Cloud-based integrated management method for autonomous and controllable devices

Abstract

The present invention relates to the field of cloud devices, and specifically to a cloud integrated management method for autonomous and controllable devices. Based on the resource demand characteristics of all autonomous and controllable devices, it is identified whether the autonomous and controllable devices can independently process tasks, accurately change the management authority of the cloud platform over the devices, and narrow the device control scope of the cloud platform in a targeted manner; based on the operating resource demand attribute information of the autonomous and controllable devices that cannot independently process tasks, the resource call status of the cloud platform is adjusted to meet the resource usage requirements of different devices; based on the data interaction characteristics between the autonomous and controllable devices and the outside world, it is determined whether there are data security risks, and the abnormal data transmission attribute information of the corresponding autonomous and controllable devices is obtained, so as to identify the data interval inside the device that may be illegally tampered with, facilitate accurate data transfer inside the device, improve the intrusion prevention and control efficiency and reliability of the cloud platform for the device, and ensure the management controllability of the cloud platform for the device.

Description

Technical Field

[0001] The present invention relates to the technical field of cloud devices, and in particular to a cloud integrated management method for autonomous and controllable devices. Background Art

[0002] The cloud platform has the characteristics of large data storage capacity and high computing speed, and has been widely used in multi-device control scenarios. The cloud platform can be compatible with multiple devices at the same time, and independently control different devices according to the operating status of different devices. Once the device is connected to the cloud platform, the cloud platform will obtain full control over the device. Although this can achieve effective scheduling and management of all devices, it will reduce the operational independence of the device. In addition, when a virus invades the device, the device cannot effectively deal with the illegal tampering of data caused by the virus invasion, and cannot use the cloud platform to transfer data that may be illegally tampered with in a timely and accurate manner, reducing the cloud platform's efficiency and reliability in preventing and controlling virus invasions on the device, and cannot improve the cloud platform's management controllability and security of the device. Summary of the invention

[0003] In view of the defects of the prior art, the present invention provides a cloud-based integrated management method for autonomous and controllable devices. Based on the resource demand characteristics of all autonomous and controllable devices, it identifies whether the autonomous and controllable devices can independently process tasks, accurately changes the management authority of the cloud platform over the devices, and specifically narrows the device control scope of the cloud platform; based on the operating resource demand attribute information of the autonomous and controllable devices that cannot independently process tasks, it adjusts the resource call status of the cloud platform to meet the resource usage requirements of different devices; based on the data interaction characteristics between the autonomous and controllable devices and the outside world, it determines whether there are data security risks, and obtains the abnormal data transmission attribute information of the corresponding autonomous and controllable devices, so as to identify the data intervals inside the device that may be illegally tampered with, facilitate accurate data transfer inside the device, improve the efficiency and reliability of the cloud platform's intrusion prevention and control of the device, and ensure the cloud platform's management and controllability of the device.

[0004] The present invention provides a cloud-based integrated management method for autonomous and controllable devices, comprising the following steps:

[0005] Step S1, based on the resource demand characteristics of all autonomous controllable devices connected to the cloud platform, identifying whether the autonomous controllable devices can independently process tasks, and changing the management authority of the cloud platform for the autonomous controllable devices that can independently process tasks;

[0006] Step S2, adjusting the resource call status of all autonomous controllable devices that cannot independently process tasks on the cloud platform based on the respective operation resource demand attribute information of all autonomous controllable devices that cannot independently process tasks;

[0007] Step S3, conducting external connection monitoring on all autonomous controllable devices connected to the cloud platform to obtain data interaction characteristics between each autonomous controllable device and the outside world; based on the data interaction characteristics, determining whether the autonomous controllable device has data security risks, and obtaining abnormal data transmission attribute information inside the autonomous controllable device with data security risks;

[0008] Step S4, based on the abnormal data transmission attribute information, identify the data interval in the autonomous and controllable device that may be illegally tampered with; based on the storage space usage information of the cloud platform, transfer at least part of the data in the data interval to the storage space, and change the data interaction state of the autonomous and controllable device.

[0009] In one embodiment disclosed in the present application, in the step S1, based on the resource demand characteristics of all autonomous controllable devices connected to the cloud platform, identifying whether the autonomous controllable devices can independently process tasks includes:

[0010] The historical resource usage information of the autonomous and controllable devices is extracted from the respective operation logs of all the autonomous and controllable devices connected to the cloud platform. Based on the historical resource usage information, the resource demand characteristics of the autonomous and controllable devices in the future time period are predicted; based on the resource demand characteristics and the resource stock information of the autonomous and controllable devices, it is identified whether the autonomous and controllable devices are capable of independently processing tasks.

[0011] In one embodiment disclosed in the present application, in step S1, changing the management authority of the cloud platform over the autonomous controllable device capable of independently processing tasks includes:

[0012] Based on the access gateway of the autonomous and controllable device capable of independently processing tasks on the cloud platform, data interception processing is performed on the access gateway, and the management authority of the cloud platform over the autonomous and controllable device capable of independently processing tasks is suspended.

[0013] In one embodiment disclosed in the present application, in the step S2, it further includes:

[0014] Monitor the task progress of all autonomous and controllable devices that cannot process tasks independently, and obtain the operating resource demand attribute information of each of the autonomous and controllable devices that cannot process tasks independently; wherein the operating resource demand attribute information includes the change information of the demand for computing power resources and memory resources of the autonomous and controllable devices.

[0015] In one embodiment disclosed in the present application, in the step S2, based on the respective operation resource requirement attribute information of all autonomous controllable devices that cannot independently process tasks, the resource call status of all autonomous controllable devices that cannot independently process tasks on the cloud platform is adjusted, including:

[0016] Based on the operating resource demand attribute information, determine the resource call operation parameters of the cloud platform for all autonomous controllable devices that cannot independently process tasks; wherein the resource call operation parameters include the number and call time of the computing resources and / or memory resources of the cloud platform by the autonomous controllable devices that cannot independently process tasks.

[0017] In one embodiment disclosed in the present application, in step S3, external connection monitoring is performed on all autonomous controllable devices connected to the cloud platform to obtain data interaction characteristics between each of the autonomous controllable devices and the outside world, including:

[0018] External connection channels of all autonomous and controllable devices connected to the cloud platform are monitored to obtain uplink data transmission rate variation characteristics between each of the autonomous and controllable devices and the outside world; based on the uplink data transmission rate variation characteristics, uplink data bandwidth occupancy variation characteristics between the autonomous and controllable devices and the outside world are determined.

[0019] In one embodiment disclosed in the present application, in the step S3, based on the data interaction characteristics, it is determined whether the autonomous and controllable device has data security risks, and abnormal data transmission attribute information inside the autonomous and controllable device with data security risks is obtained, including:

[0020] Based on the changing characteristics of the uplink data bandwidth occupancy, determine whether the autonomous and controllable device is in an uplink data overload transmission state; if so, determine that the autonomous and controllable device has data security risks; if not, determine that the autonomous and controllable device does not have data security risks, and obtain abnormal data transmission path information inside the autonomous and controllable device with data security risks, which is used as the abnormal data transmission attribute information.

[0021] In one embodiment disclosed in the present application, in the step S4, based on the abnormal data transmission attribute information, identifying the data interval in the autonomous controllable device that may be illegally tampered with includes:

[0022] Based on the abnormal data transmission path information inside the autonomous and controllable device with data security risks, all data intervals associated with the abnormal data transmission path inside the autonomous and controllable device are determined; based on the data modification permission status of each data interval associated with the abnormal data transmission path, the data intervals in the autonomous and controllable device that may be illegally tampered with are identified.

[0023] In one embodiment disclosed in the present application, in the step S4, based on the storage space usage information of the cloud platform, at least part of the data in the data interval is transferred to the storage space, and the data interaction state of the autonomous controllable device is changed, including:

[0024] Based on the available capacity information of the storage interval of the cloud platform and the usage frequency of all the data in the data interval, at least part of the data in the data interval is transferred to the storage space, and the uplink data transmission permission between the autonomous controllable device and the outside world is stopped.

[0025] In one embodiment disclosed in the present application, in the step S4, based on the available capacity information of the storage interval of the cloud platform and the usage frequency of all the data in the data interval, at least part of the data in the data interval is transferred to the storage space, including:

[0026] Based on the usage frequency of all data in the data interval, all key data in the data interval are determined; based on the available capacity information of the storage interval of the cloud platform, at least part of the key data in the data interval is transferred to the storage space; wherein the amount of key data transferred to the storage space does not exceed the available capacity of the storage interval.

[0027] Compared with the existing technology, the cloud-based integrated management method for autonomous and controllable devices is based on the resource demand characteristics of all autonomous and controllable devices, identifies whether the autonomous and controllable devices can independently handle tasks, accurately changes the cloud platform's management authority over the devices, and specifically narrows the cloud platform's device control scope; based on the operating resource demand attribute information of autonomous and controllable devices that cannot independently handle tasks, adjusts the resource call status of the cloud platform to meet the resource usage requirements of different devices; based on the data interaction characteristics between the autonomous and controllable devices and the outside world, determines whether there are data security risks, and obtains the abnormal data transmission attribute information of the corresponding autonomous and controllable devices, thereby identifying the data intervals inside the device that may be illegally tampered with, facilitating accurate data transfer inside the device, improving the efficiency and reliability of the cloud platform's intrusion prevention and control of the device, and ensuring the cloud platform's management and controllability of the device.

[0028] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0029] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 A schematic diagram of the flow of the cloud-based integrated management method for autonomous and controllable devices provided by the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 , is a flow chart of a cloud-based integrated management method for autonomous controllable devices provided by an embodiment of the present invention. The cloud-based integrated management method for autonomous controllable devices includes:

[0034] Step S1, based on the resource demand characteristics of all autonomous controllable devices connected to the cloud platform, identify whether the autonomous controllable devices can independently process tasks, and change the cloud platform's management authority over the autonomous controllable devices that can independently process tasks;

[0035] Step S2, adjusting the resource call status of all autonomous controllable devices that cannot independently process tasks on the cloud platform based on the respective operation resource demand attribute information of all autonomous controllable devices that cannot independently process tasks;

[0036] Step S3, external connection monitoring is performed on all autonomous controllable devices connected to the cloud platform to obtain data interaction characteristics between each autonomous controllable device and the outside world; based on the data interaction characteristics, it is determined whether there are data security risks in the autonomous controllable devices, and abnormal data transmission attribute information inside the autonomous controllable devices with data security risks is obtained;

[0037] Step S4, based on the abnormal data transmission attribute information, identify the data interval in the autonomous and controllable device that may be illegally tampered with; based on the storage space usage information of the cloud platform, transfer at least part of the data in the data interval to the storage space, and change the data interaction state of the autonomous and controllable device.

[0038] The beneficial effects of the above technical solution are as follows: the cloud-based integrated management method for autonomous and controllable devices is based on the resource demand characteristics of all autonomous and controllable devices, identifies whether the autonomous and controllable devices can independently handle tasks, accurately changes the management authority of the cloud platform over the devices, and specifically narrows the device control scope of the cloud platform; based on the operating resource demand attribute information of the autonomous and controllable devices that cannot independently handle tasks, adjusts the resource call status of the cloud platform to meet the resource usage requirements of different devices; based on the data interaction characteristics between the autonomous and controllable devices and the outside world, determines whether there are data security risks, and obtains the abnormal data transmission attribute information of the corresponding autonomous and controllable devices, so as to identify the data intervals inside the device that may be illegally tampered with, facilitate accurate data transfer inside the device, improve the efficiency and reliability of the cloud platform's intrusion prevention and control of the device, and ensure the cloud platform's management and controllability of the device.

[0039] Preferably, in step S1, based on the resource demand characteristics of all autonomous controllable devices connected to the cloud platform, identifying whether the autonomous controllable device can independently process the task includes:

[0040] The historical resource usage information of the autonomous and controllable devices is extracted from the respective operation logs of all the autonomous and controllable devices connected to the cloud platform. Based on the historical resource usage information, the resource demand characteristics of the autonomous and controllable devices in the future time period are predicted. Based on the resource demand characteristics and the resource stock information of the autonomous and controllable devices, it is identified whether the autonomous and controllable devices are able to handle tasks independently.

[0041] The beneficial effects of the above technical solution are as follows: autonomous controllable devices may include but are not limited to smart terminal devices such as smart phones or portable computers. Autonomous controllable devices can be connected to the cloud platform through the Internet. The cloud platform can simultaneously connect to multiple autonomous controllable devices, thereby integrating management and control of all autonomous controllable devices. In addition, each autonomous controllable device has computing power resources and memory resources that can be fully controlled autonomously. When processing tasks, the autonomous controllable device will give priority to using its own computing power resources and memory resources to complete the corresponding task process. The amount of computing power resources and memory resources available to the autonomous controllable device itself directly affects whether the autonomous controllable device can independently process and complete the task. In order to predict whether the autonomous controllable device can independently process and complete the task, the historical resource usage information of the autonomous controllable device (i.e., the amount and time of use of computing power resources and memory resources by the autonomous controllable device in the historical processing of tasks) is extracted from the operation logs of all autonomous controllable devices connected to the cloud platform. Based on the historical resource usage information, the resource demand characteristics such as the resource demand amount and resource demand time of the autonomous controllable device in the future time period are predicted, and the amount of computing power resources and memory resources required by the autonomous controllable device at different time points in the future time period is obtained. The resource demand characteristics of the autonomous and controllable device in the future time period are then compared with the resource stock information of the autonomous and controllable device (i.e., the remaining available quantity information of the computing power resources and memory resources of the autonomous and controllable device at different time points in the future time period) to identify whether the autonomous and controllable device can independently process the task; for example, when the demand quantity for computing power resources and memory resources of the autonomous and controllable device at different time points in the future time period exceeds the remaining available quantity of computing power resources and memory resources of the autonomous and controllable device at different time points in the future time period, it is determined that the autonomous and controllable device cannot independently process the task; otherwise, it is determined that the autonomous and controllable device can independently process the task, so as to temporarily isolate the autonomous and controllable device that can independently process the task outside the control scope of the cloud platform in the future, thereby reducing the number of autonomous and controllable devices that need to be controlled by the cloud platform and reducing the operating load of the cloud platform.

[0042] Preferably, in step S1, changing the management authority of the cloud platform over the autonomous controllable device capable of independently processing tasks includes:

[0043] Based on the access gateway of the autonomous and controllable devices capable of independently processing tasks on the cloud platform, data is intercepted on the access gateway and the cloud platform's management authority over the autonomous and controllable devices capable of independently processing tasks is suspended.

[0044] The beneficial effects of the above technical solution are as follows: Through the above analysis, it can be seen that the autonomous controllable device that can independently process tasks can complete the tasks based on only its own computing power resources and memory resources, that is, the autonomous controllable device that can independently process tasks does not need to call any resources from the cloud platform. At this time, although the autonomous controllable device that can independently process tasks is connected to the cloud platform, the autonomous controllable device that can independently process tasks can work normally without interacting with the cloud platform. In order to reduce the number of autonomous controllable devices that the cloud platform needs to manage, based on the access gateway of the autonomous controllable device that can independently process tasks on the cloud platform, the corresponding access gateway is intercepted and processed, that is, the cloud platform is controlled not to receive data uploaded from the corresponding access gateway, thereby suspending the cloud platform's management authority over the autonomous controllable device that can independently process tasks, which can reduce the operating load of the cloud platform.

[0045] Preferably, in step S2, it also includes:

[0046] The task progress is monitored for all autonomous and controllable devices that cannot independently process tasks, and the operating resource demand attribute information of each autonomous and controllable device that cannot independently process tasks is obtained; wherein the operating resource demand attribute information includes the change information of the demand for computing power resources and memory resources of the autonomous and controllable devices.

[0047] The beneficial effects of the above technical solution are as follows: through the above analysis, it can be known that the autonomous controllable device that cannot independently process tasks cannot complete the task based on only using its own computing power resources and memory resources. It needs to call the corresponding computing power resources and / or memory resources from the cloud platform. At the same time, the autonomous controllable device that cannot independently process tasks requires the same amount of computing power resources and / or memory resources at different times during the task processing process. In order to enable the autonomous controllable device that cannot independently process tasks to accurately call computing power resources and memory resources from the cloud platform without occupying too much resources inside the cloud platform, it is necessary to monitor the task progress of all autonomous controllable devices that cannot independently process tasks, and obtain the change information of the demand for computing power resources and memory resources of each autonomous controllable device that cannot independently process tasks, that is, the amount of computing power resources and memory resources of the autonomous controllable device that cannot independently process tasks at different time points in the future time period, so as to provide a reliable basis for the subsequent calling of appropriate amount of computing power resources and memory resources for different autonomous controllable devices that cannot independently process tasks on the cloud platform.

[0048] Preferably, in step S2, based on the respective operation resource requirement attribute information of all autonomous controllable devices that cannot independently process tasks, the resource call status of all autonomous controllable devices that cannot independently process tasks on the cloud platform is adjusted, including:

[0049] Based on the operating resource demand attribute information, determine the resource call operation parameters of the cloud platform for all autonomous and controllable devices that cannot independently process tasks; among which, the resource call operation parameters include the number and time of calls made by the autonomous and controllable devices that cannot independently process tasks to the computing resources and / or memory resources of the cloud platform.

[0050] The beneficial effect of the above technical solution is: based on the operating resource demand attribute information of each autonomous controllable device that cannot independently process tasks, the number and call time of each autonomous controllable device that cannot independently process tasks to the computing power resources and / or memory resources of the cloud platform are determined. This can ensure that each autonomous controllable device that cannot independently process tasks can accurately call an appropriate amount of computing power resources and / or memory resources from the cloud platform at each time point in the future, ensuring that the autonomous controllable device can maintain a normal task processing state.

[0051] Preferably, in step S3, all autonomous controllable devices connected to the cloud platform are monitored for external connections to obtain data interaction characteristics between each autonomous controllable device and the outside world, including:

[0052] The external connection channels of all autonomous and controllable devices connected to the cloud platform are monitored to obtain the change characteristics of the uplink data transmission rate between each autonomous and controllable device and the outside world; based on the change characteristics of the uplink data transmission rate, the change characteristics of the uplink data bandwidth occupancy between the autonomous and controllable devices and the outside world are determined.

[0053] The beneficial effects of the above technical solution are: the autonomous controllable device will also exchange data with other external user terminals during the working process, and the autonomous controllable device may be invaded by other user terminals during the data interaction with other external user terminals, that is, the autonomous controllable device will receive virus data from other user terminals and be attacked, thereby affecting the normal operation of the autonomous controllable device. In order to quickly and accurately identify whether all autonomous controllable devices connected to the cloud platform are attacked and there are data security risks, all autonomous controllable devices are monitored on the external connection channel to obtain the uplink data transmission rate change characteristics between each autonomous controllable device and other external user terminals (that is, the rate of data transmission from other external user terminals to autonomous controllable devices varies with time), so as to determine the uplink data bandwidth occupancy change characteristics between each autonomous controllable device and other external users (that is, the bandwidth occupied by other external user terminals during data transmission to autonomous controllable devices varies with time), which provides a reliable basis for the subsequent judgment of whether the autonomous controllable device is attacked by traffic and there are data security risks.

[0054] Preferably, in step S3, based on the data interaction characteristics, it is determined whether there is a data security risk in the autonomous controllable device, and abnormal data transmission attribute information inside the autonomous controllable device with the data security risk is obtained, including:

[0055] Based on the changing characteristics of uplink data bandwidth occupancy, determine whether the autonomous and controllable device is in an uplink data overload transmission state; if so, determine that the autonomous and controllable device has data security risks; if not, determine that the autonomous and controllable device does not have data security risks, and obtain the abnormal data transmission path information inside the autonomous and controllable device with data security risks, which is used as the abnormal data transmission attribute information.

[0056] The beneficial effect of the above technical solution is: when the autonomous controllable device is attacked by traffic from other external user terminals, the change characteristics of the uplink data bandwidth occupancy between the autonomous controllable device and the outside world will show an increasing trend, that is, the bandwidth occupied by other external user terminals in the process of transmitting data to the autonomous controllable device will continue to exceed the preset threshold. By judging whether the autonomous controllable device is in an uplink data overload transmission state, it is accurately judged whether the autonomous controllable device has data security risks. And when the autonomous controllable device has data security risks, the abnormal data transmission path information inside the autonomous controllable device with data security risks is also obtained as abnormal data transmission attribute information. The abnormal data transmission path information represents the transmission path of the abnormal data flow inside the autonomous controllable device that is launched by other external user terminals to the autonomous controllable device. , So as to provide a reliable basis for the subsequent identification of the data interval that may be attacked by traffic inside the autonomous controllable device.

[0057] Preferably, in step S4, based on the abnormal data transmission attribute information, identifying the data interval that may be illegally tampered with in the autonomous controllable device includes:

[0058] Based on the abnormal data transmission path information inside the autonomous and controllable device with data security risks, all data intervals associated with the abnormal data transmission path inside the autonomous and controllable device are determined; based on the data modification permission status of each data interval associated with the abnormal data transmission path, the data intervals in the autonomous and controllable device that may be illegally tampered with are identified.

[0059] The beneficial effect of the above technical solution is: based on the abnormal data transmission path information inside the autonomous controllable device with data security risks, all data intervals where data interaction will occur during the transmission of abnormal data inside the autonomous controllable device are determined, and these are used as all data intervals associated with the abnormal data transmission path inside the autonomous controllable device. When the above data interval is in an editable state, the above data interval will be illegally tampered with under the influence of abnormal data. To this end, based on the data modification permission status of all data intervals associated with the abnormal data transmission path, the data intervals that may be illegally tampered with in the autonomous controllable device are identified. If the data interval is in an editable state, the data interval will be interfered with by the abnormal data and illegally tampered with; if the data interval is in a read-only state, the data interval will not be interfered with by the abnormal data and will not be illegally tampered with.

[0060] Preferably, in step S4, based on the storage space usage information of the cloud platform, at least part of the data in the data interval is transferred to the storage space, and the data interaction state of the autonomous controllable device is changed, including:

[0061] Based on the available capacity information of the storage interval and the usage frequency of all the data in the data interval, the cloud platform can transfer at least part of the data in the data interval to the storage space, and stop the uplink data transmission permission between the autonomous controllable device and the outside world.

[0062] The beneficial effect of the above technical solution is: when the data interval in the autonomous and controllable device is illegally tampered with, the data stored in the data interval needs to be transferred and backed up. In order to ensure that the corresponding data stored in the data interval can be completely transferred and backed up to the storage interval of the cloud platform, it is necessary to first determine the data portion of the data interval that needs to be transferred and backed up. At the same time, in order to avoid wasting the storage capacity of the cloud platform by transferring and backing up useless or infrequently used data in the data interval, first determine the data portion that needs to be transferred and backed up in the data interval based on the respective usage frequencies of all data in the data interval, and then transfer the above-determined data portion to the storage space, so as to avoid the interference of abnormal data. At the same time, the uplink data transmission authority between the autonomous and controllable device and other external user terminals is stopped to prevent the autonomous and controllable device from continuing to be attacked by traffic from other external user terminals.

[0063] Preferably, in step S4, based on the available capacity information of the storage interval of the cloud platform and the usage frequency of all the data in the data interval, at least part of the data in the data interval is transferred to the storage space, including:

[0064] Based on the usage frequency of all data in the data interval, all key data in the data interval are determined; based on the available capacity information of the storage interval of the cloud platform, at least part of the key data in the data interval is transferred to the storage space; wherein the amount of key data transferred to the storage space does not exceed the available capacity of the storage interval.

[0065] The beneficial effects of the above technical solution are: in order to avoid wasting the storage capacity of the cloud platform by transferring and backing up useless or infrequently used data in the data interval to the storage interval, all key data in the data interval are first determined based on the usage frequency of all data in the data interval. Generally speaking, if the usage frequency of a certain data in the data interval exceeds a preset frequency threshold, the above data is determined as key data; otherwise, the above data is not determined as key data. In addition, based on the available capacity information of the storage interval of the cloud platform, at least part of the key data in the data interval is transferred to the storage space, thereby ensuring that all key data is transferred and backed up to the storage space of the cloud platform, thereby improving the data security of the autonomous and controllable device.

[0066] It can be seen from the contents of the above embodiments that the cloud-based integrated management method for autonomous and controllable devices is based on the resource demand characteristics of all autonomous and controllable devices, identifies whether the autonomous and controllable devices can independently handle tasks, accurately changes the management authority of the cloud platform over the devices, and specifically narrows the device control scope of the cloud platform; based on the operating resource demand attribute information of the autonomous and controllable devices that cannot independently handle tasks, adjusts the resource call status of the cloud platform to meet the resource usage requirements of different devices; based on the data interaction characteristics between the autonomous and controllable devices and the outside world, determines whether there are data security risks, and obtains the abnormal data transmission attribute information of the corresponding autonomous and controllable devices, so as to identify the data intervals inside the device that may be illegally tampered with, facilitate accurate data transfer inside the device, improve the efficiency and reliability of the cloud platform's intrusion prevention and control of the device, and ensure the cloud platform's management and controllability of the device.

[0067] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A cloud-based integrated management method for autonomous and controllable devices, characterized in that: It includes the following steps: Step S1, based on the resource demand characteristics of all autonomous controllable devices connected to the cloud platform, identifying whether the autonomous controllable devices can independently process tasks, and changing the management authority of the cloud platform over the autonomous controllable devices that can independently process tasks, including extracting historical resource usage information of the autonomous controllable devices from the operation logs of all autonomous controllable devices connected to the cloud platform, and predicting the resource demand characteristics of the autonomous controllable devices in the future time period based on the historical resource usage information; Based on the resource demand characteristics and the resource stock information of the autonomous and controllable devices, identify whether the autonomous and controllable devices can independently process tasks, intercept data of the autonomous and controllable devices that can independently process tasks at the access gateway of the cloud platform, and suspend the management authority of the cloud platform over the autonomous and controllable devices that can independently process tasks; Step S2, adjusting the resource call status of all autonomous controllable devices that cannot independently process tasks on the cloud platform based on the respective operation resource demand attribute information of all autonomous controllable devices that cannot independently process tasks; Step S3, conduct external connection monitoring on all autonomous controllable devices connected to the cloud platform to obtain data interaction characteristics between each autonomous controllable device and the outside world; based on the data interaction characteristics, determine whether the autonomous controllable device has data security risks, and obtain abnormal data transmission attribute information inside the autonomous controllable device with data security risks, including conducting external connection channel monitoring on all autonomous controllable devices connected to the cloud platform to obtain uplink data transmission rate change characteristics between each autonomous controllable device and the outside world, thereby determining the uplink data bandwidth occupancy change characteristics between the autonomous controllable device and the outside world, and based on the uplink data bandwidth occupancy change characteristics, determine whether the autonomous controllable device is in an uplink data overload transmission state; if so, determine that the autonomous controllable device has data security risks; if not, determine that the autonomous controllable device does not have data security risks, and obtain abnormal data transmission path information inside the autonomous controllable device with data security risks, as the abnormal data transmission attribute information; Step S4, based on the abnormal data transmission attribute information, identifying the data interval that may be illegally tampered with in the autonomous controllable device; Based on the storage space usage information of the cloud platform, at least part of the data in the data interval is transferred to the storage space, and the data interaction state of the autonomous controllable device is changed.

2. The cloud-based integrated management method for autonomous and controllable devices according to claim 1, characterized in that: In the step S2, it also includes: Monitor the task progress of all autonomous and controllable devices that cannot process tasks independently, and obtain the operating resource demand attribute information of each of the autonomous and controllable devices that cannot process tasks independently; wherein the operating resource demand attribute information includes the change information of the demand for computing power resources and memory resources of the autonomous and controllable devices.

3. The cloud-based integrated management method for autonomous and controllable devices according to claim 2, characterized in that: In the step S2, based on the respective operation resource requirement attribute information of all autonomous controllable devices that cannot independently process tasks, the resource call status of all autonomous controllable devices that cannot independently process tasks on the cloud platform is adjusted, including: Based on the operating resource demand attribute information, determine the resource call operation parameters of the cloud platform for all autonomous controllable devices that cannot independently process tasks; wherein the resource call operation parameters include the number and call time of the computing resources and / or memory resources of the cloud platform by the autonomous controllable devices that cannot independently process tasks.

4. The cloud-based integrated management method for autonomous and controllable devices according to claim 1, characterized in that: In the step S4, based on the abnormal data transmission attribute information, identifying the data interval that may be illegally tampered with in the autonomous controllable device includes: Based on the abnormal data transmission path information inside the autonomous and controllable device with data security risks, all data intervals associated with the abnormal data transmission path inside the autonomous and controllable device are determined; based on the data modification permission status of each data interval associated with the abnormal data transmission path, the data intervals in the autonomous and controllable device that may be illegally tampered with are identified.

5. The cloud-based integrated management method for autonomous and controllable devices according to claim 4, characterized in that: In the step S4, based on the storage space usage information of the cloud platform, at least part of the data in the data interval is transferred to the storage space, and the data interaction state of the autonomous controllable device is changed, including: Based on the available capacity information of the storage interval of the cloud platform and the usage frequency of all the data in the data interval, at least part of the data in the data interval is transferred to the storage space, and the uplink data transmission permission between the autonomous controllable device and the outside world is stopped.

6. The cloud-based integrated management method for autonomous and controllable devices according to claim 5, characterized in that: In the step S4, based on the available capacity information of the storage interval of the cloud platform and the usage frequency of all the data in the data interval, at least part of the data in the data interval is transferred to the storage space, including: Based on the usage frequency of all data in the data interval, all key data in the data interval are determined; based on the available capacity information of the storage interval of the cloud platform, at least part of the key data in the data interval is transferred to the storage space; wherein the amount of key data transferred to the storage space does not exceed the available capacity of the storage interval.

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