CN114612065B - Associated equipment combination method, device, equipment and medium for process papermaking - Google Patents
Associated equipment combination method, device, equipment and medium for process papermaking Download PDFInfo
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- CN114612065B CN114612065B CN202210225934.XA CN202210225934A CN114612065B CN 114612065 B CN114612065 B CN 114612065B CN 202210225934 A CN202210225934 A CN 202210225934A CN 114612065 B CN114612065 B CN 114612065B
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to the field of artificial intelligence, and discloses a method and a device for combining related equipment for papermaking, electronic equipment and a storage medium, wherein the method comprises the following steps: collecting papermaking equipment for papermaking, identifying equipment dependency relationship among equipment in the papermaking equipment, and extracting equipment characteristic information of the papermaking equipment; creating an equipment characteristic associated view of the equipment characteristic information; updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic correlation view, and creating an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment; and selecting the final equipment combination of the process papermaking from the initial equipment combination by utilizing a pre-trained equipment combination decision model. The invention can improve the combination efficiency of the related equipment for the process papermaking.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a method and a device for combining related equipment for papermaking, electronic equipment and a computer-readable storage medium.
Background
The production process of the technical papermaking is quite complicated, the production process usually comprises a plurality of different technical processes, each technical process usually consists of a large number of parallel or serial papermaking devices, and the adjustment of the papermaking devices is brought about by the problems of different device models, the scheduling of the technical papermaking and the like, so that how to determine the combination of the papermaking devices for the technical papermaking is very important.
At present, most of papermaking equipment combinations for process papermaking are determined by depending on equipment combinations which have been successfully papermaking historically, but in the actual process papermaking, in the face of different complex process papermaking environments, information management and control and equipment abnormity positioning in the process papermaking can be difficult to grasp, so that all equipment for producing the process papermaking can not be well integrated, and the equipment combinations for the process papermaking can not be analyzed efficiently.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a device for combining associated equipment for papermaking, electronic equipment and a computer readable storage medium, which can improve the efficiency of combining associated equipment for papermaking.
In a first aspect, the present invention provides a method of combining associated equipment for the manufacture of paper, comprising:
collecting papermaking equipment for papermaking, identifying equipment dependency relationship among equipment in the papermaking equipment, and extracting equipment characteristic information of the papermaking equipment;
creating an equipment characteristic associated view of the equipment characteristic information;
updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic correlation view, and creating an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment;
and selecting a final equipment combination of the process papermaking from the initial equipment combinations by utilizing a pre-trained equipment combination decision model.
In one possible implementation manner of the first aspect, the identifying device dependencies between devices in the papermaking device includes:
acquiring the equipment type of each piece of paper making equipment, and determining the equipment function of each piece of paper making equipment according to the equipment type;
and identifying the equipment dependency relationship among the equipment in the papermaking equipment according to the equipment function.
In a possible implementation manner of the first aspect, the identifying, according to the device function, a device dependency relationship between devices in the papermaking device includes:
acquiring a function dependence relationship among the devices in the papermaking device according to the device function;
and determining the equipment dependency relationship among the equipment in the papermaking equipment according to the function dependency relationship.
In one possible implementation manner of the first aspect, the extracting device characteristic information of the papermaking device includes:
acquiring the equipment identification of the papermaking equipment, and identifying the papermaking sequence position of the papermaking equipment;
and extracting the operation parameters of the papermaking equipment in the process of papermaking according to the position of the papermaking sequence, and summarizing the equipment identifier and the operation parameters to obtain the equipment characteristic information.
In a possible implementation manner of the first aspect, the creating a device feature associated view of the device feature information includes:
clustering each piece of feature information in the equipment feature information to obtain clustered feature information;
analyzing the information semantics of each piece of feature information in the clustering feature information, and identifying the related feature information relationship in the clustering feature information according to the information semantics;
and creating a view node of the clustering characteristic information according to the related characteristic information relationship so as to generate an equipment characteristic associated view of the equipment characteristic information.
In a possible implementation manner of the first aspect, the creating a device feature associated view of the device feature information includes:
clustering each piece of feature information in the equipment feature information to obtain clustered feature information;
analyzing the information semantics of each piece of feature information in the clustering feature information, and identifying the related feature information relationship in the clustering feature information according to the information semantics;
and creating a view node of the clustering characteristic information according to the related characteristic information relationship so as to generate an equipment characteristic associated view of the equipment characteristic information.
In a possible implementation manner of the first aspect, the selecting, from the initial equipment combinations, a final equipment combination for the process paper making by using a pre-trained equipment combination decision model includes:
calculating the papermaking reject ratio of each equipment combination in the initial equipment combination by utilizing the loss layer in the pre-trained equipment combination decision model;
calculating the papermaking confidence of each equipment combination in the initial equipment combination by utilizing a decision layer in the pre-trained equipment combination decision model;
and according to the papermaking reject ratio and the papermaking confidence coefficient, selecting the final equipment combination of the process papermaking from the initial equipment combination by utilizing a full connection layer in the pre-trained equipment combination decision model.
In a second aspect, the present invention provides an apparatus for combining associated equipment for the manufacture of paper by a process, said apparatus comprising:
the characteristic information extraction module is used for collecting papermaking equipment for papermaking, identifying the equipment dependency relationship among the papermaking equipment and extracting the equipment characteristic information of the papermaking equipment;
the associated view creating module is used for creating the equipment characteristic associated view of the equipment characteristic information;
an initial equipment combination creating module, configured to update the equipment dependency relationship of the papermaking equipment according to the equipment feature association view, and create an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment;
and the final equipment combination determining module is used for selecting the final equipment combination for the process papermaking from the initial equipment combination by utilizing a pre-trained equipment combination decision model.
In a third aspect, the present invention provides an electronic device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the associated method of apparatus assembly for the manufacture of paper as described in any one of the above first aspects.
In a fourth aspect, the present invention provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the associated method for the combination of apparatuses for the manufacture of paper according to any one of the above first aspects.
Compared with the prior art, the technical principle and the beneficial effects of the scheme are as follows:
the method comprises the steps of firstly identifying the equipment dependency relationship among the equipment in the papermaking equipment by collecting the papermaking equipment for the process papermaking, extracting the equipment characteristic information of the papermaking equipment, determining the upstream and downstream relationship of the papermaking equipment in the process papermaking, so as to ensure the equipment combination decision premise in the process papermaking, creating the equipment characteristic association view of the equipment characteristic information, and analyzing the correlation characteristic among the characteristic information in the equipment characteristic information (so as to ensure the update premise of the equipment dependency relationship of the subsequent papermaking equipment and improve the equipment combination efficiency of the subsequent process papermaking, furthermore, updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic association view to re-determine the equipment relationship of the papermaking equipment in the process papermaking, therefore, the optimal combination of the papermaking equipment in the subsequent process and papermaking process can be determined, the initial equipment combination for the process and papermaking is created according to the updated equipment dependency relationship and the papermaking equipment, and the initial path combination of the equipment combination in the process and papermaking process can be obtained; furthermore, the final equipment combination of the process papermaking is selected from the initial equipment combination by utilizing the pre-trained equipment combination decision model, so that the final equipment combination of the process papermaking can be intelligently analyzed, and the equipment combination efficiency of the process papermaking is further ensured. Therefore, the method, the device, the electronic equipment and the storage medium for combining the related equipment for the process papermaking can improve the efficiency of combining the related equipment for the process papermaking.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic flow chart of an associated method of assembling equipment for papermaking according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating one step of a method of combining equipment associated with the papermaking process provided in FIG. 1 according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating another step of the associated method of assembling equipment for the manufacture of paper according to FIG. 1 in accordance with an embodiment of the present invention;
FIG. 4 is a schematic block diagram of an associated equipment assembly for papermaking according to an embodiment of the present invention;
fig. 5 is a schematic internal structural diagram of an electronic device for implementing a method for combining associated devices for manufacturing paper according to an embodiment of the present invention.
Detailed Description
It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are given by way of illustration only.
The embodiment of the invention provides a method for combining related equipment for papermaking, and an execution main body of the method for combining related equipment for papermaking comprises but is not limited to at least one of electronic equipment, such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the invention. In other words, the associated equipment combination method for manufacturing paper by the process can be executed by software or hardware installed in terminal equipment or server equipment, and the software can be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
Fig. 1 is a schematic flow chart of an associated equipment combination method for papermaking according to an embodiment of the present invention. The method for combining the related equipment for papermaking in the process depicted in the figure 1 comprises the following steps:
s1, collecting papermaking equipment for papermaking, identifying the equipment dependency relationship among the papermaking equipment, and extracting the equipment characteristic information of the papermaking equipment.
In the embodiment of the invention, the technical papermaking refers to a process for realizing paper generation through a technical process, and the papermaking equipment refers to technical equipment involved in the technical papermaking process, such as stock preparation equipment, pulping equipment, a paper machine and the like. Optionally, the papermaking equipment is obtained by querying a set of equipment used in a historical papermaking process
Furthermore, the embodiment of the invention identifies the device dependency relationship among the papermaking devices to determine the upstream and downstream relationship of the papermaking devices in the process of papermaking, so that the premise of device combination decision in the process of papermaking can be ensured. The equipment dependency relationship refers to an upstream-downstream relationship between the papermaking equipment in the process of papermaking, and the equipment dependency relationship between the stock preparation equipment and the pulping equipment is that the stock preparation equipment is located at an upstream position and the pulping equipment is located at a downstream position.
As an embodiment of the present invention, the identifying device dependencies between devices in the papermaking device includes: the method comprises the steps of obtaining the equipment type of each piece of paper making equipment, determining the equipment function of each piece of paper making equipment according to the equipment type, and identifying the equipment dependency relationship among the pieces of paper making equipment according to the equipment function.
The equipment type refers to an equipment type corresponding to each piece of paper making equipment, and the equipment function refers to the capability of starting each piece of paper making equipment.
Further, in an optional embodiment of the present invention, the device type and the device function are obtained by querying a device tag set when the paper making device leaves a factory.
Further, in an optional embodiment of the present invention, the identifying, according to the device function, a device dependency relationship between devices in the papermaking device includes: and acquiring the function dependence relationship among the devices in the papermaking device according to the device functions, and determining the device dependence relationship among the devices in the papermaking device according to the function dependence relationship.
Further, the embodiment of the invention screens out the equipment characteristic parameters of the papermaking equipment by extracting the equipment characteristic information of the papermaking equipment, and improves the associated characteristic detection speed of the subsequent papermaking equipment.
As an embodiment of the present invention, the extracting of the device characteristic information of the paper making device includes: and acquiring the equipment identification of the papermaking equipment, identifying the papermaking sequence position of the papermaking equipment, extracting the operation parameters of the papermaking equipment in the process of papermaking according to the papermaking sequence position, and summarizing the equipment identification and the operation parameters to obtain the equipment characteristic information.
The equipment identifier is an equipment label of the papermaking equipment and is used for representing identity information of the papermaking equipment, the papermaking sequence position is a position of the papermaking equipment when the papermaking equipment carries out process papermaking, and the operation parameter is operation data of the papermaking equipment when the papermaking equipment carries out process papermaking, such as equipment power data, equipment circuit data and the like.
And S2, creating the device feature associated view of the device feature information.
According to the embodiment of the invention, the device characteristic correlation view of the device characteristic information is created to analyze the correlation characteristics (the same semantic characteristic, similar semantic characteristic, recessive correlation characteristic and the like) among the characteristic information in the device characteristic information, so that the premise of updating the device dependency relationship of the subsequent papermaking device can be ensured, and the device combination efficiency of the subsequent papermaking process is improved.
As an embodiment of the present invention, referring to fig. 2, the creating of the device feature association view of the device feature information includes:
s201, clustering each piece of characteristic information in the equipment characteristic information to obtain clustered characteristic information;
s202, analyzing the information semantics of each piece of feature information in the clustering feature information, and identifying the related feature information relationship in the clustering feature information according to the information semantics;
s203, creating a view node of the clustering characteristic information according to the related characteristic information relationship to generate an equipment characteristic associated view of the equipment characteristic information.
The cluster of each piece of feature information in the equipment feature information is used for classifying the information of the same category, so that the processing speed of subsequent data is facilitated, and the information semantics are used for representing the semantics of each piece of feature information in the cluster feature information.
Further, in an optional embodiment of the present invention, the clustering of each feature information in the device feature information is implemented by a clustering algorithm, such as a k-means algorithm, the information semantics of each feature information in the clustered feature information is identified by a deep learning model, and the view node of the clustered feature information may be constructed by an E-R graph.
Further, in an optional embodiment of the present invention, the creating a view node of the cluster feature information according to the related feature information relationship to generate a device feature associated view of the device feature information includes: establishing a first view node of the clustering feature information, mining hidden feature information relation among feature information in the clustering feature information according to the first view node, establishing a second view node of the clustering feature information according to the hidden feature information relation, and generating an equipment feature association view of the equipment feature information according to the first view node and the second view node.
And S3, updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic association view, and creating the initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment.
According to the embodiment of the invention, the equipment dependency relationship of the papermaking equipment is updated according to the equipment characteristic association view so as to re-determine the equipment relationship of the papermaking equipment in the process of papermaking, thereby determining the optimal combination of the papermaking equipment in the subsequent process of papermaking.
As an embodiment of the present invention, the updating the device dependency relationship of the paper making device according to the device feature association view includes: determining the equipment correlation relationship among the equipment in the papermaking equipment according to the first view node in the equipment characteristic correlation view, determining the equipment implicit relationship among the equipment in the papermaking equipment according to the second view node in the equipment characteristic correlation view, and updating the equipment correlation relationship of the papermaking equipment according to the equipment correlation relationship and the equipment implicit relationship.
The equipment correlation relationship is used for describing equipment with obviously relevant type functions in the papermaking equipment, and the equipment implicit relationship is used for describing equipment with implicitly relevant type functions in the papermaking equipment.
Further, in the embodiment of the present invention, the device dependency relationship of the paper making device is updated according to the device correlation relationship and the device implicit relationship, that is, after the device correlation relationship, the device implicit relationship, and the device dependency relationship are merged and aggregated, the device dependency relationship of the paper making device is updated.
Further, according to the updated device dependency relationship and the papermaking device, the embodiment of the present invention creates an initial device combination for papermaking in the process, so as to obtain an initial path combination of the device combination in the process of papermaking.
As an embodiment of the present invention, the creating an initial equipment combination for the process of making paper according to the updated equipment dependency relationship and the paper making equipment includes: and determining an equipment combination path of the papermaking equipment according to the updated equipment dependency relationship, and generating an initial equipment combination for the process papermaking according to the equipment combination path.
And S4, selecting the final equipment combination of the process papermaking from the initial equipment combination by utilizing the pre-trained equipment combination decision model.
In the embodiment of the present invention, the pre-trained device combination decision model is constructed by a decision algorithm, such as an XG-BOOST algorithm, and is used to select an optimal device combination in a process of papermaking from the initial device combination. Therefore, the final equipment combination for the process papermaking is selected from the initial equipment combinations by utilizing the pre-trained equipment combination decision model, so that the final equipment combination for the process papermaking can be intelligently analyzed, and the equipment combination efficiency for the process papermaking is further ensured.
Referring to fig. 3, as an embodiment of the present invention, the selecting the final equipment combination of the paper making process from the initial equipment combinations by using the pre-trained equipment combination decision model includes:
s301, calculating the papermaking reject ratio of each equipment combination in the initial equipment combination by using the loss layer in the pre-trained equipment combination decision model;
s302, calculating the papermaking confidence of each equipment combination in the initial equipment combination by using the decision layer in the pre-trained equipment combination decision model;
s303, according to the papermaking reject ratio and the papermaking confidence coefficient, selecting the final equipment combination of the process papermaking from the initial equipment combination by utilizing the full connection layer in the pre-trained equipment combination decision model.
The papermaking reject ratio and the papermaking confidence coefficient are index dimensions used for representing the process papermaking by using the equipment combination, the paper waste degree caused by the equipment combination for process papermaking can be known through the papermaking reject ratio, and the credibility of the equipment combination for process papermaking can be known through the confidence coefficient.
It can be seen that, in the scheme, firstly, the papermaking equipment for the process papermaking is collected, the equipment dependency relationship among the equipment in the papermaking equipment is identified, the equipment characteristic information of the papermaking equipment is extracted, the upstream and downstream relationship of the papermaking equipment in the process of the process papermaking can be determined, so that the equipment combination decision premise in the process of the process papermaking can be guaranteed, the equipment characteristic associated view of the equipment characteristic information is created, the correlation characteristic between the characteristic information in the equipment characteristic information can be analyzed (so that the update premise of the equipment dependency relationship of the subsequent papermaking equipment can be guaranteed, the equipment combination efficiency of the subsequent process papermaking is improved, further, the equipment dependency relationship of the papermaking equipment is updated according to the equipment characteristic associated view, so as to re-determine the equipment relationship of the papermaking equipment in the process of the process papermaking, therefore, the optimal combination of the papermaking equipment in the subsequent process and papermaking process can be determined, the initial equipment combination for the process and papermaking is created according to the updated equipment dependency relationship and the papermaking equipment, and the initial path combination of the equipment combination in the process and papermaking process can be obtained; furthermore, the final equipment combination for the process papermaking is selected from the initial equipment combinations by utilizing the pre-trained equipment combination decision model, so that the final equipment combination for the process papermaking can be intelligently analyzed, and the equipment combination efficiency for the process papermaking is further ensured. Therefore, the method, the device, the electronic equipment and the storage medium for combining the related equipment for the process papermaking can improve the efficiency of combining the related equipment for the process papermaking.
Fig. 4 is a functional block diagram of the associated equipment assembly for papermaking according to the present invention.
The associated equipment assembly 400 for the process of making paper according to the present invention may be installed in an electronic device. According to the realized functions, the associated equipment combination device for papermaking process can comprise a characteristic information extraction module 401, an associated view creation module 402, an initial equipment combination creation module 403 and a final equipment combination determination model 404. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the embodiment of the present invention, the functions of the modules/units are as follows:
the characteristic information extraction module 401 is configured to collect papermaking equipment for papermaking, identify an equipment dependency relationship between equipment in the papermaking equipment, and extract equipment characteristic information of the papermaking equipment;
the associated view creating module 402 is configured to create a device feature associated view of the device feature information;
the initial equipment combination creating module 403 is configured to update the equipment dependency relationship of the papermaking equipment according to the equipment feature association view, and create an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment;
the final equipment combination determining module 404 is configured to select a final equipment combination for the paper making process from the initial equipment combinations by using a pre-trained equipment combination decision model.
In detail, when the modules in the associated apparatus assembly 400 for papermaking process according to the embodiment of the present invention are used, the same technical means as the above-mentioned associated apparatus assembly method for papermaking process according to fig. 1 to fig. 3 are adopted, and the same technical effects can be produced, which is not described herein again.
Fig. 5 is a schematic structural diagram of an electronic device for implementing the method for combining related devices for manufacturing paper according to the present invention.
The electronic device may include a processor 50, a memory 51, a communication bus 52 and a communication interface 53, and may further include a computer program, such as a combination of devices associated with the process of making paper, stored in the memory 51 and operable on the processor 50.
In some embodiments, the processor 50 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 50 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (for example, associated device combination programs for performing paper manufacturing) stored in the memory 51 and calling data stored in the memory 51.
The memory 51 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, and the like. The memory 51 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 51 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device. Further, the memory 51 may also include both an internal storage unit and an external storage device of the electronic device. The memory 51 may be used not only to store application software installed in the electronic device and various types of data, such as codes of associated device assembly programs for manufacturing paper, etc., but also to temporarily store data that has been output or will be output.
The communication bus 52 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 51 and at least one processor 50 or the like.
The communication interface 53 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Fig. 5 shows only an electronic device with components, and those skilled in the art will appreciate that the structure shown in fig. 5 does not constitute a limitation of the electronic device, and may include fewer or more components than shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to the various components, and preferably, the power supply may be logically connected to the at least one processor 50 through a power management device, so that functions such as charge management, discharge management, and power consumption management are implemented through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It should be understood that the embodiments are illustrative only and that the scope of the invention is not limited to this structure.
The associated equipment combination program stored in the memory 51 of the electronic equipment for the paper making process is a combination of a plurality of computer programs which, when executed in the processor 50, can realize:
collecting papermaking equipment for papermaking, identifying equipment dependency relationship among equipment in the papermaking equipment, and extracting equipment characteristic information of the papermaking equipment;
creating an equipment characteristic association view of the equipment characteristic information;
updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic correlation view, and creating an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment;
and selecting a final equipment combination of the process papermaking from the initial equipment combinations by utilizing a pre-trained equipment combination decision model.
Specifically, the processor 50 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the computer program, which is not described herein again.
Further, the electronic device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a non-volatile computer-readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
collecting papermaking equipment for papermaking, identifying equipment dependency relationship among equipment in the papermaking equipment, and extracting equipment characteristic information of the papermaking equipment;
creating an equipment characteristic associated view of the equipment characteristic information;
updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic correlation view, and creating an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment;
and selecting the final equipment combination of the process papermaking from the initial equipment combination by utilizing a pre-trained equipment combination decision model.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A method of combining associated equipment for the manufacture of paper, said method comprising:
collecting papermaking equipment for papermaking, identifying equipment dependency relationship among equipment in the papermaking equipment, and extracting equipment characteristic information of the papermaking equipment;
creating an equipment characteristic association view of the equipment characteristic information;
updating the equipment dependency relationship of the papermaking equipment according to the equipment characteristic correlation view, and creating an initial equipment combination for the process papermaking according to the updated equipment dependency relationship and the papermaking equipment;
selecting a final equipment combination for the process papermaking from the initial equipment combination by utilizing a pre-trained equipment combination decision model;
the selecting the final equipment combination of the process papermaking from the initial equipment combination by utilizing the pre-trained equipment combination decision model comprises the following steps:
calculating the papermaking reject ratio of each equipment combination in the initial equipment combination by utilizing the loss layer in the pre-trained equipment combination decision model;
calculating the papermaking confidence of each equipment combination in the initial equipment combination by utilizing a decision layer in the pre-trained equipment combination decision model;
and selecting the final equipment combination for the process papermaking from the initial equipment combination by utilizing the fully-connected layer in the pre-trained equipment combination decision model according to the papermaking reject ratio and the papermaking confidence coefficient.
2. The method of claim 1, wherein said identifying device dependencies between devices in the papermaking device comprises:
acquiring the equipment type of each piece of paper making equipment, and determining the equipment function of each piece of paper making equipment according to the equipment type;
and identifying the equipment dependency relationship among the equipment in the papermaking equipment according to the equipment function.
3. The method of claim 2, wherein identifying device dependencies between devices in the papermaking device based on the device functionality comprises:
acquiring a function dependence relationship among the devices in the papermaking device according to the device function;
and determining the equipment dependency relationship among the equipment in the papermaking equipment according to the function dependency relationship.
4. The method of claim 1, wherein said extracting equipment characteristic information of the papermaking equipment comprises:
acquiring the equipment identification of the papermaking equipment, and identifying the papermaking sequence position of the papermaking equipment;
and extracting the operation parameters of the papermaking equipment in the process of papermaking according to the position of the papermaking sequence, and summarizing the equipment identifier and the operation parameters to obtain the equipment characteristic information.
5. The method of claim 1, wherein creating the device characteristic associated view of the device characteristic information comprises:
clustering each piece of feature information in the equipment feature information to obtain clustered feature information;
analyzing the information semantics of each piece of feature information in the clustering feature information, and identifying the related feature information relationship in the clustering feature information according to the information semantics;
and creating a view node of the clustering characteristic information according to the related characteristic information relationship so as to generate an equipment characteristic associated view of the equipment characteristic information.
6. The method according to claim 5, wherein the creating a view node of the cluster feature information according to the related feature information relationship to generate a device feature associated view of the device feature information comprises:
establishing a first view node of the clustering characteristic information, and mining hidden characteristic information relation between characteristic information in the clustering characteristic information according to the first view node;
establishing a second view node of the clustering feature information according to the hidden feature information relationship;
and generating a device feature association view of the device feature information according to the first view node and the second view node.
7. An associated equipment assembly for the production of paper by a process, for carrying out the associated equipment assembly method for the production of paper according to any one of claims 1 to 6, characterized in that it comprises:
the characteristic information extraction module is used for collecting papermaking equipment for papermaking, identifying the equipment dependency relationship among the papermaking equipment and extracting the equipment characteristic information of the papermaking equipment;
the associated view creating module is used for creating an equipment characteristic associated view of the equipment characteristic information;
an initial equipment combination creating module, configured to update the equipment dependency relationship of the paper making equipment according to the equipment feature association view, and create an initial equipment combination for the process paper making according to the updated equipment dependency relationship and the paper making equipment;
and the final equipment combination determining module is used for selecting the final equipment combination for the process papermaking from the initial equipment combination by utilizing a pre-trained equipment combination decision model.
8. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the associated method of apparatus for making paper according to any one of claims 1 to 6.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a method of assembling an associated apparatus for the production of paper according to any one of claims 1 to 6.
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