Rapid planning system for digital level of manufacturing enterprise

Abstract

The invention provides a rapid planning system for the digital level of a manufacturing enterprise, and the system comprises a research recording module which is used for obtaining the operation information inputted by the manufacturing enterprise at a mobile terminal; the digital planning module is used for determining a current digital index according to the operation information and determining a digital rapid planning scheme according to the current digital index; and the evaluation result module is used for displaying the digital rapid planning scheme on the mobile terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of digital level planning, and in particular to a rapid planning system for the digital level of a manufacturing enterprise. Background Art

[0002] Digital transformation refers to enterprises taking digitalization as the basis, fully exploring and utilizing the value of digital assets, improving the digitalization, networking and intelligence level of their own R&D, production, operations and services, and thus optimizing their business efficiency and customer service experience. With the rapid development of advanced information technologies such as cloud computing, big data, industrial Internet, and blockchain, the manufacturing industry is undergoing a profound digital transformation, and the in-depth use of digital technologies is comprehensively reshaping the production system of the manufacturing industry.

[0003] Digital transformation is the all-round change and innovation carried out by enterprises in a digital environment, aiming to enhance the competitiveness and adaptability of enterprises; Patent CN108932145B provides a production optimization method based on big data, which is only applicable to enterprises that have completed preliminary digital transformation and cannot provide guidance for enterprises that are building a digital foundation from scratch. Summary of the invention

[0004] The present invention provides a rapid planning system for the digitalization level of manufacturing enterprises, which is used to solve the problem that the prior art cannot provide guidance to enterprises that build a digital foundation from scratch.

[0005] According to an embodiment of the present invention, a rapid planning system for the digitalization level of a manufacturing enterprise includes:

[0006] The survey record module is used to obtain the operation information input by the manufacturing enterprise on the mobile terminal;

[0007] A digital planning module is used to determine the current digital indicators based on the operation information and determine the digital rapid planning scheme based on the current digital indicators;

[0008] The evaluation result module is used to display the digital rapid planning solution on the mobile terminal.

[0009] As an embodiment of the present invention, the digital planning module performs the following operations:

[0010] The operating information of the manufacturing enterprise is quantified to obtain the enterprise status multidimensional dataset X, as shown below:

[0011] X={x_1, x_2, x_3, x_4,..., x_n}

[0012] Among them, x_n is the nth indicator of the current digital indicator;

[0013] Determine the target digital indicators for the digital transformation of manufacturing enterprises and obtain the target multidimensional dataset P as shown below;

[0014] P={p_1, p_2, p_3, p_4,..., p_k}

[0015] Among them, p_k is the kth indicator of the target digitalization indicator;

[0016] Determine the vector p_i of the target multidimensional dataset in the current status indicator space as follows:

[0017] p_i=(p_i1, p_i2, p_i3, p_i4,..., p_in)

[0018] Where p_in is the nth vector of the kth indicator in the target digitalization indicator, i∈[1, k];

[0019] Calculate the Euclidean distance between the enterprise status multidimensional data set and the target multidimensional data set to obtain the target Euclidean distance set D. The calculation formula is as follows:

[0020]

[0021] D={d_1, d_2, d_3, d_4,..., f_k}

[0022] Among them, d_i is the i-th Euclidean distance between the enterprise status multidimensional dataset and the target multidimensional dataset;

[0023] The digital fast planning scheme is determined according to the target Euclidean distance set D.

[0024] As an embodiment of the present invention, determining a digital fast planning scheme according to a target Euclidean distance set D includes:

[0025] According to the target Euclidean distance set D, several planning schemes are selected and the most suitable planning scheme is determined by calculation. The calculation formula is as follows:

[0026] s_i={min_i c_ia|i=1,2,3,…,k; a=1,2,…,m}

[0027]

[0028] Among them, s_i is the most suitable solution for the i-th current digitalization indicator to reach the target digitalization indicator, and m is the number of solutions that can be selected during the transformation process;

[0029] Traverse all target multidimensional data sets and obtain the digital fast planning solution S as follows:

[0030] S={s_1, s_2, s_3, s_4,..., s_k}

[0031] As an embodiment of the present invention, it also includes:

[0032] The evaluation record module is used to determine the evaluation model according to the operating information of the manufacturing enterprise, and to perform evaluation through the evaluation model to obtain evaluation result data.

[0033] As an embodiment of the present invention, the evaluation result recording module performs the following operations:

[0034] Obtain evaluation result data for display;

[0035] The evaluation result recording module also performs the following operations:

[0036] Get digital rapid planning solutions for presentation.

[0037] As an embodiment of the present invention, it also includes:

[0038] A case library to showcase the specific strategies and measures taken by different companies in their digital transformation process;

[0039] The risk and measures library is used to obtain questions raised by manufacturing companies and search the case library to obtain and display specific strategies and measures.

[0040] As an embodiment of the present invention, it also includes:

[0041] The log management module uses the centralized log management tool ELK Stack to collect, store, query and visualize the logs in system operation.

[0042] As an embodiment of the present invention, it also includes:

[0043] Database backup and recovery uses NineData data backup technology to back up the data and information generated during system operation.

[0044] On the other hand, the present invention also provides a method for rapid planning of digitalization level of manufacturing industry, comprising the following steps:

[0045] Obtain the operation information input by the manufacturing enterprise on the mobile terminal;

[0046] Determine the current digital indicators based on the operation information, and determine the digital rapid planning plan based on the current digital indicators;

[0047] Used to display digital rapid planning solutions on mobile devices.

[0048] Compared with the prior art, the present invention has the following beneficial effects: through the above technical solution, the system determines the current digital indicators of the manufacturing enterprise from the basic information of the manufacturing enterprise, and then determines the final digital rapid planning plan suitable for the current data indicators of the enterprise according to the current digital indicators, and finally guides the manufacturing enterprise through the digital rapid planning plan, which solves the problem that the prior art cannot guide enterprises that build a digital foundation from scratch. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A technical architecture diagram of an embodiment of the present invention;

[0050] Figure 2 A security architecture diagram of another embodiment of the present invention;

[0051] Figure 3 A schematic diagram of data backup according to another embodiment of the present invention;

[0052] Figure 4 A schematic diagram of a flow chart of another embodiment of the present invention;

[0053] Figure 5 It is a technical architecture diagram of another embodiment of the present invention. DETAILED DESCRIPTION

[0054] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0055] like Figures 1 to 3 As shown, the embodiment of the present invention proposes a rapid planning system for the digital level of a manufacturing enterprise, including:

[0056] The survey record module is used to obtain the operation information input by the manufacturing enterprise on the mobile terminal;

[0057] A digital planning module is used to determine the current digital indicators based on the operation information and determine the digital rapid planning scheme based on the current digital indicators;

[0058] Evaluation result module, used to display the digital rapid planning solution on the mobile terminal;

[0059] The working principle of the above technical solution is as follows: in actual use, the operation information input by the manufacturing enterprise on the mobile terminal is obtained through the survey record module; then the digital planning module determines the current digital indicators according to the operation information, and determines the digital rapid planning plan according to the current digital indicators; finally, the digital rapid planning plan is displayed on the mobile terminal through the evaluation result module; among them, the basic information includes the user information, basic enterprise information, and business information filled in when the manufacturing enterprise registers. When conducting surveys on manufacturing enterprises, this system provides survey record content entry management for manufacturing enterprises: by providing online form filling input: providing fields such as survey topic, survey time, and survey personnel Name, basic information of the survey object (such as name, age, company, etc.); according to the actual survey situation, type these basic information into the corresponding fields one by one; for the content of the survey, this system provides a text box or text area, supporting rich text editing; for the survey involving data quantification, this system provides a number input box or a drop-down menu to select the appropriate option; at the same time, it provides system interface import: supports Excel, professional data collection tools, OCR recognition and other external heterogeneous data import; among them, the mobile terminal is a comprehensive portal display platform for PC and mobile APP terminals, which is used for enterprise users, providing user login entrance, information result query, completing the interaction between users and the background and the output function of the final query result;

[0060] Among them, the specific process of determining the current digital indicators based on the operation information is as follows: Digital indicators mainly include weights and scores. For example, weights can be assigned to each dimension and specific indicator based on factors such as the industry and development stage of the enterprise: For data-driven enterprises (such as Internet companies and financial technology companies), the weight of the data management and analysis dimension can be set to 30%-40%; for manufacturing enterprises, the weight of the business process digitalization dimension can be appropriately increased to 30%-35%; the digital talent and culture dimension and the digital customer experience dimension can account for 15%-20% and 20%-25% respectively; and within each dimension, the weight can also be further subdivided; collect relevant information (operation data) of the enterprise and determine the score of each indicator, and calculate based on the weight to obtain the current digital indicators;

[0061] The beneficial effects of the above technical solution: Through the above technical solution, the system determines the current digital indicators of the manufacturing enterprise from the basic information of the manufacturing enterprise, and then determines the final digital rapid planning plan suitable for the current data indicators of the enterprise based on the current digital indicators. Finally, the manufacturing enterprise is guided by the digital rapid planning plan, which solves the problem that the existing technology cannot guide enterprises that build a digital foundation from scratch.

[0062] In one embodiment, the digital planning module performs the following operations:

[0063] The operating information of the manufacturing enterprise is quantified to obtain the enterprise status multidimensional dataset X, as shown below:

[0064] X={x_1, x_2, x_3, x_4,..., x_n}

[0065] Among them, x_n is the nth indicator of the current digital indicator;

[0066] Determine the target digital indicators for the digital transformation of manufacturing enterprises and obtain the target multidimensional dataset P as shown below;

[0067] P={p_1, p_2, p_3, p_4,..., p_k}

[0068] Among them, p_k is the kth indicator of the target digitalization indicator;

[0069] Determine the vector p_i of the target multidimensional dataset in the current status indicator space as follows:

[0070] p_i=(p_i1, p_i2, p_i3, p_i4,..., p_in)

[0071] Where p_in is the nth vector of the kth indicator in the target digitalization indicator, i∈[1, k];

[0072] Calculate the Euclidean distance between the enterprise status multidimensional data set and the target multidimensional data set to obtain the target Euclidean distance set D. The calculation formula is as follows:

[0073]

[0074] D={d_1, d_2, d_3, d_4,..., f_k}

[0075] Among them, d_i is the i-th Euclidean distance between the enterprise status multidimensional dataset and the target multidimensional dataset;

[0076] Determine the digital fast planning scheme according to the target Euclidean distance set D;

[0077] The digital fast planning scheme is determined according to the target Euclidean distance set D, including:

[0078] According to the target Euclidean distance set D, several planning schemes are selected and the most suitable planning scheme is determined by calculation. The calculation formula is as follows:

[0079] s_i={min_i c_ia|i=1,2,3,…,k; a=1,2,…,m}

[0080]

[0081] Among them, s_i is the most suitable solution for the i-th current digital indicator to reach the target digital indicator, and m is the number of solutions that can be selected during the transformation process; among them, s_ia is the a-th solution for the i-th current digital indicator to reach the target digital indicator. The s_ia value is pre-set. The distance increment s_ia of solution a is determined by calculating the value of each dimension of the enterprise in the "enterprise digital level status indicator space" improved by solution a;

[0082] Traverse all target multidimensional data sets and obtain the digital fast planning solution S as follows:

[0083] S={s_1, s_2, s_3, s_4,..., s_k}

[0084] The working principle and beneficial effects of the above technical solution: In actual use, after the operation information is quantified, the current digital level of the user enterprise can be expressed through specific data, that is, the enterprise status multidimensional data set X is obtained; by calculating the Euclidean distance between the elements in the enterprise status multidimensional data set and the target multidimensional data set P, the distance between the user enterprise and the target digital transformation can be known; wherein, the target digitalization indicator can be preset, or the user enterprise can set it according to its own development and the degree of digitalization it wants to achieve; then, according to the Euclidean distance, all the preset schemes for the digital transformation in the system are determined, the fit c_ia of all the schemes is calculated, and the scheme with the highest fit is selected as the most suitable scheme, and then all the items of digital transformation are traversed to obtain the most suitable scheme for each direction that requires digital transformation, and obtain a digital rapid planning scheme; wherein, the multidimensional data after the quantification of the status of the enterprise's digital level is regarded as a vector in a multidimensional space, and the enterprise status space is the "enterprise digital level status indicator space"; the digital transformation goal has k indicators, and each goal also has a corresponding vector in the "enterprise digital level status indicator space".

[0085] In one embodiment, it further includes:

[0086] The evaluation record module is used to determine the evaluation model according to the operating information of the manufacturing enterprise, and to perform evaluation through the evaluation model to obtain evaluation result data.

[0087] The working principle and beneficial effects of the above technical solution: This system also provides online enterprise evaluation solutions in different dimensions based on national standards, industry standards, and evaluation model standards of other professional evaluation agencies; specifically, manufacturing enterprise users first need to register user information, basic enterprise information, business information, etc. in this system as the basic data for the evaluation algorithm; during the evaluation process, enterprise users can choose different evaluation models according to actual needs. This system has built-in evaluation frameworks for more than ten enterprise digital transformation maturity evaluation models. These models are based on the research and practical experience of the digital transformation of many enterprises, and comprehensively consider the company's strategic, organizational, technological, and cultural factors; this system will Based on the basic information filled in when registering the business, it recommends a suitable evaluation model, and also supports enterprise users to choose by themselves; enterprise users fill in information according to the model framework and submit it to the background for comprehensive evaluation; after selecting the evaluation model, the evaluation is carried out through the evaluation model to obtain the evaluation result data to express the degree of digitalization of the enterprise; among them, the evaluation record module has built-in mainstream evaluation models at home and abroad, such as Accenture China Enterprise Digital Transformation Prime Number Model, Huawei Open Digital Maturity Model, and SME Digitalization Level Evaluation Model; taking the "SME Digitalization Level Evaluation Indicators" as an example, the digital development level of SMEs is comprehensively evaluated from four dimensions: digital foundation, operation, management, and effectiveness.

[0088] In one embodiment, the evaluation result recording module performs the following operations:

[0089] Obtain evaluation result data for display;

[0090] The evaluation result recording module also performs the following operations:

[0091] Get digital rapid planning solutions for presentation.

[0092] The working principle and beneficial effects of the above technical solution: This system provides an evaluation result output query function. After the enterprise user completes the previous information input, the system analyzes the model algorithm and outputs the evaluation result data for display; and in the data planning module, according to the current actual situation of the enterprise, after giving a clear path planning and technical strategy according to the transformation stage, it will be displayed.

[0093] In one embodiment, it further includes:

[0094] A case library to showcase the specific strategies and measures taken by different companies in their digital transformation process;

[0095] The risk and measures library is used to obtain questions raised by manufacturing companies and search the case library to obtain and display specific strategies and measures.

[0096] Working principle and beneficial effects of the above technical solution: With the continuous deepening of digital transformation, this system continuously accumulates and updates the case library of digital transformation, including actual cases of more than ten industries, different scales and different stages at home and abroad, showing the specific strategies and measures of different enterprises in the process of digital transformation. These detailed strategies can provide specific operation examples for other enterprises when considering similar technology applications;

[0097] At the same time, based on the transformation case data of enterprises in various industries at home and abroad, this system analyzes and summarizes the case data, and gives risks and related suggestions at the technical, business process, organizational and data levels: At the technical level: mainly including technology selection risks, integration difficulties, and rapid technology updates. Enterprises face many digital technology options. If the selection is not appropriate, it may lead to poor system performance, inability to meet the needs of functions or excessive costs. Most enterprises do not have professional technical knowledge and find it difficult to make a decision; some enterprises usually have a certain information system foundation. In the process of digital transformation, the newly introduced digital technology and system need to be integrated with the existing system. This may encounter problems such as interface incompatibility and inconsistent data formats; at the business process level: mainly including process reengineering group, business terminal risks, and poor process optimization effects. Digital transformation often requires redesign and optimization of business processes, which may break the original working habits and power balance within the enterprise; in the process of business process transformation, especially in the switching stage between the old and new processes, business interruptions may occur; at the organizational level: mainly including difficulties in organizational structure change, talent shortages, and corporate culture conflicts. To adapt to digital transformation, companies may need to adjust their organizational structure, which may lead to problems such as unclear responsibilities and coordination difficulties between departments. At the data level, the risks mainly include data security and privacy risks, data quality issues, data governance and other risks. In the process of digital transformation, with the increase in data volume and the diversification of data sources, there will be more and more data, and there may be loopholes in data security and data quality.

[0098] In one embodiment, it further includes:

[0099] The log management module uses the centralized log management tool ELK Stack to collect, store, query and visualize the logs in system operation.

[0100] Working principle and beneficial effects of the above technical solution: This system uses the centralized log management tool ELKStack (Elasticsearch, Logstash, Kibana), which provides a complete solution for log collection, storage, query and visualization. Elasticsearch is used to store and query log data, Logstash is used to collect and process log data from different services, and Kibana is used to visualize logs and help analyze them.

[0101] In one embodiment, it further includes:

[0102] Database backup and recovery uses NineData data backup technology to back up the data and information generated during system operation.

[0103] The working principle and beneficial effects of the above technical solution: The data and information generated in this system adopt NineData data backup, and the "real-time backup data query" is used to quickly query and obtain recovery data, and quickly restore abnormal records, and the recovery time can be as low as seconds.

[0104] In one embodiment, Figure 5 As shown, this system adopts an integrated solution of microservice architecture, which is the basis for implementing the method provided by the present invention; specifically, the solution combines front-end and back-end services with proxy services; the following is the process of request processing:

[0105] Request distribution: When a task request is initiated, it will first be routed to the static resource area. Here, we use Nginx and Web containers to implement the design principle of dynamic and static separation, and forward the request to the application service area through HTTP reverse proxy;

[0106] Communication between microservices: In the application service area, each functional module and subsystem communicates through feign. When a microservice needs to provide external services, such as SMS interface, verification code interface or data interface, nginx proxies the service into a restful API through the gateway.

[0107] Internal services and resource sharing: database services and file services to support the data persistence and file management requirements of microservices;

[0108] Specifically, based on the integrated architecture, the technical architecture of this platform is mainly divided into five levels, extending from the user layer to the data warehouse:

[0109] When a user makes a request in the APP or front-end service (mobile terminal), the user layer is activated, data is generated from the task triggered by CronTrigger, and integrated into the data storage; the front-end display layer is quickly built through the template engine of the framework;

[0110] Secondly, the data generated by the user layer then enters the presentation layer. The presentation layer data is isolated by identity authority data. Users can view the system output results through the presentation layer. The presentation layer is implemented by the lightweight, low-code-invasive springmvc framework, and the configuration is simplified through annotations and other methods.

[0111] The simplified user layer information then enters the business service layer, which performs logical processing on specific functions and form data validation. The data generated by the business service layer then enters the data service layer, which processes the business logic involved in adding, modifying, and deleting.

[0112] Finally, the data generated in the above steps enters the data warehouse. The mybatis framework is introduced into the data warehouse, and the data is organized and stored in different tables or data models to support efficient query and analysis. Users or applications access the data warehouse through built-in SQL query or data analysis tools to perform data query, report generation, data mining and other operations to obtain business insights and decision support.

[0113] It should be noted that the service architecture of this system is based on the JavaEE specification and can be used on any application server that complies with the JavaEE specification; the platform application framework adopts a service-oriented architecture (SOA) that focuses on the functions and processes of the services and exchanges information based on XML; and solves the mutual access between homogeneous and heterogeneous applications through the Web Service standard interface.

[0114] In one embodiment, the present invention also takes system security into consideration and designs security solutions from the physical layer, network layer, system layer and application layer respectively, as follows:

[0115] At the physical layer, ensure that network equipment has a good electromagnetic compatibility environment; establish a complete computer room security management system to prevent illegal personnel from entering the network center to eavesdrop and sabotage activities;

[0116] At the network layer, the security of data stored in the network system and data transmitted on the communication line is protected. Network encryption can be implemented at the data link layer, network layer and application layer, using the SSL protocol, and data transmission messages are encrypted using digital certificates;

[0117] At the system level, use a Web Application Firewall (WAF) to protect Web applications from attacks such as SQL injection and cross-site scripting (XSS); regularly check application code to discover and fix security holes;

[0118] At the application layer, data storage encryption is used to perform desensitizing display of key information in logs and management systems, and 3DES encryption storage and desensitization processing of the database; the CFCA toolkit and digital signature technology are used to perform network identity authentication for operators.

[0119] like Figure 4 As shown, the present invention also provides a method for rapid planning of digital level of manufacturing industry, comprising the following steps:

[0120] Obtain the operation information input by the manufacturing enterprise on the mobile terminal;

[0121] Determine the current digital indicators based on the operation information, and determine the digital rapid planning plan based on the current digital indicators;

[0122] Used to display digital rapid planning solutions on mobile devices.

[0123] The working principle and beneficial effects of the above technical solution are as follows: by having clear technical priorities and implementation strategies at each stage of the manufacturing enterprise; specifically, this method is particularly aimed at enterprises in the initial stage of digitalization, and proposes a cost-effective implementation plan, which lowers the digitalization threshold for small and medium-sized enterprises; in addition, this method provides clear technical guidance for each stage, helping enterprises to clarify the direction and steps of digital transformation, and reducing the uncertainty and risks in the implementation process.

[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A rapid planning system for the digital level of manufacturing enterprises, characterized by: include: The survey record module is used to obtain the operation information input by the manufacturing enterprise on the mobile terminal; A digital planning module is used to determine the current digital indicators based on the operation information and determine the digital rapid planning scheme based on the current digital indicators; The evaluation result module is used to display the digital rapid planning solution on the mobile terminal.

2. A rapid planning system for the digital level of manufacturing enterprises as claimed in claim 1, characterized in that: The digital planning module performs the following operations: The operating information of the manufacturing enterprise is quantified to obtain the enterprise status multidimensional dataset X, as shown below: X={x_1, x_2, x_3, x_4,..., x_n} Among them, x_n is the nth indicator of the current digital indicator; Determine the target digital indicators for the digital transformation of manufacturing enterprises and obtain the target multidimensional dataset P as shown below; P={p_1, p_2, p_3, p_4,..., p_k} Among them, p_k is the kth indicator of the target digitalization indicator; Determine the vector p_i of the target multidimensional dataset in the current status indicator space as follows: p_i=(p_i1, p_i2, p_i3, p_i4,..., p_in) Where p_in is the nth vector of the kth indicator in the target digitalization indicator, i∈[1, k]; Calculate the Euclidean distance between the enterprise status multidimensional data set and the target multidimensional data set to obtain the target Euclidean distance set D. The calculation formula is as follows: D={d_1, d_2, d_3, d_4,..., d_k} Among them, d_i is the i-th Euclidean distance between the enterprise status multidimensional dataset and the target multidimensional dataset; The digital fast planning scheme is determined according to the target Euclidean distance set D.

3. A rapid planning system for the digital level of manufacturing enterprises as claimed in claim 2, characterized in that: The digital fast planning scheme is determined according to the target Euclidean distance set D, including: According to the target Euclidean distance set D, several planning schemes are selected and the most suitable planning scheme is determined by calculation. The calculation formula is as follows: s_i={min_ic_ia|i=1,2,3,…,k; a=1,2,…,m} Among them, s_i is the most suitable solution for the i-th current digitalization indicator to reach the target digitalization indicator, and m is the number of solutions that can be selected during the transformation process; Traverse all target multidimensional data sets and obtain the digital fast planning solution S as follows: S={s_1, s_2, s_3, s_4,..., s_k}.

4. A rapid planning system for the digital level of manufacturing enterprises as claimed in claim 1, characterized in that: Also includes: The evaluation record module is used to determine the evaluation model according to the operating information of the manufacturing enterprise, and to perform evaluation through the evaluation model to obtain evaluation result data.

5. A rapid planning system for the digital level of manufacturing enterprises as claimed in claim 1, characterized in that: The evaluation result recording module performs the following operations: Obtain evaluation result data for display; The evaluation result recording module also performs the following operations: Get digital rapid planning solutions for presentation.

6. A rapid planning system for the digital level of manufacturing enterprises as claimed in claim 1, characterized in that: Also includes: A case library to showcase the specific strategies and measures taken by different companies in their digital transformation process; The risk and measures library is used to obtain questions raised by manufacturing companies and search the case library to obtain and display specific strategies and measures.

7. A rapid planning system for the digitalization level of manufacturing enterprises as claimed in claim 1, characterized in that: Also includes: The log management module uses the centralized log management tool ELK Stack to collect, store, query and visualize the logs in system operation.

8. A rapid planning system for the digitalization level of manufacturing enterprises as claimed in claim 1, characterized in that: Also includes: Database backup and recovery uses NineData data backup technology to back up the data and information generated during system operation.

9. A method for rapid planning of digital level of manufacturing industry, characterized in that: The following steps are involved: Obtain the operation information input by the manufacturing enterprise on the mobile terminal; Determine the current digital indicators based on the operation information, and determine the digital rapid planning plan based on the current digital indicators; Used to display digital rapid planning solutions on mobile devices.

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