Digital information acquisition method, system and device for cloud computing and medium

Abstract

The invention discloses a digital information acquisition method, system and device for cloud computing and a medium, and belongs to the technical field of digital information, the digital information acquisition method comprises a cloud computing layer and a local layer, and the local layer comprises a data transmission module, a plurality of information acquisition modules, a local computing module and a shunting module; each information acquisition module is used for acquiring a group of digital information; the shunting module comprises a judgment unit and a setting unit, the setting unit is used for presetting importance levels and classification judgment conditions of each group of digital information, and based on different importance levels of the digital information, the local layer divides the digital information into two digital information types of cloud platform calculation and local calculation in the initial stage. According to the method, the shunting module, the judgment unit and the data transmission module of the local layer are arranged, the multi-dimensional classification judgment condition is combined, whether local calculation data are abnormal or not is automatically recognized, and after abnormal data are detected, local calculation is dynamically switched to cloud platform calculation.

Description

Technical Field

[0001] The present invention relates to the field of digital information technology, and in particular to a digital information collection method, system, device and medium for cloud computing. Background Art

[0002] In current application scenarios such as industrial monitoring, smart cities, and environmental perception, it is usually necessary to continuously collect a large amount of digital information through distributed devices, and upload the collected data in real time or periodically to the cloud computing platform for processing and analysis.

[0003] After searching, a Chinese patent (publication number: CN109597838A) discloses an information collection system and method based on cloud computing and data mining. The patent includes: power module, scanning module, fault detection module, central control module, network communication module, data mining module, resource scheduling module, clock module, alarm module, printing module, data storage module, and display module. After the identification data with cohesive characteristics is determined by the data mining module to form an in-cohesion collection, the identification data with deep correlation in the same in-cohesion collection is discovered in parallel between the in-cohesion collections.

[0004] Most existing digital information collection systems use fixed logic to upload different types of data directly to the cloud platform or distribute them to local processing. However, when bandwidth resources are limited, network fluctuations are frequent, or data characteristics change dramatically, it is often difficult to quickly identify abnormal data and rationally allocate resources, affecting the stability and intelligence level of the overall system.

[0005] Especially when facing the concurrent transmission of multi-source heterogeneous digital information, existing solutions rarely introduce a comprehensive dynamic judgment mechanism for factors such as data quality, degree of deviation, and task priority. Therefore, in scenarios where abnormal data bursts, bandwidth competition is fierce, or local computing power is limited, it is difficult to ensure the timeliness and accuracy of key data transmission, and it is also impossible to flexibly optimize resource utilization efficiency. Summary of the invention

[0006] The purpose of the present invention is to provide a cloud computing digital information collection method, system, device and medium to solve the problems mentioned in the above background technology.

[0007] The present invention can be implemented by the following technical solutions: a cloud computing digital information acquisition system includes a cloud computing layer and a local layer; The local layer includes a data transmission module, multiple information collection modules, a local calculation module, and a traffic diversion module; Each information collection module is used to collect a set of digital information; The traffic diversion module includes a judgment unit and a setting unit, the setting unit is used to preset the importance level and classification judgment conditions of each group of digital information, the classification judgment conditions include the transmission quantity threshold, transmission fluctuation threshold, limit threshold and interval threshold of each group of digital information; The data transmission module presets a corresponding range of transmission bandwidth for each digital information based on the importance level of different digital information; By setting the importance level of each group of digital information, the local layer directly divides each digital information into two types of digital information: cloud platform computing and local computing based on different computing requirements in the initial stage; The digital information calculated by the cloud platform is collected by the corresponding information collection module, judged by the judgment unit, and after meeting the preset importance level, it is uploaded to the cloud computing layer through the data transmission module; After the local computing digital information is collected by the corresponding information collection module, it is judged by the judgment unit that it meets the preset importance level and classification judgment conditions, and then it is transmitted to the local computing module, where local calculation is first performed, and then the calculation results are combined with the collected digital information and uploaded to the cloud computing layer through the data transmission module; When the local computing digital information is judged by the judgment unit to not meet the classification judgment conditions (i.e., the transmission quantity of the digital information is too large or too small compared to the transmission quantity threshold, the transmission fluctuation is greater than the transmission fluctuation threshold, the value of the digital information is too large or too small compared to the limit threshold, or the transmission interval is greater than the interval threshold), the judgment unit marks the local computing digital information as abnormal information, and uploads it to the cloud computing layer through the data transmission module, converting the local computing to the cloud platform computing; And the judgment unit is determined by the formula Calculate the degree of deviation between abnormal information and its classification judgment conditions , and according to the degree of deviation Calculate and generate the abnormality level corresponding to the digital information; In the formula, , , and are the weight coefficients of the corresponding items, and + + + =1; is the degree of deviation between the transmission quantity in the abnormal information and the transmission quantity threshold; is the degree of deviation between the transmission fluctuation in the abnormal information and the transmission fluctuation threshold; It is the degree of deviation between the value in the abnormal information and the limit threshold (such as upper limit and lower limit); is the degree of deviation between the transmission interval in the abnormal information and the interval threshold; The traffic diversion module dynamically adjusts the transmission bandwidth of the remaining digital information based on the abnormal level of the abnormal information.

[0008] A further technical improvement of the present invention is that: an abnormality level-bandwidth requirement mapping table is provided in the data transmission module, which is used to store the bandwidth requirements corresponding to each abnormality level.

[0009] A further technical improvement of the present invention is that when the data transmission module allocates transmission bandwidth to each digital information, a schedulable part of bandwidth is reserved for it for dynamic bandwidth allocation; When allocating transmission bandwidth, the data transmission module first calculates whether the bandwidth of the concession part in each digital information meets the bandwidth requirement corresponding to the abnormal information.

[0010] A further technical improvement of the present invention is that when the bandwidth of the concession part in each digital information meets the bandwidth requirement corresponding to the abnormal information, the corresponding concession part of the bandwidth is called in sequence from low to high according to the importance level of each digital information until the bandwidth requirement of the abnormal information is met.

[0011] A further technical improvement of the present invention is that when the concessional bandwidth in each digital information does not meet the bandwidth demand corresponding to the abnormal information, the data transmission module converts the locally calculated digital information into periodic transmission, and during the time period when the locally calculated digital information is not in the transmission cycle, it concessions the bandwidth of the corresponding time period and gives priority to the bandwidth demand of the abnormal information. At the same time, the data transmission module adjusts the remaining bandwidth demand to the concessional bandwidth of the corresponding importance level from low to high according to the importance of the cloud computing digital information.

[0012] A further technical improvement of the present invention is that when the bandwidth of the transferred portion of the cloud computing digital information does not meet the remaining bandwidth demand of the abnormal information, the corresponding transmission bandwidth is released from low to high according to the importance level of the cloud computing digital information to supplement the bandwidth demand of the abnormal information; Furthermore, when the cloud computing digital information releases the bandwidth, the bandwidth used by the cloud computing digital information itself is not lower than the minimum value of the preset range.

[0013] A further technical improvement of the present invention is that when the local computing digital information enters its transmission time period, the data transmission module preferentially calls the bandwidth required by the local computing digital information from the bandwidth of the cloud computing digital information. Similarly, when the cloud computing digital information releases the bandwidth, it needs to keep the bandwidth it uses at no less than a preset minimum value.

[0014] A further technical improvement of the present invention is that after each cloud computing digital information releases its bandwidth to a preset minimum value, the released bandwidth is allocated in order from high to low according to the importance level of the local computing digital information, and when allocated, the minimum value of the preset bandwidth range of the local computing digital information is met; If the allocated bandwidth of the local computing digital information with a lower importance level cannot meet the minimum value of its preset range, the local computing digital information will not be executed in the current cycle and will be postponed to the next scheduling cycle.

[0015] A further technical improvement of the present invention is that the local layer increases the temporary importance level of the locally calculated digital information according to the number of delayed retrieval cycles, and temporarily adjusts it to cloud computing digital information through a set level threshold.

[0016] The present invention also discloses a method for collecting digital information of cloud computing, which comprises the following steps: S1, the diversion module divides the digital information into cloud platform computing and local computing based on the importance level and computing requirements of the digital information; S2, digital information calculated by the cloud platform, after being collected by the information collection module, is judged by the judgment unit to meet the importance level and uploaded to the cloud computing layer by the data transmission module; The local calculation digital information, if it satisfies both the importance level and the classification judgment conditions, is transmitted to the local calculation module for local calculation; The obtained calculation results together with the original digital information are uploaded to the cloud platform through the data transmission module; If the digital information of the local computing type does not meet the classification judgment conditions, it is marked as abnormal information and uploaded to the cloud computing layer through the data transmission module; S3, the judgment unit calculates the abnormality level based on the deviation between the actual value of the abnormal information and the judgment condition, and the diversion module determines the bandwidth requirement required for the current abnormal information based on the abnormality level and the preset "abnormality level-bandwidth requirement mapping table"; S4, the data transmission module checks whether the bandwidth of all digital information that is released meets the bandwidth requirement. If it does, the corresponding bandwidth of all digital information that is released is called in order from low to high importance level to allocate bandwidth. S5. If the transferred bandwidth is still insufficient, the data transmission module converts part of the local computing digital information into a periodic transmission task, and releases the transmission bandwidth of the corresponding time period in the non-transmission period to give priority to replenishing the bandwidth of abnormal information; The remaining bandwidth demand is determined by the importance of the cloud computing digital information, from low to high. S6. If the bandwidth of the cloud computing task still cannot meet the bandwidth demand of the abnormal information, the current transmission bandwidth is dynamically compressed to the minimum value of the preset transmission bandwidth according to the importance level from low to high. Release bandwidth while ensuring that it is not lower than the minimum value to compensate for the bandwidth used for abnormal information.

[0017] At the same time, the present invention also discloses a digital information acquisition medium for cloud computing, which is used to carry the local layer data transmission module, multiple information acquisition modules, local computing module and diversion module in the above-mentioned digital information acquisition system for cloud computing.

[0018] On the other hand, the present invention further discloses a digital information device for cloud computing, which is used to carry the above-mentioned digital information acquisition medium for cloud computing and work through the above-mentioned digital information acquisition method.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes automatic identification of whether local computing data is abnormal by setting up a local layer diversion module, a judgment unit and a data transmission module, combined with multi-dimensional classification judgment conditions, and dynamically switches local computing to cloud platform computing after detecting abnormal data, thereby ensuring the timeliness and accuracy of abnormal information processing.

[0020] Furthermore, the present invention constructs an exception level-bandwidth requirement mapping relationship. After identifying the abnormal information, it can dynamically allocate limited bandwidth resources in the system based on its abnormal level, and give priority to ensuring the bandwidth occupancy requirements of high-level abnormal information, thereby realizing a more reasonable and intelligent resource scheduling strategy in scenarios with limited network resources or dense abnormal information.

[0021] In addition, the present invention also realizes the coordinated handover, postponement and migration mechanism between local and cloud data tasks through the integration of bandwidth reservation mechanism, task handover mechanism and bandwidth lower limit protection mechanism, enhances the system's scheduling ability for multi-task concurrency and dynamic emergencies, and improves the overall data processing flexibility and resource utilization efficiency while ensuring the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0023] Figure 1 is a system block diagram of the digital information acquisition system in the present invention; Figure 2 It is a mind map of the digital information acquisition system in the present invention. DETAILED DESCRIPTION

[0024] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0025] See also Figure 1-2 As shown, the digital information acquisition system of cloud computing includes a cloud computing layer and a local layer; The local layer includes a data transmission module, multiple information collection modules, a local calculation module, and a traffic diversion module; Each information collection module is used to collect a set of digital information; The traffic diversion module includes a judgment unit and a setting unit, the setting unit is used to preset the importance level and classification judgment conditions of each group of digital information, the classification judgment conditions include the transmission quantity threshold, transmission fluctuation threshold, limit threshold and interval threshold of each group of digital information; The data transmission module presets a corresponding range of transmission bandwidth for each digital information based on the importance level of different digital information; By setting the importance level of each group of digital information, the local layer directly divides each digital information into two types of digital information: cloud platform computing and local computing based on different computing requirements in the initial stage; The digital information calculated by the cloud platform is collected by the corresponding information collection module, judged by the judgment unit, and after meeting the preset importance level, it is uploaded to the cloud computing layer through the data transmission module; After the local computing digital information is collected by the corresponding information collection module, it is judged by the judgment unit that it meets the preset importance level and classification judgment conditions, and then it is transmitted to the local computing module, where local calculation is first performed, and then the calculation results are combined with the collected digital information and uploaded to the cloud computing layer through the data transmission module; When the local computing digital information is judged by the judgment unit to not meet the classification judgment conditions (i.e., the transmission quantity of the digital information is too large or too small compared to the transmission quantity threshold, the transmission fluctuation is greater than the transmission fluctuation threshold, the value of the digital information is too large or too small compared to the limit threshold, or the transmission interval is greater than the interval threshold), the judgment unit marks the local computing digital information as abnormal information, and uploads it to the cloud computing layer through the data transmission module, converting the local computing to the cloud platform computing; And the judgment unit is determined by the formula Calculate the degree of deviation between abnormal information and its classification judgment conditions , and according to the degree of deviation Calculate and generate the abnormality level corresponding to the digital information; In the formula, , , and are the weight coefficients of the corresponding items, and + + + =1; is the degree of deviation between the transmission quantity in the abnormal information and the transmission quantity threshold, and , The number of abnormal information actually transmitted per unit time; is a preset transmission quantity threshold; is the degree of deviation between the transmission fluctuation in the abnormal information and the transmission fluctuation threshold, and , The actual transmission fluctuations for abnormal information; is the preset transmission fluctuation threshold; is the degree of deviation between the value in the abnormal information and the limit threshold (such as upper and lower limits), and ;in, , The upper and lower limits of the preset limit threshold; is the actual value of the abnormal information; is the degree of deviation between the transmission interval in the abnormal information and the interval threshold, and ;in, is the preset interval threshold; is the transmission interval, i.e. the actual collection interval time; The traffic diversion module dynamically adjusts the transmission bandwidth of the remaining digital information based on the abnormal level of the abnormal information.

[0026] The data transmission module is provided with an abnormality level-bandwidth requirement mapping table for storing bandwidth requirements corresponding to each abnormality level; The mapping table is constructed with preset rules, such as mapping anomalies equal to corresponding bandwidth requirements through linear, step or nonlinear relationships; When a certain digital information is determined as abnormal information by the determination unit, the traffic distribution module obtains the bandwidth requirement corresponding to the abnormal information through the mapping table.

[0027] When the data transmission module allocates transmission bandwidth to each digital information, it reserves a schedulable part of the bandwidth for dynamic bandwidth allocation; When allocating transmission bandwidth, the data transmission module first calculates whether the bandwidth of the concession part in each digital information meets the bandwidth requirement corresponding to the abnormal information.

[0028] When the concession part bandwidth in each digital information meets the bandwidth requirement corresponding to the abnormal information, the corresponding concession part bandwidth is called in sequence from low to high according to the importance level of each digital information until the bandwidth requirement of the abnormal information is met.

[0029] When the surrendered bandwidth in each digital information does not meet the bandwidth requirement corresponding to the abnormal information, the data transmission module converts the local computing digital information into periodic transmission, and gives up the bandwidth of the corresponding time period when the local computing digital information is not in the transmission cycle, and gives priority to the bandwidth requirement of the abnormal information. At the same time, the data transmission module adjusts the remaining bandwidth requirement to the surrendered bandwidth of the corresponding importance level from low to high according to the importance of the cloud computing digital information.

[0030] When the bandwidth of the transferred part of the cloud computing digital information cannot meet the remaining bandwidth demand of the abnormal information, the corresponding transmission bandwidth is released from low to high according to the importance level of the cloud computing digital information to supplement the bandwidth demand of the abnormal information; Furthermore, when the cloud computing digital information releases the bandwidth, the bandwidth used by the cloud computing digital information itself is not lower than the minimum value of the preset range.

[0031] When local computing digital information enters its transmission time period, the data transmission module will give priority to retrieving the bandwidth required for the local computing digital information from the bandwidth of the cloud computing digital information. Similarly, when the cloud computing digital information releases the bandwidth, it needs to keep the bandwidth it uses at no less than the preset minimum value.

[0032] After each cloud computing digital information releases its bandwidth to the preset minimum value, the released bandwidth is allocated in order from high to low according to the importance level of the local computing digital information, and when allocated, it meets the minimum value of the preset bandwidth range of the local computing digital information; If the allocated bandwidth of the local computing digital information with a lower importance level cannot meet the minimum value of its preset range, the local computing digital information will not be executed in the current cycle and will be postponed to the next scheduling cycle.

[0033] The data transmission module sets a postponement counter for each local calculation digital information , used to record the number of times the digital information is postponed to the next scheduling cycle; Each time the digital information is delayed due to insufficient bandwidth, the delay counter +1, that is , and combined with the boost factor , the importance level of this digital information Temporary importance level adjusted to floating point , the adjustment formula is ; By setting a temporary floating-point importance level, the original importance level is not affected when implementing scheduling sorting; The data transmission module will temporarily increase the importance level The temporary importance level of the digital information is compared with the preset level increase threshold. ≥After the level is raised to the threshold, the data transmission module regards it as cloud computing digital information and allocates bandwidth; When allocating bandwidth to it, it is based on its preset transmission bandwidth range; And, after completing the information migration of the digital information, the counter will be postponed. Reset to 0.

[0034] In this embodiment, the digital information collection medium of cloud computing is used to carry the local layer data transmission module, multiple information collection modules, local computing module and diversion module in the above-mentioned digital information collection system of cloud computing.

[0035] In this embodiment, the present invention further discloses a digital information collection device for cloud computing, and the digital information collection device is used to carry the above-mentioned digital information collection medium for cloud computing.

[0036] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A cloud computing digital information collection system, comprising a cloud computing layer and a local layer, characterized in that: The local layer includes a data transmission module, multiple information collection modules, a local calculation module, and a traffic diversion module; Each information collection module is used to collect a set of digital information; The traffic diversion module includes a judgment unit and a setting unit, wherein the setting unit is used to preset the importance level of each group of digital information and the corresponding classification judgment condition; And based on the different importance levels of digital information, the local layer divides the digital information into two types of digital information: cloud platform computing and local computing in the initial stage; The data transmission module presets a corresponding range of transmission bandwidth for each digital information based on the importance level of different digital information; After the digital information calculated by the cloud platform is collected and judged by the judgment unit to meet the preset importance level, it is uploaded to the cloud computing layer through the data transmission module; After the local computing digital information is collected, it is judged by the judgment unit that it meets the preset importance level and classification judgment conditions, and then it is transmitted to the local computing module for local calculation, and then combined with the calculation results, it is uploaded to the cloud computing layer through the data transmission module; When the local computing digital information is judged by the judgment unit and does not meet the classification judgment condition, the judgment unit marks the local computing digital information as abnormal information and uploads it to the cloud computing layer through the data transmission module; The judgment unit calculates the degree of deviation between the abnormal information and its classification judgment condition, and generates the abnormal level corresponding to the digital information according to the degree of deviation; The traffic diversion module dynamically adjusts the transmission bandwidth of the remaining digital information based on the abnormal level of the abnormal information to meet the bandwidth requirement of the abnormal information.

2. The digital information collection system for cloud computing according to claim 1, characterized in that: The classification judgment conditions include the comparison between the transmission quantity, transmission fluctuation, value size and interval of each group of digital information and its corresponding transmission quantity threshold, transmission fluctuation threshold, boundary threshold and interval threshold; Degree of deviation in calculation of judgment unit The formula used is: ； In the formula, , , and are the weight coefficients of the corresponding items, and + + + =1; is the degree of deviation between the transmission quantity in the abnormal information and the transmission quantity threshold; is the degree of deviation between the transmission fluctuation in the abnormal information and the transmission fluctuation threshold; It is the degree of deviation between the value in the abnormal information and the limit threshold; It is the degree of deviation between the transmission interval in the abnormal information and the interval threshold.

3. The digital information collection system for cloud computing according to claim 2, characterized in that: The data transmission module is provided with an abnormality level-bandwidth requirement mapping table constructed according to preset rules, which is used to store the bandwidth requirements corresponding to each abnormality level; When a certain digital information is determined as abnormal information by the determination unit, the traffic distribution module obtains the bandwidth requirement corresponding to the abnormal information through the mapping table.

4. The digital information collection system for cloud computing according to claim 3 is characterized in that: When the data transmission module allocates transmission bandwidth to each digital information, it reserves a schedulable part of the bandwidth for it; When allocating transmission bandwidth, the data transmission module first calculates whether the bandwidth of the concession part in each digital information meets the bandwidth requirement corresponding to the abnormal information.

5. The digital information collection system for cloud computing according to claim 4, characterized in that: When the relinquished bandwidth in each digital information meets the bandwidth requirement corresponding to the abnormal information, the relinquished bandwidth of the corresponding digital information is called in order from low to high according to the importance level of each digital information until the bandwidth requirement of the abnormal information is met.

6. The digital information collection system for cloud computing according to claim 5, characterized in that: When the bandwidth of the concession part in each digital information does not meet the bandwidth requirement corresponding to the abnormal information, the data transmission module converts the local calculation digital information into periodic transmission; During the time period when the local computing digital information is not in the transmission cycle, the bandwidth of the corresponding time period is released, and the bandwidth demand of abnormal information is replenished first. At the same time, the data transmission module adjusts the remaining bandwidth demand to the corresponding importance level from low to high according to the importance of the cloud computing digital information.

7. The digital information collection system for cloud computing according to claim 6, characterized in that: When the bandwidth of the transferred part of the cloud computing digital information cannot meet the remaining bandwidth demand of the abnormal information, the corresponding transmission bandwidth is released from low to high according to the importance level of the cloud computing digital information to supplement the bandwidth demand of the abnormal information; Furthermore, when the cloud computing digital information releases the bandwidth, the bandwidth used by the cloud computing digital information itself is not lower than the minimum value of the preset range.

8. The digital information collection system for cloud computing according to claim 7, characterized in that: When the local computing digital information enters its transmission time period, the data transmission module preferentially uses the bandwidth required by the local computing digital information from the bandwidth of the cloud computing digital information. Similarly, when the cloud computing digital information releases the bandwidth, it needs to keep the bandwidth it uses at no less than the preset minimum value. After each cloud computing digital information releases its bandwidth to the preset minimum value, the released bandwidth is allocated in order from high to low according to the importance level of the local computing digital information, and when allocated, it meets the minimum value of the preset bandwidth range of the local computing digital information; If the allocated bandwidth of the local computing digital information with a lower importance level cannot meet the minimum value of its preset range, the local computing digital information will not be executed in the current cycle and will be postponed to the next scheduling cycle.

9. A method for collecting digital information using cloud computing, characterized in that: The digital information collection method adopts the digital information collection system described in any one of rights 1 to 8, including: S1, the diversion module divides the digital information into cloud platform computing and local computing based on the importance level and computing requirements of the digital information; S2, digital information calculated by the cloud platform, after being collected by the information collection module, is judged by the judgment unit to meet the importance level and uploaded to the cloud computing layer by the data transmission module; The local calculation digital information, if it satisfies both the importance level and the classification judgment conditions, is transmitted to the local calculation module for local calculation; The obtained calculation results together with the original digital information are uploaded to the cloud platform through the data transmission module; If the digital information of the local computing type does not meet the classification judgment conditions, it is marked as abnormal information and uploaded to the cloud computing layer through the data transmission module; S3, the judgment unit calculates the abnormality level based on the deviation between the actual value of the abnormal information and the judgment condition, and the diversion module determines the bandwidth requirement required for the current abnormal information based on the abnormality level and the preset "abnormality level-bandwidth requirement mapping table"; S4, the data transmission module checks whether the bandwidth of the released part of all digital information meets the bandwidth requirement. If it does, the corresponding released part of the bandwidth is called in order from low to high according to the importance level of each digital information to allocate the bandwidth; S5. If the transferred bandwidth is still insufficient, the data transmission module converts part of the local computing digital information into a periodic transmission task, and releases the transmission bandwidth of the corresponding time period in its non-transmission period to give priority to replenishing the bandwidth of abnormal information; The remaining bandwidth demand is to call the part of the bandwidth resources that are released in order of importance of the cloud computing digital information from low to high; S6. If the bandwidth of the cloud computing task still cannot meet the bandwidth demand of the abnormal information, the current transmission bandwidth is dynamically compressed to the minimum value of the preset transmission bandwidth according to the importance level from low to high. Release bandwidth while ensuring that it is not lower than the minimum value to compensate for the bandwidth used for abnormal information.

10. A digital information collection medium for cloud computing, characterized in that: The digital information collection medium is used to carry the data transmission module, multiple information collection modules, local calculation module and diversion module of any digital information collection system in rights 1-8.

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