CN117311299B - Factory management system and method based on multi-source heterogeneous data integration - Google Patents
Factory management system and method based on multi-source heterogeneous data integration Download PDFInfo
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Abstract
The invention relates to the technical field of data processing, in particular to a factory management system and method based on multi-source heterogeneous data integration. The method comprises the following steps: s100: the method comprises the steps of acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data; s200: monitoring production management data changes, and scheduling production tasks of all production lines according to the production line data when the production task data are obtained to generate changes; s300: the production task data comprise the product types of orders, the production line data comprise the product types correspondingly produced by the production line, and the production pressure of each product type is calculated according to the production task schedule, the production task data and the production line data of the production line. Can play a role in decision making and ensure the maximization of production efficiency.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a factory management method and system based on multi-source heterogeneous data integration.
Background
Along with the advanced intelligent manufacturing of manufacturing industry, the construction of intelligent factories and industrial internet platforms is actively promoted, and a certain number of enterprises have better progress in the aspect of basic automation and equipment intelligence. The data is taken as a new production element, becomes an important productivity of the transformation upgrading and the quality development of the manufacturing industry, and the 'data driving' type enterprise is an important development direction of future manufacturing enterprises. Along with the popularization of intelligent factories and industrial Internet, the flow type manufacturing industry gathers complex data information such as production equipment, process flows, management and control systems, external client information, market information and multi-source heterogeneous data with large industrial data span from a manufacturing workshop to a cloud platform. At present, more and more enterprises are aware of the importance of data application and are willing to put into data acquisition and application. But for factories, the related data comprises multi-source heterogeneous data such as internal informatization management system storage data, production line equipment interconnection data, enterprise external data, internet data and the like.
Multisource heterogeneous data refers to data from different data sources, formats, and types. In the case of multi-source data, the data of different data sources often have respective data structures and data formats, which results in data heterogeneity. For example, a piece of data may come from multiple sources, which may use different data formats, such as XML, JSON, CSV, etc. Further, the data may contain different fields and data types, such as numerical values, text, dates, etc.
At present, although enterprises adopt technologies such as data warehouse, ETL and the like, multisource heterogeneous data which are scattered, disordered and non-uniform in the enterprises are integrated together, and an analysis basis is provided for decision making of the enterprises. But only filters and sorts the data, and only plays an auxiliary role for decision making or human making.
Disclosure of Invention
The technical problem solved by the invention is to provide a factory management method based on multi-source heterogeneous data integration, which plays a role in decision making and ensures the maximization of production efficiency.
The basic scheme provided by the invention is as follows: the factory management method based on multi-source heterogeneous data integration comprises the following steps:
s100: the method comprises the steps of acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data;
s200: monitoring production management data changes, and scheduling production tasks of all production lines according to the production line data when the production task data are obtained to generate changes;
s300: the production task data comprise the product types of the orders, the production line data comprise the product types correspondingly produced by the production line, and the production pressure of the orders of the product types is calculated according to the production task schedule, the production task data and the production line data of the production line;
S400: according to workshop personnel data, calculating the utilization rate of personnel in each production line, judging the production efficiency of the personnel in each production line according to the utilization rate of the personnel in each production line, calculating the production pressure on each product type production line according to the production line data, and generating a personnel mobilization strategy between the production lines according to the production pressure and the production efficiency of the personnel in each production line.
The principle of the invention is as follows: and acquiring multi-source heterogeneous data of each data source of the factory, such as data generated by an internal management system of the factory, interconnection data of production and processing equipment, management data of workers and data of an external docking system of an enterprise. The acquired multi-source heterogeneous data is subjected to extraction, cleaning, conversion and other treatments, the acquisition, extraction, conversion and cleaning of the data can be completed by adopting ETL, and then the content of the multi-source heterogeneous data is identified to complete classification of the acquired multi-source mechanism data. When in use. The production task data and the production line data are monitored in real time, when the change of the production task data is obtained, such as newly-added tasks, urgent orders, order quantity change and the like, the production task scheduling of each production line is carried out according to the real-time data on the production lines, and the production tasks are planned. As the same production line in the factory is used for producing the same type of products, production lines of various types of products exist in the factory, and the production pressure of orders of various types of products is calculated according to the production task schedule, the production task data and the production line data on each production line. And then, calculating the utilization rate of the personnel on each production line according to the personnel data of the workshops, wherein the utilization rate=the working time/the whole day working time, the utilization rate can reflect the production efficiency of the personnel and whether the action is simple and brief, if the production efficiency and the action are same in the whole day working time, the quantity of the produced products is the same, the lower the utilization rate is, the higher the efficiency of the personnel is, the simpler and brief action is realized, and the utilization rate is lower. If the working time is the same throughout the day, the utilization rate is the same, the more the quantity of the produced products is, the higher the production efficiency of personnel is, and the action is simpler and more brief.
Compared with the prior art, the following advantages exist:
1. the application data is obtained by frequently collecting, sorting and classifying the multi-source heterogeneous data of the factory, and the production tasks are automatically scheduled according to the production line data when the production task data change. Plays a role in decision assistance.
2. By calculating the production pressure of production orders of various types of products on the production line, when the production pressure of a certain type of product is high, personnel scheduling can be performed on other production lines with low production pressure, and dynamic scheduling of production personnel is performed according to the production pressure, so that the optimization of production efficiency is ensured.
3. And evaluating the production efficiency of the personnel according to the utilization rate of the personnel. The conventional production efficiency judging method generally evaluates the working efficiency of a person by counting the number of products produced by the person in a unit time. However, on the production line, the production progress of the next process may be affected by the previous process and the flow speed of the production line, and for the personnel with higher working efficiency, the experienced personnel can complete the production operations such as assembly and assembly in a short time through simple actions, and more free time exists. According to the scheme, the production efficiency of the personnel is evaluated through the utilization rate of the personnel, the production efficiency of the personnel can be evaluated more comprehensively, and sufficient data support is provided for personnel scheduling.
Further, the step S200 includes the steps of:
s210: the production task data change comprises a new production task, and when the new production task is acquired, the number of production lines corresponding to the product types and the existing production task schedule of each production line are acquired according to the product types of orders in the new production task;
s220: the production line data also comprises the production speed of each production line, the production task data also comprises the number of ordered products, and the production schedule completion date of each production line is calculated according to the number of ordered products and the production speed of the production line in the existing production task schedule of the production line;
s230: calculating the time difference of the production schedule completion date of each production line, judging that the time difference between two or more production lines is smaller than the preset time difference, if so, marking the production line meeting the condition as a first production line, marking the other production lines as a second production line, executing S231, and if not, executing S240;
s231: judging whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line and the earlier time exceeds a preset time threshold, if yes, executing S240, and if no, executing S232;
S232: decomposing the newly added production task and then adding a production task schedule of the first production line;
s240: adding the newly added production task to the production task schedule of the production line with the earliest completion date of the production schedule in the production lines.
In a factory, a plurality of production lines can exist for producing the same type of products, when a new production task appears, the new production task is added to the production task schedule of the production lines, and the production schedule completion date on each production line is calculated according to the production speed of each production line and the number of products in the production schedule. At this point, it is calculated that the new task is not added to any production line, and each production line completes the production schedule completion date of the currently existing production task. And then judging whether the production schedule completion dates on all the production lines are similar or not by calculating the time difference between the production schedule completion dates of the production lines, if the production schedule completion dates are similar, decomposing the newly added production tasks and then distributing the newly added production tasks to the production lines with similar completion dates, so that a plurality of production lines can jointly complete orders, the completion speed of the orders is improved, and if the production schedule completion dates of all the production lines are irregular, directly arranging the production lines to the production schedule completion date of the earliest. Meanwhile, it is also required to determine whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the second production line, and the earlier time exceeds a preset time threshold. If the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, even if the first production line has a plurality of production lines to jointly produce the newly added production task, the completion date of the newly added production task cannot be earlier than the earliest production line in the second production line to independently produce, so that the newly added production task is independently distributed to the production line with the earliest production schedule date. If the date of the earliest production schedule in the second production line is closer to the date of the earliest production schedule in the first production line, the date of the second production line for independently completing the newly added production task is later than the date of the first production line for completing the newly added production task together, so that the first production line is arranged to complete together even if the date of the earliest production schedule in the second production line is earlier. And then, a new production task is carried out, and the production line with the earliest production schedule completion date in the second production line can independently complete the new production task, so that the optimization of the processing efficiency of the newly added product order is ensured.
Further, in S231, a time threshold is set according to the number of products ordered in the newly added production task, and the larger the number of products, the larger the time threshold.
The greater the number of products ordered, the greater the time gap between individual and collaborative completions, and therefore the greater the number of products, the greater the set time threshold.
Further, the step S200 includes the following steps:
s250: the production task data change includes production task cancellation, when the cancellation of the production task is acquired, acquiring the production state of the production task schedule of the cancelled production task in the production line, wherein the production state includes to-be-produced and in production, when the production state is to-be-produced, executing S251, if the production state is in production, executing S252, and if the production state is in production, executing S253;
s251: canceling the canceled production task from the production task schedule;
s252: determining the number of finished products, wherein the cancelled production tasks are produced together by a first production line or produced independently by one production line, if the cancelled production tasks are produced together by the first production line, acquiring the number of products of orders of next production tasks in the production task schedule of each production line in the first production line, selecting a production line closest to the number of products of orders of next production tasks in the production task schedule closest to the data of the finished products, and dispatching the finished products to the production line;
If the product is produced by one production line, the production task is canceled, and the number of finished products is added to the subsequent production tasks of the production line.
When a production task is canceled, the production status of the canceled production task is acquired, either waiting for production in a queue or already in progress. If the production task is waiting for production, the production task is directly cancelled from the production task schedule. Because of the scheme, the production tasks in the production task scheduling comprise two modes of co-production by the first production line and single production by one production line. If a production line is used for independent production, the production task is directly cancelled, the completion date of the production schedule is greatly advanced, and the newly added production task can be independently accepted when the new production task is scheduled. If the production tasks are completed by the first production line together, the starting time and the ending time of each production in the first production line are similar, and the influence on the scheduling of the production tasks of each production line in the first production line is not great after the production tasks are canceled.
If the cancelled production task is already in production, a part of products are finished in production, if the cancelled production task is produced together by the first production line, the quantity of finished products which are jointly finished by the first production line is obtained, the quantity of products of orders of next production tasks of all production lines in the first production line is obtained, one of the products which is closest to the quantity of finished products is selected, the finished products are dispatched to the production line, so that the production line can finish the next production task as soon as possible, and the newly added production task is accepted after the delivery of the orders is finished. If the product is produced by one production line, the finished product is directly added to the next production task.
Further, the step S200 includes the following steps:
s260: the production task data change comprises production task emergency, when the production task emergency is acquired, whether the emergency production task is in production task scheduling is acquired, if not, S261 is executed, and if yes, S262 is executed;
s261: selecting a production line with the least common production tasks according to the number of products in orders of the urgent production tasks, wherein the production line with the earliest completion time of the production tasks currently being produced, and adding the urgent production tasks to the forefront position in the production task schedule of the production line;
s262: and advancing the urgent production task to the forefront position in the production task scheduling.
When the production task is urgent, if the urgent production task is a newly added production task, the production line with the shortest common production task and the earliest production time of normal production is obtained. For the urgent production task, the conventional means is to insert the urgent task into the production line capable of starting the processing fastest, but in this scheme, if the urgent task is inserted into the production line with more common production tasks, a large difference occurs in the time for completing the common production tasks, so that the production line with the least common production tasks is selected.
Further, in S330, the pressure level of the production pressure includes small, medium, large, and extremely large in order from small to large;
the step S400 further includes the steps of:
s430: when the pressure level of the production pressure of the product type is large or extremely large, calculating the average utilization rate of the production line of the product type, and acquiring the utilization rate of production personnel on the production line of the product type with small or medium production pressure;
s440: generating a scheduling strategy, scheduling the producers with higher utilization rate than the average utilization rate on other production lines to the production line of the product type, and scheduling the producers with lower utilization rate than the average utilization rate on the production line of the product type to other production lines according to the scheduled number of people.
There are various product types of production lines in a factory, and the production requirements of different product types are different according to the emphasis of the factory. And calculating the average time for completing the production task scheduling of the production lines of each product type, and setting the pressure time according to the number of the production lines of each type of product, wherein the pressure time is shorter as the number of the production lines is larger. When the average time is less than the pressure time, the closer the average time is to the pressure time, the greater the production pressure. Because the more production lines, the more products are produced simultaneously, and the more products are produced according to the production pressure, the personnel are scheduled according to the production pressure in the scheme, if the same pressure time is set, the pressure time can be more easily reached by the production lines, and the conditions that the personnel with more production lines schedule the production lines with less production lines are caused, so that the reaction affects the production of the products with large product demand. Therefore, the more the number of the production lines is set, the maximum production pressure is achieved, and the priority production of the products with large demand is ensured as much as possible.
Further, the step S400 includes the steps of:
s410: the workshop personnel data comprise workshop image data and personnel scheduling data, the on-duty time of production personnel is identified according to the workshop image data, the whole-day on-duty time of the production personnel is determined according to the personnel scheduling data, and the utilization rate of the production personnel is calculated according to the on-duty time and the whole-day on-duty time of the production personnel, wherein the utilization rate=the on-duty time/the whole-day on-duty time;
s420: the workshop personnel data further comprise the total daily production number of the production personnel, the production efficiency of the production personnel is determined according to the total daily production number of the production personnel and the utilization rate, and the efficiency value is calculated through the utilization rate and the total daily production number, wherein the efficiency value=total daily production number/utilization rate, and the higher the efficiency value is, the higher the production efficiency is.
Further, in S330, the pressure level of the production pressure includes small, medium, large, and extremely large in order from small to large;
the step S400 further includes the steps of:
s430: when the pressure level of the production pressure of the product type is large or extremely large, calculating the average utilization rate on the production line, and acquiring the utilization rate of production personnel on the production line of the product type with small or medium production pressure;
S440: generating a scheduling strategy, scheduling the producers on other production lines to the production line with the utilization rate higher than the average utilization rate, and scheduling the producers on the production line with the utilization rate lower than the average utilization rate of the corresponding population according to the number of the scheduled population to other production lines.
When the production pressure is high, the utilization rate of the production line is obtained, the average utilization rate is calculated, the utilization rates of the personnel on other production lines are obtained, the personnel with the utilization rate higher than the average utilization rate on the other production lines are selected to be dispatched to the production line, and therefore the personnel with more abundant working experience are selected.
The invention also discloses a factory management system based on multi-source heterogeneous data integration, which comprises a data acquisition module, a production scheduling module, a pressure calculation module, a production mobilization module and a time setting module;
the data acquisition module is used for acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data;
the production scheduling module is used for monitoring production management data changes, and when the production task data are obtained to change, the production task scheduling of each production line is carried out according to the production line data;
The pressure calculation module is used for calculating the production pressure of each product type according to the production task schedule, the production task data and the production line data of the production line, wherein the production task data comprise the product types of the order, and the production line data comprise the product types correspondingly produced by the production line;
the production mobilization module calculates the utilization rate of each production line personnel according to workshop personnel data, judges the production efficiency of each production personnel according to the utilization rate of each production personnel, calculates the production pressure on each product type production line according to the production line data, and generates a production personnel mobilization strategy between the production lines according to the production pressure and the production efficiency of the production personnel;
the production scheduling module comprises a newly added task module, a cancelled task module, an urgent task module, a completion calculation module, a production line marking module and a scheduling distribution module;
the newly-added task module is used for obtaining the number of production lines corresponding to the product types and the existing task schedule of each production line according to the product types of orders in the newly-added task when the newly-added production task is obtained;
the completion calculation module is used for calculating the production schedule completion date of each production line according to the number of ordered products and the production speed of the production line in the existing production task scheduling of the production line, wherein the production line data further comprise the production speed of each production line;
The production line marking module is used for calculating the time difference of the production schedule completion dates of all production lines, judging that the time difference between two or more production lines is smaller than the preset time difference, if so, marking the production line meeting the conditions as a first production line, marking the other production lines as a second production line, judging whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, and the earlier time exceeds a preset time threshold;
the scheduling distribution module is used for judging whether the earliest production scheduling completion date in the second production line is earlier than the earliest production scheduling completion date in the first production line, and the earlier time exceeds a preset time threshold, if so, adding the production task scheduling of the first production line after decomposing the newly added production task, so that the first production line jointly produces, and if not, adding the newly added production task to the production task scheduling of the production line with the earliest production scheduling completion date in the production line;
the time setting module is used for setting a time threshold according to the number of products ordered in the newly-added production task, wherein the more the number of products is, the larger the time threshold is;
The production task canceling module is used for acquiring the production state of the production task schedule of the canceled production task in the production line when acquiring the production task canceling, wherein the production state comprises to-be-produced and in-production;
the scheduling distribution module is further used for canceling the cancelled production tasks from the production task schedule when the production state is to be produced, determining the number of finished products when the production state is in production, and enabling the cancelled production tasks to be produced together by the first production line or produced independently by one production line, if the cancelled production tasks are produced together by the first production line, acquiring the number of products of orders of the next production task in the production task schedule of each production line in the first production line, selecting a production line closest to the number of products of the orders of the next production task in the production task schedule closest to the data of the finished products, and scheduling the finished products to the production line;
if the product is produced by one production line, the cancelled production task is added, and the number of finished products is added to the subsequent production tasks of the production line;
the urgent task module is used for obtaining whether the urgent production task is in the production task scheduling or not when the production task is obtained;
The scheduling distribution module is further used for selecting a production line with the least production tasks to be commonly produced according to the number of products in the orders of the urgent production tasks when the urgent production tasks are not in scheduling, adding the urgent production tasks to the front position in the production task scheduling of the production line, and advancing the urgent production tasks to the front position in the production task scheduling when the urgent production tasks are in scheduling, wherein the production line with the least production tasks currently being produced has the earliest completion time.
Further, the pressure calculation module comprises an average time calculation module, a pressure time module and a pressure judgment module;
the average time calculation module is used for calculating the average time of the completion of the scheduling of the current production task on each production line of various product types;
the pressure time module is used for setting pressure time according to the number of production lines of each product type, and the pressure time is shorter as the number of the production lines is larger;
the pressure judging module is used for judging the production pressure, when the average time is smaller than the pressure time, the average time is closer to the pressure time, the production pressure is larger, and when the average time is larger than the pressure time, the average time is larger, and the production pressure is larger;
The production scheduling module comprises an utilization rate calculation module, an efficiency calculation module, a utilization rate acquisition module and a scheduling generation module;
the workshop personnel data comprises workshop image data and personnel scheduling data, the workshop personnel data is used for identifying the on-duty time of production personnel according to the workshop image data, determining the whole-day on-duty time of the production personnel according to the personnel scheduling data, and calculating the utilization rate of the production personnel according to the on-duty time and the whole-day on-duty time of the production personnel, wherein the utilization rate=the on-duty time/the whole-day on-duty time;
the workshop personnel data further comprises the total daily production number of the production personnel, the production efficiency of the production personnel is determined according to the total daily production number of the production personnel and the utilization rate, and the efficiency value is calculated through the utilization rate and the total daily production number, wherein the higher the efficiency value is, the higher the production efficiency is;
the system comprises an operation rate acquisition module, a control module and a control module, wherein the pressure level of the production pressure sequentially comprises small, medium, large and large from small to large, and when the pressure level of the production pressure of a product type is large or large, the average operation rate of a production line of the product type is calculated, and the operation rate of production personnel on the production line of the product type with the small or medium production pressure is acquired;
The scheduling generation module is used for generating a scheduling strategy, scheduling the producers with the utilization rate higher than the average utilization rate on other production lines to the production line of the product type, and scheduling the producers with the utilization rate lower than the average utilization rate on the production line of the product type to other production lines according to the number of scheduled persons.
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FIG. 1 is a flow chart of an embodiment of a method for managing a plant based on multi-source heterogeneous data integration according to the present invention.
Detailed Description
The following is a further detailed description of the embodiments:
an example is substantially as shown in figure 1:
the factory management method based on multi-source heterogeneous data integration comprises the following steps:
s100: and acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data. Specifically, in this embodiment, multi-source heterogeneous data in a factory is obtained through an existing ETL system, where the multi-source heterogeneous data includes application data generated by an internal management system, interconnection data of production and processing equipment, management data of workers, and external docking system data of an enterprise, and the obtained multi-source heterogeneous data is extracted, cleaned, converted, and the like, and then the obtained application data is classified to obtain production management data. The production management data comprises production task data, production line data and workshop personnel data.
The production task data comprise production tasks, the types of ordered products and the quantity of ordered products, the main sources of the production task data and an internal management system, and an enterprise external docking system obtains unique production task data by removing repeated data.
The production line data comprises the type of the product correspondingly produced by the production line and the production speed of the production line. The data mainly originate from interconnection data generated by an internal management system and production and processing equipment.
The workshop personnel data comprise workshop image data and personnel scheduling data, and the data mainly originate from management data of workers and an internal management system.
The production task data, the production line data and the workshop personnel data are respectively obtained for subsequent work through heterogeneous collection, cleaning, conversion and classification.
S200: monitoring production management data changes, and when the production task data changes, scheduling production tasks of all production lines according to the production line data. Specifically, the factory produces the ordered products, so that when the factory works daily, the production task data change is the most critical, the customer can directly submit the orders to the factory through the external docking system, or the factory internal personnel can input the signed orders, and the real-time situation of the orders is updated. That is, the change of the order state will cause the change of the production task data, and when the production task data is changed, the order scheduling needs to be arranged according to the production line data, that is, the current situation on the production line. The production task data change in this embodiment includes new production task addition, production task cancellation, and production task urgent.
S210: when the new production task is obtained, the number of production lines corresponding to the product types and the existing production task schedule of each production line are obtained according to the product types of the orders in the new task. Because different products are produced in a factory and are produced through different production lines, when a new production task is obtained, firstly, according to the types of products ordered in the new task in production task data, the number of production lines corresponding to the types of the products and the production task scheduling of the production lines are obtained through the production line data. For example, when the product type of the newly added production task is product A, the number of production lines for producing product A and the production task schedule of each production line are obtained.
S220: and calculating the completion date of the production schedule of each production line according to the quantity of ordered products and the production speed of the production line in the existing production task schedule of the production line. When the production task schedule of the production lines is obtained, the production schedule completion date of each production line is calculated according to the number of products of the orders which are scheduled in each production line and the production speed of the production lines. At this time, the date of the completion of the scheduling of all production tasks by the production line is calculated, for example, the current production line 1 has 3 schedules of production orders, the number of products of the order a is 300, the number of products of the order b is 100, the number of products of the order c is 400, the total number of products of the order c is 800, the production speed of the production line 1 is 400 per day, and the date of the completion of the current production schedule by the production line 1 is 2 days later. In this way, the production schedule completion dates of the production lines of all corresponding production types in the new proliferated production task order are calculated.
S230: and calculating the time difference of the production schedule completion date of each production line, judging that the time difference between two or more production lines is smaller than the preset time difference, if so, marking the production line meeting the condition as a first production line, marking the other production lines as a second production line, executing S231, and if not, executing S240. Calculating the time difference of the completion date of the production schedule of each production line, when the time difference between two or more production lines is smaller than the preset time difference, marking the production line meeting the condition as a first production line, in the embodiment, fixedly selecting one production line, calculating the time difference with other production lines, selecting the first production line with the most time difference with other production lines smaller than the preset time difference as the first production line, and the rest as the second production line. If the number is the same, selecting the first production line with smaller sum of time differences or with earlier completion date of production schedule. For example, five existing production lines including production line 1, production line 2, production line 3, production line 4 and production line 5 are set to have a preset time difference of 1 day, production line 2 has a production schedule completion date of 6 days after production line 1 has a production schedule completion date of 4 days, production line 4 has a production schedule completion date of 9 days after production line 3 has a production schedule completion date of 9 days, production line 5 has a production schedule completion date of 6 days, at this time, the time difference between the production schedule completion dates of production line 2 and production line 5 is smaller than the preset time difference, and the sum of the time differences between the production schedule completion dates of production line 2 and production line 5 is smaller, so that production line 2 and production line 5 are selected as the first production line, and production line 1, production line 3 and production line 4 are selected as the second production line.
S231: judging whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, and the earlier time exceeds a preset time threshold, if yes, executing S240, and if no, executing S232. At this time, it is further determined whether the earliest production schedule completion date in the first production line is later than the earliest production task schedule period in the second production line, and whether the earliest production schedule completion date is later than a preset time threshold. If the completion date of a single production is earlier than the completion date of a co-production, than if the completion date of the co-production is later than the preset time threshold, there is no need for the co-production. Assuming that the time threshold is 1.5 days, after the earliest production schedule completion date in the first production line is 6 days, after the earliest production schedule completion date in the second production line is 4 days, the preset time threshold is exceeded for 1.5 days, so that S240 is directly executed, and the newly added production task is added to the production task schedule of the production line with the earliest production schedule completion date in the production line, that is, the production is performed by the production line 1. If the time threshold is 2 days, the time threshold is not exceeded, and S232 is executed, and the production task schedule of the first production line is added after the newly added production task is decomposed, so that the first production lines produce together. That is, the product is co-produced by the production line 3 and the production line 4, and in this embodiment, the number of products of the order allocated at the time of co-production is allocated according to the production speed ratio of the production line.
In other embodiments of the present application, a time threshold is also set according to the number of products ordered and the number of first production lines, the more the number of products, the greater the time threshold and the more the number of first production lines, the smaller the time threshold.
And judging whether the production schedule completion dates on all the production lines are similar or not by calculating the time difference between the production schedule completion dates of the production lines, if the production schedule completion dates are similar, decomposing the newly added production tasks and then distributing the newly added production tasks to the production lines with similar completion dates, so that a plurality of production lines can jointly complete orders, the completion speed of the orders is improved, and if the production schedule completion dates of all the production lines are uneven, directly arranging the production lines to the production schedule completion date of the earliest. Meanwhile, it is also required to determine whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, and the earlier time exceeds a preset time threshold. If the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, even if the first production line has a plurality of production lines to jointly produce the newly added production task, the completion date of the newly added production task cannot be earlier than the earliest production line in the second production line to independently produce, so that the newly added production task is independently distributed to the production line with the earliest production schedule date. If the date of the earliest production schedule in the second production line is closer to the date of the earliest production schedule in the first production line, the date of the second production line for independently completing the newly added production task is later than the date of the first production line for completing the newly added production task together, so that the first production line is arranged to complete together even if the date of the earliest production schedule in the second production line is earlier. And then, a new production task is carried out, and the production line with the earliest production schedule completion date in the second production line can independently complete the new production task, so that the optimization of the processing efficiency of the newly added product order is ensured.
S250: when the cancellation of the production task is acquired, acquiring a production state of the production task schedule of the cancelled production task in the production line, wherein the production state comprises to-be-produced and in-production, when the production state is to-be-produced, executing S251, and if the production state is in-production, executing S252. Specifically, for a customer order, there may be a case of order cancellation, after the order is cancelled, it is first determined whether the production task is already being produced, and the production state of the order production task is determined by acquiring the position of the production task in the production task schedule and whether the production data on the production line.
S251: and canceling the canceled production task from the production task schedule. If the production task of the order is still in the production task scheduling, the production task is not put into production, and the production task is directly cancelled from the production task scheduling. The production tasks in the production task schedule comprise two modes of co-production by a first production line and single production by one production line. If a production line is used for independent production, the production task is directly cancelled, the completion date of the production schedule is greatly advanced, and the newly added production task can be independently accepted when the new production task is scheduled. If the production tasks are completed by the first production line together, the starting time and the ending time of each production in the first production line are similar, and the influence on the scheduling of the production tasks of each production line in the first production line is not great after the production tasks are canceled.
S252: determining the number of finished products, wherein the cancelled production tasks are produced together by a first production line or produced independently by one production line, if the cancelled production tasks are produced together by the first production line, acquiring the number of products of orders of next production tasks in the production task schedule of each production line in the first production line, selecting the production line closest to the number of products of orders of next production tasks in the production task schedule closest to the data of the finished products, and dispatching the finished products to the production line. If the production task is produced, acquiring whether the production task is produced by one production line or produced by a plurality of production lines together, if the production task is produced by one production line, acquiring the produced quantity, and adding the product produced by the production task into the next production task. If the cancelled production task is produced by a plurality of production lines together, searching the number of products of the next production task in the plurality of production lines which are produced together, which is closest to the produced number, and adding the produced production task. For example, the production tasks of the orders commonly produced by the current production line 1, the production line 2 and the production line 3 are cancelled, 200 production tasks are already produced at present, the number of products of the next production task of the production line 1 is 100, the number of products of the next production task of the production line 2 is 250, and the number of products of the next production task of the production line 3 is 300, and then the 200 produced production tasks are scheduled to the next production task of the production line 2.
If the product is produced by one production line, the production task is canceled, and the number of finished products is added to the subsequent production tasks of the production line.
S260: the production task data change includes production task emergency, when the production task emergency is acquired, and whether the emergency production task is in the production task scheduling is acquired, if not, S261 is executed, and if yes, S262 is executed. For orders, customer requirements may be urgent, either when new or already in the production task scheduling.
S261: and selecting a production line with the least production tasks commonly produced according to the number of products in the orders of the urgent production tasks, wherein the production line with the earliest completion time of the production tasks currently being produced, and adding the urgent production tasks to the forefront position in the production task schedule of the production line. S262: and advancing the urgent production task to the forefront position in the production task scheduling. When the production task is urgent, if the urgent production task is a newly added production task, the production line with the shortest common production task and the earliest production time of normal production is obtained. For the urgent production task, the conventional means is to insert the urgent task into the production line capable of starting the processing fastest, but in this scheme, if the urgent task is inserted into the production line with more common production tasks, a large difference occurs in the time for completing the common production tasks, so that the production line with the least common production tasks is selected.
S300: the production task data comprise the product types of orders, the production line data comprise the product types correspondingly produced by the production line, and the production pressure of each product type is calculated according to the production task schedule, the production task data and the production line data of the production line.
S310: the average time for the current production task schedule to complete on each production line for each product type is calculated. Specifically, the production task scheduling date of each production line on each type of product is calculated, and then the average time is calculated.
S320: the pressure time is set according to the number of production lines of each product type, and the pressure time is shorter as the number of production lines is larger. The discharge pressure time is set according to the number of production lines.
S330: when the average time is smaller than the pressure time, the closer the average time is to the pressure time, the larger the production pressure, and when the average time is larger than the pressure time, the larger the average time, the larger the production pressure.
There are various product types of production lines in a factory, and the production requirements of different product types are different according to the emphasis of the factory. And calculating the average time for completing the production task scheduling of the production lines of each product type, and setting the pressure time according to the number of the production lines of each type of product, wherein the pressure time is shorter as the number of the production lines is larger. When the average time is less than the pressure time, the closer the average time is to the pressure time, the greater the production pressure. Because the more production lines, the more products are produced simultaneously, and the more products are produced according to the production pressure, the personnel are scheduled according to the production pressure in the scheme, if the same pressure time is set, the pressure time can be more easily reached by the production lines, and the conditions that the personnel with more production lines schedule the production lines with less production lines are caused, so that the reaction affects the production of the products with large product demand. Therefore, the more the number of the production lines is set, the maximum production pressure is achieved, and the priority production of the products with large demand is ensured as much as possible.
S400: according to workshop personnel data, calculating the utilization rate of personnel in each production line, judging the production efficiency of each production personnel according to the utilization rate of the production personnel, and generating personnel mobilization strategies among the production lines according to the production pressure of orders of each product type, the production efficiency of the production personnel and the production pressure of each product type.
S410: the workshop personnel data comprise workshop image data and personnel scheduling data, the on-duty time of production personnel is identified according to the workshop image data, the whole-day on-duty time of the production personnel is determined according to the personnel scheduling data, and the utilization rate of the production personnel is calculated according to the on-duty time and the whole-day on-duty time of the production personnel, wherein the utilization rate=the on-duty time/the whole-day on-duty time. For example, when a certain production person works for 4 hours, the working time is 8 hours throughout the day, and the utilization rate is 50%.
S420: the workshop personnel data further comprise the number of whole-day production pieces of production personnel, the production efficiency of the production personnel is determined according to the number of whole-day production pieces of the production personnel and the utilization rate, the efficiency value is calculated through the utilization rate and the number of whole-day production pieces, and for similar products, the efficiency value = the number of whole-day production pieces/utilization rate, and the higher the efficiency value is, the higher the production efficiency is. When the number of pieces produced throughout the day is the same, the lower the utilization ratio, the higher the production efficiency, i.e., the less time it takes to produce the same number of products. For example, person a produced 100 pieces throughout the day, and had a work time of 4 hours, a work rate of 50% and an efficiency rate of 200. Person B produced 100 pieces throughout the day, with a working time of 6 hours, a utilization of 75% and an efficiency of 133. The production efficiency of the personnel A is higher than that of the personnel B. If the utilization rate is the same, the production efficiency is higher as the number of produced pieces is larger. For example, person C produced 200 pieces throughout the day, with a utilization rate of 50% for person A. The efficiency value for person C was 400.
The step S400 further includes the steps of:
s430: when the pressure level of the production pressure of the product type is large or extremely large, calculating the average utilization rate of the production line of the product type, and acquiring the utilization rate of production personnel on the production line of the product type with small or medium production pressure;
s440: generating a scheduling strategy, scheduling the producers with higher utilization rate than the average utilization rate on other production lines to the production line of the product type, and scheduling the producers with lower utilization rate than the average utilization rate on the production line of the product type to other production lines according to the scheduled number of people.
The embodiment also discloses a factory management system based on multi-source heterogeneous data integration, which comprises a data acquisition module, a production scheduling module, a pressure calculation module, a production mobilization module and a time setting module;
the data acquisition module is used for acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data;
the production scheduling module is used for monitoring production management data changes, and when the production task data are obtained to change, the production task scheduling of each production line is carried out according to the production line data;
The pressure calculation module is used for calculating the production pressure of each product type according to the production task schedule, the production task data and the production line data of the production line, wherein the production task data comprise the product types of the order, and the production line data comprise the product types correspondingly produced by the production line;
the production mobilization module calculates the utilization rate of each production line personnel according to workshop personnel data, judges the production efficiency of each production personnel according to the utilization rate of each production personnel, calculates the production pressure on each product type production line according to the production line data, and generates a production personnel mobilization strategy between the production lines according to the production pressure and the production efficiency of the production personnel;
the production scheduling module comprises a newly added task module, a cancelled task module, an urgent task module, a completion calculation module, a production line marking module and a scheduling distribution module;
the newly-added task module is used for obtaining the number of production lines corresponding to the product types and the existing task schedule of each production line according to the product types of orders in the newly-added task when the newly-added production task is obtained;
the completion calculation module is used for calculating the production schedule completion date of each production line according to the number of ordered products and the production speed of the production line in the existing production task scheduling of the production line, wherein the production line data further comprise the production speed of each production line;
The production line marking module is used for calculating the time difference of the production schedule completion dates of all production lines, judging that the time difference between two or more production lines is smaller than the preset time difference, if so, marking the production line meeting the conditions as a first production line, marking the other production lines as a second production line, judging whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, and the earlier time exceeds a preset time threshold;
the scheduling distribution module is used for judging whether the earliest production scheduling completion date in the second production line is earlier than the earliest production scheduling completion date in the first production line, and the earlier time exceeds a preset time threshold, if so, adding the production task scheduling of the first production line after decomposing the newly added production task, so that the first production line jointly produces, and if not, adding the newly added production task to the production task scheduling of the production line with the earliest production scheduling completion date in the production line;
the time setting module is used for setting a time threshold according to the number of products ordered in the newly-added production task, wherein the more the number of products is, the larger the time threshold is;
The production task canceling module is used for acquiring the production state of the production task schedule of the canceled production task in the production line when acquiring the production task canceling, wherein the production state comprises to-be-produced and in-production;
the scheduling distribution module is further used for canceling the cancelled production tasks from the production task schedule when the production state is to be produced, determining the number of finished products when the production state is in production, and enabling the cancelled production tasks to be produced together by the first production line or produced independently by one production line, if the cancelled production tasks are produced together by the first production line, acquiring the number of products of orders of the next production task in the production task schedule of each production line in the first production line, selecting a production line closest to the number of products of the orders of the next production task in the production task schedule closest to the data of the finished products, and scheduling the finished products to the production line;
if the product is produced by one production line, the cancelled production task is added, and the number of finished products is added to the subsequent production tasks of the production line;
the urgent task module is used for obtaining whether the urgent production task is in the production task scheduling or not when the production task is obtained;
The scheduling distribution module is further used for selecting a production line with the least production tasks to be commonly produced according to the number of products in the orders of the urgent production tasks when the urgent production tasks are not in scheduling, adding the urgent production tasks to the front position in the production task scheduling of the production line, and advancing the urgent production tasks to the front position in the production task scheduling when the urgent production tasks are in scheduling, wherein the production line with the least production tasks currently being produced has the earliest completion time.
Further, the pressure calculation module comprises an average time calculation module, a pressure time module and a pressure judgment module;
the average time calculation module is used for calculating the average time of the completion of the scheduling of the current production task on each production line of various product types;
the pressure time module is used for setting pressure time according to the number of production lines of each product type, and the pressure time is shorter as the number of the production lines is larger;
the pressure judging module is used for judging the production pressure, when the average time is smaller than the pressure time, the average time is closer to the pressure time, the production pressure is larger, and when the average time is larger than the pressure time, the average time is larger, and the production pressure is larger;
The production scheduling module comprises an utilization rate calculation module, an efficiency calculation module, a utilization rate acquisition module and a scheduling generation module;
the workshop personnel data comprises workshop image data and personnel scheduling data, the workshop personnel data is used for identifying the on-duty time of production personnel according to the workshop image data, determining the whole-day on-duty time of the production personnel according to the personnel scheduling data, and calculating the utilization rate of the production personnel according to the on-duty time and the whole-day on-duty time of the production personnel, wherein the utilization rate=the on-duty time/the whole-day on-duty time;
the workshop personnel data further comprises the total daily production number of the production personnel, the production efficiency of the production personnel is determined according to the total daily production number of the production personnel and the utilization rate, and the efficiency value is calculated through the utilization rate and the total daily production number, wherein the higher the efficiency value is, the higher the production efficiency is;
the system comprises an operation rate acquisition module, a control module and a control module, wherein the pressure level of the production pressure sequentially comprises small, medium, large and large from small to large, and when the pressure level of the production pressure of a product type is large or large, the average operation rate of a production line of the product type is calculated, and the operation rate of production personnel on the production line of the product type with the small or medium production pressure is acquired;
The scheduling generation module is used for generating a scheduling strategy, scheduling the producers with the utilization rate higher than the average utilization rate on other production lines to the production line of the product type, and scheduling the producers with the utilization rate lower than the average utilization rate on the production line of the product type to other production lines according to the number of scheduled persons.
The foregoing is merely exemplary of the present invention, and the specific structures and features well known in the art are not described in any way herein, so that those skilled in the art will be able to ascertain all prior art in the field, and will not be able to ascertain any prior art to which this invention pertains, without the general knowledge of the skilled person in the field, before the application date or the priority date, to practice the present invention, with the ability of these skilled persons to perfect and practice this invention, with the help of the teachings of this application, with some typical known structures or methods not being the obstacle to the practice of this application by those skilled in the art. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (10)
1. The factory management method based on multi-source heterogeneous data integration is characterized by comprising the following steps of: the method comprises the following steps:
s100: the method comprises the steps of acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data;
s200: monitoring production management data changes, and scheduling production tasks of all production lines according to the production line data when the production task data are obtained to generate changes;
s300: the production task data comprise the product types of orders, the production line data comprise the product types correspondingly produced by the production line, and the production pressure of each product type is calculated according to the production task schedule, the production task data and the production line data of the production line;
s400: calculating the utilization rate of each production line personnel according to the workshop personnel data, judging the production efficiency of each production line personnel according to the utilization rate of each production line personnel, calculating the production pressure on each product type production line according to the production line data, and generating a producer mobilization strategy between the production lines according to the production pressure and the production efficiency of the production line personnel;
The step S200 includes the steps of:
s210: the production task data change comprises a new production task, and when the new production task is acquired, the number of production lines corresponding to the product types and the existing task schedule of each production line are acquired according to the product types of orders in the new production task;
s220: the production line data also comprises the production speed of each production line, the production task data also comprises the number of ordered products, and the production schedule completion date of each production line is calculated according to the number of ordered products and the production speed of the production line in the existing production task schedule of the production line;
s230: calculating the time difference of the production schedule completion date of each production line, judging that the time difference between two or more production lines is smaller than the preset time difference, if so, marking the production line meeting the condition as a first production line, marking the other production lines as a second production line, executing S231, and if not, executing S240;
s231: judging whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line and the earlier time exceeds a preset time threshold, if yes, executing S240, and if no, executing S232;
S232: decomposing the newly added production task, and then adding a production task schedule of the first production line to enable the first production line to jointly produce;
s240: adding the newly added production task to the production task schedule of the production line with the earliest completion date of the production schedule in the production lines.
2. The multi-source heterogeneous data integration-based factory management method as claimed in claim 1, wherein: in S231, a time threshold is set according to the number of products ordered in the newly added production task, and the larger the number of products, the larger the time threshold.
3. The multi-source heterogeneous data integration-based factory management method as claimed in claim 1, wherein: in S231, a time threshold is set according to the number of first production lines, where the greater the number of first production lines, the smaller the time threshold.
4. The multi-source heterogeneous data integration-based factory management method as claimed in claim 1, wherein: the step S200 further includes the steps of:
s250: the production task data change comprises production task cancellation, when the cancellation of the production task is acquired, the production state of the production task schedule of the cancelled production task in the production line is acquired, the production state comprises production to be produced and in production, when the production state is the production to be produced, the S251 is executed, and if the production state is the production in process, the S252 is executed;
S251: canceling the canceled production task from the production task schedule;
s252: determining the number of finished products, wherein the cancelled production tasks are produced together by a first production line or produced independently by one production line, if the cancelled production tasks are produced together by the first production line, acquiring the number of products of orders of next production tasks in the production task schedule of each production line in the first production line, selecting a production line closest to the number of products of orders of next production tasks in the production task schedule closest to the data of the finished products, and dispatching the finished products to the production line;
if the product is produced by one production line, the production task is canceled, and the number of finished products is added to the subsequent production tasks of the production line.
5. The multi-source heterogeneous data integration-based factory management method as claimed in claim 1, wherein: the step S200 further includes the steps of:
s260: the production task data change comprises production task emergency, when the production task emergency is acquired, whether the emergency production task is in production task scheduling is acquired, if not, S261 is executed, and if yes, S262 is executed;
s261: selecting a production line with the least common production tasks according to the number of products in orders of the urgent production tasks, wherein the production line with the earliest completion time of the production tasks currently being produced, and adding the urgent production tasks to the forefront position in the production task schedule of the production line;
S262: and advancing the urgent production task to the forefront position in the production task scheduling.
6. The multi-source heterogeneous data integration-based factory management method as claimed in claim 2, wherein: the step S300 includes the steps of:
s310: calculating the average time of the current production task scheduling completion on each production line of various product types;
s320: setting pressure time according to the number of production lines of each product type, wherein the pressure time is shorter as the number of the production lines is larger;
s330: when the average time is smaller than the pressure time, the closer the average time is to the pressure time, the larger the production pressure, and when the average time is larger than the pressure time, the larger the average time, the larger the production pressure.
7. The multi-source heterogeneous data integration based factory management method as defined in claim 6, wherein: the step S400 includes the steps of:
s410: the workshop personnel data comprise workshop image data and personnel scheduling data, the on-duty time of production personnel is identified according to the workshop image data, the whole-day on-duty time of the production personnel is determined according to the personnel scheduling data, and the utilization rate of the production personnel is calculated according to the on-duty time and the whole-day on-duty time of the production personnel, wherein the utilization rate=the on-duty time/the whole-day on-duty time;
S420: the workshop personnel data further comprise the total daily production number of the production personnel, the production efficiency of the production personnel is determined according to the total daily production number of the production personnel and the utilization rate, and the efficiency value is calculated through the utilization rate and the total daily production number, wherein the efficiency value=total daily production number/utilization rate, and the higher the efficiency value is, the higher the production efficiency is.
8. The multi-source heterogeneous data integration based factory management method as claimed in claim 7, wherein: in the step S330, the pressure level of the production pressure sequentially includes small, medium, large and maximum from small to large;
the step S400 further includes the steps of:
s430: when the pressure level of the production pressure of the product type is large or extremely large, calculating the average utilization rate of the production line of the product type, and acquiring the utilization rate of production personnel on the production line of the product type with small or medium production pressure;
s440: generating a scheduling strategy, scheduling the producers with higher utilization rate than the average utilization rate on other production lines to the production line of the product type, and scheduling the producers with lower utilization rate than the average utilization rate on the production line of the product type to other production lines according to the scheduled number of people.
9. The factory management system based on multi-source heterogeneous data integration is characterized in that: the system comprises a data acquisition module, a production scheduling module, a pressure calculation module, a production mobilization module and a time setting module;
the data acquisition module is used for acquiring multi-source heterogeneous data in a factory in real time, preprocessing the multi-source heterogeneous data, and classifying the preprocessed multi-source heterogeneous data to obtain production management data, wherein the production management data comprises production task data, production line data and workshop personnel data;
the production scheduling module is used for monitoring production management data changes, and when the production task data are obtained to change, the production task scheduling of each production line is carried out according to the production line data;
the pressure calculation module is used for calculating the production pressure of each product type according to the production task schedule, the production task data and the production line data of the production line, wherein the production task data comprise the product types of the order, and the production line data comprise the product types correspondingly produced by the production line;
the production mobilization module calculates the utilization rate of each production line personnel according to workshop personnel data, judges the production efficiency of each production personnel according to the utilization rate of each production personnel, calculates the production pressure on each product type production line according to the production line data, and generates a production personnel mobilization strategy between the production lines according to the production pressure and the production efficiency of the production personnel;
The production scheduling module comprises a newly added task module, a cancelled task module, an urgent task module, a completion calculation module, a production line marking module and a scheduling distribution module;
the newly-added task module is used for obtaining the number of production lines corresponding to the product types and the existing task schedule of each production line according to the product types of orders in the newly-added task when the newly-added production task is obtained;
the completion calculation module is used for calculating the production schedule completion date of each production line according to the number of ordered products and the production speed of the production line in the existing production task scheduling of the production line, wherein the production line data further comprise the production speed of each production line;
the production line marking module is used for calculating the time difference of the production schedule completion dates of all production lines, judging that the time difference between two or more production lines is smaller than the preset time difference, if so, marking the production line meeting the conditions as a first production line, marking the other production lines as a second production line, judging whether the earliest production schedule completion date in the second production line is earlier than the earliest production schedule completion date in the first production line, and the earlier time exceeds a preset time threshold;
The scheduling distribution module is used for judging whether the earliest production scheduling completion date in the second production line is earlier than the earliest production scheduling completion date in the first production line, and the earlier time exceeds a preset time threshold, if so, adding the production task scheduling of the first production line after decomposing the newly added production task, so that the first production line jointly produces, and if not, adding the newly added production task to the production task scheduling of the production line with the earliest production scheduling completion date in the production line;
the time setting module is used for setting a time threshold according to the number of products ordered in the newly-added production task, wherein the more the number of products is, the larger the time threshold is;
the production task canceling module is used for acquiring the production state of the production task schedule of the canceled production task in the production line when acquiring the production task canceling, wherein the production state comprises to-be-produced and in-production;
the scheduling distribution module is further used for canceling the cancelled production tasks from the production task schedule when the production state is to be produced, determining the number of finished products when the production state is in production, and enabling the cancelled production tasks to be produced together by the first production line or produced independently by one production line, if the cancelled production tasks are produced together by the first production line, acquiring the number of products of orders of the next production task in the production task schedule of each production line in the first production line, selecting a production line closest to the number of products of the orders of the next production task in the production task schedule closest to the data of the finished products, and scheduling the finished products to the production line;
If the product is produced by one production line, the cancelled production task is added, and the number of finished products is added to the subsequent production tasks of the production line;
the urgent task module is used for obtaining whether the urgent production task is in the production task scheduling or not when the production task is obtained;
the scheduling distribution module is further used for selecting a production line with the least production tasks to be commonly produced according to the number of products in the orders of the urgent production tasks when the urgent production tasks are not in scheduling, adding the urgent production tasks to the front position in the production task scheduling of the production line, and advancing the urgent production tasks to the front position in the production task scheduling when the urgent production tasks are in scheduling, wherein the production line with the least production tasks currently being produced has the earliest completion time.
10. The multi-source heterogeneous data integration based plant management system of claim 9, wherein: the pressure calculation module comprises an average time calculation module, a pressure time module and a pressure judgment module;
the average time calculation module is used for calculating the average time of the completion of the scheduling of the current production task on each production line of various product types;
The pressure time module is used for setting pressure time according to the number of production lines of each product type, and the pressure time is shorter as the number of the production lines is larger;
the pressure judging module is used for judging the production pressure, when the average time is smaller than the pressure time, the average time is closer to the pressure time, the production pressure is larger, and when the average time is larger than the pressure time, the average time is larger, and the production pressure is larger;
the production scheduling module comprises an utilization rate calculation module, an efficiency calculation module, a utilization rate acquisition module and a scheduling generation module;
the workshop personnel data comprises workshop image data and personnel scheduling data, the workshop personnel data is used for identifying the on-duty time of production personnel according to the workshop image data, determining the whole-day on-duty time of the production personnel according to the personnel scheduling data, and calculating the utilization rate of the production personnel according to the on-duty time and the whole-day on-duty time of the production personnel, wherein the utilization rate=the on-duty time/the whole-day on-duty time;
the workshop personnel data further comprises the total daily production number of the production personnel, the production efficiency of the production personnel is determined according to the total daily production number of the production personnel and the utilization rate, and the efficiency value is calculated through the utilization rate and the total daily production number, wherein the higher the efficiency value is, the higher the production efficiency is;
The system comprises an operation rate acquisition module, a control module and a control module, wherein the pressure level of the production pressure sequentially comprises small, medium, large and large from small to large, and when the pressure level of the production pressure of a product type is large or large, the average operation rate of a production line of the product type is calculated, and the operation rate of production personnel on the production line of the product type with the small or medium production pressure is acquired;
the scheduling generation module is used for generating a scheduling strategy, scheduling the producers with the utilization rate higher than the average utilization rate on other production lines to the production line of the product type, and scheduling the producers with the utilization rate lower than the average utilization rate on the production line of the product type to other production lines according to the number of scheduled persons.
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