1009 results about "Oxygen sensor" patented technology

The invention provides a multi-source data fusion modeling method and system in an aeration process, and is applied to the field of intelligent aeration control in sewage treatment. The method comprises the steps that multi-source time sequence data such as dissolved oxygen, turbidity, flow, temperature, power and pool bottom pressure pulsation signals are collected, dissolved oxygen response lag is calculated through cross-correlation analysis with power change as the reference, time sequence alignment is carried out, and a dissolved oxygen reference interval is predicted by utilizing calibration data in combination with a physical constraint LSTM model; performing spectral analysis on the pressure pulsation signal to extract a gas-liquid coupling characteristic value, and generating a cooperative regulation instruction of the frequency of the blower and the rotating speed of the stirrer based on the information; by means of the scheme, control oscillation caused by lag of the dissolved oxygen sensor can be effectively overcome, online monitoring of bubble form distribution is achieved, the gas-liquid mass transfer efficiency is improved, invalid aeration is avoided, and system energy consumption is remarkably reduced on the premise that stable effluent quality is guaranteed.

The invention provides a sewage AI intelligent management and control system based on a neural network algorithm, which comprises multi-source data acquisition units, an algorithm processing unit and an execution feedback unit, and is characterized in that the multi-source data acquisition units are deployed at a water inlet and a water outlet of a sewage treatment assembly line and in a biological reaction tank; comprising a fast parameter detection array composed of a pH sensor, a conductivity sensor, a dissolved oxygen sensor, a turbidity sensor, a temperature sensor and an ORP sensor. The process state monitoring group consists of an aeration equipment rotating speed sensor, a reflux pump flowmeter and a sludge concentration meter; the fast parameter detection array and the process state detection group are connected with the edge computing node through an industrial bus, perform sliding window mean filtering preprocessing on original data, generate regulation and control instructions of aeration rate, reflux ratio and sludge discharge frequency through model calculation, and send the regulation and control instructions to the execution unit; the complete refined AI intelligent control sewage treatment system based on the neural network algorithm is realized.

The invention relates to the technical field of medical monitoring, and discloses a portable blood oxygen signal OSA intelligent detection method which comprises the following steps: acquiring a pulse wave signal through a blood oxygen sensor, generating an amplitude difference sequence and a period difference sequence in parallel, analyzing rhythm synchronism of the amplitude difference sequence and the period difference sequence, and judging a respiratory effort event when a real-time relation index deviates from a reference value. By capturing a pulse wave time sequence-amplitude decoupling phenomenon, direct perception of a specific mode process of an invalid respiratory effort signal is realized, a traditional hysteretic monitoring mode depending on blood oxygen decline is avoided, and meanwhile, the system has the internal capability of distinguishing physiological fluctuation and specific mode struggling of the signal, and is convenient to use. And a brand new solution is provided for early screening of light and moderate OSA.

The invention provides a method for solving signal drift of an oxygen sensor in a high-temperature and high-pressure environment, which comprises the following steps: collecting acid-base gas concentration data and zirconium oxide material surface state information in the high-temperature and high-pressure environment, and classifying erosion sensitivity degrees by adopting a support vector machine algorithm to obtain an initial response characteristic deviation value; a neural network model is adopted to process the determined potential signal drift trend and oxygen content detection historical data, a simulation response characteristic curve is generated, and a quantitative mapping relation of the pH value change to erosion sensitivity is obtained; refining the correlation between the determined long-term monitoring reliability index and the pH value change by adopting a neural network model, generating a dynamic response characteristic prediction sequence, and obtaining a signal drift suppression threshold set; and through fusion of the obtained signal drift suppression threshold set and the oxygen content detection real-time signal, if it is judged that erosion sensitivity is aggravated in a prediction sequence, a compensation model is activated to update and circulate, and optimized sensor stable output is obtained.

The invention relates to the field of dies, in particular to a front oxygen sensor support stamping die structure which comprises a fixed die and a movable die, and a punching mechanism, a bending mechanism, a rim charge cutting mechanism and a discharging mechanism are sequentially arranged between the fixed die and the movable die in the conveying direction of a material belt. The punching mechanism is used for punching various holes in different shapes and positions in a material belt, the rim charge cutting mechanism is used for accurately cutting off rim charges, the bending mechanism is used for gradually bending the material belt of a plane structure into the shape of a product, and the discharging mechanism is used for conveying the machined product out of a die. The wear rate of the contact surface of the mold is reduced.

The invention relates to the technical field of image processing, in particular to an image data processing method and system for digital management of environmental protection equipment, and the method comprises the steps: collecting a real-time image of an aeration area through a waterproof camera disposed above an aeration tank, detecting the definition of the camera regularly, and carrying out the cleaning when the definition is lower than a preset value; a self-adaptive Retinex algorithm is adopted for the real-time image of the aeration area to eliminate water surface reflection interference, noise caused by water turbidity is reduced through a multi-frame weighted average method, and a processed image is obtained; segmenting a bubble region in the image based on a U-Net network and calculating a bubble distribution parameter; comparing the bubble distribution parameter with a bubble distribution threshold value, and generating an aeration rate optimization instruction according to average dissolved oxygen data obtained by a dissolved oxygen sensor; and controlling the air blower based on the aeration rate optimization instruction. The power of the air blower can be better adjusted according to the bubble condition of the aeration tank, so that more energy is saved.

A method of using a fire suppression system includes maintaining an inert atmosphere in a chamber; enclosing a pyrophoric workpiece in the chamber; sensing a chamber temperature within the chamber with a temperature sensor; sensing a chamber oxygen concentration within the chamber with an oxygen sensor; comparing the chamber temperature to a predetermined temperature and comparing the chamber oxygen concentration to a predetermined oxygen concentration; dispensing an antipyrophoric material onto the workpiece within the chamber if the chamber temperature meets or exceeds the predetermined temperature or if the chamber oxygen concentration meets or exceeds the predetermined oxygen concentration.

The invention discloses a river health evaluation method suitable for northern water-deficient cities, and relates to the technical field of environmental science and engineering.The system comprises the following steps that the pH value, the dissolved oxygen concentration and the total electrolyte amount are monitored through a pH sensor, a dissolved oxygen sensor and a conductivity sensor, the river water surface, the river channel and the surrounding environment are monitored through a GIS, and the river health evaluation result is obtained. Comprising a land utilization type, a vegetation coverage rate and a river bank erosion condition, collecting environmental problems uploaded by the public through a mobile phone APP, and investigating the satisfaction degree of the public to the environment; a river health evaluation system is constructed, the trend of river health is predicted, and potential factors affecting river health are identified; and according to a prediction result, configuring a decision support system to assist in making a management strategy, and regularly reviewing and evaluating system effectiveness. The river health evaluation method and management system are continuously optimized by dynamically adjusting river management and protection work according to a dynamic adjustment result, and the river ecological system of northern water-deficient cities is effectively protected for a long time.

The embodiment of the invention provides a continuous blood oxygen monitoring system in extracorporeal circulation and a control method thereof. The continuous blood oxygen monitoring system comprises a vein sensor, an artery sensor, a blood flow sensor, an oxygen sensor, a carbon dioxide sensor, a controller and a display, the vein sensor monitors the vein blood oxygen saturation degree; the artery sensor monitors arterial oxygen saturation and hematocrit; the blood flow sensor monitors the blood flow of the artery pipeline; the oxygen sensor monitors the oxygen concentration of the oxygenator; the carbon dioxide sensor monitors the carbon dioxide concentration of the oxygenator; the display provides an interaction control, responds to a trigger operation acting on the interaction control, sends an interaction instruction to the controller, and updates information displayed in an interaction interface according to the control of the controller; the controller receives the interaction instruction and executes processing corresponding to the interaction instruction; the processing includes controlling display information of the display; the display information comprises information corresponding to the monitoring parameters. The scheme ensures the safety and effectiveness of the treatment process.

The invention discloses a local space oxygen enrichment control system and method based on an oxygen selective permeable membrane, belongs to the technical field of air purification, environment control and membrane separation, and aims to solve the problems that the indoor oxygen concentration cannot be actively and efficiently increased and compact integration is difficult in the prior art. The system integrates an outdoor fresh air fan, a switching valve, an oxygen enrichment membrane device, an air pump, an indoor air return and supply fan, a gas monitoring control unit, an outdoor exhaust fan and the like, and a control unit dynamically regulates and controls a switching valve passage, the rotating speed of each fan and start and stop of the air pump according to the difference between oxygen sensor data and preset target oxygen concentration; air selectively passes through the oxygen-enriched membrane device to generate oxygen-enriched air or is fed into a room through a bypass air path, and the indoor oxygen concentration is actively stabilized at 21%-26%. The system is suitable for local spaces such as residences and offices, active oxygen enrichment and environment control can be achieved, the air quality is improved, and meanwhile low energy consumption, safety and comfort are taken into account.

A system may include a flow valve coupled to a gas inlet of a landfill gas system and a pump coupled to the flow valve and configured to draw gas from the landfill gas system via the gas inlet. The system may further include an oxygen sensor comprising at least one laser configured to detect oxygen concentration in the gas, a carbon dioxide sensor comprising at least one infrared light source configured to detect carbon dioxide concentration in the gas, and / or one or more chemical sensors configured to sense concentrations of a respective one or more chemicals in the gas. A microprocessor may determine sensed data including at least the oxygen concentration, the carbon dioxide concentration, concentrations of the one or more chemicals, the static pressure, the atmospheric pressure, and / or a differential pressure, and communicate the sensed data to a mobile control device.

A DBO-STN-Informer-based aquaculture water dissolved oxygen prediction method comprises the following steps: S1, adopting a dissolved oxygen sensor to collect dissolved oxygen data in aquaculture water online in real time, and dividing the data into a training set and a verification set according to a time sequence after preprocessing; s2, introducing a spatial transformation network STN on the basis of an Informer encoding mode to transform an input time sequence, constructing an STN-Informer prediction model, and performing spatial transformation and feature calibration on input time sequence data through the STN to help an encoder to understand a deep dissolved oxygen sequence; an attention mechanism parameter in the STN-Informer prediction model is optimized by adopting a dung beetle algorithm DBO; and finally, performing test scoring and optimization on the model by using the verification set. And S3, based on the trained and optimized model, outputting a dissolved oxygen concentration prediction value in a future time period. According to the method, the dissolved oxygen concentration in the future time period can be predicted according to the prior data, and the method has very high prediction accuracy, precision and efficiency.

The invention relates to the technical field of industrial wastewater treatment, and discloses a modular industrial wastewater intelligent purification treatment system which comprises a sensor monitoring module, an intelligent analysis module, a modular treatment module, an automatic control module and a resource recovery module, the sensor detection module comprises a PH sensor, a turbidity sensor, a dissolved oxygen sensor, a heavy metal sensor and an ammonia nitrogen sensor, the intelligent analysis module comprises a pollutant identification module and a dynamic adjustment process module, and the modular treatment module comprises a physical treatment module, a chemical treatment module and a biological treatment module. The modularized intelligent purification treatment system for industrial wastewater can be rapidly and accurately adjusted according to real-time changes of sewage components, compared with a traditional immobilization process, waste of resources is avoided, the treatment efficiency is remarkably improved, meanwhile, multiple treatment technologies such as physical treatment, chemical treatment, biological treatment, adsorption and disinfection are integrated, and the system is suitable for popularization and application. And the device has strong treatment capacity on combined pollution and emerging pollutants.

The invention discloses an auxiliary device for hydrogen production by water electrolysis, which relates to the technical field of hydrogen production by water electrolysis and is characterized by comprising a base frame, a water inlet pretreatment unit, an electrolysis unit, a gas-liquid separation and gas monitoring module and an intelligent operation regulation and control unit. The inlet water pretreatment unit is used for deeply purifying a water source through a multi-stage filtering device to produce deionized water meeting the electrolysis requirement; the electrolysis unit electrolyzes the purified water into a gas-liquid mixture of hydrogen, oxygen and water vapor; the gas-liquid separation and gas monitoring module adopts a vertical separation structure and a secondary separation system, and is combined with a hydrogen side oxygen sensor and an oxygen side hydrogen sensor to realize efficient gas-liquid separation and real-time gas purity monitoring; the intelligent operation regulation and control unit dynamically regulates electrolysis parameters and gas pipeline states based on monitoring data, and automatic closed-loop control is achieved. The device has the advantages of thorough water purification, high gas purity, safe and reliable operation, intelligent control and the like.

The invention relates to the technical field of 3d printing, and discloses an atmosphere environment control system and method and a printer, the atmosphere environment control system comprises a cabin body, a filtering device and a gas driving device, the cabin body is provided with a cabin cavity, at least one exhaust port is formed in the top of the cabin body, and an exhaust valve is installed at the exhaust port; the cabin body is provided with a first oxygen sensor and an air supply channel which are communicated with the cabin cavity, the cabin body is provided with an air outlet and an air return port, the air inlet end of the filtering device is connected with the air outlet, the air inlet end of the air driving device is connected with the air outlet end of the filtering device, and the air outlet end of the air driving device is connected with the air return port. The exhaust valve arranged at the top of the cabin body and the first oxygen sensor are linked in real time to monitor the oxygen content, inert gas with the density larger than that of oxygen is accurately supplemented through the gas supplementing channel, and the density difference of the inert gas is used for promoting oxygen to be enriched at the top of the cabin cavity and discharged through the exhaust valve in a directional mode; and the problem of oxygen permeation of the cabin body caused by aging of a sealing material is effectively solved.

Engine control unit for controlling an internal combustion engine to regenerate a particulate filter arranged in an exhaust system, the engine control unit comprising: at least one processor configured to receive a first signal from a first oxygen sensor for determining an oxygen content of an exhaust gas in the exhaust system downstream of the particulate filter and to receive a second signal from a second oxygen sensor arranged in the exhaust system upstream of the particulate filter, wherein the at least one processor is configured to compare the first and second signals to detect an increase or a decrease in the oxygen content of the exhaust gas in the exhaust system downstream of the particulate filter; and a memory device having instructions stored therein, coupled to the at least one processor; wherein the at least one processor is configured to control the lambda of the internal combustion engine in dependence on the first signal and the second signal; wherein the at least one processor is configured to decrease lambda when the comparison of the first and second signals indicates an increase in the oxygen content of the exhaust gas in the exhaust system downstream of the particulate filter.

The present invention relates to the technical field of multi-fuel generator sets, relates to a safety control system and control method for a multi-fuel electronic injection generator set, and solves the problems that the consistency between selected fuels and actually supplied fuels cannot be determined and efficient exhaust treatment cannot be guaranteed. The safety control system for a multi-fuel electronic injection generator set comprises an ECU, and a fuel oil electronic injection system and a fuel gas electronic injection system which are electrically connected to the ECU; an electronic fuel selection switch is arranged between the fuel oil electronic injection system and the fuel gas electronic injection system and the ECU; the electronic fuel selection switch is used for selecting, by means of an electronic button, the type of a fuel to be supplied and determining the consistency between the type of the selected fuel and the type of the actually supplied fuel; an exhaust emission control mechanism is arranged between the ECU and an engine; the exhaust emission control mechanism comprises a first oxygen sensor and a catalytic converter; the ECU comprises a correction unit used for improving the catalytic efficiency of the catalytic converter and having a temperature control protection function. The effects of effectively determining the consistency between selected fuels and supplied fuels and realizing high exhaust emission quality are achieved.

The invention discloses an oxygen sensor error compensation method and system based on physical information constraint. The method comprises the steps that the output voltage U of a TDLAS oxygen sensor and the temperature T and pressure P of the environment where the TDLAS oxygen sensor is located are obtained; a pre-trained oxygen sensor error compensation network model constrained by physical information based on three monotonic relations of temperature T, pressure P, output voltage U and oxygen concentration C is input to obtain the oxygen concentration C after error compensation, and the oxygen sensor error compensation network model is pre-trained to learn the input temperature T, pressure P and output voltage U; and the mapping relation between the output oxygen concentration C after error compensation. The invention aims to realize nonlinear error compensation with good generalization ability and robustness for the TDLAS oxygen sensor so as to overcome the influence of temperature drift, aging effect and the like of the TDLAS oxygen sensor and improve the measurement accuracy of the TDLAS oxygen sensor in a complex environment.

A fresh food preservation equipment is provided, includes a preservation box formed with a cavity therein, an atomization device configured for outputting water mist to the plasma activated droplet generating device, a plasma activated droplet generating device configured for ionizing the water mist output from the atomization device and feeding a resultant activated mist into the cavity, a refrigeration device configured for reducing temperature inside the cavity, a sensing system includes an oxygen sensor, a humidity sensor, and a temperature sensor for monitoring oxygen concentration, temperature and humidity in the cavity, respectively, and a control unit. Compared with the prior art, the fresh food preservation equipment in the present disclosure achieves the effects of keeping moisture and reducing the respiration intensity of fruits and vegetables while keeping fresh, and the quality of fresh food is effectively ensured, so that the shelf life is prolonged.

The invention provides a vehicle control method and system, a vehicle and a storage medium, and the method comprises the steps that when the temperature of a downstream switch oxygen sensor is smaller than the dew point temperature, an engine control unit determines the target maximum allowable rotating speed and the target maximum allowable torque of an engine according to the water temperature of the engine, a working condition coordination request is sent to the hybrid power control unit; and the hybrid power control unit controls the engine and the motor to enter a series connection mode according to the working condition coordination request, and controls the maximum allowable rotating speed of the engine to be smaller than or equal to the target maximum allowable rotating speed and the maximum allowable torque of the engine to be smaller than or equal to the target maximum allowable torque. Therefore, the actual rotating speed of the engine does not exceed the target maximum allowable rotating speed, and the actual torque of the engine does not exceed the target maximum allowable torque. The temperature of the engine in the combustion process can be reduced, generation of harmful substances in originally discharged waste gas is reduced, and therefore the emission performance of the vehicle is improved to a certain degree.

The invention belongs to the technical field of granary access control, and particularly relates to an intelligent granary access control system which comprises an environment sensing module, an identity recognition module, a processing control module and an execution and feedback module. The environment sensing module is used for collecting environment parameter data at the entrance of the granary in real time and comprises a phosphine sensor, an oxygen sensor and a carbon dioxide sensor; according to the invention, by fusing the technical characteristics of the hydrogen phosphide sensor, the oxygen sensor and the carbon dioxide sensor, the environmental safety is comprehensively evaluated, and compared with the dependence of a single sensor, the accuracy and reliability of environmental state judgment are remarkably improved, and the occurrence of false alarms and missing alarms is effectively prevented. Due to the fact that a control logic process of'absolute priority of environmental safety 'is adopted, the technical characteristic ensures that personnel safety is put at the first place under any condition, which is a core guarantee of high safety of the system, and the effect of the system is directly reflected as protection of life safety.

A device and a method for predicting exhaust emissions of a gasoline engine (10) with an exhaust gas aftertreatment system (22) are proposed, which has a first lambda probe arranged downstream of combustion chambers (15) of the gasoline engine (10) and upstream of a first three-way catalyst (26) arranged closest to the combustion chambers (15) of the gasoline engine (10), and which has a second lambda probe arranged downstream of the first three-way catalyst (26), downstream or upstream of a first gasoline particulate filter (30) and upstream of a second three-way catalyst (32), and which has an engine control unit (36) in which an emissions model (42) is integrated, which has a combustion raw emissions model (44) via which raw emissions are calculated from the operating data of the gasoline engine (10), and has an exhaust gas aftertreatment model (46),via which the emissions at the outlet of the exhaust aftertreatment system (22) are calculated from the raw emission data. A first combustion air ratio in the exhaust stream is measured by means of the first lambda probe (24) to determine a first injected fuel mass, and an injected fuel mass is calculated as a function of the measured values of the first lambda probe (24), which serves as the input value of the emissions model (42). From this, the exhaust emissions at the outlet of the exhaust aftertreatment system (22) are subsequently calculated.

The invention discloses a self-correction method for carbon deposition of a nitrogen-oxygen sensor, relates to the technical field of motor vehicle exhaust emission monitoring, and solves the problems that an existing solution for carbon deposition of the nitrogen-oxygen sensor causes irreversible damage to the nitrogen-oxygen sensor and the compensation error limitation is small. The method comprises the following steps: acquiring driving parameters and real-time NOx concentration of a vehicle, inputting the driving parameters into a constructed driving parameter-NOx concentration related neural network model to obtain predicted NOx concentration, obtaining a difference between the real-time NOx concentration and the predicted NOx concentration to obtain a NOx concentration deviation value, and calculating the NOx concentration deviation value according to the calculated NOx concentration deviation value. And a NOx concentration correction strategy is triggered according to the NOx concentration deviation value to obtain a NOx concentration correction value, and when preset engine parameter conditions are met, the fuel injection quantity is controlled according to the NOx concentration correction value. The phenomenon of insufficient combustion of the engine is reduced, the carbon deposition generation rate is reduced, and the requirement for frequent disassembly and cleaning of the sensor due to carbon deposition failure is avoided.

The invention relates to a method for determining the hydrogen content in an exhaust tract (130) of a hydrogen internal combustion engine (100) and to a hydrogen internal combustion engine (100) that has combustion chambers (110) and an oxygen sensor (140), which is provided in the exhaust tract (130) of the hydrogen internal combustion engine (100) and is designed to generate an oxygen signal that is representative of the oxygen content in the exhaust gas of the hydrogen internal combustion engine (100). The method according to the invention has the steps of determining a specified operating mode of the hydrogen internal combustion engine (100) during which substantially no combustion processes of an air-hydrogen mixture take place within the combustion chambers (110); receiving an oxygen signal from the oxygen sensor (140) in the specified operating mode of the internal combustion engine (100); and determining the hydrogen content in the exhaust gas of the hydrogen internal combustion engine (100) at least partly on the basis of the oxygen signal received from the oxygen sensor (140).

The invention relates to the field of electrochemical signal processing, and particularly discloses a wearable detection circuit for an electrochemical oxygen sensor, comprising: a transimpedance amplification module comprising an analog switch S1 and at least two feedback resistors with different resistance values, the feedback resistors being connected in parallel, the analog switch S1 being connected in series with the feedback resistors, the control circuit is used for controlling a feedback resistor connected to the circuit and outputting a first voltage signal; the active low-pass filtering module is used for filtering the first voltage signal and filtering thermal noise, power frequency interference and motion artifact noise to obtain a second voltage signal; the temperature calibration module is used for collecting temperature information; the microcontroller is used for providing driving voltage for the transimpedance amplification module and the active low-pass filtering module and receiving the temperature information and the second voltage signal; the microcontroller is used for receiving the second voltage signal and comparing the second voltage signal with a preset value. The technical scheme of the invention is high in precision and low in power consumption, and can reduce environmental interference.

The invention relates to the technical field of engines, and provides a liquid ammonia engine mechanism and a control method and system. The liquid ammonia engine structure comprises a liquid ammonia supply structure which is communicated with the inlet end of a high-pressure ammonia rail through a pipeline; the high-pressure ammonia rail is connected with the cooling structure, and liquid ammonia in the high-pressure ammonia rail exchanges heat with cooling liquid of the cooling structure for cooling; a liquid ammonia temperature sensor is also arranged on the high-pressure ammonia rail; the outlet end of the high-pressure ammonia rail is communicated with the high-pressure liquid ammonia nozzle through a pipeline; the high-pressure liquid ammonia nozzle atomizes high-pressure liquid ammonia into tiny liquid drops and then sprays the tiny liquid drops into the combustion chamber; a cylinder pressure sensor is arranged at the top of the combustion chamber; an oxygen sensor is arranged on the exhaust pipeline; the system further comprises an ECU module. The ECU module carries out dynamic decision making through a preset sub-working-condition control strategy on the basis of the operation working condition of an engine and obtained monitoring data. The problem that the actual injection amount is reduced due to the liquid-gas entrainment phenomenon in the liquid ammonia conveying process is solved.

The invention relates to the technical field of ocean observation, in particular to a hydrate reservoir information in-situ monitoring device. Comprising a monitoring box body; a metal grating plate is arranged at the bottom of the monitoring box body, and hydrate reservoir sediments can enter the monitoring box body through grating holes in the metal grating plate; a dissolved oxygen sensor, a pH sensor, a Raman probe rod and a resistivity probe rod are sequentially arranged in the monitoring box body from top to bottom, and a water tank camera is arranged on the side wall of the monitoring box body; a plurality of annular electrodes are arranged on the resistivity feeler lever in the circumferential direction of the feeler lever at intervals, and each annular electrode is connected with an annular electrode distance adjusting mechanism and an annular electrode aperture adjusting mechanism. And in-situ monitoring of the hydrate reservoir can be realized.

The utility model discloses a water environment safety monitoring buoy, which relates to the technical field of water floating equipment and comprises a buoy box, a storage battery is fixedly mounted in the buoy box, a battery sensor is fixedly mounted on one side of the storage battery, and a solar panel is fixedly mounted in the buoy box. The buoy box is connected with a micro vertical axis wind driven generator through a clamping mechanism; the outer side of the buoy box is connected with a protection plate through a buffer assembly, the buoy box is provided with a dissolved oxygen sensor, a pH value sensor, a turbidity sensor, a conductivity sensor and a water temperature sensor, and the lower end of the buoy box is connected with a sinking anchor through a winding mechanism; the miniature vertical-axis wind driven generator can stably convert wind energy into electric energy, the electric energy and the solar panel are coordinated and complemented to continuously store power for the energy storage device, and a hybrid power supply system formed by the miniature vertical-axis wind driven generator and the solar panel can stably and efficiently provide reliable power support for the water environment safety monitoring buoy.

The invention relates to the technical field of rubber materials, and discloses fluororubber for a high-temperature oxygen sensor and a processing technology of the fluororubber. The processing technology comprises the following steps: S1, preparing fluorinated modified methyl vinyl silicone rubber from methyl vinyl silicone rubber and 1H, 1H, 2H, 2H-perfluorodecanethiol; s2, preparing glycerol modified silicone rubber from methyl vinyl silicone rubber and 1-thioglycerol; taking glycerol modified silicone rubber, adding into a mixed solvent of tetrahydrofuran and water, uniformly stirring, adding urea, heating, dropwise adding phosphoric acid, carrying out heat preservation reaction, removing the solvent, and drying to obtain phosphate modified methyl vinyl silicone rubber; and S3, adding the broken fluororubber, the fluorinated modified methyl vinyl silicone rubber and the phosphate modified methyl vinyl silicone rubber into an open mill, uniformly mixing, adding the composite filler and magnesium oxide, mixing, adding the vulcanizing agent and the assistant crosslinking agent, uniformly mixing, and vulcanizing to obtain the fluororubber for the high-temperature oxygen sensor.

The application relates to a lead-free oxygen sensor, comprising: a housing; the electrode assembly comprises a working electrode, a reference electrode and a counter electrode which are arranged in sequence; the air inlet channel is used for providing a channel for external oxygen to enter the accommodating cavity to be in contact with the working electrode; the first gas outlet channel is used for providing a channel for transmitting oxygen generated by the electrode to the outside; the second gas outlet channel is used for providing a channel for transmitting oxygen generated by the electrode to the outside; wherein the first air outlet channel is provided with a first oxygen permeation membrane, and the second air outlet channel is provided with a second oxygen permeation membrane; the air permeability of the first oxygen permeable membrane is greater than that of the second oxygen permeable membrane. The internal oxygen concentration is maintained by controlling the oxygen outlet speed of the first gas outlet channel and the second gas outlet channel, so that the internal gas pressure balance is ensured while the side reaction is inhibited and the current is balanced, and the oxygen generated by the counter electrode does not permeate into the working electrode to influence the test; therefore, a larger linear test range can be realized in an actual test.