An intelligent management platform for industrial production lines

Abstract

The present invention belongs to the technical field of industrial production line management, and specifically discloses an industrial production line intelligent management platform, including: a production line information import module, an industrial production line monitoring module, an industrial production line judgment module, an industrial equipment monitoring module, an industrial equipment analysis module, a database and an industrial production line feedback module; the present invention judges whether the production progress is qualified by the current cumulative production output and stability index of each production link, which solves the limitations of the current judgment on the qualified production progress and realizes further analysis of production stability. At the same time, predictive maintenance of industrial production line equipment is performed from two dimensions: each performance indicator of the production equipment corresponding to each production link and the set production rate and record date of each historical production, which avoids the deficiency of only considering the performance indicators of the current equipment during operation, and ensures the accuracy of predictive maintenance and the service life of the equipment.

Description

Technical Field

[0001] The invention belongs to the technical field of industrial production line management and relates to an intelligent management platform for industrial production lines. Background Art

[0002] An industrial production line is a platform that integrates various equipment and processes. The production and processing of products is completed on one production line, including raw material handling, processing, assembly, packaging and other links. Efficient production and manufacturing are achieved through automated control and coordination of various links. In order to ensure the efficiency of production and manufacturing, industrial production lines need to be managed.

[0003] The current industrial production line management mainly focuses on two aspects: production progress and production equipment maintenance. There are still the following deficiencies: 1. When conducting production progress analysis, only the qualified status of the production progress is considered, and no further analysis is conducted on the stability of production. It is impossible to timely discover potential risk problems in the production process, which leads to a decrease in production efficiency and affects the consistency and reliability of the products produced.

[0004] 2. When predictive maintenance is currently performed on industrial production line equipment, only the performance indicators of the current equipment operation process are considered, and no further analysis is conducted on the historical operation of the production equipment. The accuracy of predictive maintenance cannot be guaranteed, which in turn increases maintenance costs and shortens the service life of the equipment. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, an industrial production line intelligent management platform is now proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent management platform for industrial production lines, including: a production line information import module, used to record the industrial production line as a target production line, import the production delivery type of the target production line, the production sequence of each production link, and the set production rate of the production equipment corresponding to each production link.

[0007] The industrial production line monitoring module is used to monitor the production information of the target production line during operation. The production information includes the current cumulative production time, the current cumulative production output of each production link, and the production output corresponding to each production time period.

[0008] The industrial production line judgment module is used to judge the production progress of each production link according to the production information during the operation of the target production line. When the judgment result is unqualified, each unqualified link is confirmed, and the production rate adjustment value of each unqualified link is confirmed accordingly.

[0009] The industrial equipment monitoring module is used to monitor the performance indicators of the production equipment corresponding to each production link in the production process of the target production line.

[0010] The industrial equipment analysis module is used to perform predictive maintenance demand analysis on industrial equipment and determine the required maintenance type accordingly, wherein the required maintenance type is overall maintenance or local maintenance.

[0011] The database is used to store the permitted production deviation range of the production equipment corresponding to each production link in each production delivery type, store the set production rate and recording date of each historical production of the production equipment corresponding to each production link, and store the production rate upper limit of the production equipment corresponding to each production link.

[0012] The industrial production line feedback module is used to feed back unqualified links and required maintenance types to the industrial production line management platform and perform corresponding management.

[0013] Furthermore, the determination of whether the production progress of each production link is qualified includes: obtaining the set production output of each production link according to the set production rate of the production equipment corresponding to each production link and the current accumulated production time.

[0014] The current cumulative production output of each production link is subtracted from the set production output to obtain the current cumulative production output difference of each production link, and the stability analysis of each production link is performed to obtain the stability index of each production link. i is the serial number of the production link, i=1,2,......,n.

[0015] The current cumulative production output difference and stability index of each production link are introduced into the production progress qualification judgment model to obtain the production progress qualification judgment results of each production link.

[0016] Furthermore, the stability analysis of each production link includes: constructing a production output change curve for each production link with the production time period as the horizontal axis and the production output as the vertical axis, and constructing a production output reference line in the production output change curve according to the set production rate of the production equipment corresponding to each production link.

[0017] The vertical distance between each peak point and its adjacent valley point is extracted from the production output change curve, and the maximum vertical distance is screened out as the production output difference. The length of the production output change curve below the production output reference line is extracted from the production output change curve and recorded as the deviation curve length.

[0018] The production output difference, deviation curve length and production output change curve length of each production link are respectively denoted as α i , L i and L i ′.

[0019] Statistics on the stability index of each production link K and α′ are the yield deviation ratio and production yield difference of the set reference, respectively.

[0020] Furthermore, the confirmation of each unqualified link includes: extracting the permitted production deviation range of the production equipment corresponding to each production link in each production delivery type from the database, and then extracting the permitted production deviation range of each production link in the current delivery type.

[0021] If the current cumulative production output difference of a production link is not within the permitted production deviation range of the production link in the current delivery type, the production link will be recorded as a non-compliant link, and then each non-compliant production link will be obtained.

[0022] The current cumulative production output and the set production output of each non-compliant production link are recorded as ε p and ε′ p , calculate the production deviation ratio δ of each non-compliant production link p , p is the serial number of each production link that does not meet the standards, p=1,2,......,q.

[0023] All unqualified production links are ranked accordingly according to their production order. The production link ranked first is taken as the benchmark unqualified link, and the production links ranked in other positions are taken as pending links. Production abnormality judgment is made for each pending link, and the pending links with abnormal judgment results are taken as unqualified links.

[0024] Furthermore, the production abnormality judgment of each pending link includes: subtracting the production deviation ratio of each pending link from that of a benchmark unqualified link to obtain the difference in the production deviation ratio of each pending link.

[0025] If the difference of the production deviation ratio of a pending link is less than or equal to the difference of the production deviation ratio of the set reference, normal will be taken as the judgment result of the pending link.

[0026] If the difference in the production deviation ratio of a pending link is greater than the difference in the production deviation ratio of the set reference, the abnormality will be taken as the judgment result of the pending link, and then the judgment results of each pending link will be obtained.

[0027] Furthermore, the determination of the production rate adjustment value of each unqualified link includes: comparing the current cumulative production output of each unqualified link with the current cumulative production time, and taking the ratio as the actual production rate, recorded as V j And extract the set production rate of each unqualified link from the set production rate of the corresponding production equipment in each production link, recorded as V j′, j is the serial number of the unqualified link, j=1,2,......,m.

[0028] Statistical analysis of the production rate deviation of each unqualified link l j , The production rate deviation is matched with the production rate deviation corresponding to each production rate improvement ratio set as a reference, and the production rate improvement ratio of each unqualified link is obtained, which is recorded as

[0029] Extract the production rate upper limit value of each production link corresponding to the production equipment from the database, and then extract the production rate upper limit value of each unqualified link, denoted as V j ″.

[0030] Count the production rate adjustment value V of each unqualified link j ″′,

[0031] Furthermore, the predictive maintenance demand analysis of industrial equipment includes: matching and comparing each performance indicator of the production equipment corresponding to each production link in the target production line with each set performance indicator range; if a performance indicator of the production equipment corresponding to a certain production link is not within the performance indicator range of the production equipment corresponding to the production link, then marking the performance indicator as an abnormal indicator.

[0032] The abnormal indicators of the production equipment corresponding to each production link are counted, and the maintenance level of the production equipment corresponding to each production link is judged based on the abnormal indicators. The maintenance level is one of the first, second and third levels. Then the number of equipment corresponding to each production link that has the second or third level maintenance is counted, which is recorded as D i , and the number of devices is recorded as D i ′.

[0033] The set production rate and recording date of each production equipment corresponding to each production link in each historical production are extracted from the database, and then the historical production rate interference factor is calculated, which is recorded as ζ.

[0034] Statistics of predictive maintenance demand for each production link φ i , K′ is the ratio of the number of equipment requiring maintenance to set the reference.

[0035] Furthermore, the determination of the required maintenance level of the production equipment corresponding to each production link includes: making a corresponding difference between each abnormal indicator of the production equipment corresponding to each production link and the middle value of each set performance indicator interval, taking the absolute value of the difference as each performance indicator difference, and matching and comparing each performance indicator difference with the performance indicator difference interval corresponding to each required maintenance level, and based on this, counting each first-level maintenance indicator, each second-level maintenance indicator and each third-level maintenance indicator.

[0036] Each first-level maintenance indicator, each second-level maintenance indicator and each third-level maintenance indicator are introduced into the required maintenance level judgment model to obtain the required maintenance level of the production equipment corresponding to each production link.

[0037] Furthermore, the statistical historical production rate interference factor includes: extracting historical productions with production rates as upper limits from the set production rates of the production equipment corresponding to each production link during each historical production, and recording them as historical load productions, counting the number of historical load productions, recorded as D1″, and taking D2″ as the number of historical productions.

[0038] The dates of each historical load production are extracted from the set production rates and recorded dates of the corresponding production equipment in each production link during each historical production. Based on this, the maximum number of days of historical load duration is confirmed, recorded as T1, and the historical production days are recorded as T2.

[0039] Statistical historical production rate interference factor ζ, k1 and k2 are the historical load production ratio and historical load duration ratio for reference respectively, and e is a natural constant.

[0040] Furthermore, the confirmation of the demand maintenance type includes: recording the production links whose predictive maintenance demand degree is greater than the set reference predictive maintenance demand degree as demand predictive maintenance production links, counting the number of demand predictive maintenance production links, comparing it with the number of production links, and using the ratio as the demand predictive maintenance production link number ratio.

[0041] If the demand predictive maintenance production link number ratio is less than or equal to the set reference demand predictive maintenance production link number ratio, the demand maintenance type is recorded as local maintenance.

[0042] If the demand predictive maintenance production link number ratio is greater than the set reference demand predictive maintenance production link number ratio, the demand maintenance type is recorded as overall maintenance.

[0043] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention determines the qualified production progress of each production link by using the current cumulative production output and stability index of each production link, thereby solving the limitations of the current judgment on qualified production progress and realizing further analysis of production stability, which is convenient for timely discovery of potential risk problems in the production process, thereby ensuring production efficiency and at the same time ensuring the consistency and reliability of industrial products.

[0044] (2) The present invention performs predictive maintenance on industrial production line equipment from two dimensions: the performance indicators of the production equipment corresponding to each production link and the set production rate and record date of each historical production. This avoids the shortcomings of only considering the performance indicators during the current operation of the equipment, further analyzes the historical operation of the equipment, ensures the accuracy of predictive maintenance, and thus reduces the maintenance cost of the equipment while ensuring the service life of the equipment.

[0045] (3) The present invention conducts targeted analysis of production deviations according to the delivery type and identifies unqualified links according to the production sequence of the production links, thereby improving the targeted identification of unqualified links, improving the efficiency of production time utilization, and improving the quality of industrial products. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 It is a schematic diagram of the connection of each module of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 As shown, the present invention provides an intelligent management platform for industrial production lines, including: a production line information import module, an industrial production line monitoring module, an industrial production line judgment module, an industrial equipment monitoring module, an industrial equipment analysis module, a database and an industrial production line feedback module.

[0050] In the above, the industrial production line judgment module is respectively connected to the production line information import module, the industrial production line monitoring module, the database and the industrial production line feedback module, and the industrial equipment analysis module is also respectively connected to the production line information import module, the industrial equipment monitoring module, the database and the industrial production line feedback module.

[0051] The production line information import module is used to record the industrial production line as the target production line, import the production delivery type of the target production line, the production sequence of each production link, and the set production rate of the production equipment corresponding to each production link.

[0052] It should be added that the production delivery types include but are not limited to normal delivery and emergency delivery.

[0053] The industrial production line monitoring module is used to monitor the production information of the target production line during operation, and the production information includes the current cumulative production time, the current cumulative production output of each production link and the production output corresponding to each production time period.

[0054] It should be supplemented that the current cumulative production time is obtained by monitoring the timer installed on the production line, and the current cumulative production output of each production link and the production output corresponding to each production time period are obtained by collecting the monitoring video of the camera installed above the production line.

[0055] The industrial production line judgment module is used to judge the production progress of each production link according to the production information during the operation of the target production line. When the judgment result is unqualified, each unqualified link is confirmed, and the production rate adjustment value of each unqualified link is confirmed accordingly.

[0056] Exemplarily, the determination of whether the production progress of each production link is qualified includes: obtaining the set production output of each production link according to the set production rate of the production equipment corresponding to each production link and the current accumulated production time.

[0057] It should be added that the set production output of each production link is obtained by multiplying the set production rate of the production equipment corresponding to each production link by the current accumulated production time.

[0058] The current cumulative production output of each production link is subtracted from the set production output to obtain the current cumulative production output difference of each production link, and the stability analysis of each production link is performed to obtain the stability index of each production link. i is the serial number of the production link, i=1,2,......,n.

[0059] Furthermore, the stability analysis of each production link includes: constructing a production output change curve for each production link with the production time period as the horizontal axis and the production output as the vertical axis, and constructing a production output reference line in the production output change curve according to the set production rate of the production equipment corresponding to each production link.

[0060] The vertical distance between each peak point and its adjacent valley point is extracted from the production output change curve, and the maximum vertical distance is screened out as the production output difference. The length of the production output change curve below the production output reference line is extracted from the production output change curve and recorded as the deviation curve length.

[0061] The production output difference, deviation curve length and production output change curve length of each production link are respectively denoted as α i , L i and L i ′.

[0062] Statistics on the stability index of each production link K and α′ are the yield deviation ratio and production yield difference of the set reference, respectively.

[0063] It should be added that K is set in the same way as the ratio of the length of the production output change curve below the production output reference line to the length of the production output change curve. For the convenience of analysis, K can be specifically taken as 0.3, and the α′ is extracted from the industrial production line management technical specification table.

[0064] The current cumulative production output difference and stability index of each production link are introduced into the production progress qualification judgment model to obtain the production progress qualification judgment results of each production link.

[0065] It should be added that the specific judgment process of the production progress qualification judgment model of the production link is: when the current cumulative production output difference of the production equipment corresponding to a certain production link is greater than or equal to 0 and the stability index of the production link is greater than or equal to the stability index of the set reference production link, then qualified will be used as the production progress qualification judgment result of the production link.

[0066] When the current cumulative production output difference of the production equipment corresponding to a certain production link is less than 0 or the stability index of the production link is less than the stability index of the set reference production link, the unqualified result will be regarded as the qualified production progress judgment result of the production link, and the qualified production progress judgment result of each production link will be obtained accordingly.

[0067] It should be added that the stability index of the production link used as a reference is extracted from the industrial production line management technical specification table. For the convenience of analysis, a specific value of 0.8 can be taken.

[0068] Exemplarily, the confirming of each unqualified link includes: extracting the permitted production deviation range of the production equipment corresponding to each production link in each production delivery type from the database, and then extracting the permitted production deviation range of each production link in the current delivery type.

[0069] If the current cumulative production output difference of a production link is not within the permitted production deviation range of the production link in the current delivery type, the production link will be recorded as a non-compliant link, and then each non-compliant production link will be obtained.

[0070] The current cumulative production output and the set production output of each non-compliant production link are recorded as ε p and ε′ p , calculate the production deviation ratio δ of each non-compliant production link p , p is the serial number of each production link that does not meet the standards, p=1,2,......,q.

[0071] All unqualified production links are ranked accordingly according to their production order. The production link ranked first is taken as the benchmark unqualified link, and the production links ranked in other positions are taken as pending links. Production abnormality judgment is made for each pending link, and the pending links with abnormal judgment results are taken as unqualified links.

[0072] The embodiment of the present invention performs targeted analysis of production deviations according to the delivery type and identifies unqualified links according to the production sequence of the production links, thereby improving the targeted identification of unqualified links, improving the utilization efficiency of production time, and improving the quality of industrial products.

[0073] Furthermore, the production abnormality judgment of each pending link includes: subtracting the production deviation ratio of each pending link from that of a benchmark unqualified link to obtain the difference in the production deviation ratio of each pending link.

[0074] If the difference of the production deviation ratio of a pending link is less than or equal to the difference of the production deviation ratio of the set reference, normal will be taken as the judgment result of the pending link.

[0075] If the difference in the production deviation ratio of a pending link is greater than the difference in the production deviation ratio of the set reference, the abnormality will be taken as the judgment result of the pending link, and then the judgment results of each pending link will be obtained.

[0076] Exemplarily, the determining of the production rate adjustment value of each unqualified link includes: comparing the current cumulative production output of each unqualified link with the current cumulative production time, and taking the ratio as the actual production rate, recorded as V j And extract the set production rate of each unqualified link from the set production rate of the corresponding production equipment in each production link, recorded as V j ′, j is the serial number of the unqualified link, j=1,2,......,m.

[0077] Statistical analysis of the production rate deviation of each unqualified link l j , The production rate deviation is matched with the production rate deviation corresponding to each production rate improvement ratio set as a reference, and the production rate improvement ratio of each unqualified link is obtained, which is recorded as

[0078] Extract the production rate upper limit value of each production link corresponding to the production equipment from the database, and then extract the production rate upper limit value of each unqualified link, denoted as V j ″.

[0079] Count the production rate adjustment value V of each unqualified link j ″′,

[0080] The embodiment of the present invention judges the qualified production progress of each production link through the current cumulative production output and stability index of each production link, which solves the limitations of the current judgment of qualified production progress, realizes further analysis of production stability, and facilitates timely discovery of potential risk problems in the production process, thereby ensuring production efficiency, while ensuring the consistency and reliability of industrial products.

[0081] The industrial equipment monitoring module is used to monitor various performance indicators of the production equipment corresponding to each production link in the production process of the target production line.

[0082] It should be supplemented that the performance indicators include but are not limited to the vibration frequency, temperature, sound, current, voltage and rotation speed of the equipment, and the vibration frequency, temperature, sound, current, voltage and rotation speed of the equipment are respectively monitored by their corresponding sensors.

[0083] The industrial equipment analysis module is used to perform predictive maintenance demand analysis on industrial equipment and determine the required maintenance type accordingly, wherein the required maintenance type is overall maintenance or local maintenance.

[0084] Exemplarily, the predictive maintenance needs analysis of industrial equipment includes: matching and comparing each performance indicator of the production equipment corresponding to each production link in the target production line with each set performance indicator range; if a performance indicator of the production equipment corresponding to a certain production link is not within the performance indicator range of the production equipment corresponding to the production link, then marking the performance indicator as an abnormal indicator.

[0085] The abnormal indicators of the production equipment corresponding to each production link are counted, and the maintenance level of the production equipment corresponding to each production link is judged based on the abnormal indicators. The maintenance level is one of the first, second and third levels. Then the number of equipment corresponding to each production link that has the second or third level maintenance is counted, which is recorded as D i , and the number of devices is recorded as D i ′.

[0086] Furthermore, the determination of the required maintenance level of the production equipment corresponding to each production link includes: making a corresponding difference between each abnormal indicator of the production equipment corresponding to each production link and the middle value of each set performance indicator interval, taking the absolute value of the difference as each performance indicator difference, and matching and comparing each performance indicator difference with the performance indicator difference interval corresponding to each required maintenance level, and based on this, counting each first-level maintenance indicator, each second-level maintenance indicator and each third-level maintenance indicator.

[0087] It should be added that the specific statistical process of counting the first-level maintenance indicators, the second-level maintenance indicators and the third-level maintenance indicators is as follows: if a performance indicator difference of a production equipment corresponding to a certain production link is at the first-level required maintenance level, then the abnormal indicator of the production equipment corresponding to the production link will be marked as a first-level maintenance indicator.

[0088] If a certain performance indicator difference of a production equipment corresponding to a certain production link is at the second-level maintenance demand level, then the abnormal indicator of the production equipment corresponding to the production link will be marked as a second-level maintenance indicator.

[0089] If a performance indicator difference of a production equipment corresponding to a production link is at the third-level maintenance requirement level, then the abnormal indicator of the production equipment corresponding to the production link will be marked as a third-level maintenance indicator, and the abnormal indicators of the production equipment corresponding to each production link will be divided into first-level maintenance indicators, second-level maintenance indicators and third-level maintenance indicators.

[0090] Each first-level maintenance indicator, each second-level maintenance indicator and each third-level maintenance indicator are introduced into the required maintenance level judgment model to obtain the required maintenance level of the production equipment corresponding to each production link.

[0091] It should be added that the specific judgment process of the maintenance requirement level judgment model is as follows: if all abnormal indicators of production equipment corresponding to a certain production link are first-level maintenance indicators, then the maintenance requirement level of the production equipment corresponding to the production link is judged to be first-level.

[0092] If there are level 2 maintenance indicators and no level 3 maintenance indicators among the abnormal indicators of the production equipment corresponding to a certain production link, it is judged that the required maintenance level of the production equipment corresponding to the production link is level 2.

[0093] If there is a third-level maintenance indicator among the abnormal indicators of the production equipment corresponding to a certain production link, then it is judged that the required maintenance level of the production equipment corresponding to this production link is level three, and the required maintenance level of the production equipment corresponding to each production link is obtained accordingly.

[0094] The set production rate and recording date of each production equipment corresponding to each production link in each historical production are extracted from the database, and then the historical production rate interference factor is calculated, which is recorded as ζ.

[0095] Furthermore, the statistical historical production rate interference factor includes: extracting historical productions with production rates as upper limits from the set production rates of the production equipment corresponding to each production link during each historical production, and recording them as historical load productions, counting the number of historical load productions, recorded as D1″, and taking D2″ as the number of historical productions.

[0096] The dates of each historical load production are extracted from the set production rates and recorded dates of the corresponding production equipment in each production link during each historical production. Based on this, the maximum number of days of historical load duration is confirmed, recorded as T1, and the historical production days are recorded as T2.

[0097] It should be added that the specific confirmation process for confirming the duration of the maximum historical load is as follows: marking the dates of each historical load production on the time axis to obtain each marked point, and generating a load production marked point interval on the time axis based on the first marked point and the last marked point.

[0098] If the number of days between a certain marking point and its previous marking point is within the set reference interval, the marking point is recorded as a continuous marking point. If the number of days between a certain marking point and its previous marking point is not within the set reference interval, the marking point is recorded as a non-continuous marking point.

[0099] According to the position of each non-continuous marking point, the load production marking point interval is divided into each load production segment, the number of marking points located in each load production segment is extracted, and the maximum number of marking points is screened out as the maximum historical load duration days.

[0100] Statistical historical production rate interference factor ζ, k1 and k2 are the historical load production ratio and historical load duration ratio for reference respectively, and e is a natural constant.

[0101] It should be added that the interference load production ratio and interference load days ratio are extracted from the industrial production line management technical specification table and used as the historical load production ratio and historical load duration days ratio for reference respectively. For example, k1 can be specifically taken as 0.4 and k2 can be specifically taken as 0.3.

[0102] Statistics of predictive maintenance demand for each production link φ i , K′ is the ratio of the number of equipment requiring maintenance to set the reference.

[0103] It should be added that when the number of equipment with secondary or tertiary maintenance requirements reaches 40% of the total number of equipment, it indicates that the production link corresponds to the production equipment that requires maintenance. For the convenience of analysis, K′ can be specifically taken as 0.4.

[0104] Exemplarily, the confirmation of the demand maintenance type includes: recording the production links whose predictive maintenance demand degree is greater than the set reference predictive maintenance demand degree as demand predictive maintenance production links, counting the number of demand predictive maintenance production links, comparing it with the number of production links, and using the ratio as the demand predictive maintenance production link number ratio.

[0105] If the demand predictive maintenance production link number ratio is less than or equal to the set reference demand predictive maintenance production link number ratio, the demand maintenance type is recorded as local maintenance.

[0106] If the demand predictive maintenance production link number ratio is greater than the set reference demand predictive maintenance production link number ratio, the demand maintenance type is recorded as overall maintenance.

[0107] The embodiment of the present invention performs predictive maintenance of industrial production line equipment from two dimensions: the performance indicators of the production equipment corresponding to each production link and the set production rate and record date of each historical production. This avoids the shortcomings of only considering the performance indicators during the current operation of the equipment, further analyzes the historical operation of the equipment, ensures the accuracy of predictive maintenance, and thus reduces the maintenance cost of the equipment, while ensuring the service life of the equipment.

[0108] The database is used to store the permitted production deviation range of the production equipment corresponding to each production link in each production delivery type, store the set production rate and recording date of each historical production of the production equipment corresponding to each production link, and store the production rate upper limit value of the production equipment corresponding to each production link.

[0109] The industrial production line feedback module is used to feed back unqualified links and required maintenance types to the industrial production line management platform and perform corresponding management.

[0110] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent management platform for industrial production lines, characterized by: include: The production line information import module is used to record the industrial production line as the target production line, import the production delivery type of the target production line, the production sequence of each production link, and the set production rate of the corresponding production equipment of each production link; Industrial production line monitoring module, used to monitor the production information of the target production line during operation, including the current cumulative production time, the current cumulative production output of each production link and the production output corresponding to each production time period; The industrial production line judgment module is used to judge the production progress of each production link according to the production information during the operation of the target production line. When the judgment result is unqualified, each unqualified link is confirmed, and the production rate adjustment value of each unqualified link is confirmed accordingly; Industrial equipment monitoring module, used to monitor the performance indicators of the production equipment corresponding to each production link in the production process of the target production line; An industrial equipment analysis module is used to perform predictive maintenance demand analysis on industrial equipment and determine the required maintenance type accordingly, wherein the required maintenance type is overall maintenance or local maintenance; A database for storing the permitted production deviation intervals of the production equipment corresponding to each production link in each production delivery type, storing the set production rates and recording dates of each production run of the production equipment corresponding to each production link, and storing the upper limit of the production rate of the production equipment corresponding to each production link; The industrial production line feedback module is used to feed back unqualified industrial production links and required maintenance types to the industrial production line management platform and conduct corresponding management; The determination of the qualified production progress of each production link includes: According to the set production rate of the production equipment corresponding to each production link and the current accumulated production time, the set production output of each production link is obtained; The current cumulative production output of each production link is subtracted from the set production output to obtain the current cumulative production output difference of each production link, and the stability analysis of each production link is performed to obtain the stability index of each production link. , is the production link number, ; The current cumulative production output difference and stability index of each production link are introduced into the production progress qualification judgment model to obtain the production progress qualification judgment result of each production link; The stability analysis of the production process includes: With the production time period as the horizontal axis and the production output as the vertical axis, a production output change curve of each production link is constructed, and according to the set production rate of the production equipment corresponding to each production link, a production output reference line is constructed in the production output change curve; Extracting the vertical distance between each peak point and its adjacent valley point from the production output change curve, and then selecting the maximum vertical distance as the production output difference, and extracting the length of the production output change curve below the production output reference line from the production output change curve, and recording it as the deviation curve length; The production output difference, deviation curve length and production output change curve length of each production link are recorded as , and ; Statistics on the stability index of each production link , , and The reference yield deviation ratio and production yield difference are set respectively.

2. The intelligent management platform for industrial production lines according to claim 1, characterized in that: The confirmation of each unqualified link includes: Extract the permitted production deviation range of the production equipment corresponding to each production link in each production delivery type from the database, and then extract the permitted production deviation range of each production link in the current delivery type; If the current cumulative production output difference of a production link is not within the permitted production deviation range of the production link in the current delivery type, the production link is recorded as a non-compliant link, and then each non-compliant production link is obtained; The current cumulative production output and the set production output of each non-compliant production link are recorded as and , calculate the production deviation ratio of each non-compliant production link , , The serial numbers of each production link that did not meet the standards, ; All unqualified production links are ranked accordingly according to their production order. The production link ranked first is taken as the benchmark unqualified link, and the production links ranked in other positions are taken as pending links. Production abnormality judgment is made for each pending link, and the pending links with abnormal judgment results are taken as unqualified links.

3. The intelligent management platform for industrial production lines according to claim 2 is characterized in that: The production abnormality judgment of each pending link includes: Subtract the production deviation ratio of each undetermined link from that of the benchmark unqualified link to obtain the difference in production deviation ratio of each undetermined link; If the difference of the production deviation ratio of a pending link is less than or equal to the difference of the production deviation ratio of the set reference, normal will be taken as the judgment result of the pending link; If the difference in the production deviation ratio of a pending link is greater than the difference in the production deviation ratio of the set reference, the abnormality will be taken as the judgment result of the pending link, and then the judgment results of each pending link will be obtained.

4. The industrial production line intelligent management platform according to claim 2, characterized in that: The step of confirming the production rate adjustment value of each unqualified link includes: Compare the current cumulative production output of each unqualified link with the current cumulative production time, and take the ratio as the actual production rate, recorded as , and extract the set production rate of each unqualified link from the set production rate of the corresponding production equipment in each production link, recorded as , is the serial number of the unqualified link, ; Count the production rate deviation of each unqualified link , , the production rate deviation is matched with the production rate deviation corresponding to each production rate improvement ratio set as a reference, and the production rate improvement ratio of each unqualified link is obtained, which is recorded as ; Extract the upper limit of the production rate of each production link corresponding to the production equipment from the database, and then extract the upper limit of the production rate of each unqualified link, which is recorded as ; Count the production rate adjustment values ​​of each unqualified link , .

5. The industrial production line intelligent management platform according to claim 1, characterized in that: The predictive maintenance demand analysis of industrial equipment includes: Match and compare the performance indicators of the production equipment corresponding to each production link in the target production line with the set performance indicator intervals. If a performance indicator of the production equipment corresponding to a production link is not within the performance indicator interval of the production equipment corresponding to the production link, mark the performance indicator as an abnormal indicator. Count the abnormal indicators of the production equipment corresponding to each production link, and judge the maintenance level of the production equipment corresponding to each production link based on the abnormal indicators. The maintenance level is one of the first, second and third levels. Then count the number of equipment corresponding to each production link that has second or third level maintenance needs, recorded as , and record the number of devices as ; The set production rate and record date of each production equipment in each production link in history are extracted from the database, and then the historical production rate interference factor is calculated, which is recorded as ; Statistics on the predictive maintenance needs of each production link , , Maintain the equipment quantity ratio for setting reference requirements.

6. An industrial production line intelligent management platform according to claim 5, characterized in that: The determination of the required maintenance level of the production equipment corresponding to each production link includes: The abnormal indicators of the production equipment corresponding to each production link are subtracted from the middle values ​​of the set performance indicator intervals, and the absolute values ​​of the differences are used as the performance indicator differences. The performance indicator differences are matched and compared with the performance indicator difference intervals corresponding to each required maintenance level, and the first-level maintenance indicators, second-level maintenance indicators and third-level maintenance indicators are counted accordingly; Each first-level maintenance indicator, each second-level maintenance indicator and each third-level maintenance indicator are introduced into the required maintenance level judgment model to obtain the required maintenance level of the production equipment corresponding to each production link.

7. The industrial production line intelligent management platform according to claim 5, characterized in that: The statistical historical production rate interference factors include: From the set production rates of the corresponding production equipment in each production link at each historical production, extract the historical productions with the production rate as the upper limit value, and record them as the historical load productions. Count the number of historical load productions, and record them as , and As the historical production times; The dates of each historical load production are extracted from the set production rates and record dates of the corresponding production equipment in each production link during each historical production, and the maximum historical load duration is determined based on this, recorded as , and record the historical production days as ; Statistical historical production rate interference factor , , and They are the historical load production ratio and historical load duration ratio for reference. is a natural constant.

8. The industrial production line intelligent management platform according to claim 5, characterized in that: The confirmation requirement maintenance type includes: The production links whose predictive maintenance demand degree is greater than the set reference predictive maintenance demand degree are recorded as demand predictive maintenance production links, the number of demand predictive maintenance production links is counted, and the number is compared with the number of production links, and the ratio is used as the demand predictive maintenance production link number ratio; If the demand predictive maintenance production link number ratio is less than or equal to the set reference demand predictive maintenance production link number ratio, the demand maintenance type is recorded as local maintenance; If the demand predictive maintenance production link number ratio is greater than the set reference demand predictive maintenance production link number ratio, the demand maintenance type is recorded as overall maintenance.

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