30results about How to "The calculated results are in line with the actual" patented technology

The invention discloses a mountain torrent disaster on-line monitoring and identification early warning method. The method includes the following steps that: a data acquisition subsystem acquires data at a site: an automatic rainfall monitoring station acquires and processes disaster field rainfall information and transmits the information to the system platform of an early warning index analysis model through a wireless mode and / or a wired transmission mode, a water level and / or mud level monitoring station acquires and processes field debris flow and water level information and transmits the information to the system platform of the early warning index analysis model through a wireless mode and / or a wired transmission mode, and a video monitoring station acquires and processes disaster field image information and transmits the information to the system platform of the early warning index analysis model through a wireless mode and / or a wired transmission mode; an identification early warning subsystem performs early warning judgment and issues internal early warnings; personnel are determined, and formal early warnings are issued; real-time monitoring is performed; and information query is performed. The method has the advantages of rapid identification and predictive early warning, and can assist in avoiding loss. The invention also discloses an early warning system using the mountain torrent disaster on-line monitoring and identification early warning method.

The invention discloses a method and a system for measuring and calculating hydroenergy utilization improvement rate of cascaded hydropower stations. The method comprises the following steps that: 1) a data acquisition device acquires actual operating data of the hydropower stations; 2) the data acquisition device transmits the acquired data to a measuring and calculating server; and 3) the measuring and calculating server processes the acquired data, calculates actual generated power and assessed power aiming at the hydropower stations in different adjusting types, and obtains the hydroenergy utilization improvement rate. Due to the method and the system for measuring and calculating the hydroenergy utilization improvement rate of the cascaded hydropower stations, the accuracy of the calculation result of the hydroenergy utilization improvement rate can be improved and a good guiding effect is taken for the scheduling optimization of the hydropower stations.

The invention discloses a method for simulating the coupling between a vehicle and a traction network and a power system, which comprises: firstly, combining the computation of the traction network and the computation of the tidal current of the traction network; secondly, every time a stable result is obtained by the iterative computations of the traction network and the power system, performing the electric vehicle simulation under the condition of a stable result; and finally, performing the correction computation of the traction network and the power system by using the result of the simulation of the electric vehicle till the electric vehicle, the traction network and the power system all reach a stable state. Compared with the conventional traction network computation method, the method for simulating the coupling between the vehicle and traction network and the power system of the invention has the advantages that: the influences of the vehicle and the power system on the traction network are taken into full consideration; on the premise of keeping good computation efficiency, the accuracy of the result of the computation of the traction network is improved greatly and made more in accordance with actual conditions; and the needs of railway / power related departments for traction power supply quality evaluation and electric quality estimation.

The present invention relates to a numerical simulation method for the occurrence of rainfall in the aircraft flight. The method comprises: generating an aircraft flow field space calculation grid; determining flight conditions and rainfall conditions; solving air phase fluid aerodynamic performance data and air phase fluid wall shear stress; solving the local raindrop collection rate and the local raindrop impact mass flow on the surface of the aircraft; solving the increment of the raindrop impact coefficient; taking body-fitted grids on the airfoil surface in the aircraft flow field space calculation grid as surface water film control bodies, setting the air flow attach point, the air flow transition point and the air flow reattach point that are presented on the airfoil surface, and solving the water film thickness of all the surface water film control bodies successively; solving four parameters of the raindrop sputtering model; solving the equivalent water film surface roughness; updating the geometrical shape of the aircraft according to the water film thickness, and reconstructing the aircraft flow field space calculation grid; obtaining updated air phase fluid aerodynamic performance data; and obtaining the aerodynamic performance loss data of the aircraft caused by the rainfall.

The invention discloses a combined heat and power generation unit heat burning cost determination method based on a working condition analysis method. The method comprises the following steps: deducting the coal saving amount of power generation compared with a pure condensation state from the amount of coal with equal heat consumption as the coal consumption amount of the combined heat and powergeneration unit to obtain the heat standard coal consumption bGJ of the combined heat and power generation unit, and the method can accurately determine the heat burning cost of the combined heat andpower generation unit.

The invention discloses a steel structure fire protection design method based on fire heat release rate measurement. The method includes the steps of 1, determining design parameters; 2, measuring heat release rate; 3, calculating the temperature of the outer surface, which plumes rise to, of a fire protective layer of a steel structural member, to be specific, 301, correcting the heat release rate, 302, calculating the temperature of a fire source place, and 303, calculating the temperature of the outer surface of the fire protective layer of the steel structural member; 4, calculating a test section-material comprehensive coefficient; 5, calculating an actual section-material comprehensive coefficient, to be specific, calculating the actual section-material comprehensive coefficient Alpha't according to a similarity relation; and 6, determining a minimum design thickness of the fire protective layer of the steel structural member. The method has the advantages that the steps are simple, the design is reasonable, implementing is convenient, effect is good, and well solved are such problems of the existing methods of calculating thickness of the protective layer of the steel structure that the process includes many steps, calculating time is long, iteration errors are unavoidable, and the influence of an actual fire upon the fire tolerance of the steel structure is not truly reflected.

The invention discloses a calculation method of the inverse problem design of a rotary mechanical vane. The calculation method comprises the following steps: on the basis of a finite element method, calculating displacement situations of all nodes of the vane under the action of fluid force and centrifugal force; calculating a fluid-structure interaction displacement value; by taking a fluid-structure interaction displacement result of the previous step as the reverse increment of predeformation of a next step, regenerating a finite element node and a unit, carrying out fluid-structure interaction calculation, and repeating the cycle; when a latest fluid-structure interaction calculation displacement result is matched with a thermal state vane profile, obtaining a finite element model which meets requirements; converting the finite element model into a geometric model through reverse software. The calculation method which is put forward by the invention is simple and easy to understand, feasible, simple in operation, clear in thinking, high in calculation efficiency and accuracy, and good in residual error stability, and a calculation result conforms to reality.

The invention provides a road expansive soil roadbed deformation estimation method based on humidity balance. Through ingenious design, 1) a two-dimensional finite element numerical analysis model ofexpansive soil roadbed humidity change is established; 2) the change rule of the humidity field of an edge-covered expansive soil embankment within the designed service life is predicted by adopting adamp-heat coupling calculation method of unsaturated soil, not only different cross section types of the embankment and the underground water level are considered, the change rule of the humidity inthe embankment along with time and space is also considered; 3) the expansion coefficient can consider the initial water content and the initial dry density of the soil sample; and 4) the invention provides a wet expansion deformation formula which can consider the initial stress state and the final stress state of the subgrade and is more in line with the actual working state of the subgrade.

The invention provides a future climate building multi-target energy-saving optimization method and system, and the method comprises the steps: generating future hourly climate data according to the obtained historical meteorological data and predicted monthly scale data; determining an optimization target and a decision variable; inputting the decision variable into the building model; importing the building model and future hourly climate data into energy consumption simulation software to obtain building energy consumption and thermal discomfort time; according to the building model, carbon emission in the whole life cycle is obtained through calculation; inputting the building energy consumption, the thermal discomfort time and the full-life-cycle carbon emission into a neural network, and fitting and outputting a target function; inputting the target function into a genetic algorithm to obtain a group of Pareto optimal solutions; and a linear weighted sum method is utilized to set weight coefficients according to requirements, and a final optimization scheme is obtained. Based on the method, the invention further provides an optimization system. According to the method, the influence of future climate change on the building performance is considered, so that the calculation result of the optimization target is more practical.

The invention discloses a simulating method for an electric power system. The simulating method comprises the following steps: establishing an electromagnetic transient model for each load in the electric power system; performing load flow calculation on the electric power system; allocating the electromagnetic transient models for all loads in the electric power system to a plurality of calculating nodes of a parallel computer and detecting whether the electric power system has disturbance; and after the disturbance occurs, performing parallel electromagnetic transient simulation on each electromagnetic transient model in the electric power system and performing electromechanical transient simulation on the electric power system at next electromechanical transient moment by utilizing an electromagnetic transient simulation result, thereby obtaining an electric quantity parameter of the electric power system after disturbance. Compared with the prior art, the simulating method provided by the invention has the advantages that the accurate electromagnetic transient model is introduced into the electromechanical transient simulation, the calculation accuracy is effectively improved,and each electromagnetic transient model is allocated into each node of the parallel computer, thereby fully utilizing the characteristics of parallel calculation, greatly promoting the calculation efficiency and efficiently promoting the calculation accuracy.

The invention belongs to the field of radiation evaluation technology, and relates to a method for calculating concentration of radionuclide from a surface water discharging approach to aquatic organisms. The method comprises the following steps of (1), establishing a radionuclide transferring water power and diffusion model; (2), establishing a model of the radionuclide from water and suspensionsto fishes, and establishing a transferring model of the radionuclide from the suspensions and deposits to benthonic animals; (3), acquiring calculating parameters required in the models established in the step (1) and (2); and (4), calculating the accumulation concentration of the radionuclide in the organism. Through the method for calculating the concentration of the radionuclide from the surface water discharging approach to the aquatic organisms, more radionuclide transferring approaches can be considered based on a non-balanced state of the organism in absorbing the radionuclide, and more factors which affect the transferring factor are considered, thereby making a calculating result more accord with reality.

The invention discloses a redundancy optimization algorithm for a power distribution network comprising a distributed power supply based on ordinal optimization. The algorithm comprises the steps: carrying out the classifying of all power distribution network systems, finding a basic system in each class, and calculating the reliability of each basic system; calculating and obtaining the rough reliability through a first correction method, and carrying out the processing and screening of the rough reliability of all power distribution network systems through an ordinal optimization algorithm BP; calculating and obtaining the precise reliability through a second correction method, carrying out the screening through the ordinal optimization algorithm BP, and finally solving an optimal powerdistribution system through employing the redundancy optimization algorithm. The redundancy optimization algorithm provided by the invention firstly proposes a reliability calculation formula, givingconsideration to the line fault rate, of the power distribution network comprising the distributed power supply, and then the ordinal optimization algorithm BP is employed for the screening, thereby improving a conventional method from the aspects of time and precision, and reducing the calculation time.

The invention discloses a power system reliability evaluation algorithm comprehensively considering both disasters and human factors. The first step is as follows: the transmission lines of the powersystem are divided into four types, aiming at the transmission lines of different power systems and considering the influence of human operation and disaster on line reliability, the reliability of the whole power system is calculated by synthesizing the reliability of all kinds of transmission lines, including four kinds of transmission lines and other equipments of the power system, the reliability including reliability evaluation indexes such as probability of power shortage time and expectation value of power shortage. The invention refines the influence of the external factors on the power system to the influence on the transmission line, combines the influence of the disaster factors and the human factors, perfects the reliability analysis of the power system, and makes the calculation result more in line with the reality.

The invention relates to a simulation method for calculating dynamic response of an EACLD (Enhanced active constrained layer damping) central rigid body-cantilever beam model. According to the invention, on the basis of a traditional active and passive hybrid control method, the influence of the side end element mass and the equivalent spring rigidity is considered at the same time, and high-orderrigid-flexible coupling dynamic equation of a model is established; And numerical simulation is performed on the dynamic response. MATLAB software is used for carrying out numerical simulation of theEACLD central rigid body-cantilever beam model, transverse displacement-time data of the tail end of the beam can be output; through processing of Origin software, technicians in the field can have sufficient data image data support in the dynamic response research of the system, and cross comparison of the data is carried out when other simulation software is used, and the accuracy is improved.

The invention discloses a bedrock yield contribution rate calculation method considering multi-scale cracks. The bedrock yield contribution rate calculation method comprises the following steps: collecting crack information of a rock core scale, establishing a digital rock core under the rock core scale, performing flow simulation based on the digital rock core, and obtaining porosity, equivalent permeability and shape factors under the rock core scale; collecting crack information of a logging scale, establishing a bed rock block model under the logging scale, supplementing a source item of which the fluid channeling rate is qm to a matrix, and obtaining porosity, equivalent permeability and a shape factor under the logging scale based on the bed rock block model; and acquiring crack information of gas well scales, establishing a gas well control range model, supplementing a source item with the fluid channeling quantity of qn for a matrix, and calculating the yield Q of a gas well through finite element flow simulation, so as to calculate the gas production contribution rate of the crack under each scale. According to the method, the gas production contribution rate of the fractures under all levels of scales can be obtained, and a theoretical basis is provided for guiding development of fractured gas reservoirs.

The invention provides a life monitoring system for rotating equipment based on big data, which includes a data processing cloud server, a driving data acquisition module, a maintenance data acquisition module and a transmission module. The driving data acquisition module is used to collect Various status data, the maintenance data acquisition module is used to collect various data of the vehicle during engine maintenance and repair, the transmission module sends all the collected data to the data processing cloud server, and the data processing cloud server is based on a large number of The data simulates the life loss value of the rotary engine; the data processing cloud server will immediately calculate the life loss value of the rotary engine after each stroke, and send maintenance warnings and scrap warnings when specific requirements are met, so that users can timely Carry out maintenance and scrapping in a timely manner to ensure reliability during normal driving.

The invention discloses a method for simulating the coupling between a vehicle and a traction network and a power system, which comprises: firstly, combining the computation of the traction network and the computation of the tidal current of the traction network; secondly, every time a stable result is obtained by the iterative computations of the traction network and the power system, performingthe electric vehicle simulation under the condition of a stable result; and finally, performing the correction computation of the traction network and the power system by using the result of the simulation of the electric vehicle till the electric vehicle, the traction network and the power system all reach a stable state. Compared with the conventional traction network computation method, the method for simulating the coupling between the vehicle and traction network and the power system of the invention has the advantages that: the influences of the vehicle and the power system on the traction network are taken into full consideration; on the premise of keeping good computation efficiency, the accuracy of the result of the computation of the traction network is improved greatly and mademore in accordance with actual conditions; and the needs of railway / power related departments for traction power supply quality evaluation and electric quality estimation.

According to the damage analysis and structure optimization method for the hacking knife arm of the roll paper folding mechanism, the strength of the hacking knife arm is investigated by respectively establishing a kinematic pair gap-free dynamic mathematical model and a kinematic pair gap-containing finite element dynamic model of the folding mechanism, so that the checking result is more accurate; the degree of freedom of the hacking knife arm is obtained by establishing a virtual prototype of a folding mechanism, and the constraint modal analysis of the hacking knife arm is carried out by taking the actual constraint condition of the hacking knife arm as a boundary condition, so that the calculation result is more practical; topologically optimized removal materials are filled through the truss structure, the strength of the hacking knife arm is guaranteed, the structural rigidity of the hacking knife arm is changed by changing the rod width and the rod thickness of the truss triangular units, and therefore the inherent frequency of the hacking knife arm can avoid the working frequency.

The invention discloses a method and a system for measuring and calculating hydroenergy utilization improvement rate of cascaded hydropower stations. The method comprises the following steps that: 1) a data acquisition device acquires actual operating data of the hydropower stations; 2) the data acquisition device transmits the acquired data to a measuring and calculating server; and 3) the measuring and calculating server processes the acquired data, calculates actual generated power and assessed power aiming at the hydropower stations in different adjusting types, and obtains the hydroenergy utilization improvement rate. Due to the method and the system for measuring and calculating the hydroenergy utilization improvement rate of the cascaded hydropower stations, the accuracy of the calculation result of the hydroenergy utilization improvement rate can be improved and a good guiding effect is taken for the scheduling optimization of the hydropower stations.

The invention discloses a method for assessing collapse probability of a steel structure in a fire. The method includes steps: 1, determining a probability distribution function of random factors; 2, designing a random fire scene; 3, building a steel structure instability probability model; 4, determining steel structure collapse critical temperature; 5, calculating a temperature field of a large-span steel structure component in a natural fire: 501, building a steel structure heat balance equation; 502, calculating net absorption heat of the steel structure; 503, calculating temperature rise of the steel structure; 6, determining failure probability of the steel structure component. The method is simple in step, reasonable in design, convenient to realize, good in using effect and high in universality, can realize assessment on collapse probability of the steel structure in the fire and makes up the defect that influence of fire randomness is not taken into consideration in existing steel structure collapse probability assessment methods.

The invention discloses a reliability analysis algorithm of a power distribution network containing distributed power supplies and considering a line fault rate; the algorithm comprises the followingsteps: proposing a distributed power supply power distribution network equivalent series-parallel structure considering the line fault rate, and carrying out equivalent treatment for the distributed power supply power distribution network so as to obtain a series-parallel structure; respectively calculating the reliability of the power distribution network system needing at least one distributed power supply for operation and the reliability of the power distribution network system needing at least a plurality of distributed power supplies for operation. The algorithm can improve a conventional method in the time and precision aspects, thus reducing the calculation time.

The invention discloses a mountain torrent disaster on-line monitoring and identification early warning method. The method includes the following steps that: a data acquisition subsystem acquires data at a site: an automatic rainfall monitoring station acquires and processes disaster field rainfall information and transmits the information to the system platform of an early warning index analysis model through a wireless mode and / or a wired transmission mode, a water level and / or mud level monitoring station acquires and processes field debris flow and water level information and transmits the information to the system platform of the early warning index analysis model through a wireless mode and / or a wired transmission mode, and a video monitoring station acquires and processes disaster field image information and transmits the information to the system platform of the early warning index analysis model through a wireless mode and / or a wired transmission mode; an identification early warning subsystem performs early warning judgment and issues internal early warnings; personnel are determined, and formal early warnings are issued; real-time monitoring is performed; and information query is performed. The method has the advantages of rapid identification and predictive early warning, and can assist in avoiding loss. The invention also discloses an early warning system using the mountain torrent disaster on-line monitoring and identification early warning method.

The invention relates to a graphene oxide conductive glass and a preparation method thereof. The preparation method includes: loading graphene oxide on a glass surface, and connecting two adjacent layers of graphene oxide with a metal ion to obtain graphene oxide conductive glass. Specifically, the metal ion is Mn<2+>; the prepared graphene oxide conductive glass is mainly composed of glass, graphene oxide and metal ion, graphene oxide is attached to the glass surface, and two adjacent layers of graphene oxide are connected by the metal ion, when the layer of graphene oxide on the graphene oxide conductive glass is increased from 10 to 15, the electrical resistivity of the graphene oxide conductive glass is decreased from rho 1 to rho 2, wherein rho 1 is 9-50Ohm.mm, and rho 2 is 0.7-1.0 times of rho1. The method provided by the invention has simple preparation process and is low in cost, and can be used for industrial production; and the prepared graphene oxide conductive glass has excellent electrical conductivity.

The invention discloses a steel structure fire protection design method based on fire heat release rate measurement, comprising steps: 1. Determination of design parameters; 2. Measurement of heat release rate; Calculation of surface temperature: 301. Correction of heat release rate; 302. Calculation of temperature at fire source; 303. Calculation of outer surface temperature of fire protection layer of steel structural members; 4. Calculation of comprehensive coefficient of test section-material; 5. Actual section-material Calculation of comprehensive coefficient: Calculate the actual cross-section-material comprehensive coefficient α′t according to the similarity relationship; 6. Determine the minimum thickness of the steel structure fire protection layer design. The method of the invention has simple steps, reasonable design, convenient implementation and good use effect, and can solve the problem of many calculation steps and long calculation time in the existing calculation method of the protective layer thickness of steel structures, which inevitably produces iteration errors and cannot truly reflect the impact of actual fires. The impact of steel structure fire resistance and other issues.

The invention provides a multi-objective energy-saving optimization method and system for future climate buildings. The method includes: generating future hourly climate data according to acquired historical meteorological data and predicted monthly scale data; determining optimization objectives and decision variables; Input into the building model; import the building model and future hourly climate data into the energy consumption simulation software to obtain building energy consumption and thermal discomfort time; calculate the full life cycle carbon emissions according to the building model; The comfort time and the carbon emissions in the whole life cycle are input into the neural network, and the output objective function is fitted; the objective function is input into the genetic algorithm to obtain a set of Pareto optimal solutions; the linear weighted sum method is used to set the weight coefficient according to the demand , to get the final optimization scheme. Based on this method, an optimization system is also proposed. The present invention considers the influence of future climate change on building performance, so that the calculation result of the optimization target is more realistic.

The invention discloses an oxidation ditch denitrification nitrogen removal control system which is characterized in that a partition wall is additionally arranged at the position where a front denitrification area is communicated with an aerobic area to block water flow, and the front denitrification area is communicated with the aerobic area through a pre-buried flow guide pipe at the bottom ofa pool; a water inlet pipeline is led into the front denitrification area, a carbon source adding device is further arranged beside the water inlet pipeline, a water outlet pipeline is led out from awater outlet of the oxidation ditch located in the aerobic area, and a propeller pump is additionally arranged on the partition wall; and three factors of dissolved oxygen DO, nitrate concentration and carbon source concentration of the oxidation ditch are adjusted through four closed loops so as to facilitate linkage control. According to the oxidation ditch nitrogen removal control system, the denitrification nitrogen removal treatment effect can be effectively guaranteed under the condition of sufficient carbon sources by controlling the dissolved oxygen of the internal reflux mixed liquidand the reflux quantity of the internal reflux mixed liquid in the oxidation ditch.

The invention provides a rotating equipment service life monitoring system based on big data, which comprises a data processing cloud server, a driving data acquisition module, a maintenance data acquisition module and a transmission module; the driving data acquisition module is used for collecting various state data of a vehicle in the driving process; the maintenance data acquisition module is used for acquiring various data of a vehicle during engine maintenance, the transmission module sends all the collected data to the data processing cloud server, and the data processing cloud server simulates a life loss value of a rotor engine according to a large amount of data; the data processing cloud server can calculate the service life loss value of the rotor engine immediately after each section of travel is finished, and sends a maintenance early warning and a scrapping early warning when specific requirements are met, so that a user can carry out maintenance and scrapping in time, and the reliability during normal driving is ensured.