Industrial enterprise digital transformation system and method thereof

Abstract

The invention discloses an industrial enterprise digital transformation system and method, belongs to the technical field of information, is used for solving the problems of difficulty in industrial enterprise digital transformation, no reference, no way to start and no way to judge, and comprises an innovation service module, a talent service module, an enterprise diagnosis module and a solution module, the innovation service module is used for guaranteeing intellectual property rights and interests of users or industrial enterprises; the talent service module is used for providing various types of training for users or industrial enterprises; the enterprise diagnosis module is used for diagnosing the digitization degree of an industrial enterprise; and the solution module is used for providing excellent cases for digital transformation of industrial enterprises. The system comprises comprehensive services, the system structure is clear, and the requirement of digital transformation of industrial enterprises is met; the system realizes mutual independence of various services through a micro-service architecture, so that various services are flexible to schedule and easy to expand, migrate and deploy.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a system for digital transformation of industrial enterprises. Background Art

[0002] The digitalization of industrial enterprises is both the focus and the difficulty of the intelligent transformation of the manufacturing industry. Many enterprises have prominent problems such as "not wanting to transform", "not daring to transform" and "not knowing how to transform".

[0003] In November 2022, the Ministry of Industry and Information Technology held a conference on the digital transformation of small and medium-sized enterprises for the first time. At the conference, it was proposed that "digital transformation can help small and medium-sized enterprises achieve multiple goals such as 'improving quality, increasing efficiency, reducing costs, reducing inventory, and green and safe development', thereby helping small and medium-sized enterprises gain greater initiative in market competition. It can be said that digital transformation is not only a measure to help enterprises alleviate difficulties, but also a key measure to enhance their competitiveness. Under the new situation, realizing the digital transformation of industrial enterprises is no longer a 'multiple choice', but a 'compulsory course'." It also pointed out that efforts should be made in three aspects: policy support, path guidance, and service support to create a platform for the National Small and Medium-sized Enterprises Digital Transformation Conference, promote N models of digital transformation of small and medium-sized enterprises, and comprehensively promote the digital development of small and medium-sized enterprises through the "3+1+N" work system, and promote the realization of the strategic goal of "stimulating the emergence of more specialized, refined, and innovative small and medium-sized enterprises." Summary of the invention

[0004] In view of the above-mentioned difficulties in the digital transformation of existing industrial enterprises, a digital transformation system and method for industrial enterprises are proposed, which provide ideas and directions for the digital transformation of industrial enterprises. By deploying the digital transformation system and method for industrial enterprises, industrial enterprises can easily and quickly realize the digital transformation of the enterprise.

[0005] An industrial enterprise digital transformation system, including an innovation service module, a talent service module, an enterprise diagnosis module, and a solution module;

[0006] The innovation service module is used to protect the intellectual property rights of users or industrial enterprises, and mainly provides intellectual property creation consulting services, intellectual property rights protection services, etc.;

[0007] The talent service module is used to provide various types of training for users or industrial enterprises to help improve the technical level or management ability of relevant talents of users or industrial enterprises, mainly providing online courses, corporate training, offline training courses, talent-specific training, etc.; more preferably, the talent service module also has an entrance to the continuing education platform for engineering and technical personnel and a professional title evaluation service;

[0008] The enterprise diagnosis module is used to diagnose the degree of digitalization of industrial enterprises, including enterprise cloud diagnosis, national intelligent manufacturing capability maturity assessment diagnosis, and integration of industrialization and informationization assessment diagnosis; the enterprise cloud diagnosis can also form a diagnosis report;

[0009] The solution module is used to provide excellent cases of digital transformation of industrial enterprises as a reference for users or industrial enterprises in their digital transformation. It mainly provides public services such as cloud ERP, supply chain management, EHS management, and special services such as cloud MES, energy management, and quality management to help enterprises in their digital transformation.

[0010] Preferably, the industrial enterprise digital transformation system also includes an information module, which is used to display published news, work dynamics, notices and announcements, policy documents, etc., to provide users with various types of information related to the digital transformation of industrial enterprises.

[0011] Preferably, the industrial enterprise digital transformation system also includes a resource pool module, which is used to provide technical resources for users or industrial enterprises, including service providers and experts. The service providers are enterprises or teams that provide technical services for the digital transformation of industrial enterprises, and the experts are individuals in industries or fields that provide consulting services on technical issues related to the digital transformation of industrial enterprises.

[0012] Through the deployment of the industrial enterprise digital transformation system, the digital transformation of the deployed industrial enterprises was effectively promoted, and high-quality development of the deployed enterprises was achieved.

[0013] Preferably, the microservices of the industrial enterprise digital transformation system include gateway services, WeChat services, authentication services, portal services, activity services, enterprise intelligence services, log services, portal display services, mobile services, background management services, user center services and public services, etc. Through the microservices, the industrial enterprise digital transformation system can be operated in a good, simple and efficient manner, the program can be simplified, the operation can be optimized, the possible operating BAGs of the system operation can be reduced, and the stability of the system can be improved.

[0014] A method for digital transformation of industrial enterprises, including an enterprise cloud migration diagnosis method, wherein the enterprise cloud migration diagnosis method determines the degree of digitalization of the enterprise by calculating the enterprise cloud migration evaluation score, including:

[0015] S01, defining evaluation indicators and their weights, wherein the evaluation indicators are divided into primary evaluation indicators and secondary evaluation indicators, and the weight scores of the indicators are set on the secondary evaluation indicators;

[0016] S02, based on the secondary evaluation indicators, calculate the cloud evaluation score of the primary evaluation indicators according to different industries;

[0017] S03: Add up the cloud evaluation scores of each first-level evaluation indicator and record it as the cloud evaluation score for industrial enterprises.

[0018] Preferably, the update rule for the cloud-based scoring of industrial enterprises is:

[0019] Determine the number of times the user has undergone enterprise cloud migration diagnosis in the current year. If the number of diagnoses is less than or equal to two, the most recent industrial enterprise cloud migration evaluation score will be determined as the annual cloud migration evaluation score; if the number of diagnoses is greater than two, the second industrial enterprise cloud migration evaluation score will be determined as the annual cloud migration evaluation score.

[0020] Preferably, the degree of cloud migration of users or industrial enterprises is determined based on the annual cloud migration evaluation score.

[0021] Primary industry: If the annual cloud evaluation score is greater than or equal to 80 points, it is judged as A level;

[0022] Primary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class B;

[0023] Primary industry: If the annual cloud evaluation score is greater than or equal to 60 points and less than 70 points, it is judged as Class C;

[0024] Primary industry: If the annual cloud evaluation score is less than 60, it will be judged as D level;

[0025] Secondary industry: If the annual cloud evaluation score is greater than or equal to 80 points, it is judged as A-level;

[0026] Secondary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class B;

[0027] Secondary industry: If the annual cloud evaluation score is greater than or equal to 60 points and less than 70 points, it is judged as Class C;

[0028] Secondary industry: If the annual cloud evaluation score is less than 60, it will be judged as D level;

[0029] Tertiary industry: If the annual cloud evaluation score is greater than or equal to 90 points, it is judged as A-level;

[0030] Tertiary industry: If the annual cloud evaluation score is greater than or equal to 80 points and less than 90 points, it is judged as Class B;

[0031] Tertiary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class C;

[0032] Tertiary industry: If the annual cloud evaluation score is less than 70, it will be judged as D level.

[0033] A method for digital transformation of industrial enterprises, including an unstructured data management method,

[0034] S11, build the minio server, and create the minio authentication key and data bucket through the client;

[0035] S12, manage minio's private key and public key in the Nocas registry, create minio applications in the public service microservice, and build upload and download interfaces for single files and / or multiple files;

[0036] S13, calling the backend file upload and download interfaces in the frontend management system and the backend management system, and implementing functions such as file upload, download, and preview through code functions;

[0037] S14, visually manage all files through minio client, including viewing and downloading files, and classifying and managing files by module and date.

[0038] The beneficial effects of the technical solution of the present invention are as follows: the system includes comprehensive services and a clear system structure, which meets the needs of digital transformation of industrial enterprises; the system realizes the independence of various services through the microservice architecture, making the scheduling between various services flexible and easy to expand, migrate and deploy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the system structure of the digital transformation of industrial enterprises. DETAILED DESCRIPTION

[0040] In order to more clearly illustrate the technical solution of the present invention, the technical solution of the invention content is described in detail in conjunction with the accompanying drawings. Obviously, the following descriptions are some typical embodiments of the present invention. For ordinary technicians in this field, other solutions can be obtained based on these embodiments without paying creative work.

[0041] In order to effectively help industrial enterprises carry out digital transformation, a digital transformation system for industrial enterprises has been built, which provides ideas and directions for the digital transformation of industrial enterprises from a management perspective.

[0042] In one implementation mode, the industrial enterprise digital transformation system is deployed in an equipment manufacturing industrial enterprise, including an innovation service module, a talent service module, an enterprise diagnosis module, and a solution module;

[0043] The innovation service module is used to protect the intellectual property rights of users or industrial enterprises, and mainly provides intellectual property creation consulting services, intellectual property rights protection services, etc.; for example, the intellectual property creation consulting services can provide patent technology mining, patent application evaluation, patent information analysis, etc. for enterprises or users; for another example, the intellectual property rights protection services can provide infringement warning analysis, infringement rights protection, etc. for enterprises or users;

[0044] The talent service module is used to provide various types of training for users or industrial enterprises to help improve the technical level or management ability of relevant talents of users or industrial enterprises, mainly providing online courses, enterprise training, offline training courses, talent-specific training, etc.; more preferably, the talent service module also has an entrance to the continuing education platform for engineering and technical personnel and a professional title evaluation service; specifically in this embodiment, users can watch online courses unlimited times according to their own needs; the talent service module also provides enterprises with targeted enterprise management training, conducts offline special training courses or talent-specific training, etc., to achieve personalized services for users;

[0045] The enterprise diagnosis module is used to diagnose the degree of digitalization of industrial enterprises, including national intelligent manufacturing capability maturity assessment diagnosis, enterprise cloud diagnosis, and integration of industrialization and information technology assessment diagnosis; the enterprise cloud diagnosis can also form a diagnosis report; specifically, the enterprise cloud diagnosis is used to calculate the annual cloud evaluation score of industrial enterprises, the national intelligent manufacturing capability maturity assessment diagnosis is the entrance to the national intelligent manufacturing capability maturity assessment platform embedded in the system, and the integration of industrialization and information technology assessment diagnosis is used to evaluate the degree of integration of industrialization and information technology of industrial enterprises. Through the diagnosis from these three perspectives, the degree or level of digital transformation of the diagnosed industrial enterprises is comprehensively determined;

[0046] The solution module is used to provide excellent cases of digital transformation of industrial enterprises as a reference for users or industrial enterprises in their digital transformation. It mainly provides public services such as cloud ERP, supply chain management, EHS management, and special services such as cloud MES, energy management, and quality management to help enterprises in their digital transformation.

[0047] As a supplement to this implementation, the industrial enterprise digital transformation system also includes an information module, which is used to display published news, work dynamics, notices, announcements, policy documents, etc., to provide users with various types of information related to the digital transformation of industrial enterprises.

[0048] As a supplement to this embodiment, the industrial enterprise digital transformation system also includes a resource pool module, which is used to provide technical resources for users or industrial enterprises, including service providers and experts. The service providers are enterprises or teams that provide technical services for the digital transformation of industrial enterprises, and the experts are individuals in industries or fields that provide consulting services on technical issues related to the digital transformation of industrial enterprises.

[0049] In this embodiment, in order to enable the industrial enterprise digital transformation system to run smoothly, the system backend uses the Java SpringBoot microservice architecture to implement the functional construction of the entire system, and the system frontend uses vue and React to display the design effect of the system. For this purpose, the supporting software tools used in this system are:

[0050] Gradle: Use the Gradle automatic build tool to build microservice applications. The system manages dependencies between code modules and external dependencies, implements one-click code packaging, and builds application services required by the system.

[0051] Nacos: Manage application configuration information through dynamic configuration services, use Nacos registration center and configuration center to improve system flexibility and availability, realize real-time modification of system configuration information, and ensure the security of configuration information;

[0052] MySQL: Use MySQL to implement system data management;

[0053] Xxl_job: Uses an open source lightweight distributed task scheduling platform to implement and manage a large number of scheduled tasks required by the system;

[0054] Nginx: Nginx's Web service can efficiently process static file access, reduce server burden and improve response speed, especially for high-traffic websites, which can significantly improve user experience and website throughput. The reverse proxy service forwards client requests to the backend server and returns the processing results to the client. This function hides the IP address of the backend server and improves the security and reliability of the system;

[0055] Minio: Builds its own attachment service to store unstructured data in the system, such as policy documents, pictures, videos, etc.

[0056] As a supplement to this implementation mode, the microservices of the industrial enterprise digital transformation system include gateway services, WeChat services, authentication services, portal services, activity services, enterprise intelligence services, log services, portal display services, mobile services, background management services, user center services and public services, etc. Through the microservices, the industrial enterprise digital transformation system can be operated in a good, simple and efficient manner, the program can be simplified, the operation can be optimized, the possible operating BAGs of the system operation can be reduced, and the stability of the system can be improved.

[0057] In another embodiment, a method for digital transformation of an industrial enterprise includes an enterprise cloud migration diagnosis method, wherein the enterprise cloud migration diagnosis method determines the degree of digitalization of the enterprise by calculating the enterprise cloud migration evaluation score, including:

[0058] S101, defining evaluation indicators and their weights, wherein the evaluation indicators are divided into primary evaluation indicators and secondary evaluation indicators, and the weight scores of the indicators are set on the secondary evaluation indicators;

[0059] S102, based on the secondary evaluation indicators, calculate the cloud evaluation score of the primary evaluation indicators according to different industries;

[0060] S103: Add up the cloud evaluation scores of each first-level evaluation indicator and record it as the cloud evaluation score for the industrial enterprise.

[0061] In this implementation, the first-level evaluation indicators include infrastructure cloud migration indicators, management cloud migration indicators, and business cloud migration indicators. The cloud migration assessment covers hardware, management, and software aspects, thus achieving comprehensive diagnosis of enterprise cloud migration.

[0062] In this embodiment, the secondary evaluation indicators of the infrastructure cloud index include the number of servers on the cloud (unit: unit), the number of databases on the cloud (unit: unit), the number of storage resources on the cloud (unit: GB), the number of network security on the cloud (unit: unit) and the number of other cloud (unit: unit); the secondary evaluation indicators of the management cloud index include the number of work file storage and backup on the cloud (unit: unit), the number of video conferencing systems on the cloud (unit: unit), the number of human resources management on the cloud (unit: unit), and the number of financial management on the cloud (unit: unit); the secondary evaluation indicators of the business cloud index include the number of production and manufacturing on the cloud (unit: unit), the number of supply chain on the cloud (unit: unit), and the number of sales management on the cloud (unit: unit); different numbers of secondary evaluation indicators are assigned different weight scores in the background management, and the weight scores are recorded as the cloud diagnosis score. Specifically in this embodiment, the weight scores of the above-mentioned secondary evaluation indicators are distributed as follows:

[0063] (1) Secondary evaluation indicators of infrastructure cloud migration and their weight scores:

[0064] 1) Number of clouds on the server (baseService):

[0065] When baseService is equal to 1: assign 1 point;

[0066] When baseService is equal to 2: assign 2 points;

[0067] When baseService is greater than or equal to 3: assign 3 points;

[0068] 2) Number of databases on the cloud (baseDatabase):

[0069] When baseDatabase is equal to 1: assign 1 point;

[0070] When baseDatabase is equal to 2: assign 2 points;

[0071] When baseDatabase is greater than or equal to 3: assign 3 points;

[0072] 3) Amount of storage resources on the cloud (GB) baseResource:

[0073] When baseResource is greater than 0GB and less than or equal to 100GB: assign 1 point;

[0074] When baseResource is greater than 100GB and less than or equal to 200GB: assign 2 points;

[0075] When baseResource is greater than 200GB: 3 points;

[0076] 4) Number of network security clouds (baseSecNet):

[0077] When baseSecNet is equal to 1: assign 1 point;

[0078] When baseSecNet is greater than or equal to 2: assign 2 points;

[0079] 5) Number of other types of cloud services (baseOther):

[0080] When baseOther equals N: assign N*2 points, with a maximum of 14 points; (2) Secondary evaluation indicators of cloud management indicators and their weighted scores:

[0081] 1) Secondary evaluation indicators and their weight scores for the primary industry management cloud migration index: ① Number of work files stored and backed up on the cloud (oaFile):

[0082] When oaFile is equal to 1: assign 4 points;

[0083] When oaFile is equal to 2: assign 8 points;

[0084] When oaFile is equal to 3: assign 12 points;

[0085] When the number of oaFile is greater than or equal to 4: assign 15 points;

[0086] ②Number of video conferencing systems on the cloud (oaVideo):

[0087] When oaVideo is equal to 1: assign 4 points;

[0088] When oaVideo is equal to 2: assign 8 points;

[0089] When oaVideo is equal to 3: assign 12 points;

[0090] When oaVideo is greater than or equal to 4: assign 15 points;

[0091] ③ Number of human resource management cloud services (humanPlan):

[0092] When humanPlan is equal to 1: assign 4 points;

[0093] When humanPlan equals 2: assign 8 points;

[0094] When humanPlan equals 3: assign 12 points;

[0095] When humanPlan is greater than or equal to 4: assign 15 points;

[0096] ④Number of financial management cloud services (fmTax):

[0097] When fmTax is equal to 1: 4 points are assigned;

[0098] When fmTax is equal to 2: 8 points are assigned;

[0099] When fmTax is equal to 3: assign 12 points;

[0100] When fmTax is greater than or equal to 4: 15 points;

[0101] 2) Secondary evaluation indicators and their weight scores for the secondary industry management cloud index: ① Number of work files stored and backed up on the cloud (oaFile):

[0102] When oaFile is equal to 1: assign 3 points;

[0103] When oaFile is equal to 2: assign 6 points;

[0104] When oaFile is equal to 3: assign 9 points;

[0105] When the number of oaFile is greater than or equal to 4: assign 12 points;

[0106] ②Number of video conferencing systems on the cloud (oaVideo):

[0107] When oaVideo is equal to 1: assign 3 points;

[0108] When oaVideo is equal to 2: assign 6 points;

[0109] When oaVideo is equal to 3: assign 9 points;

[0110] When oaVideo is greater than or equal to 4: assign 12 points;

[0111] ③ Number of human resource management cloud services (humanPlan):

[0112] When humanPlan is equal to 1: assign 2 points;

[0113] When humanPlan equals 2: assign 4 points;

[0114] When humanPlan is greater than or equal to 3: 6 points;

[0115] ④Number of financial management cloud services (fmTax):

[0116] When fmTax is equal to 1: 3 points are assigned;

[0117] When fmTax is equal to 2: 6 points are assigned;

[0118] When fmTax is equal to 3: 9 points are assigned;

[0119] When fmTax is greater than or equal to 4: 12 points;

[0120] (3) Secondary evaluation indicators and their weight scores for business cloud migration indicators:

[0121] 1) Secondary evaluation indicators and weight scores of the primary industry business cloud migration indicators: ① Number of production and manufacturing cloud migrations (proDesign):

[0122] When proDesign equals 1: 5 points;

[0123] When proDesign equals 2: assign 10 points;

[0124] When the number of proDesign is greater than or equal to 3: 15 points;

[0125] ②Number of supply chain cloud services (srmProcure):

[0126] When srmProcure is equal to 1: assign 3 points;

[0127] When srmProcure is equal to 2: assign 6 points;

[0128] When srmProcure is greater than or equal to 3: assign 10 points;

[0129] ③Number of marketing management on the cloud (marketShop):

[0130] When marketShop is equal to 1: assign 2 points;

[0131] When marketShop is equal to 2: assign 4 points;

[0132] When marketShop is equal to 3: assign 6 points;

[0133] When marketShop is greater than or equal to 4: assign 10 points;

[0134] 2) Secondary evaluation indicators and their weight scores for secondary industry business cloud migration indicators:

[0135] ① Number of production and manufacturing cloud services (proDesign):

[0136] When proDesign equals 1: 7 points;

[0137] When proDesign equals 2: 14 points are assigned;

[0138] When proDesign equals 3: 21 points are assigned;

[0139] When proDesign equals 4: 28 points are assigned;

[0140] When the number of proDesigns is greater than or equal to 5: 35 points;

[0141] ②Number of supply chain cloud services (srmProcure):

[0142] When srmProcure is equal to 1: assign 3 points;

[0143] When srmProcure is equal to 2: assign 5 points;

[0144] When srmProcure is greater than or equal to 3: assign 7 points;

[0145] ③Number of marketing management on the cloud (marketShop):

[0146] When marketShop is equal to 1: assign 2 points;

[0147] When marketShop is equal to 2: assign 4 points;

[0148] When marketShop is equal to 3: assign 6 points;

[0149] When marketShop is greater than or equal to 4: assign 8 points.

[0150] As a supplement to this implementation, the method for calculating the infrastructure cloud evaluation score includes:

[0151] S201, define the total score variable totalScore of the cloud infrastructure, and initialize the row variable Interger to zero, that is, the initial score of each secondary evaluation indicator is 0;

[0152] S202, calculate the total evaluation score of the infrastructure on the cloud: add up the cloud evaluation scores of each secondary evaluation indicator in the infrastructure on the cloud indicator. Specifically, traverse each secondary evaluation indicator of the infrastructure on the cloud indicator, obtain the cloud evaluation score of each secondary evaluation indicator, and add up the cloud evaluation scores of each secondary evaluation indicator to obtain the total evaluation score of the infrastructure on the cloud.

[0153] For example, if the number of clouds on the server is 2, the value is 2 points;

[0154] The number of databases on the cloud is 3, and the value is 3 points;

[0155] If the amount of storage resources on the cloud is greater than 200 GB, 3 points will be assigned;

[0156] The number of network security cloud migrations is 1, with a value of 1 point;

[0157] The total evaluation score for cloud infrastructure is 9 points.

[0158] As a supplement to this implementation, the calculation method of the management cloud evaluation score includes:

[0159] S301, define the total score variable totalScore for cloud management, and initialize the row variable Interger to zero, that is, the initial score of each secondary evaluation indicator is 0;

[0160] S302, define the enterprise type: including the primary industry (FIRST), the secondary industry (SECOND), and the tertiary industry (THIRD); the primary industry includes agriculture, forestry, animal husbandry, fishery and related auxiliary activities; the secondary industry includes mining, manufacturing, electricity, heat, gas and water production and supply, and construction; the tertiary industry includes all industries other than the primary and secondary industries;

[0161] S303, calculate the total evaluation score of management on the cloud: add the cloud evaluation scores of each secondary evaluation indicator in the management on the cloud indicator. Specifically, traverse each secondary evaluation indicator of the management on the cloud indicator, obtain the cloud evaluation score of each secondary evaluation indicator, and add the cloud evaluation scores of each secondary evaluation indicator to obtain the total evaluation score of management on the cloud.

[0162] For example, industrial enterprises that use cloud diagnosis are in the secondary industry.

[0163] The number of work files stored and backed up on the cloud is 3, with a score of 9 points;

[0164] The number of video conferencing systems on the cloud is 1, which is worth 3 points;

[0165] The number of human resource management cloud-based services is 0, and the score is 0;

[0166] The number of financial management cloud services is 0, and the score is 0;

[0167] The total evaluation score for cloud management is 12 points.

[0168] As a supplement to this implementation, the method for calculating the business cloud migration evaluation score includes:

[0169] S401, define the total score variable totalScore for cloud-based services, and initialize the row variable Interger to zero, that is, the initial score of each secondary evaluation indicator is 0;

[0170] S402, define the enterprise type: including the primary industry (FIRST), secondary industry (SECOND), and tertiary industry (THIRD); the primary industry includes agriculture, forestry, animal husbandry, fishery and related auxiliary activities, the secondary industry includes mining, manufacturing, electricity, heat, gas and water production and supply, construction, and the tertiary industry includes all industries other than the primary and secondary industries;

[0171] S403, calculate the total evaluation score of business cloud migration: add up the cloud migration evaluation scores of each secondary evaluation indicator in the business cloud migration indicator. Specifically, traverse each secondary evaluation indicator of the business cloud migration indicator, obtain the cloud migration evaluation score of each secondary evaluation indicator, and add up the cloud migration evaluation scores of each secondary evaluation indicator to obtain the total evaluation score of the business cloud migration.

[0172] For example, industrial enterprises that use cloud diagnosis are in the secondary industry.

[0173] The number of cloud-based manufacturing operations is 2, with a score of 14 points;

[0174] The number of supply chain cloud services is 1, with a value of 3 points;

[0175] The number of marketing management cloud services is 1, with a value of 2 points;

[0176] The total evaluation score for business cloud migration is 19 points.

[0177] As a further supplement to this implementation, the update rule for industrial enterprise cloud migration score is:

[0178] Determine the number of times the user has undergone enterprise cloud migration diagnosis in the current year. If the number of diagnoses is less than or equal to two, the most recent industrial enterprise cloud migration evaluation score will be determined as the annual cloud migration evaluation score; if the number of diagnoses is greater than two, the second industrial enterprise cloud migration evaluation score will be determined as the annual cloud migration evaluation score.

[0179] As a further supplement to this implementation, the degree of cloud migration of users or industrial enterprises is determined based on the annual cloud migration evaluation score.

[0180] Primary industry: If the annual cloud evaluation score is greater than or equal to 80 points, it is judged as A level;

[0181] Primary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class B;

[0182] Primary industry: If the annual cloud evaluation score is greater than or equal to 60 points and less than 70 points, it is judged as Class C;

[0183] Primary industry: If the annual cloud evaluation score is less than 60, it will be judged as D level;

[0184] Secondary industry: If the annual cloud evaluation score is greater than or equal to 80 points, it is judged as A-level;

[0185] Secondary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class B;

[0186] Secondary industry: If the annual cloud evaluation score is greater than or equal to 60 points and less than 70 points, it is judged as Class C;

[0187] Secondary industry: If the annual cloud evaluation score is less than 60, it will be judged as D level;

[0188] Tertiary industry: If the annual cloud evaluation score is greater than or equal to 90 points, it is judged as A-level;

[0189] Tertiary industry: If the annual cloud evaluation score is greater than or equal to 80 points and less than 90 points, it is judged as Class B;

[0190] Tertiary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class C;

[0191] Tertiary industry: If the annual cloud evaluation score is less than 70, it will be judged as D level.

[0192] By calculating the first-level evaluation indicators as above, according to S103 and the above-mentioned judgment criteria, it can be obtained that the cloud migration evaluation score of the industrial enterprises diagnosed in this embodiment is 9+12+19=40 points, that is, the cloud migration degree of the diagnosed industrial enterprises is level D.

[0193] Another embodiment, a method for digital transformation of an industrial enterprise, includes an unstructured data management method,

[0194] S111, build the minio server, and create the minio authentication key and data bucket through the client;

[0195] S112, manage minio's private key and public key in the Nocas registration center, create minio applications in the public service microservice, and build upload and download interfaces for single files and / or multiple files;

[0196] S113, calling the backend file upload and download interfaces in the frontend management system and the backend management system, and implementing functions such as file upload, download, and preview through code functions;

[0197] S114, visually manage all files through minio client, including viewing and downloading files, and classifying and managing files by module and date.

[0198] This technical solution has currently deployed the Ningxia Industrial Enterprise Digital Transformation Public Service Platform, where Ningxia's industrial enterprises can log in to obtain relevant information on digital transformation, learn relevant knowledge, refer to similar typical success cases, etc., to achieve their own digital transformation. They can also use the enterprise diagnosis module to regularly determine their own degree of digital transformation, so that the digital transformation of enterprises can be carried out in stages and in a targeted manner, thereby enhancing the confidence of enterprises in carrying out digital transformation.

[0199] The above embodiments are merely descriptions of a typical application of the technical solution of the present invention, and reasonable expansion can be carried out on a reasonable basis without requiring creative work.

Claims

1. An industrial enterprise digital transformation system, characterized in that: Including innovation service module, talent service module, enterprise diagnosis module and solution module; The innovation service module is used to protect the intellectual property rights of users or industrial enterprises, and mainly provides intellectual property creation consulting services and intellectual property rights protection services; The talent service module is used to provide various types of training for users or industrial enterprises to help improve the technical level or management ability of relevant talents of users or industrial enterprises; The enterprise diagnosis module is used to diagnose the degree of digitalization of industrial enterprises, including enterprise cloud diagnosis, national intelligent manufacturing capability maturity assessment diagnosis, and integration of industrialization and informationization assessment diagnosis; The solution module is used to provide excellent cases of digital transformation of industrial enterprises as a reference for users or industrial enterprises in their digital transformation.

2. The industrial enterprise digital transformation system according to claim 1, characterized in that: It also includes a resource pool module, which is used to provide technical resources to users or industrial enterprises, including service providers and experts.

3. The industrial enterprise digital transformation system according to claim 2, characterized in that: Service providers are companies or teams that provide technical services for the digital transformation of industrial enterprises, and experts are individuals in industries or fields that provide consulting on technical issues related to the digital transformation of industrial enterprises.

4. The industrial enterprise digital transformation system according to claim 1, characterized in that: It also includes an information module to provide users with various types of information related to the digital transformation of industrial enterprises.

5. The industrial enterprise digital transformation system according to claim 1, characterized in that: The enterprise cloud migration diagnosis is used to calculate the annual cloud migration evaluation score of industrial enterprises. The national intelligent manufacturing capability maturity assessment diagnosis is the entrance to the national intelligent manufacturing capability maturity assessment platform embedded in the system. The informatization and industrialization integration assessment diagnosis is used to evaluate the degree of integration of informatization and industrialization of industrial enterprises. Through diagnosis from these three angles, the degree or level of digital transformation of the diagnosed industrial enterprises is comprehensively determined.

6. The industrial enterprise digital transformation system according to claim 1, characterized in that: The microservices of the industrial enterprise digital transformation system include gateway services, WeChat services, authentication services, portal services, activity services, enterprise intelligence services, log services, portal display services, mobile services, background management services, user center services and public services.

7. A transformation method for the digital transformation system of an industrial enterprise based on any one of claims 1 to 6, characterized in that: The method includes an enterprise cloud migration diagnosis method, wherein the enterprise cloud migration diagnosis method determines the degree of digitalization of the enterprise by calculating the enterprise cloud migration evaluation score, including: S01, defining evaluation indicators and their weights, wherein the evaluation indicators are divided into primary evaluation indicators and secondary evaluation indicators, and the weight scores of the indicators are set on the secondary evaluation indicators; S02, based on the secondary evaluation indicators, calculate the cloud evaluation score of the primary evaluation indicators according to different industries; S03: Add up the cloud evaluation scores of each first-level evaluation indicator and record it as the cloud evaluation score for industrial enterprises.

8. The method for digital transformation of industrial enterprises according to claim 7, characterized in that: The update rules for industrial enterprise cloud migration scores are as follows: Determine the number of times the user has undergone enterprise cloud migration diagnosis in the current year. If the number of diagnoses is less than or equal to two, the most recent industrial enterprise cloud migration evaluation score will be determined as the annual cloud migration evaluation score; if the number of diagnoses is greater than two, the second industrial enterprise cloud migration evaluation score will be determined as the annual cloud migration evaluation score.

9. The method for digital transformation of industrial enterprises according to claim 8, characterized in that: The degree of cloud migration of users or industrial enterprises is determined based on the annual cloud migration evaluation score. Primary industry: If the annual cloud evaluation score is greater than or equal to 80 points, it is judged as A level; Primary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class B; Primary industry: If the annual cloud evaluation score is greater than or equal to 60 points and less than 70 points, it is judged as Class C; Primary industry: If the annual cloud evaluation score is less than 60, it will be judged as D level; Secondary industry: If the annual cloud evaluation score is greater than or equal to 80 points, it is judged as A-level; Secondary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class B; Secondary industry: If the annual cloud evaluation score is greater than or equal to 60 points and less than 70 points, it is judged as Class C; Secondary industry: If the annual cloud evaluation score is less than 60, it will be judged as D level; Tertiary industry: If the annual cloud evaluation score is greater than or equal to 90 points, it is judged as A-level; Tertiary industry: If the annual cloud evaluation score is greater than or equal to 80 points and less than 90 points, it is judged as Class B; Tertiary industry: If the annual cloud evaluation score is greater than or equal to 70 points and less than 80 points, it is judged as Class C; Tertiary industry: If the annual cloud evaluation score is less than 70, it will be judged as D level.

10. A transformation method for the digital transformation system of an industrial enterprise based on any one of claims 1 to 6, characterized in that: Including unstructured data management methods, S11, build the minio server, and create the minio authentication key and data bucket through the client; S12, manage minio's private key and public key in the Nocas registry, create minio applications in the public service microservice, and build upload and download interfaces for single files and / or multiple files; S13, calling the back-end file upload and download interfaces in the front-end management system and the back-end management system, and realizing the file upload, download and preview functions through code functions; S14, visually manage all files through the minio client. The management methods include viewing and downloading files, and you can also classify and manage files by module and date.

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