Nitrogen-making equipment operation supervision system based on real-time data analysis

Abstract

The invention discloses a nitrogen generation equipment operation supervision system based on real-time data analysis, which belongs to the technical field of nitrogen generation equipment operation management and control and comprises an equipment operation supervision module, an environment supervision module, a finished product quality detection module, a supervision feedback module and an early warning regulation and control module. Real-time data monitoring is carried out on gas circulation information of nitrogen making equipment through the finished product quality detection module, whether finished product nitrogen quality is qualified or not is judged accordingly, and when the supervision feedback module receives a finished product disqualification signal, operation condition data and environment data are obtained through the equipment operation supervision module and the environment supervision module respectively; equipment operation state signals and environment state signals are respectively generated according to the operation condition data and the environment data to serve as judgment factors for judging whether the operation state of the nitrogen generation equipment meets requirements or not, the operation state and working parameters of the nitrogen generation equipment are effectively adjusted according to the judgment factors, and efficient and stable operation of the equipment is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of nitrogen production equipment operation control, and more specifically, to a nitrogen production equipment operation monitoring system based on real-time data analysis. Background Art

[0002] Nitrogen production equipment uses technologies such as molecular sieve adsorption, membrane separation and cryogenic air separation to extract high-purity nitrogen from the atmosphere. The processing process of pressure swing adsorption nitrogen production equipment using molecular sieve adsorption includes: compressed air is first pretreated to remove moisture and oil, and then enters the adsorption tower equipped with molecular sieves. Under a certain pressure, oxygen, carbon dioxide and water vapor are adsorbed, while nitrogen is separated because its molecules are too large to enter the micropores.

[0003] At present, traditional nitrogen production equipment lacks an effective real-time operating condition monitoring and control system during operation, and is unable to monitor and feedback the real-time nitrogen production effect of the nitrogen production equipment. The quality of the finished nitrogen is often judged at a later stage. While monitoring and judging the quality of the finished nitrogen in real time, it is impossible to supervise the operating status of the nitrogen production equipment, and promptly identify the influencing factors and provide timely feedback and effective regulation when abnormal operation occurs, which makes it impossible to ensure high-quality nitrogen production results.

[0004] To this end, we proposed a nitrogen production equipment operation supervision system based on real-time data analysis to address the above issues. Summary of the invention

[0005] The purpose of the present invention is to solve the existing practical problems. Compared with the existing technology, a nitrogen production equipment operation supervision system based on real-time data analysis is provided. The gas flow information of the nitrogen production equipment is monitored in real time through a finished product quality detection module and a finished nitrogen purity coefficient is obtained. Based on this, whether the quality of the finished nitrogen is qualified is judged. When the supervision feedback module receives a finished product unqualified signal, the operation condition data and the environmental data are respectively obtained through the equipment operation supervision module and the environmental supervision module. According to the analysis of the operation condition data, a variety of equipment operation status signals are obtained, and according to the analysis of the environmental data, a variety of environmental status signals are obtained. This is used as a determination factor affecting whether the operation status of the nitrogen production equipment meets the requirements, and timely feedback is given according to the determination factors, and the operation status and working parameters of the nitrogen production equipment are effectively adjusted to ensure efficient and stable operation of the equipment.

[0006] The purpose of the present invention can be achieved by the following technical solutions: a nitrogen production equipment operation supervision system based on real-time data analysis, including an equipment operation supervision module, an environmental supervision module, a finished product quality detection module, a supervision feedback module, and an early warning control module;

[0007] The finished product quality detection module is used to collect gas circulation information of the nitrogen production equipment, generate a finished product nitrogen purity coefficient according to the gas circulation information, determine the quality of the finished product nitrogen according to the finished product nitrogen purity coefficient, generate a finished product qualified signal and a finished product unqualified signal, and send the finished product unqualified signal to the supervision feedback module;

[0008] The equipment operation supervision module is used to collect the operating condition data of the nitrogen production equipment, generate an equipment operation status signal by analyzing the operating condition data, and send the equipment operation status signal to the supervision feedback unit;

[0009] The environmental monitoring module is used to collect environmental data of the environment in which the nitrogen production equipment is located, generate an environmental status signal by analyzing the environmental data, and send the environmental status signal to the monitoring feedback unit;

[0010] After receiving the finished product unqualified signal, the supervision feedback unit obtains the equipment operation status signal through the equipment operation supervision module, obtains the environmental status signal through the environmental supervision module, and comprehensively determines whether the operation status of the nitrogen production equipment meets the requirements based on the equipment operation status signal and the environmental status signal.

[0011] As a preferred embodiment of the present invention, the process in which the finished product quality detection module collects the gas circulation information of the nitrogen production equipment and generates the finished product nitrogen purity coefficient includes: collecting the gas inlet information and the gas outlet information at a preset time period within an operation monitoring cycle, the gas inlet information includes the inlet moisture content, the inlet oxygen content and the inlet carbon dioxide content of the discharged gas, and the gas outlet information includes the outlet moisture content, the outlet oxygen content and the outlet carbon dioxide content of the discharged gas;

[0012] The outlet moisture content, outlet oxygen content and outlet carbon dioxide content are summed to obtain the impurity retention rate in the outlet nitrogen. Multiple impurity retention rates within the operation monitoring cycle are obtained at a preset collection interval. The average of all impurity retention rates is calculated to obtain the average impurity retention rate, which is marked as ZC.

[0013] The difference between the inlet water content and the outlet water content, the inlet oxygen content and the outlet oxygen content, and the inlet carbon dioxide content and the outlet carbon dioxide content are calculated respectively, and are marked as water vapor removal rate W, oxygen removal rate O, and carbon dioxide removal rate C, respectively. The water vapor removal rate W, oxygen removal rate O, and carbon dioxide removal rate C are summed to obtain the effective impurity removal rate. Similarly, multiple effective impurity removal rates within the operation monitoring period are obtained at a preset collection interval. The average of all effective impurity removal rates is calculated to obtain the average effective impurity removal rate, which is marked as ZY;

[0014] According to the average impurity retention rate and the average effective impurity removal rate, the finished nitrogen purity coefficient DZX is generated through formula analysis. Where a1 and a2 represent the proportional coefficients of the average effective removal rate of impurities and the average retention rate of impurities, respectively.

[0015] As a preferred embodiment of the present invention, the process of the finished product quality detection module judging the finished product nitrogen quality according to the finished product nitrogen purity coefficient includes: comparing the finished product nitrogen purity coefficient with a preset finished product nitrogen purity coefficient threshold value, and generating a finished product qualified signal when the finished product nitrogen purity coefficient is greater than or equal to the preset finished product nitrogen purity coefficient threshold value, and generating a finished product unqualified signal when the finished product nitrogen purity coefficient is less than the preset finished product nitrogen purity coefficient threshold value.

[0016] As a preferred embodiment of the present invention, the process of collecting and analyzing the operating condition data by the equipment operation monitoring module includes: collecting the inlet ventilation pressure, outlet ventilation pressure, inlet ventilation volume and outlet ventilation volume of the nitrogen production equipment at a preset time period within an operation monitoring cycle;

[0017] The difference between the inlet ventilation pressure and the outlet ventilation pressure is calculated to obtain the pressure difference, and the pressure difference is compared with the preset pressure difference threshold. When the pressure difference is greater than the preset pressure difference threshold, the monitoring point is marked as an abnormal monitoring point. The pressure difference obtained from all abnormal monitoring points is calculated by difference with the preset pressure difference threshold and then summed up. The pressure anomaly coefficient is then calculated by ratio calculation with the total number of abnormal monitoring points and marked as PY. When the pressure anomaly coefficient is greater than or equal to the preset pressure anomaly coefficient threshold, an equipment pressure anomaly signal is generated. Otherwise, an equipment pressure normal signal is generated.

[0018] As a preferred embodiment of the present invention, the equipment operation supervision module calculates the difference between the inlet ventilation volume and the outlet ventilation volume to obtain a flux difference, compares the flux difference with a preset flux difference threshold, and generates a normal equipment flux signal when the flux difference obtained by all monitoring points is greater than or equal to the preset flux difference threshold; when the flux difference is less than the preset flux difference threshold, the monitoring point is marked as an abnormal monitoring point, and the ratio of the sum of the abnormal monitoring times to the total monitoring times is marked as a flux abnormality coefficient; when the flux abnormality coefficient is less than the preset flux abnormality coefficient, a secondary equipment flux abnormality signal is generated; when the flux abnormality coefficient is greater than or equal to the preset flux abnormality coefficient, a primary equipment flux abnormality signal is generated;

[0019] The equipment operation supervision module sends the equipment pressure abnormal signal, the equipment pressure normal signal, the equipment flux normal signal, the equipment flux level 1 abnormal signal, and the equipment flux level 2 abnormal signal as operation status signals to the supervision feedback unit.

[0020] As a preferred embodiment of the present invention, the process of collecting and analyzing environmental data by the environmental monitoring module includes: collecting the temperature value of the environment in which the nitrogen production equipment is located in a preset time period within an operation monitoring cycle, creating a rectangular coordinate system with the collection time t as the x-axis and the real-time temperature value as the y-axis, and drawing a temperature change curve in the rectangular coordinate system by plotting points;

[0021] Mark the two edge values ​​of the stored preset temperature threshold interval on the y-axis as the maximum preset temperature value and the minimum preset temperature value, draw preset straight lines horizontally set to the x-axis from the maximum preset temperature value and the minimum preset temperature value, and judge whether the temperature value of the environment where the nitrogen production equipment is located meets the requirements by the intersection of the preset straight line and the temperature change curve, and generate a temperature stability signal, an over-temperature abnormal signal, and an over-temperature abnormal signal according to the judgment result;

[0022] The environmental monitoring module sends the temperature stability signal, the over-temperature abnormal signal, and the under-temperature abnormal signal as environmental status signals to the monitoring feedback unit.

[0023] As a preferred embodiment of the present invention, after receiving the finished product unqualified signal, the supervision feedback unit generates an equipment operation risk signal when obtaining any abnormal signal of the equipment pressure abnormal signal, the equipment flux secondary abnormal signal, and the equipment flux primary abnormal signal, and determines that the current operating state of the nitrogen production equipment does not meet the requirements. Otherwise, it generates an equipment operation normal signal and determines that the current operating state of the nitrogen production equipment meets the requirements.

[0024] Compared with the prior art, the advantages of the present invention are:

[0025] (1) This scheme is to monitor the gas flow information of the nitrogen making equipment in real time through the finished product quality detection module and obtain the finished nitrogen purity coefficient, and judge whether the finished nitrogen quality is qualified based on this. When the supervision feedback module receives the finished product unqualified signal, the operation condition data is obtained through the equipment operation supervision module, and the environmental data of the environment in which the nitrogen making equipment is located is obtained through the environmental supervision module. According to the analysis of the operation condition data, a variety of equipment operation status signals are obtained, and according to the analysis of the environmental data, a variety of environmental status signals are obtained. These are used as the judgment factors affecting whether the operation status of the nitrogen making equipment meets the requirements, and timely feedback is given based on the judgment factors, and the operation status and working parameters of the nitrogen making equipment are effectively adjusted to ensure efficient and stable operation of the equipment.

[0026] (2) This solution also collects the operating condition data of the nitrogen making equipment through the equipment operation supervision module, and analyzes it from the two directions of ventilation pressure and ventilation volume of the nitrogen making equipment. When the pressure anomaly coefficient generated according to the inlet and outlet ventilation pressures of the nitrogen making equipment is greater than or equal to the preset pressure anomaly coefficient threshold, it indicates that the difference between the inlet and outlet pressures is too large and the pressure fluctuation is too large. The pressure fluctuation is balanced through the inlet and outlet pressures to ensure the long-term stable operation of the equipment.

[0027] (3) This solution also collects the ambient temperature data of the environment in which the nitrogen production equipment is located through the environmental monitoring module. By drawing the temperature change curve, the maximum and minimum values ​​of the preset temperature threshold range are marked on the y-axis and a horizontal preset straight line is made. According to the relationship between the temperature change curve and the two preset straight lines, it is determined whether the ambient temperature meets the requirements, and the ambient temperature is adjusted according to different judgment results to ensure that the ambient temperature data is in the optimal temperature range and improve the nitrogen production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0029] The following will combine the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0030] Example 1: The present invention discloses a nitrogen production equipment operation monitoring system based on real-time data analysis, please refer to Figure 1 , including equipment operation supervision module, environmental supervision module, finished product quality inspection module, supervision feedback module, and early warning control module. Among them, the finished product quality inspection module is connected to the supervision feedback module in a one-way communication manner, the equipment operation supervision module and the environmental supervision module are both connected to the supervision feedback module in a two-way communication manner, and the supervision feedback module is connected to the early warning control module in a one-way communication manner.

[0031] The finished product quality detection module is used to collect the gas flow information of the nitrogen production equipment, generate the finished product nitrogen purity coefficient according to the gas flow information, judge the finished product nitrogen quality according to the finished product nitrogen purity coefficient, generate the finished product qualified signal and the finished product unqualified signal, and send the finished product unqualified signal to the supervision feedback module;

[0032] The process in which the finished product quality detection module collects the gas flow information of the nitrogen generating equipment and generates the finished product nitrogen purity coefficient includes: collecting the gas inlet information and the gas outlet information at a preset time period within an operation monitoring cycle, the gas inlet information includes the inlet moisture content, the inlet oxygen content and the inlet carbon dioxide content of the discharged gas, and the gas outlet information includes the outlet moisture content, the outlet oxygen content and the outlet carbon dioxide content of the discharged gas;

[0033] The outlet moisture content, outlet oxygen content and outlet carbon dioxide content are summed to obtain the impurity retention rate in the outlet nitrogen. Multiple impurity retention rates within the operation monitoring cycle are obtained at a preset collection interval. The average of all impurity retention rates is calculated to obtain the average impurity retention rate, which is marked as ZC.

[0034] The difference between the inlet water content and the outlet water content, the inlet oxygen content and the outlet oxygen content, and the inlet carbon dioxide content and the outlet carbon dioxide content are calculated respectively, and are marked as water vapor removal rate W, oxygen removal rate O, and carbon dioxide removal rate C, respectively. The water vapor removal rate W, oxygen removal rate O, and carbon dioxide removal rate C are summed to obtain the effective impurity removal rate. Similarly, multiple effective impurity removal rates within the operation monitoring period are obtained at a preset collection interval. The average of all effective impurity removal rates is calculated to obtain the average effective impurity removal rate, which is marked as ZY;

[0035] According to the average impurity retention rate and the average effective impurity removal rate, the finished nitrogen purity coefficient DZX is generated through formula analysis. Where a1 and a2 represent the proportional coefficients of the average effective removal rate of impurities and the average retention rate of impurities, respectively. The greater the average effective removal rate of impurities and the smaller the average retention rate of impurities, the greater the purity coefficient of the finished nitrogen gas generated, indicating that the cleaner the impurities are removed, the higher the purity of the obtained nitrogen gas;

[0036] The process of the finished product quality detection module judging the quality of the finished product nitrogen according to the finished product nitrogen purity coefficient includes: comparing the finished product nitrogen purity coefficient with the preset finished product nitrogen purity coefficient threshold value, when the finished product nitrogen purity coefficient is greater than or equal to the preset finished product nitrogen purity coefficient threshold value, generating a finished product qualified signal, when the finished product nitrogen purity coefficient is less than the preset finished product nitrogen purity coefficient threshold value, generating a finished product unqualified signal.

[0037] The equipment operation monitoring module is used to collect the operating condition data of the nitrogen production equipment and generate the equipment operation status signal by analyzing the operating condition data;

[0038] The specific process includes: collecting the inlet ventilation pressure, outlet ventilation pressure, inlet ventilation volume and outlet ventilation volume of the nitrogen generator at a preset time period within an operation monitoring cycle;

[0039] Calculate the difference between the inlet ventilation pressure and the outlet ventilation pressure to obtain the pressure difference, compare the pressure difference with the preset pressure difference threshold, and when the pressure difference is greater than the preset pressure difference threshold, mark the monitoring point as an abnormal monitoring point, calculate the difference between the pressure difference obtained from all abnormal monitoring points and the preset pressure difference threshold, then sum them up, and then calculate the ratio with the total number of abnormal monitoring points to obtain the pressure abnormality coefficient, marked as PY, and generate a device pressure abnormality signal when the pressure abnormality coefficient is greater than or equal to the preset pressure abnormality coefficient threshold, otherwise, generate a device pressure normal signal;

[0040] The equipment operation supervision module calculates the difference between the inlet ventilation volume and the outlet ventilation volume to obtain the flux difference, compares the flux difference with the preset flux difference threshold, and generates a normal equipment flux signal when the flux difference obtained by all monitoring points is greater than or equal to the preset flux difference threshold. When the flux difference is less than the preset flux difference threshold, the monitoring point is marked as an abnormal monitoring point, and the ratio of the sum of the abnormal monitoring times to the total monitoring times is marked as the flux abnormality coefficient. When the flux abnormality coefficient is less than the preset flux abnormality coefficient, a secondary equipment flux abnormality signal is generated. When the flux abnormality coefficient is greater than or equal to the preset flux abnormality coefficient, a primary equipment flux abnormality signal is generated.

[0041] When the flux difference is smaller or even smaller than the preset flux difference threshold, it means that the inlet gas flow is too large, and small molecules such as oxygen may be discharged through the nitrogen production equipment before being completely adsorbed, increasing the outlet ventilation volume, resulting in a decrease in the purity of nitrogen production. When the flux anomaly coefficient is obtained, it is reflected that during the monitoring period, the inlet gas flow continues to be in the abnormal range value, and the abnormal level is judged according to the size of the flux anomaly coefficient, so as to appropriately adjust the inlet gas flow according to the abnormal level to improve the purity of the outlet nitrogen;

[0042] The equipment operation supervision module sends the equipment pressure abnormal signal, the equipment pressure normal signal, the equipment flux normal signal, the equipment flux level 1 abnormal signal, and the equipment flux level 2 abnormal signal as operation status signals to the supervision feedback unit.

[0043] The environmental monitoring module is used to collect environmental data of the environment in which the nitrogen production equipment is located, and to generate environmental status signals by analyzing the environmental data. The specific process includes: collecting the temperature value of the environment in which the nitrogen production equipment is located at a preset time period within an operation monitoring cycle, creating a rectangular coordinate system with the collection time t as the x-axis and the real-time temperature value as the y-axis, and drawing a temperature change curve in the rectangular coordinate system by plotting points;

[0044] Mark the two edge values ​​of the stored preset temperature threshold interval on the y-axis as the maximum preset temperature value and the minimum preset temperature value, and draw preset straight lines horizontally set to the x-axis from the maximum preset temperature value and the minimum preset temperature value respectively. When the temperature change curve does not intersect the two preset straight lines, it means that all temperature values ​​obtained during the monitoring period are within the preset temperature threshold interval, and a temperature stability signal is generated;

[0045] When the temperature change curve intersects with a preset straight line above, all temperature values ​​and peak temperature values ​​higher than the preset straight line above are obtained, and the peak temperature value is compared with the preset peak temperature threshold. When the peak temperature value is greater than or equal to the preset peak temperature threshold, an over-temperature abnormal signal is generated. When the peak temperature value is less than the preset peak temperature threshold, the total high temperature time corresponding to all temperature values ​​higher than the preset straight line above is obtained, and the total high temperature time is compared with the preset high temperature time. When the total high temperature time is greater than or equal to the preset high temperature time, an over-temperature abnormal signal is generated. When the total high temperature time is less than the preset high temperature time, a temperature stability signal is generated.

[0046] When the temperature change curve intersects with a preset straight line below, all temperature values ​​and trough temperature values ​​below the preset straight line below are obtained, and the trough temperature value is compared with the preset trough temperature threshold. When the trough temperature value is less than or equal to the preset trough temperature threshold, a low temperature abnormal signal is generated. When the trough temperature value is greater than the preset trough temperature threshold, the total low temperature time corresponding to all temperature values ​​below the preset straight line below is obtained, and the total low temperature time is compared with the preset low temperature time. When the total low temperature time is greater than or equal to the preset low temperature time, a low temperature abnormal signal is generated. When the total low temperature time is less than the preset low temperature time, a temperature stability signal is generated.

[0047] For example, during the operation of the nitrogen production equipment, maintaining the optimal temperature range of 20°C to 30°C can optimize the adsorption and desorption cycle of the molecular sieve, while temperatures above the maximum value of the optimal temperature range or below the minimum value of the optimal temperature range, that is, temperatures that are too high or too low, will reduce the nitrogen production efficiency. By drawing a temperature change curve, marking the maximum and minimum values ​​of the preset temperature threshold range on the y-axis and making a horizontal preset straight line, the relationship between the temperature change curve and the two preset straight lines can be used to determine whether the ambient temperature meets the requirements. The ambient temperature can be adjusted according to different determination results to improve the subsequent nitrogen production efficiency.

[0048] The environmental monitoring module sends the temperature stability signal, the over-temperature abnormal signal, and the under-temperature abnormal signal as environmental status signals to the monitoring feedback unit.

[0049] Embodiment 2: After receiving the finished product unqualified signal, the supervision feedback unit obtains the equipment operation status signal through the equipment operation supervision module, obtains the environmental status signal through the environmental supervision module, and comprehensively determines whether the operation status of the nitrogen production equipment meets the requirements based on the equipment operation status signal and the environmental status signal;

[0050] The determination process includes: when any abnormal signal of equipment pressure abnormal signal, equipment flux secondary abnormal signal, or equipment flux primary abnormal signal is obtained, an equipment operation risk signal is generated to determine that the current operation state of the nitrogen making equipment does not meet the requirements; otherwise, an equipment operation normal signal is generated to determine that the current operation state of the nitrogen making equipment meets the requirements;

[0051] The supervision feedback unit sends the equipment operation risk signal to the early warning and control module. After receiving the equipment operation risk signal, the early warning and control module retrieves the various influencing indicator parameters generated by the equipment operation supervision module and the environmental supervision module, and adjusts the operating status and working parameters of the nitrogen control equipment according to different judgment results to ensure efficient and stable operation of the equipment.

[0052] The above are only preferred specific implementation modes of the present invention; however, the protection scope of the present invention is not limited thereto; any technician familiar with the technical field within the technical scope disclosed by the present invention; any equivalent replacement or change based on the technical solution and improved concept of the present invention shall be covered within the protection scope of the present invention.

Claims

1. Nitrogen production equipment operation supervision system based on real-time data analysis, Features: It includes equipment operation supervision module, environmental supervision module, finished product quality inspection module, supervision feedback module, and early warning control module; The finished product quality detection module is used to collect gas circulation information of the nitrogen production equipment, generate a finished product nitrogen purity coefficient according to the gas circulation information, determine the quality of the finished product nitrogen according to the finished product nitrogen purity coefficient, generate a finished product qualified signal and a finished product unqualified signal, and send the finished product unqualified signal to the supervision feedback module; The equipment operation supervision module is used to collect the operating condition data of the nitrogen production equipment, generate an equipment operation status signal by analyzing the operating condition data, and send the equipment operation status signal to the supervision feedback unit; The environmental monitoring module is used to collect environmental data of the environment in which the nitrogen production equipment is located, generate an environmental status signal by analyzing the environmental data, and send the environmental status signal to the monitoring feedback unit; After receiving the finished product unqualified signal, the supervision feedback unit obtains the equipment operation status signal through the equipment operation supervision module, obtains the environmental status signal through the environmental supervision module, and comprehensively determines whether the operation status of the nitrogen production equipment meets the requirements based on the equipment operation status signal and the environmental status signal, and sends the determination result to the early warning control module.

2. According to claim 1, the nitrogen production equipment operation monitoring system based on real-time data analysis, Features: The process of the finished product quality detection module collecting the gas flow information of the nitrogen generating equipment and generating the finished product nitrogen purity coefficient includes: collecting the gas inlet information and the gas outlet information at a preset time period within an operation monitoring cycle, the gas inlet information includes the inlet moisture content, the inlet oxygen content and the inlet carbon dioxide content of the discharged gas, and the gas outlet information includes the outlet moisture content, the outlet oxygen content and the outlet carbon dioxide content of the discharged gas; The outlet moisture content, outlet oxygen content and outlet carbon dioxide content are summed to obtain the impurity retention rate in the outlet nitrogen. Multiple impurity retention rates within the operation monitoring cycle are obtained at a preset collection interval. The average of all impurity retention rates is calculated to obtain the average impurity retention rate, which is marked as ZC. The inlet water content and the outlet water content, the inlet oxygen content and the outlet oxygen content, the inlet carbon dioxide content and the outlet carbon dioxide content are respectively calculated for difference, and are marked as water vapor removal rate W, oxygen removal rate O and carbon dioxide removal rate C, respectively. The water vapor removal rate W, oxygen removal rate O and carbon dioxide removal rate C are summed to obtain the effective removal rate of impurities. Similarly, multiple effective removal rates of impurities within the operation monitoring period are obtained, and the average of all effective removal rates of impurities is calculated to obtain the average effective removal rate of impurities, which is marked as ZY; The average impurity retention rate and the average effective impurity removal rate are calculated by formula to obtain the finished nitrogen purity coefficient DZX.

3. The nitrogen production equipment operation monitoring system based on real-time data analysis according to claim 2, Features: The process of the finished product quality detection module judging the quality of the finished product nitrogen according to the finished product nitrogen purity coefficient includes: comparing the finished product nitrogen purity coefficient with a preset finished product nitrogen purity coefficient threshold, generating a finished product qualified signal when the finished product nitrogen purity coefficient is greater than or equal to the preset finished product nitrogen purity coefficient threshold, and generating a finished product unqualified signal when the finished product nitrogen purity coefficient is less than the preset finished product nitrogen purity coefficient threshold.

4. The nitrogen production equipment operation monitoring system based on real-time data analysis according to claim 1, Features: The process of collecting and analyzing the operating condition data by the equipment operation monitoring module includes: collecting the inlet ventilation pressure, outlet ventilation pressure, inlet ventilation volume and outlet ventilation volume of the nitrogen generator at a preset time period within an operation monitoring cycle; The difference between the inlet ventilation pressure and the outlet ventilation pressure is calculated to obtain the pressure difference, and the pressure difference is compared with the preset pressure difference threshold. When the pressure difference is greater than the preset pressure difference threshold, the monitoring point is marked as an abnormal monitoring point. The pressure difference obtained from all abnormal monitoring points is calculated by difference with the preset pressure difference threshold and then summed up. The pressure anomaly coefficient is then calculated by ratio calculation with the total number of abnormal monitoring points and marked as PY. When the pressure anomaly coefficient is greater than or equal to the preset pressure anomaly coefficient threshold, an equipment pressure anomaly signal is generated. Otherwise, an equipment pressure normal signal is generated.

5. The nitrogen production equipment operation monitoring system based on real-time data analysis according to claim 4, Features: The equipment operation supervision module calculates the difference between the inlet ventilation volume and the outlet ventilation volume to obtain a flux difference, compares the flux difference with a preset flux difference threshold, generates a normal equipment flux signal when the flux difference obtained by all monitoring points is greater than or equal to the preset flux difference threshold, marks the monitoring point as an abnormal monitoring point when the flux difference is less than the preset flux difference threshold, marks the ratio of the sum of the abnormal monitoring times to the total monitoring times as a flux abnormality coefficient, generates a secondary equipment flux abnormality signal when the flux abnormality coefficient is less than the preset flux abnormality coefficient, and generates a primary equipment flux abnormality signal when the flux abnormality coefficient is greater than or equal to the preset flux abnormality coefficient; The equipment operation supervision module sends the equipment pressure abnormal signal, the equipment pressure normal signal, the equipment flux normal signal, the equipment flux level 1 abnormal signal, and the equipment flux level 2 abnormal signal as operation status signals to the supervision feedback unit.

6. The nitrogen production equipment operation monitoring system based on real-time data analysis according to claim 1, Features: The process of collecting and analyzing environmental data by the environmental monitoring module includes: collecting the temperature value of the environment in which the nitrogen production equipment is located at a preset time period within an operation monitoring cycle, creating a rectangular coordinate system with the collection time t as the x-axis and the real-time temperature value as the y-axis, and drawing a temperature change curve by plotting points; Mark the two edge values ​​of the stored preset temperature threshold interval on the y-axis as the maximum preset temperature value and the minimum preset temperature value, draw preset straight lines horizontally set to the x-axis from the maximum preset temperature value and the minimum preset temperature value, and judge whether the temperature value of the environment where the nitrogen production equipment is located meets the requirements by the intersection of the preset straight line and the temperature change curve, and generate a temperature stability signal, an over-temperature abnormal signal, and an over-temperature abnormal signal according to the judgment result; The environmental monitoring module sends the temperature stability signal, the over-temperature abnormal signal, and the under-temperature abnormal signal as environmental status signals to the monitoring feedback unit.

7. The nitrogen production equipment operation monitoring system based on real-time data analysis according to claim 6, Features: After receiving the finished product unqualified signal, the supervision feedback unit generates an equipment operation risk signal when obtaining any abnormal signal of the equipment pressure abnormal signal, the equipment flux secondary abnormal signal, or the equipment flux primary abnormal signal, and determines that the current operating status of the nitrogen production equipment does not meet the requirements. Otherwise, it generates an equipment operation normal signal and determines that the current operating status of the nitrogen production equipment meets the requirements.

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