757results about "Level control" patented technology

The invention provides a hydro-junction water level adjusting method and system. Wherein the sediment deposition space-time atlas containing the sedimentary gradient is constructed and periodically corrected through scanning of an underwater robot and synchronous acquisition of satellite remote sensing data. A radar array is deployed at a bend section of a flood discharge channel, and vector distribution of a three-dimensional sediment flow velocity field is analyzed by using multi-frequency pulse signals. Through correlation analysis of the dynamic coupling sedimentary gradient and the flow velocity field, a correlation area of flow velocity sudden change and sediment deposition is accurately identified, and a constraint condition set including coordinate positioning and a flow-sediment matching rule is established. And in combination with real-time water level monitoring data, calculating and generating a dynamic adjustment parameter sequence of the opening degree of the flood discharge gate by using a constraint condition set, thereby realizing accurate regulation and control of the water level. According to the technical scheme, the flood discharge parameters are intelligently optimized, the water level of the hydro-junction can be accurately regulated and controlled, the sediment deposition problem of a high-sediment-content water area is effectively relieved, and safe operation and flood control efficiency of the junction are guaranteed.

The invention discloses a two-phase immersed liquid cooling liquid level intelligent dynamic regulation and control system and method, and relates to the technical field of liquid cooling intelligent processing. The two-phase immersion type liquid cooling liquid level intelligent dynamic regulation and control method comprises the steps that S1, state observation data, execution control data and log data in the liquid cooling liquid level regulation and control process are collected and preprocessed, and a standardized liquid cooling state data set is constructed; s2, the synchronism of the evaporation strengthening trend is evaluated, and the opening degree of an electronic control valve is adjusted; s3, analyzing a control feasible region under gas-liquid balance constraint, and optimizing the working mode of the two-way pump; and S4, the consistency of the feedback trend and the rolling decision is analyzed, and the circulating flow of the cooling coil and the heat exchange intensity of the condenser are adjusted. The problems that when power consumption of an existing two-phase immersion liquid cooling system changes dramatically, due to lag control of a single sensor and lack of multi-dimensional data prediction, evaporation and liquid supplementing actions are prone to being mismatched, and liquid level decline, pressure abnormity and chip dry burning are caused are solved.

The invention discloses a double-capacity water tank control method based on multi-target reward Q learning, and belongs to the technical field of machine learning and automatic control. The method comprises the following steps: firstly, establishing a discretization mathematical model of a double-capacity water tank liquid level control system, and designing a multi-target reward function; secondly, empirical data are stored only when the liquid level tracking error exceeds the limit or the control quantity suddenly changes, and sampling weights are distributed according to award absolute values; and finally, updating the Q table based on the time difference error, and performing closed-loop real-time control on the double-tank water tank according to the dynamically adjusted PID parameter. According to the method, a five-dimensional reward function is designed, and multi-index dynamic balance is realized through linear weighting; the empirical tuple is stored only when the liquid level tracking error exceeds the limit, and the quick response requirement of the dynamic time-varying scene of the double-capacity water tank is met; dimensionality reduction is performed on a continuous state space by adopting a non-uniform grading strategy, so that the calculation complexity is remarkably reduced; a perception-decision-execution integrated framework is constructed, and the dependence of a traditional control method on a mathematical model of the water tank is abandoned.

A liquid level controlling apparatus includes a plurality of main sinks, a storage sink, a pump and a connection tube. One of the plurality of main sinks includes a transmission port and a first liquid level detector. The storage sink includes a delivery port and a second liquid level detector. The pump includes an outlet and an inlet. The connection tube includes an rehydration tube and an drain tube. The rehydration tube has a first rehydration section and a second rehydration section. The first rehydration section is connected between the delivery port and the inlet. The second rehydration section is connected between the outlet and the transmission port. The drain tube has a first drain section and a second drain section. The first drain section is connected between the transmission port and the inlet. The second drain section is connected between the outlet and the delivery port.

The invention is suitable for the technical field of pump station intelligent control, and provides a pump station water level self-adaptive regulation and control method and system, and the method comprises the following steps: obtaining water level time sequence data, equipment state data and environment information data in real time; predicting a water level value of a future preset time window based on a physical mechanism prediction model according to the water level time sequence data, the equipment state data and the environment information data to obtain a first prediction value; based on a data-driven prediction model, according to the water level time sequence data, the equipment state data and the environment information data, predicting a water level value of a future preset time window to obtain a second prediction value; performing adaptive weighted fusion on the first predicted value and the second predicted value to obtain a comprehensive predicted value; and according to the comprehensive predicted value, carrying out self-adaptive regulation and control on the pump station water level. According to the invention, by constructing a hybrid prediction model based on a physical mechanism and data driving and introducing an adaptive weighted fusion mechanism, accurate short-term prediction and adaptive regulation and control of the future water level are realized.

The invention relates to the technical field of drainage control, in particular to a liquid level sensing drainage control method and system based on electronic and floating ball cooperative detection, and the method comprises the steps: fusing the angular displacement, capacitance value and acceleration disturbance data of a floating ball, and constructing a liquid level state observer; a dynamic compensation factor is introduced to strip liquid shaking interference, and an accurate liquid level reference value is obtained; a composite control vector is constructed based on the liquid level deviation and the change rate, and a drainage instruction is generated through analysis to control a valve to act; meanwhile, a self-adaptive feedback adjustment mechanism is established, observer parameters are dynamically calibrated through liquid level response residual errors, and the drifting error of an actuator is offset; according to the technical scheme, the robustness of drainage control can be remarkably improved.

The invention discloses an open channel high-flow interference water level control method based on storage compensation and improved PID coupling, and the method comprises the following steps: collecting channel operation parameters in real time, including current flow, water level fluctuation amplitude, predicted demand and on-way resistance coefficient distribution; dynamically constructing a channel damping effect model based on the on-way resistance coefficient distribution, calculating water level control response delay time, and generating a preposed adjustment coefficient; dynamically adjusting the actual participation volume according to the maximum effective storage volume and the maximum effective storage volume of the stagnant storage area; a compensation control quantity is generated by the input improved PID controller; and the compensation control quantity is executed to adjust the opening degree of the channel gate, and dynamic suppression of water level fluctuation is achieved. The water level stability and the control effect of the open channel can be improved.

The invention discloses a curve model filtering-based high-speed wire rotational flow pool liquid level correction control method and system, and relates to the technical field of steel production, and the method comprises the following steps: collecting a liquid level signal, and constructing a fixed curve model according to a process stage; a staged deviation zone is set according to the model, deviation is compared and calculated in real time, and abnormity judgment is carried out; performing previous normal value substitution, model prediction value substitution or triggering process alarm on the abnormal section according to the duration to obtain a substitution sequence; and performing composite filtering on the alternative sequence, and outputting a corrected liquid level for closed-loop control and visualization. Through four-stage fixed curve modeling and staged deviation band judgment, graded substitution is triggered by a pull-back amount, a phase drift amount and a logic consistency rate, and compound filtering closed-loop control is performed on a substitution sequence, so that accurate anomaly detection, low false alarm, continuous curve and stable control are realized.

The invention relates to the technical field of flotation machinery, and particularly discloses a high-precision automatic liquid level control system which comprises an intelligent controller, a PID controller, a laser distance measuring sensor, a floating ball and an intelligent valve positioner, the floating ball floats on the upper surface of liquid in a flotation tank, and the upper end of the floating ball is connected with a position feedback plate; the laser distance measuring sensor is used for measuring the position of the position feedback plate to obtain an actual liquid level and transmitting the actual liquid level data to the PID controller; the PID controller is used for carrying out PID operation on the actual liquid level and the set liquid level and outputting a signal to the intelligent valve positioner, and the intelligent valve positioner is used for controlling the air cylinder to move and opening or closing the valve through the linkage mechanism and feeding back execution parameters to the intelligent controller, so that the liquid level is automatically adjusted on line.

The present application relates to a kind of water spraying truck water level intelligent control system, including frame, the top of the frame is fixed with water tank, the tail of the water tank is fixedly installed with display screen, the bottom of the frame is fixedly connected with scissor frame, the frame and the scissor frame are fixedly connected with first electric push rod, the frame is driven connection with spray pipe between the scissor frame, the spray pipe includes main spray pipe and vice spray pipe, the bottom of the scissor frame is fixedly connected with main spray pipe, the both ends of the main spray pipe are hingedly connected with vice spray pipe, the main spray pipe is communicated with the vice spray pipe, the second electric push rod is fixedly connected between the vice spray pipe.The present application not only solves the problem that the working distance is not easy to control in the prior art when water spraying truck works, leading to often spraying to half without water, or after spraying work is completed, there is still a lot of water in water tank, but also can increase spraying area, improve work efficiency.

The invention provides an automatic dosing adjustment method, device and system and a storage medium, and relates to the technical field of automatic control. The automatic dosing adjusting device comprises a flow measuring barrel, a processor, an automatic adjusting valve, a pneumatic pipe clamp valve and a liquid level sensor; the flow measuring barrel is connected in series to the downstream of the automatic regulating valve; the pneumatic pipe clamp valve is connected to the downstream of the flow measuring barrel in series. According to the structure, through an indirect metering mode of the flow measuring barrel and an unobstructed channel of the pneumatic pipe clamp valve, the problem of core blockage of a traditional dosing system in measurement and control points is integrally solved. The high-reliability hardware is integrated into a closed-loop automatic control system by a processor, and an automatic regulating valve can be instructed to perform precise regulation according to real-time and accurate flow data, so that stable and accurate automatic dosing is realized, and the system reliability and the medicament utilization efficiency are remarkably improved.

The invention provides a sterilization pot self-adaptive water supplementing control method and system based on water level monitoring and a medium, a dynamic water level threshold value is generated by reading a historical water database, and water level information of a heating water tank is obtained in real time; when the water level is lower than a protection water level threshold value, a heating power supply is cut off and dry burning protection is triggered; when the water level is lower than the forced water level threshold value, full-amount water supplementing is started until the water level rises to the forced water level threshold value; when the water level is between the forced water level threshold value and the dynamic water level threshold value, pulse water replenishing is started based on the deviation between the real-time water level and the target water level to dynamically adjust the water replenishing rate; and finally, updating the water database after the sterilization period is finished to form closed-loop optimization. According to the method, the water replenishing time is pre-judged through the dynamic threshold value, the water replenishing efficiency and the temperature stability are balanced based on the grading response mechanism, the control parameters are continuously optimized by utilizing historical data, the dry burning risk and the manual intervention requirement are remarkably reduced, and safe and autonomous operation of the sterilization equipment under the variable-load and long-period working conditions is achieved.

The application discloses a kind of constant humidity air conditioner humidifier liquid level control device and method, belong to air conditioning and environmental control technical field.The liquid level control device includes perception and feedback module, execution and control module, support and water inlet and outlet module.The beneficial effects of the present application include: the automatic switching of humidifier water supply valve open\close state is realized, so that the dynamic accurate control of humidifier water tank liquid level under high temperature and high humidity condition is carried out;The scheme does not depend on complex electronic detection and control circuit, there is no risk of water vapor diffusion penetration to circuit hardware, can cope with mild scale influence, parts cooperate smoothly, overall structure is stable and reliable, water supply dynamic response is sensitive, boiling interference resistance is strong, suitable for long-term stable operation under high temperature and high humidity environment.

The invention discloses a water level automatic control device for a hydraulic model test, which comprises control units respectively arranged at the water level upstream and the water level downstream of a hydraulic model water tank, and is characterized in that each control unit comprises a door mounting frame, a gate, a threaded rotating rod, a height sensor, a control box, a water level meter and a track, the gate is rotationally connected with a threaded rotating rod, the threaded rotating rod penetrates through the mounting plate and is connected with the electric knob, the height sensor and the control box are mounted on the mounting plate, and the control box is connected with the water level meter through a signal transmission line. The control method comprises the following steps: S1, equipment installation; s2, debugging the device; s3, creating a test item; s4, water level closed-loop control; s5, confirming the water level; s6, collecting and recording data; and S7, completing test cycle monitoring. By adjusting the opening degree of the gate, it is ensured that upstream and downstream water levels are stabilized within the set range, and the problems that in the prior art, manual water level control is low in efficiency and poor in precision in the low-pressure environment are solved.

The invention relates to a liquid level control device of a vacuum crystallizer. Relates to the technical field of vacuum crystallization. The device comprises a flash tank arranged below a crystallization pot, the flash tank is provided with an overflow port, and the bottom end of a discharge pipe extends into the flash tank and is lower than the overflow port, so that feed liquid and liquid level in the flash tank automatically flow out of the overflow port when reaching the height of the overflow port. The overflow port is formed in the overflow groove, the bottom end of the discharge pipe extends to the position below the overflow port in the overflow groove, when the liquid level of feed liquid in the overflow groove reaches the height where the overflow port is located, the feed liquid automatically flows out of the overflow port, liquid level control over the feed liquid in the overflow groove is achieved, and therefore the liquid level of the feed liquid in the overflow groove is controlled. The liquid level control device is simple in structure, reliability of liquid level control in the vacuum crystallizer can be improved, and then the effect of liquid level control in the vacuum crystallizer is guaranteed.

A computer-implemented method includes obtaining plant steam data regarding a plurality of steam traps of an industrial plant implementing a steam distribution network during operation of the industrial plant. A database is developed using the plant steam data and used to develop a mathematical correlation that describes a condensation removal rate as a function of parameters including a type of steam trap, temperature, pressure, and a steam volumetric flow rate. A digital twin of the steam distribution network is developed using a machine-learning model and the mathematical correlation, where the digital twin represents all steam straps of the steam distribution network. During operation of the industrial plant, a trap condition of a steam trap of the digital twin is estimated based on a set of plant steam data regarding the plurality of steam traps of the industrial plant.

The embodiment of the invention provides an anti-overflow control method of a distributor, a controller, the distributor and a storage medium, the distributor is provided with an ingredient output port and a water box, and the water box is provided with a liquid level sensor; then, the first liquid level height of the water box is detected through a liquid level sensor; according to the first liquid level height, a target filling mode and target anti-overflow protection are started, the target filling mode is an automatic filling mode and / or a manual filling mode, and the target anti-overflow protection is automatic filling anti-overflow protection and / or manual filling anti-overflow protection. The liquid level sensor is arranged in the water box, the liquid level height of the water box can be detected through the liquid level sensor so that the liquid level state of the water box can be judged, the target filling mode and target anti-overflow protection can be set according to the liquid level state of the water box, and therefore the situation that water overflows to the ground is reduced, and meanwhile the water filling efficiency is improved. The situation that a user cannot receive water after the overflow water box is full of water is avoided, and the use experience of the user is improved.

The invention discloses a method for determining the feed water flow of an evaporator of a nuclear power station and a related device, and relates to the technical field of thermoelectric conversion, and the method comprises the steps: obtaining the steam flow of an outlet of the evaporator, the secondary loop pressure of the evaporator, and the feed water temperature and nuclear power of an inlet of a main water supply pipe; the specific enthalpy coefficient is determined by looking up a table according to the secondary loop pressure of the evaporator and the feed water temperature, and the specific enthalpy coefficient is the ratio of the steam specific enthalpy to the feed water specific enthalpy; the nuclear power is converted into theoretical steam flow, the theoretical steam flow is used for verifying the steam flow of an evaporator outlet, and if verification passes, the steam flow of the evaporator outlet is used as one of the inputs of the feed water flow soft measurement model; and inputting the specific enthalpy coefficient, the steam flow at the outlet of the evaporator and the secondary loop pressure of the evaporator into a water flow soft measurement model to obtain the theoretical feed water flow. According to the method, high-precision dynamic measurement and calculation of the water supply flow of the evaporator are realized based on the water supply flow soft measurement model.

The invention relates to the technical field of nuclear power plant automatic control and fluid regulation, in particular to a nuclear power plant condensation water regulating valve automatic control system which comprises a sensor data acquisition and synchronization module which acquires and synchronizes parameters in a nuclear power plant condensation water system; the reinforcement learning control module reads parameters of the sensor data acquisition and synchronization module, and generates a regulating valve control strategy by using a reinforcement learning algorithm; the real-time prediction and control decision module controls and predicts the opening degree of the condensed water regulating valve according to the regulating strategy of the reinforcement learning control module; and the anomaly detection and safety protection module reads the parameters acquired by the data acquisition and synchronization module, monitors the parameters and gives an alarm according to an anomaly monitoring result. According to the system, valve oscillation and unreasonable adjustment in a traditional method can be avoided while a valve adjustment strategy is learned and optimized in real time, and the precision and stability of condensed water flow adjustment are improved.

The invention relates to the technical field of gate opening control, in particular to a gate opening control method and system based on a machine learning algorithm, a dual-channel LSTM (Long Short Term Memory) prediction model unit adopts dual-channel processing, processes meteorological modal data and hydrological modal data respectively, performs corresponding feature extraction, and adopts an attention mechanism, so as to achieve the control of the gate opening. The influence weight ratio of the meteorological factors and the hydrological factors is dynamically adjusted, a subsequent prediction result is more adaptive to an actual application scene, and the prediction precision is further improved; in the subsequent control instruction generation, an instruction rolling optimization generation adjustment algorithm is adopted, and the scene adaptability is further improved, so that the actual application scene is met in the subsequent control adjustment of the gate opening degree; through three core technologies of double-channel processing, attention fusion and rolling optimization, the industrial problems of meteorological-hydrological response disjunction, insufficient long-time-domain prediction precision and the like in water conservancy control are solved, and reliable technical support is provided for intelligent water conservancy construction.

The invention relates to the technical field of drainage engineering, and particularly discloses a multi-well linkage drainage control system and method, and the system comprises a distributed monitoring unit, a core control unit, a linkage execution unit, and a 5G + LoRa dual-mode data interaction unit. The distributed monitoring unit collects water level, soil seepage, salinity and other multi-dimensional data, the core control unit achieves data preprocessing, water level evaluation, drainage priority calculation and dynamic power adjustment through a built-in multi-well linkage regulation and control algorithm, and the weight coefficient can be dynamically adjusted according to the soil salt content. Regional water level balance and salinity cooperative control are achieved through circulation monitoring, cooperative regulation and control, emergency drainage and a power compensation mechanism. The system solves the problems of lack of linkage, single monitoring and low control precision of a traditional system, is stable in communication, is energy-saving and efficient, and is suitable for agricultural, urban and industrial drainage scenes.

The invention provides a pump station gate cooperative control method and system, and relates to the technical field of pump station gate control. The method comprises the following steps: determining a macroscopic cooperative operation scheme of a pump station system, and decomposing the macroscopic cooperative operation scheme into initial control instruction sets for a plurality of local control units; receiving real-time state feedback information from the plurality of local control units; calculating deviation information according to the real-time state feedback information and the target state information; and calculating adjustment instruction information according to the deviation information in combination with the priority information of the ecological water replenishing task, and sending the adjustment instruction information to a corresponding local control unit. The method aims to solve the problem of control effect deviation caused by asynchronous distributed control, and by introducing a real-time feedback mechanism based on a local execution state and adjustment calculation of priority arbitration, the control performance of a distributed pump station system under a high-priority ecological water replenishing task is remarkably improved.

A ground embedded imaging device includes a barrel housing unit, an electronic element unit and an automatic draining unit. The barrel housing unit has a water collecting chamber, a translucent window portion at an upper end of the barrel housing unit, a water conducting hole to conduct water from outside to the water collecting chamber, and a water deflecting recess portion in spatial communication with the water conducting hole and disposed below the ground surface. The electronic element unit includes an imaging module oriented toward the window portion. The automatic draining unit includes a water expelling driver which is actuated to expel water from the water collecting chamber. Water is prevented from accumulating around the window portion so that the imaging module operates correctly.

The invention discloses a blood coagulation analyzer and an automatic flushing fluid preparation control system and method thereof, relates to the technical field of medical instruments, and solves the problems of liquid path pollution risk and low detection efficiency caused by manual barrel replacement in a traditional liquid supply mode. The system comprises a concentrated solution supply module, a pure water supply module, a liquid mixing and blending module, a flushing fluid supplementing module and a control module, an outlet of the concentrated solution supply module is connected with a first inlet of the liquid mixing and blending module, and an outlet of the pure water supply module is connected with a second inlet of the liquid mixing and blending module; an outlet of the liquid mixing and blending module is connected with an inlet of the flushing liquid supplementing module; an outlet of the flushing fluid supplementing module is used for being connected to an inlet of a fluid path system of the blood coagulation analyzer; the control module is electrically connected with the concentrated solution supply module, the pure water supply module, the liquid mixing and blending module and the flushing liquid supplementing module.

The invention discloses a self-adaptive fluid infusion regulation and control system and device for data center cooling, and relates to the technical field of liquid cooling fluid infusion. The self-adaptive liquid supplementing regulation and control system and device for cooling the data center comprise a liquid supplementing data acquisition and preprocessing unit, a liquid level credible sensing and checking unit, a self-adaptive liquid supplementing control decision-making unit and a liquid level fluctuation filtering and inhibiting unit, and the liquid supplementing data acquisition and preprocessing unit is used for acquiring liquid supplementing regulation and control sensing data; preprocessing the collected data; the liquid level credible sensing and checking unit is used for judging whether steam disturbance exists or not and selecting a single-sensor measurement strategy and a multi-sensor fusion strategy; the self-adaptive liquid supplementing control decision-making unit is used for evaluating a liquid level rising lag state and adjusting a liquid supplementing control mode; and the liquid level fluctuation filtering inhibition unit is used for evaluating the load intensity of the liquid supplementing control action and adjusting the liquid supplementing control frequency. The problem that liquid level monitoring errors are caused due to the fact that a radar and a photoelectric liquid level sensor are affected by steam disturbance is solved.

An interactive ecological water supplementing system for surface groundwater comprises a surface water collecting module used for collecting and storing water resources from a surface water source; the underground water extraction module is used for extracting underground water from the aquifer and is provided with an intelligent underground water level regulation and control unit, the dynamic change of the underground water level can be monitored in real time, and the extraction amount of the underground water is intelligently adjusted according to a preset underground water level threshold value and the ecological water supplementing requirement so as to keep sustainable utilization of the underground water; the water quality treatment module is used for carrying out purification treatment on the collected surface water and the extracted underground water so as to meet the water quality requirement of ecological water supplementation; the dynamic change of the underground water level is intelligently monitored, regulated and controlled through the underground water extraction module, the extraction amount of the underground water is intelligently adjusted according to the underground water level threshold value and the ecological water supplementing requirement, the stability of the underground water level is kept, and the underground water level decline and geological environment problems caused by excessive mining are avoided.

The invention relates to the field of sewage treatment, and provides an automatic start-stop regulation and control method for multiple sets of water treatment equipment, which comprises the following steps: calculating the number of fixed-frequency lifting pumps needing to be regulated in k cycles; calculating the frequency of the variable frequency lift pump in the k period by using a BP-pid algorithm, and calculating a weighting coefficient of the k + 1 period; according to the frequency of the variable-frequency lifting pump, the operation time of the variable-frequency lifting pump and the actual liquid level of the storage pond, the accurate number of the fixed-frequency lifting pumps needing to be adjusted in the k period is obtained through correction; and the number of the fixed-frequency lifting pumps needing to operate in the k period is determined. The problem that in the prior art, starting and stopping of the lifting pump are controlled through segmented liquid levels, so that acceleration equipment losses are caused is solved, and the intelligent control efficiency of the storage pond lifting pump system is remarkably improved.

The invention discloses a pressurized water reactor steam generator liquid level control method and system, and belongs to the technical field of nuclear power station control. The method comprises the steps that a liquid level set value and a measured value of the steam generator are obtained, and deviation is calculated; inputting the set value, the measured value, the deviation and the bias constant into a preset BP neural network; the network dynamically outputs three coefficients of proportion, integral and differential through forward propagation to serve as real-time parameters of a PID (Proportion Integration Differentiation) controller; the PID controller calculates and outputs a water supply flow demand value, and a water supply valve is adjusted after conversion; and calculating a root-mean-square error of liquid level control as a loss function, and updating the weight of the neural network on line by using the new liquid level deviation through a back propagation algorithm to realize adaptive optimization of PID parameters. According to the invention, the self-learning ability of the BP neural network is combined with the reliability of PID control, the control quality and stability of the liquid level of the steam generator under various power levels are significantly improved, the system can be deployed in a power plant DCS through modular packaging, and the engineering practicability is high.

Disclosed is a method for whole filling process supervision of smart gas and an IoT system, implemented by a gas company management platform of the IoT system, comprising: obtaining monitoring data of a gas filling container; obtaining usage information of the gas filling container; determining a usage index of the gas filling container, and sending the usage index to a gas user platform; determining a target gas user and sending container replacement information to the target gas user, and sending a parameter adjustment instruction to an electronic monitoring device of the gas filling container corresponding to the target gas user; determining whether the monitoring data and / or the usage information satisfy a preset data condition; and in response to determining that the monitoring data and / or the usage information satisfy the preset data condition, adjusting the target gas user, interacting with a public user platform, and displaying an adjusted target gas user.

The invention discloses an oil tank liquid level real-time monitoring method and system based on an intelligent sensor, and the method comprises the following steps: S1, collecting and preprocessing oil tank liquid level data, and constructing a liquid level time sequence; s2, extracting a time sequence fragment in a sliding manner, analyzing a trend, calculating a change rate and an amplitude, and generating a trend feature vector; s3, constructing a prediction model for reasoning, performing transformation, gating and mapping on a result, and generating a trend prediction and abnormal probability sequence; s4, fusing the sequence to calculate a mean value and a standard deviation, and constructing a threshold value based on Z-score to identify an abnormal time step; s5, calculating an error between a predicted value and a reference value, and dynamically adjusting PID parameters to generate a control instruction; and S6, comparing predicted data with real-time data before control, and updating model parameters according to deviation. According to the method, intelligent sensor collection, BEMD decomposition, deep learning trend prediction and a PID control feedback mechanism are fused, and the prediction precision and the regulation response capability of oil tank liquid level monitoring are improved.