CN105119767A - Data self-check and self-cleaning software operation state monitoring method and system - Google Patents
Data self-check and self-cleaning software operation state monitoring method and system Download PDFInfo
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- CN105119767A CN105119767A CN201510364599.1A CN201510364599A CN105119767A CN 105119767 A CN105119767 A CN 105119767A CN 201510364599 A CN201510364599 A CN 201510364599A CN 105119767 A CN105119767 A CN 105119767A
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- 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
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- 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
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
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- 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
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- 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
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
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Abstract
The invention discloses a data self-check and self-cleaning software operation state monitoring method and system. The monitoring method comprises steps: data information of a monitored device is collected; according to a preset filtering strategy, effective data information is filtered from the obtained data information and stored; effective data information needing alarm is filtered according to a preset alarm strategy, an alarm is given and recording is carried out; monitored data hard disk cleaning is carried out according to preset time. The collection step comprises a sub-step of collecting operation data information of a monitored device software and a sub-step of collecting abnormal data information of the monitored device software. After the above technical scheme is employed, compared with the prior art, the monitoring method has the following beneficial effects: state parameters of a plurality of softwares can be processed in a centralized manner and managed in a unified manner, the operation amount is lowered effectively, and the monitored software seemingly-dead phenomenon restoration function is achieved.
Description
Technical field
The present invention relates to communication field, particularly the software operation state monitoring method of a kind of data self-inspection and self-cleaning and system.
Background technology
Under the current information age, the process of information data relies on the software systems of computer to carry out, the server apparatus of current most system is placed in server room or external field environment, needs attendant regularly to go the target place situation of operating software in checkout facility successively.But, the not only at substantial manpower of the method for this personal monitoring, and can not the abnormal information of operating software in acquisition equipment in time, easily cause larger loss.
Based on above-mentioned present situation, engineer have developed monitoring system, can replace the situation of operating software in personal monitoring's equipment.Existing monitoring system still has deficiency:
The method of the software thread that existing monitoring system adopts monitoring monitored, effectively can monitor the essential information of the operation of software.But when monitored running software, occasional produces the normal but actual software of thread can not " seemingly-dead " state of practical function, and existing monitoring system can not realize identifying this software " seemingly-dead " state.In addition, the monitored software in monitored equipment monitoring result display normal operation but in fact this monitored software function and unconsummated situation also occasionally has generation.
In view of this, special proposition the present invention.
Summary of the invention
The technical problem to be solved in the present invention is to overcome the deficiencies in the prior art, provides software operation state monitoring method and the system of a kind of data self-inspection and self-cleaning, effectively identifies torpor, reach better monitoring effect.
Find through the large quantifier elimination of the present inventor, in production background technology part, the reason of " seemingly-dead " state is that hard disk remaining space in monitored equipment is not enough sometimes, can not write that data cause.
For solving the problems of the technologies described above, the present invention adopts the basic conception of technical scheme to be:
A software operation state monitoring method for data self-inspection and self-cleaning, comprising:
The data message of S1, collection monitored equipment;
The filtering policy that S2, basis pre-set, filters out valid data information and stores from obtained data message; And
S3, basis are preset the warning policy filtering arranged and are gone out the valid data information that need report to the police, and report to the police and record;
The hard-disk capacity of S4, retrieval monitored equipment, cleaning redundant data;
Step S4 is performed according to predetermined time;
Described step S1 comprises the sub-step S13 of the sub-step S12 of the service data information gathering monitored equipment software and the abnormal data information of collection monitored equipment software;
Step S12 comprises:
S121, call the task manager of monitored equipment;
S122, according to the monitored software startup time point of the process record in this task manager, the shut-in time point and running time; Generating run data message;
Step S13 comprises:
S131, call the task manager of monitored equipment;
S132, according to configuration software title and address, in task manager, determine the process of monitored software;
S133, monitor corresponding ini file according to the title of monitored software and address; Generate abnormal data information.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, the filter method filtering effective service data information that needs are reported to the police in described step S3 is:
Transfer effective service data information, this effective service data information and preset value are contrasted, when error exceedes threshold value, then this effective service data information is the effective service data information needing to report to the police;
The filter method filtering the effective anomaly data message that needs are reported to the police in described step S3 is:
Transfer effective anomaly data message,
Determine the time point of the last ini file content change with this abnormal data information gathering time point,
When this time point and the time interval of this acquisition time exceed threshold value,
Transfer the running status that corresponding effective service data information determines acquisition time monitored software, if monitored software is in opening, then this effective anomaly data message is the effective anomaly information needing to report to the police.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, in step S3, exceedes Preset Time when failing to get the valid data information that need report to the police, and performs the hard-disk capacity of step S4, retrieval monitored equipment, cleaning redundant data;
Step S4 comprises:
S401, the remaining space size obtaining monitored hard disk and default headspace size;
S402, when remaining space size is less than headspace size, delete creation-time file the earliest under assigned catalogue, then perform step S401, until remaining space size is greater than headspace size.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, described step S1 also comprises the sub-step S11 gathering monitored equipment and its external equipment connection data information;
S11 comprises:
S111, the communication protocol Ping order of calling monitored equipment send an ICMP to the external equipment be connected with this monitored equipment;
The ICMPecho content of S112, acquisition; Generate connection data information.
A software operation state monitoring system for data self-inspection and self-cleaning, comprises running status acquiring unit, data scrubbing unit, abnormal data monitoring means and data storage cell;
Described running status acquiring unit, for gathering the service data information of software in monitored equipment;
Described abnormal data monitoring means, the designated software for gathering monitored equipment be in operation occur abnormal data information;
Described data scrubbing unit, for gathering the hard-disk capacity of monitored equipment and clearing up redundant data;
Described data storage cell, to go forward side by side row relax, parsing and storage for obtaining service data information and abnormal data information.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, also comprises connection status acquiring unit;
Described connection status acquiring unit, for obtaining the connection data information between peripheral hardware that monitored equipment is connected with it; This connection data information is also obtained by described data storage cell.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, also comprises data query lead-out unit;
Described data query lead-out unit, for gathering information data, supports that temporally scope carries out statistical conversion.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, also comprises first network communication unit and second network communication unit;
Described first network communication unit, for obtaining service data information and abnormal data information, and the second network communication unit passed to;
Described second network communication unit, for receiving service data information and abnormal data information and passing to described data storage cell.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, also comprises communication check unit;
Communication check unit, for detecting the connection state information of first network communication unit and second network communication unit.
The software operation state monitoring method of above-mentioned data self-inspection and self-cleaning, described running status acquiring unit, described data scrubbing unit, described abnormal data monitoring means and first network communication unit are arranged at client, described data storage cell and second network communication unit are arranged at service end, and described service end is by the IP address of client and the port identification data message from different clients.
After adopting technique scheme, the present invention compared with prior art has following beneficial effect:
1, be combined with configuration file monitoring mode by thread monitoring mode, efficiently solve the phenomenon that software " seemingly-dead " can not be monitored;
2, the state parameter of multiple software can carry out focusing on and unified management, the effectively amount of simplifying the operation;
3, there is connection status monitoring function, can ensure that monitoring function whole process realizes;
4, each data storage cell effectively can support the collection of multiple software book data, effectively expands the compatibility of present system.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the software operation state monitoring system of data self-inspection of the present invention and self-cleaning.
Fig. 2 is the block diagram of the software operation state monitoring method of data self-inspection of the present invention and self-cleaning.
In above-mentioned accompanying drawing, 1, client; 2, service end; 3, configuration module.
Embodiment
Below in conjunction with the drawings and specific embodiments, the invention will be further described, to help understanding content of the present invention.
As shown in Figure 1, the invention provides the software operation state monitoring system of a kind of data self-inspection and self-cleaning, comprise running status acquiring unit, abnormal data monitoring means, data storage cell, data scrubbing unit, connection status acquiring unit, data query lead-out unit, first network communication unit, second network communication unit and communication check unit;
Described running status acquiring unit, for gathering the service data information of software in monitored equipment; This running status acquiring unit transfers the task manager of monitored equipment, obtains the service data information of this monitored software according to the process of software monitored in task manager.This basic running state information comprises software opening time, shut-in time and running time.
Described abnormal data monitoring means, the designated software for gathering monitored equipment be in operation occur abnormal data information; Because monitored software cycle writes content in fixing ini file, then abnormal data monitoring means monitors corresponding ini file according to the address of monitored software and title, and according to the content change of ini, abnormal data monitoring means obtains abnormal data information.In conjunction with the corresponding service data information that above-mentioned running status acquiring unit obtains, can judge whether monitored software is in " seemingly-dead " state.
Described data scrubbing unit, for gathering the hard-disk capacity of monitored equipment and clearing up redundant data; When performing cleaning, the remaining space size that described data scrubbing unit obtains monitored hard disk and the headspace size preset, the two is compared, when remaining space size is less than headspace size, formulate the file under catalogue in described data scrubbing unit reading hard disk and it is sorted according to creation-time, then deleting creation-time file the earliest; The remaining space size that after completing above-mentioned steps, data scrubbing unit obtains monitored hard disk again starts repetition above-mentioned steps, until remaining space size is greater than headspace size.The execution of this data scrubbing unit according to predetermined time, can be periodically perform, also can be fail to perform when getting the valid data information that need report to the police exceeding Preset Time.
Described data storage cell, to go forward side by side row relax, parsing and storage for obtaining service data information and abnormal data information.After receiving data, according to the standard preset, data storage cell judges whether data are valid data, according to result of determination, invalid data is dropped, valid data are resolved packet content then, obtain running software data message and abnormal data information, store respectively according to different data contents.Here, the criterion of valid data is configured setting as required, such as, the verification msg without practical significance can be regarded as invalid data.
Described connection status acquiring unit, for obtaining the connection data information between peripheral hardware (external equipment) that monitored equipment is connected with it; This connection data information is also obtained by described data storage cell.Described connection status acquiring unit periodically calls the communication protocol Ping order (PacketInternetGroper of monitored equipment system, the Internet packets survey meter) send ICMP (InternetControlMessagesProtocol to its external equipment, i.e. internet letter report control protocol), whether normal according to the connection that ICMPecho (ICMP Echo Reply) content is come between judgment device and the peripheral hardware be connected, if normal, Echo Reply is normal network delay time; Occur extremely if connected, the mistake that returns of Ping order is RequestTimedOut or DestinationHostUnreachable.Connection status acquiring unit, according to the return information of Ping order, judges the connection status of monitored equipment and its peripheral hardware, generates connection data information.
Described data query lead-out unit, for gathering information data, supports that temporally scope carries out statistical conversion.According to user's request, data query lead-out unit reads the valid data in described data storage cell, per year, monthly or by the time range of specifying by statistical conversion in excel form.
Described first network communication unit, for obtaining service data information and abnormal data information, and the second network communication unit passed to; Described second network communication unit, for receiving service data information and abnormal data information and passing to described data storage cell.First network communication unit by obtain data message by data packet transmission to second network communication unit.Above-mentioned two network communication units by TCP/IP(TransmissionControlProtocol/InternetProtocol, transmission control protocol/Internet Protocol) mode connect.The form of packet is:
For ensureing that between first network communication unit and second network communication unit, network connects, the communication protocol Ping order that communication check unit periodically calls second network communication unit sends ICMP to first network communication unit, judge that whether the connection status of first network communication unit and second network communication unit is normal according to ICMPecho (ICMP Echo Reply) content, if normal, Echo Reply is normal network delay time; Occur extremely if connected, the mistake that returns of Ping order is RequestTimedOut or DestinationHostUnreachable.Connect and occur that then first network communication unit and second network communication unit can start disconnection reconnecting mechanism extremely, re-start network and connect.The data message of grid cell generating network exception also stores, for inquiry.
In addition, based on the realization of warning function and configuration feature, the present embodiment also comprises alarm unit and basic configuration module;
Alarm unit, for obtaining in data storage cell the valid data information needing to report to the police; Whether dissimilar valid data information is that the valid data information correspondence needing to report to the police independently presets filtering policy.Such as, whether service data information is need the filtering policy of effective service data information of reporting to the police: this effective service data information and preset value are contrasted, when error exceedes threshold value, then this effective service data information is the effective service data information needing to report to the police.Again such as, whether abnormal data information is need the filtering policy of the effective anomaly data message of reporting to the police: transfer effective anomaly data message, determine the time point of the last ini file content change with this abnormal data information gathering time point, when this time point and the time interval of this acquisition time exceed threshold value, transfer the running status that corresponding effective service data information determines acquisition time monitored software, if monitored software is in opening, then this effective anomaly data message is the effective anomaly information needing to report to the police.
Basic configuration module, comprises operating user interface unit and device management unit, and for being configured the state parameter of whole monitoring system, this state parameter comprises the execution cycle of each functional unit, the filtering policy etc. of each data message.
Each functional unit above-mentioned, running status acquiring unit, abnormal data monitoring means, data scrubbing unit, first network communication unit and connection status acquiring unit are positioned at client 1, and data storage cell, data query lead-out unit, second network communication unit and communication check unit are positioned at service end 2.Second network communication unit in service end 2 passes through the first network communication unit in the client 1 of IP address and port numbers identification, and so, when multiple client 1 is connected to uniform service end 2 respectively, the data that each client 1 transmits can not be obscured.
Fig. 2 shows the flow process that the present invention realizes the software operation state monitoring of data self-inspection and self-cleaning.In conjunction with the data self-inspection of above-mentioned application the method and the software operation state monitoring system of self-cleaning, concrete steps of the present invention are:
The data message of S1, collection monitored equipment;
The filtering policy that S2, basis pre-set, filters out valid data information and stores from obtained data message; And
S3, basis are preset the warning policy filtering arranged and are gone out the valid data information that need report to the police, and report to the police and record;
The hard-disk capacity of S4, retrieval monitored equipment, cleaning redundant data;
Step S4 is performed according to predetermined time;
Step S1 comprises the sub-step S11 gathering monitored equipment and its external equipment connection data information, the sub-step S12 gathering the service data information of monitored equipment software and gathers the sub-step S13 of abnormal data information of monitored equipment software;
Step S11 comprises:
The communication protocol Ping order that S111, connection status acquiring unit call monitored equipment sends an ICMP to the external equipment be connected with this monitored equipment;
The ICMPecho content of S112, acquisition; Generate connection data information.
Step S11 performs according to the loop cycle preset, once occur that the connection status of monitored equipment and its external equipment and preset state are not inconsistent, then the O&M function self-checking system of the present embodiment stops automatically, and gives the alarm.
Step S12 comprises:
S121, running status acquiring unit call the task manager of monitored equipment;
S122, according to the monitored software startup time point of the process record in this task manager, the shut-in time point and running time; Generating run data message;
Step S13 comprises:
S131, abnormal data acquiring unit call the task manager of monitored equipment;
S132, according to configuration software title and address, in task manager, determine the process of monitored software;
S133, monitor corresponding ini file according to the title of monitored software and address; Generate abnormal data information.
In step S2, data storage cell filters out effective service data information, effective anomaly data message and effective connection data information according to preset strategy from the data message that step S11, S12 and S13 obtain, and stores respectively.
The filter method filtering effective service data information that needs are reported to the police in step s3 is:
Transfer effective service data information, this effective service data information and preset value are contrasted, when error exceedes threshold value, then this effective service data information is the effective service data information needing to report to the police.
The filter method filtering the effective anomaly data message that needs are reported to the police in described step S3 is:
Transfer effective anomaly data message, determine the time point of the last ini file content change with this abnormal data information gathering time point, when this time point and the time interval of this acquisition time exceed threshold value, transfer the running status that corresponding effective service data information determines acquisition time monitored software, if monitored software is in opening, then this effective anomaly data message is the effective anomaly information needing to report to the police.
In step S3, the chip of data storage cell exceedes Preset Time when failing to get the valid data information that need report to the police, and performs the hard-disk capacity of step S4, retrieval monitored equipment, cleaning redundant data;
Step S4 comprises:
S401, described data scrubbing unit obtain the remaining space size of monitored hard disk and default headspace size;
S402, when remaining space size is less than headspace size, under deleting assigned catalogue, (specific implementation describes existing above creation-time file the earliest, do not repeat them here), then perform step S401, until remaining space size is greater than headspace size.
The present invention is combined with configuration file monitoring mode by thread monitoring mode, efficiently solves the problem of software " seemingly-dead " phenomenon of monitoring; Meanwhile, the monitored software that causes because monitored equipment hard disk remaining space the is not enough phenomenon without actual functional capability is also overcomed.The state parameter of multiple software can carry out focusing on and unified management in the system of the present invention, the effectively amount of simplifying the operation; There is connection status monitoring function, the unusual condition of self-checking system itself can be monitored in time, the more complete reliability that ensure that monitoring.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. a software operation state monitoring method for data self-inspection and self-cleaning, is characterized in that, comprising:
The data message of S1, collection monitored equipment;
The filtering policy that S2, basis pre-set, filters out valid data information and stores from obtained data message; And
S3, basis are preset the warning policy filtering arranged and are gone out the valid data information that need report to the police, and report to the police and record;
The hard-disk capacity of S4, retrieval monitored equipment, cleaning redundant data;
Step S4 is performed according to predetermined time;
Described step S1 comprises the sub-step S13 of the sub-step S12 of the service data information gathering monitored equipment software and the abnormal data information of collection monitored equipment software;
Step S12 comprises:
S121, call the task manager of monitored equipment;
S122, according to the monitored software startup time point of the process record in this task manager, the shut-in time point and running time; Generating run data message;
Step S13 comprises:
S131, call the task manager of monitored equipment;
S132, according to configuration software title and address, in task manager, determine the process of monitored software;
S133, monitor corresponding ini file according to the title of monitored software and address; Generate abnormal data information.
2. the software operation state monitoring method of data self-inspection according to claim 1 and self-cleaning, is characterized in that, the filter method filtering effective service data information that needs are reported to the police in described step S3 is:
Transfer effective service data information, this effective service data information and preset value are contrasted, when error exceedes threshold value, then this effective service data information is the effective service data information needing to report to the police;
The filter method filtering the effective anomaly data message that needs are reported to the police in described step S3 is:
Transfer effective anomaly data message,
Determine the time point of the last ini file content change with this abnormal data information gathering time point,
When this time point and the time interval of this acquisition time exceed threshold value,
Transfer the running status that corresponding effective service data information determines acquisition time monitored software, if monitored software is in opening, then this effective anomaly data message is the effective anomaly information needing to report to the police.
3. the software operation state monitoring method of data self-inspection according to claim 1 and self-cleaning, it is characterized in that, in step S3, exceed Preset Time when failing to get the valid data information that need report to the police, perform the hard-disk capacity of step S4, retrieval monitored equipment, cleaning redundant data;
Step S4 comprises:
S401, the remaining space size obtaining monitored hard disk and default headspace size;
S402, when remaining space size is less than headspace size, delete creation-time file the earliest under assigned catalogue, then perform step S401, until remaining space size is greater than headspace size.
4., according to the software operation state monitoring method of the arbitrary described data self-inspection of claim 1-3 and self-cleaning, it is characterized in that, described step S1 also comprises the sub-step S11 gathering monitored equipment and its external equipment connection data information;
S11 comprises:
S111, the communication protocol Ping order of calling monitored equipment send an ICMP to the external equipment be connected with this monitored equipment;
The ICMPecho content of S112, acquisition; Generate connection data information.
5. a software operation state monitoring system for data self-inspection and self-cleaning, is characterized in that, comprises running status acquiring unit, data scrubbing unit, abnormal data monitoring means and data storage cell;
Described running status acquiring unit, for gathering the service data information of software in monitored equipment;
Described abnormal data monitoring means, the designated software for gathering monitored equipment be in operation occur abnormal data information;
Described data scrubbing unit, for gathering the hard-disk capacity of monitored equipment and clearing up redundant data;
Described data storage cell, to go forward side by side row relax, parsing and storage for obtaining service data information and abnormal data information.
6. the software operation state monitoring system of data self-inspection according to claim 5 and self-cleaning, is characterized in that, also comprises connection status acquiring unit;
Described connection status acquiring unit, for obtaining the connection data information between peripheral hardware that monitored equipment is connected with it; This connection data information is also obtained by described data storage cell.
7. the software operation state monitoring system of data self-inspection according to claim 5 and self-cleaning, is characterized in that, also comprises data query lead-out unit;
Described data query lead-out unit, for gathering information data, supports that temporally scope carries out statistical conversion.
8., according to the software operation state monitoring system of the arbitrary described data self-inspection of claim 5-7 and self-cleaning, it is characterized in that, also comprise first network communication unit and second network communication unit;
Described first network communication unit, for obtaining service data information and abnormal data information, and the second network communication unit passed to;
Described second network communication unit, for receiving service data information and abnormal data information and passing to described data storage cell.
9. the software operation state monitoring system of data self-inspection according to claim 8 and self-cleaning, is characterized in that, also comprises communication check unit;
Communication check unit, for detecting the connection state information of first network communication unit and second network communication unit.
10. the software operation state monitoring system of data self-inspection according to claim 8 and self-cleaning, it is characterized in that, described running status acquiring unit, described data scrubbing unit, described abnormal data monitoring means and first network communication unit are arranged at client, described data storage cell and second network communication unit are arranged at service end, and described service end is by the IP address of client and the port identification data message from different clients.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106371927A (en) * | 2016-09-09 | 2017-02-01 | 深圳创维数字技术有限公司 | Linux daemon process realization method and system |
| CN106713038A (en) * | 2016-12-28 | 2017-05-24 | 中国银联股份有限公司 | Remote transmission line quality detection method and remote transmission line quality detection system |
| CN106708646A (en) * | 2016-12-22 | 2017-05-24 | 郑州云海信息技术有限公司 | Hard disk abnormal condition automatic resetting method and device thereof |
| CN107577595A (en) * | 2017-07-14 | 2018-01-12 | 捷开通讯(深圳)有限公司 | Communication apparatus software detecting method, electronic equipment and the device with store function |
| CN108206769A (en) * | 2017-12-26 | 2018-06-26 | 中国移动通信集团江苏有限公司 | Method, apparatus, equipment and the medium of screen quality alarm |
| CN108572894A (en) * | 2018-03-15 | 2018-09-25 | 北京雷石天地电子技术有限公司 | A kind of equipment detection method and system |
| CN108804278A (en) * | 2017-05-04 | 2018-11-13 | 苏州睿途网络科技有限公司 | A kind of software monitors system and its business model |
| CN107888408B (en) * | 2017-09-29 | 2021-07-02 | 广东核电合营有限公司 | System and method for improving connection reliability of network measurement equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070022327A1 (en) * | 2005-07-20 | 2007-01-25 | Fujitsu Limited | Computer-readable recording medium recording system performance monitoring program, and system performance monitoring method and apparatus |
| CN103188103A (en) * | 2011-12-31 | 2013-07-03 | 成都勤智数码科技股份有限公司 | Self-monitoring method of network management system |
| CN103365755A (en) * | 2012-03-27 | 2013-10-23 | 台达电子工业股份有限公司 | Host monitoring and exception handling method for cloud side system |
| CN103544091A (en) * | 2013-10-31 | 2014-01-29 | 北京国双科技有限公司 | Method and device for monitoring Windows process |
| CN104461830A (en) * | 2014-12-19 | 2015-03-25 | 北京奇虎科技有限公司 | Method and device for monitored progress |
-
2015
- 2015-06-29 CN CN201510364599.1A patent/CN105119767A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070022327A1 (en) * | 2005-07-20 | 2007-01-25 | Fujitsu Limited | Computer-readable recording medium recording system performance monitoring program, and system performance monitoring method and apparatus |
| CN103188103A (en) * | 2011-12-31 | 2013-07-03 | 成都勤智数码科技股份有限公司 | Self-monitoring method of network management system |
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