Multifunctional remote monitoring system for safe operation of electrical equipment in chemical plant

Abstract

The invention discloses a multifunctional remote monitoring system for safe operation of chemical plant electrical equipment, which relates to the technical field of remote monitoring of chemical plant electrical equipment and comprises a data acquisition unit, an edge calculation unit, a self-adaptive communication unit, an intelligent diagnosis unit and a remote monitoring unit. The data acquisition unit is used for acquiring valve state, liquid level, temperature and pressure signals in real time; the edge computing unit is integrated in a programmable logic controller (PLC) and is used for data preprocessing and local analysis; the adaptive communication unit is used for optimizing the data transmission priority based on the existing industrial Ethernet protocol Profinet / EtherNet / IP; the intelligent diagnosis unit is used for equipment health state evaluation and fault prediction; the remote monitoring unit realizes visualization and remote control through an upper computer; the programmable logic controller PLC is AB 1756-L71 and is used for integrating an edge computing unit to complete tasks of data preprocessing and local analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring of electrical equipment in chemical plants, and particularly to a multi-functional remote monitoring system for the safe operation of electrical equipment in chemical plants. Background Art

[0002] The remote monitoring technology of electrical equipment in chemical plants refers to the technology of using modern information technology to monitor the working parameters of various electrical equipment in chemical plants in real time. Therefore, how to use advanced technical means to improve the intelligent level and safety of remote monitoring of electrical equipment in chemical plants has become one of the urgent problems to be solved at present.

[0003] In the field of remote monitoring of electrical equipment in chemical plants, traditional monitoring systems cannot support the automatic identification and conversion of multiple signal types at the same time, resulting in a complex and error-prone data acquisition process. Moreover, in the absence of an edge computing unit, all data needs to be uploaded to the central server for processing, which not only increases the pressure on network bandwidth but also causes analysis delays. At the same time, traditional monitoring systems often only provide basic data display functions and lack the ability to deeply evaluate the health status of equipment and predict faults. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a multi-functional remote monitoring system for the safe operation of electrical equipment in chemical plants to solve the problems that traditional monitoring systems cannot support the automatic identification and conversion of multiple signal types at the same time, resulting in a complex and error-prone data acquisition process, and in the absence of an edge computing unit, all data needs to be uploaded to the central server for processing, which not only increases the pressure on network bandwidth but also causes analysis delays.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a multi-functional remote monitoring system for the safe operation of electrical equipment in chemical plants, which includes:

[0008] A data acquisition unit, an edge computing unit, an adaptive communication unit, an intelligent diagnosis unit, and a remote monitoring unit;

[0009] The data acquisition unit is used to collect valve status, liquid level, temperature, and pressure signals in real time;

[0010] The edge computing unit is integrated in a programmable logic controller (PLC) and is used for data preprocessing and local analysis;

[0011] The adaptive communication unit optimizes the data transmission priority based on the existing industrial Ethernet protocols Profinet / EtherNet / IP;

[0012] The intelligent diagnosis unit is used for equipment health status assessment and fault prediction;

[0013] The remote monitoring unit realizes visualization and remote control through a host computer;

[0014] The programmable logic controller PLC is AB 1756-L71, which is used to integrate the edge computing unit to complete the tasks of data preprocessing and local analysis.

[0015] As a preferred embodiment of the multi-functional remote monitoring system for the safe operation of chemical plant electrical equipment according to the present invention, wherein: the data acquisition unit realizes signal acquisition through the I / O module and analog input module of the programmable logic controller PLC, and supports the automatic identification and conversion of 4-20mA, 0-10V and digital input signals.

[0016] As a preferred embodiment of the multi-functional remote monitoring system for the safe operation of chemical plant electrical equipment according to the present invention, wherein: the edge computing unit executes the following functions in the programmable logic controller PLC: performs moving average filtering on the acquired analog signals; uses a FIR digital filter to eliminate specific frequency interference; calculates the key indexes of equipment operation; the key indexes include the number of valve actions and the cumulative operation time of the motor.

[0017] As a preferred embodiment of the multi-functional remote monitoring system for the safe operation of chemical plant electrical equipment according to the present invention, wherein: the adaptive communication unit is used to dynamically adjust the data transmission strategy: the safety interlock signal is marked as the highest priority and transmitted at a fixed interval of 10ms; the process control parameters adopt a dynamic compression algorithm to reduce the sampling frequency when the network is congested; local caching is enabled when the communication is interrupted, and the data is automatically retransmitted after the network is restored.

[0018] As a preferred embodiment of the multi-functional remote monitoring system for the safe operation of chemical plant electrical equipment according to the present invention, wherein: the intelligent diagnosis unit further includes: a valve life prediction module, which estimates the remaining life based on the historical action times and load conditions; a pipeline anomaly detection module, which identifies blockages or leaks through a temperature-pressure correlation model; a vibration analysis module, which judges the pump bearing status using the liquid level fluctuation frequency.

[0019] As a preferred solution of the multi-functional remote monitoring system for the safe operation of electrical equipment in the chemical plant of the present invention, wherein: the remote monitoring unit is used to implement the following functions in the upper computer: constructing a three-dimensional equipment topology diagram to display the real-time health status with color gradient; constructing a mobile terminal adaptive interface to support gesture operation for zooming in and out of the process flow diagram; setting up voice alarm broadcast, and outputting through the PLC serial port connected to the voice synthesizer; the voice alarm broadcast function supports multi-language switching and adjusts the speech rate and repetition frequency according to the alarm level.

[0020] As a preferred solution of the multi-functional remote monitoring system for the safe operation of electrical equipment in the chemical plant of the present invention, wherein: the system further includes a safety interlock module, which is used for: automatically triggering the valve action when overpressure, over-temperature or abnormal liquid level is detected; recording the interlock events and generating an accident analysis report.

[0021] In a second aspect, the present invention provides a multi-functional remote monitoring method for the safe operation of electrical equipment in a chemical plant, including:

[0022] S1. Collect the operating parameters of electrical equipment through a programmable logic controller (PLC);

[0023] S2. Complete data filtering, feature extraction and health status calculation in the programmable logic controller (PLC);

[0024] S3. Dynamically allocate communication bandwidth according to priorities to ensure real-time transmission of key data;

[0025] S4. Generate a visualization interface and a diagnostic report in the upper computer;

[0026] S5. Remotely monitor the equipment status through a mobile terminal or a PC and receive voice alarm prompts.

[0027] In a third aspect, the present invention provides a computer device, including a memory and a processor, wherein: when the computer program stored in the memory is executed by the processor, it implements any step of the multi-functional remote monitoring system for the safe operation of electrical equipment in the chemical plant as described in the first aspect of the present invention.

[0028] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, wherein: when the computer program is executed by the processor, it implements any step of the multi-functional remote monitoring system for the safe operation of electrical equipment in the chemical plant as described in the first aspect of the present invention.

[0029] The beneficial effects of the present invention are as follows: The data acquisition unit realizes the real-time acquisition of valve status, liquid level, temperature and pressure signals in the chemical plant, supports the automatic identification and conversion of multiple signal types, which not only simplifies the installation and configuration process, reduces manual intervention, but also improves the accuracy and reliability of data acquisition. By using the edge computing unit to perform operations such as moving average filtering and FIR digital filters inside the PLC, interference signals can be effectively eliminated, and the data quality can be improved. At the same time, by calculating the key indicators of equipment operation, the accurate assessment of the equipment health status is realized, which not only reduces the pressure of network transmission, but also speeds up the fault diagnosis speed, thus helping to predict possible faults in advance, reduce downtime and maintenance costs. The adaptive communication unit dynamically adjusts the transmission strategy according to different data types, and the mechanism can still ensure the timely transmission of important information when the network is congested, greatly improving the reliability and response speed of the system, and effectively preventing safety accidents caused by communication problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. 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.

[0031] Figure 1 It is a schematic diagram of the multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant in Embodiment 1.

[0032] Figure 2 It is a flowchart of the multi-functional remote monitoring method for the safe operation of electrical equipment in a chemical plant in Embodiment 1. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the drawings in the specification.

[0034] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0035] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure or characteristic that may be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude other embodiments.

[0036] Example 1, referring to Figure 1 , which is the first embodiment of the present invention. This embodiment provides a multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant, including:

[0037] A data acquisition unit, an edge computing unit, an adaptive communication unit, an intelligent diagnosis unit, and a remote monitoring unit;

[0038] The data acquisition unit is used to collect valve status, liquid level, temperature, and pressure signals in real time;

[0039] Furthermore, the data acquisition unit realizes signal acquisition through the I / O module and analog input module of the PLC, and supports the automatic identification and conversion of 4-20mA, 0-10V, and digital input signals. The expression is:

[0040]

[0041] Where V in is the input voltage, V min and V max are respectively the minimum and maximum values of the input voltage range, and ADC min and ADC max are the minimum and maximum values output by the analog-to-digital converter;

[0042] It should be noted that the data acquisition unit realizes signal acquisition through the I / O module and analog input module of the PLC, and supports the automatic identification and conversion of 4-20mA, 0-10V, and digital input signals, which not only improves the flexibility and accuracy of signal acquisition, but also allows the system to maintain efficient operation under different working conditions.

[0043] The edge computing unit is integrated in the programmable logic controller (PLC) and is used for data preprocessing and local analysis;

[0044] Furthermore, the programmable logic controller (PLC) is AB 1756-L71, which is used to integrate the edge computing unit to complete the tasks of data preprocessing and local analysis; the edge computing unit performs the following functions in the PLC: using a sliding mean filter (SMA) to perform sliding mean filtering on the collected analog signals. The expression is:

[0045]

[0046] Where n is the window size and x is the original data sequence;

[0047] Using a FIR digital filter to eliminate specific frequency interference. The expression is:

[0048]

[0049] Among them, h[k] are filter coefficients, and N is the filter order;

[0050] Calculate the key operation indicators of the computing device; the key indicators include the number of valve operations and the cumulative running time of the motor;

[0051] It should be noted that the data preprocessing and local analysis functions executed by the edge computing unit integrated in the AB 1756-L71 PLC not only improve the real-time performance and efficiency of data processing, but also reduce the dependence on network bandwidth. Through the combined action of these technical means, the accuracy and reliability of the data are ensured, providing a solid foundation for the subsequent equipment health status assessment.

[0052] The adaptive communication unit optimizes the data transmission priority based on the existing industrial Ethernet protocols Profinet / EtherNet / IP;

[0053] Furthermore, the adaptive communication unit is used to dynamically adjust the data transmission strategy: the safety interlock signal is marked as the highest priority and transmitted at a fixed interval of 10 ms; the process control parameters adopt a dynamic compression algorithm to reduce the sampling frequency when the network is congested. The expression is:

[0054]

[0055] Among them, load represents the current network load, and capacity represents the network capacity;

[0056] Enable the local cache when the communication is interrupted and automatically retransmit the data after the network is restored;

[0057] It should be noted that the adaptive communication unit dynamically adjusts the data transmission strategy according to the network conditions, which is crucial for ensuring the timely transmission of key data. The dynamic compression algorithm can not only effectively avoid data loss caused by network congestion, but also use the local cache to retransmit the data after the communication is interrupted, ensuring the integrity and continuity of the information, thereby enhancing the stability and reliability of the system.

[0058] The intelligent diagnosis unit is used for equipment health status assessment and fault prediction;

[0059] Furthermore, the intelligent diagnosis unit also includes: a valve life prediction module that estimates the remaining life based on the historical number of operations and the load conditions; a pipeline anomaly detection module that identifies blockages or leaks through a temperature-pressure correlation model. The expression is:

[0060] ΔP = K(T2 - T1);

[0061] Among them, K is the proportionality constant, P is the pressure, and T is the operating temperature;

[0062] The vibration analysis module uses the liquid level fluctuation frequency to judge the state of the pump bearing;

[0063] It should be noted that the intelligent diagnosis unit realizes the accurate assessment of the equipment health status and fault prediction through in-depth analysis of the equipment operation data, significantly improving the predictability and effectiveness of equipment maintenance.

[0064] The remote monitoring unit realizes visualization and remote control through the host computer;

[0065] Furthermore, the remote monitoring unit is used to implement the following functions in the host computer: construct a three-dimensional equipment topology map and display the real-time health status with color gradient; construct a mobile terminal adaptive interface and support gesture operation to zoom in and out the process flow chart; set voice alarm broadcast and output through the PLC serial port connection to the voice synthesizer; the voice alarm broadcast function supports multi-language switching and adjusts the speech rate and repetition frequency according to the alarm level;

[0066] It should be noted that the remote monitoring unit, through the three-dimensional equipment topology map and mobile terminal adaptive interface provided by the host computer, not only enhances the operator's intuitive perception ability of the on-site equipment status, but also the function of supporting gesture operation to zoom in and out the process flow chart greatly improves the user experience.

[0067] This embodiment also provides a computer device applicable to the situation of the multi-functional remote monitoring system for the safe operation of chemical plant electrical equipment, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the multi-functional remote monitoring system for the safe operation of chemical plant electrical equipment as proposed in the above embodiment.

[0068] This computer device can be a terminal. This computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of this computer device is used to provide computing and control capabilities. The memory of this computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The communication interface of this computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through Wi-Fi, operator network, NFC (Near Field Communication) or other technologies. The display screen of this computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of this computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse, etc.

[0069] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant as proposed in the above embodiment. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disc.

[0070] In summary, the present invention realizes the real-time acquisition of valve status, liquid level, temperature and pressure signals in a chemical plant through the data acquisition unit, supports the automatic identification and conversion of multiple signal types, not only simplifies the installation and configuration process, reduces manual intervention, but also improves the accuracy and reliability of data acquisition. By using the edge computing unit to perform operations such as moving average filtering and FIR digital filtering inside the PLC, interference signals can be effectively eliminated and the data quality can be improved. At the same time, by calculating the key indicators of equipment operation, the accurate assessment of the equipment health status is realized, which not only reduces the pressure of network transmission, but also speeds up the fault diagnosis speed, thus helping to predict possible faults in advance, reduce downtime and maintenance costs. The adaptive communication unit dynamically adjusts the transmission strategy according to different data types, and the mechanism can still ensure the timely transmission of important information when the network is congested, greatly improving the reliability and response speed of the system, and effectively preventing safety accidents caused by communication problems.

[0071] Embodiment 2, referring to Figure 2 , is the second embodiment of the present invention. This embodiment provides a multi-functional remote monitoring method for the safe operation of electrical equipment in a chemical plant, including:

[0072] S1. Collect the operating parameters of electrical equipment through a programmable logic controller (PLC);

[0073] Furthermore, the data acquisition unit realizes the real-time acquisition of valve status, liquid level, temperature and pressure signals through the I / O module and analog input module of the PLC, and supports the automatic identification and conversion of 4-20mA, 0-10V and digital quantity signals, ensuring the efficiency and accuracy of the data acquisition process, while simplifying the installation and configuration of the system;

[0074] It should be noted that adopting this multi-type signal acquisition method can not only meet the requirements of different industrial scenarios, but also improve the flexibility and reliability of the monitoring system. In addition, the automatic identification and conversion function reduces the possibility of human errors, making the data more accurate and reliable.

[0075] S2. Complete data filtering, feature extraction and health status calculation within the programmable logic controller (PLC);

[0076] Furthermore, the edge computing unit performs moving average filtering (SMA) and FIR digital filter processing inside the PLC to eliminate interference signals, and calculates key indicators such as valve action times and cumulative motor running time. These processing steps help improve data quality and provide a solid foundation for subsequent analysis;

[0077] It should be noted that by filtering and extracting features from the original data, the system can more accurately evaluate the health status of the equipment, predict potential faults in advance, thereby reducing downtime and maintenance costs. This method greatly enhances the stability and reliability of the system, while also improving work efficiency.

[0078] S3. Dynamically allocate communication bandwidth according to priorities to ensure the real-time transmission of key data;

[0079] Furthermore, the adaptive communication unit dynamically adjusts the transmission strategy according to the data type, sets the safety interlock signal as the highest priority and transmits it at a fixed interval of 10ms; for process control parameters, a dynamic compression algorithm is used to reduce the sampling frequency when the network is congested, and the lost data is automatically retransmitted after the network recovers;

[0080] It should be noted that the flexible data transmission mechanism ensures that key information can be conveyed in a timely manner even when the network condition is poor, greatly improving the response speed and reliability of the system. At the same time, it also optimizes the utilization efficiency of network resources and reduces the unnecessary data transmission burden.

[0081] S4. Generate a visual interface and diagnostic report in the upper computer;

[0082] Furthermore, the remote monitoring unit uses the upper computer to construct a three-dimensional device topology map, displays the real-time health status of the device through color gradient, and supports the adaptive interface of the mobile terminal, allowing users to gesture-operate to zoom in and out the process flow chart. In addition, the voice alarm broadcast function can adjust the speech rate and repetition frequency according to the alarm level, and supports multi-language switching;

[0083] It should be noted that by providing an intuitive visualization interface and convenient operation methods, the system has greatly improved the user's interaction experience and work efficiency. Especially the voice alarm broadcast function can effectively enhance the response speed in case of emergency, ensuring that actions are taken quickly to protect the safety of personnel and equipment.

[0084] S5. Remotely monitor the device status through the mobile terminal or PC and receive voice alarm prompts;

[0085] Furthermore, users can remotely access the system through the mobile terminal or PC, real-time monitor the device status, receive voice alarm prompts, and perform necessary control operations; the voice alarm function not only supports multi-language switching, but also can adjust the speech rate and repetition frequency according to the alarm level, so that operators with different backgrounds can quickly understand and respond;

[0086] It should be noted that providing remote monitoring capabilities enables operators to maintain a comprehensive understanding of the device status regardless of their location, discover and solve problems in a timely manner. This method greatly improves the management efficiency and the ability to respond to emergencies, and at the same time promotes the optimization and improvement of the work process.

[0087] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant, characterized in that: It includes: A data acquisition unit, an edge computing unit, an adaptive communication unit, an intelligent diagnosis unit, and a remote monitoring unit; The data acquisition unit is used to collect valve status, liquid level, temperature, and pressure signals in real time; The edge computing unit is integrated in a programmable logic controller (PLC) and is used for data preprocessing and local analysis; The adaptive communication unit optimizes the data transmission priority based on the existing industrial Ethernet protocols Profinet / EtherNet / IP; The intelligent diagnosis unit is used for equipment health status assessment and fault prediction; The remote monitoring unit realizes visualization and remote control through a host computer; The programmable logic controller (PLC) is AB 1756-L71 and is used to integrate the edge computing unit to complete the tasks of data preprocessing and local analysis.

2. The multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claim 1, characterized in that: The data acquisition unit realizes signal acquisition through the I / O module and analog input module of the programmable logic controller (PLC), and supports the automatic identification and conversion of 4-20mA, 0-10V, and digital quantity signals.

3. The multifunctional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claim 2, characterized in that: The edge computing unit executes the following functions in the programmable logic controller (PLC): Perform moving average filtering on the collected analog signals; Use a FIR digital filter to eliminate specific frequency interference; Calculate the key indicators of equipment operation; The key indicators include the number of valve operations and the cumulative operation time of the motor.

4. The multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claim 3, characterized in that: The adaptive communication unit is used to dynamically adjust the data transmission strategy: The safety interlock signal is marked as the highest priority and is transmitted at a fixed interval of 10ms; The process control parameters adopt a dynamic compression algorithm to reduce the sampling frequency during network congestion; Enable local caching during communication interruption and automatically retransmit data after the network resumes.

5. The multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claim 4, characterized in that: The intelligent diagnosis unit further includes: A valve life prediction module that estimates the remaining life based on historical action times and load conditions; A pipeline anomaly detection module that identifies blockages or leaks through a temperature-pressure correlation model; A vibration analysis module that judges the pump bearing status using the liquid level fluctuation frequency.

6. The multifunctional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claim 5, characterized in that: The remote monitoring unit is used to realize the following functions in the host computer: Construct a three-dimensional equipment topology map and display the real-time health status with color gradient; Construct a mobile terminal adaptive interface and support gesture operation to zoom the process flow diagram; Set voice alarm broadcast, which is output through the serial port of the PLC connected to a voice synthesizer; The voice alarm broadcast function supports multi-language switching and adjusts the speech rate and repetition frequency according to the alarm level.

7. The multifunctional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claim 6, characterized in that: The system further includes a safety interlock module, which is used for: Automatically trigger valve actions when overpressure, over-temperature, or abnormal liquid level is detected; Record interlock events and generate accident analysis reports.

8. A multi-functional remote monitoring method for the safe operation of electrical equipment in a chemical plant, based on the multi-functional remote monitoring system for the safe operation of electrical equipment in a chemical plant according to claims 1 to 7, characterized in that: It includes: S1. Collect the operating parameters of electrical equipment through the programmable logic controller (PLC); S2. Complete data filtering, feature extraction, and health status calculation in the programmable logic controller (PLC); S3. Dynamically allocate communication bandwidth according to priority to ensure real-time transmission of key data; S4. Generate a visualization interface and a diagnosis report in the host computer; S5. Remotely monitor the equipment status through a mobile terminal or PC and receive voice alarm prompts.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the multifunctional remote monitoring system for the safe operation of chemical plant electrical equipment according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the multifunctional remote monitoring system for the safe operation of chemical plant electrical equipment according to any one of claims 1 to 7.

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