1472 results about "Conductivity" patented technology

The invention discloses a thermal power plant circulating water intelligent dosing method based on multi-module cooperation. The system is composed of a detection module, a control module, a chemical adding module, a sewage discharging module, a water supplementing module and an AI intelligent learning feedback module, key parameters such as the pH value, the conductivity, the temperature, the residual chlorine, the turbidity and the flow of circulating water are monitored in real time through a multi-dimensional sensing network, a dynamic water quality prediction model is established in combination with an AI algorithm, and precise closed-loop control over the chemical adding amount is achieved. The system adopts an intelligent decision-making mechanism coupled by a fuzzy PID algorithm and deep reinforcement learning (DRL), can adaptively adjust the dosing proportion of chemicals, and synchronously links a blow-down valve and a make-up pump to maintain the water balance of the system. The system solves the problems of large hysteresis quality and high manual dependence degree of a traditional dosing system, has the characteristics of real-time response, accurate control, energy conservation and consumption reduction, and provides an innovative solution for intelligent transformation of a circulating water system of a thermal power plant.

The invention discloses a control system applied to an oil-water residue separator, relates to the technical field of equipment control, and constructs a closed-loop control architecture comprising a liquid level sensor, a physical property sensor, a data processing module, a control decision module and an execution module. According to the system, liquid level change trend and conductivity mutation characteristics are extracted, an emulsification interference prediction model is constructed, a discharge threshold value is dynamically corrected, discharge conditions are intelligently judged in combination with separation time logic, discharge operation of oil, water and slag is accurately controlled, the system effectively avoids mistaken arrangement in an emulsification state, the separation efficiency and the automation level are improved, and the system is suitable for large-scale popularization and application. And the operation stability and the environmental protection compliance of the equipment under a high-complexity working condition are obviously enhanced.

The invention relates to the technical field of industrial water system safety monitoring, in particular to an intelligent source tracing method for a process medium leaked in circulating water, which comprises the following steps of: acquiring multi-dimensional operating parameters such as conductivity, pH value, turbidity, dissolved oxygen, temperature, pressure and characteristic ion concentration; a standardized water quality parameter matrix is generated after space-time alignment and wavelet noise reduction; the method comprises the following steps: extracting an abnormal fluctuation signal by using a leakage feature recognition model based on transfer learning, simulating a diffusion process through a three-dimensional leakage diffusion model, realizing leakage source positioning by combining reverse particle tracking and kernel density estimation, associating a high-probability leakage region with upstream process equipment, extracting backtracking path features, and matching a process medium feature library, thereby realizing leakage source positioning. The leakage medium type is judged; and finally generating a structured traceability report. According to the method, high-precision identification, positioning and medium analysis of process leakage in a complex circulating water system can be realized, and the method has relatively high practicability and popularization value.

The invention discloses a dosing system for pre-oxidation enhanced coagulation in a water plant and an intelligent regulation and control method, and relates to the technical field of pre-oxidation enhanced coagulation water treatment. The system comprises a raw water pump, a mixing tank, a tubular static mixer, a flocculation tank, a sedimentation tank, an industrial personal computer and multiple online detection instruments which are sequentially connected in series, so as to monitor the flow, conductivity, pH value, temperature, turbidity, ultraviolet absorbance and organic matter concentration of raw water. Key water quality indexes are monitored in real time through data collection and a pre-oxidation enhanced coagulation regulation and control system based on machine learning of an industrial personal computer, and intelligent and accurate prediction of the dosage of oxidants (potassium permanganate, permanganate composite agents and potassium ferrate) and coagulants is achieved; the effluent turbidity, the effluent ultraviolet absorbance and the effluent organic matter concentration of the sedimentation tank are fed back in real time, the adding amount of the oxidizing agent and the coagulant is dynamically adjusted through a regulation and control algorithm, the effluent quality is guaranteed, and medicine consumption is reduced.

The invention relates to an optimization method of an alkaline water electrolysis hydrogen production system based on multi-parameter cooperative control. The method comprises the following steps: acquiring real-time power and historical output data of renewable energy sources, environmental parameters and operation data of an electrolytic cell, and preprocessing the real-time power and historical output data, environmental parameters and operation data of the electrolytic cell; constructing a fusion renewable energy fluctuation prediction model, and inputting historical output data, environmental parameters and electrolytic cell operation data into the model to predict renewable energy fluctuation characteristics; establishing a wind-light output prediction model, and determining an optimal current density interval based on the real-time power of the renewable energy and the wind-light output prediction model; correcting the real-time electrolyte concentration by adopting a conductivity-pH dual channel, constructing a concentration-current two-dimensional compensation model, and inputting the corrected real-time electrolyte concentration into the model to obtain a target electrolyte concentration; and dynamically adjusting related parameters of the hydrogen production system, calculating a self-adaptive threshold value of the system, determining a grading response threshold value based on the self-adaptive threshold value, and controlling the hydrogen production system to operate. And high-efficiency hydrogen production and stable operation of the system are realized.

The present invention discloses a multi-dimensional intelligent control system for fluorine removal, which specifically relates to the field of sewage fluorine removal, including a water quality fluctuation monitoring module, a normal measurement judgment module, an abnormal stage judgment module, a deep learning prediction module, and a multi-task regression module; the water quality fluctuation monitoring module is used to obtain water quality fluctuation information of a water source that needs to be defluorinated in real time, establish pre-measurement condition 1 and pre-measurement condition 2 based on the water quality fluctuation information, and determine whether there are water quality influencing factors in the current water source through pre-measurement condition 1 and pre-measurement condition 2. The present invention realizes the management of fluorine concentration control by introducing multi-dimensional water quality fluctuation information and real-time monitoring mechanism, and performs real-time prediction based on water quality parameters such as water body chromaticity, conductivity, reflectivity and ammonia nitrogen concentration in combination with deep neural network, which is conducive to identifying water quality fluctuations and performing corresponding regulation, dynamically responding to water quality changes, and improving the convenience of water source control.

The invention discloses a Frechet distance-based abnormal inflow traceability method and system for a sewage treatment plant, and the method comprises the steps: carrying out the unit division of the inflow range of the sewage treatment plant through combining land parcel information, pipe network information, convergence conditions, monitoring stations and the like, and analyzing the correlation between total phosphorus and conductivity; arranging a pipe network water quality monitoring micro station, and carding a factory-network-land parcel-source pointer relation library; a sewage treatment plant big data warehouse is constructed, related data are cleaned and treated, and the data are accessed to a pollutant traceability visualization platform; a sewage plant water pollution traceability model is constructed, a water inlet total phosphorus standard exceeding event is selected to carry out traceability research, the traceability model is embedded into a visual platform, and sewage plant total phosphorus concentration standard exceeding traceability visualization is achieved. Compared with the abnormal inflow tracing method of the sewage treatment plant, the large data resource utilization rate can be greatly improved while a large amount of manpower and material resources are saved, and a basis is provided for locking secretly-discharged enterprises, predicting pollution diffusion and environment emergency.

The invention provides a high-frequency eddy current-based metal pipeline conductivity measurement method, which comprises the following steps: designing an absolute eddy current sensor, positioning a sensor coil on the inner side of a metal pipeline and coaxially arranging the sensor coil and the pipeline, and introducing high-frequency alternating current into the coil to generate eddy current; establishing a simplified high-frequency eddy current detection analysis theoretical model, and setting geometric dimensions of a sensor and a pipeline; a Bessel function and a spatial resolution expression are used for analyzing the relation between the real part of the eddy current impedance change under high-frequency excitation and the conductivity of the pipeline; setting the conductivity of the metal pipeline according to the analysis result, and fitting the relation between the impedance change and the conductivity through a power function; and according to a coil impedance measurement result, combining the fitted power function curve, and performing inversion to obtain the actual conductivity of the metal pipeline. According to the invention, the conductivity of the metal pipeline can be effectively measured.

The invention discloses an electrochemical descaling process ion concentration dynamic balance control method and system, and relates to the field of water treatment of a circulating cooling water system.The method comprises the steps that a multi-parameter sensor is deployed to collect calcium and magnesium ion concentration, pH, conductivity, flow and other multi-dimensional data in real time, and an electrochemical deposition dynamic model is combined; dynamically evaluating the time sequence change trend of the ion concentration; according to the method, an ion concentration dynamic balance control algorithm is constructed, and the current density adjusting quantity is calculated by synthesizing ion concentration deviation and historical integral deviation, so that the target current density of the electrochemical reactor is adaptively adjusted, and the system is always maintained in a target concentration interval under different inlet water quality and load conditions; precise electrolysis control is achieved by periodically adjusting power output, and the descaling efficiency and energy consumption are effectively balanced. Therefore, the self-adaptive adjustment of the electrochemical descaling process is realized, and the stability and the self-adaptability of the descaling process are remarkably improved.

The invention relates to the technical field of material physical property detection, and discloses an injectable hydrogel wound dressing water absorbability detection method, which comprises: constructing a main measurement and reference dual channel, and synchronously monitoring a mixed conductivity signal and an interference signal generated only by gel self ion leakage; according to the method, the interference is deducted through real-time differential operation, a pure target signal is obtained, and then the water absorption volume of the hydrogel is calculated through inversion based on the law of conservation of mass, a measured object is transferred to an external solution from a gel body, and the interference of a sample is stripped through an endogenous dynamic correction mechanism, so that the accuracy of the water absorption volume of the hydrogel is improved. The determinacy of a measurement result is derived from a physical law instead of model hypothesis, so that double restrictions caused by irregular sample forms and complexity of a chemical environment are avoided, and reliable quantification of the water absorption performance of the in-situ dynamic forming hydrogel is realized.

The invention belongs to the technical field of cold-rolled sheet processing, and particularly relates to a physical defoaming alkali liquor circulation method which comprises the following steps: a foam capacitive monitoring array at the top of an alkali liquor tank generates a foam thickness gradient map in real time; real-time alkali liquor temperature, conductivity, circulating flow, strip steel running speed and historical foam thickness data are fused, a foam layer height prediction value is output, and when the prediction value exceeds a safety threshold value, a turbulence generator is automatically triggered to generate high-frequency pulse water flow; when the foam finally flows downwards to the top opening of the alkali liquor tank through the foam overflow pipe, the foam is crushed by high-frequency pulse water flow in the alkali liquor backflow pipeline and becomes alkali liquor to drop into the alkali liquor tank, the foam is physically crushed through fluid shear force and high-frequency vibration under the synergistic effect of the sectional type backflow pipeline and the capacitive foam monitoring array, the defoaming efficiency is high, and the defoaming effect is good. Dependent chemical defoaming agents are reduced, and the problems of strip steel surface residues and wastewater treatment are solved.

The invention discloses a coal seam working face floor detection and analysis method, and relates to the technical field of detection and analysis. Potential change conditions of different positions and different elevations are observed through a parallel electrical method instrument, resistivity distribution conditions of different depths in a working face and a bottom plate of the working face can be obtained through three-dimensional electrical method inversion, and the resistivity distribution conditions provide technical support for objective and accurate geological interpretation. The hydrogeological condition of the working face floor rock stratum can be better understood, so that an important reference basis is provided for safe mining; the thermal effect and the electromagnetic effect existing in the environment are evaluated and corrected, so that the deviation of the measured conductivity value can be accurately corrected, and the accuracy and the reliability of conductivity measurement data are improved; and inputting the corrected conductivity value SR (xi, yi, zi) of each grid point into a three-dimensional model, and marking to construct a conductivity three-dimensional model, so as to visually display the electrical property distribution information of the underground medium.

The embodiment of the invention relates to electrochemical enhanced biological integrated intelligent regulation and control equipment for treating organic wastewater. The electrochemical enhanced biological integrated intelligent regulation and control equipment comprises an electrochemical enhanced biodegradation module and an intelligent control system, the electrochemical enhanced biodegradation module comprises a porous membrane electrode assembly, a power supply control system, an electrolyte adding system, a fixed bed biological membrane, an aeration system and a carbon source adding system; the intelligent control system comprises a data acquisition and remote monitoring module and a PLC (Programmable Logic Controller); the data acquisition and remote monitoring module acquires parameters such as COD (Chemical Oxygen Demand), dissolved oxygen concentration, ammonia nitrogen, total nitrogen and conductivity of the electrochemical enhanced biodegradation module and transmits the parameters to the PLC; and the PLC receives the parameters, and automatically adjusts one or more of voltage, current density, aeration rate and carbon source dosage based on a preset model established by a support vector regression and neural network machine learning algorithm. The intelligent regulation and control equipment can keep an optimal treatment state under different wastewater characteristics and load conditions, and has strong adaptability to environment or load fluctuation.

The invention discloses a water environment safety early warning method and system based on the Internet of Things, and relates to the technical field of water environment monitoring and safety alarming, and the main scheme is as follows: firstly, collecting water quality physical and chemical parameters and water quantity parameters of a current detection period, then respectively calculating each subentry index, and calculating the water quality index; comprising temperature, turbidity, conductivity index and the like obtained by physical parameters, dissolved oxygen, pH value, lead content index and the like obtained by chemical parameters, and water quantity index, so as to obtain water quality physical index, chemical index and water environment safety index, and then judge whether to trigger safety real-time alarm or not; and acquiring data of a previous cycle to calculate a historical water environment safety index and an index growth rate, and comparing with corresponding threshold values to judge whether to give a delayed alarm. According to the method, multi-parameter and multi-cycle data are integrated, a comprehensive and accurate judgment basis is provided for water environment safety monitoring, the monitoring accuracy and reliability are effectively improved, and the water environment safety is guaranteed.

The invention discloses a modularized ultrapure water preparation and on-line monitoring system, which comprises a pretreatment module, a purification module, a monitoring module and a control module, and is characterized in that a dynamic monitoring end is arranged, and when ultrapure water preparation is monitored in real time, a multi-parameter fusion detection mechanism and self-adaptive threshold analysis are integrated; meanwhile, the abnormal state of the water quality is dynamically judged based on the conductivity, TOC and particulate matter data collected in real time, the sudden change risk of the water quality output by the purification module can be recognized in real time, error accumulation caused by traditional single-point monitoring is avoided, and therefore the purity detection reliability of the ultrapure water is improved; and the reverse osmosis unit and the electrode deionization unit of the purification module can immediately respond to the effluent parameter change of the pretreatment module, so that the hidden dangers of membrane blockage and recovery rate reduction caused by water quality fluctuation are reduced, and the energy consumption redundancy is reduced while the water quality stability is ensured.

The invention relates to the technical field of water treatment, and discloses a direct spraying type waste heat recovery acidic water treatment method. The method comprises the following steps: arranging a pH value difference sensor group and a conductivity sensor at a joint of a buried pipe cold storage system and a direct-spraying type waste heat recovery device, and monitoring the whole process of acid water treatment in real time to obtain water quality change data of the acid water; performing filtering treatment and working condition matching analysis on the acid water quality change data and the system operation parameters to obtain a cold storage-acid water treatment cooperation mode; performing thermochemical coupling analysis through the hyperboloid mapping network to obtain a corrosion risk assessment result; and executing the heat exchange efficiency and pH value adjustment dual-constraint optimization model according to a corrosion risk assessment result, and outputting an anti-corrosion control strategy. According to the method, the complex nonlinear relation between the pH value change and the temperature gradient can be accurately captured, the accuracy of corrosion risk prediction is greatly improved, and damage to equipment caused by corrosion is effectively avoided.

The invention relates to the technical field of state monitoring, and discloses a hydrogen peroxide purification process state monitoring method. The method comprises the following steps: performing multi-point real-time monitoring and hydrogen peroxide decomposition risk target factor calculation on the temperature, pressure, conductivity and organic matter content of hydrogen peroxide purification equipment to obtain an evaluation result of the influence of temperature gradient and impurity content on hydrogen peroxide stability; carrying out predictive control parameter calculation on the heating power, the cooling flow and the feeding rate to obtain a safe operation parameter range of the equipment; and performing dynamic safety boundary calculation on the temperature distribution and the concentration boundary in the purification process to obtain a hydrogen peroxide decomposition risk early warning index. Through construction of the dynamic safety boundary and calculation of the risk early warning index, stable operation of the hydrogen peroxide purification equipment is realized, so that the production process of the electronic-grade high-purity hydrogen peroxide is safer, more stable and more efficient.

The invention discloses a solid electrolyte with high ionic conductivity, which comprises the following components: a matrix material: a halide super ion conductor with a LiMXCl4 structure, M being selected from at least one of Ta, Nb and Hf, X being O or F, a chemical general formula being LiM1-aX1-6Cl4, a being equal to 0.1-0.3, and an electrochemical window being regulated to 2.5-4.0 V through fluorine-chlorine mixed anion substitution; the second phase material is a core-shell structure compound, the core is Li3TiCl6, and the shell is a Li3PS4 interface layer; and the sintering aid is a compound of Li3BO3 and LiF. Through fluorine-chlorine mixed anion regulation and control and MO2Cl4 octahedron synergistic tilting mechanism, the ionic conductivity of the solid electrolyte is remarkably improved, the lithium ion conductivity at room temperature is greater than or equal to 10mS / cm, the activation energy is less than or equal to 0.2 eV and is superior to that of the traditional halide electrolyte, and meanwhile, the free volume between chains is optimized through Zr < 4 + > / Sn < 2 + > gradient doping, so that the performance of the solid electrolyte is improved. The core-shell structure compound and the silane coupling agent are combined for modification, so that the electrochemical window is effectively widened to 2.5-4.0 V, the interface side reaction is inhibited, and the composite material is adaptive to a high-voltage positive electrode material.

The invention discloses a conductor galloping and sag monitoring method and system based on Beidou differential analysis. The method comprises the following steps: monitoring a lead position, a conductivity change rate, a surface temperature and electric field intensity data of different heights, and calculating an electric field intensity gradient sequence between adjacent heights; and in the incremental time interval, determining a signal drift coefficient according to the incremental wire position data and the incremental electric field intensity data. When the conductivity change rate is greater than a preset threshold value and the surface temperature of the wire is lower than the dew point temperature, multiplying the signal drift coefficient by the ratio of the conductivity change rate to a preset reference rate to obtain a conductive film correction coefficient, and taking the product of the correction coefficient and the real-time electric field intensity as a correction amount; and deducting from the real-time wire position data to obtain correction data. By implementing the technical scheme provided by the invention, the accuracy of the lead position monitoring data in the salt water mist environment is improved.

The invention provides a method and a system for detecting construction flatness and compactness, which are applied to the field of measurement data processing. The compaction degree in the construction process is detected in real time on the basis of the preset electromagnetic induction sensor of the road roller, the problem that construction parameters cannot be adjusted in time by relying on sampling inspection after construction is completed in a traditional method is solved, electromagnetic parameters (such as electrical conductivity, dielectric constant and magnetic conductivity) are collected and matched with the compaction state of the construction ground, and the construction quality is improved. According to the method, the soil compaction condition is evaluated in real time, when insufficient compaction is found, the additional rolling times are automatically calculated, and the operation parameters of the road roller are dynamically adjusted according to the compaction distribution thermodynamic diagram, so that the construction precision and efficiency are improved, the condition of excessive compaction or insufficient compaction can be avoided, rework and resource waste are reduced, and the construction efficiency is improved. And real-time data feedback and automatic adjustment functions are provided, and intelligent management of the construction process is realized, so that the construction quality and the resource utilization rate are greatly improved.

The invention relates to the field of temperature control, in particular to a solution conductivity meter temperature control method based on fuzzy PID, and the method comprises the steps: collecting the temperature data of a measurement solution through a high-precision temperature sensor; acquiring temperature data of the measurement solution, and calculating a temperature deviation value and a temperature change rate of the measurement solution; inputting the temperature deviation value and the temperature change rate into a fuzzy PID (Proportion Integration Differentiation) control module; according to the input temperature deviation value and the temperature change rate, the input of the PID controller is corrected through a fuzzification and fuzzy rule table in the fuzzy PID control module and a corresponding variable quantity output by defuzzification; according to an algorithm, updated PID parameters are obtained, and then a pulse width control signal is obtained by an incremental PID control algorithm to control a driving circuit to dynamically adjust a TEC semiconductor cooler, so that the temperature of the measured liquid is controlled, the control speed is effectively improved, the robustness of the system is enhanced, and the temperature is stabilized near the target temperature.

The invention relates to the technical field of water electrolysis hydrogen production, and discloses a water quality control method and device, electronic equipment, a medium and a water electrolysis hydrogen production system.According to the scheme, dynamic data of the water electrolysis hydrogen production system are input into a prediction model, and the prediction model determines the conductivity of water according to the change rule of the conductivity of water along with dynamic influence factors; the change trend of the conductivity of the water in the water storage unit is predicted, and the path switching threshold value is determined based on the predicted change trend of the conductivity, so that the path switching threshold value is dynamically adjusted, and the change of the conductivity caused by power supply fluctuation, temperature change and the like of the PEM electrolytic cell can be coped with; and the switching frequency of the waterway switching unit is reduced while the standard-reaching rate of the water quality is improved. Moreover, the prediction model is obtained through training based on the output constraint condition, the condition that the conductivity of water in the water storage unit meets the preset water quality requirement and the switching frequency of the waterway switching unit is minimized, higher robustness is achieved for complex working conditions, and the accuracy of the conductivity change trend prediction result is improved.

The invention provides a soil organic pollution concentration prediction method and system based on a resistivity parameter, and the method comprises the steps: synchronously obtaining dielectric constant distribution data, conductivity spatial distribution data, a resistivity parameter and a polarizability parameter of a target region in an organic pollution detection scene in a saline-alkali soil environment, and obtaining the dielectric constant distribution data, the conductivity spatial distribution data, the resistivity parameter and the polarizability parameter of the target region; and constructing a bimodal characteristic matrix reflecting the electrical characteristics of the soil. And performing multi-source coupling on the bimodal characteristic matrix, the dielectric constant and the conductivity data to generate a dynamic data set, and analyzing and extracting the polarization attenuation characteristic difference between the organic pollutants and the salt ions by using a frequency domain dielectric spectrum. And finally outputting a spatial concentration distribution prediction result of the organic pollutants in the high salinization environment in combination with a machine learning model. According to the method, the detection accuracy and the spatial positioning precision of the organic pollutants in the high-saline-alkali soil are improved.

The invention relates to a preparation method of a high-thermal-conductivity hexagonal boron nitride film in the technical field of new materials, which comprises the following steps: acquiring particle size distribution data of hexagonal boron nitride powder treated by silane, and measuring the distribution condition of hexagonal boron nitride particles with different particle sizes by a particle size analyzer to obtain a particle size distribution curve; the influence of key process parameters on the heat-conducting property, the mechanical strength and the flame-retardant property is verified through experiments, performance data under different process parameters are obtained, and the influence rule of silanization treatment conditions on the surface property of hexagonal boron nitride and the performance of the composite material is focused on; and according to the heat-conducting property, the mechanical strength and the flame-retardant property data, optimizing process parameters by adopting a particle swarm optimization algorithm in a multi-objective optimization algorithm to obtain an optimal process parameter combination.

The invention discloses a regulation and control method for stably improving the water quality of water produced by a reverse osmosis system of a power plant, and relates to the field of water quality regulation and control, which comprises the following steps: configuring a water inlet flow regulation device, performing initial setting, configuring the position of an online sensor, performing data acquisition, setting judgment rules of turbidity, differential pressure and transmembrane pressure difference, and determining the water quality. And configuring a flocculant adding device and adding control logic, configuring a backwashing and adding linkage control state machine, and carrying out data smoothing, trend analysis and self-adaptive threshold adjustment. When the water quality of the raw water fluctuates for a short time or the pollution load is increased, dynamically adjusting the water inlet flow, the backwashing intensity and the flocculant adding concentration based on parameters such as turbidity, pollution index, conductivity and pressure difference which are acquired by an online sensor in real time; and meanwhile, the concentrated water reflux proportion and the high-pressure pump frequency are automatically corrected by continuously calculating the desalting rates of the first-stage and second-stage reverse osmosis devices, so that the running state of the membrane component is kept in an optimal interval.

The invention relates to the technical field of generator set mixed bed operation monitoring, and discloses a fine processing mixed bed failure situation situation sensing system and method, the sensing system comprises a sampling tube, a sampling electric valve, a sampling isolation valve, a cation resin column, a conductivity meter, a mixed bed failure monitoring device and a resin regeneration system; the sampling pipe extends into the central axis of the fine treatment mixed bed; a plurality of sampling pipes are arranged along the height direction of the fine treatment mixed bed, are sequentially connected with a sampling electric valve and a sampling isolation valve, and then are connected in series to one end of a cation resin column; the other end of the cation resin column is connected with the conductivity meter; the mixed bed failure monitoring device is electrically connected with the sampling electric valve, the sampling isolation valve and the conductivity meter; and the resin regeneration system is connected with a water inlet pipeline and a water outlet pipeline of the fine treatment mixed bed through a fine treatment mixed bed resin inlet valve and a fine treatment mixed bed resin outlet valve respectively. Situation awareness of mixed bed failure is achieved by establishing a layered monitoring system, and long-term stability of water quality of a water vapor system of a power plant is guaranteed.

The invention provides a manufacturing method of an ultra-low dielectric loss high-speed copper-clad plate, which comprises the following steps of: constructing a physical coupling model of a multi-zone independent temperature control module and an electro-thermal conductivity adjusting layer based on the thickness of the copper-clad plate and a thermal response parameter of a resin system; space and time dynamic distribution of heating area power and heat conductivity is achieved; a dynamic thermal boundary regulation and control algorithm, finite element simulation and self-adaptive PID feedback are fused, real-time monitoring and deviation compensation of a temperature field are carried out through infrared thermal imaging and edge calculation, heating and heat dissipation strategies are cooperatively adjusted, a heat flow path can be actively guided, the uniformity of thermal stress distribution and the structural stability are achieved, and the method is suitable for large-scale popularization and application. And the thermal management efficiency of the copper-clad plate in a complex manufacturing environment is improved.

The invention discloses a power distribution overhead conductor tree touch fault fire moment determination method and system, and the method comprises the following steps: building an experiment environment, and collecting whole-process data according to a preset sampling frequency in the experiment environment; obtaining the initial moisture content of the experimental tree, calculating the moisture evaporation heat absorption amount and the moisture evaporation mass of the tree model, updating the moisture content of the tree, and performing aligned storage according to time; fitting the relation of the conductivity, the moisture content and the temperature of the tree in the whole process to obtain a conductivity function; constructing a resistance simulation curve by using a conductivity function according to the moisture content and the temperature of the tree, and constructing a resistance actual measurement curve by using voltage and current data collected in an experimental environment; and comparing the resistance simulation curve with the resistance actual measurement curve, and judging the moment when the resistance simulation curve and the resistance actual measurement curve are obviously bifurcated as the moment when the open fire appears. The method is wide in application range and low in cost and maintenance difficulty, and high accuracy is guaranteed.

The invention relates to the technical field of performance detection, in particular to a heat insulation performance detection process for an energy-saving and environment-friendly curtain wall material. Comprising the following steps: S1, cutting a sample; step S2, performing pretreatment; s3, performance testing is carried out; s4, calculating the actual thermal conductivity of the to-be-detected sample according to the actual temperature difference and the heat source condition. According to the invention, the sample area is divided into two types and temperature distribution analysis is carried out to effectively judge the accuracy of the thermal imaging image, and corresponding regulation and control are carried out according to the analysis result, so that the reliability and accuracy of the test are improved, the sample is ensured to be uniformly heated in the test process, local overheating or supercooling is avoided, and the test efficiency is improved. By monitoring a real-time displacement field and environmental parameters, whether jitter or heat flow disturbance exists in the test process can be identified, and the reliability of test data is further ensured; and comparing the calculated actual heat conductivity with a related standard to judge whether the heat insulation performance of the sample meets the requirement or not.

The invention discloses an inter-well connectivity quantification and analysis method and device, and relates to the technical field of water drive development, and the method comprises the steps: carrying out the interlayer division of an original model, and determining the distribution information of a water injection well and a producing well; an oil reservoir is divided into a plurality of grid units through a geometric segmentation method, and it is ensured that the water injection wells and the oil production wells are located in the grid units. And dividing a control area for each well by using a division rule, and determining the affiliation of the grid units through Euclidean distance comparison. And obtaining the conductivity between two adjacent grid units divided by the control boundary. And respectively evaluating the production and water injection capacities of the well by using the production index and the water injection index. And based on a finite volume method, constructing a mass conservation equation for the grid units, and carrying out iterative solution until convergence. And traversing the conductivity connectivity table to calculate a flow component, accumulating to obtain a total flow, deducing an inter-well connectivity coefficient according to the total flow, and realizing quantitative evaluation of the inter-well connectivity coefficient. The problems of how to optimize the injection-production well pattern design and how to improve the water drive development effect and the oil reservoir recovery efficiency are solved.