CN113741957A - Intelligent equipment management method and management system based on Internet of things - Google Patents
Intelligent equipment management method and management system based on Internet of things Download PDFInfo
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- CN113741957A CN113741957A CN202111013273.6A CN202111013273A CN113741957A CN 113741957 A CN113741957 A CN 113741957A CN 202111013273 A CN202111013273 A CN 202111013273A CN 113741957 A CN113741957 A CN 113741957A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
Abstract
The invention discloses an intelligent device management method and a management system based on the Internet of things, wherein the management system comprises a server and at least two intelligent devices, and the management method comprises the following steps: the intelligent equipment monitors and uploads operation information and equipment configuration parameter information to the server; the server configures a plurality of system optimization strategies; the server issues at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy. The embodiment of the invention solves the problem that the intelligent equipment in the Internet of things is easy to operate slowly due to equipment storage and memory exhaustion, realizes remote equipment management of a server side, can also ensure that different intelligent equipment can be effectively optimized, solves the problem of high availability of industrial equipment in the using process, and improves the stability and maintainability of the whole Internet of things system.
Description
Technical Field
The embodiment of the invention relates to the technical field of management of the Internet of things, in particular to an intelligent device management method and system based on the Internet of things.
Background
With the rise of industrial intelligent equipment, the intelligent equipment is widely used in the fields of factories, logistics, retail, medical treatment and the like to construct the internet of things so as to replace the traditional manual work for work. However, as the usage of devices increases dramatically, the management of smart devices presents a significant challenge.
In the internet of things, as the use time of intelligent equipment increases, the storage and the memory of the intelligent equipment are exhausted by the installed applications and useless residual files, so that the system runs slowly and cannot be used normally. At present, some applications are generally deleted or uninstalled manually by a user, but the conditions of mistaken deletion and undeterminable junk files exist, so that the device storage and the memory cannot be cleaned effectively in time. Although the factory setting recovery mode can solve the problem of slow system operation, the installed application and the stored data are lost in the mode.
Disclosure of Invention
The embodiment of the invention provides an intelligent device management method and system based on the Internet of things, which are used for managing intelligent devices in the Internet of things, optimizing the system operation of the intelligent devices in real time and avoiding the problem of slow system operation caused by device storage and memory exhaustion.
In a first aspect, an embodiment of the present invention provides an intelligent device management method based on the internet of things, where the management method is applied to an intelligent device management system based on the internet of things, the management system includes a server and at least two intelligent devices, and the management method includes:
the intelligent equipment monitors and uploads operation information and equipment configuration parameter information to the server;
the server configures a plurality of system optimization strategies;
and the server issues at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy.
In a second aspect, an embodiment of the present invention further provides an intelligent device management system based on the internet of things, including a server and at least two intelligent devices;
the intelligent equipment comprises a monitoring uploading module, and the monitoring uploading module is used for monitoring and uploading operation information and equipment configuration parameter information to the server;
the server comprises a strategy management module, wherein the strategy management module is used for configuring various system optimization strategies and is also used for issuing at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment so as to enable the intelligent equipment to carry out system optimization according to the issued system optimization strategy.
According to the intelligent equipment management method and system based on the Internet of things, firstly, intelligent equipment monitors and sends last-time operation signals and equipment configuration parameter information to a server; then, the server configures a plurality of system optimization strategies; and finally, the server issues at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy. The embodiment of the invention solves the problem that the intelligent equipment in the Internet of things is easy to cause slow system operation due to equipment storage and memory exhaustion, and the intelligent equipment is enabled to realize the optimization of the system by adopting different modes from different angles by configuring various system optimization strategies through the server and issuing the system optimization strategies to the intelligent equipment and triggering and executing the corresponding system optimization strategies by the intelligent equipment, thereby effectively solving the problem of slow system operation. In addition, the embodiment of the invention not only realizes the remote equipment management of the server, but also ensures that different intelligent equipment can be effectively optimized, solves the problem of high availability of industrial equipment in the using process, and improves the stability and maintainability of the whole Internet of things system.
Drawings
Fig. 1 is a schematic flowchart of a method for managing an intelligent device based on the internet of things according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for managing an intelligent device based on the internet of things according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a method for managing an intelligent device based on the internet of things according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent device management system based on the internet of things according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like. In addition, the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
The term "include" and variations thereof as used herein are intended to be open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment".
It should be noted that the concepts of "first", "second", etc. mentioned in the present invention are only used for distinguishing corresponding contents, and are not used for limiting the order or interdependence relationship.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
Example one
Fig. 1 is a schematic flowchart of a method for managing an intelligent device based on an internet of things according to an embodiment of the present invention, where the method is applicable to managing an intelligent device in an internet of things in the industrial field such as logistics, and the method can be executed by an intelligent device management system based on an internet of things, where the management system can be implemented by software and/or hardware, and specifically, the management system can include a server and at least two intelligent devices. As shown in fig. 1, a method for managing an intelligent device based on an internet of things according to an embodiment of the present invention includes the following steps:
and S110, monitoring and uploading the running information and the equipment configuration parameter information to a server by the intelligent equipment.
In the management system of this embodiment, the intelligent device and the server may be connected in a wired or wireless manner. The running information of the intelligent device represents the current running state of the system, and it can be understood that running different numbers and types of application programs can cause different use conditions of the memory, storage and central processing unit of the system, so that the system runs slowly. The operation information of the intelligent device includes, but is not limited to, installed application information, memory information, storage information, and central processor information. The device configuration parameter information indicates the configuration parameter condition of the intelligent device system, different intelligent devices have different hardware resources, and the memory, storage, central processing unit and the like of the intelligent devices have different configurations. In the step, the intelligent device is firstly responsible for monitoring the state of the system of the intelligent device and uploading the hardware parameters of the intelligent device to the server so as to enable the server to perform subsequent management.
It should be noted that at least two intelligent devices in the internet of things can monitor and upload the running conditions of the intelligent devices in real time, and also can monitor and feed back the running conditions of the intelligent devices according to respective preset time periods, or monitor and feed back the running conditions of the intelligent devices according to instructions issued by a server, so that the intelligent devices can monitor and upload the information of the intelligent devices according to requirements.
And S120, configuring a plurality of system optimization strategies by the server.
The system optimization strategy is a program which can reduce the system load after the intelligent equipment is executed and optimize the use condition of a memory, a storage and a central processing unit. This step is essentially the process by which the server sets different system optimization strategies from various optimization perspectives. It can be understood that a single system optimization strategy may not completely solve the problem of various system slownesses existing in the intelligent device, and different system optimization strategies can be integrated in the step to make up for the defect that a single optimization strategy optimization mode is single.
S130, the server issues at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy.
The step is that the server provides corresponding system optimization strategies for different intelligent devices, and the intelligent devices can optimize the system operation slowness from different angles according to at least one system optimization strategy provided by the server. Illustratively, the system may be optimized from the perspective of prevention and resolution, for example, by configuring the system optimization policy to be: the intelligent equipment has an application installation upper limit, and at the moment, the intelligent equipment can be prevented from starting too many applications at the same time, so that the system is prevented from running slowly; or, the system optimization strategy is configured as follows: the hardware use condition of the intelligent device has an upper limit, and simultaneously, a system optimization strategy is configured as follows: and when the use of the hardware resources reaches the upper limit value, the application process is ended, and the running problem of the current intelligent equipment system can be solved. Of course, the system optimization strategies herein are only examples, and those skilled in the art may add corresponding system optimization strategies according to any optimization system angle, so as to enable the intelligent terminal to perform effective system optimization.
Firstly, monitoring and sending a last-time operation signal and equipment configuration parameter information to a server by intelligent equipment; then, the server configures a plurality of system optimization strategies; and finally, the server issues at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy. The embodiment of the invention solves the problem that the intelligent equipment in the Internet of things is easy to cause slow system operation due to equipment storage and memory exhaustion, and the intelligent equipment is enabled to realize the optimization of the system by adopting different modes from different angles by configuring various system optimization strategies through the server and issuing the system optimization strategies to the intelligent equipment and triggering and executing the corresponding system optimization strategies by the intelligent equipment, thereby effectively solving the problem of slow system operation. In addition, the embodiment of the invention not only realizes the remote equipment management of the server, but also ensures that different intelligent equipment can be effectively optimized, solves the problem of high availability of industrial equipment in the using process, and improves the stability and maintainability of the whole Internet of things system.
It should be noted that the sequence of the steps in the management method is not limited, where step S110 and step S120 do not have a sequential logic relationship, and in the actual management process, the steps may be executed synchronously, or step S120, that is, the step of configuring multiple system optimization policies by the server, is executed first, and step S110, that is, the intelligent device monitors and uploads information to the server.
On the basis of the above-mentioned embodiments, the present invention proposes modified embodiments of the above-mentioned embodiments, and it should be noted herein that, in order to make the description brief, only the differences from the above-mentioned embodiments are described in the modified embodiments.
In a specific embodiment, the selectable multiple system optimization strategies include a risk alarm strategy, which includes: and when at least one of the memory utilization rate reaching the upper risk limit, the storage utilization rate reaching the upper risk limit and the central processing unit utilization rate reaching the upper risk limit is met, triggering an alarm action.
It can be understood that the operation speed of the intelligent device system is mainly related to the utilization rate of hardware resources, and when the utilization rates of the memory, the storage and the central processing unit exceed the upper risk limit, the system has a greater risk and even directly causes slow operation. In this embodiment, a risk alarm policy is added, so that a user can be prompted that a current intelligent device has a large risk or a problem that a system runs slowly, and thus, the user can be prompted to optimize the system manually or in other manners.
It should be added that, in the risk alarm policy, the condition for triggering the alarm action may be that the duration of any one of the above-mentioned memory usage rate reaching the upper risk limit, storage usage rate reaching the upper risk limit, and central processing unit usage rate reaching the upper risk limit exceeds a preset time threshold, which is not limited herein.
Further optionally, the risk alert policy further comprises: after the alarm action is triggered, the intelligent device executes at least one of ending the application process, clearing the garbage data or recovering the factory setting.
The step is a system optimization step carried out by the intelligent equipment after the intelligent equipment triggers the alarm, and the operation conditions of the internal memory, the storage and the central processing unit of the intelligent equipment can be dynamically managed. The application process is ended, the junk data is cleared, the use condition of hardware resources can be temporarily improved, the system is optimized, and at the moment, the application, the effective data, the effective files, the corresponding settings and the like in the intelligent device cannot be influenced. And the factory restoration setting means that the intelligent equipment performs optimization such as unloading application, clearing data, restoring setting and the like, and the method can relatively solve the problem that the system runs slowly for a long time.
Further, in order to avoid that the system optimization mode for restoring the factory settings affects the use of the smart device, in this embodiment, the risk alarm policy may further include: and after the intelligent equipment executes factory reset, pre-installing the application. At the moment, even if the factory setting of the intelligent equipment is recovered, the relevant application can be ensured to be automatically installed in the follow-up process, so that the normal use of the equipment is not influenced while the system operation problem is solved.
Further optionally, the risk alert policy further comprises: after the alarm action is triggered, the intelligent device uploads alarm triggering information to the server.
The alarm triggering information is uploaded to the server, and the fact that the current intelligent device can provide the hardware information of which the utilization rate reaches the upper risk limit to the server side is shown. Based on the method, the system of the intelligent equipment can be optimized through the server at the management end of the Internet of things. It will be appreciated that the policy is essentially the process of prompting an administrator via the server and providing alert information to the administrator. Based on the strategy of intelligent equipment uploading alarm information, the management end of the Internet of things can collect the running condition of the equipment, collect the alarm information, and an administrator can know the condition of each equipment in real time and coordinate the solution.
In another embodiment, the selectable plurality of system optimization strategies includes an application weight strategy, and the application weight strategy includes:
configuring the weight of at least part of applications in the intelligent device;
and when the memory utilization rate reaches a preset threshold value, ending the process of at least part of the applications which are not configured with the weight or have smaller weight.
The application weight strategy is essentially a process for ending the application with smaller weight so as to reduce the hardware occupation and carry out system optimization. Firstly, the weight of the application installed in the intelligent device is divided, and the weight can be mainly used as a dividing standard according to the importance degree of the application. In addition, there may be many applications installed in the smart device, and there are applications without configuration weight, and in this embodiment, the default weight of the application without configuration may be set to be the lowest. Based on this, when the memory utilization rate reaches the preset threshold, the applications are sorted according to the weight of the currently running applications, the application processes after sorting are ended, and the application processes before sorting are reserved, so that the running of important applications can be protected, meanwhile, the occupation of hardware such as memories by non-important applications can be reduced, and the running condition of the system is improved.
In yet another embodiment, the selectable plurality of system optimization policies includes a blacklist policy, the blacklist policy including: and configuring a black list and/or a white list of at least part of applications in the intelligent equipment.
The blacklist represents a list of applications that are prohibited from being installed, and the whitelist represents a list of applications that are allowed to be installed. By setting the black and white lists, the application installation in each intelligent device can be managed, useless application installation on the intelligent device by a user is avoided, and the number and the types of the application installation on the intelligent device are limited, so that the hardware resources of the intelligent device are prevented from being occupied inefficiently to influence the system operation.
In addition to the above-described system optimization strategies, those skilled in the art may set other strategies to enrich the optimization approach. Exemplarily, a garbage file path configuration strategy can be added, and after the alarm triggering action is performed, the stored garbage file is deleted, so that the occupation of storage resources is reduced.
Fig. 2 is a flowchart of a method for managing an intelligent device based on an internet of things according to an embodiment of the present invention, and referring to fig. 2, for example, the management method may specifically configure a system optimization policy by a server, where the policy includes an application priority, an application blacklist, an average current size, a pre-installed application, a log, a garbage file directory, and the like; secondly, after the intelligent device is registered at the server, the intelligent terminal receives various system optimization strategies issued by the server, wherein the strategies pre-installed with the application are directly executed by the intelligent device. Then, the intelligent device analyzes the operation condition of the system at regular time, and monitors the memory condition, the central processing unit condition, the storage condition and the average current condition respectively and triggers a corresponding optimization scheme except that the system parameters analyzed at regular time are uploaded to the server. It should be noted that, in the management method, the magnitude of the average current is monitored, and the power consumption of the smart device is substantially detected, so that the power consumption of the smart device is optimized by ending the application with the lower weight level. Those skilled in the art can understand that the power condition of the intelligent device also affects the operation of the system to a certain extent, and the process is also an optimization process performed on the system, which is helpful for improving the operation speed of the system.
It should be further noted that, in the management method provided in the embodiment of the present invention, at least two system optimization strategies may be optionally packaged and issued to the intelligent device, and the system optimization strategies issued to the intelligent device may be automatically triggered and executed according to the operating condition of the intelligent device itself. At the moment, after the intelligent equipment is configured with various system optimization strategies, the intelligent equipment can perform self system optimization from various angles, the problem of high availability of industrial equipment in the using process is solved, and the stability and maintainability of the whole Internet of things system are improved.
Example two
Fig. 3 is a schematic flow chart of an intelligent device management method based on the internet of things according to a second embodiment of the present invention, and referring to fig. 3, the second embodiment is optimized based on the foregoing embodiments. In this embodiment, the management method is further embodied as: before step S110, the intelligent device monitors and uploads the operation information and the device configuration parameter information to the server, the management method further includes: s101, a server manages a plurality of intelligent devices in a grouping mode to form at least two intelligent device groups; step S120, the server configures a plurality of system optimization strategies, which may include: s121, the server configures various corresponding system optimization strategies for different intelligent device groups.
It can be understood that a larger number of intelligent devices can be arranged in the whole internet of things system, and based on the fact that the intelligent devices may have different hardware levels, attribution relations, working performances and the like, the intelligent devices are conveniently managed and optimized in a targeted manner, and servers can be selectively utilized to perform group management on the intelligent devices in the embodiment of the invention. Based on the operation of group management, when the server configures the system optimization policy in step S120, the configuration may be performed based on the characteristics of hardware level, working performance, affiliation, etc. of different smart device groups. In a specific example, in an internet of things system in the field of logistics, an intelligent device is generally an intelligent tablet device, and is used for identifying, collecting or recording logistics information of goods or packages. For goods or packages of different logistics companies, different types of intelligent tablet devices are generally set for logistics information acquisition, and differences may exist in applications, hardware levels and the like installed on the intelligent tablet devices.
Therefore, in this embodiment, grouping is performed according to the affiliation of the smart tablet device, and the smart tablet devices corresponding to different logistics companies can be managed respectively. In another situation, goods or packages are generally classified due to different sizes and types of the goods or packages, correspondingly, intelligent tablet devices used for collecting logistics information of the goods or packages of different types are different, and the working performance, hardware level and installation and application types of the intelligent tablet devices are different. Therefore, in this embodiment, the corresponding smart tablet devices are grouped according to the cargo type, and the smart tablet devices corresponding to different types of cargos can be managed respectively. After the group management, the server can issue and install corresponding applications to the intelligent device according to the groups. Similarly, for example, different logistics companies correspond to different types of intelligent devices, and the intelligent devices may have application differences, that is, goods corresponding to different logistics companies need to be identified by different applications.
According to the intelligent equipment management method and device, intelligent equipment application installation can be managed through grouping management of the intelligent equipment, and applications corresponding to intelligent equipment installation of different groups are facilitated, so that excessive applications or useless applications are avoided being installed on the intelligent equipment, and the intelligent equipment system is prevented from running slowly from the perspective of accurately controlling application installation. Specifically, the server may distribute the applications to the smart devices in groups, may be installed forcibly, and may also be installed by a user selection, which is not limited herein.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an intelligent device management system based on the internet of things according to a third embodiment of the present invention, where the management system is applicable to the management of intelligent devices in the internet of things in the industrial fields such as logistics, and the management system may be implemented by software and/or hardware, and specifically, the management system may include a server and at least two intelligent devices. As shown in fig. 4, in the management system, the intelligent device 10 includes a monitoring upload module 11, where the monitoring upload module 11 is configured to monitor and upload operation information and device configuration parameter information to the server 20;
the server 20 includes a policy management module 21, where the policy management module 21 is configured to configure multiple system optimization policies, and is further configured to issue at least one system optimization policy to the intelligent device 10 according to the operation information and the device configuration parameter information of the intelligent device 10, so that the intelligent device 10 performs system optimization according to the issued system optimization policy.
In the embodiment of the present invention, the multiple system optimization policies configured by the policy management module 21 may specifically include a risk alarm policy, where the risk alarm policy includes:
and when at least one of the memory utilization rate reaching the upper risk limit, the storage utilization rate reaching the upper risk limit and the central processing unit utilization rate reaching the upper risk limit is met, triggering an alarm action.
Further, the risk alarm policy may further include:
after the alarm action is triggered, the intelligent device executes at least one of ending the application process, clearing the garbage data or recovering the factory setting.
Still further, the risk alert policy further comprises:
and after the intelligent equipment executes factory reset, pre-installing the application.
Optionally, the risk alert policy may further include:
after the alarm action is triggered, the intelligent device uploads alarm triggering information to the server.
In addition, the various system optimization policies configured by the policy management module 21 may further include an application weight policy, where applying the weight policy includes:
configuring the weight of at least part of applications in the intelligent device;
and when the memory utilization rate reaches a preset threshold value, ending the process of at least part of the applications which are not configured with the weight or have smaller weight.
The various system optimization policies configured by the policy management module 21 may further include a blacklist and whitelist policy, where the blacklist and whitelist policy includes:
and configuring a black list and/or a white list of at least part of applications in the intelligent equipment.
With continued reference to fig. 4, in an embodiment of the present invention, the further optional server 20 further includes a grouping module 22, the grouping module 22 is configured to group manage the plurality of smart devices 10 to form at least two smart device groups; policy management module 21 is configured to configure a corresponding plurality of system optimization policies for different smart devices 10.
In addition, it is to be added that the smart device 10 may further include a policy detection module 12, a policy execution module 13, and an exception reporting module 14. The policy detection module 12 is configured to detect various system optimization policies issued by the server 20, so as to distinguish different optimization policies. The policy executing module 13 is configured to start various system optimization policies, and execute the system optimization when the smart device 10 meets the trigger condition of the optimization policy. The exception reporting module 14 is a module responsible for providing alarm information to the server 20 when the risk alarm policy is triggered. The server 20 may further include an equipment query module 23 and an alarm module 24, where the equipment query module 23 is responsible for providing a query window to an administrator at the server side after the intelligent device 10 provides the server 20 with the equipment information, so as to facilitate the administrator to obtain the operation information and the equipment configuration parameter information. The alarm module 24 is actually a module for providing alarm information to the server 20 when the intelligent device 10 triggers the risk alarm policy, and the server side performs alarm, and the module is used for prompting the manager so that the manager performs overall management on the intelligent device 10.
In the intelligent device management system based on the internet of things provided by the third embodiment of the invention, the intelligent device comprises a monitoring uploading module, a monitoring module and a configuration module, wherein the monitoring uploading module is used for monitoring and uploading operation information and device configuration parameter information to a server; the server comprises a strategy management module used for configuring various system optimization strategies and issuing at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy. The embodiment of the invention solves the problem that the intelligent equipment in the Internet of things is easy to cause slow system operation due to equipment storage and memory exhaustion, and the intelligent equipment is enabled to realize the optimization of the system by adopting different modes from different angles by configuring various system optimization strategies through the server and issuing the system optimization strategies to the intelligent equipment and triggering and executing the corresponding system optimization strategies by the intelligent equipment, thereby effectively solving the problem of slow system operation. In addition, the embodiment of the invention not only realizes the remote equipment management of the server, but also ensures that different intelligent equipment can be effectively optimized, solves the problem of high availability of industrial equipment in the using process, and improves the stability and maintainability of the whole Internet of things system.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. The intelligent equipment management method based on the Internet of things is applied to an intelligent equipment management system based on the Internet of things, the management system comprises a server and at least two intelligent equipment, and the management method comprises the following steps:
the intelligent equipment monitors and uploads operation information and equipment configuration parameter information to the server;
the server configures a plurality of system optimization strategies;
and the server issues at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment, so that the intelligent equipment performs system optimization according to the issued system optimization strategy.
2. The management method according to claim 1, wherein before the smart device monitors and uploads the operation information and the device configuration parameter information to the server, the management method further comprises:
the server manages a plurality of intelligent devices in groups to form at least two intelligent device groups;
the server configures a plurality of system optimization strategies, including:
and the server configures various corresponding system optimization strategies for different intelligent equipment groups.
3. The management method according to claim 1,
the plurality of system optimization strategies includes risk alert strategies including:
and when at least one of the memory utilization rate reaching the upper risk limit, the storage utilization rate reaching the upper risk limit and the central processing unit utilization rate reaching the upper risk limit is met, triggering an alarm action.
4. The method of managing of claim 3, wherein the risk alert policy further comprises:
and after the alarm action is triggered, the intelligent equipment executes at least one of ending the application process, clearing junk data or recovering factory settings.
5. The method of managing of claim 4, wherein the risk alert policy further comprises:
and after the intelligent equipment executes factory reset, pre-installing the application.
6. The method of managing of claim 3, wherein the risk alert policy further comprises:
after the alarm action is triggered, the intelligent equipment uploads alarm triggering information to the server.
7. The management method according to claim 1,
the plurality of system optimization strategies includes applying weight strategies, the applying weight strategies including:
configuring the weight of at least part of the application in the intelligent device;
and when the memory utilization rate reaches a preset threshold value, ending the process of at least part of the applications which are not configured with the weight or have smaller weight.
8. The method of claim 1, wherein the plurality of system optimization policies includes a blacklist policy, the blacklist policy including:
and configuring a blacklist and/or a white list of at least part of applications in the intelligent equipment.
9. An intelligent device management system based on the Internet of things is characterized by comprising a server and at least two intelligent devices;
the intelligent equipment comprises a monitoring uploading module, and the monitoring uploading module is used for monitoring and uploading operation information and equipment configuration parameter information to the server;
the server comprises a strategy management module, wherein the strategy management module is used for configuring various system optimization strategies and is also used for issuing at least one system optimization strategy to the intelligent equipment according to the operation information and the equipment configuration parameter information of the intelligent equipment so as to enable the intelligent equipment to carry out system optimization according to the issued system optimization strategy.
10. The management system of claim 9, wherein the server further comprises a grouping module for grouping and managing a plurality of the smart devices to form at least two smart device groups;
the policy management module is used for configuring various corresponding system optimization policies for different intelligent devices.
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| CN114168166A (en) * | 2022-02-11 | 2022-03-11 | 杭州斯诺康技术有限公司 | Installation configuration method and system of indoor intelligent wireless access equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012009929A1 (en) * | 2010-07-22 | 2012-01-26 | 中兴通讯股份有限公司 | Abnormality alarm method and service node for intelligent home system |
| CN104503887A (en) * | 2014-12-15 | 2015-04-08 | 北京奇虎科技有限公司 | Method and device for showing state of computing equipment |
| CN104732285A (en) * | 2013-12-19 | 2015-06-24 | 中兴通讯股份有限公司 | Performance optimizing strategy obtaining and terminal performance optimizing method, server and terminal |
| CN107302449A (en) * | 2017-06-13 | 2017-10-27 | 中国工商银行股份有限公司 | Intelligent monitoring statistics and alarm processing system and method |
| CN107783835A (en) * | 2016-08-31 | 2018-03-09 | 中国电信股份有限公司 | System optimization method and device |
| CN112637683A (en) * | 2020-12-07 | 2021-04-09 | 青岛海信传媒网络技术有限公司 | Display equipment system optimization method and display equipment |
-
2021
- 2021-08-31 CN CN202111013273.6A patent/CN113741957A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012009929A1 (en) * | 2010-07-22 | 2012-01-26 | 中兴通讯股份有限公司 | Abnormality alarm method and service node for intelligent home system |
| CN104732285A (en) * | 2013-12-19 | 2015-06-24 | 中兴通讯股份有限公司 | Performance optimizing strategy obtaining and terminal performance optimizing method, server and terminal |
| CN104503887A (en) * | 2014-12-15 | 2015-04-08 | 北京奇虎科技有限公司 | Method and device for showing state of computing equipment |
| CN107783835A (en) * | 2016-08-31 | 2018-03-09 | 中国电信股份有限公司 | System optimization method and device |
| CN107302449A (en) * | 2017-06-13 | 2017-10-27 | 中国工商银行股份有限公司 | Intelligent monitoring statistics and alarm processing system and method |
| CN112637683A (en) * | 2020-12-07 | 2021-04-09 | 青岛海信传媒网络技术有限公司 | Display equipment system optimization method and display equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114168166A (en) * | 2022-02-11 | 2022-03-11 | 杭州斯诺康技术有限公司 | Installation configuration method and system of indoor intelligent wireless access equipment |
| CN114168166B (en) * | 2022-02-11 | 2022-05-24 | 杭州斯诺康技术有限公司 | Installation configuration method and system of indoor intelligent wireless access equipment |
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