CN109445971A - Exception information detection method, device, terminal and storage medium - Google Patents
Exception information detection method, device, terminal and storage medium Download PDFInfo
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- CN109445971A CN109445971A CN201811055070.1A CN201811055070A CN109445971A CN 109445971 A CN109445971 A CN 109445971A CN 201811055070 A CN201811055070 A CN 201811055070A CN 109445971 A CN109445971 A CN 109445971A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0766—Error or fault reporting or storing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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- Bioinformatics & Computational Biology (AREA)
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Abstract
The present invention relates to a kind of exception information detection method, device, terminal and storage mediums, this method comprises: obtaining the abnormal data of the default process record in setting time；The abnormal data is the operation data under program exception operating condition；Anomaly statistics result is generated according to the abnormal data；The anomaly statistics result is sent to monitoring client.Program exception information can automatically detect using the above method or device or terminal, without artificially being judged again, quickly and efficiently realize the detection of exception information.
Description
Technical field
The present invention relates to program anomaly detection technical fields, and in particular to a kind of exception information detection method, device, terminal
And storage medium.
Background technique
With popularizing for network application, more and more equipment solve the problems in people's Working Life by program,
It offers convenience as people's life.Such as website, mobile phone client program etc..Normal operation to guarantee program is inevitable
Need to program carry out later maintenance.Such as it needs to carry out later maintenance, existing skill to website in the use process of website
It is that the exception error that website occurs is recorded in log mostly, operation maintenance personnel is checked log and analyzed log in art
It is abnormal can to determine whether that the page occurs later, if need amendment in time.In such cases, operation maintenance personnel checks day
The artificial analysis log content of needs can just know whether that appearance is abnormal when will, can not directly know whether that exception goes out
It is existing, lead to the low efficiency of abnormality detection.
Summary of the invention
In view of this, it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of exception information detection method,
Device, terminal and storage medium.It is abnormal to solve the problems, such as whether artificial determining program occurs.
In order to achieve the above object, the present invention adopts the following technical scheme:
A kind of exception information detection method, comprising:
Obtain the abnormal data of the default process record in setting time；The abnormal data is program exception operating condition
Under operation data；
Anomaly statistics result is generated according to the abnormal data；
The anomaly statistics result is sent to monitoring client.
Optionally, the abnormal data in the default exception information table obtained in setting time specifically includes:
The abnormal data in the default exception information table in setting time is obtained by predetermined period.
Optionally, the abnormal data is stored in default exception information table.
Optionally, the anomaly statistics result is the statistical form that record has the abnormal data.
Optionally, the statistical form is Excel table.
Optionally, the monitoring client includes: the client of maintenance personal.
Optionally, the client is webpage mailbox；Or instant communication software.
Optionally, the abnormal data includes: abnormal log content, abnormal time of origin；
And any one or any combination in operation pages, operation class, execution method and system access hot spot.
A kind of exception information detection device, comprising:
Abnormal data obtains module, for obtaining the abnormal data of the record of the default process in setting time；The exception
Data are the operation data under program exception operating condition；
Anomaly statistics result-generation module, for generating anomaly statistics result according to the abnormal data；
Abnormal sending module, for sending the anomaly statistics result to monitoring client.
Optionally, the abnormal data obtains module and specifically includes: by predetermined period obtain in setting time preset it is different
Abnormal data in normal information table.
Optionally, the anomaly statistics result is the statistical form that record has the abnormal data.
Optionally, the statistical form is Excel table.
Optionally, the monitoring client includes: the client of maintenance personal.
Optionally, the client is webpage mailbox；Or instant communication software.
A kind of exception information detection terminal, comprising:
Processor, and the memory being connected with the processor；
For storing computer program, the computer program is at least used to execute exception described above the memory
Information detecting method；
The processor is for calling and executing the computer program in the memory.
Optionally, the terminal is that the terminal of operation website and/or the terminal in operation data library and/or operation client are soft
The terminal of part.
A kind of storage medium, the storage medium are stored with computer program, and the computer program is executed by processor
When, realize each step in exception information detection method as described above.
Technical solution provided by the present application can include the following benefits:
A kind of exception information detection method is protected in the application, including obtaining in the default exception information table in setting time
Abnormal data；The abnormal data is the operation data under program exception operating condition；It is generated according to the abnormal data different
Normal statistical result；The anomaly statistics result is sent to monitoring client.It is not only able to detect whether exception automatically in the above method
Occur, and is the operation data under program exception operating condition, institute due to presetting the abnormal data stored in exception information table
With can be by obtaining the abnormal data in default exception information table directly determine whether have abnormal generation, when getting abnormal number
According to when directly conclude there is abnormal generation, anomaly statistics result can be sent to monitoring client, operation maintenance personnel is received according to monitoring client
Anomaly statistics result carries out corresponding operation and maintenance, greatly improves the efficiency of abnormality detection.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the exception information detection method flow chart that one embodiment of the invention provides；
Fig. 2 is the exception information detection device module map that one embodiment of the invention provides；
Fig. 3 is the exception information detection terminal structure figure that one embodiment of the invention provides.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work
Other embodiment belongs to the range that the present invention is protected.
Fig. 1 is the exception information detection method flow chart that one embodiment of the invention provides.Referring to Fig. 1, a kind of exception information
Detection method, comprising:
Step 101: obtaining the abnormal data of the default process record in setting time；The abnormal data is program exception
Operation data under operating condition；
Step 102: anomaly statistics result is generated according to the abnormal data；
Step 103: sending the anomaly statistics result to monitoring client.
Wherein, abnormal data is stored in default exception information table, which saves in the database.This
Anomaly statistics result is the statistical form that record has the abnormal data in application；The statistical form is Excel table.Further,
Monitoring client includes: the client of maintenance personal in the application.Client is webpage mailbox；Or instant communication software.Simultaneously more
Further, abnormal data includes: abnormal log content, abnormal time of origin in the application；And operation pages, operation class,
Execute any one or any combination in method and system access hot spot.
Further, the abnormal data obtained in the above method in the default exception information table in setting time specifically wraps
It includes: obtaining the abnormal data in the default exception information table in setting time by predetermined period.
It should be noted that anomaly statistics result is not limited only to the excel table text in the application in the application
Part can be other files, as long as the file of abnormal data can be saved, therefore the anomaly statistics result in the application
It can be preset according to user demand.While it is noted that monitoring client is not limited only to webpage postal in the application
Case and instant communication software can be any program that can be realized transmission file, and the selection of monitoring client can be according to user's need
It once to set.Monitoring client can be the softwares such as wechat, qq, mailbox in the application.
Meanwhile the data that include of the abnormal data in the application are also not limited only to the data in the application, it can be with
It presets according to the demand of user.If the need arises, the concrete operations for accessing the user of website can also all be grabbed
In abnormal data, website visiting hot spot is collected.
Wherein, the length of setting time when abnormal data in the acquisition setting time in the application is not unique,
It can be according to presetting the time according to the demand of user.Meanwhile the selection of the length of time of the predetermined period in the application
It is not unique, it can preset according to the demand of user.
Now specifically introduce exception information detection method in the application:
The abnormal data of the default process record in setting time is obtained according to predetermined period, which is stored in pre-
If in exception information table, presetting exception information table is preset form document, it is used to save routine and is in misoperation shape
The operation data of program when state.It is then indicated when getting the abnormal data in certain time period in time period at the program
In abnormal operating condition, anomaly statistics are then obtained as a result, anomaly statistics result herein is that record has according to abnormal data at this time
The statistical form of the abnormal data, statistical form herein are Excel table, then send out the excel table for having anomaly statistics result
Give monitoring client.It wherein, is that the excel table is sent by way of mail to monitoring client in the application.When maintenance personnel receives
After the mail, related data when can know that program is abnormal according to the data in table, such as: abnormal log content,
Abnormal time of origin, operation class, executes method at operation pages, is known that the time being abnormal, reason according to these data
Etc. relevant informations, and then cracking can carry out corresponding maintenance work.
Using the detection method of above-mentioned exception information, Maintenance free personnel check program running log, more Maintenance free people
Member goes whether determining program operation exception occurs according to log again, can automatically detect abnormal letter by the application above method
Breath, and exception information is sent to maintenance personal, after maintenance personal receives exception information, then it can directly conclude and have occurred
It is abnormal, corresponding maintenance operation is carried out according to the exception information received.Whether the above method can automatically detect in the application has
It is abnormal to occur, the effect of abnormality detection is greatly improved, manpower is saved, provides working efficiency, promotes consumer products body
It tests.
Corresponding to a kind of exception information detection method provided in an embodiment of the present invention, the embodiment of the present invention also provides a kind of different
Normal information detector.See below embodiment.
Fig. 2 is the exception information detection device module map that one embodiment of the invention provides.Referring to fig. 2, a kind of exception information
Detection device, comprising:
Abnormal data obtains module 201, for obtaining the abnormal data of the record of the default process in setting time；It is described different
Regular data is the operation data under program exception operating condition；
Anomaly statistics result-generation module 202, for generating anomaly statistics result according to the abnormal data；
Abnormal sending module 203, for sending the anomaly statistics result to monitoring client.
Wherein, abnormal data obtains module 201 and specifically includes: the default abnormal letter in setting time is obtained by predetermined period
Cease the abnormal data in table.
Wherein, anomaly statistics result is the statistical form that record has the abnormal data, and statistical form herein is Excel table.
Abnormal sending module 203 specifically includes: sending the abnormal data Excel table to maintenance personal's mailbox.Monitoring client includes: maintenance
The client of personnel；Client is webpage mailbox；Or instant communication software.
Abnormal data includes: abnormal log content, abnormal time of origin and/or operation pages and/or operates class and/or hold
Row method and/or system access hot spot.
It, can be with it should be noted that the abnormal data in the application is not limited only to the data being related in the application
It presets according to the demand of user.Such as the concrete operations for accessing the user of website can all be grabbed in abnormal data, it receives
Collect website visiting hot spot.
Whether can automatically detect using above-mentioned apparatus has abnormal generation, at the same Maintenance free personnel carry out again it is relevant different
The often judgement that whether occurs directly can directly conclude by receiving abnormal data and exception has occurred, and then according to exception
Data carry out corresponding maintenance operation.
In order to more clearly introduce the hardware system for realizing the embodiment of the present invention, correspond to provided in an embodiment of the present invention one
Kind exception information detection method, the embodiment of the present invention also provide a kind of exception information detection terminal.See below embodiment.
Fig. 3 is the exception information detection terminal structure figure that one embodiment of the invention provides.Referring to Fig. 3, a kind of exception information
Detect terminal, comprising:
Processor 301, and the memory 302 being connected with the processor；
For storing computer program, the computer program is at least used to execute described above the memory 302
Exception information detection method；
The processor 301 is for calling and executing the computer program in the memory 302.
In the present embodiment, due to using the control method of above-described multi-line system outdoor fan, have
Similar beneficial effect, details are not described herein again.
Further, a kind of storage medium is also disclosed in the application, storage medium is stored with computer program, described
When computer program is executed by processor, each step in exception information detection method as described above is realized.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments
Unspecified content may refer to the same or similar content in other embodiments.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (17)
1. a kind of exception information detection method characterized by comprising
Obtain the abnormal data of the default process record in setting time；The abnormal data is under program exception operating condition
Operation data；
Anomaly statistics result is generated according to the abnormal data；
The anomaly statistics result is sent to monitoring client.
2. exception information detection method according to claim 1, which is characterized in that described to obtain presetting in setting time
Abnormal data in exception information table specifically includes:
The abnormal data in the default exception information table in setting time is obtained by predetermined period.
3. exception information detection method according to claim 1, which is characterized in that the abnormal data be stored in preset it is different
In normal information table.
4. exception information detection method according to claim 1, which is characterized in that the anomaly statistics result is that record has
The statistical form of the abnormal data.
5. exception information detection method according to claim 4, which is characterized in that the statistical form is Excel table.
6. described in any item exception information detection methods according to claim 1~5, which is characterized in that the monitoring client includes:
The client of maintenance personal.
7. exception information detection method according to claim 6, which is characterized in that the client is webpage mailbox；Or
Person's instant communication software.
8. exception information detection method according to claim 1, which is characterized in that the abnormal data includes: abnormal day
Will content, abnormal time of origin；
And any one or any combination in operation pages, operation class, execution method and system access hot spot.
9. a kind of exception information detection device characterized by comprising
Abnormal data obtains module, for obtaining the abnormal data of the record of the default process in setting time；The abnormal data
For the operation data under program exception operating condition；
Anomaly statistics result-generation module, for generating anomaly statistics result according to the abnormal data；
Abnormal sending module, for sending the anomaly statistics result to monitoring client.
10. exception information detection device according to claim 9, which is characterized in that the abnormal data obtains module tool
Body includes: the abnormal data in the default exception information table obtained in setting time by predetermined period.
11. exception information detection device according to claim 9, which is characterized in that the anomaly statistics result is record
There is the statistical form of the abnormal data.
12. exception information detection device according to claim 11, which is characterized in that the statistical form is Excel table.
13. according to the described in any item exception information detection devices of claim 9~12, which is characterized in that the monitoring client packet
It includes: the client of maintenance personal.
14. exception information detection device according to claim 13, which is characterized in that the client is webpage mailbox；
Or instant communication software.
15. a kind of exception information detects terminal characterized by comprising
Processor, and the memory being connected with the processor；
The memory is at least used for perform claim and requires any one of 1-8 for storing computer program, the computer program
The exception information detection method；
The processor is for calling and executing the computer program in the memory.
16. exception information according to claim 15 detects terminal, which is characterized in that the terminal is to run the end of website
The terminal of the terminal and/or operation client software in end and/or operation data library.
17. a kind of storage medium, which is characterized in that the storage medium is stored with computer program, the computer program quilt
When processor executes, realize such as each step in the described in any item exception information detection methods of claim 1-8.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811055070.1A CN109445971A (en) | 2018-09-11 | 2018-09-11 | Exception information detection method, device, terminal and storage medium |
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| CN201811055070.1A CN109445971A (en) | 2018-09-11 | 2018-09-11 | Exception information detection method, device, terminal and storage medium |
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| CN110203789A (en) * | 2019-05-05 | 2019-09-06 | 日立楼宇技术（广州）有限公司 | Method for detecting abnormality, device and the elevator detection system of elevator measurement data |
| CN113049935A (en) * | 2021-03-04 | 2021-06-29 | 长鑫存储技术有限公司 | Semiconductor intelligent detection system, intelligent detection method and storage medium |
| CN116662096A (en) * | 2022-12-12 | 2023-08-29 | 荣耀终端有限公司 | Fault debugging method and electronic equipment |
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Application publication date: 20190308 |