CN115067387A - Remote intelligent control system of nitrogen production system - Google Patents
Remote intelligent control system of nitrogen production system Download PDFInfo
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- CN115067387A CN115067387A CN202210856645.XA CN202210856645A CN115067387A CN 115067387 A CN115067387 A CN 115067387A CN 202210856645 A CN202210856645 A CN 202210856645A CN 115067387 A CN115067387 A CN 115067387A
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- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23B—PRESERVING, e.g. BY CANNING, MEAT, FISH, EGGS, FRUIT, VEGETABLES, EDIBLE SEEDS; CHEMICAL RIPENING OF FRUIT OR VEGETABLES; THE PRESERVED, RIPENED, OR CANNED PRODUCTS
- A23B9/00—Preservation of edible seeds, e.g. cereals
- A23B9/16—Preserving with chemicals
- A23B9/18—Preserving with chemicals in the form of gases, e.g. fumigation; Compositions or apparatus therefor
- A23B9/20—Preserving with chemicals in the form of gases, e.g. fumigation; Compositions or apparatus therefor in a controlled atmosphere, e.g. partial vacuum, comprising only CO2, N2, O2 or H2O
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- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a remote intelligent control system of a nitrogen production system, relates to the technical field of intelligent control, and solves the technical problem that the control efficiency of the nitrogen production system is low because the environment of a storage space can not be accurately evaluated only by identifying the environment of the storage space through the oxygen concentration acquired in real time in the prior art; according to the invention, the environmental data in the storage space is acquired according to the data acquisition signal, whether the environment is abnormal or not is evaluated according to the environmental data, once the environment of the storage space is abnormal, the running time of the nitrogen production equipment is acquired according to the nitrogen demand or the nitrogen diffusion principle, the accurate and efficient control of the nitrogen production equipment is realized, and the cost can be reduced; when the nitrogen distribution of the storage space is simulated, the working time can be calculated by acquiring the required amount of the nitrogen, and the operation of the nitrogen making equipment can be controlled according to the working time to ensure the control; and the simulated diffusion parameters can be obtained according to the simulated prediction model, so that the control on the nitrogen production equipment is realized, and the control precision can be ensured.
Description
Technical Field
The invention belongs to the field of intelligent control, relates to a remote intelligent control technology of a nitrogen production system, and particularly relates to a remote intelligent control system of the nitrogen production system.
Background
The nitrogen making system can generate high-purity nitrogen, and the nitrogen is filled into the storage space with good air tightness through the nitrogen conveying pipeline, so that the nitrogen concentration in the storage space is kept at a high level for a long time, and a low-oxygen environment suitable for storing grains, fruits, vegetables and the like is formed.
The prior art (utility model with application number 2020215963188) discloses a mobile nitrogen making equipment intelligent control system of granary, realizes granary one-key formula nitrogen filling through the relevant parameter of remote input, can use manpower sparingly and practice thrift the cost. In the prior art, the environment of the storage space is identified only through the oxygen concentration acquired in real time, and the environment of the storage space cannot be accurately evaluated, so that the remote control efficiency of a nitrogen making system is low; therefore, a remote intelligent control system for nitrogen production system is needed.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a remote intelligent control system of a nitrogen production system, which is used for solving the technical problem that the remote control efficiency of the nitrogen production system is low because the environment of a storage space cannot be accurately evaluated only by identifying the environment of the storage space through the oxygen concentration acquired in real time in the prior art.
According to the invention, after the data sensor collects the environmental data, the environmental data is evaluated through the controlled atmosphere control module, when the storage environment is abnormal, the environmental data in a plurality of space sub-areas are analyzed, the operation of the nitrogen making equipment is controlled according to the analysis result, the control efficiency of the nitrogen making equipment is improved, and the energy consumption is reduced.
In order to achieve the above object, a first aspect of the present invention provides a remote intelligent control system for a nitrogen production system, including a controlled atmosphere control module, and a nitrogen production device and a plurality of data sensors connected thereto, where the plurality of data sensors are disposed in a storage space, and the nitrogen production device provides nitrogen gas for the storage space;
a number of data sensors: starting data acquisition based on a data acquisition signal, acquiring environmental data in the storage space and sending the environmental data to the controlled atmosphere control module; wherein the environmental data includes pressure, temperature, nitrogen concentration, and oxygen concentration;
an air conditioning control module: modeling the storage space to obtain a corresponding space three-dimensional model, and dividing the space three-dimensional model into a plurality of space sub-regions according to a standard volume; and
evaluating the storage environment of the storage space according to the environment data; and when the storage environment is abnormal, controlling the operation of the nitrogen production equipment by combining the analysis of a plurality of space subregions.
Preferably, the modified atmosphere control module is in communication and/or electrical connection with the nitrogen generating equipment and the plurality of data sensors, respectively;
the data sensors are uniformly arranged in the storage space, and the nitrogen making equipment is connected with the storage space through a gas pipeline.
Preferably, the data sensors are flexibly installed behind the storage space and connected with the controlled atmosphere control module;
the controlled atmosphere control module detects the working state of the equipment connected with the controlled atmosphere control module, and when the working state is normal, the controlled atmosphere control module sends data acquisition signals to the data sensors.
Preferably, the modeling division of the storage space by the modified atmosphere control module to obtain a plurality of spatial sub-regions includes:
acquiring basic space parameters of the storage space through field measurement or design drawings;
constructing the corresponding space three-dimensional model based on the basic space parameters;
and setting a standard volume according to the space three-dimensional model, and dividing the space three-dimensional model by taking the standard volume as a reference to obtain a plurality of space sub-regions.
Preferably, the modified atmosphere control module estimates the storage environment of the storage space by combining the set storage parameters, and includes:
acquiring set storage parameters; wherein the storage parameters are set based on the storage item and include an oxygen concentration and a nitrogen concentration;
and acquiring the environment data corresponding to the storage space, and comparing the environment data with the storage parameters to judge whether the corresponding storage environment is abnormal or not.
Preferably, when the storage environment is abnormal, the modified atmosphere control module controls the operation of the nitrogen plant, including:
analyzing the nitrogen demand of the corresponding storage space based on the environmental data;
combining the nitrogen demand with the working efficiency of the nitrogen making equipment to obtain the working time;
controlling the nitrogen making equipment to run, and when the running time reaches the working time, controlling the nitrogen making equipment to stop running;
re-evaluating the storage environment after the nitrogen plant is shut down.
Preferably, when the storage environment is abnormal, the operation of the nitrogen production equipment is controlled by combining the nitrogen diffusion principle, and the method comprises the following steps:
establishing a simulation prediction model according to a nitrogen diffusion principle; wherein the simulation prediction model is established based on an artificial intelligence model;
marking at least one space subregion connected with a gas transmission pipeline as an initial region, and marking at least one space subregion farthest away from the initial region as a target region;
acquiring environmental data of the storage space, and extracting model input data by combining an initial region and a target region; inputting the model input data into the simulation prediction model to obtain an output simulation diffusion parameter;
and controlling the nitrogen making equipment to operate according to the simulated diffusion parameters.
Preferably, when the initial region and the target region include a plurality of spatial sub-regions, the plurality of spatial sub-regions in the initial region are combined to form a new initial region, and the plurality of spatial sub-regions in the target region are combined to form a new target region.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method and the device, the environmental data in the storage space are acquired according to the data acquisition signals, whether the environment is abnormal or not is evaluated according to the environmental data, once the environment of the storage space is abnormal, the running time of the nitrogen production equipment is acquired according to the nitrogen demand or the nitrogen diffusion principle, the accurate and efficient control of the nitrogen production equipment is realized, and the cost can be reduced.
2. When the nitrogen distribution of the storage space is simulated, the working time can be calculated by acquiring the required amount of the nitrogen, and the operation of the nitrogen making equipment can be controlled according to the working time to ensure the control; and the simulated diffusion parameters can be obtained according to the simulated prediction model, so that the control on the nitrogen production equipment is realized, and the control precision can be ensured.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of the working steps of the present invention;
FIG. 3 is a first schematic diagram illustrating the positions of the initial region and the target region according to the present invention;
fig. 4 is a schematic diagram of the positions of the initial region and the target region according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The prior art only identifies the environment of the storage space through a gas sample extracted from the storage space, the environment of the storage space cannot be accurately evaluated, and certain delay exists in controlling the nitrogen production equipment according to the evaluation result of the prior art, so that the remote control efficiency of the nitrogen production system is low.
The method and the device collect the environmental data in the storage space in a timing or real-time manner, evaluate whether the environment is abnormal or not according to the environmental data, and obtain the running time of the nitrogen making equipment according to the nitrogen demand or the nitrogen diffusion principle once the environment of the storage space is abnormal, thereby realizing the accurate and efficient control of the nitrogen making equipment.
The embodiment of the first aspect of the invention provides a remote intelligent control system of a nitrogen production system, comprising: the nitrogen production system comprises a controlled atmosphere control module, and nitrogen production equipment and a plurality of data sensors which are connected with the controlled atmosphere control module, wherein the data sensors are arranged in a storage space, and the nitrogen production equipment provides nitrogen for the storage space;
a number of data sensors: starting data acquisition based on a data acquisition signal, acquiring environmental data in the storage space and sending the environmental data to the controlled atmosphere control module;
the air conditioning control module: modeling the storage space to obtain a corresponding space three-dimensional model, and dividing the space three-dimensional model into a plurality of space sub-regions according to a standard volume; evaluating the storage environment of the storage space according to the environment data; and when the storage environment is abnormal, controlling the operation of the nitrogen production equipment by combining the analysis of a plurality of space subregions.
The controlled atmosphere control module in the application of the invention is equivalent to a server and is used for analyzing various collected data and controlling the operation of nitrogen making equipment. The gas-conditioning control module can be connected with an intelligent terminal to realize remote control, and the intelligent terminal mainly comprises an intelligent mobile phone and a computer. The nitrogen making system is nitrogen making equipment, comprises a whole set of nitrogen making equipment with a nitrogen making machine, and the nitrogen making equipment is controlled to operate by a controlled atmosphere control module and transmits the generated nitrogen to a storage space. The storage space depends on a nitrogen-making system for environmental regulation, and mainly comprises a warehouse which is used for storing grains, fruits and vegetables and has better sealing property.
The data sensor in the application of the invention comprises an oxygen sensor, a nitrogen sensor, a temperature sensor and a humidity sensor, and is mainly used for accurately measuring environmental data in a storage space and laying a data foundation for remote control of nitrogen making equipment.
Referring to fig. 1, the modified atmosphere control module in the present application is in communication and/or electrical connection with the nitrogen generating equipment and the plurality of data sensors, respectively; the data sensors are uniformly arranged in the storage space, and the nitrogen making equipment is connected with the storage space through a gas pipeline.
The modified atmosphere control module acquires relevant data of the storage space through the data sensor, and can send various signals to the data sensor to control the operation of the data sensor. The modified atmosphere control module is required to detect the operating state of the nitrogen plant and send control signals to control the operation of the nitrogen plant. The nitrogen making equipment is mainly used for conveying nitrogen to the storage space according to the control of the air-conditioning control module.
It can be understood that, in order to ensure the accuracy of the environmental data, the data sensors should be uniformly arranged inside the storage space, and the data sensors may be arranged according to a fixed spacing distance, or may be uniformly arranged according to the collection range of each data sensor, and the final purpose is to ensure that the collection range of the data sensors covers the whole storage space.
Referring to fig. 2, the method for remotely controlling the nitrogen generating equipment according to the present invention includes the following steps:
s101: establishing connection between a plurality of flexibly arranged data sensors and the controlled atmosphere control module, detecting the working state of equipment through the controlled atmosphere control module, and generating a data acquisition signal when the working state is normal;
s102: the data sensors start data acquisition based on the data acquisition signals, acquire environmental data in the storage space and send the environmental data to the controlled atmosphere control module;
s103: the air-conditioning control module divides the space three-dimensional model into a plurality of space sub-regions, and when the storage environment is abnormal, the air-conditioning control module is combined with the space sub-regions to control the nitrogen making equipment to operate.
According to the invention, after a plurality of data sensors are flexibly installed in the storage space, connection is established with the controlled atmosphere control module; the controlled atmosphere control module detects the working state of the equipment connected with the controlled atmosphere control module, and when the working state is normal, the controlled atmosphere control module sends data acquisition signals to the data sensors.
In consideration of the portability of the remote control system, the data sensors can be designed to be installed in a modular mode, namely the data sensors can be installed and disassembled at any time through the installation base, and when certain storage space is not needed, the data sensors can be transplanted to other storage spaces so as to reduce the equipment cost.
After the flexible installation of the data sensor is completed, the working state of each device, such as the data sensor, the nitrogen making device and other necessary devices, is detected through the air-conditioning control module, and if the working state of each device is normal, a data acquisition signal is generated and sent; otherwise, an early warning should be sent out aiming at the equipment with abnormal working state so as to prevent maintenance personnel from being capable of maintaining in time.
The data sensor carries out data acquisition work after receiving the data acquisition signal, acquires the environmental data of the storage space and sends the environmental data to the controlled atmosphere control module, and the environmental data are analyzed through the controlled atmosphere control module so as to control the operation of the nitrogen making equipment according to the analysis result.
Before analyzing the environmental data, the air-conditioning control module performs modeling division on the storage space to obtain a plurality of space sub-areas, and the method comprises the following steps:
acquiring basic space parameters of the storage space through field measurement or design drawings; constructing the corresponding space three-dimensional model based on the basic space parameters; and setting a standard volume according to the space three-dimensional model, and dividing the space three-dimensional model by taking the standard volume as a reference to obtain a plurality of space sub-regions.
According to the obtained basic space parameters of the storage space, such as length, width, height and the like, the storage space is modeled by combining the existing three-dimensional modeling software, a corresponding space three-dimensional model is obtained, and the distribution condition of the nitrogen in the storage space can be visually seen by rendering the space three-dimensional model through environment data.
In order to realize accurate adjustment of the nitrogen production equipment and the environment in the storage space, the invention divides a space three-dimensional model according to a set standard volume so as to obtain a plurality of space sub-regions. It should be noted that the standard volume is set according to the size of the storage space, that is, if the storage space is large, the corresponding set standard volume is also large; the standard volume does not limit the shape of division, so a plurality of space sub-regions can be cuboids and spheres, and are arranged in other self-defined three-dimensional figures so as to deal with the storage space with irregular shapes.
The basic condition of the storage space is also evaluated before the nitrogen plant is controlled. The air-conditioning control module in the application of the invention combines setting storage parameters to evaluate the storage environment of the storage space, and comprises the following steps:
acquiring set storage parameters; and acquiring the environment data corresponding to the storage space, and comparing the environment data with the storage parameters to judge whether the corresponding storage environment is abnormal or not.
After each item of preparation work is finished, the environmental data are analyzed, if the oxygen concentration or the nitrogen concentration does not meet the requirement of the storage parameter, the storage environment of the storage space is judged to be abnormal, and then the nitrogen making equipment is analyzed and controlled.
It will be appreciated that the storage parameters are set based on the storage items, i.e. the storage environment for different storage items is different, and need to be set individually. When evaluating the storage space, the storage space may be allowed to stand for a period of time to ensure uniformity of the internal gas.
In a preferred embodiment, when the storage environment is abnormal, the modified atmosphere control module controls the operation of the nitrogen plant, and the modified atmosphere control module comprises:
analyzing the nitrogen demand of the corresponding storage space based on the environmental data; combining the nitrogen demand with the working efficiency of the nitrogen making equipment to obtain the working time; controlling the nitrogen making equipment to operate, and when the operation duration reaches the working duration, controlling the nitrogen making equipment to stop operating; re-evaluating the storage environment after the nitrogen plant is shut down.
When the storage environment is determined to be abnormal (generally, the concentration of nitrogen in the storage space is low), the nitrogen making equipment needs to be controlled to prepare nitrogen, and the required amount of nitrogen needs to be acquired by combining the volume of the storage space and environmental data. In the course of performing the nitrogen concentration adjustment, nitrogen gas released due to the problem of the pressure in the storage space should be considered, for example: assuming that the nitrogen demand of the storage space is 10, but when the pressure of the storage space exceeds the standard when the 10 nitrogen are injected into the storage space, the gas in the storage space should be released to reduce the pressure at this time, and the amount of the released nitrogen should be taken into consideration. The pressure test described above can be simulated in advance in a three-dimensional model in space. It is understood that when the nitrogen concentration in the storage space is high, the nitrogen concentration in the storage space should be reduced by, for example, an exhaust fan, an air pump, or the like.
After the nitrogen demand is determined, the required working time of the nitrogen making equipment can be calculated by combining the nitrogen making efficiency of the nitrogen making equipment, the controlled atmosphere control module controls the nitrogen making equipment to operate at normal efficiency, and after the operation time exceeds the working time, the storage environment is reevaluated.
In another preferred embodiment, when the storage environment is abnormal, the operation of the nitrogen generating equipment is controlled by combining the nitrogen diffusion principle, and the method comprises the following steps:
establishing a simulation prediction model according to a nitrogen diffusion principle; marking at least one space subregion connected with a gas transmission pipeline as an initial region, and marking at least one space subregion farthest away from the initial region as a target region; acquiring environmental data of the storage space, and extracting model input data by combining the initial region and the target region; inputting the model input data into the simulation prediction model to obtain an output simulation diffusion parameter; and controlling the nitrogen making equipment to operate according to the simulated diffusion parameters.
The simulation prediction model is combined with a nitrogen diffusion principle to simulate the diffusion process of nitrogen in the storage space, and mainly aims to obtain the diffusion duration and the diffusion concentration in the diffusion process, namely the simulation duration and the simulation concentration. The diffusion of nitrogen is dominated by concentration diffusion and is affected by temperature and pressure, so an artificial intelligence model with nonlinear fitting capability is selected for processing.
The method for obtaining the simulation prediction model based on the artificial intelligence model comprises the following steps:
acquiring standard training data; the standard training data are obtained in a simulation mode in a laboratory and comprise input data and output data, wherein the input data mainly comprise temperature, humidity, diffusion distance and nitrogen concentration before diffusion, and the output data mainly comprise diffusion duration and nitrogen concentration after diffusion;
training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a simulation prediction model; the artificial intelligence model comprises a deep convolution neural network model and an RBF neural network model.
It should be noted that the simulated diffusion parameters obtained by the simulated prediction model should be performed at intervals, such as one second, one minute, etc., which are short enough (compared to the above-mentioned operating time) to enable timely control of the nitrogen plant.
Referring to fig. 3, the three-dimensional space model is divided into a plurality of space sub-regions (single-layer), where a and B are both space sub-regions, S is a gas pipeline (other connecting members exist in the gas pipeline and the storage space), a is an initial region, B is a target region, and a distance between AB is a diffusion distance.
Referring to fig. 4, when the initial region and the target region include a plurality of spatial sub-regions, the spatial sub-regions in the initial region are combined to form a new initial region, and the spatial sub-regions in the target region are combined to form a new target region. In fig. 4, a is the initial region (larger in volume compared to the initial region in fig. 3), B1 and B2 are the target regions, and the distance between AB1 and AB2 is the diffusion distance; the nitrogen concentrations before diffusion included A, B1 and B2, and after diffusion also included A, B1 and B2.
Part of data in the formula is obtained by removing dimensions and calculating the numerical value of the data, and the formula is a formula which is closest to the real condition and obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows:
and establishing connection between a plurality of flexibly arranged data sensors and the controlled atmosphere control module, detecting the working state of the equipment through the controlled atmosphere control module, and generating a data acquisition signal when the working state is normal.
The data sensors start data acquisition based on the data acquisition signals, acquire environmental data in the storage space and send the environmental data to the controlled atmosphere control module.
The air-conditioning control module divides the space three-dimensional model into a plurality of space sub-regions, and when the storage environment is abnormal, the air-conditioning control module is combined with the space sub-regions to control the nitrogen making equipment to operate.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present invention.
Claims (8)
1. The utility model provides a system nitrogen system's long-range formula intelligence control system, includes the gas regulation control module to and the nitrogen making equipment and a plurality of data sensor that are connected with it, and a plurality of the data sensor sets up in storage space, the nitrogen making equipment does storage space provides nitrogen gas, its characterized in that:
a number of data sensors: starting data acquisition based on a data acquisition signal, acquiring environmental data in the storage space and sending the environmental data to the controlled atmosphere control module; wherein the environmental data includes pressure, temperature, nitrogen concentration, and oxygen concentration;
the air conditioning control module: modeling the storage space to obtain a corresponding space three-dimensional model, and dividing the space three-dimensional model into a plurality of space sub-regions according to a standard volume; and
evaluating the storage environment of the storage space according to the environment data; and when the storage environment is abnormal, controlling the operation of the nitrogen generation equipment by combining the analysis of a plurality of the space sub-regions.
2. The remote intelligent control system of claim 1, wherein the modified atmosphere control module performs modeling division on the storage space to obtain a plurality of spatial sub-regions, and comprises:
acquiring basic space parameters of the storage space through field measurement or design drawings;
constructing the corresponding space three-dimensional model based on the basic space parameters;
and setting a standard volume according to the space three-dimensional model, and dividing the space three-dimensional model by taking the standard volume as a reference to obtain a plurality of space sub-regions.
3. The remote intelligent control system of claim 1, wherein the modified atmosphere control module evaluates the storage environment of the storage space in combination with setting storage parameters, comprising:
acquiring set storage parameters; wherein the storage parameters are set based on the storage item and include oxygen concentration and nitrogen concentration;
and acquiring the environment data corresponding to the storage space, and comparing the environment data with the storage parameters to judge whether the corresponding storage environment is abnormal or not.
4. The remote intelligent control system of nitrogen generation system of claim 3, wherein when the storage environment is abnormal, the modified atmosphere control module controls the operation of the nitrogen generation equipment, comprising:
analyzing the nitrogen demand of the corresponding storage space based on the environmental data;
combining the nitrogen demand with the working efficiency of the nitrogen making equipment to obtain the working time;
controlling the nitrogen making equipment to operate, and when the operation duration reaches the working duration, controlling the nitrogen making equipment to stop operating;
re-evaluating the storage environment after the nitrogen plant is shut down.
5. The remote intelligent control system of nitrogen generation system of claim 3, wherein when said storage environment is abnormal, controlling the operation of said nitrogen generation equipment in combination with nitrogen diffusion principle comprises:
establishing a simulation prediction model according to a nitrogen diffusion principle; wherein the simulation prediction model is established based on an artificial intelligence model;
marking at least one space subregion connected with a gas transmission pipeline as an initial region, and marking at least one space subregion farthest away from the initial region as a target region;
acquiring environmental data of the storage space, and extracting model input data by combining an initial region and a target region; inputting the model input data into the simulation prediction model to obtain an output simulation diffusion parameter;
controlling the nitrogen making equipment to operate according to the simulated diffusion parameters; wherein the simulated diffusion parameters comprise a simulated time length and a simulated concentration.
6. The remote intelligent control system of nitrogen production system of claim 5, wherein when said initial region and said target region comprise a plurality of spatial sub-regions, said plurality of spatial sub-regions in said initial region are combined to form a new initial region and said plurality of spatial sub-regions in said target region are combined to form a new target region.
7. The remote intelligent control system of claim 1, wherein the modified atmosphere control module is in communication and/or electrical connection with the nitrogen generation equipment and the plurality of data sensors, respectively;
the data sensors are uniformly arranged in the storage space, and the nitrogen making equipment is connected with the storage space through a gas pipeline.
8. The remote intelligent control system of claim 1, wherein the data sensors are flexibly mounted behind the storage space and connected to the modified atmosphere control module;
the controlled atmosphere control module detects the working state of the equipment connected with the controlled atmosphere control module, and when the working state is normal, the controlled atmosphere control module sends data acquisition signals to the data sensors.
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