CN107122359B - Data real-time tracking visualization processing method and device - Google Patents
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Abstract
The embodiment of the invention discloses a real-time tracking visualization processing method of data, which comprises the following steps: converting the first data into second data; extracting data information of each data processing node in the second data according to a time sequence; establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data; constructing a message body according to the tree structure; and presenting the path of the data information in real time according to the message body. The embodiment of the invention also discloses a real-time tracking and visualization processing device for the data.
Description
Technical Field
The invention relates to the field of data tracking processing, in particular to a real-time tracking visualization processing method and device for data.
Background
With the rise of technologies such as cloud computing, internet of things and the like, data is continuously growing and accumulating at an unprecedented speed, and is increasingly present in application programs in a large-scale and continuous stream form; at present, data tracking and analysis for the internet of things mainly determine input data to be submitted through operations such as mouse click of a control panel, the input data are displayed according to the characteristics of analysis result data after the data are processed by a system, a real-time visualization function for data processing node paths and processing node results is lacked, due to the lack of data tracing and visualization of intermediate processing node results, technicians cannot track, control and analyze application programs and data in place, and the working efficiency is reduced.
Disclosure of Invention
In view of this, embodiments of the present invention are expected to provide a method and an apparatus for real-time tracking and visualization processing of data, so as to implement visualization of a path and a data source of a data processing node and a result of an intermediate processing node, so that technicians can track, manage and analyze data in real time, and improve work efficiency.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the invention provides a real-time tracking visualization processing method of data, which comprises the following steps:
converting the first data into second data;
extracting data information of each data processing node in the second data according to a time sequence;
establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data;
constructing a message body according to the tree structure;
and presenting the path of the data information in real time according to the message body.
In the above scheme, before the converting the first data into the second data, the method further includes:
receiving the first data;
judging whether the data characteristics of the first data meet preset conditions or not; wherein the preset conditions include: presetting a protocol rule and a white list rule;
the converting the first data into the second data includes:
when the data characteristics of the first data meet preset conditions, converting the first data into second data; the second data is first data with a preset format, and the preset format is set by service logic.
In the foregoing solution, the extracting data information of each data processing node in the second data according to the time sequence includes:
when the data characteristics of the second data accord with the preset protocol rule, extracting first data information of each data processing node in the second data according to a time sequence;
wherein the preset protocol rule comprises: data characteristics of a Restful Application Programming Interface (API) protocol, an EDP (enhanced data protocol) protocol for lightweight inter-device communication, an MQTT (message queue telemetry transport) protocol, a Modbus communication protocol, a JT/T808-2011 communication protocol for a road transport satellite positioning system terminal and an JTEXT protocol for communication extension of the road transport satellite positioning system terminal;
the first data information includes: protocol type information of the first data, time information of the first data, service identification information of the first data, processing node information of the first data, and output information of the first data;
when the data characteristics of the second data accord with the preset white list rule, extracting second data information of each data processing node in the second data according to a time sequence;
wherein the preset white list rule comprises: data characteristics that can be identified and do not comply with preset protocol rules;
the second data information includes: time information of the second data, service identification information of the second data, and processing node information of the second data.
In the above scheme, the constructing a message body according to the tree structure includes:
traversing the tree structure to obtain data information of each data processing node;
and performing secondary packaging on the data information of each data processing node to construct a message body.
In the foregoing solution, the presenting the path of the data information in real time according to the message body includes:
and reading the message body in an asynchronous mode, and displaying the data information in real time in a tree structure on the path of each data processing node.
The invention also provides a data real-time tracking visualization processing device, which comprises:
the conversion module is used for converting the first data into second data;
the extraction module is used for extracting the data information of each data processing node in the second data according to a time sequence;
the processing module is used for establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data; constructing a message body according to the tree structure;
and the presentation module is used for presenting the path of the data information in real time according to the message body.
In the above scheme, the apparatus further comprises:
a receiving module, configured to receive the first data;
the judging module is used for judging whether the data characteristics of the first data meet preset conditions or not; wherein the preset conditions include: presetting a protocol rule and a white list rule;
the conversion module is specifically used for converting the first data into second data when the data characteristics of the first data meet preset conditions; the second data is first data with a preset format, and the preset format is set by service logic.
In the foregoing scheme, the extracting module is specifically configured to extract, when the data features of the second data conform to the preset protocol rule, first data information of each data processing node in the second data according to a time sequence;
wherein the preset protocol rule comprises: data characteristics of a Restful Application Programming Interface (API) protocol, an EDP (enhanced data protocol) protocol for lightweight inter-device communication, an MQTT (message queue telemetry transport) protocol, a Modbus communication protocol, a JT/T808-2011 communication protocol for a road transport satellite positioning system terminal and an JTEXT protocol for communication extension of the road transport satellite positioning system terminal;
the first data information includes: protocol type information of the first data, time information of the first data, service identification information of the first data, processing node information of the first data, and output information of the first data;
the extracting module is further specifically configured to extract second data information of each data processing node in the second data according to a time sequence when the data feature of the second data conforms to the preset white list rule;
wherein the preset white list rule comprises: data characteristics that can be identified and do not comply with preset protocol rules;
the second data information includes: time information of the second data, service identification information of the second data, and processing node information of the second data.
In the above scheme, the processing module is specifically configured to traverse the tree structure to obtain data information of each data processing node; and performing secondary packaging on the data information of each data processing node to construct a message body.
In the foregoing solution, the presentation module is specifically configured to read the message body in an asynchronous manner, and present the path of the data information at each data processing node in a tree structure in real time.
According to the data real-time tracking visualization processing method and device provided by the embodiment of the invention, whether the data characteristics of the first data meet the preset conditions or not is judged through the data real-time tracking visualization processing device; when the data characteristics of the first data meet preset conditions, converting the first data into second data; extracting data information of each data processing node in the second data according to a time sequence; establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data; constructing a message body according to the tree structure; presenting the path of the data information in real time according to the message body; the paths and the data information of the data processing nodes are displayed in a tree structure, so that the visualization of the paths and the data tracing of the data processing nodes and the visualization of the results of the intermediate processing nodes can be realized, technicians can track, manage and control and analyze the data in real time, and the working efficiency is improved.
Drawings
FIG. 1 is a flow chart of an embodiment of a data real-time tracking visualization processing method according to the present invention;
fig. 2 is a flowchart of an embodiment of a data real-time tracking visualization processing apparatus according to the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Fig. 1 is a flowchart of an embodiment of a data real-time tracking visualization processing method according to the present invention, as shown in fig. 1, the method may include the following steps:
The data real-time tracking visualization processing Device (hereinafter referred to as a processing Device) receives first data, where the first data may be analog data from a debugging tool and/or data conforming to a Restful Application Programming Interface (API) Protocol, a lightweight Device Protocol (EDP) Protocol, a Message Queue Telemetry Transport (MQTT) Protocol, a Modbus communication Protocol, a road Transport satellite positioning system terminal (JT/T808-2011) communication Protocol, a road Transport satellite positioning system terminal communication extension (JTEXT) Protocol, or other data set according to an actual situation.
And 102, judging whether the data characteristics of the first data meet preset conditions or not.
After receiving the first data, the processing device determines whether the data characteristics of the first data meet a preset condition, and if not, executes step 103; if the predetermined condition is satisfied, go to step 104.
Specifically, the preset condition includes a preset protocol rule and a preset white list rule; the preset protocol rules comprise data characteristics of a Restful API protocol, an EDP protocol, an MQTT protocol, a Modbus communication protocol, a JT/T808-2011 communication protocol and a JTEXT protocol; the preset white list rule comprises data characteristics which can be recognized by the processing device and do not conform to the preset protocol rule.
The processing device judges first data according to a preset protocol rule and a preset white list rule after receiving the first data input by the terminal equipment, and if the data characteristics of the first data accord with the data characteristics of a protocol existing in the preset protocol rule, the first data are sent to the subsequent steps for processing; if the data characteristics of the first data accord with the data characteristics existing in the preset white list rule, directly transmitting the first data to the subsequent steps for processing; if the data characteristics of the first data do not accord with the preset protocol rule and the preset white list rule, the first data are not processed, and the process is ended.
Here, the processing device performs an audit on data of Restful API protocol, EDP protocol, MQTT protocol, Modbus communication protocol, JT/T808-2011 communication protocol, and JTEXT protocol before receiving the data, and the audit method is as follows: the terminal device reports binary data and character string data in a non-lightweight class data exchange (JSON) format to the processing device through any interface, the processing device triggers the uploading condition to be audited after receiving the data, the auditing mode is key authentication, and the terminal device can report the data of the type after passing the key authentication.
Specifically, in a hypertext Transfer Protocol (HTTP) mode, key information is added to an HTTP header, and binary content or common string information to be reported is written in POST request content of the HTTP; in the EDP mode, the verification mode is logging authentication of the EDP, the EDP equipment sends a connection request message of an activation mark position 1 to the processing device, and the processing device returns an authorization code as a persistent record authorization code of the EDP equipment; the verification modes of the MQTT protocol, the Modbus communication protocol and the JT/T808-2011 communication protocol are similar, the authentication mode is performed in a preset mode, equipment authentication information such as a unique identification code of a vehicle-mounted terminal in the JT/T808-2011 communication protocol is added into a processing device, when the equipment sends a message to the processing device, whether the equipment exists is checked, and if the equipment exists, the verification is passed.
The step can support data of various protocol types and data transparent transmission, and is beneficial to later-stage expansion of diversified display of paths and information of the data processing nodes.
And step 103, ending the processing.
The processing means ends the processing.
And 104, converting the first data into second data.
The processing device converts the first data into second data, where the second data is the first data with a preset format, and the preset format is set by a service logic of the processing device and can be set according to an actual requirement, which is not limited herein.
Specifically, the processing device converts the data meeting the preset protocol rule and/or the data meeting the preset white list rule into the data meeting the preset protocol rule and/or the data meeting the preset white list rule in the preset format.
And 105, extracting data information of each data processing node in the second data in time sequence.
The processing device extracts data information of each data processing node in the second data according to a time sequence; specifically, when the data characteristics of the second data meet the preset protocol rule, the processing device extracts first data information of each data processing node in the second data according to a time sequence, where the first data information includes: protocol type information of the first data, time information of the first data, service identification information of the first data, processing node information of the first data, output information of the first data and the like; when the data characteristics of the second data meet the preset white list rule, a processing device extracts second data information of each data processing node in the second data according to a time sequence, wherein the second data information comprises: time information of the second data, service identification information of the second data, processing node information of the second data, and the like.
And 106, establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data.
The processing device establishes a tree structure according to the flow direction and the flow direction hierarchical relation of the second data to store the data information of each data processing node, and simultaneously allocates a unique identification code for the data information of each data processing node of each flow direction hierarchy; the method supports the display of the paths and the data information of the data processing nodes in a tree structure, and enables the flow direction and the hierarchical relationship of the paths of the service processing nodes to be more visual.
And step 107, constructing a message body according to the tree structure.
The processing device firstly traverses the tree structure to obtain the data information of each data processing node, and then carries out secondary packaging on the data information of each data processing node to construct a message body.
And step 108, presenting the path of the data information in real time according to the message body.
The processing device reads the message body in an asynchronous mode and displays the path of the data information at each data processing node in a tree structure in real time; the message body is requested to be read in an asynchronous mode, so that data processing and data requesting do not conflict, and timeliness of data interaction can be improved.
For example, the paths of the data at the service processing nodes are displayed in a tree structure, and technicians can check the detailed states of the data information at each data processing node through mouse clicking operation, so that the paths of the data processing nodes, the data source tracing and the visualization of the results of the intermediate processing nodes can be realized, the technicians can track, control and analyze the data in real time, and the working efficiency is improved.
According to the data real-time tracking visualization processing method provided by the embodiment of the invention, first data are received through the data real-time tracking visualization processing device; judging whether the data characteristics of the first data meet preset conditions or not; when the data characteristics of the first data meet preset conditions, converting the first data into second data; extracting data information of each data processing node in the second data according to a time sequence; establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data; constructing a message body according to the tree structure; presenting the path of the data information in real time according to the message body; the paths and data information of the data processing nodes are displayed in a tree structure, so that the visualization of the paths and data source tracing of the data processing nodes and the visualization of the results of the intermediate processing nodes can be realized, technicians can track, control and analyze the data in real time, and the working efficiency is improved; in addition, the data of various protocol types and the data transparent transmission are supported, so that the later-stage expansion of diversified display of the path and the data information of the data processing node is facilitated.
Fig. 2 is a schematic structural diagram of an embodiment of the data real-time tracking visualization processing apparatus according to the present invention, and as shown in fig. 2, the data real-time tracking visualization processing apparatus 02 includes: a conversion module 21, an extraction module 22, a processing module 23 and a presentation module 24; wherein,
the conversion module 21 is configured to convert the first data into second data;
the extracting module 22 is configured to extract data information of each data processing node in the second data according to a time sequence;
the processing module 23 is configured to establish a tree structure storing the data information according to the flow direction and the flow direction hierarchical relationship of the second data; constructing a message body according to the tree structure;
and the presenting module 24 is configured to present the path of the data information in real time according to the message body.
Further, the apparatus further comprises: a receiving module 25 and a judging module 26; wherein,
the receiving module 25 is configured to receive the first data;
the judging module 26 is configured to judge whether the data characteristics of the first data meet a preset condition; wherein the preset conditions include: presetting a protocol rule and a white list rule;
further, the conversion module 21 is specifically configured to convert the first data into second data when the data characteristics of the first data meet a preset condition; the second data is first data with a preset format, and the preset format is set by service logic.
Further, the extracting module 22 is specifically configured to extract, when the data features of the second data conform to the preset protocol rule, first data information of each data processing node in the second data according to a time sequence;
wherein the preset protocol rule comprises: data characteristics of a Restful Application Programming Interface (API) protocol, an EDP (enhanced data protocol) protocol for lightweight inter-device communication, an MQTT (message queue telemetry transport) protocol, a Modbus communication protocol, a JT/T808-2011 communication protocol for a road transport satellite positioning system terminal and an JTEXT protocol for communication extension of the road transport satellite positioning system terminal;
the first data information includes: protocol type information of the first data, time information of the first data, service identification information of the first data, processing node information of the first data, and output information of the first data;
the extracting module 22 is further specifically configured to extract second data information of each data processing node in the second data according to a time sequence when the data feature of the second data meets the preset white list rule;
wherein the preset white list rule comprises: data characteristics that can be identified and do not comply with preset protocol rules;
the second data information includes: time information of the second data, service identification information of the second data, and processing node information of the second data.
Further, the processing module 23 is specifically configured to traverse the tree structure to obtain data information of each data processing node; and performing secondary packaging on the data information of each data processing node to construct a message body.
Further, the presentation module 24 is specifically configured to read the message body in an asynchronous manner, and present the data information in a tree structure on the path of each data processing node in real time.
The apparatus of this embodiment may be configured to implement the technical solutions of the above-described method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
In practical applications, the conversion module 21, the extraction module 22, the processing module 23, the presentation module 24, the receiving module 25, and the determination module 26 may be implemented by a Central Processing Unit (CPU), a microprocessor unit (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like on the device.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. A real-time tracking visualization processing method for data is characterized by comprising the following steps:
converting the first data into second data;
extracting data information of each data processing node in the second data according to a time sequence;
establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data;
constructing a message body according to the tree structure;
presenting the path of the data information in real time according to the message body;
the extracting data information of each data processing node in the second data according to the time sequence includes:
when the data characteristics of the second data accord with a preset white list rule, extracting second data information of each data processing node in the second data according to a time sequence;
wherein the preset white list rule comprises: data characteristics that can be identified and do not comply with preset protocol rules;
the second data information includes: time information of the second data, service identification information of the second data, and processing node information of the second data.
2. The method of claim 1, wherein prior to said converting the first data into the second data, the method further comprises:
receiving the first data;
judging whether the data characteristics of the first data meet preset conditions or not; wherein the preset conditions include: presetting a protocol rule and the preset white list rule;
the converting the first data into the second data includes:
when the data characteristics of the first data meet the preset conditions, converting the first data into second data; the second data is first data with a preset format, and the preset format is set by service logic.
3. The method according to claim 2, wherein the extracting data information of each data processing node in the second data in time sequence further comprises:
when the data characteristics of the second data accord with the preset protocol rule, extracting first data information of each data processing node in the second data according to a time sequence;
wherein the preset protocol rule comprises: data characteristics of a Restful Application Programming Interface (API) protocol, an EDP (enhanced data protocol) protocol for lightweight inter-device communication, an MQTT (message queue telemetry transport) protocol, a Modbus communication protocol, a JT/T808-2011 communication protocol for a road transport satellite positioning system terminal and an JTEXT protocol for communication extension of the road transport satellite positioning system terminal;
the first data information includes: the method comprises the steps of protocol type information of first data, time information of the first data, service identification information of the first data, processing node information of the first data and output information of the first data.
4. The method according to claim 1, wherein said constructing a message body according to said tree structure comprises:
traversing the tree structure to obtain data information of each data processing node;
and performing secondary packaging on the data information of each data processing node to construct a message body.
5. The method of claim 1, wherein presenting the path of the data information in real time according to the message body comprises:
and reading the message body in an asynchronous mode, and displaying the data information in real time in a tree structure on the path of each data processing node.
6. A device for real-time tracking and visualization of data, said device comprising:
the conversion module is used for converting the first data into second data;
the extraction module is used for extracting the data information of each data processing node in the second data according to a time sequence;
the processing module is used for establishing a tree structure storing the data information according to the flow direction and the flow direction hierarchical relation of the second data; constructing a message body according to the tree structure;
the presentation module is used for presenting the path of the data information in real time according to the message body;
the extraction module is specifically configured to extract second data information of each data processing node in the second data according to a time sequence when the data features of the second data conform to a preset white list rule;
wherein the preset white list rule comprises: data characteristics that can be identified and do not comply with preset protocol rules;
the second data information includes: time information of the second data, service identification information of the second data, and processing node information of the second data.
7. The apparatus of claim 6, further comprising:
a receiving module, configured to receive the first data;
the judging module is used for judging whether the data characteristics of the first data meet preset conditions or not; wherein the preset conditions include: presetting a protocol rule and the preset white list rule;
the conversion module is specifically configured to convert the first data into second data when the data characteristics of the first data meet the preset condition; the second data is first data with a preset format, and the preset format is set by service logic.
8. The apparatus according to claim 7, wherein the extracting module is further specifically configured to extract, when the data feature of the second data conforms to the preset protocol rule, the first data information of each data processing node in the second data in a chronological order;
wherein the preset protocol rule comprises: data characteristics of a Restful Application Programming Interface (API) protocol, an EDP (enhanced data protocol) protocol for lightweight inter-device communication, an MQTT (message queue telemetry transport) protocol, a Modbus communication protocol, a JT/T808-2011 communication protocol for a road transport satellite positioning system terminal and an JTEXT protocol for communication extension of the road transport satellite positioning system terminal;
the first data information includes: the method comprises the steps of protocol type information of first data, time information of the first data, service identification information of the first data, processing node information of the first data and output information of the first data.
9. The apparatus according to claim 6, wherein the processing module is specifically configured to traverse the tree structure to obtain the data information of each data processing node; and performing secondary packaging on the data information of each data processing node to construct a message body.
10. The apparatus according to claim 6, wherein the presentation module is configured to present the data information in real time in a tree structure on a path of each data processing node by reading the message body asynchronously.
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| CN108491440B (en) * | 2018-02-12 | 2020-07-17 | 中国科学院光电研究院 | GNSS non-real-time data tracing visualization method and system |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1783075A (en) * | 2004-09-21 | 2006-06-07 | 惠普开发有限公司 | Method, apparatus, processor arrangement for displaying network data |
| CN101231631A (en) * | 2008-01-18 | 2008-07-30 | 清华大学 | Three-dimensional visualization method for power system real time node data base on rapid space interpolation |
| CN101650651A (en) * | 2009-09-17 | 2010-02-17 | 浙江大学 | Visualizing method of source code level program structure |
| CN102033748A (en) * | 2010-12-03 | 2011-04-27 | 中国科学院软件研究所 | Method for generating data processing flow codes |
| CN102629271A (en) * | 2012-03-13 | 2012-08-08 | 北京工商大学 | Complex data visualization method and equipment based on stacked tree graph |
| CN102819533A (en) * | 2011-09-20 | 2012-12-12 | 金蝶软件（中国）有限公司 | Method and device for processing location information of visualized warehouse |
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1783075A (en) * | 2004-09-21 | 2006-06-07 | 惠普开发有限公司 | Method, apparatus, processor arrangement for displaying network data |
| CN101231631A (en) * | 2008-01-18 | 2008-07-30 | 清华大学 | Three-dimensional visualization method for power system real time node data base on rapid space interpolation |
| CN101650651A (en) * | 2009-09-17 | 2010-02-17 | 浙江大学 | Visualizing method of source code level program structure |
| CN102033748A (en) * | 2010-12-03 | 2011-04-27 | 中国科学院软件研究所 | Method for generating data processing flow codes |
| CN102819533A (en) * | 2011-09-20 | 2012-12-12 | 金蝶软件（中国）有限公司 | Method and device for processing location information of visualized warehouse |
| CN102629271A (en) * | 2012-03-13 | 2012-08-08 | 北京工商大学 | Complex data visualization method and equipment based on stacked tree graph |
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