5results about How to "Improve suitability" patented technology

An automobile center console transferring and mounting manipulator comprises a moving trolley, a lifting arm connected to the moving trolley, a supporting connecting rod connected with the lifting arm, a grabbing mechanism mounted on the supporting connecting rod and a controller. A first rotary brake device and a second rotary brake device for controlling rotation are arranged between the moving trolley and the lifting arms and between the lifting arms through supporting connecting rods; the grabbing mechanism comprises a base, two fixing base plates, a left supporting rod, a right supporting rod, suction cups on the left supporting rod and the right supporting rod, and two clamping air cylinders driving the left supporting rod and the right supporting rod to turn over. The two front dragging claws are respectively arranged at the front ends of the left supporting rod and the right supporting rod; and the rear dragging claws are arranged on the inner side surfaces of the bending parts of the two supporting plates of the base. According to the utility model, the technical pattern of manual carrying and assembling of the traditional automobile center console is solved, and the integration of grabbing, carrying, transferring and mounting of the automobile center console is realized.

The utility model relates to the field of lifting arm tooling, especially to novel high -efficient explosion -proof lifting arm tooling, including mounting seat, still including lifting arm main part and tooling lifting ring, the downside of the front and rear both ends of lifting arm main part all are established buffer groove, the inside of buffer groove is fixedly installed with shock absorber all in the upper and lower both ends, the inside of buffer groove is fixedly installed with support slide bar all in the left and right sides, the surface of support slide bar is provided with connecting sliding block, the utility model discloses using the original explosion -proof bottoming machine lifting device to carry out the reform, designs the explosion -proof lifting arm tooling that accords with technical requirement, provides the forceful lifting piece that old special vehicle tire is lifted through tooling lifting ring, and the convenient rope or other tool connection fixed, when connecting hoisting old special vehicle tire, utilizes connecting sliding block to cooperate support slide bar and transmits the instantaneous tension to shock absorber, utilizes shock absorber to consume the instantaneous impact force that generates when hoisting greatly, can solve the safe and efficient placement of old special vehicle tire to the racking top beam position under the well.

The invention discloses an efficient implementation method for wheat breeding, and relates to the technical field of crop genetic breeding, and the method comprises the following steps: S1, setting a parent screening index system based on a target breeding demand, analyzing and calibrating indexes through big data, and screening parent materials conforming to the index system, hybridizing by using a flowering phase regulation and control technology and artificial pollination to obtain F1-generation seeds; and S2, constructing a filial generation stepped cultivation system, and carrying out expanding propagation from F1-generation mixed germplasm to F4-generation strain planting. According to the efficient implementation method for wheat breeding, by comprehensively applying technical means such as big data analysis, molecular marker-assisted selection and a stepped cultivation system, the efficiency and accuracy of wheat breeding are remarkably improved, parent screening indexes are calibrated by means of big data, the suitability of genetic differences of parent materials is ensured, and the method is suitable for popularization and application. A foundation is laid for polymerization of excellent characters, the breeding period is effectively shortened, and the completeness of standard execution and data recording is ensured.

The application relates to a semi-arid region plant productivity recovery method, relates to the field of ecological restoration technology, and aims to solve the problem that the existing semi-arid region rainfall unevenness leads to poor plant productivity recovery effect. Method: I. selecting a semi-arid region vegetation degradation land as a target recovery sample land, and conducting vegetation investigation; II. dividing the target recovery sample land into a plurality of independent restoration units, and forming a concave landform by digging potential pools in the independent restoration units; III. according to the vegetation investigation result, the landform is divided into xerophytic vegetation zones, hygrophytic vegetation zones and emergent vegetation zones in equal width from top to bottom according to slope, and vegetation configuration is conducted; IV. transplanting dominant vegetation, and supplying water according to the suitable growth water level of the configured plants. The application integrates micro-landform modification and vegetation configuration, the micro-landform modification creates a composite habitat, the growth requirements of different plants are met, after the plants are colonized, the plants can reproduce through seeds and rhizomes, the micro-landform modification is helpful for seed interception, compensation of a seed bank, and the plant productivity recovery is promoted.

The application provides a carbon emission calculation method and device based on big data, the method comprises the following steps: obtaining load power information, power grid voltage information and power grid current information of a power grid; setting configuration parameters for the power information, power grid voltage information and power grid current information according to the attribute characteristics of input power, and generating a prediction set; inputting the prediction set into a convolutional neural network training, including encoding data, inputting the encoded data into a convolutional layer, the convolutional layer extracts feature data according to the time period continuity of the data, and generates a time power graph and a time load graph according to the feature data, inputs the time power graph and the time load graph into a fusion layer for fusion to generate a fusion graph; and calculating carbon emission according to the fusion graph. The application directly calculates the carbon emission of the power grid voltage, current and load data by using the convolutional neural network model, the data acquisition is simple, the calculation is relatively accurate, and the applicability is strong.