492 results about "Oxygen Consumptions" patented technology

The invention relates to the technical field of temperature regulation, in particular to an intelligent root temperature regulation system for hydroponic crops and an implementation method thereof, and the system comprises a root system oxygen consumption monitoring module, an osmotic pressure state monitoring module, a root system metabolism state analysis module, a root temperature parameter reconstruction module and a nutrient solution circulation linkage module. According to the method, the metabolic rhythm state of the root system is judged through oxygen consumption rate gradient difference calculation and trend analysis, the cell injury risk is recognized through two-parameter logic judgment by combining the osmotic pressure change amplitude and the oxygen consumption trend, and the target root temperature is selected through gray correlation analysis according to the abnormal triggering temperature and the stable state temperature; a regulation and control instruction is generated, a PID algorithm is called in combination with real-time circulation flow velocity data to adjust the pump speed, closed-loop dynamic matching of a root temperature set value and a flow velocity behavior is achieved, the adaptability of root temperature response is enhanced, the real-time regulation and control capacity for metabolic imbalance is improved, and the stability and the moisture and nutrient absorption efficiency of a water culture environment root system are effectively improved.

The invention relates to the field of coal mine exhaust control, in particular to a coal mine exhaust control method and device based on environmental perception. The method comprises the following steps: acquiring multi-dimensional monitoring signals based on environment sensing sensors at multiple positions of a mine, performing distributed sensing marking, and constructing a global gas concentration sensing graph; the method comprises the following steps: acquiring position information of operating personnel in real time based on a miner positioning sensor, performing short-time movement prediction on the operating personnel, and generating a miner movement prediction path; obtaining a coal mine internal structure chart, and carrying out average oxygen consumption rate budget and instantaneous oxygen supply demand calculation based on the miner movement prediction path to obtain oxygen supply demand indexes of each unit; and according to the oxygen supply demand index of each unit, intelligent exhaust power calculation adjustment is carried out, and a conventional exhaust control strategy is constructed. Ventilation efficiency of the coal mine area is improved, emergency blast treatment is carried out under the risk condition, the risk problem response capacity is greatly improved, and safety of the coal mine area is enhanced.

The invention discloses an oxygen consumption self-adaptive regulation and control method and system for a medical molecular sieve oxygen generation system, and belongs to the technical field of control. In the embodiment of the invention, demand dynamic fluctuation and environment change are dealt with through a data fusion and collaborative prediction mechanism, and meanwhile, the performance attenuation state of a molecular sieve is brought into an operation strategy optimization target; dynamic adaptation of oxygen demand prediction, performance evaluation and operation regulation and control is achieved, and the overall operation reliability and economical efficiency of the system are improved. Besides, the characteristics are combined to form a technical scheme for regulating and controlling the oxygen consumption of the medical molecular sieve oxygen generation system, the core of the technical scheme is to solve the coupling problem of demand fluctuation and environmental influence through a collaborative optimization mechanism driven by multi-source data, and technical support is provided for collaborative optimization of oxygen supply stability, equipment service life and energy consumption efficiency.

The invention discloses a soil oxygen dynamic prediction method for precision agriculture, and belongs to the technical field of soil oxygen prediction, and the method comprises the following steps: S1, collecting key parameters of different soil depths in a research area, and S2, calculating a soil oxygen diffusion coefficient according to the key parameters of different soil depths in the research area; s3, calculating the respiration rate of the soil root system; s4, constructing a soil oxygen consumption model; and S5, carrying out iterative calculation to obtain soil oxygen concentration distribution at different moments and different depths. The method can solve the problem that the oxygen concentration of the soil is influenced by complex factors such as moisture, temperature, porosity, root respiration and microbial activity, and provides a scientific basis for precise agricultural irrigation, soil health assessment and oxygenation irrigation strategy optimization.

The utility model discloses a respiration and metabolism oxygen consumption measuring device which comprises an experiment cabin, an air inlet assembly and a differential pressure sensor, the experiment module is internally provided with an adsorption material for absorbing water and carbon dioxide; the air inlet assembly comprises an electromagnetic valve, one end of the air inlet assembly is communicated with the experiment module through a second pipeline, the other end of the air inlet assembly is communicated with the atmosphere or a normal pressure air storage bag, a positive pressure interface of a differential pressure sensor is communicated with the experiment module through a first pipeline, and a negative pressure interface of the differential pressure sensor is communicated with the atmosphere; the differential pressure sensor is used for collecting air pressure changes in the experiment module and obtaining respiration data of a detected object according to the air pressure changes, and the respiration data comprises respiration frequency and / or lung ventilation capacity. The respiratory data such as the respiratory rate and the lung gas energy change of a detected object can be obtained without an oxygen sensor, the device is used for measuring the metabolic oxygen consumption, the service life of equipment is prolonged, and the cost is reduced.

The invention discloses a data and mechanism combined driving converter steelmaking oxygen consumption calculation method and system, and belongs to the technical field of converter steelmaking. Dividing the data into field measurable data and parameters which cannot be measured in real time (including key parameters which cannot be measured in real time and non-key parameters which cannot be measured in real time); inputting field measurable data into the parameter prediction model to obtain a key parameter prediction value which cannot be measured in real time and an oxygen consumption prediction value; an oxygen consumption mechanism calculation model is adopted, and the oxygen consumption is calculated according to the converter steelmaking production data; wherein the key parameters which cannot be measured in real time adopt model prediction values; and weighting the predicted value of the oxygen consumption and the calculated value of the mechanism calculation model to obtain an oxygen consumption calculation result. According to the method, the oxygen consumption in the converter steelmaking process can be accurately predicted, and the actual requirement for accurately controlling the oxygen consumption according to the input material and the control target is met.

The utility model discloses a respiration and metabolism oxygen consumption measuring device which comprises an experiment cabin, an air inlet assembly and a differential pressure sensor, the experiment module is internally provided with an adsorption material for absorbing water and carbon dioxide; the air inlet assembly comprises a resistance valve, one end of the air inlet assembly is communicated with the experiment module through a second pipeline, the other end of the air inlet assembly is communicated with the atmosphere or a normal pressure air storage bag, a positive pressure interface of a differential pressure sensor is communicated with the experiment module through a first pipeline, and a negative pressure interface of the differential pressure sensor is communicated with the atmosphere; the differential pressure sensor is used for collecting air pressure changes in the experiment module and obtaining respiration data of a detected object according to the air pressure changes, and the respiration data comprises respiration frequency and / or lung ventilation capacity. The respiratory data such as the respiratory rate and the lung gas energy change of a detected object can be obtained without an oxygen sensor, the device is used for measuring the metabolic oxygen consumption, the service life of equipment is prolonged, and the cost is reduced.

The invention belongs to the field of electronic component manufacturing, and particularly discloses a sintering method of a multilayer ceramic capacitor, which comprises the following steps of: carrying out trial sintering on a laminated green body after glue removal according to a sintering curve to obtain an oxygen consumption-temperature curve, and taking the oxygen consumption as a reference oxygen consumption at a corresponding temperature; formal sintering is carried out on the stacked green bodies after glue discharging according to a sintering curve, and the sintering atmosphere is adjusted according to the variable quantity of the real-time oxygen consumption and the standard oxygen consumption; the sintering atmosphere contains inert gas, hydrogen and water vapor. According to the sintering method, the sintering atmosphere composition and the gas flow in the formal sintering step can be regulated and controlled in real time, so that the stability of fluidity, oxidability and the like of the sintering atmosphere in the formal sintering process is ensured, the oxidized amount of the Ni element in the MLCC product is controlled, the electrical performance and the reliability of the prepared MLCC product are improved, and the production cost is reduced. Meanwhile, the equipment utilization rate is increased, the productivity is increased, and the cost is reduced.

The invention discloses a lithium battery thermal runaway early warning and fire extinguishing integrated system, which relates to the technical field of battery safety, and comprises an early warning subsystem, a fire extinguishing subsystem, an oxygen consumption detection subsystem and a signal analysis processing control subsystem, the early warning subsystem comprises a temperature early warning unit, a current voltage-ultrasonic early warning unit and a gas-sound signal early warning unit which are respectively used for monitoring the temperature, the current voltage, the ultrasonic signal, the gas component and the sound signal of the lithium battery in real time; the oxygen consumption detection subsystem comprises an oxygen consumption detection analysis unit and is used for performing thermal runaway heat release statistics, performing data statistics on thermal runaway early warning parameters, finding a thermal runaway heat critical value and making preparations for fire extinguishing; the fire extinguishing subsystem comprises a fire extinguishing unit and is used for quickly starting a fire extinguishing device to extinguish a fire after the thermal runaway of the lithium battery is confirmed; and the signal analysis control subsystem comprises a signal analysis processing control unit and is used for receiving and analyzing the early warning signal and controlling the fire extinguishing subsystem to extinguish fire according to the early warning signal.

The invention discloses an organic biomass aerobic fermentation oxygen supply control method based on multi-sensor fusion and state observation, and the method comprises the steps: arranging a temperature sensor, a humidity sensor, a pressure sensor, a flow sensor and a weighing device in a fermentation device, and collecting inlet and outlet air parameters and material temperature and mass in real time; the method comprises the following steps: dynamically calculating the moisture evaporation amount based on humid air science and mass conservation, estimating the fermentation heat release amount in combination with a heat balance model, fusing multi-source data through a Kalman filter, dynamically correcting the mass of organic matters and the state quantity of the heat release amount, and realizing accurate estimation of oxygen consumption without an oxygen probe; according to the method, through a residual driving weight adjustment mechanism, measured value correction is enhanced in the fermentation temperature rising period to avoid insufficient oxygen supply, model trust is enhanced in the stationary period to inhibit excessive aeration, closed-loop aeration control is achieved, the scheme gives consideration to energy efficiency, stability and suitability, and oxygen supply accuracy and fermentation efficiency are remarkably improved.

The invention discloses an aircraft oxygen load distribution method based on a dynamic database, and relates to the field of aviation system engineering and control engineering, and the method comprises the steps: building a digital twin model through simulation software, obtaining the current state of aircraft oxygen, presetting the oxygen demands at different flight stages, and obtaining a digital twin model; performing multi-physics field coupling optimization on the digital twin model through an optimization algorithm, feeding back an optimized result to a dynamic database to obtain an oxygen distribution scheme, training an oxygen demand model by utilizing a federated learning technology, predicting oxygen demand in a future flight stage, and designing and deploying a self-repairing mechanism according to a prediction result; according to the method, the oxygen consumption condition is monitored in real time through the dynamic reconstruction algorithm, and the oxygen distribution scheme is intervened and optimized when it is detected that the oxygen distribution scheme is not matched with the oxygen consumption condition, so that the requirements of emergencies are met, and the error-tolerant rate and the reliability are greatly improved.

The present invention relates to an additive that comprises compounds of plant and mineral extracts, useful in recirculating aquaculture system that will significantly improve efficiency of the biofilter used in said systems, thus reducing the levels of toxic chemicals such as ammonium and nitrite. Furthermore, this additive will also reduce oxygen consumption and provide better overall water quality conditions. This implies an improvement in the efficiency of these systems, thus achieving farming of different fish species with lower mortality, better feed conversion, and growth rate.

To disclose a similar experimental system and method to measure dynamic progression characteristics of spontaneous ignition of coal in the field of coal mining.SOLUTION: A gas supply system blends nitrogen and oxygen into dried air; a coal sample tank adds coal samples based on similar order and span size when a roof collapses and fills a goaf; a programmable heating furnace adjusts a furnace temperature and sets a programmed heating rate; a gas chromatograph analyzes gas samples collected from an exhaust port of a dynamic sample-adding coal tank, and records the temperature of the coal samples collected by a temperature sensor after completing addition of the coal samples; and a data collection host obtains the temperature of coal, exhaust components, and concentrations during a dynamic sample addition process, calculates oxidation oxygen consumption rate, heat generation rate, etc. using an oxidation kinetics method, and determines dynamic rules and progression of spontaneous ignition of residual coal in the goaf during a dynamic mining process. As a result, it is possible to measure dynamic progression characteristics of spontaneous coal ignition by dynamically adding the coal samples.SELECTED DRAWING: Figure 2

The invention discloses a soil risk assessment method for a red-soil rice field, particularly relates to the field of soil risk assessment, and aims to solve the problems that an existing method cannot accurately identify the hypoxia risk below a plough layer and the influence of the hypoxia risk on a root system. The method comprises the following steps: constructing a joint monitoring mechanism of heat flux and oxygen concentration, extracting metabolic heat release power and an oxygen consumption trend, identifying a reduction dominant region below a plough layer, fitting a space boundary of the reduction dominant region, and establishing a three-dimensional distribution diagram of an oxygen deficit dominant region; the method comprises the following steps: extracting an overlapped space boundary of a root zone and an anoxic zone in combination with a crop root system distribution condition, analyzing a contour expansion rate and a root zone change characteristic in a continuous monitoring time period, and constructing a soil degradation trend identification parameter set; and finally, performing score mapping on the parameter sequence according to a preset degradation judgment weight, generating a soil degradation risk grade map covering the whole red soil rice field region, and having a soil risk expression capability with high spatial resolution and high judgment precision.

The invention discloses a coal gas / oxygen consumption prediction method and system suitable for a steel plant and a medium. The method comprises the steps that the coal gas / oxygen consumption of the steel plant and historical sequence data of influence indexes highly related to the coal gas / oxygen consumption are obtained; training an attention mechanism-based improved Elman neural network by using the acquired historical sequence data to obtain a coal gas / oxygen consumption prediction model; and acquiring real-time monitoring sequence data of the coal gas / oxygen consumption and the influence indexes highly related to the coal gas / oxygen consumption, and inputting the real-time monitoring sequence data into the coal gas / oxygen consumption prediction model to obtain a predicted value of the coal gas / oxygen consumption at a future moment. According to the method, the coal gas / oxygen consumption and the influence index data highly related to the coal gas / oxygen consumption are used as model input, and an attention mechanism is introduced to adopt different attention degrees for various inputs, so that the coal gas / oxygen consumption prediction precision can be further improved, and accurate and rapid real-time coal gas / oxygen consumption prediction is realized.

The invention discloses a mechanism-data driven converter energy consumption and carbon emission prediction modeling method. On the basis of analyzing the relationship between substances and energy flow in the converter steelmaking process, a theoretical analysis method is adopted, and a mechanism model of nitrogen, argon, compressed air and electricity consumption in the converter steelmaking process is established. A data driving mode is used, an MIC method is adopted for feature selection, and then a WOA-XGBoost method is used for constructing a data model of oxygen consumption, converter gas recovery, steam recovery and molten steel yield. And finally, combining the mechanism and the data model to obtain a converter ton steel energy consumption and ton steel carbon emission model to realize prediction. The method can provide support for iron and steel enterprises to realize energy conservation and carbon reduction, and is of great significance to green development of the enterprises.

There is provided a device for measuring a person's ventilation including oxygen consumption. The device includes a sensor assembly. The device includes a breathing conduit through which at least one exhalation is received. The device includes a dehumidification cartridge configured to receive a sample amount of said exhalation from the breathing conduit, dehumidify the sample amount of said exhalation, and direct the sample amount of said exhalation so dehumidified to the sensor assembly. The dehumidification cartridge includes a dehumidification conduit having a proximal end at said sensor sampling port and which extends from the sensor sampling port towards the sensor assembly. The dehumidification cartridge includes a dehumidification chamber enclosing the dehumidification conduit. The dehumidification chamber is shaped to promote a flow of air therethrough. The dehumidification cartridge is shaped to facilitate for sanitary purposes, periodic replacement of either or both of the replaceable dehumidification cartridge and the dehumidification conduit thereof.

Methods, apparatuses, and systems for mechanically releasing a predetermined amount of supplemental oxygen to a user via a mechanical initiator are disclosed with the release of the amount of supplemental oxygen based on and in response to the combined factors of a user's determined oxygen consumption based on sensing a user's inhalation combined with determining the ambient pressure in the area of the user.

The present invention discloses an intelligent nursing bed for preventing patients from falling in an operating room, including an anti-fall nursing bed, which is mainly composed of an electric drive system, a sensor, a control system and an Internet connection function. The anti-fall nursing bed includes a bed body, the upper surface of the bed body is movably connected to a bed frame, a mattress is fixedly arranged on the upper surface of the bed frame, two pad clamping grooves are provided on the upper surface of the mattress, and the inner part of the pad clamping groove is rotatably arranged with a limit pad; the present invention, through the setting of the anti-fall nursing bed, under the action of an air pump, can not only use the gas rod and the piston push rod to push the limit pad and the telescopic airbag to position the patient. Moreover, when the patient falls, the airflow passing area can be automatically increased, the top support force on the limit pad is enhanced, and the fall can be stopped. At the same time, the introduced gas can be cooled, and the cold airflow can be used to absorb heat and cool the upper body of the patient, assist anesthesia, reduce oxygen consumption, etc., to improve the stability of the operation and reduce the risk.

The invention discloses a patient transfer intelligent monitoring platform based on the Internet of Things and the intelligent wearing technology, and relates to the technical field of transfer intelligent monitoring, and the platform comprises an intelligent wearing equipment module which is used for carrying out the time sequence collection of physical sign data in a transfer process, and obtaining a physical sign monitoring data sequence; the medical equipment interconnection module is used for carrying out simultaneous multi-terminal data acquisition; the data transmission network module is used for determining an infusion pump infusion speed analysis result, a physical sign abnormal mode analysis result, a monitoring terminal abnormal mode analysis result and an oxygen consumption reserve analysis result; and the alarm and display module is used for graded alarm and shared display of the electronic handover bill. The technical problems that in the prior art, continuous dynamic monitoring cannot be achieved in the transferring process of the invasive mechanical ventilation patient, the early warning capability is lacked, and handover communication is not smooth are solved, and the technical effects that physical sign data and medical equipment parameters in the transferring process of the patient are collected in real time, and transferring monitoring continuity and handover efficiency are improved are achieved.

The invention belongs to the technical field of microbial fermentation engineering, and provides a monascus immunity enhancing effect fermentation optimization system and method based on data analysis, and the method comprises the following steps: a multi-source data edge preprocessing module deploys a sensor to collect dissolved oxygen, temperature and other data, and performs edge calculation filtering normalization to obtain an edge data preprocessing module; the thallus oxygen uptake rate prediction model training module establishes an oxygen uptake rate prediction model based on historical data by using LSTM in combination with an attention mechanism, and RMSE is less than 5%; the dissolved oxygen dynamic control strategy module fuses MPC and fuzzy control, the ventilation capacity and the stirring speed are dynamically adjusted according to predicted oxygen consumption, the control period is 30 seconds, an execution mechanism and a feedback correction module execute control through a mass flow controller and the like, and model parameters are corrected according to DO deviation; the whole-process closed-loop optimization module is provided with dual early warning, control parameters are updated based on a Bayesian optimization algorithm, the system achieves accurate control over dissolved oxygen in the fermentation process, and the monascus biomass and the yield of active ingredients are increased.

The invention relates to the technical field of early warning and monitoring, in particular to a deep groundwater supplementation data analysis and early warning system which comprises a signal processing module, an oxygen consumption analysis module, a nitrogen transmetabolism module, a risk identification module and a coupling optimization module. According to the method, the metabolism trend is analyzed by synchronously collecting underground multi-depth chemical indexes and removing noise, establishing a unified time sequence data set, extracting dissolved oxygen, nitrate and ammonia nitrogen concentration change characteristics, calculating the oxygen dissipation rate and constructing the time-depth distribution relation, and combining nitrogen conversion rate regression. A risk section is identified according to the directions of oxygen dissipation increase and metabolism decrease, the micro-potential gradient and coupling index change are further analyzed in combination with an electrochemical change rule, dynamic identification and risk early warning of the deep groundwater refilling process are achieved, and monitoring is changed from static data comparison to multi-dimensional dynamic analysis. The accuracy and the timeliness of abnormal recognition are improved, and the complement safety and the continuity and the reliability of data results are guaranteed.

The invention relates to the technical field of medical monitoring, in particular to a patient cardiopulmonary function monitoring system and method and a computer readable storage medium, the monitoring system comprises a breathing machine, a pulmonary membrane oxygenation device, a first monitoring module and a second monitoring module, and the breathing machine comprises a breathing circuit, a processing module and a display module; the pulmonary membrane oxygenation equipment comprises an oxygenator; the first monitoring module is used for monitoring carbon dioxide exhaling parameters in gas exhaled by a patient in real time; the second monitoring module is used for monitoring carbon dioxide discharge parameters in gas discharged by the oxygenator in real time. By means of real-time monitoring of exhaling parameters of carbon dioxide in gas exhaled by a patient and discharging parameters of carbon dioxide in gas discharged by an oxygenator, continuous monitoring of the change condition of the cardiac function and / or the lung function of the patient is achieved, oxygen consumption of the patient can be truly reflected, parameter adjustment of a breathing machine and lung membrane oxygenation equipment is facilitated, and the patient experience is improved. And guidance is provided for turning of the pulmonary membrane oxygenation equipment.

To provide a dissolved oxygen consumption measuring device capable of efficiently measuring dissolved oxygen consumption of a number of samples and being easily downsized.SOLUTION: A dissolved oxygen consumption measuring device 1 includes: a container 2; a sample liquid supply channel 7 that supplies a sample liquid; an air supply channel 8 that supplies an aeration air; a supply nozzle 10 that supplies a fluid selectively supplied from the sample liquid supply channel 7 and the air supply channel 8 into the container 2; and a dissolved oxygen sensor 4 that detects a dissolved oxygen concentration of the sample liquid supplied to the container 2.SELECTED DRAWING: Figure 1

The invention provides a treadmill device for studying animal energy metabolism. The treadmill device comprises a treadmill body, a respiratory metabolism monitoring system, a data acquisition controller and upper computer software. The treadmill main body is made of an aluminum magnesium alloy material, and is equipped with a running belt with the thickness of 2mm and a servo motor belt signal feedback system. The respiratory metabolism monitoring system can monitor parameters such as oxygen consumption, carbon dioxide output, respiration exchange rate, heat and the like, and can monitor animal movement, respiration and weight information at the same time. The data acquisition controller can manually adjust the current, angle and the like of the treadmill and is provided with various interfaces. The upper computer software can monitor and display multiple data of animals in real time, has data analysis and mapping functions, and can export original data in Excel, txt and jpg formats. A gas mixing fan is arranged in the device, so that the gas sampling accuracy is ensured. The energy metabolism indexes can be monitored on line in real time in the animal running process, data instantaneity and accuracy are improved, environments with different exercise intensities are simulated, and experimental application scenes are expanded.

Systems and methods are provided for comprehensive in vivo nanotoxicity testing, as well as fabrication methods of chips used for nanotoxicity testing. A three-dimensional (3D)-printed, automated microfluidic chip can be configured for in vivo nanotoxicity testing, and the chip can allow for multi-route (e.g., waterborne and / or foodborne) exposure of marine organisms to small materials (e.g., plastics such as microplastics and / or nanoplastics (NPLs), or metals), providing real-time, in situ monitoring of bioaccumulation and oxygen consumption.

The invention discloses a compound for flue gas deoxidation and a flue gas deoxidation method, and relates to the technical field of flue gas treatment for preventing spontaneous combustion injection of residual coal in a goaf. The compound comprises coal semicoke and a composite metal oxide which are mixed, wherein the composite metal oxide comprises CoO and CuO in a mass ratio of 7: (2.5-3.5); the compound is combusted through a fixed bed, and flue gas generated by combustion is deoxidized; when the coal semicoke is used for catalytic combustion deoxidation, CoO and CuO in a certain proportion are added, so that the oxygen consumption rate is high, the CO generation amount and the CO concentration are low, the ignition point is reduced, and the comprehensive effect is good; the problem that the concentration of O2 and the concentration of CO in the flue gas are too high when the flue gas is injected into an underground goaf is solved.

The invention relates to the technical field of steel production equipment, in particular to a vanadium-titanium pellet oxygen-enriched roasting consolidation device which comprises a gas-coal mixed spraying burner, a high-pressure oxygen supply system and an automatic control system, and the high-pressure oxygen supply system is communicated with the gas-coal mixed spraying burner through a pipeline and used for supplying oxygen to the gas-coal mixed spraying burner; the automatic control system is electrically connected with the high-pressure oxygen supply system and used for monitoring and adjusting oxygen pressure, oxygen of two working conditions is provided, and therefore the device can prevent incomplete combustion caused by insufficient oxygen supply, the combustion efficiency of fuel is improved, and even under the condition that the oxygen consumption changes, the combustion efficiency of the fuel is improved. The roasting effect can be optimally controlled, fuel consumption is reduced through stable oxygen supply, and the quality consistency of pellets and the optimal utilization rate of high-pressure oxygen can be guaranteed.

The invention belongs to the technical field of physical fitness detection, and discloses a riding exercise multi-dimensional physical fitness detection machine and a detection method thereof.The riding exercise multi-dimensional physical fitness detection machine comprises a support, a bicycle body fixed to the top of the support, and a physical fitness detection mechanism arranged on the bicycle body, an adjustable supporting rod and a supporting sleeve are fixedly arranged on a cross beam of the bicycle body, a telescopic hose is fixedly connected to the top of the adjustable supporting rod, and a communicated detection cover is fixedly arranged at one end of the telescopic hose. According to the invention, through the cooperation of the detection cover and the telescopic hose, during physical fitness detection, the detection cover is worn to realize the collection and detection of inhaled and exhaled gases, the oxygen consumption and carbon dioxide output in the exercise process are calculated, the respiratory quotient calculation is completed, and the evaluation of aerobic exercise ability is comprehensively realized; the physical fitness detection range is expanded, and more comprehensive physical fitness detection data are obtained.

The invention provides a converter oxygen consumption prediction method and system based on an improved hybrid expert model, and relates to the technical field of data processing.The method comprises the steps that the hybrid expert model is constructed, the hybrid expert model comprises an expert part and a gating part, and the expert part comprises a plurality of converter oxygen consumption prediction models; inputting prediction parameters to the expert part; according to the prediction parameters, through each converter oxygen consumption prediction model in the expert part, a converter oxygen consumption preliminary prediction value is output; inputting a prediction parameter and a converter oxygen consumption preliminary prediction value output by each converter oxygen consumption prediction model into a gating part; according to the prediction parameters and the converter oxygen consumption preliminary prediction value output by each converter oxygen consumption prediction model, selecting a preset number of converter oxygen consumption prediction models as a target converter oxygen consumption prediction model through a gating part; and according to the converter oxygen consumption preliminary prediction value of each target converter oxygen consumption prediction model, calculating a converter oxygen consumption final prediction value.