CN113138971A - Visual log analysis method, device and system - Google Patents
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Abstract
The application relates to a visual log analysis method, a device and a system, wherein the method comprises the steps of obtaining log data and obtaining a preset collection mark; collecting the collected information in the log data corresponding to the collected mark in the log data to form collected data; classifying the collected data according to a preset classification rule to form a plurality of collected data groups; loading and displaying the acquired log data in a text form; and simultaneously displaying a plurality of the collected data groups in a form of graphs respectively. The log data is displayed in a text form and a chart form, so that the data is more visual and the viewing is more convenient. The method and the device have the effects of high efficiency of loading and displaying data, high efficiency of storing data and high convenience in error positioning and performance analysis of the data.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method, an apparatus, and a system for visual log analysis.
Background
In the sensor industries of camera shooting, temperature, pressure and the like, especially in the industrial sensing application field, the requirement on the real-time performance of the sensor is high, and the sensor is generally required to be monitored; for this purpose, the sensing data are recorded and stored in a magnetic disk of the data generating device in a journaling manner, typically by means of software installed on the data generating device (physically connected to the sensor) side; the stored sensing data is analyzed and monitored, so that the fault of the sensor or the equipment fault is judged, and the purpose of fault diagnosis or test is further achieved.
For example, in the sensor industry, sensors are used to detect a physical value. In order to know the condition of the detected physical value, the detected data in a certain time period is derived.
The method of logging in the related art includes: writing the sensing data into a text file in the form of log character strings, texts or structured text languages such as JSON (Java Server object notation), XML (extensive Makeup language) and the like; and the staff opens the text file, browses the information in the text file, finds out the information and the position which can reflect the data abnormity according to the text content, and realizes error positioning and performance analysis.
For the related technologies, the inventor thinks that when recording real-time data of an industrial process, the number of character strings in a text file for generating a log is huge, for example, millions of character strings, the difficulty of a worker in searching and positioning abnormal data is very high, the error positioning and performance analysis of the data are time-consuming and labor-consuming, and the operation is relatively inconvenient visually.
Disclosure of Invention
In order to facilitate improvement of convenience of data error positioning and performance analysis, the application provides a visual log analysis method, device and system.
In a first aspect, the following technical scheme is adopted in the visual log analysis method provided by the application:
a visual log analysis method, comprising:
acquiring log data and acquiring a preset collection mark;
collecting the collected information in the log data corresponding to the collected mark in the log data to form collected data;
classifying the collected data according to a preset classification rule to form a plurality of collected data groups;
loading and displaying the acquired log data in a text form; and simultaneously displaying a plurality of the collected data groups in a form of graphs respectively.
By adopting the technical scheme, after the log data is acquired, partial information in the log data is collected according to the collection marks and then classified, and besides loading and displaying the data in a text form, the classified information is displayed in a chart form. On one hand, part of information collected from each log data is representative information, and the information is independently displayed, so that a worker can quickly perform error positioning and performance analysis when browsing the data, and the convenience of data error positioning and performance analysis in the log is improved; on the other hand, the collected data is displayed in a chart form, so that the method is more visual and convenient, and is beneficial to improving the convenience of staff for log data analysis.
Optionally, the collected information includes a generation time, a name, and a sensing value of each piece of log data;
before the displaying of the collected data sets in a form of a graph respectively, the method comprises the following steps:
screening out a preset number of collected data capable of reflecting the change trend in each collected data group according to a preset screening rule;
the step of displaying the plurality of collected data sets in a graph form respectively comprises:
and taking the generation time as an abscissa and the induction value as an ordinate, and making the collected data capable of showing the change trend in the collected data group into a scatter diagram, a broken line diagram, a spline graph or a bar graph.
By adopting the technical scheme, the generation time of the log data is an abscissa, the induction value is an ordinate, one collected data forms one point in a scatter diagram or a line diagram, and a plurality of collected data in the same collected data group form a plurality of points. When checking log data, a worker can easily know the difference degree of values between adjacent data or find the position of error data, and convenience in performance analysis of a data error positioning machine in the log is facilitated to be improved.
Optionally, the method further includes:
forming a time axis according to the generation time;
the time axis is associated with the abscissa of the graph formed by each collected data group, and the abscissa of the graph formed by each collected data group is changed synchronously with the time axis when the time axis is dragged.
By adopting the technical scheme, the quantity of the collected data is continuously increased along with the continuous generation of the log data, the number of the points in the corresponding chart is continuously increased, and the time axis is convenient for the staff to check the previously generated collected data, so that the change form of the whole log data is analyzed. And one time shaft can drive a plurality of charts to move simultaneously, and the operation is convenient and fast.
Optionally, the generation time of each log data in the log data loaded and displayed in the text form is associated with a point formed by the corresponding generation time and the induction value in the corresponding graph, and the log data in the text form associated with the point is loaded and displayed when the point in the graph is selected.
By adopting the technical scheme, when a worker finds an abnormal value through the graph or wants to check log data associated with a certain value, the worker can obtain corresponding data in a text form by selecting the corresponding point in the graph, so that the worker can conveniently analyze the log data.
Optionally, when the text-form log data associated with the point is loaded and displayed, several pieces of text-form log data adjacent to the generation time of the piece of text-form log data are loaded and displayed.
By adopting the technical scheme, besides the log data associated with the corresponding point, a plurality of pieces of log data adjacent to the log data are loaded, so that the worker can know the cause and consequence of the abnormal log data, a conclusion can be better obtained, and the worker can conveniently analyze the log data.
Optionally, the step of loading and displaying the acquired log data in a text form includes:
loading and displaying part of data in the log data according to a preset initial screening condition;
obtaining screening conditions;
and loading and displaying corresponding data in the log data according to the screening conditions.
By adopting the technical scheme, when the working personnel check the log data in the text form, the log data in the text form is loaded preferentially, so that the data loading and displaying speed is increased conveniently, and the working efficiency of the working personnel is improved. The staff can input the screening condition, screens the log data of text form, the convenience when further improving the staff and analyzing data.
Optionally, the initial screening condition includes that the log data with the earliest generation time is taken as a first piece of data; starting to load and display the first piece of data; loading and displaying a plurality of continuously generated log data;
the number of the loaded and displayed continuously generated log data is determined according to the accommodating amount of the display interface.
By adopting the technical scheme, on one hand, the log data is loaded and displayed from the first log data, so that the method is scientific and reasonable, and is convenient for workers to analyze the log data from the source of the log data without manual searching or adjustment by the workers; on the other hand, the number of the log data in the form of the initial loading and displaying text is determined according to the accommodating amount of the display interface, so that the speed of loading and displaying the data is increased, and the efficiency is improved.
In a second aspect, the following technical solution is adopted in the visual log analysis device provided by the present application:
a visual log analysis device, comprising:
a memory storing a visual log analysis program;
a processor, which when running the visual log analysis program performs the steps of the method of any one of claims 1 to 7.
By adopting the technical scheme, convenience in data error positioning and performance analysis in the log is facilitated to be improved.
In a third aspect, the visualized log analysis system provided by the present application adopts the following technical scheme:
the system comprises a visual log analysis device, a memory module, a transmission module, a shared memory module and a database module;
the transmission module is connected with equipment for generating log data and is used for acquiring the log data recorded in the equipment;
the transmission module is also used for transmitting the log data acquired from the equipment to the shared memory module in an online mode; in the off-line mode, the log data in the equipment is cached in the memory module, and when the preset number threshold is reached, the cached log data is written into the database module at one time;
the visual log analysis device is used for acquiring data from the shared memory module and/or the database module.
By adopting the technical scheme, in the online mode, the log data in the equipment is stored in the shared memory module without being read and written by a magnetic disk, so that the real-time performance and the integrity of the log data storage are improved conveniently, and the log data is not easy to lose in the storage process; in the off-line mode, a certain amount of log data is cached firstly and then written into the database module once, so that the read-write times of the disk are reduced, and the real-time performance and the integrity of data storage are improved conveniently.
In a fourth aspect, the visualized log analysis system provided by the present application adopts the following technical scheme:
a visual log analysis system comprises a visual log analysis device;
the intelligent terminal is used for caching the log data recorded in the equipment in a local memory, and when the preset number threshold is reached, the cached log data is written into a disk at one time;
the visual log analysis device comprises an acquisition module and a log database module, wherein the log database module is used for acquiring and storing log data acquired by the intelligent terminal from equipment;
the acquisition module is connected with the log database module and is used for acquiring log data in the log database module.
By adopting the technical scheme, the intelligent terminal is used for acquiring and storing the log data in the equipment, and storing the log data into the disk in batches when the log data are stored, so that the number of times of reading and writing the disk is reduced, on one hand, the normal operation and work of the equipment are not easily influenced, and on the other hand, the efficiency and the integrity of log data storage are improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the log data is displayed in a text form and a chart form, so that the method is more intuitive and more convenient to check, and convenience of workers in error positioning and performance analysis of the log data is improved;
2. the icons of all the collected data groups are associated with the time axis, so that when a worker checks or analyzes data, the worker can drive all the icons to move by dragging the time axis, more data can be checked, and convenience in data analysis is improved;
3. each point on the icon is associated with corresponding log data, and the corresponding log data in a text form can be displayed by triggering the point on the icon, so that a worker can analyze the log data conveniently;
4. when the log data are loaded and displayed, loading and displaying part of log data in the log data according to a preset initial screening condition, so that the data loading and displaying speed is improved conveniently;
5. when the log data is stored, the log data is stored in two modes through the difference between the online mode and the offline mode, so that the reading and writing of a magnetic disk are reduced, and the storage efficiency, the real-time performance and the integrity of the log data are improved.
Drawings
Fig. 1 is a block diagram of a visual log analysis system according to an embodiment of the present application;
FIG. 2 is a block diagram of another visual log analysis system according to an embodiment of the present application;
FIG. 3 is a flow chart of a method for visual log analysis according to an embodiment of the present application;
FIG. 4 is another flow chart of a method of visual log analysis according to an embodiment of the present application;
fig. 5 is another flowchart of a visual log analysis method according to an embodiment of the present application.
Description of reference numerals: 1. an intelligent terminal; 2. an acquisition module; 3. a collection module; 4. a classification module; 5. a processing module; 6. a log database module; 7. a transmission module; 8. a shared memory module; 9. and a database module.
Detailed Description
The present application is described in further detail below with reference to figures 1-5.
The embodiment of the application discloses a visual log analysis system.
Referring to fig. 1, the visual log analysis system includes a visual log analysis device and an intelligent terminal 1, where the intelligent terminal 1 adopts a PC terminal, and the intelligent terminal 1 is connected to a device and is configured to cache log data recorded in the device in a local memory. The device can be a camera module, a test box, a chip, a sensor and other devices capable of generating data, the log data can be data generated when the device works, for example, data generated by exposure when the camera module operates, or data generated by acquisition and conversion when the device works, for example, image data shot by the camera module, or physical value data detected by the sensor.
When the data amount in the cache of the intelligent terminal 1 reaches a preset amount threshold, the intelligent terminal 1 newly establishes a thread to write the cached log data into the disk of the intelligent terminal 1 at one time. The method and the device are convenient to reduce the read-write times of the disk, improve the real-time property of log data storage, and meanwhile, the newly-built thread is not easy to influence the normal operation of the device. For example, when image data shot by the camera module is acquired, a new thread is not easy to influence the shooting of the camera module. The number threshold is set manually, and may be specifically determined according to the size of the storage amount of the smart terminal 1, or may be determined according to the log data generation amount and the generation speed.
The visual log analysis device comprises a memory, a storage and a display, wherein a visual log analysis program is stored in the memory; and the processor executes the steps of the visual log analysis method when the visual log analysis program is run. The visualized log analysis device further comprises an acquisition module 2, which is used for acquiring log data and acquiring a preset collection mark. And the collection module 3 is used for collecting the collected information in the log data corresponding to the collection marks in the log data to form collected data. The collection flag is set artificially and is determined according to the type and content of log data. For example, in this embodiment, the device is a camera module, and the acquired log data is image data captured by the camera module. The camera module shoots images of 90 frames per second, and the image data comprises information such as generation time of log data, name of the log data, induction value of the log data and size of the log data, wherein the induction value of the log data can be the size of each image data or the time interval between the generation of adjacent image data. In order to monitor the stability of the camera module, the collection mark is set as the generation time, the name and the induction value of the data, then the generation time, the name and the induction value of each log data are collected, and the generation time, the name and the induction value of the same log data are correlated to form a complete message.
The visual log analysis device further comprises a classification module 4, which is used for classifying the collected data according to a preset classification rule to form a plurality of collected data groups. The classification rules are set manually, and aim to display different types of log data separately, so that the log data can be conveniently checked by workers. For example, in this embodiment, the log data generated by different camera modules are classified, and the classification is specifically implemented according to the name in each log data, so that the collected data group of the first camera module and the collected data group of the second camera module can be formed, and so on. The log data in different functional parts in the same camera module can also be classified, for example, the log data of the sensor and the memory in the same camera module are classified, and the classification is specifically realized according to the name of the log data, so that a collected data group of the sensor of the third camera module and a collected data group cached by the third camera module can be formed.
The processing module 5 is used for loading and displaying the acquired log data in a text form; and the data acquisition device is also used for simultaneously displaying a plurality of collected data groups in a form of graphs respectively. When the staff checks and analyzes the log data, the staff can see the log data in the text form and the log data in the chart form at the same time. The log data in the chart form is more visual, and convenience in data analysis is improved conveniently.
Referring to fig. 1, the visual log analysis device further includes a log database module 6, configured to acquire and store log data acquired by the intelligent terminal 1 from the device. The log data of the device stored in the intelligent terminal 1 may be obtained in a wireless transmission manner, or may be obtained in a wired transmission manner or a manual transmission manner. In this embodiment, the staff exports the log data stored in the disk of the intelligent terminal 1 and transmits the log data to another staff, and the other staff imports the log data into the visual log analysis device and stores the log data in the log database module 6. The acquisition module 2 is connected with the log database module 6 and is used for acquiring log data in the log database module 6. It should be noted that, in addition to storing the log data by means of a database, the log data may also be stored by means of storage means such as XML, JSON, and file. It is sufficient to be able to import the log data in the intelligent terminal 1 into the log database module 6.
The embodiment of the application also discloses a visual log analysis system. Referring to fig. 2, the visualized log analysis system includes a visualized log analysis device, and the visualized log analysis device includes an obtaining module 2, configured to obtain log data and obtain a preset collection flag; the collecting module 3 is used for collecting the collecting information in the log data corresponding to the collecting mark in the log data to form collected data; the classification module 4 is used for classifying the collected information according to a preset classification rule to form a plurality of collected data groups; the processing module 5 is used for loading and displaying the acquired log data in a text form; and simultaneously displaying a plurality of the collected data groups in a form of graphs respectively.
The visual log analysis device further comprises a memory module, a transmission module 7, a shared memory module 8 and a database module 9. The transmission module 7 is connected to a device generating log data, and is used for acquiring the log data in the device record. The transmission module 7 is connected to the shared memory module 8, and is configured to transmit log data acquired from the device to the shared memory module 8 in an online mode, so as to improve data storage efficiency. In the off-line mode, the log data in the equipment is cached in the memory module, and when the preset number threshold is reached, the cached log data is written into the database module at one time. The visual log analysis device is used for acquiring data from the shared memory module 8 and/or the database module 9. It should be noted that the online mode and the offline mode are two modes set manually, and the specific mode is determined by manual operation. If the staff selects the online mode, the data is stored in the online mode; and when the staff selects the off-line mode, the data is stored through the off-line mode. For example, in this embodiment, the worker needs to analyze the data at the device work site, and then may select the online mode, thereby improving the efficiency of data storage. For another example, if the staff needs to backup the log data in the database module 9 to facilitate later invocation or to prevent the log data from being lost, the offline mode is selected. In addition, in the online mode, besides storing the log data in the shared memory, the log data can also be stored and transmitted in a SOCKET communication mode; the offline mode can store the log data in a storage mode of caching the log data in a memory module and then writing the log data into a database module, and can also store the log data in storage modes of XML, JSON, files and the like.
The following method is performed when the program is executed, and the implementation of the visual log analysis method is described in detail below in conjunction with the system.
The embodiment of the application discloses a visual log analysis method. Referring to fig. 3, the visual log analysis method includes:
s100, acquiring log data and acquiring a preset collection mark.
When log data are acquired, whether log data are stored in a shared memory and a database is detected, and if the log data are stored in the shared memory, the log data in the shared memory are called; and if the database stores the log data, calling the log data in the database. It is understood that if the shared memory and the database both store the log data, the log data of the two positions are acquired simultaneously.
And S200, collecting the collected information in the log data corresponding to the collection mark in the log data to form collected data.
The collected information in the collected data comprises the generation time, the name and the induction value of each piece of log data.
S300, classifying the collected information according to a preset classification rule to form a plurality of collected data groups.
S400, loading and displaying the acquired log data in a text form; and simultaneously displaying a plurality of collected data groups in a form of graphs respectively.
Referring to fig. 4, the step of loading and displaying the acquired log data in text form includes:
and S410, loading and displaying part of data in the data according to preset initial screening conditions.
And S420, obtaining screening conditions.
And S430, loading and displaying the corresponding data in the log data according to the screening condition.
The initial screening condition comprises that log data with the earliest generation time is taken as first piece of data, and a plurality of pieces of continuously generated log data are loaded and displayed from the first piece of log data. The number of pieces of log data which are continuously generated are loaded and displayed is determined according to the accommodation amount of the display interface. Specifically, the accommodation amount of the display interface is determined by the height of the display interface, namely, the height of the display interface is divided by the height of the single piece of data. The screening conditions are input by the staff through the input equipment, so that the staff can conveniently check and analyze the data, and if the screening conditions do not exist, the screening is not performed.
Referring to fig. 5, before displaying several collected data sets in the form of graphs, respectively, the method includes:
s440, screening out a preset number of collected information capable of showing change trends in each collected data group according to a preset screening rule.
The step of displaying the plurality of collected data sets in a graph form respectively comprises the following steps:
and S450, taking the generation time as an abscissa and the induction value as an ordinate, and making the collected data capable of showing the change trend in the collected data group into a scatter diagram, a broken line diagram, a spline graph or a bar graph.
Wherein, the screening rule is set manually, and the quantity of the screened information is also set manually. In order to facilitate selection of collected information capable of reflecting the variation trend, in the embodiment, the screening rule is that when the induction values corresponding to a plurality of continuous points are all in a range, one point is selected from the plurality of points to be displayed; and when the difference of the induction values corresponding to two adjacent points exceeds a threshold value, displaying the two points. The number of the screened collected information is determined according to the total amount of the log data, and in this embodiment, the number of the screened information is 1000.
The visual log analysis method further comprises the following steps: forming a time axis according to the generation time; the time axis is associated with the abscissa of the graph formed by each of the collected data groups, and the abscissa of the graph formed by each of the collected data groups is changed in synchronization with the time axis when the time axis is dragged. The generation time of each log data in the log data loaded and displayed in the text form is associated with the point formed by the corresponding generation time and the induction value in the corresponding chart, and the log data in the text form associated with the point is loaded and displayed when the point in the chart is selected. When the text-form log data associated with the point is loaded and displayed, a plurality of pieces of text-form log data adjacent to the piece of text-form log data are loaded and displayed.
The implementation principle of the visual log analysis method in the embodiment of the application is as follows: and after the log data are obtained, collecting and classifying the generation time, the name and the induction value in each log data according to the collection marks. And loading and displaying part of log data in a text form according to the initial screening condition, and displaying the classified log data in a chart form. When the staff checks and analyzes the log data, the horizontal coordinates of the charts are driven to change through the time axis, and therefore the staff can conveniently analyze the log data. And when a worker clicks a certain point in the chart, the log data corresponding to the point is loaded and displayed and is displayed in a text form, and meanwhile, a plurality of pieces of data adjacent to the log data are loaded and displayed, so that the worker can conveniently analyze the log data, and the convenience of log data analysis is improved.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A visual log analysis method, comprising:
acquiring log data and acquiring a preset collection mark;
collecting the collected information in the log data corresponding to the collected mark in the log data to form collected data;
classifying the collected data according to a preset classification rule to form a plurality of collected data groups;
loading and displaying the acquired log data in a text form; and simultaneously displaying a plurality of the collected data groups in a form of graphs respectively.
2. The visual log analysis method of claim 1, wherein: the collected information comprises the generation time, the name and the induction value of each piece of log data;
before the displaying of the collected data sets in a form of a graph respectively, the method comprises the following steps:
screening out a preset number of collected data capable of reflecting the change trend in each collected data group according to a preset screening rule;
the step of displaying the plurality of collected data sets in a graph form respectively comprises:
and taking the generation time as an abscissa and the induction value as an ordinate, and making the collected data capable of showing the change trend in the collected data group into a scatter diagram, a broken line diagram, a spline graph or a bar graph.
3. The visual log analysis method of claim 2, wherein: the method further comprises the following steps:
forming a time axis according to the generation time;
the time axis is associated with the abscissa of the graph formed by each collected data group, and the abscissa of the graph formed by each collected data group is changed synchronously with the time axis when the time axis is dragged.
4. A visual log analysis method according to claim 3, characterized in that: the generation time of each log data in the log data loaded and displayed in the text form is associated with a point formed by the corresponding generation time and the induction value in the corresponding chart, and the log data in the text form associated with the point is loaded and displayed when the point in the chart is selected.
5. The visual log analysis method of claim 4, wherein: and when the log data in the text form associated with the point is loaded and displayed, loading and displaying a plurality of pieces of log data in the text form adjacent to the generation time of the piece of log data in the text form.
6. The visual log analysis method of claim 2, wherein: the step of loading and displaying the acquired log data in text form comprises:
loading and displaying part of data in the log data according to a preset initial screening condition;
obtaining screening conditions;
and loading and displaying corresponding data in the log data according to the screening conditions.
7. The visual log analysis method of claim 6, wherein: the initial screening condition comprises that the log data with the earliest generation time is taken as a first piece of data; starting to load and display the first piece of data; loading and displaying a plurality of continuously generated log data;
the number of the loaded and displayed continuously generated log data is determined according to the accommodating amount of the display interface.
8. A visual log analysis device, characterized by: the method comprises the following steps:
a memory storing a visual log analysis program;
a processor, which when running the visual log analysis program performs the steps of the method of any one of claims 1 to 7.
9. A visual log analysis system, characterized by: the visual log analysis device according to claim 8, further comprising a memory module, a transmission module (7), a shared memory module (8) and a database module (9);
the transmission module (7) is connected with equipment for generating log data and is used for acquiring the log data recorded in the equipment;
the transmission module (7) is further configured to transmit log data acquired from the device to the shared memory module (8) in an online mode; in the off-line mode, the log data in the equipment is cached in the memory module, and when the preset number threshold is reached, the cached log data is written into the database module at one time;
the visual log analysis device is used for acquiring data from the shared memory module (8) and/or the database module (9).
10. A visual log analysis system, characterized by: comprising the visual log analysis device of claim 8;
the intelligent terminal (1) is used for caching the log data recorded in the equipment in a local memory, and when the preset number threshold is reached, the cached log data is written into a magnetic disk at one time;
the visual log analysis device comprises an acquisition module (2) and a log database module (6), wherein the log database module (6) is used for acquiring and storing log data acquired by the intelligent terminal (1) from equipment;
the acquisition module (2) is connected with the log database module (6) and is used for acquiring log data in the log database module (6).
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996225A (en) * | 2022-07-18 | 2022-09-02 | 成都中科合迅科技有限公司 | Development method for user-defined visual combined instrument control |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016199411A1 (en) * | 2015-06-11 | 2016-12-15 | 日本電気株式会社 | Log display device, log display method and log display program |
| CN109885537A (en) * | 2019-02-22 | 2019-06-14 | 成都信息工程大学 | A kind of journal displaying method, system and computer readable storage medium |
| CN110209518A (en) * | 2019-04-26 | 2019-09-06 | 福州慧校通教育信息技术有限公司 | A kind of multi-data source daily record data, which is concentrated, collects storage method and device |
| US10853380B1 (en) * | 2016-07-31 | 2020-12-01 | Splunk Inc. | Framework for displaying interactive visualizations of event data |
| CN112069425A (en) * | 2020-08-05 | 2020-12-11 | 北京北信源软件股份有限公司 | Log management method and device, electronic equipment and readable storage medium |
| CN112380181A (en) * | 2020-11-10 | 2021-02-19 | 北京小米移动软件有限公司 | Terminal drop detection method, device and system, electronic terminal and storage medium |
-
2021
- 2021-04-30 CN CN202110484957.8A patent/CN113138971A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016199411A1 (en) * | 2015-06-11 | 2016-12-15 | 日本電気株式会社 | Log display device, log display method and log display program |
| US10853380B1 (en) * | 2016-07-31 | 2020-12-01 | Splunk Inc. | Framework for displaying interactive visualizations of event data |
| CN109885537A (en) * | 2019-02-22 | 2019-06-14 | 成都信息工程大学 | A kind of journal displaying method, system and computer readable storage medium |
| CN110209518A (en) * | 2019-04-26 | 2019-09-06 | 福州慧校通教育信息技术有限公司 | A kind of multi-data source daily record data, which is concentrated, collects storage method and device |
| CN112069425A (en) * | 2020-08-05 | 2020-12-11 | 北京北信源软件股份有限公司 | Log management method and device, electronic equipment and readable storage medium |
| CN112380181A (en) * | 2020-11-10 | 2021-02-19 | 北京小米移动软件有限公司 | Terminal drop detection method, device and system, electronic terminal and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996225A (en) * | 2022-07-18 | 2022-09-02 | 成都中科合迅科技有限公司 | Development method for user-defined visual combined instrument control |
| CN114996225B (en) * | 2022-07-18 | 2022-11-01 | 成都中科合迅科技有限公司 | Development method for custom visual instrument control of combined instrument |
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