An industrial Internet information interaction method and system based on industrial algorithm

Abstract

The present invention discloses an industrial Internet information interaction method and system based on industrial algorithms, and relates to the technical field of industrial Internet information interaction. Through the blockchain recording module, data cannot be tampered with during the process of collection, processing and storage, ensuring the authenticity and transparency of information; this improvement enhances the trust basis of all parties and avoids the generation of information islands. The real-time data analysis module integrated in the system can quickly analyze the data standard set and calculate the equipment efficiency coefficient and energy consumption efficiency coefficient. This real-time feedback mechanism enables problems in the production process to be quickly identified and solved, improving production efficiency and resource utilization. The smart contract module automatically triggers contract execution according to real-time data, realizes the automation of information interaction, and reduces the need for human intervention. By automatically issuing alarms and adjusting production parameters, the system can more flexibly respond to equipment failures and excessive energy consumption problems, reducing production risks.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial Internet information interaction, and specifically to an industrial Internet information interaction method and system based on industrial algorithms. Background Art

[0002] In the context of the rapid development of digital transformation today, the Industrial Internet, as an important field, is gradually changing the operation mode of traditional manufacturing. The Industrial Internet combines advanced technologies such as the Internet of Things, cloud computing and big data analysis, and is committed to improving production efficiency and resource utilization. In this vast field, intelligent manufacturing, as a specific direction, is driving enterprises to transform towards intelligence and automation. By introducing advanced information interaction systems, enterprises can achieve more efficient production management.

[0003] In the invention patent with application publication number CN113992769B, an industrial Internet information exchange method is disclosed, which uses computer programs to achieve the unification of information exchange semantics between multi-source heterogeneous information systems. In order to achieve a unified semantic specification, a standard message data structure is used to enforce constraints on the information exchange of the source systems.

[0004] However, the above functions often have problems such as information islands, data opacity and delayed response. These problems make it impossible for various parts of the production process to work together efficiently, resulting in waste of resources and reduced production efficiency, making it difficult to quickly adapt to changes in market demand and equipment failures, which greatly reduces the real-time and flexibility of production management.

[0005] In addition, when data is transferred between different systems, information is often lost or erroneous, leading to decision delays and resource misallocation. This situation not only increases operating costs, but may also cause production safety risks, thus affecting the overall competitiveness of the enterprise. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an industrial Internet information interaction method and system based on industrial algorithms, which solves the problems mentioned in the background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an industrial Internet information interaction method and system based on industrial algorithms, including a data acquisition module, a data preprocessing module, a blockchain recording module, a smart contract module, a real-time data analysis module, a feedback and adjustment module, and a report generation module;

[0008] The data acquisition module collects various data on the production line in real time through sensors, including equipment operation status, production speed, energy consumption, ambient temperature and material usage, to form a data set W;

[0009] The data preprocessing module cleans, removes noise, fills in missing values ​​and performs standardization on the data set W obtained by the data acquisition module to obtain a data standard set W X ;

[0010] The blockchain recording module will obtain the data standard set W from the data preprocessing module X Data is stored on the blockchain to ensure data immutability and transparency, and provide basic data for smart contract modules;

[0011] The smart contract module receives the data standard set W from the blockchain record module X , automatically triggering contract execution, including issuing alarms and adjusting production parameters, based on preset conditions including abnormal equipment operation values ​​and excessive energy consumption values;

[0012] The real-time data analysis module is based on the data standard set W provided by the blockchain recording module. X , through the algorithm to the data standard set W X Conduct real-time analysis and calculate equipment efficiency coefficient E eff , energy efficiency coefficient E en and provide feedback;

[0013] The feedback and adjustment module automatically and manually adjusts production parameters including equipment speed V and material ratio M according to the real-time analysis results of the real-time data analysis module, and records the adjustment results to the blockchain recording module for storage;

[0014] The report generation module automatically generates production reports, including production efficiency, energy consumption and smart contract execution status, and provides them to management.

[0015] Preferably, the data acquisition module includes an equipment status monitoring unit and an environment and production parameter monitoring unit;

[0016] The equipment status monitoring unit collects equipment operation status information through position sensors, vibration sensors and power sensors, and the equipment operation status includes equipment status, fault status and operation efficiency;

[0017] The environment and production parameter monitoring unit collects data on production speed, energy consumption, ambient temperature and material usage. The production speed is collected through encoders and photoelectric sensors;

[0018] Energy consumption includes equipment power consumption collected through power sensors and energy monitors;

[0019] The ambient temperature is collected through temperature sensors, and the material usage is collected through weighing sensors and flow sensors. The equipment operation status, production speed, energy consumption, ambient temperature and material usage are summarized and combined into a data set W.

[0020] Preferably, the data preprocessing module includes a data cleaning and denoising unit and a missing value filling and standardization unit;

[0021] The data cleaning and denoising unit cleans the data set W, including deleting duplicate data and outliers, removing noise to improve data quality, identifying and processing outliers by setting thresholds and statistical methods, and processing the data set W, thereby obtaining a data processing set W. S ;

[0022] The missing value filling and standardization unit processing data processing set W S The missing values ​​in the data are filled by interpolation and mean filling, and standardized processing is performed to ensure that different features are compared at the same scale to form a standardized data set W. X .

[0023] Preferably, the blockchain recording module includes a data storage unit and a data verification and access unit;

[0024] The data storage unit stores the data standard set W obtained by the data preprocessing module X Store on the blockchain and perform storage operations to ensure that the data cannot be tampered with;

[0025] The data verification and access unit verifies the integrity and legitimacy of the data, ensuring that only authenticated users and modules access the data on the blockchain. The data verification and access unit is responsible for providing a data access interface for use by the smart contract module;

[0026] By using a hash function to verify the data standard set W X integrity;

[0027] H(W X ) = Hash (W X );

[0028] In the formula, Hash represents the hash function, H(W X ) represents the data standard set W X The hash value of the data is used as a unique identifier for data integrity and identity.

[0029] Preferably, the smart contract module includes a condition monitoring and triggering unit and a contract execution and feedback unit;

[0030] The condition monitoring and triggering unit receives the data standard set W from the blockchain recording module X , monitor abnormal values ​​of equipment operation and excessive energy consumption to automatically trigger contract execution;

[0031] The triggering contract formula is:

[0032] Trigger ;

[0033] In the formula, Trigger represents the trigger flag, 1 means the contract needs to be triggered, and 0 means the contract is not triggered; E ac Indicates the actual energy consumption value, E th Indicates the set energy consumption threshold;

[0034] The contract execution and feedback unit executes the corresponding contract after the condition is triggered, including issuing an alarm and adjusting production parameters. The contract execution and feedback unit is responsible for executing specific actions and feeding back the execution results to the system.

[0035] The system monitors the operating status and energy consumption of the equipment in real time, and decides whether to execute the contract by judging the value of the Trigger; once the contract is triggered, the system will automatically perform corresponding operations, such as issuing alarms and adjusting production parameters, to ensure the safety and efficiency of the production process.

[0036] Preferably, the real-time data analysis module includes a data analysis and calculation unit and a feedback information generation unit;

[0037] The data analysis and calculation unit obtains the data standard set W from the blockchain recording module X , use the preset algorithm to analyze the equipment's operating status and energy consumption data in real time, and calculate the equipment efficiency coefficient E eff , energy efficiency coefficient E en ;

[0038] The equipment efficiency coefficient E eff Obtained by the following formula:

[0039] E eff ;

[0040] Where P ac Indicates the actual energy consumption, P max Indicates the maximum design energy consumption of the equipment;

[0041] The energy efficiency coefficient E en Obtained by the following formula:

[0042] E en ;

[0043] Where V ac Actual production speed;

[0044] The feedback information generating unit generates feedback information according to the result of data analysis, including equipment efficiency and energy consumption efficiency, and provides the feedback information to relevant users.

[0045] Preferably, the feedback and adjustment module includes a parameter adjustment unit and a result recording unit;

[0046] The parameter adjustment unit is based on the analysis results of the real-time data analysis module, including the equipment efficiency coefficient E eff and energy efficiency coefficient E en , automatic and manual adjustment of production parameters including equipment speed V and material ratio M;

[0047] The adjustment formula of the equipment speed V is:

[0048] V new ;

[0049] Where V new Indicates the adjusted device speed; Indicates the adjustment ratio of the device speed;

[0050] The adjustment formula of the material ratio M is:

[0051] M new ;

[0052] In, M new Indicates the adjusted material ratio; Indicates the adjustment ratio of material proportion.

[0053] Through the real-time data analysis module, the equipment efficiency coefficient E eff The evaluation results are used to calculate:

[0054] ;

[0055] In the formula, E tar represents the preset equipment efficiency target value, and k represents the adjustment coefficient, which is used to control the adjustment range;

[0056] Set through historical data and empirical rules :

[0057] When the device efficiency is below the threshold, the device speed is increased by 10%.

[0058] When energy consumption exceeds the standard, the equipment speed will be reduced by 5%;

[0059] Based on the feedback from the production process, evaluate the efficiency and output of materials. If you find that the efficiency of a certain material is low, you can set the corresponding ;

[0060] Use industry standards or historical data to set ;

[0061] When the performance indicators of a specific material do not meet the standards, the proportion of the material should be appropriately increased.

[0062] When the reaction rate of the material is slow, its ratio can be appropriately increased to improve the reaction efficiency.

[0063] Operators are allowed to manually input the information based on the actual situation and experience on site. The system can provide an interface for the operator to input the ratio adjustment according to actual needs.

[0064] Preferably, the result recording unit records the adjusted production parameters and their effects in the blockchain recording module to ensure the transparency and non-tamperability of the adjustment process, while providing data support for subsequent analysis.

[0065] Preferably, the report generation module includes a data aggregation unit and a report generation unit;

[0066] The data aggregation unit obtains data on production efficiency, energy consumption and smart contract execution from the real-time data analysis module, the feedback and adjustment module and the smart contract module, and aggregates and organizes the data;

[0067] The production efficiency is obtained by the following formula:

[0068] EP ;

[0069] Where U ac Indicates the actual production volume, U max Indicates the maximum design production capacity;

[0070] The smart contract execution is obtained by the following formula:

[0071] C ex =Count(C triggered )+Count(C completed );

[0072] In the formula, C ex The count value representing the execution status of the smart contract, including the number of triggered and completed contracts, C triggered Indicates the number of contracts triggered, C completed Indicates the number of completed contracts;

[0073] The report generation unit automatically generates a production report based on the content of the data aggregation unit, formats the output report content, and provides it to the management to ensure the clarity and readability of the report.

[0074] An industrial Internet information interaction method based on industrial algorithms comprises the following steps:

[0075] Step 1: The data acquisition module collects various data on the production line in real time through sensors, including equipment operation status, production speed, energy consumption, ambient temperature and material usage, to form a data set W;

[0076] Step 2: The data preprocessing module cleans, denoises, fills in missing values, and standardizes the data set W obtained by the data acquisition module to obtain the data standard set W X ;

[0077] Step 3: The blockchain recording module obtains the data standard set W from the data preprocessing module X Data is stored on the blockchain to ensure data immutability and transparency, and provide basic data for smart contract modules;

[0078] Step 4: The smart contract module receives the data standard set W from the blockchain record module X , automatically triggering contract execution, including issuing alarms and adjusting production parameters, based on preset conditions including abnormal equipment operation values ​​and excessive energy consumption values;

[0079] Step 5: The real-time data analysis module is based on the data standard set W provided by the blockchain recording module X , through the algorithm to the data standard set W X Conduct real-time analysis and calculate equipment efficiency coefficient E eff , energy efficiency coefficient E en and provide feedback;

[0080] Step 6: The feedback and adjustment module automatically and manually adjusts production parameters including equipment speed V and material ratio M according to the real-time analysis results of the real-time data analysis module, and records the adjustment results to the blockchain recording module for storage;

[0081] Step 7: The report generation module automatically generates a production report, including production efficiency, energy consumption, and smart contract execution status, and provides it to management.

[0082] The present invention provides an industrial Internet information interaction method and system based on industrial algorithms, which have the following beneficial effects:

[0083] (1) When the system is running, through the blockchain recording module, the data cannot be tampered with during the collection, processing and storage process, ensuring the authenticity and transparency of the information. This improvement strengthens the trust basis of all parties and avoids the generation of information islands. The system's integrated real-time data analysis module can quickly analyze the data standard set and calculate the equipment efficiency coefficient and energy efficiency coefficient. This real-time feedback mechanism enables problems in the production process to be quickly identified and resolved, improving production efficiency and resource utilization.

[0084] The smart contract module automatically triggers contract execution based on real-time data, automates information exchange and reduces the need for human intervention. By automatically issuing alarms and adjusting production parameters, the system can respond more flexibly to equipment failures and excessive energy consumption, reducing production risks.

[0085] (2) The equipment status monitoring unit uses position, vibration and power sensors to comprehensively monitor the equipment operating status, so that the equipment status, fault status and operating efficiency can be accurately collected. This precise monitoring helps to detect potential problems in a timely manner and reduce equipment failure rates. The environment and production parameter monitoring unit collects production speed, energy consumption, ambient temperature and material usage through a variety of sensors to ensure multi-dimensional data coverage. This comprehensive parameter acquisition provides a rich information basis for subsequent analysis and improves the controllability of the production process.

[0086] The data preprocessing module effectively improves the quality of the data set by cleaning and denoising, identifying and processing duplicate data and outliers. It ensures that only high-quality data enters the subsequent analysis stage, thus avoiding decision-making errors caused by data errors. Missing value filling and standardization units ensure the integrity of the data through interpolation and mean filling methods, and perform standardization at the same time so that different features can be compared at the same scale.

[0087] (3) The condition monitoring and triggering unit of the smart contract module can automatically monitor equipment operation anomalies and energy consumption exceeding the standard, and immediately trigger the contract execution. This automated response mechanism greatly improves the response speed and reduces the delay caused by human intervention. The real-time data analysis module calculates the equipment efficiency coefficient E through the data analysis and calculation unit. eff and energy efficiency coefficient E en This real-time analysis can provide management with accurate information on production efficiency and energy consumption, helping to optimize production processes and resource allocation. The feedback information generation unit generates feedback information based on the data analysis results and provides it to relevant users in a timely manner. This function enables management and operators to respond quickly and make necessary adjustments, thereby improving production flexibility and efficiency.

[0088] (4) The parameter adjustment unit of the feedback and adjustment module can automatically or manually adjust the equipment speed V and material ratio M according to the real-time data analysis results. This flexibility enables the production process to quickly adapt to changes and improves the response speed and efficiency of the production line. The application of the adjustment formula makes the adjustment of equipment speed and material ratio scientifically based, reduces the blindness of manual decision-making, ensures that the adjustment is more in line with actual production needs, and thus improves production efficiency.

[0089] The result recording unit records the adjusted production parameters and their effects on the blockchain, ensuring the transparency and immutability of the adjustment process. This feature enhances management's trust in the adjustment process and provides a reliable basis for subsequent data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 This is a schematic diagram of a flow chart of an industrial Internet information interaction system based on an industrial algorithm of the present invention;

[0091] Figure 2 This is a schematic diagram of the steps of an industrial Internet information interaction method based on an industrial algorithm of the present invention. DETAILED DESCRIPTION

[0092] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0093] Example 1

[0094] The present invention provides an industrial Internet information interaction system based on industrial algorithms, please refer to Figure 1 , including data collection module, data preprocessing module, blockchain recording module, smart contract module, real-time data analysis module, feedback and adjustment module and report generation module;

[0095] The data acquisition module collects various data on the production line in real time through sensors, including equipment operation status, production speed, energy consumption, ambient temperature and material usage, to form a data set W;

[0096] The data preprocessing module cleans, removes noise, fills in missing values ​​and performs standardization on the data set W obtained by the data acquisition module to obtain a data standard set W X ;

[0097] The blockchain recording module will obtain the data standard set W from the data preprocessing module X Data is stored on the blockchain to ensure data immutability and transparency, and provide basic data for smart contract modules;

[0098] The smart contract module receives the data standard set W from the blockchain record module X , automatically triggering contract execution based on preset conditions including abnormal equipment operation values ​​and excessive energy consumption values, including issuing alarms and adjusting production parameters;

[0099] The real-time data analysis module is based on the data standard set W provided by the blockchain recording module. X , through the algorithm to the data standard set W X Conduct real-time analysis and calculate equipment efficiency coefficient E eff , energy efficiency coefficient E en and provide feedback;

[0100] The feedback and adjustment module automatically and manually adjusts production parameters including equipment speed V and material ratio M according to the real-time analysis results of the real-time data analysis module, and records the adjustment results to the blockchain recording module for storage;

[0101] The report generation module automatically generates production reports, including production efficiency, energy consumption and smart contract execution status, and provides them to management.

[0102] In this embodiment, through the blockchain recording module, the data cannot be tampered with during the collection, processing and storage process, ensuring the authenticity and transparency of the information. This improvement enhances the trust basis of all parties and avoids the generation of information islands. The system-integrated real-time data analysis module can quickly analyze the data standard set and calculate the equipment efficiency coefficient and energy efficiency coefficient. This real-time feedback mechanism enables problems in the production process to be quickly identified and resolved, improving production efficiency and resource utilization.

[0103] The smart contract module automatically triggers contract execution based on real-time data, automates information exchange, and reduces the need for human intervention. By automatically issuing alarms and adjusting production parameters, the system can respond more flexibly to equipment failures and excessive energy consumption, reducing production risks. The feedback and adjustment module automatically or manually adjusts equipment speed and material ratios based on real-time analysis results to ensure that production parameters are always in the best state, thereby optimizing production processes and improving product quality. The report generation module provides comprehensive reports on production efficiency, energy consumption, and smart contract execution, enabling management to obtain key information in a timely manner, thereby making more informed decisions and further enhancing the overall competitiveness of the enterprise.

[0104] Example 2

[0105] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the data acquisition module includes an equipment status monitoring unit and an environment and production parameter monitoring unit;

[0106] The equipment status monitoring unit collects equipment operation status information through position sensors, vibration sensors and power sensors, and the equipment operation status includes equipment status, fault status and operation efficiency;

[0107] The environment and production parameter monitoring unit collects data on production speed, energy consumption, ambient temperature and material usage. The production speed is collected through encoders and photoelectric sensors;

[0108] Energy consumption includes equipment power consumption collected through power sensors and energy monitors;

[0109] The ambient temperature is collected through temperature sensors, and the material usage is collected through weighing sensors and flow sensors. The equipment operation status, production speed, energy consumption, ambient temperature and material usage are summarized and combined into a data set W.

[0110] The data preprocessing module includes a data cleaning and denoising unit and a missing value filling and standardization unit;

[0111] The data cleaning and denoising unit cleans the data set W, including deleting duplicate data and outliers, removing noise to improve data quality, identifying and processing outliers by setting thresholds and statistical methods, and processing the data set W, thereby obtaining a data processing set W. S ;

[0112] The missing value filling and standardization unit processing data processing set W S The missing values ​​in the data are filled by interpolation and mean filling, and standardized processing is performed to ensure that different features are compared at the same scale to form a standardized data set W. X .

[0113] In this embodiment, the equipment status monitoring unit uses position, vibration and power sensors to comprehensively monitor the equipment operating status, so that the equipment status, fault status and operating efficiency can be accurately collected. This precise monitoring helps to detect potential problems in a timely manner and reduce equipment failure rates. The environment and production parameter monitoring unit collects production speed, energy consumption, ambient temperature and material usage through a variety of sensors to ensure multi-dimensional coverage of data. This comprehensive parameter acquisition provides a rich information basis for subsequent analysis and improves the controllability of the production process.

[0114] The data preprocessing module effectively improves the quality of the data set by cleaning and denoising, identifying and processing duplicate data and outliers. It ensures that only high-quality data enters the subsequent analysis stage, thus avoiding decision-making errors caused by data errors. Missing value filling and standardization units ensure the integrity of the data through interpolation and mean filling methods, and perform standardization at the same time so that different features can be compared at the same scale. This processing not only improves the reliability of the data, but also makes subsequent analysis more scientific and reasonable. Through data cleaning, denoising, missing value filling and standardization, the standardized data set WX formed provides a solid data foundation for subsequent real-time data analysis, smart contract execution and feedback adjustment, and enhances the response speed and accuracy of the entire system.

[0115] Example 3

[0116] This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the blockchain recording module includes a data storage unit and a data verification and access unit;

[0117] The data storage unit stores the data standard set W obtained by the data preprocessing module X Store on the blockchain and perform storage operations to ensure that the data cannot be tampered with;

[0118] The data verification and access unit verifies the integrity and legitimacy of the data, ensuring that only authenticated users and modules access the data on the blockchain. The data verification and access unit is responsible for providing a data access interface for use by the smart contract module;

[0119] By using a hash function to verify the data standard set W X integrity;

[0120] H(W X ) = Hash (W X );

[0121] In the formula, Hash represents the hash function, H(W X ) represents the data standard set W X The hash value of .

[0122] The smart contract module includes a condition monitoring and triggering unit and a contract execution and feedback unit;

[0123] The condition monitoring and triggering unit receives the data standard set W from the blockchain recording module X , monitor abnormal values ​​of equipment operation and excessive energy consumption to automatically trigger contract execution;

[0124] The triggering contract formula is:

[0125] Trigger ;

[0126] In the formula, Trigger represents the trigger flag, 1 means the contract needs to be triggered, and 0 means the contract is not triggered; E ac Indicates the actual energy consumption value, E th Indicates the set energy consumption threshold;

[0127] The contract execution and feedback unit executes the corresponding contract after the condition is triggered, including issuing an alarm and adjusting production parameters. The contract execution and feedback unit is responsible for executing specific actions and feeding back the execution results to the system.

[0128] The real-time data analysis module includes a data analysis and calculation unit and a feedback information generation unit;

[0129] The data analysis and calculation unit obtains the data standard set W from the blockchain recording module X , use the preset algorithm to analyze the equipment's operating status and energy consumption data in real time, and calculate the equipment efficiency coefficient E eff , energy efficiency coefficient E en ;

[0130] The equipment efficiency coefficient E eff Obtained by the following formula:

[0131] E eff ;

[0132] Where P ac Indicates the actual energy consumption, P max Indicates the maximum design energy consumption of the equipment;

[0133] The energy efficiency coefficient E en Obtained by the following formula:

[0134] E en ;

[0135] Where V ac Actual production speed;

[0136] The feedback information generating unit generates feedback information according to the result of data analysis, including equipment efficiency and energy consumption efficiency, and provides the feedback information to relevant users.

[0137] In this embodiment, the blockchain recording module stores the data standard set W through the data storage unit. XSecure storage ensures that data cannot be tampered with. This feature improves the credibility of data, making all parties more assured in information exchange, and helps to improve overall trust. The data verification and access unit ensures the integrity of data through hash functions and restricts only authenticated users and modules to access blockchain data. This measure effectively prevents unauthorized access, ensures system security, and enhances data confidentiality.

[0138] The condition monitoring and triggering unit of the smart contract module can automatically monitor abnormal equipment operation and excessive energy consumption, and immediately trigger the contract execution. This automated response mechanism greatly improves the response speed and reduces delays caused by human intervention. The real-time data analysis module calculates the equipment efficiency coefficient E through the data analysis and calculation unit. eff and energy efficiency coefficient E en This real-time analysis can provide management with accurate information on production efficiency and energy consumption, helping to optimize production processes and resource allocation. The feedback information generation unit generates feedback information based on the data analysis results and provides it to relevant users in a timely manner. This function enables management and operators to respond quickly and make necessary adjustments, thereby improving production flexibility and efficiency.

[0139] Example 4

[0140] This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically: the feedback and adjustment module includes a parameter adjustment unit and a result recording unit;

[0141] The parameter adjustment unit is based on the analysis results of the real-time data analysis module, including the equipment efficiency coefficient E eff and energy efficiency coefficient E en , automatic and manual adjustment of production parameters including equipment speed V and material ratio M;

[0142] The adjustment formula of the equipment speed V is:

[0143] V new ;

[0144] Where V new Indicates the adjusted device speed; Indicates the adjustment ratio of the device speed;

[0145] The adjustment formula of the material ratio M is:

[0146] M new ;

[0147] In, M new Indicates the adjusted material ratio; Indicates the adjustment ratio of material proportion.

[0148] The result recording unit records the adjusted production parameters and their effects in the blockchain recording module to ensure the transparency and non-tamperability of the adjustment process, while providing data support for subsequent analysis.

[0149] The report generation module includes a data aggregation unit and a report generation unit;

[0150] The data aggregation unit obtains data on production efficiency, energy consumption and smart contract execution from the real-time data analysis module, the feedback and adjustment module and the smart contract module, and aggregates and organizes the data;

[0151] The production efficiency is obtained by the following formula:

[0152] EP ;

[0153] Where U ac Indicates the actual production volume, U max Indicates the maximum design production capacity;

[0154] The smart contract execution is obtained by the following formula:

[0155] C ex =Count(C triggered )+Count(C completed );

[0156] In the formula, C ex The count value representing the execution status of the smart contract, including the number of triggered and completed contracts, C triggered Indicates the number of contracts triggered, C completed Indicates the number of completed contracts;

[0157] The report generation unit automatically generates a production report based on the content of the data aggregation unit, formats the output report content, and provides it to the management to ensure the clarity and readability of the report.

[0158] In this embodiment, the parameter adjustment unit of the feedback and adjustment module can automatically or manually adjust the equipment speed V and the material ratio M according to the real-time data analysis results. This flexibility enables the production process to quickly adapt to changes and improves the response speed and efficiency of the production line. The application of the adjustment formula makes the adjustment of the equipment speed and material ratio have a scientific basis, reduces the blindness of manual decision-making, ensures that the adjustment is more in line with actual production needs, and thus improves production efficiency.

[0159] The result recording unit records the adjusted production parameters and their effects on the blockchain, ensuring the transparency and immutability of the adjustment process. This feature enhances management's trust in the adjustment process and provides a reliable basis for subsequent data analysis. The report generation module obtains key data from multiple modules through the data aggregation unit, including production efficiency, energy consumption, and smart contract execution. This comprehensive data integration provides management with a clear view of production status, which helps to make timely strategic decisions.

[0160] The report generation unit automatically generates formatted production reports from the summarized data to ensure the clarity and readability of information transmission. This function simplifies the management's grasp of production conditions and improves work efficiency.

[0161] Example 5

[0162] An industrial Internet information interaction method based on industrial algorithms, please refer to Figure 2 , specifically: including the following steps:

[0163] Step 1: The data acquisition module collects various data on the production line in real time through sensors, including equipment operation status, production speed, energy consumption, ambient temperature and material usage, to form a data set W;

[0164] Step 2: The data preprocessing module cleans, denoises, fills in missing values, and standardizes the data set W obtained by the data acquisition module to obtain the data standard set W X ;

[0165] Step 3: The blockchain recording module obtains the data standard set W from the data preprocessing module X Data is stored on the blockchain to ensure data immutability and transparency, and provide basic data for smart contract modules;

[0166] Step 4: The smart contract module receives the data standard set W from the blockchain record module X , automatically triggering contract execution based on preset conditions including abnormal equipment operation values ​​and excessive energy consumption values, including issuing alarms and adjusting production parameters;

[0167] Step 5: The real-time data analysis module is based on the data standard set W provided by the blockchain recording module X , through the algorithm to the data standard set W X Conduct real-time analysis and calculate equipment efficiency coefficient E eff , energy efficiency coefficient E en and provide feedback;

[0168] Step 6: The feedback and adjustment module automatically and manually adjusts production parameters including equipment speed V and material ratio M according to the real-time analysis results of the real-time data analysis module, and records the adjustment results to the blockchain recording module for storage;

[0169] Step 7: The report generation module automatically generates a production report, including production efficiency, energy consumption, and smart contract execution status, and provides it to management.

[0170] In this embodiment, through steps 1 to 7, data collection: the data collection module uses a variety of sensors (real-time monitoring of the status of the production line, obtaining equipment operation status, production speed, energy consumption, ambient temperature and material usage, and forming a preliminary data set W. The data preprocessing module performs multiple processes on the data set W, including cleaning, denoising, filling missing values ​​and standardization to improve data quality, and finally obtains a standardized data set WX to ensure that the data can be used for subsequent analysis. The blockchain recording module stores the data standard set WX on the blockchain, using the immutability and transparency of the blockchain to ensure the security of the data during storage and access, and provide reliable basic data for the smart contract module.

[0171] The smart contract module receives the standard set WX in real time and monitors the set conditions. When the conditions are met, the contract execution is automatically triggered, including issuing alarms, adjusting production parameters, etc., to ensure the safety and efficiency of the production process. The real-time data analysis module uses algorithms to analyze the standard set WX. X Analyze and calculate the equipment efficiency coefficient E eff and energy efficiency coefficient E en The results of these analyses will be fed back to management so that timely adjustments can be made.

[0172] Focus on sensor technology to ensure the real-time and accuracy of data collection. Improve data quality and reduce errors through cleaning and standardization. Blockchain technology ensures that data cannot be tampered with and is transparent, and enhances the credibility of data. Automatically trigger contracts to improve production efficiency and safety and reduce manual intervention. Use algorithms to monitor and evaluate equipment operating status in real time and respond quickly to abnormal situations. Implement automatic and manual feedback adjustments to flexibly respond to changes in production demand. Provide data support to management through report generation modules to promote scientific decision-making.

[0173] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An industrial Internet information interaction system based on industrial algorithms, characterized by: It includes data collection module, data preprocessing module, blockchain recording module, smart contract module, real-time data analysis module, feedback and adjustment module and report generation module; The data acquisition module collects various data on the production line in real time through sensors, including equipment operation status, production speed, energy consumption, ambient temperature and material usage, to form a data set W; The data preprocessing module cleans, removes noise, fills in missing values ​​and performs standardization on the data set W obtained by the data acquisition module to obtain a data standard set W X ; The blockchain recording module will obtain the data standard set W from the data preprocessing module X Data is stored on the blockchain to ensure data immutability and transparency, and provide basic data for smart contract modules; The smart contract module receives the data standard set W from the blockchain record module X , automatically triggering contract execution based on preset conditions including abnormal equipment operation values ​​and excessive energy consumption values, including issuing alarms and adjusting production parameters; The real-time data analysis module is based on the data standard set W provided by the blockchain recording module. X , through the algorithm to the data standard set W X Conduct real-time analysis and calculate equipment efficiency coefficient E eff , energy efficiency coefficient E en and provide feedback; Among them, the real-time data analysis module includes a data analysis and calculation unit and a feedback information generation unit; The data analysis and calculation unit obtains the data standard set W from the blockchain recording module X , use the preset algorithm to analyze the equipment's operating status and energy consumption data in real time, and calculate the equipment efficiency coefficient E eff , energy efficiency coefficient E en ; The equipment efficiency coefficient E eff Obtained by the following formula: E eff ； Where P ac Indicates the actual energy consumption, P max Indicates the maximum design energy consumption of the equipment; The energy efficiency coefficient E en Obtained by the following formula: E en ； Where V ac Actual production speed; The feedback information generating unit generates feedback information according to the result of data analysis, including equipment efficiency and energy consumption efficiency, and provides the feedback information to relevant users; The feedback and adjustment module automatically and manually adjusts production parameters, including equipment speed V and material ratio M, according to the real-time analysis results of the real-time data analysis module, and records the adjustment results to the blockchain recording module for storage; The report generation module automatically generates production reports, including production efficiency, energy consumption and smart contract execution status, and provides them to management.

2. The industrial Internet information interaction system based on industrial algorithms according to claim 1 is characterized in that: The data acquisition module includes an equipment status monitoring unit and an environment and production parameter monitoring unit; The equipment status monitoring unit collects equipment operation status information through position sensors, vibration sensors and power sensors, and the equipment operation status includes equipment status, fault status and operation efficiency; The environment and production parameter monitoring unit collects data on production speed, energy consumption, ambient temperature and material usage. The production speed is collected through encoders and photoelectric sensors; Energy consumption includes equipment power consumption, which is collected through power sensors and energy monitors; The ambient temperature is collected through temperature sensors, and the material usage is collected through weighing sensors and flow sensors. The equipment operation status, production speed, energy consumption, ambient temperature and material usage are summarized and combined into a data set W.

3. The industrial Internet information interaction system based on industrial algorithm according to claim 1 is characterized in that: The data preprocessing module includes a data cleaning and denoising unit and a missing value filling and standardization unit; The data cleaning and denoising unit cleans the data set W, including deleting duplicate data and outliers, removing noise to improve data quality, identifying and processing outliers by setting thresholds and statistical methods, and processing the data set W to obtain a data processing set W. S ; The missing value filling and standardization unit processing data processing set W S The missing values ​​in the data are filled by interpolation and mean filling, and standardized processing is performed to ensure that different features are compared at the same scale to form a standardized data set W. X .

4. The industrial Internet information interaction system based on industrial algorithm according to claim 1 is characterized in that: The blockchain recording module includes a data storage unit and a data verification and access unit; The data storage unit stores the data standard set W obtained by the data preprocessing module X Store on the blockchain and perform storage operations to ensure that the data cannot be tampered with; The data verification and access unit verifies the integrity and legitimacy of the data, ensuring that only authenticated users and modules access the data on the blockchain. The data verification and access unit is responsible for providing a data access interface for use by the smart contract module; By using a hash function to verify the data standard set W X integrity; H(W X )=Hash(W X ); Where Hash represents the hash function, H(W X ) represents the data standard set W X The hash value of .

5. The industrial Internet information interaction system based on industrial algorithm according to claim 1 is characterized in that: The smart contract module includes a condition monitoring and triggering unit and a contract execution and feedback unit; The condition monitoring and triggering unit receives the data standard set W from the blockchain recording module X , monitor abnormal values ​​of equipment operation and excessive energy consumption to automatically trigger contract execution; The triggering contract formula is: Trigger ; In the formula, Trigger represents the trigger flag, 1 means the contract needs to be triggered, and 0 means the contract is not triggered; E ac Indicates the actual energy consumption value, E th Indicates the set energy consumption threshold; The contract execution and feedback unit executes the corresponding contract after the condition is triggered, including issuing an alarm and adjusting production parameters. The contract execution and feedback unit is responsible for executing specific actions and feeding back the execution results to the system.

6. The industrial Internet information interaction system based on industrial algorithms according to claim 1 is characterized by: The feedback and adjustment module includes a parameter adjustment unit and a result recording unit; The parameter adjustment unit is based on the analysis results of the real-time data analysis module, including the equipment efficiency coefficient E eff and energy efficiency coefficient E en , automatic and manual adjustment of production parameters, including equipment speed V and material ratio M; The adjustment formula of the equipment speed V is: V new ； Where V new Indicates the adjusted device speed; Indicates the adjustment ratio of the device speed; The adjustment formula of the material ratio M is: M new ； In, M new Indicates the adjusted material ratio; Indicates the adjustment ratio of material proportion.

7. The industrial Internet information interaction system based on industrial algorithms according to claim 6 is characterized by: The result recording unit records the adjusted production parameters and their effects in the blockchain recording module to ensure the transparency and non-tamperability of the adjustment process, while providing data support for subsequent analysis.

8. The industrial Internet information interaction system based on industrial algorithms according to claim 1 is characterized by: The report generation module includes a data aggregation unit and a report generation unit; The data aggregation unit obtains data on production efficiency, energy consumption and smart contract execution from the real-time data analysis module, the feedback and adjustment module and the smart contract module, and aggregates and organizes the data; The production efficiency is obtained by the following formula: EP ; Where U ac Indicates the actual production volume, U max Indicates the maximum design production capacity; The smart contract execution is obtained by the following formula: C ex =Count(C triggered )+Count(C completed ); In the formula, C ex The count value representing the execution status of the smart contract, including the number of triggered and completed contracts, C triggered Indicates the number of contracts triggered, C completed Indicates the number of completed contracts; The report generation unit automatically generates a production report based on the content of the data aggregation unit, formats the output report content, and provides it to the management to ensure the clarity and readability of the report.

9. An industrial Internet information interaction method based on an industrial algorithm, applied to an industrial Internet information interaction system based on an industrial algorithm as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Step 1: The data acquisition module collects various data on the production line in real time through sensors, including equipment operation status, production speed, energy consumption, ambient temperature and material usage, to form a data set W; Step 2: The data preprocessing module cleans, denoises, fills in missing values, and standardizes the data set W obtained by the data acquisition module to obtain the data standard set W X ; Step 3: The blockchain recording module obtains the data standard set W from the data preprocessing module X Data is stored on the blockchain to ensure data immutability and transparency, and provide basic data for smart contract modules; Step 4: The smart contract module receives the data standard set W from the blockchain record module X , automatically triggering contract execution based on preset conditions including abnormal equipment operation values ​​and excessive energy consumption values, including issuing alarms and adjusting production parameters; Step 5: The real-time data analysis module is based on the data standard set W provided by the blockchain recording module X , through the algorithm to the data standard set W X Conduct real-time analysis and calculate equipment efficiency coefficient E eff , energy efficiency coefficient E en and provide feedback; Step 6: The feedback and adjustment module automatically and manually adjusts production according to the real-time analysis results of the real-time data analysis module. The parameters include equipment speed V and material ratio M, and the adjustment results are recorded in the blockchain recording module for storage; Step 7: The report generation module automatically generates a production report, including production efficiency, energy consumption, and smart contract execution status, and provides it to management.

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