CN110687851A - Terminal operation monitoring system and method - Google Patents
Terminal operation monitoring system and method Download PDFInfo
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- CN110687851A CN110687851A CN201911049535.7A CN201911049535A CN110687851A CN 110687851 A CN110687851 A CN 110687851A CN 201911049535 A CN201911049535 A CN 201911049535A CN 110687851 A CN110687851 A CN 110687851A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- 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
- G05B2219/24024—Safety, surveillance
Abstract
The invention discloses a terminal operation monitoring system, which comprises: the system comprises a data acquisition module, a data judgment module, a data processing module, a data display module and a database; the database stores a data rule word bank which is used for setting different parameter thresholds and calculation rules for the operation data of different data types; the data acquisition module is used for acquiring the operation data of the terminal equipment to obtain operation data; the data judgment module is used for judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type; the data processing module is used for performing calculation processing according to the operation data and the corresponding parameter threshold and calculation rule thereof to obtain an analysis result of the operation data; and the data display module is used for receiving and displaying the analysis result.
Description
Technical Field
The invention relates to the technical field of system monitoring, in particular to a terminal operation monitoring system and a terminal operation monitoring method.
Background
The operation monitoring of the system terminal is an important way for realizing the stability detection of the system and providing necessary support data for the safe operation of the system. Currently, the operation monitoring mode of a system terminal is to judge through the operation result of a monitoring terminal, and when the operation of the terminal fails, the fault reason of the terminal is analyzed to discharge the fault; however, the conventional operation monitoring method cannot timely find the problem of possible faults of the terminal in the operation process, and cannot predict the faults in advance and avoid the faults.
The government office information system has the characteristics of large service quantity, complex service flow, large number of users and the like, and has higher requirements on safe and reliable basic software and hardware integration for supporting the operation of the government office information system. When the traditional terminal operation monitoring method is used for monitoring a government office information system with mass data, the monitoring defect is more obvious, the analysis and the investigation of the fault reasons have extremely low processing efficiency when the mass data are processed, and the repair work of the system fault is seriously influenced.
Disclosure of Invention
The invention provides a terminal operation monitoring system and a method, which are used for judging the type of terminal operation data in the operation of equipment, analyzing and processing the operation data by combining a parameter threshold and a calculation rule, and then displaying the operation data, so that the technical problem that the fault of a terminal possibly occurs in the operation process cannot be found in time by a traditional operation monitoring method is solved, the fault condition of system equipment is found in time by analyzing and processing the operation data in the operation of the equipment, the massive data is prevented from being checked and processed after the fault occurs, the processing efficiency of system fault is improved, and the fault repairing work of the system is improved.
In order to solve the above technical problem, an embodiment of the present invention provides a terminal operation monitoring system, including: the system comprises a data acquisition module, a data judgment module, a data processing module, a data display module and a database;
the database stores a data rule word bank which is used for setting different parameter thresholds and calculation rules for the operation data of different data types;
the data acquisition module is used for acquiring the operation data of the terminal equipment to obtain operation data;
the data judgment module is used for judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
the data processing module is used for performing calculation processing according to the operation data and the corresponding parameter threshold and calculation rule thereof to obtain an analysis result of the operation data;
and the data display module is used for receiving and displaying the analysis result.
As a preferred scheme, the data acquisition module comprises a software acquisition unit and a hardware acquisition unit; the software acquisition unit is used for acquiring software operation data of a software program operated in the terminal equipment to obtain the software operation data; the hardware acquisition unit is used for acquiring hardware operation data of hardware equipment operated in the terminal equipment to obtain the hardware operation data.
As a preferred scheme, the database further stores a data type lexicon, and the data type lexicon is used for storing identification rules corresponding to different operation data types, so that the data type of the operation data is judged by the data judgment module according to the data type lexicon.
As a preferred scheme, the data acquisition module performs periodic sectional acquisition on the operating data through a preset time period.
Preferably, the data processing module includes:
the coefficient operation unit is used for calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data;
the threshold comparison unit is used for comparing the actual coefficient with a parameter threshold corresponding to the operating data;
and the early warning analysis unit is used for judging the state type of the operation data according to the actual coefficient and the value of the parameter threshold, and carrying out early warning analysis according to the state type to obtain an analysis result.
As a preferred scheme, the early warning analysis unit comprises:
the first analysis subunit is used for determining that the running data is in a normal state when the actual coefficient is smaller than the parameter threshold value, and taking the running data in the current normal state as an analysis result;
the second analysis subunit is used for determining that the operation data is in a general abnormal state when the actual coefficient is equal to the parameter threshold value, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result;
and the third analysis subunit is used for determining that the operation data is in a special abnormal state when the actual coefficient is greater than the parameter threshold, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of faults to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data of the marked early warning signal.
Preferably, the data display module includes:
the state classification unit is used for receiving the analysis result of the operation data in real time and classifying the normal operation state and the abnormal type operation state of the analysis result;
the first set unit is used for classifying and integrating the operating data in the normal operating state and setting a related analysis result, and a first data set is obtained by set;
the second set unit is used for classifying and integrating the running data in the abnormal running state, setting a related analysis result, marking and warning, and collecting to obtain a second data set;
the graphic processing unit is used for respectively carrying out graphic processing on the first data set and the second data set to obtain graphic data for normal operation and graphic data for abnormal operation;
and the graphic display unit is used for uploading the normal operation graphic data and the abnormal operation graphic data to a control center and displaying the data.
The embodiment of the invention provides a terminal operation monitoring method, which comprises the following steps:
setting a data rule word bank, wherein the data rule word bank comprises different parameter thresholds and calculation rules which are respectively set for operation data of different data types;
acquiring operation data of the terminal equipment to obtain operation data;
judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
calculating according to the operation data and the corresponding parameter threshold and calculation rule thereof to obtain an analysis result of the operation data;
and receiving and displaying the analysis result.
As a preferred scheme, the performing calculation processing according to the operation data and the parameter threshold and the calculation rule corresponding thereto to obtain an analysis result of the operation data includes:
calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data;
comparing the actual coefficient with a parameter threshold corresponding to the operating data;
judging to obtain the state type of the operating data according to the actual coefficient and the value of the parameter threshold, and performing early warning analysis according to the state type to obtain an analysis result;
the method comprises the following steps of obtaining a state type of the operation data according to the value of the actual coefficient and the parameter threshold, and carrying out early warning analysis according to the state type to obtain an analysis result, wherein the method specifically comprises the following steps:
when the actual coefficient is smaller than the parameter threshold value, determining that the operation data is in a normal state, and taking the operation data in the current normal state as an analysis result;
when the actual coefficient is equal to the parameter threshold value, determining that the operation data is in a general abnormal state, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result;
and when the actual coefficient is larger than the parameter threshold value, determining that the operation data is in a special abnormal state, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of the faults to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data of the marked early warning signal.
Preferably, the receiving and displaying the analysis result includes:
receiving an analysis result of the operation data in real time, and classifying the analysis result into a normal operation state and an abnormal type operation state;
classifying and integrating the running data in the normal running state, and setting a related analysis result to obtain a first data set in a set manner;
classifying and integrating the running data in the abnormal running state, setting a related analysis result, marking and warning, and collecting to obtain a second data set;
respectively carrying out graphical processing on the first data set and the second data set to obtain graphical data of normal operation and graphical data of abnormal operation;
and uploading the normal operation graphical data and the abnormal operation graphical data to a control center and displaying the normal operation graphical data and the abnormal operation graphical data.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention judges the type of the terminal operation data in the operation of the equipment, analyzes and processes the operation data by combining the parameter threshold and the calculation rule, and displays the operation data, thereby solving the technical problem that the traditional operation monitoring method can not find the possible fault of the terminal in the operation process in time, finding the fault condition of the system equipment in time by analyzing and processing the operation data in the operation of the equipment, avoiding carrying out troubleshooting processing on mass data after the fault occurs, further realizing the improvement of the processing efficiency of the system fault and helping to perfect the system fault repairing work.
Drawings
FIG. 1: the invention is a schematic structural diagram of a terminal operation monitoring system;
FIG. 2: the invention is a flow chart of the steps of the terminal operation monitoring method.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, in an embodiment, 2608 sets of domestic autonomous controllable terminals are deployed by a government and public institution, and a large-scale application of ten thousand sets of terminals is planned to be formed before 2019, in view of the large number of domestic autonomous controllable terminal users, a certain gap is still left between the running stability and the maturity of a domestic autonomous controllable terminal and a foreign mainstream X86 terminal, so as to ensure the running stability, safety and reliability of the domestic autonomous controllable terminal, the domestic autonomous controllable terminal needs to be monitored in real time, and the method includes: the occupation of the memory, the occupancy rate of the CPU, the thread number and the graphical monitoring interface are provided, the running state of the virtual machine is monitored in real time, and errors occurring in the monitoring are fed back in time. The project develops a domestic autonomous controllable CPU/OS terminal operation monitoring system, monitors domestic autonomous controllable terminals deployed and used by a government and public institution in real time, monitors software and hardware such as an operating system, a CPU, a memory, a hard disk and the like in real time, provides a visual monitoring interface, displays the current operation states of various software and hardware in real time, feeds back errors generated during monitoring in time, collects the problem of errors of the terminals, feeds back domestic autonomous controllable manufacturers for improvement, improves the completeness and improves the use experience of users.
Referring to fig. 1, a preferred embodiment of the present invention provides a terminal operation monitoring system, including: the system comprises a data acquisition module, a data judgment module, a data processing module, a data display module and a database;
the database stores a data rule word bank which is used for setting different parameter thresholds and calculation rules for the operation data of different data types; in this embodiment, the database further stores a data type lexicon, and the data type lexicon is used for storing identification rules corresponding to different operation data types, so that the data type of the operation data is determined by the data determination module according to the data type lexicon.
Specifically, a database is pre-established for storing data rules set by a user according to needs, and the data rules comprise a data rule word bank and a data type word bank. Taking an embodiment as an example, the embodiment plans to collect start data of a software program, running data of the software program, start data of a hardware device, and running data of the hardware device, where the running data of the hardware device includes a CPU occupation value, a memory occupation size, a hard disk rotation speed, a CPU temperature, and the like, and the running data of the software device includes response time of an operating system and response frequency of the program. Then, the data type thesaurus is to perform type classification configuration on the operation data, and the data collected by the plan is known, and the data types in this embodiment include: CPU occupation, memory value, hard disk rotating speed, CPU temperature, response time, response frequency and the like. The identification rule is used for identifying data marks carried by the acquired data, such as: when the current rotating speed of the hard disk is 1000 revolutions per second, the data of the data collector is recorded as 1000 r/s; the preset identification rule in the data type word bank is as follows: and r/s is the rotation speed of the hard disk, namely, the current rotation speed of the hard disk is identified to be 1000 r/s. The data rule word bank is used for presetting a threshold value for the currently acquired running data, for example, if the rotating speed of a hard disk configured by the current system is only normal when being 800r/s, and the rotating speed of the currently acquired hard disk is as high as 1000r/s, obviously, the 1000r/s is more than the 800r/s threshold value, so that whether the current data is subjected to early warning or not can be judged. The calculation rule is used for further analyzing the data after the early warning so that the working personnel can take corresponding remedial measures.
It should be noted that the calculation rule and the parameter threshold may be modified according to actual needs, and the implementation manner in this embodiment is only one example of the present technical solution, and is not used to limit the scope of the present technical solution.
The data acquisition module is used for acquiring the operation data of the terminal equipment to obtain operation data; in this embodiment, the data acquisition module includes a software acquisition unit and a hardware acquisition unit; the software acquisition unit is used for acquiring software operation data of a software program operated in the terminal equipment to obtain the software operation data; the hardware acquisition unit is used for acquiring hardware operation data of hardware equipment operated in the terminal equipment to obtain the hardware operation data. In this embodiment, the data acquisition module performs periodic sectional acquisition on the operating data through a preset time period.
Specifically, the data acquisition can be performed on software programs and hardware devices running on the system through the acquisition device. The software acquisition data comprises software starting data and software running data, and the hardware acquisition data comprises hardware starting data and hardware running data. In an embodiment, the data collected by the collector includes a hard disk rotation speed and a response frequency of the operating system software, and in the collection, the hard disk rotation speed is 1000r/s, and the response frequency of the operating system software is 12Hz, then the data obtained by the data collection module will be: 1000r/s, 12 Hz.
The data judgment module is used for judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
firstly, type judgment is carried out on data obtained by a data acquisition module, 1000r/s is identified through a data type word bank, and accordingly the rotating speed of a hard disk is 1000r/s through identification; 12Hz is identified through the data type word bank, and therefore the response frequency of the operating system software obtained through identification is 12 Hz. And selecting a parameter threshold and a calculation rule corresponding to the hard disk rotating speed in the data rule word bank according to the hard disk rotating speed obtained by identification, and selecting a parameter threshold and a calculation rule corresponding to the response frequency of the operating system software in the data rule word bank according to the response frequency of the operating system software obtained by identification.
The data processing module is used for performing calculation processing according to the operation data and the corresponding parameter threshold and calculation rule thereof to obtain an analysis result of the operation data;
according to the method, the threshold value of the hard disk rotating speed in the data rule word bank is 800r/s in advance, the currently acquired hard disk rotating speed is as high as 1000r/s, and obviously, the 1000r/s is larger than the 800r/s threshold value, and the current hard disk rotating speed is judged to be in an abnormal state. The data of the abnormal state can be further analyzed through a preset calculation rule, so that a worker can take corresponding remedial measures. Similarly, the same processing procedure is adopted to judge the response frequency of the operating system software.
And the data display module is used for receiving and displaying the analysis result. And summarizing analysis results obtained by analyzing and processing the data processing module, uploading the analysis results to a monitoring center in real time, and displaying the analysis results through a display to remind a worker to warn the operation monitoring condition of the system and carry out corresponding fault repairing work.
Referring to fig. 2, for the terminal operation monitoring system in the first embodiment, a terminal operation monitoring method may be provided, which includes the following steps:
step one, setting a data rule word bank, wherein the data rule word bank comprises different parameter thresholds and calculation rules which are respectively set for operation data of different data types;
acquiring operation data of the terminal equipment to obtain operation data;
step three, judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
calculating according to the operation data, the corresponding parameter threshold value and the calculation rule thereof to obtain an analysis result of the operation data;
and step five, receiving and displaying the analysis result.
The system for monitoring the operation of the domestic autonomous controllable terminal supports more than 200 sets of domestic autonomous controllable terminals of a customs government and public institution to monitor important information such as a terminal CPU, an internal memory, a disk capacity, a process number, a monitoring error and the like in real time in a graphical interface mode and the like.
In a second embodiment, an improvement is made on the basis of the first embodiment, and the data processing module includes: the coefficient operation unit is used for calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data; the threshold comparison unit is used for comparing the actual coefficient with a parameter threshold corresponding to the operating data; and the early warning analysis unit is used for judging the state type of the operation data according to the actual coefficient and the value of the parameter threshold, and carrying out early warning analysis according to the state type to obtain an analysis result.
In this embodiment, the early warning analysis unit includes: the first analysis subunit is used for determining that the running data is in a normal state when the actual coefficient is smaller than the parameter threshold value, and taking the running data in the current normal state as an analysis result; the second analysis subunit is used for determining that the operation data is in a general abnormal state when the actual coefficient is equal to the parameter threshold value, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result; and the third analysis subunit is used for determining that the operation data is in a special abnormal state when the actual coefficient is greater than the parameter threshold, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of faults to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data of the marked early warning signal.
It can be seen that when the status of the operation data is determined, the operation data can be generally classified into three statuses, namely, a normal status, a general abnormal status, and a special abnormal status. And then different treatments are performed for the three different degrees of operating conditions.
In the preset calculation rule, it can be set as: in a normal state, no processing is performed and the output is directly performed; in general abnormal state, outputting the operation data after early warning marking; and in particular, in an abnormal state, the operation data is early-warned and marked, then whether the current operation data can cause more serious system faults or not is calculated, and the calculation prediction result is output in combination with the operation data with the marked early-warning signal.
As can be seen from the above, in the present embodiment, the preset calculation rule is substantially only to perform calculation processing on the operation data in the special abnormal state, for example: when the detected hard disk rotation speed is 1000r/s, obviously, the 1000r/s is greater than the 800r/s threshold value, that is, the current hard disk rotation speed is in a special abnormal state, the current hard disk rotation speed needs to be further calculated, and adverse fault influence on a system can not be brought. In the preset calculation rule, the following value of the hard disk rotation speed S may be set: when S is more than 800r/S and less than or equal to 900r/S, the temperature of system equipment rises, and the condition of hardware loss can occur; when S is more than 900r/S and less than or equal to 1000r/S, the temperature of system equipment continuously rises seriously, and the conditions of hard disk channel damage and reduced operation efficiency can occur; when the speed is 1000r/S < S, the system equipment is in load operation, and a system halt condition can occur. It can be seen that according to the preset calculation rule, the current hard disk rotation speed of 1000r/s belongs to the second setting rule, the temperature of the system equipment continuously rises seriously, and the conditions of hard disk track damage and operation efficiency reduction may occur; then, the analysis result obtained by the data processing module at this time is that the temperature of the current system device continuously rises seriously, and the conditions of hard disk channel damage and reduced operation efficiency may occur.
For the terminal operation monitoring system of the second embodiment, a terminal operation monitoring method may be provided, which includes the following steps:
step one, setting a data rule word bank, wherein the data rule word bank comprises different parameter thresholds and calculation rules which are respectively set for operation data of different data types;
acquiring operation data of the terminal equipment to obtain operation data;
step three, judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
calculating according to the operation data, the corresponding parameter threshold value and the calculation rule thereof to obtain an analysis result of the operation data; wherein, the fourth step specifically comprises:
s4.1, calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data;
s4.2, comparing the actual coefficient with a parameter threshold corresponding to the running data;
s4.3, judging to obtain the state type of the operating data according to the actual coefficient and the numerical value of the parameter threshold, and performing early warning analysis according to the state type to obtain an analysis result;
wherein, the step S4.3 specifically comprises the following steps:
s4.31, when the actual coefficient is smaller than the parameter threshold value, determining that the operation data is in a normal state, and taking the operation data in the current normal state as an analysis result;
s4.32, when the actual coefficient is equal to the parameter threshold value, determining that the operation data is in a general abnormal state, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result;
and S4.33, when the actual coefficient is larger than the parameter threshold value, determining that the operation data is in a special abnormal state, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of the fault to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data marked with the early warning signal.
And step five, receiving and displaying the analysis result.
In a third embodiment, an improvement is made on the basis of the second embodiment, and the data display module includes: the state classification unit is used for receiving the analysis result of the operation data in real time and classifying the normal operation state and the abnormal type operation state of the analysis result; the first set unit is used for classifying and integrating the operating data in the normal operating state and setting a related analysis result, and a first data set is obtained by set; the second set unit is used for classifying and integrating the running data in the abnormal running state, setting a related analysis result, marking and warning, and collecting to obtain a second data set; the graphic processing unit is used for respectively carrying out graphic processing on the first data set and the second data set to obtain graphic data for normal operation and graphic data for abnormal operation; and the graphic display unit is used for uploading the normal operation graphic data and the abnormal operation graphic data to a control center and displaying the data.
Therefore, in the embodiment, in order to make the analysis result data more visualized, the analysis result data is graphically processed, and a data result expressed in a graphical manner is generated and displayed, so that the analysis result is clear to the staff, the information of the fault condition can be acquired at the first time, the fault repairing efficiency is further improved, and the user experience is improved.
For the terminal operation monitoring system of the third embodiment, a terminal operation monitoring method may be provided, which includes the following steps:
step one, setting a data rule word bank, wherein the data rule word bank comprises different parameter thresholds and calculation rules which are respectively set for operation data of different data types;
acquiring operation data of the terminal equipment to obtain operation data;
step three, judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
calculating according to the operation data, the corresponding parameter threshold value and the calculation rule thereof to obtain an analysis result of the operation data; wherein, the fourth step specifically comprises:
s4.1, calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data;
s4.2, comparing the actual coefficient with a parameter threshold corresponding to the running data;
s4.3, judging to obtain the state type of the operating data according to the actual coefficient and the numerical value of the parameter threshold, and performing early warning analysis according to the state type to obtain an analysis result;
wherein, the step S4.3 specifically comprises the following steps:
s4.31, when the actual coefficient is smaller than the parameter threshold value, determining that the operation data is in a normal state, and taking the operation data in the current normal state as an analysis result;
s4.32, when the actual coefficient is equal to the parameter threshold value, determining that the operation data is in a general abnormal state, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result;
and S4.33, when the actual coefficient is larger than the parameter threshold value, determining that the operation data is in a special abnormal state, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of the fault to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data marked with the early warning signal.
Step five, receiving and displaying the analysis result; wherein, step five specifically includes:
s5.1, receiving an analysis result of the operation data in real time, and classifying the analysis result into a normal operation state and an abnormal type operation state;
s5.2, classifying and integrating the running data in the normal running state, setting a related analysis result, and collecting to obtain a first data set;
s5.3, classifying and integrating the operation data in the abnormal operation state, setting a related analysis result, marking and warning, and collecting to obtain a second data set;
s5.4, respectively carrying out graphical processing on the first data set and the second data set to obtain graphical data of normal operation and graphical data of abnormal operation;
and S5.5, uploading the normal operation graphical data and the abnormal operation graphical data to a control center and displaying the normal operation graphical data and the abnormal operation graphical data.
The technical solution of the present invention has advantages including, but not limited to, the following:
1. supporting the process control of a safe and reliable device system;
2. supporting the statistical management of the safe and reliable equipment state;
3. safe and reliable equipment and system resource management are supported;
4. safe and reliable equipment and system use record management are supported;
5. safe and reliable equipment and system connection rule management are supported;
6. safe and reliable equipment and operations such as restarting and shutdown are supported;
7. the method supports checking the use conditions of the safe and reliable equipment such as the capacities of a CPU (Central processing Unit), a memory and a disk, and supports checking the system process information, the CPU model, the operating system version and the like;
8. the method supports webpage online modification of terminal configuration information, including connection request frequency and the like;
9. support statistics safe and reliable terminal monitoring state, include: normal, alarm, abnormal, shutdown, etc.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. A terminal operation monitoring system, comprising: the system comprises a data acquisition module, a data judgment module, a data processing module, a data display module and a database;
the database stores a data rule word bank which is used for setting different parameter thresholds and calculation rules for the operation data of different data types;
the data acquisition module is used for acquiring the operation data of the terminal equipment to obtain operation data;
the data judgment module is used for judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
the data processing module is used for performing calculation processing according to the operation data and the corresponding parameter threshold and calculation rule thereof to obtain an analysis result of the operation data;
and the data display module is used for receiving and displaying the analysis result.
2. The terminal operation monitoring system of claim 1, wherein the data acquisition module comprises a software acquisition unit and a hardware acquisition unit; the software acquisition unit is used for acquiring software operation data of a software program operated in the terminal equipment to obtain the software operation data; the hardware acquisition unit is used for acquiring hardware operation data of hardware equipment operated in the terminal equipment to obtain the hardware operation data.
3. The terminal operation monitoring system according to claim 1, wherein the database further stores a data type lexicon, and the data type lexicon is used for storing identification rules corresponding to different operation data types, so that the data type of the operation data is determined by the data determining module according to the data type lexicon.
4. The terminal operation monitoring system according to claim 1, wherein the data collection module collects the operation data periodically and sectionally by a preset time period.
5. The terminal operation monitoring system of claim 1, wherein the data processing module comprises:
the coefficient operation unit is used for calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data;
the threshold comparison unit is used for comparing the actual coefficient with a parameter threshold corresponding to the operating data;
and the early warning analysis unit is used for judging the state type of the operation data according to the actual coefficient and the value of the parameter threshold, and carrying out early warning analysis according to the state type to obtain an analysis result.
6. The terminal operation monitoring system of claim 5, wherein the early warning analysis unit comprises:
the first analysis subunit is used for determining that the running data is in a normal state when the actual coefficient is smaller than the parameter threshold value, and taking the running data in the current normal state as an analysis result;
the second analysis subunit is used for determining that the operation data is in a general abnormal state when the actual coefficient is equal to the parameter threshold value, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result;
and the third analysis subunit is used for determining that the operation data is in a special abnormal state when the actual coefficient is greater than the parameter threshold, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of faults to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data of the marked early warning signal.
7. The terminal operation monitoring system of claim 6, wherein the data display module comprises:
the state classification unit is used for receiving the analysis result of the operation data in real time and classifying the normal operation state and the abnormal type operation state of the analysis result;
the first set unit is used for classifying and integrating the operating data in the normal operating state and setting a related analysis result, and a first data set is obtained by set;
the second set unit is used for classifying and integrating the running data in the abnormal running state, setting a related analysis result, marking and warning, and collecting to obtain a second data set;
the graphic processing unit is used for respectively carrying out graphic processing on the first data set and the second data set to obtain graphic data for normal operation and graphic data for abnormal operation;
and the graphic display unit is used for uploading the normal operation graphic data and the abnormal operation graphic data to a control center and displaying the data.
8. A terminal operation monitoring method is characterized by comprising the following steps:
setting a data rule word bank, wherein the data rule word bank comprises different parameter thresholds and calculation rules which are respectively set for operation data of different data types;
acquiring operation data of the terminal equipment to obtain operation data;
judging the data type of the operation data after the operation data is obtained, and identifying and selecting a corresponding parameter threshold value and a corresponding calculation rule through a data rule word bank according to the obtained data type;
calculating according to the operation data and the corresponding parameter threshold and calculation rule thereof to obtain an analysis result of the operation data;
and receiving and displaying the analysis result.
9. The method for monitoring terminal operation according to claim 8, wherein the performing calculation processing according to the operation data and the corresponding parameter threshold and calculation rule to obtain the analysis result of the operation data comprises:
calculating the operation data according to a calculation rule corresponding to the operation data to obtain an actual coefficient of the operation data;
comparing the actual coefficient with a parameter threshold corresponding to the operating data;
judging to obtain the state type of the operating data according to the actual coefficient and the value of the parameter threshold, and performing early warning analysis according to the state type to obtain an analysis result;
the method comprises the following steps of obtaining a state type of the operation data according to the value of the actual coefficient and the parameter threshold, and carrying out early warning analysis according to the state type to obtain an analysis result, wherein the method specifically comprises the following steps:
when the actual coefficient is smaller than the parameter threshold value, determining that the operation data is in a normal state, and taking the operation data in the current normal state as an analysis result;
when the actual coefficient is equal to the parameter threshold value, determining that the operation data is in a general abnormal state, and marking the operation data in the current general abnormal state with an early warning signal to serve as an analysis result;
and when the actual coefficient is larger than the parameter threshold value, determining that the operation data is in a special abnormal state, marking an early warning signal on the operation data in the current special abnormal state, calculating and predicting the possibility of the faults to be generated by a software program or hardware equipment under the operation data, and taking the calculation prediction result as an analysis result by combining the operation data of the marked early warning signal.
10. The method for monitoring terminal operation according to claim 9, wherein the receiving and displaying the analysis result comprises:
receiving an analysis result of the operation data in real time, and classifying the analysis result into a normal operation state and an abnormal type operation state;
classifying and integrating the running data in the normal running state, and setting a related analysis result to obtain a first data set in a set manner;
classifying and integrating the running data in the abnormal running state, setting a related analysis result, marking and warning, and collecting to obtain a second data set;
respectively carrying out graphical processing on the first data set and the second data set to obtain graphical data of normal operation and graphical data of abnormal operation;
and uploading the normal operation graphical data and the abnormal operation graphical data to a control center and displaying the normal operation graphical data and the abnormal operation graphical data.
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