884 results about "Gas consumption" patented technology

The invention discloses an intelligent control system for a compression heat zero-gas-consumption dryer, and relates to the technical field of compressed air drying. The intelligent control system comprises a data sensing module, an intelligent decision module and an execution module; the data sensing module acquires humidity, temperature, pressure and flow data of compressed air in real time, and can dynamically adjust acquisition frequency according to working conditions to provide a data basis for subsequent decision making; according to the invention, the over-integrated data sensing module monitors the humidity, temperature, pressure and flow of compressed air in real time, and dynamically adjusts the acquisition frequency according to working conditions, thereby providing an accurate data basis for intelligent decision making; the intelligent decision-making module adopts an advanced data processing technology and a VAE model to repair and supplement the data, so that the accuracy and integrity of the data are ensured; in this way, the system can accurately control the drying process, reduce energy waste and achieve the zero-gas-consumption drying effect, and therefore the operation cost is remarkably reduced.

The invention discloses an air compressor frequency conversion and energy saving control method and system based on data analysis, and particularly relates to the technical field of air compressor control. Aiming at the problems of frequency jitter and motor instability of the permanent magnet variable-frequency screw air compressor in a high-frequency air consumption fluctuation scene, the method comprises the following steps of: acquiring exhaust pressure, air consumption flow, motor current, frequency converter output frequency and environment temperature data in real time, performing trend prediction by utilizing a data analysis model, and constructing a multi-dimensional working condition characteristic curve; a gas consumption fluctuation mode is accurately recognized, and predictive judgment is made before frequency fluctuation is about to exceed the limit; according to a prediction result, a frequency converter control strategy is dynamically adjusted, the frequency response rate is buffered in advance, an energy-saving mode is automatically triggered when the load change trend is abnormal, rotating speed control is optimized in real time, and according to the method, the operation stability and response precision of the air compressor are effectively improved, energy consumption is remarkably reduced, and the service life of equipment is prolonged; the method is suitable for the intelligent energy-saving operation requirement in a high-beat and high-precision manufacturing scene.

The invention provides a self-adaptive teaching-free welding robot intelligent gas saving monitoring system, which relates to the technical field of industrial robots, and comprises a three-dimensional sensing module used for identifying the workpiece material category through a multispectral sensor integrated with a welding gun of a welding robot, meanwhile, a stereoscopic vision camera and a line structure light scanning camera are used for obtaining three-dimensional point cloud data of the welding seam in real time; the parameter adjusting module is used for calling a heat conductivity coefficient database based on the three-dimensional point cloud data, and correcting the initial flow of the welding current, the arc voltage and the protective gas in real time; and the matching control module is used for calculating the arc length variable quantity based on the arc voltage, controlling the opening degree of the gas flow valve through a dynamic regulator, realizing dynamic matching of the gas flow and the changed arc length, and generating gas dynamic matching control parameters. Through cooperative operation of self-adaptive attitude compensation and real-time gas consumption monitoring, teaching-free accurate operation in the welding process is achieved, and intelligent control over gas consumption is improved.

The invention relates to an air compressor energy-saving control method, device and equipment based on an AI algorithm, and the method comprises the steps: collecting the operation data of an air compressor in real time; the real-time energy efficiency ratio of each air compressor is dynamically calculated according to the energy consumption and the gas production rate, and the air compressors with the energy efficiency ratios lower than 75% are marked as low-efficiency equipment; on the basis of the historical gas consumption data, the production line schedule, the environmental parameters and the equipment state, the gas consumption demand in the future time period and the future efficiency of the air compressor are predicted through the air pressure demand prediction model and the EER prediction model; on the premise of meeting the gas demand in the future period, with the goal of minimizing the total energy consumption and the constraint conditions that the total gas production rate meets the predicted gas demand and the load rate of the frequency converter is limited to be 50%-100%, an optimal switch combination and load distribution scheme is obtained, and a corresponding control instruction is generated and executed, so that the production demand is accurately matched, and meanwhile, the production efficiency is improved. The energy consumption of the system is reduced, the equipment management efficiency is improved, and the purpose of refined and intelligent energy-saving control of the air compression system is achieved.

The invention relates to the technical field of medical oxygen generators, and discloses an efficient and energy-saving PSA oxygen generator which comprises an adsorption tank, a gas inlet pipeline, a nitrogen discharge pipeline, an I-shaped balance pipeline, a first purging pipeline, a second purging pipeline, an oxygen outlet pipeline, a purity measurement pipeline, a qualified gas pipeline, an unqualified gas pipeline and an emptying pipeline, a throttling element is arranged on each of an inlet pipeline and an outlet pipeline of the adsorption tank and used for controlling the flow of gas when the adsorption tank is balanced, impact of high-speed gas on a molecular sieve is avoided, oxygen-enriched air can stay at the top of the adsorption tank in various balance modes, and desorbed low-concentration oxygen is adsorbed again to obtain the oxygen-enriched air. And the oxygen recovery rate is improved, so that the air consumption is reduced, the required power of an air compressor is reduced, and the energy consumption required by oxygen production is reduced.

The invention relates to the technical field of air compressors, and particularly discloses an air compressor operation and maintenance scheduling method and system.The method comprises the steps that historical air consumption data of air consumption equipment is obtained, and an air consumption change period is divided according to the historical air consumption data of the air consumption equipment; determining typical working conditions of the gas consumption equipment according to the gas consumption change period, and determining load predicted values of the air compressors corresponding to the gas consumption equipment according to the typical working conditions of the gas consumption equipment; real-time load data of the air compressor are obtained, and the load prediction value is corrected according to the real-time load data of the air compressor; and determining the load grade of each air compressor according to the corrected load predicted value, and scheduling the air compressors according to the load grade of each air compressor. According to the method, the optimal air compressor scheduling strategy is formulated by predicting the load data of the air compressors, so that the control precision of the air compressors can be effectively improved, the operation energy consumption can be dynamically reduced, and the optimal operation and maintenance effect can be achieved.

The invention relates to the technical field of safety monitoring, and discloses a linkage monitoring method and system for a gas leakage alarm and a gas meter, and the method comprises the steps: periodically regulating and controlling the temperature of a gas sensor, obtaining monitoring values at different temperatures, calculating a specific value, and recognizing gas leakage and non-leakage gas sources; when leakage is judged, activating a camera to shoot an image of a gas meter counter, synchronously acquiring temperature and pressure data, and uploading the temperature and pressure data to a data processing center; a gas consumption value is extracted based on an image recognition algorithm, environmental interference is corrected in combination with an ideal gas state equation and a dynamic compensation model, and high-precision gas consumption is generated; and by analyzing the time sequence relevance between the corrected consumption and the leakage signal, if an abnormal condition is met, the valve is automatically closed, and an alarm is given. According to the invention, high precision, low false alarm and quick response of gas leakage detection can be realized.

The invention relates to the technical field of water removal and drying of a battery, in particular to a staged flowing type vacuum-pumping water removal method for the battery, and compared with a traditional vacuum-pumping water removal mode, the method can avoid the situation that vacuum needs to be pumped again after a large number of water molecules return to the battery again during pressure relief in the baking process. Therefore, the overall drying time of the battery is shortened, the battery dewatering efficiency is improved, the drying gas consumption is reduced, and the product quality is improved.

The invention provides an intelligent analysis and diagnosis system for caliber matching of a gas measuring instrument, which relates to the technical field of data processing and comprises an extraction module, an analysis and diagnosis module and an analysis and diagnosis module, selecting a main pipe intersection P1, a user access point P2 and a pressure regulating station output point P3 as three dynamic topology reference points; constructing a dynamic topological unit according to the three points, performing regional division on the unit, and extracting pressure-flow coupling feature values of sub-regions; the correction module is used for performing weighted correction on the user gas consumption demand sudden change probability feature vector through the pressure-flow coupling feature value to generate a corrected sudden change probability feature vector; and the processing module is used for performing tensor splicing on the corrected mutation probability feature vector and the pipeline equivalent inner diameter dynamic feature vector, and inputting a full-connection diagnosis network to generate a caliber matching deviation index. The intelligent operation efficiency of gas supply can be improved.

Provided are a method, an IoT system, and a storage medium for demand management of natural gas in distributed energy pipelines. The method includes: determining a commercial gas consumption change sequence; obtaining gas flow data; obtaining historical gas consumption data based on the gas flow data; determining a residential gas consumption change sequence; determining a demand volume sequence based on the residential gas consumption change sequence, the commercial gas consumption change sequence, and the historical gas consumption data; constructing a micro-pipeline network map based on a low-pressure transportation network, a current gas storage amount and a storage capacity of a gas field station, and the demand volume sequence; determining a gas storage coverage rate and a gas supply priority; determining a gas storage adjustment parameter based on the gas storage coverage rate and the gas supply priority; and generating a storage adjustment instruction based on the gas storage adjustment parameter.

The embodiment of the invention discloses a gas consumption demand prediction method, system and device and a storage medium. The method comprises the steps that a plurality of gas consumption demand prediction models are constructed; obtaining a fitting result of the gas consumption demand prediction values and the gas consumption actual values of the plurality of gas consumption demand prediction models; determining a weight factor of each gas consumption demand prediction model under each time node according to the fitting result; and predicting the gas demand by combining the plurality of gas demand prediction models with the weight factor of each gas demand prediction model at the current time node. According to the embodiment of the invention, the weight factor of each gas demand prediction value can be determined through the fitting result between the gas demand prediction values and the actual gas values of the plurality of gas demand prediction models, and the prediction result closer to the actual gas value can be predicted according to each gas demand prediction value and the weight factor thereof. Therefore, the effect of improving the prediction precision of the urban gas demand quantity is achieved.

The invention discloses a gas saving device for welding shielding gas, and relates to the technical field of shielding gas saving, the gas saving device comprises gas saving equipment, a fluid pipeline and a control part are arranged in the gas saving equipment, the control part drives a baffle in the fluid pipeline to move through obtained seam width data so as to obtain the maximum flow of welding the seam width; according to the method, the maximum fluid flow during welding of the seam width is determined through the seam width, namely, targeted fluid flow adjustment can be conducted according to different welding seam widths, the purpose of preliminary gas saving is achieved, and meanwhile covering of protective gas can be guaranteed. And the rotating angle of the dynamic adjusting plate is adjusted according to the proportion, so that the flow is dynamically adjusted to further save gas. According to the real-time change of the welding current, the gas flow is intelligently controlled, and gas is supplied after being specially treated on the premise that the gas formula is not changed. And the gas consumption is effectively reduced while the welding quality is ensured.

The invention discloses an indoor gas consumption abnormity early warning method, device and equipment and a storage medium. The method comprises the following steps: acquiring historical parameter information related to gas information in a target user room; according to the historical parameter information and a pre-constructed gas consumption prediction model, predicting the predicted gas consumption of indoor gas of the target user in a preset prediction period; according to the historical parameter information and the predicted gas consumption, determining a target consumption threshold interval in the preset prediction period; and in the preset prediction period, if the actual indoor gas consumption of the target user is located outside the target consumption threshold interval, determining that the indoor gas consumption of the target user is abnormal, and performing alarm processing. According to the method, the reliability of monitoring the tiny leakage can be improved, false alarm and false interference on the user experience are reduced, an active early warning mechanism is introduced, and a technical basis is provided for gas use safety early warning.

The utility model relates to the technical field of medical oxygen generators, and discloses a high-efficiency energy-saving PSA oxygen generator which comprises an adsorption tank, a gas inlet pipeline, a nitrogen discharge pipeline, an I-shaped balance pipeline, a first purging pipeline, a second purging pipeline, an oxygen outlet pipeline, a purity measurement pipeline, a qualified gas pipeline, an unqualified gas pipeline and an emptying pipeline, a throttling element is arranged on each of an inlet pipeline and an outlet pipeline of the adsorption tank and used for controlling the flow of gas when the adsorption tank is balanced, impact of high-speed gas on a molecular sieve is avoided, oxygen-enriched air can stay at the top of the adsorption tank in various balance modes, and desorbed low-concentration oxygen is adsorbed again to obtain the oxygen-enriched air. And the oxygen recovery rate is improved, so that the air consumption is reduced, the required power of an air compressor is reduced, and the energy consumption required by oxygen production is reduced.