11results about How to "Overcome risk" patented technology

This invention relates to the field of grouting technology, specifically disclosing an adaptive micro-expansion organic-inorganic hybrid grouting and sealing material and its preparation method, which consists of two components, A and B: Component A is a pumpable viscous liquid, comprising the following components by weight: 90-110 parts of castor oil-based polyurethane prepolymer, 5-15 parts of sulfonate-modified nano-montmorillonite, 8-15 parts of plasticizer, and 3-8 parts of functional nanofibers; Component B is a free-flowing solid powder, which is a microencapsulated water-based curing agent, used in an amount of 10-30 parts by weight. This invention utilizes the ordered interlayer water absorption characteristics of sulfonate-modified nano-montmorillonite to achieve mild and controllable micro-expansion upon contact with water, effectively overcoming the risks of excessive internal stress and structural damage caused by the violent and uncontrollable foaming of traditional hydrophilic materials, ensuring the safety and effectiveness of filling in a closed base plate environment.

This invention discloses a large-arc bend injection mold and molding method, belonging to the field of injection molding technology. The mold includes a moving mold, a fixed mold, and a core mold with a circular arc core; it also includes a demolding drive mechanism for driving the core mold and product to generate a first displacement away from the fixed mold; and a pointer-type rotary demolding mechanism, which includes a pointer push rod and a push ring rotating around the axis of the circular arc core. During demolding, after the product is lifted with the core mold, the pointer push rod drives the push ring to swing along the circular arc path to push the product out. This invention also reduces the covering force by performing pre-demolding through an assisted demolding mechanism and ensures the stability of the core mold during injection molding using a core positioning mechanism. This invention replaces the traditional hot bending process with one-time injection molding, solving the problems of low production efficiency, poor roundness, and easy cracking caused by thermal stress in existing technologies for large-arc bend pipes, significantly improving the geometric accuracy and operational reliability of the product, and is particularly suitable for ultra-high voltage converter valve cooling system pipelines.

The invention relates to the field of physical testing technologies and systems, and discloses a bridge steel structure defect nondestructive testing system based on infrared thermal imaging, which comprises an unmanned aerial vehicle integrated with an infrared thermal imaging detection device and a ground computing station. The unmanned aerial vehicle flies along a planned path, transient thermal excitation is applied through a thermal excitation device, and dynamic thermal response data of the surface of a pre-coated infrared coating is collected by synchronously utilizing an infrared thermal imager. And the ground computing station performs space-time fusion preprocessing on the returned data to obtain a standardized panoramic temperature field image, and inputs the standardized panoramic temperature field image into a convolutional neural network model which fuses physical mechanism constraints and has an online self-optimization function for intelligent analysis. According to the method, signals are enhanced through the coating, efficient inspection is achieved through the unmanned aerial vehicle, the recognition precision and generalization ability are guaranteed through the physical information fusion model, continuous evolution is achieved in combination with online self-optimization, and a high-sensitivity, full-automatic and quantitative bridge steel structure defect intelligent detection solution is formed.

The invention discloses an intelligent terminal protective cover and a using method. The intelligent terminal protective cover comprises a base frame, a cover shell fixed to the base frame, at least two sets of locking components arranged around a clamping space, connecting rods in one-to-one correspondence with the locking components and a driving component. Each locking part is elastically hinged to the base frame through a first elastic piece and can swing between an opening position and a clamping position. The driving part penetrates through the housing and is hinged to all the connecting rods, and the locking part is synchronously driven to move by driving the connecting rods. When the locking part moves from the opening position to the clamping position, the transmission path upwards crosses the dead point position to achieve self-locking, and stable clamping is maintained. When the locking member is opened, the transmission path maintains the open state downward across the dead point position. Through the tool-free operation that locking is achieved when the cover shell is pressed downwards and unlocking is achieved when the pivot is pressed downwards, the over-dead-point self-locking mechanism is combined, rapid disassembly and assembly and high-reliability locking are achieved, and the problems that an existing protective cover is tedious in installation, prone to loosening and poor in adaptability are effectively solved.

The invention relates to the technical field of biological medicine, and discloses a multi-modal data analysis method for drug screening safety evaluation. By setting experiment duration and sampling intervals, multi-modal data such as genes and metabolites are collected from a drug treatment group and a control group at multiple time points, dimension standardization is performed on the two groups of data based on statistical characteristics of the control group, a comprehensive state vector is constructed, state changes of adjacent time points are utilized to form a discrete time differential component and a state evolution function, and a state evolution function is established. The method comprises the following steps: generating two groups of theoretical trajectories through initial state iteration, comparing the theoretical trajectories with actual observation at each time point to evaluate a multi-dimensional error, performing double accumulation in time and state dimensions to obtain a toxicity index of a drug treatment group and a baseline toxicity index of a control group, and calculating a dimensionless safety score for drug grading according to the relationship between the toxicity index and the baseline toxicity index. Therefore, the limitation of dependence on a single index or a single time point is overcome, and the multi-modal data fusion and full-cycle toxicity quantification capabilities are improved.

The invention provides a loading control system with multi-level security protection, and a security control system with multi-level protection is constructed through a co-processing architecture integrating data acquisition and fusion, digital twin synchronization, intelligent decision and independent hardware security arbitration. According to the method, intelligent risk assessment and pre-judgment strategy generation can be performed based on multi-source data fusion and virtual model comparison, and a hardware-level security execution loop which directly monitors an original signal and is independent of main decision-making software is set, so that under the condition of any software layer fault or delay, the safety of the decision-making software is ensured to be improved. And the rapid emergency protection with the highest priority can be triggered when the structure test loading process is finished, so that the problems of single-point failure risk and response delay of the traditional centralized safety control system are fundamentally solved, and the omnibearing and high-reliability safety protection of the structure test loading process is realized.

The application discloses a lacrimal passage epithelial organoid and a construction method and application thereof, and the construction method comprises the following steps: S1, preparation of a three-dimensional biomimetic support; S2, acquisition of lacrimal passage epithelial stem cells; and S3, construction and culture of the organoid. The PCL / GEL nanofiber support constructed by the electrospinning technology is combined with Matrigel coating, the extracellular matrix (ECM) microenvironment of the in-vivo lacrimal passage mucosa is successfully simulated, and the technical difficulties that stem cells are prone to aging and differentiation direction disorder in traditional two-dimensional culture are fundamentally solved. This breakthrough result promotes the lacrimal passage tissue engineering from simple 'cell adhesion growth' to a new height of'structure-function synchronous reconstruction', and provides a double technical guarantee of seed cells and tissue engineering supports for solving the clinical core pain point of postoperative scar adhesion and re-occlusion of the lacrimal passage obstruction disease.

The invention relates to the technical field of biological fermentation process monitoring, and particularly discloses biological fermentation gas online monitoring equipment which comprises an outer box body, the outer box body is composed of a high box part a and a short box part b, a detection box and an analysis host are installed in the high box part a, and an electromagnetic valve used for controlling gas inlet is installed on the side wall, close to the short box part b, of the detection box; a sensor array which transmits data with the analysis host is mounted at one end, far away from the electromagnetic valve, in the detection box, a high-voltage arc generator is mounted at the position, close to an air outlet of the electromagnetic valve, in the detection box, and an air inlet dehumidification device is mounted at the air inlet end of the electromagnetic valve. The device has the beneficial effects that through the combination of the sampling pump, the filter element and the spiral dehumidification pipe, the continuous online collection and efficient pretreatment of sample gas are realized, the interference of sample gas moisture and pollutants on the sensor is avoided, the accuracy and real-time performance of detection data are ensured, and the risks of off-line sampling lagging and sample pollution are overcome.

The application discloses a kind of equivalent RC physical constraint uncertainty prediction and optimization control integration method for heating ventilation air conditioning system, comprising: (1) data acquisition and pre-processing;(2) using PGFormer, feature is extracted with graph and time sequence coding, output multi-quantile energy consumption baseline and uncertainty under RC thermal dynamic constraint;(3) reuse unified RC model, construct energy consumption, cost, comfort and load stability multi-objective optimization;(4) based on the prediction uncertainty, the importance of variables is divided and the search boundary is adjusted adaptively, and the Pareto solution set is solved by DVILCP;(5) posterior decision on each cycle solution set, determine control command and roll execution;(6) evaluate and verify the prediction accuracy and optimization effect.The application is tightly coupled with prediction and optimization with unified physical kernel, solves the problem of strategy deviation caused by inconsistent model and unreasonable physical condition in extreme working condition, and has physical consistency and risk adaptive control ability.

The invention relates to the field of complex electromechanical system health management, in particular to a complex electromechanical system maintenance opportunity decision-making method under overload operation. The method comprises the following steps: constructing a performance evaluation model based on a belief rule base, defining key feature indexes, overload environment attributes and reference levels thereof, rule weights and attribute weights, and presetting consequent confidence distribution for each rule; monitoring data are collected, the matching degree of the key feature indexes in each rule is calculated, meanwhile, an overload cumulative index is constructed, and the matching degree of overload environment attributes is calculated; calculating a rule activation weight based on the two types of matching degrees, multiplying consequent confidence distribution by the activation weight, fusing by adopting an evidence reasoning algorithm to obtain confidence distribution of a system performance state, and further calculating an output utility value; and determining an optimal maintenance opportunity based on a preset mapping relation. According to the method, the overload environment attribute is introduced into the activation weight calculation, so that the accuracy of health assessment under the overload working condition is improved.