79 results about "Single indicator" patented technology

Embodiments of the present invention are directed to an optical sensor capable of measuring two analytes simultaneously with a single indicator system. In preferred embodiments, the sensor comprises a fluorescent dye having acid and base forms that facilitate ratiometric pH sensing, wherein the dye is further associated with a glucose binding moiety and configured to generate a signal that varies in intensity with the concentration of glucose.

The invention relates to a line loss level evaluation method based on power grid characteristic difference. According to the method, line loss influence integrated factors such as the natural condition, the network structure, the power utilization structure and the power grid operating characteristics of each province or city or county are led in, an original single index only with the line loss rate numerical value size taken into account is changed into an index system which is composed of various indexes affecting line loss, considering the impact of all the indexes on the line loss rate, different weights are set, comprehensive calculation, analysis and evaluation are conducted, so that a scientific index system and evaluation criterion is established, and thus the advancement of the power grid line loss level evaluation method can be guaranteed. According to the line loss level evaluation method based on power grid characteristic difference, the traditional method that the line loss rate size is purely used for evaluating the line loss level before can be broken through, the quantitative evaluation method of the line loss level of a power grid at the same level is provided, the loss reduction potentiality of the power grid is exploited to the maximum degree, and thus the line loss management level of the power grid is improved.

A multi-parameter aggregative indicator forecasting method of a coal petrography dynamic disaster is suitable for forecasting coal petrography dynamic disasters such as outburst of coal and gas and rock bust of coal and gas in a coal mine excavating process. When various index prediction methods are coupled in the same monitoring system, problems such as how to select importance degrees of various indicators and how to determine a critical value of the various indicators are produced. According to amplitude values of four indicators including electromagnetic radiation, slight shock, acoustic emission and gas density, an average value of the amplitude values in a normal level and the maximum value of the amplitude values of the four indicators when the coal petrography dynamic disasters happen at any moment, the multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster determines a single indicator hazard index of the four indicators at the moment. The value of single index hazard index determines single index weights of the four indicators, and therefore an aggregative indicator hazard index of the four indicators is calculated, and finally a danger class of the coal petrography dynamic disaster which happens in an excavating roadway is determined according to the value of the aggregative indicator hazard index. The multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster provides a critical value determination method and an early warning standard for the research and development of a multi-parameter monitoring system of the coal petrography dynamic disaster.

The invention discloses an XLPE cable insulation aging state determining method. The method includes firstly, determining whether aging exists or not by means of the partial discharging amount of a first cable sample, if not, calculating the isothermal relaxation current according to a second cable sample, acquiring aging factors, calculating the activation energy of XLPE according to a third cable sample, adopting the aging factors and the activation energy of XLPE as common criterion, and acquiring whether aging of the cable to be tested exists or not and the severity of the aging state. The cable insulation aging state can be determined by the isothermal relaxation current method and the activation energy method comprehensively, the defect that large determination errors are produced since the XLPE insulation cable aging state is determined by one single indicator is overcome, the more accurate estimation of the XLPE cable insulation aging state is provided by combining the electric quantity (aging factors) and non electric quantity (activation energy), and the method is simpler.

A wireless terminal includes an uplink rate option indicator in the same uplink channel segment with data, the rate option indicator providing transmission rate information about the data transmitted in the segment. The indicator value is represented by an energy pattern within the segment. Different energy patterns correspond to different indicator values. The number of indicator values is less than the number of possible uplink data rate options supported by the wireless terminal. A single indicator value represents different uplink data rate options, at different times, as a function of a received maximum data rate option and / or type of assignment message. The maximum data rate option and / or assignment message was transmitted by the same base station receiving the indicator value; therefore, there is no ambiguity between wireless terminal and base station as to the interpretation of the uplink data rate option indicator value with respect to an individual uplink segment.

A self-service terminal (10) having a simplified user interface (20). The user interface (20) contains a plurality of indicators (28) for entering data, where each indicator (28) has a unique attribute, such as size, shape, color, surface texture, or the like. Each indicator is associated with a pre-defined transaction, so that a user may execute a desired transaction by selecting a single indicator (28). A method of executing a transaction is also described.

Embodiments of the present invention are directed to an optical sensor capable of measuring two analytes simultaneously with a single indicator system. In preferred embodiments, the sensor comprises a fluorescent dye having acid and base forms that facilitate ratiometric pH sensing, wherein the dye is further associated with a glucose binding moiety and configured to generate a signal that varies in intensity with the concentration of glucose.

The invention discloses a spontaneous combustion classification early warning and active classification prevention and control method for mine coal. The method comprises the steps that (1), downhole environmental data is collected; (2), whether ethylene occurs in a downhole coal seam or not is judged; (3), whether the ratio of the change amount of carbon monoxide concentration and the change amount of oxygen concentration is less than the oxidation threshold value or not is judged; (4), whether to start the mine coal spontaneous combustion first-level early warning and implement active first-level prevention and control or not is determined; (5), the mine coal spontaneous combustion first-level early warning and active first-level prevention and control are carried out; (6), the mine coalspontaneous combustion second-level early warning and active second-level prevention and control are carried out; (7), the mine coal spontaneous combustion third-level early warning and active third-level prevention and control are carried out; (8), whether the real-time ratio of ethylene concentration value and ethane concentration value in the downhole coal seam reaches the maximum value or notis judged; and (9), the mine coal spontaneous combustion fourth-level early warning and active fourth-level prevention and control are carried out. The method uses multiple gas indexes to consider therelationship between the change of oxygen concentration and the degree of spontaneous combustion of coal, and avoids an early warning method by means of single index gas, comprehensively and quantitatively analyzing the degree of spontaneous combustion of the coal is achieved, and the accuracy of the early warning is improved.

The invention belongs to the technical field of Chinese patent medicines, and relates to a quality control method for a Xuefuzhuyu capsule prepared from traditional Chinese medicinal materials. In the quality control method, Chinese thorowax root and licorice root are utilized as comparison medicinal materials, and whether the formula of the Xuefuzhuyu capsule contains Chinese thorowax root and licorice root components is identified by means of thin-layer chromatography; and amygdalin (c20h27no11), paeoniflorin (c23h28o11) and naringin (c27h32o14) are used as comparison products, and the contents of the amygdalin, paeoniflorin and naringin in the formula of the Xuefuzhuyu capsule are determined by means of high performance liquid chromatography. By utilizing the quality control method provided by the invention, the situation in the original standards that the quality of compound prescription is controlled by controlling the content of a single indicator component is changed, and the controllability of the quality standards of the Xuefuzhuyu capsule is improved, so as to further ensure the inherent quality and curative effect of products; and the revised quality standards are improved, and the quality control of the Xuefuzhuyu capsule is improved.

The invention provides a motor rotation-clogging state protection method and device, and electronic equipment. The protection method comprises steps that power limiting parameters of an electric driving system, and the rotating speed, the output torque and the current of the motor are collected in real time; the power limiting parameters at least comprise the temperature of an IGBT module, temperature difference of the IGBT module and the rotation-clogging depth of the motor; whether the motor enters a rotation-clogging state or not is determined according to the rotating speed, the output torque and the current of the motor; if yes, for each power limiting parameter of the electric driving system, a limit coefficient value corresponding to the current power limit parameters of the electric drive system is determined by using the pre-established corresponding relationship between the power limit parameters and the limit coefficient, a required torque value of the motor is corrected byusing the minimum limit coefficient value to obtain a target torque value, and the output torque of the motor is set as the target torque. The protection method is advantaged in that a problem that torque adjustment is not timely in a rotation-clogging protection method based on a single index in the prior art can be effectively solved.

The invention relates to a WebShell detection method. A web log generated by a web server accessed by a user is preprocessed, an IP field in the web log is used as the unique identifier of the accessuser to calculate the intrusion access frequency and the maximum access continuity, and adopt the N URLs having the maximum value as the URL of the suspected WebShell, and then a suspected attack IP is acquired by carrying out the location in the Web log, and the suspected attack IP is transmitted to the security server in a form of a file, and the security server is used to review the corresponding attack time according to the suspected WebShell and the access IP, and at last, an attack behavior can be collected and output. According to the invention, attacks and even non-dynamic webpage attacks can be effectively detected, and a problem of a parsing result difference is prevented, and therefore detection of various browser attacks can be realized, a problem of a high false alarm rate caused by detection of a single index is prevented, and effective detection of unknown WebShell also can be realized.

The invention provides a part supplier multi-target preferable selection method orienting bearing manufacturing enterprises. The degree of capacity of each expert is acquired from historical samples through a neural network training method by considering objective difference of the experience levels and the knowledge levels of different experts; the degree of capacity of the experts is introduced and then a multi-order fuzzy rough set integrated analytic hierarchy process with combination of an analytic hierarchy process in which fuzzy numbers replace accurate numbers and rough sets is provided so that combined processing of multiple experts for multiple part suppliers on the score result of a single indicator is realized; a multi-weight information integration model is established, and integration weights of the evaluation indicators are solved; and the part suppliers are ranked according to the indicator value of each evaluation indicator and the integration weights of the indicators of multiple part suppliers, and the optimal part supplier is obtained.

The invention discloses a method for evaluating the flavor stability of beer. Evaluation indexes of the flavor stability of the beer cover the expression of a series of indexes which can reflect the flavor stability of beer, namely free radicals for reflecting the aging violent degree of the beer, furfural for reflecting thermal loads in the brewing process, 3-(methylthio)propionaldehyde for reflecting the control level of amino acid in the malting process, phenylacetaldehyde for reflecting oxygen loads in the brewing process and trans-2-nonenal for reflecting the fresh degree of raw materials. Compared with single indexes, a flavor stability index (FSI) is a relatively high evaluation index for beer at different aging stages and beer of different qualities and brands. The FSI index for reflecting the flavor stability of the beer is comprehensively refined from an angle of free radical chain reactions covering most of aging reactions in the beer and an angle of a key aging substance influencing the flavor of the beer. The index avoids the one-sidedness of single detection indexes, can intuitively and effectively reflect the flavor stability of the beer, and overcomes the disadvantages of subjectivity and unavailable quantization which are caused by sensory evaluation.

The present invention discloses a method for evaluating a comprehensive indicator of the operation of a power supply enterprise. The present invention designs an indicator system for evaluating the operation of the power supply enterprise. Based on the general evaluation method that only considers the completed value of the indicator, the change trend of the indicator is increased; the trend scoreand the operation score of the single indicator are respectively calculated according to the weight of the indicator; weighting is carried out according to a certain proportion to obtain a comprehensive score of the indicator; and finally, the comprehensive score of all indicators is superimposed to calculate the comprehensive indicator of the operation of the power supply enterprise. The overalloperating state of the company is evaluated in the form of an indicator; the overall evaluation indicators of the department and the subordinate units are used to decompose and display the operatingstate of each business line; and the advantages and weaknesses of operating condition are presented to form an effective monitoring mechanism, so that an effective entry point is provided for the operation and management of the power supply enterprise while improving enterprise key risk response capabilities.

The invention discloses a method for screening radiation-damaged biomarkers at the early stage of a rat and an application. The method comprises the following steps of firstly adopting the rat as an animal model, utilizing radiation metabonomics method, adopting a gas chromatography-mass spectrum (GC-MS) combined technology to research the influence of acute ionizing radiation on the change of metabolites of the rat plasma; then utilizing a genetic algorithm (GA) and univariate statistics to analyze and find out potential radiation-damaged biomarkers; finally using the biomarkers for early-stage injury classification of radiation damage by combination with a multivariate statistic analysis method--non-linear iterative partial least square method (KPLS). The invention has the advantages that by adoption of the technical scheme, injury classification can be carried out on a great amount of radiation-exposing crowds in ionizing radiation accidents in a short time so as to have an important significance in early-stage diagnosis and prevention of dysfunction or death of organs; the biomarkers are used for studying the classification of radiation-damaged injuries, so that the limitation of single index for estimation of radiation-damaged dosage is overcome.

The invention discloses a system for carrying out video monitoring automatic alarm on switch cabinet single indicator lamps, switches and knob states of a substation. Through application of various image recognition algorithms of color, texture, shape and space relationship features, functions of carrying out automatic analysis and abnormal alarm on substation monitoring are realized. The system comprises video image recognition algorithms, video transmission and compression algorithms, and research of automatic analysis and abnormal alarm methods of the video monitoring. According to the system, the ultimate purpose is that the automatic analysis and abnormal alarm are carried out on the substation monitoring by the video image recognition algorithms and the video transmission and compression algorithms. The defect of delayed reaction resulting from manual slack is thoroughly solved. Online automatic recognition is carried out on the substation video monitoring contents, thus discovering various abnormal conditions timely, and the operation security level and automatic level are improved.

The invention discloses a method for rapidly and conveniently detecting work fatigue, and belongs to the field of detecting the work fatigue, aiming at overcoming the shortcomings of a conventional detection method which has a single indicator and a long detection duration and is in lack of objectivity. A plurality of sighting marks are adopted for detection; the frequency of each sighting mark drops from a high frequency to a low frequency and then increases to the high frequency, with a same frequency changing rate, different times of beginning to change and random orders of beginning to change. In a detection process, an order, that each sighting mark begins to flicker / not flicker, pointed by a detected object, a critical flicker fusion frequency and a response time are recorded. It can judge whether current data are valid or not in accordance with the sighting mark order pointed by the detected object and can judge the fatigue of the detected object in accordance with the critical flicker fusion frequency and the response time. According to the method disclosed by the invention, the objectivity and the accuracy of acquiring visual neurobehavioral function data can be improved and the learning effect of the detected object can be reduced. Detected data can be conveyed to and stored in a database, so as to further analyze visual neurobehavioral functions; therefore, the fatigue status of the detected object can be analyzed from both transverse evaluation and longitudinal evaluation.

The invention relates to a method for identifying drainage oil based on a finger-print technology, belonging to the field of quality and safety detection of agriculture products. According to the traditional method for identifying the drainage oil, basically, traditional morphological identification and physical and chemical identification are used for identifying the authenticity of the drainage oil and evaluating the good and bad of the drainage oil, so that the traditional method has more human factors, or only concentrates on the individual component of many complex components but neglects many other components in the drainage oil. According to the method for identifying drainage oil based on the finger-print technology, infrared spectroscopy (IR), ultraviolet-visible spectrum and gas chromatography-mass spectrum (GC-MS) are respectively used for establishing a finger-print database, the fatty acid component of an oil sample to be identified is analyzed, and the drainage oil product is identified accurately by combining the result of relative degree of unsaturation (U / R) of the specificity components myristic acid and fatty acid of the drainage oil. Therefore, the problem that the drainage oil is identified only through a few single indexes but cannot be identified completely and accurately at present is solved, furthermore, the established finger-print database is easy to maintain, and the method has good identification accuracy and repeatability, and has a high practical value.

The invention discloses an automobile driver fatigue detection method and a system. The automobile driver fatigue detection method comprises the following steps: acquiring driver driving state pictureinformation, wherein the driving state picture information comprises driver head state information and driver hand state information; The driving state picture information is converted into data information by using a feature extraction method to obtain the driver's face feature parameters and the driver's hand motion feature parameters; Taking the driver's facial characteristic parameters and the driver's hand motion characteristic parameters as inputs of a BP neural network model to obtain a driver's fatigue level; Displaying a fatigue level of the driver. The selection of the invention cannot only overcome the shortcomings of the single index in detecting the driving fatigue degree, eliminate the misjudgment and missed judgment when the single index fails, but also improve the accuracy of identification.

Provided herein is a method and system for providing and analyzing unified data signaling that includes setting, or analyzing a state of a single indicator signal, generating or analyzing a data pattern of a plurality of data bits, and signal, or determine, based on the state of the single indicator signal and the pattern of the plurality of data bits, that data bus inversion has been applied to the plurality of data bits or that the plurality of data bits is poisoned.

The invention discloses a method for predicting raw material processing suitability based on BP artificial neural network, which comprises the following steps: selecting a single index of a processedproduct used for evaluating the raw material processing suitability, and determining a plurality of indexes of related raw materials according to the single index of the processed product; taking manyindexes of raw materials as variables, processing technology and parameters as quantitative raw materials processing, recording and sorting historical data to form samples; taking the raw material index data of the training sample set as the input layer and the single index data of the processed product of the training sample set as the output layer, the model is trained to the artificial neuralnetwork model to be stable performing optimization of artificial neural network model; predicating single indicator of processed products. The invention can relate raw material index and processed product quality, and has high accuracy while seeking complex non-linear correspondence between variables objectively, qualitatively or quantitatively, and can realize predicting processed product qualityqualitatively or quantitatively based on raw material index.

The invention belongs to the technical field of traditional Chinese medicinal preparation quality control, and concretely discloses a Kangshen granule fingerprint construction method. The method comprises the following steps: preparing a sample solution and a reference substance solution, determining high performance liquid chromatography conditions, and determining fingerprint; and the high performance liquid chromatography conditions are as follows: octadecylsilane chemically bonded silica is adopted as a filler, the detection wavelength is 270-290 nm, the column temperature is 20-40 DEG C, the flow velocity is 0.8-1.2 ml / min, a mobile phase is composed of a mobile phase A and a mobile phase B, acetonitrile is adopted as the mobile phase A, 0.5-1.5% of a formic acid-water solution is adopted as the mobile phase, and linear gradient elution is carried out. The Kangshen granule fingerprint constructed in the invention is formed by chromatographic information of multiple common peaks, a technology for controlling the quality by using a single index component is changed, and the substance of the granule is systemically and comprehensively reflected, so comprehensive and effective quality control is realized, and the established method good precision, repeatability and stability, and can be used for controlling the inner quality of the Kangshen granule.

The invention provides a multi-target optimizing control method and system for an intelligent electric vehicle. The method comprises the steps that a driving safety target function, a passenger comfort level target function and a driving accuracy target function are established respectively according to the demands in three aspects of driving safety, passenger comfort level and driving accuracy ofthe intelligent electric vehicle; a mathematical model which allows performance targets to reach the optimum simultaneously is constructed according to the constraint conditions of an intelligent electric vehicle system; performance indicators of three aspects of the driving safety, passenger comfort level and driving accuracy of the intelligent electric vehicle are converted into a single indicator, and multi-target planning controlling model resolving is conducted by adopting a Pareto optimal multi-target optimization algorithm to obtain the optimal value. The control method and system havethe advantages that the contradiction among the driving safety, the passenger comfort level and the driving accuracy is solved by constructing a multi-target optimizing problem.

The invention discloses a real-time fault detecting method and a system of a diaphragm pump one-way valve, and is applied to the technical field of mechanical fault diagnosis. A vibration acceleration sensor is mounted at the upper end of a valve chamber shell of the diaphragm pump one-way valve; fault characteristic information of the diaphragm pump one-way valve is extracted by using vibration acceleration signals, and complicated fault multi-source information of the one-way valve is simplified, so that the fault detecting efficiency is improved; meanwhile, the invention provides a method for comprehensive judgment by using vibration signal waveform attenuation, dispersion and energy multiple indexes, so that the wrong judgment probability of final result caused by wrong judgment of single index is reduced, and the fault detecting accuracy of the diaphragm pump one-way valve is improved. In addition, the method can reduce the operation economical costs of enterprises to a certain extent.

The invention discloses a method for differentiating multiple types of metal ions through single indicator. The method comprises the following steps of 1, mixing metal ion indicator with surfactant, or mixing the metal ion indicator with a NaOH aqueous solution, so that the single indicator is obtained; 2, mixing the single indicator with different metal ion aqueous solutions separately, collecting images obtained before and after mixing, and extracting color change data of the images obtained before and after mixing; 3, mixing the metal ion aqueous solution to be detected with the single indicator, collecting color change of the images before and after the metal ion aqueous solution to be detected is mixed with the single indicator, and comparing the color change with the color change data obtained in step 2, so that the categories of the metal ions in the metal ion aqueous solution to be detected are obtained. By means of the method for differentiating multiple types of metal ions through the single indicator, multiple types of metal ions in the aqueous solution can be rapidly detected.

The invention discloses a bathtub failure curve based hydroelectric unit deterioration evaluation method. The method takes full account of a bathtub failure path of a unit from installation to final extended service. Three different deterioration models are adopted to evaluate single indicators, so that early, middle and late deterioration degrees of the unit can be accurately characterized by different indicators of the unit. Meanwhile, family defects, inspection records and other site data are considered, and variable-weight weighted calculation is performed on indicators of various aspects, so that the comprehensive deterioration degree and grade of the unit are finally obtained, and maintenance decision and extended service running of the unit is guided. The method can effectively evaluate the deterioration degree of the hydroelectric unit, and has very good economic benefits and engineering values.

The invention discloses an application of a substance for detecting the content of a serum angiopoetin-like protein 2 (angptl2) in preparation of a product for detecting hepatitis and fibrosis degree. Experiments find out that the content of the angptl2 in serum has correlation with the hepatitis degree and fibrosis degree of a chronic hepatitis B virus infected patient, the content of the angptl2 can be used as a noninvasive single indicator for judging the hepatitis degree and fibrosis degree, the substance for detecting the content of the serum angptl2 or a substance for detecting other common clinical indicators of hepatopath can be combined together to prepare the product for detecting the human hepatitis degree and / or fibrosis degree, a product for diagnosing or auxiliarily diagnosing whether patients with hepatopathy need liver biopsy detection or a product for screening or auxiliarily screening the patients with hepatopathy who need or do not need liver biopsy.