CN113793110A - Industrial equipment data acquisition and analysis method based on cloud computing and cloud service platform - Google Patents
Industrial equipment data acquisition and analysis method based on cloud computing and cloud service platform Download PDFInfo
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Abstract
The invention relates to a data acquisition and analysis method for industrial equipment based on cloud computing, which comprises the following steps: the gateway equipment acquires equipment related information of an equipment layer, sends the equipment related information to the cloud server and stores the equipment related information; the method comprises the steps that a cloud server receives a control instruction of a cloud platform information system; and the cloud server analyzes and processes the relevant information of the equipment according to the control instruction and responds to the control instruction. The cloud service platform can be established, the equipment data of a factory can be intelligently acquired and monitored, the production management of an enterprise is digitalized, normalized and transparent, the running state of the equipment can be checked in real time, the product process issuing process is normalized, the process standardization is realized, and the product stability is improved; and the method is also beneficial to the enterprise to analyze the operation condition of the factory and improve the effective utilization rate of the equipment.
Description
Technical Field
The invention relates to the field of forestry safety, in particular to a cloud computing-based industrial equipment data acquisition and analysis method and a cloud service platform.
Background
The equipment of the traditional factory is discrete, and is not associated with each other, and the production data is usually managed by using Excel tables, so that the implementation mode is simple, omission and non-standardization are easy, query is difficult, simultaneous cooperative processing of multiple persons cannot be supported, the data information is stored only singly, and the information association ratio is poor; the equipment is scattered, the equipment data and the equipment data are relatively scattered, the equipment is easy to lose, unified management is lacked, the maintenance time of the equipment is delayed due to the fact that the equipment cannot be timely repaired, production cannot be carried out, and finally specified yield cannot be finished. With the development of industry 4.0, more and more factories are urgently needed to establish digitalized factories.
Disclosure of Invention
The invention aims to solve at least one of the defects of the prior art and provides a cloud computing-based industrial equipment data acquisition and analysis method and a cloud service platform.
In order to achieve the purpose, the invention adopts the following technical scheme:
specifically, a cloud computing-based industrial equipment data acquisition and analysis method is provided, which comprises the following steps:
the gateway equipment acquires equipment related information of an equipment layer, sends the equipment related information to the cloud server and stores the equipment related information;
the method comprises the steps that a cloud server receives a control instruction of a cloud platform information system;
and the cloud server analyzes and processes the relevant information of the equipment according to the control instruction and responds to the control instruction.
Further, the way for the gateway device to establish connection with the devices of the device layer and the cloud server specifically includes the following,
the gateway establishes edge drive and is connected with the equipment;
the gateway equipment and the platform server are networked to form data interaction;
establishing an equipment model on a cloud service information system, and printing a label to be attached to corresponding equipment;
the gateway regularly acquires equipment data and uploads the data to the platform server;
and the platform server updates the equipment operation information in the database in real time according to the received data and time.
Further, the above-mentioned establishing of the edge drive specifically includes the following,
establishing gateway equipment, wherein one gateway can be provided with a plurality of equipment;
and establishing the Internet of things equipment, wherein the Internet of things equipment corresponds to the IP of the real equipment.
And establishing an edge instance, distributing an edge drive to the Internet of things equipment, and binding the Internet of things equipment to the gateway equipment.
Further, when the related information of the equipment is stored, a distributed storage method is adopted, specifically, when the stored data is put in storage, the safety level is determined according to the active selection of the personnel in storage, the security level is divided into a low level and a high level, if the security level is defined as the low level, the common distributed storage mode is adopted, and if the security level is defined as the high level, firstly, storing corresponding data in one node of distributed nodes, then, carrying out data segmentation on the corresponding data, distributing a unique ID for a plurality of sub-data segments obtained by segmentation, respectively storing the plurality of sub-data segments in other distributed nodes, and associating the ID with the corresponding distributed nodes, and when the single node storing the corresponding data is damaged, performing data recovery through the reverse operation of the data segmentation, and performing data storage again through the mode.
Further, the device-related information specifically includes a device state, a device name, a device IP, a device running time, and a device processing number.
The invention also provides a cloud service platform for data acquisition and analysis of the industrial equipment based on cloud computing, which comprises,
the equipment layer is specifically various manufacturing units and is used for completing production tasks of a factory;
the gateway equipment is used for acquiring equipment related information of the equipment layer, sending the equipment related information to the cloud server and storing the equipment related information;
the cloud server is used for receiving a control instruction of a cloud platform information system, analyzing and processing the relevant information of the equipment according to the control instruction and responding to the control instruction;
and the cloud platform information system is used for acquiring the request of the user and forming a corresponding control instruction.
Further, the gateway device specifically includes a first network interface,
the data acquisition module is used for acquiring equipment state, equipment name, equipment IP, equipment running time and equipment processing number;
the data transmission module is used for transmitting the data acquired by the data acquisition module to the cloud server by calling a built-in network module;
and the data storage module is used for storing the related information of the equipment.
Further, it is specific the network module is any one of 3g communication module, 4g communication module, wifi module or wired networking module, works as when the network module is wired networking module, the gateway equipment carries out data interaction through the broadband network.
Further, the cloud platform information system specifically includes,
the system setting subsystem is used for creating a management department, creating a management user, creating a management role and authorizing operation authority, and the operation authority of the user limits a module which can be operated by the user, so that the safe access of data is ensured;
the system comprises a platform management subsystem, a gateway device and a scheduling staff, wherein the platform management subsystem is used for establishing an equipment model and a factory calendar of a factory, after the equipment is connected with the gateway device, the actual equipment condition is installed on the platform subsystem to establish the equipment model belonging to the factory, and the factory calendar provides a factory shift management function for the scheduling staff and can reasonably plan the working time of an enterprise;
the equipment management subsystem is used for displaying and viewing the equipment state and the detailed condition of the equipment;
the order management subsystem is used for creating orders, and the order contents comprise order names, order numbers, customer information, appointed types, processing types and product accessories;
the production management subsystem is used for dividing the total production plan into each workshop plan, assigning the workshop plans into each production line task, distributing the production line task to each equipment responsible person, and then performing the scheduling processing to complete the task;
the product archive subsystem is used for establishing a product library and a product process, realizing product classification, and uniformly managing processing steps, processing processes and processing drawings of the same product, wherein the processed product is to be filed in the product library, and the established product comprises a product name, a product model, a basic unit and a product description;
the online service subsystem is used for service repair and establishing a knowledge base; the service repair is performed when the plant equipment fails, and the knowledge base can be established and stored with working documents.
Further, the cloud service platform is an application platform developed based on a B/S architecture.
The invention has the beneficial effects that:
the cloud service platform can be established, the equipment data of a factory can be intelligently acquired and monitored, the production management of an enterprise is digitalized, normalized and transparent, the running state of the equipment can be checked in real time, the product process issuing process is normalized, the process standardization is realized, and the product stability is improved; and the method is also beneficial to the enterprise to analyze the operation condition of the factory and improve the effective utilization rate of the equipment.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a data collection and analysis method for a cloud computing based industrial device according to the present invention;
fig. 2 is a block diagram illustrating a cloud service platform for data collection and analysis of an industrial device based on cloud computing according to the present invention.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The same reference numbers will be used throughout the drawings to refer to the same or like parts.
Referring to fig. 1, in embodiment 1, the present invention provides a cloud computing-based industrial device data acquisition and analysis method, including the following steps:
step 110, the gateway device obtains device-related information of a device layer, sends the device-related information to a cloud server, and stores the device-related information;
step 120, the cloud server receives a control instruction of the cloud platform information system;
and step 130, the cloud server analyzes and processes the relevant information of the equipment according to the control instruction, and responds to the control instruction.
As a preferred embodiment of the present invention, the way for the gateway device to establish connection with the device of the device layer and the cloud server specifically includes the following,
the gateway establishes edge drive and is connected with the equipment;
the gateway equipment and the platform server are networked to form data interaction;
establishing an equipment model on a cloud service information system, and printing a label to be attached to corresponding equipment;
the gateway regularly acquires equipment data and uploads the data to the platform server;
and the platform server updates the equipment operation information in the database in real time according to the received data and time.
As a preferred embodiment of the present invention, the above-mentioned establishment of the edge drive specifically includes the following,
establishing gateway equipment, wherein one gateway can be provided with a plurality of equipment;
and establishing the Internet of things equipment, wherein the Internet of things equipment corresponds to the IP of the real equipment.
And establishing an edge instance, distributing an edge drive to the Internet of things equipment, and binding the Internet of things equipment to the gateway equipment.
In addition, the gateway equipment and the platform server form association and data interaction, and the method comprises the following steps:
the method comprises the following steps that (I) gateway equipment acquires data of the equipment;
secondly, the gateway equipment uploads the collected real-time monitoring data to a platform server according to a set period;
and (III) the platform server receives the data to complete data information interaction.
As a preferred embodiment of the present invention, when storing the device-related information, a distributed storage method is adopted, specifically, when the stored data is put in storage, a security level is determined according to active selection of people who put in storage, the security level is divided into a low level and a high level, if the security level is defined as the low level, according to a common distributed storage manner, if the security level is defined as the high level, the corresponding data is first stored in one node of the distributed nodes, then the corresponding data is divided, a unique ID is assigned to a plurality of sub-data segments obtained by division, the plurality of sub-data segments are respectively stored in other distributed nodes, the ID is associated with the corresponding distributed nodes, and when an individual node storing the corresponding data is damaged, data recovery is performed through a reverse operation of the data division, and data storage is carried out again in the above manner.
In the preferred embodiment, when data is collected, important data and general data are distinguished and then stored in a targeted manner, the important data are divided and stored in distributed nodes for backup, and when the data is lost, the important data are retrieved and stored again according to the operation, so that the safety of the important data can be ensured.
As a preferred embodiment of the present invention, the device-related information specifically includes a device status, a device name, a device IP, a device runtime, and a device processing number.
Referring to fig. 2, the present invention further provides a cloud service platform for data collection and analysis of an industrial device based on cloud computing, including,
the equipment layer is specifically various manufacturing units and is used for completing production tasks of a factory;
the gateway equipment is used for acquiring equipment related information of the equipment layer, sending the equipment related information to the cloud server and storing the equipment related information;
the cloud server is used for receiving a control instruction of a cloud platform information system, analyzing and processing the relevant information of the equipment according to the control instruction and responding to the control instruction;
and the cloud platform information system is used for acquiring the request of the user and forming a corresponding control instruction.
As a preferred embodiment of the present invention, the gateway device specifically includes,
the data acquisition module is used for acquiring equipment state, equipment name, equipment IP, equipment running time and equipment processing number;
the data transmission module is used for transmitting the data acquired by the data acquisition module to the cloud server by calling a built-in network module;
and the data storage module is used for storing the related information of the equipment.
As a preferred embodiment of the present invention, the network module is any one of a 3g communication module, a 4g communication module, a wifi module, or a wired networking module, and when the network module is the wired networking module, the gateway device performs data interaction through a broadband network.
As a preferred embodiment of the present invention, the cloud platform information system specifically includes,
the system setting subsystem is used for creating a management department, creating a management user, creating a management role and authorizing operation authority, and the operation authority of the user limits a module which can be operated by the user, so that the safe access of data is ensured;
the system comprises a platform management subsystem, a gateway device and a scheduling staff, wherein the platform management subsystem is used for establishing an equipment model and a factory calendar of a factory, after the equipment is connected with the gateway device, the actual equipment condition is installed on the platform subsystem to establish the equipment model belonging to the factory, and the factory calendar provides a factory shift management function for the scheduling staff and can reasonably plan the working time of an enterprise;
the equipment management subsystem is used for displaying and viewing the equipment state and the detailed condition of the equipment;
the order management subsystem is used for creating orders, and the order contents comprise order names, order numbers, customer information, appointed types, processing types and product accessories;
the production management subsystem is used for dividing the total production plan into each workshop plan, assigning the workshop plans into each production line task, distributing the production line task to each equipment responsible person, and then performing the scheduling processing to complete the task;
the product archive subsystem is used for establishing a product library and a product process, realizing product classification, and uniformly managing processing steps, processing processes and processing drawings of the same product, wherein the processed product is to be filed in the product library, and the established product comprises a product name, a product model, a basic unit and a product description;
the online service subsystem is used for service repair and establishing a knowledge base; the service repair is performed when the plant equipment fails, and the knowledge base can be established and stored with working documents.
As a preferred embodiment of the invention, the cloud service platform is an application platform developed based on a B/S architecture.
In particular, the method comprises the following steps of,
the system setting subsystem of the cloud platform information system is used for creating a management department, creating a management user, creating a management role and authorizing operation authority, the operation authority of the user limits a module which can be operated by the user, and the safe access of data is ensured.
In the cloud platform information system, the platform management subsystem is used for establishing an equipment model and a factory calendar of a factory, and after the equipment is connected with the gateway equipment, the actual equipment condition is installed on the platform subsystem to establish the equipment model belonging to the factory. The factory calendar provides the scheduling personnel with the function of managing the factory shift. The working time of the enterprise can be reasonably planned.
According to the cloud platform information system, the device management subsystem is used for displaying and viewing the device state and the details of the device.
Device overview card background color represents NC status: green represents run; orange stands for stop; red for alarm; grey represents equipment offline; the current number on the equipment overview card represents the number of processed pieces, the target number represents the number of target pieces, the progress bar shows the processing progress, and the card displays the name of equipment, equipment codes, the type of the equipment, the running state, the running mode and the like.
Different display modes can be switched in the equipment overview, and the display modes comprise: list view, card view, and fold view;
the details of the equipment are displayed according to the established plant model, and comprise equipment codes, equipment names, equipment types, equipment states and the like;
the equipment details also comprise equipment system information, software and hardware versions, equipment state information, processing programs, alarm information and the like;
the state data history record of the equipment is graphically displayed, and the enterprise can conveniently check the state data history record.
After the product is established, a product process is established, and raw material distribution, processing procedures and working procedures are well set in the traditional Chinese medicine of the product process. There may be multiple processes for a single product process.
In the cloud platform information system, the product archive subsystem is used for establishing a product library and a product process, realizing product classification, and uniformly managing processing steps, processing processes and processing drawings of the same product. The processed product is to be filed in a product library, and the created product comprises a product name, a product model, a basic unit and a product description.
The product technology is established and can be used after being released, and the product can be released after the product technology is released.
And optimally, only products released in the product library can be added into an order to carry out production scheduling.
The cloud platform information system as described above, wherein the order management subsystem is configured to create an order, and the order content includes an order name, an order number, customer information, an appointment type, a processing type, and a product attachment. The method can realize the interface with management software such as ERP and the like.
An order may add multiple products including selection of product model, production quantity, delivery time, and description information.
The selected product model is a product that has already been released at the product archive subsystem.
The production management subsystem of the cloud platform information system is used for dividing a total production plan into each workshop plan, the workshop plans are divided into each production line task, the production line tasks are distributed to each equipment responsible person, and then the tasks are finished through scheduling and processing.
The overall production plan is translated from the created order. The total production plan includes plan code, plant plan status, issue plan progress bar, completed number, target number, production progress bar, distance delivery remaining time, plant plan production accountant.
The plan code is unique to distinguish factory plans for the same product.
There are three plant planning states: and finishing the new planning, production and production.
And issuing the factory plan to the workshop, wherein the factory plan comprises the selection of the workshop, the target number and the workshop plan production responsible person.
One factory plan can be issued to a plurality of workshops, or can be issued to the same workshop for multiple times;
and the total production plan is issued to the workshop by a factory leader, and the total production plan is converted into a workshop plan. The workshop plan comprises a workshop plan code, a workshop plan state, a distribution plan progress bar, a finished number, a target number, a production progress bar, a distance delivery remaining time and a workshop plan production accountant.
The shop plan code is unique and is used for distinguishing the shop plans of the same product;
when the total production plan is sent to the workshop plan, the workshop responsible person receives the reminding information at the mobile phone WeChat small program.
There are three types of plant planning states: new planning, allocated, in production, production completed.
The workshop plan is issued to the groups by the workshop responsible persons, the corresponding groups are selected, and the corresponding productivity calculation percentages are filled; the corresponding production date is selected on the calendar view.
The date can be selected only for the current day and the time; the calendar view is provided with a prompt delivery date which is not used as a production limiting date;
and selecting the date of the back calendar view, enabling the background of the date to turn green, and enabling a numerical red point to appear above the date, so that the task is allocated to the day, and the task is displayed in the calendar view when the task is available on the day.
The group tasks issued to the current day need to be scheduled and produced on the current day;
the issued workshop plan can only select the group in the workshop and cannot select the group to distribute tasks across the workshops.
When the workshop plan is issued to the group, the group responsible person receives the reminding information at the mobile phone WeChat small program.
And distributing the group tasks to each device, manufacturing unit and flexible intelligent manufacturing unit.
Quickly finding a group task in a filter of a page; clicking the group, and jumping the page to a calendar view; the tasks distributed by the group can be seen through the calendar view, and the date of the received task is clicked to select a production line task distribution task;
the group tasks are distributed to the equipment to select corresponding procedures, select the equipment and fill in the target quantity; selecting whether to start a factory calendar shift; selecting a processing counting mode;
the processing counting mode has two types, namely a first mode: the arrival time is automatically counted according to the operation of the machine tool. The second method comprises the following steps: manual confirmation is required and counting is started according to the operation of the machine tool.
And the group task is distributed to the equipment, and the equipment responsible person receives the reminding information at the mobile phone WeChat small program.
The production management subsystem also has production monitoring, and the production monitoring can check the execution tasks of the equipment, namely an equipment task processing schedule;
and producing, monitoring and clicking the process name of the equipment task list, and acquiring a processing operation drawing, an operation instruction book and process attributes.
The online service subsystem of the cloud platform information system is used for service repair and knowledge base establishment; the service repair is performed when the plant equipment fails, and the knowledge base can be established and stored with working documents.
The service can be reported and repaired through a two-dimension code scanning and a platform on the equipment.
The online service subsystem also records the past repair records, and is convenient for enterprises to trace the service condition of the equipment.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the above-described method embodiments when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
While the present invention has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the invention by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (10)
1. The industrial equipment data acquisition and analysis method based on cloud computing is characterized by comprising the following steps:
the gateway equipment acquires equipment related information of an equipment layer, sends the equipment related information to the cloud server and stores the equipment related information;
the method comprises the steps that a cloud server receives a control instruction of a cloud platform information system;
and the cloud server analyzes and processes the relevant information of the equipment according to the control instruction and responds to the control instruction.
2. The cloud computing-based industrial equipment data collection and analysis method according to claim 1, wherein the way in which the gateway device establishes connection with the equipment of the equipment layer and the cloud server specifically comprises the following,
the gateway establishes edge drive and is connected with the equipment;
the gateway equipment and the platform server are networked to form data interaction;
establishing an equipment model on a cloud service information system, and printing a label to be attached to corresponding equipment;
the gateway regularly acquires equipment data and uploads the data to the platform server;
and the platform server updates the equipment operation information in the database in real time according to the received data and time.
3. The cloud-computing-based industrial equipment data collection and analysis method of claim 2, wherein establishing the edge driver specifically comprises establishing the edge driver as follows,
establishing gateway equipment, wherein one gateway can be provided with a plurality of equipment;
establishing an internet of things device, wherein the internet of things device corresponds to the IP of the real device;
and establishing an edge instance, distributing an edge drive to the Internet of things equipment, and binding the Internet of things equipment to the gateway equipment.
4. The cloud-computing-based industrial equipment data acquisition and analysis method according to claim 1, characterized in that when the relevant information of the equipment is stored, a distributed storage method is adopted, specifically, when the stored data is put in storage, the security level is determined according to the active selection of the personnel in storage, the security level is divided into a low level and a high level, if the security level is defined as the low level, a common distributed storage mode is adopted, if the security level is defined as the high level, the corresponding data is firstly stored in one node of the distributed nodes, then the corresponding data is divided, a plurality of sub-data segments obtained by division are allocated with a unique ID, the plurality of sub-data segments are respectively stored in other distributed nodes, the ID is associated with the corresponding distributed node, and when the individual node storing the corresponding data is damaged, and recovering the data through the inverse operation of the data segmentation, and storing the data again through the mode.
5. The cloud computing-based industrial equipment data collection and analysis method according to claim 1, wherein the equipment-related information specifically includes equipment status, equipment name, equipment IP, equipment running time, and equipment processing number.
6. The cloud service platform for data acquisition and analysis of the industrial equipment based on cloud computing is characterized by comprising,
the equipment layer is specifically various manufacturing units and is used for completing production tasks of a factory;
the gateway equipment is used for acquiring equipment related information of the equipment layer, sending the equipment related information to the cloud server and storing the equipment related information;
the cloud server is used for receiving a control instruction of a cloud platform information system, analyzing and processing the relevant information of the equipment according to the control instruction and responding to the control instruction;
and the cloud platform information system is used for acquiring the request of the user and forming a corresponding control instruction.
7. The cloud service platform for cloud computing-based industrial device data collection and analysis according to claim 6, wherein the gateway device specifically comprises,
the data acquisition module is used for acquiring equipment state, equipment name, equipment IP, equipment running time and equipment processing number;
the data transmission module is used for transmitting the data acquired by the data acquisition module to the cloud server by calling a built-in network module;
and the data storage module is used for storing the related information of the equipment.
8. The cloud service platform for data collection and analysis of cloud-based computing industrial equipment according to claim 7, wherein the specific network module is any one of a 3g communication module, a 4g communication module, a wifi module or a wired networking module, and when the network module is the wired networking module, the gateway device performs data interaction through a broadband network.
9. The cloud service platform for cloud computing-based industrial equipment data collection and analysis according to claim 6, wherein the cloud platform information system specifically comprises,
the system setting subsystem is used for creating a management department, creating a management user, creating a management role and authorizing operation authority, and the operation authority of the user limits a module which can be operated by the user, so that the safe access of data is ensured;
the system comprises a platform management subsystem, a gateway device and a scheduling staff, wherein the platform management subsystem is used for establishing an equipment model and a factory calendar of a factory, after the equipment is connected with the gateway device, the actual equipment condition is installed on the platform subsystem to establish the equipment model belonging to the factory, and the factory calendar provides a factory shift management function for the scheduling staff and can reasonably plan the working time of an enterprise;
the equipment management subsystem is used for displaying and viewing the equipment state and the detailed condition of the equipment;
the order management subsystem is used for creating orders, and the order contents comprise order names, order numbers, customer information, appointed types, processing types and product accessories;
the production management subsystem is used for dividing the total production plan into each workshop plan, assigning the workshop plans into each production line task, distributing the production line task to each equipment responsible person, and then performing the scheduling processing to complete the task;
the product archive subsystem is used for establishing a product library and a product process, realizing product classification, and uniformly managing processing steps, processing processes and processing drawings of the same product, wherein the processed product is to be filed in the product library, and the established product comprises a product name, a product model, a basic unit and a product description;
the online service subsystem is used for service repair and establishing a knowledge base; the service repair is performed when the plant equipment fails, and the knowledge base can be established and stored with working documents.
10. The cloud service platform for data collection and analysis of cloud-based computing industrial equipment according to claim 6, wherein the cloud service platform is an application platform developed based on a B/S architecture.
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