CN116757451A - Production energy data processing system based on intelligent analysis technology - Google Patents
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Abstract
The application discloses a production energy data processing system based on an intelligent analysis technology, which relates to the technical field of production data processing and comprises a data acquisition module, a data processing and classifying module, a task management module, a production speed and energy consumption analysis unit and a production mode selection module; according to the production energy data processing system based on the intelligent analysis technology, the data acquisition module, the data processing and classifying module, the task management module, the production speed and energy consumption analysis unit and the production mode selection module are arranged, so that the prediction of the energy consumption and time of the production product according to the quantity of the production product and the production product is realized, the required energy consumption or time can be selected according to different production requirements, and the minimum energy consumption of production or the fastest production speed is realized; and the user can conveniently adjust one of energy consumption and time according to actual demands, and check the numerical value of the other item to select a production scheme which meets the demands more.
Description
Technical Field
The application relates to the technical field of production data processing, in particular to a production energy data processing system based on an intelligent analysis technology.
Background
The data quantity covered by modern production data management is very large in scale, and the tools in the modern general sense are difficult to realize high-efficiency, convenience and scientifically processing or integrating related data resources in the effective time limit and space range. In the production process, the production data and the energy data used in the process are recorded and analyzed, so that the grasping of the production process is enhanced, the productivity is improved, and the production consumption is reduced.
The Chinese patent with the publication number of CN111861180B is a management system for real-time early warning of digital energy production and manufacturing, and is used for solving the problems that the existing SMT production line cannot perform analysis early warning according to the power consumption and the number of finished products in the manufacturing process and reasonably select personnel to operate, and improving the production capacity of the SMT production line, and comprises a data acquisition module, a server, a real-time early warning module and an early warning management module; according to the application, the early warning value is obtained by analyzing the SMT production line and the power consumption, the number of finished products and the number of unqualified products, the early warning is carried out according to the early warning value, and meanwhile, the early warning is distributed to operators corresponding to auxiliary early warning equipment through corresponding management staff through an early warning management module, so that the yield of the corresponding early warning equipment of the SMT production line is improved, and then the yield of the whole SMT production line is improved; and (3) selecting enterprise staff to operate the equipment through the equipment matching value, so that the yield of the SMT production line is improved.
The prior art also has the problems that the quantity of the opened production lines, the running power of each production line, the production completion time and the production energy consumption cannot be calculated according to the target yield of the production task, and a producer cannot conveniently select a more suitable production scheme according to different production task requirements.
Disclosure of Invention
The application aims to provide a production energy data processing system based on an intelligent analysis technology, so as to solve the defects in the prior art.
In order to achieve the above object, the present application provides the following technical solutions: the production energy data processing system based on the intelligent analysis technology comprises a data acquisition module, a data processing and classifying module, a task management module, a production speed and energy consumption analysis unit and a production mode selection module; the data acquisition module is used for acquiring production data of production equipment and product data of production products, the data acquisition module is connected with the production equipment, the acquired production data comprise working voltage, working current, running power, production quantity and the like, the product data comprise product qualification rate, yield and the like, and the product data can be acquired through manual input after product detection; the data processing and classifying module is connected with the data acquisition module and is used for preprocessing the acquired production data and product data and classifying the production data and the product data according to a preset classifying rule; the task management module is used for managing production tasks; the production speed and energy consumption analysis unit is used for analyzing the relation among the production speed, the energy consumption, the yield and the production equipment according to the production data and the product data; the production mode selection module is used for selecting a production mode and controlling production equipment to produce according to the selected production mode.
Further, the classification rules comprise a first classification rule and a second classification rule; the first classification rule classifies production data and product data according to different production devices, namely, the production data and the product data of each production device are classified separately and are used for analyzing the performance and the state of the single production device; the second classification rule classifies production equipment according to different production products, namely, production data and product data of each product are separately classified for separate analysis for each product.
Further, when the data processing and classifying module classifies the acquired data, the first classification rule is used for classifying the acquired data, and then the second classification rule is used for classifying the acquired data.
Further, when the data processing and classifying module classifies the acquired data, the second classification rule is used for classifying the acquired data, and then the first classification rule is used for classifying the acquired data.
Further, the production speed and energy consumption analysis unit comprises a production speed analysis module and an energy consumption analysis module; the production speed analysis module is connected with the data processing and classifying module and is used for establishing a production speed prediction model by using classified data and predicting the production speed according to the produced products and the production power; the energy consumption analysis module is connected with the data processing and classifying module and is used for establishing an energy consumption prediction model by using classified data and predicting energy consumption according to production products and production speed.
Further, the production tasks comprise production products, task amounts and priority conditions; the priority condition comprises an energy consumption factor and a production speed factor; and inputting a production product and a task amount to the task management module, and inputting any one of an energy consumption factor and a production speed factor, wherein the production speed and energy consumption analysis unit correspondingly adjusts the other one of the energy consumption factor and the production speed factor.
Further, the production mode selection module is connected with the production speed and energy consumption analysis unit, and a plurality of production modes are arranged in the production mode module and used for controlling production equipment to produce according to the set production modes.
Further, the production mode comprises an economy mode, a speed mode and a custom mode; when the economic mode is selected, the task management module automatically adjusts the energy consumption of the energy consumption factor to the minimum value predicted by the energy consumption prediction model, obtains the production speed corresponding to the energy consumption prediction model when the energy consumption is the minimum value, and obtains the production power corresponding to the production speed prediction model when the production speed is recorded as the first production power, and the production mode selection module controls the production equipment to produce at the first production power; when the speed mode is selected, the task management module automatically adjusts the production speed of the production speed factor to the maximum value predicted by the production speed pre-storing model, and the production power corresponding to the production speed prediction model when the maximum value of the production speed is obtained is recorded as second production power, and the production mode selection module controls the production equipment to produce with the second production power; when the self-defining mode is selected, the energy consumption of the energy consumption factor or the production speed of the production speed factor is regulated through the task management module and respectively recorded as target energy consumption and target production speed, and according to the energy consumption prediction model and the production speed prediction model, the corresponding production power when the target energy consumption or the target production speed is obtained is recorded as third production power, and the production mode selection module controls the production equipment to produce with the third production power.
Compared with the prior art, the production energy data processing system based on the intelligent analysis technology provided by the application has the advantages that the data acquisition module, the data processing classification module, the task management module, the production speed and energy consumption analysis unit and the production mode selection module are arranged, so that the prediction of the energy consumption and time of the production product according to the quantity of the production product and the production product is realized, the required energy consumption or time can be selected according to different production needs, and the minimum energy consumption of the production or the fastest production speed is realized; and any one of the expected energy consumption and time is regulated, the other one can be correspondingly changed, so that a user can conveniently regulate one of the energy consumption and the time according to the actual demand, and the numerical value of the other one is checked to select a production scheme which meets the demand more.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic diagram of a system framework according to an embodiment of the present application.
Detailed Description
In order to make the technical scheme of the present application better understood by those skilled in the art, the present application will be further described in detail with reference to the accompanying drawings.
Example embodiments will be described more fully hereinafter with reference to the accompanying drawings, but may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise. Furthermore, the terms "mounted," "connected," "coupled," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Embodiments of the disclosure and features of embodiments may be combined with each other without conflict.
As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Embodiments described herein may be described with reference to plan and/or cross-sectional views with the aid of idealized schematic diagrams of the present disclosure. Accordingly, the example illustrations may be modified in accordance with manufacturing techniques and/or tolerances. Thus, the embodiments are not limited to the embodiments shown in the drawings, but include modifications of the configuration formed based on the manufacturing process. Thus, the regions illustrated in the figures have schematic properties and the shapes of the regions illustrated in the figures illustrate the particular shapes of the regions of the elements, but are not intended to be limiting.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1, a production energy data processing system based on an intelligent analysis technology comprises a data acquisition module, a data processing classification module, a task management module, a production speed and energy consumption analysis unit and a production mode selection module;
the data acquisition module is used for acquiring production data of production equipment and product data of production products; the data acquisition module is connected with the production equipment, acquires production data comprising working voltage, working current, running power, production quantity and the like, and product data comprising product qualification rate, yield and the like, and can be acquired through manual input after product detection.
The data processing and classifying module is connected with the data acquisition module and is used for preprocessing the acquired production data and product data and classifying the production data and the product data according to a preset classifying rule; the classification rules comprise a first classification rule and a second classification rule;
the first classification rule classifies production data and product data according to different production equipment; that is, the production data and product data of each production facility are separately categorized for analysis with respect to the performance and status of the individual production facility;
the second classification rule classifies the production equipment according to different production products, namely, the production data of each product and the product data are separately classified for separate analysis for each product.
When the data processing classification module classifies the acquired data, the data can be classified by using the first classification rule and the second classification rule according to different requirements, specifically:
classifying the acquired data by using a first classification rule, and classifying the acquired data by using a second classification rule; the method is suitable for analyzing the conditions of different products produced by each production device.
Or the acquired data is classified by using the second classification rule, and then the acquired data is classified by using the first classification rule, so that the method is suitable for analyzing the working condition of each production device when the same product is produced.
The task management module is used for managing production tasks; the production tasks comprise production products, task quantity and priority conditions; the priority condition comprises energy consumption factors and production speed factors; and inputting the production product and the task quantity into the task management module, inputting any one of the energy consumption factor and the production speed factor, and correspondingly adjusting the other one of the energy consumption factor and the production speed factor by the production speed and energy consumption analysis unit, wherein the energy consumption factor and the production speed factor are mutually influenced, and one change is correspondingly changed.
The production speed and energy consumption analysis unit is used for analyzing the relation among the production speed, the energy consumption, the yield and the production equipment according to the production data and the product data; the production speed and energy consumption analysis unit comprises a production speed analysis module and an energy consumption analysis module;
the production rate analysis module is connected with the data processing and classifying module and is used for establishing a production rate prediction model by using classified data and predicting the production rate according to the produced products and the production power;
the energy consumption analysis module is connected with the data processing and classifying module and is used for establishing an energy consumption prediction model by using the classified data and predicting energy consumption according to the production products and the production speed.
The production speed prediction model and the energy consumption prediction model both adopt long-term and short-term memory networks and particle swarm algorithms,
wherein the algorithm is iterated specifically using equations (1) and (2) in the particle swarm algorithm:
updating the speed:
（1），
updating the position:
（2），
wherein, among them,and->Representing the velocity of particle i in the t-th and t+1th iterations, respectively; omega represents inertia weight, the larger the value is, the less easy to change the route, the strong ability to search the unknown field, namely global optimization, and the smaller the value is, the stronger the ability to locally optimize; />Representing the own speed and inertia effect of the t time; c1 and c2 represent individual learning factors and social learning factors; r1, r2 are between [0,1 ]]Is a uniform random number of (a); />Representing the position of the ith particle at the t-th iteration; />The optimal solution of the ith particle after t iterations; />For the population optimal solution after t iterations,is a vector pointing from the current point to the best point of itself, demonstrating the learning ability of the particle itself,is a vector pointing from the current point to the best point of the population, demonstrating the population communication capability between particles.
The production mode selection module is used for selecting a production mode and controlling production equipment to produce according to the selected production mode.
The production mode selection module is connected with the production speed and energy consumption analysis unit, and a plurality of production modes are arranged in the production mode module and used for controlling production equipment to produce according to the set production modes.
The production mode comprises an economy mode, a speed mode and a custom mode;
when an economic mode is selected, the task management module automatically adjusts the energy consumption of the energy consumption factor to the minimum value predicted by the energy consumption prediction model, obtains the production speed corresponding to the energy consumption prediction model when the energy consumption is the minimum value, and obtains the production power corresponding to the production speed prediction model when the production speed is recorded as first production power, and the production mode selection module controls the production equipment to produce at the first production power;
when a speed mode is selected, the task management module automatically adjusts the production speed of the production speed factor to the maximum value predicted by the production speed pre-storing model, and the production power corresponding to the production speed prediction model is recorded as second production power when the maximum value of the production speed is obtained, and the production mode selection module controls the production equipment to produce with the second production power;
when the self-defining mode is selected, the energy consumption of the energy consumption factor or the production speed of the production speed factor is regulated through the task management module and respectively recorded as target energy consumption and target production speed, and according to the energy consumption prediction model and the production speed prediction model, the corresponding production power when the target energy consumption or the target production speed is obtained is recorded as third production power, and the production mode selection module controls the production equipment to produce at the third production power.
While certain exemplary embodiments of the present application have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that modifications may be made to the described embodiments in various different ways without departing from the spirit and scope of the application. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive of the scope of the application, which is defined by the appended claims.
Claims (8)
1. Production energy data processing system based on intelligent analysis technology, its characterized in that: the system comprises a data acquisition module, a data processing and classifying module, a task management module, a production speed and energy consumption analysis unit and a production mode selection module;
the data acquisition module is used for acquiring production data of production equipment and product data of production products;
the data processing and classifying module is connected with the data acquisition module and is used for preprocessing the acquired production data and product data and classifying the production data and the product data according to a preset classifying rule;
the task management module is used for managing production tasks;
the production speed and energy consumption analysis unit is used for analyzing the relation among the production speed, the energy consumption, the yield and the production equipment according to the production data and the product data;
the production mode selection module is used for selecting a production mode and controlling production equipment to produce according to the selected production mode.
2. The energy data processing system for production based on intelligent analysis technology according to claim 1, wherein: the classification rules comprise a first classification rule and a second classification rule;
the first classification rule classifies production data and product data according to different production equipment;
the second classification rule classifies production equipment according to different production products.
3. The energy data processing system for production based on intelligent analysis technology according to claim 2, wherein: when the data processing and classifying module classifies the acquired data, the acquired data is classified by using a first classifying rule and then classified by using a second classifying rule.
4. The energy data processing system for production based on intelligent analysis technology according to claim 2, wherein: when the data processing and classifying module classifies the acquired data, the acquired data is classified by using the second classification rule and then classified by using the first classification rule.
5. The energy data processing system for production based on intelligent analysis technology according to claim 1, wherein: the production speed and energy consumption analysis unit comprises a production speed analysis module and an energy consumption analysis module;
the production speed analysis module is connected with the data processing and classifying module and is used for establishing a production speed prediction model by using classified data and predicting the production speed according to the produced products and the production power;
the energy consumption analysis module is connected with the data processing and classifying module and is used for establishing an energy consumption prediction model by using classified data and predicting energy consumption according to production products and production speed.
6. The energy data processing system for production based on intelligent analysis technology according to claim 5, wherein: the production tasks comprise production products, task quantity and priority conditions; the priority condition comprises an energy consumption factor and a production speed factor;
and inputting a production product and a task amount to the task management module, and inputting any one of an energy consumption factor and a production speed factor, wherein the production speed and energy consumption analysis unit correspondingly adjusts the other one of the energy consumption factor and the production speed factor.
7. The energy data processing system for production based on intelligent analysis technology according to claim 6, wherein: the production mode selection module is connected with the production speed and energy consumption analysis unit, and a plurality of production modes are arranged in the production mode module and used for controlling production equipment to produce according to the set production modes.
8. The energy data processing system for production based on intelligent analysis technology according to claim 7, wherein: the production mode comprises an economy mode, a speed mode and a custom mode;
when the economic mode is selected, the task management module automatically adjusts the energy consumption of the energy consumption factor to the minimum value predicted by the energy consumption prediction model, obtains the production speed corresponding to the energy consumption prediction model when the energy consumption is the minimum value, and obtains the production power corresponding to the production speed prediction model when the production speed is recorded as the first production power, and the production mode selection module controls the production equipment to produce at the first production power;
when the speed mode is selected, the task management module automatically adjusts the production speed of the production speed factor to the maximum value predicted by the production speed pre-storing model, and the production power corresponding to the production speed prediction model when the maximum value of the production speed is obtained is recorded as second production power, and the production mode selection module controls the production equipment to produce with the second production power;
when the self-defining mode is selected, the energy consumption of the energy consumption factor or the production speed of the production speed factor is regulated through the task management module and respectively recorded as target energy consumption and target production speed, and according to the energy consumption prediction model and the production speed prediction model, the corresponding production power when the target energy consumption or the target production speed is obtained is recorded as third production power, and the production mode selection module controls the production equipment to produce with the third production power.
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