CN113780990A

CN113780990A - Cloud intelligence manufacturing platform based on artificial intelligence production management mode and processing method

Info

Publication number: CN113780990A
Application number: CN202111043256.7A
Authority: CN
Inventors: 余军; 黄海军; 叶俊海; 陈海勇; 叶爱琴
Original assignee: Jiangsu Bori Electrical Co ltd
Current assignee: Jiangsu Bori Electrical Co ltd
Priority date: 2021-09-07
Filing date: 2021-09-07
Publication date: 2021-12-10

Abstract

The invention discloses a cloud intelligence manufacturing platform based on an artificial intelligence production management mode and a processing method. The method comprises the steps of building a set of standard unified production management mode system on a cloud platform, allowing an industry manufacturer to register for use, guiding the manufacturer to change own previous mode according to system overlapping business requirements, arranging production flow and sensing equipment according to the standard mode, collecting data, judging through artificial intelligence, classifying downstream data, storing normal data on site, storing abnormal data at the cloud end, solving redundancy and dullness of collected data, facilitating searching and analyzing of the data, achieving real upstream and downstream data sharing, enabling supply chain data to be correct in real time, obtaining videos during actual manufacturing through a cloud intelligence building platform, and laying down good technical data storage for online technical support and quality tracing.

Description

Cloud intelligence manufacturing platform based on artificial intelligence production management mode and processing method

Technical Field

The invention relates to the technical field of enterprise production management modes, in particular to a cloud intelligent manufacturing platform based on an artificial intelligence production management mode and a processing method.

Background

In the current production mode, most manufacturers adopt or fragmentary departments for splicing management, the management is processed in a manual intervention mode, for example, orders are made and need to be sold to log in a standing book, and if a log-in person does not perform the next action, the content stays in a sales module; particularly, a plurality of manufacturers or persons need to judge the inspection module, and whether the inspection module is qualified or unqualified, the person is required to operate the inspection module to perform the next action. The disadvantages are as follows: low efficiency and high degree of dependence on human.

At present, many enterprises apply a management and control platform of a production mode, but the inventor of the present application finds that the above-mentioned technology has at least the following technical problems in the process of implementing the technical scheme of the present application embodiment:

1. the existing management and control platform of the production mode is limited in an enterprise, and similar to a single machine, the cost of enterprise development is higher when the management and control platform is used in a cross-region mode with the enterprise.

2. Each enterprise introduces or independently develops a set of production management system, and the investment is larger.

3. Moreover, each system mode is developed independently, so that different systems cannot share upstream and downstream information, quality data cannot be well supervised, contents are limited to digital data, and good judgment cannot be made, which is not favorable for quality control, cost control and information sharing of the industry.

4. In the production process, although a lot of data are collected, one classification is not carried out on the data, and the more the data are, the effect of the data is limited, so that the enterprise costs a lot of manpower and material resources, but the actual effect is limited.

In order to solve the technical problems, the embodiment of the invention builds a set of standard unified production management mode system on a cloud platform, so that an industry manufacturer can register and use the system, guides the manufacturer to change the previous mode according to the requirement of system lapping business, arranges production flow, sensing equipment and data collection according to the standard mode, classifies downstream data through artificial intelligence judgment, stores normal data on site, stores abnormal data at a cloud end, facilitates searching and analyzing of the data, is convenient and quick in data exchange, achieves real upstream and downstream data sharing, is correct in real time of supply chain data, can obtain videos in actual production through the cloud intelligence platform, and provides good technical data storage for online technical support.

Disclosure of Invention

The cloud intelligence system platform and the processing method based on the artificial intelligence production management mode solve the technical problems of low efficiency and high degree of dependence on people in the prior art, realize transmission of invalid data, facilitate searching and analyzing of data, facilitate exchange of data, achieve real upstream and downstream data sharing and correct supply chain data in real time.

The embodiment of the application provides a cloud intelligence generation platform based on an artificial intelligence production management mode, which comprises a system framework, a supplier side data acquisition center, an edge Internet of things agent, a cloud intelligence generation management platform and a cloud platform.

The cloud intelligence building management platform is connected with a cloud platform, and the application of the cloud intelligence building management platform can be arranged and solidified according to industrial characteristics;

the cloud platform and the cloud intelligence creation management platform are transmitted through the internet, and the data format is as follows: JSON/XML/binary, bidirectional flow, real-time transmission;

the cloud intelligence development management platform is provided with a plurality of enterprise middlings, and the enterprise middlings comprise a business middling and a data middling;

the business center station provides service application, and the business center station refers to business application required by an artificial intelligence production mode solidified on the business center station and comprises order monitoring, intelligent monitoring, quality evaluation, supplier cooperation, industry benchmarking, online support and capacity allocation;

the data center station provides data analysis capability through data uploaded by the service center station, and helps to learn and improve from the data;

the back end of the cloud intelligent management platform comprises a connection management module, an information management module and an equipment management module;

the equipment management module is used for carrying out input management on the equipment of the enterprise after the enterprise is resident on the platform, planning the production capacity of the enterprise, the management and control of the production process and the acquisition work of intelligent data through equipment management and control, and managing the maintenance of the equipment;

the information management module refers to enterprise architecture information and project order information, and an enterprise organization architecture model can be established through architecture information management to lay a foundation for platform operation; the project order information refers to a management module for whole order information circulation from the time of receiving project information input, dispatching projects, executing projects and finishing projects;

the connection management module refers to process management, how to circulate among modules, rule setting of circulation and rule setting of upper and lower signatures.

The cloud platform comprises a network, a security component, a database, a middleware and a technical support component;

the network refers to the Internet, and the cloud platform is built at the cloud end and is transmitted through the Internet;

the safety means that data is safely and reliably encrypted and transmitted by adopting an encryption communication channel through the Internet;

the database refers to storage of collected data, video data is stored in a local database, other data is stored in a cloud end and is distinguished from the cloud intelligence building management platform, and data interaction can be realized through an information network safety isolation device;

the middleware refers to a middle connector for processing data acquired at the front end and data at the rear end, and comprises order monitoring, intelligent monitoring, quality evaluation, supplier cooperation, industry benchmarking, online support and capacity allocation of a business center;

the technical support component refers to a sensing technology used for acquiring data at a supplier-side data acquisition center, and comprises image identification equipment, simulation test equipment, X-ray equipment, a PLC sensor, a production line video acquisition device and a test video acquisition device;

the order monitoring means that the whole manufacturing process of the product is tracked by taking a customer purchase order and the affiliated project information as a main line, and comprises the following steps: the purchasing order and the affiliated project of the client side, the selling order, the production work order, the production process monitoring and control information and the delivery test information link of the supplier side are realized, the visual and visual analysis and the real-time inquiry of the order production track are realized, and the client side and the manufacturer can find, solve and trace the quality problem in the manufacturing process in time;

the intelligent monitoring means that production state data, industrial control data, video monitoring data and equipment detection data of a production line are acquired in real time through a cloud intelligent platform function, and real-time monitoring of production and inspection processes is realized; the real-time data of the production processes of different types of equipment are logically solidified, the production dead pixels are automatically analyzed by a system, and the production data and the video data before and after the dead pixels can be automatically intercepted and filed to be checked at the same time of early warning;

the quality evaluation refers to that the production process data, the process and process data, the production equipment product data and the IT system data are collected and analyzed, the process and the process of a manufacturer are evaluated by using a professional product quality evaluation model prefabricated in the system, and found problems are fed back and traced back to relevant personnel for reference;

the industrial benchmarking artificial intelligence carries out multidimensional comparison analysis on the production capacity, the detection capacity and the service level of different suppliers by analyzing the data collected by all suppliers of the online cloud platform, so that an industrial benchmarking index model can be established;

the supplier cooperation means that delivery time expectation, installation and debugging, equipment operation and manufacturer evaluation information are fed back to a manufacturer in time, the timeliness of project delivery and performance is improved, equipment failure and defect initiation, progress solving and processing results are tracked in real time, and support is provided for supplier performance cooperation;

the capacity allocation refers to that a material management department acquires inventory information in an ERP system of a supplier and scheduling information in an MES system in real time, tracks and analyzes equipment production saturation, product production cycle, reasonable supply cycle, delivery plan and delivery progress supplier capacity information comprising multiple products and multiple types, adjusts and optimizes a project delivery plan and a supplier delivery plan, and realizes deep visual two-way cooperation of project planning allocation and supplier capacity allocation of a user;

the online support means that when the technical problems and equipment faults which cannot be solved by equipment model inconsistency, product size deviation and equipment operation defects occur in the processes of spot check, installation and debugging, operation and maintenance, field personnel can apply online support to technical experts, users and suppliers, the technical experts carry out remote problem diagnosis and analysis, remote guidance and support are provided in a video and audio mode, and quality and service problems are tracked and traced.

The edge Internet of things agent is transmitted through the Internet, and the communication protocol MQTT and the data format are as follows: JSON/XML/binary, bidirectional flow, real-time transmission; the system is connected to a data acquisition center in a wired mode, and on the basis of unifying functions, effects and scene structures, the acquisition, processing and transmission of production data, test data and video data to a cloud intelligent manufacturing management platform are achieved according to different typical configurations.

The edge data transfer agent is a safe encrypted data transmission channel, and the safe and reliable transmission of data between the cloud platform and downstream customers is realized by carrying a safe chip or a software encryption mode. The system framework comprises a system management module, a project management module, a planning and scheduling module, a design management module, a purchase management module, a storage management module, a production management module, a quality management module and a schedule office module;

the system management module comprises system management, system setting and basic data;

the system management comprises mechanism setting, authority setting, system information, information maintenance and other settings; the organization settings comprise companies, departments, teams and groups, jobs, work types, staff maintenance, management and staff rate setting; the authority setting comprises role adding, authority distribution, role assignment and authority query; the system information comprises installation information, system logs, accessory information, database information and application statistics; the system maintenance comprises data backup, data cleaning and external connection; the other settings comprise system data settings;

the system setting comprises workflow setting and field coding setting; the workflow setting comprises approval process setting and approval process definition; the examination and approval process setting comprises establishing business examination and approval process template information; the approval process definition comprises the step of formulating a detailed business approval process; the field coding setting comprises a coding state setting; the coding state setting comprises the steps of formulating the coding rules of products, parts, processes, contracts, personnel and drawings of users, and distinguishing versions, manufacturers and generations of suffixes;

the basic data comprises a factory model, a warehouse model, a customer definition, a supplier definition and a material definition; the factory model comprises a workshop, a production line, stations and working procedures; the warehouse model comprises a warehouse and a warehouse location; the customer definition comprises a national power grid; the supplier definition comprises key suppliers; the material definition comprises supplier, client, storage and unit information;

the project management module comprises sales management, project information management and comprehensive information management;

the sales management comprises customer management, quotation management, contract management and after-sales service; the customer management comprises customer information and pre-sale technology; the customer information comprises basic conditions, items, models, quantity and priority levels of customers; the pre-sale technology comprises standard technical parameters; the quotation management comprises project quotation, quotation examination and approval and quotation printing; the project quotation comprises setting a common quotation format, auditing, storing in a quotation library, and calling and inputting the quotation format: product model, component model, quantity, price, manufacturer, payment mode, warranty period and contact person can be manually increased; the quotation examination and approval comprises quotation modification and quotation examination and approval; the contract management comprises order contracts, contract examination and approval and contract release; the order contract comprises the following steps of setting a common contract format, checking, storing in a contract library and calling contract version input: model, quantity, price, payment method, warranty period, contact; the contract approval comprises contract modification and contract approval; the after-sale service comprises an after-sale service ledger, field service and online support; the after-sale service ledger comprises an after-sale which is not completed according to time, a top reminding function and a production after-sale item number which needs to be assisted, and is issued to a planning module, and a moving item flow of paid service; the online support comprises remote guidance and fault diagnosis analysis;

the project information management comprises project information input, project personnel information and project task management; the entry of the project information comprises the following steps of generating basic project information: order number, name, quantity, delivery date, priority level; the project personnel information comprises project group personnel allocation and modification; the project task management comprises project summarization and project execution; the project summary comprises project ledgers; the project execution comprises project release, project pause, project completion and project delivery; the project release comprises the generation of a production notice and the issuing to a planning and scheduling module; the item pause comprises freezing all the operating rights of the item; the item ending comprises the completion processing of the item; the item delivery comprises the steps of generating a delivery notice, examining and approving delivery and issuing a delivery order;

the comprehensive information management comprises product archive management, project information monitoring and project task query; the product archive management comprises the steps of classifying, summarizing, inquiring and analyzing key information in the project execution process; the project information monitoring comprises the following steps: project task state, production information, production progress report and inventory information; the project task query comprises external access, partial information query and information channel retrieval by a supplier data acquisition center;

the planning and production scheduling module is used for respectively scheduling strategies, project task management, automatic production scheduling, plan execution query and comprehensive statistics; the scheduling strategy comprises basic capacity, staff skills, order delivery requirements, order priority and production team configuration; the project task management comprises summarizing task information and confirming scheduling conditions; the automatic scheduling comprises manual scheduling; the manual scheduling comprises a design plan, a purchasing plan, a batching plan, a production plan, a test plan and a warehousing plan; the purchasing plan comprises a purchasing module, the batching plan comprises a warehouse module, the production plan comprises a production module, the test plan comprises a quality module, and the warehousing plan comprises a warehouse module; the plan execution comprises plan issue, plan check and dispatching settlement sheets, wherein the plan issue comprises a daily work schedule and is accessed to a billboard; the plan inspection comprises the statistics of the daily completion condition and the access of a billboard; the dispatching settlement list comprises time records for staff to execute, and daily wages of each staff are generated according to completion conditions and inspection conditions; the plan execution query comprises an external interface, a supplier data acquisition center and an internal interface, and can be queried in real time and analyzed visually; the comprehensive statistics comprise cost statistics and production statistics, the cost statistics comprise project cost and comprehensive query, and the project cost comprises the total cost and the subentry cost of a project which are summarized according to the BOM and a dispatching list; the comprehensive query comprises querying a cost detail list related to the cost according to the query condition; the production statistics comprise equipment load statistics, processing task statistics, equipment working hour statistics and manual working hour statistics, the equipment load statistics comprise equipment load rate statistics and project use efficiency statistics, and the project use efficiency adopts a histogram and a trend graph; the processing task statistics comprises various query conditions for querying processing information, the equipment working hour statistics comprises equipment use working hour statistics, and the manual working hour statistics comprises manual working hours for counting various query conditions;

the design management module comprises basic product management, design task management and design execution management; the basic product management comprises product process routes and part type setting, wherein the product process routes comprise project product process routes and process files set according to product classification and conventional process routes set according to company products; the part type setting comprises setting a part list database, inputting new part information, name, unit, inventory attribute and part attribute, generating part codes, realizing fuzzy selection and setting a BOM (basic object model) table of common products according to company products; the design task management comprises design task receiving, design task comparison and technical accessory inquiry, wherein the design task receiving comprises receiving tasks sent by a plan design module, a responsible person sees all the tasks, and a technician sees own tasks; the design task comparison comprises automatic comparison of production notice, generation of project information with similar technical parameters and comparison of project information by designers, new product design and old product issue; the technical attachment query comprises the technical attachment information corresponding to the query item number; the design execution management comprises design drawing downloading and design drawing archiving, wherein the design drawing archiving comprises a function with a database and design change management, the design drawing downloading screens drawings according to keyword indexes of the drawings, downloads and modifies the drawings and stores downloading records, the design drawing archiving submits and archives the designed drawings, a keyword index is established, the stored drawings cannot be deleted and modified, the design change management is to receive change information, download the drawings, archive the changes again, and clamp the same project file for version marking and classification; the design drawing issuing comprises product BOM importing, can be wholly importing, and can also be commonly used for product BOM table modification, assembly drawing, secondary line drawing and factory drawing, wherein the assembly drawing, the secondary line drawing and the factory drawing need to be issued to a production module through auditing, and the issued modified drawing needs to be provided with a top information prompt;

the purchasing management module comprises supplier management and purchasing execution management; the supplier management comprises a supplier qualified directory and a supplier evaluation standard; the supplier qualified name list is recorded into the basic information of each supplier: company name, product, contact, phone, vendor level; the supplier evaluation standard is divided into a supplier evaluation template, the supply time efficiency and the quality of the supplier are automatically recorded according to the template, and evaluation is made; the purchasing execution management comprises purchasing BOM management, purchasing contract management, purchasing inspection delivery management, purchasing return management and purchasing invoice management; the step of purchasing BOM management comprises the steps of receiving a BOM list sent by design, automatically comparing the stock quantity of a warehouse, modifying and checking and generating a purchasing plan list; the purchasing contract management comprises the steps of setting a purchasing contract template, checking, saving to a contract library and transferring the format input of the purchasing contract: product name, quantity, price, tax rate, shelf life, warranty period, bar code generation, audit modification and purchase contract generation; the purchasing and submitting management comprises the steps of contrasting the goods arrival condition, and respectively submitting the materials of the BOM schedule to the raw material inspection module and setting a top prompt for the materials which are not submitted for inspection due; the step of purchasing goods returning management is that a goods returning plan, purchasing input information, auditing and a production goods returning list are sent to a warehouse in sequence; the step of purchasing invoice management comprises the steps of presetting an invoice mode, inputting invoice information, and submitting after warehousing price and name materials;

the warehouse management module comprises warehouse execution management, inventory query management and strategies; the warehouse inventory management comprises warehouse, storage position setting and inventory data entry, and can be imported by EXCEL; the warehouse execution management comprises part warehousing, part ex-warehouse, semi-finished product warehousing, semi-finished product ex-warehouse, finished product warehousing, finished product ex-warehouse and scattered purchasing; the parts are put in storage and need to be submitted by a purchasing module, and are put in storage after quality inspection is qualified; the part ex-warehouse is a batching plan submitted by a planning module, and ex-warehouse processing is carried out according to a project BOM sheet; warehousing the semi-finished products into a production module, checking to be qualified through the process, and warehousing the semi-finished products; the semi-finished product ex-warehouse is a batching plan submitted by a planning module, and the semi-finished product ex-warehouse treatment is carried out according to a production task plan; the finished product warehouse-in is submitted to a production module, and the finished product warehouse-in is processed after being qualified through factory inspection; the finished product is delivered out of the warehouse for a delivery plan issued by a sales center, and after financial audit, a delivery note is printed according to a delivery notice to be delivered out of the warehouse; the scattered purchasing is that the stock of the general parts is insufficient in sequence, and a purchasing plan, verification and release are submitted to a BOM management module; the inventory query management comprises inventory profit and loss reports, inventory data adjustment, inventory data query and inventory early warning reminding; the strategies comprise warehouse types, warehouse area distribution, warehouse entering and exiting strategies, material bar codes, error and fool proofing and early warning message reminding;

the production management module comprises equipment resource management, production plan control, production process execution, production progress management and strategies; the equipment resource management comprises equipment type definition, equipment standing book maintenance, equipment working time setting, equipment maintenance record, equipment maintenance application and equipment data acquisition and bulletin board; the production plan control comprises production task management, automatic scheduling and production progress summarization; the production process comprises a general process, a key process and a special process; the production progress management comprises process progress inquiry, part comprehensive information, equipment task information and production quantity statistics; the strategies comprise a process route, personnel configuration, equipment conditions, early warning reminding, production area distribution and the production cycle of a unit component;

the quality management module comprises quality plan control, quality plan implementation, abnormal problem management, quality report management and strategies; the quality plan implementation comprises raw material inspection, production process inspection and delivery inspection; the abnormal problem management comprises an abnormal reason registration template, processing flow setting, abnormal reason summarizing, abnormal problem processing and abnormal comprehensive statistics; the quality report management comprises quality reports of adult, month and day and quality reports of product types; the strategies comprise inspection specifications, inspection standards, personnel configuration, equipment conditions, early warning reminding and inspection area distribution;

the daily office management comprises work schedule arrangement, mail receiving and sending, business card management, system messages, work logs, file storage, personal data setting and message reminding.

The supplier-side data acquisition center comprises order information, planned scheduling, production process information, delivery test information, technical design, material management and incoming inspection information; the order information comprises a project information management center; the planned scheduling comprises an MES system; the production process information comprises production process data acquisition service and a production video collector, and the production video collector is provided with a hard disk recorder; the factory test information comprises a factory test monitoring module and a test video collector, and the test video collector is provided with a hard disk recorder; the technical design comprises technical drawing document management; the material management comprises material ERP; the goods input inspection information comprises a goods input test monitoring module and a test video collector, and the test video collector is connected with a hard disk recorder; the hard disk recorders are all connected with a cloud platform;

the supplier side data acquisition center is connected with a database;

the supplier side data acquisition centers are arranged into a plurality of cloud intelligence manufacturing management platforms which are all connected through edge Internet of things agents.

A cloud intelligent platform processing method based on an artificial intelligence production management mode comprises the following steps:

s1, the cloud intelligent manufacturing management platform issues order information to each supplier, the supplier receives the order information, plan production scheduling of automatic orders is carried out through the built supplier side data acquisition center, a production period is given, and after the production period is confirmed, the order information is issued to the design management module, the purchase management module, the production management module and the quality management module;

s2, after receiving the task, the design management module automatically screens the graph documents, has the same design scheme and imports ERP by itself; similar schemes are not provided for designers receiving tasks to design, and are not the same as the similar schemes;

s3, after the materials enter ERP, the warehouse will identify and lock the materials in stock, and export a bill of materials to be purchased, after confirmation, the downstream supplier will receive order information, and the upstream client will check the stock and price information of the downstream supplier, and determine the cooperative supplier according to the optimal purchasing method;

s4, after the cooperation supplier finishes delivery, the cooperation supplier enters into delivery inspection, the delivery inspection is carried out according to the material attribute and the inspection mode, the inspected data and video are identified, the abnormal data are uploaded to the cloud platform, meanwhile, the supplier receives the related information, the video data are stored locally and can be read from the cloud platform, and the upstream customer can also call the test process of the downstream supplier and compare the parameters;

s5, when the materials and the drawings are complete, the production link is started, key processes are recorded, the collected data are subjected to artificial intelligent identification with the aid of detection equipment, the collected data are directly transmitted downwards, unqualified abnormal data are uploaded, and videos are stored;

s6, in the factory inspection link, according to the detection sequence, the inspection is carried out, the acquired data are subjected to artificial intelligence recognition, the qualified data are directly transmitted downwards, the unqualified abnormal data are uploaded, and the video is stored;

and S7, judging whether the data is qualified or not according to the data result after all the execution is finished, storing the data, and calling the content for technical support when the upstream client needs the technical support.

One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

in order to solve the change of a production mode of an industry, a set of production management mode system with unified standards is built on a cloud platform, an industry manufacturer is allowed to register for use, the manufacturer is guided to change the previous mode according to the requirement of system lapping business, production processes, sensing equipment and data collection are arranged according to the standard mode, the downstream data are classified through artificial intelligence judgment, normal data are stored on the spot, abnormal data are stored at the cloud end, the redundancy and the rigidness of the collected data are solved, data searching and analysis are facilitated, meanwhile, the interchangeability of the data is convenient and fast, real upstream and downstream data sharing is achieved, the real-time correctness of supply chain data is achieved, in addition, videos during actual manufacturing can be obtained through the cloud intelligence platform, and good technical data storage is laid for online technical support and quality tracing.

Cloud intelligent platform: the core platform, the data background and the exchange center simultaneously remove the localization construction, promote the unification of industry application, and get through the upstream and downstream data transmission.

Artificial intelligence: in the production process, the automatic data acquisition work is carried out from the steps of feeding, part processing, finished product processing, delivery inspection and the like; countless data can be collected in the process, and if the data are only evaluated manually, the real utilization rate of the data is obviously insufficient; and (3) evaluation based on artificial intelligence: the conventional single data comparison format is changed, the abstract pattern recognition is learned and upgraded by adopting an artificial intelligence method, feature point recognition is searched, and meanwhile, the detected results are classified, so that no problem is automatically transferred to the next procedure, the problem is subjected to fault grading and distinguishing, and meanwhile, fault data are remotely transmitted. The cloud intelligence building platform can not be used in a large scale, the utilization rate of data must be solved, and the artificial intelligence solves the problem of data utilization.

The production management mode is not limited to the conventional production and manufacturing stage, but only focusing on this stage can not really solve the fundamental problem, and the front end and the back end are often affected by the production, such as: the production mode is that an upstream customer sends an order, the order is transmitted to a downstream data acquisition center through a professional transmission channel, and the order is processed through the processes of production manufacturing, quality inspection and later maintenance through project information, plan scheduling, design and material management lapped by a downstream supplier.

The collected data are analyzed through artificial intelligence, normal video data are stored on the spot, abnormal data are uploaded to the cloud, the cloud can also remotely check the normal data, the uploaded data are prevented from being too large, and the data are prevented from being invalid.

Drawings

Fig. 1 is a framework diagram of a cloud intelligence building management platform according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.

Example one

Firstly, a cloud platform is set up, the cloud platform comprises a network, a security, a database, middleware, a technical support component and the like, cloud intelligence creation management platforms of different industries are contained in the cloud platform, the application of the cloud intelligence creation management platform is arranged and solidified according to the industrial characteristics, N enterprise middlings are arranged on the cloud intelligence creation management platform (each resident enterprise is an enterprise middling), the enterprise middlings are divided into a business middling and a data middling, the business middling provides important service application and is a public service platform, for example, the business application required by an artificial intelligence production mode solidified on the business middlings is: order monitoring, intelligent monitoring, quality evaluation, supplier cooperation, industry standard alignment, online support, capacity allocation and the like; the data center station provides data analysis capability through data uploaded by the business center station, helps to learn improvement and adjust direction from the data, and provides support capability for enterprise development. The service center station and the data center station are separated databases from the safety perspective, and can realize necessary data interaction through an information network safety isolation device.

The cloud intelligence production management platform comprises basic modules such as connection management, information management and equipment management, wherein the equipment management module is used for inputting and managing the equipment of an enterprise after the enterprise is resident on the platform, the production capacity of the enterprise can be planned through equipment management and control, the management and control of a production process and the collection work of intelligence production data can be realized, and meanwhile, the maintenance of the equipment can be managed. The information management module refers to enterprise architecture information, project order information and the like, and can establish an enterprise organization architecture model through architecture information management to lay a foundation for platform operation; the project order information management refers to a management module for whole order information circulation from the time of receiving project information input, dispatching projects, executing projects and finishing projects. The connection management module refers to flow management, how to circulate among modules, rule setting of circulation and rule setting of upper and lower signatures.

The cloud platform comprises a network, a security database, a middleware, a technical support component and the like, wherein the network refers to the Internet, and the platform is built at the cloud end and is transmitted through the Internet; the safety means that data is encrypted and transmitted safely and reliably through an internet and an encryption communication channel. The database is used for storing collected data, video data are stored in the local database, other data are stored in the cloud, but the cloud and intelligent platform are distinguished, and necessary data interaction can be achieved through the information network safety isolation device. The middleware refers to an intermediate interface for processing data acquired at the front end and data at the back end, such as order monitoring, intelligent monitoring, quality evaluation, supplier cooperation, industry standard alignment, online support, capacity allocation and the like of a service platform. The technical support component is a new sensing technology used for collecting data at the front end, and the data collection is rapid and effective through the implantation of the new technology.

So-called order monitoring: tracking the whole manufacturing process of the product by taking a customer purchase order and the affiliated project information as a main line, wherein the whole manufacturing process comprises the following steps: the method comprises the steps of purchasing orders and affiliated items at a client side, selling orders, production work orders, production process monitoring and control information, delivery test information and the like at a supplier side, and the visual and analyzable and real-time inquired production tracks of the orders are achieved. For quality problems and the like in the manufacturing process, the client side and manufacturers can find, solve and trace the problems in time.

So-called intelligent supervision: the production state data, the industrial control data, the video monitoring data and the equipment detection data of the production line are acquired in real time through the cloud intelligence building platform function, so that the production and inspection processes are monitored in real time; the real-time data of the production process of different types of equipment is logically solidified, the production dead pixels are automatically analyzed through the system, and the production data (including video data) before and after the dead pixels can be automatically intercepted and archived to be checked at the same time of early warning.

Quality evaluation: the production process data, the process and process data, the production equipment product data and the IT system data are collected and analyzed, and the process of a manufacturer are evaluated by utilizing a professional product quality evaluation model prefabricated in the system. And feeding back the found problems to the relevant personnel for reference.

So-called industry benchmarking: the artificial intelligence analyzes the data collected by all suppliers through the online cloud platform, and performs multi-dimensional comparison analysis on the production capacity, detection capacity and service level of different suppliers, so that a benchmarking index model of the industry can be established, the index evaluation of the industry is not limited to internal suppliers, and the overall promotion of the industry is promoted.

So-called vendor collaboration: information such as delivery time expectation, installation and debugging, equipment operation, manufacturer evaluation and the like is fed back to a manufacturer in time, timeliness of project delivery and performance is improved, equipment fault and defect initiation, progress solving and processing results are tracked in real time, and support is provided for supplier performance cooperation.

Capacity allocation: the goods and materials management department acquires inventory information in an ERP system of a supplier and scheduling information in an MES system in real time, tracks and analyzes the productivity information of the supplier, such as the production saturation of equipment with multiple products and multiple types, the production period of the products, the reasonable supply period, the delivery plan, the delivery progress and the like, adjusts and optimizes the delivery plan of the project and the delivery plan of the supplier, and realizes the deep visual two-way cooperation of the project plan allocation of the user and the production energy allocation of the supplier.

So-called online support: when the technical problems and equipment faults which cannot be solved, such as equipment model inconsistency, product size deviation, equipment operation defects and the like, occur in the processes of spot check, installation and debugging, operation check and operation and maintenance of a user, field personnel can apply online support to technical experts (users and suppliers), the technical experts carry out remote problem diagnosis and analysis, remote guidance and support are provided through modes of videos, audios and the like, and quality and service problems are tracked and traced.

The cloud intelligence manufacturing management platform takes the whole network interconnection sharing of the electrician equipment manufacturing industry data as a core, and realizes intelligent sensing, cooperative interaction, sharing convergence and analysis application of the electrician equipment supplier internet of things data and service data by using new technologies such as big data, cloud computing, internet of things, artificial intelligence and the like.

And secondly, establishing a safe encrypted data transmission channel (edge data transfer agent), and realizing safe and reliable data transmission between the cloud platform and downstream customers by carrying a safe chip or a software encryption mode.

And thirdly, configuring an edge Internet of things agent at each client at each downstream client, accessing the edge Internet of things agents into a data acquisition center in a wired mode, and acquiring, processing and transmitting production data, test data and video data to a cloud intelligent manufacturing management platform aiming at different typical configurations on the basis of unifying functions, effects and scene structures.

Then, at the customer department, overlap a set of with cloud platform's the standardized data acquisition center that corresponds, be based on artificial intelligence's production mode, divide into: the system comprises a system module, a project management module, a plan scheduling module, a design management module, a material management module, a production management module, a quality management module and a schedule office module.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the invention

With clear spirit and scope. 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

1. The cloud intelligence creation platform based on the artificial intelligence production management mode is characterized by comprising a system framework, a supplier side data acquisition center, an edge data transmission agent, an edge Internet of things agent, a cloud intelligence creation management platform and a cloud platform.

2. The cloud intelligence development platform based on the artificial intelligence production management mode as claimed in claim 1, wherein the cloud intelligence development management platform is connected with a cloud platform, and the application of the cloud intelligence development management platform can be arranged and cured according to industry characteristics;

3. The cloud platform based on artificial intelligence production management model as claimed in claim 2, wherein said cloud platform comprises network, security, database, middleware, technical support components;

4. The cloud intelligence platform based on artificial intelligence production management mode as claimed in claim 1, wherein the edge internet of things agent is delivered through internet, communication protocol MQTT, data format: JSON/XML/binary, bidirectional flow, real-time transmission; the system is connected to a data acquisition center in a wired mode, and on the basis of unifying functions, effects and scene structures, the acquisition, processing and transmission of production data, test data and video data to a cloud intelligent manufacturing management platform are achieved according to different typical configurations.

5. The cloud intelligence production management mode-based cloud intelligence manufacturing platform as claimed in claim 1, wherein the edge data transfer agent is a secure encrypted data transmission channel, and secure and reliable data transmission between the cloud platform and downstream customers is realized by carrying a secure chip or a software encryption mode.

6. The cloud intelligent production management mode-based cloud intelligent platform as claimed in claim 1, wherein the system framework comprises a system management module, a project management module, a plan scheduling module, a design management module, a purchase management module, a warehousing management module, a production management module, a quality management module and a schedule office module;

7. The cloud intelligent production management mode-based cloud intelligent production platform as claimed in claim 1, wherein the supplier-side data collection center comprises order information, planned scheduling, production process information, factory test information, technical design, material management and incoming inspection information; the order information comprises a project information management center; the planned scheduling comprises an MES system; the production process information comprises production process data acquisition service and a production video collector, and the production video collector is provided with a hard disk recorder; the factory test information comprises a factory test monitoring module and a test video collector, and the test video collector is provided with a hard disk recorder; the technical design comprises technical drawing document management; the material management comprises material ERP; the goods input inspection information comprises a goods input test monitoring module and a test video collector, and the test video collector is connected with a hard disk recorder; the hard disk recorders are all connected with a cloud platform;

the supplier side data acquisition center is connected with a database;

8. A cloud intelligent platform processing method based on an artificial intelligence production management mode is characterized by comprising the following steps: