32 results about "Period Analysis" patented technology

The invention belongs to the field of traffic condition prediction, and relates to a method for discovering a congestion time period based on a composite network. According to the method, a compositenetwork of an intersection network and a sensor network is constructed based on a complex network theory, and a congestion time period in the traffic network can be accurately judged. The method is implemented specifically according to the following steps: firstly, a congestion index Ti, a congestion time period and congestion level quantization are defined, then the congestion time period is calculated through establishing a mapping relation between the intersection network and the sensor network and performing congestion time period analysis, and finally frequent congestion time period analysis is performed. The model established according to the method is simple, the calculation data amount is small, the processing process is concise and clear, the operability and the practicability aregood, and effective implementation is facilitated. Meanwhile, the overall design is ingenious in conception, the required infrastructure are easy to obtain, the prediction process is simple, the application environment is friendly, and the market prospect is broad.

The invention discloses a remote satellite coverage analysis method. The method comprises the steps of firstly, determining a simulation region range during solving satellite coverage characteristic, wherein an orbital parameter of a satellite and types and imaging modes of sensors carried on the satellite can be used; secondly, dividing the simulation region range into lattices with equal area by a geometric topology; and finally, dividing satellite coverage characteristic analysis into two types of problems: satellite coverage characteristic analysis (time period analysis) within a stipulated time period and satellite coverage characteristic analysis (full coverage analysis) of the completely-covered analysis region, and displaying the satellite coverage characteristic through two-dimensional visualization. By the remote satellite coverage analysis method, multi-satellite networking and high-space multidate observation can be satisfied, and a high-accuracy coverage characteristic report is provided within a short time.

The invention discloses a trap evaluation method for a heterogeneous thin sandstone interbed oil reservoir. The method comprises the steps of (a), carrying out stratum correlation and classification and sedimentation environment research through combination of well logging information, well drilling and logging information, coring information and seismic inversion data, and moreover, obtaining hydrocarbon source rock evolution data through utilization of geochemistry information; (b), obtaining reservoir characteristics through combination of the stratum correlation and classification, sedimentation environment research and the hydrocarbon source rock evolution data; (c), carrying out seismogeology comprehensive calibration, fracture explanation and growth period analysis, tectonic level tracking, tectonic evolution analysis and tectonic trap analysis in sequence according to seismic data; (d), carrying out hydrocarbon accumulation research through combination of the reservoir characteristics according to a tectonic evolution analysis result; and (e), carrying out final favorable trap evaluation. According to the method, the problem that in the prior art, later period reserve volume recalculation and exploratory well deployment work of a heterogeneous interbed old oil field are difficult to develop effectively is solved, and a purpose of providing a heterogeneous trap later period evaluation method for the old oil field is realized.

The invention provides a power operation data monitoring and communication analysis system. The system is characterized by using data acquisition terminals arranged on a high voltage distribution station, a low voltage distribution station and each power monitoring point to collect power operation data and carry out real-time tracking on the data; based on the data which is collected and tracked in real time by a power operation data acquisition unit, carrying out monitoring, and when the collected and tracked data exceeds a threshold value, emitting an alarm prompt; and classifying and storing the data collected and tracked by the power operation data acquisition unit and the data monitored by a power operation data real-time monitoring unit and forming a power operation database so as to provide a basis for the later-period analysis management deployment of the power operation data. The power monitoring data can be sent to a power management person in real time, and the data can beused to form analysis data so as to guide the power management person to well deploy a power plan and form a power management decision.

The invention belongs to the field of agricultural remote sensing, and particularly relates to a cotton remote sensing monitoring method based on phenological analysis. The cotton remote sensing monitoring method comprises the steps of: combining regional cotton spectral signature analysis and interferencing crop phenological analysis, and making cotton identification key time phases clear; acquiring a remote sensing image of a key phenological period, and preprocessing the remote sensing image; performing multi-scale segmentation on a multi-time-phase image, constructing classifiers in a layered manner, and extracting cotton information primarily; performing secondary segmentation on a cotton information primary result and possible mixing and separating objects, combining cotton spectralfeatures and texture features to construct a classifier, removing mixing and separation, and supplementing cotton information omitted in extraction; and merging extracted cotton information subclasses, outputting and drawing a graph. The cotton remote sensing monitoring method based on phenological analysis realizes automatic extraction of cotton planting information through combining phenological period analysis of cotton and interferencing crops with a layered classification method based on the remote sensing image, fully considers the spectral difference and texture features of the cottonand interferencing crops, makes the cotton planting information extraction result more precise and rapid, and is easy to popularize and use.

By detecting the specific frequency component included in an alarm sound by a frequency analysis and a period analysis, even under a noisy and echo environment, a reliable, almost-no-false-detecting and small-sized abnormality detection device, which can detect the alarm sound, can be realized and then an integrated security system can be realized.

The invention discloses a pre-operation simulation system for a power distribution network and a simulation analysis method. The simulation system comprises a quick simulation starting module, a pre-operation execution module, a pre-operation analysis module and an analysis result display module. During simulation analysis and summer peak load period analysis, simulation operation is performed according to a scheduling operation scheme and is subjected to distribution network load flow calculation and distribution network risk assessment, the change of relevant power distribution network electrical amount caused by the simulation operation and the increased or decreased power network operating risk are displayed through a pre-operation simulation screen in contrast to a real-time interface screen, the result information of influence on the safety, reliability and economy of a power network after pre-operation is provided, and an aid decision is provided for a scheduler.

The invention discloses a method for identifying use states of household appliances, and relates to an electricity utilization judging method. At present, it is necessary for family members to masterthe use states of the household appliances in real time so as to obtain daily work and rest laws and physical conditions of old people. The method comprises the following steps: an intelligent socketacquires electricity utilization information of electrical equipment connected with the intelligent socket in real time; the intelligent socket sends the electricity utilization information to a system cloud monitoring platform; the system cloud monitoring platform acquires the electricity utilization information sent by the intelligent socket, and analyzes the electricity utilization information;and an abnormal message is sent to a user associated with the electric equipment according to abnormal message database data, and the use states of the household appliances are identified. Accordingto the technical scheme, the use states of the household appliances are identified through time period analysis, time length analysis and comprehensive judgment, so that whether persons under guardianship are normal at home or not is analyzed, and the analysis accuracy is high.

The invention discloses a signal processing method based on the PPG heart rate measurement technology. The signal processing method includes the steps that a color video is obtained, and a video frame sequence is extracted; all video frames of the video frame sequence are subjected to image processing, and efficient areas of the video frames are determined; according to the efficient areas of the video frames, effective signals are extracted, and noise reduction processing is carried out; signals obtained after noise reduction are subjected to period analysis, and heart rate statistic values are obtained. In addition, the invention provides a signal processing device based on the heart rate measurement technology. The signal processing device comprises an obtaining module, an image processing module, an extracting module, a noise reduction module and an analyzing and processing module, the image processing module is respectively connected with the obtaining module and the extracting module, and the noise reduction module is respectively connected with the extracting module and the analyzing and processing module. According to the signal processing method, measurement signals obtained under multiple disturbed conditions such as movement, lamplight and noise are subjected to pertinence treatment, the signal obtaining accuracy is greatly increased, the application range of the PPG technology is widened, and accurate working in various environments can be achieved.

The invention discloses a visualized liquid-liquid diphasic loop experiment device, which is characterized by comprising a liquid storage tank, an outlet valve, a centrifugal pump, a temperature transmitter, a pressure transmitter, a charging system, an acrylic observation pipe segment, an upper inclination pipeline, a backflow system and data acquisition system which constitute a closed experiment loop. The experiment system is designed according to shear stress similar principle and accords with the hydrodynamics dynamic characteristics. The charging system can realize a liquid-liquid original state of any water content; the observation and recording of the flowing characteristics of the oil-water diphasic flow at the horizontal segment, the bended pipe and the upper-layer pipe segment are performed through an acrylic pipe; and the collection and the later period analysis of the related parameters of the experiment process are performed through a data collection system consisting of the temperature transmitter, the pressure transmitter and a pressure difference transmitter at the upper-layer pipe segment. The invention is used for the solar power generating system.

The invention provides a multi-telemetry parameter analysis window division method for a spacecraft. By analyzing the multi-telemetry parameter association cycle, the reference parameters are selected to obtain division features, and the accurate division on the time scale of the multi-parameter analysis window is realized. The present invention divides the analysis window by the reference division feature of the telemetry parameter, instead of using a fixed or sliding window for division, avoids the window offset caused by factors such as space environment or channel transmission, and realizes the accuracy of the analysis window of the telemetry parameter segmentation, which improves the accuracy of subsequent feature extraction and diagnostic detection. The invention synchronously divides a plurality of telemetry parameters through the reference parameters, realizes the window alignment on the time scale, enhances the analyzability of the telemetry data, and is more conducive to analyzing and mining the association relationship among multiple parameters.

The invention discloses a household electrical appliance use frequency optimization method based on mass data acquired by an intelligent socket, and relates to an electricity utilization judgment method. At present, an intelligent socket is mainly based on remote control, which is single in function, and cannot achieve the effect of optimizing the use frequency of household appliances. The methodcomprises the following steps: an intelligent socket acquires power consumption information of electrical equipment connected with the intelligent socket in real time; the intelligent socket sends thepower utilization information to a system cloud monitoring platform; the system cloud monitoring platform acquires the power utilization information sent by the intelligent socket and analyzes the power utilization information; and an abnormal message is sent to a user associated with the electric equipment according to the abnormal message database data, and analysis is carried out to obtain thepower utilization state of the corresponding user, so as to optimize the use frequency of the household appliance. According to the technical scheme, the power utilization state of the correspondinguser is obtained through time period analysis, frequency class analysis, comprehensive judgment and analysis, so that good living habits of the user are cultivated, and the use frequency of householdappliances is optimized.

The invention relates to a comprehensive electric charge and electric quantity acquisition management technology for low-voltage users in an electric power system, in particular to a periodic electric charge settlement management system for low-voltage users in an electrical power system. The periodic electric charge settlement management system comprises a remote meter reading period processing module, a remote meter reading success rate analysis module and a remote meter reading period analysis module, and is characterized in that various automated remote meter reading systems are combined; the optimal remote meter reading period value can be selected according to the conditions of each remote meter reading system; the resources of the automated remote meter reading systems are fully utilized; the advantages of the automated remote meter reading systems are brought into play, the remote meter reading period is shortened as much as possible, and the remote meter reading frequency and efficiency are enhanced, thereby providing a good operation basis for electric power enterprises and providing an optimal operation basis for improving the profit-making ability, management efficiency and service level of the electric power enterprises; and simultaneously, a virtual electronic account device can be provided for clients, so that the users can make payment for electric charge in time so as to prevent power failure caused by back charge, and the users also can monitor own ammeters to get the service condition of the electric quantity, thus economic losses can be prevented and the service level is improved.

The invention discloses a CPU (central processing unit) load testing method for equipment in a DCS (distributed control system), and relates to the field of nuclear power plants. Two continuous voltage values comprising a voltage value V are searched from waveform voltage values of a rising edge and falling edge of each waveform period of the tested equipment respectively, a higher voltage value is taken as a hopping point of the rising edge or falling edge, time at a coordinate point of the higher voltage value is acquired, and the hopping point of the rising edge is subtracted from the hopping point of the falling edge to obtain the CPU load time of the equipment. In the method, waveform period analysis over the whole tested equipment is realized by utilizing a computer, so low error and high efficiency are achieved; the environment of the tested equipment and influence caused by the tested equipment are taken into full account, and waveform hopping is judged based on adjacent data comprising a high level, so accuracy is high; and a final result is represented by percentage so as to be convenient to compare.

The invention discloses a long-distance test apparatus for humidity of power electronic equipment. The test apparatus for humidity of power electronic equipment comprises a humidity sensing unit with an insulation sheath, a group of double-core shielded twisted pair, a multivibrator circuit, an optical coupling isolation processing circuit, an electro-optical conversion circuit, a transmission unit, a photoelectric switching circuit and a data collector; the humidity sensing unit is used for conversing the humidity of operation environment of the power electronic equipment to capacitance parameter CP, the multivibrator circuit is used for outputting a periodic square wave voltage signal according to the capacitance parameter CP for reflecting the operation environment humidity of the power electronic equipment obtained by twisted pair transmission; the photoelectric switching circuit is used for reducing a light square wave signal to the square wave electric signal; the data collector is used for performing real-time collection of the square wave electric signal, and the period of the voltage signal for reflecting the operation environment humidity of the power electronic equipment is obtained, and the operation environment humidity of the power electronic equipment can be obtained according to the period analysis of the voltage signal.

The double-parameter cell cycle analysis method separates cell cycle into six fine parts. Mouse anti-human cell cycle protein E monoclonal antibody, mouse anti-human cell cycle protein A monoclonal antibody and calf serum albumin liquid are mixed to constitute mixed antibody, and the mixed antibody and the mixed liquid of propyldine iodide and ribonuclease are utilized to dye various cells, including normal cell and tumor cell, to be analyzed, the cell is fluorescent detected with flow cell instrument to obtain the 2D cell cycle protein E+A contour line diagram to show six colonies in Go cycle, early G1 cycle, late G1 cycle, S cycle, G2 cycle and M cycle. The said method has less detection error and saving in cell amount and has guide significance in the analysis and treatment of tumor.

The invention is suitable for the technical field of molecular biological information detection, and provides a detection method and device. The method comprises the following steps of: obtaining result data which is obtained through carrying out high-throughput sequencing on samples; carrying out statistic on a probability set of contamination rates of the samples by adoption of a Bayes method according to the result data; and determining the contamination levels of the samples according to the probability set. According to the method and device provided by the invention, the correct detection for the sample contamination levels of samples of high-throughput sequenced data is realized, the difficulty and uncertainty caused by carrying out sample pollution control before sequencing are avoided, and the correctness of later-period analysis results is greatly improved.

The invention relates to a power generator excitation system data collecting instrument based on an ARM (advanced RISC machine). The power generator excitation system data collecting instrument is characterized by comprising an ARM processor, wherein the ARM processor is connected with a storage unit, at least one path of interface is outwards expanded from the ARM processor, the path of interface is connected with excitation equipment through a MODBUS bus, and the ARM processor is also connected with an industrial Ethernet interface. The power generator excitation system data collecting instrument has the main function of collecting data of power generator excitation equipment, and the data is sent to a remote data center through the Ethernet for being used for analysis, prediction and fault diagnosis. The power generator excitation system data collecting instrument also has another function of providing a black box recording function. A concrete measure comprises the steps that when the power generator excitation system fails, the power generator and the excitation information is recorded in real time, and is stored into a local SD (secure digital) card to be used for later-period analysis.

The invention discloses a phased array ultrasonic detecting method of a weld joint of an aluminum alloy welded shell, and relates to the technical field of welding of the aluminum alloy welded shell,in particular to a quality detecting technology of the weld joint. Phased array probes are adopted for linear scanning in the direction perpendicular to the weld joint along a straight pipe weld joint. The preferential detecting scheme for selecting various parameters of the corresponding phased away probes according to the maximum thickness of a detected welded pipe is put forward, and the aims of convenience, rapidness, accuracy and later-period analysis convenience are achieved.

The invention discloses a WRF-based weather simulation method and system and a readable storage medium, the modes are judged according to different weather simulation requirements, different modes areadopted for simulation, the weather simulation precision can be improved, and the simulation processing speed can be increased. And by dynamically adjusting the long-period analysis coefficient and the short-period analysis coefficient, the simulation effect is closer to the actual numerical value when the high-precision simulation requirement is met. According to the invention, the simulation effect is corrected in the simulation process, so that the simulation effect is more real.

The invention relates to the technical field of information security, in particular to an abnormal behavior detection method and device. The problem that in the prior art, the false detecting rate andthe loss detecting rate are high is solved. The method mainly comprises the steps that business behavior data of a target object is obtained and then subjected to Fourier transform, frequency information and first amplitude information of the business behavior data are obtained; according to the frequency information, a to-be-used evaluation model of the target object is obtained; according to the frequency information and the to-be-used evaluation model, second amplitude information of the target object is obtained; if a difference value of the first amplitude information and the second amplitude information is larger than a first threshold value, it is determined that the business behavior of the target object is an abnormal behavior. Accordingly, different models are adopted for different business behavior data types and frequency, and pertinence is better achieved; meanwhile, period analysis and Fourier frequency domain analysis are adopted, fluctuation interference is filtered out, and then the false detecting rate and the loss detecting rate are lowered.

The invention provides a user travel period analysis method, relates to the technical field of geographic information, and solves problems of difficult evaluation and failure of realization of comprehensive analysis and determination by a conventional user position analysis method. The method includes: arranging Unicom user signaling records in an ascending order according to the time sequence; determining a resident base station of each Unicom user in each period by employing classified discussion; defining a day as a travel period and an end period, calculating the distance between a base station and the resident base station in each record each day of a certain user by regarding an idle resident base station as the travel start base station position and the travel end base station position, selecting a time point with the earliest time from the travel start period as the travel start time point, and selecting a time point with the latest time from the travel end period as the travel end time point; and distinguishing weekdays and weekends, performing statistics by days and accumulating and collecting the statistics by months, and taking the mode of the travel start time point and the mode of the travel end time point as the final travel start time point and the final travel end time point so that the analysis of the travel period of the user is realized.

The invention relates to an RCS fluctuation period analysis research method based on power spectrum estimation. The method comprises steps that RCS analysis expression vector values of different pointsource targets are acquired; the indirect method is utilized to solve the power spectral density, and power spectrum density estimation is utilized to solve a fast fluctuation period; the fluctuationperiod law of the point source targets is analyzed. Different point source target analysis fluctuation periods are acquired through angle change, through analyzing the cutoff frequency of the power spectrum, the fast fluctuation period of the target RCS changing with the angle is obtained, the power spectral density of a signal reflects the magnitude of the signal power per unit band and is a function of frequency, and the power spectrum reveals the useful information such as periodicity implied in the signal.

The invention discloses a polymer injection benefited oil well lifting process technology matching mode optimizing method and device, and belongs to the technical field of oil exploitation. The methodincludes the steps that based on the corresponding lifting process matching scheme under each lifting process technology matching mode of an oil well, one-time input cost and single-well daily maintenance cost under each lifting process technology matching mode are determined, oil well production data is combined to obtain profit and loss balance period analysis basic parameter values, the profitand loss balance period value and the production input-output ratio of the oil well under each lifting process technology matching mode are calculated, and the lifting process technology matching mode with the lowest production input-output ratio is obtained. By means of the economic analysis and evaluation mode, the production input-output ratio is used for comparison to obtain the optimal lifting process technology matching mode, the adaptability and economic feasibility of the oil well lifting process are improved, artificial experience intervention is avoided, the calculation method is convenient, the analysis process is simple, and the polymer injection benefited oil well lifting process technology matching mode optimizing method is suitable for all oil production technical engineersto conduct analysis and application.