CN115225539A - Intelligent obstacle removing system and method - Google Patents
Intelligent obstacle removing system and method Download PDFInfo
- Publication number
- CN115225539A CN115225539A CN202210884850.7A CN202210884850A CN115225539A CN 115225539 A CN115225539 A CN 115225539A CN 202210884850 A CN202210884850 A CN 202210884850A CN 115225539 A CN115225539 A CN 115225539A
- Authority
- CN
- China
- Prior art keywords
- fault
- equipment
- terminal
- cloud server
- data
- 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 20
- 238000012545 processing Methods 0.000 claims abstract description 64
- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 238000013024 troubleshooting Methods 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000007405 data analysis Methods 0.000 claims description 9
- 230000008030 elimination Effects 0.000 claims description 6
- 238000003379 elimination reaction Methods 0.000 claims description 6
- 230000000737 periodic effect Effects 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 15
- 230000001939 inductive effect Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 241001330002 Bambuseae Species 0.000 description 1
- 206010033799 Paralysis Diseases 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0659—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities
- H04L41/0661—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities by reconfiguring faulty entities
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Environmental & Geological Engineering (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention relates to the field of equipment fault removal, and discloses an intelligent fault removal system and a fault removal method, which can reduce the fault maintenance cost and improve the maintenance efficiency, the maintenance accuracy and the flexibility of fault early warning. The system comprises an equipment terminal, a cloud server and a fault processing terminal; the equipment terminal comprises a storage module and a fault monitoring module; the storage module is used for caching the device operation log; the fault monitoring module is used for realizing equipment fault classification and classification alarm through equipment operation log analysis and equipment operation state monitoring; the cloud server is used for acquiring fault data, storing the fault data, analyzing the fault data in detail, pushing equipment fault alarm data, forwarding an equipment troubleshooting control command, deploying an equipment firmware upgrading file and pushing the equipment firmware upgrading file; and the fault processing terminal is used for realizing fault equipment position positioning, equipment fault position, fault grade display, fault type display, fault processing log data display, fault processing state display, equipment working state display and equipment upgrading state display.
Description
Technical Field
The invention relates to the field of equipment obstacle elimination, in particular to an intelligent obstacle elimination system and an obstacle elimination method.
Background
With the development of the technology of the internet of things, the internet of things technology is currently step into the world of everything interconnection. Various intelligent devices are continuously emerging like bamboo shoots in spring after rain. The dependence of the normal operation of the intelligent equipment on the built-in software is large, once the operation of the equipment software is abnormal due to the change of environmental parameters, the equipment cannot work normally, and some system data are abnormal or even paralyzed.
Once the intelligent device is put into use, the device fault handling system and fault handling personnel must be configured. The large amount of use of intelligent equipment has greatly increased the maintenance cost of equipment simultaneously.
The traditional equipment fault treatment generally adopts a field door maintenance or remote fault removal mode. On one hand, due to the fact that personnel are needed to be on site, timeliness of fault handling is limited, and on the other hand, maintenance of intelligent equipment and intelligent equipment in remote places under the limit environment is difficult.
For the remote obstacle removing mode, the following problems generally exist in the prior art:
1. remote troubleshooting requires customer or equipment coordination, which is often difficult to achieve due to equipment location and environmental condition effects.
2. Because the equipment fault has certain randomness, the equipment fault condition is difficult to reproduce, the fault log is time-consuming and labor-consuming to grab, and the normal use of the equipment is influenced.
3. The device fault early warning threshold value can not be adjusted, the fault early warning level can not be adjusted in real time according to the upgrading of the device firmware version and the performance optimization condition of the device, and the condition of invalid early warning can occur.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the intelligent fault removing system and the fault removing method are provided, so that the fault maintenance cost is reduced, and the maintenance efficiency, the maintenance accuracy and the flexibility of fault early warning are improved.
The technical scheme adopted by the invention for solving the technical problems is as follows:
in a first aspect, the invention provides an intelligent troubleshooting system, which comprises an equipment terminal, a cloud server and a fault processing terminal; the equipment terminal and the fault processing terminal are connected with the cloud server through a network;
the equipment terminal comprises a storage module and a fault monitoring module;
the storage module is used for caching the device running log;
the fault monitoring module is used for realizing equipment fault classification and grading alarm through equipment operation log analysis and equipment operation state monitoring;
the cloud server is used for acquiring fault data, storing the fault data, analyzing the fault data in detail, pushing equipment fault alarm data, forwarding an equipment troubleshooting control command, deploying an equipment firmware upgrading file and pushing the equipment firmware upgrading file;
the fault processing terminal is used for realizing fault equipment position positioning, equipment fault position, fault grade display, fault type display, fault processing log data display, fault processing state display, equipment working state display and equipment upgrading state display.
Further, the fault handling terminal comprises a visual screen and a voice prompt system.
Furthermore, the fault processing terminal is also used for adjusting fault alarm levels in real time, adjusting different types of fault alarm threshold values, adjusting alarm types, realizing batch classification and periodic fault troubleshooting on equipment through active control, and finishing pushing upgrading firmware of the equipment.
Further, the storage module is further configured to select the emptying data to be stored again or report the log to the cloud server when the cached log data reaches the maximum storable threshold.
Furthermore, in the intelligent fault removal system, one fault processing terminal can simultaneously control a plurality of equipment terminals, one equipment terminal can also be simultaneously controlled by a plurality of fault processing terminals, and different fault processing terminals synchronize the states of the fault equipment in real time.
Further, the fault monitoring module is further configured to adjust a fault alarm type of the device terminal and various fault alarm threshold thresholds of the device terminal according to an instruction of the fault processing terminal.
In a second aspect, based on the above system, the present invention provides an active and non-inductive intelligent troubleshooting method, which includes the following steps:
s1, a fault handling terminal initiates a device terminal fault removing command;
s2, the cloud server forwards the fault removing command to a corresponding equipment terminal;
s3, after receiving the fault removing command, the corresponding equipment terminal stores the latest running log data of the equipment and uploads the running log data to the cloud server;
s4, the cloud server analyzes the operation log data uploaded by the equipment terminal and forms an equipment data analysis log;
and S5, the fault processing terminal reads the equipment data analysis log from the cloud server, analyzes the equipment data analysis log, and makes corresponding strategies for adjusting the fault level or pushing the upgrade firmware according to the fault condition according to the analysis result.
Further, in step S5, the making of a corresponding policy for adjusting the fault level or pushing the upgrade firmware according to the fault condition as needed according to the analysis result specifically includes:
if the fault level of the equipment terminal is high and needs to be processed, the fault processing terminal pushes the upgrading firmware to the cloud server; the cloud server selects to perform instant upgrading or idle upgrading on the equipment terminal according to the fault type and the fault grade;
otherwise, the fault processing terminal reduces the fault level of the equipment terminal.
In a third aspect, based on the above system, the present invention provides another automatic and non-inductive intelligent troubleshooting method, which includes the following steps:
s1, a fault monitoring module of an equipment terminal initiates fault early warning and uploads latest running log data of the equipment to a cloud server;
s2, the cloud server inquires whether the equipment new version upgrading firmware is deployed, if so, the equipment is selected to be upgraded immediately or in idle time according to the fault type and the fault grade, and if not, the step S3 is executed;
s3, the cloud server pushes the fault early warning information of the equipment terminal to the fault processing terminal;
and S4, the fault processing terminal analyzes the fault early warning information and makes corresponding strategies for regulating the fault grade or pushing and upgrading firmware according to the fault condition according to the analysis result.
Further, in step S4, the making of the corresponding policy for adjusting the fault level or pushing the upgrade firmware according to the fault condition as needed according to the analysis result specifically includes:
if the fault level of the equipment terminal is high and needs to be processed, the fault processing terminal pushes an upgrading firmware to the cloud server; the cloud server selects to carry out instant upgrade or idle upgrade on the equipment terminal according to the fault type and the fault grade;
otherwise, the fault processing terminal reduces the fault grade of the equipment terminal.
The beneficial effects of the invention are:
based on the system provided by the invention, the classified fault early warning can be realized by monitoring the running state of the equipment and analyzing the running log data, and the remote maintenance of the fault can be realized by upgrading the corresponding firmware of the equipment, so that the maintenance efficiency is improved, and the maintenance cost is reduced; in addition, the invention provides two modes of automatic non-inductive fault removal processing and active non-inductive fault removal processing, and the fault processing has more flexibility.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent obstacle avoidance system in embodiment 1 of the present invention;
fig. 2 is a flowchart of an intelligent troubleshooting method in embodiment 2 of the present invention;
fig. 3 is a flowchart of an intelligent troubleshooting method in embodiment 3 of the present invention.
Detailed Description
The invention aims to provide an intelligent fault removing system and a fault removing method, which can reduce the fault maintenance cost and improve the maintenance efficiency, the maintenance accuracy and the flexibility of fault early warning. The intelligent fault-removing system comprises an equipment terminal, a cloud server and a fault processing terminal; the equipment terminal and the fault processing terminal are connected with the cloud server through a network; the device terminal is used for caching and reporting the operation logs, monitoring the operation state of the device per se to realize fault classification early warning or alarming, and adjusting the fault alarming type and various fault alarming threshold values of the device according to the instruction of the fault processing terminal; the fault processing terminal is used for realizing fault equipment position positioning, equipment fault position, fault grade display, fault type display, fault processing log data display, fault processing state display, equipment working state display and equipment upgrading state display, and is also used for adjusting fault alarm grades in real time, adjusting different types of fault alarm threshold values, adjusting alarm types, realizing batch classification and periodic fault troubleshooting on the equipment through active control, and finishing pushing upgrading firmware of the equipment; the cloud server is used for acquiring fault data, storing the fault data, analyzing the fault data in detail, pushing equipment fault alarm data, forwarding an equipment troubleshooting control command, deploying an equipment firmware upgrading file and pushing the equipment firmware upgrading file.
Example 1:
as an example of the intelligent obstacle-removing system, as shown in fig. 1, the intelligent obstacle-removing system includes three parts, namely, a device terminal, a cloud server, and a fault handling terminal; the equipment terminal comprises a storage module and a fault monitoring module;
in the fault removing system, one fault processing terminal can simultaneously control a plurality of devices, one device can also have a plurality of fault processing terminals to simultaneously control, and different fault processing terminals can synchronize the states of related devices in real time.
The storage module can implement, but is not limited to, a device running log cache and other data caches of the device. When the log data storage reaches the maximum threshold value capable of being stored, emptying the data for storing again or reporting the log to the server side.
The fault monitoring module realizes classified and graded alarm of equipment faults through equipment log keyword grabbing and equipment running state monitoring, and the special fault monitoring module can adjust the type of the equipment fault alarm and the threshold of various fault alarm thresholds of the equipment.
The cloud server can achieve but is not limited to fault data acquisition, fault data storage, fault data detailed analysis, equipment fault alarm data pushing, equipment troubleshooting control command forwarding, equipment firmware upgrading file deployment and pushing.
The fault processing terminal comprises a visual screen and a voice prompt system, and can realize fault equipment position positioning, equipment fault position display, equipment fault grade display, equipment fault type display, equipment fault processing log data display, equipment fault processing state display, equipment working state display and equipment upgrading state display. The fault processing terminal can adjust the fault alarm grade in real time, adjust different types of fault alarm threshold values, increase or decrease alarm types and adjust different alarm types in real time. The fault processing terminal can realize equipment fault troubleshooting through active control, and realize batch classification and periodic fault troubleshooting on the equipment. The terminal can realize the pushing of the customized upgrading firmware of the fault equipment and the pushing of the overall upgrading firmware of the equipment.
Example 2:
as an example of a fault troubleshooting method, an active and non-inductive intelligent fault troubleshooting method is provided in this example, that is, a fault troubleshooting check of a device is actively initiated by a fault processing terminal. The implementation flow is shown in fig. 2, and includes:
s1, a fault handling terminal initiates a device terminal fault removing command;
s2, the cloud server forwards the fault removing command to a corresponding equipment terminal;
s3, after the corresponding equipment terminal receives the obstacle removing command, the storage module removes the historical data and starts to store the latest operating data of the equipment, and the storage module is full of storage space, namely the log data are uploaded to the server side;
s4, the cloud server analyzes the operation log data uploaded by the equipment terminal and forms an equipment data analysis log;
s5, the fault processing terminal reads the device data analysis log from the cloud server, analyzes the device data analysis log, and makes corresponding strategies for adjusting the fault level or pushing the upgrade firmware according to the fault condition according to the analysis result as required:
if the fault level of the equipment terminal is high and needs to be processed, the fault processing terminal pushes an upgrading firmware to the cloud server; the cloud server selects to carry out instant upgrade or idle upgrade on the equipment terminal according to the fault type and the fault grade; such as: if the fault needing to be processed immediately, the equipment is selected to be upgraded immediately, and if the fault needing to be processed immediately does not need to be processed immediately, the equipment can be upgraded in an idle time.
Otherwise, the fault processing terminal reduces the fault level of the equipment terminal.
Example 3:
as another example of the fault troubleshooting method, an automatic non-sensing intelligent fault troubleshooting method is provided in this example, namely, a fault early warning is initiated and uploaded by a fault monitoring module of the device terminal. The implementation process is shown in fig. 3, and includes:
s1, a fault monitoring module of an equipment terminal initiates fault early warning and uploads latest running log data of equipment to a cloud server;
s2, the cloud server inquires whether the equipment new version upgrading firmware is deployed, if so, the equipment is selected to be upgraded immediately or in idle time according to the fault type and the fault grade, and if not, the step S3 is executed;
s3, the cloud server pushes the fault early warning information of the equipment terminal to the fault processing terminal;
s4, the fault processing terminal analyzes the fault early warning information, and makes corresponding strategies for regulating the fault grade or pushing and upgrading firmware according to the fault condition according to the analysis result as required:
if the fault level of the equipment terminal is high and needs to be processed, the fault processing terminal pushes an upgrading firmware to the cloud server; the cloud server selects to perform instant upgrading or idle upgrading on the equipment terminal according to the fault type and the fault grade; such as: if the fault needing to be processed immediately, the equipment is selected to be upgraded immediately, and if the fault needing to be processed immediately does not need to be processed immediately, the equipment can be upgraded in an idle time.
Otherwise, the fault processing terminal reduces the fault level of the equipment terminal.
Finally, it should be noted that the above-mentioned embodiments are only preferred embodiments and are not intended to limit the present invention. It should be noted that those skilled in the art can make various changes, substitutions and alterations herein without departing from the spirit of the invention and the scope of the appended claims.
Claims (10)
1. An intelligent obstacle-removing system is characterized in that,
the system comprises an equipment terminal, a cloud server and a fault processing terminal; the equipment terminal and the fault processing terminal are connected with the cloud server through a network;
the equipment terminal comprises a storage module and a fault monitoring module;
the storage module is used for caching the device operation log;
the fault monitoring module is used for realizing equipment fault classification and grading alarm through equipment operation log analysis and equipment operation state monitoring;
the cloud server is used for acquiring fault data, storing the fault data, analyzing the fault data in detail, pushing equipment fault alarm data, forwarding an equipment troubleshooting control command, deploying an equipment firmware upgrading file and pushing the equipment firmware upgrading file;
the fault processing terminal is used for realizing fault equipment position positioning, equipment fault position, fault grade display, fault type display, fault processing log data display, fault processing state display, equipment working state display and equipment upgrading state display.
2. The intelligent obstacle clearance system of claim 1,
the fault processing terminal comprises a visual screen and a voice prompt system.
3. The intelligent obstacle clearance system of claim 1,
the fault processing terminal is also used for adjusting fault alarm grades in real time, adjusting different types of fault alarm threshold values, adjusting alarm types, realizing batch classification and periodic fault troubleshooting on equipment through active control, and finishing pushing upgrading firmware of the equipment.
4. The intelligent obstacle clearance system of claim 1,
the storage module is further used for selecting the emptying data to be stored again or reporting the log to the cloud server when the cached log data reaches the maximum storable threshold value.
5. The intelligent obstacle clearance system of claim 1,
the fault monitoring module is further used for adjusting the fault alarm type of the equipment terminal and various fault alarm threshold values of the equipment terminal according to the instruction of the fault processing terminal.
6. The intelligent obstacle evacuation system of any one of claims 1-5,
in the intelligent fault removal system, one fault processing terminal can simultaneously control a plurality of equipment terminals, one equipment terminal can also be simultaneously controlled by a plurality of fault processing terminals, and different fault processing terminals synchronize the states of fault equipment in real time.
7. An intelligent obstacle elimination method applied to the system as claimed in any one of claims 1 to 6,
the method comprises the following steps:
s1, a fault handling terminal initiates a device terminal fault removing command;
s2, the cloud server forwards the fault removing command to a corresponding equipment terminal;
s3, after receiving the fault removing command, the corresponding equipment terminal stores the latest running log data of the equipment and uploads the running log data to the cloud server;
s4, the cloud server analyzes the operation log data uploaded by the equipment terminal and forms an equipment data analysis log;
and S5, the fault processing terminal reads the equipment data analysis log from the cloud server, analyzes the equipment data analysis log, and adjusts the fault level or pushes a corresponding strategy for upgrading the firmware according to the fault condition according to the analysis result.
8. The intelligent obstacle elimination method of claim 7,
in step S5, the making of the corresponding policy for adjusting the fault level or pushing the upgrade firmware according to the fault condition as needed according to the analysis result specifically includes:
if the fault level of the equipment terminal is high and needs to be processed, the fault processing terminal pushes the upgrading firmware to the cloud server; the cloud server selects to carry out instant upgrade or idle upgrade on the equipment terminal according to the fault type and the fault grade;
otherwise, the fault processing terminal reduces the fault level of the equipment terminal.
9. An intelligent obstacle elimination method applied to the system as claimed in any one of claims 1 to 6,
which comprises the following steps:
s1, a fault monitoring module of an equipment terminal initiates fault early warning and uploads latest running log data of equipment to a cloud server;
s2, the cloud server inquires whether the equipment new version upgrading firmware is deployed, if so, the equipment is selected to be upgraded immediately or in idle time according to the fault type and the fault grade, and if not, the step S3 is executed;
s3, the cloud server pushes the fault early warning information of the equipment terminal to a fault processing terminal;
and S4, the fault processing terminal analyzes the fault early warning information and makes corresponding strategies for regulating the fault grade or pushing and upgrading firmware according to the fault condition according to the analysis result.
10. The intelligent obstacle clearance method according to claim 9,
in step S4, the making of the corresponding policy for adjusting the fault level or pushing the upgrade firmware according to the fault condition as needed according to the analysis result specifically includes:
if the fault level of the equipment terminal is high and needs to be processed, the fault processing terminal pushes an upgrading firmware to the cloud server; the cloud server selects to carry out instant upgrade or idle upgrade on the equipment terminal according to the fault type and the fault grade;
otherwise, the fault processing terminal reduces the fault level of the equipment terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210884850.7A CN115225539A (en) | 2022-07-26 | 2022-07-26 | Intelligent obstacle removing system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210884850.7A CN115225539A (en) | 2022-07-26 | 2022-07-26 | Intelligent obstacle removing system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115225539A true CN115225539A (en) | 2022-10-21 |
Family
ID=83613804
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210884850.7A Pending CN115225539A (en) | 2022-07-26 | 2022-07-26 | Intelligent obstacle removing system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115225539A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105302120A (en) * | 2015-11-19 | 2016-02-03 | 广州云湾信息技术有限公司 | Remote service device, system and method of intelligent equipment |
| CN106533782A (en) * | 2016-12-01 | 2017-03-22 | 北京雷石天地电子技术有限公司 | Method and system for discovering service faults of offline places in real time |
| CN108257659A (en) * | 2017-12-01 | 2018-07-06 | 深圳市新产业生物医学工程股份有限公司 | Fault handling method, fault treating apparatus and electric terminal |
| CN108933685A (en) * | 2017-05-25 | 2018-12-04 | 深圳市鑫科蓝电子科技有限公司 | A kind of the monitoring maintaining method and system of Intelligent hardware product |
| CN110233877A (en) * | 2019-05-14 | 2019-09-13 | 太原理工大学 | A kind of intelligent photovoltaic power generation fault comprehensive early warning system |
| CN110932901A (en) * | 2019-11-29 | 2020-03-27 | 深圳市计通智能技术有限公司 | Alarm level adjusting method and system |
| CN210952934U (en) * | 2019-11-26 | 2020-07-07 | 国网冀北电力有限公司廊坊供电公司 | Switch cabinet state monitoring and diagnosing system |
| CN112486084A (en) * | 2020-11-03 | 2021-03-12 | 江门绿润环保科技有限公司 | Remote control method and system for low-temperature drying machine |
| CN114444733A (en) * | 2021-12-31 | 2022-05-06 | 深圳市巨鼎医疗股份有限公司 | Self-service equipment fault processing method, terminal equipment and storage medium |
| CN114710538A (en) * | 2022-04-08 | 2022-07-05 | 德威特智能电气(深圳)有限公司 | Intelligent operation and maintenance system of circuit breaker |
-
2022
- 2022-07-26 CN CN202210884850.7A patent/CN115225539A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105302120A (en) * | 2015-11-19 | 2016-02-03 | 广州云湾信息技术有限公司 | Remote service device, system and method of intelligent equipment |
| CN106533782A (en) * | 2016-12-01 | 2017-03-22 | 北京雷石天地电子技术有限公司 | Method and system for discovering service faults of offline places in real time |
| CN108933685A (en) * | 2017-05-25 | 2018-12-04 | 深圳市鑫科蓝电子科技有限公司 | A kind of the monitoring maintaining method and system of Intelligent hardware product |
| CN108257659A (en) * | 2017-12-01 | 2018-07-06 | 深圳市新产业生物医学工程股份有限公司 | Fault handling method, fault treating apparatus and electric terminal |
| CN110233877A (en) * | 2019-05-14 | 2019-09-13 | 太原理工大学 | A kind of intelligent photovoltaic power generation fault comprehensive early warning system |
| CN210952934U (en) * | 2019-11-26 | 2020-07-07 | 国网冀北电力有限公司廊坊供电公司 | Switch cabinet state monitoring and diagnosing system |
| CN110932901A (en) * | 2019-11-29 | 2020-03-27 | 深圳市计通智能技术有限公司 | Alarm level adjusting method and system |
| CN112486084A (en) * | 2020-11-03 | 2021-03-12 | 江门绿润环保科技有限公司 | Remote control method and system for low-temperature drying machine |
| CN114444733A (en) * | 2021-12-31 | 2022-05-06 | 深圳市巨鼎医疗股份有限公司 | Self-service equipment fault processing method, terminal equipment and storage medium |
| CN114710538A (en) * | 2022-04-08 | 2022-07-05 | 德威特智能电气(深圳)有限公司 | Intelligent operation and maintenance system of circuit breaker |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1858727A (en) | Producing device monitor system and method | |
| CN102571865B (en) | A kind of method for supervising and system | |
| CN111092946A (en) | Data processing method and system applied to edge computing gateway | |
| KR101874361B1 (en) | System and method for satellite communication of vessel | |
| CN101801015A (en) | Method and device for processing out of service faults of cell | |
| CN110046182A (en) | A kind of huge hydroelectric power plant's intelligent alarm threshold setting method and system | |
| CN107291058A (en) | A kind of continuous casting production process data acquisition monitoring system | |
| CN108052633B (en) | Wind power plant fault data acquisition system and method based on SCADA system | |
| CN111795488A (en) | Intelligent temperature regulation and control system and method for distributed machine room | |
| EP3885854B1 (en) | Data analysis method, device and system | |
| CN112132065B (en) | Alarm strategy method based on power transmission line channel visual continuous alarm | |
| CN112165528B (en) | Vehicle event and management method, system and storage medium of event file data thereof | |
| CN115225539A (en) | Intelligent obstacle removing system and method | |
| CN1240009C (en) | Method for apparatus status monitoring and performance degenerate fore casting based on network | |
| CN106469348B (en) | Method and system for dynamically adjusting sensor data acquisition algorithm | |
| CN116071902B (en) | Method, equipment and medium for monitoring power equipment of machine room | |
| CN116107290A (en) | Industrial equipment fault monitoring method, device, system and storage medium | |
| CN115484182A (en) | Rail transit vehicle-ground communication potential risk monitoring method and system | |
| CN214366547U (en) | Edge processing device for intelligent control of wind generating set | |
| CN116993240A (en) | Logistics system control method, device, equipment and storage medium | |
| CN112000507A (en) | Fault processing method, system, device and medium based on software load balancing | |
| CN112510823A (en) | Power supply remote control system | |
| CN112329958A (en) | Auxiliary analysis method for movement perception of cables in pipe gallery | |
| CN117411184B (en) | Intelligent command system for emergency treatment of medium-low voltage power supply | |
| CN102202232B (en) | Device and method for providing program information |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20221021 |