Industrial control instruction digital processing and industrial internet platform cooperation method

Abstract

The invention discloses an industrial control instruction digital processing and industrial internet platform cooperation method, belongs to the technical field of industrial process control, and aims at improving the accuracy of instruction transmission and processing and reducing interference by digitally processing and simulating a control instruction. Security verification and data optimization are performed by using a preset rule based on historical data and machine learning, so that the security of instruction processing is enhanced. By means of an industrial internet platform, safe encryption transmission, multi-protocol support and real-time monitoring analysis of control parameters are achieved, and the intelligent level of remote control is improved. And a feedback mechanism dynamically adjusts a preset rule to ensure control optimization. The method enhances the safety of the control system, is suitable for automatic production lines, intelligent logistics and energy management systems, and promotes the digitization and intellectualization of industrial production.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial process control, and specifically relates to a method for digital processing of industrial control instructions and collaboration with an industrial Internet platform. Background Art

[0002] In modern industrial production, in order to improve production efficiency and safety, more and more industrial equipment adopts digital control technology. This technology converts the control instructions of the equipment into digital signals for processing, and then controls the equipment according to the processing results, thus achieving precise and remote control of industrial equipment.

[0003] However, there are some problems with traditional industrial control instruction processing methods. First, the transmission and processing of analog control instructions are easily disturbed, affecting the control accuracy. Second, due to the lack of effective data optimization and security verification mechanisms, the processing results of control instructions may be inaccurate or tampered with, resulting in equipment control errors. In addition, traditional industrial control instruction processing methods usually cannot achieve real-time monitoring and data analysis, which is not conducive to the optimization control of equipment.

[0004] Therefore, a new digital processing method for industrial control instructions is needed to effectively solve the above problems and improve the control efficiency and safety of industrial equipment. Summary of the invention

[0005] The purpose of the present invention is to provide a method for digital processing of industrial control instructions and collaboration with an industrial Internet platform to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for digital processing of industrial control instructions and collaboration with an industrial Internet platform, characterized in that it comprises the following steps:

[0007] a) Receive control instructions sent by industrial equipment;

[0008] b) converting the control instruction into a digital signal, wherein the conversion includes analog-to-digital conversion, converting the analog control instruction into a digital form;

[0009] c) processing the digital signal according to preset rules to generate a processed digital signal, wherein the preset rules are derived based on historical data and / or a machine learning model and include security verification and data optimization algorithms;

[0010] d) converting the processed digital signal into a control parameter, including proportional adjustment and time series prediction of the processed digital signal;

[0011] e) Sending the control parameters to the industrial equipment through the industrial Internet platform to achieve remote control of the industrial equipment. The industrial Internet platform uses an encrypted communication protocol to send the control parameters to ensure transmission security, supports multiple communication protocols, and provides real-time monitoring and data analysis services for optimizing the control process of industrial equipment, while synchronously displaying the control parameters and equipment status information on the user interface.

[0012] Preferably, the step of verifying the received control instruction before step b) includes checking the integrity or validity of the control instruction.

[0013] Preferably, the control parameters in step e) are transmitted to the industrial device via an Internet Protocol (IP) network.

[0014] Preferably, a feedback mechanism is also included to adjust the preset rules according to the operating conditions of the industrial equipment.

[0015] Preferably, the industrial Internet platform also provides real-time monitoring and data analysis services for optimizing the control process of industrial equipment.

[0016] Preferably, the industrial Internet platform supports multiple communication protocols, including but not limited to MQTT, AMQP or HTTP.

[0017] Preferably, the transmission of the control parameters and the display of the device status information in step e) are synchronously implemented on the user interface.

[0018] Preferably, the industrial control instruction digital processing method is applied to an automated production line, an intelligent logistics system or an energy management system.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] By converting analog control instructions into digital signals and optimizing them, the accuracy of transmission and processing is significantly improved, and the impact of external interference is reduced. In addition, the preset rules based on historical data and machine learning models are used to achieve security verification and data optimization, thereby enhancing the accuracy and security of control instruction processing. At the same time, this method realizes secure encrypted transmission of control parameters, support for multiple communication protocols, and real-time monitoring and data analysis services through the industrial Internet platform, further improving the remote control efficiency and intelligence level of industrial equipment. The introduction of the feedback mechanism enables the preset rules to be adjusted according to the actual operation of the equipment, ensuring dynamic optimization of control. Overall, the application of this method not only enhances the safety and reliability of industrial control systems, but also provides more efficient and intelligent control solutions for automated production lines, intelligent logistics systems, or energy management systems, greatly promoting the digitalization and intelligent development of modern industrial production. DETAILED DESCRIPTION

[0021] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] The present invention provides a method for digital processing of industrial control instructions and collaboration with an industrial Internet platform, which is characterized by comprising the following steps:

[0023] a) Receive control instructions sent by industrial equipment;

[0024] b) converting the control instruction into a digital signal, wherein the conversion includes analog-to-digital conversion, converting the analog control instruction into a digital form;

[0025] c) processing the digital signal according to preset rules to generate a processed digital signal, wherein the preset rules are derived based on historical data and / or a machine learning model and include security verification and data optimization algorithms;

[0026] d) converting the processed digital signal into a control parameter, including proportional adjustment and time series prediction of the processed digital signal;

[0027] e) Sending the control parameters to the industrial equipment through the industrial Internet platform to achieve remote control of the industrial equipment. The industrial Internet platform uses an encrypted communication protocol to send the control parameters to ensure transmission security, supports multiple communication protocols, and provides real-time monitoring and data analysis services for optimizing the control process of industrial equipment, while synchronously displaying the control parameters and equipment status information on the user interface.

[0028] Furthermore, by converting analog control instructions into digital signals and optimizing the processing, the accuracy of transmission and processing is significantly improved, and the impact of external interference is reduced. In addition, the preset rules based on historical data and machine learning models are used to achieve security verification and data optimization, enhancing the accuracy and security of control instruction processing. At the same time, this method realizes the secure encrypted transmission of control parameters, the support of multiple communication protocols, and real-time monitoring and data analysis services through the industrial Internet platform, further improving the remote control efficiency and intelligence level of industrial equipment. Overall, the application of this method not only enhances the security and reliability of industrial control systems, but also provides more efficient and intelligent control solutions for automated production lines, intelligent logistics systems or energy management systems, greatly promoting the digitalization and intelligent development of modern industrial production.

[0029] In this embodiment, the step of verifying the received control instruction before step b) includes checking the integrity or validity of the control instruction.

[0030] Furthermore, the authenticity and correctness of the control instructions can be ensured, thereby avoiding device control errors caused by erroneous control instructions.

[0031] In this embodiment, the control parameters in step e) are transmitted to the industrial device via an Internet Protocol (IP) network.

[0032] Furthermore, by using an Internet Protocol (IP) network to transmit control parameters, remote control can be achieved, thereby improving the flexibility and convenience of control.

[0033] This embodiment also includes a feedback mechanism for adjusting the preset rules according to the operating conditions of the industrial equipment.

[0034] Furthermore, by introducing a feedback mechanism, the preset rules can be adjusted according to the operating conditions of the industrial equipment to achieve dynamic optimization of control and improve control accuracy and efficiency.

[0035] In this embodiment, the industrial Internet platform also provides real-time monitoring and data analysis services for optimizing the control process of industrial equipment.

[0036] Furthermore, the real-time monitoring and data analysis services provided by the industrial Internet platform can provide real-time understanding of the operating status and control effects of equipment, which is conducive to timely adjustment of control strategies and optimization of equipment control processes.

[0037] In this embodiment, the industrial Internet platform supports multiple communication protocols, including but not limited to MQTT, AMQP or HTTP.

[0038] Furthermore, the industrial Internet platform supports multiple communication protocols, such as MQTT, AMQP or HTTP, so that the method of the present invention can adapt to various different devices and environments, thereby improving its versatility and practicality.

[0039] In this embodiment, the transmission of the control parameters and the display of the device status information in step e) are synchronously implemented on the user interface.

[0040] Furthermore, by synchronizing the transmission of real-time control parameters and the display of equipment status information, the operator can understand the operating status and control results of the equipment in real time, thereby improving the convenience of monitoring and control.

[0041] In this embodiment, the industrial control instruction digital processing method is applied to an automated production line, an intelligent logistics system or an energy management system.

[0042] Furthermore, this method can be applied to multiple fields such as automated production lines, intelligent logistics systems or energy management systems, promoting the digital and intelligent development of modern industrial production.

[0043] The working principle and use process of the present invention:

[0044] First, the control instructions sent by the industrial equipment are received, and the integrity and validity of the control instructions are verified. Then, the analog control instructions are converted into digital signals through analog-to-digital conversion. Next, the digital signals are processed according to preset rules based on historical data and / or machine learning models to generate processed digital signals that have undergone security verification and data optimization. The processed digital signals are further converted into control parameters, including proportional adjustment and time series prediction. These control parameters are transmitted to the industrial equipment through the industrial Internet platform using encrypted communication protocols and IP networks to achieve remote control. At the same time, the industrial Internet platform provides real-time monitoring and data analysis services, supports multiple communication protocols such as MQTT, AMQP or HTTP, and synchronously displays the control parameters and device status information on the user interface for operator monitoring. In addition, the method also includes a feedback mechanism for dynamically adjusting the preset rules according to the operating conditions of the industrial equipment, thereby achieving continuous optimization of the control. This method improves the control efficiency and safety of industrial equipment, is suitable for multiple fields such as automated production lines, intelligent logistics systems or energy management systems, and promotes the digitalization and intelligent development of modern industrial production.

[0045] The electronic components and modules used in the invention can be parts commonly used in the market and can realize the specific functions in this case, and the specific models and sizes can be selected and adjusted according to actual needs.

[0046] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for digital processing of industrial control instructions and collaboration with an industrial Internet platform, characterized in that: The following steps are involved: a) Receive control instructions sent by industrial equipment; b) converting the control instruction into a digital signal, wherein the conversion includes analog-to-digital conversion, converting the analog control instruction into a digital form; c) processing the digital signal according to preset rules to generate a processed digital signal, wherein the preset rules are derived based on historical data and / or a machine learning model and include security verification and data optimization algorithms; d) converting the processed digital signal into a control parameter, including proportional adjustment and time series prediction of the processed digital signal; e) Sending the control parameters to the industrial equipment through the industrial Internet platform to achieve remote control of the industrial equipment. The industrial Internet platform uses an encrypted communication protocol to send the control parameters to ensure transmission security, supports multiple communication protocols, and provides real-time monitoring and data analysis services for optimizing the control process of industrial equipment, while synchronously displaying the control parameters and equipment status information on the user interface.

2. According to claim 1, a method for digital processing of industrial control instructions and industrial Internet platform collaboration is characterized by: The step of verifying the received control instruction before step b) includes checking the integrity or validity of the control instruction.

3. According to claim 1, a method for digital processing of industrial control instructions and industrial Internet platform collaboration is characterized by: The control parameters in step e) are transmitted to the industrial device via an Internet Protocol (IP) network.

4. The method for digital processing of industrial control instructions and collaboration with an industrial Internet platform according to claim 1 is characterized in that: A feedback mechanism is also included to adjust the preset rules based on the operating conditions of the industrial equipment.

5. The method for digital processing of industrial control instructions and collaboration with an industrial Internet platform according to claim 1 is characterized in that: The Industrial Internet platform also provides real-time monitoring and data analysis services to optimize the control process of industrial equipment.

6. The method for digital processing of industrial control instructions and collaboration with an industrial Internet platform according to claim 1 is characterized in that: The Industrial Internet Platform supports multiple communication protocols, including but not limited to MQTT, AMQP or HTTP.

7. The method for digital processing of industrial control instructions and collaboration with an industrial Internet platform according to claim 1 is characterized in that: The transmission of the control parameters and the display of the device status information in step e) are synchronously implemented on the user interface.

8. The method for digital processing of industrial control instructions and collaboration with an industrial Internet platform according to claim 1, characterized in that: The industrial control instruction digital processing method is applied to automated production lines, intelligent logistics systems or energy management systems.