CN114581133A - Market promotion method for industrial internet enterprise data - Google Patents
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Abstract
The invention discloses a market promotion method of industrial internet enterprise data, which comprises the steps of obtaining relevant information data of a product full life cycle; storing and managing the acquired data; constructing an enterprise-level identification analysis system, and generating a product unique identity authentication identification code for a product; the user purchases the product and evaluates the product according to the relevant information of the product whole life cycle; according to the relevant information of the product life cycle, the following optimization is carried out on the enterprise: by the invention, the user can purchase the product and evaluate the product; the enterprise or the enterprise obtains suggestions of supply ecological chain optimization, production ecological chain optimization, quality inspection ecological chain optimization, storage ecological chain optimization, transportation ecological chain optimization, sale ecological chain optimization, after-sale service ecological chain optimization and the like, so that the enterprise cost is reduced, the quality and quantity guarantee is achieved, the enterprise market competitiveness is increased, and the enterprise risk is reduced.
Description
Technical Field
The invention relates to the technical field of industrial internet information, in particular to a market popularization method for industrial internet enterprise data.
Background
The global wave of economy is rolling the world and is transitioning to intelligent economy, and the information industry is increasingly becoming the leading factor of modern economy. With the continuous development of international market integration, information technology integration and resource networking, enterprises need to adapt to global intense market competition and gain initiative of the market competition, and the progress of enterprise informatization construction needs to be accelerated.
The fierce market competition is not only product competition, but also enterprise product comprehensive competition, covers the whole life cycle of the product, and comprises product incubation period (product demand formation, product planning and design), production period (raw material selection, preparation, product production, assembly and quality inspection), storage, transportation and sales period (storage, packaging, transportation, sales, installation and scheduling), after-sales service and the like, and also comprises potential competition among enterprises, including enterprise qualification, integrity, reputation and credit.
How can one keep steady growth in the global intense market competition? The scientific planning is needed, the information management construction of industrial internet enterprises is strengthened, the life, death, survival and development of the enterprises are concerned, and the scientific and effective production and management are the important basis of the survival and development of modern enterprises. .
The essence of enterprise management is to master, control and effectively utilize information, and the accuracy, comprehensiveness and multiple dimensions of statistical data have great influence on making major decisions for enterprises. How an enterprise acquires and acquires data from different environments and different service systems in use, and completes a series of data processing to form the data value of the enterprise; and how to associate the data to form the life-wide ecological chain data of the product, provide data support for product popularization, and realize optimization of the product ecological chain, and is a desire appeal for informatization construction of enterprises all the time.
In the prior art, product sources are mostly published through two-dimensional codes, and the product ecological chain is not optimized based on product information; and many functional deficiencies exist in the use of users and businesses.
Therefore, there is a need to develop a marketing method for industrial internet enterprise data to solve the above problems.
Disclosure of Invention
The invention aims to solve the problems and designs a market promotion method for industrial internet enterprise data.
The invention realizes the purpose through the following technical scheme:
the industrial Internet enterprise data marketing method comprises the following steps:
s1, acquiring relevant information data of the product whole life cycle;
s2, respectively storing the acquired data into an industrial internet data set warehouse according to different types of the data;
s3, performing data governance on the product data in the industrial Internet data set warehouse, and forming a data chain by the product data subjected to data governance to form an industrial enterprise data chain;
s4, storing the data of the industrial enterprise data chain into an industrial Internet data chain warehouse pool in a classified manner, and providing data support for subsequent data service, enterprise users and user service;
s5, butting the formed industrial enterprise data link data with an industrial Internet identification code analysis system platform, constructing an enterprise-level identification analysis system, and generating a product unique identification authentication identification code for the product;
s6, generating a two-dimensional and three-dimensional identity code according to the unique identity authentication identification code of the product, and printing the code on the product by the enterprise to form the unique identification of the product; the unique identification is used for identifying the relevant information data of the product whole life cycle by enterprises and users through inquiry and code scanning;
and S7, purchasing the product and evaluating the product by the user according to the relevant information of the product full life cycle.
Specifically, in step S1, the product full-life cycle related information data includes:
all product information provided outside in the product life cycle; the method comprises the steps of obtaining product incubation period information, production period information, storage, transportation and sale period information and after-sale service information;
information about the product-related business; including information and qualification information of various enterprises such as raw material suppliers, manufacturers, storage suppliers, carriers, distributors, and after-sales suppliers.
Product evaluation information; including information on the evaluation of the product; the evaluation information is user evaluation information after purchasing a product;
product approval and promotion information; the information is the praise information of the user for the product after purchasing the product;
black list information;
an authoritative enterprise official website;
an authoritative enterprise official shopping platform.
Specifically, the product incubation period information comprises product demand formation information, product planning information and design information; the production period information comprises raw material selection information, preparation information, product production information, assembly information and quality inspection information; the storage, transportation and sales period information comprises storage information, packaging information, transportation information, sales information and installation scheduling information; the after-sales service information includes record information and comment information.
Specifically, in step S2, the different types of data include structured data, unstructured data, and file data.
Specifically, in step S3, the data governance includes cleaning, governance, auditing, rule validation, and association analysis.
Specifically, the marketing method further includes step S8, according to the information related to the product life cycle, performing the following optimization on the enterprise:
optimizing a supply ecological chain; according to the supplier information, sending first supplier preference information and early warning information to the enterprise; the supplier information comprises supplier qualification information, risk information, quotation information, contact information, supply mode and supply quantity information;
optimizing a production ecological chain; sending second supplier preference information to enterprises according to raw material classification information, raw material management information, raw material storage information, production plan information, production order information, production human resource requirement information, cost control information, material loss information, rejection rate information, production responsible person information, production process information and process requirement information;
optimizing a quality inspection ecological chain; according to the production information, the quality inspection information, the storage information, the transportation information, the sales information, the after-sales service information and the set threshold value information of the product; sending alarm information to an enterprise;
optimizing a storage ecological chain; sending storage suggestion information to enterprises according to the storage information, the production information, the sales information and the transportation information of the products;
optimizing a transportation ecological chain; according to the data information of the transportation service provider, the transportation task information, the information of the transported goods, the production task information and the order information, the transportation scheduling information is sent to the enterprise; sending route information to enterprises according to the geographic information and the transportation information; sending transportation early warning information to enterprises according to transportation live data information, production information, sales information and storage information;
optimizing a sale ecological chain; sending sales suggestion information to enterprises according to the sales and storage information, the production information, the transportation information and the after-sales service information;
optimizing an after-sale service ecological chain; and sending service resource suggestion information to enterprises according to the sales information, the after-sales service staff information, the current staff information and the maintenance material information.
The invention has the beneficial effects that:
1. through the application, the user can purchase the product and evaluate the product; the enterprise obtains suggestions of supply ecological chain optimization, production ecological chain optimization, quality inspection ecological chain optimization, storage ecological chain optimization, transportation ecological chain optimization, sales ecological chain optimization, after-sales service ecological chain optimization and the like, so that the enterprise cost is reduced, the quality and quantity are guaranteed, the enterprise market competitiveness is increased, and the enterprise risk is reduced.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a functional block diagram of the present invention;
FIG. 3 is a flowchart of a product purchasing client;
FIG. 4 is an enterprise user flow diagram of the present invention;
FIG. 5 is an exemplary diagram of a purchasing client application scenario in accordance with the present invention;
FIG. 6 is an exemplary diagram of an enterprise user application scenario in accordance with the present invention;
FIG. 7 is a diagram of a distributed deployment architecture;
fig. 8 is a diagram of a distributed communication architecture.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "inner", "outer", "left", "right", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings, or orientations or positional relationships conventionally placed when the product of the present invention is used, or orientations or positional relationships conventionally understood by those skilled in the art, which are merely for convenience of description and simplification of description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore, should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is also to be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" are to be interpreted broadly, and for example, "connected" may be a fixed connection, a detachable connection, or an integral connection; can be mechanically or electrically connected; the connection may be direct or indirect via an intermediate medium, and may be a communication between the two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The following detailed description of embodiments of the invention refers to the accompanying drawings.
As shown in fig. 1, the method for marketing industrial internet enterprise data includes:
s1, acquiring relevant information data of the product whole life cycle; the product full life cycle related information data comprises: all product information provided outside in the product life cycle; the method comprises the steps of obtaining product incubation period information, production period information, storage, transportation and sale period information and after-sale service information; the product incubation period information comprises product demand formation information, product planning information and design information; the production period information comprises raw material selection information, preparation information, product production information, assembly information and quality inspection information; the storage, transportation and sales period information comprises storage information, packaging information, transportation information, sales information and installation scheduling information; the after-sale service information comprises recorded information and comment information; information about the product-related business; the method comprises the following steps of (1) including information and qualification information of various enterprises such as raw material suppliers, manufacturers, storage suppliers, carriers, sellers and after-sales suppliers; product evaluation information; including information on the evaluation of the product; the evaluation information is user evaluation information after purchasing a product; product approval and promotion information; the information is the praise information of the user for the product after purchasing the product; black list information; an authoritative enterprise official website; an authoritative enterprise official shopping platform.
S2, respectively storing the acquired data into an industrial Internet data set warehouse according to different types of the data; the different types of data comprise structured data, unstructured data and file data; the data acquisition is divided into manual and timing tasks for automatic acquisition, and S2 is repeated for multiple times;
s3, performing data governance on the product data in the industrial Internet data set warehouse, and forming a data chain by the product data subjected to data governance to form an industrial enterprise data chain; the data management comprises cleaning, management, auditing, rule validation and association analysis;
s4, storing the data of the industrial enterprise data chain into an industrial Internet data chain warehouse pool in a classified manner, and providing data support for subsequent data service, enterprise users and user service;
s5, butting the formed industrial enterprise data link data with an industrial Internet identification code analysis system platform, constructing an enterprise-level identification analysis system, and generating a product unique identification authentication identification code for the product;
s6, generating a two-dimensional and three-dimensional identity code according to the unique identity authentication identification code of the product, and printing the code on the product by the enterprise to form the unique identification of the product; the unique identification is used for identifying the relevant information data of the product whole life cycle by enterprises and users through inquiry and code scanning;
and S7, purchasing the product and evaluating the product by the user according to the relevant information of the product full life cycle.
The main use scenarios are:
the user can inquire the relevant authority information of the product through the platform, and can also realize the look-up of the product by scanning the identification code printed on the product. The information that can be consulted includes:
1) all the product information provided outside in the life cycle of the product comprises the product inoculation period (product demand formation, product planning and design), the production period (raw material selection, preparation, product production, assembly and quality inspection), the storage, transportation and sales period (storage, packaging, transportation, sales, installation and scheduling), the after-sales service (record and comment) and other information related to the product.
2) Meanwhile, the information of the related enterprises of the product can be checked, including the information and qualification information of the enterprises such as raw material suppliers, manufacturers, storage suppliers, carriers, sellers and after-sales suppliers.
3) And product evaluation: the user can provide evaluation service for the product, the tourist can check the evaluation, any third party can not delete the evaluation, only records and check the evaluation, the fairness, the justness and the credibility of the evaluation are kept, and the sensitive words are filtered.
4) Product and service approval and promotion: the user can like to the product and the service, and can promote to the WeChat friend circle, WeChat microblog, etc., increase enterprise product promotion.
5) Authoritative enterprise official website: the enterprise publishes the real official website and the contact way of the enterprise to the platform, thereby providing authoritative and correct service for the majority of users and potential users, protecting the majority of users from being cheated by various cheating information on the Internet, ensuring the legal rights and interests of the enterprise and individuals, and reducing the illegal crimes of the society. When a user determines to buy a certain product according to the product information and the enterprise information of an enterprise, the user can directly contact and buy the product on the official website of the related enterprise.
6) Authoritative enterprise official shopping platform: when the user feels that the product produced by the enterprise is good, the potential user or the user wants to buy the product again, the authoritative official shopping platform of the product can be checked in the product by directly scanning the identification code on the product, and the user can be relieved to buy the genuine products and services with low quality and low price without worrying about cheating or buying unofficial products and services.
S8, according to the relevant information of the product life cycle, carrying out the following optimization on the enterprise:
optimizing a supply ecological chain; according to the supplier information, sending first supplier preference information and early warning information to the enterprise; the supplier information comprises supplier qualification information, risk information, quotation information, contact information, supply mode and supply quantity information; in some embodiments, supplier information, potential suppliers and raw material information of the industrial internet enterprises are monitored, raw material information in the production process is monitored, and optimization of the supply ecological chain is achieved. Meanwhile, an early warning mechanism is provided, and when the supplier has industrial and commercial credit risk, legal dispute and supply risk, the early warning is automatically carried out.
1. Intelligent provisioning information matching mechanism: the invention can automatically match corresponding supplier enterprises according to the core key points of raw materials required by production and the set key threshold values, provide an optimal solution, and provide suggestions and risk points, thereby reducing the production risk and the secondary delivery risk of the enterprises.
The system comprises a data source industrial enterprise production system, a supplier management system, an industrial internet supply and demand platform, a supplier network, a credit platform and the like. The method has the advantages that the influence on enterprise judgment and normal production of the enterprise caused by the influence on the enterprise judgment of the same raw material due to different quotations, regional distinction, quality distinction, supply modes, supply quantity and the like is avoided.
2. Vendor warning mechanism: the invention can carry out timing inspection on the existing data supply information and automatically early warn according to the set early warning threshold value. Meanwhile, the system is in butt joint with an industrial and commercial information system, and the risk of industrial and commercial credit of a supplier is automatically warned.
The specific technology is realized by automatically clustering, classifying and associating the process data of the supply chain through the packaging of a cluster analysis and related analysis algorithm and multi-round iterative analysis, automatically detecting the data exceeding the threshold value according to a key threshold value set by an enterprise in a self-defined way, then sending early warning information to related responsible persons through an early warning mechanism, and automatically isolating and singly taking out the data exceeding the threshold value for later-stage tracking.
For example flour based supplier ecochain optimization: the method comprises the steps of acquiring flour supplier information from an industrial enterprise production system, a supplier management system, an industrial internet supply and demand platform, a supplier network and a credit platform, clustering, classifying and associating the data according to different types through the packaging of clustering analysis and related analysis algorithms, associating the system data to form a data chain, and when core thresholds such as over-high price report of a supplier, credit problem, illegal industry and quality problem appear, the system can give an early warning in a supplier list to inform the enterprise that the suppliers have problems and propose that the suppliers do not give priority to consideration. Thereby reducing enterprise risk. Meanwhile, the invention recommends the most possible suppliers through the weight algorithm according to a series of weights (the weight is defined by the enterprise) such as the checking times, the consultation times, the cooperation times, the evaluation, the credit evaluation and the like through the recommendation algorithm, thereby greatly reducing the time and labor cost of the enterprise on the suppliers.
Optimizing a production ecological chain; sending second supplier preference information to enterprises according to raw material classification information, raw material management information, raw material storage information, production plan information, production order information, production human resource requirement information, cost control information, material loss information, rejection rate information, production leader information, production process information and process requirement information; in some embodiments, production flow monitoring may be performed: the production process and the flow direction can be automatically analyzed according to the data flow direction and the setting, the production process model is automatically established, each link of a real production link is simulated, the production link flow is checked and examined, relevant problems in the production process can be automatically analyzed according to relevant threshold values of key monitoring, the optimization focus on the production process layer is provided for industrial enterprises, and optimization suggestions are provided for the enterprises. For example: a bread production process generally requires the completion of the following processes: production planning, material weighing, material pouring, stirring, fermentation, baking, quality detection, heat dissipation, cooling, packaging and the like. After the process optimization modeling, the whole process condition of the process can be seen at a glance, and basically no problem exists. However, when the refinement of the monitoring data and the setting of the threshold values of the processes are performed, it is time-consuming for the relevant processes according to the data provided in the relevant systems in the production, and it is found that the time consumption is long in the material weighing loop, and it is necessary to weigh how many raw materials are required for different raw materials of the product according to the corresponding recipes of the different products, which is time-consuming. By setting a threshold value, the system prompts the enterprise to optimize and give an optimization solution suggestion at the block.
Optimizing the production flow: according to the checking and auditing of the production ecological chain flow model, an enterprise can judge where a problem point is according to data conditions and actual self conditions, and can make a more detailed optimization scheme, try to optimize the actual production flow and adjust an optimal production flow mode. Therefore, the production cost of enterprises is reduced, and meanwhile, the production task is finished with quality and quantity guarantee.
A very intuitive example: at present, a plurality of large bread production enterprises can independently weigh the materials, one is to protect the core competitiveness of the enterprises, and the other is to reduce the production time of the products of the enterprises, thereby reducing the production cost. More there are some large-scale manufacturing enterprises, divide into four bold to whole flow, and the batching is managed the batching, and production only produces, and the cool cold, packing of heat dissipation divide into the packing, lets less people do more things in less time like this to the human cost has been practiced thrift greatly.
Optimizing production raw materials: the service provided by the invention can conveniently and visually check the material condition, the supplier condition, the product superiority and inferiority, the purchasing responsible person and the purchasing price, and simultaneously, the automatic matching function provides the supplier comparison service of the raw material, so that several suppliers corresponding to the material at present and the superiority and inferiority of the suppliers can be found. Similar raw materials can be analyzed through parameter setting such as function, performance, specification and the like, and the raw materials can be replaced with higher quality.
Optimizing a quality inspection ecological chain; according to the production information, the quality inspection information, the storage information, the transportation information, the sales information, the after-sales service information and the set threshold value information of the product; sending alarm information to an enterprise; in some embodiments, in the production process, quality detection personnel can not be used for detecting in a production factory in real time, and also can not be used for checking in the storage process, the transportation process and the sales process, only the checking human resources are required to be put at related key points for checking, the checking personnel can carry out spot check on the checking process through the automatic checking condition of the system, the quality checking is ensured to be controllable, checkable and traceable, so that the manpower and material resources can be greatly saved, the quality is guaranteed, the enterprise risk and the cost can be reduced, and the production process has multiple purposes.
Optimizing a storage ecological chain; sending storage suggestion information to enterprises according to the storage information, the production information, the sales information and the transportation information of the products; in some embodiments, storage ecochain optimization includes smart storage monitoring, smart routing inspection, warehousing optimization. 1. The intelligent storage monitoring is that data of a purchase, sale and storage system, a production system, a sales system, a transportation system and the like are analyzed, and the data are clustered and classified to form a data chain automatically through repeated iterative classification inspection (clustering analysis and packaging of related analysis algorithms). And then, the platform automatically monitors the whole storage ecological chain by setting a monitoring threshold value. And automatically giving an early warning prompt according to the production task and the threshold value of the production system. Such as insufficient storage, raw materials that need to be purchased, days that can still be spent, etc., critical information. And automatically offer solutions (based on the supply chain optimization service, automatically propose the optimal supplier optimization solution, i.e., from which purchase is best). And the stored process monitoring data is associated with the product in the storage process, and the stored process data corresponding to the product can be checked through the product identification identity code. Such as when the product is stored, which inspection is stored daily, where it is placed, what temperature and humidity are at that time, who the responsible inventory person is, etc. 2. The intelligent inspection is to regularly check data of related systems in a storage (storage) ecological chain, check abnormal conditions and the like, and provide alarm processing. The warehousing optimization is to provide an optimal storage (warehousing) mechanism through a storage (warehousing) model according to the storage (warehousing) related information, so that the risk and the cost on the storage (warehousing) of the industrial enterprise are reduced. For example: through the association to the product identification ID code, can look over the supply of product, production, quality control information, just can know very easily that the product that produces has how much, the last output of predicting every day, how much will store every day, how much current warehouse stores, through weight setting, just can very clear obtain: the storage and storage method has the advantages that products can be stored in the storage, stored when, stored for a long time, stored in the storage, managed, stored and avoided, the storage area is large, the storage can meet requirements, the storage is recently stored, and the like, storage and storage are maximally utilized, so that the storage (storage) ecological chain is optimized, and waste of resources and cost is avoided. The conditions that the warehouse is not enough, the warehouse can not be stored, the warehouse can not be used temporarily, the product is transported to a far warehouse and the like when the product is transported to the warehouse are avoided.
Optimizing a transportation ecological chain; according to the data information of the transportation service provider, the transportation task information, the information of the transported goods, the production task information and the order information, the transportation scheduling information is sent to the enterprise; sending route information to enterprises according to the geographic information and the transportation information; sending transportation early warning information to enterprises according to transportation live data information, production information, sales information and storage information; in some embodiments, optimization of the transportation ecological chain is achieved by combining a geographic information platform and an industrial internet geographic information platform to communicate with transportation-related system data. The specific functional items include:
1. intelligent transportation scheduling service: according to the data of the transportation service providers, the transportation tasks, the information of the transported goods, the information of the production tasks in the production system, the order information of the sales system and the like, the high-quality transportation service providers are automatically analyzed from the data of the transportation service providers by setting the attention points of the transported goods. Meanwhile, the optimal scheduling task is analyzed according to the transportation task condition, and an optimal transportation scheduling scheme is provided for industrial enterprises.
2. Analyzing an optimal transportation route: by combining the map route service provided by the geographic information platform and the industrial internet geographic information platform, an internet map service interface can be called, parameters can be transferred, and the optimal transportation route service can be provided.
3. And (4) transportation early warning: according to the transportation live data in the transportation system, the transportation live early warning is realized by combining the butt joint of system data such as a production system, a sales system, a storage (warehousing) system and the like. For example, if an order in the sales system requires 3 days of shipment, otherwise legal risks are caused, the invention provides early warning according to real-time supervision data and informs a responsible person of the relevant node to pay attention to the time risks.
Optimizing a sale ecological chain; sending sale suggestion information to enterprises according to the sale and storage information, the production information, the transportation information and the after-sale service information; in some embodiments, thresholds (e.g., expiration threshold, stock excess or deficiency threshold, temperature threshold, capital limit threshold, complaint amount threshold, etc.) and data link data are set, and matching is performed by the cache clustering technology through the LRU algorithm and the LFU algorithm, so that which commodities can be discounted for sale, which commodities can be stored once, which commodities are about to be out of stock, etc. can be analyzed. When any link has a problem, the problem can be found visually. For example: the people complain about the sold things and do not go to process the things; some kind of goods are in short stock; a certain class of goods is soon out of date; some kind of goods are produced insufficiently, may need to be sold in limited quantity, etc. The improvement and development of upstream and downstream enterprise services are promoted from a sales end, so that the product and service capability is better provided for customers, and the brand image and the brightness of the enterprise are improved.
Optimizing an after-sale service ecological chain; and sending service resource suggestion information to the enterprise according to the sales information, the after-sales service staff information, the current staff information and the maintenance material information. In some embodiments, the current sales situation, the after-sales resource situation (the after-sales service staff situation, the current staff situation, the maintenance material situation), etc. can be visually seen through the present invention. When the sales is exploded, the after-sales department can intuitively sell the products which are exploded, corresponding service resources (such as service personnel, maintenance personnel and maintenance materials) are prepared aiming at visiting the products to deal with the after-sales problems, and therefore user experience is improved.
As shown in fig. 2, there is shown a marketing platform adopting the marketing method of the present application, including:
first, data access layer: and finishing the processing work of the data source. The system is used for accessing the existing application systems of the industrial enterprises (the systems exist in different heterogeneous environments, including CS and BS architectures, and industrial application systems running in the environment of a local area network or a physical machine and the like). The feasibility of a data access layer is solved by means of cross-region, business and system data service middleware and a data verification method which are invented by the center of China. For example: different application management systems can be used for finishing different requirements of an industrial enterprise from product inoculation to production, quality inspection, storage, transportation, sale, after-sale service and the like, and the data access layer can acquire related information of the product from different applications in different environments at different stages, so that data support work is performed on a product data ecological chain at a later stage.
Secondly, a data storage layer: storing different types, structured and unstructured data acquired by the data access layer into an industrial internet data set warehouse, and waiting for the data intelligent management layer to intelligently manage the data. The industrial internet data set warehouse cluster comprises: mysql cluster (2 Master +3 Slave read-write separation), mongdb cluster (1 Master, 11 Slave) and fastDFS cluster (3: 3 groups, 3Tracker Server, 1 nginx) to store these different types of structured, unstructured data.
Thirdly, a data intelligent layer: and completing the establishment of an industrial enterprise data link system to form legal and effective data. And carrying out data intelligence on the acquired data, including intelligent data cleaning, treatment, auditing, rule validation, association analysis and the like, forming a data chain by the data, forming an industrial enterprise data chain, and forming a data-level identification data chain system.
Fourthly, industrial internet data chain warehouse pool: and storing the effective data after the data is intelligently managed into a data warehouse pool of the industrial enterprise to effectively support the data for subsequent work. Industry internet data chain warehouse pond includes: mysql cluster (2 Master +3 Slave read-write separation), mongdb cluster (1 Master, 11 Slave) and fastDFS cluster (3: 3 groups, 3Tracker Server, 1 nginx) to store these different types of structured, unstructured data.
Fifthly, an identification code system access layer: and finishing the establishment of the industrial internet identification analysis system. By establishing an enterprise-level node identification analysis system and simultaneously butting with a national identification analysis system, the communication between enterprise-level nodes and national top-level nodes is realized. Forming an object code, and generating a standard identification code from the effective industrial enterprise data link data processed by the data intelligent layer; meanwhile, related data are shared and pushed to a secondary node of the metro identifier analysis platform, so that the connection with a national identifier analysis system is realized. Generating a corresponding product two-dimensional and three-dimensional identification code for the product according to the identification code, and providing service for subsequent product popularization; the identity authentication of industrial internet enterprises is formed, and the legal rights and interests of the enterprises and the legal rights and interests of the products are guaranteed.
Sixth, the expression layer: and analyzing the data in the industrial internet data chain warehouse pool, and finishing different expression processing of the data according to different roles of the user. Therefore, a popularization platform is provided for industrial enterprises, the popularization difficulty and cost of products of the industrial enterprises are reduced, the product and resource searching cost and trial and error cost of users are reduced, a mutual trust mechanism is built on a user side and an enterprise side, and economic development is promoted.
One), external use users: the user can inquire the relevant authority information of the product through the platform, and can also realize the look-up of the product by scanning the identification code printed on the product. The information that can be consulted includes:
1) all the product information provided outside in the life cycle of the product comprises the product inoculation period (product demand formation, product planning and design), the production period (raw material selection, preparation, product production, assembly and quality inspection), the storage, transportation and sales period (storage, packaging, transportation, sales, installation and scheduling), the after-sales service (record and comment) and other information related to the product.
2) Meanwhile, the information of the related enterprises of the product can be viewed, including the information and qualification information of the enterprises such as raw material suppliers, manufacturers, storage providers, transporters, sellers, after-sales providers and the like.
3) And product evaluation: the evaluation service is provided for the product, the tourists can check the evaluation, any third party can not delete the evaluation, only the recording and checking processing is carried out, the fairness, the justness and the credibility of the evaluation are kept, and the sensitive words are filtered.
4) Product and service approval and promotion: the user can like to the product and the service, and can promote to the WeChat friend circle, WeChat microblog, etc., increase enterprise product promotion.
5) And a blacklist system: and adding blacklist processing to enterprises and account numbers which do not comply with discipline, so that users and enterprises on the blacklist cannot enjoy corresponding platform services and give notice. And the system is connected with an enterprise information disclosure system in a credit platform to form comprehensive credit disclosure for the enterprise, so that the legal rights and interests of the industrial enterprise are protected, and the legal rights and interests of the majority of users are guaranteed.
5) Authoritative enterprise official website: the enterprise can release the real official website and the contact way of the enterprise to the platform, thereby providing authoritative and correct service for the majority of users and potential users, protecting the majority of users from being cheated by various cheating information on the Internet, ensuring the legal rights and interests of the enterprise and individuals, and reducing the illegal crimes of the society.
6) Authoritative enterprise official shopping platform: what do a potential user or the user want to buy again when the user feels that the product produced by the enterprise is good? The identification code on the product can be directly scanned, the authoritative official shopping platform of the product can be viewed, and the user can be relieved to buy the genuine products and services with low quality and low price without worrying about cheating or buying the unofficial products and services.
II), enterprise users:
1) and (5) popularization of the product. An enterprise administrator can release data link data in an industrial internet data link warehouse pool to a platform presentation layer interface through selection and verification by a login platform, and provides official inquiry service for the outside, so that the service capacity, product affinity and the like of an industrial enterprise are provided, and the service capacity and product capacity, market competitiveness and awareness of the industrial enterprise are comprehensively improved on the premise of reducing the enterprise cost.
2) Official websites and official shopping platforms. The official website and the official shopping platform on the platform presentation layer can be modified and maintained, and the effectiveness of official service is guaranteed.
Seventhly, an industrial ecological chain optimization layer: the product ecological chain optimization can be provided for enterprises by opening a digital system of the product in the whole life cycle. I.e. which step the product is currently going to, how is the cost? How is the quality? Which person is responsible can be seen at a glance through the product data chain; the product data chain after the data intelligence can also be used for analyzing the main part of the cost of the product, where the bottleneck is, where the risk is, the product advantage disadvantage, the user reverberation and the like, so that the cost and the risk of an industrial enterprise are reduced, and the informatization and the digitization transformation of the enterprise are promoted. The specific technology is realized as follows:
ecochain optimization
The problem of data aggregation among different systems in the heterogeneous environment of an industrial enterprise is solved mainly by means of a cross-regional, business and system data service middleware and a data verification method invented by the inventor center, then threshold values are set for the data, and a full ecological process optimization solution scheme from product inoculation to production, quality inspection, storage, transportation, sales, after-sale service and the like of the industrial internet enterprise is obtained through modeling and analysis, so that the enterprise cost is reduced, the quality and quantity are guaranteed, the market competitiveness of the enterprise is increased, and the enterprise risk is reduced.
The core solutions used are:
1. cluster Analysis (Cluster Analysis): the method comprises the steps of packaging an independent jar toolkit on the basis of a java K-means algorithm, carrying out multi-round clustering analysis in an iterative mode, finding out the similarity and the different features of data objects, classifying the data into different classes or clusters according to a user-defined rule, realizing data classification association, and finally forming different types of classified data according to the data objects.
2. Correlation Analysis (Correlation Analysis): and performing two-round packaging on the basis of the java Apriori data algorithm to obtain a data analysis algorithm suitable for industrial enterprise data, and realizing the data analysis requirement. The implementation steps comprise through an iterative mode of layer-by-layer searching: data scan, count, join, prune, and finally generate candidate sets, and then repeat the previous steps until no larger frequent set can be found, thereby finding duplicate sets. And generating an association rule through the confidence coefficient, and classifying the data in the confidence coefficient range into one class. Thereby achieving classification of the data.
3. The method uses a cache cluster technology, combines an LRU algorithm and an LFU algorithm, processes industrial data with large data volume by combining with a message service bus cluster mechanism, and solves the problems of data merging and data chain optimization.
4. Through the encapsulation and optimization of the three types of core algorithms, data are processed and correlated to generate a data correlation chain, and data which are originally scattered in different systems and have unobvious correlation degrees are correlated to form an industrial enterprise data chain so as to meet the data analysis requirements of different data in the heterogeneous environment of an industrial internet enterprise. The data are processed through a core algorithm, then the data form a data chain, a data flow direction model is automatically generated through the data flow direction of the data chain, an ecological chain model is formed, and then the optimization process of the whole ecological chain is realized through a threshold value in the optimization process of the ecological chain. Enterprises can complete related optimization processes by checking the flow direction of the whole ecological chain, the data monitoring condition and the threshold value early warning and alarming condition.
The 'threshold value' mentioned in the ecological chain optimization process is defined by the enterprise according to the actual requirements, the concern points and the key points of the enterprise and the data structure in the ecological chain process.
For example: "key threshold of provider ecological chain", some data collected by enterprises may only have basic information, quotation information and raw material information of providers, some enterprises may also want to access credit, legal dispute, provider rank, evaluation and the like of providers, and these enterprises may set this threshold according to actual conditions and concerns. Such as setting offer thresholds, credit thresholds, quality thresholds, qualification thresholds, place of origin thresholds, type thresholds, performance thresholds, and the like
Eighthly, an API interface service layer: the platform provides API interface service, and industrial enterprise data can be shared to other third platforms for popularization by manually configuring or presetting some API interfaces, such as Taobao, Jingdong or own popularization platforms of enterprises.
As shown in fig. 3, the actual user-side process of the product in the industrial internet enterprise data based marketing platform in the heterogeneous environment according to the present invention is described as follows:
1. motive: when a user sees a real object of a product (commercial product) in any place, the user can open an APP (the APP or WeChat of the platform corresponding to the invention) by using a mobile phone and click to scan a code when wanting to view the related information of the product;
2. judging a platform: whether the user logs in or not, wherein the user who does not log in only has the checking and sharing functions; the logged-on user also comprises other functions besides the viewing and sharing functions;
3. the functions include the possibility to view:
1) basic information of the product, quotation, related certificates and advantages of the product and the like;
2) enterprise basic information such as product manufacturers, suppliers, sellers and source material suppliers;
3) enterprise qualification information such as product manufacturers, suppliers, sellers, source material suppliers and the like;
4) enterprise and industrial and commercial credit information such as product manufacturers, suppliers, sellers, source material suppliers and the like;
5) product design information, design concept, etc.;
6) information of the production process of the product;
7) product quality inspection information;
8) product storage process information;
9) product transportation information;
10) product after-sale service information;
11) and product evaluation information: the evaluation information of the user related to the product is non-modifiable, so that the evaluation is real and effective, functions of allergic sensitive words and the like are provided, and the evaluation compliance is guaranteed;
12) product official website, product official purchase channel, contact way, etc.;
13) information such as a product blacklist, a supplier blacklist and the like is exposed to light, the right of knowledge of a user is guaranteed, meanwhile, the risk that the masses are cheated is reduced, and the degree of trust before an enterprise and the user are used is improved;
14) other product related credit, promotional information.
The login user can also evaluate, share, evaluate stars, punch a card and the like on the information.
As shown in FIG. 4, the enterprise operational flow is described as follows:
1. enterprise user login
2. Access home page
3. Performing data access management on a system in a heterogeneous environment needing to acquire data, and opening a data access layer;
4. setting a data acquisition rule;
5. carrying out data intelligent treatment on the acquired data, and analyzing effective data to form a preliminary industrial internet data chain;
6. accessing to an industrial internet identification analysis system to form an industrial internet enterprise-level data identification analysis system
7. Generating an industrial internet data chain ecology
8. Analyzing the ecology of the industrial internet data chain to form an ecological optimization scheme of the industrial internet data chain
9. Checking and processing evaluation system
10. Daily maintenance of product promotion system
As shown in fig. 5, the application scenario of the user end in the promotion platform according to the present invention is described as follows:
1. code scanning: when a (potential) purchase/use user sees a device, and wants to know basic information, how to evaluate, where to buy, after sale, evaluate and the like of the device, the APP (corresponding to the platform APP or WeChat of the invention) can be opened through a mobile phone to scan codes.
2. Viewing product equipment related information: the related information includes the following description of the actual user end process described above as shown in fig. 2: and 3, the functions comprise that the information related to 14 items and product equipment described in the step can be seen.
3. The user can check and share the information related to the product equipment, and the login user can evaluate, start stars, popularize and the like.
As shown in fig. 6, the application scenario of the enterprise user side in the promotion platform according to the present invention is described as follows:
1. user login
2. Enter the home page
3. The enterprise self-related information can be managed, and the management comprises the following steps: data access management, data intelligent management, rule configuration, data quality detection, data analysis and the like; the related information can be maintained; the rating of the user can be viewed; applying for removing the blacklist; official website promotion platform, official shopping channel maintenance, etc.; the method is used for fully displaying the momentum of enterprises, the product advantages of the enterprises and building a trust bridge between the users and the enterprises, thereby providing greater popularization power and chances of successful transaction for the enterprises and promoting economic development.
Meanwhile, the product design, production, sale, transportation, storage and other full life cycle chains can be optimized according to the industrial internet data chain intelligently managed by the platform, so that the product quality is greatly improved, the cost is reduced, and the enterprise competitiveness and the product competitiveness are greatly improved.
As shown in fig. 7, the server cluster is connected to the switch, which is a distributed deployment structure diagram; as shown in fig. 8, is a diagram of a distributed communication architecture. The server cluster comprises an Nginx proxy service cluster, an API service gateway cluster, a distributed central service cluster, a redis cache service cluster, a RabbitMQ message service cluster, a FastDFS file service cluster, a Mysql database service cluster, a mongdb database service cluster and an elasticsearch log server cluster.
Wherein the server cluster includes:
the Nginx proxy service cluster provides a first layer of safety protection and soft load service;
the API service gateway cluster is used for realizing uniform entry, identity authentication and safety, examination and monitoring, dynamic routing, pressure testing, load balancing and flow control and providing the second-layer safety protection and load capacity of the system;
the distributed central service cluster provides unified central service capacity, including service capacities such as configuration, gateway, security verification, data access, data intelligence, data management, industrial internet data ecological chain, industrial internet ecological chain optimization, enterprise identification analysis system, popularization system and evaluation system;
the redis cache service cluster stores the frequently used and unchangeable data needing high-speed response into a cache, improves the service response capability and provides the third layer of safety protection and load capability of the system; the RabbitMQ message service cluster provides unified message service capability and solves the high concurrent access bottleneck in a message queue mode; the FastDFS file service cluster provides file service capability and uniformly stores all related files in the middle into the FastDFS file service cluster; the Mysql database service cluster is used for storing relevant rule data of the industrial Internet enterprise acquired by accessing the corresponding platform of the invention, and comprises structured data in systems such as an enterprise official network, an enterprise production system, an enterprise design system, an enterprise quality supervision system, an enterprise supply system, an enterprise ERP system, an enterprise CRM system, an enterprise sales system and an after-sales system; the mongdb database service cluster is used for accessing and acquiring the acquired industrial internet enterprise related unstructured data including data cache information, time sequence data, monitoring data and the like corresponding to the platform; the log server cluster is used for storing log information related to the service operation generation of the invention, providing monitoring capability for all services related to the corresponding platform of the invention, ensuring that all operations of the corresponding platform of the invention are well documented, recording as long as the operations exist, and analyzing the log information.
The invention also has the following beneficial effects:
(1) the data access risk is low and the cost is low. The method has the advantages that the enterprise can acquire data which has important values to the enterprise in different areas, different services, different systems and different platforms, including BS (base station) architecture, CS (circuit switch) architecture, cloud architecture platform and system level data docking, without changing the original system and original service flow, under the condition of zero dependence on the original system developer and according to the enterprise data requirement and the authorization account authority of a service department;
(2) the data is safe and reliable, the data of the whole life ecological chain of the products of the industrial enterprise is formed, and the data in the processes from product inoculation to production, quality inspection, storage, transportation, sale, after-sale service and the like are associated together according to the product codes to form a product data chain;
(3) and finishing the establishment of the enterprise-level industrial internet identification analysis system. By establishing an enterprise-level node identification analysis system and butting with a national identification analysis system, the communication between enterprise-level nodes and national top-level nodes is realized. Forming a first-object code, and generating a standard identification code from the effective industrial enterprise data chain data processed by the data intelligent layer; meanwhile, related data are shared and pushed to a city identification analysis platform secondary node, so that the connection with a national identification analysis system is realized. Generating a corresponding product two-dimensional and three-dimensional identification code for the product according to the identification code, and providing service for subsequent product popularization; the identity authentication of industrial internet enterprises is formed, and the legal rights and interests of the enterprises and the legal rights and interests of the products are guaranteed.
(4) And constructing an industrial internet enterprise-level popularization system. By means of the platform corresponding to the invention, an enterprise promotion system is established, the promotion difficulty and cost of industrial enterprise products are reduced, the product and resource searching cost and trial and error cost of users are reduced, so that a mutual trust mechanism is established on a user side and an enterprise side, and economic development is promoted.
(5) And constructing an industrial internet enterprise product evaluation system. By means of the corresponding platform, a product evaluation system is established, and a user can inquire the relevant authoritative information of the product through the authoritative official platform established by the center and can also realize the inquiry of the product by scanning the identification code printed on the product. And product evaluation service is provided, the product can be evaluated by using users and login users, tourists can check the evaluation, any third party can not delete the evaluation, only recording and checking processing is carried out, the fairness, the justness and the credibility of the evaluation are kept, and sensitive words are filtered.
(6) And constructing an industrial internet enterprise product promotion system. By means of the platform corresponding to the method and the system, functional services such as product approval, sharing and the like are provided, users can approve the product and can popularize the product to a WeChat friend circle, a WeChat microblog and the like, and the product popularization strength of enterprises is improved.
(7) The method is simple and easy to use: the invention has complex design and simple use, and is designed comprehensively from the aspects of easy use, easy expansion, easy maintenance and the like, thereby reducing the use cost and the risk of users.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (6)
1. The market promotion method of industrial internet enterprise data is characterized by comprising the following steps:
s1, acquiring relevant information data of the product whole life cycle;
s2, respectively storing the acquired data into an industrial internet data set warehouse according to different types of the data;
s3, performing data governance on the product data in the industrial Internet data set warehouse, and forming a data chain by the product data subjected to data governance to form an industrial enterprise data chain;
s4, storing the data of the industrial enterprise data chain into an industrial Internet data chain warehouse pool in a classified manner, and providing data support for subsequent data service, enterprise users and user service; the construction architecture and design of the industrial internet data chain warehouse pool are basically consistent with those of the industrial internet data set warehouse of S2, and only data security control of an authority control level in the platform is entered to form available formal data;
s5, butting the formed industrial enterprise data link data with an industrial Internet identification code analysis system platform, constructing an enterprise-level identification analysis system, and generating a product unique identification authentication identification code for the product;
s6, generating a two-dimensional and three-dimensional identity code according to the unique identity authentication identification code of the product, and printing the code on the product by the enterprise to form the unique identification of the product; the unique identification is used for identifying the relevant information data of the product whole life cycle by enterprises and users through inquiry and code scanning;
and S7, purchasing the product and evaluating the product by the user according to the relevant information of the product full life cycle.
2. The industrial internet business data marketing method of claim 1, wherein in the step S1, the product full-life cycle related information data includes:
all product information provided outside in the product life cycle; the method comprises the steps of obtaining product incubation period information, production period information, storage, transportation and sale period information and after-sale service information;
information about the product-related business; the method comprises the following steps of (1) including information and qualification information of various enterprises such as raw material suppliers, manufacturers, storage suppliers, carriers, sellers and after-sales suppliers;
product evaluation information; including information on the evaluation of the product; the evaluation information is user evaluation information after purchasing a product;
product approval and promotion information; the information is the praise information of the user for the product after purchasing the product;
black list information;
an authoritative enterprise official website;
an authoritative enterprise official shopping platform.
3. The marketing method of industrial internet enterprise data of claim 2, wherein the product induction period information includes product demand formation information, product planning information, design information; the production period information comprises raw material selection information, preparation information, product production information, assembly information and quality inspection information; the information of the storage, transportation and sale period comprises storage information, packaging information, transportation information, sale information and installation scheduling information; the after-sale service information comprises record information and comment information.
4. The industrial internet enterprise data marketing method of claim 1, wherein in step S2, the different types of data include structured data, unstructured data and file data.
5. The method for marketing industrial internet enterprise data as claimed in claim 1, wherein the data governance comprises cleaning, governance, auditing, rule validation, and association analysis in step S3.
6. The industrial internet business data marketing method of claim 1, further comprising a step S8 of optimizing the enterprise according to the product life cycle related information by:
optimizing a supply ecological chain; according to the supplier information, sending first supplier preference information and early warning information to the enterprise; the supplier information comprises supplier qualification information, risk information, quotation information, contact information, supply mode and supply quantity information;
optimizing a production ecological chain; sending second supplier preference information to enterprises according to raw material classification information, raw material management information, raw material storage information, production plan information, production order information, production human resource requirement information, cost control information, material loss information, rejection rate information, production leader information, production process information and process requirement information;
optimizing a quality inspection ecological chain; according to the production information, the quality inspection information, the storage information, the transportation information, the sales information, the after-sales service information and the set threshold value information of the product; sending alarm information to an enterprise;
optimizing a storage ecological chain; sending storage suggestion information to enterprises according to the storage information, the production information, the sales information and the transportation information of the products;
optimizing a transportation ecological chain; according to the data information of the transportation service provider, the transportation task information, the information of the transported goods, the production task information and the order information, the transportation scheduling information is sent to the enterprise; sending route information to enterprises according to the geographic information and the transportation information; sending transportation early warning information to enterprises according to transportation live data information, production information, sales information and storage information;
optimizing a sale ecological chain; sending sale suggestion information to enterprises according to the sale and storage information, the production information, the transportation information and the after-sale service information;
optimizing an after-sale service ecological chain; and sending service resource suggestion information to the enterprise according to the sales information, the after-sales service staff information, the current staff information and the maintenance material information.
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