A cascaded edge intelligent monitoring method, device, electronic equipment and medium

Abstract

This application discloses a cascaded edge intelligent monitoring method, device, electronic equipment, and medium, applicable to the field of industrial field equipment inspection. The cascaded edge intelligent monitoring method provided in this application processes sensor data acquired through an external sensor to obtain a corresponding initial digital signal; performs time synchronization according to a time synchronization control signal sent by the master station, and then synchronously acquires data from the initial digital signal after time synchronization to obtain the corresponding data to be detected; analyzes and detects the data to be detected, and sends the analysis and detection results to the master station for management. This application realizes distributed industrial field equipment inspection, solving the problems of current centralized methods. It ensures the real-time performance, compatibility, and security and reliability of the industrial data acquisition system, providing managers with intuitive and reliable data support, thereby avoiding the problem of untimely handling of predictive maintenance faults.

Description

Technical Field

[0001] This application relates to the field of industrial field equipment testing, and in particular to a cascaded edge intelligent monitoring method, device, electronic equipment and medium. Background Technology

[0002] Existing industrial equipment monitoring systems primarily monitor equipment vibration and employ a centralized monitoring model. This involves deploying acquisition modules and nodes near the equipment to collect vibration data and transmitting the data to a server for centralized analysis and diagnosis. Furthermore, these systems typically utilize traditional Ethernet bus protocols. Centralized industrial equipment monitoring systems using traditional buses represent the mainstream communication solution in the field of industrial field data acquisition and monitoring systems.

[0003] However, with the increasing number and complexity of industrial field equipment and the rapid growth of monitoring parameters, centralized equipment condition monitoring systems based on traditional fieldbus technology are no longer able to meet the needs of further development in industrial field condition monitoring and predictive maintenance in many applications. They also have problems such as insufficient real-time performance of data acquisition systems, inability of transmission protocols to meet fieldbus compatibility requirements, and the inability of traditional buses to achieve distributed edge computing and system monitoring.

[0004] Given the above-mentioned technologies, finding a cascaded edge intelligent monitoring method is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a cascaded edge intelligent monitoring method, device, electronic equipment, and medium. It can acquire data in real time, meet fieldbus compatibility requirements, and achieve data analysis and detection for the monitoring of corresponding equipment.

[0006] To address the aforementioned technical problems, this application provides a cascaded edge intelligent monitoring method, applicable to any slave station, comprising:

[0007] The sensor data acquired through the external sensor to be monitored is processed to obtain the corresponding initial digital signal;

[0008] Time synchronization is performed based on the time synchronization control signal sent by the master station, and after time synchronization, the initial digital signal is synchronized and data is collected to obtain the corresponding data to be detected.

[0009] The system analyzes and tests the data to be tested, and sends the results to the main station so that the main station can manage the results.

[0010] Preferably, processing the sensor data acquired by the external sensor to be monitored to obtain the corresponding initial digital signal includes:

[0011] The signal from the IEPE accelerometer is sequentially processed by constant current source driving, high-pass filtering, gain amplification, and low-pass filtering to obtain the corresponding first initial analog signal.

[0012] The current signal of the secondary circuit is isolated and converted into a voltage signal using a voltage conversion device, and the voltage signal of the secondary circuit is converted into a signal within the voltage range that matches the ADC range, so as to obtain the corresponding second initial analog signal.

[0013] Based on the self-testing technology of the sensing loop, and through the processing of the 4-20mA signal by the sensing transmitter, amplification gain, rectification / feedback, the corresponding third initial analog signal is obtained;

[0014] The first initial analog signal, the second initial analog signal, and the third initial analog signal are respectively subjected to analog-to-digital conversion to obtain the corresponding initial digital signals.

[0015] Preferably, time synchronization is performed based on the time synchronization control signal sent by the master station, including:

[0016] Time synchronization is performed based on the time synchronization control signal sent by the master station and the distributed clock based on the preset network protocol.

[0017] Preferably, after time synchronization, synchronous data acquisition is performed on the initial digital signal to obtain the corresponding data to be detected, including:

[0018] After time synchronization, the initial digital signal is synchronously acquired using the Wireshark network protocol to obtain the corresponding preset network protocol message to be detected.

[0019] Accordingly, the data to be tested is analyzed and tested, including:

[0020] The preset network protocol messages to be tested are analyzed and tested to obtain analysis and testing results containing the corresponding device status parameters; the device status parameters are the status parameters of the device where the external sensor to be monitored is located.

[0021] Preferably, after analyzing and testing the data to be tested, the method further includes:

[0022] Monitor whether the status parameters of any device exceed the corresponding preset normal parameter range;

[0023] If any device status parameter is detected to exceed the corresponding preset normal parameter range, the corresponding parameter abnormality alarm will be triggered and the corresponding alarm log will be recorded.

[0024] Preferably, after time synchronization, synchronous data acquisition of the initial digital signal is performed, including:

[0025] When the initial digital signal format conforms to the structured format, synchronous data acquisition of the initial digital signal is performed based on the process data object after time synchronization.

[0026] When the initial digital signal format conforms to the unstructured format, the initial digital signal is synchronously acquired based on the email protocol after time synchronization.

[0027] To address the aforementioned issues, this application also provides a cascaded edge intelligent monitoring method, applied to a main station, comprising:

[0028] Generate time synchronization control signals;

[0029] A time synchronization control signal is sent to the slave station so that the slave station can synchronize its time according to the time synchronization control signal, and after time synchronization, it can collect synchronous data of the initial digital signal to obtain the corresponding data to be detected; the initial digital signal is the signal obtained by the slave station after processing the sensor data obtained by the external sensor to be monitored.

[0030] Obtain the analysis and testing results generated by the slave station after analyzing and testing the data to be tested, and manage the analysis and testing results.

[0031] To address the aforementioned issues, this application also provides a cascaded edge intelligent monitoring device, applicable to any slave station, comprising:

[0032] The data processing module is used to process the sensor data acquired by the external sensor to be monitored to obtain the corresponding initial digital signal;

[0033] The synchronous acquisition module is used to perform time synchronization according to the time synchronization control signal sent by the master station, and to acquire synchronous data of the initial digital signal after time synchronization in order to obtain the corresponding data to be detected.

[0034] The analysis and detection module is used to analyze and detect the data to be tested, and send the analysis and detection results to the main station so that the main station can manage the analysis and detection results.

[0035] To address the aforementioned problems, this application also provides an electronic device, including a memory for storing computer programs;

[0036] The processor is used to implement the steps of the cascaded edge intelligent monitoring method described above when executing computer programs.

[0037] To address the aforementioned issues, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the aforementioned cascaded edge intelligent monitoring method.

[0038] This application provides a cascaded edge intelligent monitoring method applied to any slave station. It processes sensor data acquired from an external sensor to obtain an initial digital signal. Time synchronization is performed based on a time synchronization control signal sent by the master station, and the initial digital signal is then synchronously acquired to obtain the corresponding data to be detected. This data is analyzed and the results are sent to the master station for management. This application enables distributed monitoring of industrial field equipment through the relationship between slave and master stations. Time synchronization addresses the issues of insufficient real-time performance and incompatibility of transmission protocols with fieldbuses in current centralized data acquisition systems. Analyzing and detecting data acquired by slave stations solves the problem of traditional buses being unable to achieve distributed edge computing and system monitoring. This ensures the real-time performance, compatibility, and security of the industrial data acquisition system, providing managers with intuitive and reliable data support, thereby avoiding the problem of untimely predictive maintenance fault handling. Attached Figure Description

[0039] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart of the cascaded edge intelligent monitoring method provided in the embodiments of this application;

[0041] Figure 2 A block diagram of an industrial equipment edge intelligent monitoring system provided in an embodiment of this application;

[0042] Figure 3 A diagram illustrating the cascaded multi-channel high-frequency synchronous data acquisition module scheme provided in this application embodiment;

[0043] Figure 4 A block diagram of a cascaded edge intelligent monitoring device provided in another embodiment of this application;

[0044] Figure 5 A structural diagram of an electronic device provided in another embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of this application.

[0046] The core of this application is to provide a cascaded edge intelligent monitoring method, device, electronic device, and medium.

[0047] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] Existing industrial equipment monitoring systems primarily monitor equipment vibration and employ a centralized monitoring model. This involves deploying acquisition modules and nodes near the equipment to collect vibration data and transmitting the data to a server for centralized analysis and diagnosis. Furthermore, these systems have historically relied on traditional Ethernet bus protocols. For over two decades, centralized industrial equipment monitoring systems using traditional buses have been the mainstream communication solution in the field of industrial field data acquisition and monitoring. However, with the increasing number and complexity of equipment in industrial settings and the rapid growth of monitoring parameters, centralized equipment condition monitoring systems based on traditional fieldbus technology are struggling to meet the evolving needs of industrial field condition monitoring and predictive maintenance in many applications. In the context of the development of edge intelligence in the Industrial Internet, centralized industrial data acquisition systems based on traditional bus protocols are no longer sufficient to meet the growing demands of predictive maintenance. In summary, existing industrial equipment condition monitoring systems suffer from the following main problems:

[0049] 1. The real-time performance of commonly used traditional centralized data acquisition systems is 10 milliseconds. However, when monitoring systems need to achieve a higher level of real-time performance with a response time of less than 10 milliseconds, traditional industrial Ethernet-based data acquisition systems can no longer meet or fulfill the requirements.

[0050] 2. Various traditional fieldbuses are incompatible with each other; data is isolated between condition monitoring systems from different companies; high-speed real-time data transmission cannot be achieved between different acquisition node controllers or between different monitoring systems; and protocol gaps exist in the data transmission network, creating "information silos." Meanwhile, with the application of intelligent management and control platforms in field data centers, certain requirements have been placed on data transmission protocols and methods, which traditional data transmission protocols can no longer meet.

[0051] 3. The traditional bus systems currently used in the field cannot achieve distributed data acquisition and require specific transmission hardware support. As the level of industrial automation and intelligence in industrial equipment increases, the maintenance and expansion costs of current data acquisition systems are far higher than those of open, distributed monitoring systems. At the same time, the systems that were previously in operation had low configurations, outdated equipment, and most of the components were no longer in production, making system maintenance difficult and making it hard to add new modules or upgrade hardware performance.

[0052] 4. The inability to implement edge computing in the data acquisition system results in high data transmission pressure within the platform. Furthermore, due to limited communication bandwidth between the platform and the field, data analysis and processing need to be performed at the edge to fully utilize computing resources and reduce bandwidth pressure. Simultaneously, distributed data acquisition combined with edge computing enhances the overall system security and reduces the risk of system-wide paralysis caused by a host failure in traditional centralized monitoring systems.

[0053] Therefore, this application provides a cascaded edge intelligent monitoring method, applicable to any slave station. The method includes the following steps: Figure 1 As shown.

[0054] S10: Process the sensor data acquired through the external sensor to be monitored to obtain the corresponding initial digital signal.

[0055] In specific embodiments, industrial sites have numerous and complex equipment, and the sensor data obtained by external sensors to be monitored is very likely not a uniform signal format. Therefore, data processing is performed to obtain a uniform initial digital signal, which facilitates data transmission and analysis calculation.

[0056] The data can be retrieved in real time or at regular intervals. This application does not limit this and users can set it according to their needs.

[0057] S11: Perform time synchronization based on the time synchronization control signal sent by the master station, and after time synchronization, collect the synchronization data of the initial digital signal to obtain the corresponding data to be detected.

[0058] In a specific embodiment, during the actual transmission process of each slave station, the crystal oscillators of each slave station's control chip have an error range of tens of ppm. Therefore, the local clock inside the slave station also suffers from clock drift due to the cumulative error caused by the crystal oscillator error. When data frames are transmitted between slave stations through the physical layer, signal transmission also incurs delays. Real-time processing of signals through hardware also results in nanosecond-level processing delays. Therefore, processing delays and transmission delays need to be compensated and corrected to ensure the accuracy of the slave station clocks. Time synchronization with the slave stations is achieved through a time synchronization control signal sent by the master station, thereby realizing real-time data acquisition and obtaining the corresponding data to be detected.

[0059] S12: Analyze and test the data to be tested, and send the analysis and test results to the main station so that the main station can manage the analysis and test results.

[0060] In a specific embodiment, each slave station analyzes and detects the data to be detected and sends the analysis and detection results to the master station so that the master station can manage the analysis and detection results.

[0061] By using MQTT (Message Queuing Telemetry Transport) to receive data and edge processing results from edge acquisition nodes, the cloud and local servers can control and manage edge nodes.

[0062] It should be noted that MQTT in this application embodiment is only one possible implementation method. It can also be implemented through protocols such as TCP, UDP, CoAP, and LwM2M. This application is not limited to this method and users can set it themselves according to their needs.

[0063] Based on the embodiments of this application, such as Figure 2 As shown, the multimodal data signal conditioning module acquires data from the flow sensor, vibration sensor, and IEPE accelerometer, and processes the acquired data to obtain the initial digital signal; the synchronous acquisition module synchronously acquires data transmitted from different acquisition modules based on a distributed clock under a preset network protocol to obtain the data to be detected; the edge service application and the edge acquisition node perform calculation and analysis on the data to be detected; and the cloud service application receives data and edge processing results from the edge acquisition node, thereby further realizing the control and management of the edge node by the cloud and local servers.

[0064] This application provides a cascaded edge intelligent monitoring method applied to any slave station. It processes sensor data acquired from an external sensor to obtain an initial digital signal. Time synchronization is performed based on a time synchronization control signal sent by the master station, and the initial digital signal is then synchronously acquired to obtain the corresponding data to be detected. This data is analyzed and the results are sent to the master station for management. This application enables distributed monitoring of industrial field equipment through the relationship between slave and master stations. Time synchronization addresses the issues of insufficient real-time performance and incompatibility of transmission protocols with fieldbuses in current centralized data acquisition systems. Analyzing and detecting data acquired by slave stations solves the problem of traditional buses being unable to achieve distributed edge computing and system monitoring. This ensures the real-time performance, compatibility, and security of the industrial data acquisition system, providing managers with intuitive and reliable data support, thereby avoiding the problem of untimely predictive maintenance fault handling.

[0065] Based on the above embodiments, as a preferred embodiment, processing the sensor data acquired by the external sensor to be monitored to obtain the corresponding initial digital signal includes:

[0066] The signal from the IEPE accelerometer is sequentially processed by constant current source driving, high-pass filtering, gain amplification, and low-pass filtering to obtain the corresponding first initial analog signal.

[0067] The current signal of the secondary circuit is isolated and converted into a voltage signal using a voltage conversion device, and the voltage signal of the secondary circuit is converted into a signal within the voltage range that matches the ADC range, so as to obtain the corresponding second initial analog signal.

[0068] Based on the self-testing technology of the sensing loop, and through the processing of the 4-20mA signal by the sensing transmitter, amplification gain, rectification / feedback, the corresponding third initial analog signal is obtained;

[0069] The first initial analog signal, the second initial analog signal, and the third initial analog signal are respectively subjected to analog-to-digital conversion to obtain the corresponding initial digital signals.

[0070] In a specific embodiment, the multimodal data signal conditioning module first unifies the types of IEPE accelerometer signals, current and voltage signals, and 4-20mA analog signals. Then, it uses an analog-to-digital converter chip to perform analog-to-digital conversion on the processed signals, thereby realizing universal multimodal sensor signal acquisition and transmission.

[0071] During data acquisition, vibration measurements are monitored using an IEPE accelerometer; current and voltage signals are measured using a secondary circuit; and temperature, pressure, and flow signals are acquired using a 4-20mA acquisition module. Therefore, this application primarily analyzes and conditions the IEPE vibration sensor signals, current and voltage signals, and 4-20mA analog signals.

[0072] For the IEPE accelerometer signal, constant current source driving, high-pass filtering, amplification gain, and low-pass filtering are applied to resist aliasing distortion and remove noise, achieving the optimal signal-to-noise ratio and extracting the effective signal. For current and voltage signals, a voltage converter isolates and converts the secondary circuit current signal into a voltage signal, and then converts the secondary circuit voltage signal into a voltage range matched to the ADC range, thereby achieving stable sampling of the current and voltage signals. For 4-20mA analog signals, based on sensor loop self-test technology, processing is performed through the sensor transmitter, amplification gain, and rectification / feedback (AFE) process.

[0073] The sensing loop self-test circuit monitors the output voltage of the IEPE sensor to determine the loop's operating status. When the detected IEPE sensor output voltage is greater than 11V, it determines that the sensing loop has an open circuit fault and sends an open circuit digital signal to the slave control chip under the preset network protocol. When the detected IEPE sensor output voltage is less than 1.8V, it determines that the sensing loop has a short circuit fault and sends a short circuit digital signal to the slave control chip under the preset network protocol, thereby realizing the detection of faults in the IEPE sensor loop.

[0074] Analog-to-digital conversion and data transmission: Multimodal data is conditioned into a unified differential signal. This signal is then converted from analog to digital by an analog-to-digital converter chip and transmitted via the SPI protocol to the slave communication chip on the acquisition module. The slave communication chip supports industrial Ethernet access via copper wire and utilizes both SPI slave and Local bus PDIs (Process Data Interfaces) to receive the SPI signal output from the ADC and digital I / O, ultimately establishing a standard preset network protocol operating environment for the data acquisition module.

[0075] It should be noted that the standardization of the IEPE accelerometer signal, current and voltage signal, and 4-20mA analog signal in this application is only a preferred embodiment. This application does not limit the types of signals and sensors, and users can set them according to their needs.

[0076] This application processes different types of signals separately to obtain corresponding initial digital signals for data transmission and data analysis calculations.

[0077] Based on the above embodiments, as a preferred embodiment, time synchronization is performed according to the time synchronization control signal sent by the master station, including:

[0078] Time synchronization is performed based on the time synchronization control signal sent by the master station and the distributed clock based on the preset network protocol.

[0079] In a specific embodiment, such as Figure 3 As shown, a cascaded data acquisition board is used to achieve dual-channel acquisition on a single card, and data transmission is carried out through a 6-pin terminal. The front and back of the terminal are connected to the acquisition module of the previous slave station and the acquisition module of the next slave station, respectively. The preset network protocol can be a real-time synchronous Ethernet protocol such as EtherCAT or EtherMAC. This application does not limit the choice of network protocol and can set it according to the user's needs.

[0080] Taking EtherCAT as an example, time synchronization is achieved based on the EtherCAT Distributed Clock (DC), providing the same system time to different slave stations. By using slave controller chips to keep the time of different slave stations consistent with the master station, each slave station can generate an interrupt-triggered synchronization signal based on its local time, thereby achieving synchronous data acquisition between different slave stations.

[0081] First, in EtherCAT, a reference clock is set. This reference clock is defined by the clock of the first slave station with distributed clock functionality connected to the master station. Subsequent slave station clocks are defined as slave clocks, and the reference clock is used to synchronize other slave clocks with the master station clock. The first slave station clock is used as the reference clock (Tref). Each DC slave station has its own local clock, operating independently of other slave stations. Slave stations begin automatic operation upon power-up; therefore, due to differences in initial values, each slave station's local clock will have a certain deviation. This deviation from the defined reference clock is called the initial clock offset.

[0082] During actual transmission at each slave station, the crystal oscillators of the control chips at each slave station have an error range of tens of ppm. Therefore, the local clock within each slave station also experiences clock drift due to the cumulative error caused by the crystal oscillator error. When data frames are transmitted between slave stations through the physical layer, signal transmission also incurs delays. Real-time signal processing by hardware also results in nanosecond-level processing delays. Therefore, it is necessary to compensate for and correct these delays to ensure the accuracy of the slave station clocks. Thus, the main process for solving distributed clock synchronization is as follows:

[0083] 1. System initialization: The master station sends measurement frames to all slave stations to obtain the data transmission delay T. delay (x). Therefore, the local time at station x is equal to:

[0084] T local (x)=T ref +T offset (x)

[0085] Among them, T offset (x) represents the initial deviation between the local clock and the reference clock, T ref Used as a reference clock.

[0086] 2. After the slave station receives the frame (when Port0 receives the first bit of the data preamble), it writes the local clock into the parameters, denoted as T1(n). Here, n is the slave sequence number. When the data frame is transmitted back (when Port2 receives the first bit of the data preamble), the local clock is written into the parameters again, denoted as T2(n).

[0087] 3. The master station can calculate the local offset time based on the receiving time of the slave station, and then obtain the initial offset time. This value is then written into the slave station's system time offset register.

[0088] 4. The master station can calculate the delay of each slave station relative to the reference clock (the first DC slave station) based on the two received time values ​​T1(n) and T2(n). The calculation formula is as follows:

[0089]

[0090] Where T1 represents the time when the slave station just received the data frame, and T2 represents the time when the slave station received the data frame back. The 'n' in parentheses of T1(n) represents the sequence number of the slave station. T2(1) represents the time when slave station 1 received the data frame back, and T1(1) represents the time when slave station 1 just received the data frame. T2(n) represents the time when slave station n received the data frame back, and T1(n) represents the time when slave station n just received the data frame.

[0091] Here it is assumed that the transmission time is uniform. The delay time is calculated by the master station and written into the slave station's register system time transmission compensation parameter.

[0092] Furthermore, it employs high-throughput, high-frequency real-time data communication transmission based on a preset network protocol to address issues such as low real-time performance, weak anti-interference capabilities, and inability to handle high-throughput data transmission encountered by the data acquisition module in the distributed edge monitoring system during high-frequency data acquisition. Taking EtherCAT as an example, this method specifically includes the following:

[0093] 4.1 Master-Slave Station Design

[0094] This application employs a master-slave mode to transmit high-throughput data from the data acquisition module. The slave station relies on a slave control chip to package the acquired data into EtherCAT-related data frames, while the master station uses IGH EtherCAT for communication. Furthermore, the master station module provides corresponding device and application interfaces.

[0095] 4.2 Master-Slave Station Parameter Configuration

[0096] The configuration process for the IGH EtherCAT application is mainly designed into 5 steps:

[0097] 1. Master Station Application and Data Domain Creation. The master station is requested and the master station device is obtained by calling a function. After the master station device request is completed, the creation of the corresponding data domains begins.

[0098] 2. Configure slave devices. After the data domain is created on the master station, the master station will configure each slave device. The configuration includes: PDO mapping, SM configuration, FMMU configuration, and DC configuration.

[0099] 3. Add slave PDO configuration to the data domain, activate the master station using the user program activation function, exit the IDLE process, start the OPERATION process, begin executing master station control tasks, and obtain pointers for data domain operations.

[0100] 4. Start the real-time communication thread.

[0101] 5. When the communication thread ends, release the EtherCAT master station.

[0102] This application uses EtherCAT to achieve time synchronization and complete real-time communication transmission of high-throughput, high-frequency data, in order to address the problems of low real-time performance, weak anti-interference, and inability to meet high-throughput data transmission requirements encountered by the data acquisition module of the distributed edge monitoring system during high-frequency data acquisition.

[0103] Based on the above embodiments, as a preferred embodiment, after time synchronization, synchronous data acquisition is performed on the initial digital signal to obtain the corresponding data to be detected, including:

[0104] After time synchronization, the initial digital signal is synchronously acquired using the Wireshark network protocol to obtain the corresponding preset network protocol message to be detected.

[0105] Accordingly, the data to be tested is analyzed and tested, including:

[0106] The preset network protocol messages to be tested are analyzed and tested to obtain analysis and testing results containing the corresponding device status parameters; the device status parameters are the status parameters of the device where the external sensor to be monitored is located.

[0107] After analyzing and testing the data to be tested, the process also includes:

[0108] Monitor whether the status parameters of any device exceed the corresponding preset normal parameter range;

[0109] If any device status parameter is detected to exceed the corresponding preset normal parameter range, the corresponding parameter abnormality alarm will be triggered and the corresponding alarm log will be recorded.

[0110] In a specific embodiment, the Wireshark network protocol analysis tool is used to capture preset network protocol packets to obtain raw data and calculate the true value, and then calculate its parameter characteristic values ​​such as vibration intensity and harmonic quantities. The data analysis application of the edge node analyzes the raw signal and parameter characteristic values, such as time-frequency domain analysis and power spectrum analysis for vibration signals, and time-frequency domain analysis, harmonic analysis, and DQ transform analysis for current signals, thereby realizing intelligent processing of edge data. Based on the diagnosis of a lightweight fault diagnosis model and the early warning based on state estimation, the status of the device is judged by the obtained primary monitoring parameters and state parameters. When the limit is exceeded, an alarm is triggered and a diagnostic alarm record is provided, thereby realizing intelligent monitoring of edge devices.

[0111] Based on the above embodiments, as a preferred embodiment, after time synchronization, synchronous data acquisition of the initial digital signal is performed, including:

[0112] When the initial digital signal format conforms to the structured format, synchronous data acquisition of the initial digital signal is performed based on the process data object after time synchronization.

[0113] When the initial digital signal format conforms to the unstructured format, the initial digital signal is synchronously acquired based on the email protocol after time synchronization.

[0114] In specific embodiments, different data transmission schemes are adopted for structured and unstructured data during the data acquisition process. For repetitive data with highly similar structures and formats, such as vibration data, current and voltage data, temperature data, and pressure data, the data communication process is designed for periodic transmission. For unstructured data that is occasionally generated, such as open-circuit signals, short-circuit signals, power enable signals, and lighting control signals, non-periodic data transmission methods such as email protocols are used for transmission.

[0115] The process data communication cycle transmission requires the use of process data object communication technology. By using object dictionary mapping, the data is output to the synchronization manager SM channel. The memory management unit FMMU is responsible for converting logical addresses into physical addresses. Finally, the unit performs storage and retrieval operations on the physical addresses to complete the data writing and writing.

[0116] The embodiments of this application optimize the synchronous acquisition and transmission of data.

[0117] Based on the above embodiments, as a preferred embodiment applied to the main station, it includes:

[0118] Generate time synchronization control signals;

[0119] A time synchronization control signal is sent to the slave station so that the slave station can synchronize its time according to the time synchronization control signal, and after time synchronization, it can collect synchronous data of the initial digital signal to obtain the corresponding data to be detected; the initial digital signal is the signal obtained by the slave station after processing the sensor data obtained by the external sensor to be monitored.

[0120] Obtain the analysis and testing results generated by the slave station after analyzing and testing the data to be tested, and manage the analysis and testing results.

[0121] It should be noted that the embodiments in this application are written from the perspective of the main station, which corresponds to the embodiments from the perspective of the slave station described above, and will not be repeated here.

[0122] This application provides a cascaded edge intelligent monitoring method. This method constructs an edge computing acquisition and processing module by sensing the operating parameters and environmental data of multimodal devices, realizing intelligent sensing and data analysis and processing of edge device nodes. It also establishes business models for monitoring and diagnosing key platform equipment to achieve functions such as complex data processing, fault early warning, and data backup. This ensures the real-time performance, compatibility, and security and reliability of the industrial data acquisition system, providing managers with intuitive and reliable data support, thereby avoiding the problem of untimely predictive maintenance fault handling.

[0123] The above embodiments have described a cascaded edge intelligent monitoring method in detail. This application also provides an embodiment of a cascaded edge intelligent monitoring device. It should be noted that this application describes the device embodiment from two perspectives: one based on functional modules and the other based on hardware.

[0124] Figure 4 A cascaded edge intelligent monitoring device module diagram provided in another embodiment of this application, applied to any slave station, includes:

[0125] Data processing module 11 is used to process sensor data acquired by an external sensor to be monitored to obtain the corresponding initial digital signal;

[0126] The synchronous acquisition module 12 is used to perform time synchronization according to the time synchronization control signal sent by the master station, and to acquire synchronous data of the initial digital signal after time synchronization in order to obtain the corresponding data to be detected.

[0127] The analysis and detection module 13 is used to analyze and detect the data to be tested, and send the analysis and detection results to the main station so that the main station can manage the analysis and detection results.

[0128] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0129] Figure 5 A structural diagram of an electronic device provided in another embodiment of this application, such as... Figure 5 As shown, the electronic device includes: a memory 20 for storing computer programs;

[0130] The processor 21 is used to execute computer programs to implement the steps of a cascaded edge intelligent monitoring method as described in the above embodiments.

[0131] The electronic devices provided in this embodiment may include, but are not limited to, smartphones, tablets, laptops, or desktop computers.

[0132] The processor 21 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 21 may be implemented using at least one of the following hardware forms: Digital Signal Processor (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor, also known as the Central Processing Unit (CPU), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 21 may also include an Artificial Intelligence (AI) processor, which is used to handle computational operations related to machine learning.

[0133] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In this embodiment, the memory 20 is used to store at least the following computer program 201, which, after being loaded and executed by the processor 21, is capable of implementing the relevant steps of the cascaded monitoring method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, and the storage method may be temporary or permanent storage. The operating system 202 may include Windows, Unix, Linux, etc.

[0134] In some embodiments, the electronic device may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0135] Those skilled in the art will understand that Figure 5 The structures shown do not constitute a limitation on electronic devices and may include more or fewer components than those shown.

[0136] The electronic device provided in this application includes a memory and a processor. When the processor executes a program stored in the memory, it can implement the following method: a cascaded edge intelligent monitoring method.

[0137] Finally, this application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps described in the above method embodiments (which may be a method corresponding to the slave station side, a method corresponding to the master station side, or a method corresponding to both the slave station side and the master station side).

[0138] It is understood that if the methods in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0139] The foregoing provides a detailed description of a cascaded edge intelligent monitoring method, apparatus, electronic device, and medium provided in this application. The various embodiments in the specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0140] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A cascaded edge intelligent monitoring method, characterized in that, Applicable to any slave station, including: The sensor data acquired through the external sensor under monitoring is processed to obtain the corresponding initial digital signal. Specifically, this includes: sequentially performing constant current source driving, high-pass filtering, amplification gain, and low-pass filtering on the signal from the IEPE accelerometer to obtain the corresponding first initial analog signal; using a voltage conversion device to isolate and convert the current signal of the secondary circuit into a voltage signal, and converting the voltage signal of the secondary circuit into a signal within a voltage range matching the ADC range to obtain the corresponding second initial analog signal; based on the sensor circuit self-test technology, and through a sensor transmitter, amplification gain, and rectification / feedback, the 4-20mA signal is processed to obtain the corresponding third initial analog signal; the first initial analog signal, the second initial analog signal, and the third initial analog signal are respectively subjected to analog-to-digital conversion processing to obtain the corresponding initial digital signal. Based on the time synchronization control signal sent by the master station and the distributed clock under the preset network protocol, time synchronization is performed, and after time synchronization, the initial digital signal is synchronized and data is collected to obtain the corresponding data to be detected. The data to be detected is analyzed and detected, and the analysis and detection results are sent to the main station so that the main station can manage the analysis and detection results; The step of synchronously acquiring data from the initial digital signal after time synchronization to obtain the corresponding data to be detected includes: After time synchronization, the initial digital signal is synchronously acquired using the Wireshark network protocol to obtain the corresponding preset network protocol message to be detected. Accordingly, the analysis and detection of the data to be detected includes: The preset network protocol messages to be detected are analyzed and detected to obtain analysis and detection results containing corresponding device status parameters; the device status parameters are the status parameters of the device where the external sensor to be monitored is located. The step of synchronously acquiring data from the initial digital signal after time synchronization includes: When the initial digital signal format conforms to the structured format, synchronous data acquisition is performed on the initial digital signal based on the process data object after the time synchronization. When the initial digital signal format conforms to the unstructured format, the initial digital signal is synchronously acquired based on the email protocol after time synchronization.

2. The cascaded edge intelligent monitoring method according to claim 1, characterized in that, After analyzing and detecting the data to be detected, the method further includes: Monitor whether any of the device status parameters exceeds the corresponding preset normal parameter range; If any of the device status parameters is detected to exceed the corresponding preset normal parameter range, the corresponding parameter abnormality alarm will be triggered and the corresponding alarm log will be recorded.

3. A cascaded edge intelligent monitoring method, characterized in that, Applied to the main site, including: Generate time synchronization control signals; The time synchronization control signal is sent to the slave station so that the slave station can perform time synchronization according to the time synchronization control signal and a distributed clock under a preset network protocol, and after time synchronization, it can perform synchronization data acquisition on the initial digital signal to obtain the corresponding data to be detected; the initial digital signal is the signal obtained by the slave station after processing the sensor data acquired by the external sensor to be monitored; wherein, the processing of the sensor data acquired by the slave station through the external sensor to be monitored includes: performing constant current source driving, high-pass filtering, amplification gain, and low-pass filtering on the signal of the IEPE accelerometer in sequence to obtain the corresponding first initial analog signal; using a voltage conversion device to isolate and convert the current signal of the secondary circuit into a voltage signal, and converting the voltage signal of the secondary circuit into a signal that is compatible with the ADC quantity. The signal within the voltage range of the process matching is used to obtain a corresponding second initial analog signal; based on the sensor loop self-test technology, the 4-20mA signal is processed through a sensor transmitter, amplification gain, and rectification / feedback to obtain a corresponding third initial analog signal; the first initial analog signal, the second initial analog signal, and the third initial analog signal are respectively subjected to analog-to-digital conversion to obtain the corresponding initial digital signal; wherein, the synchronous data acquisition of the initial digital signal after time synchronization includes: when the format of the initial digital signal conforms to a structured format, synchronous data acquisition of the initial digital signal is performed based on the process data object after time synchronization; when the format of the initial digital signal conforms to an unstructured format, synchronous data acquisition of the initial digital signal is performed based on the email protocol after time synchronization. The system acquires and manages the analysis and detection results generated by the slave station after analyzing and detecting the data to be detected. Specifically, when the initial digital signal is synchronously acquired after time synchronization to obtain the corresponding data to be detected, or when the initial digital signal is synchronously acquired using the Wireshark network protocol after time synchronization to obtain the corresponding preset network protocol message to be detected, the analysis and detection of the data to be detected includes: analyzing and detecting the preset network protocol message to be detected to obtain an analysis and detection result containing corresponding device status parameters; the device status parameters are the status parameters of the device where the external sensor to be monitored is located.

4. A cascaded edge intelligent monitoring device, characterized in that, Applicable to any slave station, including: The data processing module is used to process sensor data acquired by an external sensor to obtain corresponding initial digital signals. Specifically, this includes: sequentially processing the signal from the IEPE accelerometer with constant current source drive, high-pass filtering, amplification gain, and low-pass filtering to obtain a first initial analog signal; using a voltage conversion device to isolate and convert the current signal of the secondary circuit into a voltage signal, and then converting the voltage signal of the secondary circuit into a signal within a voltage range matching the ADC range to obtain a second initial analog signal; processing the 4-20mA signal based on sensor circuit self-testing technology and through a sensor transmitter, amplification gain, and rectification / feedback to obtain a third initial analog signal; and performing analog-to-digital conversion processing on the first, second, and third initial analog signals to obtain the corresponding initial digital signals. The synchronization acquisition module is used to perform time synchronization based on the time synchronization control signal sent by the master station and a distributed clock under a preset network protocol, and to acquire synchronous data of the initial digital signal after time synchronization to obtain the corresponding data to be detected; wherein, the synchronous data acquisition of the initial digital signal after time synchronization includes: when the format of the initial digital signal conforms to a structured format, synchronous data acquisition of the initial digital signal based on a process data object after time synchronization; when the format of the initial digital signal conforms to an unstructured format, synchronous data acquisition of the initial digital signal based on an email protocol after time synchronization. The analysis and detection module is used to analyze and detect the data to be detected and send the analysis and detection results to the main station so that the main station can manage the analysis and detection results. Specifically, when the initial digital signal is synchronously acquired after time synchronization to obtain the corresponding data to be detected, or when the initial digital signal is synchronously acquired using the Wireshark network protocol after time synchronization to obtain the corresponding preset network protocol message to be detected, the analysis and detection of the data to be detected includes: analyzing and detecting the preset network protocol message to be detected to obtain an analysis and detection result containing corresponding device status parameters; the device status parameters are the status parameters of the device where the external sensor to be monitored is located.

5. An electronic device, characterized in that, Includes memory used to store computer programs; A processor, configured to implement the steps of the cascaded edge intelligent monitoring method as described in any one of claims 1 to 3 when executing the computer program.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the cascaded edge intelligent monitoring method as described in any one of claims 1 to 3.

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