CN117614867A - Data processing methods, devices, equipment, storage media and program products - Google Patents

Abstract

This application relates to a data processing method, device, equipment, storage medium and program product. The method includes: under different test stress conditions, using a preset data detection method to detect the target data before data transmission, during data transmission and after data transmission, to obtain multiple data detection results; in the data If the detection results do not meet the preset performance indicators, the preset processing method will be used. Using this method can improve data transmission integrity.

Description

Data processing methods, devices, equipment, storage media and program products

Technical field

This application relates to the field of data processing technology, and in particular to a data processing method, device, equipment, storage medium and program product.

Background technique

With the rapid development of modern technology, data transmission technology has become an indispensable part of people's daily life and work. Whether through email, social media, video calls, etc., or in actual application scenarios such as the Internet of Things, smart manufacturing, and autonomous driving, data transmission technology plays an important role.

During the data transmission process, errors may occur in the transmitted data due to reasons such as network packet loss, data corruption, and data tampering, thus affecting the integrity of the data.

Contents of the invention

Based on this, it is necessary to provide a data processing method, device, equipment, storage medium and program product that can improve the integrity of data transmission in response to the above technical problems.

In the first aspect, this application provides a data processing method, including:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In one embodiment, the above-mentioned preset data detection method is used to detect the target data before data transmission, during data transmission, and after data transmission, and multiple data detection results are obtained, including:

Use the timestamp comparison algorithm to detect the integrity of the target data before and after data transmission, and obtain the first data detection result;

Real-time monitoring of the performance indicators of the target data during the data transmission process and obtaining the second data detection results;

The hash function is used to detect the integrity of the target data before and after data transmission, and the third data detection result is obtained.

In one embodiment, the above-mentioned timestamp comparison algorithm is used to verify the integrity of the target data before and after data transmission, and the first data verification result is obtained, which includes:

Before data transmission, a timestamp is generated using a timestamp comparison algorithm;

Associate timestamps with target data;

After the data is transmitted, the received data and the target data are compared using a timestamp comparison algorithm to obtain the first data verification result.

In one embodiment, the performance indicators of the target data during the data transmission process are monitored in real time to obtain the second data detection result, including:

Determine the performance indicators that need to be monitored; performance indicators include at least one of transmission speed, delay, and packet loss rate;

During the data transmission process, performance indicators are monitored in real time and the second data verification result is obtained.

In one embodiment, the hash function is used to verify the integrity of the target data before and after data transmission, and a third data verification result is obtained, including:

Calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together;

After data transmission, calculate the second hash value of the data received by the receiving end;

Compare the first hash value and the second hash value to obtain the third data verification result.

In one embodiment, when the data detection results do not meet the preset performance indicators, the preset processing method is used for processing, including:

If the first data verification result and the third data verification result do not meet the preset performance indicators, retransmit the target data;

When the second data verification result does not meet the preset performance indicators, a fault recovery strategy is used to automatically switch to the backup transmission path.

In a second aspect, this application also provides a data processing device, which is characterized in that the device includes:

The verification module is used to detect the target data before, during and after data transmission using preset data detection methods under different test stress conditions to obtain multiple data detection results;

The processing module is used to use the preset processing method for processing when the data detection results do not meet the preset performance indicators.

In a third aspect, this application also provides a computer device, including a memory and a processor. The memory stores a computer program. When the processor executes the computer program, it implements the following steps:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In a fourth aspect, this application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In a fifth aspect, this application also provides a computer program product, including a computer program that implements the following steps when executed by a processor:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

The above data processing methods, devices, equipment, storage media and program products use preset data detection methods to detect target data before data transmission, during data transmission and after data transmission under different test stress conditions, and obtain Multiple data detection results; when the data detection results do not meet the preset performance indicators, the preset processing method is used for processing; in this method, the target data is comprehensively detected by using the preset data detection method, covering the data Multiple critical stages before transmission, during data transmission and after data transmission can ensure that the target data can maintain high quality and reliability under various stress conditions. In addition, preset processing methods are used to ensure timely and effective response to potential problems. This process is closely integrated with different stages of data detection to ensure stability and reliability throughout the entire data transmission process.

Description of drawings

In order to more clearly explain the technical solutions in the embodiments of the present application or related technologies, the drawings needed to be used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings in the following description are only for the purpose of describing the embodiments or related technologies. For some embodiments of the application, those of ordinary skill in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is an internal structural diagram of a computer device in one embodiment;

Figure 2 is a schematic flow chart of a data processing method in one embodiment;

Figure 3 is a schematic flow chart of a data processing method in another embodiment;

Figure 4 is a schematic flow chart of a data processing method in another embodiment;

Figure 5 is a schematic flow chart of a data processing method in another embodiment;

Figure 6 is a schematic flow chart of a data processing method in another embodiment;

Figure 7 is a structural block diagram of a data processing device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in Figure 1 . The computer device includes a processor, a memory, an input/output interface (Input/Output, referred to as I/O), and a communication interface. Among them, the processor, memory and input/output interface are connected through the system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage medium stores operating systems, computer programs and databases. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media. The computer device's database is used to store data during data processing. The input/output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. The computer program, when executed by the processor, implements a data processing method.

In an exemplary embodiment, as shown in Figure 2, a data processing method is provided. This method is explained by taking the method applied to the computer device in Figure 1 as an example, including the following S202 to S204. in:

S202, under different test stress conditions, use a preset data detection method to detect the target data before data transmission, during data transmission, and after data transmission, and obtain multiple data detection results.

Among them, test stress refers to a controlled pressure or condition imposed on a system, equipment or process to test its performance, stability and reliability. This stress can help evaluate how the system will perform in real-world operations by simulating the challenges a system faces under specific workloads or environmental conditions. The introduction of experimental stress can help identify potential problems, bottlenecks or performance bottlenecks so that the system can be improved.

The following are some common test stresses: (1) Increase in network traffic: by increasing the number of simulated users, data volume, or request frequency to test the system's data transmission speed and bandwidth utilization under high load. (2) System load changes: By simulating a large number of tasks or requests in a short period of time, the system's processing capabilities and response time under high load are tested. (3) Ambient temperature fluctuation: By changing the ambient temperature, the performance and stability of the equipment under different temperature conditions are tested to test its adaptability to temperature changes. (4) Power fluctuation: Test the performance of equipment or systems under unstable power supply conditions by simulating voltage fluctuations or power interruptions. (5) Software load testing: Evaluate the performance, stability and security of software under high load conditions by simulating parallel access by large-scale users or complex operations. (6) Mechanical stress test: Test the durability and strength of materials or components under various conditions by applying different physical forces or vibrations.

In the embodiment of this application, in the face of different test stresses, first, in the pre-detection stage before data transmission, strict inspection is performed on the target data to ensure its integrity and accuracy. This can include careful review of data formats, missing values, and outliers to ensure that the data meets the expected input conditions.

Next, during the data transmission process, a real-time detection mechanism is introduced to monitor the stability and consistency of the data. By dynamically detecting data changes, loss, or damage, potential problems can be discovered and corrected in a timely manner, ensuring the reliability of data during transmission. This can involve using techniques such as redundancy checking, error correcting codes, etc.

In the subsequent detection phase after the data transmission is completed, the target data is detected again to confirm its completeness and accuracy. This includes verification of data consistency, handling of duplicates and remediation where necessary to ensure that no irreversible loss or tampering occurred during transmission.

S204: When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In the embodiment of the present application, in the stage before detecting data transmission, if the data fails to meet the preset performance indicators, corresponding preset processing measures will be initiated. This can include adjustments to data formatting, filling of missing values, or repair of outliers to ensure the data is up to the required standard before entering the transfer process.

If real-time detection reveals a problem during data transfer, immediate action can be taken based on preset processing methods. Optional processing measures include the application of error correction codes, triggering of instant retransmission mechanisms, or other technical means to maintain the integrity and consistency of data during transmission.

After the data transmission is completed, if the detection results do not meet the performance indicators, corresponding follow-up processing measures can be implemented. This can include further validation of the data, cleanup of redundant information, or repair. The purpose is to ensure that the transferred data meets expected quality standards.

In the above data processing method, under different test stress conditions, a preset data detection method is used to detect the target data before data transmission, during data transmission and after data transmission, and multiple data detection results are obtained; then in the data If the detection results do not meet the preset performance indicators, the preset processing method is used for processing; in this method, the target data is comprehensively detected by using the preset data detection method, covering before data transmission, during data transmission and data transmission. Multiple critical stages after transmission ensure that target data maintains high quality and reliability under various stress conditions. In addition, preset processing methods are used to ensure timely and effective response to potential problems. This process is closely integrated with different stages of data detection to ensure stability and reliability throughout the entire data transmission process.

In an exemplary embodiment, as shown in Figure 3, S202 includes S302 to S306. in:

S302: Use a timestamp comparison algorithm to detect the integrity of the target data before and after data transmission, and obtain the first data detection result.

S304, monitor the performance indicators of the target data during the data transmission process in real time, and obtain the second data detection result.

S306: Use the hash function to detect the integrity of the target data before and after data transmission, and obtain the third data detection result.

In the embodiment of this application, a timestamp comparison algorithm is used to first detect the integrity of the target data before data transmission, and verify the time consistency of the data by comparing the timestamp information. This results in a first data check, ensuring the data is in the correct time state before transmission.

During the data transmission process, the second data detection result is obtained by monitoring the performance indicators of the target data in real time. This includes dynamic monitoring of real-time performance parameters such as data transmission speed and bandwidth utilization to ensure that data can meet preset performance standards during transmission.

The hash function is used to detect the integrity of the target data after data transmission, and the third data detection result is obtained. By comparing the hash value of the data, it can be verified whether any irreversible changes have occurred during the transmission process, ensuring that the original state of the data is maintained.

In the above embodiment, integrating these three data detection results can comprehensively evaluate the status of the target data at different stages. If the detection results at any stage do not meet the expected performance indicators, the data can be processed immediately using preset processing methods to ensure the quality and integrity of the data throughout the transmission process. This comprehensive detection and processing process is designed to improve the reliability and stability of data transmission, ensuring that target data maintains high quality under various stress conditions.

In an exemplary embodiment, as shown in Figure 4, S302 includes S402 to S406. in:

S402. Before data transmission, use a timestamp comparison algorithm to generate a timestamp.

S404, associate the timestamp with the target data.

S406. After the data is transmitted, use the timestamp comparison algorithm to compare the received data with the target data to obtain the first data verification result.

In this embodiment of the present application, before data transmission, a timestamp comparison algorithm is first used to generate a timestamp, which will be used as a reference identifier for data transmission. The resulting timestamps are then correlated with the target data to ensure that the temporal attributes of the data are accurately tracked during transfer.

Subsequently, once the data transfer is completed, the received data is compared with the associated target data using the same timestamp comparison algorithm in the post-data transfer phase. This comparison process involves the correspondence of timestamps to verify that the received data is consistent with the target data before transmission. In this way, the first data verification result can be obtained, thereby ensuring the integrity and timing consistency of the data after transmission.

In the above embodiment, through the introduction of timestamps, the transmission of data can be effectively linked before and after, and the verification of data can be achieved with the help of timestamp comparison algorithms. This helps ensure that data is not irreversibly changed during transmission, thereby maintaining data reliability and integrity.

In an exemplary embodiment, as shown in Figure 5, S304 includes S502 to S504. in:

S502: Determine the performance indicators that need to be monitored; the performance indicators include at least one of transmission speed, delay and packet loss rate.

S504: During the data transmission process, the performance indicators are monitored in real time and the second data verification result is obtained.

In the embodiment of the present application, during the data transmission process, the selected performance indicators can be monitored in real time to obtain the second data verification result. This includes:

(1) Transmission speed: Monitor the speed of data transmission in real time during the transmission process to ensure that data is transmitted at the desired rate. By comparing the actual transmission speed with the preset speed standard, the second data verification result of the transmission speed can be obtained.

(2) Delay: Monitor the delay of data transmission in real time, that is, the time interval between sending data and receiving data. By comparing the actual delay with the set delay target, the second data verification result of the delay can be obtained.

(3) Packet loss rate: Monitor data loss during data transmission and calculate the packet loss rate. By comparing the actual packet loss rate with the preset packet loss rate standard, the second data verification result of the packet loss rate can be obtained.

In the above embodiment, by obtaining the second data verification result, performance problems can be quickly discovered and responded to, thereby optimizing the efficiency and reliability of the data transmission process.

In an exemplary embodiment, as shown in Figure 6, S306 includes S602 to S606. in:

S602: Calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together.

S604: After data transmission, calculate the second hash value of the data received by the receiving end.

S606: Compare the first hash value and the second hash value to obtain the third data verification result.

In the embodiment of the present application, before data transmission, the target data is first processed, and a hash function is used to calculate the first hash value. The target data is transmitted to the receiving end together with the calculated first hash value to ensure the integrity of the data before transmission.

Subsequently, once the data transfer is completed, in the post-data transfer phase, the receiving end calculates a second hash value of the received data. This calculation covers the entirety of the received data.

Finally, compare the first hash value calculated before transmission and the second hash value calculated by the receiving end after transmission to obtain the third data verification result. This comparison process is designed to verify whether any irreversible changes have occurred in the data during transmission. Consistent hashes indicate that the data has not been corrupted or tampered with during transmission, ensuring data integrity.

In the above embodiment, by comparing the first and second hash values, it can be effectively verified whether any damage or tampering has occurred during the transmission of the data. Consistent hash values indicate that the data has not been irreversibly changed during transmission, ensuring data integrity. By comparing hash values, it can be detected whether the data has been tampered with during transmission. Any tampering with the data will result in inconsistency between the first and second hash values, thus providing a reliable detection mechanism for data tampering. Transmitting the first hash value together with the target data to the receiving end ensures the consistency of the data and hash value before transmission. The receiver can use this consistent hash value to verify that the received data matches the sender's data. By calculating the second hash value after data transmission, this process is real-time and can detect problems in the data transmission process in time, thereby reducing the scope of the problem and improving the real-time performance of the system. Through the comparison of hash values, it helps to improve the security of data transmission and reduce potential risks to the data during transmission.

In an exemplary embodiment, S204 includes S702 to S704. in:

S702: If the first data verification result and the third data verification result do not meet the preset performance indicators, retransmit the target data.

In the embodiment of the present application, when the first data verification result and the third data verification result do not meet the preset performance indicators, corresponding processing measures can be taken to retransmit the target data.

First, when the first data verification result does not meet the preset performance indicators, problems that may exist before or after data transmission are identified, and retransmission of the target data is immediately initiated. This can include recalculating hashes, correcting formatting errors, or applying other preset processing to ensure the data again meets expected performance standards.

At the same time, if the third data verification result does not meet the preset performance indicators, in this case, measures will be taken immediately to retransmit the target data to ensure that the data meets the preset performance standards after retransmission.

S704: When the second data verification result does not meet the preset performance index, use a fault recovery strategy to automatically switch to the backup transmission path.

In this embodiment of the present application, when the second data verification result does not meet the preset performance indicators, the fault recovery strategy can be started immediately and the backup transmission path can be automatically switched. This process is designed to ensure continuity and high availability during data transfer, even if performance issues arise.

First, once the second data verification result shows that the performance does not meet the preset standard, the server will identify that there is a problem with the current transmission path. The automatic switch to an alternate transmission path is to avoid continued transmission on the problem path that could result in further performance degradation or data loss.

When adopting a failover strategy, you need to ensure that alternative transmission paths have been set up and verified in advance. This can include activation of backup channels, adjustment of routing, or other technical means to ensure that data can be transmitted smoothly through backup paths.

In the above embodiment, when the data verification result does not meet the preset performance standards, the target data is immediately retransmitted or automatically switched to an alternate transmission path, which can achieve rapid response and recovery. This reduces the potential impact of performance issues on the system. By retransmitting the target data, the consistency and integrity of the data before and after transmission are ensured. At the same time, with the support of failure recovery strategies, automatic switching to alternate transmission paths helps maintain the continuity of data transmission and reduce possible errors or losses during data transmission. Integrating retransmission mechanisms and fault recovery strategies helps improve system continuity and availability. Even in the face of problems during data transmission, the system can still quickly repair itself and maintain smooth data transmission. Through timely retransmission and fault recovery, potential risks to data during transmission are reduced. This is particularly important for application scenarios with high requirements on data security and integrity. The use of automated retransmission and failure recovery strategies reduces the need for manual intervention and improves system autonomy and operational efficiency. Overall, this comprehensive processing strategy helps maintain the high quality and reliability of data transmission, ensuring that data can meet preset performance standards at all stages and improving robustness.

A detailed embodiment is given below to illustrate the process of the data processing method in the embodiment of the present application. Based on the above embodiment, the implementation process of the method may include the following content:

S1, under different test stress conditions, a timestamp comparison algorithm is used to generate timestamps before data transmission.

S2, associates the timestamp with the target data.

S3. After data transmission, use the timestamp comparison algorithm to compare the received data with the target data to obtain the first data verification result.

S4: Determine the performance indicators that need to be monitored; the performance indicators include at least one of transmission speed, delay and packet loss rate.

S5, during the data transmission process, the performance indicators are monitored in real time and the second data verification result is obtained.

S6: Calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together.

S7, after data transmission, calculate the second hash value of the data received by the receiving end.

S8: Compare the first hash value and the second hash value to obtain the third data verification result.

S9: If the first data verification result and the third data verification result do not meet the preset performance indicators, retransmit the target data.

S10: When the second data verification result does not meet the preset performance index, a fault recovery strategy is used to automatically switch to the backup transmission path.

It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated in this article, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but may be executed at different times. The execution order of these steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

Based on the same inventive concept, embodiments of the present application also provide a data processing device for implementing the above-mentioned data processing method. The problem-solving solution provided by this device is similar to the solution recorded in the above method. Therefore, for the specific limitations in one or more data processing device embodiments provided below, please refer to the above limitations on the data processing method. I won’t go into details here _.

In an exemplary embodiment, as shown in Figure 7, a data processing device is provided, including: a verification module 11 and a processing module 12, wherein:

The verification module 11 is used to detect target data using preset data detection methods before data transmission, during data transmission and after data transmission under different test stress conditions, and obtain multiple data detection results;

The processing module 12 is used to perform processing using a preset processing method when the data detection results do not meet the preset performance indicators.

In another embodiment, another data processing device is provided. Based on the above embodiment, the above verification module 11 may include:

The first detection unit is used to detect the integrity of the target data before and after data transmission using a timestamp comparison algorithm to obtain the first data detection result;

The second detection unit is used to monitor the performance indicators of the target data in the data transmission process in real time and obtain the second data detection result;

The third detection unit is used to detect the integrity of the target data before and after data transmission by using a hash function to obtain a third data detection result.

In another embodiment, another data processing device is provided. Based on the above embodiment, the above-mentioned first detection unit may include:

The generation subunit is used to generate timestamps using a timestamp comparison algorithm before data transmission;

Correlation subunit, used to associate timestamps with target data;

The first comparison subunit is used to compare the received data with the target data using a timestamp comparison algorithm after data transmission to obtain the first data verification result.

In another embodiment, another data processing device is provided. Based on the above embodiment, the above-mentioned second detection unit may include:

Determine the subunit, used to determine the performance indicators that need to be monitored; the performance indicators include at least one of transmission speed, delay and packet loss rate;

The monitoring subunit is used to monitor performance indicators in real time during the data transmission process and obtain the second data verification result.

In another embodiment, another data processing device is provided. Based on the above embodiment, the above third detection unit may include:

The transmission subunit is used to calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together;

The receiving subunit is used to calculate the second hash value of the data received by the receiving end after data transmission;

The second comparison subunit is used to compare the first hash value and the second hash value to obtain the third data verification result.

In another embodiment, another data processing device is provided. Based on the above embodiment, the above processing module 12 may include:

A retransmission unit, configured to retransmit the target data when the first data verification result and the third data verification result do not meet the preset performance indicators;

The switching unit is used to automatically switch to the backup transmission path using a fault recovery strategy when the second data verification result does not meet the preset performance index.

Each module in the above data processing device can be implemented in whole or in part by software, hardware and combinations thereof. Each of the above modules may be embedded in or independent of the processor of the computer device in the form of hardware, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

Those skilled in the art can understand that the structure shown in Figure 7 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Specific computer equipment can May include more or fewer parts than shown, or combine certain parts, or have a different arrangement of parts.

In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, it implements the following steps:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In one embodiment, the processor also implements the following steps when executing the computer program:

Use the timestamp comparison algorithm to detect the integrity of the target data before and after data transmission, and obtain the first data detection result;

Real-time monitoring of the performance indicators of the target data during the data transmission process and obtaining the second data detection results;

The hash function is used to detect the integrity of the target data before and after data transmission, and the third data detection result is obtained.

In one embodiment, the processor also implements the following steps when executing the computer program:

Before data transmission, a timestamp is generated using a timestamp comparison algorithm;

Associate timestamps with target data;

After the data is transmitted, the received data and the target data are compared using a timestamp comparison algorithm to obtain the first data verification result.

In one embodiment, the processor also implements the following steps when executing the computer program:

Determine the performance indicators that need to be monitored; performance indicators include at least one of transmission speed, delay, and packet loss rate;

During the data transmission process, performance indicators are monitored in real time and the second data verification result is obtained.

In one embodiment, the processor also implements the following steps when executing the computer program:

Calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together;

After data transmission, calculate the second hash value of the data received by the receiving end;

Compare the first hash value and the second hash value to obtain the third data verification result.

In one embodiment, the processor also implements the following steps when executing the computer program:

If the first data verification result and the third data verification result do not meet the preset performance indicators, retransmit the target data;

When the second data verification result does not meet the preset performance indicators, a fault recovery strategy is used to automatically switch to the backup transmission path.

In one embodiment, a computer-readable storage medium is provided with a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Use the timestamp comparison algorithm to detect the integrity of the target data before and after data transmission, and obtain the first data detection result;

Real-time monitoring of the performance indicators of the target data during the data transmission process and obtaining the second data detection results;

The hash function is used to detect the integrity of the target data before and after data transmission, and the third data detection result is obtained.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Before data transmission, a timestamp is generated using a timestamp comparison algorithm;

Associate timestamps with target data;

After the data is transmitted, the received data and the target data are compared using a timestamp comparison algorithm to obtain the first data verification result.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Determine the performance indicators that need to be monitored; performance indicators include at least one of transmission speed, delay, and packet loss rate;

During the data transmission process, performance indicators are monitored in real time and the second data verification result is obtained.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together;

After data transmission, calculate the second hash value of the data received by the receiving end;

Compare the first hash value and the second hash value to obtain the third data verification result.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

If the first data verification result and the third data verification result do not meet the preset performance indicators, retransmit the target data;

When the second data verification result does not meet the preset performance indicators, a fault recovery strategy is used to automatically switch to the backup transmission path.

In one embodiment, a computer program product is provided, comprising a computer program that when executed by a processor implements the following steps:

In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained;

When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Use the timestamp comparison algorithm to detect the integrity of the target data before and after data transmission, and obtain the first data detection result;

Real-time monitoring of the performance indicators of the target data during the data transmission process and obtaining the second data detection results;

The hash function is used to detect the integrity of the target data before and after data transmission, and the third data detection result is obtained.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Before data transmission, a timestamp is generated using a timestamp comparison algorithm;

Associate timestamps with target data;

After the data is transmitted, the received data and the target data are compared using a timestamp comparison algorithm to obtain the first data verification result.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Determine the performance indicators that need to be monitored; performance indicators include at least one of transmission speed, delay, and packet loss rate;

During the data transmission process, performance indicators are monitored in real time and the second data verification result is obtained.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Calculate the first hash value of the target data before data transmission; transmit the target data and the first hash value to the receiving end together;

After data transmission, calculate the second hash value of the data received by the receiving end;

Compare the first hash value and the second hash value to obtain the third data verification result.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

If the first data verification result and the third data verification result do not meet the preset performance indicators, retransmit the target data;

When the second data verification result does not meet the preset performance indicators, a fault recovery strategy is used to automatically switch to the backup transmission path.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage. In the media, when executed, the computer program may include the processes of the above method embodiments. Any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetic variable memory (Magnetoresistive Random) Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene memory, etc. Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM). The databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include blockchain-based distributed databases, etc., but are not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to this.

The technical features of the above embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, all possible combinations should be used. It is considered to be within the scope of this manual.

The above-described embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims (10)

1. A data processing method, characterized in that the method includes: In the case of different test stresses, the preset data detection method is used to detect the target data before, during and after data transmission, and multiple data detection results are obtained; When the data detection results do not meet the preset performance indicators, the preset processing method is used for processing. 2. The method according to claim 1, characterized in that the preset data detection method is used to detect the target data before data transmission, during data transmission and after data transmission, and multiple data detection results are obtained. include: Using a timestamp comparison algorithm to detect the integrity of the target data before and after the data transmission, and obtain a first data detection result; Monitor the performance indicators of the target data in the data transmission process in real time to obtain the second data detection result; A hash function is used to detect the integrity of the target data before and after the data transmission to obtain a third data detection result. 3. The method according to claim 2, wherein the timestamp comparison algorithm is used to verify the integrity of the target data before the data transmission and after the data transmission, and obtain the first 1. Data verification results, including: Before the data is transmitted, use the timestamp comparison algorithm to generate a timestamp; Associating the timestamp with the target data; After the data is transmitted, the time stamp comparison algorithm is used to compare the received data with the target data to obtain the first data verification result. 4. The method according to claim 2, characterized in that the real-time monitoring of the performance indicators of the target data during the data transmission process to obtain the second data detection result includes: Determine the performance indicators that need to be monitored; the performance indicators include at least one of transmission speed, delay and packet loss rate; During the data transmission process, the performance index is monitored in real time to obtain the second data verification result. 5. The method of claim 2, wherein the hash function is used to verify the integrity of the target data before and after the data transmission to obtain the third data. Verification results include: Calculate the first hash value of the target data before transmitting the data; transmit the target data and the first hash value to the receiving end together; After the data is transmitted, calculate a second hash value of the data received by the receiving end; Comparing the first hash value and the second hash value, the third data verification result is obtained. 6. The method according to any one of claims 2 to 5, characterized in that, when the data detection result does not meet the preset performance index, a preset processing method is used for processing, including: If the first data verification result and the third data verification result do not meet the preset performance index, retransmit the target data; When the second data verification result does not meet the preset performance index, a fault recovery strategy is used to automatically switch to the backup transmission path. 7. A data processing device, characterized in that the device includes: The verification module is used to detect the target data before, during and after data transmission using preset data detection methods under different test stress conditions to obtain multiple data detection results; A processing module, configured to use a preset processing method for processing when the data detection results do not meet the preset performance indicators. 8. A computer device, comprising a memory and a processor, the memory stores a computer program, wherein the method of any one of claims 1 to 6 is implemented when the processor executes the computer program. step. 9. A computer-readable storage medium with a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented. 10. A computer program product, comprising a computer program, characterized in that, when executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 6.