CN110609537A - Remote data monitoring and diagnosing device - Google Patents
Remote data monitoring and diagnosing device Download PDFInfo
- Publication number
- CN110609537A CN110609537A CN201910850791.XA CN201910850791A CN110609537A CN 110609537 A CN110609537 A CN 110609537A CN 201910850791 A CN201910850791 A CN 201910850791A CN 110609537 A CN110609537 A CN 110609537A
- Authority
- CN
- China
- Prior art keywords
- data
- monitoring
- fault
- module
- computer
- 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
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The invention discloses a remote data monitoring and diagnosing device, which comprises a data monitoring module, a fault diagnosing module connected with the data monitoring module and a remote server capable of remotely communicating with the fault diagnosing module; the data monitoring module is used for comprehensively monitoring and acquiring data of a computer, the fault diagnosis module is used for receiving and processing the data acquired by the data monitoring module and finding and diagnosing fault reasons in time, and the remote server is used for displaying the monitored data and fault conditions and generating corresponding reports. By the mode, the method can be applied to the computer leasing market, and the leased computers are ensured to be within the controllable range of merchants by effectively positioning and monitoring data of each leased computer; and the fault of the computer is detected and diagnosed in real time, and the fault cause and the problem source are analyzed, so that measures are taken in time, the satisfaction degree of customers is improved, and the ordered development of the computer leasing market is promoted.
Description
Technical Field
The invention relates to the field of computer remote fault diagnosis, in particular to a remote data monitoring and diagnosing device.
Background
With the development of the shared economy and the gradual improvement of the social credit system, the leasing industry is gradually occupying the market. In various leased objects, a computer is taken as necessary office equipment with high depreciation rate and certain purchasing pressure, under the trend of light asset operation, the leasing requirement of the computer is increased day by day, a huge market is brought to the computer leasing industry, but the consideration of consumers on the fault condition of the leased computer is an important factor for restricting the development of the computer leasing industry. Therefore, remote data monitoring and diagnosis are needed to be carried out on a rented computer, and abnormity is discovered and measures are taken in time, so that the influence of faults is reduced, and the use experience of a user is improved.
A patent with publication number CN201126570 provides a computer fault remote diagnosis device, which is configured to detect a hardware fault of a computer by setting a fault diagnosis and information generation card in the computer, and transmit data on the card to a remote host through a network or a serial port, so as to perform fault diagnosis on the computer; however, the device can only diagnose the fault result, but cannot further analyze the cause of the fault, is difficult to perform fault liability assignment, and is not suitable for the computer rental market.
The patent with publication number CN108491308A provides a computer remote monitoring device, which can detect the temperature and pressure values of the computer motherboard by arranging the monitoring device in the computer; although the measured temperature and pressure values can help to analyze the cause of the fault to a certain extent, a systematic analysis method is not formed in the device, and the device can only be used for fault alarm and cannot effectively diagnose the fault, so that the device has certain limitations.
Therefore, there is still a need for a more comprehensive remote data monitoring and diagnosing apparatus for computer rental market, which can implement effective diagnosis of fault result and cause thereof by fully collecting and analyzing computer remote data, thereby ensuring timely handling of fault and helping to reduce fault rate.
Disclosure of Invention
The invention aims to solve the problems, and provides a remote data monitoring and diagnosing device which can be used for comprehensively monitoring and acquiring the fault codes, the environmental parameters and the position information of a computer, and comprehensively diagnosing the fault result and the formation reason thereof based on the acquired data, so that the abnormality can be found in time and measures can be taken conveniently; and the data and the diagnosis results of all the monitored computers are summarized and analyzed, and the association condition among the faults is analyzed by utilizing a data mining technology, so that the potential hidden danger is predicted, and the fault rate is reduced.
In order to achieve the purpose, the invention adopts the technical scheme that:
a remote data monitoring and diagnosing device comprises a data monitoring module, a fault diagnosing module connected with the data monitoring module and a remote server capable of remotely communicating with the fault diagnosing module; the data monitoring module and the fault diagnosis module are arranged in a computer to be monitored, and the data monitoring module comprises a monitoring card, a sensor and a positioner and is respectively used for monitoring fault codes, environmental parameters and position information of the computer and acquiring data; the fault diagnosis module is used for receiving and processing the data acquired by the data monitoring module and transmitting the received data and a diagnosis result to the remote server; the remote server is used for sending a monitoring instruction, receiving the information transmitted by the fault diagnosis module, displaying the information on a display screen and generating a corresponding report.
Furthermore, the data monitoring module further comprises a data monitoring program, wherein the data monitoring program is embedded in the operating system of the computer to be monitored, is stored in a mainboard chip of the computer to be monitored, and is used for monitoring the heartbeat information of the operating system; and the data monitoring program outputs the monitored heartbeat information of the operating system to the fault diagnosis module through the monitoring driver.
Furthermore, the fault diagnosis module adopts a computer system power supply and dry battery double power supply mode, and is switched to a dry battery for supplying power when the computer system is powered off; the fault diagnosis module comprises a memory, a controller, a fault analysis unit and a remote communication unit; the input end of the memory is connected with the data monitoring module, and the output end of the memory is connected with the controller; the controller is connected with the fault analysis unit and is connected with the remote server through the remote communication unit.
Furthermore, the remote server comprises a processing module, a monitoring information storage module, a display module and a report generation module, wherein the processing module is connected with the controller through the remote communication unit, and the display module and the report generation module are respectively connected with the monitoring information storage module through the processing module; the processing module is used for sending a monitoring instruction to the controller and receiving and processing the information input by the controller.
Furthermore, the number of the computers to be monitored is a plurality of computers, and the controller arranged in each computer with monitoring is respectively connected with the processing module through the remote communication unit; the remote server also comprises a data analysis module which is connected with the processing module; the data analysis module is used for carrying out data mining on the fault information of each computer and analyzing the relevance among the faults.
Furthermore, the memory comprises a fault code storage unit, an environmental parameter storage unit, a position information storage unit and an operating system information storage unit, which are respectively electrically connected with the monitoring card, the sensor, the positioner and the mainboard chip of the data monitoring module, and are used for classifying and storing various kinds of monitoring data of the computer.
Furthermore, the monitoring card is arranged on a PCI slot of the computer to be monitored, and is used for extracting a detection result in the boot self-test process of the basic input and output system through a PCI bus and outputting the extracted detection result to the fault code storage unit in the memory.
Furthermore, the sensor and the positioner are arranged on a mainboard of a computer to be monitored, a battery is arranged in the sensor, and the sensor keeps working after the system is powered off; the sensors comprise a temperature sensor, a humidity sensor, a voltage sensor and a vibration sensor, and are respectively used for collecting temperature, humidity, voltage and vibration data of the computer to be monitored and outputting the data to an environmental parameter storage unit in the memory; the locator is used for locating the computer and outputting the position information to the position information storage unit in the memory.
Further, the controller is used for receiving and reading the monitoring instruction of the remote server, extracting various types of monitoring data in the memory, and controlling the fault analysis unit to perform fault analysis on the monitoring data; and reading the fault diagnosis information output by the fault analysis unit, and outputting the monitoring data and the fault diagnosis information to the remote server for display.
Further, the fault analysis unit comprises an operation control layer, a parameter detection layer and a fault diagnosis layer; the operation control layer is used for controlling various monitoring data to be detected through the parameter detection layer in order; the parameter detection layer is internally stored with a preset threshold range of various monitoring data and used for comparing the actual monitoring data with the preset range, judging whether an abnormality exists or not and outputting a detection result to the fault diagnosis layer; and the fault diagnosis layer is used for matching fault reasons according to the type of the abnormal data and the data deviation degree thereof and outputting fault diagnosis information.
Compared with the prior art, the invention has the beneficial effects that:
1. the remote data monitoring and diagnosing device provided by the invention can remotely and comprehensively monitor the data of the computer and automatically analyze and diagnose the data obtained by monitoring, thereby obtaining the corresponding fault result and the reason thereof, and being convenient for finding the abnormality and taking measures in time; meanwhile, the invention can also summarize the data and diagnosis results of all monitored computers to form a report and further analyze the fault source.
2. The invention comprehensively collects the fault codes, the environmental parameters and the position information of the computer, timely detects the hardware fault of the computer and analyzes the reason, helps to trace the source of the fault and provides a direction for the follow-up fault treatment and prevention; meanwhile, the invention also sets a data monitoring program in the operating system of the computer to be monitored, and further detects the software fault of the computer, thereby reflecting the running condition of the computer more comprehensively.
3. The invention collects the data and diagnosis results of all monitored computers and analyzes the correlation condition among faults in the data by adopting a data mining technology, thereby predicting potential hidden dangers, facilitating the taking of measures in advance and reducing the fault occurrence rate.
4. The remote data monitoring and diagnosing device provided by the invention can be applied to the computer leasing market, and can ensure that each leased computer is in the controllable range of a merchant by effectively positioning and monitoring data of each leased computer; and the fault of the computer is detected and diagnosed in real time, and the fault cause and the problem source are analyzed, so that measures are taken in time, the satisfaction degree of customers is improved, and the ordered development of the computer leasing market is promoted.
Drawings
FIG. 1 is a functional block diagram of a remote data monitoring and diagnostic device of the present invention;
FIG. 2 is a main flow chart of a remote data monitoring and diagnosing apparatus for data monitoring and diagnosing according to the present invention;
fig. 3 is a flow chart of the remote data monitoring and diagnosing apparatus for fault analysis according to the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and thus will clearly and clearly define the scope of the invention. It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without any inventive step, are within the scope of the present invention.
Examples
Referring to fig. 1, an embodiment of the present invention provides a remote data monitoring and diagnosing apparatus, including a data monitoring module, a fault diagnosing module connected to the data monitoring module, and a remote server capable of remotely communicating with the fault diagnosing module; the data monitoring module and the fault diagnosis module are arranged in a computer to be monitored, and the data monitoring module comprises a monitoring card, a sensor, a locator and a data monitoring program and is respectively used for monitoring fault codes, environmental parameters, position information and operating system information of the computer and acquiring data; the fault diagnosis module is used for receiving and processing the data acquired by the data monitoring module and transmitting the received data and a diagnosis result to the remote server; the remote server is used for sending a monitoring instruction, receiving the information transmitted by the fault diagnosis module, displaying the information on a display screen and generating a corresponding report.
The fault diagnosis module adopts a computer system power supply and dry battery double power supply mode, and is switched to a dry battery to supply power when the computer system is powered off; the fault diagnosis module comprises a memory, a controller, a fault analysis unit and a remote communication unit; the input end of the memory is connected with the data monitoring module, and the output end of the memory is connected with the controller; the controller is connected with the fault analysis unit and is connected with the remote server through the remote communication unit.
Specifically, the memory includes a fault code storage unit, an environmental parameter storage unit, a location information storage unit and an operating system information storage unit, which are respectively electrically connected to the monitoring card, the sensor, the locator and the motherboard chip of the data monitoring module, and are used for storing various types of monitoring data of the computer in a classified manner.
The monitoring card is arranged on a PCI slot of a computer to be monitored and used for extracting a detection result in the starting self-detection process of the basic input and output system through a PCI bus and outputting the extracted detection result to a fault code storage unit in the memory; and the monitoring card is also internally provided with a monitoring driving program for driving the data monitoring program.
The data monitoring program is embedded in an operating system of the computer to be monitored, stored in a mainboard chip of the computer to be monitored and used for monitoring information of the operating system; and the data monitoring program outputs the monitored operating system information to the fault diagnosis module through the monitoring driver.
The sensor and the positioner are arranged on a mainboard of a computer to be monitored, and a battery is arranged in the sensor and keeps working after the system is powered off; the sensors comprise a temperature sensor, a humidity sensor, a voltage sensor and a vibration sensor, and are respectively used for collecting temperature, humidity, voltage and vibration data of the computer to be monitored and outputting the data to an environmental parameter storage unit in the memory; the locator is used for locating the computer and outputting the position information to the position information storage unit in the memory.
The controller is used for receiving and reading the monitoring instruction of the remote server, extracting various monitoring data in the memory and controlling the fault analysis unit to carry out fault analysis on the monitoring data; and reading the fault diagnosis information output by the fault analysis unit, and outputting the number information, the monitoring data and the fault diagnosis information of the monitored computer to the remote server for displaying.
The fault analysis unit comprises an operation control layer, a parameter detection layer and a fault diagnosis layer; the operation control layer is used for controlling various monitoring data to be detected through the parameter detection layer in order; the parameter detection layer is internally stored with a preset threshold range of various monitoring data and used for comparing the actual monitoring data with the preset range, judging whether an abnormality exists or not and outputting a detection result to the fault diagnosis layer; and the fault diagnosis layer is used for matching fault reasons according to the type of the abnormal data and the data deviation degree thereof and outputting fault diagnosis information.
In this embodiment, the number of the computers to be monitored is 1000, and the computers are numbered 0001 to 1000, and the controller disposed in each computer with monitoring is connected to the remote server through the remote communication unit. The remote server comprises a processing module, a monitoring information storage module, a display module, a report generation module and a data analysis module, wherein the processing module is connected with the controller through the remote communication unit, the display module and the report generation module are respectively connected with the monitoring information storage module through the processing module, and the data analysis module is connected with the processing module; the processing module is used for sending a monitoring instruction to the controller and receiving and processing information input by the controller; the data analysis module is used for carrying out data mining on the fault information of each computer and analyzing the relevance among the faults.
Referring to fig. 2, when the remote data monitoring and diagnosing apparatus provided in this embodiment needs to start remote data monitoring and diagnosing, a processing module in the remote server sends a monitoring instruction to a controller in each computer to be monitored through the remote communication unit, and after the controller receives the monitoring instruction, the controller extracts data in the memory and sends a fault analysis instruction to the fault analysis unit, so as to control the fault analysis unit to perform fault analysis on the extracted data.
The data in the memory comprises information of an operating system acquired by a data monitoring program, fault code information acquired by a monitoring card, environmental parameter information such as temperature, humidity, voltage and vibration acquired by a temperature sensor, a humidity sensor, a voltage sensor and a vibration sensor, and computer position information acquired by a positioner.
When the fault analysis unit receives a fault analysis instruction sent by the controller, the fault analysis is started, and the flow is shown in fig. 3, and the specific steps are as follows:
s1.1, extracting voltage data in environmental parameter information through an operation control layer, inputting the voltage data into a parameter detection layer, detecting whether the voltage data is 0 in the parameter detection layer, and outputting a detection result to a fault diagnosis layer;
s1.2, when the fault diagnosis layer receives a detection result that the voltage is 0, outputting 'no start-up' as a diagnosis result, extracting corresponding position information for outputting, and finishing fault analysis; when the fault diagnosis layer receives a detection result that the voltage is not 0, continuing to perform the next detection;
s1.3, extracting information of an operating system through an operation control layer, inputting the information into a parameter detection layer, detecting whether the information of the operating system is empty in the parameter detection layer, and outputting a detection result to a fault diagnosis layer;
s1.4, when the fault diagnosis layer receives a detection result that the information of the operating system is empty, outputting 'the operating system is not normally started' as a diagnosis result, extracting corresponding position information to output, and finishing fault analysis; when the fault diagnosis layer receives a detection result that the information of the operating system is not empty, continuing to perform the next detection;
s1.5, extracting fault code information through an operation control layer, inputting the fault code information into a parameter detection layer, matching the extracted fault code information with a prestored fault code of the computer input/output system in the parameter detection layer, detecting whether the matched fault code is normal or not, and outputting a detection result to a fault diagnosis layer;
s1.6, when the fault diagnosis layer receives a detection result indicating normal, outputting 'normal' as a diagnosis result, extracting corresponding position information for outputting, and finishing fault analysis; when the fault diagnosis layer receives a detection result indicating abnormal, the hardware fault is indicated, the fault code is saved, and the next detection is continued;
s1.7, extracting temperature, humidity, voltage and vibration information through the operation control layer, inputting the temperature, humidity, voltage and vibration information into the parameter detection layer, comparing the temperature, humidity, voltage and vibration information with preset threshold ranges of temperature, humidity, voltage and vibration data in the parameter detection layer, and outputting the parameter types exceeding the corresponding thresholds and the exceeding amplitudes to the fault diagnosis layer; after being received by the fault diagnosis layer, the fault code saved in the step S1.6 and the environmental parameter diagnosis information are jointly used as a diagnosis result and are expressed as 'fault XX, temperature T%, humidity W%, voltage U% and vibration V%', wherein XX represents the fault code and is output in sequence when the number of the codes is multiple, T%, W%, U% and V% respectively represent the deviation degrees of the temperature, the humidity, the voltage and the vibration and corresponding threshold values, integers represent the percentage exceeding the maximum value, negatives represent the percentage lower than the minimum value, and 0 represents that the fault code is in a normal range; and extracting corresponding position information and outputting the position information until the fault analysis is finished.
The data monitoring module and the fault diagnosis module in each computer to be monitored perform data monitoring and fault diagnosis on the computer to be monitored according to the mode, the obtained fault diagnosis information is read by the controller, the controller transmits the monitoring data and the fault diagnosis information to the processing module in the remote server through the remote communication unit, the processing module reads the monitoring data and the fault diagnosis information of each computer, the monitoring data and the fault diagnosis information are displayed by the display module and transmitted to the monitoring information storage module, and the monitoring data and the fault diagnosis information are stored according to the serial number, the data type and the time of the computer.
Meanwhile, a data analysis instruction is sent to a data analysis module through a processing module, the data analysis module is driven to carry out summary analysis on the monitored fault information of 1000 computers, and the relevance is mined, wherein the data analysis process mainly comprises the following steps:
s2.1, classifying the data in the monitoring information storage module as a data set according to fault categories, wherein the data comprises four plates including a non-startup plate, a non-normal startup plate, a normal plate and a fault plate, the four plates are respectively represented by A, B, C, D, and the fault plate D is divided into D according to different fault codes of the fault plate D1～DiI classes are divided into D classes according to the difference of the environmental parameter types with the maximum deviation from the normal rangej0、Dj1、Dj2、Dj3And Dj4Five subclasses respectively representing that the environmental parameters are normal, the temperature deviation is maximum, the humidity deviation is maximum, the voltage deviation is maximum and the vibration deviation is maximum;
s2.2, taking the fault information of each computer as an event, respectively calculating the occurrence probability of each fault, which is respectively expressed as P (A), P (B), P (C) and P (D)10)…P(Di4)；
S2.3, dividing each computer into E according to different production batches or purchasing batches1～EmClass, respectively calculating the fault occurrence rate of each class and the fault in the classFailure incidence under other classes of computers, analysis of the association between computer classes and failure classes, hereinafter denoted E1Category of computers and failure D10The correlation between the two is taken as an example to analyze and respectively carry out the fault D10At E1The probability of occurrence under the category and other computer categories is calculated as follows:
wherein, P (D)10) And P (E)1) Respectively represent a fault D10And computer E1Probability of total events;
P(D10|E1) Indicating a fault D10At E1Probability of occurrence under class, P (D)10|(E2+E3+E4) Represents a failure D10In the removal of E1Probability of occurrence under other categories;
s2.4, will fail D10At E1Probability of occurrence under class P (D)10|E1) And its probability of occurrence P (D) under other computer categories10|(E2+E3+E4) Comparing, and calculating a correlation degree R between the type of the fault and the type of the corresponding computer, wherein the correlation degree R is read by the processing module and displayed by the display module;
the calculation formula of the correlation degree R is as follows:
a larger numerical value of the degree of correlation R indicates E1Computer-like failure D10The higher the probability of (2), the more appropriate measures need to be taken in time.
In the embodiment, 10% and 50% are respectively used as detection and replacement thresholds, when the degree of association R is greater than 10% and less than 50%, the probability of occurrence of the fault in the computer is considered to be relatively high, corresponding components of the computer of the same type which are not rented need to be further checked, the computer of the same type which is rented pays close attention to the computer of the same type, and replacement parts are stored so as to be replaced when referred; when the association degree R is more than or equal to 50%, the occurrence probability of the fault under the computers is considered to be very high, corresponding parts of the same type of computers which are not rented need to be replaced, and the rented same type of computers can be replaced by a door so as to avoid the fault and reduce the overall fault occurrence rate.
In addition, when a corresponding report needs to be generated, a report generation instruction is input into the processing module, and after the report generation instruction is received and read by the processing module, the report generation module is controlled to classify and extract the data displayed by the display module and make a report, so that related workers can further summarize and analyze the report.
By the mode, the remote data monitoring device provided by the invention can be applied to the computer leasing market, and the leased computers are ensured to be in the controllable range of merchants by effectively positioning and monitoring data of each leased computer; and the fault of the computer is detected and diagnosed in real time, and the fault cause and the problem source are analyzed, so that measures are taken in time, the satisfaction degree of customers is improved, and the ordered development of the computer leasing market is promoted.
The above description is only for the purpose of illustrating the technical solutions of the present invention and is not intended to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; all the equivalent structures or equivalent processes performed by using the contents of the specification and the drawings of the invention, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A remote data monitoring and diagnosing apparatus, characterized in that: the system comprises a data monitoring module, a fault diagnosis module connected with the data monitoring module and a remote server capable of remotely communicating with the fault diagnosis module; the data monitoring module and the fault diagnosis module are arranged in a computer to be monitored, and the data monitoring module comprises a monitoring card, a sensor and a positioner and is respectively used for monitoring fault codes, environmental parameters and position information of the computer and acquiring data; the fault diagnosis module is used for receiving and processing the data acquired by the data monitoring module and transmitting the received data and a diagnosis result to the remote server; the remote server is used for sending a monitoring instruction, receiving the information transmitted by the fault diagnosis module, displaying the information on a display screen and generating a corresponding report.
2. The remote data monitoring and diagnosis device according to claim 1, wherein: the data monitoring module also comprises a data monitoring program, wherein the data monitoring program is embedded in an operating system of the computer to be monitored, is stored in a mainboard chip of the computer to be monitored, and is used for monitoring heartbeat information of the operating system; and the data monitoring program outputs the monitored operating system information to the fault diagnosis module through the monitoring driver.
3. The remote data monitoring and diagnosis device according to claim 2, wherein: the fault diagnosis module adopts a computer system power supply and dry battery double power supply mode, and is switched to a dry battery for supplying power when the computer system is powered off; the fault diagnosis module comprises a memory, a controller, a fault analysis unit and a remote communication unit; the input end of the memory is connected with the data monitoring module, and the output end of the memory is connected with the controller; the controller is connected with the fault analysis unit and is connected with the remote server through the remote communication unit.
4. A remote data monitoring and diagnosis apparatus as claimed in claim 3, wherein: the remote server comprises a processing module, a monitoring information storage module, a display module and a report generation module, wherein the processing module is connected with the controller through the remote communication unit, and the display module and the report generation module are respectively connected with the monitoring information storage module through the processing module; the processing module is used for sending a monitoring instruction to the controller and receiving and processing the information input by the controller.
5. The remote data monitoring and diagnosis device according to claim 4, wherein: the number of the computers to be monitored is a plurality of computers, and the controller arranged in each computer with monitoring is respectively connected with the processing module through the remote communication unit; the remote server also comprises a data analysis module which is connected with the processing module; the data analysis module is used for carrying out data mining on the fault information of each computer and analyzing the relevance among the faults.
6. A remote data monitoring and diagnosis apparatus as claimed in claim 3, wherein: the memory comprises a fault code storage unit, an environmental parameter storage unit, a position information storage unit and an operating system information storage unit, is respectively and electrically connected with a monitoring card, a sensor, a locator and a mainboard chip of the data monitoring module, and is used for classifying and storing various monitoring data of the computer.
7. The remote data monitoring and diagnosis device according to claim 6, wherein: the monitoring card is arranged on a PCI slot of a computer to be monitored and used for extracting a detection result in the starting self-detection process of the basic input and output system through a PCI bus and outputting the extracted detection result to a fault code storage unit in the memory.
8. The remote data monitoring and diagnosis device according to claim 6, wherein: the sensor and the positioner are arranged on a mainboard of a computer to be monitored, and a battery is arranged in the sensor and keeps working after the system is powered off; the sensors comprise a temperature sensor, a humidity sensor, a voltage sensor and a vibration sensor, and are respectively used for collecting temperature, humidity, voltage and vibration data of the computer to be monitored and outputting the data to an environmental parameter storage unit in the memory; the locator is used for locating the computer and outputting the position information to the position information storage unit in the memory.
9. The remote data monitoring and diagnosis device according to claim 6, wherein: the controller is used for receiving and reading the monitoring instruction of the remote server, extracting various monitoring data in the memory and controlling the fault analysis unit to carry out fault analysis on the monitoring data; and reading the fault diagnosis information output by the fault analysis unit, and outputting the monitoring data and the fault diagnosis information to the remote server for display.
10. The remote data monitoring and diagnosis device according to claim 9, wherein: the fault analysis unit comprises an operation control layer, a parameter detection layer and a fault diagnosis layer; the operation control layer is used for controlling various monitoring data to be detected through the parameter detection layer in order; the parameter detection layer is internally stored with a preset threshold range of various monitoring data and used for comparing the actual monitoring data with the preset range, judging whether an abnormality exists or not and outputting a detection result to the fault diagnosis layer; and the fault diagnosis layer is used for matching fault reasons according to the type of the abnormal data and the data deviation degree thereof and outputting fault diagnosis information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910850791.XA CN110609537A (en) | 2019-09-10 | 2019-09-10 | Remote data monitoring and diagnosing device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910850791.XA CN110609537A (en) | 2019-09-10 | 2019-09-10 | Remote data monitoring and diagnosing device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110609537A true CN110609537A (en) | 2019-12-24 |
Family
ID=68891138
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910850791.XA Pending CN110609537A (en) | 2019-09-10 | 2019-09-10 | Remote data monitoring and diagnosing device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110609537A (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000122716A (en) * | 1998-10-14 | 2000-04-28 | Ire System Hanbai Kk | Remote failure diagnosis monitor system |
| CN1508689A (en) * | 2002-12-19 | 2004-06-30 | 联想(北京)有限公司 | System and method for long-distace obtaining informtion of monitroed computer |
| CN1845077A (en) * | 2005-04-08 | 2006-10-11 | 联想(北京)有限公司 | Remote detection and control method for computer |
| CN201126570Y (en) * | 2007-10-24 | 2008-10-01 | 华南农业大学 | Remote diagnosis device for computer fault |
| CN202383661U (en) * | 2011-10-28 | 2012-08-15 | 武汉供电公司变电检修中心 | Fault diagnosing and repairing system for computer hardware and software |
| CN205334650U (en) * | 2016-01-15 | 2016-06-22 | 黄河科技学院 | Burglar alarm for computer room |
| CN105867269A (en) * | 2016-04-11 | 2016-08-17 | 武汉攀升兄弟科技有限公司 | Computer work environment management system |
| CN106681869A (en) * | 2016-11-23 | 2017-05-17 | 北海高创电子信息孵化器有限公司 | Computer fault detection system |
| CN206270944U (en) * | 2016-09-23 | 2017-06-20 | 重庆水利电力职业技术学院 | Computer-internal environmental monitoring system |
| CN207424854U (en) * | 2017-09-22 | 2018-05-29 | 武汉软件工程职业学院 | A kind of computer monitoring apparatus and system |
| CN108491308A (en) * | 2018-03-20 | 2018-09-04 | 黄河科技学院 | A kind of computer remote monitoring device |
| CN109408267A (en) * | 2018-10-08 | 2019-03-01 | 大连智识科技发展有限公司 | A kind of computer glitch detection system |
| CN109919338A (en) * | 2019-03-22 | 2019-06-21 | 国网上海市电力公司 | The safety Analysis method of relay protection device |
| CN110008093A (en) * | 2019-04-30 | 2019-07-12 | 昆山聚贝机械设计有限公司 | Computer remote monitoring system |
-
2019
- 2019-09-10 CN CN201910850791.XA patent/CN110609537A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000122716A (en) * | 1998-10-14 | 2000-04-28 | Ire System Hanbai Kk | Remote failure diagnosis monitor system |
| CN1508689A (en) * | 2002-12-19 | 2004-06-30 | 联想(北京)有限公司 | System and method for long-distace obtaining informtion of monitroed computer |
| CN1845077A (en) * | 2005-04-08 | 2006-10-11 | 联想(北京)有限公司 | Remote detection and control method for computer |
| CN201126570Y (en) * | 2007-10-24 | 2008-10-01 | 华南农业大学 | Remote diagnosis device for computer fault |
| CN202383661U (en) * | 2011-10-28 | 2012-08-15 | 武汉供电公司变电检修中心 | Fault diagnosing and repairing system for computer hardware and software |
| CN205334650U (en) * | 2016-01-15 | 2016-06-22 | 黄河科技学院 | Burglar alarm for computer room |
| CN105867269A (en) * | 2016-04-11 | 2016-08-17 | 武汉攀升兄弟科技有限公司 | Computer work environment management system |
| CN206270944U (en) * | 2016-09-23 | 2017-06-20 | 重庆水利电力职业技术学院 | Computer-internal environmental monitoring system |
| CN106681869A (en) * | 2016-11-23 | 2017-05-17 | 北海高创电子信息孵化器有限公司 | Computer fault detection system |
| CN207424854U (en) * | 2017-09-22 | 2018-05-29 | 武汉软件工程职业学院 | A kind of computer monitoring apparatus and system |
| CN108491308A (en) * | 2018-03-20 | 2018-09-04 | 黄河科技学院 | A kind of computer remote monitoring device |
| CN109408267A (en) * | 2018-10-08 | 2019-03-01 | 大连智识科技发展有限公司 | A kind of computer glitch detection system |
| CN109919338A (en) * | 2019-03-22 | 2019-06-21 | 国网上海市电力公司 | The safety Analysis method of relay protection device |
| CN110008093A (en) * | 2019-04-30 | 2019-07-12 | 昆山聚贝机械设计有限公司 | Computer remote monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10032019B2 (en) | System, method, and computer program product for detecting access to a memory device | |
| US7589624B2 (en) | Component unit monitoring system and component unit monitoring method | |
| US9195561B2 (en) | System and method for proactive management of an information handling system with in-situ measurement of end user actions | |
| Ebadollahi et al. | Predicting patient’s trajectory of physiological data using temporal trends in similar patients: a system for near-term prognostics | |
| JP6585482B2 (en) | Device diagnostic apparatus and system and method | |
| CN105474577B (en) | System and method for monitoring system performance and availability | |
| CN110088699A (en) | Information processing method, information processing system and information processing unit | |
| US20200092180A1 (en) | Methods and systems for microservices observability automation | |
| JP5480440B1 (en) | Abnormal sign diagnostic apparatus and abnormal sign diagnostic method | |
| CN106575282A (en) | Cloud computing system and method for advanced process control | |
| CN105531680A (en) | Remote monitoring system, remote monitoring method, and program | |
| US20210173357A1 (en) | Control method, control apparatus, mechanical equipment, and recording medium | |
| US20170257304A1 (en) | Systems and methods for monitoring system performance and availability | |
| AU2020226203A1 (en) | Power monitoring | |
| CN110687851A (en) | Terminal operation monitoring system and method | |
| US8253588B2 (en) | Facilitating power supply unit management using telemetry data analysis | |
| CN111555899B (en) | Alarm rule configuration method, equipment state monitoring method, device and storage medium | |
| CN110609537A (en) | Remote data monitoring and diagnosing device | |
| KR102108721B1 (en) | Computer fault diagnosis system using PCI-E interface | |
| WO2023101812A1 (en) | Systems and methods for identifying machine anomaly root cause | |
| US20150149827A1 (en) | Identifying a change to indicate a degradation within a computing device | |
| CN111382034A (en) | Computer fault alarm system | |
| US20230004476A1 (en) | Application failure tracking features | |
| US20230341844A1 (en) | Method and System for Diagnosing Messages | |
| EP4071571A1 (en) | Prediction apparatus, prediction method, and program |
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 |
Application publication date: 20191224 |
|
| RJ01 | Rejection of invention patent application after publication |