CN113682767B

CN113682767B - Intelligent transportation method and device for reverse osmosis membrane

Info

Publication number: CN113682767B
Application number: CN202111243374.2A
Authority: CN
Inventors: 高翔; 高丽军; 何伟; 马乐瞻
Original assignee: Jiangsu Bangtec Environmental Sci Tech Co ltd
Current assignee: Jiangsu Bangtec Environmental Sci Tech Co ltd
Priority date: 2021-10-25
Filing date: 2021-10-25
Publication date: 2022-03-15
Anticipated expiration: 2041-10-25
Also published as: CN113682767A

Abstract

The invention provides an intelligent reverse osmosis membrane transportation method and device, wherein the method comprises the following steps: obtaining first basic information of the reverse osmosis membrane; obtaining protective solution information of the reverse osmosis membrane; obtaining the compression resistance information of the independently sealed reverse osmosis membrane; obtaining a first image of the first packing box, and analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result; and obtaining first simulated transportation stress information of the independently sealed reverse osmosis membrane, obtaining a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compression resistance information and the first simulated transportation stress information, and further adjusting and transporting the first packing box protection structure. The technical problem that in the prior art, the package of the reverse osmosis membrane before transportation is mainly judged subjectively by experience and is not necessarily suitable for a transportation road section, and the obtained result has strong uncertainty is solved.

Description

Intelligent transportation method and device for reverse osmosis membrane

Technical Field

The invention relates to the technical field related to intelligent manufacturing equipment, in particular to an intelligent reverse osmosis membrane transportation method and device.

Background

Reverse osmosis membrane is a reverse migration movement of osmosis, which is a separation method of separating solute from solvent in solution by means of selective interception of semipermeable membrane under pressure driving, and has been widely used in purification and concentration of various liquids, wherein the most common application example is to remove impurities such as inorganic ions, bacteria, viruses, organic matters and colloids in raw water by reverse osmosis technology in water treatment process to obtain high-quality purified water.

The reverse osmosis membrane is easy to be polluted and deteriorated, so the reverse osmosis membrane is stored or transported according to the standard strictly, the storage workshop can control the conditions such as temperature, humidity and the like, but different actual road conditions can greatly influence the reverse osmosis membrane in the transportation process. The current treatment mode mainly depends on strict packaging before transportation and a specific deployment position in a carriage, so that the stress of the reverse osmosis membrane is reduced as much as possible.

However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:

in the prior art, the packaging of the reverse osmosis membrane before transportation is mainly judged subjectively by experience and is not necessarily suitable for a transportation road section, so that the obtained result has the technical problem of strong uncertainty.

Disclosure of Invention

The embodiment of the application provides an intelligent reverse osmosis membrane transportation method and device, and solves the technical problem that in the prior art, the packaging of a reverse osmosis membrane before transportation is mainly judged subjectively by experience, the packaging is not necessarily suitable for a transportation road section, and the obtained result has high uncertainty. After the existing packaging is finished, acquiring the content information and the basic information of the protective solution of the reverse osmosis membrane to obtain the compressive capacity information under the protection of the protective solution; analyzing the main stress position of the packing box when the packing box is placed from the image information of the packing box; the simulation is at present packing and place under the prerequisite, the possible atress situation of reverse osmosis membrane when transporting, according to the compressive capacity of atress situation and each stress position department, assess reverse osmosis membrane's stability, stability then is not enough to the inside protective structure adjustment of packing case, stop when stability reaches the requirement, carry out the analysis through the packaging structure atress situation to reverse osmosis membrane, can select the protective structure of the best atress condition, compare artificial subjective judgement, more comprehensive factors have been considered in the intelligence aassessment, consequently, it is more accurate to obtain the result. Thereby reaching the technical effect of improving the stability of the packaging protection structure.

In view of the above problems, the embodiment of the application provides an intelligent transportation method and an intelligent transportation device for reverse osmosis membranes.

In a first aspect, an embodiment of the present application provides an intelligent transportation method for a reverse osmosis membrane, where the method is applied to an intelligent transportation detection device, the device is in communication connection with a first image acquisition device, and the method includes: obtaining first basic information of the reverse osmosis membrane; obtaining protection liquid information of the reverse osmosis membrane, wherein the protection liquid information comprises content information of protection liquid in the reverse osmosis membrane which is sealed independently; obtaining the compression resistance information of the independently sealed reverse osmosis membrane according to the first basic information and the content information of the protective liquid; obtaining a first image of a first packing box through the first image acquisition device, and analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result; obtaining first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtaining a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compression resistance information and the first simulated transportation stress information; and carrying out transportation after the protection structure of the first packing box is adjusted according to the stability evaluation result.

On the other hand, this application embodiment provides a reverse osmosis membrane intelligence conveyer, wherein, the device includes: a first obtaining unit for obtaining first basic information of a reverse osmosis membrane; a second obtaining unit configured to obtain protective solution information of the reverse osmosis membrane, wherein the protective solution information includes protective solution content information in an independently sealed reverse osmosis membrane; a third obtaining unit, configured to obtain pressure resistance information of an independently sealed reverse osmosis membrane according to the first basic information and the protection solution content information; the fourth obtaining unit is used for obtaining a first image of the first packing box through the first image collecting device, analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image and obtaining a first stress point analysis result; a fifth obtaining unit, configured to obtain first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtain a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compressive capacity information, and the first simulated transportation stress information; and the first execution unit is used for carrying out transportation after the protection structure of the first packing box is adjusted according to the stability evaluation result.

In a third aspect, an embodiment of the present application provides an intelligent transportation device for reverse osmosis membranes, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

the method adopts the first basic information of obtaining the reverse osmosis membrane; obtaining protection liquid information of the reverse osmosis membrane, wherein the protection liquid information comprises content information of protection liquid in the reverse osmosis membrane which is sealed independently; obtaining the compression resistance information of the independently sealed reverse osmosis membrane according to the first basic information and the content information of the protective liquid; obtaining a first image of a first packing box through the first image acquisition device, and analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result; obtaining first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtaining a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compression resistance information and the first simulated transportation stress information; and carrying out transportation after the protection structure of the first packing box is adjusted according to the stability evaluation result. After the existing packaging is finished, acquiring the content information and the basic information of the protective solution of the reverse osmosis membrane to obtain the compressive capacity information under the protection of the protective solution; analyzing the main stress position of the packing box when the packing box is placed from the image information of the packing box; the simulation is at present packing and place under the prerequisite, the possible atress situation of reverse osmosis membrane when transporting, according to the compressive capacity of atress situation and each stress position department, assess reverse osmosis membrane's stability, stability then is not enough to the inside protective structure adjustment of packing case, stop when stability reaches the requirement, carry out the analysis through the packaging structure atress situation to reverse osmosis membrane, can select the protective structure of the best atress condition, compare artificial subjective judgement, more comprehensive factors have been considered in the intelligence aassessment, consequently, it is more accurate to obtain the result. Thereby reaching the technical effect of improving the stability of the packaging protection structure.

The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.

Drawings

FIG. 1 is a schematic flow chart of an intelligent transportation method for a reverse osmosis membrane according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of a method for monitoring and adjusting humidity of a reverse osmosis membrane in an intelligent transportation process according to an embodiment of the application;

FIG. 3 is a schematic flow chart of a reverse osmosis membrane intelligent transportation compartment temperature monitoring and adjusting method provided in the embodiment of the present application;

FIG. 4 is a schematic structural view of an intelligent reverse osmosis membrane transportation device provided in the embodiments of the present application;

fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.

Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a first executing unit 16, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.

Detailed Description

Reverse osmosis membrane is a reverse migration movement of osmosis, which is a separation method of separating solute from solvent in solution by means of selective interception of semipermeable membrane under pressure driving, and has been widely used in purification and concentration of various liquids, wherein the most common application example is to remove impurities such as inorganic ions, bacteria, viruses, organic matters and colloids in raw water by reverse osmosis technology in water treatment process to obtain high-quality purified water. The reverse osmosis membrane is easy to be polluted and deteriorated, so the reverse osmosis membrane is stored or transported according to the standard strictly, the storage workshop can control the conditions such as temperature, humidity and the like, but different actual road conditions can greatly influence the reverse osmosis membrane in the transportation process. The current treatment mode mainly depends on strict packaging before transportation and a specific deployment position in a carriage, so that the stress of the reverse osmosis membrane is reduced as much as possible. However, in the prior art, the packaging of the reverse osmosis membrane before transportation is mainly judged subjectively by experience, and the packaging is not necessarily suitable for a transportation road section, so that the obtained result has the technical problem of strong uncertainty.

In view of the above technical problems, the technical solution provided by the present application has the following general idea:

the embodiment of the application provides an intelligent transportation method of a reverse osmosis membrane, wherein the method is applied to an intelligent transportation detection device, the device is in communication connection with a first image acquisition device, and the method comprises the following steps: obtaining first basic information of the reverse osmosis membrane; obtaining protection liquid information of the reverse osmosis membrane, wherein the protection liquid information comprises content information of protection liquid in the reverse osmosis membrane which is sealed independently; obtaining the compression resistance information of the independently sealed reverse osmosis membrane according to the first basic information and the content information of the protective liquid; obtaining a first image of a first packing box through the first image acquisition device, and analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result; obtaining first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtaining a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compression resistance information and the first simulated transportation stress information; and carrying out transportation after the protection structure of the first packing box is adjusted according to the stability evaluation result.

Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.

Example one

As shown in fig. 1, an embodiment of the present application provides an intelligent transportation method for a reverse osmosis membrane, where the method is applied to an intelligent transportation detection device, the device is connected to a first image acquisition device in communication, and the method includes:

s100: obtaining first basic information of the reverse osmosis membrane;

in particular, reverse osmosis, which is a reverse migration motion of osmosis, is a separation method of separating solute from solvent in solution by selective interception of semipermeable membrane under pressure driving, and is widely used for purification and concentration of various liquids, wherein the most common application example is in water treatment process, impurities such as inorganic ions, bacteria, viruses, organic matters and colloids in raw water are removed by reverse osmosis technology to obtain high-quality purified water; the reverse osmosis membrane is an organic polymer membrane for realizing the reverse osmosis function, and comprises a homogeneous membrane, a non-paired membrane, a composite membrane and the like, and the current composite membrane is widely applied; the first basic information is basic information of the reverse osmosis membrane, and is an example of a composite membrane without limitation: information on the multilayer structure, the diameter of surface micropores, the thickness of an adsorption layer, information on the material of the multilayer, and the like. The water permeability and the rejection to solute of the reverse osmosis membrane can be directly represented through the diameter of the micropores and the thickness of the adsorption layer; and evaluating the stress bearing capacity of the reverse osmosis membrane during storage or transportation through multi-layer material information, and designing a protection structure according to the stress condition and the stress bearing capacity.

S200: obtaining protection liquid information of the reverse osmosis membrane, wherein the protection liquid information comprises content information of protection liquid in the reverse osmosis membrane which is sealed independently;

in particular, the protective solution functions to prevent microbial growth and contamination of the membrane element during periods of non-use; the protective solution information of the reverse osmosis membrane is basic information of protective solution, including but not limited to: and the protective solution component information, the protective solution concentration information, the protective solution content information when the permeable membrane is independently and hermetically packaged, and the like. Through to the basic information of protection liquid gathers, provides comprehensive data basis for the process of later step, and later step can be according to protection liquid density and content information confirm when the atress, the power that protection liquid can cushion, and then judge under the protection of protection liquid, the atress condition when reverse osmosis membrane preserves or transports, according to the adjustable protection architecture of atress condition.

S300: obtaining the compression resistance information of the independently sealed reverse osmosis membrane according to the first basic information and the content information of the protective liquid;

specifically, the pressure resistance of the reverse osmosis membrane is the maximum value of the bearable stress of the reverse osmosis membrane on the premise of ensuring that the reverse osmosis membrane is not damaged when the reverse osmosis membrane is stressed; the determination method is not limited to the following example: analyzing the self pressure resistance of the reverse osmosis membrane, and representing the pressure resistance by using the bearable maximum deformation capacity of the reverse osmosis membrane due to the fact that the reverse osmosis membrane is generally made of a plastic material, wherein a composite membrane is formed by compounding multiple layers of materials made of different materials, the bearable maximum deformation of the multiple layers of materials needs to be called respectively, then weight values are given to the multiple layers of materials according to the ratio of the thicknesses of the multiple layers of materials, and the weighted average of the bearable maximum deformation is calculated and used as the bearable maximum deformation capacity of the composite membrane; further, recording stress values of different stress-prone positions when maximum deformation occurs as the compressive resistance of the positions, and storing the recorded compressive resistance and corresponding positions in a one-to-one correspondence manner; and secondly, analyzing the buffering capacity of the protection liquid information on stress, recording the change value of force as the buffering capacity of the protection liquid from the beginning of stress to the time when the protection liquid penetrates through the protection liquid and leaves the protection liquid when the protection liquid is stressed, and recording the buffering capacity of the protection liquid with different contents on the same force by recording the buffering capacity of a plurality of groups of fixed densities to obtain the influence of the content of the protection liquid on the buffering capacity of the protection liquid on the force so as to obtain the buffering capacity on the force under the unit content. And thirdly, the change value of the buffering force + the compressive resistance recorded at each position of the reverse osmosis membrane per se = the compressive resistance of each stress position when the reverse osmosis membrane is integrally stored and transported. Through compressive capacity, can be for reverse osmosis membrane selects the protection packaging structure who designs the use, reaches the technological effect of safe transportation.

S400: obtaining a first image of a first packing box through the first image acquisition device, and analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result;

specifically, the first image acquisition devices are a plurality of image acquisition devices installed inside the transport vehicle and used for monitoring the transport process; the reverse osmosis membrane needs to be fixedly packaged before transportation or storage, the first packaging box is obtained after the reverse osmosis membrane is fixedly packaged, and the stress-susceptible point of the reverse osmosis membrane is a fixed stress position in the first packaging box and a fixed position stress point of the first packaging box in a transport vehicle; the first force point analysis result is a result obtained by storing stress information of a fixed stress position of the reverse osmosis membrane and stress information of a fixed position of the first packing box after the reverse osmosis membrane is packed, and includes: stress value, stress angle, etc. By ensuring that the force application value during fixation is less than or equal to the compressive capacity according to the compressive capacity at each fixed point position, damage to the permeable membrane is avoided.

S500: obtaining first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtaining a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compression resistance information and the first simulated transportation stress information;

s600: and carrying out transportation after the protection structure of the first packing box is adjusted according to the stability evaluation result.

Specifically, the first simulated transportation stress information is obtained by performing a simulated transportation process according to the transportation path characteristics of the reverse osmosis membrane, and the obtained stress information of the independently sealed reverse osmosis membrane, which changes with time sequence, includes but is not limited to: the information such as atress position, atress angle, atress size, further, the analysis atress condition when different time nodes: the stress values of different time nodes + the stress value in the first stress point analysis result is used as the stress value of the reverse osmosis membrane, the stress value of the reverse osmosis membrane is compared with the compressive capacity, if the stress value of the reverse osmosis membrane is greater than the compressive capacity, the reverse osmosis membrane has damage risks, the protection structure in the first packing box needs to be adjusted, the buffering capacity of the protection structure of the first packing box on the stress is improved, the stress value of the reverse osmosis membrane is smaller than or equal to the compressive capacity, the reverse osmosis membrane is stopped when the adjustment is completed, the reverse osmosis membrane is transported again, the damage risks of the reverse osmosis membrane are reduced, the current intelligent transportation is achieved, and the controllability of the transportation process is improved.

Further, the method further includes step S700:

s710: obtaining an internal image of a first transport vehicle through the first image acquisition device, wherein the internal image of the first transport vehicle is an image including a packing box;

s720: acquiring stress point information of a first bottom layer packing box according to the image in the first transport vehicle;

s730: estimating stress information of the first bottom packing box according to the image in the first transport vehicle to obtain a first stress estimation result;

s740: carrying out stress distribution on the first stress estimation result through the stress point information to obtain a first stress distribution result;

s750: and evaluating the stability of the first bottom layer packing box according to the first stress distribution result to obtain a first evaluation result, and transporting the first bottom layer packing box after carrying out structure adjustment on the first bottom layer packing box according to the first evaluation result.

Specifically, the first internal transport vehicle image is an image of the interior of the transport vehicle acquired by the first image information acquisition device, and includes a plurality of first packing box images; the first bottom layer packing box image is a packing box image of the lowest layer of a plurality of packing boxes arranged in the storage space inside the first transport vehicle, a main stress point, a stress direction and the like can be determined based on the first bottom layer packing box image, the main stress value of the first bottom layer packing box can be determined according to the number of the packing boxes on the first bottom layer packing box, and the determination mode is an example of no limitation: the feature extraction model based on convolutional neural network training is used for feature extraction, convolution can be used as a feature extractor in machine learning, extracted feature information is concentrated and representative, and then the convolutional features of the first bottom layer packing box image are obtained, the convolutional neural network is one of neural networks, the convolutional neural network has an excellent recognition function for feature extraction, particularly image feature extraction, and the extracted feature information comprises: characteristic information of the number of the packing boxes stacked on the first bottom packing box, fixed point characteristics of the first bottom packing box and the like; further, the stress point information is the main stress position of the first bottom layer packing box, and includes: the position of a fixed point fixed on a carriage in the first transport vehicle, the position contacted with an upper-layer packing box and the like; the first stress estimation result is a stress condition of a fixed point of the first bottom layer packing box which can be estimated through the fixed point characteristic of the first bottom layer packing box, wherein the stress condition is determined according to the number characteristic information of the packing boxes stacked on the first bottom layer packing box, the stress value of the upper surface of the first bottom layer packing box is determined according to the number of single packing boxes; the first stress distribution result is obtained by matching the first stress estimation result with the stress point information to obtain a plurality of groups of stress points and estimated stress data; storing the first stress estimation results and the stress point information which are matched with each other in a list form in a one-to-one correspondence manner, and waiting for later calling; the first evaluation result is information representing the stability of the first bottom layer packing box obtained by comparing the first stress estimation result of each group with the compressive capacity of the stress point at the corresponding position, and the evaluation mode is an example which is not limited: the first step is to judge whether the first stress estimation result of each group is larger than the compressive capacity of the corresponding stress point position, and the judgment result is larger than the compressive capacity and is recorded as: is, not greater than: if not, the obtained multiple groups of judgment results are in a logical and relationship, and if the final result is not, the stability of the surface first bottom layer packing box is better; the final result is that the protection structure of the first bottom layer packing box needs to be adjusted, so that the purpose of protecting the reverse osmosis membrane is achieved.

Further, as shown in fig. 2, the method step S700 further includes a step S760:

s761: acquiring a first transportation path and estimated time information along the way of the first transport vehicle;

s762: acquiring path time node humidity information according to the first transportation path and the estimated information of the along-the-way time to obtain a first acquisition result;

s763: acquiring the sealing degree information of the first transport vehicle, and evaluating the humidity change information of the first transport vehicle according to the sealing degree information and the first acquisition result to acquire a second evaluation result;

s764: obtaining a material humidity influence coefficient of the first bottom layer bale case;

s765: and evaluating the stability of the first bottom layer bale case according to the second evaluation result and the material humidity influence coefficient to obtain a third evaluation result, and adjusting the material of the first bottom layer bale case according to the third evaluation result.

Specifically, the first transportation path is preset traveling route information of the first transport vehicle; the estimated information of the along-the-way time is estimated time node information passing through a preset path, and the estimated time node information comprises the following steps: estimated time information corresponding to the path position, a parking position and corresponding time node information; the first acquisition result is based on a road section with longer staying or running time, the acquired humidity information set of the corresponding road section, and an example of no limitation is taken as an acquisition road section determination mode: performing cluster analysis on the first transportation path according to the humidity difference value, classifying the first transportation path into one class with smaller humidity difference value and classifying the first transportation path into a different class with larger difference value, and finally classifying the first transportation path into a plurality of road sections; the sealing degree information of the first transport vehicle is information such as sealing thickness and sealing materials; the second evaluation result is information for judging whether the humidity inside the first transport vehicle changes according to the information on the degree of tightness of the first transport vehicle and the humidity information on the corresponding road section, which is as follows: the time for changing the humidity in the carriage under different humidities can be evaluated according to the sealing material and the thickness and recorded as the preset time; the material humidity influence coefficient is the water absorption strength of the material of the first bottom layer packing box, after the humidity of the carriage changes, the first position is the position of the first bottom layer packing box, the waterproof capability of the first bottom layer packing box is evaluated at the moment, if the waterproof capability is unqualified, the material of the first packing box needs to be replaced, and the material with small influence of humidity is obtained. By evaluating the humidity on the predetermined transport path, if the humidity can have an effect on the humidity inside the vehicle compartment, the material of the first packing box is replaced with a material that is less affected by the humidity, improving the stability of the first packing box.

Further, as shown in fig. 3, based on the communication connection between the apparatus and the first temperature sensor, the method further includes step S800:

s810: obtaining first real-time temperature information of the first transport vehicle through the first temperature sensor;

s820: obtaining a first preset temperature threshold;

s830: obtaining first real-time temperature information and first temperature difference information of the first preset temperature threshold;

s840: and when the first temperature difference information meets a first preset condition, adjusting the compartment temperature of the first transport vehicle.

Specifically, the first sensor is the temperature sensor placed inside the first carriage; the first real-time temperature information of the first transport vehicle is a result obtained by correspondingly storing temperature information and time nodes according to a time sequence based on real-time temperature information in a carriage read by the first sensor; the first preset temperature threshold is two extreme values of a preset optimal temperature interval for the reverse osmosis membrane to store and transport, and is exemplified by: if the optimal transportation temperature interval is [7 ℃, 31 ℃), wherein 7 ℃ is the first extreme and 31 ℃ is the second extreme; the first temperature difference information is obtained by comparing the first real-time temperature information with an optimal temperature interval, and if the first real-time temperature information is not within the optimal temperature interval, the first temperature difference information is specifically: calculating a difference value by taking the first pole as a reference when the real-time temperature is lower than that of the first pole, and calculating a difference value by taking the second pole as a reference when the real-time temperature is higher than that of the second pole; the preset temperature difference information or the preset duration of the temperature difference under the first preset condition is as follows: when the first temperature difference information is too large, the property influence on the reverse osmosis membrane may be caused in a short time, and the temperature difference causing the chemical property influence on the reverse osmosis membrane is recorded as a preset temperature difference. When the first temperature difference is lower than the preset temperature difference but the duration is long, the chemical property influence on the reverse osmosis membrane is also caused, and the duration is recorded as the preset duration of the temperature difference. The preset temperature difference information or the preset duration of the temperature difference is in a logical or relationship, and if one of the preset temperature difference information or the preset duration of the temperature difference is found, the temperature in the compartment needs to be adjusted in real time. Through real-time monitoring the temperature information in the first transport vehicle is timely processed when abnormality occurs, and the stability of the reverse osmosis membrane is guaranteed.

Further, the method step S840 further includes:

s841: obtaining a temperature time change curve of the first transport vehicle through the first temperature sensor;

s842: when the first temperature difference information meets a first preset condition, obtaining a curve slope before a time node of the first temperature difference information according to the temperature time change curve;

s843: obtaining the environmental temperature information at the time node when the first temperature difference information meets a first preset condition;

s844: obtaining a first temperature rise rate according to the environment temperature information and the curve slope;

s845: and controlling the temperature of the carriage according to the first heating rate.

Specifically, the temperature-time variation curve of the first transport vehicle is a curve representing real-time temperature data varying with time, which is constructed by a plurality of groups of real-time collected temperature information and time nodes; when the first temperature difference information meets a first preset condition, extracting a curve slope of a time node corresponding to the first temperature difference information, wherein the curve slope represents a temperature change rate reaching a real-time temperature corresponding to the first temperature difference; the first rate of temperature rise is a rate of temperature change indicative of a real-time temperature being reached. In order to reduce the temperature back to the optimal temperature range, the temperature reduction rate must be larger than the first temperature rise rate, the first temperature rise rate is monitored in real time, and the temperature reduction rate can be ensured to be larger than the first temperature rise rate; correspondingly: if the real-time temperature corresponding to the first temperature difference value is a value lower than the minimum temperature of the optimal temperature interval, monitoring the cooling rate in real time, and keeping the heating rate higher than the cooling rate, so that the real-time temperature in the first transport vehicle can be kept within the optimal temperature interval all the time.

Further, the method step S500 further includes:

s510: constructing a first simulated transportation model, wherein the first simulated transportation model is a model for carrying out simulated transportation;

s520: performing packing box placement simulation on the independently sealed reverse osmosis membranes, and setting a first simulated transportation speed of the first simulated transportation model;

s530: and carrying out stress analysis on the independently sealed sealing bag at the first simulated transportation speed through the first simulated transportation model to obtain a first stress analysis result, and obtaining the first simulated transportation stress information according to the first stress analysis result.

Specifically, the first simulated transportation model is a model for estimating stress information on a transportation path based on data such as a deployment position of a packing box in the first transportation compartment, a fixed mode and the like, preferably, an intelligent model for training a simulation unit to obtain quantized data and then inputting the data into a neural network model, wherein the artificial neural network is an abstract mathematical model which is proposed and developed on the basis of modern neuroscience and aims at reflecting the structure and the function of a human brain, the neural network is an operation model and is formed by connecting a large number of nodes (or called neurons) with each other, each node represents a specific output function called an excitation function, the connection between every two nodes represents a weighted value for signals passing through the connection, called a weight, and is equivalent to the memory of the artificial neural network, the output of the network is an expression of a logic policy according to the connection mode of the network. Information such as the deployment position and the fixing mode of each packing box is simulated through the simulation unit, space grid coordinates are preferably constructed, and quantized position information, fixed angle information, fixed position information and the like of each packing box are obtained. Further, the obtained packing box deployment mode data in the first transport carriage and the first simulated transport speed preset according to the road section are used as input training data; and taking the stress condition identification of the independently sealed sealing bag at the first simulated transport speed obtained based on theoretical reasoning as output identification information of supervision training, adopting a plurality of groups of training data and identification information training models, stopping when the training data of the first simulated transport model reaches convergence, inputting packing box placing simulation data and the first simulated transport speed to obtain a first stress analysis result representing the stress condition of the independently sealed sealing bag, and further taking the first stress analysis result as the first simulated transport stress information. Through simulating the atress situation of transportation, and then adjusting the deployment position and the fixed position of packing case also can adjust the inside protection architecture of packing case, stop when satisfying first simulation transportation atress information, increased the stability of transportation.

Further, the method step S500 further includes step S540:

s541: constructing a first stability evaluation model, wherein the stability evaluation model is obtained by training data, and each group of data in the training data comprises the first stress point analysis result, the compression resistance information, the first simulated transportation stress information and identification information for identifying a stability evaluation result;

s542: setting a first stability evaluation parameter, and judging whether the first stability evaluation model meets the first stability evaluation parameter after training;

s543: and when the first stability evaluation model meets the first stability evaluation parameter, inputting the first stress point analysis result, the compressive capacity information and the first simulated transportation stress information into the first stability evaluation model to obtain a stability evaluation result of the independently sealed reverse osmosis membrane.

Specifically, the first stability assessment model is an intelligent model based on neural network training, and is obtained by training multiple sets of training data, and each set of training data includes: the first stress point analysis result, the compression resistance information, the first simulated transportation stress information and the identification information of the identification stability evaluation result; stopping training after the first stability assessment model output value reaches convergence, and then selecting a plurality of groups of test data sets to assess the output stability of the first stability assessment model, wherein the first stability assessment parameter is a preset test data amount, when the test data amount is larger than or equal to the first stability assessment parameter, the output of the first stability assessment model is still stable, the output of the first stability assessment model meets the first stability assessment parameter, and when the output of the first stability assessment model does not meet the first stability assessment parameter, the training is continued. Further, when the output of the first stability assessment model meets the first stability assessment parameter, the first force point analysis result, the compressive capacity information, and the first simulated transportation force information may be processed using a model to obtain an output result representing the stability of the independently sealed reverse osmosis membrane. The trained model can be tested through the first stability assessment parameter, and the model can still be stable after reaching a certain data volume, so that the work can be carried out, the situation that the model is unstable due to accidental convergence is avoided, and the accuracy of data processing is improved.

To sum up, the reverse osmosis membrane intelligent transportation method and device provided by the embodiment of the application have the following technical effects:

1. the embodiment of the application provides an intelligent reverse osmosis membrane transportation method and device, and solves the technical problem that in the prior art, the packaging of a reverse osmosis membrane before transportation is mainly judged subjectively by experience, the packaging is not necessarily suitable for a transportation road section, and the obtained result has high uncertainty. After the existing packaging is finished, acquiring the content information and the basic information of the protective solution of the reverse osmosis membrane to obtain the compressive capacity information under the protection of the protective solution; analyzing the main stress position of the packing box when the packing box is placed from the image information of the packing box; the simulation is at present packing and place under the prerequisite, the possible atress situation of reverse osmosis membrane when transporting, according to the compressive capacity of atress situation and each stress position department, assess reverse osmosis membrane's stability, stability then is not enough to the inside protective structure adjustment of packing case, stop when stability reaches the requirement, carry out the analysis through the packaging structure atress situation to reverse osmosis membrane, can select the protective structure of the best atress condition, compare artificial subjective judgement, more comprehensive factors have been considered in the intelligence aassessment, consequently, it is more accurate to obtain the result. Thereby reaching the technical effect of improving the stability of the packaging protection structure.

2. By evaluating the humidity on the predetermined transport path, if the humidity can have an effect on the humidity inside the vehicle compartment, the material of the first packing box is replaced with a material that is less affected by the humidity, improving the stability of the first packing box.

3. The trained model can be tested through the first stability assessment parameter, and the model can still be stable after reaching a certain data volume, so that the work can be carried out, the situation that the model is unstable due to accidental convergence is avoided, and the accuracy of data processing is improved.

Example two

Based on the same inventive concept as the reverse osmosis membrane intelligent transportation method in the previous embodiment, as shown in fig. 4, the embodiment of the present application provides an intelligent reverse osmosis membrane transportation device, wherein the device includes:

a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining first basic information of the reverse osmosis membrane;

a second obtaining unit 12, configured to obtain protection solution information of the reverse osmosis membrane, where the protection solution information includes content information of a protection solution in an independently sealed reverse osmosis membrane;

a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain information on pressure resistance of the independently sealed reverse osmosis membrane according to the first basic information and the content information of the protection solution;

a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first image of a first packing box through a first image collecting device, and analyze a stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result;

a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtain a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compressive capacity information, and the first simulated transportation stress information;

a first executing unit 16, where the first executing unit 16 is configured to transport the first packing box after performing protection structure adjustment on the first packing box according to the stability evaluation result.

Further, the apparatus further comprises:

a sixth obtaining unit, configured to obtain an internal image of the first transport vehicle through the first image acquisition device, where the internal image of the first transport vehicle is an image including a package box;

a seventh obtaining unit, configured to obtain stress point information of a first bottom layer packing box according to the image inside the first transport vehicle;

the eighth obtaining unit is used for predicting stress information of the first bottom packing box according to the image in the first transport vehicle to obtain a first stress prediction result;

a ninth obtaining unit, configured to perform stress distribution on the first stress estimation result through the stress point information to obtain a first stress distribution result;

a tenth obtaining unit, configured to evaluate the stability of the first bottom layer packing box according to the first stress distribution result, obtain a first evaluation result, and transport the first bottom layer packing box after performing structure adjustment on the first bottom layer packing box according to the first evaluation result.

Further, the apparatus further comprises:

an eleventh obtaining unit configured to obtain a first transportation path and estimated time-on-the-way information of the first transportation vehicle;

a twelfth obtaining unit, configured to collect path time node humidity information according to the first transportation path and the estimated time along the way information, and obtain a first collection result;

a thirteenth obtaining unit, configured to obtain the sealing degree information of the first transport vehicle, and evaluate the humidity change information of the first transport vehicle according to the sealing degree information and the first acquisition result to obtain a second evaluation result;

a fifteenth obtaining unit for obtaining a material humidity influence coefficient of the first bottom layer bale case;

a sixteenth obtaining unit, configured to evaluate the stability of the first bottom layer bale case according to the second evaluation result and the material humidity influence coefficient, obtain a third evaluation result, and perform material adjustment on the first bottom layer bale case according to the third evaluation result.

Further, the apparatus further comprises:

a seventeenth obtaining unit, configured to obtain first real-time temperature information of the first transport vehicle through the first temperature sensor;

an eighteenth obtaining unit, configured to obtain a first preset temperature threshold;

a nineteenth obtaining unit, configured to obtain the first real-time temperature information and first temperature difference information of the first preset temperature threshold;

and the second execution unit is used for adjusting the compartment temperature of the first transport vehicle when the first temperature difference information meets a first preset condition.

Further, the apparatus further comprises:

a twentieth obtaining unit for obtaining a temperature-time change curve of the first carriage by a first temperature sensor;

a twenty-first obtaining unit, configured to obtain, when the first temperature difference information satisfies a first preset condition, a curve slope before a time node of the first temperature difference information according to the temperature-time variation curve;

a twenty-second obtaining unit, configured to obtain environment temperature information at a time node when the first temperature difference information satisfies a first preset condition;

a twenty-third obtaining unit, configured to obtain a first temperature-rise rate according to the ambient temperature information and a slope of a curve;

a first control unit for controlling the cabin temperature according to the first rate of temperature rise.

Further, the apparatus further comprises:

the system comprises a first construction unit, a second construction unit and a third construction unit, wherein the first construction unit is used for constructing a first simulated transportation model, and the first simulated transportation model is a model for carrying out simulated transportation;

the first simulation unit is used for performing packing box placement simulation on the independently sealed reverse osmosis membranes and setting a first simulated transportation speed of the first simulated transportation model;

a twenty-fourth obtaining unit, configured to analyze, by using the first simulated transportation model, the stress of the independently sealed bag at the first simulated transportation speed to obtain a first stress analysis result, and obtain the first simulated transportation stress information according to the first stress analysis result.

Further, the apparatus further comprises:

the second construction unit is used for constructing a first stability evaluation model, wherein the stability evaluation model is obtained by training data, and each group of data in the training data comprises the first stress point analysis result, the compression resistance information, the first simulated transportation stress information and identification information for identifying the stability evaluation result;

the first judgment unit is used for setting a first stability evaluation parameter and judging whether the first stability evaluation model meets the first stability evaluation parameter after training;

a twenty-fifth obtaining unit, configured to, when the first stability assessment model satisfies the first stability assessment parameter, input the first force point analysis result, the compressive capacity information, and the first simulated transportation force information into the first stability assessment model, and obtain a stability assessment result of the independently sealed reverse osmosis membrane.

Referring to fig. 5, the electronic device according to an embodiment of the present application will be described, based on the same inventive concept as the reverse osmosis membrane intelligent transportation method according to the foregoing embodiment, and the embodiment of the present application further provides a reverse osmosis membrane intelligent transportation apparatus, including: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes an apparatus to perform the method of any of the first aspects.

The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.

Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of programs in accordance with the teachings of the present application.

The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.

The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.

The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement the reverse osmosis membrane intelligent transportation method provided by the above-mentioned embodiment of the present application.

Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.

Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The various illustrative logical units and circuits described in this application may be implemented or operated upon by design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computations, such as a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.

The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.

Claims

1. An intelligent transportation method for a reverse osmosis membrane is applied to an intelligent transportation detection device which is in communication connection with a first image acquisition device, and comprises the following steps:

obtaining first basic information of a reverse osmosis membrane, wherein the first basic information is basic information of the reverse osmosis membrane and comprises the following steps: multilayer structure information, surface micropore diameter, adsorption layer thickness and multilayer material information;

obtaining protection liquid information of the reverse osmosis membrane, wherein the protection liquid information comprises content information of protection liquid in the reverse osmosis membrane which is sealed independently;

obtaining the compression resistance information of the independently sealed reverse osmosis membrane according to the first basic information and the content information of the protective solution, and specifically comprising the following steps: analyzing the self pressure resistance of the reverse osmosis membrane; recording stress values at different stress-prone positions when maximum deformation occurs as the pressure resistance at the positions, and storing the recorded pressure resistance and corresponding positions in a one-to-one correspondence manner; analyzing the buffering capacity of the protection liquid information to stress, and recording the change value of force as the buffering capacity of the protection liquid when the protection liquid is stressed and when the protection liquid penetrates through the protection liquid and leaves; the method comprises the steps of obtaining the influence of the content of the protective solution on the buffering capacity of the protective solution on the force with the same magnitude by recording the buffering capacity of the protective solution under N groups of fixed densities and different contents, and further obtaining the buffering capacity on the force under unit content, wherein N is a positive integer greater than 1; the change value of the buffering capacity + the compressive capacity recorded at each position of the reverse osmosis membrane per se = the compressive capacity at each stress-susceptible position when the reverse osmosis membrane is integrally stored and transported;

obtaining a first image of a first packing box through the first image acquisition device, and analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image to obtain a first stress point analysis result;

obtaining first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtaining a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compression resistance information and the first simulated transportation stress information;

carrying out protection structure adjustment on the first packing box according to the stability evaluation result and then carrying out transportation;

the method further comprises the following steps:

obtaining an internal image of a first transport vehicle through the first image acquisition device, wherein the internal image of the first transport vehicle is an image including a packing box;

acquiring stress point information of a first bottom layer packing box according to the image in the first transport vehicle;

estimating stress information of the first bottom packing box according to the image in the first transport vehicle to obtain a first stress estimation result;

carrying out stress distribution on the first stress estimation result through the stress point information to obtain a first stress distribution result;

and evaluating the stability of the first bottom layer packing box according to the first stress distribution result to obtain a first evaluation result, and transporting the first bottom layer packing box after carrying out structure adjustment on the first bottom layer packing box according to the first evaluation result.

2. The method of claim 1, wherein the method further comprises:

acquiring a first transportation path and estimated time information along the way of the first transport vehicle;

acquiring path time node humidity information according to the first transportation path and the estimated information of the along-the-way time to obtain a first acquisition result;

acquiring the sealing degree information of the first transport vehicle, and evaluating the humidity change information of the first transport vehicle according to the sealing degree information and the first acquisition result to acquire a second evaluation result;

obtaining a material humidity influence coefficient of the first bottom layer bale case;

and evaluating the stability of the first bottom layer bale case according to the second evaluation result and the material humidity influence coefficient to obtain a third evaluation result, and adjusting the material of the first bottom layer bale case according to the third evaluation result.

3. The method of claim 2, wherein the device is communicatively coupled to a first temperature sensor, the method further comprising:

obtaining first real-time temperature information of the first transport vehicle through the first temperature sensor;

obtaining a first preset temperature threshold;

obtaining first real-time temperature information and first temperature difference information of the first preset temperature threshold;

and when the first temperature difference information meets a first preset condition, adjusting the compartment temperature of the first transport vehicle.

4. The method of claim 3, wherein the method further comprises:

obtaining a temperature time change curve of the first transport vehicle through the first temperature sensor;

when the first temperature difference information meets a first preset condition, obtaining a curve slope before a time node of the first temperature difference information according to the temperature time change curve;

obtaining the environmental temperature information at the time node when the first temperature difference information meets a first preset condition;

obtaining a first temperature rise rate according to the environment temperature information and the curve slope;

and controlling the temperature of the carriage according to the first heating rate.

5. The method of claim 1, wherein the method further comprises:

constructing a first simulated transportation model, wherein the first simulated transportation model is a model for carrying out simulated transportation;

performing packing box placement simulation on the independently sealed reverse osmosis membranes, and setting a first simulated transportation speed of the first simulated transportation model;

and carrying out stress analysis on the independently sealed sealing bag at the first simulated transportation speed through the first simulated transportation model to obtain a first stress analysis result, and obtaining the first simulated transportation stress information according to the first stress analysis result.

6. The method of claim 1, wherein the method further comprises:

constructing a first stability evaluation model, wherein the stability evaluation model is obtained by training data, and each group of data in the training data comprises the first stress point analysis result, the compression resistance information, the first simulated transportation stress information and identification information for identifying a stability evaluation result;

setting a first stability evaluation parameter, and judging whether the first stability evaluation model meets the first stability evaluation parameter after training;

and when the first stability evaluation model meets the first stability evaluation parameter, inputting the first stress point analysis result, the compressive capacity information and the first simulated transportation stress information into the first stability evaluation model to obtain a stability evaluation result of the independently sealed reverse osmosis membrane.

7. An intelligent reverse osmosis membrane transportation device, wherein the device comprises:

a first obtaining unit configured to obtain first basic information of a reverse osmosis membrane, the first basic information being basic information of the reverse osmosis membrane, including: multilayer structure information, surface micropore diameter, adsorption layer thickness and multilayer material information;

a second obtaining unit configured to obtain protective solution information of the reverse osmosis membrane, wherein the protective solution information includes protective solution content information in an independently sealed reverse osmosis membrane;

a third obtaining unit, configured to obtain, according to the first basic information and the protection solution content information, compressive capacity information of an independently sealed reverse osmosis membrane, and specifically include: analyzing the self pressure resistance of the reverse osmosis membrane; recording stress values at different stress-prone positions when maximum deformation occurs as the pressure resistance at the positions, and storing the recorded pressure resistance and corresponding positions in a one-to-one correspondence manner; analyzing the buffering capacity of the protection liquid information to stress, and recording the change value of force as the buffering capacity of the protection liquid when the protection liquid is stressed and when the protection liquid penetrates through the protection liquid and leaves; the method comprises the steps of obtaining the influence of the content of the protective solution on the buffering capacity of the protective solution on the force with the same magnitude by recording the buffering capacity of the protective solution under N groups of fixed densities and different contents, and further obtaining the buffering capacity on the force under unit content, wherein N is a positive integer greater than 1; the change value of the buffering capacity + the compressive capacity recorded at each position of the reverse osmosis membrane per se = the compressive capacity at each stress-susceptible position when the reverse osmosis membrane is integrally stored and transported;

the fourth obtaining unit is used for obtaining a first image of the first packing box through the first image collecting device, analyzing the stress position of the independently sealed reverse osmosis membrane in the first packing box according to the first image and obtaining a first stress point analysis result;

a fifth obtaining unit, configured to obtain first simulated transportation stress information of the independently sealed reverse osmosis membrane, and obtain a stability evaluation result of the independently sealed reverse osmosis membrane according to the first stress point analysis result, the compressive capacity information, and the first simulated transportation stress information;

the first execution unit is used for carrying out transportation after the protection structure of the first packing box is adjusted according to the stability evaluation result;

the device further comprises:

8. An intelligent reverse osmosis membrane transporter, comprising: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes an apparatus to perform the method of any of claims 1 to 6.