158results about How to "The conclusion is accurate" patented technology

The invention relates to a method for identifying extra-high voltage direct current transmission line area inside and outside fault wavelet energy. The method comprises the following steps of: starting a starting element when a direct current fails and selecting bipolar direct current voltage data detected at a protection installation part after 5 ms of the fault, wherein the direct current voltage data are a discrete signal with sampling frequency of 100 kHz and sample sequence length of 500; finding out a direct current system line-mode voltage for four layers of wavelet decomposition by utilizing the bipolar direct current voltage so as to obtain low frequency coefficients and high frequency coefficients of the wavelet decomposition at different scales; and finding out wavelet high frequency energy from first scale to fourth scale and wavelet low frequency energy at the fourth scale according to the definition of wavelet energy of the signal at a certain scale, finding out the ratio of the wavelet high frequency energy to the wavelet low frequency energy, and comparing the size of the ratio of the wavelet high frequency energy to the wavelet low frequency energy so as to distinguish the inside faults and the outside faults. A large amount of simulation results show that the invention has good effect.

A method for controlling a zonally operated elevator installation, wherein on a changeover floor changing between zones is made possible, and wherein with a delivering elevator group and a collecting elevator group transportation to and from the changeover floor is realized, and wherein a trip destination is entered via a destination-call control by each passenger to be transported. An elevator installation for zonal operation in buildings with several elevators, wherein each elevator group contains at least one destination-call input device for registering the destination of a passenger. Each elevator is assigned to an elevator group, the building is divided into zones, and a changeover floor for changing between the elevator groups is arranged between the zones. The delivering elevator group and the collecting elevator group are combined into a multi-group which is controlled by a multi-group control. Using the trip-destination entries and a statistics unit, the number of passengers who will change from the elevator group on the changeover floor is determined by the multi-group control. The elevator groups are controlled by the multi-group control depending on the number of changing passengers.

The invention provides an extra-high voltage direct current line boundary element method adopting polar wave wavelet energy ratio, belonging to the technical field of relay protection of electric power systems. The method comprises the following steps: when the direct current line has fault, computing the anode line polar wave voltage and the cathode line polar wave voltage according to the direct current voltage and direct current of the two poles measured in the relay location; selecting the discrete polar wave voltage signal with sampling sequence length of 200 after fault to undergo wavelet transform to obtain a series of high/low frequency polar wave voltage wavelet transform parameters and computing the modules of the high/low frequency polar wave voltage wavelet transform parameters; computing the ratio of high/low frequency energy of polar wave voltage after extracting the high/low frequency components of polar wave voltage according to the obtained modules; and distinguishingthe area fault from the out-area fault according to the ratio of high/low frequency energy. Lots of simulation results show the method has good effect.

A Collaborative Deep Network model method for pedestrian detection includes constructing a new collaborative multi-model learning framework to complete a classification process during pedestrian detection; and using an artificial neuron network to integrate judgment results of sub-classifiers in a collaborative model, and training the network by means of the method for machine learning, so that information fed back by sub-classifiers can be more effectively synthesized. A re-sampling method based on a K-means clustering algorithm can enhance the classification effect of each classifier in the collaborative model, and thus improves the overall classification effect. By building a collaborative deep network model, different types of training data sets obtained using a clustering algorithm are used for training a plurality of deep network models in parallel, and then classification results, on deep network models, of an original data set are integrated and comprehensively analyzed, which achieves more accurate sample classification.

According to the present invention, there is provided a documentation system including an augmenting mechanism that elicits more accurate conclusions through the analysis of entered information and predetermined criteria. The present invention also provides for a method of documentation based upon the augmenting mechanism and a method of augmenting to calculate more accurate conclusions based upon all entered information and related predetermined criteria. Additionally, the present invention includes a software program for operating the documentation system and method for the operation of the augmenting mechanism. The present invention provides for a computerized documentation entry system for determining more accurate conclusions including a software program having an augmenting mechanism and a graphic user interface for displaying, accessing and interacting with users of the documentation system. Preferably, the present invention is directed towards a system, software program, and method for accurately and completely determining payment reimbursement in the health care field.

A method for distributing map material in situations where there are many different kinds of maps of the area. The location of the user of a terminal device is positioned by a positioning method and the maps presented to the user are then selected based on the location. The user selects one or more of the maps for a closer review and loads the selected maps on the terminal device. Then, the user may be directed by the navigation function of the terminal device.

The invention relates to a single-phase permanent fault recognition method for an extra-high voltage AC transmission line using S transform energy. The method comprises the following steps: after fault occurs to an AC line, selecting a disperse voltage signal of which the recovery voltage sampling sequence length is 1,800 after the fault, and performing S transform to obtain a 901*1,800 time frequency complex matrix; and operating modulus of each element in the complex matrix to obtain the energy value under each frequency point. As too many frequency ranges are not good for recognition, every 9 rows from the 2nd row to the 901st row to obtain a 101*1 matrix, the 901 frequency ranges are integrated into 100 frequency ranges, and the frequency of each frequency range is 50 Hz. The single-phase permanent fault is judged according to the size of the first frequency range, namely the 50 Hz frequency range. A large number of simulation results indicate that the effect of the method is good.

The invention provides an extra-high voltage direct current transmission line boundary element forming method based on a support vector machine (SVM). The method comprises the following steps: when the direct current line has fault, computing the anode line polar wave voltage and the cathode line polar wave voltage according to the direct current voltage and direct current of the two poles measured in the relay location of the line; selecting the discrete polar wave voltage signal of the fault pole, with sampling sequence length of 200, after fault to undergo S transform to obtain a 101*200 time-frequency complex matrix and computing the modules of elements in the complex matrix; computing the energy values corresponding to the first 20 frequencies according to the modular matrix obtainedthrough S transform, sticking tag values to the energy values as the characteristic quantity and inputting the characteristic quantity to the SVM to be trained; and distinguishing the area fault fromthe out-area fault according to the training result of the SVM. Lots of simulation results show the method has good effect.

The invention belongs to the technical field of pavement of marine riser facilities, and particularly relates to a test method and a device. By the aid of the test method and the device, internal flow and top tension can be effectively applied during analog study of a marine riser vortex induced vibration law, and influences of the internal flow to the dynamic property of marine risers are tested. When in marine riser vortex induced vibration test study by the aid of the test device applying the internal flow and the top tension and the test method realized by the device, the top tension with the known intensity is continuously applied, and the intensity of the internal flow and the intensity of external flow are respectively changed, so that the influences of the internal flow to the dynamic property of the marine risers are determined by a strain gauge and a fiber bragg grating testing method. During the analog study of the marine riser vortex induced vibration law, the influences of the internal flow to the dynamic property of the marine risers can be tested, so that accuracy of a marine riser vortex induced vibration model test is improved, and an accurate test conclusion can be obtained.

An extrusion conveying device having an extruder for the mixing of components, in particular a rubber mixture or TPE. A volumetrically operating conveyor, especially a gear pump, is disposed at the output side of the extruder. A subsidiary conveyor supplies to the extruder at least one component having a marker substance. A detection device for the marker substance is disposed on the output side of the extruder and/or the volumetrically operating conveyor for detecting the distribution quality of the marker substance. A control device is coupled to the detection device for adjusting the speed of the extruder and/or the volumetrically operating conveyor in response to the detected distribution quality of the marker substance detected by the detection device.

The invention discloses a measurement system based on a machine-intelligence-prediction multi-parameter fiber sensor. The system is composed of a distributed fiber temperature sensing system, a distributed fiber vibration sensing system, a distributed fiber strain sensing system and a cloud platform. A signal input terminal of the cloud platform is connected with signal output terminals of the distributed fiber temperature sensing system, the distributed fiber vibration sensing system, and the distributed fiber strain sensing system. The cloud platform includes a cloud memory and a cloud calculator. In addition, the invention also discloses a machine intelligence prediction method based on multi-parameter measurement fiber sensing.

The invention relates to a method for observing a magnetic field of a material volume, in particular for determining properties of a workpiece under, in particular, magnetic, mechanical, thermal, and/or electrical excitation of a material volume of the workpiece, wherein the magnetic field of the material volume is sensed as a function of time and of frequency with high frequency resolution.

The invention relates to a method for determining fingerprint chromatography of radix astragali and ligusticum wallichii extract products, which comprises the following steps: 1)taking Radix Astragali and Ligusticum wallichii extract product fine powder, preciously weighing, adding methanol, performing ultrasonic extraction, filtering and drying a filtrate, dissolving residue by ethanol and metering volume, filtering by a filter membrane, taking a subsequent filtrate to obtain a tested object solution; 2)taking a ferulic acid reference substance, a senkyunolide I reference substance, a calycosin glucoside reference substance, an ononin reference substance, a calycosin reference substance and a fermlononetin reference substance, preciously weighing, respectively adding methanol to prepare a reference substance solution; and 3)respectively and preciously absorbing the tested object solution and the reference substance solution, and injecting a high efficiency liquid chromatography for determining to obtain the fingerprint chromatography of radix astragali and ligusticum wallichii extract products. The method has active effect for guiding clinical medication and effective feeding guidance to the bulk drugs during the production process, and ensuring the reliable quality; the method has the advantages of convenient and fast operation, so that similarity result can be obtained, the quality of the traditional Chinese medicinal materials radix astragali and ligusticum wallichii extract products can be evaluated, and the result is objective and accurate.

The invention discloses a method for quickly and accurately evaluating the quality stability of a cigarette product. The method comprises the steps of collecting GC-MS chromatograms of more than 10 batches of cigarette products which have the same brand specification as that of the cigarette product to be detected and are purchased in the proper way by a purge trap-gas chromatography-mass spectrometer combination method, and averagely acquiring a chromatograph fingerprint of the cigarette of the brand specification by stacking; collecting the GC-MS chromatograms of a batch of cigarette samples to be detected, and analyzing the similarity between the GC-MS chromatograms of a batch of cigarette samples to be detected and the chromatograph fingerprint of the cigarette of the brand specification by a relevant coefficient method, and judging the cigarette products with the similarity being greater than or equal to 90 percent to be cigarette products with stable quality and the cigarette products with the similarity being smaller than 90 percent to be cigarette products with unstable quality. The method has the advantages of simplicity in operation treatment, high spectrum specificity, quickness and accuracy in conclusion making, and the like.

The invention discloses a method for establishing a fingerprint spectrum of Taohe Chengqi decoction composition and the fingerprint spectrum and belongs to the field of analysis of traditional Chinese medicine. According to the method, the fingerprint spectrum of the Taohe Chengqi decoction composition is established with high performance liquid chromatography, the chromatographic conditions are as follows: a chromatographic column adopts octadecylsilane chemically bonded silica as a filling agent; a detecting instrument adopts an ultraviolet detector, and detection wavelength of the fingerprint spectrum is 210-250 nm; the flow velocity is 0.9 ml/ml-1.1 ml/ml, the column temperature is 25-35 DEG C, the detection wavelength is 210-250 nm, the number of theoretical plates ought not to be lower than 3000 through calculation in accordance with a catechinic acid peak, and a flowing phase is a methanol-0.1% phosphoric acid solution which is used for performing gradient elution on a system according to a following elution sequence shown in the specification. The fingerprint spectrum reflects quality information of the Taohe Chengqi decoction comprehensively, so that the quality of the Taohe Chengqi decoction can be controlled more comprehensively and more effectively.

A device is provided for preventing a collision between a pivoting element of a vehicle, with an obstacle located in its pivoting area, with a control unit which controls the pivoting movement of the vehicle pivoting element and with a lighting device which is coupled to the pivoting movement and emits light into the pivoting area. Depending on the reflection of the emitted light on the obstacle the control units intervenes in the pivoting movement.

The invention discloses an establishment method for a cascading failure analysis model of a power CPS (Cyber Physical System) based on a cellular automaton. The method is used for carrying out cascading failure analysis on a power system. The method comprises the following steps of S1, establishing an information network topology of the power CPS; S2, carrying out cellular operation on all elements in the power CPS, and determining a state conversion form among cells, wherein after the cellular operation is carried out on the elements in the power CPS, the elements comprise physical cells andinformation cells; S3, establishing a physical cellular automaton model and an information cellular automaton model; and S4, fusing the physical cellular automaton model and the information cellular automaton model, and determining a power CPS cascading failure model according to a coupling mode and coupling strength. A power system fault result under mutual effect of a power CPS double-layer system, and fault distribution and diffusion condition is output visually.

The invention discloses a quality control method of a peach kernel qi activating decoction composition and belongs to the field of traditional Chinese medicine analysis. The method includes the steps that a peach kernel qi activating decoction fingerprint spectrum is established through high performance liquid chromatography, and chromatographic conditions are characterized in that a chromatographic column adopts octadecylsilane chemically bonded silica as filler; an ultraviolet detector is adopted as a detection instrument, and the detection wavelength of the fingerprint spectrum ranges from 210 nm to 250 nm; the flow rate ranges from 0.9 ml/ml to 1.1 ml/ml, the column temperature ranges from 25 DEG C to 35 DEG C, the detection wavelength ranges from 210 nm to 250 nm, the number of theoretical plates should not be smaller than 3,000 according to calculation of catechinic acid peaks, methyl alcohol serves as a moving phase A, a 0.1% phosphoric acid solution serves as a moving phase B, and gradient elution is carried out according to the following sequence: the gradient condition of elution detection of the fingerprint spectrum is defined in the specification. The fingerprint spectrum comprehensively reflects quality information of a peach kernel qi activating decoction, and therefore the quality of the peach kernel qi activating decoction can be more comprehensively and effectively controlled.

The invention discloses a detection method of a fructus aurantii medicine material fingerprint and a standard fingerprint, and application of the fructus aurantii medicine material fingerprint or the standard fingerprint in identifying a fructus aurantii medicine material. The method includes the steps that firstly, the fructus aurantii medicine material is obtained and smashed into coarse powder and precisely weighed, methyl alcohol is added, extraction is conducted, a subsequent filtrate obtained, and a test sample solution is obtained; secondly, a reference substance solution is prepared; thirdly, the test sample solution and the reference substance solution are precisely sucked and injected into a high performance liquid chromatograph respectively to be measured, and the fructus aurantii fingerprint is obtained. The measurement method is easy and convenient to operate, characteristic components are maintained completely, repeatability and stability are good, precision is high, specificity is high, and the method plays a positive role in guiding production charging and guaranteeing quality reliability. The fructus aurantii medicine material fingerprint built through the method can be effectively used for monitoring the quality of the fructus aurantii medicine material and identifying whether the fructus aurantii medicine material is true or fake.

The invention relates to an assay method of a ligusticum wallichii fingerprint. The assay method comprises the following steps: (1) grinding ligusticum wallichii medicinal materials into medium powder, accurately weighing, adding ethyl alcohol, carrying out ultrasonic extraction, chilling, complementing lost solvent weight, filtering through a microporous filtering membrane and taking subsequent filtrate to obtain a test article solution; (2) preparing a reference substance solution; and (3) accurately sucking up the test article solution and the reference substance solution respectively, injecting into a high-performance liquid chromatograph, and measuring, so as to obtain the ligusticum wallichii fingerprint. The assay method has a positive role in effective feeding guidance of crude drugs in clinical medication and production processes and insurance of the reliability of the quality, and is convenient and fast to operate, so as to obtain a similarity result; the quality of the traditional Chinese medicinal material ligusticum wallichii is evaluated; and the conclusion is relatively objective and accurate.