Online nitrogen generation mobile phone APP remote monitoring system

Abstract

The invention discloses an online nitrogen generation mobile phone APP remote monitoring system, and belongs to the technical field of information remote monitoring. The system comprises an air treatment module, an adsorption nitrogen generation module, a threshold warning module and a separation module. The output end of the air treatment module is connected with the input end of the adsorption nitrogen generation module; the output end of the adsorption nitrogen generation module is connected with the input ends of the threshold warning module and the separation module; the data information of each module is integrated on a display screen of the APP system and is displayed on an administrator port in a visual form, the administrator port further comprises an instruction module used for issuing instruction requirements for manufacturing nitrogen, and the instruction requirements comprise a nitrogen mass ratio and a nitrogen purity ratio. Based on the system, intelligent application of the same nitrogen making machine in different factories and digital adjustment under different nitrogen making precision requirements can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of information remote monitoring, and in particular to an online nitrogen production mobile phone APP remote monitoring system. Background Art

[0002] Nitrogen is the carrier of oxygen that sustains life on Earth, and its series of properties make it an ideal choice for many industrial applications. As an inert gas, nitrogen reacts slowly with other substances, making it an ideal choice for industries that must prevent slow oxidation (for example, corrosion of circuit boards in the electronics industry) or rapid oxidation (for example, explosions or fires). Therefore, the manufacturing industry is generally equipped with nitrogen generators, and the raw material used by nitrogen generators is usually dry air. However, due to the different drying ratios of different factories, the dry air input is different, so even the same nitrogen generator cannot form nitrogen of the same purity or quality under the same conditions, resulting in the company's inability to form a professional ratio for the pressure and flow of the nitrogen generator in the early stage of use; In addition, in the later stage of use, with the different applications in various occasions, the purity requirements for nitrogen are also different. High-precision purity often depends on fine condition ratios and automatic adjustment, and the current nitrogen generator remote monitoring system often stops at the monitoring of some basic data and lacks intelligent adjustment. Summary of the invention

[0003] The purpose of the present invention is to provide an online nitrogen production mobile phone APP remote monitoring system to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an online nitrogen production mobile phone APP remote monitoring system, the system includes an air treatment module, an adsorption nitrogen production module, a threshold warning module and a separation module; The air processing module is used to construct a unified air drying standard, process the input air, and form a unified standard air; the adsorption nitrogen production module is used to adsorb the dry compressed air to form a layer of nitrogen and other gases, and finally output nitrogen that meets the instruction requirements; the threshold warning module is used to monitor the pressure and flow value during the nitrogen production process, and activate the alarm mechanism when the threshold is exceeded; the separation module is used to absorb and store impurity gases; The output end of the air treatment module is connected to the input end of the adsorption nitrogen production module; the output end of the adsorption nitrogen production module is connected to the input end of the threshold warning module and the separation module; The data information of each module is integrated on the APP system display screen and displayed in a visual form on the administrator port. The administrator port also includes an instruction module for issuing instruction requirements for manufacturing nitrogen, and the instruction requirements include nitrogen mass ratio and nitrogen purity ratio.

[0005] According to the above technical solution, the unified air drying standard includes relative humidity, dew point temperature, moisture content and impurity content; Each standard is set by the dryer and will not be changed after setting, ensuring that the input air is at a uniform standard.

[0006] According to the above technical solution, the adsorption nitrogen production module includes a first screen unit, a flow monitoring unit and a data feedback unit; The first screen unit is used to construct a screen with several holes, the aperture size is set to allow oxygen molecules to pass through, but not allow nitrogen molecules to pass through, forming a first layer of screening, the screened nitrogen molecules enter the data feedback unit, and the remaining gases enter the flow monitoring unit; the flow monitoring unit is used to control the flow of the remaining gases, which is fed back to the first screen unit, and the pressure is released by discharging oxygen to the separation module, so that the carbon molecular sieve loses the ability to accommodate oxygen molecules, and the oxygen molecules are separated from the screen, so that they are taken away by the flow of the remaining gases, and the screen is cleaned; the data feedback unit is used to feedback the quality and purity of the manufactured nitrogen to the comparison processing unit and the administrator port according to the time period; The first screen unit is connected to the flow monitoring unit; the output end of the first screen unit is connected to the input end of the data feedback unit.

[0007] According to the above technical solution, the flow monitoring unit includes a data monitoring unit and a control unit; The data monitoring unit is used to display the flow rate and flow rate of the remaining gases; the control unit is used to adjust the flow rate and flow rate of the remaining gases according to the instructions issued by the administrator port; The data monitoring unit is connected to the control unit.

[0008] According to the above technical solution, the comparison processing unit is used to receive the instruction requirements of the administrator port. If the nitrogen quality and purity fed back by the data feedback unit do not meet the instruction requirements, a comparison analysis is performed to form the air pressure and flow value of a new cycle, which are fed back to the administrator port for confirmation; if the nitrogen quality and purity fed back by the data feedback unit meet the instruction requirements, the nitrogen that meets the conditions is stored in the container.

[0009] According to the above technical solution, the comparative analysis includes: Construct an error system, wherein the error system refers to nitrogen production based on the nameplate marking of the nitrogen generator, using the air pressure and flow value marked on the nameplate, and using the data feedback unit for periodic monitoring, setting N cycles, and taking the mode of the purity or quality under N cycles as the nitrogen production index value under the air pressure and flow value marked on the nameplate, where N refers to a constant set by the system; At the same time, based on each nitrogen production index value, the difference between other data and the nitrogen production index value under the same air pressure and flow value is calculated to form an average value; if there are multiple nameplates with air pressure and flow values, the difference under all nameplates with air pressure and flow values ​​is calculated, and then the average value is calculated; The output average value is recorded as the sieve error value under the error system, and the sieve error value includes mass error and purity error.

[0010] According to the above technical solution, it also includes: constructing an initial training set, wherein the initial training set includes the purity and quality of nitrogen production corresponding to each set of air pressure and flow values ​​in the database; in the initial state, using multiple nameplates to mark air pressure and flow values ​​as the basic database, and each time a complete nitrogen production is performed, the air pressure and flow value data corresponding to the purity and quality of nitrogen production are added to the database; Performing data analysis on any one of the nitrogen production indicators A, wherein the nitrogen production indicators include purity and quality; Based on the initial training set, a weak learner is constructed, which can meet the fitting between the nitrogen production index A and the air pressure and flow value, and is recorded as the initial function F0; a loss function is formed for the initial function F0, and the weak learner corresponding to the minimum loss function is used as the initialization weak learner of the initial training set; Construct a negative gradient processing formula to form a negative gradient for each data sample i in the initial training set :

[0011] in, is the value of data sample i, for The corresponding loss function; in, Use the model of the previous round of learners; t represents the current number of iterations; Refers to differential; Use regression tree to fit, form the best fitting value, and build a strong learner based on the best fitting value:

[0012] in, represents the strong learner obtained in the tth round of iteration; Represents the learner of the previous round; represents the best fitting value; j and J represent the leaf nodes and leaf regions on the regression tree respectively; I represents the best fitting value Combination, represents the decision tree fitting function of this round; The construction of the regression tree includes: The negative gradient under each iteration forms a regression tree, and the leaf node area of ​​the tth regression tree is recorded as , then the best fitting value The calculations include:

[0013] Where c represents a constant; represent The loss function corresponding to the t-1th round; Based on the input nitrogen production index A, the corresponding air pressure and flow value are formed, nitrogen is produced based on the air pressure and flow value formed for the first time, and whether the actual nitrogen production index formed is within the qualified range is obtained; The qualified scope refers to , K refers to the screen error value; if it meets the requirements, nitrogen production will continue; if it does not meet the requirements, reorganization will be carried out; According to the above technical solution, the reorganization includes: The air pressure and flow values ​​formed for the first time and the actual nitrogen production index are obtained as a new data set, which are sent to the database, the initial training set is reconstructed, and a set of air pressure and flow values ​​are output again as the first air pressure and flow values; At the same time, the air pressure and flow values ​​formed for the first time and the actual nitrogen production index are used as the target group and the nitrogen production index under the air pressure and flow values ​​marked on the nameplate are linearly fitted, and the linear fitting includes: Take a set of nameplate data closest to the current air pressure and flow value to form two coordinate points ,in, , Refers to the closest set of nameplate data, the air pressure or flow value in the first formed data respectively; , They respectively refer to the nitrogen production index of the closest set of nameplate marked data and the actual nitrogen production index under the air pressure and flow value formed for the first time; a set of linear fitting straight lines is formed, and based on the input nitrogen production index A, a set of air pressure and flow values ​​are output and recorded as the second air pressure and flow value; The midpoint value of the first air pressure and flow value and the second air pressure and flow value is taken as the next input value to produce nitrogen again; The cycle is repeated until the nitrogen production result meets the nitrogen production index A.

[0014] According to the above technical solution, the threshold warning module is also connected to the comparison processing unit to receive the air pressure and flow value of a new cycle fed back by the comparison processing unit each time. If the fed back air pressure and flow value of a new cycle exceed the set air pressure threshold or flow value threshold, an alarm mechanism is formed to feed back to the administrator port.

[0015] According to the above technical solution, the separation module includes an impurity separation unit and a storage unit; The impurity separation unit is used to receive the separated other gas components and set a detection device to determine whether harmful gases are formed. If formed, feedback warning information to the administrator port; the storage unit is used to store other gas components when no harmful gases are formed and process them uniformly; The output end of the impurity separation unit is connected to the input end of the storage unit.

[0016] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention can solve the problem that the pressure and flow of the nitrogen generator cannot be professionally proportioned in the early stage of use, thereby improving production efficiency; at the same time, it can solve the problem of high-precision purity automatic adjustment in the later stage of use, thereby enabling enterprises to independently produce nitrogen efficiently, and at the same time, it is equipped with a high-performance display system to realize online monitoring through a mobile phone APP, saving manpower and material resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a module schematic diagram of an online nitrogen production mobile phone APP remote monitoring system of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with 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 of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1 , in this embodiment: an online nitrogen production mobile phone APP remote monitoring system is provided, the system includes an air treatment module, an adsorption nitrogen production module, a threshold warning module and a separation module; The air processing module is used to construct a unified air drying standard, process the input air, and form a unified standard air; the adsorption nitrogen production module is used to adsorb the dry compressed air to form a layer of nitrogen and other gases, and finally output nitrogen that meets the instruction requirements; the threshold warning module is used to monitor the pressure and flow value during the nitrogen production process, and activate the alarm mechanism when the threshold is exceeded; the separation module is used to absorb and store impurity gases; The output end of the air treatment module is connected to the input end of the adsorption nitrogen production module; the output end of the adsorption nitrogen production module is connected to the input end of the threshold warning module and the separation module; The data information of each module is integrated on the APP system display screen and displayed in a visual form on the administrator port. The administrator port also includes an instruction module for issuing instruction requirements for manufacturing nitrogen, and the instruction requirements include nitrogen mass ratio and nitrogen purity ratio.

[0020] The unified air drying standard includes relative humidity, dew point temperature, moisture content and impurity content; Each standard is set by the dryer and will not be changed after setting, ensuring that the input air is at a uniform standard.

[0021] The adsorption nitrogen production module includes a first screen unit, a flow monitoring unit and a data feedback unit; The first screen unit is used to construct a screen with several holes, the aperture size is set to allow oxygen molecules to pass through, but not allow nitrogen molecules to pass through, forming a first layer of screening, the screened nitrogen molecules enter the data feedback unit, and the remaining gases enter the flow monitoring unit; the flow monitoring unit is used to control the flow of the remaining gases, which is fed back to the first screen unit, and the pressure is released by discharging oxygen to the separation module, so that the carbon molecular sieve loses the ability to accommodate oxygen molecules, and the oxygen molecules are separated from the screen, so that they are taken away by the flow of the remaining gases, and the screen is cleaned; the data feedback unit is used to feedback the quality and purity of the manufactured nitrogen to the comparison processing unit and the administrator port according to the time period; The first screen unit is connected to the flow monitoring unit; the output end of the first screen unit is connected to the input end of the data feedback unit.

[0022] The flow monitoring unit includes a data monitoring unit and a control unit; The data monitoring unit is used to display the flow rate and flow rate of the remaining gases; the control unit is used to adjust the flow rate and flow rate of the remaining gases according to the instructions issued by the administrator port; The data monitoring unit is connected to the control unit.

[0023] The comparison processing unit is used to receive the instruction requirements of the administrator port. If the nitrogen quality and purity fed back by the data feedback unit do not meet the instruction requirements, a comparison analysis is performed to form the air pressure and flow value of a new cycle, which are fed back to the administrator port for confirmation; if the nitrogen quality and purity fed back by the data feedback unit meet the instruction requirements, the nitrogen that meets the conditions is stored in the container.

[0024] The comparative analysis includes: Construct an error system, wherein the error system refers to nitrogen production based on the nameplate marking of the nitrogen generator, using the air pressure and flow value marked on the nameplate, and using the data feedback unit for periodic monitoring, setting N cycles, and taking the mode of the purity or quality under N cycles as the nitrogen production index value under the air pressure and flow value marked on the nameplate, where N refers to a constant set by the system; At the same time, based on each nitrogen production index value, the difference between other data and the nitrogen production index value under the same air pressure and flow value is calculated to form an average value; if there are multiple nameplates with air pressure and flow values, the difference under all nameplates with air pressure and flow values ​​is calculated, and then the average value is calculated; The output average value is recorded as the sieve error value under the error system, and the sieve error value includes mass error and purity error.

[0025] The method also includes: constructing an initial training set, wherein the initial training set includes the purity and quality of nitrogen production corresponding to each set of air pressure and flow values ​​in the database; in an initial state, using a plurality of nameplates to mark air pressure and flow values ​​as a basic database, and each time a complete nitrogen production is performed, the air pressure and flow value data corresponding to the purity and quality of nitrogen production are added to the database; Performing data analysis on any one of the nitrogen production indicators A, wherein the nitrogen production indicators include purity and quality; Based on the initial training set, a weak learner is constructed, which can meet the fitting between the nitrogen production index A and the air pressure and flow value, and is recorded as the initial function F0; a loss function is formed for the initial function F0, and the weak learner corresponding to the minimum loss function is used as the initialization weak learner of the initial training set; Construct a negative gradient processing formula to form a negative gradient for each data sample i in the initial training set :

[0026] in, is the value of data sample i, for The corresponding loss function; in, Use the model of the previous round of learners; t represents the current number of iterations; Refers to differential; Use regression tree to fit, form the best fitting value, and build a strong learner based on the best fitting value:

[0027] in, represents the strong learner obtained in the tth round of iteration; Represents the learner of the previous round; represents the best fitting value; j and J represent the leaf nodes and leaf regions on the regression tree respectively; I represents the best fitting value Combination, represents the decision tree fitting function of this round; The construction of the regression tree includes: The negative gradient under each iteration forms a regression tree, and the leaf node area of ​​the tth regression tree is recorded as , then the best fitting value The calculations include:

[0028] Where c represents a constant; represent The loss function corresponding to the t-1th round; Based on the input nitrogen production index A, the corresponding air pressure and flow value are formed, nitrogen is produced based on the air pressure and flow value formed for the first time, and whether the actual nitrogen production index formed is within the qualified range is obtained; The qualified scope refers to , K refers to the screen error value; if it meets the requirements, nitrogen production will continue; if it does not meet the requirements, reorganization will be carried out; The reorganization includes: The air pressure and flow values ​​formed for the first time and the actual nitrogen production index are obtained as a new data set, which are sent to the database, the initial training set is reconstructed, and a set of air pressure and flow values ​​are output again as the first air pressure and flow values; At the same time, the air pressure and flow values ​​formed for the first time and the actual nitrogen production index are used as the target group and the nitrogen production index under the air pressure and flow values ​​marked on the nameplate are linearly fitted, and the linear fitting includes: Take a set of nameplate data closest to the current air pressure and flow value to form two coordinate points ,in, , Refers to the closest set of nameplate data, the air pressure or flow value in the first formed data respectively; , They respectively refer to the nitrogen production index of the closest set of nameplate marked data and the actual nitrogen production index under the air pressure and flow value formed for the first time; a set of linear fitting straight lines is formed, and based on the input nitrogen production index A, a set of air pressure and flow values ​​are output and recorded as the second air pressure and flow value; The midpoint value of the first air pressure and flow value and the second air pressure and flow value is taken as the next input value to produce nitrogen again; The cycle is repeated until the nitrogen production result meets the nitrogen production index A.

[0029] The threshold warning module is also connected to the comparison processing unit to receive the air pressure and flow value of a new cycle fed back by the comparison processing unit each time. If the fed back air pressure and flow value of a new cycle exceed the set air pressure threshold or flow value threshold, an alarm mechanism is formed to feed back to the administrator port.

[0030] The separation module includes an impurity separation unit and a storage unit; The impurity separation unit is used to receive the separated other gas components and set a detection device to determine whether harmful gases are formed. If formed, feedback warning information to the administrator port; the storage unit is used to store other gas components when no harmful gases are formed and process them uniformly; The output end of the impurity separation unit is connected to the input end of the storage unit.

[0031] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0032] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An online nitrogen production mobile phone APP remote monitoring system, characterized by: The system includes an air treatment module, an adsorption nitrogen production module, a threshold warning module and a separation module; The air processing module is used to construct a unified air drying standard, process the input air, and form a unified standard air; the adsorption nitrogen production module is used to adsorb the dry compressed air to form a layer of nitrogen and other gases, and finally output nitrogen that meets the instruction requirements; the threshold warning module is used to monitor the pressure and flow value during the nitrogen production process, and activate the alarm mechanism when the threshold is exceeded; the separation module is used to absorb and store impurity gases; The output end of the air treatment module is connected to the input end of the adsorption nitrogen production module; the output end of the adsorption nitrogen production module is connected to the input end of the threshold warning module and the separation module; The data information of each module is integrated on the APP system display screen and displayed in a visual form on the administrator port. The administrator port also includes an instruction module for issuing instruction requirements for manufacturing nitrogen, and the instruction requirements include nitrogen mass ratio and nitrogen purity ratio.

2. According to claim 1, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The unified air drying standard includes relative humidity, dew point temperature, moisture content and impurity content; Each standard is set by the dryer and will not be changed after setting, ensuring that the input air is at a uniform standard.

3. According to claim 1, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The adsorption nitrogen production module includes a first screen unit, a flow monitoring unit and a data feedback unit; The first screen unit is used to construct a screen with several holes, the aperture size is set to allow oxygen molecules to pass through, but not allow nitrogen molecules to pass through, forming a first layer of screening, the screened nitrogen molecules enter the data feedback unit, and the remaining gases enter the flow monitoring unit; the flow monitoring unit is used to control the flow of the remaining gases, which is fed back to the first screen unit, and the pressure is released by discharging oxygen to the separation module, so that the carbon molecular sieve loses the ability to accommodate oxygen molecules, so that the oxygen molecules are separated from the screen, and are taken away by the flow of the remaining gases to clean the screen; The data feedback unit is used to feed back the quality and purity of the nitrogen produced to the comparison processing unit and the administrator port according to a time period; The first screen unit is connected to the flow monitoring unit; the output end of the first screen unit is connected to the input end of the data feedback unit.

4. According to claim 3, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The flow monitoring unit includes a data monitoring unit and a control unit; The data monitoring unit is used to display the flow rate and flow rate of the remaining gases; the control unit is used to adjust the flow rate and flow rate of the remaining gases according to the instructions issued by the administrator port; The data monitoring unit is connected to the control unit.

5. According to claim 3, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The comparison processing unit is used to receive the instruction requirements of the administrator port. If the nitrogen quality and purity fed back by the data feedback unit do not meet the instruction requirements, a comparison analysis is performed to form the air pressure and flow value of a new cycle, which are fed back to the administrator port for confirmation; if the nitrogen quality and purity fed back by the data feedback unit meet the instruction requirements, the nitrogen that meets the conditions is stored in the container.

6. According to claim 5, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The comparative analysis includes: Construct an error system, wherein the error system refers to nitrogen production based on the nameplate marking of the nitrogen generator, using the air pressure and flow value marked on the nameplate, and using the data feedback unit for periodic monitoring, setting N cycles, and taking the mode of the purity or quality under N cycles as the nitrogen production index value under the air pressure and flow value marked on the nameplate, where N refers to a constant set by the system; At the same time, based on each nitrogen production index value, the difference between other data and the nitrogen production index value under the same air pressure and flow value is calculated to form an average value; if there are multiple nameplates with air pressure and flow values, the difference under all nameplates with air pressure and flow values ​​is calculated, and then the average value is calculated; The output average value is recorded as the sieve error value under the error system, and the sieve error value includes mass error and purity error.

7. According to claim 6, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: Also includes: Constructing an initial training set, wherein the initial training set includes the nitrogen production purity and quality corresponding to each set of air pressure and flow values ​​in the database; In the initial state, the air pressure and flow values ​​marked on multiple nameplates are used as the basic database. After each complete nitrogen production, the air pressure and flow value data corresponding to the purity and quality of the nitrogen production are added to the database; Performing data analysis on any one of the nitrogen production indicators A, wherein the nitrogen production indicators include purity and quality; Based on the initial training set, a weak learner is constructed, which can meet the fitting between the nitrogen production index A and the air pressure and flow value, and is recorded as the initial function F0; a loss function is formed for the initial function F0, and the weak learner corresponding to the minimum loss function is used as the initialization weak learner of the initial training set; Construct a negative gradient processing formula to form a negative gradient for each data sample i in the initial training set : in, is the value of data sample i, for The corresponding loss function; in, Use the model of the previous round of learners; t represents the current number of iterations; Refers to differential; Use regression tree to fit, form the best fitting value, and build a strong learner based on the best fitting value: in, represents the strong learner obtained in the tth round of iteration; Represents the learner of the previous round; represents the best fitting value; j and J represent the leaf nodes and leaf regions on the regression tree respectively; I represents the best fitting value Combination, represents the decision tree fitting function of this round; The construction of the regression tree includes: The negative gradient under each iteration forms a regression tree, and the leaf node area of ​​the tth regression tree is recorded as , then the best fitting value The calculations include: Where c represents a constant; represent The loss function corresponding to the t-1th round; Based on the input nitrogen production index A, the corresponding air pressure and flow value are formed, nitrogen is produced based on the air pressure and flow value formed for the first time, and whether the actual nitrogen production index formed is within the qualified range is obtained; The qualified scope refers to , K refers to the screen error value; if it is satisfied, nitrogen production will continue; if it is not satisfied, reorganization will be carried out again.

8. According to claim 7, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The reorganization includes: The air pressure and flow values ​​formed for the first time and the actual nitrogen production index are obtained as a new data set, which are sent to the database, the initial training set is reconstructed, and a set of air pressure and flow values ​​are output again as the first air pressure and flow values; At the same time, the air pressure and flow values ​​formed for the first time and the actual nitrogen production index are used as the target group and the nitrogen production index under the air pressure and flow values ​​marked on the nameplate are linearly fitted, and the linear fitting includes: Take a set of nameplate data closest to the current air pressure and flow value to form two coordinate points ,in, , Refers to the closest set of nameplate data, the air pressure or flow value in the first formed data respectively; , They respectively refer to the nitrogen production index of the closest set of nameplate marked data and the actual nitrogen production index under the air pressure and flow value formed for the first time; a set of linear fitting straight lines is formed, and based on the input nitrogen production index A, a set of air pressure and flow values ​​are output and recorded as the second air pressure and flow value; The midpoint value of the first air pressure and flow value and the second air pressure and flow value is taken as the next input value to produce nitrogen again; The cycle is repeated until the nitrogen production result meets the nitrogen production index A.

9. According to claim 1, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The threshold warning module is also connected to the comparison processing unit to receive the air pressure and flow value of a new cycle fed back by the comparison processing unit each time. If the fed back air pressure and flow value of a new cycle exceed the set air pressure threshold or flow value threshold, an alarm mechanism is formed to feed back to the administrator port.

10. According to claim 1, an online nitrogen production mobile phone APP remote monitoring system is characterized in that: The separation module includes an impurity separation unit and a storage unit; The impurity separation unit is used to receive the separated other gas components and set a detection device to determine whether harmful gases are formed. If formed, feedback warning information to the administrator port; the storage unit is used to store other gas components when no harmful gases are formed and process them uniformly; The output end of the impurity separation unit is connected to the input end of the storage unit.

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