CN113905009A - Message tracking method and system based on big data and big data management platform - Google Patents
Message tracking method and system based on big data and big data management platform Download PDFInfo
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- CN113905009A CN113905009A CN202010872525.XA CN202010872525A CN113905009A CN 113905009 A CN113905009 A CN 113905009A CN 202010872525 A CN202010872525 A CN 202010872525A CN 113905009 A CN113905009 A CN 113905009A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
- H04L51/18—Commands or executable codes
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Abstract
The embodiment of the disclosure provides a message tracking method and system based on big data and a big data management platform. Wherein the method comprises: the method comprises the steps of obtaining interactive data content of each user transfer device in a plurality of user transfer devices, wherein the interactive data content comprises the number of the running user transfer devices and the context information of each user transfer device, then determining the state indicating information of each user transfer device according to the number of the user transfer devices and the context information of each user transfer device, wherein the state indicating information is used for indicating whether the user transfer device is available or not, and sending the state indicating information of each user transfer device to a terminal device. The big data management platform judges the state of the user transfer equipment according to the number of the running user transfer equipment and the context information of each user transfer equipment, so that the message tracking of the user transfer equipment is flexibly and dynamically changed.
Description
Technical Field
The present disclosure relates to the field of message tracking technologies, and in particular, to a message tracking method and system based on big data, and a big data management platform.
Background
At present, with the development of big data technology, a big data management platform constructed by big data and a cloud platform becomes a choice of more enterprises. The big data management platform needs to help enterprises to realize automatic configuration, deploy big data application and provide big data management, and user transfer equipment of the big data management platform is in different setting states and has different important functions respectively, and message tracking generally needs user predefined tracking configuration, so that a tracking strategy cannot be flexibly adjusted according to actual conditions, and normalized message tracking is carried out only according to a big data mining result, so that the problems of poor tracking effect, poor user experience and the like are caused.
Disclosure of Invention
In order to overcome at least the above disadvantages in the prior art, an object of the present disclosure is to provide a big data based message tracking method, system and big data management platform.
In a first aspect, the present disclosure provides a big data based message tracking method, applied to a big data management platform, where the big data management platform is configured to perform message tracking on multiple user transit devices included in a network, and the method includes:
acquiring interactive data content of each user transfer device in the plurality of user transfer devices, wherein the interactive data content comprises the number of the running user transfer devices and the context information of each user transfer device;
determining state indicating information of each user transfer device according to the number of the user transfer devices and the context information of each user transfer device, wherein the state indicating information is used for indicating whether the user transfer devices need to track messages or not;
and sending the status indication information of each user transfer device to a terminal device, so that the terminal device displays the status indication information of each user transfer device to a user.
In a possible embodiment, before the obtaining the interactive data content of each of the plurality of user transfer devices, the method further includes:
generating tracking parameters of the user transfer equipment of each user transfer equipment, wherein the tracking parameters of the user transfer equipment comprise the number of the user transfer equipment and the context information of each user transfer equipment;
and sending the corresponding user transfer equipment tracking parameters to each user transfer equipment, so that each user transfer equipment starts a corresponding number of user transfer equipment according to the user transfer equipment tracking parameters.
In a possible embodiment, the determining the status indication information of each user transit device according to the number of the user transit devices and the context information of each user transit device includes:
when detecting that a first user transfer device of the plurality of user transfer devices writes data into other user transfer devices, judging whether context information in the data written into the other user transfer devices exceeds a message tracking threshold of the first user transfer device;
and if so, determining that the state indication information of the first user transfer equipment is the information tracing needing to be started.
In a possible embodiment, after determining the status indication information of each user transit device according to the number of the user transit devices and the context information of each user transit device, the method further includes:
if the status indication information of the second user transfer device in the plurality of user transfer devices is that message tracking needs to be started, adjusting the number of the user transfer devices in the user transfer device tracking parameters of the second user transfer device and/or context information of each user transfer device;
and sending the adjusted tracking parameter of the user transfer device to the second user transfer device, so that the second user transfer device adjusts the number of the running user transfer devices and/or the context information of each user transfer device according to the adjusted tracking parameter of the user transfer device.
In a second aspect, the present disclosure further provides a big data based message tracking system, where the big data based message tracking system includes a big data based message tracking apparatus, the system is applied to a big data management platform, the big data management platform is used to perform message tracking on a plurality of user transit devices included in a network, and the apparatus includes:
an obtaining module, configured to obtain an interactive data content of each of the plurality of user transfer devices, where the interactive data content includes the number of running user transfer devices and context information of each user transfer device;
a determining module, configured to determine, according to the number of the user transit devices and the context information of each user transit device, status indication information of each user transit device, where the status indication information is used to indicate whether the user transit device needs to track a message;
a sending module, configured to send the status indication information of each user transfer device to a terminal device, so that the terminal device displays the status indication information of each user transfer device to a user.
In a third aspect, the present disclosure further provides a big data management platform, where the big data management platform includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to at least one user transfer device, the machine-readable storage medium is configured to store a program, an instruction, or a code, and the processor is configured to execute the program, the instruction, or the code in the machine-readable storage medium to perform the big data based message tracking method in the first aspect or any possible design of the first aspect.
In a fourth aspect, the present disclosure provides a computer-readable storage medium having stored therein instructions that, when executed, cause a computer to perform the big data based message tracing method of the first aspect or any one of the possible designs of the first aspect.
Based on any one of the above aspects, in the embodiment of the present invention, the big data management platform obtains interactive data contents, such as the number of the operated user relay devices of each of the multiple user relay devices, and the context information of each user relay device, determines the status indication information of each user relay device according to the number of the user relay devices and the context information of each user relay device, where the status indication information indicates whether the user relay device needs to start message tracing, and then sends the status indication information of each user relay device to the terminal device, so that the terminal device displays the status indication information of each user relay device to a user. The big data management platform judges the state of the user transfer equipment according to the number of the running user transfer equipment and the context information of each user transfer equipment, so that the message tracking of the user transfer equipment is flexibly and dynamically changed.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present disclosure and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings may be obtained from the drawings without inventive effort.
Fig. 1 is a schematic view of an application scenario of a big data based message tracking system according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart diagram of a big data based message tracking method according to an embodiment of the present disclosure;
FIG. 3 is a functional block diagram of a big data based message tracking apparatus provided by an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a hardware structure of a big data management platform for implementing the big data-based message tracking method according to the embodiment of the present disclosure.
Detailed Description
The present disclosure is described in detail below with reference to the drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or the system embodiments.
Fig. 1 is a schematic diagram of an application scenario of a big data based message tracking system 10 according to an embodiment of the present disclosure. The big data based message tracking system 10 may include a big data management platform 100 and a user relay device 200 communicatively coupled to the big data management platform 100. The big data based message tracking system 10 shown in FIG. 1 is but one possible example, and in other possible embodiments, the big data based message tracking system 10 may also include only some of the components shown in FIG. 1 or may also include other components.
In this embodiment, the user transfer device 200 may include a mobile device, a tablet computer, a laptop computer, or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like.
In this embodiment, the big data management platform 100 and the user transfer device 200 in the big data based message tracking system 10 may cooperatively perform the big data based message tracking method described in the following method embodiment, and for the specific steps of the big data management platform 100 and the user transfer device 200, reference may be made to the detailed description of the following method embodiment.
In order to solve the technical problem in the foregoing background art, fig. 2 is a schematic flowchart of a big data based message tracking method provided in an embodiment of the present disclosure, and the big data based message tracking method provided in this embodiment may be executed by the big data management platform 100 shown in fig. 1, and the details of the big data based message tracking method are described below.
Step S110 is to acquire an interactive data content of each of the plurality of user transfer devices, where the interactive data content includes the number of the operating user transfer devices and context information of each of the user transfer devices.
Step S120, determining status indication information of each user transit device according to the number of the user transit devices and the context information of each user transit device, where the status indication information is used to indicate whether the user transit device needs to track a message.
Step S130, sending the status indication information of each user transfer device to a terminal device, so that the terminal device displays the status indication information of each user transfer device to a user.
In a possible embodiment, before step S110, the method further includes:
step S010: generating tracking parameters of the user transfer equipment of each user transfer equipment, wherein the tracking parameters of the user transfer equipment comprise the number of the user transfer equipment and the context information of each user transfer equipment;
step S020: and sending the corresponding user transfer equipment tracking parameters to each user transfer equipment, so that each user transfer equipment starts a corresponding number of user transfer equipment according to the user transfer equipment tracking parameters.
In a possible embodiment, step S120 specifically includes:
step S1201: when detecting that a first user transfer device of the plurality of user transfer devices writes data into other user transfer devices, judging whether context information in the data written into the other user transfer devices exceeds a message tracking threshold of the first user transfer device;
step S1202: and if so, determining that the state indication information of the first user transfer equipment is the information tracing needing to be started.
In a possible embodiment, after step S120, the method further includes:
step S1203: if the status indication information of the second user transfer device in the plurality of user transfer devices is that message tracking needs to be started, adjusting the number of the user transfer devices in the user transfer device tracking parameters of the second user transfer device and/or context information of each user transfer device;
step S1204: and sending the adjusted tracking parameter of the user transfer device to the second user transfer device, so that the second user transfer device adjusts the number of the running user transfer devices and/or the context information of each user transfer device according to the adjusted tracking parameter of the user transfer device.
Fig. 3 is a schematic diagram of functional modules of a big data based message tracking apparatus 300 according to an embodiment of the present disclosure, and in this embodiment, the big data based message tracking apparatus 300 may be divided into the functional modules according to the method embodiment executed by the big data management platform 100, that is, the following functional modules corresponding to the big data based message tracking apparatus 300 may be used to execute the method embodiments executed by the big data management platform 100. The big data based message tracking apparatus 300 may include an obtaining module 310, a determining module 320, and a sending module 330, and the functions of the functional modules of the big data based message tracking apparatus 300 are described in detail below.
The obtaining module 310 may be configured to execute the step S110, that is, to obtain the interactive data content of each of the plurality of user transfer devices, where the interactive data content includes the number of running user transfer devices and the context information of each user transfer device.
The determining module 320 may be configured to execute the step S120, that is, to determine status indication information of each user transit device according to the number of the user transit devices and the context information of each user transit device, where the status indication information is used to indicate whether the user transit device needs to track a message.
The sending module 330 may be configured to execute the step S130, that is, configured to send the status indication information of each user transfer device to a terminal device, so that the terminal device displays the status indication information of each user transfer device to a user.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the obtaining module 310 may be a processing element separately set up, or may be implemented by being integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the processing element of the apparatus calls and executes the functions of the obtaining module 310. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
Fig. 4 illustrates a hardware structure diagram of a big data management platform 100 for implementing the above-mentioned control device according to an embodiment of the present disclosure, and as shown in fig. 4, the big data management platform 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.
In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120 (for example, included in the big data based message tracking apparatus 300 shown in fig. 3), so that the processor 110 may execute the big data based message tracking method according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be configured to control transceiving actions of the transceiver 140, so as to transceive data with the user transit apparatus 200.
For a specific implementation process of the processor 110, reference may be made to the above-mentioned method embodiments executed by the big data management platform 100, and implementation principles and technical effects thereof are similar, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 4, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The machine-readable storage medium 120 may comprise high-speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus 130 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 130 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
In addition, the embodiment of the present disclosure also provides a readable storage medium, in which computer execution instructions are stored, and when a processor executes the computer execution instructions, the message tracking method based on big data is implemented.
The readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present disclosure, and not for limiting the same; while the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (7)
1. A big data based message tracking method is applied to a big data management platform, and the big data management platform is used for carrying out message tracking on a plurality of user transfer devices included in a network, and the method comprises the following steps:
acquiring interactive data content of each user transfer device in the plurality of user transfer devices, wherein the interactive data content comprises the number of the running user transfer devices and the context information of each user transfer device;
determining state indicating information of each user transfer device according to the number of the user transfer devices and the context information of each user transfer device, wherein the state indicating information is used for indicating whether the user transfer devices need to track messages or not;
and sending the status indication information of each user transfer device to a terminal device, so that the terminal device displays the status indication information of each user transfer device to a user.
2. The method of claim 1, wherein before the obtaining the interactive data content of each of the plurality of user relay devices, the method further comprises:
generating tracking parameters of the user transfer equipment of each user transfer equipment, wherein the tracking parameters of the user transfer equipment comprise the number of the user transfer equipment and the context information of each user transfer equipment;
and sending the corresponding user transfer equipment tracking parameters to each user transfer equipment, so that each user transfer equipment starts a corresponding number of user transfer equipment according to the user transfer equipment tracking parameters.
3. The method according to claim 1 or 2, wherein the determining the status indication information of each user transfer device according to the number of the user transfer devices and the context information of each user transfer device includes:
when detecting that a first user transfer device of the plurality of user transfer devices writes data into other user transfer devices, judging whether context information in the data written into the other user transfer devices exceeds a message tracking threshold of the first user transfer device;
and if so, determining that the state indication information of the first user transfer equipment is the information tracing needing to be started.
4. The method according to claim 1 or 2, wherein after determining the status indication information of each user transit device according to the number of the user transit devices and the context information of each user transit device, the method further comprises:
if the status indication information of the second user transfer device in the plurality of user transfer devices is that message tracking needs to be started, adjusting the number of the user transfer devices in the user transfer device tracking parameters of the second user transfer device and/or context information of each user transfer device;
and sending the adjusted tracking parameter of the user transfer device to the second user transfer device, so that the second user transfer device adjusts the number of the running user transfer devices and/or the context information of each user transfer device according to the adjusted tracking parameter of the user transfer device.
5. A big data based message tracking system, which comprises a big data based message tracking device, is applied to a big data management platform, the big data management platform is used for carrying out message tracking on a plurality of user transfer devices included in a network, and the device comprises:
an obtaining module, configured to obtain an interactive data content of each of the plurality of user transfer devices, where the interactive data content includes the number of running user transfer devices and context information of each user transfer device;
a determining module, configured to determine, according to the number of the user transit devices and the context information of each user transit device, status indication information of each user transit device, where the status indication information is used to indicate whether the user transit device needs to track a message;
a sending module, configured to send the status indication information of each user transfer device to a terminal device, so that the terminal device displays the status indication information of each user transfer device to a user.
6. A big data management platform, comprising a processor, a machine-readable storage medium, and a network interface, wherein the machine-readable storage medium, the network interface, and the processor are connected via a bus system, the network interface is configured to be communicatively connected to at least one user transfer device, the machine-readable storage medium is configured to store a program, instructions, or code, and the processor is configured to execute the program, instructions, or code in the machine-readable storage medium to perform the big data based message tracking method according to any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010872525.XA CN113905009A (en) | 2020-08-26 | 2020-08-26 | Message tracking method and system based on big data and big data management platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010872525.XA CN113905009A (en) | 2020-08-26 | 2020-08-26 | Message tracking method and system based on big data and big data management platform |
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| Publication Number | Publication Date |
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| CN113905009A true CN113905009A (en) | 2022-01-07 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010872525.XA Withdrawn CN113905009A (en) | 2020-08-26 | 2020-08-26 | Message tracking method and system based on big data and big data management platform |
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| CN (1) | CN113905009A (en) |
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2020
- 2020-08-26 CN CN202010872525.XA patent/CN113905009A/en not_active Withdrawn
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