CN116703429A - Intelligent charging tray access system based on Internet of things - Google Patents
Intelligent charging tray access system based on Internet of things Download PDFInfo
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Abstract
The invention relates to the technical field of material disc management, and particularly discloses an intelligent material disc access system based on the Internet of things, which comprises the following steps: the material tray identification detection end comprises a code identifier and a camera, and is used for acquiring a unique material tray identification code according to the code identifier and collecting material tray images according to the camera; the storage detection module is used for obtaining standard information corresponding to the material tray according to the unique material tray identification code, comparing and analyzing the material tray picture with the corresponding standard information, and determining the material tray state according to the comparison and analysis; the material tray scheduling module is used for adjusting a scheduling strategy when the material tray is taken according to the material tray state; the storage environment monitoring module is used for monitoring the storage environment of the material disc; the analysis center is used for analyzing the detected material disc state and the monitored material disc storage environment and respectively sending out corresponding instructions according to analysis results.
Description
Technical Field
The invention relates to the technical field of material disc management, in particular to an intelligent material disc access system based on the Internet of things.
Background
In automatic production line, especially relate to electronic component's production line, can need the charging tray that the charging tray provided the feed and bear spare part, because the charging tray can carry out corresponding structural design based on the structure of spare part, therefore the charging tray that different spare parts correspond also is different, and when the charging tray uses the back, can carry out batch management to the charging tray to guarantee the orderly nature that the charging tray used.
Along with the rapid development of the internet of things, in the prior art, an identification tag, such as an RFID tag, is integrated on each tray, so that the identity of each tray is identified, and management during calling and automatic storage is facilitated; meanwhile, the state of the material tray can be identified in the prior art, whether the material tray is damaged or not is judged, further, the damage of the material tray is avoided, and the effectiveness of the material tray in the subsequent calling process is ensured.
However, due to the difference of the using procedures and the difference of the using frequency of the trays, the service lives of the different trays are different, and in the replacement process of the failed trays, if the trays are replaced in batches, larger waste is caused, higher cost is caused, and if the trays are replaced one by one according to the state of the single tray, higher labor cost is caused, so that reasonable scheduling of the trays in the process of calling the trays is one of the problems to be solved urgently.
Disclosure of Invention
The invention aims to provide an intelligent storage and retrieval system for a material tray based on the Internet of things, which solves the following technical problems:
judging the tray state reasonably and dispatching the tray reasonably.
The aim of the invention can be achieved by the following technical scheme:
intelligent access system of charging tray based on thing networking, the system includes:
the material tray identification detection end comprises a code identifier and a camera, and is used for acquiring a unique material tray identification code according to the code identifier and collecting material tray images according to the camera;
the storage detection module is used for obtaining standard information corresponding to the material tray according to the unique material tray identification code, comparing and analyzing the material tray picture with the corresponding standard information, and determining the material tray state according to the comparison and analysis;
the material tray scheduling module is used for adjusting a scheduling strategy when the material tray is taken according to the material tray state;
the storage environment monitoring module is used for monitoring the storage environment of the material disc;
the analysis center is used for analyzing the detected material disc state and the monitored material disc storage environment and respectively sending out corresponding instructions according to analysis results.
Further, the standard information comprises a standard contour of the tray;
the working process of the deposit monitoring module comprises the following steps:
s1, carrying out AI identification on a tray picture, and judging whether foreign matters exist in the tray or not and whether the tray is damaged or not:
if yes, rejecting information is sent out;
if not, S2 is carried out;
s2, graying the tray picture and processing the contrast according to a preset strategy;
acquiring an actual contour of the material taking disc picture based on an edge recognition algorithm;
the actual contour is subjected to coincidence comparison with the standard contour of the material tray:
and judging whether to receive the tray according to the coincidence comparison result.
Further, the process of coincidence comparison includes:
identifying a reference point of the material tray, and placing the material tray in a superposition manner according to the reference point and a preset reference point of a standard contour of the material tray;
by the formula:
，
calculating to obtain a non-coincidence coefficient NC;
wherein n is the standard line segment number of standard contour division of the material disc, i is [1, n ]]；The area formed by the i-th line segment and the corresponding line segment in the actual contour in a surrounding way; />The length of the standard line segment is the i-th standard line segment; />The maximum value of the vertical line of the ith standard line segment in the area is defined by the ith standard line segment and the corresponding line segment in the actual contour; />、/>Is a fixed coefficient, and->；/>The length of the corresponding line segment in the actual contour for the ith line segment; />The weight coefficient is the size of the ith line segment;
comparing the non-coincidence coefficient NC with a preset threshold NC 1:
if NC is not less than NC1, judging that the material tray does not meet the requirement, and sending out a rejection instruction.
Further, if NC is smaller than NC1, the process of the tray scheduling module scheduling the tray includes:
SS1, acquiring historical use data of a material taking disc according to a unique identification code of the material taking disc, and acquiring an influence coefficient of each procedure according to the use data;
SS2, determining a material disc loss coefficient according to all related procedures related to the call request and corresponding influence coefficients;
and SS3, carrying out matching analysis according to the non-coincidence coefficient of the material tray and the material tray loss coefficient, and selecting the material tray according to the matching result.
Further, the influence coefficient acquisition process of each process includes:
counting the use times of each procedure in the historical use data of all the trays;
establishing an equation for the j-th tray:
，
performing iterative operation according to equations of all trays to obtain influence coefficients of each procedure、/>、…、/>；
Wherein m is the number of all steps, j.epsilon.1, m]；、/>、…、/>The use times of each procedure are as follows; />The current non-coincidence coefficient of the j-th material tray;
the process for obtaining the material disc loss coefficient comprises the following steps:
by the formulaCalculating to obtain a material disc loss coefficient G;
wherein ,the maximum value of the influence coefficient in all the working procedures; />Is the minimum value of the influence coefficients in all the working procedures.
Further, the process of matching analysis includes:
by the formula:
；
；
calculating to obtain the matching coefficient of the y-th material disk and the calling request；
According toSequencing from high to low to obtain a matching sequence, and calling the trays from the matching sequence according to the required number of the trays in the calling request;
wherein y is the order of the trays;is the non-coincidence coefficient of the y-th material tray; />For calling the standard non-coincidence coefficient corresponding to the request, +.>Is a unit value; />Maximum value of non-coincidence coefficients in all trays; />Is the minimum value of non-coincidence coefficients in all trays.
Further, the working process of the storage environment monitoring module comprises the following steps:
collecting the temperature T (T) and the humidity H (T) of a storage area of the material tray in real time;
and respectively comparing the temperature and humidity acquired in real time with the corresponding threshold range:
if parameters which do not belong to the corresponding threshold range exist, early warning is carried out;
otherwise, through the formulaCalculating to obtain the environmental risk value of the current time point +.>；
wherein ,is the middle value of the temperature corresponding threshold range; />Is the middle value of the humidity corresponding threshold range; t is the current time point, < > and >>A preset fixed period of time; />、/>For adjusting the coefficients; />Representation->Period->Number of time points; />Representation->Period->Number of time points; />The correction coefficient is preset; />Is a variable risk function;
will environmental risk valueComparing with a preset threshold E1:
if it isAnd early warning is carried out.
The invention has the beneficial effects that:
(1) According to the invention, the identity of the material tray is identified through the material tray identification detection end and the storage detection module, the state of the material tray is detected and judged, and then the scheduling strategy when the material tray is taken is adjusted through the material tray scheduling module according to the state of the material tray, so that the material tray can be dynamically invoked according to the state of the material tray, the balance of the use loss state of the material tray with the same specification is ensured, the service lives of all the material trays are ensured to be more consistent, the service lives of the material trays are prolonged as a whole, the material trays are replaced in batches, and the cost of material tray management is reduced.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a logic block diagram of an intelligent storage system of a material tray based on the Internet of things;
FIG. 2 is a flow chart of the operation of the logging monitoring module of the present invention;
FIG. 3 is a flow chart of a tray scheduling module for scheduling trays according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in one embodiment, an intelligent storage and retrieval system for a tray based on the internet of things is provided, the system comprises a tray identification and detection end, a storage and detection module, a tray dispatching module, a storage environment monitoring module and an analysis center, the system identifies the tray through the tray identification and detection end and the storage and detection module, detects and judges the status of the tray, and then adjusts the dispatching strategy when the tray is fetched according to the status of the tray through the tray dispatching module, the mode can dynamically call the tray according to the status of the tray, so that the use loss status of the tray with the same specification is balanced, the service lives of all trays are ensured to be consistent, the service lives of the trays are prolonged as a whole, the batch trays are replaced, and the cost of tray management is reduced; in addition, the storage environment monitoring module is further arranged to monitor the storage environment of the material disc, the analysis center monitors and analyzes the storage environment of the material disc, corresponding instructions are respectively sent out according to analysis results, the material disc is ensured to be in a proper environment, and the service life of the material disc is further prolonged.
According to the technical scheme, the tray identification detection end comprises the code identifier and the camera, the unique identification code of the tray is obtained according to the code identifier, further the identification of the tray identity and the tray specification is realized, the image information of the tray can be acquired according to the image of the tray acquired by the camera, the standard information corresponding to the tray is obtained according to the unique identification code of the tray through the storage detection module, the comparison analysis is carried out according to the tray picture and the corresponding standard information, further the tray state is obtained, the deformation state and the damage state of the tray are judged according to the tray state, and further the reference is provided for the subsequent management and scheduling process.
As an embodiment of the present invention, referring to fig. 2, the standard information includes a standard contour of the tray; the working process of the deposit monitoring module comprises the following steps: s1, AI identification is carried out on a tray picture, the process is obtained by taking different tray pictures in a standard state as samples and training the samples through a machine training model, so that whether the tray has foreign matters and whether the tray is damaged or not can be judged, the specific process is realized through the prior art, details are omitted, when the foreign matters exist, the tray is indicated to be damaged or the foreign matters exist, scrapping treatment is carried out when the foreign matters exist, cleaning treatment is carried out when the foreign matters exist, and therefore rejection information is sent; if not, carrying out S2 for further analysis; s2, carrying out graying and contrast treatment on the tray image according to a preset strategy, wherein the preset strategy is set after measurement according to the environmental state of the system deployment, and through the process, more accurate and cleaning of the outline identification of the tray image can be ensured; then, the actual outline of the material disc picture is obtained based on an edge recognition algorithm, wherein the edge recognition algorithm comprises Sobel, prewitt, roberts, canny and other algorithms, and the edge recognition algorithm is not limited herein; and carrying out coincidence comparison on the actual contour and the standard contour of the material tray, judging the state of the material tray according to the coincidence comparison result, and further determining whether to receive the material tray.
As one embodiment of the invention, the process of coincidence comparison comprises the following steps: identifying a reference point of the material tray, and placing the material tray in a superposition manner according to the reference point and a preset reference point of a standard contour of the material tray; by the formula:
；
calculating to obtain a non-coincidence coefficient NC; wherein n isStandard line segment number i epsilon [1, n ] dividing standard contour of material disc]；The area formed by the i-th line segment and the corresponding line segment in the actual contour in a surrounding way; />The length of the standard line segment is the i-th standard line segment; thus +.>Mean value representing contour deviation +.>The maximum value of the vertical line of the ith standard line segment in the area is defined by the ith standard line segment and the corresponding line segment in the actual contour; />、/>Is a fixed coefficient, and->It is set after division according to empirical data, thus +.>The contour deviation state is represented by the comprehensive average level and the maximum level; />The length of the corresponding line segment in the actual contour for the ith line segment; />Then the deviation state of the actual profile features from the standard state is indicated,/->The weight coefficient of the size of the ith line segment is selectively set according to the action of the line segment on the corresponding position of the tray, when the corresponding position is related toThe weight coefficient is higher when the parts are fixed or the tray is placed and fixed, or else the weight is lower; the accurate judging process of the deformation state of the material tray can be realized through the non-coincident coefficient NC through the calculating process of the non-coincident coefficient NC, specifically, the non-coincident coefficient NC is compared with a preset threshold NC1, the preset threshold NC1 is obtained according to the data fitting of the material tray under different states after the test, and therefore if NC is more than or equal to NC1, the material tray is judged to be not in accordance with the requirement, and a rejection instruction is sent out; if NC < NC1, the tray scheduling module adjusts the scheduling policy according to the non-overlapping coefficient NC, specifically, please refer to fig. 3, the process of scheduling the tray by the tray scheduling module includes: SS1, acquiring historical use data of a material taking disc according to a unique identification code of the material taking disc, and acquiring an influence coefficient of each procedure according to the use data; SS2, determining a material disc loss coefficient according to all related procedures related to the call request and corresponding influence coefficients; SS3, carrying out matching analysis according to the non-overlapping coefficient of the material tray and the material tray loss coefficient, and selecting the material tray according to a matching result; through the process, the loss state of the material tray can be monitored for each process based on the state data of the material tray using process, and then after enough data are accumulated, the material tray can be invoked according to the requirement adaptability.
As one embodiment of the present invention, the influence coefficient acquisition process for each process includes: counting the use times of each procedure in the historical use data of all the trays; establishing an equation for the j-th tray:
，
performing iterative operation according to equations of all trays to obtain influence coefficients of each procedure、/>、…、/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is the number of all steps, j.epsilon.1, m]；/>、/>、…、/>The use times of each procedure are as follows; />The current non-coincidence coefficient of the j-th material tray; obviously, the number of the trays can enable a plurality of equations to obtain corresponding results, and in the iterative process, the influence coefficient ++of each procedure is obtained by means of averaging>、/>、…、/>The specific iterative process is the prior art in the mathematical field, not described in detail here, but the influence coefficient of each procedure is obtained +.>、/>、…、/>The predictive judgment of the loss state of the material tray can be realized, and specifically, the process for acquiring the loss coefficient of the material tray comprises the following steps: by the formulaCalculating to obtain a material disc loss coefficient G; wherein (1)>The maximum value of the influence coefficient in all the working procedures; />And for the minimum influence coefficient in all the working procedures, the estimated loss state of the current tray dispatching on the tray can be obtained through the acquisition of the tray loss coefficient G, so that the tray dispatching process is facilitated through the tray loss coefficient G.
As one embodiment of the present invention, the process of matching analysis includes: by the formula:
；
；
calculating to obtain the matching coefficient of the y-th material disk and the calling request；
According toSequencing from high to low to obtain a matching sequence, and calling the trays from the matching sequence according to the required number of the trays in the calling request;
wherein y is the order of the trays;is the non-coincidence coefficient of the y-th material tray; />For calling the standard non-coincidence coefficient corresponding to the request, +.>Is a unit value; />Maximum value of non-coincidence coefficients in all trays; />The minimum value of non-coincidence coefficients in all trays; through the matching process, matching and matching can be carried out on each tray one by one, and matching coefficients can be obtained>When the matching coefficient->The larger the description the more matched, thus according to +.>Sequencing from high to low to obtain a matching sequence, and calling the trays from the matching sequence according to the required number of the trays in the calling request, thereby obtaining the called trays.
In the above-mentioned formula(s),for the unit value, it selects the setting, +.>In order to call the standard non-coincidence coefficient corresponding to the request, a relatively matched material tray is obtained according to a reverse comparison mode, namely, the more optimal the material tray state is, the higher the matching loss state is, and further, through a dynamic call process, the loss degree of all the material trays can be more consistent, so that the follow-up unified scrapping management process is facilitated, the service life of the material tray is verified integrally, and the management cost is reduced.
As one embodiment of the present invention, the working process of storing the environmental monitoring module includes: collecting the temperature T (T) and the humidity H (T) of a storage area of the material tray in real time; and respectively comparing the temperature and humidity acquired in real time with the corresponding threshold range: if parameters which do not belong to the corresponding threshold range exist, early warning is carried out; otherwise, through the formulaCalculating to obtain the current time pointEnvironmental risk value->； wherein ,/>Is the middle value of the temperature corresponding threshold range; />Is the middle value of the humidity corresponding threshold range; t is the current time point, < > and >>A preset fixed period of time; />、/>For the adjustment coefficients, it is obtained by empirical data fitting;representation->Period->Number of time points; />Representation->Period->Number of time points; />The correction coefficient is preset and is set according to the weights of different parameter influence factors in the experience data; />Is a variable risk function according to +.>The influence degree data of the fluctuation amount corresponding to the time period on the storage tray is fitted into a comparison table, and the comparison table is formed into a variable risk function, so +.>Reflecting at->Time period temperature variation and humidity variation influence state on tray storage, < >>Then reflectThe deviation state of the temperature and the humidity in the standard range in the period of time is further determined by the environmental risk value +.>Realizing the judgment of the storage environment of the stock disc and enabling the environmental risk value to be +.>Comparing with a preset threshold E1, wherein the preset threshold E1 is obtained after fitting according to empirical data, so that if ++>And early warning is carried out, so that the problems of deformation, aging and the like of the material tray caused by environmental factors are reduced.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. Intelligent access system of charging tray based on thing networking, its characterized in that, the system includes:
the material tray identification detection end comprises a code identifier and a camera, and is used for acquiring a unique material tray identification code according to the code identifier and collecting material tray images according to the camera;
the storage detection module is used for obtaining standard information corresponding to the material tray according to the unique material tray identification code, comparing and analyzing the material tray picture with the corresponding standard information, and determining the material tray state according to the comparison and analysis;
the material tray scheduling module is used for adjusting a scheduling strategy when the material tray is taken according to the material tray state;
the storage environment monitoring module is used for monitoring the storage environment of the material disc;
the analysis center is used for analyzing the detected material disc state and the monitored material disc storage environment and respectively sending out corresponding instructions according to analysis results.
2. The internet of things-based tray intelligent access system of claim 1, wherein the standard information comprises a tray standard profile;
the working process of the deposit monitoring module comprises the following steps:
s1, carrying out AI identification on a tray picture, and judging whether foreign matters exist in the tray or not and whether the tray is damaged or not:
if yes, rejecting information is sent out;
if not, S2 is carried out;
s2, graying the tray picture and processing the contrast according to a preset strategy;
acquiring an actual contour of the material taking disc picture based on an edge recognition algorithm;
the actual contour is subjected to coincidence comparison with the standard contour of the material tray:
and judging whether to receive the tray according to the coincidence comparison result.
3. The intelligent storage and retrieval system for trays based on the internet of things according to claim 2, wherein the process of coincidence comparison comprises:
identifying a reference point of the material tray, and placing the material tray in a superposition manner according to the reference point and a preset reference point of a standard contour of the material tray;
by the formula:
，
calculating to obtain a non-coincidence coefficient NC;
wherein n is the standard line segment number of standard contour division of the material disc, i is [1, n ]]；The area formed by the i-th line segment and the corresponding line segment in the actual contour in a surrounding way; />The length of the standard line segment is the i-th standard line segment; />The maximum value of the vertical line of the ith standard line segment in the area is defined by the ith standard line segment and the corresponding line segment in the actual contour; />、/>Is a fixed coefficient, and->；/>The length of the corresponding line segment in the actual contour for the ith line segment; />The weight coefficient is the size of the ith line segment;
comparing the non-coincidence coefficient NC with a preset threshold NC 1:
if NC is not less than NC1, judging that the material tray does not meet the requirement, and sending out a rejection instruction.
4. The intelligent storage and retrieval system for trays based on the internet of things according to claim 3, wherein if NC < NC1, the process of the tray scheduling module scheduling the trays includes:
SS1, acquiring historical use data of a material taking disc according to a unique identification code of the material taking disc, and acquiring an influence coefficient of each procedure according to the use data;
SS2, determining a material disc loss coefficient according to all related procedures related to the call request and corresponding influence coefficients;
and SS3, carrying out matching analysis according to the non-coincidence coefficient of the material tray and the material tray loss coefficient, and selecting the material tray according to the matching result.
5. The intelligent storage and retrieval system for trays based on the internet of things according to claim 4, wherein the process for obtaining the influence coefficient of each procedure comprises:
counting the use times of each procedure in the historical use data of all the trays;
establishing an equation for the j-th tray:
，
performing iterative operation according to equations of all trays to obtain influence coefficients of each procedure、/>、…、/>；
Wherein m is the number of all steps, j.epsilon.1, m]；、/>、…、/>The use times of each procedure are as follows; />The current non-coincidence coefficient of the j-th material tray;
the process for obtaining the material disc loss coefficient comprises the following steps:
by the formulaCalculating to obtain a material disc loss coefficient G;
wherein ,the maximum value of the influence coefficient in all the working procedures; />Is the minimum value of the influence coefficients in all the working procedures.
6. The internet of things-based tray intelligent access system of claim 5, wherein the process of matching analysis comprises:
by the formula:
；
；
calculating to obtain the matching coefficient of the y-th material disk and the calling request；
According toSequencing from high to low to obtain a matching sequence, and calling the trays from the matching sequence according to the required number of the trays in the calling request;
wherein y is the order of the trays;is the non-coincidence coefficient of the y-th material tray; />For calling the standard non-coincidence coefficient corresponding to the request, +.>Is a unit value; />Maximum value of non-coincidence coefficients in all trays; />Is the minimum value of non-coincidence coefficients in all trays.
7. The intelligent storage and retrieval system for trays based on the internet of things according to claim 1, wherein the working process of the storage environment monitoring module comprises:
collecting the temperature T (T) and the humidity H (T) of a storage area of the material tray in real time;
and respectively comparing the temperature and humidity acquired in real time with the corresponding threshold range:
if parameters which do not belong to the corresponding threshold range exist, early warning is carried out;
otherwise, through the formulaCalculating to obtain the environmental risk value of the current time point +.>；
wherein ,is the middle value of the temperature corresponding threshold range; />Is the middle value of the humidity corresponding threshold range; t is the current time point, < > and >>A preset fixed period of time; />、/>For adjusting the coefficients; />Representation->Period->Number of time points; />Representation->Period->Number of time points; />The correction coefficient is preset; />Is a variable risk function;
will environmental risk valueComparing with a preset threshold E1:
if it isAnd early warning is carried out.
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