1281 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 field of swimming physical training analysis, and particularly discloses a swimming underwater physical training effect analysis system based on training data, which is characterized in that video data, motion data and physiological data of a swimmer are acquired by integrating an underwater camera, an inertial measurement unit, a myoelectricity sensor, a heart rate sensor and a blood oxygen sensor; space-time synchronous analysis of multi-modal data is realized; on the basis of joint angle change consistency and muscle activation synchronism, whether the action of the swimmer is standard or not is judged, AR real-time feedback is conducted, and real-time correction of the swimmer in training is facilitated; the training load of the swimmer is evaluated based on the underwater speed, the stroke, the stroke frequency, the swimming distance and the swimming duration, and overrun early warning is carried out, so that making of a personalized training plan is facilitated, and meanwhile, overtraining is avoided; by monitoring the heart rate, the oxyhemoglobin saturation, the muscle activation duration and the joint activity condition of the swimmer, whether the swimmer has the injury risk or not is judged, early warning is triggered, and the injury occurrence rate is reduced.

The invention discloses an optical dissolved oxygen sensor calibration method based on nonlinear temperature compensation, and belongs to the field of sensor calibration, and the method comprises the following steps: S1, building a calibration platform; s2, data acquisition: under a plurality of temperature gradients, generating a dissolved oxygen saturated water sample through nitrogen-oxygen mixed gas, and synchronously acquiring fluorescence lifetime and influence factors; s3, establishing a nonlinear compensation model of the fluorescence lifetime and the temperature, and optimizing model parameters through a Levenberg-Marquardt algorithm; s4, dynamically allocating a weight coefficient; and S5, predicting the drift distance of the optical dissolved oxygen sensor to be calibrated, and realizing closed-loop self-maintenance calibration. By adopting the optical dissolved oxygen sensor calibration method based on nonlinear temperature compensation, not only is the influence of temperature on the optical dissolved oxygen sensor considered, but also multiple environmental factors such as salinity and pressure are incorporated, and the calibration accuracy and comprehensiveness are improved through multi-parameter collaborative correction.

The invention relates to the technical field of operation and maintenance management, in particular to a medical equipment operation and maintenance management system based on information mining analysis. According to the method, accurate screening of data abnormal features is introduced, so that the evaluation of the equipment operation state is more refined. According to the method, abnormal data can be effectively identified based on the mean offset of the data measured by the blood oxygen sensor, and the accuracy of equipment state evaluation is ensured in combination with the distribution trend of measurement errors. The influence of environmental factors on the equipment performance is deeply excavated, the dynamic change trend of the equipment performance under different environmental conditions can be identified by utilizing the correlation calculation of the environmental temperature change and the power consumption offset, and the sensitivity to the influence of external factors is improved. The evaluation mode of the operation state is more comprehensive, the subtle change trend of the equipment operation state can be accurately described through the collaborative analysis of the measured frequency fluctuation amplitude and the signal response time, and the accuracy of fault prediction is improved.

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.

The invention discloses an anaerobic microorganism fermentation device, and relates to the technical field of anaerobic microorganism fermentation, the anaerobic microorganism fermentation device comprises a fermentation assembly, the outer surface of the fermentation assembly is provided with a detection assembly; when the air purifier is used, aerobic gas is discharged through the gas outlet pipe and the diffusion pipe, the oxygen content is detected by the oxygen sensor, and when it is detected that the discharged aerobic gas is discharged, the gas enters the air purifier through the connecting pipe and the fixing pipe under the action of the flow guide plate to be subjected to air purification treatment. When oxygen-free gas is detected, the PLC can control the gas injection valve to be closed, a first electric one-way valve and a forward and reverse motor are started, the forward and reverse motor drives a rotating rod, a sealing plate and a sealing ring to rotate anticlockwise, a connecting pipe is blocked, and a flow guide plate guides the oxygen-free gas into a recycling pipe. The oxygen-free gas enters the fermentation tank again through the conveying pipe, the annular pipe, the gas inlet pipe and the gas injection pipe, waste of the oxygen-free gas is reduced, and the use efficiency is improved.

The invention relates to the technical field of engines, and provides a three-way catalyst fault diagnosis method and device and electronic equipment. Comprising the steps of entering a fault diagnosis mode under the condition that a fault diagnosis condition is met; the air-fuel ratio is adjusted, and signal changes of the front oxygen sensor and the rear oxygen sensor are monitored; based on the signal change, acquiring an oxygen storage amount measurement parameter; calculating a three-way catalyst performance monitoring index based on the oxygen storage amount measurement parameter; and if the three-way catalyst performance monitoring index is not lower than the preset diagnosis threshold value, it is determined that the three-way catalyst is normal. Fault diagnosis can be carried out on the three-way catalytic converter, so that whether the purification performance of the three-way catalytic converter meets the requirement or not can be judged, and emission performance control of an engine is facilitated.

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 invention discloses an explosive granulation system based on nitrogen circulation, the explosive granulation system comprises an enclosed hood, a granulation main machine, a material receiving device and a conveying device, the output end of the granulation main machine, the material receiving device and the conveying device are all located in the enclosed hood, and an oxygen sensor is arranged in the enclosed hood; an air inlet and an air outlet are formed in the closed cover, the air outlet is sequentially communicated with the first wind power supply device, the condenser, the first heater, the second wind power supply device and the air inlet, an outlet of the nitrogen cylinder is further communicated between the condenser and the first heater, and the air inlet and the air outlet are provided with a first temperature sensor and a second temperature sensor respectively. According to the invention, the nitrogen in the nitrogen cylinder can be heated by the first heater and then supplied into the enclosed hood by the second wind power supply device, so that ethyl acetate in the enclosed hood is absorbed and supplied to the condenser by the first wind power supply device, and the ethyl acetate carried by the nitrogen is condensed and recovered; further, ethyl acetate is removed in the press-fitting explosive granulation process.

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 an oxygen sensor chip assembling module and oxygen sensor assembling equipment. The oxygen sensor chip assembling module comprises a conveying module and an oxygen sensor chip feeding module; the conveying module comprises a plurality of jigs moving in the conveying direction, and the jigs are suitable for bearing oxygen sensor bases; the oxygen sensor chip feeding module comprises a guide mechanism, the guide mechanism is matched with one of the jigs, the guide mechanism comprises a guide support and a positioning clamping jaw which is connected to the guide support and can be opened and closed, the guide support is provided with a guide hole, and an oxygen sensor chip can penetrate through the guide hole; the positioning clamping jaw is suitable for clamping and positioning an oxygen sensor base; a guide hole, a positioning clamping jaw and a jig are sequentially arranged in the vertical direction. The guide mechanism is arranged, and the positioning clamping jaw of the guide mechanism is matched with the guide hole, so that the relative positions of the oxygen sensor chip and the oxygen sensor base are fixed, and the assembly precision of the oxygen sensor chip and the oxygen sensor base is ensured.

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.

The invention relates to the technical field of online water quality intelligent monitoring scheme design, in particular to an online water quality intelligent monitoring method and system and electronic equipment. The method comprises the following steps: acquiring GPS data, water temperature data, PH data, dissolved oxygen content data and conductivity data of a target point location of a target water area within a preset duration according to a preset time interval through a GPS sensor, a water temperature sensor, a PH sensor, a dissolved oxygen sensor and a conductivity sensor which are arranged at the target point location of the target water area, and acquiring timestamp data; the online water quality intelligent monitoring model is trained, whether the water quality data of the target water area is abnormal or not is judged, overall online evaluation and judgment on the overall water quality data of the target water area are achieved, whether the overall water quality data of the target water area is abnormal or not is accurately judged, and the safety, reliability and intelligent degree of water quality detection are improved to a great extent. The intelligent degree and usability of the system are improved to a great extent, and the application scenarios of the system are greatly expanded.

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 utility model discloses a quick plug-pull type grain condition detector for a grain storage bin, which comprises sensors, a transmission cable and a hollow detection vertical rod, the transmission cable and the sensors are arranged in the detection vertical rod, the plurality of groups of sensors are connected and arranged on the transmission cable at intervals along the axial direction of the transmission cable, and the detection vertical rod is arranged on the transmission cable. Each group of sensors at least comprises one of a temperature sensing device, a humidity sensing device and a gas sensing device, and sensing signal output ends of the sensors are connected with sensing signal conductive wire cores in the transmission cable; the gas sensing device adopts one or more of a carbon dioxide sensor, an oxygen sensor, a phosphine gas sensor and a hydrogen fluoride gas sensor, an outer vent hole is formed in the rod wall of the detection vertical rod, an opening for a transmission cable to penetrate through is formed in the upper end of the detection vertical rod, and the lower end of the detection vertical rod is closed. According to the utility model, rapid insertion and extraction of the grain condition detector and temperature and humidity detection of grain piles at different depths are realized, and the detection efficiency of the grain storage bin is improved.

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 an aging correction method for a nitrogen-oxygen sensor, which comprises the following steps of: measuring and calculating an aging correction coefficient, archiving the aging correction coefficient into an aging correction module, and extracting data in real time by using the aging correction module, so that the output value of the nitrogen-oxygen sensor is corrected, and after a probe is aged, the output value of the nitrogen-oxygen sensor is corrected. A relatively accurate numerical value can still be output, namely, aging of a probe is offset by using a correction part, an aging correction coefficient can be obtained by looking up a table in combination with accumulated working time, accumulated driving mileage and daily driving working conditions after the nitrogen-oxygen sensor is loaded and parameters such as NOx and O2 concentrations measured for a long time, and the value is multiplied by an output coefficient, so that the aging correction coefficient is obtained. And the output precision can be improved.

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 AI-based sewage treatment visual early warning system and method, and belongs to the technical field of sewage treatment. In the system, an information collection device comprises an intelligent camera, a fluorescence method dissolved oxygen sensor, a temperature sensor, a radar liquid level meter, a water quality information collector, a pump vibration monitor and a parameter collector, and parameter information in a sewage treatment field is collected in real time; the signal transmission device transmits the acquired data to a rear-end processing and analyzing system; the data processing and analyzing system is used for processing and analyzing the collected data to find out abnormal points and potential problems in the data, and sending a processing and analyzing result and early warning information to the client; and the client receives and displays the processing analysis result and the early warning information. According to the invention, each link of sewage is monitored, comprehensive real-time on-line monitoring and fault diagnosis are carried out on the equipment operation condition of each link, the accurate control level of the operation of the sewage treatment plant is improved, and environmental protection accidents are avoided.

The utility model relates to a ceramic chip and a nitrogen oxygen sensor, the ceramic chip comprises a plurality of layers of ceramic substrates, and the plurality of layers of ceramic substrates comprise an aluminum oxide substrate on the outer layer and a zirconium oxide substrate on the inner layer; the lead is arranged on the ceramic substrate and is used for connecting an external circuit; the heating electrode is printed on the ceramic substrate; the positive and negative electrodes are hidden in the multilayer ceramic substrate; the measuring electrode is used for measuring a medium to be detected and generating an induction signal; and the reference electrode is isolated from the measuring electrode and is used for providing a reference potential. The utility model has the advantages of higher mechanical strength, measurement accuracy and production efficiency, and lower manufacturing complexity and cost.