961 results about "Carbon monoxide" patented technology

The invention discloses a denitration system inlet nitric oxide disturbance and super-emission control method and system, and the method comprises the steps: adjusting the operation oxygen amount and the over fire air ratio in real time based on the measured values of the carbon monoxide concentration and the nitric oxide concentration of the denitration system inlet; based on denitration system operation data, combining actual sampling delay time to carry out sample data alignment and construct a training sample set; constructing a prediction model based on the training sample set, obtaining a nitrogen oxide concentration prediction value of the inlet of the denitration system through the prediction model, and updating the prediction model in real time; based on the difference between the average value of the outlet nitrogen oxide concentration of each partition and a set value and the difference between the concentration value of the nitrogen oxide at the outlet of the denitration system and the set value, and by combining the predicted value of the nitrogen oxide concentration at the inlet of the denitration system, treatment measures after the nitrogen oxide concentration super-emission are set in a segmented mode. The control performance of the denitration system can be improved, the ammonia spraying amount is reduced, the ammonia escape concentration is reduced, and the system automation input rate is increased.

The invention discloses an intelligent building fire monitoring method, and relates to the field of building fire monitoring, and the method comprises the steps: collecting three types of fire characterization parameters: temperature, smoke concentration and carbon monoxide concentration; the method comprises the following steps: acquiring fire characterization parameters of each node at an initial frequency, comparing the fire characterization parameters to trigger primary warning, then increasing the acquisition frequency for a primary warning node and adjacent nodes, and continuously acquiring multiple groups of data; fire source initial coordinates are determined through positioning anchor points and parameter gradient differences, the coordinate range is continuously corrected, and specific fire source position coordinates are provided; and dynamically generating a fire diffusion path according to the smoke diffusion path of the monitoring node in the fire source coordinate range, tracking the fire diffusion path and providing diffusion direction prediction. The accuracy and timeliness of intelligent building fire monitoring are improved, the quick response to fire dangerous cases is facilitated, and the safety of buildings and personnel is guaranteed.

Disclosed herein are systems and methods for producing natural gas from gas hydrates, which in some embodiments can sequester carbon dioxide. In an embodiment, the system includes: an injection well; a producing well; a producer annulus; a well annulus; a y-shaped well couple; a gas wellbore; a heating wellbore; a well tubing; a tank; a water pump; a separator; a wellhead choke; a work pipe; a CO2 compressor; a well casing; and a pressure-regulator valve. In another embodiment, the method includes: obtaining hot water using a y-shaped horizontal well couple; injecting water heated by geothermal energy; transferring heat from a geothermal zone to a gas hydrate deposit zoon using a dual-lateral horizontal well; regulating water-flooding flow rate using a wellhead choke; collecting water and natural gas using a dual-lateral horizontal well; and coupling the two horizontal wells through connection of two laterals in the gas hydrate zone.

Herein discussed is a method of producing carbon monoxide or hydrogen or both simultaneously comprising: (a) providing an electrochemical reactor having an anode, a cathode, and a mixed-conducting membrane between the anode and the cathode; (b) introducing a first stream to the anode, wherein the first stream comprises a hydrocarbon; and (c) introducing a second stream to the cathode, wherein the second stream comprises carbon dioxide or water or both, wherein carbon monoxide is generated from carbon dioxide electrochemically and hydrogen is generated from water electrochemically.

The invention discloses a heme oxygenase mutant and bilirubin efficiently synthesized by a multienzyme coupling system of the heme oxygenase mutant, and belongs to the field of biological catalysis engineering. The invention provides a heme oxygenase mutant which is used for catalyzing heme to synthesize biliverdin. Coupling biliverdin reductase to catalyze biliverdin to synthesize bilirubin; cytochrome P450 reductase is introduced to provide electrons; removing competitive binding of the by-product to the substrate heme by carbon monoxide dehydrogenase; formate dehydrogenase is used for in-situ regeneration of coenzyme, and bilirubin is efficiently synthesized through a one-pot method. According to the heme oxygenase mutant, the two core enzymes are coupled with three external assistant enzymes, recombinant escherichia coli is constructed, heme is catalyzed, exogenous NADPH does not need to be added, and the yield of bilirubin within 4 h reaches 1611 mg / L and reaches the bilirubin synthesis level which is reported at present and has the highest yield and the shortest time. According to the technology, resource limitation is relieved, the synthesis method is easy to operate and high in yield, and efficient and green synthesis of bilirubin is achieved.

The invention relates to the technical field of carbon monoxide concentration detection, in particular to an industrial flue gas carbon monoxide concentration detection device which comprises an industrial flue gas detection mobile device, and a carbon monoxide concentration infrared detection device and a data analysis processing device are arranged above the industrial flue gas detection mobile device. The device has the beneficial effects that the comprehensive sealing plate is arranged in the flue gas suction probe, the particulate matter treatment frames are matched to guide gas by utilizing a streamline fin-shaped structure, and based on the inertia principle, large particulate matters deviate from a main stream and are pushed and dispersed to particulate matter diversion grooves on the two sides of an airflow particle separation guide sheet; small particulate matters are filtered by the filter disc, and then the gas is guided and dispersed in the heat dissipation and cooling process through the particulate matter treatment frame and is in contact with the water absorption silica gel pad, so that most of moisture can be absorbed, and the aim of pretreating the industrial flue gas in the flue gas suction probe sampling process is fulfilled.

The invention belongs to the technical field of antibiosis and wound healing promotion, and relates to double-response (near-infrared light and hydrogen peroxide double-response photo-thermal / carbon monoxide therapy) antibacterial hydrogel as well as preparation and application thereof. The invention relates to a double-response antibacterial hydrogel. The antibacterial hydrogel is prepared from the following components: drug-loaded nano particles and a hydrogel matrix. The drug-loaded nano particles are prepared by loading dimanganese decacarbonyl (MnCO) into cavities of hollow mesoporous copper sulphide nano particles (HMCuS NPs) and coating the surfaces of the particles with a polydopamine layer (PDA). According to the invention, CO / PTT synergistic treatment of bacterial infected wounds is realized, and the antibacterial effect is significantly improved. An in-vitro antibacterial experiment result shows that the antibacterial hydrogel shows extremely strong inhibition capability on escherichia coli and staphylococcus aureus, and the problem of drug resistance caused by a bacterial biofilm is effectively solved.

The utility model discloses an integrated sensing collector based on well lid intelligent design and a cloud platform system. The integrated sensing collector based on well lid intelligent design comprises a shell, a carbon monoxide detection module, a hydrogen sulfide detection module, an ammonia gas detection module, an ultrasonic water level detection module, a methane detection module, a photosensitive sensing module, a temperature and humidity detection module, an NB-IOT communication module, a central control module and an equipment slot box. The carbon monoxide detection module, the hydrogen sulfide detection module, the ammonia gas detection module, the ultrasonic water level detection module, the methane detection module, the photosensitive sensing module, the temperature and humidity detection module and the NB-IOT communication module are respectively connected with the central control module. According to the utility model, underground risk management requirements under different conditions can be met, and flexible and data-visualized underground state management can be realized.

The invention discloses clostridium and application thereof in fermentation production of alcohol, and belongs to the technical field of industrial microorganisms. The clostridium is a carbon monoxide eating clostridium strain GG6, and is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation number is CGMCC No.34975, and the preservation time is June 23, 2025. The clostridium is a carbon monoxide eating clostridium strain GG6 which is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation number is CGMCC No.34975, and the preservation number is CGMCC No.34975. The carbon monoxide eating clostridium GG6 is obtained by enriching tail gas flue sediments of a coal chemical plant through an abundant culture medium, evolving a screening culture medium and sorting single bacteria, the bacterial strain is fermented by taking synthesis gas (CO / H2 / CO2) as raw material gas to generate acetic acid, ethanol, butyric acid and butanol, the thallus biomass OD600 is more than or equal to 6, the concentration of produced ethanol is more than or equal to 10g / L, the concentration of produced butanol is more than or equal to 2.5 g / L, and the concentration of produced butanol is more than or equal to 2.5 g / L; and commercialized implementation of butanol production through gas fermentation is facilitated.

The invention discloses a method for preparing a carbon monoxide oxidation catalyst by using titanium gypsum and a waste hydrogenation catalyst, which comprises the following steps: crushing and pickling the waste hydrogenation catalyst, washing with clear water until the waste hydrogenation catalyst is neutral, and drying to obtain pretreated waste catalytic powder; uniformly mixing and stirring titanium gypsum and the pretreated waste catalytic powder to obtain gypsum doped pretreated waste catalytic powder; mixing a plant extract, crop powder and gypsum, doping the pretreated waste catalytic powder, uniformly stirring, feeding into mixed bacteria consisting of bacillus and aspergillus, and fermenting under a stirring condition to obtain a biological activated mixture; adding water into the biological activation mixture for hydrothermal reaction, filtering, separating and washing the material after the hydrothermal reaction is finished, roasting the washed filter cake, naturally cooling the roasted material, and crushing to obtain the carbon monoxide oxidation catalyst. According to the invention, the titanium gypsum and the waste hydrogenation catalyst are combined, and the biomass material is used for activating treatment, so that the use of chemical precursors is reduced, and the oxidation catalyst with excellent catalytic performance is obtained.

1. The name of this design product: Carbon monoxide alarm (305B). 2. Purpose of the product of this design: Alarm equipment used to detect gas concentration. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

The invention discloses a comprehensive pipe gallery fire positioning method based on modal recognition and a Bayesian algorithm, and the method comprises the steps: firstly, determining a comprehensive pipe gallery disaster condition for a space scene, and building a comprehensive pipe gallery fire numerical calculation model based on a computational fluid mechanics method; secondly, a physical field modal reduced-order model is constructed based on time slice data, and nonlinear modal recognition of physical information such as temperature, carbon dioxide and carbon monoxide in the utility tunnel during a fire disaster is achieved; thirdly, performing nonlinear modal feature recognition on features of physical information such as temperature, carbon dioxide and carbon monoxide by using a neural network driven by physical information; and finally, based on a Bayesian reasoning algorithm method, carrying out fire position rapid positioning. According to the method, the machine learning theory is fused, and the accuracy, interpretability and timeliness of the model are improved. The method has an important practical application value for rapid prediction and disaster source positioning of the comprehensive pipe gallery fire, and especially can rapidly respond in an emergency, thereby providing support for disaster management.

The invention discloses a method for preparing a carbon monoxide normal-temperature oxidation catalyst by using electrolytic manganese residues and oil sludge, which comprises the following steps: uniformly mixing the oil sludge and the electrolytic manganese residues to obtain manganese oil sludge, uniformly stirring the manganese oil sludge and mixed halophilic desulfurizing bacteria, fermenting, and drying to constant weight to obtain fermented manganese oil sludge, the method comprises the following steps: carbonizing dry fermented manganese oil sludge to obtain a manganese carbide oil material, uniformly mixing the manganese carbide oil material with a blueberry extract to obtain a manganese carbide oil extract mixture, uniformly mixing and stirring the obtained manganese carbide oil extract mixture with a chloroplatinic acid solution, standing, filtering, washing, and drying to obtain the mixed halophilic desulfurizing bacteria. Drying to constant weight to obtain a platinum-doped carbonization extraction precursor, and finally roasting the platinum-doped carbonization extraction precursor to obtain the carbon monoxide oxidation catalyst. The composite catalyst with high specific surface area and multiple active sites is formed, and resource utilization of waste is achieved.

1. The name of this design product: Carbon monoxide alarm (622). 2. Purpose of the product of this design: an alarm for detecting carbon monoxide. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

The invention provides a preparation method of a bio-based smoke-suppressing, toxicity-reducing and flame-retardant coating, and relates to the field of flame retardance of wood materials and polyurethane foam materials. A wood material and a polyurethane foaming material are used as matrixes, a hydrolyzed collagen aqueous solution and a molecular sieve are added into a phytic acid aqueous solution to obtain a PDF solution, and the matrixes are sequentially soaked in CS and PDF solutions to obtain the bio-based flame-retardant coating. The preparation method can be widely applied to wood materials, polyurethane foam materials and the like. The method provided by the invention not only can greatly improve the flame retardant property of the matrix material and reduce the release amount of smoke and carbon monoxide, but also has the characteristics of high transparency, environmental friendliness, simplicity and convenience in operation, low cost and the like, and has the application prospect of large-scale preparation.

The invention provides a tunnel flue gas parameter prediction method based on a physical information neural network, and the method comprises the following steps: constructing a physical information neural network model, and embedding physical constraints including a mass conservation equation, an energy conservation equation and a component conservation equation into a loss function of the physical information neural network model; training the model; obtaining input data related to a tunnel fire; inputting into the trained model to obtain a normalized flue gas concentration predicted value, a normalized carbon monoxide concentration predicted value and a normalized temperature predicted value; and carrying out reverse normalization processing, and outputting a flue gas concentration prediction value, a carbon monoxide concentration prediction value and a temperature prediction value which are expressed in actual physical quantity units. According to the invention, key flue gas parameters such as flue gas concentration, carbon monoxide concentration, temperature and the like in the tunnel can be quickly and accurately calculated and output through the physical information neural network model according to input information such as fire source information, tunnel parameters, material characteristics, natural wind and fan operation states.

The invention discloses a preparation process of a high-strength anti-crack and anti-seepage vertical shaft lining concrete material, which comprises the following steps: (1) uniformly mixing aggregate with a solution containing copper ions, drying to remove moisture, dropwise adding saturated lime water containing alkaline substances into the mixture, and drying to remove moisture to obtain pretreated aggregate; and (2) the pretreated aggregate is placed in a carbon monoxide atmosphere for reduction treatment, the reduction temperature is higher than the melting point of copper, and the surface modified aggregate is obtained after reduction treatment is completed. The surface modified coarse aggregate and the surface modified fine aggregate are respectively prepared according to the method. And (3) uniformly mixing the cement binding material, the surface modified coarse aggregate, the surface modified fine aggregate, the modified fiber, the solid waste-based powder filler, emulsified asphalt and a water reducing agent, adding mixing water, and uniformly mixing to obtain the concrete material. The concrete material disclosed by the invention has good mechanical strength and crack resistance and also has good water seepage resistance, and the service life of the pumped storage power station vertical shaft is effectively prolonged.

The utility model discloses a device for separating LNG (Liquefied Natural Gas) and CO (Carbonic Oxide) through dual-circulation refrigeration and cryogenic separation of mixed refrigerants and nitrogen. Comprising a main heat exchanger, a heavy hydrocarbon separator, an MRC low-temperature separator, a low-temperature separator, a hydrogen stripping tower, a hydrogen stripping tower reboiler, an LNG separation tower, an LNG separation tower reboiler, an LNG separation tower return tank, an LNG separation tower condenser, an N2 / CO separation tower, an N2 / CO separation tower reboiler, an N2 / CO separation tower return tank, an N2 / CO separation tower condenser, a mixed refrigerant compressor system and a nitrogen compression system. In addition, due to the fact that a low-temperature separator, a hydrogen stripping tower, an LNG separation tower and an N2 / CO separation tower are arranged in the process, the purity of CO is larger than 98.5% mol, and cold energy is provided for condensation and liquefaction of raw material gas and nitrogen and liquefaction and supercooling of LNG through a mixed refrigerant refrigeration cycle.

Method for area selective deposition (ASD) on a substrate containing a growth surface that is exposed and a non-growth surface that is exposed. The method includes cyclical exposures of a deposition gas containing a metal carbonyl precursor, the metal carbonyl precursor decomposing on the growth surface such that a metal film is deposited on the growth surface and carbon monoxide (CO) gas is released, and an inhibitor gas after stopping the flow of the deposition gas to the substrate. The cycling between flowing the deposition gas to the substrate and flowing the inhibitor gas to the substrate is repeated to selectively form the metal film on the growth surface relative to the non-growth surface, where the inhibitor gas increases the selectivity of the metal film formed on the growth surface when compared to the selectivity of the metal film formed on the growth surface without the inhibitor gas.

The invention discloses a path planning method and device based on multi-source data, electronic equipment, a medium and a program product, and relates to the technical field of robots. The path planning method based on the multi-source data comprises the following steps: acquiring sensor data from an infrared camera, a laser radar, an ultrasonic sensor, a gas sensor and a temperature sensor which are arranged on a robot; determining the position of a fire source according to the infrared image data corresponding to the infrared camera and the carbon monoxide concentration data corresponding to the gas sensor; and determining a target path based on the current position of the robot, the fire source position and an environment obstacle determined according to the sensor data. According to the technical scheme, the problem that the optimal action path is difficult to efficiently and accurately determine by a current inspection strategy is solved.

The invention discloses a system and a method for preparing acrylic acid by using waste gas containing carbon monoxide, and belongs to the technical field of biological fermentation conversion. The system comprises a biological fermentation acetic acid production unit, a biological fermentation 3-hydracrylic acid production unit, a 3-hydracrylic acid purification unit and an acrylic acid production unit which are connected in sequence. Acetic acid is prepared by performing biological fermentation on carbon monoxide in the waste gas; acetic acid is used for biological fermentation, 3-hydracrylic acid is prepared, separation, extraction and dehydration are carried out, and acrylic acid is prepared. According to the method, the waste gas containing carbon monoxide is used as a raw material to prepare acrylic acid, carbon monoxide is fixed through a biological fermentation technology, the problems of high dependency degree of fossil-based raw materials and high production cost in an existing acrylic acid preparation method can be solved, and successful preparation from carbon resources to high-added-value acrylic acid is achieved.

The invention discloses a multi-device state sensing driven intelligent storage abnormity early warning method, and relates to the field of storage cargo management, and the method comprises the steps: 1, collecting multi-source data through a multi-source sensor node, including odor intensity, volatile organic compound concentration, carbon dioxide or carbon monoxide content, and environment temperature and humidity, meanwhile, physical coordinates of the multi-source sensor nodes are obtained; 2, acquiring historical multi-source data in advance, constructing a dynamic threshold model based on the historical multi-source data, calculating odor fluctuation, a gas combination abnormal index and a temperature and humidity coupling risk value according to the multi-source data, and introducing time evolution trend analysis to obtain a gas combination abnormal index and a temperature and humidity coupling risk value; and a dynamic threshold model is combined to identify risk signals in the odor fluctuation degree, the gas combination anomaly index and the temperature and humidity coupling risk value, a space attenuation model is adopted to generate a three-dimensional anomaly thermodynamic diagram based on the physical coordinates of the multi-source sensor node and the risk signals, and a high-risk area is positioned.

The application discloses an energy-saving, efficient and adjustable alcohol pre-gas ammonia production process method, and particularly comprises the following steps: S1, a raw material gas is separated from a pressurized coal gasification methanol device as alcohol pre-gas and is sent to a shift device of synthetic ammonia through a sealed pipeline; S2, when entering the shift device, the alcohol pre-gas is mixed with a crude synthetic gas to form a mixed gas, then high-pressure steam is introduced to adjust the water-gas and increase the mixed temperature, carbon monoxide is reacted with water vapor in the shift device, and hydrogen gas is prepared as a shift gas; S3, the shift gas is subjected to low-temperature methanol washing and liquid nitrogen washing, then nitrogen gas produced by air separation is added, a synthetic gas is prepared, and the synthetic gas is sent to an ammonia synthesis device. The energy-saving, efficient and adjustable alcohol pre-gas ammonia production process method is adopted, raw material gas is comprehensively utilized in an energy-saving mode, the methanol and synthetic ammonia production yield is flexibly adjusted, and enterprise benefits are improved.

Carbon Monoxide and Gas Detector

A fuel production apparatus (1) includes: a synthesis gas production unit (2) that produces a synthesis gas containing carbon monoxide and hydrogen by using carbon dioxide and hydrogen; a hydrocarbon production unit (4) that produces a hydrocarbon (C5+) by using the synthesis gas; a first distillation separator (28) that separates at least a first fraction and a second fraction lighter than the first fraction from an effluent from the hydrocarbon production unit (4); a hydrocracking unit (32) that performs a hydrocracking treatment on a portion of the first fraction; and a catalytic cracking unit (34) that performs a catalytic cracking treatment on another portion of the first fraction.

The invention is a method for treating patients with post-encephalitic parkinsonism, parkinsonism that may follow carbon monoxide intoxication, or parkinsonism that may follow manganese intoxication by orally administering a controlled release levodopa formulation and the method provides an improvement of a patient's total post-dose “Off” time compared to post-dose of treatment regimens with oral immediate release levodopa tablets.

The invention discloses a preparation method of a ferrocerium / molecular sieve catalyst and an application of the ferrocerium / molecular sieve catalyst in preparation of acetic acid by mild oxidation of methane, and the specific preparation method comprises the following steps: taking metal cerium, ferric salt and a microporous molecular sieve as raw materials, dipping, drying and calcining to prepare the ferrocerium / molecular sieve catalyst. The preparation method is simple in process, easy to implement, simple, convenient and safe to operate, process parameters are easy to control, and active metal cerium and iron in the obtained cerium-iron / molecular sieve catalyst are anchored in micropore channels of a molecular sieve in a monodisperse cation state, so that the cerium-iron / molecular sieve catalyst can selectively oxidize small molecules such as methane and carbon monoxide under mild conditions; and the preparation of high-yield acetic acid chemicals is realized, few byproducts are produced, and large-scale production can be realized.

The invention discloses an atmospheric carbon monoxide concentration inversion method based on domestic hyper-spectral satellite remote sensing, which can be combined with a new instrument with better radiation performance and higher spatial sampling performance to provide a rapid and accurate inversion method, on one hand, the influence of cloud and aerosol on CO inversion precision is considered, and on the other hand, the CO inversion precision is improved; the inversion precision and the coverage rate of the atmospheric CO concentration are improved; and on the other hand, nonlinear influence factors in the fitting process are processed by utilizing an iterative algorithm in the inversion process, and a double-flow radiation transmission model which is more efficient in numerical value is adopted under the condition of meeting feasibility, so that the reliability and rationality of inversion data are ensured, and the data inversion precision and rate are improved.

The invention discloses a toxic gas detector, and relates to the technical field of toxic gas detection. The negative-pressure fan blades and the auxiliary paddles are arranged in the detection cylinder to form a negative-pressure flow field, and the bottom of the cylinder body realizes self-adaptive speed increase through the gear ring-planet regulation and control mechanism; the separation dust collection box adopts tangential multi-channel air intake and is provided with an inverted-cone-shaped sliding funnel, and particles are separated in a centrifugal mode; purified gas is sent to an electrochemical sensor group through a coaxial central gas inlet pipe, so that high-sensitivity monitoring on hydrogen sulfide, carbon monoxide, oxygen and ammonia gas is realized; the problems that an existing detector is prone to being blocked by dust, insufficient in flow and tedious in maintenance are solved, the detection speed, accuracy and reliability are improved, and the device is suitable for continuous safety monitoring of various high-risk environments such as mines, chemical engineering and municipal pipe networks.

The embodiment of the invention discloses a forest fire real-time monitoring system based on multiple sensors of an unmanned aerial vehicle. The forest fire real-time monitoring system is characterized by comprising a four-rotor unmanned aerial vehicle, edge computing equipment, a carbon monoxide sensor and an infrared visible light double-camera, the quad-rotor unmanned aerial vehicle reciprocates and patrols the area for a long distance by relying on a flight task pre-input by edge computing equipment in a specified working range, and a charging hangar is configured at a take-off point of the quad-rotor unmanned aerial vehicle; the edge computing device is installed on the quad-rotor unmanned aerial vehicle, obtains video streams of visible light images and infrared images shot by the infrared and visible light double-camera in real time in the process of flying along a path, carries out real-time smoke alarm in combination with an electric signal input by the carbon monoxide sensor, and carries out multi-mode real-time monitoring by utilizing multiple sensors; when the edge computing device recognizes the forest fire, the forest fire is fed back to the quad-rotor unmanned aerial vehicle, then the quad-rotor unmanned aerial vehicle enters a return flight mode, and forest fire positioning is recorded in the device and fed back to the data center.