High-reliability optimization method and system for industrial-grade communication and medium

Abstract

The invention provides a high-reliability optimization method and system for industrial-grade communication and a medium. The method comprises the following steps: monitoring a target industrial communication system and extracting equipment performance characteristic data; processing to obtain an equipment performance rationality index; extracting link quality characteristic data and network topology characteristic data; processing to obtain a communication quality reliability index; extracting data transmission characteristic data, processing to obtain a data transmission stability index, obtaining environment characteristic data and signal attenuation characteristic data of a working place where the target industrial communication system is located, and processing to obtain a place performance interference coefficient; according to the technical scheme, an equipment performance rationality index, a communication quality reliability index and a data transmission stability index are combined for processing, a system performance comprehensive evaluation index is obtained, corresponding optimization measures are taken for a target industrial communication system, and therefore the high-reliability optimization technology of industrial-grade communication is achieved.

Description

Technical Field

[0001] The present application relates to the field of industrial-grade communication technology, and in particular to a high-reliability optimization method, system and medium for industrial-grade communication. Background Art

[0002] In the smart construction site environment, a large number of sensors, monitoring equipment, construction machinery automation systems, etc. require stable and reliable communication. However, the communication environment in the smart construction site is complex, and there are problems such as electromagnetic interference and signal blocking, which lead to the decline of communication signal quality and increase of bit error rate. At the same time, different construction site equipment has different requirements for the real-time and reliability of communication. The existing communication technology cannot effectively cope with this complex and changeable situation, which affects the stable operation of the smart construction site system.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a high-reliability optimization method, system and medium for industrial-grade communication, which can monitor the target industrial communication system and extract equipment performance characteristic data, process to obtain the equipment performance rationality index, extract link quality characteristic data and network topology characteristic data, process to obtain the communication quality reliability index, extract data transmission characteristic data, process to obtain the data transmission stability index, obtain the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, process to obtain the site performance interference coefficient, and process in combination with the equipment performance rationality index, the communication quality reliability index and the data transmission stability index to obtain the system performance comprehensive evaluation index, and take corresponding optimization measures for the target industrial communication system, so as to realize the technology of high-reliability optimization of industrial-grade communication.

[0005] The present application also provides a high reliability optimization method for industrial-grade communication, comprising the following steps: Monitor the equipment operation status information of the target industrial communication system, extract equipment performance characteristic data, and process to obtain the equipment performance rationality index; Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index; Monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index; Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and process to obtain a workplace performance interference coefficient; According to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient, a comprehensive system performance evaluation index is obtained, and corresponding optimization measures are taken for the target industrial communication system.

[0006] Optionally, in the high reliability optimization method for industrial-grade communication described in the present application, the monitoring of the equipment operation status information of the target industrial communication system, extracting equipment performance characteristic data, and processing to obtain the equipment performance rationality index include: Monitor the equipment operation status information of the target industrial communication system and extract equipment performance characteristic data, including equipment processing capacity characteristic data and port performance characteristic data; The device processing capability characteristic data includes CPU usage data and memory occupancy data; The port performance characteristic data includes port bandwidth utilization data and port error count data; The CPU usage data and the memory occupancy data are processed in combination with the port bandwidth utilization data and the port error count data to obtain a device performance rationality index.

[0007] Optionally, in the high reliability optimization method for industrial-grade communication described in the present application, the collecting of monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index include: Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data; The link quality characteristic data includes signal strength data and link noise data; The network topology feature data includes network node connection number data and network path length data; The signal strength data and the link noise data are processed in combination with the network node connection number data and the network path length data to obtain a communication quality reliability index.

[0008] Optionally, in the high reliability optimization method for industrial-grade communication described in the present application, monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index includes: Monitoring the data transmission status information of the target industrial communication system within a preset time period, and extracting data transmission feature data; The data transmission characteristic data includes maximum transmission delay data, data packet loss rate data and data flow characteristic data; Extract and process the data flow characteristic data to obtain flow peak data and flow average data; The data transmission stability index is obtained by processing the maximum transmission delay data, the data packet loss rate data, the traffic peak data and the traffic average value data.

[0009] Optionally, in the high reliability optimization method for industrial-grade communication described in the present application, the step of acquiring environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and processing to obtain the workplace performance interference coefficient includes: Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located; The environmental characteristic data includes electromagnetic interference intensity data, electromagnetic interference frequency data, humidity data and dust concentration data; The signal attenuation characteristic data includes signal transmission distance data and path loss data; The electromagnetic interference intensity data, the electromagnetic interference frequency data, the humidity data and the dust concentration data are processed in combination with the signal transmission distance data and the path loss data to obtain a venue performance interference coefficient.

[0010] Optionally, in the high reliability optimization method for industrial-grade communication described in the present application, the equipment performance rationality index, the communication quality reliability index and the data transmission stability index are processed in combination with the site performance interference coefficient to obtain a system performance comprehensive evaluation index, and corresponding optimization measures are taken for the target industrial communication system, including: According to the equipment performance rationality index, the communication quality reliability index and the data transmission stability index, the site performance interference coefficient is processed through a preset communication performance evaluation model to obtain a system performance comprehensive evaluation index; Comparing the system performance comprehensive evaluation index with a preset system performance comprehensive evaluation threshold to obtain a threshold comparison result; Obtaining a performance reliability level of the target industrial communication system according to the threshold comparison result; Take corresponding optimization measures according to the performance reliability level.

[0011] In a second aspect, the present application provides a high reliability optimization system for industrial-grade communication, the system comprising: a memory and a processor, the memory comprising a program of a high reliability optimization method for industrial-grade communication, and the program of the high reliability optimization method for industrial-grade communication is executed by the processor to implement the following steps: Monitor the equipment operation status information of the target industrial communication system, extract equipment performance characteristic data, and process to obtain the equipment performance rationality index; Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index; Monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index; Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and process to obtain a workplace performance interference coefficient; According to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient, a comprehensive system performance evaluation index is obtained, and corresponding optimization measures are taken for the target industrial communication system.

[0012] Optionally, in the high reliability optimization system for industrial-grade communication described in the present application, the monitoring of the equipment operation status information of the target industrial communication system, extracting the equipment performance characteristic data, and processing to obtain the equipment performance rationality index include: Monitor the equipment operation status information of the target industrial communication system and extract equipment performance characteristic data, including equipment processing capacity characteristic data and port performance characteristic data; The device processing capability characteristic data includes CPU usage data and memory occupancy data; The port performance characteristic data includes port bandwidth utilization data and port error count data; The CPU usage data and the memory occupancy data are processed in combination with the port bandwidth utilization data and the port error count data to obtain a device performance rationality index.

[0013] Optionally, in the high reliability optimization system for industrial-grade communication described in the present application, the collecting of monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index include: Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data; The link quality characteristic data includes signal strength data and link noise data; The network topology feature data includes network node connection number data and network path length data; The signal strength data and the link noise data are processed in combination with the network node connection number data and the network path length data to obtain a communication quality reliability index.

[0014] In a third aspect, the present application also provides a computer-readable storage medium, which stores a high-reliability optimization method program for industrial-grade communications. When the high-reliability optimization method program for industrial-grade communications is executed by a processor, the steps of the high-reliability optimization method for industrial-grade communications as described in any one of the above items are implemented.

[0015] As can be seen from the above, the high-reliability optimization method, system and medium of industrial-grade communication disclosed in the present invention monitor the equipment operation status information of the target industrial communication system, extract equipment performance characteristic data, process to obtain the equipment performance rationality index, collect monitoring information of the target industrial communication system, extract link quality characteristic data and network topology characteristic data, process to obtain the communication quality reliability index, monitor the data transmission status information of the target industrial communication system within a preset time period, extract data transmission characteristic data, process to obtain the data transmission stability index, obtain the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, process to obtain the site performance interference coefficient, according to the equipment performance rationality index, the communication quality reliability index and the data transmission stability index, combined with the site performance interference coefficient, process to obtain the system performance comprehensive evaluation index, and take corresponding optimization measures for the target industrial communication system, thereby realizing the technology of high-reliability optimization of industrial-grade communication.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of a high reliability optimization method for industrial-grade communications provided in an embodiment of the present application; Figure 2 A flow chart of obtaining a device performance rationality index for a high reliability optimization method for industrial-grade communications provided in an embodiment of the present application; Figure 3 A flow chart of obtaining a communication quality reliability index for a high reliability optimization method for industrial-grade communication provided in an embodiment of the present application; Figure 4A flow chart of obtaining a data transmission stability index for a high reliability optimization method for industrial-grade communications provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 1 is a flow chart of a high reliability optimization method for industrial-grade communication in some embodiments of the present application. The high reliability optimization method for industrial-grade communication is used in terminal devices, such as computers, mobile terminals, etc. The high reliability optimization method for industrial-grade communication includes the following steps: S11, monitor the equipment operation status information of the target industrial communication system, extract the equipment performance characteristic data, and process to obtain the equipment performance rationality index; S12, collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index; S13, monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index; S14, obtaining environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and processing to obtain a workplace performance interference coefficient; S15. According to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient, a system performance comprehensive evaluation index is obtained, and corresponding optimization measures are taken for the target industrial communication system.

[0022] It should be noted that in the smart construction site environment, a large number of sensors, monitoring equipment, construction machinery automation systems, etc. require stable and reliable communication. However, the communication environment in the smart construction site is complex, and there are problems such as electromagnetic interference and signal blocking, which lead to a decrease in the quality of communication signals and an increase in the bit error rate. At the same time, different construction site equipment has different requirements for the real-time and reliability of communication. The existing communication technology cannot effectively cope with this complex and changeable situation, which affects the stable operation of the smart construction site system. Therefore, the technology of this application provides a high-reliability optimization method for industrial-grade communication, which can ensure the high reliability of industrial communication in complex environments. In this embodiment, firstly, the equipment operation status information of the target industrial communication system is monitored, and the equipment performance characteristic data is extracted to process the obtained equipment. Performance rationality index, collects monitoring information of the target industrial communication system, extracts link quality characteristic data and network topology characteristic data, processes to obtain the communication quality reliability index, monitors the data transmission status information of the target industrial communication system within a preset time period, and extracts data transmission characteristic data, processes to obtain the data transmission stability index, obtains the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, processes to obtain the site performance interference coefficient, and processes according to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient to obtain the system performance comprehensive evaluation index, and takes corresponding optimization measures for the target industrial communication system, thereby realizing high reliability optimization technology for industrial-grade communications.

[0023] Please refer to Figure 2 , Figure 2 The flowchart of obtaining the device performance rationality index of the high reliability optimization method of industrial communication in some embodiments of the present application is as follows. According to the embodiment of the present invention, the device operation status information of the monitoring target industrial communication system, and the device performance characteristic data are extracted, and the device performance rationality index is obtained by processing, including: S21, monitoring the equipment operation status information of the target industrial communication system, and extracting equipment performance characteristic data, including equipment processing capability characteristic data and port performance characteristic data; S22, the device processing capability characteristic data includes CPU usage data and memory occupancy data; S23, the port performance characteristic data includes port bandwidth utilization data and port error count data; S24. Processing is performed according to the CPU usage data and the memory occupancy data in combination with the port bandwidth utilization data and the port error count data to obtain a device performance rationality index.

[0024] It should be noted that the equipment operation status information of the target industrial communication system is monitored, and equipment performance characteristic data is extracted, including equipment processing capacity characteristic data and port performance characteristic data. The equipment processing capacity characteristic data includes CPU usage data and memory occupancy data. The CPU usage of industrial communication equipment (such as switches, routers, etc.) reflects the busyness of the equipment in processing data. Excessive memory occupancy may cause the equipment to run slowly or even fail. The port performance characteristic data includes port bandwidth utilization data and port error count data. Port bandwidth utilization is the key data for measuring link load. Port error counts include received error frames, CRC check errors, etc. An increase in port error counts may indicate a decrease in link quality or a failure of the equipment port. Then, the above data is processed to obtain the equipment performance rationality index. The calculation formula of the equipment performance rationality index is: ; in, To prepare the performance rationality index, , They are CPU usage data and memory usage data. , They are port bandwidth utilization data and port error count data. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0025] Please refer to Figure 3 , Figure 3 The invention is a flowchart of obtaining a communication quality reliability index of a high reliability optimization method for industrial-grade communication in some embodiments of the present application. According to an embodiment of the present invention, the monitoring information of the target industrial communication system is collected, link quality feature data and network topology feature data are extracted, and the communication quality reliability index is obtained by processing, including: S31, collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data; S32, the link quality characteristic data includes signal strength data and link noise data; S33, the network topology feature data includes network node connection number data and network path length data; S34. Process the signal strength data and link noise data in combination with the network node connection number data and the network path length data to obtain a communication quality reliability index.

[0026] It should be noted that the monitoring information of the target industrial communication system is collected to extract link quality feature data and network topology feature data. The link quality feature data includes signal strength data and link noise data. In industrial wireless communications (such as Wi-Fi, Zigbee, etc.), signal strength is important data, while link noise will interfere with communication signals and affect the accuracy of data transmission. The network topology feature data includes network node connection number data and network path length data. The number of network node (device) connections reflects the complexity of the network and the potential risk of failure. The number of nodes (hops) that data passes through in the network will affect the delay and reliability. The above data is then processed to obtain the communication quality reliability index. The calculation formula of the communication quality reliability index is: ; in, is the communication quality reliability index, , They are signal strength data and link noise data respectively. , They are the network node connection number data and the network path length data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0027] Please refer to Figure 4 , Figure 4 The invention is a flowchart of obtaining a data transmission stability index of a high reliability optimization method for industrial communication in some embodiments of the present application. According to an embodiment of the present invention, the data transmission status information of the target industrial communication system is monitored within a preset time period, and data transmission feature data is extracted, and the data transmission stability index is obtained by processing, including: S41, monitoring the data transmission status information of the target industrial communication system within a preset time period, and extracting data transmission feature data; S42, the data transmission characteristic data includes maximum transmission delay data, data packet loss rate data and data flow characteristic data; S43, extracting and processing the data flow characteristic data to obtain flow peak data and flow average data; S44, processing is performed according to the maximum transmission delay data, the data packet loss rate data, the flow peak data and the flow average data to obtain a data transmission stability index.

[0028] It should be noted that the data transmission status information of the target industrial communication system within a preset time period is monitored, and data transmission characteristic data is extracted, wherein the data transmission characteristic data includes the maximum transmission delay, the data packet loss rate and the data flow characteristic data, and the transmission delay includes the sending delay, the propagation delay, the processing delay and the queuing delay, etc., and the maximum value of the delay data is extracted from these delay data, and the data packet loss rate refers to the ratio of the number of data packets lost during the transmission process to the total number of data packets sent. The data flow characteristic data is extracted and processed to obtain the flow peak value and the flow average value data, and then the data is processed according to the above data to obtain the data transmission stability index; The calculation formula of the data transmission stability index is: ; in, is the data transmission stability index, , , , They are the maximum transmission delay data, data packet loss rate data, traffic peak data, and traffic average data. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0029] According to an embodiment of the present invention, the step of acquiring environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and processing to obtain the workplace performance interference coefficient includes: Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located; The environmental characteristic data includes electromagnetic interference intensity data, electromagnetic interference frequency data, humidity data and dust concentration data; The signal attenuation characteristic data includes signal transmission distance data and path loss data; The electromagnetic interference intensity data, the electromagnetic interference frequency data, the humidity data and the dust concentration data are processed in combination with the signal transmission distance data and the path loss data to obtain a venue performance interference coefficient.

[0030] It should be noted that the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located are obtained, where the environmental characteristic data include electromagnetic interference intensity, electromagnetic interference frequency, humidity data and dust concentration data. A high humidity environment (relative humidity exceeding 70%) may cause moisture inside the communication equipment, causing short circuit or corrosion, and dust may block the equipment's heat dissipation holes or ports. The signal attenuation characteristic data includes signal transmission distance data and path loss data. In a construction site environment, the distance between communication equipment and the signal transmission path have a great impact on reliability. According to the free space loss formula, the signal strength will decay in inverse proportion to the square as the distance increases. Then, the above data is processed to obtain the site performance interference coefficient. The calculation formula of the site performance interference coefficient is: ; in, is the site performance interference coefficient, , , , They are electromagnetic interference intensity data, electromagnetic interference frequency data, humidity data, and dust concentration data. , They are signal transmission distance data and path loss data respectively. , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0031] According to an embodiment of the present invention, the device performance rationality index, the communication quality reliability index and the data transmission stability index are processed in combination with the site performance interference coefficient to obtain a system performance comprehensive evaluation index, and corresponding optimization measures are taken for the target industrial communication system, including: According to the equipment performance rationality index, the communication quality reliability index and the data transmission stability index, the site performance interference coefficient is processed through a preset communication performance evaluation model to obtain a system performance comprehensive evaluation index; Comparing the system performance comprehensive evaluation index with a preset system performance comprehensive evaluation threshold to obtain a threshold comparison result; Obtaining a performance reliability level of the target industrial communication system according to the threshold comparison result; Take corresponding optimization measures according to the performance reliability level.

[0032] It should be noted that it is necessary to understand the performance reliability level of the target industrial communication system in order to take corresponding optimization measures. Therefore, according to the equipment performance rationality index, communication quality reliability index and data transmission stability index that have been processed, combined with the site performance interference coefficient, the calculation formula of the preset communication performance evaluation model is used to obtain the system performance comprehensive evaluation index, and then the index is compared with the preset value, and the performance reliability level of the target industrial communication system is judged according to the comparison result; The calculation formula of the system performance comprehensive evaluation index is: ; in, is the comprehensive evaluation index of system performance. , , , They are equipment performance rationality index, communication quality reliability index, data transmission stability index, and site performance interference coefficient. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0033] According to an embodiment of the present invention, it also includes: Monitoring reliability index data of the target industrial communication system within a preset time period after taking optimization measures; The reliability index data includes system availability data, bit error rate data, redundant switching time data and network convergence time data; Processing is performed according to the system availability data, bit error rate data, redundant switching time data, and network convergence time data to obtain a system performance optimization effect index; Comparing the system performance optimization effect index with a preset system performance optimization effect threshold to obtain a comparison result; Determine whether the target industrial system needs to adjust the optimization plan and perform performance optimization again according to the comparison result; The calculation formula of the system performance optimization effect index is: ; in, It is the system performance optimization effect index. , , , They are system availability data, bit error rate data, redundant switching time data, and network convergence time data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0034] It should be noted that it is necessary to understand the operating status of the target industrial communication system after optimization measures are taken in order to evaluate the optimization effect. If the optimization effect is not ideal, it is necessary to adjust the optimization plan and perform performance optimization again. Therefore, it is necessary to process the reliability index data to obtain the system performance optimization effect index, where the reliability index data includes system availability data, bit error rate data, redundant switching time data and network convergence time data. System availability refers to the probability that the system can operate normally under specified conditions and time. The bit error rate refers to the ratio of the number of erroneous bits to the total number of transmitted bits during data transmission. The redundant switching time refers to the time required for the backup device or backup link to take over after the main device or main link fails. The network convergence time is the time from the change of topology structure to the restoration of normal communication in the network.

[0035] According to an embodiment of the present invention, it also includes: Acquire device operation time characteristic data and device fault record data of the device of the target industrial communication system; The equipment operation time characteristic data includes cumulative operation time data and continuous operation time maximum value data; Equipment fault record data includes error count growth rate data and alarm frequency data; According to the accumulated running time data and the maximum continuous running time data, combined with the error count growth rate data and the alarm frequency data, processing is performed to obtain an equipment loss index; Compare the equipment loss index with a preset equipment loss threshold to obtain a comparison result; Acquire the regular maintenance cycle data of the equipment according to the comparison result; The calculation formula of the equipment loss index is: ; in, is the equipment loss index, , They are the cumulative running time data and the maximum continuous running time data. , They are error count growth rate data and alarm frequency data respectively. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0036] It should be noted that it is necessary to specify a reasonable regular maintenance cycle for the target industrial communication, which can not only ensure system performance but also reduce maintenance costs. It can be judged based on the equipment's operating time and equipment failure conditions. Among them, the equipment operating time characteristic data includes cumulative operating time data and continuous operating time maximum value data. The cumulative operating time is the total operating time of the equipment since it was put into use. The equipment failure record data includes error count growth rate data and alarm frequency data. Industrial communication equipment will record various errors, such as port errors, protocol errors, etc. If the growth rate of the error count accelerates, for example, the daily port error count of the device increases from single digits to tens of digits, this indicates that the device may have potential problems. Then, based on the cumulative operating time data and the continuous operating time maximum value data, combined with the error count growth rate data and the alarm frequency data, the equipment loss index is obtained, and then compared with the preset value, and the corresponding maintenance cycle is formulated according to the comparison results.

[0037] In a second aspect, the present invention further discloses a high reliability optimization system for industrial-grade communication, including a memory and a processor, wherein the memory includes a high reliability optimization method program for industrial-grade communication, and when the high reliability optimization method program for industrial-grade communication is executed by the processor, the following steps are implemented: Monitor the equipment operation status information of the target industrial communication system, extract equipment performance characteristic data, and process to obtain the equipment performance rationality index; Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index; Monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index; Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and process to obtain a workplace performance interference coefficient; According to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient, a comprehensive system performance evaluation index is obtained, and corresponding optimization measures are taken for the target industrial communication system.

[0038] It should be noted that in the smart construction site environment, a large number of sensors, monitoring equipment, construction machinery automation systems, etc. require stable and reliable communication. However, the communication environment in the smart construction site is complex, and there are problems such as electromagnetic interference and signal blocking, which lead to a decrease in the quality of communication signals and an increase in the bit error rate. At the same time, different construction site equipment has different requirements for the real-time and reliability of communication. The existing communication technology cannot effectively cope with this complex and changeable situation, which affects the stable operation of the smart construction site system. Therefore, the technology of this application provides a high-reliability optimization method for industrial-grade communication, which can ensure the high reliability of industrial communication in complex environments. In this embodiment, firstly, the equipment operation status information of the target industrial communication system is monitored, and the equipment performance characteristic data is extracted to process the obtained equipment. Performance rationality index, collects monitoring information of the target industrial communication system, extracts link quality characteristic data and network topology characteristic data, processes to obtain the communication quality reliability index, monitors the data transmission status information of the target industrial communication system within a preset time period, and extracts data transmission characteristic data, processes to obtain the data transmission stability index, obtains the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, processes to obtain the site performance interference coefficient, and processes according to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient to obtain the system performance comprehensive evaluation index, and takes corresponding optimization measures for the target industrial communication system, thereby realizing high reliability optimization technology for industrial-grade communications.

[0039] According to an embodiment of the present invention, the monitoring of the equipment operation status information of the target industrial communication system, extracting the equipment performance characteristic data, and processing to obtain the equipment performance rationality index includes: Monitor the equipment operation status information of the target industrial communication system and extract equipment performance characteristic data, including equipment processing capacity characteristic data and port performance characteristic data; The device processing capability characteristic data includes CPU usage data and memory occupancy data; The port performance characteristic data includes port bandwidth utilization data and port error count data; The CPU usage data and the memory occupancy data are processed in combination with the port bandwidth utilization data and the port error count data to obtain a device performance rationality index.

[0040] It should be noted that the equipment operation status information of the target industrial communication system is monitored, and equipment performance characteristic data is extracted, including equipment processing capacity characteristic data and port performance characteristic data. The equipment processing capacity characteristic data includes CPU usage data and memory occupancy data. The CPU usage of industrial communication equipment (such as switches, routers, etc.) reflects the busyness of the equipment in processing data. Excessive memory occupancy may cause the equipment to run slowly or even fail. The port performance characteristic data includes port bandwidth utilization data and port error count data. Port bandwidth utilization is the key data for measuring link load. Port error counts include received error frames, CRC check errors, etc. An increase in port error counts may indicate a decrease in link quality or a failure of the equipment port. Then, the above data is processed to obtain the equipment performance rationality index. The calculation formula of the equipment performance rationality index is: ; in, To prepare the performance rationality index, , They are CPU usage data and memory usage data. , They are port bandwidth utilization data and port error count data. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0041] According to an embodiment of the present invention, the collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index includes: Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data; The link quality characteristic data includes signal strength data and link noise data; The network topology feature data includes network node connection number data and network path length data; The signal strength data and the link noise data are processed in combination with the network node connection number data and the network path length data to obtain a communication quality reliability index.

[0042] It should be noted that the monitoring information of the target industrial communication system is collected to extract link quality feature data and network topology feature data. The link quality feature data includes signal strength data and link noise data. In industrial wireless communications (such as Wi-Fi, Zigbee, etc.), signal strength is important data, while link noise will interfere with communication signals and affect the accuracy of data transmission. The network topology feature data includes network node connection number data and network path length data. The number of network node (device) connections reflects the complexity of the network and the potential risk of failure. The number of nodes (hops) that data passes through in the network will affect the delay and reliability. The above data is then processed to obtain the communication quality reliability index. The calculation formula of the communication quality reliability index is: ; in, is the communication quality reliability index, , They are signal strength data and link noise data respectively. , They are the network node connection number data and the network path length data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0043] According to an embodiment of the present invention, monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index includes: Monitoring the data transmission status information of the target industrial communication system within a preset time period, and extracting data transmission feature data; The data transmission characteristic data includes maximum transmission delay data, data packet loss rate data and data flow characteristic data; Extract and process the data flow characteristic data to obtain flow peak data and flow average data; The data transmission stability index is obtained by processing the maximum transmission delay data, the data packet loss rate data, the traffic peak data and the traffic average value data.

[0044] It should be noted that the data transmission status information of the target industrial communication system within a preset time period is monitored, and data transmission characteristic data is extracted, wherein the data transmission characteristic data includes the maximum transmission delay, the data packet loss rate and the data flow characteristic data, and the transmission delay includes the sending delay, the propagation delay, the processing delay and the queuing delay, etc., and the maximum value of the delay data is extracted from these delay data, and the data packet loss rate refers to the ratio of the number of data packets lost during the transmission process to the total number of data packets sent. The data flow characteristic data is extracted and processed to obtain the flow peak value and the flow average value data, and then the data is processed according to the above data to obtain the data transmission stability index; The calculation formula of the data transmission stability index is: ; in, is the data transmission stability index, , , , They are the maximum transmission delay data, data packet loss rate data, traffic peak data, and traffic average data. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0045] According to an embodiment of the present invention, the step of acquiring environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and processing to obtain the workplace performance interference coefficient includes: Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located; The environmental characteristic data includes electromagnetic interference intensity data, electromagnetic interference frequency data, humidity data and dust concentration data; The signal attenuation characteristic data includes signal transmission distance data and path loss data; The electromagnetic interference intensity data, the electromagnetic interference frequency data, the humidity data and the dust concentration data are processed in combination with the signal transmission distance data and the path loss data to obtain a venue performance interference coefficient.

[0046] It should be noted that the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located are obtained, where the environmental characteristic data include electromagnetic interference intensity, electromagnetic interference frequency, humidity data and dust concentration data. A high humidity environment (relative humidity exceeding 70%) may cause moisture inside the communication equipment, causing short circuit or corrosion, and dust may block the equipment's heat dissipation holes or ports. The signal attenuation characteristic data includes signal transmission distance data and path loss data. In a construction site environment, the distance between communication equipment and the signal transmission path have a great impact on reliability. According to the free space loss formula, the signal strength will decay in inverse proportion to the square as the distance increases. Then, the above data is processed to obtain the site performance interference coefficient. The calculation formula of the site performance interference coefficient is: ; in, is the site performance interference coefficient, , , , They are electromagnetic interference intensity data, electromagnetic interference frequency data, humidity data, and dust concentration data. , They are signal transmission distance data and path loss data respectively. , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0047] According to an embodiment of the present invention, the device performance rationality index, the communication quality reliability index and the data transmission stability index are processed in combination with the site performance interference coefficient to obtain a system performance comprehensive evaluation index, and corresponding optimization measures are taken for the target industrial communication system, including: According to the equipment performance rationality index, the communication quality reliability index and the data transmission stability index, the site performance interference coefficient is processed through a preset communication performance evaluation model to obtain a system performance comprehensive evaluation index; Comparing the system performance comprehensive evaluation index with a preset system performance comprehensive evaluation threshold to obtain a threshold comparison result; Obtaining a performance reliability level of the target industrial communication system according to the threshold comparison result; Take corresponding optimization measures according to the performance reliability level.

[0048] It should be noted that it is necessary to understand the performance reliability level of the target industrial communication system in order to take corresponding optimization measures. Therefore, according to the equipment performance rationality index, communication quality reliability index and data transmission stability index that have been processed, combined with the site performance interference coefficient, the calculation formula of the preset communication performance evaluation model is used to obtain the system performance comprehensive evaluation index, and then the index is compared with the preset value, and the performance reliability level of the target industrial communication system is judged according to the comparison result; The calculation formula of the system performance comprehensive evaluation index is: ; in, is the comprehensive evaluation index of system performance. , , , They are equipment performance rationality index, communication quality reliability index, data transmission stability index, and site performance interference coefficient. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0049] According to an embodiment of the present invention, it also includes: Monitoring reliability index data of the target industrial communication system within a preset time period after taking optimization measures; The reliability index data includes system availability data, bit error rate data, redundant switching time data and network convergence time data; Processing is performed according to the system availability data, bit error rate data, redundant switching time data, and network convergence time data to obtain a system performance optimization effect index; Comparing the system performance optimization effect index with a preset system performance optimization effect threshold to obtain a comparison result; Determine whether the target industrial system needs to adjust the optimization plan and perform performance optimization again according to the comparison result; The calculation formula of the system performance optimization effect index is: ; in, It is the system performance optimization effect index. , , , They are system availability data, bit error rate data, redundant switching time data, and network convergence time data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0050] It should be noted that it is necessary to understand the operating status of the target industrial communication system after optimization measures are taken in order to evaluate the optimization effect. If the optimization effect is not ideal, it is necessary to adjust the optimization plan and perform performance optimization again. Therefore, it is necessary to process the reliability index data to obtain the system performance optimization effect index, where the reliability index data includes system availability data, bit error rate data, redundant switching time data and network convergence time data. System availability refers to the probability that the system can operate normally under specified conditions and time. The bit error rate refers to the ratio of the number of erroneous bits to the total number of transmitted bits during data transmission. The redundant switching time refers to the time required for the backup device or backup link to take over after the main device or main link fails. The network convergence time is the time from the change of topology structure to the restoration of normal communication in the network.

[0051] According to an embodiment of the present invention, it also includes: Acquire device operation time characteristic data and device fault record data of the device of the target industrial communication system; The equipment operation time characteristic data includes cumulative operation time data and continuous operation time maximum value data; Equipment fault record data includes error count growth rate data and alarm frequency data; According to the accumulated running time data and the maximum continuous running time data, combined with the error count growth rate data and the alarm frequency data, processing is performed to obtain an equipment loss index; Compare the equipment loss index with a preset equipment loss threshold to obtain a comparison result; Acquire the regular maintenance cycle data of the equipment according to the comparison result; The calculation formula of the equipment loss index is: ; in, is the equipment loss index, , They are the cumulative running time data and the maximum continuous running time data. , They are error count growth rate data and alarm frequency data respectively. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset industrial communication monitoring platform).

[0052] It should be noted that it is necessary to specify a reasonable regular maintenance cycle for the target industrial communication, which can not only ensure system performance but also reduce maintenance costs. It can be judged based on the equipment's operating time and equipment failure conditions. Among them, the equipment operating time characteristic data includes cumulative operating time data and continuous operating time maximum value data. The cumulative operating time is the total operating time of the equipment since it was put into use. The equipment failure record data includes error count growth rate data and alarm frequency data. Industrial communication equipment will record various errors, such as port errors, protocol errors, etc. If the growth rate of the error count accelerates, for example, the daily port error count of the device increases from single digits to tens of digits, this indicates that the device may have potential problems. Then, based on the cumulative operating time data and the continuous operating time maximum value data, combined with the error count growth rate data and the alarm frequency data, the equipment loss index is obtained, and then compared with the preset value, and the corresponding maintenance cycle is formulated according to the comparison results.

[0053] A third aspect of the present invention provides a readable storage medium, which stores a high-reliability optimization method program for industrial-grade communications. When the high-reliability optimization method program for industrial-grade communications is executed by a processor, the steps of the high-reliability optimization method for industrial-grade communications as described in any one of the above items are implemented.

[0054] The high reliability optimization method, system and medium of industrial-grade communication disclosed in the present invention monitor the equipment operation status information of the target industrial communication system, extract the equipment performance characteristic data, process to obtain the equipment performance rationality index, collect the monitoring information of the target industrial communication system, extract the link quality characteristic data and the network topology characteristic data, process to obtain the communication quality reliability index, monitor the data transmission status information of the target industrial communication system within a preset time period, extract the data transmission characteristic data, process to obtain the data transmission stability index, obtain the environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, process to obtain the site performance interference coefficient, process according to the equipment performance rationality index, the communication quality reliability index and the data transmission stability index, combined with the site performance interference coefficient, obtain the system performance comprehensive evaluation index, and take corresponding optimization measures for the target industrial communication system, thereby realizing the technology of high reliability optimization of industrial-grade communication.

[0055] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0056] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0057] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0058] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0059] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A high reliability optimization method for industrial-grade communication, characterized in that: The following steps are involved: Monitor the equipment operation status information of the target industrial communication system, extract equipment performance characteristic data, and process to obtain the equipment performance rationality index; Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index; Monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index; Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and process to obtain a workplace performance interference coefficient; According to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient, a comprehensive system performance evaluation index is obtained, and corresponding optimization measures are taken for the target industrial communication system.

2. The high reliability optimization method for industrial-grade communication according to claim 1, characterized in that: The monitoring target industrial communication system equipment operation status information, extracting equipment performance characteristic data, and processing to obtain equipment performance rationality index include: Monitor the equipment operation status information of the target industrial communication system and extract equipment performance characteristic data, including equipment processing capacity characteristic data and port performance characteristic data; The device processing capability characteristic data includes CPU usage data and memory occupancy data; The port performance characteristic data includes port bandwidth utilization data and port error count data; The CPU usage data and the memory occupancy data are processed in combination with the port bandwidth utilization data and the port error count data to obtain a device performance rationality index.

3. The high reliability optimization method for industrial-grade communication according to claim 2, characterized in that: The collecting of monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index includes: Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data; The link quality characteristic data includes signal strength data and link noise data; The network topology feature data includes network node connection number data and network path length data; The signal strength data and the link noise data are processed in combination with the network node connection number data and the network path length data to obtain a communication quality reliability index.

4. The high reliability optimization method for industrial-grade communication according to claim 3, characterized in that: The monitoring of the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index includes: Monitoring the data transmission status information of the target industrial communication system within a preset time period, and extracting data transmission feature data; The data transmission characteristic data includes maximum transmission delay data, data packet loss rate data and data flow characteristic data; Extract and process the data flow characteristic data to obtain flow peak data and flow average data; The data transmission stability index is obtained by processing the maximum transmission delay data, the data packet loss rate data, the traffic peak data and the traffic average value data.

5. The high reliability optimization method for industrial-grade communication according to claim 4, characterized in that: The step of obtaining environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and processing to obtain the workplace performance interference coefficient includes: Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located; The environmental characteristic data includes electromagnetic interference intensity data, electromagnetic interference frequency data, humidity data and dust concentration data; The signal attenuation characteristic data includes signal transmission distance data and path loss data; The electromagnetic interference intensity data, the electromagnetic interference frequency data, the humidity data and the dust concentration data are processed in combination with the signal transmission distance data and the path loss data to obtain a venue performance interference coefficient.

6. The high reliability optimization method for industrial-grade communication according to claim 5, characterized in that: The device performance rationality index, the communication quality reliability index and the data transmission stability index are processed in combination with the site performance interference coefficient to obtain a comprehensive system performance evaluation index, and corresponding optimization measures are taken for the target industrial communication system, including: According to the equipment performance rationality index, the communication quality reliability index and the data transmission stability index, the site performance interference coefficient is processed through a preset communication performance evaluation model to obtain a system performance comprehensive evaluation index; Comparing the system performance comprehensive evaluation index with a preset system performance comprehensive evaluation threshold to obtain a threshold comparison result; Obtaining a performance reliability level of the target industrial communication system according to the threshold comparison result; Take corresponding optimization measures according to the performance reliability level.

7. A high reliability optimization system for industrial-grade communications, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a high reliability optimization method for industrial-grade communication, and when the program of the high reliability optimization method for industrial-grade communication is executed by the processor, the following steps are implemented: Monitor the equipment operation status information of the target industrial communication system, extract equipment performance characteristic data, and process to obtain the equipment performance rationality index; Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index; Monitoring the data transmission status information of the target industrial communication system within a preset time period, extracting data transmission feature data, and processing to obtain a data transmission stability index; Acquire environmental characteristic data and signal attenuation characteristic data of the workplace where the target industrial communication system is located, and process to obtain a workplace performance interference coefficient; According to the equipment performance rationality index, communication quality reliability index and data transmission stability index, combined with the site performance interference coefficient, a comprehensive system performance evaluation index is obtained, and corresponding optimization measures are taken for the target industrial communication system.

8. The high reliability optimization system for industrial-grade communication according to claim 7, characterized in that: The monitoring target industrial communication system equipment operation status information, extracting equipment performance characteristic data, and processing to obtain equipment performance rationality index include: Monitor the equipment operation status information of the target industrial communication system and extract equipment performance characteristic data, including equipment processing capacity characteristic data and port performance characteristic data; The device processing capability characteristic data includes CPU usage data and memory occupancy data; The port performance characteristic data includes port bandwidth utilization data and port error count data; The CPU usage data and the memory occupancy data are processed in combination with the port bandwidth utilization data and the port error count data to obtain a device performance rationality index.

9. The high reliability optimization system for industrial-grade communication according to claim 8, characterized in that: The collecting of monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data, and processing to obtain a communication quality reliability index includes: Collecting monitoring information of the target industrial communication system, extracting link quality feature data and network topology feature data; The link quality characteristic data includes signal strength data and link noise data; The network topology feature data includes network node connection number data and network path length data; The signal strength data and the link noise data are processed in combination with the network node connection number data and the network path length data to obtain a communication quality reliability index.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a high reliability optimization method program for industrial-grade communication. When the high reliability optimization method program for industrial-grade communication is executed by a processor, the steps of the high reliability optimization method for industrial-grade communication as described in any one of claims 1 to 6 are implemented.

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