19results about How to "Avoid overreaction" patented technology

The invention provides a multi-modal large model construction and operation method and system for reservoir dam safety. The method comprises the following steps: constructing a training set, wherein the training set comprises a single sample; multi-modal data as model input: sensor data arranged on the dam, historical hidden danger records, engineering technology documents formed in various stages of planning, design, construction and operation of the dam, information resources related to dam safety, geometric and material information of the BIM model, timestamps and spatial position information; the probability value of occurrence of the hidden danger event serving as the training label is obtained; the training set is adopted to train a multi-mode pre-training model based on a Transform framework; performing real-time prediction and early warning on potential safety hazards of the dam; and calculating the actual influence degree, the comprehensive risk score, the dynamically set early warning threshold and the emergency measure suggestion of the hidden danger event according to the probability value of whether the hidden danger event occurs or not output by the model. The scientificity and effectiveness of dam safety monitoring are comprehensively improved.

The invention discloses a catalyst and method for preparing 3-methyl-2-aminobenzoic acid through continuous catalytic hydrogenation, and the method comprises the following steps: pretreating an activated carbon carrier by using pretreatment reagents such as nitric acid and hydrogen peroxide to remove impurities in the carrier; modifying the carrier by using an auxiliary component 1 such as sodium carbonate, stannic chloride, potassium carbonate and lanthanum nitrate, and then roasting and reaming; and finally, active components such as platinum chloride and palladium chloride are mixed and impregnated with an auxiliary component 2 such as oxalic acid, polyethylene glycol-400, sodium metavanadate and polyvinylpyrrolidone, the auxiliary component 2 promotes dispersion of the active metal, and the auxiliary component 2 and the auxiliary component 1 have a synergistic effect, so that the active metal is loaded more uniformly and firmly, and the obtained catalyst has higher activity and selectivity and longer service life. The catalyst is applied to preparation of 3-methyl-2-aminobenzoic acid through catalytic hydrogenation in a fixed bed reactor, the reaction can be continuously and automatically controlled, the three wastes in the reaction process are few, the yield of a target product is high, the service life of the catalyst is long, and the catalyst is suitable for industrial production.

The invention discloses a mine safety risk early warning method and system, and relates to the technical field of mine safety early warning, and the method comprises the following steps: in the operation process of a fresh air system, obtaining various parameter information generated in the operation process of the fresh air system, and the parameter information comprises air flow characteristic information and gas diffusion characteristic information; according to the method, the airflow turbulence index and the gas diffusion delay index generated by the fresh air system are intelligently analyzed, the system automatically generates an operation state coefficient based on a machine learning model, high and low risk states are accurately divided, corresponding countermeasures are taken for burst type, unstable type and continuous type high risk states, and early warning or records are given out. According to the grading early warning mechanism, the risk identification precision is effectively improved, man-made misjudgment is reduced, it is ensured that serious risks are handled in time, and the safety and reliability of the system are improved.

The invention discloses an execution method and device of an early warning event, a medium, electronic equipment and a product, the execution method of the early warning event comprises the steps that log data, collected through a preset collection strategy, of a client is acquired, the log data comprises multi-dimensional operation data, and the multi-dimensional operation data comprises network performance data and system resource data; performing anomaly analysis on the log data through a large language model to determine a trend type of an anomaly trend existing in the log data, the trend type including at least one of memory overflow, security attack, high concurrent traffic and response delay; and determining an early warning level of the client according to the trend type, and executing an early warning event on the client according to the early warning level. The problems that in a distributed system, a monitoring scheme for a client depends on fixed log collection and regular health examination, so that anomaly detection lags behind, and an active early warning mechanism is lacked are solved.

The invention relates to the technical field of augmented reality and computer vision processing, in particular to an augmented reality art display system, which comprises an environment perception processing center used for calling multi-dimensional environment sensing data, obtaining environment illumination features and scene semantic features, performing coupling processing on the environment illumination features and the scene semantic features, and obtaining a scene image; obtaining photometric semantic coupling data; when photometric semantic coupling data is generated, the imbalance prediction unit is used for obtaining an aesthetic imbalance index; the intention constraint unit is used for obtaining a conventional rendering signal or a reconstructed rendering signal; when a reconstruction rendering signal is generated, the reconstruction rendering unit is used for performing visual consistency synthesis on the obtained compensation model and a real video stream to obtain an augmented reality display image; according to the method, the technical problem caused by neglecting environment interference is effectively solved, and quantitative evaluation of environmental aesthetics quality is supported from a data bottom layer.

The invention relates to a refining method for reducing and controlling a plasticizer and 3-chloropropanol ester in camellia oil, and aims to effectively control the plasticizer, the 3-chloropropanol ester and glycidyl ester in the camellia oil and maintain nutritional ingredients and natural flavor of the camellia oil. The method comprises the steps of acidification degumming, alkali refining deacidification, water washing, decoloration, dual-temperature deodorization, low-temperature adsorption and the like, and particularly, the vacuum degree and the temperature are finely adjusted in the deodorization process, so that control over a plasticizer, 3-chloropropanol ester and glycidyl ester is effectively considered.

The present application relates to the field of agricultural big data and fertilizer supply chain management, and particularly to a selenium-rich bio-organic fertilizer supply chain collaborative management system based on big data, comprising: a source evaluation step: a management center calls material attributes, a raw material evaluation unit analyzes source quality fluctuations to distinguish batches; an efficiency drift analysis step: in response to abnormal control signals, a conversion analysis unit performs efficiency drift evaluation feedback analysis; a supply-demand collaborative matching step: in response to regular control signals, a collaborative demand unit obtains a collaborative demand coefficient, and a matching division unit performs quantitative matching analysis of control decision; a control execution step: compare control evaluation indexes to generate control signals; the present application constructs a source fluctuation perception and supply-demand collaborative matching closed loop, solves the spatiotemporal mismatch contradiction of raw material fluctuations and soil adsorption specificity, and improves the overall efficiency of the supply chain.

The invention discloses a waste mineral oil multistage coupling heat exchange and gradient cooling energy-saving cooperative treatment method, which belongs to the technical field of heat energy engineering and energy conservation, and comprises the steps of pretreatment refining, fractionation cutting, molecular distillation, hydrofining, gradient cooling and intelligent control. By constructing a multi-stage coupling heat exchange network, hydrofining high-temperature waste heat is used for preheating fractionation feed, and fractionating tower top steam waste heat is used for preheating molecular distillation feed; cooling the high-temperature material flow according to the temperature by stages through a three-stage gradient cooling system, and recycling the low-temperature cold energy of the molecular distillation unit for a pretreatment process; and dynamically optimizing heat exchange and cooling operation based on an energy balance model through the central control system. According to the method, the technical problems of energy utilization splitting and serious waste heat waste in a waste mineral oil regeneration process are solved, the yield and the quality of a base oil product are greatly improved while the system energy consumption and the cooling water consumption are remarkably reduced, and an innovative solution is provided for efficient regeneration of the waste mineral oil.

The application discloses a preparation method of a starch polypeptide compound capable of delaying digestibility, and improves the content of slow-digestible starch and resistant starch in the product; the method comprises the following steps: (1) in a weakly acidic aqueous phase reaction system, a sodium periodate is used as an oxidant to perform oxidation reaction on starch raw materials, and the hydroxyl groups at C2 and C3 positions of glucose units in the starch molecules are selectively oxidized and broken to generate corresponding dialdehyde structures; a food-grade reducing agent is added into the reaction system to terminate the oxidation reaction; (2) food-grade anhydrous ethanol is added into the reaction system of step (1) to precipitate the starch, and the solid precipitate is collected; the precipitate is washed by using an ethanol solution, and finally, the washed precipitate is dried, crushed and ground to obtain an oxidized modified starch raw material; (3) the oxidized modified starch raw material is uniformly mixed with polypeptides to obtain a mixture; then, the mixture is put into a double-screw extruder to perform extrusion compounding; the material extruded from the double-screw extruder is collected, dried and crushed to obtain the starch polypeptide compound.

The utility model relates to a chemical industry mechanical equipment field especially, relates to a kind of ester exchange equipment for vegetable oil-based emulsifier production, including tank body, the tank body top is equipped with feed inlet, tank body bottom is equipped with discharge gate, the temperature regulating system is arranged in the tank body;The tank body top is installed with stirring motor, the output shaft of stirring motor is connected with stirring shaft, the stirring shaft is provided with stirring vane, the stirring vane includes the helical stirring vane of top layer, the stirring vane of pulp of middle layer and the anchor stirring vane located in bottom layer;The temperature regulating system includes high temperature layer located at the tank body top, constant temperature layer located at the tank body middle and cooling layer located at the tank body bottom.The ester exchange equipment of the application can reduce the adhesion of material to the inner wall of equipment and stirring device during production, thereby improving the uniformity of material distribution, reaction conversion rate and the quality of final product.

This invention discloses a method and system for predicting building deformation risks based on multi-source data fusion, relating to the field of building risk monitoring technology. The invention first constructs a building logical image model network, digitally integrating building components, monitoring equipment, and maintenance responsibilities. Once a risk trigger source is identified through multi-source data fusion, it is automatically mapped to this model. Based on risk characteristics, the effective impact domain is dynamically calculated, and the equipment requiring operation and the corresponding responsible parties within that domain are retrieved. Finally, through structured synthesis, an electronic work order integrating equipment control and personnel scheduling is automatically generated and issued, thereby achieving automated linkage from risk warning to response execution. This solves the problems of response delays and inappropriate resource allocation caused by the disconnect between risk warning and response execution in existing technologies.

The utility model discloses a kind of dietary fiber extraction devices in potato residue, it is related to food processing technical field. Including extraction box, crushing component, be set on the upper portion of extraction box inside, for carrying out crushing to potato residue, increase the contact area between material and enzyme, stirring component, be set in the middle portion of extraction box inside, for carrying out stirring to potato residue, make enzyme and material uniform mixing, centrifugal component, be set on the lower portion of extraction box inner wall, for carrying out solid-liquid separation to material after enzymatic hydrolysis reaction. The utility model under the meshing effect of fixed gear and driving gear, can drive the centrifugal cylinder formed by round plate and centrifugal net to rotate, slurry after enzymatic hydrolysis reaction can be centrifuged during centrifugal cylinder rotation, to produce filter residue and filtrate, under the separation of fixed cylinder and centrifugal net, filter residue and filtrate generated by centrifugation can be collected using drain pipe and discharge pipe, to extract dietary fiber in potato residue.

The application discloses a kind of electric vehicle air conditioning system safety power-down control method, it is related to electric vehicle technical field, including the following steps: receiving power-down trigger instruction;Disconnect the load switch corresponding to target load;According to first state parameter, it is judged whether the load switch exists disconnection fault, according to second state parameter, it is judged whether the load switch exists unknown fault;If certain load switch exists disconnection fault or unknown fault, then take fault isolation measure, otherwise normally power-down.The application obtains first state parameter and second state parameter for closed-loop verification after disconnecting load switch, can find disconnection fault and unknown fault in time.Once detecting fault, immediately request to disconnect external high-voltage power supply relay to realize physical isolation and report fault information, thereby overcome the defects of existing power-down control method, fundamentally eliminate the security risk of load continuous electrification, significantly improve the safety and reliability of system power-down process.

The invention discloses a data security management and control method based on a data application management platform, and relates to the technical field of data security, and the method comprises the following steps: obtaining first data of a position where target equipment is located, inputting a preset equipment response time prediction model, and generating an equipment response time prediction value; establishing connection between the target equipment and the data application management platform, and obtaining an equipment response time measured value; acquiring second data of the target equipment, performing data analysis, and determining an equipment response time error allowable range; and performing data analysis on the equipment response time predicted value, the equipment response time measured value and the equipment response time error allowable range in combination with a preset equipment risk judgment formula, judging whether the equipment has risks or not, and processing the risk equipment. The method and the device are used for solving the problem of data risk caused by connection between the data platform and the lower computer equipment.

The invention discloses a control system and method for ventilation of a ship cargo hold, and the system comprises a monitoring unit which comprises a plurality of monitoring points disposed in the cargo hold and is used for collecting the concentration parameters of hazardous gases in different regions in the cargo hold in real time; and the control unit is in signal connection with the monitoring unit and is in control connection with a frequency conversion fan of the cargo compartment ventilation system. When the control unit receives a hazardous gas standard exceeding signal output by the monitoring unit, a rotating speed adjusting instruction is automatically generated and output to the frequency conversion fan; the rotating speed adjusting instruction adjusts the rotating speed of the frequency conversion fan to the target rotating speed, and the target rotating speed is not lower than the preset minimum safe rotating speed. Through linkage control of the cargo hold air quality monitoring system and the variable-frequency ventilation system, real-time monitoring of hazardous gas, automatic adjustment of the rotating speed of the fan and automatic regulation and control of multi-stage safety protection are achieved; and on the premise that the safety of the cargo hold is guaranteed, the fan energy consumption can be remarkably reduced, and the ship operation safety, economical efficiency and intelligent level are improved.

The application discloses a large ocean data buoy safety monitoring system and method based on multi-source fusion, relates to the technical field of buoy monitoring, and synchronously collects buoy equipment operation parameters, marine environment data and surrounding ship dynamic information through a buoy body sensor group, an environment monitoring unit and a ship identification module; time-frequency domain feature extraction and abnormality detection are carried out on the collected data, a collision risk dynamic evaluation model is constructed in combination with ship trajectory prediction; an equipment health, environment interference and ship threat fusion evaluation system is established, risk grade division is carried out in combination with real-time monitoring data and a historical database; early warning information is generated based on the risk grade, and equipment maintenance instructions and ship collision avoidance alarms are automatically triggered. The application is suitable for the scene of variable speed and steering of a ship, threshold values are dynamically adjusted, and the adaptability and analysis accuracy of the system are improved.

The application discloses an intelligent temperature control and heat dissipation method and system for a liquid-cooled computer case. The computer case is internally provided with at least a chip and a liquid cooling system for cooling the chip. The liquid cooling system at least comprises a water pump and a cooling fan. The method comprises the following steps: collecting a first feature set of the computer case in real time, wherein the first feature set comprises a core temperature of the chip, a power consumption of the chip and a liquid temperature of cooling liquid in the liquid cooling system; calibrating a thermal resistance parameter in a preset model based on the first feature set, wherein the thermal resistance parameter comprises a calculated fast thermal resistance value or a preset slow thermal resistance value; analyzing and judging a heat load source of the chip by using the fast thermal resistance value and heat capacity, and obtaining a judgment result; calculating and obtaining a residual heat storage capacity of the liquid cooling system according to the liquid temperature and a preset standard cooling liquid temperature; generating a duty cycle set of the water pump and the cooling fan according to the judgment result and the residual heat storage capacity; and inputting corresponding PWM control signals to the water pump and the cooling fan according to the duty cycle set, so as to control the water pump and the cooling fan to perform heat dissipation on the chip.

The invention belongs to the technical field of catalyst preparation, and particularly relates to a preparation system and method of a high-iron red-mud-based heterogeneous catalyst. The invention provides a preparation system of a high-iron red-mud-based heterogeneous catalyst, which comprises a pickling kettle, the outer wall of the pickling kettle is fixedly communicated with an acid liquor adding port, the pickling kettle is internally provided with a treatment cylinder, and immersion holes are uniformly distributed in the peripheral side wall of the treatment cylinder; the step-by-step reaction mechanism is used for adding acid liquor step by step along with the pickling reaction, and the step-by-step reaction mechanism comprises an air pressure channel fixedly communicated with the outer wall of the pickling kettle. By arranging the step-by-step reaction mechanism, acid liquor can be added in the acid pickling reaction step by step, the acid pickling reaction of the acid liquor and the red mud raw material can be carried out step by step, the reaction rate and strength are controlled, the excessive reaction and the excessive corrosion of the red mud raw material are avoided, and the acid pickling reaction is ensured to be more uniform; and excessive reaction caused by excessive acid liquor in some areas is avoided.

This invention discloses a selective hydrogenation catalyst, its preparation method, and its applications. The selective hydrogenation catalyst of this invention comprises a support, an active component, and an auxiliary agent. The active component includes tungsten oxide and rhenium heptaoxide, and the auxiliary agent includes iron and an organic complexing agent. This selective hydrogenation catalyst ensures the hydrogenation of C=C double bonds or olefins while preventing hydrogenation saturation of aromatic rings or aromatic hydrocarbons, and also possesses strong hydrodesulfurization performance.