47results about How to "Guarantee applicability" patented technology

The invention discloses an automatic adjusting type fluent strip goods shelf, and particularly relates to the technical field of fluent strips. The automatic adjusting type fluent strip goods shelf comprises six frame transverse strips, wherein sealing blocks are arranged at the left ends and the right ends of the corresponding two frame transverse strips respectively, supporting rods are slidably connected to the upper surfaces of the sealing blocks, the top ends of the supporting rods are fixedly connected with frame vertical rods, the top ends of the frame vertical rods are fixedly connected with connecting blocks, the right side face of the left frame vertical rod is fixedly connected with a mounting shell, and two fluency strip frames are slidably connected into the mounting shell. By arranging an air pressure device, a fluency strip frame, an elastic device and a pushing device, compared with the prior art, the situation that small or large goods fall or topple during transportation is reduced, the stability of the fluency strip goods shelf during goods transportation is further guaranteed, and when the fluency strip goods shelf is used, the condition that the goods fall off to be damaged or lost is not prone to occurring, and therefore the applicability of the fluency strip goods shelf is guaranteed.

The invention discloses a method for predicting and predicting the deformation of expansive surrounding rock in a long-distance tunnel in advance, in particular to the method for discriminating expansive rock mass and predicting and predicting the deformation of expansive surrounding rock based on advanced pilot tunnels and intelligent feedback technology. During the construction period, the stratum in front of the face of the tunnel is discriminated against the expansibility and degree of expansion of the rock mass, and then the composite expansion viscoelastic-plastic model is used to conduct intelligent feedback analysis according to the actual deformation of the surrounding rock to obtain the surrounding rock that meets the site conditions. Mechanical parameters, realize the quantitative prediction of expansive surrounding rock, quantitatively predict the deformation law and magnitude of surrounding rock, and provide a basis for the design optimization and construction plan demonstration of expansive surrounding rock support.

The invention relates to a backpack type meteorological monitor support case used in high-mountain environment. The backpack type meteorological monitor support case is characterized in that a flexible solar panel is attached to the outer surface of a case body, a global positioning system support, a temperature and humidity sensor support and a wind speed sensor support are arranged outside the support case, an air pressure sensor is arranged at an air pressure sensor mounting position in the support base, the connecting wire of the sensor is connected with a data collector inside the support case through an entrance hole, the flexible solar panel on the surface layer of the support case is connected with a gel battery, the gel battery is connected with the data collector through a solar power supply controller, locking buckles are arranged on the two sides of the support case, and backpack straps are arranged on the back face of the support case. The backpack type meteorological monitor support case is light, and has the advantages of being movable and capable of supplying power, resisting water and falling, and being easy to carry on the back in the operation process, data collecting personnel carry out meteorological data collection in real time through the backpack straps.

Disclosed is a tunnel side wall support design method based on a weak plane shear support theory. The tunnel side wall support design method comprises the following steps: building a force balance mechanical model for a slip failure of a rock mass around a half coal and rock tunnel along a certain weak plane α under the action of an external force; judging a critical condition at which a shear failure occurs on surrounding rocks on a half coal and rock tunnel side wall; determining that the shear strength on an inner side of the tunnel in a direction of 45° is maximum; building a support mechanical model for the half coal and rock tunnel side wall based on the shear strength principle that the rock mass needs to be pressed against the largest shearing weak plane on the largest shearing block after being reinforced and supported by anchor rods; and providing a calculation formula for the number n of the anchor rods on the weak planes on the tunnel side and a length li of the i-th anchor rod in order to design the tunnel side wall support. By means of the method, support materials are reduced, the support cost is reduced, and a beneficial reference is provided for the scientific performance and applicability of support parameters.

The invention provides a method for preparing a culture medium of beech mushrooms and needle mushrooms by utilizing a waste material of an agaric culture medium. The method comprises the following steps: (1) collecting and materializing treatment for the waste material of the agaric culture medium: selecting a qualified fungus bag for debagging, crushing under tiny wet state, adding a modifier while crushing to adjust a pH value to be 6.0-7.0, and standing in sunlight for exposing 2-8 days or drying for 6-12 hours at 65-75 DEG C until the water content is 10%-13% for later use, and (2) nutrient balancing preparing for the culture medium: taking 65-75% of processed agaric waste materials, 10-25% of bran or rice bran, 2% of bean flour, 5-10% of corn flour, 0.5% of white sugar, 1-2% of calcium superphosphate or potassium phosphate, 1-2% of gypsum and 0.5-1% of magnesium sulfate, and then adding water until the water content is 55%-65%, and uniformly stirring after an absorbing nutritional solution of 0.3-2.5% nutritional type biopolymer is saturated. According to the method, the cost is low, the yield is high, the waste is efficiently reused and the environmental pollution is reduced.

The invention discloses an on-line dynamic balance adjustment system based on a temperature-controlled shape memory alloy and a control method thereof. The system comprises a balance head body. The balance head body comprises a shell. A rotating shaft passes through a through hole in the center of the shell to be fixedly connected with the shell. Four mass blocks are arranged around the through hole in the shell. Each mass block sleeves on an arc-shaped slide bar through an arc-shaped channel arranged on the mass block. Each arc-shaped slide bar is circumferentially distributed around the through hole. The two ends of each arc-shaped slide bar are fixed on the bracket in the shell. The arc-shaped slide bar arranged between the two ends of each mass block and the bracket is sleeved with a spring-shaped shape memory alloy. The spring-shaped shape memory alloy is electrically connected with the rotor part of a conductive slip ring, and the stator part of the conductive slip ring is electrically connected with a power supply device. The bearing support of the rotating shaft is provided with a vibration sensor used for measuring the imbalance amount in all directions during rotation ofthe rotating shaft. The dynamic balance can be realized through the current change, the principle is simple and miniaturization is easy and the system is suitable for high-precision rotor dynamic balance.

Provided is a gap-type heating device for an upper guide bearing collar of a large hydroelectric generating set. The upper guide bearing collar is of a detachable structure. A heating assembly is composed of three segments of heating units which are separated by detachable gap adjustment sheets. The gap between the heating device and the upper guide bearing collar is designed to be 9-12mm, heat is transferred through heat radiation, and the surface of the guide bearing collar is effectively prevented from being burnt in the heating process. The whole heating device is closed, and the heating sheets are isolated from the outside, so that the heating sheets are prevented from scalding people. The insulation and grounding of the heating device are in line with the requirements. Thus, on-site unsafe factors are effectively reduced.

The invention discloses a CNT:SNC:PEDOT ternary water-based conductive ink and a preparation method thereof. The method comprises: adding carbon nanotubes into the sulfated nanocellulose aqueous dispersion, dispersing evenly to obtain a CNT:SNC dispersion; adding EDOT monomer to the CNT:SNC dispersion, and stirring evenly to obtain a mixed solution; Ammonium persulfate and ferric chloride are added to the mixed solution, and polymerization reaction is carried out under an inert atmosphere to obtain the CNT:SNC:PEDOT ternary water-based conductive ink. The CNT:SNC:PEDOT ternary conductive ink has the advantages of water-based environmental protection, good stability, good adhesion, no heating and curing, and strong versatility. At the same time, the advantages of stable dispersion, high conductivity, excellent printing adaptability and coating mechanical stability make the conductive ink in the present invention expected to be applied to printing various flexible electronic devices.

The invention belongs to the technical field of data analysis and modeling, and discloses a visual analysis method for urban region relations based on trajectory distribution representation; a method for dividing urban regions based on trajectory data, which divides urban geographical space into appropriate regions, and converts the trajectory into regions. Aggregation flow among them; A regional vectorization model based on word embedding technology is proposed, considering the interaction between urban locations and moving objects, vectorized coding of urban regions, and exploring the differences of different regions in the trajectory according to the similarity between regions Location information and connection relationship; design and develop a visual analysis system for analyzing area vectors and exploring crowd movement patterns, based on the area vector space, and through the linkage mechanism of visual views, it supports analysts from global overview to local crowd movement patterns Analysis, and finally to the reasoning process of exploration of contextual details. Guarantee the applicability and effectiveness when assisting urban planners to make corresponding traffic decisions.

The invention relates to a robust optimization method for airport resource scheduling, which belongs to the technical field of airport resource allocation and solves the problems of poor robustness and low solution efficiency of existing airport parking stand scheduling schemes. Including building an objective function based on the gate operating cost, gate robustness cost and tractor usage cost, establishing a scheduling optimization model and converting it to a linear relaxation model; constructing a corresponding weighted directed graph based on the aircraft activity set of each gate ; Obtain the initial set of scheduling schemes for each parking position, solve the solution of the restricted master problem, calculate the dual variable, obtain the shortest path of the weighted directed graph of each parking position and its inspection number in a loop, and set the inspection number less than 0 The scheduling scheme corresponding to the shortest path is added to the scheduling scheme set and continues to be solved until the solutions of the constrained master problem are all integer solutions; based on the integer solution and the final scheduling scheme set, the gate scheduling optimization scheme is obtained. Realized the reasonable and efficient allocation of airport resources.

The invention discloses a battery SOH prediction method based on unsupervised transfer learning. By extracting the features of two batteries, a domain matching algorithm is used to adjust the two feature spaces, so that the conditional distribution and marginal distribution of the two feature spaces match , and by adjusting the sample weights, the weights of two spatially related samples become larger, and the weights of unrelated samples become smaller; in this way, one battery data can be used for training through domain matching, and ordinary machine learning algorithms can be used to predict another battery. SOH has the advantages of high applicability, high prediction accuracy, and simple implementation.