82 results about "Condition index" patented technology

The invention discloses a system resource dynamic capacity expanding and shrinking method and device, a computer device and a storage medium which are applied to the technical field of system configuration, and are used for solving the problems that the timeliness of existing system resource scheduling is low and the system stability is reduced. The method provided by the invention comprises the following steps of capturing a system log of a target system in real time, and obtaining current service data of the target system from the system log; obtaining allocated system resources allocated tothe target system by the system resource pool; analyzing the current service data according to a preset service index rule to obtain a current service operation index of the target system; calculating a resource use condition index of the target system according to the service operation index and the distributed system resource; if the resource use condition index is smaller than a preset index lower limit value, performing capacity reduction processing on the target system; and if the resource use condition index is greater than the preset index upper limit value, carrying out capacity expansion processing on the target system, wherein the index upper limit value is greater than the index lower limit value.

The invention discloses an anti-electricity-stealing precise localization online monitoring method. Models and anomaly screening rules about line loss anomaly indexes, electricity utilization anomaly indexes, metering device failure and anomaly alarming indexes, user historical business handling condition indexes, user historical electricity utilization service indexes and electricity price executing indexes are established through a known electricity stealing user electricity utilization data rule, a marketing business application system, an electric energy collecting system, a 95598 service complaint and customer basis file information are adopted as customer data sources, and suspected electricity stealing users are monitored in real time. Electricity utilization anomaly customers are investigated through an anti-electricity-stealing online monitoring platform, the loads, electricity quantity and other abnormal conditions of the customers are tracked in real time, the problem of difficult stealing investigation and evidence obtaining is fundamentally solved, anti-electricity-stealing working efficiency is effectively improved, and enterprise benefits are guaranteed.

The invention discloses a method for calculating the automobile condition by evaluating the automobile condition indexes and belongs to the field of automobile management. According to the method, automobile intelligent terminal group identification (GID), a server cloud storage platform and a client terminal are included. According to the method, multiple indexes of the automobile performance are considered comprehensively, a specific formula is proposed, and the automobile condition is displayed on a cellphone client of an automobile networking terminal in a digital form. The method can be used for evaluating electronic states and conditions of automobiles so that a user can take corresponding improvement measures on account of automobile condition index scores and check the automobile health condition through a cellphone software APP. Fault information is displayed to the user, and the user can show the automobile condition scores on the cellphone platform of the automobile networking terminal and share the automobile condition with friends through the internet.

The invention provides a method for performing classification prediction on annual maximum load based on economical and meteorological factors. The method comprises the following steps: (1) reading the influence factor of each type of load, reading historical data and constructing a classification prediction model; (2) acquiring each explanatory variable value of a target year; (3) performing classification prediction on each type of load of the target year; (4) calculating the annual maximum load of the target year. According to the method, the annual maximum load is decomposed into annual basic load, annual residential air conditioner load and annual non-residential air conditioner load, so that the influence factors can be considered more deeply; and a classification prediction model is established, the economical and meteorological factors are considered in the prediction model at the same time, the influence of specific temperature is not considered in the meteorological factor, but a climate condition index and high temperature lasting days are introduced into the prediction model, so that the problem that the advancement and accuracy of meteorological prediction do not meet the load prediction requirement is solved, and the prediction accuracy is increased.

The invention discloses a drought remote sensing monitoring method suitable for high altitude areas. The method comprises: S10, collecting data of a target area, S20, preprocessing the data obtained in step S10 to obtain an enhanced vegetation index, a surface temperature index, a land cover type and downscaling rainfall data, S30, calculating a vegetation state index, a temperature condition index, a rainfall state index, a reclassified land cover type and elevation by the data in step S20, and S40, constructing a drought remote sensing monitoring model based on spatial principal component analysis. The method comprehensively considers various factors affecting drought, wherein the various factors include a vegetation factor, a surface temperature factor, a rainfall factor, a land cover type factor and a topographic factor, a drought monitoring model is constructed by a spatial principal component analysis method, can effectively eliminate variables with large correlation in the selected variables and can extract few unrelated comprehensive indicators.

The invention discloses a pressure regulating type smart watch for measuring pulse condition. The pressure regulating type smart watch comprises a watch band assembly and a watch movement assembly, wherein the watch band assembly comprises a raised contact surface and a pulse sensor; the watch movement assembly comprises a watch band scroll, a micro stepping motor, a watch gear, a stepping motor driving unit, an A / D (Analog / Digital) conversion unit, a CPU (Central Processing Unit), a wireless interface unit, a storage unit and a touch screen; the watch band is used for adjusting the pressure born by the pulse sensor under the action of the micro stepping motor; the pulse sensor is used for measuring pulse condition characteristic parameters. The pressure regulating type smart watch has the advantages that the measurement is easily realized; through logic operation of the CPU unit, pulse condition indexes are obtained, and health indicators comprising health conditions of a digestion system, a blood circulation system and an endocrine system are indirectly reckoned. The invention also discloses a pressure regulating type method for measuring the pulse condition. According to the pressure regulating type smart watch and the pressure regulating type method disclosed by the invention, pulse condition data can be stored for a long term; wireless communication and control over the smart watch can be realized; the pulse conditions indexes and the health indicators are displayed on the touch screen, so the health states of human bodies are conveniently and timely grasped.

The present invention belongs to the nuclear power plant safety operation assessment technology field, and especially relates to a nuclear power plant safety operation assessment method based on an entropy evaluation method and a matter-element extension method. Aiming at the development and safety operation condition of the nuclear power in our country, in order to realize comprehensive and systematic assessment for the nuclear power plant safety operation condition, the present invention provides a nuclear power plant safety operation assessment method based on an entropy evaluation method and a matter-element extension method. The method comprises: establishing a nuclear power plant safety operation condition index system, constructing a matter-element extension model to obtain association degree of each index on related assessment grades, combining the association degree and the entropy evaluation method, and solving a weighting comprehensive association degree so as to determine the assessment grade of the safety operation condition of the nuclear power plant. The nuclear power plant safety operation assessment method based on the entropy evaluation method and the matter-element extension method realizes classified assessment of each index of the safety operation condition while realizing comprehensive assessment of the whole operation condition of the nuclear power plant and takes the actual data in the assessment process as a basis so as to overcome the subjectivity of a fuzzy comprehensive assessment model and allow the assessment result to be more practical and reliable.

The invention provides a method for predicting the key industrial electricity consumption based on an industrial condition index. The method comprises the following steps: (1) obtaining the key industrial condition index and historical electricity consumption data; (2) performing seasonal adjustment and a stationary test on the data; (3) judging whether the industrial condition index and the industrial electricity consumption have a causal relationship or not through a Granger causality test and determining an optimal lag period of the condition index; (4) creating a time sequence ARIMA (autoregressive integrated moving average) model of the key industrial electricity consumption, introducing the key industrial condition index into an original ARIMA model, and creating a regressive model; (5) on the basis of an AIC (Akaike information criterion), screening out an optimal model; (6) performing model popularization and application, and predicting the industrial electricity consumption in the future. The key industrial electricity consumption is taken as a study object, the electricity consumption and the influence of the industrial condition index on the electricity consumption are studied by introducing the industrial condition index, the key industrial electricity consumption is accurately predicted in combination with the time sequence model, and a basis is provided for development and planning of electricity industry in the future.

The invention discloses a method for evaluating lake eutrophication, and relates to evaluation methods of water environment pollution. The method solves the influence on TSI by multiple water qualityparameter measurement during the existing computation of the nutrition condition indexes. The method comprises the following steps: firstly, performing sampling on a lake, so as to obtain a lake waterquality sample; secondly, measuring pH, salinity, water temperature, SD, TN, TP, DOC, Chla and aOACs according to the lake water quality sample; thirdly, ensuring that the measurement of the aOACs comprises measurement of ap and aCDOM; fourthly, back calculating the TSI through the measured aOACs, ensuring that data points are uniformly distributed on the two sides of a regression line, and further performing classification of degrees of evaluating lake eutrophication. The method is simple, can compute a TSI value of a lake through a model by only measuring optical active substance absorptioncoefficients of the lake. The method is applied to the evaluation of lake eutrophication.

The invention relates to a method for evaluating damage conditions of an asphalt pavement. The method includes the following steps that firstly, pavement damage data is acquired; secondly, the transverse crack evaluation index (TCEI) of the pavement is calculated; thirdly, the pavement patching condition index (PPCI) is calculated; fourthly, the pavement surface damage condition index (PSCI) is calculated; fifthly, attribute weights of the three indexes are calculated by adopting an analytic hierarchy process; sixthly, grade weights of the three indexes are calculated by adopting an entropy method; seventhly, the comprehensive weight is obtained according to the attribute weights and the grade weights of the three indexes; eighthly, an evaluation model of the pavement damage condition index (PDCI) is established, and an evaluation result of the pavement damage condition is obtained according to the calculated the value of the PDCI. The method for evaluating the damage conditions of theasphalt pavement through a variable-weight comprehensive evaluation method is established, the dynamic weight of each evaluation index is calculated by combining the analytic hierarchy process and anentropy weight coefficient method, and the evaluation result is more accurate.

The invention discloses an evaluation method for the damage condition of a bituminous pavement semi-rigid base course, and belongs to the technical field of road engineering. The evaluation method is designed for solving the problems that an existing evaluation method cannot accurately judge the damage condition of the semi-rigid base course or accurately evaluating the damage type, damage degree and distribution characteristics. The evaluation method for the damage condition of the bituminous pavement semi-rigid base course includes the steps that a semi-rigid base course modulus ratio and damage condition indexes of one road segment of a bituminous pavement to be detected are calculated, wherein the semi-rigid base course modulus ratio is a ratio of semi-rigid base course effective modulus to initial rebound modulus; the corresponding relation among the semi-rigid base course modulus ratio, the damage condition indexes and the damage condition of the road segment is set up; damage condition indexes and damage characteristics of other road segments of the bituminous pavement to be detected are obtained through the corresponding relation. The damage condition of the bituminous pavement semi-rigid base course can be accurately judged through the evaluation method, and the damage type, damage degree and distribution characteristics are accurately evaluated.

The invention discloses an intelligent power transmission line mountain fire emergency disposal method based on fire behavior feature analysis. The intelligent power transmission line mountain fire emergency disposal method comprises the following steps: (1) calculating a fire point distance index L of a mountain fire; (2) analyzing a fire behavior feature of the mountain fire: (2.1) calculating a vegetation condition index P, (2.2) calculating a terrain condition index G, and (2.3) calculating a meteorological condition index W; (3) calculating a mountain fire area index S; (4) making an emergency disposal conclusion: (4.1) taking emergency measures I-VI, and (4.2) making rules A-E. The method has the advantages that 1) the operability is high, and an effective way is supplied to emergency power transmission line mountain fire disposal; 2) a decision can be quickly made, the response efficiency of the emergency disposal can be greatly improved, severe accidents are avoided, and reliable and stable running of a power grid is guaranteed; 3) the fire extinguishing safety is guaranteed, and the fire extinguishing disposal efficiency is improved.

A method is provided to determine optimal data rate and packet length in mobile networks. The method directly determines the optimal packet length (L) and data rate (D), which allows fast convergence in the mobile channel. The method automatically identifies and quantifies channel conditions, as well as adjusts parameters according to changes of channel conditions. A variable (Channel condition Index (CCI)) is abstracted from simulations and then used to describe and quantify the impact of three components of channel conditions: signal-to-noise ratio (SNR), multipath environment and velocity. Based on packet completion rate (PCR) status, the channel condition is identified in terms of CCI value. Once CCI is identified, the model of effective throughput G is directly optimized to locate the best packet length (L) and data rate (D).

The invention discloses an identification method for clubroot disease resistance of high mountain radishes in a field. The identification method comprises the following steps: selecting experimental radish varieties, enriching bacterium sources of a clubroot disease nursery in a high mountain region, and sowing radishes; grading clubroot disease morbidity degree of full-grown radishes to obtain disease condition grades of the radishes; calculating radish variety disease condition indexes according to the disease condition grades of the radishes and a radish variety disease condition index general formula; and evaluating the resistance type of each radish variety to the clubroot disease by combining a radish disease resistance evaluation standard according to a calculation result. According to the identification method, the disease condition grading of the radishes which are infected with a disease is simplified; the influence on radish clubroot disease condition grading caused by black spots and black scars on the radishes is excluded; the existing grading mode is changed essentially; the overall identification process and the result processing analysis become simple, and meanwhile, the clubroot disease resistance of different radish varieties is judged rigorously and accurately.

The invention discloses an agricultural drought rapid evaluation method based on historical cases. The method comprises the following steps: 1, constructing a drought disaster historical case database; 2, selecting disaster condition indexes and disaster indexes; 3, selecting a similar case determining method and calculating similarities between the historical cases and a current disaster; 4, participating in determination of a disaster condition evaluation case and calculating a weight; 5, determining a disaster fighting capability correction coefficient and a disaster bearer exposure quantity correction coefficient; and 6, based on a case similarity evaluation model, calculating a disaster condition of the current disaster. The method is simple, the operation is easy, pre-evaluation based on historical similar cases can be completed even if there are only a small quantity of cases, the method is applied to pre-evaluation in which there are no conditions yet for establishing a model, the real-time performance is quite high, loss evaluation data of the disaster condition can be provided at any periods of the disaster, and references are provided for disaster fighting and disaster rescue decision-making.

The invention discloses a method and a system for cooperation of city traffic guidance and signal control. The method comprises the following steps of collecting real-time traffic flow information and real-time signal control information; establishing a PARAMICS simulation model of traffic guidance and signal control cooperation based on a city traffic network; setting parameters of the simulation model according to the abovementioned signal control information; calibrating a traffic generation and attraction matrix based on the collected real-time traffic flow information; receiving guidance strategy parameters of the PARAMICS simulation model, operating simulation, and outputting operational condition indexes of systems; changing the guidance strategy parameters, running simulation repeatedly, storing operational condition indexes of the systems of each simulation, and selecting the optimal guidance strategy parameter; applying the optimal guidance strategy parameter to traffic guidance and signal control systems; and sending the optimal guidance strategy to a user. The invention overcomes a defect that an algorithm of cooperation of traffic guidance and signal control systems is complicated and cannot be implemented in the prior art.

The invention relates to a remote monitoring system for disease conditions, comprising a monitor used for monitoring various disease condition indexes of patients and a wireless communication module which is connected with the monitor and transmits the subnormal data detected by the monitor in a wireless manner to alarm doctors. The remote monitoring system for disease conditions of the invention can transmit the subnormal data detected by the monitor in a wireless manner for alarming; therefore, doctors can know the disease condition of patients in time and can carry out quick treatment.

The invention relates to a method for synthesizing epoxy stop end butanol polyoxyethylene polyoxypropylene ether and belongs to the technical field of organic compound synthesis. A WO3 / ZrO2 catalyst is added into butanol polyoxyethylene polyoxypropylene ether; under the protection of nitrogen, epichlorohydrin is added dropwise slowly; after the reaction is over, the catalyst is filtered and recycled, epichlorohydrin is recycled through reduced pressure distillation, a chlorhydrin ether intermediate product is obtained; solid alkali and quaternary ammonium salt catalysts are added; under the protection of nitrogen, after the reaction and filtering for desalting, a neutralizer is added for neutralization, an adsorbent is added, and the refining is performed. By applying the method to synthesis of epoxy stop end polyoxyethylene polyoxypropylene ether, the catalyst is effectively recycled and reused 15 times or above, and the influence on devices and the operating environment caused by the strong acid catalyst is avoided; moreover, the balance of the stop end rate and color is achieved, and the condition indexes of finished products are also guaranteed.

The invention discloses a river-lake water quality prediction and eutrophication risk assessment method based on Monte Carlo simulation, and belongs to the field of environmental engineering technologies. The method comprises the steps of first establishing a water quality dynamic model of 8 water quality indexes based on a water quality index evolution mechanism; then performing river-lake waterquality prediction by using Monte Carlo simulation, predicting the evolution process of the water quality indexes by using Monte Carlo simulation based on the prior distribution of the known water quality indexes and model parameters of the water quality dynamic model, and obtaining the probability distribution of water quality index values in the future so as to realize water quality prediction;and finally constructing a comprehensive nutrition state index, and calculating the probability distribution of the comprehensive nutrition state index and the probability of being at different nutrition levels by combining the water quality prediction result so as to realize eutrophication risk assessment. The method disclosed by the invention can effectively realize water quality prediction andeutrophication analysis, is more comprehensive and accurate in consideration and overcomes the contingency brought about by a single-value prediction result.

The present invention relates to a method for producing a climate crisis index. The present invention provides a method for producing a climate crisis index as a indicator indicating the level of a risk according to climate change, wherein an average of the sum of the following indexes is produced as a climate crisis index: a carbon dioxide(CO2) index using a carbon dioxide concentration in the atmosphere, a temperature index using a temperature anomaly, a food security index using food statistics, an energy security index using total electricity net generation, a water security index using precipitation, and a failed state index indicating vulnerability of countries. As described above, since the present invention is configured such that a climate crisis index is calculated quantitatively on an indexation basis based on various factors, an adaptive strategy against climate change can be effectively established and countermeasures against the climate change can be developed.

Indexing and adjusting for property condition in an automated valuation model. Property data corresponding to a geographical area is accessed, and a regression is performed based upon the property data. The regression models the relationship between a dependent variable, such as price, and property-characteristic explanatory variables. Further regression is then performed and models or further explains the relationship between the dependent variable and property condition explanatory variables. Specifically, further regression may model the relationship between the residual from the first regression and the property condition variables. Optional examples of these variables are those based upon the presence of predetermined remarks in associated property listings, the number of photos in such listings, and a categorical year built variable. The regression is used to determine a property-condition index for the geographical area. The property-condition index identifies a predicted condition that is used to make adjustments to comparable properties in automated valuation modeling.

The invention relates to a physical sign parameter model construction method. The physical sign parameter model construction method comprises the steps of: acquiring continuous multi-dimensional physical sign parameters of a participating tester; establishing a distribution function of the multi-dimensional physical sign parameters corresponding to a feedback result of the participating tester onphysical condition indexes; obtaining a partial derivative of the distribution function, and establishing a probability density function corresponding to the feedback result, of physical sign parameters in each dimension, wherein the probability density function includes a first probability density function in which the feedback result corresponding to the physical sign parameters in each dimension is that the physical condition index is higher than an expected value, and a second probability density function lower than the expected value; obtaining an intersection point between the first probability density function and the second probability density function and dividing distribution intervals of the physical sign parameters; establishing a corresponding relation between the distributionintervals of the physical sign parameters and the feedback result that the physical condition index is higher than and lower than the expected value. The physical sign parameter model construction method can continuously monitor multi-dimensional physical sign parameters and is high in overall precision.

The invention provides a in vitro conservation method for Pseudoperonospora cubensissporangium. It includes process of: the treatment and conservation method and conditions ofPseudoperonospora cubensissporangium, the detection of sporangium germination rate and pathogenicity. The invention is to conserve thePseudoperonospora cubensissporangium in a mixed liquid containing 10% dimethyl sulfoxide and 5% skimmed milk, at -20DEG C, -70DEG C, or pretreat at -20DEG C for 24h, and conserve at -70DEG C. The best conservation method is pretreating at -20DEG C for 24h, and conserving at -70DEG C, after 12 months conservation, the sporangium germination rate is 46%, disease incidence and pathogenetic condition index are 50% and 40 respectively after inoculate to cucumber seminal leaves, high pathogenicity is preserved. The invention is fit for the long term in vitro conservation of Pseudoperonospora cubensis, and can solve the problem of serious pathogenicity descent in vitro conservation fundamentally.

The invention relates to the technical field of composite type lining tunnel and underground engineering, and discloses a method for preventing and controlling cast-in-place concrete lining structurecracks. The method includes the following steps of determining engineering characteristic indexes A of a tunnel and underground engineering lining structure, determining crack control indexes E, determining constraint condition indexes B beneficial for preventing and controlling the lining concrete cracks, monitoring the lining concrete construction environment and variation rule thereof on site,determining construction environment characteristic indexes C, determining healthcare condition indexes D beneficial for preventing and controlling the cracks after lining concrete demolding, and judging whether the indexes A, B, C and D related to the crack preventing and control method need to be modified or not. According to the method for preventing and controlling the cast-in-place concrete lining structure cracks, the aim of controlling the contraction quality of a cast-in-place concrete lining is realized, and the expected aim of structure safety and durability design is realized.

The invention provides a method for monitoring meteorological drought. The method comprises the steps: acquiring environmental remote sensing data of a region to be monitored; determining the comprehensive drought condition index of each image source point in the region to be monitored based on the acquired environmental remote sensing data and the environmental conditions of the region to be monitored.

The invention relates to a method for quantitatively testing the activity of microalgae, which is a characterization method created mainly for solving the problem of the distortion of conventional growth condition indexes of the microalgae in the high-density culture of the microalgae. A device consists of a magnetic stirring apparatus, a stirrer, a light source, an iodine number flask, a plug with holes, a dissolved oxygen probe and a dissolved oxygen tester, and is utilized to continuously test the concentration of microalgae suspension dissolved oxygen in the iodine number flask, calculate the amount of oxygen released by photosynthesis from the microalgae in a culture system and then calculate a specific photosynthetic oxygen evolution speed of the microalgae according to the biomass concentration of the microalgae to represent the growth condition of the microalgae.

The invention provides a flexible multi-state switch regulation and control method for promoting the consumption of a distributed power supply. The method comprises the following steps: firstly, establishing a target function comprising a distributed power supply output condition and a voltage deviation condition; then, based on the flexible multi-state switch and a power distribution network operation constraint condition, solving a target function by utilizing a particle swarm optimization algorithm to obtain an active power instruction optimal value and a reactive power instruction optimalvalue of each port of the flexible multi-state switch; and regulating and controlling the active power and the reactive power output by the flexible multi-state switch port according to the active power instruction optimal value and the reactive power instruction optimal value respectively. According to the invention, the target function considering distributed power supply output condition and voltage deviation condition indexes is established, the instruction optimal values of active power and reactive power of each port of the flexible multi-state switch through a particle swarm optimization algorithm are obtained, and the flexible multi-state switch are controlled by utilizing the obtained instruction optimal values to realize maximum consumption of the distributed power supply under the operation constraint condition of the power distribution network system.