97 results about "Elementary particle" patented technology

A mesostructured aluminosilicate material is described, constituted by at least two spherical elementary particles, each of said spherical particles being constituted by a matrix based on silicon oxide and aluminium oxide, having a pore size in the range 1.5 to 30 nm, a Si / Al molar ratio of at least 1, having amorphous walls with a thickness in the range 1 to 20 nm, said spherical elementary particles having a maximum diameter of 10 μm. A process for preparing said material and its application in the fields of refining and petrochemistry are also described.

The invention relates to the technical field of reactive powder optimization of a power distribution network of a power system, and particularly relates to a tabu particle swarm algorithm based reactive power optimization method of a power distribution network. According to the situation that a basic particle swarm algorithm in the optimization process can be easily trapped in local optimization, the invention discloses the improved method by the combination of a tabu search algorithm, and the defect that the particle swarm algorithm can be easily trapped in local optimum is overcome by utilizing the memory function and the characteristic of high climbing ability of the search algorithm; meanwhile, learning factors c1 and c2 which change as the increase of iterations and an inertia weight coefficient Omega are introduced in a particle position and a speed upgrading equation of the particle swarm algorithm, and the problem that the particle swarm algorithm can be easily trapped into the local optimum is further solved. By the combination of the two intelligent optimization algorithms, the optimization capability is improved greatly; the tabu particle swarm algorithm based reactive power optimization method is much suitable for departments relevant to a power system and the like to implement reactive power optimization of the power distribution network.

The present invention relates to an image thermal apparatus including a flexible metallic sleeve, the inner peripheral surface of which contacts a heater. In order to provide increased durability for the sliding face of the heater, an imide resin that contains silicon nitride elementary particles is used to coat the sliding face of the heater.

The present invention relates to an image thermal apparatus including a flexible metallic sleeve, the inner peripheral surface of which contacts a heater. In order to provide increased durability for the sliding face of the heater, an imide resin that contains silicon nitride elementary particles is used to coat the sliding face of the heater.

The invention discloses a particle swarm optimization method based on survival of the fittest and step-by-step selection. The method mainly comprises the steps that particles are divided to two sets in the operating process, the first set of particles are superior particles, and the second set of particles are inferior particles. A solution space is searched for in the global scope through a species, and the global searching ability is enhanced; after each time of evolution, m the best particles in the species are maintained, the position spaces of better particles of the m particles are selected as new solution spaces, new particles are selected to replace the position of poor particles in the species in the new solution spaces, in this way, the optimal particles can be approached step by step, and the optimal solution is found out. The searching ability of the particle swarm optimization method is enhanced, the defects that a fundamental particle swarm optimization algorithm easily falls into local extremum or premature convergence or stagnation are overcome, and the optical values of parameters to be optimized can be more accurately and quickly found out.

The present invention relates to a set of multi-doped cerium-activated scintillation materials of the solid solutions on the basis of the rare earth silicate, comprising lutetium and having compositions represented by the chemical formulas: (Lu2-w-x+2yAwCexSi1-y)1-zMezJjOq and (Lu2-w-x-2yAwCexSi1+y)1-zMezJjOq. The invention is useful for detection of elementary particles and nuclei in high-energy physics, nuclear industry; medicine, Positron Emission Tomography (TOF PET and DOI PET scanners) and Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography with Magnetic Resonance imaging (PET / MR); X-ray computer fluorography; non-destructive testing of solid state structure, including airport security systems, the Gamma-ray systems for the inspection of trucks and cargo containers.

The invention discloses a power distribution network power supply power restoration method based on a photovoltaic power generation system, and the power distribution network power supply restoration method is characterized in that after a power grid is widely blacked out, and island division is conducted for a photovoltaic system, so that the non-fault blackout area is maximally powered on the premise of maintaining the power of important loads. The power distribution network power supply power restoration method comprises the steps of determining an after-failure photovoltaic power generation system island dividing scheme, and determining a segmental switch configuration position needing to be disconnected when the island dividing scheme is actuated; examining whether a failure branch downstream contains the photovoltaic power generation system or not after the failure happens, and switching the photovoltaic power generation system to be operated in an island form if the failure branch downstream contains the photovoltaic power generation system; finding a segmental position and a blackout area branch segmental switch position needing to be disconnected when the photovoltaic island is formed; adjusting the after-failure power distribution network structural information, searching a restorable route of a non-failure blackout area, determining the quantity of operable segmental switches and contact switches, and determining a basic particle vector; and solving a power distribution power restoration scheme of a non-failure blackout area outside the island according to a binary particle group optimization algorithm.

The present invention concerns a catalyst comprising at least one crystalline material comprising silicon with a hierarchical and organized porosity and at least one hydrodehydrogenating element selected from the group formed by elements from group VIB and / or group VIII of the periodic table of the elements. Said crystalline material comprising silicon with a hierarchical and organized porosity is constituted by at least two spherical elementary particles, each of said particles comprising a matrix based on oxide of silicon, which is mesostructured, with a mesopore diameter in the range 1.5 to 30 nm and having microporous and crystalline walls with a thickness in the range 1.5 to 60 nm, said elementary spherical particles having a maximum diameter of 200 microns. The invention also concerns hydrocracking / hydroconversion and hydrotreatment processes employing said catalyst.

A material with a hierarchical porosity is described, constituted by at least two spherical elementary particles, each of said spherical particles comprising zeolitic nanocrystals having a pore size in the range 0.2 to 2 nm and a matrix based on silicon oxide, which is mesostructured, having a pore size in the range 1.5 to 30 nm and having amorphous walls with a thickness in the range 1 to 20 nm, said spherical elementary particles having a maximum diameter of 10 μm. the matrix based on silicon oxide may contain aluminium. The preparation of said material is also described.

A mesostructured aluminosilicate material is described, constituted by at least two spherical elementary particles, each of said spherical particles being constituted by a matrix based on silicon oxide and aluminium oxide, having a pore size in the range 1.5 to 30 nm, a Si / Al molar ratio of at least 1, having amorphous walls with a thickness in the range 1 to 20 nm, said spherical elementary particles having a maximum diameter of 10 μm. A process for preparing said material and its application in the fields of refining and petrochemistry are also described.

The invention relates to a thermal power generating unit system model parameter identification method. A self-adaptive thought, a Cauchy variation factor and a gradient guidance crossover theory are introduced to improve a basic particle swarm algorithm, parameters of an established model are identified, a difference value between actual operation data and model data is regarded as an algorithm fitness function value, model parameters are identified and optimized to obtain a model suitable for a system, a main throttle valve opening degree-power model, a combustion system and a load system, which are obtained through identification by adopting the improved self-adaptive Cauchy variation gradient guidance crossover particle swarm algorithm, have good effect of outputting fitting field actual data, a transfer function obtained through identification structurally conforms to theoretical analysis and conforms to actual operation conditions of the unit in the aspect of parameters, and the thermal power generating unit system model parameter identification method has good unit analysis and research value.

The invention discloses a vehicle state estimation method based on adaptive volume particle filter (ACPF), which comprises the following steps: firstly, constructing a high-dimensional nonlinear eight-degree-of-freedom vehicle dynamic model based on an unsteady state dynamic tire model; secondly, updating an importance density function of a basic particle filtering algorithm by utilizing an adaptive volume Kalman filtering algorithm so as to complete the design of the adaptive volume particle filtering algorithm; achieving high-precision online observation of key state variables such as roll angle and side slip angle of a vehicle by using vehicle-mounted sensor information and an ACPF algorithm; finally, building a Simulink-Carsim joint simulation platform for algorithm verification. The result shows that the algorithm state estimation precision is higher than that of a traditional unscented particle filter (UPF) algorithm, and the algorithm operation efficiency is higher than that ofthe UPF algorithm.

An artificial magnetic field and a natural gravitational field have cancellation or promotion interference effect at the quantity level with the same intensity according to a fundamental particle background procession magnetic field quantum gravity formula and a fundamental particle background procession magnetic field nature provided by a unified theory of ultimate segmentation, which is called the natural gravity field interference effect. A method for manufacturing and maintaining an artificial gravity field environment of weight loss or overweight, unilateral gravity occurrence, and the like by applying a coherent field interference mechanism and inherent technical parameters of the natural gravity field is called the interference method of the natural gravity field. The interference method of the natural gravity field can be realized into a natural gravity field interference device, which is short for a gravity machine according to the operation principle and the technical characteristic. Comparing the natural gravity field interference method with the other processes for manufacturing and maintaining weight loss or overweight and unilateral gravity occurrence, the invention has the technical characteristic of applying the coherent field interference mechanism and the inherent technical parameters of the natural gravity field. The so-called nature means natural essence and natural parameters.