Intelligent monitoring system and method for production information based on ERP management system

Abstract

The application relates to the technical field of production information monitoring, in particular to a production information intelligent monitoring system and method based on an ERP management system, which comprises a management information acquisition module, a database, a data entry analysis module, a system update analysis module and a production information management module. The historical update information and the production information to be monitored of the ERP management system are acquired through the management information acquisition module, all the acquired information is stored through the database, the entry emergency degree of the production information to be entered is analyzed through the data entry analysis module, the update time of the ERP management system is predicted through the system update analysis module, and the time of entering the production information to be entered into the ERP management system is managed through the production information management module. The probability of failure, interruption and even information loss of key production information entry is reduced, complete production information is entered in time, and the production information can be smoothly and intelligently monitored by using the ERP management system.

Description

Technical Field

[0001] This invention relates to the field of production information monitoring technology, specifically to an intelligent production information monitoring system and method based on an ERP management system. Background Technology

[0002] An ERP management system is a highly integrated system used throughout the company, covering management of customers, projects, inventory, procurement, supply, and production. Product production information is entered into the ERP management system, which enables better intelligent monitoring and management of production information.

[0003] When using an ERP management system for intelligent monitoring of production information, it is necessary to ensure the completeness of the entered production information. However, as the functions of the ERP management system continue to improve, it will be updated from time to time. If the production information is entered during the update time, problems such as data entry failure, delay or even loss may occur. Existing technology cannot reduce the probability of such problems, which is not conducive to entering complete production information to ensure the smooth intelligent monitoring of production information using the ERP management system.

[0004] Therefore, people need intelligent monitoring systems and methods for production information based on ERP management systems to solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent monitoring system and method for production information based on an ERP management system, so as to solve the problems mentioned in the background art.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: an intelligent monitoring system for production information based on an ERP management system, the system comprising: a management information acquisition module, a database, a data entry and analysis module, a system update and analysis module, and a production information management module;

[0007] The output of the management information acquisition module is connected to the input of the database, the output of the database is connected to the input of the data entry and analysis module and the system update and analysis module, and the output of the data entry and analysis module and the system update and analysis module is connected to the input of the production information management module.

[0008] The management information collection module is used to collect historical update information and production information that needs to be monitored from the ERP management system, and transmit all the collected information to the database;

[0009] The database is used to store all the collected information;

[0010] The data entry and analysis module is used to analyze the urgency of entering production information to be entered.

[0011] The system update analysis module is used to predict the update time of the ERP management system;

[0012] The production information management module is used to manage the time for entering production information to be entered into the ERP management system.

[0013] Furthermore, the management information collection module includes an update information collection unit and a production information collection unit;

[0014] The output terminals of the update information collection unit and the production information collection unit are connected to the input terminal of the database;

[0015] The update information collection unit is used to collect information on the time when the ERP management system was previously updated.

[0016] The production information collection unit is used to collect production information that needs to be monitored in the ERP management system and to obtain the planned entry time, the amount of production information to be entered, and the importance of the production information to be entered.

[0017] Furthermore, the data entry and analysis module includes a data retrieval unit for information to be entered and an urgency analysis unit;

[0018] The input end of the information retrieval unit is connected to the output end of the database, and the output end of the information retrieval unit is connected to the input end of the urgency analysis unit.

[0019] The information retrieval unit is used to retrieve the production information to be entered;

[0020] The urgency analysis unit is used to analyze the urgency of entering production information into the ERP management system.

[0021] Furthermore, the system update analysis module includes an update information retrieval unit and an update time prediction unit;

[0022] The input terminal of the update information retrieval unit is connected to the output terminal of the database, and the output terminal of the update information retrieval unit is connected to the input terminal of the update time prediction unit.

[0023] The update information retrieval unit is used to retrieve information on previous system update intervals of the ERP management system.

[0024] The update time prediction unit is used to predict when the ERP management system will need to be updated.

[0025] Furthermore, the production information management module includes an adjustment target selection unit and an input time adjustment unit;

[0026] The input terminal of the adjustment target selection unit is connected to the output terminal of the urgency analysis unit, the output terminal of the adjustment target selection unit is connected to the input terminal of the input time adjustment unit, and the input terminal of the input time adjustment unit is connected to the output terminal of the update time prediction unit.

[0027] The adjustment target selection unit is used to analyze the urgency threshold of information entry, compare the urgency of entering the production information to be entered into the ERP management system with the threshold, and if the urgency does not exceed the threshold or the planned entry time of the production information to be entered is different from the predicted update time of the ERP management system, the corresponding production information to be entered into the ERP management system according to the planned entry time; if the urgency exceeds the threshold and the planned entry time of the production information to be entered is the same as the predicted update time of the ERP management system, the corresponding production information to be entered is used as the adjustment target.

[0028] The data entry time adjustment unit is used to adjust the data entry time of the production information to be entered, which is the target of the adjustment, so that the data entry time is adjusted to any time that avoids the predicted update time of the ERP management system.

[0029] The intelligent monitoring method for production information based on ERP management system includes the following steps:

[0030] S01: Collect historical update information and production information that needs to be monitored from the ERP management system;

[0031] S02: Analyze the urgency of entering production information;

[0032] S03: Predict the update time of the ERP management system;

[0033] S04: Select the production information to be entered that needs to be adjusted;

[0034] S05: Manage the time when the target is entered into the ERP management system, and monitor production information after the entry.

[0035] Furthermore, in step S01: the time series of previous system updates in the ERP management system is collected as t = {t1, t2, ..., t...} n The corresponding time interval sequence is obtained as {t2-t1, t3-t2, ..., t}. n -t n-1}, where n represents the number of times the ERP management system has been updated, the production information to be entered is collected, the planned entry time of the production information is T, the amount of production information to be entered is B, the interval between the planned entry time of the production information and the completion time of the corresponding product is a, the importance of the production information to be entered is w, and historical entry information is collected: the set of production information that has been successfully entered into the ERP management system is b = {b1, b2, ..., bm}, where m represents the number of successful entry of production information, the set of intervals between the entry time of each production information and the completion time of the corresponding product is A = {A1, A2, ..., Am}, and the set of importance of the successfully entered production information is W = {W1, W2, ..., Wm};

[0036] In step S02: according to the formula The urgency level Q of the production information to be entered is calculated, where δ represents the weight base and the influence base of the interval duration and information importance on the urgency level. By collecting and analyzing the amount of production information to be entered, its importance, and the corresponding product's production stage data, the urgency level of the production information to be entered is determined. The more information entered, the longer the entry time; the higher the importance of the information, the greater the impact of missing information during entry; the shorter the time interval between the entry time and the completion of the production of the corresponding product, the shorter the interval between the next stage of product production and the entry time. When the product production stage changes, there will be a handover of production information, at which point the integrity of the production information is more important. Combining the information amount, importance, and time interval data to analyze the urgency level of the production information to be entered, and adding weight parameters according to the influence of different parameters on the urgency level, helps to more accurately filter out the production information that needs to have its entry time adjusted.

[0037] Furthermore, in step S03: according to the formula The time interval s between the (n+1)th and nth updates of the ERP management system is predicted. n ,in, Indicates the weighting coefficient. s n-1 This represents the exponentially smoothed value of the time interval between the nth and (n-1th)th system updates, according to the formula... The exponentially smoothed value s1 of the time interval between the second and first system updates is calculated, where t i and t i-1 These represent the times of the i-th and (i-1)-th ERP management system updates, respectively, according to the formula... The exponentially smoothed value s2 of the time interval between the 3rd and 2nd system updates is calculated, and so on, s is calculated using the same method. n-1 The predicted time for the (n+1)th ERP management system update is t. n +s n The purpose of using exponential smoothing to predict the update time of the ERP management system is to predict in advance whether the information entry time will conflict with the update time. This allows for timely adjustment of the entry time of some information. Entering production information during the update time of the ERP management system may result in information entry failure, interruption, or even information loss. Avoiding the update time helps reduce the probability of information entry failure, interruption, or even information loss.

[0038] Furthermore, in step S04: the urgency threshold F for information entry is calculated according to the following formula:

[0039]

[0040] Where bj represents the amount of production information successfully entered into the ERP management system in a previous random instance, Aj represents the time interval between the entry time of the previous random production information and the completion time of the corresponding product's production, and Wj represents the importance of the previous random production information successfully entered. Compare F with Q and t. n +s n and T: If Q≤F or t n +s n If Q ≠ T, the corresponding production information to be entered will be entered into the ERP management system according to the planned entry time T; if Q > F and t n +s n =T, taking the corresponding production information to be entered as the adjustment target, using big data technology to collect and analyze the production information entry data that has been successfully entered into the ERP management system in the past, and setting the entry urgency threshold based on historical data, which helps to provide factual reference data for considering the urgency of the production information to be entered, and makes it easier to select the production information that needs to be adjusted in time more accurately.

[0041] Furthermore, in step S05: the entry time of the production information to be entered, which is the target of the adjustment, is adjusted to avoid time t. n +s nAt any time, after the production information is entered into the ERP management system, the ERP management system monitors the production information and selects adjustment targets by comparing time and urgency. This helps to avoid conflicts between the key production information entry time and the ERP management system update time, reduces the probability of key production information entry failure, interruption or even information loss, and ensures that the ERP management system can smoothly and intelligently monitor the production information.

[0042] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0043] This invention collects and analyzes the amount and importance of production information to be entered, as well as the corresponding product's production stage data, to determine the urgency of entering the production information. It combines the analysis of information volume, importance, and time interval data to determine the urgency of the production information to be entered, and adds weighted parameters based on the influence of different parameters on the urgency level, enabling more accurate filtering of production information whose entry time needs to be adjusted. It utilizes big data technology to collect and analyze previously successfully entered production information data into the ERP management system, setting an urgency threshold based on historical data, providing factual reference data for considering the urgency of production information to be entered, facilitating more precise selection of production information whose entry time needs adjustment. It uses exponential smoothing to predict the ERP management system's update time, predicting in advance whether the information entry time conflicts with the update time, facilitating timely adjustment of the entry time for some information. Entering production information during the ERP management system update time may result in information entry failure, interruption, or even information loss. Avoiding the update time reduces the probability of failure, interruption, or even information loss in key production information entry, ensuring timely and complete production information entry and guaranteeing smooth intelligent monitoring of production information using the ERP management system. Attached Figure Description

[0044] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0045] Figure 1 This is a structural diagram of the intelligent production information monitoring system based on the ERP management system of this invention;

[0046] Figure 2 This is a flowchart of the intelligent monitoring method for production information based on an ERP management system, as described in this invention. Detailed Implementation

[0047] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0048] The following is combined Figures 1-2 The present invention will be further described with reference to specific embodiments.

[0049] Example 1:

[0050] like Figure 1 As shown, this embodiment provides an intelligent monitoring system for production information based on an ERP management system. The system includes: a management information collection module, a database, a data entry and analysis module, a system update and analysis module, and a production information management module.

[0051] The output of the management information acquisition module is connected to the input of the database. The output of the database is connected to the input of the data entry and analysis module and the system update and analysis module. The output of the data entry and analysis module and the system update and analysis module is connected to the input of the production information management module.

[0052] The management information collection module is used to collect historical update information and production information that needs to be monitored from the ERP management system, and transmit all the collected information to the database;

[0053] The database is used to store all the collected information;

[0054] The data entry and analysis module is used to analyze the urgency of entering production information.

[0055] The system update analysis module is used to predict the update time of the ERP management system;

[0056] The production information management module is used to manage the time for entering production information to be entered into the ERP management system.

[0057] The management information collection module includes an update information collection unit and a production information collection unit;

[0058] The output terminals of the updated information acquisition unit and the production information acquisition unit are connected to the input terminals of the database;

[0059] The update information collection unit is used to collect information on the time when the ERP management system was previously updated;

[0060] The production information collection unit is used to collect production information that needs to be monitored in the ERP management system, and to obtain data on the planned entry time, the amount of production information to be entered, and the importance of the production information to be entered.

[0061] The data entry and analysis module includes a unit for retrieving information to be entered and a unit for analyzing urgency.

[0062] The input end of the information retrieval unit is connected to the output end of the database, and the output end of the information retrieval unit is connected to the input end of the urgency analysis unit.

[0063] The information retrieval unit is used to retrieve production information to be entered.

[0064] The urgency analysis unit is used to analyze the urgency of entering production information into the ERP management system.

[0065] The system update analysis module includes an update information retrieval unit and an update time prediction unit;

[0066] The input of the update information retrieval unit is connected to the output of the database, and the output of the update information retrieval unit is connected to the input of the update time prediction unit.

[0067] The update information retrieval unit is used to retrieve information on past system update intervals from the ERP management system.

[0068] The update time prediction unit is used to predict when the ERP management system will need to be updated.

[0069] The production information management module includes a target selection adjustment unit and an input time adjustment unit;

[0070] The input of the target selection unit is connected to the output of the urgency analysis unit, the output of the target selection unit is connected to the input of the input time adjustment unit, and the input of the input of the input time adjustment unit is connected to the output of the update time prediction unit.

[0071] The target selection unit is used to analyze the urgency threshold of information entry, compare the urgency of entering production information into the ERP management system with the threshold, and if the urgency does not exceed the threshold or the planned entry time of the production information to be entered is different from the predicted update time of the ERP management system, the corresponding production information to be entered will be entered into the ERP management system according to the planned entry time; if the urgency exceeds the threshold and the planned entry time of the production information to be entered is the same as the predicted update time of the ERP management system, the corresponding production information to be entered will be used as the adjustment target.

[0072] The data entry time adjustment unit is used to adjust the data entry time of the production information to be entered, which is the target of the adjustment, so that the data entry time is adjusted to any time that avoids the predicted update time of the ERP management system.

[0073] Example 2:

[0074] like Figure 2 As shown, this embodiment provides an intelligent monitoring method for production information based on an ERP management system. It is implemented using the monitoring system described in this embodiment and specifically includes the following steps:

[0075] S01: Collect historical update information and production information to be monitored from the ERP management system. The time series of previous system updates from the ERP management system is collected as t = {t1, t2, t3, t4}, resulting in the corresponding time interval sequence {t2-t1, t3-t2, t4-t3} = {10, 30, 25}, in days. Collect the production information to be monitored and input. The planned input time for the production information is T: 22 days after the previous system update. The amount of production information to be input is B = 1, in GB. The planned input time for the production information is related to the production... The interval between the completion time of the entire production of the product corresponding to the production information is a = 2 days, and the importance of the production information to be entered is w = 0.7. The collection of historical entry information: the set of production information that has been successfully entered into the ERP management system is b = {b1, b2, b3} = {0.6, 2, 0.8}. The set of intervals between the entry time of each production information and the completion time of the entire production of the product corresponding to the production information is A = {A1, A2, A3} = {4, 1, 7}, and the set of importance of the successfully entered production information is W = {W1, W2, W3} = {0.5, 0.9, 0.3}.

[0076] S02: Analyze the urgency of entering production information, setting a weighted baseline δ = 1, where δ represents the baseline weighting of the influence of interval duration and information importance on the urgency of information entry, according to the formula... The urgency level Q of the production information to be entered is calculated, and Q = 1.4 is obtained;

[0077] S03: Predict the update time of the ERP management system, based on the formula. The time interval s4 between the (n+1)th and n=4th updates of the ERP management system is predicted, and a weighting coefficient is set. s n-1 This represents the exponentially smoothed value of the time interval between the nth and (n-1th)th system updates, according to the formula... The exponentially smoothed value s1 = 17 is calculated to be the time interval between the second and first system updates, where t i and t i-1 These represent the times of the i-th and (i-1)-th ERP management system updates, respectively, according to the formula... The exponentially smoothed value of the time interval between the 3rd and 2nd system updates, s2≈14, is calculated using the same method, and s3≈20 is obtained. The predicted time for the (n+1)th ERP management system update is t4+s4, and the ERP management system will be updated 22 days after t4.

[0078] S04: Select the production information to be entered that needs to be adjusted, and apply the formula... The calculated urgency threshold for information entry is F≈1.24. Comparing F with Q, t4+s4 with T: Q>F and t4+s4=T, the corresponding production information to be entered is taken as the adjustment target.

[0079] S05: Manage the time when the target is entered into the ERP management system. After the entry, monitor the production information and adjust the entry time of the production information to be entered, which is the target of the adjustment. Adjust the entry time to any time that avoids time t4+s4. After the production information is entered into the ERP management system, use the ERP management system to monitor the production information.

[0080] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent monitoring of production information based on an ERP management system, characterized by: Includes the following steps: S01: Collect historical update information and production information that needs to be monitored from the ERP management system; S02: Analyze the urgency of entering production information; S03: Predict the update time of the ERP management system; S04: Select the production information to be entered that needs to be adjusted; S05: Manage the time when the target is entered into the ERP management system, and monitor production information after the entry; The time series of previous system updates collected from the ERP management system is t={t1, t2, ..., t... n The corresponding time interval sequence is obtained as {t2-t1, t3-t2, ..., t}. n -t n-1 }, where n represents the number of times the ERP management system has been updated, and t n t represents the time when the ERP management system performs the nth system update. n-1 This indicates the time of the (n-1)th system update in the ERP management system, according to the formula... The time interval s between the (n+1)th and nth updates of the ERP management system is predicted. n ,in, Indicates the weighting coefficient. s n-1 This represents the exponentially smoothed value of the time interval between the nth and (n-1th)th system updates, according to the formula... The exponentially smoothed value s1 of the time interval between the second and first system updates is calculated, where t i and t i-1 These represent the times of the i-th and (i-1)-th ERP management system updates, respectively, according to the formula... The exponentially smoothed value s2 of the time interval between the 3rd and 2nd system updates is calculated, and so on, s is calculated using the same method. n-1 The predicted time for the (n+1)th ERP management system update is t. n +s n Calculate the urgency level Q of the production information to be entered, obtain the urgency threshold F, and compare F with Q and t. n +s n and T: If Q≤F or t n +s n If Q ≠ T, the corresponding production information to be entered will be entered into the ERP management system according to the planned entry time T; if Q > F and t n +s n =T, taking the corresponding production information to be entered as the adjustment target, adjusts the entry time of the production information to be entered to avoid time t. n +s n At any time.

2. The intelligent monitoring method for production information based on an ERP management system according to claim 1, characterized in that: In step S01: Collect the production information to be monitored that needs to be entered, obtain the planned entry time of the production information as T, obtain the amount of production information to be entered as B, the interval between the planned entry time of the production information to be entered and the completion time of the production of the corresponding product as a, and the importance of the production information to be entered as w. Collect historical entry information: collect the set of production information that has been successfully entered into the ERP management system as b={b1, b2, ..., bm}, where m represents the number of successful entry of production information, the set of intervals between the entry time of each production information and the completion time of the production of the corresponding product as A={A1, A2, ..., Am}, and the set of importance of the production information that has been successfully entered as W={W1, W2, ..., Wm}. In step S02: according to the formula Calculate the urgency level Q of the production information to be entered, where, This represents the weighting base.

3. The intelligent monitoring method for production information based on an ERP management system according to claim 2, characterized in that: In step S04: The urgency threshold F for information entry is calculated according to the following formula: ； Where bj represents the amount of production information that has been successfully entered into the ERP management system in a previous random instance, Aj represents the time interval between the entry time of the previous random instance of production information and the completion time of the production of the corresponding product, Wj represents the importance of the previous random instance of production information that has been successfully entered, and j represents the j-th successful entry of production information.

4. The intelligent monitoring method for production information based on an ERP management system according to claim 3, characterized in that: In step S05: After the production information is entered into the ERP management system, the production information is monitored using the ERP management system.

5. An intelligent production information monitoring system based on an ERP management system, applied to the intelligent production information monitoring method based on an ERP management system as described in claim 1, characterized in that: The system includes: a management information collection module, a database, a data entry and analysis module, a system update and analysis module, and a production information management module; The output of the management information acquisition module is connected to the input of the database, the output of the database is connected to the input of the data entry and analysis module and the system update and analysis module, and the output of the data entry and analysis module and the system update and analysis module is connected to the input of the production information management module. The management information collection module is used to collect historical update information and production information that needs to be monitored from the ERP management system, and transmit all the collected information to the database; The database is used to store all the collected information; The data entry and analysis module is used to analyze the urgency of entering production information to be entered. The system update analysis module is used to predict the update time of the ERP management system; The production information management module is used to manage the time for entering production information to be entered into the ERP management system.

6. The intelligent production information monitoring system based on an ERP management system according to claim 5, characterized in that: The management information collection module includes an update information collection unit and a production information collection unit; The output terminals of the update information collection unit and the production information collection unit are connected to the input terminal of the database; The update information collection unit is used to collect information on the time when the ERP management system was previously updated. The production information collection unit is used to collect production information that needs to be monitored in the ERP management system and to obtain the planned entry time, the amount of production information to be entered, and the importance of the production information to be entered.

7. The intelligent production information monitoring system based on an ERP management system according to claim 5, characterized in that: The data entry and analysis module includes a data retrieval unit for information to be entered and an urgency analysis unit. The input end of the information retrieval unit is connected to the output end of the database, and the output end of the information retrieval unit is connected to the input end of the urgency analysis unit. The information retrieval unit is used to retrieve the production information to be entered; The urgency analysis unit is used to analyze the urgency of entering production information into the ERP management system.

8. The intelligent production information monitoring system based on an ERP management system according to claim 7, characterized in that: The system update analysis module includes an update information retrieval unit and an update time prediction unit; The input terminal of the update information retrieval unit is connected to the output terminal of the database, and the output terminal of the update information retrieval unit is connected to the input terminal of the update time prediction unit. The update information retrieval unit is used to retrieve past system update interval information of the ERP management system; The update time prediction unit is used to predict when the ERP management system will need to be updated.

9. The intelligent production information monitoring system based on an ERP management system according to claim 8, characterized in that: The production information management module includes a target selection adjustment unit and an input time adjustment unit; The input terminal of the adjustment target selection unit is connected to the output terminal of the urgency analysis unit, the output terminal of the adjustment target selection unit is connected to the input terminal of the input time adjustment unit, and the input terminal of the input time adjustment unit is connected to the output terminal of the update time prediction unit. The adjustment target selection unit is used to analyze the urgency threshold of information entry, compare the urgency of entering the production information to be entered into the ERP management system with the threshold, and if the urgency does not exceed the threshold or the planned entry time of the production information to be entered is different from the predicted update time of the ERP management system, the corresponding production information to be entered into the ERP management system according to the planned entry time. If the urgency level exceeds the threshold and the planned entry time for the production information to be entered is the same as the predicted update time of the ERP management system, the corresponding production information to be entered will be used as the adjustment target. The data entry time adjustment unit is used to adjust the data entry time of the production information to be entered, which is the target of the adjustment, so that the data entry time is adjusted to any time that avoids the predicted update time of the ERP management system.

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