CN111522306A - Intelligent control's heat-sealing machine production cluster - Google Patents
Intelligent control's heat-sealing machine production cluster Download PDFInfo
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- B29C65/02—Joining or sealing of preformed parts, e.g. welding of plastics materials; Apparatus therefor by heating, with or without pressure
- B29C65/04—Dielectric heating, e.g. high-frequency welding, i.e. radio frequency welding of plastic materials having dielectric properties, e.g. PVC
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- B—PERFORMING OPERATIONS; TRANSPORTING
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Abstract
The invention provides an intelligent control heat sealing machine production cluster. The method comprises the following steps: a production machine group: the production line group is used for forming an integrated processing production machine group through a plurality of processing production lines based on the process arrangement principle according to the production process flow of the heat sealing machine; the control network: the network node is configured at the processing node of the production machine group according to the production process flow of the heat sealing machine to form a machine group processing control network. The invention has the beneficial effects that: the invention is based on the intelligent processing technology, and realizes the batch production operation of the heat-sealing machine by a machine group type heat-sealing machine production mode and a uniform process operation mode. Meanwhile, the operation process is optimized through a big data technology, the operation efficiency is enhanced, and the real-time monitoring, real-time adjustment and real-time centralized batch production operation of the production of the heat sealing machine are realized.
Description
Technical Field
The invention relates to the technical field of intelligent processing, in particular to an intelligent control heat sealing machine production cluster.
Background
At present, most of the technologies of heat sealing machine production are to manufacture a heat sealing machine frame and then to add various devices on the frame to form a complete heat sealing machine, but most of heat sealing machine production enterprises are produced manually, and although a heat sealing machine production enterprise with scale property has a production line, the heat sealing machine production enterprises cannot form a systematic production cluster, and the heat sealing machine production is carried out in a full-automatic operation mode with uniformity, batch property and the same process.
Disclosure of Invention
The invention provides an intelligent control heat sealing machine production cluster, which is used for solving the problem that the existing heat sealing machine production enterprises do not have the production of a unified full-automatic heat sealing machine.
A intelligently controlled heat-sealing machine production fleet, comprising:
a production machine group: the production line group is used for forming an integrated processing production machine group through a plurality of processing production lines based on the process arrangement principle according to the production process flow of the heat sealing machine;
the control network: the network node is configured at the processing node of the production machine group according to the production process flow of the heat sealing machine to form a machine group processing control network.
As an embodiment of the present invention, the production fleet comprises:
a storage bin: the device is used for storing the frame of the heat sealing machine and processing materials;
fixed point material feeding unit: the device is used for transmitting various materials produced by the heat sealing machine to each processing node in a distributed mode through a tree-shaped distribution feeding line;
fixed point processingequipment: the heat sealing machine is used for mounting various processing materials on a heat sealing machine frame through a plurality of processing steps to form a finished product heat sealing machine;
a finished product bin: used for packaging the finished product heat sealing machine and storing.
As an embodiment of the present invention, the control network includes:
the comprehensive control center: the system comprises a network node control device, a heat sealing machine production process flow control device, a processing time parameter calculation device and a processing node control device, wherein the network node control device is used for generating a processing time parameter of each process step of the heat sealing machine production process flow; (ii) a
A network node control device: and the processing unit is used for receiving the implementation instruction and controlling the implementation processing of the corresponding process step implemented at the processing node according to the implementation instruction.
As an embodiment of the present invention, the production fleet further includes a general control center, and the general control center includes:
a display device: the system is used for displaying the abnormal condition of the production cluster and the operation data of each processing node; the operation data comprises material data, processing data and real-time processing data;
the optimization device comprises: the production system is used for implementing specific production operation steps on various processing nodes of the production machine group according to the production process flow of the heat sealing machine and optimizing the production operation steps in real time by connecting a cloud big data center;
a data processing device: the real-time operation database is used for receiving the real-time operation data of the production cluster; optimized data of the cloud big data center are received through a preset data optimization database; wherein the content of the first and second substances,
the real-time operation database and the cloud big data center are composed of a control server and a switch of the production cluster;
the real-time operation database is also used for uploading real-time operation data to the cloud big data center, and the production operation steps are optimized in real time based on the operation time optimization principle.
As an embodiment of the invention, the cluster of heat-sealing machine producers further comprises a distributed monitoring facility comprising:
the monitoring device: the system comprises a monitoring device, a processing device and a monitoring system, wherein the monitoring device is used for acquiring a monitoring image of a production machine group through preset monitoring equipment, judging whether a processing stopping node exists in the processing node or not, and regulating and controlling the preset monitoring equipment to monitor the processing stopping node in real time;
the monitoring device is composed of a plurality of cameras; the sensing device comprises: the system is used for sensing whether the temperature, the definition and the gas in the production cluster exceed preset thresholds through preset sensing equipment, and performing abnormal alarm when the temperature, the definition and the gas exceed the preset thresholds;
the sensing equipment comprises a temperature sensor, a brightness sensor, a gas sensor and an alarm.
A server group: the system comprises a preset server, a heat sealing machine and a control system, wherein the preset server is used for processing data of network nodes and optimizing the production process flow of the heat sealing machine through an optimization mode of single-processing node optimization or multi-node processing optimization; wherein the content of the first and second substances,
the server comprises a real-time data server, a data processing server, an optimization server and a cloud data server.
As an embodiment of the present invention, the real-time data server, the data processing server, the optimization server, and the cloud data server are interconnected; wherein
The real-time data server is used for acquiring real-time monitoring data, classifying and transmitting the real-time monitoring data to the data processing server;
the cloud data server is used for acquiring an optimization algorithm and transmitting the optimization algorithm to the data processing server
The data processing server performs optimization processing on the real-time monitoring data according to the optimization algorithm to obtain optimized data, and transmits the optimized data to the optimization server;
and the optimization server is used for receiving the optimization data and optimizing the processing technology of the processing node through the network node.
As an embodiment of the present invention, the step of acquiring the optimization algorithm by the cloud data server includes:
step 1: acquiring abnormal data and process data of the processing node, thereby obtaining a processing parameter Y (t) of the processing node at the time t:
wherein, k isilThe ith type of machining data indicating the ith machining node; said g isilThe ith type of abnormal data representing the ith processing node; f isl(t) indicates the status of the first data(ii) a The i ═ 1,2,3 … i represents a processing node;
step 2: obtaining the machining feature P of the machining node according to the machining parameter Y (t):
wherein u isijThe ith processing constant of the ith processing node is the L & ltth & gt processing constant, and S represents an abnormal condition equation;
and step 3: obtaining an optimization algorithm d, and judging the replacement degree R (d) of the optimization algorithm d according to the processing characteristic P:
and 4, step 4: acquiring a replacement degree R (d), and judging whether the replacement degree R (d) is greater than 1, wherein when R (d) is greater than or equal to 1, the optimization algorithm d can be used; when the R (d) <1 indicates that the optimization algorithm d cannot be used.
As an embodiment of the present invention, the server group optimizes the production process flow of the heat sealing machine through an optimization mode of single-processing node optimization or multi-node processing optimization, including the following steps:
the method comprises the steps of obtaining process data of network nodes in a grading mode based on a binary tree theory and a traversal algorithm;
respectively optimizing the machining efficiency of each machining node in the production process flow of the heat sealing machine through an optimization mode of optimizing a single machining node; and respectively optimizing the processing paths of any two processing nodes in the production process flow of the heat sealing machine through an optimization mode of multi-processing node optimization.
As an embodiment of the present invention, the server group is optimized by an optimization mode of single processing node optimization, and implemented by the following steps:
acquiring real-time monitoring data of any processing node A;
classifying the processing data of the processing node A, and determining process data, production data and abnormal data of the processing node A after classification;
optimizing the process data through an optimization algorithm, and processing the process data at least through one of reducing, increasing and adjusting to generate new process parameters; optimizing the production data by an optimization algorithm, and optimizing the production data at least by one of production time and production time reduction to generate new production time; wherein the content of the first and second substances,
when the new production time is implemented, the total production time is also adjusted;
and processing the abnormal data through an optimization algorithm, and adjusting the processing steps or the materials of the processing nodes at least through one of a material adjustment mode and a process adjustment mode.
As an embodiment of the present invention, the server group is optimized by an optimization mode of multi-processing node optimization, and implemented by the following steps:
obtaining the processing path and the processing efficiency between any two processing nodes A and B
Classifying the process data between the processing nodes A and B to obtain classified process data;
processing the classified process data through an optimization algorithm, and judging whether a replacement process exists in the process steps between the processing nodes A and B;
when a replacement process is available, judging whether the replacement process can increase the processing efficiency, and when the processing efficiency can be increased, performing process replacement;
when the replacement process is not available, the process is continued according to the original process.
The invention has the beneficial effects that: the invention forms a production cluster by a plurality of groups of production lines, and the production cluster has the functions of intelligent sensing, intelligent analysis, intelligent reasoning, intelligent decision and intelligent control, so as to integrate and deeply merge advanced manufacturing technology, information technology and intelligent technology. The mass production of the heat sealing machine can be realized by a machine group type heat sealing machine control mode and a unified process operation mode. Meanwhile, the working process is optimized through a big data technology, the working efficiency is enhanced, and the real-time monitoring, real-time adjustment and real-time centralized batch production operation of the heat-sealing machine group are realized.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of a production machine group of an intelligent control heat sealing machine according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the components of a intelligently controlled production fleet of heat-sealing machines according to an embodiment of the present invention;
fig. 3 is an optimization mode of an optimization algorithm of a production fleet of a intelligently controlled heat sealing machine according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1, a intelligently controlled heat-sealing machine production fleet of the present invention comprises two parts:
a production machine group: the production line group is used for forming an integrated processing production machine group through a plurality of processing production lines based on the process arrangement principle according to the production process flow of the heat sealing machine; the production machine group is characterized in that each operation step is divided into a plurality of processing nodes according to the operation steps of the production process flow of the multi-heat-sealing machine, each processing node executes a processing operation, a total production machine group is formed by a plurality of production lines for processing the production heat-sealing machine, and each operation step of the production machine group is realized by a processing machine tool or a processing center controlled at a fixed point.
The control network: the network node is configured at the processing node of the production machine group according to the production process flow of the heat sealing machine to form a machine group processing control network. The control of the production cluster is formed by constructing a local distributed production network, the processing nodes are controlled by the network nodes, and the network nodes correspond to the processing nodes one to one and are used for realizing the accurate acquisition of data of each processing node and the accurate control of each processing node.
The invention has the beneficial effects that: the invention forms a production cluster by a plurality of groups of production lines, has the functions of intelligent sensing, intelligent analysis, intelligent reasoning, intelligent decision and intelligent control, and is the integration and deep fusion of advanced manufacturing technology, information technology and intelligent technology. The mass production of the heat sealing machine can be realized by a machine group type heat sealing machine control mode and a unified process operation mode. Meanwhile, the working process is optimized through a big data technology, the working efficiency is enhanced, and the real-time monitoring, real-time adjustment and real-time centralized batch production operation of the heat-sealing machine group are realized.
As an embodiment of the present invention, as shown in fig. 2, the production line group includes: a storage bin: the device is used for storing the frame of the heat sealing machine and processing materials; the feed bin divide into two parts, frame storehouse and processing feed bin, in the frame storehouse, provides the heat-sealing machine frame that has moulded in advance, has contained the processing materials of every processing node in the processing feed bin, for example: a heat sealing mechanism, a screw and a power control part of the heat sealing machine.
In one embodiment: the high frequency heat sealing machine is composed of a cross-linking plate and a VC, which are composed of four aluminum plates. Role of the crosslinking plate: the cross-linked plate is a variable container consisting of two planar aluminum plates and an air medium. The size of the cross-connecting plate is determined according to the power of a signal source, the size of the blocking current, the size of the reactance, the size of the load and the impedance, and the current size can be changed by finely adjusting the distance of the cross-connecting plate. The VC plate has the following functions: the high frequency heat sealing machine has power parts including high frequency program, power source, transformer, rectifier, vacuum tube, oscillating barrel, power regulator and load.
Fixed point material feeding unit: the device is used for transmitting various materials produced by the heat sealing machine to each processing node in a distributed mode through a tree-shaped distribution feeding line; the fixed-point feeding device is used for fixing the processing materials of each processing node through a conveyor belt or other conveying mechanisms and sending the processing materials to the processing nodes at fixed time, so that the processing efficiency cannot be influenced by time and material conveying speed in the processing process, and the quality of the materials is also considered in the actual implementation process.
Fixed point processingequipment: a heat sealing machine for mounting various processing materials on a frame of the heat sealing machine through a plurality of processing steps to form a finished product; the fixed-point processing device is composed of various processing machines and mechanical arms, and full-automatic control of processing operation is realized.
A finished product bin: used for packaging the finished product heat sealing machine and storing. The finished product warehouse is used for storing the heat sealing machine in batches after the heat sealing machine is manufactured. In one embodiment, a packaging mechanism is added into the finished product bin to realize the packaging of the heat-sealing machine.
As an embodiment of the present invention, the control network includes:
the comprehensive control center: the system comprises a network node control device, a heat sealing machine production process flow control device, a processing time parameter calculation device and a processing node control device, wherein the network node control device is used for generating a processing time parameter of each process step of the heat sealing machine production process flow; (ii) a The comprehensive control center carries out flow and standard setting on all production steps and process steps of the heat sealing machine based on a control network, and comprises the step of setting processing parameters of each processing node, including time parameters, material parameters and operation parameters.
A network node control device: and the processing unit is used for receiving the implementation instruction and controlling the implementation processing of the corresponding process step implemented at the processing node according to the implementation instruction. The network node control device is an accurate control for each control node. The processing parameters of each control node are adjusted, including adjusting time parameters, material parameters and operation parameters.
The invention has the beneficial effects that: the integrated control and the network control are global data processing control and local precise data control of the production cluster.
As an embodiment of the present invention, the production fleet further includes a general control center, and the general control center includes:
a display device: the system is used for displaying the abnormal condition of the production cluster and the operation data of each processing node; the operation data comprises material data, processing data and real-time processing data;
the display device is specifically two display devices, one is a display device of the master control device, and the other is a display device of abnormal conditions. And the display device of the master control device is used for displaying various data in the operation process. And the abnormal condition display device is used for displaying various abnormal conditions in the production process.
The optimization device comprises: the production system is used for implementing specific production operation steps on various processing nodes of the production machine group according to the production process flow of the heat sealing machine and optimizing the production operation steps in real time by connecting a cloud big data center; the optimization device is a carrier of the comprehensive control center, and the comprehensive control center realizes the optimization of each processing step of the processing node through the optimization device;
a data processing device: the real-time operation database is used for receiving the real-time operation data of the production cluster; optimized data of the cloud big data center are received through a preset data optimization database; wherein the content of the first and second substances,
the real-time operation database and the cloud big data center are composed of a control server and a switch of the production cluster;
the real-time operation database is also used for uploading real-time operation data to the cloud big data center, and the production operation steps are optimized in real time based on the operation time optimization principle.
The invention has the beneficial effects that: the invention can display the abnormal data and real-time abnormal conditions of each processing node and can also display the processing conditions and the processing parameters. And then, the processing technology of the processing node is optimized through the cloud big data grabbing optimization algorithm and the optimization algorithm continuously, so that the processing efficiency is higher. And finally, realizing real-time display and process optimization through the data processing device auxiliary optimization device and the display device.
As an embodiment of the invention, the cluster of heat-sealing machine producers further comprises a distributed monitoring facility comprising:
the monitoring device: the system comprises a monitoring device, a processing device and a monitoring system, wherein the monitoring device is used for acquiring a monitoring image of a production machine group through preset monitoring equipment, judging whether a processing stopping node exists in the processing node or not, and regulating and controlling the preset monitoring equipment to monitor the processing stopping node in real time;
the monitoring device is composed of a plurality of cameras; the multiple cameras can acquire the monitoring images of the production cluster, so that the production cluster can conveniently acquire real-time monitoring data.
The sensing device comprises: the system is used for sensing whether the temperature, the definition and the gas in the production cluster exceed preset thresholds through preset sensing equipment, and performing abnormal alarm when the temperature, the definition and the gas exceed the preset thresholds;
the sensing equipment comprises a temperature sensor, a brightness sensor, a gas sensor and an alarm. The sensor device mainly monitors the state of the production cluster through various sensors, judges whether the production cluster is abnormal or not, acquires abnormal data and gives an abnormal alarm.
A server group: the system comprises a preset server, a heat sealing machine and a control system, wherein the preset server is used for processing data of network nodes and optimizing the production process flow of the heat sealing machine through an optimization mode of single-processing node optimization or multi-node processing optimization; wherein the content of the first and second substances,
the server comprises a real-time data server, a data processing server, an optimization server and a cloud data server.
The server includes several servers, and the real-time data server, data processing server and optimizing server are all entity servers and are existed in the comprehensive control center of production machine group. The cloud data server exists in a cloud network, so that a cloud real-time capturing optimization algorithm is realized, and data exchange is realized.
As an embodiment of the present invention, the real-time data server, the data processing server, the optimization server, and the cloud data server are interconnected; wherein
The real-time data server is used for acquiring real-time monitoring data, classifying and transmitting the real-time monitoring data to the data processing server;
the cloud data server is used for acquiring an optimization algorithm and transmitting the optimization algorithm to the data processing server
The data processing server performs optimization processing on the real-time monitoring data according to the optimization algorithm to obtain optimized data, and transmits the optimized data to the optimization server;
and the optimization server is used for receiving the optimization data and optimizing the processing technology of the processing node through the network node.
The embodiment mainly comprises the step of optimizing the machining process of the machining node, and the machining efficiency is improved by optimizing the machining process.
As an embodiment of the present invention, the step of acquiring the optimization algorithm by the cloud data server includes:
step 1: acquiring abnormal data and process data of the processing node, thereby obtaining a processing parameter Y (t) of the processing node at the time t:
wherein, k isilThe ith type of machining data indicating the ith machining node; said g isilThe ith type of abnormal data representing the ith processing node; f isl(t) indicates the status of the first kind of data; the i ═ 1,2,3 … i represents a processing node;
step 2: obtaining the machining feature P of the machining node according to the machining parameter Y (t):
wherein u isijThe ith processing constant of the ith processing node is the L & ltth & gt processing constant, and S represents an abnormal condition equation;
and step 3: obtaining an optimization algorithm d, and judging the replacement degree R (d) of the optimization algorithm d according to the processing characteristic P:
and 4, step 4: acquiring a replacement degree R (d), and judging whether the replacement degree R (d) is greater than 1, wherein when R (d) is greater than or equal to 1, the optimization algorithm d can be used; when the R (d) <1 indicates that the optimization algorithm d cannot be used.
The method comprises the steps of firstly calculating processing parameters of an original processing technology, including processing parameters of an abnormal state and a normal state of the original processing technology, further obtaining processing characteristics of the processing technology according to the processing parameters, judging the replacement degree of the captured optimization algorithm for replacing the processing technology algorithm of the invention based on the processing characteristics, and finally judging whether the optimization algorithm can be used or not according to the replacement degree.
As an embodiment of the present invention, the server group optimizes the production process flow of the heat sealing machine through an optimization mode of single-processing node optimization or multi-node processing optimization, including the following steps:
the method comprises the steps of obtaining process data of network nodes in a grading mode based on a binary tree theory and a traversal algorithm;
as shown in figure 3: respectively optimizing the machining efficiency of each machining node in the production process flow of the heat sealing machine through an optimization mode of optimizing a single machining node;
and respectively optimizing the processing paths of any two processing nodes in the production process flow of the heat sealing machine through an optimization mode of multi-processing node optimization.
When the processing steps of the invention are optimized through an optimization algorithm, the method comprises the steps of automatically optimizing a single processing node and automatically optimizing a plurality of processing nodes in a section of processing steps. Therefore, the processing technology for processing the nodes realizes double replacement guarantee.
As an embodiment of the present invention, the server group is optimized by an optimization mode of single processing node optimization, and implemented by the following steps:
acquiring real-time monitoring data of any processing node A;
classifying the processing data of the processing node A, and determining process data, production data and abnormal data of the processing node A after classification;
optimizing the process data through an optimization algorithm, and processing the process data at least through one of reducing, increasing and adjusting to generate new process parameters; optimizing the production data by an optimization algorithm, and optimizing the production data at least by one of production time and production time reduction to generate new production time; wherein the content of the first and second substances,
when the new production time is implemented, the total production time is also adjusted;
and processing the abnormal data through an optimization algorithm, and adjusting the processing steps or the materials of the processing nodes at least through one of a material adjustment mode and a process adjustment mode.
When a single processing node is optimized, the three aspects of the process step, the production data and the abnormal condition are respectively optimized, so that the efficiency is increased, the material is saved, and the time is saved.
As an embodiment of the present invention, the server group is optimized by an optimization mode of multi-processing node optimization, and implemented by the following steps:
obtaining the processing path and the processing efficiency between any two processing nodes A and B
Classifying the process data between the processing nodes A and B to obtain classified process data;
processing the classified process data through an optimization algorithm, and judging whether a replacement process exists in the process steps between the processing nodes A and B;
when a replacement process is available, judging whether the replacement process can increase the processing efficiency, and when the processing efficiency can be increased, performing process replacement;
when the replacement process is not available, the process is continued according to the original process.
According to the optimization method, optimization of the processing technology, the processing efficiency and the processing time within a period of time is realized through an optimization algorithm according to the processing path and the processing efficiency of a processing node within a period of time when a period of technological steps is optimized.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A intelligently controlled heat-sealing machine production fleet, comprising:
a production machine group: the production line group is used for forming an integrated processing production machine group through a plurality of processing production lines based on the process arrangement principle according to the production process flow of the heat sealing machine;
the control network: the network node is configured at the processing node of the production machine group according to the production process flow of the heat sealing machine to form a machine group processing control network.
2. A intelligently controlled fleet of heat-sealing machine producers according to claim 1, wherein said fleet comprises:
a storage bin: the device is used for storing the frame of the heat sealing machine and processing materials;
fixed point material feeding unit: the device is used for transmitting various materials produced by the heat sealing machine to each processing node in a distributed mode through a tree-shaped distribution feeding line;
fixed point processingequipment: the heat sealing machine is used for mounting various processing materials on a heat sealing machine frame through a plurality of processing steps to form a finished product heat sealing machine;
a finished product bin: used for packaging the finished product heat sealing machine and storing.
3. The intelligently controlled heat sealing machine production fleet according to claim 1, wherein said control network comprises:
the network control center: the system comprises a network node control device, a heat sealing machine production process flow control device, a processing time parameter calculation device and a processing node control device, wherein the network node control device is used for generating a processing time parameter of each process step of the heat sealing machine production process flow;
a network node control device: and the processing unit is used for receiving the implementation instruction and controlling the implementation processing of the corresponding process step implemented at the processing node according to the implementation instruction.
4. A intelligently controlled heat sealing machine production fleet according to claim 1, further comprising a turnkey center, said turnkey center comprising:
a display device: the system is used for displaying the abnormal condition of the production cluster and the operation data of each processing node; wherein the content of the first and second substances,
the operation data comprises material data, processing data and real-time processing data;
the optimization device comprises: the production system is used for implementing specific production operation steps on various processing nodes of the production machine group according to the production process flow of the heat sealing machine and optimizing the production operation steps in real time by connecting a cloud big data center;
a data processing device: the real-time operation database is used for receiving the real-time operation data of the production cluster; optimized data of the cloud big data center are received through a preset data optimization database; wherein the content of the first and second substances,
the real-time operation database and the cloud big data center are composed of a control server and a switch of the production cluster;
the real-time operation database is also used for uploading real-time operation data to the cloud big data center, and the production operation steps are optimized in real time based on the operation time optimization principle.
5. The intelligently controlled fleet of heat-sealing machine generators, according to claim 1, further comprising a distributed monitoring facility, said distributed monitoring facility comprising:
the monitoring device: the system comprises a monitoring device, a processing device and a monitoring system, wherein the monitoring device is used for acquiring a monitoring image of a production machine group through preset monitoring equipment, judging whether a processing stopping node exists in the processing node or not, and regulating and controlling the preset monitoring equipment to monitor the processing stopping node in real time;
the monitoring device is composed of a plurality of cameras;
the sensing device comprises: the system is used for sensing whether the temperature, the definition and the gas in the production cluster exceed preset thresholds through preset sensing equipment, and performing abnormal alarm when the temperature, the definition and the gas exceed the preset thresholds;
the sensing equipment comprises a temperature sensor, a brightness sensor, a gas sensor and an alarm;
a server group: the system comprises a preset server, a heat sealing machine and a control system, wherein the preset server is used for processing data of network nodes and optimizing the production process flow of the heat sealing machine through two optimization modes of single-processing-node optimization or multi-node processing optimization; wherein the content of the first and second substances,
the server comprises a real-time data server, a data processing server, an optimization server and a cloud data server.
6. The intelligently controlled heat sealing machine production fleet according to claim 5, wherein said real-time data server, data processing server, optimization server and cloud data server are data interconnected; wherein
The real-time data server is used for acquiring real-time monitoring data, classifying and transmitting the real-time monitoring data to the data processing server;
the cloud data server is used for acquiring an optimization algorithm and transmitting the optimization algorithm to the data processing server; wherein the content of the first and second substances,
the number of the optimization algorithms is at least one;
the data processing server performs optimization processing on the real-time monitoring data according to the optimization algorithm to obtain optimized data, and transmits the optimized data to the optimization server;
and the optimization server is used for receiving the optimization data and optimizing the processing technology of the processing node through the network node.
7. The intelligently controlled heat sealing machine production fleet according to claim 6, wherein said cloud data server obtaining an optimization algorithm comprises:
step 1: acquiring abnormal data and process data of the processing node, thereby obtaining a processing parameter Y (t) of the processing node at the time t:
wherein, k isilThe ith type of machining data indicating the ith machining node; said g isilThe ith type of abnormal data representing the ith processing node; f isl(t) indicates the status of the first kind of data; the i ═ 1,2,3 … i represents a processing node;
step 2: obtaining the machining feature P of the machining node according to the machining parameter Y (t):
wherein u isijThe ith processing constant of the ith processing node is the L & ltth & gt processing constant, and S represents an abnormal condition equation;
and step 3: obtaining an optimization algorithm d, and judging the replacement degree R (d) of the optimization algorithm d according to the processing characteristic P:
and 4, step 4: acquiring a replacement degree R (d), and judging whether the replacement degree R (d) is greater than 1, wherein when R (d) is greater than or equal to 1, the optimization algorithm d can be used; when the R (d) <1 indicates that the optimization algorithm d cannot be used.
8. The machine cluster according to claim 5, wherein the server group optimizes the production process of the heat sealing machine by two optimization modes, namely single-processing node optimization or multi-node processing optimization, and comprises the following steps:
the method comprises the steps of obtaining process data of network nodes in a grading mode based on a binary tree theory and a traversal algorithm;
respectively optimizing the machining efficiency of each machining node in the production process flow of the heat sealing machine through an optimization mode of optimizing a single machining node;
and respectively optimizing the processing paths of any two processing nodes in the production process flow of the heat sealing machine through an optimization mode of multi-processing node optimization.
9. The intelligently controlled fleet of heat-sealing machine generators, according to claim 5, wherein said server farm is optimized by means of an optimization model of single process node optimization, implemented by the steps of:
acquiring real-time monitoring data of any processing node A;
classifying the real-time monitoring data of the processing node A, and determining process data, production data and abnormal data of the processing node A after classification;
optimizing the process data through an optimization algorithm, and processing the process data at least through one of reducing, increasing and adjusting to generate new process parameters;
optimizing the production data by an optimization algorithm, and optimizing the production data at least by one of production time and production time reduction to generate new production time; wherein the content of the first and second substances,
when the new production time is implemented, the total production time is also adjusted;
and processing the abnormal data through an optimization algorithm, and adjusting the processing steps or the materials of the processing nodes at least through one of a material adjustment mode and a process adjustment mode.
10. The intelligently controlled heat sealing machine production fleet according to claim 5, wherein said server farm is optimized by an optimization model of multi-process node optimization by the steps of:
obtaining the processing path and the processing efficiency between any two processing nodes A and B
Classifying the process data between the processing nodes A and B to obtain classified process data;
processing the classified process data through an optimization algorithm, and judging whether a replacement process exists in the process steps between the processing nodes A and B;
when a replacement process is available, judging whether the replacement process can increase the processing efficiency, and when the processing efficiency can be increased, performing process replacement;
when the replacement process is not available, the process is continued according to the original process.
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