1098results about How to "Reduce the possibility" patented technology

The invention relates to the technical field of data processing, and discloses an intelligent water conservancy inspection method, device and equipment and a storage medium. The method comprises the following steps: performing dynamic fusion processing on acquired multi-dimensional water conservancy environment data of a preset target area to obtain a target digital twinborn body; performing agent collaborative analysis on the digital twinborn body to obtain a self-adaptive inspection strategy; performing multi-modal sensing data acquisition on the target area according to the self-adaptive inspection strategy to obtain multi-modal data; performing federated learning processing on the multi-modal data to obtain holographic situation awareness data; performing causal reasoning analysis on the holographic situation awareness data to obtain a dynamic risk map; and inputting the dynamic risk map into a preset deep Q network for prevention and control strategy analysis to obtain an active prevention and control strategy and an inspection report. According to the invention, the efficiency and accuracy of intelligent water conservancy inspection are improved.

The invention belongs to the technical field of Internet of Vehicles and communication security, and relates to a vehicle intrusion detection system and method based on a Hybrid EfficentNet model, and the system is obtained by training the Hybrid EfficentNet model. Wherein the Hybrid OfficientNet model comprises an initial convolutional layer, a backbone network, a self-adaptive global pooling layer, a Flaten layer, a discarding layer, a hidden layer and a classification layer; the backbone network is composed of one Fusion MBConv module and 15 MBConv modules, and each MBConv module comprises an expansion layer, a depth separable convolution module, a channel and space attention mechanism and a projection layer; residual connection is used in the MBConv module; the system has excellent capability of detecting abnormal traffic, realizes high accuracy, high-efficiency processing capability and high response speed, meets the requirement of convenient operation in a vehicle environment, and effectively solves the technical problems that an existing intrusion detection model is complex and inconvenient and cannot be directly deployed in a resource-limited vehicle-mounted network environment.

The invention provides an unmanned aerial vehicle three-dimensional path planning method based on an improved sparrow algorithm, and the method comprises the steps: carrying out the initialization of a population through fusing Tent chaotic mapping and Sine chaotic mapping, thereby improving the diversity of the population, and improving the search range of the population; secondly, introducing a butterfly optimization algorithm, updating the position of a discoverer in a sparrow search algorithm, and enhancing the search capability of the algorithm for a globally optimal solution; then, position updating is carried out on the participant by using adaptive T distribution, the adaptability and flexibility of the algorithm are increased, K-means clustering is introduced to select the alert, and the path planning capability of the unmanned aerial vehicle in a complex environment is enhanced; finally, in order to prevent the algorithm from falling into local optimum, optimal individual Gaussian disturbance variation is introduced, and the algorithm is prevented from falling into local optimum in the search process. A simulation experiment result shows that compared with a traditional sparrow algorithm, the improved sparrow algorithm can find a safe and feasible path, and has relatively stable optimization capacity.

The invention relates to the technical field of carrier communication, in particular to a multichannel power line carrier communication system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a selection module, a sending module and a correction module. According to the invention, through an accurate data acquisition and real-time determination mechanism, complex environment changes in a power network can be effectively dealt with, stability and high efficiency of communication are ensured, channels with optimal parameters such as signal strength, noise, delay and the like are optimized through multi-stage screening and determination, channels with relatively large interference and noise are effectively avoided, and the communication efficiency is improved. Meanwhile, the correction module can adjust the intensity threshold value in real time, it is guaranteed that the system still maintains excellent communication performance when the number of channels fluctuates and the network load changes, and the problems that due to the fact that the attention degree of the influence of real-time environment changes on signal quality is low, channel selection is inaccurate, and verification results are deviated are effectively solved.

The invention relates to an antibacterial PP material and a preparation method thereof, and belongs to the technical field of high polymer materials. The antibacterial PP material is prepared from the following components in parts by weight: 60 to 80 parts of PP resin, 2 to 4 parts of a surfactant, 0.5 to 1.5 parts of a modified antibacterial agent, 0.5 to 1.5 parts of a flame retardant and 0.2 to 0.8 part of an antioxidant, titanium ions in the modified antibacterial agent destroy bacterial cell walls, quaternized intermediate products react with proteins of cell membranes to accelerate bacterial death, and in addition, phenolic hydroxyl groups absorb ultraviolet rays with different wavelengths to inhibit the light aging process; a compact and continuous carbon layer is formed during combustion of the flame retardant and cooperates with phosphorus-oxygen double bonds and melamine, the flame retardant efficiency is improved, aluminum hydroxide coats the surface, hydroxyl is subjected to heat absorption decomposition during combustion, the surface temperature of combustible materials is stabilized, meanwhile, an inert aluminum oxide layer is formed, and the flammability is reduced. The antibacterial PP material prepared by the invention not only has good antibacterial and anti-aging effects, but also has excellent flame retardant property.

The invention discloses an intelligent vehicle-mounted application adjusting method and system based on a driving scene, and relates to the field of vehicle-mounted application, and the method comprises the steps: obtaining current real-time driving data, current external environment information and current position information, and matching a user behavior mode of a current vehicle in a preset behavior mode database according to the current real-time driving data, identifying a driving scene of a current vehicle according to the current external environment information and the current position information, and predicting an information type and a presentation mode required by a current driver according to the user behavior mode and the driving scene, and determining an information presentation mode and information presentation time in a preset application database according to the information type and the presentation mode, and presenting all the vehicle-mounted applications according to the information presentation mode and the information presentation time, and by implementing the method, the driving experience of a driver can be improved in a complex driving scene.

The invention discloses a robot path planning method based on a multi-strategy improved Harris eagle algorithm. The method comprises the following steps: setting initial parameters; a chaos initialization strategy is used, and a Tent chaos mapping initialization population is introduced; calculating prey escape energy by using a fuzzy energy strategy; selecting an exploration stage or a development stage according to the escape energy; when E > = 1, the individual enters an exploration stage, and when E < 1, the individual enters a development stage; trying to jump out of a local optimal solution by using a sine and cosine perturbation method; judging whether the maximum number of iterations is reached or not, if so, outputting an optimal path, otherwise, returning to the prey escape energy calculation step; and constructing a path trajectory graph and a fitness curve graph of the robot in the position space. The invention aims to solve the problems that the path is not smooth, the convergence speed is low, and the robot is easy to fall into a dead zone when performing path planning.

The invention relates to the technical field of coal mine safety, in particular to a coal mine major disaster risk prevention and control system and method based on artificial intelligence, and the system comprises a data collection module, a data transmission module, a data processing module, a disaster prediction module, a decision support module and a user interaction module. The data transmission module transmits collected environment data to a ground control center, the data processing module ensures the accuracy and consistency of data through data preprocessing, data fusion and anomaly detection, the disaster prediction module predicts potential disasters and generates a risk assessment report, and the decision support module determines the risk assessment report according to the prediction result. According to the system, multiple intelligent technologies are integrated, comprehensive prevention and control of major disasters of the coal mine are achieved, and the safety management level of the coal mine is improved.

The invention discloses a coal power multi-path transformation and new energy combination decision-making method under low-carbon transformation. The method comprises the following steps: firstly, constructing a system comprising first-level effect indexes such as environmental influence, economic benefit, energy safety and technical innovation and corresponding second-level indexes; then, alternative schemes of various coal power transformation technology and new energy project type combinations are generated; then quantitatively evaluating the effect index of each scheme, and calculating a comprehensive utility value by using multi-criterion decision analysis; identifying potential risk factors, and performing uncertainty analysis through Monte Carlo simulation; and finally, according to the low-carbon transformation target and policy evaluation scheme conformity, selecting a scheme which most conforms to the policy target, and continuously monitoring and adjusting. The coal-electricity multi-path transformation and new energy combination decision-making method under low-carbon transformation is beneficial to promoting energy low-carbon transformation, optimizing resource allocation, improving economic benefits, promoting technical innovation, enhancing risk management capability and ensuring that a project is consistent with policy orientation.

The invention discloses an open-air roadway hard roof hydraulic caving weakening scour prevention method which comprises the following steps: firstly, judging a roadway area with the risk of inducing rock burst, and analyzing dynamic and static load states on roadway surrounding rocks when dynamic load phenomena such as fracture of adjacent goaf roofs and the like occur; according to the critical condition of rock burst occurrence, the hydraulic weakening scour prevention requirement is determined, then according to the action effect of weakening parameters on the weakening effect, a proper cavity arrangement scheme is selected, and the construction position, angle and size of a cavity are determined; and then hydraulic cave building construction is carried out. On one hand, pressure relief can be performed on roadway surrounding rock by utilizing the cavity space from a static load angle to reduce static load, and on the other hand, transmission of far-field dynamic load to the roadway surrounding rock can be retarded by utilizing the cavity space to reduce dynamic load; the energy capable of inducing the rock burst disaster is reduced in the two aspects of dynamic load and static load, the load value of the surrounding rock of the roadway is reduced and is lower than the impact inducing critical value, and the possibility of the rock burst disaster of the roadway can be remarkably reduced.

The invention provides a long-medium-short-term nested cascade hydropower station forecasting and dispatching system. The system comprises a long-medium-short-term nested power generation optimal dispatching module and a reservoir inflow forecasting module. The long-medium-short-term nested power generation optimization scheduling module comprises a cascade hydropower station long-term optimization scheduling module, a cascade hydropower station medium-term optimization scheduling module, a cascade hydropower station short-term optimization scheduling module, a cascade hydropower station in-plant economic operation module and a scheduling model heuristic optimization algorithm module; the reservoir inflow forecasting module comprises a monthly inflow forecasting module based on a self-made probability distribution model, a daily inflow LSTM forecasting module based on multi-dimensional feature data driving and an hourly inflow forecasting module. An economic operation module is embedded, operation of cascade hydropower stations is optimized, and efficient management of time and space scales is achieved; a novel algorithm is adopted to correct an initial flow value, water balance and final water level constraint are met, and optimization efficiency is improved; the water inflow is predicted through data driving, model calculation is simplified, and the forecast scheduling efficiency is improved.

The invention discloses a method for troubleshooting and processing faults of an industrial personal computer in field operation and maintenance and electronic equipment, relates to the field of industrial personal computer equipment, and aims to improve the efficiency and accuracy of fault processing. According to the method, the running state of the industrial personal computer is monitored in real time, fault data are collected, unstructured documents and historical fault data are converted into structured information through the natural language processing technology, and a knowledge graph is established. Through a vectorization technology and an enhanced search algorithm, the system can quickly retrieve cases similar to current fault symptoms from a knowledge base, and fault processing suggestions described by natural languages are generated through LLM. In addition, the invention further comprises a computer program executed by the central processing unit, data of the industrial personal computer are read through the communication module, and an automatic fault diagnosis process is realized. According to the method and the equipment, the dependence on artificial experience is effectively reduced, the reliability of the industrial personal computer is improved, and the downtime is reduced.

The invention relates to the technical field of batching automatic control, and discloses a material flow and energy flow bidirectional coupling tin smelting automatic batching method and system. Carrying out automatic calculation to carry out material balance, energy balance calculation and material-energy coupling optimization configuration, and determining a decision variable value of production optimization batching, namely a batching scheme; a batching scheme and target parameters are displayed through a window and are transmitted to a DCS (Distributed Control System) through an OPC (Optical Product Control) server, and the feeding amount of a feeder and hardware instrument equipment are controlled by the DCS; the current crude tin grade, the Fe / SiO2 ratio in slag and the melt temperature are analyzed and compared with target values. The system comprises a batching calculation module, a distribution control module and a parameter correction module. Through material and energy flow analysis, precise smelting burdening, process optimization, energy conservation and emission reduction are achieved, and the production efficiency and environmental friendliness are improved.

The invention relates to the technical field of storage tank safety monitoring, in particular to a visual real-time monitoring method and system for a digital floating disc of a storage tank. The method comprises the following steps: carrying out real-time floating disc signal acquisition on a full liquid receiving floating disc to obtain real-time floating disc sensing signal data, and carrying out data filtering preprocessing on the real-time floating disc sensing signal data to obtain floating disc sensing signal data; performing Kalman filtering data fusion on the floating disc sensing signal data to obtain real-time floating disc sensing fusion data; performing floating disc abnormal state detection on the real-time floating disc sensing fusion data to obtain floating disc abnormal detection data; floating disc early warning information integration is carried out according to the floating disc anomaly detection data, so that an abnormal floating disc alarm strategy is obtained; data of the full-liquid-receiving floating disc auxiliary mechanism is obtained, prevention and control strategy analysis is carried out, an abnormal floating disc prevention and control strategy is obtained, and the abnormal floating disc prevention and control strategy is uploaded to a controller to execute a floating disc prevention and control task. The safety of the storage tank can be improved.

The invention discloses a PID (Proportion Integration Differentiation) parameter optimization method based on an improved graffiti search algorithm, and relates to the technical field of PID. The invention aims to solve the problems of insufficient local search capability, slow convergence speed and poor system stability in the prior art, thereby realizing a better PID parameter optimization effect. Specifically, the PID parameter optimization method based on the improved graffiti search algorithm comprises the following steps: constructing a PID controller model; a step of replacing a fixed perception probability and a step length in the model with an adaptive perception probability and a Levy flight step length; a step of adding a crow misleading prevention factor into the model; and acquiring preset parameters in the PID controller model based on a particle swarm algorithm. The preset parameters comprise proportional (Kp), integral (Ki) and differential (Kd) parameters. Parameters of the Levy flight step length are dynamically adjusted through a Bayesian optimization algorithm. The method is suitable for being applied to PID parameter optimization work.

The utility model relates to an electrode assembly and a battery monomer adopting the same, the electrode assembly consists of a positive plate, a negative plate and a diaphragm, the electrode assembly is provided with a positive lug and a negative lug, and the size of the negative plate is larger than that of the positive plate; the corner of the positive plate is an inner arc angle; the corner of the negative plate is an outer arc angle; the positive plates and the negative plates are stacked in sequence, and the diaphragms are arranged between the adjacent positive plates and negative plates. The corner of the negative plate is designed to be the outward arc angle, and the corner of the positive plate is designed to be the inward arc angle, so that the aluminum plastic film PP layer is effectively prevented from being scratched in the stacking and packaging processes of the electrode plates. According to the design, the stacking mode of the electrode plates is improved, the possibility of physical interference is reduced, and meanwhile, the reduction of loss in the battery assembly process is also facilitated.

The invention relates to the technical field of reverse osmosis membranes, in particular to a polyamide reverse osmosis membrane for high-salinity wastewater treatment and a preparation method of the polyamide reverse osmosis membrane. The invention solves the problem that the polyamide reverse osmosis membrane cannot give consideration to both desalination rate and water flux. The polyamide reverse osmosis membrane comprises a polyester non-woven fabric layer, a polysulfone porous layer, a transition layer and a polyamide layer. The polysulfone porous layer is prepared, and the modified pore-forming agent is added to improve the water flux of the reverse osmosis membrane; the hydrophilicity of the reverse osmosis membrane is improved by preparing the transition layer and adding a hydrophilic auxiliary agent when the polyamide layer is prepared; the flux attenuation rate of the polyamide reverse osmosis membrane is reduced by preparing the polyamide layer; the desalination rate of the reverse osmosis membrane is improved by introducing a composite ion complexing agent and graphene quantum dots into the polyamide layer.

The invention provides an anti-pilling wool fabric and a treatment method thereof, and belongs to the technical field of wool fabric processing. According to the treatment method for improving the anti-pilling performance of the wool fabric, the wool fabric with the anti-pilling performance is obtained, and the problems that in the prior art, in order to prevent pilling of the wool fabric, protease is used for treating the wool fabric, the efficiency is too low, and industrialization cannot be achieved are solved. Through the synergistic effect of the bacterial cellulose and the sericin, the anti-pilling performance of the wool fabric is improved, and the method is easy and convenient to operate, high in efficiency and suitable for industrial production.

The invention relates to the technical field of risk early warning, in particular to a mine safety risk early warning method and system, and the method comprises the following steps: screening abnormal behavior data related to tunnel stability monitoring based on real-time collected monitoring data, updating a behavior pattern library through employing a PrefixSpan algorithm, recognizing sequence features matched with historical accident data, and carrying out the early warning of the safety risk of a mine. And generating a sequence behavior early warning index, and performing time sequence analysis on the historical harmful gas detection data based on the sequence behavior early warning index. According to the method, a risk mode is accurately identified through real-time data flow analysis, faster early warning of potential dangers is realized, risk factors can be dynamically evaluated through combination of sequence feature identification and environmental change analysis, the real-time performance and correlation of early warning information are guaranteed, and the early warning efficiency is improved by refining a risk area and optimizing a data acquisition strategy. The operation efficiency and the response speed of the whole safety monitoring system are improved, and it is ensured that quick and accurate response can be made at the critical moment.

The invention discloses a tilting multi-rotor unmanned aerial vehicle and a tilting transition method, and belongs to the technical field of unmanned aerial vehicles. The tilting multi-rotor unmanned aerial vehicle comprises a fuselage, wings are symmetrically arranged on the two sides of the fuselage, wingtip small wings with rudders are arranged at the tail ends of the wings, and front tilting mechanisms symmetrically arranged relative to the fuselage are arranged at the front end of the fuselage; rear tilting mechanisms which are symmetrically arranged relative to the fuselage are arranged at the rear end of the fuselage, and a propeller is arranged in the middle of the rear end of the fuselage; the front tilting mechanism comprises a front propeller, the front propeller is connected with the fuselage through a tilting power structure, the rear tilting mechanism comprises a rear propeller, and the rear propeller is connected with the fuselage through a tilting power structure. According to the tilting multi-rotor unmanned aerial vehicle and the tilting transition method, the fuselage layout is matched with the front tilting mechanism and the rear tilting mechanism, the flight stability is improved, and higher air maneuverability is achieved.

The invention discloses a vehicle-mounted LNG cylinder external supercharging device, and relates to the technical field of vehicle-mounted LNG cylinders, the vehicle-mounted LNG cylinder external supercharging device comprises a mounting plate, a cover plate is rotatably mounted at the top of the mounting plate, a supercharging device is fixedly mounted at the rear part of the mounting plate, a gas cylinder is arranged at the top of the mounting plate, and the gas cylinder is fixedly mounted at the rear part of the mounting plate. A gas inlet is fixedly formed in the left side of the gas cylinder, a valve is fixedly mounted on the circumferential surface of the gas inlet, a protection device is arranged at the top of the mounting plate, a leakage-proof device is arranged at the top of the mounting plate, and a connecting device is arranged at the top of the mounting plate. According to the device, a gas cylinder is placed on the top of the mounting plate, the cover plate is rotated downwards, the cover plate is rotated downwards to make contact with the inclined face of the top of the spring bolt, the spring bolt is stressed to retract into the switch box, the cover plate continues to be rotated downwards, when the spring bolt makes contact with the pressing block, the spring bolt stretches out under the elastic force of the third elastic piece, the spring bolt limits the cover plate, and the cover plate is prevented from being in the operation process of the device.

The utility model provides a wind power deflection bearing sealing structure which comprises a first bearing ring, a second bearing ring and a sealing structure, and the sealing structure is arranged between the first bearing ring and the second bearing ring. The sealing structure is a double sealing ring consisting of an inner sealing ring and an outer sealing ring; the inner sealing ring is of a double-lip type sealing structure. The outer sealing ring can prevent the inner sealing ring from being directly exposed in the environment, invasion of soil, dust and sand is avoided, the aging progress of the sealing ring is slowed down, and the service life of the sealing ring is prolonged; the outer seal can improve the sealing performance of the bearing, guarantee the stock of lubricating grease in the bearing, improve the operation stability of the bearing and reduce the maintenance cost.

The utility model relates to the technical field of traffic management, in particular to a bidirectional early warning device with an adjustable display surface for an intersection without traffic lights, which comprises a square upright post, a first early warning information display screen and a second early warning information display screen. The square stand column is used for being installed on the roadside of an intersection of a main road and a branch road. The first early warning information display screen is arranged on the first side face of the square stand column so that the display face of the first early warning information display screen can face the vehicle coming direction of the main road. The second early warning information display screen is hinged to the second side face, adjacent to the first side face, of the square stand column, the hinge axis of the second early warning information display screen extends in the vertical direction, and the second early warning information display screen can be opened inwards or outwards based on the second side face of the square stand column so that the second early warning information display screen can face the vehicle coming direction of the branch road. Even if the included angle deviation of the intersecting roads is large, the vehicle driving direction of the branch road can still be kept basically perpendicular to the second early warning information display screen, and the visual recognition effect of the warning information is greatly improved.

The utility model relates to the technical field of telescopic arm fixing devices, and discloses a telescopic arm forklift telescopic arm assembly process fixing device which comprises a bottom plate. According to the fixing device for the telescopic arm assembling process of the telescopic arm forklift, through the arrangement of the lifting assembly and the adjusting assembly, when the fixing device is used, a lifting motor is started, the lifting motor rotates to drive a transmission rod to rotate, the transmission rod rotates to drive a threaded barrel to rotate, and when the threaded barrel rotates, a lifting rod moves up and down on the threaded barrel; meanwhile, a servo motor is started, the servo motor rotates to drive a rotating rod to rotate, the rotating rod rotates to drive a positive and negative screw rod to rotate, and when the positive and negative screw rod rotates, a sliding block moves left and right on the positive and negative screw rod; the mechanical arm can be fixed through the clamping plate, the telescopic arm is prevented from laterally toppling over in the use experiment process, and the placement stability of the telescopic arm in the storage and assembly process is improved.

The invention relates to the technical field of wellbore risk evaluation, in particular to a carbon dioxide flooding injection well wellbore integrity risk quantitative evaluation method, which comprises the following steps: constructing an injection well integrity evaluation hierarchical structure model; determining a weight coefficient of each risk index; respectively evaluating each risk index; and calculating a total risk grade score and determining a risk grade. Through the hierarchical model and the determination of the weight coefficient, various risk factors can be comprehensively considered, and detailed evaluation of the integrity of the shaft is realized. Acquisition of real-time data and parameter correction ensure the accuracy and timeliness of an evaluation result, in addition, the method can recognize a high-risk area in advance, early warning and timely treatment are achieved, and the problem that in the prior art, due to the fact that an integrity analysis evaluation method is large in subjectivity, the accuracy and timeliness of the evaluation result are poor is effectively solved. Therefore, the problem of low evaluation accuracy caused by the fact that the integrity risk of the shaft cannot be evaluated more objectively and quantitatively is solved.

According to the big data-based debris flow disaster-pregnancy condition analysis method and system provided by the invention, the debris flow potential description event information set in the current debris flow hidden danger element information is obtained through analysis according to the important attribute of the important description content of each debris flow gully object in the hidden danger point directory data; and carrying out anomaly analysis on the debris flow potential description event information set of the current debris flow hidden danger factor information and the debris flow potential description event information set of the previous group of debris flow hidden danger factor information of the current debris flow hidden danger factor information, and determining a debris flow disaster-pregnant condition analysis set of the current debris flow hidden danger factor information. Therefore, the debris flow disaster-gestational condition analysis set of the current debris flow hidden danger element information can be accurately positioned, so that the debris flow disaster-gestational condition analysis set can be subsequently utilized to perform efficient analysis, each hidden danger can be accurately prevented and treated, and the possibility of debris flow occurrence is reduced.

The invention belongs to the field of application of lead-based piezoelectric ceramics, and particularly relates to a preparation method of piezoelectric ceramics capable of obtaining piezoelectric property without polarization. The surface of PZT-BZnI powder is uniformly coated with a nano film ZSO through an oil-phase nano reactor, the PZT-based piezoelectric ceramic is prepared through solid-phase reaction, rapid sintering and rapid cooling, the phase change of the ZSO occurs in the rapid cooling process, pressure stress with proper size and uniform distribution is generated at the grain boundary of the PZT-based ceramic, the piezoelectric effect is induced, and the piezoelectric ceramic can directly obtain the piezoelectric property without polarization. The oil-phase nano-reactor has the advantages that the surface of the lead-based powder is uniformly coated with the nano-film, and the defects that an existing core-shell structure is complex in preparation process and uneven in distribution are overcome; the uniformly coated nano-film ZSO generates lasting and uniform pressure stress through phase change, so that the piezoelectric property of the lead-based piezoelectric ceramic is obtained without polarization, and depolarization is avoided.

The invention discloses an underground gas-liquid separator performance optimization method and system based on an artificial neural network, and relates to the technical field of underground gas-liquid separator performance optimizing.The underground gas-liquid separator performance optimization method comprises the following steps that when an underground gas-liquid mixture is introduced into a gas-liquid separator, flow information and pressure information are obtained at an inlet of the separator in real time; the flow information and the pressure information at an inlet when the gas enters the gas-liquid separator are preliminarily analyzed, and the fluctuation trend of the flow and the pressure is recognized. According to the method, the flow and pressure information is obtained in real time, the deep learning prediction model is combined, the abnormal fluctuation of underground gas-liquid flow is recognized, and the highly dynamic nonlinear change environment and the normal environment are distinguished through the gas-liquid flow environment change coefficient. In a normal environment, the artificial neural network optimizes energy consumption; and during violent fluctuation, fuzzy logic control adjusts parameters of the separator in real time, so that quick response is ensured, energy consumption and equipment loss are reduced, system stability is improved, and the service life of equipment is prolonged.

The utility model relates to the technical field of sensors, in particular to a temperature and pressure sensor which comprises an electrical connector, the electrical connector is sleeved with a shell, an installation cavity is defined by the shell and the electrical connector, an environment sealing ring is arranged between the shell and the electrical connector, a temperature assembly is arranged in the installation cavity, and the temperature assembly comprises a temperature and pressure sensing base. A temperature signal transmission elastic piece is arranged between the temperature and pressure sensing base and the electrical connector, a medium sealing ring is arranged below the temperature signal transmission elastic piece and located between the temperature and pressure sensing base and the shell, a thermistor is arranged on the temperature and pressure sensing base, and the sensing end of the thermistor extends out of the shell. The temperature and pressure sensing base is detachably connected with an isolation piece used for isolating a medium from the thermistor, the isolation piece is easy to conduct heat, and a pressure sensing module used for measuring pressure is arranged between the temperature and pressure sensing base and the electrical connector. The application has the effect of improving the direct contact between the thermistor and the medium.

The invention discloses a safety management system for a water conservancy and hydropower construction enterprise, and relates to the technical field of water conservancy and hydropower construction management.When the system operates, position information and behavior data of workers are obtained in real time through a personnel behavior collection module, behavior specifications of the workers are quantified, and the safety of the workers is evaluated through a safety behavior scoring index S and a risk staying factor T; and a safety risk assessment coefficient R is further fitted, and when the safety risk assessment coefficient R exceeds a preset threshold value Rth, a safety early warning notification is triggered to inform related personnel of potential risks in time, so that the possibility of accidents is effectively reduced. And specific construction operation safety suggestions are provided, and workers are timely informed of execution, so that the workers can take proper safety measures according to real-time feedback, and the problems that the behaviors of the workers cannot be comprehensively monitored, timely early warning cannot be performed and effective intervention measures cannot be formulated in a traditional safety management mode are solved. And the management frequency of high-risk areas and the intervention frequency of high-risk workers are improved.