111 results about "Growth ratio" patented technology

The object of the present invention is to provide a system for evaluating the customer equity of products and services provided by a company, with consideration of customer-purchase trends, and to provide a means for evaluating the ratio of repeat customers and the customer-equity growth ratio by store, region, and / or customer group, and to provide data for establishing an optimal plan for increasing sales. A system 100 for evaluating customer equity according to the present invention comprises a computer system 2 for conducting sales management for a company, and an evaluation computer 10 connected to the computer system 2 via a communications line 5. The evaluation computer 10 comprises a Web server 11, a communications controller 15, an application server 12, and a database 14 for recording purchase records received from a company or store. The database comprises a table of original records 14a for recording purchase records in the order that they are generated, a master table of customers 14b, and a tabulation table 14c for sorting records by time period. The application server 12 comprises a purchase-data collecting means 12a, a customer-equity sorting means 12b, and a customer-equity evaluation means 12c. The customer-equity evaluation means 12c comprises a total-customer-equity tabulating means 12c-1; an average-customer-equity tabulating means 12c-2; a means of tabulating the customer-stability ratio 12c-3; and a customer-equity growth-ratio tabulating means 12c-4.

A method of predicting storm cell characteristics at a future time is provided. A value relating to a characteristic of the storm cell is determined from reflectivity data processed from signals received from a radar scan of the storm cell. A second storm cell is identified that is part of the same weather system as the storm cell. A plurality of values relating to the characteristic for the identified second storm cell is received from a memory wherein the plurality of values were determined at a plurality of different times. The determined value of the storm cell is compared with the determined plurality of values of the identified second storm cell. A growth rate of the storm cell is determined. A maximum height of the storm cell at a third time in the future is calculated based on the comparison and the determined growth rate and presented to a user.

The invention discloses a method and device for calculating influence data. The method is applied to a socializing network. The method includes the following steps that an identification of designated information serves as the input, and user operation data of the designated information are extracted from a server of the preset socializing network; according to the extracted user operation data, the daily number of user involvement times is calculated; the involvement time number growth rate of each day is calculated; the involvement time number growth rates of adjacent days are compared, days which conform to the situation that differences between the involvement time number growth rates of the same days and the involvement time number growth rates of N days before are larger than the first preset threshold value are selected and days which conform to the situation that the involvement time number growth rates of M days before are negative values, the involvement time number growth rates of the same days are positive values and in addition, the involvement time numbers of the same days are larger than the second preset threshold value are selected. According to the method and device for calculating the influence data, correctness and reliability of the influence data of the socializing network can be improved and real conditions can be better met.

The invention relates to a method for partitioning brainstem areas automatically from MR (magnetic resonance) sequence images. The method is used for partitioning the brainstem areas automatically and continuously from the human body encephalic MR sequence images, so as to offer technological bases for reconstruction of 3D model of the encephalic tissues to doctors to judge the state of an illness of the patient efficiently and intuitively. The method comprises steps of (1) preprocessing: carrying out gray level clustering analysis on all MR nerve sequence images, and clustering the gray levels of all the MR images to be processed to be five-level gray level images; (2) selecting seed point pixel, obtaining the outline border of the brainstem area of the first MR image through a neighbor region growing algorithm based on the image area growing rate; (3) roughly partitioning the current MR image through a block region growing method; (4) repartitioning the roughly partitioned MR images through logical judgment treatment and the region growing method; and (5) repeating the step (3) and the step (4) till finishing partitioning all MR images.

The invention discloses a battery charging method, apparatus and equipment. The charging method comprises the steps of setting a charging current value I<n> and determining a charging cut-off voltage value V<n> corresponding to I<n>; when the battery internal resistance growth rate reaches an internal resistance growth rate threshold value and is less than the maximum value of the internal resistance growth rate threshold value in battery circulation, correcting I<n-1> and corresponding V<n-1> according to monitored battery capacity retention ratio and battery internal resistance; in the (n-1) charging stage, charging the battery by I<n-1>, when the charging voltage of the battery reaches V<n-1> and when (n-1) is smaller than the set total number of charging stages, entering the n charging stage, and when the charging voltage of the battery reaches V<n-1> and when (n-1) is equal to the set total number of charging stages, stopping charging; and when the battery internal resistance growth rate is greater than or equal to the maximum value of the internal resistance growth rate threshold value, stopping the charge-discharge circulation of the battery. By virtue of the battery charging method provided by the embodiments, battery overcharging can be prevented, and the service life of the battery can be prolonged.

The invention discloses a demand response benefit and potential evaluation method based on electricity price. The method includes the following steps: determining the number of users participating in a demand response project based on the electricity price after m years according to the set user growth rate alpha and the intelligent electricity meter implementation progress beta; calculating electric quantity of each user in unit time one day at the new electricity price according to a user response characteristic model; calculating the average electric quantity at ordinary time of the user at the new electricity price according to the daily electric quantity of the user; predicting the number of the users participating the project from the reference year and evaluating the requirement response benefit and potential of a power plant, a power grid, the users and the environment according to the user response degree. By means of the evaluation, the benefit and the demand response potential of the benefited parties are carefully analyzed after the demand response project based on the electricity price is implemented, the benefit evaluation value is quantized, and the method provides reference for planning and cost recovery of the demand response project, helps the government to make decisions, is favorable for well development of the demand response project in the country, and achieves good social benefit.

A prediction of whether a point on a computer-generated surface is adjacent to laminar or turbulent flow is made using a transition prediction technique. A plurality of boundary-layer properties at the point are obtained from a steady-state solution of a fluid flow in a region adjacent to the point. A plurality of instability modes are obtained, each defined by one or more mode parameters. A vector of regressor weights is obtained for the known instability growth rates in a training dataset. For each instability mode in the plurality of instability modes, a covariance vector is determined, which is the covariance of a predicted local growth rate with the known instability growth rates. Each covariance vector is used with the vector of regressor weights to determine a predicted local growth rate at the point. Based on the predicted local growth rates, an n-factor envelope at the point is determined.

The invention provides methods and a device for determining economic loads and cooling loads. The method for determining the cooling loads includes determining types of time-varying economic load curves of the economic loads according to regional economic development data in a database; determining growth rates of the economic loads according to daily maximum load curves and using the growth rates as slopes of the economic load curves; determining a basic load value of each economic load curve according to the minimum value of a quadratic sum of the distance from the economic load curve to the lowest point of the corresponding daily maximum load curve and further determining time-varying relations of the economic loads; computing the daily maximum cooling loads according to daily maximum loads and the economic loads. The methods and the device for determining the economic loads and the cooling loads have the advantages that temperature-varying relations of the cooling loads can be acquired by the aid of the methods and the device, the maximum cooling loads of each year can be predicted by the aid of the temperature-varying relations of the cooling loads, scientific evidences are provided for formulating an annual operation mode of a power grid, and the methods and the device are favorable for guaranteeing long-term safe and reliable operation of the power grid of the Shenzhen city.

The invention discloses a power big user segmentation method based on improved AP and K-means clustering. The method is mainly targeted for power industry big users, and is used for carrying out segmentation on power big users through improved AP and K-means combined algorithms based on three index data of monthly electricity consumption, historical credit score and electricity consumption growthrate comprising ring growth rate and year-on-year growth rate of the big users. The power big user segmentation method carries out segmentation on the power big users based on combined clustering algorithms of an improved AP algorithm and an improved K-means algorithm, is good in segmentation effect, and prevents the defects that it is hard to determine cluster number k, it is sensitive to isolated points and it is easy to fall into local optimum when carrying out gradient descent search of a conventional K-means algorithm and the like.

The invention provides a method for predicating a line loss rate of a power grid. The method comprises the following steps: obtaining power grid parameters in a power grid reference year and incidence relation among the power grid parameters; reviewing whether the quantity of power grid lines and the quantity of components in a power grid predicating year are changed or not; if so, obtaining the line loss rate of the power grid in the power grid predicating year according to the growth rate of electric quantity in the power grid predicating year, the power grid parameters in the power grid reference year and the incidence relation among the power grid parameters; otherwise, modifying a variable loss rate and / or a constant loss rate in the power grid predicating year, and calculating the line loss rate of the power grid in the power grid predicating year according to the modified variable loss rate and / or constant loss rate in the power grid predicating year.

Individual storage devices of a RAID group are monitored for faults. A health indicator for each storage device is calculated based on fault growth rate. Non-failed storage device are swapped out based on the health indicator. Techniques for monitoring the storage devices include background media scans and growth list polling.

The invention discloses a power consumer segmentation method based on multidimensional indexes; aiming at power consumers, the method creatively proposes 6 evaluation indexes under three dimensions including the client value, the client credit and the client potential, wherein the 6 evaluation indexes refer to the power consumption, the average electricity price, the default power consumption frequency, the arrearage rate, the power consumption growth rate and the install capacity; the method preprocesses the data, and uses a cluster algorithm to evaluate to obtain the optimal segment result according to an average contour coefficient. The power consumer segmentation method based on multidimensional indexes is good in segmentation effect, thus preventing troubles caused by a conventional client segmentation method developing variation marketing services for the power grid.

Increasing performance companies whose business performance increases are selected among a number of companies and a growth ratio of the skill holding amount (an upskilling ratio) in each skill field is calculated. An average of the upskilling ratios of the increasing performance companies is found for each skill field. The average is used as a standard upskilling ratio. An upskilling ratio of a client company that requests an analysis in each skill field is compared with the standard upskilling ratio. This makes it clear that the skill field being important for the client company but insufficient in the skill holding amount. Then a plan to supplement the shortage can be drafted.

The invention is applied to the technical field of power marketing and provides a method, a system for providing differentiated services and terminal equipment. The method comprises the steps of acquiring client attribute information; acquiring client behavior information; acquiring client demand information; generating demand category information through classification of the client demand information; counting the occurring times of each type of demand category information within preset time; calculating the chain growth rate and the year-on-year growth rate corresponding to each type of demand category information; and alarming when the chain growth rate is greater than a first preset threshold value and the year-on-year growth rate is greater than a second preset threshold value, and providing the differentiated services for a client according to the corresponding category information and the associated client attribute information and client behavior information. Thus, the situations that hotspot client demands cannot be accurately predicted and the differentiated services cannot be provided for different clients for the hotspot client demands in advance are effectively avoided, the service efficiency is effectively improved and the client complaint rate is reduced.

An element damage determination unit calculates a cumulative value of a damage value using a Manson-Coffin law for a plurality of finite elements of a continuum based on a result of a stress / distortion analyzing process, and determines whether or not the cumulative value of the damage value is equal to or exceeds a threshold. A calculation unit obtains first correspondence information indicating the correspondence between the number of cycles of a load and a growth rate of a crack occurring in the continuum based on the determination result. A Manson-Coffin law change unit changes a Manson-Coffin law based on the first correspondence information and second correspondence information indicating the correspondence between an actual measurement value of the number of cycles of a load applied to the continuum and an actual measurement value of the growth rate of a crack occurring in the continuum at that time.

The invention provides a drawing method of an electric transmission line icing-thickness growth rate distribution diagram based on number of continuous freezing rain days. The method comprises the steps that 1, an icing database is established; 2, the icing-thickness is preliminarily estimated; 3, an icing-thickness optimization calibration model is established, and an icing-thickness calibration value is calculated when historical continuous freezing rain happens; 4, the icing growth rate is calculated; 5, the recurrence interval of the icing growth rate is calculated; 6, interpolation, smoothness and electric system GIS platform display are conducted on calculated results. The drawing method of the electric transmission line icing-thickness growth rate distribution diagram based on the number of the continuous freezing rain days has the advantages that the operability is strong, and the practicability is strong; the applicability is strong, the portability is good, and the icing-thickness growth rate distribution diagram of any region can be drawn; the icing-thickness growth situation of the historical icing process can be reflected scientifically and reasonably, and an important breakthrough point is provided for studying the historical icing growth rule.

A method is provided that includes modeling future demand and / or future supply for a good at one or more segments of a period of time. In accordance with the method, future demand / supply at a respective time segment is modeled based upon a price sensitivity distribution of a unit purchase of the good, as well as a market potential distribution of a number of units of the good in a market associated with the good, during the respective time segment. The price sensitivity distribution and / or the market potential distribution for a respective time segment is based upon a growth rate and an uncertainty for the respective time segment. The method can further include modeling cost and / or profitability of the good at a respective time segment. Profitability can be modeled based upon the demand model and the cost model for the respective time segment.

The invention discloses a power grid key node identification method considering a voltage grade influence. The method mainly comprises the following steps of layering a power grid system according toa voltage grade; based on a layering result, acquiring a voltage grade layer where a node and a branch are located; acquiring a voltage value of the node in the power grid system and a power flow value of the branch; increasing an unit charge to the power grid system, calculating a voltage increase value of each node, and calculating a power flow change value of each branch; obtaining a voltage increase rate theil entropy of each node in the power grid system; obtaining a weighted power flow impact rate theil entropy of each branch in the power grid system; using a binary analysis method to obtain subjective weight of two entropies; using an objective weight method of the entropy to obtain an objective weight; and acquiring a comprehensive weight based on the subjective weight and the objective weight, and screening a key node based on the comprehensive weight. An evaluation index established in the invention can be used to visually and quantitatively analyze the critical degree of thenode so as to efficiently identify the key node of the system.

The invention provides a data driving algorithm for a spontaneous combustion coal-mine fire big data platform, and relates to a probability estimation method for the spontaneous combustion coal-mine fire mark gas occurrence rate. The method comprises the following steps that 1, coal-mine mark gas concentration data is collected; 2, data is pre-processed; 3, the probability distribution type to which the mark gas growth rate belongs is judged through hypothesis test; 4, parameters of probability distribution are calculated through all mark gas occurrence rate data by means of a Maximum Likelihood Estimation method; 5, by means of the obtained parameters of the probability distribution, real probability distribution of the mark gas change rate is simulated through a large amount of data points by means of a Monte Carlo Simulation method; 6, by means of the real mark gas change rate distribution obtained in the last step, mark gas concentration distribution in future prediction time is obtained by multiplying time wanting to predict; 7 a mark gas concentration alarm limit is set, and the probability of occurrence is obtained.

The invention relates to an identification method for faults in and out of an area of a high voltage direct current (HVDC) transmission line based on a multi-fractal spectrum, which belongs to the technical field of relay protection of a power system. When a fault occurs in a direct current circuit, after a protective element is started, according to two-electrode direct voltage detected at a protective installation position, aerial mode voltage is obtained by utilizing the phase mode conversion theory. Fault component of the aerial mode voltage is obtained according to the superposition principle, probability density at different levels is obtained through the side length of a transform box, then partition function and quality factor are obtained, finally singularity exponent and growth rate k of the singularity exponent are obtained, and then faults in and out of the area are judged according to the k value. Sampling frequency is 20 kHz, time window is 1ms, the required data length is short, and effect of a control system is avoided. The identification method is capable of correctly identifying various types of faults within the range of the whole line and high in tolerance property for transition resistance, is not affected by interference and has high practical applicability.

The invention relates to an ingot thermal field for growing pure quasi-monocrystalline. The ingot thermal field comprises an upper furnace body and a lower furnace body. A quartz ceramic crucible is arranged in a hollow cavity formed by the upper furnace body and the lower furnace body. A mobile secondary heater is arranged between the outer wall of the quartz ceramic crucible and an outer-side primary heater. The mobile secondary heater is connected with a secondary heater electrode. The secondary heater electrode penetrates the upper furnace body, and is connected with a secondary heater electrode moving apparatus. The secondary heater electrode moving apparatus is arranged on the upper furnace. The secondary heater electrode moving apparatus drives the mobile secondary heater to move up and down through the secondary heater electrode. The speed curve of the mobile secondary heater moving up is consistent with the crystal growth speed curve of monocrystalline silicon seed crystals in the quartz ceramic crucible. With the ingot thermal field provided by the invention, the generation and inward growth of crystal nucleus on the front edge of a solid-liquid interface on the wall surface of the quartz ceramic crucible can be prevented, such that the growth ratio of pure quasi-monocrystalline rod is relatively high.

The invention provides a method for predicting medium-term and long-term power load on the basis of a logarithmical load density growth curve. A load density index value is evaluated on the basis of a load growth curve for a certain functional area according to a certain relationship between load growth and load saturation degree and the characteristics, such as non-linearity, time variance and uncertainty, of the medium-term and long-term power load; and the load at different load density stages has different growth rate according to the given load logarithmical growth rate curve at different development stages of the load, so that the more complicated load growth curve prediction is realized and the precision and the speed of load prediction are enhanced. The method can be used for predicting the whole load and can also be used for predicting the load of each block in the aspect of space load prediction.

The invention discloses a vulnerability based power grid early-warning method, which comprises the steps of calculating power flow distribution of a power grid method under an initial load; calculating a state vulnerability index of each node or branch in a power grid under different load increase rates according to the flow distribution acquired by calculation, wherein the state vulnerability index is used for representing advantages and disadvantages of the operating state of each component in the power grid method, and the state vulnerability index is determined by a vulnerability trend index and a vulnerability margin index together. According to the invention, the improved state vulnerability evaluation indexes are adopted, thereby being screening out components which are high in critical state approaching speed and closer to the critical state after being disturbed, improving the positioning precision, and being convenient for accurately analyzing vulnerable nodes or branches of an electric power method.

The invention discloses an island phenomenon detection method and device and a computer readable storage medium, and belongs to the technical field of electric power. The method comprises the following steps: determining a harmonic amplitude growth rate and a frequency growth rate of alternating current output by an alternating current port of a grid-connected inverter; determining an island disturbance coefficient corresponding to the harmonic amplitude growth rate, wherein the harmonic amplitude growth rate and the island disturbance coefficient are in a monotonically increasing relationship; determining island injection amount according to island disturbance coefficients corresponding to the frequency growth rate and the harmonic amplitude growth rate; controlling the grid-connected inverter to output reactive power or reactive current through the alternating current port according to the island injection amount; and carrying out island phenomenon detection according to the frequency of the alternating current output by the alternating current port. According to the invention, whether an island phenomenon occurs can be accurately detected, when the island phenomenon does not occur, the disturbance to a power grid is reduced, the grid-connected stability is improved, when the island phenomenon occurs, the island phenomenon can be rapidly detected, and the detection time is short.

The invention provides a compound fertilizer for promoting increase production of leaf lettuce, which comprises the following component materials: 15-19 % of urea, 2-4 % of monoammonium phosphate, 4-6 % of potassium sulfate, 4-7 % of monopotassium phosphate and the like. When the fertilizer is applied, a contrast test between the nutrient fertilizer and the compound fertilizer commonly used in the gardening field is carried out, a planting area is set at random, each of fertilizers is applied for one time, and the same farmland management measurement is employed. According to the statistics, after the compound fertilizer is applied, the seed emergence rate can be achieved to 93 %; and by applying a nanometer additive, the absorption amplitude increase of a majority of elements to plants is increased by 16 %, the ratio of disease infection is reduced by 5 %, the infection of insect attack is reduced by 6.1% percent, and the growth ratio is up to 9.5 %.

The invention discloses an agaricus blazei murill sporocarp growth parameter detection method based on an image processing technology, which belongs to the technical field of agricultural internet ofthings, and can realize the continuous, intelligent and nondestructive detection of the parameters. The method comprises the following steps of (1) evaluating the imaging quality of the strains in a fruiting room; (2) positioning a sample strain area; (3) separating the strains with slight adhesion; and (4) extracting the strain growth parameters. The method is suitable for the real-time monitoring of the growth states of the strains during the industrial production process of the edible fungi, can explore the growth environment parameter configuration most suitable for the agaricus blazei murill according to the high growth rate so as to increase the yield, can divide different growth periods of the strain according to the height net value, thereby facilitating the picking and saving themanpower. Meanwhile, according to the method, the characteristic data is reserved for the color grade division of the strains at the same time, so that the method can be further popularized to the industrial production of other strains.

The invention relates to a preparing method of a neutron absorbing plate for the storage and the transportation of nuclear fuel. Aiming at the condition of releasing spent fuels through a nuclear reactor, a nuclear protection neutron absorbing plate is prepared by using aluminum alloy powder and boron carbide powder as raw materials through cold pressing blank preparation, vacuum hot pressing, extrusion forming, rolling and surface shot blasting. For the preparing method, the technology is advanced, the data is precise and detailed, the compactness of the metallurgical structure of the prepared neutron absorbing plate is good, the boron carbide in the matrix is uniformly distributed and tightly combined, the Rockwell hardness reaches 50 HRB, the tensile strength reaches 280 MPa, the yield strength reaches 240 MPa, the fractured growth is 2%, the impact toughness reaches 15 J / cm<2>, the density reaches 2.636g.cm-3, the consistency is 99.9%, the local density difference is less than or equal to 0.01%, and the absorbing rate of neutrons is 90%, so that the preparing method is an ideal preparing method of the nuclear protection neutron absorbing plate.