Data platform based on industrial internet

Abstract

The invention discloses a data platform based on an industrial internet, and relates to the technical field of industrial data platforms, and the platform is composed of an emerging technology adaptation value analysis module, a customized adaptation strategy analysis module, an initial user explanation customization module and a user explanation customization adjustment module. When an emerging technology accesses a target industrial data platform, an access adaptation value is evaluated through an adaptation value analysis module; according to the value, a customized adaptation strategy analysis module determines a technical adaptation difficulty level and formulates an adaptation strategy, after access is completed, an initial user explanation customization module formulates an initial explanation strategy for each operator, and finally, a user explanation customization adjustment module adjusts the initial strategy of each operator according to evaluation and analysis after an operation cycle, so that the adaptation difficulty level of the technical adaptation is determined, and the adaptation strategy is formulated. And efficient access of the platform to the emerging technology and good understanding and application of the user to the technology are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial data platforms, and in particular to a data platform based on the industrial Internet. Background Art

[0002] In recent years, emerging technologies such as artificial intelligence, big data, blockchain, and 5G have made continuous breakthroughs and gradually matured. In the industrial field, these technologies provide unprecedented opportunities for improving production efficiency, optimizing supply chain management, and realizing intelligent decision-making. In order to maintain their advantages in the fierce market competition, industrial enterprises are in urgent need of introducing emerging technologies to enhance their competitiveness. However, different emerging technologies have different characteristics and requirements, and it is not easy to adapt them to existing industrial data platforms. Therefore, a mechanism and platform that can effectively analyze the compatibility of emerging technologies with industrial data platforms is needed to ensure that emerging technologies can be smoothly connected and maximize their effectiveness.

[0003] Prior art, such as the invention application patent with announcement number: CN117035916A, discloses an integrated network consultation information management system and method based on a cloud platform, wherein the data collection module is used to collect consultation targets and user consultation data information; the consultation target comparison model compares the data information of the consultation targets in the cloud platform to obtain the authenticity of the consultation targets; the data analysis module analyzes the similarity values ​​and abnormal data information of the data information between the consultation targets on the cloud platform and analyzes the false consultation targets; the alarm reminder module reminds the publisher of the false consultation targets when the number of false consultation targets uploaded to the cloud platform exceeds a preset threshold, and limits the number of times the publisher replies to user consultations in the cloud platform. The present invention eliminates false consultation targets by analyzing the consultation targets on the cloud platform, thereby reducing user consultation time and improving the viscosity between the cloud platform and users.

[0004] In view of the above scheme, the inventors of this application found that the above technology has at least the following technical problems: 1. The existing technology usually adopts a unified adaptation strategy to handle the access of different emerging technologies, and does not divide the technical adaptation difficulty level according to the access adaptation value of the emerging technology, and formulate corresponding adaptation strategies. However, this scheme has formulated detailed and targeted strategies for different difficulty levels, such as the seamless adaptation level emphasizes the rapid completion of hardware connection and evaluates performance every week; the optimization adaptation level focuses on interface optimization and hardware parameter adjustment, and evaluates performance every three days; the tough adaptation level is implemented in stages and integrates resources from multiple parties, and evaluates performance every day. The "one-size-fits-all" strategy of the existing technology cannot meet the personalized adaptation needs of different emerging technologies, resulting in low adaptation efficiency and may even affect the overall performance of the platform.

[0005] 2. Existing technologies generally provide general explanations of emerging technologies for all operators, without considering the differences in the roles and responsibilities of operators and the difficulty levels of adapting emerging technologies. However, this solution first determines the corresponding set of user-friendly explanation strategies according to the difficulty levels of adapting emerging technologies, and then matches personalized initial user-friendly explanation strategies for each operator in combination with the roles and responsibilities of the operators, which can better meet the needs of different operators and improve their understanding and application abilities of emerging technologies. At the same time, existing technologies often lack subsequent evaluation and adjustment mechanisms after providing explanations to operators. This solution sets an operation cycle, calculates the explanation comprehensibility evaluation value by obtaining evaluation parameters such as knowledge mastery test scores, key concept comprehension rates, learning progress advancement speeds, and case matching degrees, and compares it with the adjustment plan in the database to dynamically adjust the user-friendly explanation strategies of operators to adapt to the actual learning and usage situations of operators.

[0006] 3. Existing technologies use subjective judgments or simple rules of thumb to evaluate the access adaptability of emerging technologies and lack professional evaluation models for quantitative analysis. This unscientific evaluation method results in low accuracy and reliability of evaluation results, easily leading to incorrect access decisions, often only focusing on some functional characteristics of emerging technologies, such as only considering data processing speed while ignoring other important functional indicators such as data encryption strength, real-time response duration, and concurrent processing efficiency. There is also a lack of systematic evaluation of the technological development characteristics and the impact characteristics on existing industrial systems. For example, potential development factors such as the proportion of technology R & D investment, the reserve of technical talents, and academic attention are not considered, as well as the impact on existing industrial systems such as the change rate of energy consumption, the cost of system compatibility, and the change rate of the total process duration, resulting in an inability to comprehensively understand the adaptation of emerging technologies to the target industrial data platform. Summary of the Invention

[0007] Aiming at the above-mentioned existing technical deficiencies, the object of the present invention is to provide an industrial Internet-based data platform.

[0008] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an industrial Internet-based data platform, including: An emerging technology adaptation value analysis module: used to analyze the access adaptation value corresponding to the emerging technology in the target industrial data platform when there is an emerging technology to be accessed in the target industrial data platform.

[0009] A customized adaptation strategy analysis module: used to analyze the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform according to the access adaptation value corresponding to the emerging technology in the target industrial data platform, and further analyze the adaptation strategy corresponding to the emerging technology in the target industrial data platform.

[0010] Initial user explanation customization module: used to analyze the initial user explanation strategy corresponding to each operator in the target industrial data platform after the integration of emerging technologies in the target industrial data platform is completed.

[0011] User explanation customized adjustment module: It is used to set the operation cycle after each operator in the target industrial data platform operates according to the corresponding initial user explanation easy-to-understand strategy, and then analyze the adjustment plan corresponding to the initial user explanation easy-to-understand strategy of each operator in the target industrial data platform after the operation cycle, and adjust the initial user explanation easy-to-understand strategy of each operator in the target industrial data platform after the operation cycle according to the corresponding adjustment plan.

[0012] The beneficial effects of the present invention are as follows: 1. In the embodiment of the present invention, the technical functional characteristics, technical development characteristics and the impact characteristics of the existing industrial system of the emerging technology are comprehensively considered through the characteristic evaluation value analysis unit. Starting from multiple specific indicators such as data encryption strength and real-time response time, the applicability of the emerging technology to the target industrial data platform is comprehensively evaluated to avoid focusing on a single dimension and ignoring other important factors, so as to ensure that the accessed emerging technology can be fully considered in terms of function, development potential and impact on the existing system. At the same time, according to the access adaptation value, the technical adaptation difficulty level is divided into seamless adaptation level, optimized adaptation level and tough adaptation level. This division method can accurately reflect the difficulty of accessing emerging technologies, lay the foundation for formulating targeted adaptation strategies, and formulate detailed and targeted adaptation strategies for different technical adaptation difficulty levels. The seamless adaptation level emphasizes fast access and conventional monitoring; the optimized adaptation level focuses on interface optimization, hardware adjustment and more frequent performance monitoring; the tough adaptation level ensures successful adaptation through phased implementation, strict testing and integration of multiple resources. These strategies fully consider the actual needs under different difficulties, improve the efficiency and success rate of adaptation, and ensure the stable operation of the platform after accessing emerging technologies.

[0013] 2. In the implementation example of this solution, through the initial user explanation customization module, the corresponding user explanation easy-to-understand strategy collection is first determined according to the technical adaptation difficulty level of the emerging technology, and then the personalized initial user explanation easy-to-understand strategy is matched for each operator in combination with the role and responsibilities of each operator. This method fully considers the work characteristics of the operator and the complexity of the emerging technology, ensures that the provided explanation strategy can meet the actual needs of different operators, helps operators to better understand and apply emerging technologies, improve work efficiency and accuracy, and fully understand the operator's acceptance and understanding of the initial explanation strategy, so as to determine the adjustment plan for each operator's initial user explanation easy-to-understand strategy. This quantitative evaluation and dynamic adjustment mechanism can timely optimize the explanation strategy according to the actual feedback of the operator, ensure that the explanation strategy is always adapted to the operator's learning and application situation, and continuously improve the operator's understanding and application ability of emerging technologies.

[0014] 3. In the embodiment of this solution, a performance monitoring index system with different frequencies is set for different levels of technical adaptation difficulty, ranging from weekly to daily, to comprehensively and timely grasp the performance changes of the platform. This hierarchical monitoring method can flexibly adjust the monitoring frequency according to different situations of emerging technology access, ensure timely discovery of potential problems, and guarantee the stability of the overall platform performance. The entire data platform conducts analysis and decision-making based on a large amount of evaluation data. Whether it is the access evaluation of emerging technologies, the adjustment of adaptation strategies, or the optimization of user explanation strategies, it is data-driven. This data-driven mode helps to deeply explore the problems and potential optimization points in the platform operation, realize the continuous improvement and efficient operation of the platform, continuously enhance the platform's acceptance and application capabilities of emerging technologies, and maintain the competitiveness of the platform in the industrial Internet environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0018] As shown in the embodiments of the present invention Figure 1 A data platform based on the industrial Internet includes: an emerging technology adaptation value analysis module, a customized adaptation strategy analysis module, an initial user explanation customization module, a user explanation customization adjustment module, and a database.

[0019] It should be noted that the database is used to store the access adaptation value intervals corresponding to different levels of technical adaptation difficulty and the technical adaptation difficulty levels corresponding to the collections of operator explanation easy-to-understand strategies. The database is also used to store the roles and responsibilities corresponding to each operator explanation easy-to-understand strategy in each collection of user explanation easy-to-understand strategies and the explanation easy-to-understand evaluation value intervals corresponding to each adjustment plan.

[0020] The customized adaptation strategy analysis module is respectively connected to the emerging technology adaptation value analysis module and the initial user interpretation customization module. The initial user interpretation customization module is connected to the user interpretation customization adjustment module. The database is respectively connected to the customized adaptation strategy analysis module, the initial user interpretation customization module, and the user interpretation customization adjustment module.

[0021] Emerging technology adaptation value analysis module: It is used to analyze the access adaptation value corresponding to the emerging technology in the target industrial data platform when there is an emerging technology that needs to be accessed in the target industrial data platform.

[0022] In a specific embodiment, the emerging technology adaptation value analysis module further includes a characteristic evaluation value analysis unit.

[0023] The characteristic evaluation value analysis unit is used to obtain the technical function characteristics, technical development characteristics, and existing industrial system impact characteristics corresponding to the emerging technology in the target industrial data platform. The technical function characteristics include data encryption intensity, real-time response duration, and concurrent processing efficiency. The technical development characteristics include the proportion of technology R & D investment, the reserve of technical talents, and academic attention. The existing industrial system impact characteristics include the energy consumption change rate, system compatibility cost, and total process duration change rate. Then, the technical function characteristic evaluation value, technical development characteristic evaluation value, and existing industrial system impact characteristic factor corresponding to the emerging technology in the target industrial data platform are analyzed.

[0024] It should be noted that developers of emerging technologies usually describe in detail information such as the data encryption algorithm and encryption key length they adopt in technical documents. For example, if the AES (Advanced Encryption Standard) algorithm is adopted and the key length is 256 bits, its encryption intensity is higher compared to a 128-bit key length. By carefully studying the technical documents, the data encryption intensity of this technology can be initially understood. A simulation scenario similar to the actual business of the target industrial data platform is constructed, a request is sent to the emerging technology, and the time interval from sending the request to receiving the response is recorded. The test is repeated multiple times, and the average value is taken as the reference value of the real-time response duration. For example, in an industrial automation production scenario, a real-time query request for device status information is simulated, the response time of the system is statistically analyzed, and a professional stress test tool is used to simulate a large number of concurrent requests to conduct a stress test on the emerging technology. Observe the processing ability of the technology under different numbers of concurrent requests, including indicators such as the processing success rate and response time of the requests. For example, gradually increase the number of concurrent users, and record the number of concurrent users when the system starts to experience performance degradation to evaluate its concurrent processing efficiency.

[0025] It is also necessary to explain that it is necessary to communicate with R&D companies of emerging technologies to understand their investment in the R&D of the technology. Companies may provide more detailed and accurate R&D investment data, and learn about the personnel composition and number of their technical teams from R&D companies of emerging technologies. You can pay attention to the number of technical personnel with relevant professional skills and experience in the team, such as software development engineers, algorithm experts, data analysts, etc. At the same time, understand the talent recruitment plan and talent training mechanism of the company, evaluate its future technical talent reserve potential, and use professional academic databases such as IEEE, Xplore, ACM Digital Library, China National Knowledge Infrastructure, etc. to retrieve information such as the number of academic papers related to emerging technologies and the number of citations. The more papers, the higher the number of citations, and the sum of the number of papers and the number of citations is recorded as the attention level.

[0026] Once again, it is important to install energy metering equipment before and after the emerging technology is connected to the target industrial data platform to monitor the energy consumption of the system in real time. Record the energy consumption data before and after the connection and calculate the rate of change of energy consumption. For example, by installing smart meters to monitor electricity consumption and flow meters to monitor natural gas consumption, consult the supplier of the emerging technology about the cost required for its technology to be compatible with the existing industrial system. Suppliers usually provide detailed compatibility solutions and cost quotations based on the specific situation of the system, and use the existing business process monitoring system of the industrial data platform to record the execution time of each business process before and after the connection of the emerging technology. Compare the total process time before and after the connection and calculate the rate of change.

[0027] In a specific embodiment, the analysis obtains the technical function characteristic evaluation values, technical development characteristic evaluation values ​​and existing industrial system impact characteristic factors corresponding to the emerging technologies in the target industrial data platform. The specific analysis process is as follows: A1. The data encryption strength, real-time response time and concurrent processing efficiency corresponding to the emerging technologies in the target industrial data platform are used as input items and imported into the technical function characteristic evaluation value analysis model. After calculation and analysis of the technical function characteristic evaluation value analysis model, the technical function characteristic evaluation values ​​corresponding to the emerging technologies in the target industrial data platform are finally output.

[0028] It should be noted that the analysis process of the technical function characteristic evaluation value corresponding to the emerging technology in the target industrial data platform is as follows: the data encryption strength, real-time response time and concurrent processing efficiency corresponding to the emerging technology in the target industrial data platform are normalized, and the data encryption strength, real-time response time and concurrent processing efficiency corresponding to the emerging technology in the target industrial data platform after processing are recorded as , and , substitute into the analysis formula , and obtain the technical functional characteristics evaluation value corresponding to the emerging technologies in the target industrial data platform .

[0029] A2. The proportion of technology R&D investment, technical talent reserves and academic attention corresponding to the emerging technologies in the target industrial data platform are taken as input items and imported into the technology development characteristics evaluation value analysis model. After calculation and analysis by the technology development characteristics evaluation value analysis model, the technology development characteristics evaluation value corresponding to the emerging technologies in the target industrial data platform is finally output.

[0030] It should be noted that the technical development characteristic evaluation values ​​corresponding to the emerging technologies in the target industrial data platform are obtained by analyzing the technical function characteristic evaluation values ​​corresponding to the emerging technologies in the target industrial data platform according to the above-mentioned analysis process.

[0031] A3. The energy consumption change rate, system compatibility cost and total process duration change rate corresponding to the emerging technologies in the target industrial data platform are used as input items and imported into the existing industrial system impact characteristic factor analysis model. After calculation and analysis by the existing industrial system impact characteristic factor analysis model, the existing industrial system impact characteristic factors corresponding to the emerging technologies in the target industrial data platform are finally output.

[0032] It should be noted that the impact characteristic factors of existing industrial systems corresponding to emerging technologies in the target industrial data platform are obtained by analyzing the technical function characteristic evaluation values ​​corresponding to the emerging technologies in the target industrial data platform mentioned above.

[0033] In a specific embodiment, the access adaptation value corresponding to the emerging technology in the target industrial data platform is analyzed, and the specific analysis process is as follows: the technical function characteristic evaluation value, the technical development characteristic evaluation value and the existing industrial system impact characteristic factor corresponding to the emerging technology in the target industrial data platform are respectively recorded as , and , substitute into the calculation formula: In the example above, we can obtain the access adaptation value corresponding to the emerging technology in the target industrial data platform. ,in, , They are the standard technology functional characteristic evaluation value and standard technology development characteristic evaluation value corresponding to the set emerging technologies, respectively. , They are the weight factors corresponding to the evaluation values ​​of the technical function characteristics of the emerging technologies and the weight factors corresponding to the evaluation values ​​of the technical development characteristics. Represents a natural constant.

[0034] It should be noted that , Both are greater than 0 and less than 1.

[0035] It should also be noted that an expert team consisting of industrial experts, technical experts, data analysts, etc. is organized. Based on their rich experience and professional knowledge in the industry, the experts conduct multiple rounds of discussions and feedback through methods such as the Delphi method to reach a relatively consistent opinion on weight allocation, and then determine the evaluation values of the standard technical function characteristics and the standard technical development characteristics corresponding to the emerging technologies. At the same time, a large amount of data on the application of emerging technologies in projects or systems similar to the target industrial data platform is collected, including data such as the evaluation values of technical function characteristics, the evaluation values of technical development characteristics, and the final access adaptation effect. Statistical analysis methods, such as principal component analysis and factor analysis, are used to analyze the correlation between each characteristic and the access adaptation effect, and the weight factors are determined according to the strength of the correlation. For example, if it is found that the data encryption intensity in the technical function characteristics has the strongest correlation with the access adaptation effect, a relatively high weight can be given to it during weight allocation.

[0036] Customized adaptation strategy analysis module: It is used to analyze the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform according to the access adaptation value corresponding to the emerging technology in the target industrial data platform, and then analyze the adaptation strategy corresponding to the emerging technology in the target industrial data platform.

[0037] In a specific embodiment, the process of analyzing the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform is as follows: The access adaptation value corresponding to the emerging technology in the target industrial data platform is compared with the access adaptation value intervals corresponding to each technical adaptation difficulty level in the database. If the access adaptation value corresponding to the emerging technology in the target industrial data platform is within the access adaptation value interval corresponding to a certain technical adaptation difficulty level in the database, then the technical adaptation difficulty level in the database is recorded as the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform. The technical adaptation difficulty levels include seamless adaptation level, optimized adaptation level, and breakthrough adaptation level.

[0038] In a specific embodiment, the process of analyzing the adaptation strategy corresponding to the emerging technology in the target industrial data platform is as follows: B1. If the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform is the seamless adaptation level, then quickly complete the hardware connection, software integration, and network configuration work according to the standard process. After access, carry out data synchronization work as soon as possible to ensure that the data generated by the emerging technology can be accurately transmitted to the data storage system of the platform. At the same time, verify the synchronized data, check the integrity and accuracy of the data, establish a performance monitoring index system, and evaluate its impact on the overall performance of the platform every week.

[0039] B2. If the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform is the optimized adaptation level, a standardized interface protocol shall be adopted to ensure seamless docking between different software. At the same time, conduct stress tests and performance optimizations on the interfaces to prevent data transmission bottlenecks. Fine-tune the hardware device parameters of the emerging technology to achieve the best matching state with the hardware environment of the target industrial data platform. Adjust the signal strength and transmission rate parameters of the new devices to adapt to the existing network bandwidth and communication protocol of the platform. At the same time, enhance the compatibility between hardware by installing driver update packages and using adapter devices. Establish a performance monitoring index system and evaluate its impact on the overall performance of the platform every three days.

[0040] B3. If the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform is the breakthrough adaptation level, divide the adaptation work into multiple stages. Set clear goals and acceptance criteria for each stage. In the first stage, complete the preliminary access of hardware devices and the installation of basic software. In the second stage, conduct data collection and preliminary processing. In the third stage, achieve the full integration of the software system and the preliminary optimization of business processes. After each stage is completed, conduct strict tests and evaluations. The test contents include functional tests, performance tests, security tests, and compatibility tests. Only after passing the tests can the work enter the next stage. Integrate various resources inside and outside the enterprise to provide strong support for the adaptation work. Cooperate with suppliers to obtain technical support and equipment resources. Cooperate with scientific research institutions to carry out technology research and development and innovation. Allocate the human, material, and financial resources within the enterprise. Establish a performance monitoring index system and evaluate its impact on the overall performance of the platform every day.

[0041] Initial user interpretation customization module: used to analyze the initial user interpretation and easy-to-understand strategies corresponding to each operator in the target industrial data platform after the access of emerging technologies in the target industrial data platform is completed.

[0042] In a specific embodiment, the analysis of the initial user interpretation and easy-to-understand strategies corresponding to each operator in the target industrial data platform is as follows: C1. Compare the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform with the technical adaptation difficulty levels corresponding to the collection of initial user interpretation and easy-to-understand strategies of each operator in the database. If the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform is the same as the technical adaptation difficulty level corresponding to a collection of user interpretation and easy-to-understand strategies in the database, then record the collection of user interpretation and easy-to-understand strategies in the database as the collection of user interpretation and easy-to-understand strategies corresponding to the emerging technology in the target industrial data platform.

[0043] C2. Obtain the roles and responsibilities corresponding to each operator in the target industrial data platform, and compare the roles and responsibilities corresponding to each operator in the target industrial data platform with the roles and responsibilities corresponding to the easy-to-understand strategies of each operator in the collection of user-friendly explanation strategies corresponding to emerging technologies in the target industrial data platform. If the roles and responsibilities corresponding to a certain user in the target industrial data platform are the same as the roles and responsibilities corresponding to the easy-to-understand strategy of a certain user in the collection of user-friendly explanation strategies corresponding to emerging technologies in the target industrial data platform, then record the easy-to-understand strategy of this user in the collection of user-friendly explanation strategies corresponding to emerging technologies in the target industrial data platform as the initial user-friendly explanation strategy corresponding to each operator in the target industrial data platform.

[0044] User explanation customization adjustment module: Used to set the operation cycle after each operator in the target industrial data platform runs according to the corresponding initial user-friendly explanation strategy, and then analyze the adjustment plan corresponding to the initial user-friendly explanation strategy of each operator in the target industrial data platform after the operation cycle, and adjust the initial user-friendly explanation strategy of each operator in the target industrial data platform after the operation cycle according to the corresponding adjustment plan.

[0045] In a specific embodiment, the user explanation customization adjustment module further includes an easy-to-understand evaluation parameter acquisition unit and an easy-to-understand evaluation value analysis unit.

[0046] The easy-to-understand evaluation parameter acquisition unit is used to obtain the initial user-friendly explanation evaluation parameters corresponding to each operator in the target industrial data platform after the operation cycle. The initial user-friendly explanation evaluation parameters include knowledge mastery test scores, key concept understanding rates, learning progress advancement speeds, and case matching degrees.

[0047] It should be noted that according to the knowledge system of the target industrial data platform, covering aspects such as platform operations, data processing, business processes, etc., a comprehensive set of test questions is designed. The question types can include multiple-choice questions, fill-in-the-blank questions, short-answer questions, practical operation questions, etc., to comprehensively examine the operator's mastery of knowledge. Let each operator take the test within the specified time. It can be carried out by using an online test platform or an offline paper test paper to ensure the fairness and standardization of the test environment. According to the preset standard answers and scoring criteria, score the operator's test paper or online answers. Sort out the key concepts in the target industrial data platform, such as data encryption, real-time response, concurrent processing, etc., to form a list of key concepts. For each key concept, design relevant questions in the form of multiple-choice questions, true or false questions, or short-answer questions, and let the operator answer them to understand their understanding of the key concepts. Compare the number of key concepts correctly understood and mastered by the operator with the total number of key concepts to obtain the key concept understanding rate. According to the training plan and knowledge system of the target industrial data platform, divide the learning content into several stages, and set clear learning objectives and time nodes for each stage. Use the learning management system or the learning tracking function built into the platform to record information such as the start time, completion time, learning duration, and the number of learning tasks completed by the operator in each learning stage. Evaluate the progress of learning by comparing the actual time taken by the operator to complete each learning stage with the preset time, or by calculating the amount of learning tasks completed by the operator per unit time. For example, calculate the number of learning modules completed by each operator per week, or calculate the time taken from the start of learning to the completion of a certain proportion of the learning content. Collect actual application cases related to the target industrial data platform, including successful cases and failure cases, and organize them into a case library. The cases should cover different business scenarios, technical applications, and problem-solving situations. Provide some specific case scenarios and problems to the operator, and require them to analyze the technologies, business processes, problem-solving methods, etc. involved in the cases, and put forward their own opinions and solutions. Compare the operator's analysis results with the actual situation and standard answers of the cases to evaluate whether their understanding and analysis of the cases are accurate and comprehensive, and whether the proposed solutions are reasonable and feasible. Give corresponding scores or ratings according to the matching degree, and use this as a measure of the case matching degree.

[0048] The aforementioned explanation comprehensibility evaluation unit is used to analyze and obtain the explanation comprehensibility evaluation value corresponding to each operator in the target industrial data platform after the operation cycle according to the initial user explanation comprehensibility evaluation parameters corresponding to each operator in the target industrial data platform after the operation cycle.

[0049] In a specific embodiment, the obtained interpretable evaluation values corresponding to each operator in the target industrial data platform after the operation cycle are analyzed. The specific analysis process is as follows: Denote the knowledge mastery test scores, key concept understanding rates, learning progress advancement speeds, and case matching degrees corresponding to each operator in the target industrial data platform after the operation cycle as 、 、 and , where a represents the number corresponding to each operator, , is an arbitrary integer greater than 2. Substitute it into the calculation formula: to obtain the interpretable evaluation value corresponding to each operator in the target industrial data platform after the operation cycle. Among them, 、 、 、 are the set standard knowledge mastery test scores, standard key concept understanding rates, standard learning progress advancement speeds, and standard case matching degrees corresponding to the operator respectively, 、 、 、 are the weight factors corresponding to the operator's knowledge mastery test score, key concept understanding rate, learning progress advancement speed, and case matching degree respectively.

[0050] It should be noted that 、 、 、 are all greater than 0 and less than 1.

[0051] It should also be noted that an expert team composed of industrial domain experts, technical experts, data analysts, etc. is organized. Based on their rich experience and professional knowledge in the industry, the experts conduct multiple rounds of discussions and feedback through methods such as the Delphi method to reach a relatively consistent opinion on the weight distribution, and then determine the standard knowledge mastery test score, standard key concept understanding rate, standard learning progress advancement speed, and standard case matching degree corresponding to the operator. At the same time, a large number of knowledge mastery test scores, key concept understanding rates, learning progress advancement speeds, and case matching degrees corresponding to the operator are collected. Using statistical analysis methods, the correlation between each initial user interpretable evaluation parameter and the interpretable effect is analyzed, and the weight factor is determined according to the strength of the correlation.

[0052] In a specific embodiment, the adjustment schemes corresponding to the initial user's easy-to-understand strategies of each operator in the target industrial data platform after the analysis operation cycle are analyzed as follows: Compare the easy-to-understand evaluation values corresponding to each operator in the target industrial data platform after the operation cycle with the easy-to-understand evaluation value intervals corresponding to each adjustment scheme in the database. If the easy-to-understand evaluation value corresponding to a certain operator in the target industrial data platform after the operation cycle is within the easy-to-understand evaluation value interval corresponding to a certain adjustment scheme in the database, then use the adjustment scheme in the database as the adjustment scheme corresponding to the initial user's easy-to-understand strategies of each operator in the target industrial data platform after the operation cycle. In this way, analyze the adjustment schemes corresponding to the initial user's easy-to-understand strategies of each operator in the target industrial data platform after the operation cycle.

[0053] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A data platform based on the industrial Internet, characterized in that: include: Emerging technology adaptation value analysis module: used to analyze the access adaptation value corresponding to the emerging technology in the target industrial data platform when the target industrial data platform has emerging technologies that need to be accessed; Customized adaptation strategy analysis module: used to analyze the technical adaptation difficulty level of emerging technologies in the target industrial data platform according to the access adaptation value of emerging technologies in the target industrial data platform, and then analyze the adaptation strategy of emerging technologies in the target industrial data platform; Initial user explanation customization module: used to analyze the initial user explanation strategies corresponding to each operator in the target industrial data platform after the integration of emerging technologies in the target industrial data platform is completed; User explanation customized adjustment module: It is used to set the operation cycle after each operator in the target industrial data platform operates according to the corresponding initial user explanation easy-to-understand strategy, and then analyze the adjustment plan corresponding to the initial user explanation easy-to-understand strategy of each operator in the target industrial data platform after the operation cycle, and adjust the initial user explanation easy-to-understand strategy of each operator in the target industrial data platform after the operation cycle according to the corresponding adjustment plan.

2. The data platform based on the industrial Internet as claimed in claim 1, characterized in that: The emerging technology adaptation value analysis module also includes a characteristic evaluation value analysis unit; The characteristic evaluation value analysis unit is used to obtain the technical function characteristics, technical development characteristics and existing industrial system impact characteristics corresponding to the emerging technologies in the target industrial data platform. The technical function characteristics include data encryption strength, real-time response time and concurrent processing efficiency; the technical development characteristics include the proportion of technology R&D investment, the amount of technical talent reserves and academic attention; the existing industrial system impact characteristics include the energy consumption change rate, system compatibility cost and the total process time change rate, and then analyze and obtain the technical function characteristic evaluation values, technical development characteristic evaluation values ​​and existing industrial system impact characteristic factors corresponding to the emerging technologies in the target industrial data platform.

3. The data platform based on industrial Internet as claimed in claim 2, characterized in that: The analysis obtains the technical function characteristic evaluation value, technical development characteristic evaluation value and existing industrial system impact characteristic factor corresponding to the emerging technology in the target industrial data platform. The specific analysis process is as follows: A1. The data encryption strength, real-time response time and concurrent processing efficiency corresponding to the emerging technologies in the target industrial data platform are taken as input items and imported into the technical function characteristic evaluation value analysis model. After calculation and analysis by the technical function characteristic evaluation value analysis model, the technical function characteristic evaluation value corresponding to the emerging technologies in the target industrial data platform is finally output; A2. Take the proportion of technology R&D investment, technical talent reserves and academic attention corresponding to the emerging technologies in the target industrial data platform as input items, import them into the technology development characteristics evaluation value analysis model, and finally output the technology development characteristics evaluation value corresponding to the emerging technologies in the target industrial data platform after calculation and analysis by the technology development characteristics evaluation value analysis model; A3. The energy consumption change rate, system compatibility cost and total process duration change rate corresponding to the emerging technologies in the target industrial data platform are used as input items and imported into the existing industrial system impact characteristic factor analysis model. After calculation and analysis by the existing industrial system impact characteristic factor analysis model, the existing industrial system impact characteristic factors corresponding to the emerging technologies in the target industrial data platform are finally output.

4. The data platform based on the industrial Internet as claimed in claim 3, characterized in that: The access adaptation value corresponding to the emerging technology in the target industrial data platform is analyzed, and the specific analysis process is as follows: The technical function characteristic evaluation value, technical development characteristic evaluation value and existing industrial system impact characteristic factor corresponding to the emerging technology in the target industrial data platform are recorded as , and , substitute into the calculation formula: In the example above, we can obtain the access adaptation value corresponding to the emerging technology in the target industrial data platform. ,in, , They are the standard technology functional characteristic evaluation value and standard technology development characteristic evaluation value corresponding to the set emerging technologies, respectively. , They are the weight factors corresponding to the evaluation values ​​of the technical function characteristics of the emerging technologies and the weight factors corresponding to the evaluation values ​​of the technical development characteristics. Represents a natural constant.

5. The data platform based on industrial Internet as claimed in claim 4, characterized in that: The technical adaptation difficulty level corresponding to the emerging technologies in the target industrial data platform is analyzed. The specific analysis process is as follows: The access adaptation value corresponding to the emerging technology in the target industrial data platform is compared with the access adaptation value interval corresponding to each technology adaptation difficulty level in the database. If the access adaptation value corresponding to the emerging technology in the target industrial data platform is within the access adaptation value interval corresponding to a certain technology adaptation difficulty level in the database, the technology adaptation difficulty level in the database is recorded as the technology adaptation difficulty level corresponding to the emerging technology in the target industrial data platform. The technology adaptation difficulty levels include seamless adaptation level, optimized adaptation level and tough adaptation level.

6. The data platform based on industrial Internet as claimed in claim 5, characterized in that: The adaptation strategies corresponding to the emerging technologies in the target industrial data platform are analyzed. The specific analysis process is as follows: B1. If the technical adaptation difficulty level of the emerging technology in the target industrial data platform is seamless adaptation, the hardware connection, software integration and network configuration should be completed quickly according to the standard process. After access, data synchronization should be carried out as soon as possible to ensure that the data generated by the emerging technology can be accurately transmitted to the platform's data storage system. At the same time, the synchronized data should be verified to check the integrity and accuracy of the data, and a performance monitoring indicator system should be established to evaluate its impact on the overall performance of the platform every week; B2. If the technical adaptation difficulty level of the emerging technology in the target industrial data platform is the optimized adaptation level, a standardized interface protocol is used to ensure seamless connection between different software. At the same time, stress testing and performance optimization of the interface are carried out to prevent data transmission bottlenecks. The hardware equipment parameters of the emerging technology are fine-tuned to achieve the best match with the hardware environment of the target industrial data platform. The signal strength and transmission rate parameters of the new equipment are adjusted to adapt to the existing network bandwidth and communication protocol of the platform. At the same time, the compatibility between hardware is enhanced by installing driver update packages and using adapter devices. A performance monitoring indicator system is established to evaluate its impact on the overall performance of the platform every three days. B3. If the technical adaptation difficulty level of the emerging technology in the target industrial data platform is the tough adaptation level, the adaptation work will be divided into multiple stages, with clear goals and acceptance criteria set for each stage. The first stage will complete the initial access of hardware equipment and the installation of basic software; The second stage is to collect and preliminarily process data; the third stage is to achieve comprehensive integration of the software system and preliminary optimization of business processes. After each stage is completed, rigorous testing and evaluation are carried out. The testing content includes functional testing, performance testing, security testing, and compatibility testing. Only after the test is passed can we proceed to the next stage of work. We integrate various resources inside and outside the enterprise to provide strong support for the adaptation work, cooperate with suppliers to obtain technical support and equipment resources, cooperate with scientific research institutions to carry out technological research and development and innovation, allocate human, material and financial resources within the enterprise, establish a performance monitoring indicator system, and evaluate its impact on the overall performance of the platform every day.

7. The data platform based on industrial Internet as claimed in claim 6, characterized in that: The initial user explanation and comprehension strategy corresponding to each operator in the target industrial data platform is analyzed, and the specific analysis process is as follows: C1. Compare the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform with the technical adaptation difficulty level corresponding to the collection of easy-to-understand strategies for operators in the database. If the technical adaptation difficulty level corresponding to the emerging technology in the target industrial data platform is the same as the technical adaptation difficulty level corresponding to a collection of easy-to-understand strategies for a certain user in the database, then record the collection of easy-to-understand strategies for the user in the database as the collection of easy-to-understand strategies for the user corresponding to the emerging technology in the target industrial data platform; C2. Obtain the roles and responsibilities corresponding to each operator in the target industrial data platform, and compare the roles and responsibilities corresponding to each operator in the target industrial data platform with the roles and responsibilities corresponding to each operator's easy-to-understand policy in the collection of easy-to-understand user-interpretation policies corresponding to emerging technologies in the target industrial data platform. If the roles and responsibilities corresponding to a user in the target industrial data platform are the same as the roles and responsibilities corresponding to a user's easy-to-understand policy in the collection of easy-to-understand user-interpretation policies corresponding to emerging technologies in the target industrial data platform, then the user's easy-to-understand policy in the collection of easy-to-understand user-interpretation policies corresponding to emerging technologies in the target industrial data platform is recorded as the initial user-interpretation policy corresponding to each operator in the target industrial data platform.

8. The data platform based on industrial Internet as claimed in claim 7, characterized in that: The user explanation customization adjustment module also includes an explanation comprehensibility evaluation parameter acquisition unit and an explanation comprehensibility evaluation value analysis unit; The easy-to-understand evaluation parameter acquisition unit is used to acquire the initial user easy-to-understand evaluation parameters corresponding to each operator in the target industrial data platform after the operation cycle, and the initial user easy-to-understand evaluation parameters include knowledge mastery test scores, key concept understanding rates, learning progress advancement speeds, and case matching degrees; The easy-to-understand evaluation value analysis unit is used to analyze and obtain the easy-to-understand evaluation value corresponding to each operator in the target industrial data platform after the operation cycle based on the initial user easy-to-understand evaluation parameters corresponding to each operator in the target industrial data platform after the operation cycle.

9. The data platform based on the industrial Internet as claimed in claim 8, characterized in that: The analysis obtains the interpretable evaluation value corresponding to each operator in the target industrial data platform after the operation cycle. The specific analysis process is as follows: The knowledge mastery test score, key concept understanding rate, learning progress speed and case matching degree of each operator in the target industrial data platform after the operation cycle are recorded as , , and , where a represents the number corresponding to each operator, , is any integer greater than 2, substitute it into the calculation formula: The corresponding easy-to-understand evaluation value of each operator in the target industrial data platform after the operation cycle is obtained ,in, , , , They are the standard knowledge mastery test scores, standard key concept understanding rates, standard learning progress speed, and standard case matching degrees corresponding to the set operators. , , , They are the weight factors corresponding to the set operator knowledge mastery test score, the weight factors corresponding to the key concept understanding rate, the weight factors corresponding to the learning progress speed, and the weight factors corresponding to the case matching degree.

10. The data platform based on industrial Internet as claimed in claim 9, characterized in that: The adjustment plan corresponding to the initial user explanation and understandable strategy of each operator in the target industrial data platform after the analysis operation cycle is as follows: The easy-to-understand evaluation value corresponding to each operator in the target industrial data platform after the operation cycle is compared with the easy-to-understand evaluation value interval corresponding to each adjustment plan in the database. If the easy-to-understand evaluation value corresponding to an operator in the target industrial data platform after the operation cycle is within the easy-to-understand evaluation value interval corresponding to an adjustment plan in the database, then the adjustment plan in the database will be used as the adjustment plan corresponding to the initial user-understand strategy for each operator in the target industrial data platform after the operation cycle. In this way, the adjustment plan corresponding to the initial user-understand strategy for each operator in the target industrial data platform after the operation cycle is analyzed.

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