656 results about "Conductivity" patented technology

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 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 relates to the technical field of electrochemical machining, in particular to an electroplate liquid additive automatic supply control method based on conductivity monitoring data. The method comprises the steps that the temperature, the original conductivity and the carbonate concentration of electroplating liquid are obtained, an activation energy coefficient is determined based on the change trend of the original conductivity and the temperature, dynamic thermodynamic decoupling treatment is conducted on the original conductivity, and the net conductivity of the electroplating liquid is generated; according to the cumulative variation of the net conductivity in the historical time period and the total amount of the additive in the historical time period, the transmission inertia factor of the electroplating liquid is calculated in combination with the carbonate concentration, and the retardation risk index is determined based on the evolution trend of the transmission inertia factor, so that a PID control algorithm is reconstructed, and the supply amount of the additive is obtained; and performing automatic replenishment control based on the replenishment amount. According to the method, the accuracy of automatic supply control is improved by evaluating the degradation state of the bath solution components and self-adaptive integral saturation suppression.

The invention discloses a gas analysis method and system for a gas source purification process, and relates to the technical field of gas detection and analysis. The method comprises the following steps: synchronously acquiring optical, electrochemical and conductivity detection signals in a gas source purification pipeline, and combining environmental parameters such as temperature, humidity and flow; carrying out filtering, anomaly elimination and normalization processing on the detection signal, constructing a multi-dimensional feature vector, and carrying out dimensionality reduction to obtain a principal component feature; and dynamically distributing weights through a self-adaptive weighted fusion model, and calculating a gas purification characteristic value. Establishing a drift prediction model based on historical data, inputting environmental parameters and operation duration to calculate a predicted drift amount, and correcting a gas purification characteristic value; when the drift distance exceeds a threshold value or reaches a calibration period, standard gas is introduced to detect the average response value of the drift distance, a calibration coefficient is calculated according to the concentration of the standard gas, the calibration coefficient is fed back and updated to the weighted fusion model and the drift prediction model, and self-correction and high-precision analysis of the gas purification process are achieved.

The invention provides a thickening agent adding control system based on online viscosity and salt double parameter feedback, and relates to the technical field of industrial automation, the method comprises the following steps: collecting a slurry conductivity signal in real time, establishing a complex nonlinear mapping relation between the conductivity signal and preset mineral ion interference, dynamically taking a current conductivity value as an input, and calculating the viscosity and salt content of the slurry; outputting the real-time corrected salinity concentration; using real-time correction salinity concentration as a trigger condition, and activating an online rotary viscometer to collect a viscosity original time sequence signal; kalman filtering processing of mechanical damping lag errors is carried out on the time sequence signals, three characteristic measurement points are dynamically calibrated in a continuous time sequence window to construct a covariance matrix, characteristic values of the covariance matrix are extracted to generate viscosity compensation factors, and after original viscosity data are corrected, a real-time compensation viscosity value is output. According to the invention, dynamic and accurate regulation and control of addition of the thickening agent are realized.

The invention relates to the technical field of electrochemical water treatment, and discloses a high-salt waste liquid electric flocculation hardness removal and electrodialysis resourceful treatment method and a high-salt waste liquid electric flocculation hardness removal and electrodialysis resourceful treatment system. The method comprises the following steps: collecting water quality parameters of the high-salt waste liquid and initial electrochemical impedance spectroscopy parameters of a polar plate; calculating the initial current density according to the hardness and the conductivity, carrying out electric flocculation treatment, monitoring impedance spectrum change in real time, identifying the scaling type, and predicting the residual operation time of the polar plate; the current density is optimized according to the prediction time, and the residual hardness is calculated; and adjusting electrodialysis parameters by taking the residual hardness as a feedforward signal for concentration, and performing bipolar membrane electrodialysis on the concentrated solution to obtain acid-alkali liquor. The problems that in the electrochemical treatment process of the high-salt waste liquid, the state of a polar plate cannot be monitored in real time, consequently, operation parameters are adjusted blindly, and energy consumption is high and the recycling efficiency is low due to the fact that parameters of a pretreatment unit and parameters of a pretreatment unit are not linked are solved.

The utility model provides a water purifier. The water purifier comprises a filter element assembly, a shell, a conductivity sensor and a turbidity sensor, the filter element assembly is arranged in the shell, and a filter cavity is formed between the filter element assembly and the shell; the shell is provided with a water inlet and a water outlet, the water inlet is communicated with the filter chamber, a filter inlet of the filter element assembly is communicated with the filter chamber, and a filter outlet of the filter element assembly is communicated with the water outlet; the conductivity sensor is arranged at the water inlet, the turbidity sensor is arranged on the shell or the filter element assembly, and the detection end of the turbidity sensor is used for detecting the quality of raw water in the filter cavity. According to the utility model, through dual monitoring of the conductivity sensor and the turbidity sensor, the attenuation slope is obtained by fitting conductivity and turbidity data, and the attenuation slope is compared with a filter element service life attenuation slope database, so that the service life of the filter element can be predicted more accurately.

The invention provides an electrolyte treatment system, and relates to the technical field of electrolyte treatment. The electrolyte treatment system comprises a carrier, the carrier is used for carrying a device, a to-be-detected sample tank, a powder storage tank and a liquid storage tank, the powder storage tank is used for storing solid raw materials, the liquid storage tank is used for storing liquid raw materials, and the to-be-detected sample tank is used for storing to-be-detected electrolyte; the carrier, the preparation device and the detection device are arranged around the transfer device in a surrounding manner; wherein the transfer device is configured to be capable of conveying the appliance and the powder storage tank to the preparation device, the solid raw materials in the powder storage tank are injected into the appliance in the preparation device, and the transfer device can be used for injecting the liquid raw materials in the liquid storage tank into the appliance so as to prepare the electrolyte to be detected; the transfer device is configured to be capable of conveying a to-be-detected sample tank or appliance to the detection device, and the detection device can detect at least one of the conductivity, solvation energy and ultraviolet-visible absorption spectrum of the to-be-detected electrolyte.

The invention relates to the technical field of soil physical parameter in-situ measurement, and discloses a soil layer natural water content portable intelligent measuring instrument based on multi-source sensing fusion, which comprises a composite probe assembly and an intelligent measurement and control host which are physically connected, the composite probe assembly is configured to be inserted into a soil layer to be tested to construct a multi-physical field test environment, and an electrical transceiving unit and an acoustic transceiving unit are integrated in the composite probe assembly. By constructing a cross physical field excitation and multiphase parameter collaborative decoupling mechanism, a multidimensional dynamic correlation model is established by using the thermosensitive drift characteristic of the sound velocity of a mixed medium during thermal disturbance and the transient step response of a dielectric constant under an acoustic radiation force field; the problems that the coupling influence of the water content and the volume weight cannot be distinguished and the conductivity of bound water and the conductivity of free water are difficult to separate in a traditional means are effectively solved, and four independent physical quantities including the volumetric water content, the in-situ dry volume weight, the bound water content and the actual conductivity of pore water are synchronously inverted through a single probe. And the decoupling precision of the equipment on complex multi-phase soil medium parameters is improved.

The invention relates to the technical field of wastewater treatment, and discloses a heavy metal wastewater treatment method and system.The method comprises the steps that the concentration, pH value, temperature and conductivity data of heavy metal ions are collected in real time through multiple types of sensors arranged in a wastewater pipe network and a treatment station, and standardized treatment is conducted; inputting the standardized data into a prediction algorithm unit, executing multi-parameter fusion analysis, and generating a concentration prediction result and a processing agent dosage; the coagulation reactor and the sedimentation tank are controlled to operate according to the prediction result, and chemical sedimentation and concentration of the heavy metal ions are achieved; the treated wastewater is deeply purified through adsorption, ion exchange and filtering processes, the final discharged water quality is obtained, the treatment efficiency is fed back, and closed-loop optimization control is formed. The system comprises a data acquisition and pretreatment module, a prediction and addition control module and a reaction and purification execution module, can realize automatic and intelligent optimization control of the wastewater treatment process, and remarkably improves the effluent standard-reaching rate and the system stability.

The invention relates to the technical field of industrial process intelligent analysis, in particular to a method and system for monitoring the regeneration process of make-up water resin, and the method comprises the steps of monitoring backwashing, water filling, layering and regeneration processes through images and sensing signals, judging a reaction endpoint, calculating the optimal regeneration duration and outputting a monitoring result. The expansion height and layering texture features of a resin bed are captured through machine vision, the physical form is accurately fed back to avoid resin loss and guarantee the layering effect, the gas-liquid phase change moment is sensitively captured through the frequency shift characteristic of vibration frequency, the filling degree of a tank medium is guaranteed, and the contact efficiency is improved. According to the method, the concentration trend and the conductivity variance are analyzed in combination with least square regression, the chemical equilibrium endpoint of the ion exchange reaction is intelligently recognized, the optimal operation duration is calculated by applying nonparametric trend inspection, data driving in the regeneration process is achieved, and the agent consumption and the time cost are remarkably reduced on the premise that the effluent quality is guaranteed.

The invention relates to a resin life prediction method and device, a storage medium and electronic equipment, and relates to the field of nuclear technology, and the method comprises the steps: firstly obtaining the exchange capability data of resin in a purification system and the purification flow of the purification system; measuring the inlet conductivity of the coolant flowing into the resin on line by using a first conductivity measuring instrument, wherein the first conductivity measuring instrument is arranged at the inlet of the coolant flowing into the resin; measuring the outlet conductivity of the coolant outflow resin on line by using a second conductivity measuring instrument, wherein the second conductivity measuring instrument is arranged at the outlet of the coolant outflow resin column; based on the inlet conductivity and the outlet conductivity, the equivalent concentration of impurity ions in the coolant is determined; and finally, predicting the service life of the resin according to the equivalent concentration of the impurity ions, the exchange capacity data of the resin and the purification flow of the purification system. Through the scheme disclosed by the invention, online prediction of the service life of the resin can be realized, and the time hysteresis of prediction of the service life of the resin is effectively reduced.

The invention particularly relates to an intelligent monitoring method and system for the service life of an ion exchange resin mixed bed, and belongs to the technical field of ion exchange resin water treatment. The method comprises the following steps: collecting real-time flow and real-time conductivity of mixed bed inlet water; executing a mixed bed service life intelligent evaluation algorithm, and dynamically estimating a mixed bed exchange capacity consumption rate and a mixed bed residual operation duration; displaying the exchange capacity consumption rate of the mixed bed and the residual running time of the mixed bed in real time in the form of numbers, progress bars or trend curves; and when the exchange capacity consumption rate of the mixed bed and the residual operation duration of the mixed bed are lower than a preset threshold value, triggering an early warning prompt. The system implements the steps of the method. The invention provides the universal, convenient and economic intelligent monitoring method and system for the service life of the ion exchange resin mixed bed, and the real-time dynamic monitoring of the residual exchange capacity of the ion exchange resin mixed bed and the accurate prediction of the residual operation service life are realized.

The invention provides a cooling tower cleaning period decision-making method based on filler layer resistance characteristic online identification, which comprises the following steps: acquiring multi-dimensional time sequence data such as differential pressure, water temperature, conductivity, turbidity and microbial concentration based on a multi-source sensor, and constructing a structured trend characteristic matrix through time synchronization, abnormal value elimination and statistical characteristic extraction; in combination with expert knowledge, constructing a multi-modal combined pollution knowledge graph, and learning pollution factor interaction weights by using a graph neural network to realize causal reasoning of combined pollution mechanisms such as scaling, biological slime and the like; according to the method, an abnormal causal chain path is efficiently matched in a knowledge graph by adopting improved A * search, causes and evolution stages are output, automatic attribution and intelligent cleaning suggestion optimization are realized, and the resistance abnormity diagnosis accuracy and the adaptability of a cleaning strategy are improved by continuously feeding back diagnosis results and dynamically expanding a knowledge graph structure.

The embodiment of the invention provides a drainage recovery control method and system for a multi-source heat supply network. The method comprises the steps that data acquisition equipment is installed on all drainage pipelines before entering a drainage tank of the heat supply network; acquiring temperature parameters, flow parameters and conductivity parameters of each path of hydrophobic water in real time through the data acquisition equipment; and based on the temperature parameter, the flow parameter and the conductivity parameter, comprehensive state judgment of hydrophobic recovery treatment is carried out, and based on a judgment result, dynamic pollution discharge control is carried out. According to the embodiment of the invention, the blow-down valve is opened in a targeted manner through real-time acquisition and layered judgment, so that the mixed hydrophobic parameters are stabilized in a threshold range, and the problem that traditional static control cannot adapt to multi-source parameter differences is solved; and on the basis that pollution discharge is triggered only when parameters exceed the standard, qualified drained water is prevented from being discharged by mistake, and recoverable water resources and waste heat resources are reserved to the maximum extent.

The invention discloses a method for predicting electrostatic potential in a storage tank in oil collection operation of a storage tank, and the method comprises the following steps: initializing and constructing a knowledge respectively establishing a multipath leakage equivalent circuit model library for a fixed roof tank and an inner floating roof tank, the initial fitting impulse current calculation coefficient range, the optimization constraint condition and the conductivity-temperature relation function library are stored; real-time prediction and monitoring: acquiring multi-dimensional data in real time, preprocessing, dynamically calibrating charge generation items, and calculating charge balance by combining a multi-path leakage model and capacitance correction; meanwhile, a high-frequency flow meter is used for detecting the sudden change of the flow speed to trigger an LSTM transient compensation model to predict the transient electrostatic potential variable quantity, and the transient electrostatic potential variable quantity is superposed on a physical model predicted value result to obtain a final electrostatic potential predicted value; dynamic risk assessment and early warning: triggering different levels of early warning according to an assessment result; and deep analysis of abnormal working conditions: when the abnormal working conditions occur, automatically starting local CFD micro-simulation driven by edge calculation to verify local charge aggregation and electric field distortion conditions.

The invention relates to an ocean sensor technology, in particular to a temperature and salt sensor and a real-time error compensation method thereof, and the compensation method comprises the following steps: synchronously collecting temperature data, conductivity data, water depth pressure data and auxiliary environment parameters of seawater; calculating the movement speed of the equipment through the pressure variation of the adjacent sampling points; decomposing the error into a horizon deviation error, an environment interference error and an equipment movement speed related error; on the basis of an error decomposition result, calculating compensation parameters through a multivariate error model, and performing two-dimensional compensation on the temperature data and the conductivity data according to the compensation parameters, including time matching compensation based on sensor response time difference and correction for environmental parameter influence; based on the corrected temperature and conductivity data, the salinity is calculated through a standard seawater state equation according to the ITS-90 temperature standard and the PSS-78 salt standard, and therefore the measurement precision and stability are remarkably improved.

The invention relates to a portable hydrogen conductivity measuring device based on electrodeionization. The portable hydrogen conductivity measuring device comprises a sampling detection subsystem, an electrodeionization subsystem, a measuring subsystem and a processor, the sampling detection subsystem is communicated with the electrodeionization subsystem and the measurement subsystem and is used for controlling the temperature, the pressure and the flow of sample water flowing into the electrodeionization system; the electrodeionization subsystem is communicated with the measurement subsystem and is used for removing cations in the sample water; the measurement subsystem is communicated with the electrodeionization system and is used for accurately measuring the conductivity, namely the hydrogen conductivity, of the sample water subjected to EDI treatment in real time; and the processor is used for providing a stable excitation signal for the conductivity electrode, acquiring an original resistance or conductivity signal and a temperature signal of the electrode, executing a temperature compensation algorithm to obtain a hydrogen conductivity value at 25 DEG C, outputting a final result to the display screen, and transmitting the final result to an external system. The invention also discloses a corresponding measurement method, electronic equipment and a computer readable storage medium.

The invention provides a multi-path sample table for testing the thermal conductivity of a material at an ultralow temperature, the sample table can cool a sample to be tested under the action of a cold source, the sample table comprises a sample platform, the top of the sample platform is provided with a plurality of spaced mounting grooves; the clamp is used for clamping the to-be-tested sample, one end of the to-be-tested sample is connected to the clamp, the other end of the to-be-tested sample is far away from the clamp, and the clamp is suitable for being fixed in the mounting groove; one end, close to the clamp, of the to-be-tested sample is provided with a first temperature measuring element used for monitoring the cold end temperature of the to-be-tested sample, one end, far away from the clamp, of the to-be-tested sample is provided with a heater and a second temperature measuring element used for monitoring the hot end temperature of the to-be-tested sample, and the sample platform is provided with a third temperature measuring element used for monitoring the hot end temperature of the to-be-tested sample. The temperature sensor is used for monitoring the temperature of the sample platform. The problem that in the prior art, the steady-state method is low in testing efficiency is solved, and the purpose of improving the steady-state method heat conductivity testing efficiency at the ultralow temperature is achieved.

The invention relates to the field of industrial online monitoring and chemical analysis, and particularly discloses a performance evaluation method of a cation exchange column in hydrogen conductivity measurement. The method comprises the following steps: acquiring multi-dimensional time sequence data of an ion exchange column through a multi-modal sensor array, and after collaborative cleaning and quality checking, extracting a mixed feature set reflecting the running state and the degradation trend of the ion exchange column by utilizing dynamic feature engineering; the features are input into a hybrid intelligent evaluation model fusing an improved Thomas mechanism model and machine learning models such as LSTM-Attention and Transform, and health degree scoring, residual life prediction and degradation mode recognition are achieved; finally, state verification and root cause positioning are carried out in combination with a virtual twinborn model based on CFD and reaction kinetics, and hierarchical maintenance decision suggestions are generated. According to the invention, early sensitive perception, accurate evaluation and predictive maintenance of the performance of the cation exchange column are realized, and the reliability and intelligent operation and maintenance level of hydrogen conductivity measurement are effectively improved.

The invention discloses an industrial control system and method for an ultrapure water treatment device, and the method comprises the steps: carrying out the deep excavation and normalization calculation of parameters, such as original pressure, flow, temperature, conductivity and the like, collected in the operation process of an ultrafiltration and reverse osmosis membrane; golden features (such as normalized water yield and desalination rate) reflecting the real performance state of consumables can be effectively extracted, and then the normalized time sequence data without environmental interference are further input into an advanced decline trend prediction model, so that the remaining effective life of the reverse osmosis membrane is assessed and predicted prospectively, and the real performance state of the consumables is predicted. And the control normal form conversion from passive response to active early warning is realized. In this way, the system can get rid of external interference and accurately recognize progressive performance degradation of the ultrafiltration membrane and the RO membrane, and therefore the intelligent operation and maintenance level of the ultrapure water treatment device is remarkably improved.

The application discloses a transformer operation state monitoring and fault early warning method based on state index calculation, relates to the technical field of transformer operation state monitoring, and aims to solve the problem of reduced accuracy of potential fault identification. In the transformer operation process, winding temperature is collected to calculate temperature rise trend and monitor vibration state, vibration frequency is obtained, operation stress coefficient is calculated in combination with the temperature rise trend and the vibration frequency, the electric conductivity of insulation oil in the oil circulation pipeline is detected, the state index is generated by comprehensively considering the electric conductivity and the operation stress coefficient, and the transformer operation state is classified accordingly. When the state is warning, multiple groups of different cooling powers are inputted, the monitoring time is set, the corresponding radiator outlet air temperature is collected, the power change amount and the outlet air temperature difference change amount are calculated after the cooling powers are sorted, the heat dissipation characteristics are comprehensively evaluated, and it is judged whether a fault warning signal is generated, so that early warning of potential faults of the transformer is realized, and operation safety and reliability are improved.

The invention relates to the field of grounding technology and electrical measurement, and discloses a grounding electrode current diffusion characteristic and environment correlation analysis method, which comprises the following steps: acquiring a ground electricity state vector representing soil electrochemical characteristics; constructing and calibrating a state phase space evolution model for describing time-space evolution of the vector; an adaptive dynamic analysis closed loop is executed, a state vector at the next moment and uncertainty are predicted through the model, an adaptive sensing protocol is generated based on the uncertainty to guide new data collection, a prediction result is corrected through new data, and a corrected state vector is obtained; and finally, based on the continuous corrected state vector, analyzing the causal association between the environment and the state, reconstructing three-dimensional complex conductivity distribution, and determining current diffusion characteristics such as grounding impedance through numerical calculation. According to the method, the limitation of static evaluation in the prior art is solved, and the dynamic prediction of the performance of the grounding system and the physical tracing of the abnormal cause are realized.

The invention relates to the technical field of instrument checking, and discloses a power plant chemical instrument checking method and device capable of automatically adjusting the temperature, and the method comprises the following steps: collecting the temperature of a main water sample and a reference water sample, monitoring the mixed water temperature, and starting checking when the temperature difference exceeds a temperature threshold value; setting a gradient temperature check point, and calculating a theoretical conductivity value; controlling the temperature of the main water sample and the reference water sample by adopting a multi-stage flow path; when the water temperature reaches a steady state, sodium standard liquid is injected, and theoretical sodium concentration increment is calculated; converting the potential signal into a sodium concentration measured value by adopting a difference algorithm; constructing a temperature-concentration double-variable high-order response curved surface model; performing back-stepping to obtain simulation concentration, calculating confidence factors, and triggering grading response; according to the method, a temperature-concentration linkage response curved surface model is constructed, all working conditions of temperature and concentration are covered, confidence factors are introduced to quantify calibration reliability, and an adaptive closed-loop compensation mechanism is established for iterative optimization, so that chemical verification of the power plant is realized.

The invention provides a Kirchhoff's law-based power distribution network line loss abnormity positioning method and device, and the method comprises the steps: obtaining the temperature, moisture content and salt content parameters of soil through a multi-sensor integrated monitoring probe, embedding a special temperature and humidity sensor for a frozen soil region in the top of the multi-sensor integrated monitoring probe, and embedding a soil moisture content TDR probe in the middle of the multi-sensor integrated monitoring probe, a salt content monitoring conductivity sensor is embedded in the bottom; constructing a permafrost region resistivity correction model based on the parameters; a dynamic compensation Kalman filtering algorithm is adopted to process a model output value, and the output dynamic correction soil resistivity is transmitted to a grounding electrode detector host; and the host fuses the correction value and the electromagnetic signal acquired by the electromagnetic signal receiving sensor, and outputs the distribution state of the grounding electrode. According to the invention, a multi-sensor integrated probe is used to acquire parameters to construct a model, and a correction value and an electromagnetic signal are fused after dynamic correction by a Kalman filtering algorithm, so that the detection precision of the plateau permafrost region is improved.

The invention relates to the technical field of purified water systems, and discloses an intelligent control and cleaning method of a two-stage reverse osmosis purified water system, which comprises the following steps: step 1, acquiring water temperature, pH value, conductivity and instrument data of a water inlet and a water outlet in the purified water preparation process; 2, comparing the obtained data of each instrument with a set data reference and fluctuation range, and judging whether the data of each instrument is abnormal or not; and step 3, when the instrument data is abnormal, obtaining estimated correct data of the abnormal instrument according to the normal and abnormal instrument data and the historical data. According to the method, whether part of instrument data is abnormal or not is judged through various data in the pure water preparation process, when the instrument data is abnormal, estimated correct data is obtained according to association characteristics of an abnormal instrument and other normal data and the obtained various data, and then the obtained estimated correct data is verified.

The utility model provides an ore pulp conductivity measuring device, which belongs to the technical field of ore pulp conductivity measurement, and comprises an ore pulp container and a conductivity sensor, the ore pulp container is of a conical structure with an opening at the upper part, the interior of the ore pulp container is used for containing slurry, and a plurality of layers of replaceable covering films are adhered to the interior of the ore pulp container. The conductivity sensor is used for measuring the conductivity of slurry in the ore pulp container, the conductivity sensor is located in the ore pulp container, and the conductivity sensor is detachably connected with the ore pulp container; the shape of the covering film is matched with that of the inner side wall of the ore pulp container; the ore pulp conductivity measuring device can solve the problem that conductivity measurement is inaccurate due to the fact that an ore pulp container in the ore pulp conductivity measuring device is inconvenient to clean, reduces measurement errors caused by incomplete cleaning, and improves measurement accuracy.

The invention relates to a control method and device of a mineralization water purification system, the mineralization water purification system and equipment, and the method comprises the following steps: if the mineralization water purification system is in a standby mode, obtaining standby duration and a real-time conductivity value of a current reflux treatment process; calculating the mineral dissolution rate according to the real-time conductivity value; dynamically updating a target duration threshold value based on the mineral dissolution rate; and under the condition that the standby duration is greater than a target duration threshold value, controlling the mineral water in the mineralization filter element to flow back to a reverse osmosis assembly of the mineralization water purification system for purification treatment. The invention provides a control method capable of dynamically adjusting the reflux duration interval according to the mineral dissolution rate, can adapt to the life change of the mineralization filter element, and adaptively adjusts the operation mode of the reflux flushing mode of the mineralization water purification system, thereby ensuring the stability of the mineral concentration of the first cup of water.

The invention discloses an electric power system carbon emission conductivity evaluation method, system and device in a market environment, and a storage medium, and relates to the technical field of electric power market and carbon market cooperative operation, and the method comprises the steps: constructing a decentralized clearing model of an electric power market and a carbon market, and carrying out the first-round clearing; a combined clearing model of the electricity market and the carbon market is constructed to carry out second round clearing, and the variation of the cost of the power generation side under dispersed clearing and combined clearing is output; tracking the power generation carbon emission cost to a load side by using a carbon flow tracking theory, and obtaining the ratio of the carbon emission cost change of a user side according to the carbon price; the carbon emission conductivity of the generator to the load is output based on the ratio of the user-side carbon emission cost change. According to the method, the influence of the carbon price on the power generation cost is quantified through dispersion and joint clearing comparison, accurate distribution of the carbon cost from a power generation side to a load side is realized by using a carbon flow tracking theory, a carbon emission conductivity index is proposed, and visualization and quantification of a carbon cost conduction path are realized.

The invention belongs to the technical field of water quality analysis, and particularly relates to a self-cleaning water quality analysis sampling device which comprises a conductivity sensor assembly, the conductivity sensor assembly comprises a conductivity electrode bar capable of linearly moving, the conductivity electrode bar is arranged on the inner side of a sensor shell in a sealed mode, and a through hole is formed in the bottom of the sensor shell; a conductive silicone rubber sheet for covering the inner side of the through hole is arranged on the inner side of the sensor shell, and different parts of the conductive silicone rubber sheet cover the through hole through movement; during water quality analysis, the conductive silicon rubber sheet is extruded to deform and protrude outwards through linear movement of the conductive electrode bar, the conductive silicon rubber sheet is extruded to deform and protrude outwards after the conductive electrode bar moves through linear movement of the conductive electrode bar, and stable and good contact can be formed between the conductive electrode bar and the conductive silicon rubber sheet; due to the fact that the conductive electrode rod is not in direct contact with water, the condition that stains are attached is avoided, and the condition that the electrode is damaged is avoided.