Intelligent adjusting method and intelligent adjusting system applied to oxygen production and supply system

Abstract

The invention discloses an intelligent adjusting method and an intelligent adjusting system applied to an oxygen production and supply system, and relates to the technical field of intelligent control. According to the scheme, the starting interval of the oxygen generator in the oxygen generation system, the oxygen consumption data and the pressure of the air storage tank are monitored in real time, the oxygen consumption peak period is predicted according to the collected starting interval data and the oxygen consumption data, the maximum set pressure of the air storage tank and the working time of the oxygen generator are adjusted in advance, and therefore more oxygen can be stored; and the short-time peak oxygen demand is met. Meanwhile, the working time of the oxygen generator is adjusted according to the ratio of the real-time pressure of the gas storage tank to the maximum set pressure, so that the oxygen supply amount of the oxygen generation and supply system is matched with the actual oxygen demand, and the stability of oxygen supply is ensured.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent regulation method and an intelligent regulation system applied to an oxygen production and supply system. Background Art

[0002] There is a big difference in oxygen consumption in hospitals during the day and at night. There are often short-term peaks in gas consumption at night, resulting in insufficient oxygen supply. Traditional oxygen generators are often unable to effectively cope with this situation.

[0003] like Figure 1 The figure shows the structure of the oxygen production and supply system. The oxygen production system generally includes an oxygen generator, an oxygen compressor and a gas storage tank. The traditional oxygen production and supply process is: the oxygen generator produces oxygen - the oxygen compressor pressurizes and then transports it to the gas storage tank - the gas storage tank stores and supplies oxygen to users. During the non-peak oxygen consumption period, the oxygen production is generally greater than the average oxygen consumption of the user, and the gas storage tank will be full after a period of time. For example, the oxygen production is 60m 3 / h, the average oxygen consumption of users is 40m 3 / h, the oxygen consumption during peak period is 80m 3 / h. During the off-peak period, the oxygen concentrator will have 20m 3 The surplus flow of / h enters the gas tank for storage. However, during peak periods, the oxygen production is less than the consumption. Even if the gas tank has sufficient surplus at the beginning, it will be consumed in a short time, resulting in insufficient oxygen supply.

[0004] When the oxygen production is 60m 3 / h, the oxygen consumption during peak period is 80m 3 / h, the differential flow is 20m 3 / h. If the gas storage tank is not used for pre-storage, the gas will not be enough for the user. 3 Gas tank, before the peak of oxygen consumption comes, set the gas tank pressure to 0.4-0.8MPa, which means that the amount of oxygen stored in the gas tank that can be output is: 40m 3 When the oxygen concentrator is producing oxygen at the same time, the additional stored oxygen can make up for 20m 3 / h differential flow, providing users with a full 80m 3 / h of traffic can ensure that users have at least 2 hours of peak traffic use.

[0005] However, if the equipment works under high load for a long time, it will have a certain impact on the life of the equipment. Therefore, after the peak period, the working pressure of the equipment will be reduced to extend the service life of the equipment.

[0006] The traditional method of controlling the amount of oxygen produced is to automatically start and stop the machine through the pressure of the gas tank, such as setting the pressure to 0.4-0.8MPa. When the pressure of the gas tank continues to increase to 0.8MPa, the oxygen generator stops working, and then the oxygen will be released from the gas tank to the user end until the pressure of the gas tank drops to 0.4MPa, at which time the oxygen generator will restart the production of oxygen. However, during the peak period of oxygen use, the pressure of the gas tank may continue to be lower than 0.4MPa, and the oxygen production is lower than the consumption, which cannot meet the oxygen demand. Therefore, oxygen production equipment can only be added to deal with emergencies. However, the peak period is shorter than the off-peak period, and the economic benefits of adding equipment are reduced. Summary of the invention

[0007] The present invention provides an intelligent regulation method and an intelligent regulation system applied to an oxygen production and supply system, so as to solve the problem that a traditional oxygen production system cannot meet the short-term peak demand for gas consumption.

[0008] The present invention is achieved through the following technical solutions:

[0009] In a first aspect of the present invention, there is provided an intelligent regulation method applied to an oxygen production and supply system, which is applied to an oxygen production system, wherein the oxygen production system comprises an oxygen generator and a gas storage tank, and the method comprises:

[0010] Acquire the start-up interval of the oxygen generator, the oxygen consumption data of the oxygen generation system, and the pressure of the gas storage tank in real time;

[0011] Predict the peak oxygen usage period based on historical start-up interval data and historical oxygen usage data;

[0012] determining a ratio of the pressure to a maximum set pressure of the gas storage tank;

[0013] adjusting a startup interval of the oxygen concentrator based on the ratio;

[0014] The maximum set pressure of the gas storage tank is adjusted based on the oxygen peak usage period, and / or the start-up interval of the oxygen generator is adjusted based on the oxygen peak usage period.

[0015] The present invention monitors the start-up interval of the oxygen generator and the pressure of the gas tank in the oxygen production system in real time, predicts the peak oxygen consumption period according to the start-up interval data and oxygen consumption data, and adjusts the maximum set pressure of the gas tank and the working time of the oxygen generator in advance to store more oxygen to cope with short-term peak oxygen demand. At the same time, the working time of the oxygen generator is adjusted according to the ratio of the real-time pressure of the gas tank to the maximum set pressure, so that the oxygen supply of the oxygen production system matches the actual oxygen demand, ensuring the stability of oxygen supply.

[0016] In one embodiment, adjusting the maximum set pressure of the gas storage tank based on the oxygen peak period includes:

[0017] At a first time before the oxygen consumption peak period, adjusting the maximum set pressure of the gas storage tank from a first pressure value to a second pressure value, wherein the first pressure value is less than the second pressure value;

[0018] After the oxygen consumption peak period ends, the maximum set pressure of the gas storage tank is adjusted from the second pressure value to the first pressure value.

[0019] In one embodiment, the method further comprises:

[0020] According to the predicted oxygen consumption data, it is determined whether the oxygen consumption peak is preceded by an oxygen consumption flat period or an oxygen consumption climbing period;

[0021] If it is an oxygen consumption flat period, obtain the oxygen consumption per unit time during the oxygen consumption flat period, calculate the time required to fill the gas tank according to the difference between the oxygen consumption per unit time and the oxygen production, and the real-time pressure of the gas tank, and determine the first time according to the time;

[0022] If it is the oxygen climbing period, the time required to fill the gas tank is calculated based on the corresponding relationship between the climbing curve and the oxygen consumption, as well as the real-time pressure of the gas tank, and the first time is determined based on the time.

[0023] In one embodiment, when the pressure of the gas storage tank reaches the maximum set pressure of the gas storage tank, a shutdown command is executed to stop the oxygen generator.

[0024] In one embodiment, the historical startup interval data is the startup interval data monitored from the current time to the second time, and the historical oxygen usage data is the oxygen usage data of the oxygen production system monitored from the current time to the second time, and the second time is earlier than the current time;

[0025] The predicting of future oxygen consumption data based on historical start interval data and historical oxygen consumption data includes:

[0026] Extracting feature vectors of the historical startup interval data and the historical oxygen usage data through feature engineering, including time series feature vectors, cycle feature vectors, and holiday feature vectors;

[0027] The feature vector is processed by a trained time series prediction model to obtain future oxygen consumption data.

[0028] In one embodiment, adjusting the start-up interval of the oxygen concentrator based on the oxygen peak period includes:

[0029] At a first time before the oxygen consumption peak period, adjusting the start-up interval of the oxygen concentrator from a first interval value to a second interval value, wherein the first interval value is greater than the second interval value;

[0030] After the oxygen consumption peak period ends, the start-up interval of the oxygen generator is adjusted from the second interval value to the first interval value.

[0031] In one embodiment, adjusting the start-up interval of the oxygen concentrator based on the ratio comprises:

[0032] If the ratio is less than a first preset value, shortening the start-up interval of the oxygen concentrator by a preset time;

[0033] If the ratio is greater than a second preset value, the start-up interval of the oxygen generator is extended by a preset time;

[0034] The first preset value is smaller than the second preset value.

[0035] In one embodiment, the method for adjusting the start-up interval of the oxygen concentrator is: by adjusting the pressure value of the gas storage tank, the start-up interval of the oxygen concentrator is indirectly adjusted, and when the pressure of the gas storage tank increases, the start-up interval of the oxygen concentrator also increases synchronously.

[0036] In one embodiment, the oxygen production system also includes an oxygen compressor, and the method also includes: acquiring the exhaust temperature and chassis temperature of the oxygen compressor in real time, and if the exhaust temperature or the chassis temperature is greater than or equal to a warning value, triggering a load reduction program to reduce the pressure of the gas storage tank.

[0037] In a second aspect of the present invention, there is provided an intelligent regulating system applied to an oxygen production and supply system, wherein the oxygen production system comprises an oxygen generator and a gas storage tank, and the regulating system comprises:

[0038] A data acquisition module, used to obtain in real time the start-up interval of the oxygen generator, the oxygen consumption data of the oxygen production system, and the pressure of the gas storage tank;

[0039] Intelligent prediction module, used to predict the peak oxygen usage period based on historical start interval data and historical oxygen usage data;

[0040] A pressure detection module, used to determine the ratio of the pressure to the maximum set pressure of the gas storage tank;

[0041] A control module, used to adjust the start interval of the oxygen concentrator based on the ratio; and also used to

[0042] Adjust the maximum set pressure of the gas storage tank based on the peak oxygen usage period; and / or,

[0043] The start-up interval of the oxygen concentrator is adjusted based on the oxygen consumption peak period.

[0044] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0045] By real-time monitoring of the start-up interval of the oxygen generator and the pressure of the gas tank in the oxygen production system, the peak oxygen consumption period is predicted based on the start-up interval data. The maximum set pressure of the gas tank and the working time of the oxygen generator can be adjusted in advance to store more oxygen to cope with short-term peak oxygen demand. At the same time, the working time of the oxygen generator is adjusted according to the ratio of the real-time pressure of the gas tank to the maximum set pressure, so that the oxygen supply of the oxygen production system matches the actual oxygen demand, ensuring the stability of the oxygen supply.

[0046] By real-time monitoring of the exhaust temperature and chassis temperature of the oxygen compressor, if either the exhaust temperature or the chassis temperature exceeds the warning value, the load reduction program is triggered to reduce the pressure of the gas tank, achieve dynamic balance adjustment, avoid excessive workload of the oxygen generator or prolonged high pressure of the gas tank, and increase the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0048] Figure 1 It is a schematic diagram of the structure of the oxygen production and supply system;

[0049] Figure 2 is a flow chart of an intelligent adjustment method applied to an oxygen production and supply system according to an embodiment of the present invention;

[0050] Figure 3 is an oxygen usage curve diagram of an embodiment of the present invention;

[0051] Figure 4 is a structural schematic diagram of an intelligent regulating system applied to an oxygen production and supply system according to an embodiment of the present invention;

[0052] Figure 5 It is a block diagram of the structure of an oxygen production and supply system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0054] It should be noted that the terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to or inherent to other steps or units of the device.

[0055] The terms used in the various embodiments of the application are only used to describe the purpose of specific embodiments and are not intended to limit the various embodiments of the application. As used herein, the singular form is intended to also include the plural form, unless the context clearly indicates otherwise. Unless otherwise limited, all terms used here (including technical terms and scientific terms) have the same meaning as the meanings commonly understood by ordinary technicians in the field of the various embodiments of the application. The terms (such as the terms defined in the dictionary generally used) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning, unless clearly defined in the various embodiments of the application.

[0056] The embodiments of the present invention provide an intelligent regulation method and an intelligent regulation system applied to an oxygen production and supply system, which are suitable for oxygen supply in short-term gas peak scenarios, and are conducive to intelligently meeting gas demand and extending the service life of the oxygen generator.

[0057] like Figure 2 FIG. 1 is a flow chart of an intelligent adjustment method for an oxygen production and supply system provided by an embodiment of the present invention, including:

[0058] S1, real-time acquisition of the start-up interval of the oxygen generator, oxygen consumption data of the oxygen generation system, and pressure of the gas storage tank;

[0059] S2, predicting the peak oxygen usage period based on historical start interval data and historical oxygen usage data;

[0060] S3, determining the ratio of the pressure of the gas storage tank to the maximum set pressure of the gas storage tank;

[0061] S4, adjusting the start-up interval of the oxygen concentrator based on the ratio of the pressure of the gas storage tank to the maximum set pressure of the gas storage tank; and adjusting the maximum set pressure of the gas storage tank based on the oxygen peak period; and / or adjusting the start-up interval of the oxygen concentrator based on the oxygen peak period.

[0062] Specifically, the sensor module is used to monitor in real time the start-up interval of the oxygen generator, the oxygen consumption data of the oxygen production system, and the pressure value of the gas storage tank. The start-up interval can be counted by the start-stop timing of the system detection equipment, such as using the software control and timing function of the PLC and touch screen to count. For example, when the oxygen generator stops, the timing starts, and when it is started next time, the time interval of this stage is counted and calculated. The pressure value can be detected by the pressure sensor. The start-up interval refers to the interval between the oxygen generator stopping oxygen production and the next start of oxygen production. During the off-peak period, the oxygen generator starts for a period of time and stops for a period of time. When the gas consumption at the back end increases, the continuous start-up time of the oxygen generator will increase, and the start-up interval will be shortened. Even if the oxygen generator is started continuously, it still cannot meet the gas demand at the back end.

[0063] In step S2, an oxygen peak prediction model needs to be established to predict the oxygen peak period through historical startup interval data and historical oxygen consumption data. The basic model can adopt the current model with good multi-feature learning performance, but the algorithm complexity should not be too large to facilitate access to the intelligent adjustment system. The training data collects the startup interval data and corresponding monitoring time of different oxygen generators, manually marks the oxygen peak period, and inputs the training data into the basic training model for training to obtain the oxygen peak prediction model. The prediction model can also use a large language model, use the training data to pre-train the large language model, deploy the trained prediction model in the server, upload the monitoring data to the server for analysis, and then feed back the results to the local. The model training method is based on the training method of the time prediction task type, which will not be repeated here.

[0064] The present invention collects statistics of long-term monitoring data, enters background data statistical analysis, finds out the long-term use pattern of the equipment, intelligently judges the arrival of the peak period, and then makes subtle corrections through feedback on the changes in the equipment startup interval on that day as the basis for intelligent regulation.

[0065] Furthermore, the historical start-up interval data is the start-up interval data monitored from the current time to the second time, and the historical oxygen usage data is the oxygen usage data of the oxygen production system monitored from the current time to the second time, and the second time should be earlier than the current time. When predicting the peak oxygen usage, the historical start-up interval data and the historical oxygen usage data are input into the oxygen usage peak prediction model to obtain the predicted oxygen usage peak period. The second time is, for example, one week before the current time, that is, the start-up interval data of the oxygen generator monitored within the past week is obtained as the historical start-up interval data. The continuously updated historical start-up interval data is input into the oxygen usage peak prediction model to obtain the predicted value of the oxygen usage peak period closest to the current time.

[0066] In one embodiment, predicting future oxygen consumption data based on historical start interval data and historical oxygen usage data includes:

[0067] Through feature engineering, feature vectors of historical startup interval data and historical oxygen usage data are extracted, including time series feature vectors, cycle feature vectors, and holiday feature vectors;

[0068] The feature vector is processed by the trained time series prediction model to obtain future oxygen consumption data.

[0069] Before feature engineering, data preprocessing and model preparation are also included. Data preprocessing includes cleaning, smoothing and timing adjustment of data to facilitate subsequent analysis and model application. Model selection uses time series prediction models such as ARIMA, Prophet, etc., or machine learning models such as regression models, neural networks, etc. Feature engineering is to extract appropriate features based on historical oxygen consumption data, such as time, periodic factors, holiday effects, etc. Model training uses historical data to train the model and perform parameter tuning. Finally, the model prediction generates the oxygen consumption forecast results for a period of time in the future, including the time point of the peak and the expected oxygen consumption. In addition, the model is trained and tuned based on the collected data, and the real-time oxygen consumption data is continuously updated to reflect the current oxygen consumption situation.

[0070] In step S3, the maximum set pressure of the gas tank is a set value, which is less than the actual maximum loadable pressure value of the gas tank. For example, the maximum set pressure of the gas tank is set to A, A = 90% B, and B is the actual maximum loadable pressure of the gas tank. The start-up interval of the oxygen generator is adjusted according to the ratio of the current pressure of the gas tank obtained by real-time monitoring to the maximum set pressure to ensure that the pressure of the gas tank can reach the set maximum set pressure, but is less than the actual maximum loadable pressure, thereby ensuring the safety of the oxygen production system. Specifically, if the ratio exceeds the set threshold, it is necessary to reduce the pressure of the gas tank, appropriately extend the start-up interval of the oxygen generator, and reduce the oxygen supply chain. If the ratio is lower than the set value, oxygen needs to be supplemented, and the start-up interval is appropriately shortened to ensure the oxygen supply at the oxygen consumption end.

[0071] In one embodiment, the start-up interval of the oxygen concentrator is adjusted based on the ratio of the pressure of the gas tank to the maximum set pressure of the gas tank, specifically including: if the ratio is less than a first preset value, the start-up interval of the oxygen concentrator is shortened by a preset time; if the ratio is greater than a second preset value, the start-up interval of the oxygen concentrator is extended by a preset time; the first preset value is less than the second preset value.

[0072] For example, the first preset value is 30%, the second preset value is 90%, and the current pressure of the gas tank obtained through real-time monitoring is C. If C / A<30%, the oxygen production is far behind the consumption speed, the gas tank is in a state of continuous consumption, and the oxygen storage capacity is lower than the normal storage capacity. Oxygen production should be increased, so the start-up interval needs to be shortened to ensure sufficient oxygen supply. On the contrary, if C / A>90%, there is excess oxygen in the gas tank, which also means that the oxygen consumption is decreasing, so the start-up interval of the oxygen generator is extended.

[0073] Furthermore, at the first time before the oxygen peak period, the second preset value is adjusted to the third preset value, and the third preset value is greater than the second preset value. During the oxygen peak period, the second preset value is increased, and the adjustment mechanism for shortening the start interval is not easily triggered, ensuring that sufficient oxygen is stored in the gas storage tank during the peak period, thereby improving the stability of oxygen supply.

[0074] In one embodiment, it also includes the step of monitoring the exhaust temperature and chassis temperature of the oxygen compressor, and adjusting the pressure of the gas tank according to the temperature data. Specifically, if either the exhaust temperature or the chassis temperature exceeds (is greater than or equal to) the warning value, the load reduction program is triggered to reduce the pressure of the gas tank. When the gas compression ratio of the oxygen compressor increases, the exhaust temperature rise will increase, the chassis temperature rise will increase, and its heat dissipation capacity cannot control the temperature rise to a certain extent. The heat generated by the temperature rise will affect the stable operation of the oxygen compressor. When the temperature drops to the set threshold, the pressure of the oxygen storage tank will be increased again to achieve dynamic balance regulation to avoid excessive workload of the oxygen generator or excessive duration of high pressure in the gas tank.

[0075] In step S4, the maximum set pressure of the gas storage tank is adjusted based on the oxygen peak period, and the start interval of the oxygen generator is adjusted based on the oxygen peak period. The two methods can be performed either one or simultaneously.

[0076] In one embodiment, adjusting the maximum set pressure of the gas storage tank based on the peak oxygen usage period includes:

[0077] At the first time before the peak oxygen usage period, the maximum set pressure of the gas storage tank is adjusted from the first pressure value to the second pressure value, and the first pressure value is less than the second pressure value; after the peak oxygen usage period ends, the maximum set pressure of the gas storage tank is adjusted from the second pressure value to the first pressure value.

[0078] Before the predicted peak arrives, the oxygen production of the oxygen concentrator and the capacity of the gas storage tank, as well as the shutdown upper limit pressure of the oxygen compressor, are actively increased to store more oxygen to relieve the peak oxygen pressure. Without adding equipment, the peak oxygen pressure can be relieved and the equipment utilization rate can be improved by actively expanding the capacity. For example, the maximum set pressure of the gas tank is set to A during the off-peak period, and the maximum set pressure of the gas tank is set to B during the peak period, so that the gas tank and oxygen concentrator can work at full capacity during the short-term gas peak to ensure sufficient oxygen supply.

[0079] However, such a method cannot be set to a normal state, similar to CPU overclocking, which will affect the long-term stability of the equipment. If the oxygen compressor is always in a high-pressure and high-load state, the increase in compression ratio will affect its long-term service life. Therefore, this setting needs to be adjusted dynamically to protect the equipment while meeting the oxygen demand.

[0080] In one embodiment, the time for advance adjustment is accurately determined by using prediction data and real-time detection data.

[0081] First, determine whether the period before the peak of oxygen usage is a flat period or a climbing period based on the predicted oxygen consumption data. If it is the flat period, obtain the oxygen consumption per unit time of the flat period, and calculate the time required to fill the gas tank based on the difference between the oxygen consumption per unit time and the oxygen production, as well as the real-time pressure of the gas tank. Based on this time, the first time that needs to be adjusted in advance can be determined. If it is the climbing period of oxygen usage, calculate the time required to fill the gas tank based on the correspondence between the climbing curve and the oxygen consumption, as well as the real-time pressure of the gas tank. Based on this time, the first time that needs to be adjusted in advance can be determined.

[0082] In this embodiment, before the peak arrives, the maximum pressure set by the storage tank can be reached and maintained. In addition to predicting the peak oxygen consumption, the oxygen peak prediction model also generates an oxygen consumption curve chart based on the prediction results, marking the predicted oxygen consumption peak time point and the estimated oxygen consumption in the curve chart, which can intuitively display the predicted oxygen consumption peak period and the predicted oxygen consumption change trend, such as Figure 3 As shown, the corresponding data of the data model can be retrieved in real time according to the oxygen usage curve.

[0083] When determining the time for advance adjustment, determine the time period in advance of the peak according to the oxygen usage curve so that the control system can respond in time. Design the control system's adjustment strategy to ensure that the maximum pressure set by the storage tank can be reached and maintained before the peak arrives, avoiding insufficient or excessive pressure due to untimely response. Monitor the oxygen usage in real time and feed it back to the prediction model and control system to continuously optimize the prediction accuracy and regulation effect. The control and adjustment process of the present invention is illustrated below with reference to FIG*.

[0084] The oxygen consumption per unit time during the flat-peak period is calculated based on the prediction results / oxygen curve, and the difference between oxygen production and consumption is calculated based on the oxygen consumption. Then, based on the real-time pressure of the storage tank, the time required to fill the storage tank is calculated. This time is also the time when the control system participates in the regulation in advance.

[0085] A. Before the peak period, gas usage is all off-peak.

[0086] Calculate the oxygen consumption per unit time during the off-peak period, calculate the difference between oxygen production and consumption based on the oxygen consumption, and then calculate the time required to fill the tank based on the real-time pressure of the tank. This time is also the time when the control system participates in the regulation in advance.

[0087] B. Before the peak period, gas usage is on the rise.

[0088] In this case, based on the algorithm of case A, we can get the closest time t that is easiest to find at the fastest speed. We introduce this time into the data model of the corresponding relationship between the climbing curve and the oxygen consumption, solve it, find the real-time oxygen consumption data, and then substitute the oxygen consumption at this time t into the algorithm of A for calibration and update. By constantly calibrating and comparing the relationship between the oxygen consumption during the climbing period and the oxygen production caused by the early start of the oxygen generator, we can find the time intervention point of the optimal solution, which is the first time of early adjustment.

[0089] In addition, based on feedback and adjustment needs in actual operation, the algorithm and model parameters are flexibly updated to adapt to different time periods and seasonal changes.

[0090] In one embodiment, adjusting the start-up interval of the oxygen concentrator based on the oxygen peak period includes:

[0091] At a first time before the oxygen peak period, the start interval of the oxygen concentrator is adjusted from a first interval value to a second interval value, and the first interval value is greater than the second interval value; after the oxygen peak period ends, the start interval of the oxygen concentrator is adjusted from the second interval value to the first interval value.

[0092] However, the oxygen concentrator cannot be started and stopped too frequently, so when the start interval is less than the critical value, the start interval is set to 0, that is, the oxygen concentrator will continue to work.

[0093] In practical applications, the start-up interval of the oxygen generator is adjusted by adjusting the pressure value of the gas storage tank. 3 Gas tank, oxygen consumption is 30m 3 / h, the tank pressure setting range is: 4-6bar, that is to say, in this pressure range, the available oxygen storage capacity of the tank is: (6-4)*10=20m 3, the oxygen volume can support the use time of this period: 20 / 30*60=40min. This time is also the time that the equipment can be shut down, that is, the start-up interval. When the tank pressure setting range is: 4-8bar, that is to say, in this pressure range, the available oxygen storage capacity of the tank is: (8-4)*10=40m 3 , the oxygen volume can support the use time of this period: 40 / 30*60=80min, which is the time that the equipment can be shut down, and also the equipment startup interval. Therefore, when the set pressure of the storage tank increases, the equipment startup interval also increases synchronously. The startup interval of the oxygen generator can be indirectly adjusted by adjusting the pressure of the gas tank. When the set pressure of the gas tank increases, the startup interval of the oxygen generator also increases synchronously.

[0094] In addition, when the oxygen peak regulation mechanism is triggered, the start interval of the oxygen generator will not necessarily be adjusted. For example, before the peak oxygen consumption period arrives, the start interval of the oxygen generator has reached the second interval value, and no adjustment is required. And during the predicted peak oxygen consumption period, the oxygen generator does not always work at the second interval value, but is constrained by the regulation mechanism of the ratio of the real-time pressure of the gas tank to the maximum set pressure. In this way, measures can be taken in advance according to the prediction results to deal with the peak oxygen consumption period, and the oxygen production system can be adaptively adjusted according to the actual oxygen demand to achieve the best balance and extend the service life of the system.

[0095] In a second aspect of the present invention, there is provided an intelligent regulation system for an oxygen production and supply system, such as Figure 4 The figure shows the structure diagram of the intelligent regulation system applied to the oxygen production system. The regulation system includes:

[0096] The data acquisition module 301 is used to obtain the start-up interval of the oxygen generator, the oxygen consumption data of the oxygen production system, and monitor the pressure of the gas storage tank;

[0097] Intelligent prediction module 302, used to predict the oxygen consumption peak period based on historical start interval data and historical oxygen consumption data;

[0098] A pressure detection module 303, used to determine the ratio of the pressure to the maximum set pressure of the gas storage tank;

[0099] The control module 304 is used to adjust the start-up interval of the oxygen concentrator based on the ratio; and is also used to adjust the maximum set pressure of the gas storage tank based on the oxygen peak period; and / or, adjust the start-up interval of the oxygen concentrator based on the oxygen peak period.

[0100] Furthermore, the data acquisition module 301 includes a pressure sensor 320, which is arranged on a pipeline or tank body connected to the gas storage tank to monitor the gas pressure in the gas storage tank in real time. The startup interval is counted by the system detection device start-stop timer 310, such as using the software control and timing function of the PLC and touch screen to count, for example: when the oxygen generator is shut down, the timing starts, and when it is started next time, the time interval of this stage is counted and calculated.

[0101] Furthermore, the control module 304 adjusts the maximum set pressure of the gas storage tank based on the peak oxygen usage period, specifically: at a first time before the peak oxygen usage period, the maximum set pressure of the gas storage tank is adjusted from a first pressure value to a second pressure value, and the first pressure value is less than the second pressure value; after the peak oxygen usage period ends, the maximum set pressure of the gas storage tank is adjusted from the second pressure value to the first pressure value.

[0102] Furthermore, the control module 304 adjusts the start interval of the oxygen concentrator based on the oxygen peak period, specifically: at a first time before the oxygen peak period, the start interval of the oxygen concentrator is adjusted from a first interval value to a second interval value, and the first interval value is greater than the second interval value; after the oxygen peak period ends, the start interval of the oxygen concentrator is adjusted from the second interval value to the first interval value.

[0103] Furthermore, the control module 304 adjusts the start-up interval of the oxygen concentrator based on the ratio, specifically: if the ratio is less than a first preset value, the start-up interval of the oxygen concentrator is shortened by a preset time; if the ratio is greater than a second preset value, the start-up interval of the oxygen concentrator is extended by a preset time; the first preset value is less than the second preset value.

[0104] Furthermore, the control module 304 indirectly adjusts the start-up interval of the oxygen generator by adjusting the pressure value of the gas storage tank.

[0105] Furthermore, the intelligent prediction module 302 includes a historical start-up interval data acquisition module 330 and an oxygen consumption peak time period prediction module 340. The historical start-up interval data acquisition module receives the start-up interval data collected by the start-up interval sensor for storage, and filters out the historical start-up interval data according to the current time and the second time. The historical start-up interval data is the start-up interval data monitored from the current time to the second time, and the second time is before the current time. The oxygen consumption peak time period prediction module includes a trained oxygen consumption peak time period prediction model, and predicts the oxygen consumption peak in the future period according to the historical start-up interval data.

[0106] Similarly, the historical oxygen usage data is acquired through the historical oxygen usage data acquisition module 370, and the oxygen usage data between the current time and the second time is filtered out according to the oxygen usage data of the oxygen production system collected in real time to obtain the historical oxygen usage data.

[0107] Furthermore, the sensor module also includes an exhaust temperature sensor 350 and a chassis temperature sensor 360, which are used to monitor the exhaust temperature and chassis temperature of the oxygen compressor respectively. The control module is also used to trigger a load reduction program to reduce the pressure of the gas storage tank if the exhaust temperature or the chassis temperature is greater than or equal to the warning value.

[0108] Furthermore, the control module 304 is further configured to set the start-up interval of the oxygen generator to 0 if the start-up interval is less than a critical value.

[0109] According to a third aspect of the present invention, there is provided an oxygen production system, characterized in that it comprises an oxygen generator, an oxygen compressor, a gas storage tank and the regulating system applied to the oxygen production system as described in any one of the second aspects of the present invention.

[0110] A fourth aspect of the present invention provides an electronic device, such as Figure 5 As shown, Figure 5 FIG. 4 is a schematic diagram of the structure of an electronic device of the present invention, wherein the electronic device comprises a processor 40, a memory 41, an input device 42, an output device 43 and a communication device 44; the number of processors 40 in the computer device can be one or more. Figure 5 The processor 40, the memory 41, the input device 42 and the output device 43 in the electronic device can be connected by a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0111] The memory 41 is a computer-readable storage medium that can be used to store software programs, computer executable programs, and modules. The processor 40 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 41, so as to implement the intelligent adjustment method for the oxygen production and supply system in any embodiment of the first aspect of the present invention.

[0112] The memory 41 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 41 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 41 may further include a memory remotely arranged relative to the processor 40, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0113] The input device 42 can be used to receive external data. The output device 43 is used to output data processing results.

[0114] In a fifth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the intelligent adjustment method for an oxygen production and supply system in any embodiment of the first aspect of the present invention is implemented. The storage medium may be a ROM / RAM, a magnetic disk, an optical disk, etc.

[0115] A sixth aspect of the present invention provides a computer program product, which, when executed on a computer, enables the computer to execute the intelligent regulation method for an oxygen production and supply system in any embodiment of the first aspect of the present invention.

[0116] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent regulation method applied to an oxygen production and supply system, characterized in that: The oxygen production and supply system comprises an oxygen generator and a gas storage tank, and the method comprises: Acquire the start-up interval of the oxygen generator, the oxygen consumption data of the oxygen generation system, and the pressure of the gas storage tank in real time; Predicting future oxygen consumption data based on historical start interval data and historical oxygen consumption data, and obtaining an oxygen consumption peak period based on the oxygen consumption data; determining a ratio of the pressure to a maximum set pressure of the gas storage tank; adjusting an activation interval of the oxygen concentrator based on a result of the ratio; The maximum set pressure of the gas storage tank is adjusted based on the oxygen peak usage period, and / or the start-up interval of the oxygen generator is adjusted based on the oxygen peak usage period.

2. The intelligent regulation method applied to the oxygen production and supply system according to claim 1, characterized in that: The adjusting the maximum set pressure of the gas storage tank based on the oxygen peak period includes: At a first time before the oxygen consumption peak period, adjusting the maximum set pressure of the gas storage tank from a first pressure value to a second pressure value, wherein the first pressure value is less than the second pressure value; After the oxygen consumption peak period ends, the maximum set pressure of the gas storage tank is adjusted from the second pressure value to the first pressure value.

3. The intelligent regulation method for oxygen production and supply system according to claim 2, characterized in that: The method further comprises: According to the predicted oxygen consumption data, it is determined whether the oxygen consumption peak is preceded by an oxygen consumption flat period or an oxygen consumption climbing period; If it is an oxygen consumption flat period, obtain the oxygen consumption per unit time during the oxygen consumption flat period, calculate the time required to fill the gas tank according to the difference between the oxygen consumption per unit time and the oxygen production, and the real-time pressure of the gas tank, and determine the first time according to the time; If it is the oxygen climbing period, the time required to fill the gas tank is calculated based on the corresponding relationship between the climbing curve and the oxygen consumption, as well as the real-time pressure of the gas tank, and the first time is determined based on the time.

4. The intelligent regulation method applied to the oxygen production and supply system according to claim 1, characterized in that: The method further includes: when the pressure of the gas storage tank reaches the maximum set pressure of the gas storage tank, executing a shutdown command to stop the oxygen generator.

5. The intelligent regulation method applied to the oxygen production and supply system according to claim 1, characterized in that: The historical startup interval data is the startup interval data monitored from the current time to the second time, and the historical oxygen usage data is the oxygen usage data of the oxygen production system monitored from the current time to the second time, and the second time is earlier than the current time; The predicting of future oxygen consumption data based on historical start interval data and historical oxygen consumption data includes: Extracting feature vectors of the historical startup interval data and the historical oxygen usage data through feature engineering, including time series feature vectors, cycle feature vectors, and holiday feature vectors; The feature vector is processed by a trained time series prediction model to obtain future oxygen consumption data.

6. The intelligent regulation method applied to the oxygen production and supply system according to claim 1, characterized in that: The step of adjusting the start-up interval of the oxygen concentrator based on the oxygen consumption peak period includes: At a first time before the oxygen consumption peak period, adjusting the start-up interval of the oxygen concentrator from a first interval value to a second interval value, wherein the first interval value is greater than the second interval value; After the oxygen consumption peak period ends, the start-up interval of the oxygen generator is adjusted from the second interval value to the first interval value.

7. The intelligent regulation method for oxygen production and supply system according to claim 1, characterized in that: The step of adjusting the start-up interval of the oxygen concentrator based on the result of the ratio comprises: If the ratio is less than a first preset value, shortening the start-up interval of the oxygen concentrator by a preset time; If the ratio is greater than a second preset value, the start-up interval of the oxygen generator is extended by a preset time; The first preset value is smaller than the second preset value.

8. The intelligent regulation method applied to the oxygen production and supply system according to claim 6 or 7, characterized in that: The method for adjusting the start-up interval of the oxygen concentrator is: by adjusting the pressure value of the gas storage tank, the start-up interval of the oxygen concentrator is indirectly adjusted. When the pressure of the gas storage tank increases, the start-up interval of the oxygen concentrator also increases synchronously.

9. The intelligent regulation method for oxygen production and supply system according to claim 1, characterized in that: The oxygen production system also includes an oxygen compressor, and the method also includes: acquiring the exhaust temperature and chassis temperature of the oxygen compressor in real time, and if the exhaust temperature or the chassis temperature is greater than or equal to a warning value, triggering a load reduction program to reduce the pressure of the gas storage tank.

10. An intelligent regulating system applied to an oxygen production and supply system, characterized in that: The oxygen production and supply system includes an oxygen generator and a gas storage tank, and the regulating system includes: A data acquisition module, used to obtain in real time the start-up interval of the oxygen generator, the oxygen consumption data of the oxygen production system, and the pressure of the gas storage tank; Intelligent prediction module, used to predict the peak oxygen usage period based on historical start interval data and historical oxygen usage data; A pressure detection module, used to determine the ratio of the pressure to the maximum set pressure of the gas storage tank; A control module is used to adjust the start-up interval of the oxygen concentrator based on the result of the ratio; and is also used to adjust the maximum set pressure of the gas storage tank based on the oxygen peak period, and / or adjust the start-up interval of the oxygen concentrator based on the oxygen peak period.

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