8results about How to "Eliminate operational errors" patented technology

The utility model belongs to the field of bilateral straightening machines, and particularly relates to a bilateral straightening machine for H-shaped steel flanges, which comprises a left side plate and a right side plate, mounting plates are fixedly connected to two ends of the left side plate and the right side plate, and placing blocks are fixedly connected to side surfaces of the left side plate and the right side plate. Pressure assemblies are fixedly connected to the two sides of the mounting plate and the two sides of the containing block correspondingly. Each pressure assembly comprises a hydraulic push rod fixedly connected to the surface of the mounting plate and the surface of the containing block and a pressing plate fixedly connected to the bottom end of the hydraulic push rod. Through a connecting rod and inserting hole matching structure arranged between the left side plate and the right side plate, quick dismounting and positioning of the two side plates are achieved, a modular correction unit is formed by combining a placing block and pressure assemblies symmetrically distributed on the two sides of a mounting plate, the overall size is effectively reduced, portability is improved, and the equipment can meet temporary correction requirements of different construction scenes; the problems that a traditional straightening machine is complex in structure and inconvenient to move are solved.

The invention discloses a high-flux toxicity pre-evaluation substitution method based on an acetylcholin esterase target. By integrating an SH-SY5Y nerve cell endogenous AChE and recombinant exogenous AChE dual detection system and relying on an automatic screening system constructed by integrating core equipment such as an automatic pipetting workstation, a constant-temperature incubator and a multifunctional microplate reader, a high-flux toxicity pre-evaluation substitution method based on an AChE target is successfully established and is used for evaluating the neurotoxicity of a compound, and the method has the advantages of high sensitivity, high sensitivity, high sensitivity and the like. The method solves the limitation that a single screening method in the prior art cannot evaluate factors such as target inhibition, cell permeability and metabolic transformation at the same time, and the method is simple, convenient, rapid, high in accuracy and suitable for large-scale primary screening of the AChE inhibitor and early warning of neurotoxicity risks.

The application discloses a near-shore-based unmanned aerial vehicle rapid response deployment method and application, relates to the technical field of near-shore unmanned aerial vehicle emergency scheduling, and comprises the following steps: receiving a task request containing an incident location, an event type and a level, dynamically screening a candidate unmanned aerial vehicle airport and obtaining a real-time state of the candidate unmanned aerial vehicle airport. A plurality of alternative deployment schemes are generated based on multiple information, risk assessment and timeliness calculation are performed on each scheme, and the optimal scheme is selected through comprehensive trade-off. Detailed instructions containing a target unmanned aerial vehicle airport, an accurate flight path and a task load configuration are generated according to the optimal scheme, and the detailed instructions are sent to the target unmanned aerial vehicle airport, so that the unmanned aerial vehicle automatically completes the whole process operation of taking off, route flying and load activation. The method realizes multi-target intelligent optimization of a response scheme and full-link automation of an execution process, and improves the speed and decision reliability of emergency response in a near-shore task scene.

The invention discloses a method and a system for constructing a three-dimensional model of a power plant by fusing photographing and scanning data of an unmanned aerial vehicle, belongs to the technical field of three-dimensional modeling, and can improve the modeling precision of the three-dimensional model of the power plant. Comprising the following steps: acquiring power plant image data acquired through an unmanned aerial vehicle oblique photography technology; generating first power plant point cloud data and a first power plant three-dimensional model based on the power plant image data; performing defect detection on the first power plant three-dimensional model to obtain a plurality of defect areas of the first power plant three-dimensional model; acquiring second power plant point cloud data corresponding to the plurality of defect areas acquired through a three-dimensional laser scanning technology; preprocessing the first power plant point cloud data and the second power plant point cloud data, wherein the preprocessing comprises noise removal and filtering; performing point cloud registration operation on the preprocessed second power plant point cloud data and the first power plant point cloud data; and generating a second power plant three-dimensional model according to the power plant image data and the registered second power plant point cloud data.

The invention relates to a clean room fresh air conditioner seasonal mode automatic regulation and control method based on an enthalpy humidity diagram and a clean room fresh air conditioner. The method comprises the steps that temperature and humidity signals of outside air are collected through a temperature and humidity sensor; the controller calculates the moisture content and the enthalpy value based on the temperature and humidity signals; based on the calculated moisture content and enthalpy value, the controller judges a current seasonal mode by utilizing enthalpy humidity diagram information, when the moisture content and the enthalpy value fall in a preset winter area in an enthalpy humidity diagram, the current seasonal mode is judged as a winter mode, when the moisture content and the enthalpy value fall in a preset summer area in the enthalpy humidity diagram, the current seasonal mode is judged as a summer mode, and otherwise, the current seasonal mode is judged as a spring and autumn mode; and the controller outputs a control signal of a corresponding mode based on the judged seasonal mode so as to start a corresponding functional section in the air conditioning system. Compared with the prior art, the method has the advantages that the winter, summer or spring and autumn modes are triggered quickly and accurately according to the external temperature and humidity, so that inaccuracy and high energy consumption caused by manual intervention are avoided.

The invention discloses a linear shrinkage-swelling detector for hard inorganic block materials, comprising a horizontal adjustment foot, an instrument base, a reference platform, a standard rod placement block (including a support positioning rod), a detachable high-precision pad, a digital display vernier distance ruler starting position adjustment positioner, a digital display vernier distance ruler, a digital display vernier distance ruler measurement end position adjustment positioner 1, 2, a digital display vernier distance ruler reading display, a digital display micrometer, a standard measuring rod, and a test piece drawing board; the device realizes the function set of a digital display vernier caliper, a length ratio meter, a standard length rod, and a micrometer, effectively realizes the fast, accurate, and stable measurement of the linear length of the inorganic block material, and solves the problem of free measurement of the linear length of materials of different sizes and convenient adjustment of different test accuracies.

The invention discloses a data, table and account space integrated intelligent data processing and collaborative architecture, relates to the field of data processing and intelligent management, and solves the technical problems that in the prior art, management of various tables and accounts is time-consuming and labor-consuming, and is difficult to quickly adapt to dynamic business scenes. The method specifically comprises the steps that a human-computer interaction layer analyzes storage data streams of all business processes, whether the storage data streams have acquirability or not is used as table category division, meanwhile, importance distinguishing is carried out to obtain key types and non-key types, tables are constructed in different scenes, data floating is recorded, and decision making is carried out according to floating marks; the business account checking layer constructs account data, forms an account data chain according to the account data, performs adjustment synchronization according to data floating, keeps adjustment records to construct an account checking chain, and the financial process stores and monitors the account data chain and the account checking chain.

This invention discloses a precise and rapid identification device for elements in drilling cuttings, relating to the field of geological exploration equipment. It includes a housing, a sample processing component, a rotating multi-station sample tray, an X-ray detection component, a cleaning component, a data calibration module, and a human-machine interface component. The sample processing component sequentially feeds, grinds, and presses the drilling cuttings into standard samples. The rotating multi-station sample tray carries the samples and moves them between stations. The X-ray detection component irradiates the samples and acquires elemental data. The data calibration module uses a machine learning model to correct the raw data in real time. The cleaning component automatically cleans the sample cups after use. This invention achieves a fully automated, integrated workflow from sample feeding to analysis, solving the problems of non-standard sample pretreatment, low detection efficiency, and poor data accuracy in the field, significantly improving the speed and accuracy of element identification in drilling cuttings.