CN112684800A - Self-checking feedback method, self-checking feedback system and intelligent mower - Google Patents
Self-checking feedback method, self-checking feedback system and intelligent mower Download PDFInfo
- Publication number
- CN112684800A CN112684800A CN202011544801.6A CN202011544801A CN112684800A CN 112684800 A CN112684800 A CN 112684800A CN 202011544801 A CN202011544801 A CN 202011544801A CN 112684800 A CN112684800 A CN 112684800A
- Authority
- CN
- China
- Prior art keywords
- self
- module
- checking
- machine
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000002159 abnormal effect Effects 0.000 claims abstract description 40
- 238000012423 maintenance Methods 0.000 claims abstract description 24
- 230000005856 abnormality Effects 0.000 claims abstract description 10
- 238000012360 testing method Methods 0.000 claims description 49
- 238000001514 detection method Methods 0.000 claims description 32
- 238000004891 communication Methods 0.000 claims description 11
- 230000007488 abnormal function Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 230000017525 heat dissipation Effects 0.000 description 2
- 230000007257 malfunction Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000010408 sweeping Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 238000009966 trimming Methods 0.000 description 1
Images
Landscapes
- Harvester Elements (AREA)
Abstract
The invention provides a self-checking feedback method, a self-checking feedback system and an intelligent mower, wherein the self-checking feedback method comprises the following steps: self-checking a functional module of the machine to obtain self-checking result information; judging whether the functional module is abnormal or not according to the self-checking result information; and if the functional module is abnormal, generating corresponding fault information and sending the fault information to the user terminal. Compared with the prior art, the self-checking feedback method can timely find the abnormality of the functional module, actively push the fault information to the user and inform the user of timely maintenance.
Description
Technical Field
The invention relates to a self-checking feedback method, a self-checking feedback system and an intelligent mower with the self-checking feedback system.
Background
The intelligent lawn mower is a robot garden tool for maintaining a lawn, can autonomously complete lawn trimming work, and does not need direct control and operation of a user, so that the workload of the user is greatly reduced. As the usage time of the smart lawn mower increases, the smart lawn mower may malfunction, for example: the collision detection module, the lifting detection module and the like are in failure, so that the normal work cannot be realized. However, when the existing intelligent lawn mower fails, the intelligent lawn mower cannot actively remind the user in time. Only when the user finds that the corresponding function of intelligent lawn mower is abnormal, can find that intelligent lawn mower breaks down, need the maintenance. For example, when the collision detection module is abnormal, it is difficult for the user to know in time. Only if the user finds that the smart lawn mower cannot circumvent the obstacle will it be recognized that the collision detection module may malfunction. For another example, when the lift detection module fails, the user is unaware. Only when the user lifts the smart mower and finds that the smart mower does not stop working will it be recognized that the lift detection module is malfunctioning. However, since the intelligent lawn mower is not stopped when lifted, it may cause a safety hazard to the user.
In view of the above problems, it is desirable to provide a self-test feedback method to solve the above problems.
Disclosure of Invention
The invention aims to provide a self-checking feedback method which can find out the abnormality of a functional module in time, actively push fault information to a user and inform the user of timely maintenance.
In order to achieve the above object, the present invention provides a self-checking feedback method, including: self-checking a functional module of the machine to obtain self-checking result information; judging whether the functional module is abnormal or not according to the self-checking result information; and if the functional module is abnormal, generating corresponding fault information and sending the fault information to the user terminal.
As a further improvement of the invention, the functional module comprises at least one of a collision detection module, a lifting detection module, a power supply module, a driving module, a mowing module, a charging module and a walking module.
As a further improvement of the invention, the self-checking feedback method carries out self-checking on the functional module of the machine according to the self-checking time parameter.
As a further improvement of the present invention, the self-test feedback method performs self-test on the functional module of the machine immediately after the machine is powered on.
As a further improvement of the present invention, when the self-checking feedback method first determines that the function module of the machine is abnormal, the self-checking feedback method performs self-checking on the function module of the machine again, and obtains information of a second self-checking result; and if the first self-checking result information of the functional module is the same as the second self-checking result information, generating corresponding fault information and sending the fault information to the user terminal.
As a further improvement of the present invention, the self-checking feedback method ranks the fault information; if the fault information is of a first type, controlling the machine to restart; and if the fault information is of the second type, sending the fault information to the user terminal.
As a further improvement of the present invention, after the machine is restarted, the functional module of the machine is self-checked again, and second self-check result information is obtained; judging whether the functional module of the machine is still abnormal or not according to the second self-checking result information; and if the abnormality still exists, generating corresponding fault information and sending the fault information to the user terminal.
As a further improvement of the present invention, the self-test feedback method further includes the following steps: positioning a machine to acquire position information of the machine; and the control unit pushes the maintenance points to the user terminal according to the position information and the fault information.
The invention also discloses a self-checking feedback system, which comprises a self-checking unit, wherein the self-checking unit is used for self-checking the functional module of the machine and acquiring self-checking result information; the control unit judges whether the function module of the machine is abnormal or not according to the self-checking result information; if the functional module is abnormal, generating corresponding fault information; and a communication unit that transmits the failure information to the user terminal.
As a further improvement of the invention, the functional module comprises at least one of a collision detection module, a lifting detection module, a power supply module, a driving module, a mowing module, a charging module and a walking module.
As a further improvement of the present invention, the self-checking unit performs self-checking on the functional module of the machine according to a self-checking time parameter.
As a further improvement of the present invention, after the control unit determines that the function module of the machine is abnormal, the control unit controls the self-checking unit to perform self-checking on the function module again to obtain second self-checking result information; and if the control unit still judges that the functional module is abnormal according to the second self-checking result information, generating corresponding fault information.
As a further improvement of the present invention, the self-test feedback system further comprises a grading unit; the grade dividing unit is used for dividing the fault information into grades; if the fault information is of a first type, the control unit controls the machine to restart; and if the fault information is of the second type, controlling the communication unit to send the fault information to the user terminal.
As a further improvement of the present invention, after the machine is restarted, the control unit controls the self-checking unit to perform self-checking on the functional module of the machine again, and obtains information of a second self-checking result; and if the control unit still judges that the functional module is abnormal according to the second self-checking result information, generating corresponding fault information.
As a further improvement of the present invention, the self-checking feedback system further includes a positioning unit for acquiring position information of the machine; and the control unit selects a maintenance point according to the fault information and the position information and pushes the maintenance point to the user terminal through the communication unit.
The invention also discloses an intelligent mower, comprising: the collision detection module is used for detecting whether the intelligent mower collides; a lift detection module to detect whether the smart lawn mower is lifted; a mowing module to perform a mowing function of the lawn mower; a walking module to perform a self-walking function of the intelligent lawn mower; the driving module is used for driving the mowing module and the walking module to work; a power module to power the intelligent lawn mower; the charging module is used for charging the power supply module; and the self-checking feedback system is used for self-checking at least one of the collision detection module, the lifting detection module, the mowing module, the walking module, the driving module, the power supply module and the charging module.
The invention has the beneficial effects that: the self-checking feedback method can timely find the abnormality of the functional module, actively push the fault information to the user and inform the user of timely maintenance.
Drawings
Fig. 1 is a schematic flow chart of a self-checking feedback method according to the present invention.
Fig. 2 is a schematic flowchart of step S110 of the self-test feedback method shown in fig. 1.
Fig. 3 is a flowchart illustrating step S120 of the self-test feedback method shown in fig. 1.
Fig. 4 is a schematic flow chart of a self-test feedback method according to a second embodiment of the present invention.
Fig. 5 is a flowchart illustrating step S210 of the self-test feedback method shown in fig. 4.
Fig. 6 is a flowchart illustrating step S240 of the self-test feedback method shown in fig. 4.
Fig. 7 is a flowchart illustrating a self-test feedback method according to a third embodiment of the present invention.
Fig. 8 is a block diagram of the self-test feedback system of the present invention.
Fig. 9 is a schematic block diagram of a self-test feedback system according to a second embodiment of the present invention.
Fig. 10 is a schematic block diagram of the intelligent lawnmower of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, the present invention discloses a self-checking feedback method 100 for performing self-checking on a function module of a machine so as to find an abnormality of the function module in time, and actively push fault information of the abnormal function module to a user to notify the user of timely maintenance so as to avoid affecting normal use of the user. The machine may be an intelligent lawn mower, an intelligent sweeping robot, a riding lawn mower, or the like. The functional module can be one or more of a collision detection module, a lifting detection module, a power supply module, a driving module, a mowing module, a charging module and a walking module. Of course, it is understood that the kinds and numbers of the functional modules are not limited to the aforementioned functional modules. In practical application, deletion, expansion and the like can be performed according to actual needs. The self-test feedback method 100 includes the following steps:
s110: and carrying out self-checking on the functional module of the machine to obtain self-checking result information.
S120: and judging whether the functional module is abnormal or not according to the self-checking result information.
S130: and if the functional module is abnormal, generating corresponding fault information according to the self-checking result information, and transmitting the fault information to the user terminal.
Further, referring to fig. 2, the step S110 further includes the following steps:
s111: judging whether the machine finishes starting up or not;
s112: after the machine is started and waits for a preset time T1, the functional modules of the machine are self-checked to obtain self-checking result information. The preset time T1 can be set by the user or the manufacturer as required.
Further, referring to fig. 3, the step S120 includes the following steps:
s121: judging whether the functional module is abnormal or not according to the first self-checking result information of the functional module;
s122: if the functional module is judged to be abnormal, the functional module of the machine is subjected to self-checking again, and second self-checking result information is obtained;
s123: judging whether the functional module is abnormal or not according to the second self-checking result information;
s124: and if the second self-checking result information is the same as the first self-checking result information, generating corresponding fault information.
The fault information typically includes the name of the functional module in which the exception occurred and the corresponding fault type. For example, if the power module is abnormal, the self-test shows that the heat dissipation system of the power module is failed, and the battery pack cannot be effectively dissipated. The corresponding fault information may be: the heat dissipation system of the power module fails. The failure information is described herein by way of example only and is not limiting. In practical application, the fault information can be further embodied according to specific conditions. For example, damage to the cooling fan of the cooling system, poor contact of the cooling fan, blockage of the air outlet, and the like can be explicitly indicated. The user terminal may be a mobile phone, a tablet computer, etc. Preferably, the user terminal may be client software. The user registers an account number on the client software and associates the account number with the ID of the machine. The user can maintain and repair the machine according to the reminding of the terminal, thereby avoiding the defect that the existing machine needs to be aware of the fault of the machine when the user finds the abnormal function.
Compared with the prior art, the self-checking feedback method 100 of the invention can timely find the function module abnormality, actively push the fault information to the user, and inform the user of timely maintenance.
Referring to fig. 4, the present invention further discloses a self-test feedback method 200 according to a second embodiment, which includes the following steps:
s210: and carrying out self-checking on the functional module of the machine to obtain self-checking result information.
S220: and judging whether the functional module is abnormal or not according to the self-checking result information.
S230: and if the functional module is abnormal, generating corresponding fault information.
S240: and positioning the machine, acquiring the position information of the machine, and selecting the optimal maintenance point according to the position information.
S250: and pushing the fault information and the optimal maintenance point to the user terminal.
Further, referring to fig. 5, the step S210 further includes the following steps:
s211: setting a self-checking time parameter;
s212: and self-checking the functional module of the machine according to the self-checking time parameter to obtain self-checking result information.
The self-checking time parameter is a self-checking period. Periodic self-checks may be provided, for example: a self-test is performed at intervals T2. The time T2 can be set by the user or the manufacturer as required. It may also be arranged to perform self-tests according to the working hours of the machine, for example: the machine performs a self-check after each operation for a period of time T3. The time T3 can be set by the user or the manufacturer as required.
Further, referring to fig. 6, the step S240 further includes the following steps:
s241: positioning a machine to acquire position information of the machine;
s242: selecting a maintenance point of the accessory according to the position information;
s243: and selecting the optimal maintenance point from the nearby maintenance points according to the fault information.
In practice, after-market service units will typically have several service points, but the service capacity of each service point will typically be different. For faults with a high probability of occurrence, for example: and the walking module can be set to be capable of maintaining at each maintenance point. And for faults with lower occurrence probability, a specific repair point can be set for repair, for example: and controlling the faults of the circuit board and the battery pack. So set up, can reduce the inventory pressure of maintenance point to parts not commonly used, and then reduce the operation cost.
Referring to fig. 7, the present invention further discloses a self-test feedback method 300 according to a third embodiment, which includes the following steps:
s310: self-checking a functional module of the machine to obtain self-checking result information;
s320: judging whether the functional module is abnormal or not according to the self-checking result information;
s330: if the functional module is abnormal, generating corresponding fault information;
s340: grading the fault information; if the fault information is of a first type, controlling the machine to restart; if the fault information is of the second type, jumping to step S370;
s350: after the machine is restarted, performing self-checking on the functional module of the machine again, and acquiring second self-checking result information;
s360: judging whether the functional module of the machine is still abnormal or not according to the second self-checking result information; if the functional module still has the abnormality, generating corresponding fault information;
s370: and pushing the fault information to the user terminal.
In practical applications, some functional modules may have an abnormality due to an interference signal, for example: control chips, sensors, etc. At this time, the functions of the functional modules can be recovered to normal only by restarting and initializing the functional modules. By the arrangement, false alarm can be effectively avoided.
Referring to fig. 8, the present invention further discloses a self-checking feedback system 400 for performing self-checking on a function module of a machine, so as to find out an abnormality of the function module in time, actively push fault information of the abnormal function module to a user, and notify the user of timely maintenance so as to avoid affecting normal use of the user. The machine may be an intelligent lawn mower, an intelligent sweeping robot, a riding lawn mower, or the like. The functional module can be one or more of a collision detection module, a lifting detection module, a power supply module, a driving module, a mowing module, a charging module and a walking module. Of course, it is understood that the kinds and numbers of the functional modules are not limited to the aforementioned functional modules. In practical application, deletion, expansion and the like can be performed according to actual needs. The self-test feedback system 400 comprises a self-test unit 410, a control unit 420, a positioning unit 430 and a communication unit 440. The self-checking unit 410 is used for performing self-checking on a function module of a machine and acquiring self-checking result information. Preferably, the self-test unit 410 performs self-test on the functional module of the machine according to a self-test time parameter. The self-checking time parameter is a self-checking period. Periodic self-checks may be provided, for example: a self-test is performed at intervals T2. The time T2 can be set by the user or the manufacturer as required. It may also be arranged to perform self-tests according to the working hours of the machine, for example: the machine performs a self-check after each operation for a period of time T3. The time T3 can be set by the user or the manufacturer as required. The control unit 420 judges whether the function module of the machine is abnormal according to the self-checking result information; and if the functional module is abnormal, generating corresponding fault information.
Preferably, when the control unit 420 determines that the function module of the machine is abnormal, the control unit 420 controls the self-test unit 410 to perform self-test on the function module again, and obtains the information of the result of the second self-test. If the control unit 420 still determines that the functional module is abnormal according to the second self-checking result information, corresponding fault information is generated.
The positioning unit 430 is used for positioning a machine and acquiring position information of the machine. The control unit 420 selects an optimal maintenance point according to the fault information and the location information, and pushes the fault information and the optimal maintenance point to the user terminal through the communication unit 440.
Referring to fig. 9, the self-test feedback system 500 of the second embodiment includes a self-test unit 510, a control unit 520, a grading unit 530, a positioning unit 540, and a communication unit 550. The self-checking unit 510 is configured to perform self-checking on a functional module of a machine and obtain information of a self-checking result. The control unit 420 judges whether the function module of the machine is abnormal according to the self-checking result information. And if the functional module is abnormal, generating corresponding fault information. The ranking unit 530 ranks the failure information. If the fault information is of the first type, the control unit 520 controls the machine to restart; if the failure information is of the second type, the control unit 520 controls the communication unit 550 to push the failure information to the user terminal. The grade division of the fault information can be performed in advance by manufacturers according to the probability and the occurrence reason of the fault. After the machine is restarted, the control unit 520 controls the self-checking unit 510 to perform self-checking on the functional module of the machine again, and obtains information of a result of the self-checking for the second time. If the control power supply 520 still determines that the functional module is abnormal according to the second self-checking result information, corresponding fault information is generated. The positioning unit 540 is used for positioning a machine and acquiring position information of the machine. The control unit 520 selects an optimal maintenance point according to the fault information and the location information, and pushes the fault information and the optimal maintenance point to the user terminal through the communication unit 550.
Referring to fig. 10, the present invention further discloses an intelligent lawn mower 600, which includes a collision detection module 610, a lifting detection module 620, a mowing module 630, a walking module 640, a driving module 650, a power module 660, a charging module 670, and the self-checking feedback system 400/500. The collision detection module 610 is configured to detect whether the intelligent lawn mower 600 collides. The lift detection module 620 is used to detect whether the intelligent lawn mower 600 is lifted. The mowing module 630 is configured to perform mowing functions of the intelligent mower 100. The walking module 640 is used for executing the self-walking function of the intelligent lawn mower 100. The driving module 650 is used for driving the mowing module 630 and the walking module 640 to work. The power module 660 is used for supplying power to the intelligent lawn mower 600. The charging module 670 is used for charging the power module 660. The self-test feedback system 400/500 is configured to perform self-test on at least one of the collision detection module 610, the lift detection module 620, the mowing module 630, the walking module 640, the driving module 650, the power supply module 660, and the charging module 670.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (16)
1. A self-checking feedback method is characterized by comprising the following steps:
self-checking a functional module of the machine to obtain self-checking result information;
judging whether the functional module is abnormal or not according to the self-checking result information;
and if the functional module is abnormal, generating corresponding fault information and sending the fault information to the user terminal.
2. The self-test feedback method according to claim 1, characterized in that: the functional module comprises at least one of a collision detection module, a lifting detection module, a power supply module, a driving module, a mowing module, a charging module and a walking module.
3. The self-test feedback method according to claim 1, characterized in that: and the self-checking feedback method carries out self-checking on the functional module of the machine according to the self-checking time parameter.
4. The self-test feedback method according to claim 1, characterized in that: the self-checking feedback method carries out self-checking on the functional module of the machine immediately after the machine is started.
5. The self-test feedback method according to claim 1, characterized in that: when the self-checking feedback method judges that the functional module of the machine is abnormal for the first time, the self-checking feedback method carries out self-checking on the functional module of the machine again and obtains the information of the second self-checking result; and if the first self-checking result information of the functional module is the same as the second self-checking result information, generating corresponding fault information and sending the fault information to the user terminal.
6. The self-test feedback method according to claim 1, characterized in that: the self-checking feedback method grades fault information; if the fault information is of a first type, controlling the machine to restart; and if the fault information is of the second type, sending the fault information to the user terminal.
7. The self-test feedback method according to claim 6, characterized in that: after the machine is restarted, performing self-checking on the functional module of the machine again, and acquiring second self-checking result information; judging whether the functional module of the machine is still abnormal or not according to the second self-checking result information; and if the abnormality still exists, generating corresponding fault information and sending the fault information to the user terminal.
8. The self-test feedback method according to claim 1, further comprising the steps of: positioning a machine to acquire position information of the machine; and the control unit pushes the maintenance points to the user terminal according to the position information and the fault information.
9. A self-test feedback system, comprising:
the self-checking unit is used for carrying out self-checking on the functional module of the machine and acquiring self-checking result information;
the control unit judges whether the function module of the machine is abnormal or not according to the self-checking result information; if the functional module is abnormal, generating corresponding fault information; and
a communication unit that transmits the failure information to the user terminal.
10. The self-test feedback system according to claim 9, wherein: the functional module comprises at least one of a collision detection module, a lifting detection module, a power supply module, a driving module, a mowing module, a charging module and a walking module.
11. The self-test feedback system according to claim 9, wherein: and the self-checking unit performs self-checking on the functional module of the machine according to the self-checking time parameter.
12. The self-test feedback system according to claim 9, wherein: when the control unit judges that the functional module of the machine is abnormal, the control unit controls the self-checking unit to carry out self-checking on the functional module again to obtain second self-checking result information; and if the control unit still judges that the functional module is abnormal according to the second self-checking result information, generating corresponding fault information.
13. The self-test feedback system according to claim 9, wherein: the self-checking feedback system also comprises a grading unit; the grade dividing unit is used for dividing the fault information into grades; if the fault information is of a first type, the control unit controls the machine to restart; and if the fault information is of the second type, controlling the communication unit to send the fault information to the user terminal.
14. The self-test feedback system according to claim 13, wherein: after the machine is restarted, the control unit controls the self-checking unit to perform self-checking on the functional module of the machine again and obtains second self-checking result information; and if the control unit still judges that the functional module is abnormal according to the second self-checking result information, generating corresponding fault information.
15. The self-test feedback system according to claim 9, wherein: the self-checking feedback system also comprises a positioning unit used for acquiring the position information of the machine; and the control unit selects a maintenance point according to the fault information and the position information and pushes the maintenance point to the user terminal through the communication unit.
16. An intelligent lawn mower, comprising:
the collision detection module is used for detecting whether the intelligent mower collides;
a lift detection module to detect whether the smart lawn mower is lifted;
a mowing module to perform a mowing function of the lawn mower;
a walking module to perform a self-walking function of the intelligent lawn mower;
the driving module is used for driving the mowing module and the walking module to work;
a power module to power the intelligent lawn mower;
the charging module is used for charging the power supply module; and
the self-test feedback system according to any one of claims 9 to 15, configured to self-test at least one of the collision detection module, the lifting detection module, the mowing module, the walking module, the driving module, the power supply module, and the charging module.
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011544801.6A CN112684800A (en) | 2020-12-24 | 2020-12-24 | Self-checking feedback method, self-checking feedback system and intelligent mower |
PCT/CN2021/123571 WO2022078402A1 (en) | 2020-10-16 | 2021-10-13 | Garden tool |
AU2021359513A AU2021359513A1 (en) | 2020-10-16 | 2021-10-13 | Garden tool |
EP21879445.1A EP4230020A4 (en) | 2020-10-16 | 2021-10-13 | Garden tool |
US18/297,646 US20230240181A1 (en) | 2020-10-16 | 2023-04-10 | Garden tool |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011544801.6A CN112684800A (en) | 2020-12-24 | 2020-12-24 | Self-checking feedback method, self-checking feedback system and intelligent mower |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112684800A true CN112684800A (en) | 2021-04-20 |
Family
ID=75451432
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011544801.6A Pending CN112684800A (en) | 2020-10-16 | 2020-12-24 | Self-checking feedback method, self-checking feedback system and intelligent mower |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112684800A (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105939201A (en) * | 2015-07-13 | 2016-09-14 | 杭州迪普科技有限公司 | Method and device for checking state of server |
CN107258203A (en) * | 2017-08-04 | 2017-10-20 | 南京江宁台湾农民创业园发展有限公司 | A kind of intelligent grass-removing |
CN107449991A (en) * | 2017-07-17 | 2017-12-08 | 珠海格力电器股份有限公司 | Abnormal operation detection method and device for electric heating module and air conditioner |
WO2018161571A1 (en) * | 2017-03-10 | 2018-09-13 | 广东欧珀移动通信有限公司 | Method, device, medium, and electronic apparatus for dynamically adjusting power saving level of terminal |
CN109067893A (en) * | 2018-08-22 | 2018-12-21 | 北京小米移动软件有限公司 | Smart machine fault handling method, device, terminal and server |
-
2020
- 2020-12-24 CN CN202011544801.6A patent/CN112684800A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105939201A (en) * | 2015-07-13 | 2016-09-14 | 杭州迪普科技有限公司 | Method and device for checking state of server |
WO2018161571A1 (en) * | 2017-03-10 | 2018-09-13 | 广东欧珀移动通信有限公司 | Method, device, medium, and electronic apparatus for dynamically adjusting power saving level of terminal |
CN107449991A (en) * | 2017-07-17 | 2017-12-08 | 珠海格力电器股份有限公司 | Abnormal operation detection method and device for electric heating module and air conditioner |
CN107258203A (en) * | 2017-08-04 | 2017-10-20 | 南京江宁台湾农民创业园发展有限公司 | A kind of intelligent grass-removing |
CN109067893A (en) * | 2018-08-22 | 2018-12-21 | 北京小米移动软件有限公司 | Smart machine fault handling method, device, terminal and server |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112690082A (en) | Self-checking feedback method, self-checking feedback system and intelligent mower | |
CN107943098B (en) | Intelligent operation and maintenance robot system based on machine learning | |
CN112380045A (en) | Vehicle abnormality detection method, device, equipment and storage medium | |
WO2022095896A1 (en) | Method for managing ecu on vehicle, and ecu and readable storage medium | |
CN110262362B (en) | AGV working temperature monitoring method, system and device | |
CN116820820A (en) | Server fault monitoring method and system | |
WO2024199316A1 (en) | Wake-up method and apparatus for robot in shutdown state | |
CN112684800A (en) | Self-checking feedback method, self-checking feedback system and intelligent mower | |
CN111664543B (en) | Air conditioner and control method thereof | |
CN211877101U (en) | Intelligent cabinet monitor | |
CN211790959U (en) | Intelligent cabinet host guarantee system | |
CN112415422A (en) | Fault monitoring and processing system and method for dynamic steering lamp and vehicle | |
CN114812652B (en) | Mower control method and device, mower and storage medium | |
CN115289607B (en) | Main and standby unit control method and device and air conditioning system | |
CN212322081U (en) | Intelligent cabinet environment monitoring system | |
CN115384787A (en) | Aircraft state indicating method, aircraft and storage medium | |
CN110737256A (en) | method and apparatus for controlling variable frequency drive system | |
CN111131503B (en) | Fault reporting method and system, automatic delivery vehicle of logistics warehouse and auxiliary reporting equipment | |
CN114393995A (en) | Motor controller, fault processing method thereof and computer readable storage medium | |
CN114139749A (en) | Robot exception handling method, robot and robot exception handling system | |
CN110749046B (en) | Air conditioner control method and device, air conditioner and computer readable storage medium | |
CN107087285B (en) | Radio frequency interference detection method and device | |
US20240305131A1 (en) | System diagnosis method in an energy management system | |
CN117395615B (en) | Device and method for bluetooth stable broadcasting in vehicle system | |
CN114362369B (en) | Power supply control method and system based on array type temperature sensor |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |