53 results about "General distribution" patented technology

Disclosed is a step stress accelerated degradation data assessment method based on gray prediction models, which includes five steps: step one: performing primary process and conversion to test data to obtain data series of performance degradation volume of each test sample under each stress level; step two: building prediction models through gray prediction, calculating model parameters, and testing prediction accuracy of each model; step three: calculating the time when each sample reaches a degradation threshold Df under a stress level Sa to obtain life distribution types of samples and general parameters under each stress level; step four: finding relationship equations between general parameters and stress levels, namely, acceleration equations; and step five: estimating product general distribution parameters under normal stress levels through extrapolation methods according to the acceleration equations, and obtaining product reliability functions under normal use conditions according to the estimated values of general parameters. According to the assessment method, gray system fitting product degradation path is utilized so that defects of other models are overcome and the prediction accuracy is improved.

The present invention relates to an optical cable comprising: one or more main optical fiber modules, each comprising optical fibers and an outer sheath, the optical fibers of each main module being surrounded by said outer sheath; and a protective covering surrounding said main optical fiber module(s); wherein: n main optical fiber modules, where n is an integer such that 1≦n≦3, are disposed inside a tube that is specific thereto, said n main modules being free inside said tube; and said cable further comprises a carrier element inside said protective covering; each of said tubes being held stationary between said carrier element and said protective covering.

The invention discloses an electric power system dynamic random economic dispatching method and device based on general distribution. The method comprises the steps that day-ahead system load prediction data, day-ahead wind power prediction data and the like are input, it is assumed that a planned output of a wind power plant is a wind power prediction value, the quadratic programming problem is solved to obtain all thermal power unit outputs based on wind power prediction, the wind power prediction value and all the solved thermal power unit outputs are used as initial iteration points of an interior point method, the interior point method is utilized for iteratively solving a converted convex optimization problem with a constraint condition being linearity until iteration is stopped, and the planned outputs of the thermal power units and the planned output of the wind power plant are output. The method has high popularization value and good application prospects.

The invention discloses a real-time dynamic economical scheduling method for a generally-distributed electric power system containing wind power. The method includes the following steps: generating off-line a generally-distributed shape parameter list, and representing wind-power power probability distribution of different wind-power power prediction values through statistics of historical data; inputting system load predication data, wind-power power prediction data and the like during 12 scheduling periods; calculating thermal power output feasible domains of a thermal power set for real-time scheduling during the 12 scheduling periods; using general distribution to represent wind power, using the equal incremental principle to conduct wind power and thermal power static economical scheduling during the 12 scheduling periods, obtaining a static economical scheduling curve of wind power and thermal power, and transforming random economical scheduling into a determinacy economical scheduling model; and using the equal incremental principle to correct the output of the thermal power set, and enabling the thermal power cost to be optimal while ramp restriction of the thermal power set is ensured and also the stability of power generation plans of the thermal power set is ensured. A simulation example on the basis of certain wind-power power proves feasibility and reasonability of the method. The method has great popularization values and application prospects.

A method of doing business that enables a computer power service broker operating over the World Wide Web (Web) to distribute and track such distribution of computer power. The computer power service broker solicits: each of a plurality of client computer stations on the Web to offer for general distribution over the Web computer power in excess to the computer power requirements of each respective client computer station; and a plurality of consumer stations on the Web to request the performance of functions requiring computer power. The broker then distributes each of said requested functions requiring computer power among a plurality of said client stations offering said computer power and then tracks and bills consumer stations for computer power used in performance of requested functions. Finally, the computer power broker tracks and compensates the client stations for the excess computer power that they contribute in performance of the requested functions. The compensation may be determined by the market value of the broken down functions or tasks.

The invention relates to an establishing method of a joint roughness coefficient size effect probability density function model. The method includes the following steps: according to a joint contour line directional measurement result, adopting a large scanner to scan a drawing recording a joint contour line, and converting the drawing into picture format text; according to surface coordinate information of joint samples, adopting a Barton straight-edge simple formula to calculate roughness coefficient of a series of samples; based on phenomenological and significance test, respectively performing Weibull probability density function fitting (1) on general distribution of all size sample data; discovering functional relation among scale parameters a, shape parameter b and sample size 1 in Weibull distribution, and further establishing the joint roughness coefficient size effect probability density function model (2). By the method, influences of size effect on statistical laws of joint roughness coefficients can be described accurately, so that shear strength of joints in a series of sizes can be estimated conveniently and quickly.

The invention discloses a production line of liquid additive premixed feed. The production line comprises a general distribution box and a first conveying belt and further comprises a bottle unscrambler, a filling machine, a cap screwing machine, an aluminum foil sealer, a labeling machine, a boxing machine and a stacking machine which are sequentially arranged in the conveying direction of the first conveying belt, and a first photoelectric sensor and a second photoelectric sensor are arranged between the bottle unscrambler and the filling machine as well as between the filling machine and the cap screwing machine correspondingly; and the production line further comprises a dosing device connected with the filling machine through a pipeline, and the first conveying belt, the bottle unscrambler, the filling machine, the cap screwing machine, the aluminum foil sealer, the labeling machine, the boxing machine, the stacking machine, the dosing device, the first photoelectric sensor and the second photoelectric sensor are electrically connected with the general distribution box. According to the production line, automatic production of the liquid feed is achieved, the influence of a production link on products is reduced, and the production efficiency is improved obviously; and the oxygen content of the products is low, and the guarantee period of effective compositions is long.

The invention relates to a photovoltaic power generation power prediction method based on a probability distribution function. The photovoltaic power generation power prediction method comprises the following steps that 1, collecting irradiance data and corresponding power generation power data of a photovoltaic power generation system to be predicted; 2, dividing the value range of the irradianceinto M intervals; In each interval, fitting by adopting a general distribution fitting method to obtain a photovoltaic power generation power probability density function and a cumulative distribution function corresponding to the interval; 3, for any known irradiance, finding a corresponding interval and a photovoltaic power generation power probability distribution density function to obtain aplurality of photovoltaic power generation power values corresponding to the known irradiance, and forming a photovoltaic output scene set by the photovoltaic power generation power values; And step 4, calculating an average value of each photovoltaic power generation power value in the photovoltaic output scene set to serve as a photovoltaic power generation power predicted value corresponding toknown irradiance. The photovoltaic power generation power prediction method can predict the photovoltaic power generation power quickly with high precision, and has high practical application value.

The invention discloses a construction site power utilization period and overload controlling method and a power distribution device. The method comprises the steps that a general distribution box is arranged at a power source line incoming position and is provided with three output paths, the first path is a dormitory power output path, the second path is a construction power output path, and the third path is a safety power output path, wherein the dormitory power output path and the construction power output path are both provided with a time switch; the power utilization periods of dormitories and construction are controlled respectively through the time switches; in a work period, dormitory power supply is automatically cut off, and power is only supplied to construction; in a non-work period, construction power supply is automatically cut off, and power is only supplied to the dormitories; the normal power supply to construction lighting and a safety alarming system is guaranteed through the safety power output path. According to the construction site power utilization period and overload controlling method and the power distribution device, through the simple improvement on the power distribution device on a construction site, the power utilization safety problem of the construction site is well solved; although the initial investment is slightly larger than that of a traditional power distribution scheme, the power utilization cost can be greatly reduced. Meanwhile, the power utilization normative performance and safety of the construction site are improved.

The invention discloses a day-ahead power market mechanism design method based on renewable energy randomness and load response. The method comprises the following steps: inputting prediction data andactual measurement data of historical output power of a renewable energy power station in a system; modeling a renewable energy power generation distribution model based on the truncated general distribution model; establishing a day-ahead clearing model of the electricity market and a controllable electric equipment model under an electricity seller; solving a distributed day-ahead market clearing model and a controllable electric equipment model under an electricity seller based on an alternating direction multiplier method; and outputting a planned output curve of the day-ahead conventional unit and the renewable energy power station and a load power curve of the controllable electric equipment model under the electricity seller. Compared with a traditional deterministic model containing renewable energy sources, the model of the invention has the advantages that the social cost can be greatly reduced, and the distributed day-ahead market clearing method based on the alternating direction multiplier method has good convergence and efficient calculation efficiency.

The invention discloses an intelligent safety monitoring method and system based on temporary power utilization of constructional engineering, and the method comprises the steps: carrying out the real-time monitoring and alarm of a general distribution box, a distribution box and a switch box of a temporary power utilization network, and if the monitored data reach an alarm state, actuating an outlet linkage loop switch, so a corresponding fault loop is automatically cut off, and the loss is reduced to the minimum. Meanwhile, monitored data are transmitted to a background system for access, the data are analyzed and compared, later-period real-time query and manual remote intervention of the data are achieved, and the purpose of real-time early warning is achieved. According to the invention, electricity utilization hidden dangers caused by complex on-site working condition environment are solved, so that electricity utilization conditions which are not illegal according to regulations are not hidden. Hidden hidden dangers which cannot be checked are exposed, early warning is conducted in time, the hidden hidden dangers are solved in time, and loss is reduced.

The invention discloses an electric energy safety management system and method based on a cloud platform. The system comprises a cloud server and a park electricity monitoring system, wherein the parkelectricity monitoring system comprises a park general distribution box distributing power to a whole park, a public distribution box distributing power to public electric equipment in the park, a public canteen building distribution box distributing power to a public canteen building in the park and an office building distribution system arranged in each office building of the park; and each office building distribution system comprises an office building general distribution box distributing power to the corresponding office building, an elevator distribution box distributing power to elevators in the corresponding office building, a central air conditioner distribution box distributing power to a central air conditioner in the corresponding office building and tenant distribution boxesin one-to-one correspondence with all enterprise tenants in the corresponding office building, wherein the tenant distribution boxes distribute power to the corresponding enterprise tenants. Throughthe management system and method, electric energy data of all electricity links can be acquired quickly and accurately, electric consumption analysis, conformance management, operating condition monitoring and electric charge automatic settlement can be performed, and effective electric energy consumption parameter data is provided for enterprises.

The invention discloses wireless intelligent water quality monitoring and control equipment. The intelligent water quality monitoring and control equipment comprises a sewage pool and a control box, aworkshop is arranged at the top of the sewage pool, a shield is installed at the right side of the sewage pool, an exhaust fan is horizontally communicated with the upper portion of the right side ofthe shield, an exhaust pipe of the exhaust fan is vertically downwards, a general distribution box is installed at the upper portion of the right side of the workshop, a circuit breaker is installedat the right side of the inner wall of the general distribution box, and a sewage discharging pipe is horizontally communicated with the bottom of the right side of the sewage pool. By means of the wireless intelligent water quality monitoring and control equipment, the data output end of a GPS locating device is connected with the data input end of a first central processing unit so that the administrative department can quickly find the position of an enterprise which discharges unqualified industrial sewage through the GPS locating device and a locating system, the enterprise is timely surveyed, punished and rectified, the regulating progress is accelerated, and the wireless intelligent water quality monitoring equipment is practical and suitable for being widely applied and popularized.

The invention discloses a load prediction method and prediction system based on general distribution, and aims to realize short-term load power prediction of a power system. According to the method, historical meteorological information data and electrical data are combined, and corresponding statistical analysis models are constructed for different temperature increment levels. Firstly, a histogram model is adopted to approximately represent actual distribution, then a proper model is selected to fit the actual distribution, a universal distribution function model is adopted to fit, and a confidence interval of predicted power under a certain confidence level is obtained according to a closed analytical expression of an inverse function of a universal distribution CDF function.

Disclosed is an unmanned-operation automatic control system for a construction hoist (a construction elevator). The system comprises floor callers 1+N 1, drive mechanisms 2, electric control cabinets 3, operation-room manual controllers 4, ground callers 5, a general distribution box 6, in-cage callers 7, elevator car cages 8, main engines 9, anti-falling safety devices 10, rails 11 and weight protection controllers 12. The unmanned-operation automatic control system is simple in structure, convenient to use and capable of being operated without specialist and accelerating the construction progress greatly.

The invention provides a method for solving the steady state probability of a polymorphic system under a general distribution, which can establish a system state equation for a system of arbitrary distribution and give a method for obtaining the steady state probability of the system. The transition of system state is described as a generalized Markov process by using the supplementary variable method, and the state equation of the system is transformed into an ordinary differential equation according to the characteristic that the system state does not change according to the absolute time inthe steady state. Combined with the boundary conditions and initial conditions of the system, the equations are solved preliminarily, the important parameters of the system state equation are extracted by using the generalized integral mean value theorem, and the system state equation is transformed by means of the equivalence relations among the parameters. The generalized probability equation is obtained by using the total probability formula and solved by using the least square method. This method can significantly reduce the difficulty of obtaining the steady-state solutions of state probabilities of multi-state systems and has certain universality. It is suitable for solving the problems of system state analysis and maintenance strategy optimization in the fields of reliability engineering and mechanical engineering.

A data annotation correction method based on frame regression comprises the following steps: dividing data into two batches of sample data, which are gold annotations and hard annotations, according to the difficulty degrees in the first annotation process and the confidence coefficients of an annotation result; using a focus loss function to improve a target detection algorithm YOLO V5, then using gold annotation sample data for training, and after training of the training models is stable, saving m training models every fixed iteration times; reasoning the stored m training models on the hard annotation sample data, and performing offline storage on all pictures formed according to the reasoning result; for each picture, summarizing all reasoning results of the m training models, clustering all frames, and the number of clusters being set to be the number of real targets on the current picture; counting the number of frames, and carrying out general distribution modeling on four boundary points of all frames in the same cluster; and correcting the position of the frames according to a modeling result.

A computer-implemented method includes employing a dynamic Boltzmann machine (DyBM) to solve a maximum likelihood of generalized normal distribution (GND) of time-series datasets. The method further includes acquiring the time-series datasets transmitted from a source node to a destination node of a neural network including a plurality of nodes, learning, by the processor, a time-series generative model based on the GND with eligibility traces, and, performing, by the processor, online updating of internal parameters of the GND based on a gradient update to predict updated times-series datasets generated from non-Gaussian distributions.

The invention discloses a power distribution transformer optimization method for a power distribution network under electric energy replacement. The method comprises the steps of computing a yearly continuous apparent power curve of the first year in electric energy replacement; determining a distribution transformer planning capacity of each distribution transformer, and determining a capacity upgrade set; computing three feature indexes; computing a criterion for determining that the general distribution transformer can be replaced with an on-load capacity adjustment distribution transformer, and determining a replaceable point set; computing the yearly continuous apparent power curve of each of n years in electric energy replacement, and building a distribution transformer replacement optimization model through combining with constraints; and acquiring an optimization scheme for distribution transformer under electric energy replacement according to the distribution transformer replacement optimization model, the capacity upgrade set and the distribution transformer planning capacity. According to the method provided by the invention, the distribution transformer planning schemecan be comprehensively made from two aspects of energy conservation and consumption reduction and replacement cost at the same time, the computing amount of the distribution transformer planning is reduced, and a theoretical basis is provided for urban power distribution network distribution transformer planning and distribution transformer upgrading and reconstruction under electric energy replacement.

The invention discloses a distribution box suitable for a water surface. The distribution box comprises an outer box body, wherein the bottom of the outer box body is connected with a waterproof table in a sliding manner; expansion links are fixedly connected to the bottom of the waterproof table; an expansion tube sleeves the bottom of each expansion link; a fixing bolt is in threaded connection with one side of each expansion tube; a drainage hole is formed in the bottom of the waterproof table; one end of the drainage hole is connected with a wave-proof cover in a clamping manner; box body fixing bolts are in threaded connection with the surface of the outer box body; a base is fixedly connected to the inner wall of the outer box body; a distribution box body is connected to the surface of the base in a sliding manner; and an exhaust and dehumidification fan is connected to the surface of the base in a sliding manner. According to the distribution box suitable for the water surface, a ventilation opening is formed in one side of the outer box body, so that heat dissipation and damp prevention effects are achieved; a warning label is arranged on the outer box body to play a safety warning role; and therefore, the problem that much energy is required along with development of all walks of life, particularly, the development advantages of water power generation are increasingly obvious, but common distribution boxes are inapplicable to the water surface is solved.

A computer-implemented method includes employing a dynamic Boltzmann machine (DyBM) to solve a maximum likelihood of generalized normal distribution (GND) of time-series datasets. The method further includes acquiring the time-series datasets transmitted from a source node to a destination node of a neural network including a plurality of nodes, learning, by the processor, a time-series generative model based on the GND with eligibility traces, and, performing, by the processor, online updating of internal parameters of the GND based on a gradient update to predict updated times-series datasets generated from non-Gaussian distributions.

The invention provides a membrane element, a membrane block, and a membrane separation system, which achieve the effect that water to be filtered can be filtered uniformly via a filtering membrane no matter how high or low the specific resistance of the filtering membrane is. The membrane element (10) comprises a supporting mechanism (frame (14)) supporting the filtering membrane (12) which filters water to be processed and then generates filtered processed water and being provided with a space for accommodating the filtered processed water; multiple branch distribution pipes (28) arranged by extending from the supporting mechanism and used for allowing the filtered processed water to flow out; and a general distribution pipe (30) which connected in a state of being provided with the multiple branch distribution pipes (28) and is equipped with a water collection port (32) capable of enabling the filtered processed water flowed therein from the multiple branch distribution pipes (28) to flow to the outside. The membrane element (10) is characterized in that the physical shape in the general distribution pipe (30) can be changed so as to make the pressure losses from the multiple branch distribution pipes (28) to the water collection port (32) be identical to each other.

The invention relates to a renewable energy technology, in particular to a multi-renewable energy power station power scene generation method considering space-time correlation. The method comprises the following steps of 1, determining assumed conditions and an approximate probability distribution function; step 2, establishing a joint distribution Copula model; 3, generating a scene based on thespatial-temporal correlation of Gibbs sampling; and step 4, removing scenes which are not converged in the burn-in process before sampling points do not completely enter the convergence domain, and leaving renewable energy power station power scenes in the convergence domain. The method is advantaged in that condition distribution of the actual power of the renewable energy power station is represented by truncation general distribution, the most similar approximate probability distribution model can be obtained, and the probability distribution characteristic of the power can be better represented; a Gibbs sampling technology is adopted, so the storage space and the sampling time required by sampling are greatly reduced, and meanwhile, the correlation between wind power and photovoltaicpower is considered, so the method is more comprehensive than a sampling method only considering a single type of renewable energy power station.

The invention provides a high-effective movable sewage treatment device, which mainly includes an energy supply module, a pretreatment module, a chemical treatment module, a bio-treatment module, a precipitate filter module and a deep-processing module. The energy supply module is respectively connected electrically to the pretreatment module, the chemical treatment module, the bio-treatment module, the precipitate filter module and the deep-processing module through a general distribution box; the pretreatment module, the chemical treatment module, the bio-treatment module, the precipitate filter module and the deep-processing module are each provided with a water inlet pipe and a water outlet pipe. The modules are connected to each other in series through the water inlet pipes and the water outlet pipes. The device, according to the concepts of standardization, modularization and integration, solves the problems of single function, complex process, high treatment demand, poor mobility and poor applicability of a movable sewage treatment device in the prior art.

The invention discloses an electric power system dynamic random economic dispatching method and device based on general distribution. The method comprises the steps that day-ahead system load prediction data, day-ahead wind power prediction data and the like are input, it is assumed that a planned output of a wind power plant is a wind power prediction value, the quadratic programming problem is solved to obtain all thermal power unit outputs based on wind power prediction, the wind power prediction value and all the solved thermal power unit outputs are used as initial iteration points of an interior point method, the interior point method is utilized for iteratively solving a converted convex optimization problem with a constraint condition being linearity until iteration is stopped, and the planned outputs of the thermal power units and the planned output of the wind power plant are output. The method has high popularization value and good application prospects.

The present invention discloses improved versatile distribution and versatile mixture distribution models characterizing wind power probability distribution. By selecting an appropriate shape parameter and order, a versatile mixture distribution model is capable of fitting wind power distribution or error distribution in any shape under a precision requirement. A CDF of a distribution function of the model has a closed analytic expression, and an inverse function of the CDF is an implicit function expression, which is applicable to economic dispatch in a wind power integrated system. Compared with fitting performed on actual wind power distribution of an actual wind farm by a Gaussian mixture distribution model, an advantage of a probability distribution model is verified. The method has great promotion value and an excellent application prospect.

The application discloses an optical fiber distribution frame, which belongs to the technical field of communication. The optical fiber distribution frame includes a fusion-matched integrated unit box 1 and a tray 2, wherein: the fusion-matched integrated unit box 1 is installed on the tray 2; the tray 2 is provided with a structure for fixing with the mold strip bracket on the cabinet . The present application can solve the technical problem in the related art that the main distribution frame using the integral mold bar support cannot meet the scene where the optical copper is mixed.

The invention provides a foundation pit temporary power system and a construction method thereof, wherein the foundation pit temporary power system comprises at least one first level distribution boxand at least one second level distribution box, the first level distribution box is mounted at a connection part between a vertical tube and a horizontal tube in a foundation pit water supply and drainage system, one end of the first level distribution box is connected with a general distribution box and the other end thereof is connected with the second level distribution box, and the second level distribution box is mounted at the lower end of the vertical tube, 0.8-1.5m away from the bottom of the foundation pit; and a wire between the first level distribution box and the second level distribution box is bound and fixed on the vertical tube. According to the foundation pit temporary power system provided by the invention, based on the foundation pit water supply and drainage system in the foundation pit, the wire is bound and paved at the same time while the foundation pit water supply and drainage system is constructed, and the wire originally paved and arranged along a pit wall isdesigned to be a three-dimensional power supply system. A project temporary power system is optimized, and potential safety hazard is reduced.