CN116861193A - Ceramic fiber filter tube damage monitoring system based on big data - Google Patents

Ceramic fiber filter tube damage monitoring system based on big data Download PDF

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Publication number
CN116861193A
CN116861193A CN202311009228.2A CN202311009228A CN116861193A CN 116861193 A CN116861193 A CN 116861193A CN 202311009228 A CN202311009228 A CN 202311009228A CN 116861193 A CN116861193 A CN 116861193A
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filter tube
damage
filter
value
data
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Inventor
孙正庭
王魁
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Anhui Zishuo Environmental Engineering Technology Co ltd
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Anhui Zishuo Environmental Engineering Technology Co ltd
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Priority to CN202311009228.2A priority Critical patent/CN116861193A/en
Publication of CN116861193A publication Critical patent/CN116861193A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/0084—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours provided with safety means
    • B01D46/0086—Filter condition indicators
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/0084—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours provided with safety means
    • B01D46/0095—Means acting upon failure of the filtering system, e.g. in case of damage of the filter elements; Failsafes
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D46/00—Filters or filtering processes specially modified for separating dispersed particles from gases or vapours
    • B01D46/24—Particle separators, e.g. dust precipitators, using rigid hollow filter bodies
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147—Distances to closest patterns, e.g. nearest neighbour classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance

Abstract

The application provides a ceramic fiber filter tube damage monitoring system based on big data, which belongs to the technical field of Internet of things and comprises a data acquisition module, a data storage module, a data detection module, a signaling execution module, a damage position tracking module and a damage prediction module; the data detection module is used for analyzing the environmental data and the operation data of the ceramic fiber filter tube in real time to generate a corresponding filter tube processing signaling group; the damage position tracking module is used for analyzing the damage position to obtain damage position information. According to the application, through the functions of real-time data acquisition, damage position tracking and damage prediction analysis, the monitoring efficiency of the filter tube can be improved, the damage risk is reduced, the damage position information is provided, the manager is helped to make corresponding maintenance and replacement decisions, the use and maintenance of the filter tube are optimized by assistance, and the improvement of the production efficiency is promoted.

Description

Ceramic fiber filter tube damage monitoring system based on big data
Technical Field
The application relates to the technical field of the Internet of things, in particular to a ceramic fiber filter tube damage monitoring system based on big data.
Background
A ceramic fiber filter tube is a filter material for filtering and separating solid particles or liquid. It is made of ceramic fiber and has good high-temperature resistance, corrosion resistance and wear resistance. Ceramic fiber filter tubes are typically porous in structure, and the filtering effect can be controlled by the size and shape of the pores. The surface of the material can be specially treated to increase the adsorption performance, so that the material can remove suspended solid particles, microorganisms, bacteria and other impurities more effectively. Ceramic fiber filter tubes play an important role in some industrial applications, such as metallurgy, chemical industry, and the like.
With the promotion of industrial automation level and the application of internet of things, a large amount of filter tube operation data can be collected and stored, and the traditional filter tube monitoring method generally depends on manual inspection or periodic maintenance, so that the requirement of real-time monitoring of the filter tube cannot be met, the filter tube cannot be timely detected and processed due to damage or faults, production interruption and equipment faults are caused, and the filter tube which needs to be maintained or replaced cannot be quickly responded and processed, so that high maintenance cost and production loss are brought. Therefore, in order to effectively solve the limitations of the traditional monitoring method, the ceramic fiber filter tube damage monitoring system based on big data is provided to solve the problems.
Disclosure of Invention
Aiming at the defects existing in the prior art, the application provides a ceramic fiber filter tube damage monitoring system based on big data so as to solve the problems in the background art.
The aim of the application can be achieved by the following technical scheme: the system comprises a data acquisition module, a data storage module, a data detection module, a signaling execution module, a damage position tracking module and a damage prediction module;
the data acquisition module is used for acquiring environment data and operation data of the ceramic fiber filter tube and sending the environment data and the operation data to the data storage module for storage; the environmental data comprise temperature, humidity, air quality and chemical substance concentration, and the operation data comprise filter tube pressure, filter tube cleaning period, filter tube service time and filter tube flow;
the data detection module is used for analyzing the environmental data and the operation data of the ceramic fiber filter tube in real time to generate a corresponding filter tube processing signaling group; the filter tube processing signaling group comprises a filter tube dust removal signaling and a filter tube damage signaling; wherein, the specific real-time analysis is as follows:
the method comprises the steps of obtaining the length of a ceramic fiber filter tube, setting a unit length, dividing the filter tube into a plurality of filter tube sections in an equal amount according to the unit length, numbering according to the dividing sequence, detecting the flow and the pressure of the filter tube at a plurality of positions in the circumferential direction of the filter tube sections by using a particulate matter sensor and a pressure sensor, calculating the difference value of the flow of the filter tube at the inner part and the outer part to obtain a filter throttling difference, calculating the difference value of the pressure of the filter tube at the inner part and the outer part to obtain a filter throttling difference, and carrying out normalization calculation on the filter throttling difference and the filter throttling difference at the same position to obtain a flow pressure value;
acquiring the temperature, humidity, particulate matter concentration, chemical matter concentration, and filter tube cleaning period and filter tube service time of a plurality of positions of the filter tube segments along the circumferential direction; weighting and calculating the temperature, the humidity, the particulate matter concentration, the chemical matter concentration, the filter tube cleaning period, the filter tube use time and the flow pressure value of the plurality of positions to obtain influence values corresponding to the plurality of positions of the filter tube segments along the circumferential direction; substituting the influence values into the flow pressure line graph according to the filter tube division sequence, marking the positions of the influence values in the flow pressure line graph as influence points, connecting adjacent influence points to obtain an influence line, calculating the slope of the influence line, and selecting the absolute values of slope values adjacent to any influence point to perform mean value calculation to obtain a damage value; comparing the damage value with a preset normal threshold, generating a filter tube damage signaling if the damage value is larger than the preset normal threshold, and generating a filter tube dust removal signaling if the damage value is smaller than the preset normal threshold.
The signaling execution module is used for receiving the signaling corresponding to the filtering pipe processing signaling group to execute corresponding operations, and specifically comprises the following steps:
triggering the filter tube dust removal equipment to carry out dust removal operation on the filter tube corresponding to the number when a filter tube dust removal signaling is received;
when a filter tube breakage signaling is received, transmitting the filter tube breakage position information corresponding to the filter tube breakage signaling to an intelligent terminal of a maintainer; after receiving the damage position information through the intelligent terminal, maintenance personnel maintain the filter tube;
the damage position tracking module is used for analyzing the damage position, acquiring influence values of a plurality of positions of the filter tube segment along the circumferential direction, selecting the largest and smallest influence values of the filter tube segment in the plurality of positions along the circumferential direction, and carrying out difference calculation on the largest and smallest influence values to obtain an influence difference; comparing the influence difference value with a preset normal threshold value, if the influence difference value is smaller than the preset normal threshold value, selecting the position corresponding to the smallest influence difference value and marking the position as a blocking abnormal position, and if the influence difference value is larger than the preset normal threshold value, selecting the position corresponding to the largest influence difference value and marking the position as a breakage abnormal position; marking the number of the filter tube and the corresponding blockage abnormal part, the corresponding breakage abnormal part and the division sequence number of breakage and blockage of the segment of the filter tube as breakage position information;
the pre-damage analysis module is used for carrying out damage prediction analysis on the filter tube so as to obtain an estimated item of the filter tube; and obtaining estimated breakage position information by carrying out breakage position analysis processing on the estimated items.
As a preferred embodiment of the present application, the filter tube breakage prediction analysis is performed as follows:
acquiring historical real-time information of a filter tube, and establishing a historical real-time matrix; the real-time information comprises temperatures, humidity, particulate matter concentration, chemical matter concentration and corresponding filter tube cleaning period, filter tube service time and damage value of the filter tube segments at a plurality of positions along the circumferential direction; obtaining history similar information through a KNN algorithm, selecting the history similar information of a set number of corresponding times of the history real-time information items corresponding to the filter tubes, and establishing a history similar matrix; selecting a set number of recent parameters of the filter tube at the moment corresponding to the real-time information items to obtain a recent matrix; calculating through the historical similarity matrix and the recent matrix to obtain a predicted item of filter tube prediction; and carrying out damage position analysis processing on the estimated items to obtain estimated damage position information.
As a preferred embodiment of the present application, the present application further comprises a man-machine interaction module, wherein the man-machine interaction module comprises a registration login unit and a remote communication unit; the man-machine interaction module is used for displaying the operation data and the environment data of the filter tube and allowing a manager to set and configure the system;
the registration login unit is used for registering personnel information submitted by personnel, marking the personnel which are successfully registered as management personnel and sending the personnel information submitted correspondingly into the data storage module for storage; the personnel information comprises the area for monitoring the ceramic fiber filter tube and the corresponding name, time for entering the personnel and identity information;
the remote communication unit is connected with the intelligent terminal through network connection, the manager logs in through the intelligent terminal, and the manager who is successfully registered can remotely monitor and operate through the intelligent terminal;
as a preferred implementation mode of the application, the man-machine interaction module further comprises a report processing unit; the report processing unit is used for extracting the historical data of the filter tube from the data storage module, integrating the historical data to obtain a chart, a table and a line diagram, and performing visual display in the form of the chart, the table and the line diagram; and storing, printing or sharing the integrated charts, tables and line diagrams, so that the generated charts, tables and line diagrams can be exported in the form of electronic documents or paper documents.
As a preferred implementation mode of the application, the data detection module is also used for carrying out life prediction analysis on the filter tube and carrying out product comparison processing so as to obtain a cost performance list of the filter tube, wherein the specific analysis processing is as follows:
extracting influence values corresponding to a plurality of positions of the filter tube segments of each filter tube along the circumferential direction, and carrying out mean value calculation on the influence values to obtain heald image values of the corresponding filter tubes; setting a comprehensive threshold value of filter tube replacement, and calculating an estimated life value of the filter tube by using a prediction model; extracting estimated life values of all filter tubes in the same production batch of filter tubes, removing the maximum value and the minimum value of the estimated life values of all filter tubes, and carrying out average value calculation on the estimated life values of the rest filter tubes to obtain the estimated life average value of the filter tubes in the batch;
the method comprises the steps of obtaining a transportation distance between a manufacturer corresponding to a filter tube and a filter tube using manufacturer and the selling price of the filter tubes in a batch, and carrying out weight weighted calculation on the transportation distance, the selling price and the estimated life average value to obtain the property value of the filter tubes in the using batch and marking the property value as G1; acquiring the property values of the filter tubes of batches produced by other filter tube manufacturers and marking the property values as G2, comparing the property values of the filter tubes of the batches used with the property values of the filter tubes of batches produced by other filter tube manufacturers, if G1 is more than or equal to eG2, indicating that the filter tubes of the filter tube manufacturers do not need to be replaced, if G1 is less than eG2, generating a cost performance list of the filter tubes, and sending the cost performance list to a man-machine interaction unit for display; wherein e represents the acceptable floating coefficient of the property value of the filter tube corresponding to the batch, and the property price list of the filter tube comprises the ratio of the property value of the filter tube in the batch to the property value of the filter tube in batches produced by other filter tube manufacturers, the selling price, the address of the filter tube manufacturers and the connection mode.
Compared with the prior art, the application has the beneficial effects that:
1. the application can analyze the environmental data and the operation data of the filter tube in real time through the data detection module and the breakage position tracking module so as to generate the dust removal and damage signaling of the filter tube to execute corresponding operation, and provide corresponding breakage position information, thereby helping management personnel to quickly and accurately position the breakage position of the filter tube, realizing targeted maintenance and replacement operation of the damaged filter tube and improving maintenance accuracy and efficiency.
2. According to the application, the life prediction analysis is also carried out on the filter tube through the data detection module, and the product comparison treatment is carried out, so that the support of the life prediction, replacement strategy, sexual value comparison and supply chain management of the filter tube can be provided for the manager, the manager is assisted to make effective decisions, and the management efficiency and economic benefit are improved.
In summary, through the functions of real-time data acquisition, damage position tracking and damage prediction analysis, the application can improve the monitoring efficiency of the filter tube, reduce damage risk, provide damage position information, help management staff to make corresponding maintenance and replacement decisions, assist in optimizing the use and maintenance of the filter tube, and promote the improvement of production efficiency.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of a ceramic fiber filter tube damage monitoring system based on big data of the present application.
FIG. 2 is a block diagram of a human-computer interaction module of the ceramic fiber filter tube damage monitoring system based on big data of the application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
It should be understood that relevant information related to the present disclosure, including but not limited to user device information, user personal information, etc., and relevant data, including but not limited to data for presentation, analyzed data, etc., are information and data that are authorized by the user or sufficiently authorized by the parties.
Referring to fig. 1-2, the ceramic fiber filter tube damage monitoring system based on big data comprises a data acquisition module, a data storage module, a data detection module, a signaling execution module, a damage position tracking module and a damage prediction module;
the data acquisition module is used for acquiring environment data and operation data of the ceramic fiber filter tube and sending the environment data and the operation data to the data storage module for storage; the environmental data comprise temperature, humidity, air quality and chemical substance concentration, and the operation data comprise filter tube pressure, filter tube cleaning period, filter tube service time and filter tube flow;
the data detection module is used for analyzing the environmental data and the operation data of the ceramic fiber filter tube in real time to generate a corresponding filter tube processing signaling group; the specific real-time analysis is as follows:
the method comprises the steps of obtaining the length of a ceramic fiber filter tube, setting a unit length, dividing the filter tube into a plurality of filter tube sections in an equal amount according to the unit length, numbering according to the dividing sequence, detecting the flow and the pressure of the filter tube at a plurality of positions in the circumferential direction of the filter tube sections by using a particulate matter sensor and a pressure sensor, calculating the difference value of the flow of the filter tube at the inner part and the outer part to obtain a filter throttling difference, calculating the difference value of the pressure of the filter tube at the inner part and the outer part to obtain a filter throttling difference, and carrying out normalization calculation on the filter throttling difference and the filter throttling difference at the same position to obtain a flow pressure value;
acquiring the temperature, humidity, particulate matter concentration, chemical matter concentration, and filter tube cleaning period and filter tube service time of a plurality of positions of the filter tube segments along the circumferential direction; weighting and calculating the temperature, the humidity, the particulate matter concentration, the chemical matter concentration, the filter tube cleaning period, the filter tube use time and the flow pressure value of the plurality of positions to obtain influence values corresponding to the plurality of positions of the filter tube segments along the circumferential direction; substituting the influence values into the flow pressure line graph according to the filter tube division sequence, marking the positions of the influence values in the flow pressure line graph as influence points, connecting adjacent influence points to obtain an influence line, calculating the slope of the influence line, and selecting the absolute values of slope values adjacent to any influence point to perform mean value calculation to obtain a damage value; comparing the damage value with a preset normal threshold, generating a filter tube damage signaling if the damage value is larger than the preset normal threshold, and generating a filter tube dust removal signaling if the damage value is smaller than the preset normal threshold.
The signaling execution module is used for receiving the signaling corresponding to the filtering pipe processing signaling group to execute corresponding operations, and specifically comprises the following steps:
triggering the filter tube dust removal equipment to carry out dust removal operation on the filter tube corresponding to the number when a filter tube dust removal signaling is received;
when a filter tube breakage signaling is received, transmitting the filter tube breakage position information corresponding to the filter tube breakage signaling to an intelligent terminal of a maintainer; after receiving the damage position information through the intelligent terminal, maintenance personnel maintain the filter tube.
The damage position tracking module is used for analyzing the damage position, acquiring influence values of a plurality of positions of the filter tube segment along the circumferential direction, selecting the largest and smallest influence values of the filter tube segment in the plurality of positions along the circumferential direction, and carrying out difference calculation on the largest and smallest influence values to obtain an influence difference; comparing the influence difference value with a preset normal threshold value, if the influence difference value is smaller than the preset normal threshold value, selecting the position corresponding to the smallest influence difference value and marking the position as a blocking abnormal position, and if the influence difference value is larger than the preset normal threshold value, selecting the position corresponding to the largest influence difference value and marking the position as a breakage abnormal position; marking the number of the filter tube and the corresponding blockage abnormal part, the corresponding breakage abnormal part and the division sequence number of breakage and blockage of the segment of the filter tube as breakage position information;
the pre-damage analysis module is used for carrying out damage prediction analysis on the filter tube, and the specific analysis is as follows:
acquiring historical real-time information of a filter tube, and establishing a historical real-time matrixWherein n represents the number of the historical real-time information, m represents the numerical value corresponding to the historical real-time information, and the real-time information comprises the temperature, the humidity, the particulate matter concentration, the chemical matter concentration and the corresponding filter tube cleaning period, the filter tube using time and the breakage value of the filter tube segment at a plurality of positions along the circumferential direction of the filter tube segment; obtaining history similar information through KNN algorithm, selecting p pieces of history similar information of history real-time information items Ki corresponding to the filter tubes, marking the information as Giv, and establishing a history similar matrix +.>Q recent parameters of the real-time information item Ki of the filter tube are selected and marked as Hiv, resulting in a recent matrix +.>Calculation is performed by means of a history similarity matrix and a recent matrix, using the formula +.>To obtain a predicted term Kiv of the filter tube prediction; wherein (1)>fgi and fhi are respectively correction values of each parameter and Ki in the historical real-time matrix and correction values of each parameter and Ki in the recent matrix, and the correction values can be obtained through a Euclidean distance calculation formula; and carrying out damage position analysis processing on the estimated items to obtain estimated damage position information.
The pre-damage analysis module is used for obtaining a pre-estimated item for predicting the damage of the filter tube according to the historical real-time information and the recent parameters, obtaining pre-estimated damage position information according to the pre-estimated item, being beneficial to a manager to carry out preventive maintenance and reasonably arrange maintenance plans, reducing the risk of the damage of the filter tube and production downtime, and improving the service life and the operation efficiency of the filter tube; the filter tubes in the scheme are all ceramic fiber filter tubes, and are not described in detail herein.
The application also comprises a man-machine interaction module, wherein the man-machine interaction module comprises a registration login unit and a remote communication unit; the man-machine interaction module is used for displaying the operation data and the environment data of the filter tube and allowing a manager to set and configure the system;
the registration login unit is used for registering personnel information submitted by personnel, marking the personnel which are successfully registered as management personnel and sending the personnel information submitted correspondingly into the data storage module for storage; the personnel information comprises the area for monitoring the ceramic fiber filter tube and the corresponding name, time for entering the personnel and identity information;
the remote communication unit is connected with the intelligent terminal through network connection, a manager logs in through the intelligent terminal, and a manager who is successfully registered can remotely monitor and operate through the intelligent terminal;
in the application, the man-machine interaction module also comprises a report processing unit; the report processing unit is used for extracting the historical data of the filter tube from the data storage module, integrating the historical data to obtain a chart, a table and a line diagram, and performing visual display in the form of the chart, the table and the line diagram; and storing, printing or sharing the integrated charts, tables and line diagrams, so that the generated charts, tables and line diagrams can be exported in the form of electronic documents or paper documents.
By arranging the remote communication unit, a manager can log in the system through the intelligent terminal, so that remote monitoring and operation of the ceramic fiber filter tube are realized; the report processing unit is arranged to integrate and process the data, and the data is visually displayed in the form of a chart, a table and a line graph, so that a manager can more intuitively know the running trend and state of the filter tube, and the data analysis and decision making can be conveniently carried out; meanwhile, by storing, printing or sharing the integrated charts, tables and line diagrams, management staff can conveniently backup, share and display important data and analysis results, and communication and cooperation among teams are promoted; through being provided with man-machine interaction module for managers can conveniently operating system, remote monitoring and operation filter tube, manager identity authentication and authority management, and carry out data visualization and report processing, help improving system's ease of use, management efficiency and decision accuracy, further promote ceramic fiber filter tube damage monitored control system's optimization and the promotion of operation effect.
In the application, the data detection module is also used for carrying out life prediction analysis on the filter tube and carrying out product comparison processing to obtain a cost performance list of the filter tube, wherein the specific analysis processing is as follows:
extracting influence values corresponding to a plurality of positions of the filter tube segments of each filter tube along the circumferential direction, and carrying out mean value calculation on the influence values to obtain heald image values of the corresponding filter tubes; setting a comprehensive threshold value of filter tube replacement, and calculating an estimated life value of the filter tube by using a prediction model; extracting estimated life values of all filter tubes in the same production batch of filter tubes, removing the maximum value and the minimum value of the estimated life values of all filter tubes, and carrying out average value calculation on the estimated life values of the rest filter tubes to obtain the estimated life average value of the filter tubes in the batch;
the method comprises the steps of obtaining a transportation distance between a manufacturer corresponding to a filter tube and a filter tube using manufacturer and the selling price of the filter tubes in a batch, and carrying out weight weighted calculation on the transportation distance, the selling price and the estimated life average value to obtain the property value of the filter tubes in the using batch and marking the property value as G1; acquiring the property values of the filter tubes of batches produced by other filter tube manufacturers and marking the property values as G2, comparing the property values of the filter tubes of the batches used with the property values of the filter tubes of batches produced by other filter tube manufacturers, if G1 is more than or equal to eG2, indicating that the filter tubes of the filter tube manufacturers do not need to be replaced, if G1 is less than eG2, generating a cost performance list of the filter tubes, and sending the cost performance list to a man-machine interaction unit for display; wherein e represents the acceptable floating coefficient of the property value of the filter tube corresponding to the batch, and the property price list of the filter tube comprises the ratio of the property value of the filter tube in the batch to the property value of the filter tube in batches produced by other filter tube manufacturers, the selling price, the address of the filter tube manufacturers and the connection mode.
It should be noted that, the data detection module performs life prediction analysis on the filter tubes, performs product comparison processing, and calculates the estimated life average value of the filter tubes in batches, so that a manager can know the life level of the filter tubes in the whole batch, and can timely acquire a list of filter tubes to be replaced, so as to formulate a replacement strategy and perform maintenance or replacement operation, thereby avoiding the influence caused by filter tube failure; and meanwhile, the cost performance of the filter pipes of the batch and other factories is evaluated, a cost performance list is generated for assisting a manager to refer, support in the aspects of filter pipe life prediction, replacement strategy, cost performance comparison and supply chain management is provided for the manager, the manager is assisted to make effective decisions, and management efficiency and economic benefit are improved.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
The foregoing description of the preferred embodiments of the present disclosure is not intended to limit the disclosure, but rather to cover all modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present disclosure.

Claims (5)

1. The ceramic fiber filter tube damage monitoring system based on big data is characterized by comprising a data acquisition module, a data storage module, a data detection module, a signaling execution module, a damage position tracking module and a damage prediction module;
the data acquisition module is used for acquiring environment data and operation data of the ceramic fiber filter tube and sending the environment data and the operation data to the data storage module for storage;
the data detection module is used for analyzing the environmental data and the operation data of the ceramic fiber filter tube in real time to generate a corresponding filter tube processing signaling group; the filter tube processing signaling group comprises a filter tube dust removal signaling and a filter tube damage signaling; wherein, the specific real-time analysis is as follows:
the method comprises the steps of obtaining the length of a ceramic fiber filter tube, setting a unit length, dividing the filter tube into a plurality of filter tube sections in an equal amount according to the unit length, numbering according to the dividing sequence, detecting the flow and the pressure of the filter tube at a plurality of positions in the circumferential direction of the filter tube sections by using a particulate matter sensor and a pressure sensor, calculating the difference value of the flow of the filter tube at the inner part and the outer part to obtain a filter throttling difference, calculating the difference value of the pressure of the filter tube at the inner part and the outer part to obtain a filter throttling difference, and carrying out normalization calculation on the filter throttling difference and the filter throttling difference at the same position to obtain a flow pressure value; acquiring the temperature, humidity, particulate matter concentration, chemical matter concentration, and filter tube cleaning period and filter tube service time of a plurality of positions of the filter tube segments along the circumferential direction; weighting and calculating the temperature, the humidity, the particulate matter concentration, the chemical matter concentration, the filter tube cleaning period, the filter tube use time and the flow pressure value of the plurality of positions to obtain influence values corresponding to the plurality of positions of the filter tube segments along the circumferential direction; substituting the influence values into the flow pressure line graph according to the filter tube division sequence, marking the positions of the influence values in the flow pressure line graph as influence points, connecting adjacent influence points to obtain an influence line, calculating the slope of the influence line, and selecting the absolute values of slope values adjacent to any influence point to perform mean value calculation to obtain a damage value; comparing the damage value with a preset normal threshold, if the damage value is larger than the preset normal threshold, generating a filter tube damage signaling, and if the damage value is smaller than the preset normal threshold, generating a filter tube dust removal signaling;
the signaling execution module is used for receiving the signaling corresponding to the filtering pipe processing signaling group so as to execute corresponding operation;
the damage position tracking module is used for analyzing the damage position, acquiring influence values of a plurality of positions of the filter tube segment along the circumferential direction, selecting the largest and smallest influence values of the filter tube segment in the plurality of positions along the circumferential direction, and carrying out difference calculation on the largest and smallest influence values to obtain an influence difference; comparing the influence difference value with a preset normal threshold value, if the influence difference value is smaller than the preset normal threshold value, selecting the position corresponding to the smallest influence difference value and marking the position as a blocking abnormal position, and if the influence difference value is larger than the preset normal threshold value, selecting the position corresponding to the largest influence difference value and marking the position as a breakage abnormal position; marking the number of the filter tube and the corresponding blockage abnormal part, the corresponding breakage abnormal part and the division sequence number of breakage and blockage of the segment of the filter tube as breakage position information;
the pre-damage analysis module is used for carrying out damage prediction analysis on the filter tube so as to obtain an estimated item of the filter tube; and carrying out damage position analysis processing on the estimated items to obtain estimated damage position information.
2. The ceramic fiber filter tube damage monitoring system based on big data according to claim 1, wherein the damage prediction analysis is performed on the filter tube, and the specific analysis is as follows:
acquiring historical real-time information of a filter tube, and establishing a historical real-time matrix; the real-time information comprises temperatures, humidity, particulate matter concentration, chemical matter concentration and corresponding filter tube cleaning period, filter tube service time and damage value of the filter tube segments at a plurality of positions along the circumferential direction; obtaining history similar information through a KNN algorithm, selecting the history similar information of a set number of corresponding times of the history real-time information items corresponding to the filter tubes, and establishing a history similar matrix; selecting a set number of recent parameters of the filter tube at the moment corresponding to the real-time information items to obtain a recent matrix; calculating through the historical similarity matrix and the recent matrix to obtain a predicted item of filter tube prediction; and carrying out damage position analysis processing on the estimated items to obtain estimated damage position information.
3. The big data based ceramic fiber filter tube damage monitoring system of claim 1, further comprising a human-computer interaction module comprising a registration login unit and a remote communication unit; the man-machine interaction module is used for displaying the operation data and the environment data of the filter tube and allowing a manager to set and configure the system;
the registration login unit is used for registering personnel information submitted by personnel, marking the personnel which are successfully registered as management personnel and sending the personnel information submitted correspondingly into the data storage module for storage; the personnel information comprises the area for monitoring the ceramic fiber filter tube and the corresponding name, time for entering the personnel and identity information;
the remote communication unit is connected with the intelligent terminal through network connection, the manager logs in through the intelligent terminal, and the manager who registers successfully can perform remote monitoring and operation through the intelligent terminal.
4. The big data based ceramic fiber filter tube damage monitoring system of claim 3, wherein the man-machine interaction module further comprises a report processing unit; the report processing unit is used for extracting the historical data of the filter tube from the data storage module, integrating the historical data to obtain a chart, a table and a line diagram, and performing visual display in the form of the chart, the table and the line diagram; and storing, printing or sharing the integrated charts, tables and line diagrams, so that the generated charts, tables and line diagrams can be exported in the form of electronic documents or paper documents.
5. The ceramic fiber filter tube damage monitoring system based on big data according to claim 1, wherein the data detection module is further used for carrying out life prediction analysis on the filter tube and carrying out product comparison processing to obtain a cost performance list of the filter tube, and the specific analysis processing is as follows:
extracting influence values corresponding to a plurality of positions of the filter tube segments of each filter tube along the circumferential direction, and carrying out mean value calculation on the influence values to obtain heald image values of the corresponding filter tubes; setting a comprehensive threshold value of filter tube replacement, and calculating an estimated life value of the filter tube by using a prediction model; extracting estimated life values of all filter tubes in the same production batch of filter tubes, removing the maximum value and the minimum value of the estimated life values of all filter tubes, and carrying out average value calculation on the estimated life values of the rest filter tubes to obtain the estimated life average value of the filter tubes in the batch;
the method comprises the steps of obtaining a transportation distance between a manufacturer corresponding to a filter tube and a filter tube using manufacturer and the selling price of the filter tubes in a batch, and carrying out weight weighted calculation on the transportation distance, the selling price and the estimated life average value to obtain the property value of the filter tubes in the using batch and marking the property value as G1; acquiring the property values of the filter tubes of batches produced by other filter tube manufacturers and marking the property values as G2, comparing the property values of the filter tubes of the batches used with the property values of the filter tubes of batches produced by other filter tube manufacturers, if G1 is more than or equal to eG2, indicating that the filter tubes of the filter tube manufacturers do not need to be replaced, if G1 is less than eG2, generating a cost performance list of the filter tubes, and sending the cost performance list to a man-machine interaction unit for display; where e represents the acceptable float coefficient of the sexual value of the batch corresponding filter tube.
CN202311009228.2A 2023-08-11 2023-08-11 Ceramic fiber filter tube damage monitoring system based on big data Pending CN116861193A (en)

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