CN110473354A - A kind of cloud mobile phone optimal selection method, system, device and storage medium - Google Patents
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Abstract
The invention discloses a kind of cloud mobile phone optimal selection method, system, device and storage medium, the method includes the steps: several performance indicators of interval acquiring cloud mobile phone to be allocated at preset timed intervals；According to performance indicator described in several, cloud mobile phone to be allocated is subjected to grade classification；Applied according to user, grade highest is selected from cloud mobile phone to be allocated and the available cloud handset allocation of state is to user.Several described performance indicators include hard disk, memory, load, temperature and CPU usage.The present invention first obtains the performance indicator of cloud mobile phone to be allocated, then grade classification is carried out to cloud mobile phone to be allocated according to performance indicator, again by cloud mobile phone middle grade highest to be allocated and available cloud handset allocation is to application user, it avoids the lower cloud handset allocation of performance in prior art random assignment process to application user, improves user's physical examination.The invention can be widely applied to cloud handset allocation technical field.
Description
Technical Field
The invention relates to the technical field of cloud mobile phone distribution, in particular to a cloud mobile phone preferred distribution method, a system, a device and a storage medium.
Background
When the cloud mobile phone hosted in the computer room is not rented by the user any more, the cloud mobile phone can be recycled. The recovery process in the prior art comprises the following steps: and when a new user applies, a normally available cloud mobile phone is randomly selected from the cloud mobile phone pool to be allocated to the user according to the state conditions of starting, unbound, online, fault-free and the like of the cloud mobile phone. In the random allocation process, part of cloud mobile phones with low performance may be allocated to users, which affects user experience.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method, a system, an apparatus, and a storage medium for preferred allocation of a cloud phone. According to the invention, the cloud mobile phone with better performance is preferentially distributed to the user, so that the user experience is improved.
In a first aspect, an embodiment of the present invention provides a cloud mobile phone preferred allocation method, including the following steps:
acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to a preset time interval;
according to the plurality of individual performance indexes, grading the cloud mobile phones to be distributed;
acquiring a lease request;
and according to the lease request, selecting the cloud mobile phones with the highest grade and available states from the cloud mobile phones to be allocated to the requesting party initiating the lease request.
Preferably, the acquiring a plurality of personal performance indexes of the cloud mobile phone to be distributed according to a preset time interval includes the steps of:
reading a list of cloud mobile phones to be distributed according to a preset time interval;
acquiring a machine room to which the cloud mobile phone to be distributed belongs according to the list;
and detecting a plurality of performance indexes of the cloud mobile phone to be distributed according to the machine room.
Preferably, the acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to the preset time interval includes the steps of:
and acquiring a plurality of individual performance indexes reported by the cloud mobile phone to be distributed according to a preset time interval.
Preferably, the grading the cloud mobile phone to be distributed according to the plurality of personal performance indexes includes:
according to a division standard preset by the plurality of individual performance indexes, performing grade division on the plurality of performance indexes respectively;
and taking the lowest grade in the plurality of performance indexes as the grade of the cloud mobile phone to be distributed.
Preferably, the plurality of individual performance indicators include a hard disk, a memory, a load, a temperature, and a CPU utilization.
Preferably, the cloud mobile phone preferred allocation method further includes the steps of:
resetting the cloud mobile phone which finishes renting and carrying out availability detection;
and if the availability detection is passed, marking the cloud mobile phone as the cloud mobile phone to be distributed.
In a second aspect, an embodiment of the present invention provides a cloud mobile phone preferred allocation system, including:
the performance acquisition module is used for acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to a preset time interval;
the grading module is used for grading the cloud mobile phone to be distributed according to the plurality of individual performance indexes;
the request acquisition module is used for acquiring a lease request;
and the distribution module is used for selecting the cloud mobile phone with the highest grade and available state from the cloud mobile phones to be distributed to the requesting party initiating the renting request according to the renting request.
In a third aspect, an embodiment of the present invention provides a cloud mobile phone preferred allocation apparatus, including:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement the cloud handset preferred allocation method.
In a fourth aspect, an embodiment of the present invention provides a storage medium, in which processor-executable instructions are stored, and when executed by a processor, the processor-executable instructions are configured to perform the cloud mobile phone preferred allocation method.
In a fifth aspect, an embodiment of the present invention provides a cloud mobile phone preferential allocation system, including an android device and a computer device connected to the android device; wherein,
the android device is used for providing a cloud mobile phone;
the computer device includes:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by the at least one processor, the at least one processor is caused to implement the cloud handset preferred allocation method.
The implementation of the embodiment of the invention has the following beneficial effects: according to the cloud mobile phone distribution method and the cloud mobile phone distribution system, the performance indexes of the cloud mobile phones to be distributed are obtained firstly, then the cloud mobile phones to be distributed are graded according to the performance indexes, and the cloud mobile phones with the highest grade and available in the cloud mobile phones to be distributed are distributed to the application users, so that the cloud mobile phones with lower performance are prevented from being distributed to the application users in the random distribution process in the prior art, and the user physical examination is improved.
Drawings
Fig. 1 is a schematic flowchart illustrating steps of a preferred allocation method for a cloud mobile phone according to an embodiment of the present invention;
fig. 2 is a block diagram of a preferred distribution system of a cloud mobile phone according to an embodiment of the present invention;
fig. 3 is a block diagram of a preferred allocation apparatus for a cloud mobile phone according to an embodiment of the present invention;
fig. 4 is a block diagram of another preferred distribution system for cloud handsets according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the specific embodiments. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
As shown in fig. 1, an embodiment of the present invention provides a cloud mobile phone preferred allocation method, including the following steps:
s1, acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to a preset time interval;
s2, grading the cloud mobile phones to be distributed according to the plurality of individual performance indexes;
s3, acquiring a lease request;
and S4, according to the lease request, selecting the cloud mobile phones with the highest grade and available states from the cloud mobile phones to be allocated to the requesting party initiating the lease request.
Specifically, since the performance index of the cloud handset to be allocated is not always constant and may change with time, in order to ensure the accuracy of the acquired performance index, the acquisition is performed continuously at a certain time interval, which is generally set to be a few minutes, for example, once every 5 minutes or 3 minutes. The cloud mobile phone to be distributed has a plurality of performance indexes, the grade of each performance index may be different, and the grade of the cloud mobile phone to be distributed is comprehensively considered according to the plurality of performance indexes, so that subsequent distribution is facilitated. The available states refer to enabled, unbound, unprocessed fault work orders, started, out of maintenance and online states of the cloud mobile phones to be allocated, and when a user applies for the cloud mobile phones to be used, the cloud mobile phones to be allocated with the highest level and available states are randomly selected and allocated to the user. And when the user applies for the cloud mobile phone, the cloud mobile phone is distributed and other operation support services are provided.
The implementation of the embodiment of the invention has the following beneficial effects: according to the cloud mobile phone distribution method and the cloud mobile phone distribution system, the performance indexes of the cloud mobile phones to be distributed are obtained firstly, then the cloud mobile phones to be distributed are graded according to the performance indexes, and then the cloud mobile phones with the highest grade and available in the cloud mobile phones to be distributed are distributed to the application users, so that the cloud mobile phones with lower performance are prevented from being distributed to the application users in the random distribution process in the prior art, and the user physical examination is improved.
Preferably, the acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to the preset time interval includes the steps of:
s11, reading a list of cloud mobile phones to be distributed according to a preset time interval;
s12, obtaining a machine room to which the cloud mobile phone to be distributed belongs according to the list;
and S13, detecting a plurality of performance indexes of the cloud mobile phone to be distributed according to the machine room to which the cloud mobile phone belongs.
As an alternative embodiment, the obtaining of the performance index of the cloud mobile phone to be allocated according to the preset time interval may also be implemented by step S11':
s11', according to the preset time interval, obtaining the performance index reported by the cloud mobile phone to be distributed.
Specifically, there are two ways to obtain the performance index of the mobile phone to be allocated: an active detection mode or a passive reception mode. The specific method of the active detection mode comprises the following steps: reading a list of cloud mobile phones to be distributed according to a preset time interval; finding out a machine room to which the cloud mobile phone belongs according to the cloud mobile phone codes in the list; and in a machine room to which the cloud mobile phone belongs, linking a shell script into the cloud mobile phone to obtain data such as the current performance index of the cloud mobile phone, wherein the shell script is a program language in the unix/linux system. The specific method of the passive receiving mode is as follows: the cloud mobile phone is used for carrying out full data reporting monitoring, the performance index is obtained from the reported monitoring data, the performance index is not required to be obtained by the active monitoring of the cloud mobile phone, but the storage and operation memory is larger than that required by an active detection mode.
Preferably, the grading the cloud mobile phone to be distributed according to the plurality of personal performance indexes includes:
s21, respectively carrying out grade division on the performance indexes according to division standards preset by the performance indexes;
and S22, taking the lowest grade in the performance indexes as the grade of the cloud mobile phone to be distributed.
Preferably, the plurality of individual performance indicators include a hard disk, a memory, a load, a temperature, and a CPU utilization.
Specifically, the performance indexes of the cloud mobile phone to be distributed are multiple, and the performance indexes for grading in the application include a hard disk, a memory, a load, a temperature and a CPU utilization rate. As shown in Table I: and (5) the performance index grade rule of the cloud mobile phone to be distributed.
Watch 1
In the table i, each performance index is divided into 4 levels of a/B/C/D, and a division standard of each level is determined, for example, when a remaining memory of a cloud mobile phone with a hard disk of 32G capacity is 18G, the cloud mobile phone is marked as a level a, when the current remaining memory of the cloud mobile phone with hardware of 8G running memory is greater than 5G, the cloud mobile phone is marked as a level a, a load is lower than 1, the load refers to a busy degree of a system CPU, a level a is marked when a temperature is lower than 50 ℃, and a level a is marked when a usage rate of the CPU is lower than 40. In the first table, the hard disk and the memory include two specification judgment rules, and one specification of the hard disk and the memory is selected in practical application. The ranking rule in table one is only a reference, and can be set according to specific situations in practical application. When the levels of all the performance indexes are A, the cloud mobile phone to be distributed is A, and the priority distribution level is 1; when the levels of the performance indexes are different, the lowest level of the performance indexes is marked as the level of the cloud mobile phone to be distributed, for example, a hard disk and a memory of a certain cloud mobile phone to be distributed are marked as the level B, the load, the temperature and the CPU utilization rate are marked as the level A, and the level of the cloud mobile phone to be distributed is marked as the level B.
Preferably, the cloud mobile phone preferred allocation method further includes the steps of:
resetting the cloud mobile phone which finishes renting and carrying out availability detection;
and if the availability detection is passed, marking the cloud mobile phone as the cloud mobile phone to be distributed.
Specifically, when the cloud mobile phone is not relegated any more, the cloud mobile phone is reset, previous data are cleared, availability detection is carried out, if the availability detection is passed, the cloud mobile phone is placed into a to-be-allocated mobile phone pool and marked as the to-be-allocated cloud mobile phone, the grade of the to-be-allocated mobile phone is not calibrated at the moment, and the to-be-allocated mobile phone is calibrated when waiting for the next detection or acquired when reporting next time.
As shown in fig. 2, an embodiment of the present invention provides a cloud mobile phone preferred allocation system, including:
the performance acquisition module is used for acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to a preset time interval;
the grading module is used for grading the cloud mobile phone to be distributed according to the plurality of individual performance indexes;
the request acquisition module is used for acquiring a lease request;
and the distribution module is used for selecting the cloud mobile phone with the highest grade and available state from the cloud mobile phones to be distributed to the requesting party initiating the lease request according to the lease request.
Preferably, the performance obtaining module includes:
the reading unit is used for reading a list of the cloud mobile phones to be distributed according to a preset time interval;
a machine room obtaining unit, configured to obtain, according to the list, a machine room to which the cloud mobile phone to be distributed belongs;
and the detection unit is used for detecting a plurality of performance indexes of the cloud mobile phone to be distributed according to the machine room to which the detection unit belongs.
Preferably, the performance obtaining module includes:
and the reporting unit is used for acquiring a plurality of individual performance indexes reported by the cloud mobile phone to be distributed according to a preset time interval.
Preferably, the ranking module includes:
the index grading unit is used for grading the performance indexes according to a preset grading standard of the performance indexes;
and the grade division unit of the cloud mobile phone to be distributed is used for taking the lowest grade in the plurality of performance indexes as the grade of the cloud mobile phone to be distributed.
It can be seen that the contents in the foregoing method embodiments are all applicable to this system embodiment, the functions specifically implemented by this system embodiment are the same as those in the foregoing method embodiment, and the advantageous effects achieved by this system embodiment are also the same as those achieved by the foregoing method embodiment.
As shown in fig. 3, an embodiment of the present invention further provides a cloud mobile phone preferred allocation apparatus, including:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the cloud handset preferred allocation method.
It can be seen that the contents in the foregoing method embodiments are all applicable to this apparatus embodiment, the functions specifically implemented by this apparatus embodiment are the same as those in the foregoing method embodiment, and the advantageous effects achieved by this apparatus embodiment are also the same as those achieved by the foregoing method embodiment.
In addition, the embodiment of the present invention further provides a storage medium, in which processor-executable instructions are stored, and when the processor-executable instructions are executed by a processor, the processor-executable instructions are used for executing the cloud mobile phone preferred allocation method steps. Likewise, the contents of the above method embodiments are all applicable to the present storage medium embodiment, the functions specifically implemented by the present storage medium embodiment are the same as those of the above method embodiments, and the advantageous effects achieved by the present storage medium embodiment are also the same as those achieved by the above method embodiments.
As shown in fig. 4, an embodiment of the present invention further provides a cloud mobile phone preferential allocation system, which includes an android device and a computer device connected to the android device; wherein,
the android device is used for providing a cloud mobile phone;
the computer device includes:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the cloud handset preferred allocation method.
Specifically, the android device is mainly used for providing a cloud mobile phone; the computer device may be different types of electronic devices, including but not limited to a desktop computer, a laptop computer, and other terminals.
It can be seen that the contents in the foregoing method embodiments are all applicable to this system embodiment, the functions specifically implemented by this system embodiment are the same as those in the foregoing method embodiment, and the advantageous effects achieved by this system embodiment are also the same as those achieved by the foregoing method embodiment.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A cloud mobile phone preferred allocation method is characterized by comprising the following steps:
acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to a preset time interval;
according to the plurality of individual performance indexes, grading the cloud mobile phones to be distributed;
acquiring a lease request;
and according to the lease request, selecting the cloud mobile phones with the highest grade and available states from the cloud mobile phones to be allocated to the requesting party initiating the lease request.
2. The cloud mobile phone preferred allocation method according to claim 1, wherein the obtaining of the plurality of individual performance indicators of the cloud mobile phone to be allocated at preset time intervals comprises:
reading a list of cloud mobile phones to be distributed according to a preset time interval;
acquiring a machine room to which the cloud mobile phone to be distributed belongs according to the list;
and detecting a plurality of performance indexes of the cloud mobile phone to be distributed according to the machine room.
3. The cloud mobile phone preferred allocation method according to claim 1, wherein the obtaining of the plurality of individual performance indicators of the cloud mobile phone to be allocated at preset time intervals comprises:
and acquiring a plurality of individual performance indexes reported by the cloud mobile phone to be distributed according to a preset time interval.
4. The method for preferentially distributing cloud mobile phones according to claim 1, wherein the step of ranking the cloud mobile phones to be distributed according to the plurality of individual performance indexes comprises the steps of:
according to a division standard preset by the plurality of individual performance indexes, performing grade division on the plurality of performance indexes respectively;
and taking the lowest grade in the plurality of performance indexes as the grade of the cloud mobile phone to be distributed.
5. The method for preferentially distributing the cloud mobile phones according to any one of claims 1 to 4, wherein the plurality of individual performance indexes comprise a hard disk, a memory, a load, a temperature and a CPU utilization rate.
6. The cloud mobile phone preferred allocation method according to claim 1, further comprising the steps of:
resetting the cloud mobile phone which finishes renting and carrying out availability detection;
and if the availability detection is passed, marking the cloud mobile phone as the cloud mobile phone to be distributed.
7. A cloud mobile phone preferential distribution system is characterized by comprising:
the performance acquisition module is used for acquiring a plurality of individual performance indexes of the cloud mobile phone to be distributed according to a preset time interval;
the grading module is used for grading the cloud mobile phone to be distributed according to the plurality of individual performance indexes;
the request acquisition module is used for acquiring a lease request;
and the allocation module is used for selecting the cloud mobile phone with the highest grade and available state from the cloud mobile phones to be allocated to allocate the requester for initiating the lease request according to the lease request.
8. A cloud mobile phone preferred distribution device is characterized by comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement a cloud handset preferred allocation method as claimed in any one of claims 1 to 6.
9. A storage medium having stored therein processor-executable instructions, which when executed by a processor, are configured to perform a method of cloud handset preferential allocation according to any one of claims 1-6.
10. A cloud mobile phone preferential distribution system is characterized by comprising android equipment and computer equipment connected with the android equipment; wherein,
the android device is used for providing a cloud mobile phone;
the computer device includes:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement a cloud handset preferred allocation method as claimed in any one of claims 1 to 6.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111031596A (en) * | 2019-12-24 | 2020-04-17 | 广州微算互联信息技术有限公司 | Method, system, device and storage medium for saving electricity of cloud mobile phone through control state |
| CN111083237A (en) * | 2019-12-31 | 2020-04-28 | 北京云派网络科技有限公司 | Cloud mobile phone distribution system and method |
| CN111083270A (en) * | 2019-12-06 | 2020-04-28 | 广州微算互联信息技术有限公司 | Method, system and device for customer service system to automatically acquire cloud mobile phone state and storage medium |
| CN113163216A (en) * | 2020-01-22 | 2021-07-23 | 华为技术有限公司 | Live broadcast method and live broadcast system based on cloud mobile phone |
| CN113472956A (en) * | 2021-09-03 | 2021-10-01 | 北京健康之家科技有限公司 | Cloud mobile phone management method and device |
| CN113590141A (en) * | 2021-07-30 | 2021-11-02 | 北京百度网讯科技有限公司 | Method, apparatus, medium, and program product for distributing cloud phone |
| CN113704063A (en) * | 2021-08-26 | 2021-11-26 | 北京百度网讯科技有限公司 | Performance monitoring method, device, equipment and storage medium of cloud mobile phone |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102363361A (en) * | 2011-10-26 | 2012-02-29 | 广东金明精机股份有限公司 | Handpiece of multi-layer co-extrusion blow molding machine |
| US20170091683A1 (en) * | 2015-09-30 | 2017-03-30 | Wal-Mart Stores, Inc. | Database system for distribution center fulfillment capacity availability tracking and method therefor |
| CN107846316A (en) * | 2017-11-06 | 2018-03-27 | 湖南红手指信息技术有限公司 | A kind of cloud cell phone managing system and its abnormality eliminating method |
| CN108510375A (en) * | 2018-04-20 | 2018-09-07 | 重庆凯务电子商务有限公司 | Online commodity shopping analysis system |
| CN109102090A (en) * | 2017-06-20 | 2018-12-28 | 宁波轩悦行电动汽车服务有限公司 | It is hired a car system and method based on vehicle performance distribution and the matched reservation of dynamic circuit |
| CN109102638A (en) * | 2017-06-20 | 2018-12-28 | 宁波轩悦行电动汽车服务有限公司 | The power supply self-balance method of electric car leasing system |
| JP6462481B2 (en) * | 2015-04-28 | 2019-01-30 | 日本電信電話株式会社 | Skill evaluation apparatus, skill evaluation method, program, and recording medium |
-
2019
- 2019-07-31 CN CN201910698349.XA patent/CN110473354A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102363361A (en) * | 2011-10-26 | 2012-02-29 | 广东金明精机股份有限公司 | Handpiece of multi-layer co-extrusion blow molding machine |
| JP6462481B2 (en) * | 2015-04-28 | 2019-01-30 | 日本電信電話株式会社 | Skill evaluation apparatus, skill evaluation method, program, and recording medium |
| US20170091683A1 (en) * | 2015-09-30 | 2017-03-30 | Wal-Mart Stores, Inc. | Database system for distribution center fulfillment capacity availability tracking and method therefor |
| CN109102090A (en) * | 2017-06-20 | 2018-12-28 | 宁波轩悦行电动汽车服务有限公司 | It is hired a car system and method based on vehicle performance distribution and the matched reservation of dynamic circuit |
| CN109102638A (en) * | 2017-06-20 | 2018-12-28 | 宁波轩悦行电动汽车服务有限公司 | The power supply self-balance method of electric car leasing system |
| CN107846316A (en) * | 2017-11-06 | 2018-03-27 | 湖南红手指信息技术有限公司 | A kind of cloud cell phone managing system and its abnormality eliminating method |
| CN108510375A (en) * | 2018-04-20 | 2018-09-07 | 重庆凯务电子商务有限公司 | Online commodity shopping analysis system |
Non-Patent Citations (1)
| Title |
|---|
| 李敏嫦: "浅谈木桶理论对产品设计开发的启示", 《工业设计》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111083270A (en) * | 2019-12-06 | 2020-04-28 | 广州微算互联信息技术有限公司 | Method, system and device for customer service system to automatically acquire cloud mobile phone state and storage medium |
| CN111031596A (en) * | 2019-12-24 | 2020-04-17 | 广州微算互联信息技术有限公司 | Method, system, device and storage medium for saving electricity of cloud mobile phone through control state |
| CN111083237A (en) * | 2019-12-31 | 2020-04-28 | 北京云派网络科技有限公司 | Cloud mobile phone distribution system and method |
| CN113163216A (en) * | 2020-01-22 | 2021-07-23 | 华为技术有限公司 | Live broadcast method and live broadcast system based on cloud mobile phone |
| CN113163216B (en) * | 2020-01-22 | 2023-08-22 | 华为云计算技术有限公司 | Live broadcast method and live broadcast system based on cloud mobile phone |
| CN113590141A (en) * | 2021-07-30 | 2021-11-02 | 北京百度网讯科技有限公司 | Method, apparatus, medium, and program product for distributing cloud phone |
| CN113590141B (en) * | 2021-07-30 | 2023-08-01 | 北京百度网讯科技有限公司 | Method, device, medium and program product for distributing cloud mobile phone |
| CN113704063A (en) * | 2021-08-26 | 2021-11-26 | 北京百度网讯科技有限公司 | Performance monitoring method, device, equipment and storage medium of cloud mobile phone |
| CN113704063B (en) * | 2021-08-26 | 2024-05-14 | 北京百度网讯科技有限公司 | Performance monitoring method, device, equipment and storage medium of cloud mobile phone |
| CN113472956A (en) * | 2021-09-03 | 2021-10-01 | 北京健康之家科技有限公司 | Cloud mobile phone management method and device |
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Application publication date: 20191119 |