CN114472386A - Intelligent cleaning method and system for granular powder conveying device - Google Patents
Intelligent cleaning method and system for granular powder conveying device Download PDFInfo
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- CN114472386A CN114472386A CN202210084993.XA CN202210084993A CN114472386A CN 114472386 A CN114472386 A CN 114472386A CN 202210084993 A CN202210084993 A CN 202210084993A CN 114472386 A CN114472386 A CN 114472386A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B9/00—Cleaning hollow articles by methods or apparatus specially adapted thereto
- B08B9/02—Cleaning pipes or tubes or systems of pipes or tubes
- B08B9/027—Cleaning the internal surfaces; Removal of blockages
- B08B9/032—Cleaning the internal surfaces; Removal of blockages by the mechanical action of a moving fluid, e.g. by flushing
- B08B9/0321—Cleaning the internal surfaces; Removal of blockages by the mechanical action of a moving fluid, e.g. by flushing using pressurised, pulsating or purging fluid
- B08B9/0325—Control mechanisms therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B2209/00—Details of machines or methods for cleaning hollow articles
- B08B2209/02—Details of apparatuses or methods for cleaning pipes or tubes
- B08B2209/027—Details of apparatuses or methods for cleaning pipes or tubes for cleaning the internal surfaces
- B08B2209/032—Details of apparatuses or methods for cleaning pipes or tubes for cleaning the internal surfaces by the mechanical action of a moving fluid
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Abstract
The invention provides an intelligent cleaning method and system for a granular powder conveying device, wherein the method comprises the following steps: acquiring first conveying environment information and first conveying material information according to the first powder conveying information; acquiring first conveying pipeline material information and first conveying material information according to the first conveying material information; constructing a residue screening channel based on the first conveying environment information; inputting the first conveying pipeline material information and the first conveying material information into a residue screening channel to obtain a first residue set, wherein the first residue set comprises first residue type information and first residue proportion information; obtaining first residue remaining amount information according to a first cleaning period; and matching the first cleaning liquid and the first cleaning parameter according to the first residue type information, the first residue proportion information and the first residue remaining amount information, and cleaning.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent cleaning method and system for a granular powder conveying device.
Background
Along with the continuous development of intelligent manufacturing, the intelligent degree of all kinds of working instruments is constantly promoted, for example, the conveyor of granular powder has preliminarily realized carrying semi-automatization and carrying the back and carry out simple cleaning work to pipeline.
At present to pipeline's cleaning work use pressure device to impress rivers and wash usually, but carry out the inside change of pipeline after the work for a certain time in fact and can lead to appearing the adhesion thing of multiple difficult processing, like the oxidation material to and the transported substance who blocks, therefore simple cleaning work often the cleaning performance not good, lacks effectual conveyor cleaning scheme.
In the prior art, the residue inside the conveying device is cleaned without pertinence, so that the technical problem of poor flushing effect exists.
Disclosure of Invention
The embodiment of the application provides an intelligent cleaning method and system for a granular powder conveying device, and solves the technical problem that in the prior art, the washing effect is poor due to the fact that the pertinence of the cleaning of residues inside the conveying device is poor.
In view of the foregoing problems, embodiments of the present application provide an intelligent cleaning method and system for a particle conveying device.
In a first aspect, an embodiment of the present application provides an intelligent cleaning method for a particle conveying device, where the method includes: obtaining first conveying environment information and first conveying material information according to the first particle powder conveying information; acquiring first conveying pipeline material information and first conveying material information according to the first conveying material information; constructing a residue screening channel based on the first conveying environment information; inputting the first conveying pipeline material information and the first conveying material information into the residue screening channel to obtain a first residue set, wherein the first residue set comprises first residue type information and first residue proportion information; obtaining first residue remaining amount information according to a first cleaning period; matching a first cleaning liquid and a first cleaning parameter according to the first residue type information, the first residue proportion information and the first residue remaining amount information; and cleaning according to the first cleaning liquid and the first cleaning parameter.
On the other hand, the embodiment of the present application provides a granule conveyor's intelligent cleaning system, the system includes: a first obtaining unit configured to obtain first conveying environment information and first conveying material information according to the first granular powder conveying information; the second obtaining unit is used for obtaining the material information of the first conveying pipeline and the material information of the first conveyed material according to the first conveyed material information; a first construction unit, configured to construct a residue screening channel based on the first transportation environment information; a third obtaining unit, configured to input the first conveying pipeline material information and the first conveying material information into the residue screening channel, and obtain a first residue set, where the first residue set includes first residue type information and first residue proportion information; a fourth obtaining unit, configured to obtain information on a first remaining amount of the residue according to the first cleaning cycle; a first matching unit for matching a first cleaning liquid and a first cleaning parameter according to the first residue type information, the first residue proportion information, and the first residue remaining amount information; and the first execution unit is used for cleaning according to the first cleaning liquid and the first cleaning parameter.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method according to any one of the first aspect when executing the program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method of any one of the first aspect.
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 method of collecting the information of the conveying environment and the information of the conveying materials; the conveying material information comprises conveying pipeline materials and conveying material materials; conveying pipelines in different conveying environments can have residues in different types and different proportions after conveying, and a residue screening channel suitable for the current conveying environment is constructed through conveying environment information; inputting the conveying pipeline material and the conveying material into a residue screening channel, so that a residue set which is fit for the current conveying environment can be determined; obtaining residue remaining quantity according to the period interval of cleaning the conveying pipeline; further according to the technical scheme that the cleaning liquid and the cleaning parameters are matched according to the residue type information, the residue proportion and the residue remaining amount in the residue set, the corresponding cleaning liquid and cleaning parameters are determined according to the residue type, and then the targeted cleaning of the conveying device is achieved, and further the technical effect of good cleaning effect is achieved.
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 cleaning method for a particle conveying device according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating a construction process of a residue screening channel in an intelligent cleaning method for a particle conveying device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an intelligent cleaning system of a granular powder conveying device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of the reference numerals: the device comprises a first obtaining unit 11, a second obtaining unit 12, a first constructing unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a first matching unit 16, a first executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303 and a bus architecture 304.
Detailed Description
The embodiment of the application provides an intelligent cleaning method and system for a granular powder conveying device, solves the technical problem that in the prior art, due to the fact that the residue inside the conveying device is cleaned without pertinence, the washing effect is poor, the targeted cleaning of the conveying device is achieved by determining corresponding cleaning liquid and cleaning parameters according to the type of the residue, and the technical effect of good cleaning effect is achieved.
Summary of the application
The prior art uses pressure device to impress rivers and wash to the washing of granule powder conveyor usually, but because lack the pertinence to the inside residue of conveyor, leads to having the relatively poor technical problem of washing effect.
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 cleaning method and system for a granular powder conveying device, and conveying environment information and conveying material information are collected; the conveying material information comprises conveying pipeline materials and conveying material materials; conveying pipelines in different conveying environments can have residues in different types and different proportions after conveying, and a residue screening channel suitable for the current conveying environment is constructed through conveying environment information; inputting the conveying pipeline material and the conveying material into a residue screening channel, so that a residue set which is fit for the current conveying environment can be determined; obtaining residue remaining quantity according to the period interval of cleaning the conveying pipeline; further according to the technical scheme that the cleaning liquid and the cleaning parameters are matched according to the residue type information, the residue proportion and the residue remaining amount in the residue set, the corresponding cleaning liquid and cleaning parameters are determined according to the residue type, and then the targeted cleaning of the conveying device is achieved, and the technical effect of good cleaning effect is achieved.
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 cleaning method for a particle conveying device, where the method includes:
s100: acquiring first conveying environment information and first conveying material information according to the first powder conveying information;
s200: acquiring first conveying pipeline material information and first conveying material information according to the first conveying material information;
specifically, the granular powder refers to granular powder, which is a substance to be conveyed, and due to the small particle size of the granular powder, when the conveying device is worn or has high moisture content and passes through a non-smooth channel of the conveying device, the granular powder is blocked in the conveying device; in addition, due to the change of the conveying environment information of the conveying device, oxide or other substances accompanied by the oxide may appear inside the conveying device, such as: if the conveying device is made of metal, metal oxides such as rust may remain in the conveying device. Therefore, the conveying channel of the granular powder needs to be periodically cleaned, and the cleaning of the conveying channel of the granular powder is guaranteed.
The first granular powder conveying information refers to basic information of a granular powder conveying process, including but not limited to first conveying environment information and first conveying material information; the first conveying environment information refers to environment information of the first powder during conveying, and includes but is not limited to: environmental factors such as temperature, humidity, pH value, etc.; the first conveying material information refers to material information of first granular bodies, such as: plastic particles and the like, which are recorded as the first conveyed material information; and material information of the delivery conduit within the delivery device, illustratively: and the material types of stainless steel, iron, alloy and the like are recorded as the material information of the first conveying pipeline.
Under different environmental information, different materials have different chemical reactions and physical states, and the conveying environmental information and the conveying material information during conveying are determined, so that a data base is laid for the subsequent screening of accurate residues.
S300: constructing a residue screening channel based on the first conveying environment information;
specifically, the residue screening channel refers to a functional module which is constructed based on a plurality of expert groups with non-intercommunicating information and combined with real-time conveying environment information and used for evaluating a residue set after conveying the first powder. After the construction is completed, the conveying pipeline material information and the conveying material information are input into the residue screening channel, the conveying pipeline material information and the conveying material information can be copied into data volume the same as the number of the expert groups, the data volume is parallelly sent to each expert group, the expert groups evaluate the types of residues and the rough proportion of various residues which can appear under the first conveying environment information based on physical and chemical knowledge, the refined conveying device cleaning can be carried out according to the types of the residues and the rough proportion of various residues, and the objectivity of an evaluation result is improved based on the evaluation of the expert groups.
Further, earlier stage when the data bulk of analysis is not enough, rely on the expert group to filter the residue, when the data bulk is enough, carry out the residue and filter when can combining the deep learning to construct intelligent evaluation model, the efficiency of processing can be stronger in the time.
S400: inputting the first conveying pipeline material information and the first conveying material information into the residue screening channel to obtain a first residue set, wherein the first residue set comprises first residue type information and first residue proportion information;
specifically, the first residue set refers to residues determined by inputting the first conveying pipeline material information and the first conveying material information into the residue screening channel and evaluating through a plurality of expert groups when the construction of the residue screening channel is completed, and the residues comprise a plurality of types of residues and corresponding proportion information; storing two sets of data corresponding to each other, preferably in a list, of all residue types and corresponding ratio information, and recording the two sets of data as the first residue type information and the first residue ratio information. The theoretical residues generated by the material information of the first conveying pipeline and the material information of the first conveying pipeline are evaluated through the residue screening channel based on the current first conveying environment information, and the objectivity and comprehensiveness of the evaluation result are guaranteed through the evaluation of a plurality of expert groups, so that the subsequent fine and comprehensive effective cleaning effect is guaranteed.
S500: obtaining first residue remaining amount information according to a first cleaning period;
further, based on the obtaining of the first residue remaining amount information according to the first cleaning cycle, the step S500 includes:
s510: when the first cleaning period is met, obtaining first conveying frequency, first conveying amount information and first conveying speed information;
s520: obtaining a first retention amount calculation formula:
wherein X is the final total amount of residue remaining, f is the conveying frequency of the conveyed material, T is the cleaning period, wmIs the m-th residue ratio, xmResidual physical theory of the m-th type, btIs the delivery quantity at time 0-t, kmThe influence coefficient of the environmental factors on the residual quantity of the mth type, T is the conveying time length of the cleaning period T beginning of the conveyed object, vtThe average conveying speed at the time of 0-t;
s530: constructing a residue retention calculation channel according to the first retention calculation formula;
s540: inputting the first conveying frequency, the first conveying amount information, and the first conveying speed information into the residue remaining amount calculation channel, to obtain the first residue remaining amount information.
Specifically, the first cleaning cycle refers to a cleaning cycle of a first conveying pipeline in a preset conveying device, and can be set by a worker, if the cleaning cycle is not set, the cleaning cycle belongs to a default value, wherein the default value is 14 days/time; the first residual remaining amount information refers to a residual remaining amount determined according to the total conveying amount, the conveying speed and the conveying time length of the first powder in the first cleaning period.
The specific confirmation method is as follows:
acquiring first conveying frequency, first conveying amount information and first conveying speed information in a first cleaning period, and recording the first conveying frequency, the first conveying amount information and the first conveying speed information as: f. b is a mixture oft、vtAnd t is the cleaning time from the time when the last cleaning is finished to the current time and is marked as 0, and if the cleaning is carried out in each cleaning period, t is less than or equal to the first cleaning period. Further, if the cleaning is not performed at a certain time, t is larger than the first cleaning period, depending on the actual cleaning condition.
The first conveying frequency is 0-t times of conveying the first granular powder, the first conveying amount information refers to 0-t total conveying amount of the first granular powder, and the first conveying speed information refers to 0-t average conveying speed of the first granular powder.
By empirical formula: the first retention amount calculation formula:
wherein X is the final total amount of residue remaining, f is the conveying frequency of the conveyed material, T is the cleaning period, wmIs the m-th residue ratio, xmResidual physical theory of the m-th type, btIs the delivery quantity at time 0-t, kmThe influence coefficient of the environmental factors on the residual quantity of the mth type, T is the conveying time length of the cleaning period T beginning of the conveyed object, vtThe average speed of the conveyance at the time 0-t.
Constructing a residue retention calculation channel, wherein wmFor the aforementioned known data, kmAnd xmHow this is determined will be explained separately in the subsequent steps, and f, bt、t、vtAlso known data: the residue retention amount of the conveying pipeline in the conveying device can be calculated through the first retention amount calculation formula, and accurate reference data is provided for matching the cleaning liquid for neutralizing the residue by combining the residue type and the proportion data.
S600: matching a first cleaning liquid and a first cleaning parameter according to the first residue type information, the first residue proportion information and the first residue remaining amount information;
further, based on the matching of the first cleaning liquid and the first cleaning parameter according to the first residue type information, the first residue proportion information, and the first residue remaining amount information, the step S600 includes:
s610: carrying out chemosensitivity analysis on the first residue type information to obtain a first cleaning doping substance;
s620: obtaining a first cleaning doping substance ratio according to the first residue ratio information;
s630: obtaining a first cleaning doping substance doping amount according to the first residue remaining amount information, wherein the first cleaning doping substance, the first cleaning doping substance proportion and the first cleaning doping substance doping amount are in one-to-one correspondence;
s640: sending the first cleaning doping substance, the first cleaning doping substance proportion and the first cleaning doping substance doping amount to a worker, and configuring the first cleaning solution;
s650: and setting the first cleaning parameter according to a first preset cleaning time and the first cleaning liquid, wherein the first cleaning parameter comprises the flow speed of the cleaning liquid.
S700: and cleaning according to the first cleaning liquid and the first cleaning parameter.
Specifically, according to the first residue type information, the first residue proportion information, and the first residue remaining amount information, a first cleaning liquid and a first cleaning parameter are matched, specifically, the following process is performed:
the first cleaning dopant species is referred to as matching the corresponding process species for first residue type information across the first residue type information, illustratively as: the residue type is a metal oxide, and the chemical species that can react with it can be selected, including but not limited to: acetic acid, detergent, etc., it is possible that multiple types of residues may be cleaned using the same process species, and thus the first cleaning dopant species may be the same for different types of residues.
The first cleaning doping substance proportion refers to proportion data of different types of first cleaning doping substances determined according to the proportion relation and the dissolution proportion of the chemical reaction by traversing the first residue proportion information; further, the doping amount of the first cleaning doping substance is determined by combining the proportional relation and the dissolution proportion of the chemical reaction with the information of the remaining amount of the first residue, so that the doping amount to be doped of the cleaning doping substances of different types, namely water, can be determined according to the proportion of the first cleaning doping substance: the proportion of dopant may be determined according to the specific cleaning conditions, with default values of 1000: 1.
the worker is a worker who prepares the first cleaning solution, and the first cleaning solution refers to the cleaning solution prepared by the worker and can comprehensively clean the conveying device through the first cleaning solution when the first cleaning doping substance, the first cleaning doping substance proportion and the first cleaning doping substance doping amount are determined to be finished.
The first cleaning parameter refers to a parameter for controlling the cleaning equipment to clean the conveying pipeline of the conveying device, the first preset cleaning time refers to a preset longest cleaning time, and since the aperture of the conveying pipeline is determined, the first cleaning parameter is mainly the impact pressure of the first cleaning liquid, and the impact pressure can be represented by the flow speed of the cleaning liquid, so that the flow speed of the cleaning liquid is preferably used to represent the first cleaning parameter, and other cleaning parameters can be added subsequently according to the actual cleaning condition.
Further, if the first cleaning dopants react with each other, a multi-level cleaning solution may be configured, and the cleaning solutions of different layers react with each other but cannot contact each other due to different cleaning sequences, and then the cleaning parameters at this time include a cleaning solution cleaning flow, a cleaning solution flow rate, and the like, for example: if the cleaning solution layer is three layers, the cleaning process is as follows: the method comprises the steps of first-level cleaning solution, clear water cleaning, second-level cleaning solution, clear water cleaning, third-level cleaning solution, clear water cleaning, drying and cleaning.
Furthermore, the conveying device is cleaned based on the first cleaning liquid and the first cleaning parameters, so that the first cleaning doping substances are prevented from reacting with each other, the cleaning effect of the conveying pipeline inside the conveying device is also ensured, and the technical effects of improving the cleaning efficiency and the cleaning effect of the conveying pipeline inside the conveying device are achieved.
Further, as shown in fig. 2, a residue screening channel is constructed based on the first conveying environment information, and step S300 includes:
s310: performing element extraction on the first conveying environment information to obtain a first element set, wherein the first element set comprises first temperature information, first humidity information and first pH value information;
s320: obtaining a first evaluation channel, a second evaluation channel and an Nth evaluation channel, wherein the evaluation channels are used for evaluating residues based on expert experience, and information processing isolation states between every two evaluation channels are obtained;
s330: and inputting the first element set into the first evaluation channel in parallel, and performing environment element updating on the second evaluation channel until the Nth evaluation channel to generate the residue screening channel.
Specifically, the first element set refers to a result determined after the environmental element extraction is performed on the first conveying environment information, and includes, but is not limited to: first temperature information, first humidity information and first pH value information; the first evaluation channel, the second evaluation channel and the Nth evaluation channel refer to channels for transmitting data to a first expert group, a second expert group and an Nth expert group; the assessment channel is used for assessing residues based on expert experience, the assessment channel processes the isolation state between every two assessment channels, assessment data of each expert group can be stored and recorded, when the assessment data of the expert groups meet a preset data volume, an intelligent model can be trained and constructed for intelligent assessment, and the preset data volume is the lowest data volume of the intelligent model.
And inputting the first element set into the first evaluation channel in parallel, and completing the updating of the environmental elements of the N expert groups by the second evaluation channel until the Nth evaluation channel, thereby completing the construction of a residue screening channel suitable for conveying the first granular powder.
The first evaluation channel, the second evaluation channel and the Nth evaluation channel are used for screening the residues conveyed by the first granular powder, and every two evaluation channels are in an information isolation state, so that interaction among a plurality of expert groups is guaranteed, and the obtained feedback result has objectivity.
Further, based on the inputting the first conveying pipeline material information and the first conveying material information into the residue screening channel, a first residue set is obtained, and the step S400 includes:
s410: after the environmental elements of the residue screening channel are updated, inputting the material information of the first conveying pipeline and the material information of the first conveying pipeline into the first evaluation channel in parallel, and obtaining a first evaluation result, a second evaluation result and an Nth evaluation result from the second evaluation channel to the Nth evaluation channel;
s420: and performing residue type and residue proportion extraction and summation calculation on the first evaluation result, the second evaluation result and the Nth evaluation result to obtain the first residue set.
Specifically, the first evaluation result, the second evaluation result and the nth evaluation result refer to results obtained after the first conveying pipeline material information and the first conveying material information are input into the first evaluation channel in parallel after the environmental elements of the residue screening channel are updated, the second evaluation channel passes through the first expert group and the second expert group after the nth evaluation channel, and each evaluation result has corresponding residue type and residue approximate proportion data.
Furthermore, the first residue set refers to traversing the first evaluation result and the second evaluation result until the Nth evaluation result, merging and calculating the types, calculating the average value of the proportion data, and further determining a data set representing all the residue types and corresponding proportions.
Further, based on the obtaining the first retention amount calculation formula, step S520 includes:
s521: setting a first environmental impact coefficient according to the first residue type information and the first residue proportion information;
s522: inputting the first conveying pipeline material information and the first conveying material information into a stock remaining prediction model to obtain a first prediction result, wherein the first prediction result comprises a residual physical theoretical stock remaining;
s523: and constructing the first retention calculation formula according to the first environmental influence coefficient and the residual physical theory retention amount.
Specifically, the first environmental influence coefficient refers to the degree of influence of the environmental element on the corresponding residue type, i.e., k in the first retention amount calculation formula. An exemplary manner of determination is: because the first residue proportion information is determined based on different environment elements, the first environment influence coefficient can be determined through the first residue proportion information, namely, the influence degree of the environment elements on the remaining amount of the corresponding residue types is represented, the larger the residue proportion is, the larger the environment influence coefficient of the corresponding residue types is, the specific value can be adjusted according to the actual flushing effect, and the default value is 1.
The residual quantity prediction model refers to an intelligent model for evaluating the theoretical residual quantity after the first powder is conveyed in an ideal conveying environment, and is preferably processed by using a support vector machine, and the support vector machine can learn the classified samples according to a supervised learning mode, so that the method has the technical advantages of high learning speed, accurate processing result and the like; the first prediction result refers to a residual physical theoretical residual quantity obtained by inputting the first conveying pipeline material information and the first conveyed material information into a built residual quantity prediction model and representing the first powder conveyed in an ideal conveying environment, wherein the ideal conveying environment is the best conveying environment of the first powder customized by a worker, namely the conveying environment with the least residual quantity is generated. Further, if the theoretical remaining amount of the m-th type residue is 0, xm1. The theoretical amount of retention of all types of residue was determined in the above manner.
Furthermore, after the first environmental influence coefficient and the residual physical theory remaining amount are determined, a first remaining amount calculation formula can be constructed, a residual remaining amount calculation channel is further generated, the residual remaining amount is calculated, quantitative data are provided for cleaning of the conveying pipeline, and the fineness of the cleaning process is guaranteed.
Further, based on the inputting of the first conveying pipeline material information and the first conveying material information into the inventory prediction model, the previous step S522 includes:
s5221: obtaining historical data of a material of a conveying pipeline, historical data of a conveyed material and identification data of theoretical reserved quantity, wherein the identification data of the theoretical reserved quantity is expert identification information;
s5222: inputting the historical data of the material of the conveying pipeline, the historical data of the material to be conveyed and the identification data of the theoretical reserved amount into a support vector machine for training to obtain the reserved amount prediction model.
Specifically, the historical data of the conveying pipeline material, the historical data of the conveying material and the identification data of the theoretical remaining amount are training data used for training a support vector machine, wherein the historical data of the conveying pipeline material and the historical data of the conveying material are easy to obtain, the identification data of the theoretical remaining amount can be identified through expert evaluation, a prediction model of the remaining amount needs to be built by using a support vector mechanism independent of large sample data because the number of pipeline cleaning data samples is small, and the classification model can be used for matching the types of the residues and the ideal conveying environment after the conveying pipeline material and the conveying material are input, so that the corresponding remaining amount of the residues can be further classified, and a more accurate output result can be obtained by using the support vector machine.
To sum up, the intelligent cleaning method and system for the particle powder conveying device provided by the embodiment of the application have the following technical effects:
1. the method adopts the method of collecting the information of the conveying environment and the information of the conveying materials; the conveying material information comprises conveying pipeline materials and conveying material materials; conveying pipelines in different conveying environments can have residues in different types and different proportions after conveying, and a residue screening channel suitable for the current conveying environment is constructed through conveying environment information; inputting the conveying pipeline material and the conveying material into a residue screening channel, so that a residue set which is fit for the current conveying environment can be determined; obtaining residue remaining quantity according to the period interval of cleaning the conveying pipeline; further according to the technical scheme that the cleaning liquid and the cleaning parameters are matched according to the residue type information, the residue proportion and the residue remaining amount in the residue set, the corresponding cleaning liquid and cleaning parameters are determined according to the residue type, and then the targeted cleaning of the conveying device is achieved, and further the technical effect of good cleaning effect is achieved.
2. The residue types are merged, and the average value of the comparison is calculated, so that more comprehensive residue type information is obtained, and an information feedback basis is provided for comprehensively and accurately matching the cleaning liquid in the subsequent step.
Example two
Based on the same inventive concept as the intelligent cleaning method and system method for the particle conveying device in the foregoing embodiments, as shown in fig. 3, an embodiment of the present application provides an intelligent cleaning system for a particle conveying device, where the system includes:
a first obtaining unit 11, configured to obtain first conveying environment information and first conveying material information according to the first granular powder conveying information;
a second obtaining unit 12, configured to obtain first conveying pipeline material information and first conveying material information according to the first conveying material information;
a first constructing unit 13, configured to construct a residue screening channel based on the first transportation environment information;
a third obtaining unit 14, configured to input the first conveying pipeline material information and the first conveying material information into the residue screening channel, so as to obtain a first residue set, where the first residue set includes first residue type information and first residue proportion information;
a fourth obtaining unit 15 configured to obtain first residue remaining amount information according to the first cleaning cycle;
a first matching unit 16, configured to match a first cleaning liquid and a first cleaning parameter according to the first residue type information, the first residue proportion information, and the first residue remaining amount information;
and a first execution unit 17, configured to perform cleaning according to the first cleaning liquid and the first cleaning parameter.
Further, the system further comprises:
a fifth obtaining unit, configured to perform element extraction on the first transportation environment information to obtain a first element set, where the first element set includes first temperature information, first humidity information, and first pH information;
a sixth obtaining unit, configured to obtain a first evaluation channel, a second evaluation channel, and up to an nth evaluation channel, where the evaluation channels are used to evaluate the residue based on expert experience, and the evaluation channels process the isolation status between each two evaluation channels;
and the first generation unit is used for inputting the first element set into the first evaluation channel in parallel, and the second evaluation channel carries out environmental element updating until the Nth evaluation channel to generate the residue screening channel.
Further, the system further comprises:
a seventh obtaining unit, configured to, after the updating of the environmental elements of the residue screening channel is completed, input the first transportation pipeline material information and the first transportation material information in parallel into the first evaluation channel, the second evaluation channel reaches the nth evaluation channel, and obtain a first evaluation result, a second evaluation result reaches the nth evaluation result;
an eighth obtaining unit, configured to perform residue type and residue ratio extraction on the first evaluation result, the second evaluation result, and up to the nth evaluation result, and perform summation calculation to obtain the first residue set.
Further, the system further comprises:
a ninth obtaining unit configured to obtain a first conveying frequency, first conveying amount information, and first conveying speed information when the first cleaning cycle is satisfied;
a tenth obtaining unit configured to obtain a first retention amount calculation formula:
wherein X is the final total amount of residue remaining, f is the conveying frequency of the conveyed material, T is the cleaning period, wmIs the m-th residue ratio, xmM type of residual physical theory remaining amount, btIs the delivery quantity at time 0-t, kmThe influence coefficient of the environmental factors on the residual quantity of the mth type, T is the conveying time length of the cleaning period T beginning of the conveyed object, vtThe average conveying speed at the time of 0-t;
the first construction unit is used for constructing a residue retention calculation channel according to the first retention calculation formula;
an eleventh obtaining unit configured to input the first conveying frequency, the first conveying amount information, and the first conveying speed information into the residue remaining amount calculation passage, and obtain the first residue remaining amount information.
Further, the system further comprises:
a first setting unit configured to set a first environmental influence coefficient based on the first residue type information and the first residue ratio information;
a twelfth obtaining unit, configured to input the first transportation pipe material information and the first transportation material information into a stock keeping prediction model, and obtain a first prediction result, where the first prediction result includes a residual physical inventory;
and the second construction unit is used for constructing the first retention amount calculation formula according to the first environmental influence coefficient and the residual physical theory retention amount.
Further, the system further comprises:
a thirteenth obtaining unit, configured to obtain historical data of a conveying pipeline material, historical data of a conveyed material, and theoretical retained amount identification data, where the theoretical retained amount identification data is expert identification information;
and a fourteenth obtaining unit, configured to input the historical data of the conveying pipeline material, the historical data of the conveyed material, and the identification data of the theoretical remaining amount into a support vector machine for training, so as to obtain the remaining amount prediction model.
Further, the system further comprises:
a fifteenth obtaining unit, configured to perform chemosensitivity analysis on the first residue type information to obtain a first cleaning dopant substance;
a sixteenth obtaining unit, configured to obtain a first cleaning doping substance ratio according to the first residue ratio information;
a seventeenth obtaining unit, configured to obtain a first cleaning doping substance doping amount according to the first residue remaining amount information, where the first cleaning doping substance, the first cleaning doping substance proportion, and the first cleaning doping substance doping amount are in one-to-one correspondence;
a first configuration unit, configured to send the first cleaning dopant, the first cleaning dopant proportion, and the first cleaning dopant doping amount to a worker, and configure the first cleaning solution;
and the second setting unit is used for setting the first cleaning parameter according to a first preset cleaning time and the first cleaning liquid, wherein the first cleaning parameter comprises the flow speed of the cleaning liquid.
EXAMPLE III
Based on the same inventive concept as the intelligent cleaning method for the particle powder conveying device in the foregoing embodiments, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when executed by a processor, the computer program implements the method in any one of the embodiments.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 4.
Based on the same inventive concept as the intelligent cleaning method for the particle powder conveying device in the foregoing embodiment, an embodiment of the present application further provides an electronic device, including: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system 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. 4, but this does not indicate only one bus or one type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), 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 intelligent cleaning method for the particle conveying apparatus provided by the above embodiments 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.
The embodiment of the application provides an intelligent cleaning method and system for a granular powder conveying device, and conveying environment information and conveying material information are collected; the conveying material information comprises conveying pipeline materials and conveying material materials; conveying pipelines in different conveying environments can have residues in different types and different proportions after conveying, and a residue screening channel suitable for the current conveying environment is constructed through conveying environment information; inputting the conveying pipeline material and the conveying material into a residue screening channel, so that a residue set which is fit for the current conveying environment can be determined; obtaining residue remaining quantity according to the period interval of cleaning the conveying pipeline; further according to the technical scheme that the cleaning liquid and the cleaning parameters are matched according to the residue type information, the residue proportion and the residue remaining amount in the residue set, the corresponding cleaning liquid and cleaning parameters are determined according to the residue type, and then the targeted cleaning of the conveying device is achieved, and further the technical effect of good cleaning effect is achieved.
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 system. 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 general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, 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 computing systems, e.g., 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 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 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 present application and its equivalent technology, it is intended that the present application include such modifications and variations.
Claims (10)
1. An intelligent cleaning method for a particle conveying device is characterized by comprising the following steps:
acquiring first conveying environment information and first conveying material information according to the first powder conveying information;
acquiring first conveying pipeline material information and first conveying material information according to the first conveying material information;
constructing a residue screening channel based on the first conveying environment information;
inputting the first conveying pipeline material information and the first conveying material information into the residue screening channel to obtain a first residue set, wherein the first residue set comprises first residue type information and first residue proportion information;
obtaining first residue remaining amount information according to a first cleaning period;
matching a first cleaning liquid and a first cleaning parameter according to the first residue type information, the first residue proportion information and the first residue remaining amount information;
and cleaning according to the first cleaning liquid and the first cleaning parameter.
2. The method of claim 1, wherein constructing a residue screening channel based on the first delivery environment information comprises:
performing element extraction on the first conveying environment information to obtain a first element set, wherein the first element set comprises first temperature information, first humidity information and first pH value information;
obtaining a first evaluation channel, a second evaluation channel and an Nth evaluation channel, wherein the evaluation channels are used for evaluating residues based on expert experience, and the evaluation channels process isolation states between every two evaluation channels;
and inputting the first element set into the first evaluation channel in parallel, and updating environmental elements by the second evaluation channel until the Nth evaluation channel to generate the residue screening channel.
3. The method of claim 2, wherein said inputting the first conveying conduit material information and the first conveying material information into the residue screening channel to obtain a first residue collection comprises:
after the environmental elements of the residue screening channel are updated, inputting the material information of the first conveying pipeline and the material information of the first conveying pipeline into the first evaluation channel in parallel, and obtaining a first evaluation result, a second evaluation result and an Nth evaluation result from the second evaluation channel to the Nth evaluation channel;
and performing residue type and residue proportion extraction and summation calculation on the first evaluation result, the second evaluation result and the Nth evaluation result to obtain the first residue set.
4. The method of claim 1, wherein obtaining first residue retention information based on the first wash cycle comprises:
when the first cleaning period is met, obtaining first conveying frequency, first conveying amount information and first conveying speed information;
obtaining a first retention amount calculation formula:
wherein X is the final total amount of residue remaining, f is the conveying frequency of the conveyed material, T is the cleaning period, wmIs the m-th residue ratio, xmThe m seed residueLeaving physical theory to reserve amount, btIs the delivery quantity at time 0-t, kmThe influence coefficient of the environmental factors on the residual quantity of the mth type, T is the conveying time length of the cleaning period T beginning of the conveyed object, vtThe average conveying speed at the time of 0-t;
constructing a residue retention calculation channel according to the first retention calculation formula;
inputting the first conveying frequency, the first conveying amount information, and the first conveying speed information into the residue remaining amount calculation channel, to obtain the first residue remaining amount information.
5. The method of claim 4, wherein said obtaining a first retention calculation formula comprises:
setting a first environmental impact coefficient according to the first residue type information and the first residue proportion information;
inputting the first conveying pipeline material information and the first conveying material information into a stock remaining prediction model to obtain a first prediction result, wherein the first prediction result comprises a residual physical theoretical stock remaining;
and constructing the first retention calculation formula according to the first environmental influence coefficient and the residual physical theory retention amount.
6. The method of claim 5, wherein said inputting said first transport conduit material information and said first transport material information into an inventory prediction model previously comprises:
obtaining historical data of a material of a conveying pipeline, historical data of a conveyed material and identification data of theoretical reserved quantity, wherein the identification data of the theoretical reserved quantity is expert identification information;
inputting the historical data of the material of the conveying pipeline, the historical data of the material to be conveyed and the identification data of the theoretical reserved amount into a support vector machine for training to obtain the reserved amount prediction model.
7. The method of claim 1, wherein said matching a first cleaning solution and first cleaning parameters based on said first residue type information, said first residue fraction information, and said first residue retention information comprises:
carrying out chemosensitivity analysis on the first residue type information to obtain a first cleaning doping substance;
obtaining a first cleaning doping substance ratio according to the first residue ratio information;
obtaining a first cleaning doping substance doping amount according to the first residue remaining amount information, wherein the first cleaning doping substance, the first cleaning doping substance proportion and the first cleaning doping substance doping amount are in one-to-one correspondence;
sending the first cleaning doping substance, the first cleaning doping substance proportion and the first cleaning doping substance doping amount to a worker, and configuring the first cleaning solution;
and setting the first cleaning parameter according to a first preset cleaning time and the first cleaning liquid, wherein the first cleaning parameter comprises the flow speed of the cleaning liquid.
8. An intelligent cleaning system for a particle powder conveying device, the system comprising:
a first obtaining unit configured to obtain first conveying environment information and first conveying material information according to the first granular powder conveying information;
the second obtaining unit is used for obtaining the material information of the first conveying pipeline and the material information of the first conveyed material according to the first conveyed material information;
a first construction unit, configured to construct a residue screening channel based on the first transportation environment information;
a third obtaining unit, configured to input the first conveying pipeline material information and the first conveying material information into the residue screening channel, and obtain a first residue set, where the first residue set includes first residue type information and first residue proportion information;
a fourth obtaining unit, configured to obtain information on a first remaining amount of the residue according to the first cleaning cycle;
a first matching unit for matching a first cleaning liquid and a first cleaning parameter according to the first residue type information, the first residue proportion information, and the first residue remaining amount information;
and the first execution unit is used for cleaning according to the first cleaning liquid and the first cleaning parameter.
9. An electronic device, comprising: a processor coupled to a memory for storing a program, wherein the program, when executed by the processor, causes a system to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
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