated energy system are improved. According to the multi-energy load situation awareness technology of the regional integrated energy system, the data processing difficulty in the load situation understanding stage can be effectively reduced by adopting the time domain feature expansion random forest algorithm, so that the time required by the load situation awareness process can be reduced, load prediction can be carried out more timely, and the load awareness efficiency is improved. The flexibility of optimal scheduling of the integrated energy system is improved, and unnecessary waste of energy is reduced.

The invention discloses a multi-agent fully distributed active disturbance rejection time-varying formation control method. The multi-agent system based on the method is composed of N autonomous second-order isomorphic agents. Firstly, according to the agent interaction weight and formation state error, based on the adaptive control and error feedback control strategy, the ADRC time-varying formation controller and the action weight adaptive update law are constructed, and the extended state observer is used to determine the disturbance compensation. A tracking differentiator is used to generate time-varying formation instructions, and then a fully distributed control gain design method is given. Finally, a multi-agent fully distributed active disturbance rejection time-varying formation control method is given. The invention realizes how to implement the time-varying formation control for the multi-agent system affected by the external disturbance in a fully distributed manner, so that the system has the robustness of disturbance suppression while realizing the time-varying formation.

The invention discloses a simple detection method of the molecular weight of a synthetic antigen. A standard curve is drafted through gel chromatography, and the standard curve is used to detect the molecular weight of antigen molecules. The detection method of the molecular weight of the synthetic antigen can be applied to detect the synthetic antigen, antibodies and protein macromolecular substances, and the detected molecular weight range is 16-150 kDa. Coupling proportions of micro-molecules and proteins in the synthesis process can be reckoned by detecting the molecular weight of the synthetic antigen and combining the molecular weights of the coupled proteins and micro-molecules. Compared with present detection methods, the method disclosed in the invention has the advantages of simplicity in operation, extremely small data processing difficulty, and reliable detection result. The method can be used to separate substance components with different molecular weights and calculate the molecular weights, and is especially suitable for detecting mixed macro-molecular substances.

The invention discloses a balance force-measuring device used for a high-pressure sealed transverse jet flow effect test. The force-measuring device of the balance adopts a rod-type balance. The central axis of the rod-type balance is provided with a mandrel. The central axis of the mandrel is provided with an airflow channel. The front end of the airflow channel is connected to high-pressure air, and the rear end of the airflow channel is connected to the rear model The horizontal jet nozzle; the mandrel is set with the front balance, the supporting beam and the rear balance in sequence from the front to the back; two diagonal contact bearings are installed between the front balance, the rear balance and the mandrel; the front balance and the rear balance are five-component measurement The force balance measures the normal force, pitching moment, lateral force, yaw moment and rolling moment of the front model and the rear model respectively. The force-measuring balance can ensure the accurate measurement of the aerodynamic characteristics of the aircraft in the state of jet flow effect under the premise of good dynamic sealing performance, which further improves the refined development level of the aircraft.

The present application relates to a diaphragm quality detection device, which includes a frame, a working plate installed on the frame, and a thickness gauge installed on the frame for measuring the thickness of an object placed on the working plate. The instrument includes light emitting device, light sensing device and data processing system for processing information and displaying results. of light. The present application has the characteristics of improving the efficiency and precision of measuring the quality of the diaphragm when detecting the quality of the diaphragm, thereby improving the efficiency of judging whether the quality of the diaphragm is qualified or not.

A detecting method of random access preamble includes: carrying out the noise average estimating and the absolute threshold calculating to the time domain RACH signal of the selected local root sequence, wherein the signal is obtained by time domain correlating processing the preamble part of random access channel RACH; selecting an undetected available searching window as the current searching window among the available searching windows corresponding to the selected local root sequence, detecting the time domain correlation values in the current searching window to obtain detecting result values, and judging the detecting result values and their corresponding time domain positions according to preset selecting terms to confirm the timing position of the RACH preamble signal. The method determines the timing position rapidly and precisely, provides the mobile terminal with reliable uplink timing adjusting information, guarantees the accuracy of uplink synchronization, effectively eliminates the timing error caused by over sampling, and reduces false alarms in the detection.

The invention provides a dynamics simulation optimization method and device of a heavy haul train, and is applied to a dynamics simulation system of the heavy haul train. The method comprises the following steps: obtaining calculation frequencies required within simulation step size time in simulation; judging whether the calculation frequencies required within the simulation step size time are greater than a preset operation frequency upper limit for operating the computer of the simulation system or not; and if the calculation frequencies required within the simulation step size time are greater than the preset operation frequency upper limit for operating the computer of the simulation system, optimizing the calculation frequencies of air braking force to cause an optimization result to meet a requirement that the calculation frequencies required within the simulation step size time is smaller than the operation frequency upper limit of the computer. On the basis of the method, the calculation frequencies of air braking force are optimized to lower data processing difficulty and realize the instantaneity and the data synchronization of the dynamics simulation calculation of the heavy haul train.

The invention discloses a gas transmission trunk line valve chamber combustible gas detector arrangement method, and belongs to the technical field of oil and gas pipelines. The method comprises the following steps that a station yard gas quality analysis cabin is used for collecting natural gas components conveyed by a gas conveying main line and pipeline operation parameters; calculating natural gas physical property parameters according to the natural gas component information and the pipeline operation parameters; calculating the leakage rate of each component of the natural gas under the working condition of valve chamber leakage; and according to the calculated leakage rate, a suggested installation mode of the combustible gas detector in the valve chamber is given in combination with natural gas physical property parameters. According to the arrangement method of the valve chamber combustible gas detector, the defect that a detection blind area possibly exists or the detection time is greatly prolonged when the valve chamber combustible gas detector is arranged only according to standard specification suggestions in the prior art is overcome, and the safe operation level of a gas transmission main line valve chamber is improved.

The invention belongs to the field of medical examination and gene chips, and provides a high-throughput gene chip for detecting splicing conditions of nucleic acid fragments and a preparation method of the high-throughput gene chip. The application method of the gene chip comprises the following steps: carrying out reverse transcription on a sample RNA to obtain double-stranded cDNA, carrying out in-vitro transcription to obtain cRNA, adding a fluorescence label, hybridizing the cRNA with a probe on the chip, and carrying out comparative analysis according to the probe position and fluorescence intensity distribution when the chip is designed to obtain the splicing condition of the sample. Compared with the existing whole exon / whole genome detection, the detection cost and the data processing difficulty required by the method are greatly reduced.

The invention provides an electric amplifier based on frequency detection. The electric amplifier comprises an LC feedback resonant structure, an operational amplifier and an LC balancing structure, wherein the operational amplifier comprises an inverting input end, a non-inverting input end and a balanced output end, two ends of the LC feedback resonant structure are separately connected with theinverting input end and the balanced output end, and a negative feedback network is formed between the inverting input end and the balanced output end; the LC balancing structure is connected with the non-inverting input end; the LC feedback resonant structure is used to select signals with a specific frequency from received signals; the operational amplifier is used to provide transconductance gains for the signals with the specific frequency; and the LC balancing structure is used to perform balance matching on bias currents of the non-inverting input end and the inverting input end. According to the electric amplifier based on frequency detection provided by the invention, the frequency of the selected current signals is in in a low-noise frequency band of the amplifier.

The invention relates to a stage central control system based on cloud service, which comprises a stage central control system, the input end of the stage central control system is provided with a monitoring data acquisition unit, and the output end of the stage central control system is provided with a stage equipment protection unit and a stage control execution unit. The input end of the stage central control system is provided with a central data processing device, the central data processing device is connected with a wireless communication unit, and the wireless communication unit is connected with an upper computer. The control system adjusts stage lighting, loudspeakers, audios, background videos, monitoring and actor follow-up components, ensures the integrating degree of stage performance atmosphere and actor performance, increases stage performance appeal, establishes connection with the cloud service module through the wireless communication module, and improves the performance experience of the stage. And the remote control end can store, call and change an operation instruction for the control end through the cloud service module, so that the control on the operation component of the control end is ensured.