Remote intelligent operation and maintenance gateway management method and system based on cloud computing

Abstract

The invention discloses a gateway management method and system for remote intelligent operation and maintenance based on cloud computing, and relates to the technical field of gateway management. The method comprises the following steps: acquiring use positions of all distributed gateways to form a gateway layout map; environment, network signal and operation area division is carried out, and corresponding areas are obtained respectively; respectively evaluating gateway fault probabilities of the corresponding areas and obtaining corresponding fault probabilities; forming a gateway layout grid chart according to the division lines of all the areas, and obtaining a gateway fault probability in combination with a corresponding fault probability; matching a data transmission standard of the gateway in the grid area, and transmitting the gateway data to a cloud platform; the cloud platform divides the gateway data into a plurality of tasks for processing according to the association degree and the importance degree of the gateway data to obtain a cloud computing result; and confirming a data processing sequence of the cloud platform to all the distributed gateways. According to the invention, the gateway management efficiency of remote intelligent operation and maintenance based on cloud computing is improved.

Description

Technical Field

[0001] The present application relates to the technical field of gateway management, and in particular to a gateway management method and system for remote intelligent operation and maintenance based on cloud computing. Background Art

[0002] Gateways play an irreplaceable role in computer networks and communication systems. They provide strong guarantees for network connectivity, reliability, security and efficiency by implementing protocol conversion, data gateways, security protection, load balancing, application integration, and supporting mobility and remote access. Therefore, gateway management is crucial, but the current multi-gateway management still relies on the log information of independent gateways. How to better manage a larger number of gateways is still a technical problem that has not been well solved, resulting in poor gateway management results and insufficient efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide a gateway management method and system for remote intelligent operation and maintenance based on cloud computing to solve the problems raised in the above background technology.

[0004] In the first aspect, the present application provides a gateway management method for remote intelligent operation and maintenance based on cloud computing, which adopts the following technical solutions: Obtain the usage locations of all decentralized gateways and form a gateway layout map based on the usage locations; According to the gateway layout diagram, the environment area, network signal area and operation area are divided to obtain the environment area, signal area and operation area respectively; Evaluate the gateway failure probabilities in the environment area, signal area, and operation area respectively and obtain the corresponding environment failure probability, signal failure probability, and operation failure probability; According to the dividing lines of the environment area, signal area and operation area, a gateway layout grid diagram is formed. The failure probability of the gateway in the gateway layout grid diagram is obtained by combining the environment failure probability, signal failure probability and operation failure probability, and recorded as the gateway failure probability; Match the data transmission standard of the gateways in the grid area according to the probability of gateway failure, and transmit the gateway data to the cloud platform according to the transmission standard; The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain cloud computing results; According to the cloud computing results, the data processing order of the cloud platform for all distributed gateways is obtained.

[0005] Preferably, the steps of respectively evaluating the gateway failure probabilities of the environment area, the signal area, and the operation area and obtaining the corresponding environment failure probability, signal failure probability, and operation failure probability are specifically as follows: Obtain real-time environmental data of different environmental areas, obtain standard environmental data for gateway operation, and calculate the environmental difference between real-time environmental data and standard environmental data; According to the correlation curve between the preset environment difference and the gateway failure probability, the corresponding gateway failure probability is found and recorded as the environment failure probability; Acquire network data of different signal areas, wherein the network data includes a network signal strength value AQ, a network signal stability value AW, and a network user value AS; Extract meteorological data from real-time environmental data, and obtain the impact value AY of meteorological conditions on network signal strength based on the meteorological data; According to the network fault correlation function The network failure probability AG is calculated, where , , is the scale factor and is greater than 0; The probability of gateway failure is evaluated based on the operating conditions in the operating area and recorded as the operational failure probability.

[0006] Preferably, the step of forming a gateway layout grid diagram according to the dividing lines of the environment area, the signal area, and the operation area, combining the environment failure probability, the signal failure probability, and the operation failure probability to obtain the failure probability of the gateway in the gateway layout grid diagram, and recording it as the gateway failure probability, is specifically as follows: Form a gateway layout grid diagram based on the dividing lines of the environment area, signal area, and operation area; Obtain the environmental failure probability, signal failure probability and operation failure probability of the grid area, set the probability weight ratios of the environmental failure probability, signal failure probability and operation failure probability respectively, and calculate the grid failure probability of the grid area according to the environmental failure probability, signal failure probability and operation failure probability and the corresponding probability weight ratios; The corresponding grid area is found according to the usage locations of all decentralized gateways, and the corresponding grid failure probability is obtained as the gateway failure probability.

[0007] Preferably, the step of matching the data transmission standard of the gateways in the grid area according to the gateway failure probability and transmitting the gateway data to the cloud platform according to the transmission standard is specifically as follows: Set a gateway failure probability threshold, and select gateways whose gateway failure probability reaches the gateway failure probability threshold as candidate fault gateways; Set an environmental failure probability threshold. If the environmental failure probability of the candidate faulty gateway reaches the environmental failure probability threshold, the gateway data is transmitted to the cloud platform according to the original data transmission standard. Set a signal failure probability threshold. If the signal failure probability of the candidate faulty gateway reaches the signal failure probability threshold, obtain the signal transmission standard and transmit the gateway data to the cloud platform. Set an operation failure probability threshold. If the signal failure probability of the candidate faulty gateway reaches the operation failure probability threshold, obtain the operation transmission standard and transmit the gateway data to the cloud platform. According to all the failure probabilities of the gateway, the number of transmission standards of the gateway is counted. If the number of transmission standards is 0, the gateway data is transmitted to the cloud platform according to the original data transmission standard; If the number of transmission standards is 1, the gateway data is transmitted to the cloud platform according to the corresponding transmission standard; If the number of transmission standards is greater than 1, the probability ratio of the failure probability corresponding to the transmission standard is obtained, the transmission proportion of the transmission standard is allocated according to the probability ratio, and the gateway data is transmitted to the cloud platform according to the transmission proportion and the corresponding transmission standard.

[0008] Preferably, the step of setting a signal failure probability threshold, and obtaining a signal transmission standard and transmitting gateway data to the cloud platform if the signal failure probability of the selected faulty gateway reaches the signal failure probability threshold, is specifically as follows: If the signal failure probability of the candidate faulty gateway reaches the signal failure probability threshold, then the threshold difference of the signal failure probability exceeding the failure probability threshold is calculated; According to the preset threshold difference and the correlation curve of the transmission interval time, the corresponding transmission interval time is found and used as the transmission interval time of the gateway data; According to the preset threshold difference and the correlation curve of the transmission data volume, the corresponding transmission data volume is found as the transmission data volume of the gateway data; Combining the transmission interval time and the amount of transmitted data, a signal transmission standard is formed and the gateway data is transmitted to the cloud platform.

[0009] Preferably, the step of setting the operation failure probability threshold, and obtaining the operation transmission standard and transmitting the gateway data to the cloud platform if the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, is specifically as follows: If the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, the manual operation time and automatic operation time of the gateway are obtained; Set the most recent time duration, and search for the data of the gateway running tasks that are consistent within the manual operation time and the automatic operation time from the most recent time duration, and obtain the manual operation data and the automatic operation data; Combine and transmit the manual operation data and automatic operation data consistent with the gateway operation tasks to the cloud platform; If there is no manual operation data and automatic operation data consistent with the gateway running task in the recent time period, the manual operation data under different running tasks will be merged and transmitted to the cloud platform.

[0010] Preferably, the cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data, and the step of obtaining the cloud computing result is specifically: After receiving the gateway data, the cloud platform performs preliminary processing on the gateway data and then preliminarily divides the gateway data according to the grid area; The gateway data of the same type in the same area is obtained and recorded as type data, and the value information density of different data in the same type of data is obtained; Set the value information density level, classify the same type of data into data of multiple value information density levels and record them as level data; Obtain the timeliness of different data in the same-level data, classify the same-level data into multiple data with different timeliness according to the timeliness and record them as timeliness data; Treat simultaneous data as independent processing tasks and form multiple processing tasks for processing; Confirm whether the gateway fails based on the gateway data and obtain cloud computing results.

[0011] Preferably, the step of obtaining the data processing order of the cloud platform for all distributed gateways according to the cloud computing results is specifically: Extract the gateway confirmed to be faulty in the cloud computing results as the faulty gateway, extract the grid area where the faulty gateway is located and record it as the faulty grid area, and take the gateway in the faulty grid area as the first-tier gateway; The fault type is obtained according to the transmission standard of the faulty gateway, and all gateways in the corresponding area are obtained according to the fault type, and all gateways in the corresponding area except the grid area are taken as the second-tier gateways; The remaining areas are regarded as the third-tier gateways, and the gateway data of each tier is processed in order from small to large; For gateway data in the same echelon, the gateway data is processed in order from high to low according to the predicted failure rate of the gateway.

[0012] Preferably, for the gateway data of the same echelon, the step of processing the gateway data in order from high to low according to the predicted failure rate of the gateway is specifically: Get the gateways in the same echelon that are connected to the faulty gateway and record them as associated gateways; Obtain the running task volume of the associated gateway, and obtain the actual task volume BR of the associated gateway according to the task allocation after the faulty gateway fails; Obtain a gateway connection diagram between the faulty gateway and associated gateways, and determine the degree of influence BC of the node of the faulty gateway on other associated gateways according to the gateway connection diagram; Get the connection distance BL between the faulty gateway and the associated gateway, and use the predicted association function The predicted failure rate of the gateway is calculated as BY, where , , is the scale factor and is greater than 0; Establish a prediction model based on the prediction association function to obtain the predicted failure rate of the associated gateway, and process the gateway data in order from high to low according to the predicted failure rate; The gateway data of the non-associated gateway is processed after the gateway data of the associated gateway is processed.

[0013] In the second aspect, the present application provides a gateway management system for remote intelligent operation and maintenance based on cloud computing, which adopts the following technical solutions: A gateway management system for remote intelligent operation and maintenance based on cloud computing, comprising: The gateway layout module obtains the usage locations of all decentralized gateways and forms a gateway layout diagram based on the usage locations; The area division module divides the environment area, network signal area and operation area according to the gateway layout diagram, and obtains the environment area, signal area and operation area respectively; The regional probability module evaluates the gateway failure probability in the environmental area, signal area, and operation area respectively and obtains the corresponding environmental failure probability, signal failure probability, and operation failure probability; The gateway probability module forms a gateway layout grid map according to the dividing lines of the environment area, signal area and operation area. The failure probability of the gateway in the gateway layout grid map is obtained by combining the environment failure probability, signal failure probability and operation failure probability, and is recorded as the gateway failure probability. The data transmission module matches the data transmission standard of the gateways in the grid area according to the probability of gateway failure, and transmits the gateway data to the cloud platform according to the transmission standard; Data computing module: The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain cloud computing results; The processing sequence module obtains the data processing sequence of the cloud platform for all distributed gateways based on the cloud computing results.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: 1. Divide the area according to the environment, network signal and operation conditions, and obtain the corresponding failure probability. Form a new grid area according to the dividing lines of the divided area, and calculate the gateway failure probability of the grid area according to the weight ratio corresponding to different failure probabilities, so as to match the data transmission standards of different gateways, and transmit the data to the cloud platform for calculation and processing, which reduces the transmission of unnecessary data, transmits important data in time, and improves the efficiency of gateway management based on cloud computing remote intelligent operation and maintenance.

[0015] 2. Match different transmission standards for situations exceeding different failure probabilities, transmit valid data to the cloud platform in a timely manner, reduce the transmission of unnecessary data, thereby reducing the computing burden of the cloud platform, and can complete computing tasks more quickly and efficiently, reduce the output of invalid data processing results, and improve the effectiveness of gateway management for remote intelligent operation and maintenance based on cloud computing.

[0016] 3. Arrange the gateways in a preliminary order according to the fault area and fault type of the faulty gateway, and predict the failure rate of the gateway based on the actual task volume, the impact of the faulty gateway's node on other associated gateways, and the connection distance between the faulty gateway and the associated gateways. Then sort the gateway data and process the gateway data in order. And according to the relevance, value information density and timeliness of the gateway data, the task is divided to complete the calculation results more quickly, which improves the intelligence of gateway management based on cloud computing remote intelligent operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of specific steps of an embodiment of a gateway management method for remote intelligent operation and maintenance based on cloud computing of the present invention.

[0018] Figure 2 It is a module connection diagram of an embodiment of a gateway management system for remote intelligent operation and maintenance based on cloud computing of the present invention. DETAILED DESCRIPTION

[0019] Below is a combination of the embodiments and Figure 1-Figure 2 The present invention is further described in detail, but the embodiments of the present invention are not limited thereto.

[0020] The present invention discloses a gateway management method for remote intelligent operation and maintenance based on cloud computing, which specifically comprises the following steps: Step S1, obtaining the usage locations of all decentralized gateways, and forming a gateway layout diagram according to the usage locations.

[0021] Step S2, according to the gateway layout diagram, divide the environment area, network signal area and operation area into different areas, and obtain the environment area, signal area and operation area respectively.

[0022] Step S3, respectively evaluate the gateway failure probabilities of the environment area, signal area and operation area and obtain the corresponding environment failure probability, signal failure probability and operation failure probability.

[0023] Step S4, forming a gateway layout grid diagram according to the dividing lines of the environment area, signal area and operation area, combining the environment failure probability, signal failure probability and operation failure probability to obtain the failure probability of the gateway in the gateway layout grid diagram, and recording it as the gateway failure probability.

[0024] Step S5, matching the data transmission standard of the gateways in the grid area according to the gateway failure probability, and transmitting the gateway data to the cloud platform according to the transmission standard.

[0025] Step S6: The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain cloud computing results.

[0026] Step S7, based on the cloud computing results, obtain the data processing order of the cloud platform for all distributed gateways.

[0027] In actual use, remote operation and maintenance management of gateways can reduce the impact on users due to gateway failures. Through the cloud platform, decentralized gateways can be managed more efficiently and the operation and maintenance costs can be reduced. Through regional division, gateways in the same area can be managed uniformly, and gateway data transmission and cloud computing resource distribution in the cloud platform can be set more reasonably. More efficient, fast and accurate completion of gateway remote operation and maintenance management, timely detection of gateway failures, and reduction of the impact of gateway failures on user use. For example, cloud computing needs to confirm whether the gateway is faulty through the calculation and analysis of the gateway's work log, and the gateway will generate a large number of work logs during operation, and a large number of gateways will generate more work logs. Analyzing and detecting all work logs will slow down the detection speed on the one hand, and increase the workload of the cloud platform on the other hand, resulting in a waste of resources. Therefore, matching different data transmission standards in different situations can efficiently detect gateway failures and detect gateway failures more quickly.

[0028] The steps of evaluating the gateway failure probabilities in the environment area, signal area, and operation area respectively and obtaining the corresponding environment failure probability, signal failure probability, and operation failure probability are specifically as follows: Step S31, obtaining real-time environmental data of different environmental areas, obtaining standard environmental data for gateway operation, and calculating the environmental difference between the real-time environmental data and the standard environmental data.

[0029] Step S32: Find the corresponding gateway failure probability according to the preset correlation curve between the environmental difference and the gateway failure probability and record it as the environmental failure probability.

[0030] Step S33, obtaining network data of different signal areas, the network data including a network signal strength value AQ, a network signal stability value AW and a network user value AS.

[0031] Step S34, extracting meteorological data from the real-time environmental data, and obtaining the impact value AY of the meteorological effect on the network signal strength according to the meteorological data.

[0032] Step S35: according to the network fault correlation function The network failure probability AG is calculated, where , , is the scaling factor and is greater than 0.

[0033] Step S36, evaluating the probability of gateway failure according to the operation conditions of the operation area and recording it as the operation failure probability.

[0034] The operations of different personnel will result in different probabilities of gateway failure. The operator controls the gateways in a certain area, and the probability of gateway failure is obtained based on the operator's operation error rate and operation experience.

[0035] In actual use, gateways in the same area face the same environmental conditions. Therefore, dividing the area and analyzing the environment, signals and operation conditions of different areas can reduce the tediousness of analyzing each gateway separately, and obtain the actual operating environment of multiple gateways more quickly, so as to judge the failure probability of the gateway. In the environmental data, there are multiple natural factors such as temperature, humidity, weather, and electromagnetic interference. The gateway working in a good natural environment will greatly reduce the failure probability. Similarly, working in a harsh environment will greatly increase the failure probability. The strength of the network signal directly affects the communication quality between the gateway and the terminal device. If the signal strength is insufficient or unstable, it may cause data packet loss, increased delay or communication interruption, thereby affecting the reliability and efficiency of network communication and causing data loss failure of the gateway. Weather conditions (such as thunderstorms, heavy rain, etc.) will also affect the strength of the network signal. The transmission rate and bandwidth limit of the gateway will also affect the performance of the gateway's network communication. If the transmission rate of the gateway is too low or the bandwidth is insufficient, it will cause data transmission congestion or packet loss, thereby reducing the efficiency and stability of network communication. In a large-scale network environment, network congestion is a common problem, which can also cause gateway failures such as data loss.

[0036] According to the dividing lines of the environment area, signal area and operation area, a gateway layout grid diagram is formed. The failure probability of the gateway in the gateway layout grid diagram is obtained by combining the environment failure probability, signal failure probability and operation failure probability, and recorded as the gateway failure probability. The steps are as follows: Step S41, forming a gateway layout grid diagram according to the dividing lines of the environment area, the signal area and the operation area.

[0037] Step S42, obtaining the environmental failure probability, signal failure probability and operation failure probability of the grid area, setting the probability weight ratios of the environmental failure probability, signal failure probability and operation failure probability respectively, and calculating the grid failure probability of the grid area according to the environmental failure probability, signal failure probability and operation failure probability and the corresponding probability weight ratios.

[0038] Step S43, searching for corresponding grid areas according to the use locations of all decentralized gateways, and obtaining corresponding grid failure probabilities as gateway failure probabilities.

[0039] In actual use, by overlapping the environment area, signal area, and operation area, multiple grid areas can be obtained. Each grid area has three failure probabilities. The three failure probabilities are calculated according to the corresponding weight ratio to obtain the gateway failure probability of the area. For example, the environment in area A is not very good, the network signal is poor, and the operator error rate is high, while the environment in area B is good, the network signal is good, and the operator error rate is low. Therefore, the probability of gateway failure in area A is higher than that in area B. The gateway failure probabilities in different grid areas can be used to uniformly manage gateways in the same area.

[0040] According to the gateway failure probability, the data transmission standard of the gateway in the grid area is matched, and the steps of transmitting the gateway data to the cloud platform according to the transmission standard are as follows: Step S51, setting a gateway failure probability threshold, and screening gateways whose gateway failure probability reaches the gateway failure probability threshold as candidate faulty gateways.

[0041] Step S52, setting an environmental failure probability threshold, if the environmental failure probability of the selected faulty gateway reaches the environmental failure probability threshold, the gateway data is transmitted to the cloud platform according to the original data transmission standard.

[0042] When the environment is not good, the work log is transmitted according to the originally set data transmission volume and transmission frequency.

[0043] Step S53, setting a signal failure probability threshold. If the signal failure probability of the selected faulty gateway reaches the signal failure probability threshold, the signal transmission standard is obtained and the gateway data is transmitted to the cloud platform.

[0044] Step S54, setting an operation failure probability threshold, if the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, then obtaining the operation transmission standard and transmitting the gateway data to the cloud platform.

[0045] Step S55, counting the number of transmission standards of the gateway according to all failure probabilities of the gateway, if the number of transmission standards is 0, the gateway data is transmitted to the cloud platform according to the original data transmission standard.

[0046] Step S56, if the number of transmission standards is 1, the gateway data is transmitted to the cloud platform according to the corresponding transmission standard.

[0047] Step S57, if the number of transmission standards is greater than 1, obtain the probability ratio of the failure probability corresponding to the transmission standard, allocate the transmission proportion of the transmission standard according to the probability ratio, and transmit the gateway data to the cloud platform according to the transmission proportion and the corresponding transmission standard.

[0048] In actual use, the gateway needs to transmit the work log to the cloud platform to realize remote monitoring of the gateway. However, due to the large number of gateways and the continuous operation of the gateway, a large number of work logs need to be uploaded to the cloud platform. Therefore, matching different transmission standards in different situations can effectively reduce unnecessary data processing, reduce the computing burden of the cloud platform, and reduce the workload of the gateway to transmit work logs. If the failure probability in the area where the gateway is located does not reach the threshold, it is not necessary to transmit the work log in real time, reducing the frequency of transmitting the work log. When the failure probability in the area where the gateway is located reaches the threshold, it is necessary to pay more attention to the gateway in the area, so that it can be discovered as soon as the gateway fails. Different transmission standards are matched in different situations. If there are multiple transmission standards, they can be implemented at the same time. If they cannot be implemented at the same time, they are transmitted according to the proportion. For example, the corresponding failure probability ratio of the three transmission standards A, B, and C is 1:2:3. After transmitting once according to the A standard, it is transmitted twice according to the B standard, and then transmitted three times according to the C standard. According to the above rules, data is transmitted in sequence.

[0049] Set a signal failure probability threshold. If the signal failure probability of the selected faulty gateway reaches the signal failure probability threshold, the steps of obtaining the signal transmission standard and transmitting the gateway data to the cloud platform are as follows: Step S531: If the signal failure probability of the selected faulty gateway reaches the signal failure probability threshold, a threshold difference value by which the signal failure probability exceeds the failure probability threshold is calculated.

[0050] Step S532: According to the preset threshold difference and the correlation curve of the transmission interval, the corresponding transmission interval is searched and obtained as the transmission interval of the gateway data.

[0051] Step S533: searching for the corresponding transmission data volume according to the preset threshold difference and the correlation curve of the transmission data volume as the transmission data volume of the gateway data.

[0052] A negative correlation curve between the threshold difference and the transmission interval is pre-set. The larger the threshold difference, the shorter the transmission interval. A positive correlation curve between the threshold difference and the amount of data transmitted is also pre-set. The larger the threshold difference, the larger the amount of data transmitted.

[0053] Step S534, combining the transmission interval time and the amount of transmitted data, forming a signal transmission standard and transmitting the gateway data to the cloud platform.

[0054] In actual use, when the network signal is not good, data loss and data errors are likely to occur. At this time, the gateway needs to transmit more work logs, because cloud computing also needs to process and filter the work logs to remove erroneous data. Therefore, it is necessary to increase the amount of work log data and shorten the transmission time interval to transmit more data to the cloud platform.

[0055] Set the operation failure probability threshold. If the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, the operation transmission standard is obtained and the steps of transmitting the gateway data to the cloud platform are as follows: Step S541: If the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, the manual operation time and automatic operation time of the gateway are obtained.

[0056] Step S542, setting the most recent time duration, searching for data consistent with the gateway running tasks within the manual operation time and the automatic operation time from the most recent time duration, and obtaining the manual operation data and the automatic operation data.

[0057] Step S543, the manual operation data and automatic operation data consistent with the gateway operation task are combined and transmitted to the cloud platform.

[0058] Step S544: If there is no manual operation data and automatic operation data consistent with the gateway operation task in the recent time duration, the manual operation data under different operation tasks are merged and transmitted to the cloud platform.

[0059] In actual use, when a gateway failure occurs due to manual operation, it is necessary to compare the manual operation with the automatic operation to confirm whether the gateway failure is caused by a manual failure. Therefore, when transmitting data, it is necessary to package and send the manual operation and automatic operation under the same task, which is conducive to the cloud platform to more quickly identify whether the gateway is faulty. If there is no manual operation data and automatic operation data with the same running task within a period of time, the manual operation data under different running tasks are selected for transmission. For example, when a manual operation has a configuration error, then under the same running task and the same configuration, the same error is continuously output, and it is difficult to determine whether the gateway failure is caused by a manual operation error. Therefore, it is meaningless to transmit the same data to the cloud platform.

[0060] The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data. The steps to obtain cloud computing results are as follows: Step S61, after receiving the gateway data, the cloud platform performs preliminary processing on the gateway data and then performs preliminary division of the gateway data according to the grid area.

[0061] Step S62, obtaining gateway data of the same type in the same area and recording it as type data, and obtaining the value information density of different data in the same type data.

[0062] Step S63, setting the value information density level, classifying the same type of data into data of multiple value information density levels and recording them as level data.

[0063] Step S64, obtaining the timeliness of different data in the same gear data, classifying the same gear data into a plurality of data with different timeliness according to the timeliness and recording them as timeliness data.

[0064] Step S65, treating the simultaneous effective data as independent processing tasks to form multiple processing tasks for processing.

[0065] Step S66, confirm whether the gateway fails according to the gateway data, and obtain the cloud computing result.

[0066] In actual application, cloud computing is a kind of distributed computing. It solves task distribution and merges calculation results. It can complete the processing of tens of thousands of data in a very short time (a few seconds). Therefore, the data uploaded to the cloud platform will be divided into multiple small tasks for calculation and analysis, which can improve the efficiency and speed of cloud computing. The data with high correlation is divided into the same task for processing, which is conducive to speeding up the analysis and processing of the cloud platform. The gateway data in the same area has the same operating environment, so the correlation is high. It can be compared to determine whether the gateway is faulty. The data with the same value information density has the same security factor for data processing and similar encryption and decryption methods. The data with the same validity is not only closely related, but also takes a similar time to process, requiring faster analysis. Therefore, dividing the data with high correlation and similar processing methods into an independent processing task can obtain cloud computing results more quickly, safely and efficiently.

[0067] According to the cloud computing results, the steps of the cloud platform's data processing sequence for all distributed gateways are obtained, specifically: Step S71, extracting the gateway confirmed to have failed in the cloud computing results as the failed gateway, extracting the grid area where the failed gateway is located and recording it as the failed grid area, and taking the gateway in the failed grid area as the first-tier gateway.

[0068] Step S72, obtaining the fault type according to the transmission standard of the faulty gateway, obtaining all gateways in the corresponding area according to the fault type, and taking all gateways in the corresponding area except the grid area as the second-tier gateways.

[0069] Step S73, taking the remaining areas as the third echelon gateways, and processing the gateway data of each echelon in order from small to large.

[0070] Step S74: for gateway data in the same echelon, the gateway data are processed in order from high to low according to the predicted failure rate of the gateway.

[0071] In actual use, there are many gateways, and there are many working logs of gateways. The order of data processing is also very important. Putting important data in the back for processing can easily lead to late fault discovery. Therefore, setting the order of data processing of distributed gateways according to actual conditions is conducive to reducing the situation where gateway faults cannot be discovered in time. For gateways that have been confirmed to have failed, the possibility of failure of gateways in the same area is also high because of the same operating environment. At the same time, if the faulty gateway fails due to the environment, the possibility of failure of gateways in the same environment will also be greater. For example, the environment in grid area A is poor, the network signal is good, and the operator error rate is high. There is a gateway failure in grid area A. The gateways in area A except the faulty gateway are the first-tier gateways. The faulty gateway fails due to the poor environment. Grid area A belongs to area B. The environment in area B is the same. Therefore, except for the gateway in grid area A, the remaining gateways in area B are second-tier gateways. Gateways outside area B are third-tier gateways.

[0072] For gateway data in the same echelon, the steps for processing gateway data from high to low are as follows: Step S741, obtaining the gateways in the same echelon that are connected to the faulty gateway and recording them as associated gateways.

[0073] Step S742, obtaining the running task volume of the associated gateway, and obtaining the actual task volume BR of the associated gateway according to the task allocation after the faulty gateway fails.

[0074] Step S743: obtaining a gateway connection diagram between the faulty gateway and associated gateways, and determining the degree of influence BC of the node of the faulty gateway on other associated gateways according to the gateway connection diagram.

[0075] Step S744, obtaining the connection distance BL between the faulty gateway and the associated gateway, and The predicted failure rate of the gateway is calculated as BY, where , , is the scaling factor and is greater than 0.

[0076] Step S745, establishing a prediction model according to the prediction association function, obtaining the predicted failure rate of the associated gateway, and processing the gateway data in order from high to low according to the predicted failure rate.

[0077] Step S746: The gateway data of the non-associated gateway is processed after the gateway data of the associated gateway is processed.

[0078] In actual use, different network architectures (such as star, ring, mesh, etc.) have different effects on fault propagation. For example, in a star network, the failure of the central gateway will seriously affect the communication of the entire network because all branches rely on the central gateway for communication. The physical connection method and logical connection method of the network will also affect the propagation of faults. For example, if the connection between the faulty gateway and other gateways is redundant, the impact of the fault may be relatively small because the traffic can be automatically redirected to other paths. In terms of physical connection, longer distances will cause signal attenuation and increased delay. In terms of logical connection, more distant gateways may rely on fewer redundant paths for communication, so they are more susceptible to failure when a fault occurs. When a gateway fails, the faulty gateway will distribute its own task volume to other gateways. Other gateways will take on tasks other than their own tasks, which will increase the load and make it easy to fail.

[0079] A gateway management system for remote intelligent operation and maintenance based on cloud computing, by applying the above-mentioned gateway management method for remote intelligent operation and maintenance based on cloud computing, comprises: The gateway layout module obtains the usage locations of all decentralized gateways and forms a gateway layout diagram based on the usage locations.

[0080] The area division module divides the environment area, network signal area and operation area according to the gateway layout diagram, and obtains the environment area, signal area and operation area respectively.

[0081] The regional probability module evaluates the gateway failure probability of the environmental area, signal area and operation area respectively and obtains the corresponding environmental failure probability, signal failure probability and operation failure probability.

[0082] The gateway probability module forms a gateway layout grid map according to the dividing lines of the environmental area, signal area and operation area. The failure probability of the gateway in the gateway layout grid map is obtained by combining the environmental failure probability, signal failure probability and operation failure probability, and is recorded as the gateway failure probability.

[0083] The data transmission module matches the data transmission standard of the gateways in the grid area according to the gateway failure probability, and transmits the gateway data to the cloud platform according to the transmission standard.

[0084] In the data computing module, the cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain cloud computing results.

[0085] The processing sequence module obtains the data processing sequence of the cloud platform for all distributed gateways based on the cloud computing results.

[0086] In actual use, through the connection between modules, the transmission standard of the gateway is set to reduce the transmission of unnecessary data. At the same time, the cloud platform divides the computing tasks according to the actual situation and matches the appropriate data processing sequence, which is more convenient and fast, thereby improving the gateway management efficiency and speed of the cloud platform.

[0087] The implementation principle of this system is as follows: the gateway layout module obtains the use locations of all decentralized gateways and forms a gateway layout map according to the use locations. The regional division module divides the environment area, network signal area and operation area according to the gateway layout map, and obtains the environment area, signal area and operation area respectively. The regional probability module evaluates the gateway failure probability of the environment area, signal area and operation area respectively and obtains the corresponding environment failure probability, signal failure probability and operation failure probability. Among them, the signal failure probability is obtained based on the network signal strength value, network signal stability value, network user value and meteorological data. The calculation formula only reflects the correlation between the data and does not bring in the unit calculation. The gateway probability module forms a gateway layout grid map according to the division lines of the environment area, signal area and operation area, and combines the environment failure probability, signal failure probability and operation failure probability with the corresponding weight ratio to obtain the failure probability of the gateway in the gateway layout grid map, and records it as the gateway failure probability. The data transmission module sets the situation of exceeding different failure probability thresholds according to the gateway failure probability, matches the data transmission standard of the gateway in the grid area, and transmits the gateway data to the cloud platform according to the transmission standard. The data calculation module cloud platform divides the gateway data into multiple tasks according to the relevance and importance of the gateway data for processing and obtains the cloud computing results. The processing sequence module obtains the data processing sequence of the cloud platform for all distributed gateways based on the cloud computing results.

[0088] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A gateway management method for remote intelligent operation and maintenance based on cloud computing, characterized in that: The following steps are involved: Obtain the usage locations of all decentralized gateways and form a gateway layout map based on the usage locations; According to the gateway layout diagram, the environment area, network signal area and operation area are divided to obtain the environment area, signal area and operation area respectively; Evaluate the gateway failure probabilities in the environment area, signal area, and operation area respectively and obtain the corresponding environment failure probability, signal failure probability, and operation failure probability; According to the dividing lines of the environment area, signal area and operation area, a gateway layout grid diagram is formed. The failure probability of the gateway in the gateway layout grid diagram is obtained by combining the environment failure probability, signal failure probability and operation failure probability, and recorded as the gateway failure probability; Match the data transmission standard of the gateways in the grid area according to the probability of gateway failure, and transmit the gateway data to the cloud platform according to the transmission standard; The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain cloud computing results; According to the cloud computing results, the data processing order of the cloud platform for all distributed gateways is obtained.

2. According to the gateway management method of remote intelligent operation and maintenance based on cloud computing in claim 1, it is characterized in that: The steps of respectively evaluating the gateway failure probabilities in the environment area, the signal area, and the operation area and obtaining the corresponding environment failure probability, signal failure probability, and operation failure probability are specifically as follows: Obtain real-time environmental data of different environmental areas, obtain standard environmental data for gateway operation, and calculate the environmental difference between real-time environmental data and standard environmental data; According to the correlation curve between the preset environment difference and the gateway failure probability, the corresponding gateway failure probability is found and recorded as the environment failure probability; Acquire network data of different signal areas, wherein the network data includes a network signal strength value AQ, a network signal stability value AW, and a network user value AS; Extract meteorological data from real-time environmental data, and obtain the impact value AY of meteorological conditions on network signal strength based on the meteorological data; According to the network fault correlation function The network failure probability AG is calculated, where , , is the scale factor and is greater than 0; The probability of gateway failure is evaluated based on the operating conditions in the operating area and recorded as the operational failure probability.

3. According to claim 2, a gateway management method for remote intelligent operation and maintenance based on cloud computing is characterized in that: The steps of forming a gateway layout grid diagram according to the dividing lines of the environment area, the signal area and the operation area, and obtaining the failure probability of the gateway in the gateway layout grid diagram by combining the environment failure probability, the signal failure probability and the operation failure probability, and recording it as the gateway failure probability, are specifically as follows: Form a gateway layout grid diagram based on the dividing lines of the environment area, signal area, and operation area; Obtain the environmental failure probability, signal failure probability and operation failure probability of the grid area, set the probability weight ratios of the environmental failure probability, signal failure probability and operation failure probability respectively, and calculate the grid failure probability of the grid area according to the environmental failure probability, signal failure probability and operation failure probability and the corresponding probability weight ratios; The corresponding grid area is found according to the usage locations of all decentralized gateways, and the corresponding grid failure probability is obtained as the gateway failure probability.

4. According to claim 3, a gateway management method for remote intelligent operation and maintenance based on cloud computing is characterized in that: The step of matching the data transmission standard of the gateway in the grid area according to the gateway failure probability and transmitting the gateway data to the cloud platform according to the transmission standard is specifically as follows: Set a gateway failure probability threshold, and select gateways whose gateway failure probability reaches the gateway failure probability threshold as candidate fault gateways; Set an environmental failure probability threshold. If the environmental failure probability of the candidate faulty gateway reaches the environmental failure probability threshold, the gateway data is transmitted to the cloud platform according to the original data transmission standard. Set a signal failure probability threshold. If the signal failure probability of the selected faulty gateway reaches the signal failure probability threshold, obtain the signal transmission standard and transmit the gateway data to the cloud platform. Set an operation failure probability threshold. If the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, obtain the operation transmission standard and transmit the gateway data to the cloud platform. According to all the failure probabilities of the gateway, the number of transmission standards of the gateway is counted. If the number of transmission standards is 0, the gateway data is transmitted to the cloud platform according to the original data transmission standard. If the number of transmission standards is 1, the gateway data is transmitted to the cloud platform according to the corresponding transmission standard; If the number of transmission standards is greater than 1, the probability ratio of the failure probability corresponding to the transmission standard is obtained, the transmission proportion of the transmission standard is allocated according to the probability ratio, and the gateway data is transmitted to the cloud platform according to the transmission proportion and the corresponding transmission standard.

5. According to claim 4, a gateway management method for remote intelligent operation and maintenance based on cloud computing is characterized in that: The signal failure probability threshold is set, and if the signal failure probability of the selected faulty gateway reaches the signal failure probability threshold, the signal transmission standard is obtained and the gateway data is transmitted to the cloud platform, specifically: If the signal failure probability of the candidate faulty gateway reaches the signal failure probability threshold, then the threshold difference of the signal failure probability exceeding the failure probability threshold is calculated; According to the preset threshold difference and the correlation curve of the transmission interval time, the corresponding transmission interval time is found and used as the transmission interval time of the gateway data; According to the preset threshold difference and the correlation curve of the transmission data volume, the corresponding transmission data volume is obtained as the transmission data volume of the gateway data; Combining the transmission interval time and the amount of transmitted data, a signal transmission standard is formed and the gateway data is transmitted to the cloud platform.

6. A gateway management method for remote intelligent operation and maintenance based on cloud computing according to claim 5, characterized in that: The step of setting the operation failure probability threshold, and obtaining the operation transmission standard and transmitting the gateway data to the cloud platform if the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, is specifically as follows: If the signal failure probability of the selected faulty gateway reaches the operation failure probability threshold, the manual operation time and automatic operation time of the gateway are obtained; Set the most recent time duration, and search for the data of the gateway running tasks that are consistent within the manual operation time and the automatic operation time from the most recent time duration, and obtain the manual operation data and the automatic operation data; Combine and transmit the manual operation data and automatic operation data consistent with the gateway operation tasks to the cloud platform; If there is no manual operation data and automatic operation data consistent with the gateway running task in the recent time period, the manual operation data under different running tasks will be merged and transmitted to the cloud platform.

7. A gateway management method for remote intelligent operation and maintenance based on cloud computing according to claim 6, characterized in that: The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain the cloud computing results, specifically: After receiving the gateway data, the cloud platform performs preliminary processing on the gateway data and then preliminarily divides the gateway data according to the grid area; The gateway data of the same type in the same area is obtained and recorded as type data, and the value information density of different data in the same type of data is obtained; Set the value information density level, classify the same type of data into data of multiple value information density levels and record them as level data; Obtain the timeliness of different data in the same-level data, classify the same-level data into multiple data with different timeliness according to the timeliness and record them as timeliness data; Treat simultaneous data as independent processing tasks and form multiple processing tasks for processing; Confirm whether the gateway fails based on the gateway data and obtain cloud computing results.

8. The gateway management method for remote intelligent operation and maintenance based on cloud computing according to claim 7 is characterized in that: The steps of obtaining the data processing order of the cloud platform for all distributed gateways according to the cloud computing results are specifically as follows: Extract the gateway confirmed to be faulty in the cloud computing results as the faulty gateway, extract the grid area where the faulty gateway is located and record it as the faulty grid area, and take the gateway in the faulty grid area as the first-tier gateway; The fault type is obtained according to the transmission standard of the faulty gateway, and all gateways in the corresponding area are obtained according to the fault type, and all gateways in the corresponding area except the grid area are taken as the second-tier gateways; The remaining areas are regarded as the third-tier gateways, and the gateway data of each tier is processed in order from small to large; For gateway data in the same echelon, the gateway data is processed in order from high to low according to the predicted failure rate of the gateway.

9. A gateway management method for remote intelligent operation and maintenance based on cloud computing according to claim 8, characterized in that: The steps of processing the gateway data in the same echelon from high to low according to the predicted failure rate of the gateway are specifically as follows: Get the gateways in the same echelon that are connected to the faulty gateway and record them as associated gateways; Obtain the running task volume of the associated gateway, and obtain the actual task volume BR of the associated gateway according to the task allocation after the faulty gateway fails; Obtain a gateway connection diagram between the faulty gateway and associated gateways, and determine the degree of influence BC of the node of the faulty gateway on other associated gateways according to the gateway connection diagram; Get the connection distance BL between the faulty gateway and the associated gateway, and use the predicted association function The predicted failure rate of the gateway is calculated as BY, where , , is the scale factor and is greater than 0; Establish a prediction model based on the prediction association function to obtain the predicted failure rate of the associated gateway, and process the gateway data in order from high to low according to the predicted failure rate; The gateway data of the non-associated gateway is processed after the gateway data of the associated gateway is processed.

10. A gateway management system for remote intelligent operation and maintenance based on cloud computing, characterized in that: By applying a gateway management method for remote intelligent operation and maintenance based on cloud computing as described in any one of claims 1 to 9, the method comprises: The gateway layout module obtains the usage locations of all decentralized gateways and forms a gateway layout diagram based on the usage locations; The area division module divides the environment area, network signal area and operation area according to the gateway layout diagram, and obtains the environment area, signal area and operation area respectively; The regional probability module evaluates the gateway failure probability in the environmental area, signal area, and operation area respectively and obtains the corresponding environmental failure probability, signal failure probability, and operation failure probability; The gateway probability module forms a gateway layout grid map according to the dividing lines of the environment area, signal area and operation area. The failure probability of the gateway in the gateway layout grid map is obtained by combining the environment failure probability, signal failure probability and operation failure probability, and is recorded as the gateway failure probability. The data transmission module matches the data transmission standard of the gateways in the grid area according to the probability of gateway failure, and transmits the gateway data to the cloud platform according to the transmission standard; Data computing module: The cloud platform divides the gateway data into multiple tasks for processing according to the relevance and importance of the gateway data to obtain cloud computing results; The processing sequence module obtains the data processing sequence of the cloud platform for all distributed gateways based on the cloud computing results.

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