CN115296905A - Data acquisition and analysis method and system based on mobile terminal - Google Patents
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Abstract
The invention discloses a data acquisition and analysis method and a system based on a mobile terminal, relating to the field related to mobile data acquisition, wherein the method comprises the following steps: connecting a background data management system and a mobile terminal data acquisition device to acquire an initial transmission data set and a data transmission channel; transmitting the initial transmission data set to the background data management system according to the data transmission channel; outputting a data monitoring result according to a data monitoring model embedded in the background data management system; generating the secondary data acquisition instruction and acquiring a secondary transmission data set according to the data monitoring result; and updating the initial transmission data set according to the secondary transmission data set. The technical problems of abnormal data transmission and poor integrity caused by lack of high-performance detection capability of data are solved, the data transmission quality is improved by adopting an intelligent data monitoring mode, and the technical effects of safety and reliability of data transmission are ensured.
Description
Technical Field
The invention relates to the field of mobile terminal data acquisition, in particular to a data acquisition and analysis method and system based on a mobile terminal.
Background
The data acquisition and analysis is a mode of combining software and hardware, acquiring and recording related data, and then analyzing the data to acquire various types of information. The application scenes of data acquisition and analysis are wide, different functions need to be realized in different application scenes, and with the continuous rise of network transactions, network payments and network banks, the scenes of data transmission modes are diversified, so that the data acquired by the mobile terminal is easy to tamper, and the safety and the quality of the data after data transmission are poor.
At the present stage, in the data acquisition and transmission process, data transmission is abnormal due to the lack of high-performance detection capability of the data, and the technical problem of safety consideration is lacked.
Disclosure of Invention
Aiming at the defects in the prior art, the data acquisition and analysis method and system based on the mobile terminal solve the technical problems that data transmission is abnormal and safety consideration is lacked due to the fact that data lack of high-performance detection capability in the data acquisition and transmission process, intelligent monitoring based on the mobile terminal data is adopted, data transmission quality is improved, and safety and reliability of transmitted data are guaranteed.
In a first aspect of the present invention, a data acquisition and analysis method based on a mobile terminal is provided, the method is applied to a data acquisition and analysis system of the mobile terminal, the system is in communication connection with a background data management system and a mobile terminal data acquisition device, and the method includes: acquiring an initial transmission data set according to the mobile terminal data acquisition device; connecting the background data management system and the mobile terminal data acquisition device, analyzing a channel for data transmission, and acquiring a data transmission channel; transmitting the initial transmission data set to the background data management system according to the data transmission channel, wherein a data monitoring model is embedded in the background data management system; performing multi-index monitoring on the initial transmission data set according to the data monitoring model embedded in the background data management system, and outputting a data monitoring result; judging whether a secondary data acquisition instruction is activated or not according to the data monitoring result; if the secondary data acquisition instruction is activated, sending the secondary data acquisition instruction to the mobile terminal data acquisition device to acquire a secondary transmission data set; and updating the initial transmission data set according to the secondary transmission data set.
In a second aspect of the present invention, a system of a data acquisition and analysis method based on a mobile terminal is provided, the system is in communication connection with a background data management system and a mobile terminal data acquisition device, and the system includes: the mobile terminal data acquisition module is used for acquiring an initial transmission data set according to the mobile terminal data acquisition device; the data channel analysis module is used for connecting the background data management system and the mobile terminal data acquisition device, analyzing a channel for data transmission and acquiring a data transmission channel; the data channel transmission module is used for transmitting the initial transmission data set to the background data management system according to the data transmission channel, wherein a data monitoring model is embedded in the background data management system; the data monitoring and analyzing module is used for carrying out multi-index monitoring on the initial transmission data set according to the data monitoring model embedded in the background data management system and outputting a data monitoring result; the data acquisition judging module is used for judging whether to activate a secondary data acquisition instruction according to the data monitoring result; the secondary data acquisition module is used for sending the secondary data acquisition instruction to the mobile terminal data acquisition device to acquire a secondary transmission data set if the secondary data acquisition instruction is activated; and the data updating processing module is used for updating the initial transmission data set according to the secondary transmission data set.
In a third aspect of the invention, an electronic device is provided. The electronic device at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of the first aspect of the invention.
In a fourth aspect of the invention, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of the first aspect of the invention.
The data acquisition and analysis method and system based on the mobile terminal proposed by the application have the following technical effects:
the technical effects of improving the transmission reliability and accuracy of the mobile terminal data acquisition device, improving the data transmission quality and guaranteeing the safety and reliability of transmission data are achieved by adopting a mode of connecting a background data management system with the mobile terminal data acquisition device in a communication mode, acquiring an initial transmission data set acquired by the mobile terminal data acquisition device, inputting the initial transmission data set into the background management platform according to the connection relation, carrying out multi-index monitoring on the initial transmission data set according to a data monitoring model embedded in the background management platform, outputting a data monitoring result, acquiring data which cannot pass through monitoring according to the data monitoring result, generating a secondary data acquisition command according to the data which cannot pass through monitoring, carrying out secondary data acquisition on the mobile terminal data acquisition device according to the secondary data acquisition command, acquiring a secondary transmission data set, and further updating the initial transmission data set by using the secondary transmission data set.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flowchart of a data acquisition and analysis method based on a mobile terminal according to an embodiment of the present application;
fig. 2 is a schematic flow chart of data monitoring and analysis of a data acquisition and analysis method based on a mobile terminal according to an embodiment of the present application;
fig. 3 is a schematic flow chart of secondary transmission parallel analysis of a data acquisition and analysis method based on a mobile terminal according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a system of a data acquisition and analysis method based on a mobile terminal according to an embodiment of the present application;
FIG. 5 is a block diagram of an exemplary electronic device capable of implementing embodiments of the present application;
description of reference numerals: the mobile terminal comprises a mobile terminal data acquisition module 11, a data channel analysis module 12, a data channel transmission module 13, a data monitoring analysis module 14, a data acquisition judgment module 15, a secondary data acquisition module 16, a data updating processing module 17, 500 are electronic devices, 501 is a CPU,502 is a ROM,503 is a RAM,504 is a bus, 505 is an I/O interface, 506 is an input unit, 507 is an output unit, 508 is a storage unit, and 509 is a communication unit.
Example embodiments of the present application will be described in detail later with reference to the accompanying drawings. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Detailed Description
Example one
As shown in fig. 1, an embodiment of the present application provides a data acquisition and analysis method based on a mobile terminal, where the method is applied to a data acquisition and analysis system of the mobile terminal, the system is in communication connection with a background data management system and a mobile terminal data acquisition device, and the method includes:
step S100: acquiring an initial transmission data set according to the mobile terminal data acquisition device;
the mobile terminal is a computer device used in the mobile process, and due to the problem of low network communication safety of the mobile terminal, after data transmission is easy to occur in the process of data acquisition and transmission of the mobile terminal, the data received by a receiver has a quality problem. Along with the diversification of data transmission mode scenes, data acquired by the mobile terminal is easy to tamper, and the safety and the quality of the data after data transmission are poor, so that the data acquisition and analysis method based on the mobile terminal is proposed, the data acquired by the mobile terminal can be systematically monitored and model-analyzed, and the reliability and the accuracy of the data are ensured.
The mobile terminal data acquisition device is any mobile data acquisition device, such as a mobile phone, a notebook, a tablet computer, a POS machine and even a vehicle-mounted computer. It should be understood that, based on the scenario, in detail, the mobile terminal data acquisition device is used for acquiring corresponding demand data to generate the initial transmission data set, where the initial transmission data set is a basic data set to be analyzed, thereby facilitating subsequent data analysis.
Step S200: connecting the background data management system and the mobile terminal data acquisition device, analyzing a channel for data transmission, and acquiring a data transmission channel;
step S300: transmitting the initial transmission data set to the background data management system according to the data transmission channel, wherein a data monitoring model is embedded in the background data management system;
specifically, the background data management system is a system with computing resources and management information, and is in communication connection with the mobile terminal data acquisition device, so that the initial transmission data set is transmitted to the background data management system for subsequent data monitoring and analysis, wherein a data monitoring model is embedded in the background data management system, so that comprehensive index analysis of data can be realized, and the reliability of mobile terminal data acquisition is ensured.
Further, as shown in fig. 3, the steps of the embodiment of the present application further include S800:
step S810: acquiring transmission sample data by acquiring a data transmission time sequence sample of the data transmission channel;
step S820: performing transmission delay time sequence analysis according to the transmission sample data to obtain a transmission delay index;
step S830: acquiring a data timeliness index of the data monitoring model;
step S840: and judging whether a parallel processing instruction is activated or not by comparing the transmission delay index and the data aging index, and if the parallel processing instruction is not activated, acquiring the secondary transmission data set according to the secondary data acquisition instruction.
Further, step S840 in the embodiment of the present application further includes:
step S841: if the parallel processing instruction is activated, acquiring an index difference value of the transmission delay index and the data timeliness index;
step S842: according to the index difference value, carrying out stage division on the initial transmission data set to generate a plurality of transmission stages;
step S843: and monitoring data in the multiple transmission stages to realize data parallel transmission processing.
Specifically, a transmission channel for data transmission is determined based on a network connection relationship between the background data management system and the mobile terminal data acquisition device, and channel environment analysis is performed.
Further, a data validity index output from the data monitoring result is retrieved, where the data validity index is a time validity degree of the identification data, for example, calculated by a data change frequency and data update information of a data source, and therefore, when data transmission is delayed, a time validity error may exist in the data acquired twice, which needs to be further reduced, and the process is as follows:
and recording the time sequence of data transmission of the data transmission channel, further determining the transmission time corresponding to the data capacity, and further acquiring the transmission delay index, wherein the transmission delay index is obtained by calculation according to the corresponding relation between the data capacity and the transmission time, and the inverse proportionality coefficient of the transmission delay index is used for outputting the transmission delay index. Further, the transmission delay index obtained through calculation is compared with a data aging index of the data, when the transmission delay index is smaller than the data aging index, a parallel processing instruction is not activated, when the transmission delay index is larger than or equal to the data aging index, the parallel processing instruction is activated, processing is performed according to the parallel processing instruction, namely, according to the index difference value of the transmission delay index and the data aging index, the initial data set is divided into stages, the stages are sequentially transmitted to a background data management system through a plurality of transmission stages, each stage corresponds to a data monitoring result, parallel processing of the plurality of stages corresponding to a plurality of channels is achieved, and therefore reliability and transmission efficiency of the data are improved on the basis of improving integrity of data transmission.
Step S400: performing multi-index monitoring on the initial transmission data set according to the data monitoring model embedded in the background data management system, and outputting a data monitoring result;
further, as shown in fig. 2, step S400 in the embodiment of the present application further includes:
step S410: acquiring data source information of the initial transmission data set;
step S420: acquiring a data timeliness index, a data integrity index and a data stability index according to the data source information;
step S430: performing model training by taking the data timeliness index, the data integrity index and the data stability index as three-dimensional modeling indexes to obtain the data monitoring model, and outputting a timeliness index, an integrity index and a stability index according to the data monitoring model;
step S440: and outputting the data monitoring result according to the aging index, the integrity index and the stability index.
Specifically, after the background data management system receives the initial transmission data set, it is necessary to further perform effective data monitoring on multiple indexes of the initial transmission data set, and a data monitoring process of the background data management system is mainly implemented by using the data monitoring model, where the data monitoring model is obtained through multi-index training, and in order to ensure the pertinence of the data monitoring model, it is necessary to perform corresponding adaptive index analysis according to a data source of the initial transmission data set, where the data source information is information used for identifying a data source of the initial transmission data set, such as an object of acquired data, a type of data, and a relationship of data, so as to ensure the validity and pertinence of the data monitoring model.
It should be understood that the data monitoring model is used for data monitoring, and can identify the quality level of data, so as to determine a timeliness index, a data integrity index and a data stability index respectively, wherein the data timeliness index is the validity degree of identification data in time, such as calculated through data change frequency and data update information of a data source, and the data integrity index is the validity degree of identification data in reception integrity, such as data volume calculation; the data stability index is data stability during data acquisition, and is calculated by, for example, the proportion of abnormal data in the data or the floating degree of data generation. And then establishing a three-dimensional model to generate the data monitoring model by respectively taking the timeliness index, the data integrity index and the data stability index as three-dimensional analysis indexes, specifically analyzing the real-time input data according to the data monitoring model, and outputting the corresponding timeliness index, integrity index and stability index, so that the timeliness index, the integrity index and the stability index are output as the data monitoring result, and the accuracy and the comprehensiveness of the data calculation result are ensured.
Further, step S430 in the embodiment of the present application further includes:
step S431: acquiring a data security level by analyzing the data security of the initial transmission data set;
step S432: when the data security level is greater than a preset data security level, activating the data security monitoring model, wherein data interaction is performed between the data security monitoring model and the data monitoring model;
step S433: and acquiring a transmission security index by analyzing the level of a channel encryption algorithm in the data transmission channel.
Further, step S440 in the embodiment of the present application further includes:
step S441: inputting the transmission safety index into the data monitoring model after the data safety monitoring model is activated;
step S442: standardizing the transmission safety index, the aging index, the integrity index and the stability index, building an AHP matrix according to an index set after the standardization, and outputting a configuration weight according to the AHP matrix;
step S443: and acquiring the data monitoring result according to the configuration weight.
Specifically, because the analysis of the data monitoring result is based on the realization of further analysis on the received and transmitted data, in order to reduce the error of the output result of the data monitoring model, that is, to improve the accuracy of the output result of the data monitoring model, the security of the transmission channel through which the data passes is analyzed, so as to correct the output data monitoring result.
In detail, the security of the transmission channel through which the data passes is analyzed, when the security of the data transmission channel is high, it indicates that the currently transmitted data is not easily attacked by the outside, and when the security of the data transmission channel is low, it indicates that the currently transmitted data is easily attacked, tampered, copied and the like by the outside, so that the data error of the input source in the input model is further analyzed for the data transmission channel. The level of data needing to be kept secret per se needs to be analyzed, and when the data keeping secret requirement is high, further safety monitoring of the data is met, so that the other model connected with the background management system, namely the data safety monitoring model, is activated, and the process of analyzing the data safety monitoring model mainly comprises the steps of further analyzing based on the complexity and the level of an encryption algorithm in a data transmission channel and determining the transmission safety index of the data transmission channel for transmitting the initial transmission data set.
Further, after the data security monitoring model is activated, the data security monitoring model and the data monitoring model are connected with each other, and a data interaction relationship exists, so that the transmission security index is used as an index of newly-added constraint adjustment to adjust the data monitoring result, and the adjustment process is as follows:
the data monitoring result comprises an aging index, a completeness index and a stability index, and the transmission safety index, the aging index, the completeness index and the stability index are formed after the transmission safety index is added, and the data are standardized for the purpose that the calculation data are in a unified reference standard. An Analytic Hierarchy Process (AHP) is a systematic and hierarchical analysis method combining qualitative and quantitative analysis, completes the establishment of an AHP matrix to perform hierarchical analysis and the determination of an information entropy value, finally outputs an output result passing consistency check, and the output result is a configured weight and comprises a weight a corresponding to a transmission safety index, a weight b corresponding to an aging index, a weight c corresponding to a complete index and a weight d corresponding to a stability index, performs weight calculation according to a, b, c and d and the corresponding transmission safety index, the aging index, the complete index and the stability index, and outputs a data monitoring result.
Step S500: judging whether a secondary data acquisition instruction is activated or not according to the data monitoring result;
step S600: if the secondary data acquisition instruction is activated, sending the secondary data acquisition instruction to the mobile terminal data acquisition device to acquire a secondary transmission data set;
step S700: and updating the initial transmission data set according to the secondary transmission data set.
Specifically, if the initial transmission data sets all pass the monitoring, that is, the secondary data acquisition instruction is not activated, the transmitted initial transmission data sets are classified according to the data monitoring result, the transmitted initial transmission data sets comprise the data sets which pass the monitoring and the data sets which do not pass the monitoring, that is, the secondary data acquisition instruction is activated, the indexes which need secondary acquisition are determined according to the data sets which do not pass the monitoring and are added to the corresponding instructions, the instructions are transmitted to the mobile terminal data acquisition device, and the secondary transmission data sets are acquired, wherein the secondary transmission data sets are corresponding data which are acquired based on the data which are not subjected to the monitoring, so that the initial transmission data sets are updated according to the secondary transmission data sets, and the validity and the integrity of the data acquired by the mobile terminal are ensured. The technical problems that data transmission is abnormal and safety consideration is lacked due to the fact that data lack of high-performance detection capability in the data acquisition and transmission process are solved, intelligent monitoring based on mobile terminal data is adopted, data transmission quality is improved, and safety and reliability of transmitted data are guaranteed.
With the combination of the above embodiments, the present invention has the following beneficial effects:
the technical effects of improving the transmission reliability and accuracy of the mobile terminal data acquisition device and improving the data transmission quality and the safety and reliability of transmission data are achieved by connecting a background data management system with the mobile terminal data acquisition device in a communication mode, acquiring an initial transmission data set acquired by the mobile terminal data acquisition device, inputting the initial transmission data set into the background management platform according to the connection relation, carrying out multi-index monitoring on the initial transmission data set according to a data monitoring model embedded in the background management platform, outputting a data monitoring result, acquiring data which cannot be monitored according to the data monitoring result, generating a secondary data acquisition instruction according to the data which cannot be monitored, carrying out secondary data acquisition on the mobile terminal data acquisition device according to the secondary data acquisition instruction, acquiring a secondary transmission data set, and further updating the initial transmission data set by using the secondary transmission data set.
The initial data set is divided into stages according to the index difference value of the transmission delay index and the data aging index, the stages are sequentially transmitted to a background data management system in a plurality of transmission stages, each stage corresponds to a data monitoring result, parallel processing of a plurality of channels corresponding to the stages is achieved, and therefore reliability and transmission efficiency of data are improved on the basis of improving data transmission integrity.
Example two
Based on the same inventive concept as the data acquisition and analysis method based on the mobile terminal in the foregoing embodiment, the present invention further provides a system of the data acquisition and analysis method based on the mobile terminal, as shown in fig. 4, the system includes:
the mobile terminal data acquisition module 11 is used for acquiring an initial transmission data set according to the mobile terminal data acquisition device;
the data channel analysis module 12 is used for connecting the background data management system and the mobile terminal data acquisition device, analyzing a channel for data transmission, and acquiring a data transmission channel;
a data channel transmission module 13, configured to transmit the initial transmission data set to the background data management system according to the data transmission channel, where a data monitoring model is embedded in the background data management system;
the data monitoring and analyzing module 14 is configured to perform multi-index monitoring on the initial transmission data set according to the data monitoring model embedded in the background data management system, and output a data monitoring result;
the data acquisition judging module 15 is used for judging whether to activate a secondary data acquisition instruction according to the data monitoring result;
the secondary data acquisition module 16 is configured to send the secondary data acquisition instruction to the mobile terminal data acquisition device to acquire a secondary transmission data set if the secondary data acquisition instruction is activated;
and a data updating processing module 17, configured to update the initial transmission data set according to the secondary transmission data set.
Further, the system further comprises:
a data source obtaining unit, configured to obtain data source information of the initial transmission data set;
the data index analysis unit is used for acquiring a data timeliness index, a data integrity index and a data stability index according to the data source information;
the monitoring model training unit is used for performing model training by taking the data timeliness index, the data integrity index and the data stability index as three-dimensional modeling indexes, acquiring the data monitoring model, and outputting a timeliness index, an integrity index and a stability index according to the data monitoring model;
and the monitoring result output unit is used for outputting the data monitoring result according to the aging index, the integrity index and the stability index.
Further, the system further comprises:
the data security analysis unit is used for analyzing the data security of the initial transmission data set to obtain a data security level;
the data security judging unit is used for activating the data security monitoring model when the data security level is greater than a preset data security level, wherein data interaction is performed between the data security monitoring model and the data monitoring model;
and the encryption algorithm analysis unit is used for obtaining the transmission security index by analyzing the level of the channel encryption algorithm in the data transmission channel.
Further, the system further comprises:
the safety index transmission unit is used for inputting the transmission safety index into the data monitoring model after the data safety monitoring model is activated;
the weight configuration analysis unit is used for carrying out standardization processing on the transmission safety index, the aging index, the complete index and the stable index, carrying out AHP matrix construction according to an index set after standardization processing, and outputting configuration weights according to the AHP matrix;
and the weight calculation output unit is used for acquiring the data monitoring result according to the configuration weight.
Further, the system further comprises:
the time sequence sample acquisition unit is used for acquiring transmission sample data by acquiring data transmission time sequence samples of the data transmission channel;
a transmission delay analysis unit, configured to perform transmission delay timing analysis according to the transmission sample data to obtain a transmission delay index;
the data aging analysis unit is used for acquiring a data aging index of the data monitoring model;
and the parallel processing judging unit is used for judging whether a parallel processing instruction is activated or not by comparing the transmission delay index and the data aging index, and acquiring the secondary transmission data set according to the secondary data acquisition instruction if the parallel processing instruction is not activated.
Further, the system further comprises:
the index difference value calculation unit is used for acquiring the index difference value of the transmission delay index and the data aging index if the parallel processing instruction is activated;
the data stage division unit is used for carrying out stage division on the initial transmission data set according to the index difference value to generate a plurality of transmission stages;
and the parallel transmission processing unit is used for monitoring data in the plurality of transmission stages to realize data parallel transmission processing.
The invention also provides an electronic device and a readable storage medium according to the embodiment of the invention.
FIG. 5 shows a schematic block diagram of an electronic device that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
The device 500 comprises a computing unit 501 which may perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
A number of components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, or the like; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508, such as a magnetic disk, optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 501 executes the respective methods and processes described above, such as the methods S100 to S700. For example, in some embodiments, methods S100-S700 may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the methods S100-S700 described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the methods S100-S700 by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
Those of ordinary skill in the art will appreciate that the various illustrative devices and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. The above embodiments are only specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A data acquisition and analysis method based on a mobile terminal is characterized in that the method is applied to a data acquisition and analysis system of the mobile terminal, the system is in communication connection with a background data management system and a mobile terminal data acquisition device, and the method comprises the following steps:
acquiring an initial transmission data set according to the mobile terminal data acquisition device;
connecting the background data management system and the mobile terminal data acquisition device, analyzing a channel for data transmission, and acquiring a data transmission channel;
transmitting the initial transmission data set to the background data management system according to the data transmission channel, wherein a data monitoring model is embedded in the background data management system;
performing multi-index monitoring on the initial transmission data set according to the data monitoring model embedded in the background data management system, and outputting a data monitoring result;
judging whether a secondary data acquisition instruction is activated or not according to the data monitoring result;
if the secondary data acquisition instruction is activated, sending the secondary data acquisition instruction to the mobile terminal data acquisition device to acquire a secondary transmission data set;
and updating the initial transmission data set according to the secondary transmission data set.
2. The method of claim 1, wherein the method further comprises:
acquiring data source information of the initial transmission data set;
acquiring a data timeliness index, a data integrity index and a data stability index according to the data source information;
performing model training by taking the data timeliness index, the data integrity index and the data stability index as three-dimensional modeling indexes to obtain the data monitoring model, and outputting a timeliness index, an integrity index and a stability index according to the data monitoring model;
and outputting the data monitoring result according to the aging index, the integrity index and the stability index.
3. The method of claim 2, wherein the background data management system further comprises a data security monitoring model, the method further comprising:
acquiring a data security level by analyzing the data security of the initial transmission data set;
when the data security level is greater than a preset data security level, activating the data security monitoring model, wherein data interaction is performed between the data security monitoring model and the data monitoring model;
and acquiring a transmission safety index by analyzing the grade of a channel encryption algorithm in the data transmission channel.
4. The method of claim 3, wherein the method further comprises:
inputting the transmission safety index into the data monitoring model after the data safety monitoring model is activated;
standardizing the transmission safety index, the aging index, the integrity index and the stability index, building an AHP matrix according to an index set after the standardization, and outputting a configuration weight according to the AHP matrix;
and acquiring the data monitoring result according to the configuration weight.
5. The method of claim 2, wherein the method further comprises:
acquiring transmission sample data by acquiring a data transmission time sequence sample of the data transmission channel;
performing transmission delay time sequence analysis according to the transmission sample data to obtain a transmission delay index;
acquiring a data timeliness index of the data monitoring model;
and judging whether a parallel processing instruction is activated or not by comparing the transmission delay index and the data aging index, and if the parallel processing instruction is not activated, acquiring the secondary transmission data set according to the secondary data acquisition instruction.
6. The method of claim 5, wherein the method further comprises:
if the parallel processing instruction is activated, acquiring an index difference value of the transmission delay index and the data timeliness index;
according to the index difference value, carrying out stage division on the initial transmission data set to generate a plurality of transmission stages;
and monitoring data in the multiple transmission stages to realize data parallel transmission processing.
7. A system of a data acquisition and analysis method based on a mobile terminal is characterized in that the system is in communication connection with a background data management system and a mobile terminal data acquisition device, and the system comprises:
the mobile terminal data acquisition module is used for acquiring an initial transmission data set according to the mobile terminal data acquisition device;
the data channel analysis module is used for connecting the background data management system and the mobile terminal data acquisition device, analyzing a channel for data transmission and acquiring a data transmission channel;
the data channel transmission module is used for transmitting the initial transmission data set to the background data management system according to the data transmission channel, wherein a data monitoring model is embedded in the background data management system;
the data monitoring and analyzing module is used for carrying out multi-index monitoring on the initial transmission data set according to the data monitoring model embedded in the background data management system and outputting a data monitoring result;
the data acquisition judging module is used for judging whether to activate a secondary data acquisition instruction according to the data monitoring result;
the secondary data acquisition module is used for sending the secondary data acquisition instruction to the mobile terminal data acquisition device to acquire a secondary transmission data set if the secondary data acquisition instruction is activated;
and the data updating processing module is used for updating the initial transmission data set according to the secondary transmission data set.
8. An electronic device comprising at least one processor; and
a memory communicatively coupled to the at least one processor; it is characterized in that the preparation method is characterized in that,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
9. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-6.
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