CN116614527B - Credit data sniffing and collecting system and method based on artificial intelligence - Google Patents
Credit data sniffing and collecting system and method based on artificial intelligence Download PDFInfo
- Publication number
- CN116614527B CN116614527B CN202310583101.5A CN202310583101A CN116614527B CN 116614527 B CN116614527 B CN 116614527B CN 202310583101 A CN202310583101 A CN 202310583101A CN 116614527 B CN116614527 B CN 116614527B
- Authority
- CN
- China
- Prior art keywords
- data
- sniffing
- sniffer
- model
- unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 38
- 230000003287 optical effect Effects 0.000 claims description 58
- 238000012545 processing Methods 0.000 claims description 24
- 230000005540 biological transmission Effects 0.000 claims description 20
- 238000004891 communication Methods 0.000 claims description 18
- 238000013528 artificial neural network Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 9
- 230000000977 initiatory effect Effects 0.000 claims description 7
- 238000012797 qualification Methods 0.000 claims description 7
- 238000013135 deep learning Methods 0.000 claims description 6
- 230000011664 signaling Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 9
- 238000004458 analytical method Methods 0.000 description 8
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000003139 buffering effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/60—Context-dependent security
- H04W12/66—Trust-dependent, e.g. using trust scores or trust relationships
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a credit data sniffing and collecting system and a credit data sniffing and collecting method based on artificial intelligence. According to the scheme, after the first intelligent terminal initiates the application, data sniffing and acquisition can be automatically and intelligently performed, the safety of the data sniffing and acquisition process can be ensured, and the data sniffing and acquisition efficiency can be effectively improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a credit data sniffing and collecting system and a credit data sniffing and collecting method based on artificial intelligence.
Background
Artificial intelligence is a new technical science for studying, developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence, is a branch of computer science that attempts to understand the essence of intelligence and to produce a new intelligent machine that can react in a similar manner to human intelligence, and research in this field includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others.
In real life, when a credit is evaluated on a certain subject, some data/data related to the credit is required to be collected from the corresponding subject, most of the existing data/data collecting processes are performed manually, but the data/data collecting process is very huge in workload, and in the prior art, the data collected in the history is sometimes found to establish a database, but in this case, related data still needs to be manually searched for when the credit is evaluated.
Disclosure of Invention
The invention is based on the above problems, and provides a credit data sniffing and collecting system and a credit data sniffing and collecting method based on artificial intelligence.
In view of this, an aspect of the present invention proposes an artificial intelligence based credit data sniffing and acquisition system comprising: the system comprises a first intelligent terminal for initiating data sniffing and acquisition applications, a first server for performing preliminary processing on the data sniffing and acquisition applications, a second server for performing data qualification judgment, a third server for performing security processing on the data and a plurality of data sniffers for performing data sniffing and acquisition;
The data sniffer comprises a body, a network connection component, a control processor, a data acquisition unit, a positioning unit, an optical communication component, a mechanical foot, a power component and a transmission component; the network connection component, the control processor, the data acquisition unit, the positioning unit, the power component and the transmission component are all arranged in the body;
The mechanical foot is arranged on the lower surface of the body to support the body and control the mechanical foot to move through the power assembly and the transmission assembly so as to realize the movement of the data sniffer;
The control processor is deployed with a data sniffing model and a data acquisition model which are trained by utilizing a neural network;
The network connection component comprises a plurality of wireless connection units, a plurality of wired connection units and a connection switching unit;
the control processor is respectively and electrically connected with the wireless connection unit and the wired connection unit;
The connection switching unit is electrically connected with the control processor to control the network access state of the data sniffer.
Optionally, a first cavity is formed in the upper half part of the inner part of the body, and a horizontally arranged bearing plate is fixedly connected below the inner part of the first cavity;
The lower part of the bearing plate is a second cavity positioned at the lower inner half part of the body;
the plurality of wired connection units are arranged in the first cavity;
The upper surface of the body is provided with a plurality of connecting holes corresponding to the plurality of wired connecting units in number, and each wired connecting unit in the plurality of wired connecting units comprises a connecting port;
the connecting ports are correspondingly arranged in the connecting holes and used for inserting connecting signal wires of corresponding models.
Optionally, the body includes first and second side walls that are spatially opposite and third and fourth side walls that are spatially opposite;
a connection switching key electrically connected with the connection switching unit is arranged on the surface of the first side wall so as to realize manual control of the network access state of the data sniffer;
the second side wall is provided with a camera which is internally provided with an image recognition algorithm;
The third wall is provided with a microphone with a built-in voice recognition algorithm;
And the fourth side wall is provided with a manipulator, and when the data sniffer recognizes the corresponding connection signal wire through the camera, the manipulator is controlled to insert the connector of the connection signal wire into the corresponding first connection hole in the plurality of connection holes.
Optionally, the optical communication assembly includes a first optical signal receiving unit, a first processor unit, a first modem unit, a first driving unit, and a first amplifier unit;
The first processor unit, the first modem unit, the first driving unit and the first amplifier unit are arranged in the body;
The first optical signal receiving and transmitting unit is arranged on the upper surface of the body.
Optionally, a vibration sensor and a temperature sensor are arranged on the mechanical foot and are respectively used for acquiring vibration data and temperature data of the position of the data sniffer.
The invention provides a credit data sniffing and collecting method based on artificial intelligence, which is applied to a credit data sniffing and collecting system based on artificial intelligence, wherein the credit data sniffing and collecting system based on artificial intelligence comprises a first intelligent terminal for initiating a data sniffing and collecting application, a first server for initially processing the data sniffing and collecting application, a second server for judging the data qualification, a third server for safely processing the data and a plurality of data sniffing devices for sniffing and collecting the data; the credit data sniffing and collecting method based on artificial intelligence comprises the following steps:
the first intelligent terminal generates a first data sniffing and collecting application and sends the first data sniffing and collecting application to the first server;
The first server receives the first data sniffing and collecting application, analyzes a first sniffing and collecting object from the first data sniffing and collecting application, and generates a first data sniffing and collecting standard;
transmitting the first sniffing and collecting object and the first data sniffing and collecting standard to the second server;
The second server generates a first data sniffing model and a first data acquisition model by using a deep learning algorithm and a neural network according to the first sniffing and acquisition object and the first data sniffing and acquisition standard, and sends the first data sniffing model and the first data acquisition model to the third server;
The third server selects a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sends the first data sniffer model and the first data acquisition model to the first data sniffer;
the first data sniffer receives the first data sniffer model and the first data acquisition model, performs data sniffer according to the first data sniffer model connected to a corresponding first network to obtain a first sniffer result, and performs data acquisition according to the first sniffer result and the first data acquisition model to obtain first data.
Optionally, the method further comprises:
the first data sniffer sends the first data to the third server;
The third server classifies, numbers and encrypts the first data to obtain second data, and sends the second data to the second server;
the second server analyzes the second data according to the first data sniffing and collecting standard to obtain a first data analysis result, and sends the first analysis result to the first server;
And the first server sends the data which is determined to correspond to the first analysis result to the first intelligent terminal according to the data query requirement of the first intelligent terminal.
Optionally, the first data sniffer receives the first data sniffer model and the first data acquisition model, connects to a corresponding first network according to the first data sniffer model to sniff data to obtain a first sniff result, and performs data acquisition according to the first sniff result and the first data acquisition model to obtain first data, including:
The first data sniffer determines the first network to which the object to be sniffed is connected according to the first data sniffer model, and acquires network attribute information of the first network;
Determining a best-matched network connection mode and a best-matched network connection point according to the network attribute information, and connecting to the first network according to the network connection mode and the network connection point to perform data sniffing to obtain a first sniffing result;
And the first data sniffer controls the corresponding camera module, the audio acquisition module and the network data acquisition module to acquire image data, audio data and network data respectively according to the first sniffing result and the first data acquisition model.
Optionally, the credit data sniffing and collecting system based on artificial intelligence further comprises an intelligent light source terminal, wherein the intelligent light source terminal comprises a second optical signal receiving and transmitting unit, a second processor unit, a second modem unit, a second driving unit and a second amplifier unit;
the third server selecting a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sending the first data sniffer model and the first data acquisition model to the first data sniffer, comprising:
the third server selects a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and determines a first intelligent light source terminal corresponding to the first sniffer from a plurality of intelligent light source terminals;
the third server sends the first data sniffing model and the first data acquisition model to the first intelligent light source terminal;
The first intelligent light source terminal receives the first data sniffing model and the first data acquisition model, then generates first coded data corresponding to the first data sniffing model and the first data acquisition model, and sends the first coded data to the second modem module.
The second modem module receives the first encoded data and converts the first encoded data into a level modulated signal;
The second driving module drives the second optical signal receiving and transmitting module to output a first optical signal containing information under the control of the level modulation signal, and the light emitted by the second optical signal receiving and transmitting module is visible light or invisible light, and the invisible light can be infrared light or ultraviolet light;
the second amplifier module amplifies the output signal of the second optical signal receiving and transmitting module.
Optionally, the first data sniffer comprises a first optical signal receiving and transmitting unit, a first processor unit, a first modem unit, a first driving unit and a first amplifier unit;
The first optical signal receiving and transmitting module receives the first optical signal transmitted by the first intelligent light source terminal and converts the first optical signal into a first electric signal;
the first amplifier module is used for amplifying the first electric signal output by the first optical signal receiving and transmitting module;
the first modulation and demodulation module restores the first electric signal into an original signal;
the first processor module is used for receiving the original signal output by the first modem module, controlling the data sniffer according to the original signal, and generating a first level modulation signal containing feedback information;
the first driving module drives the first optical signal receiving and transmitting module to transmit signals containing the feedback information under the control of the first level modulation signals.
By adopting the technical scheme, the credit data sniffing and collecting system based on artificial intelligence is provided with a first intelligent terminal for initiating data sniffing and collecting application, a first server for primarily processing the data sniffing and collecting application, a second server for judging the data qualification, a third server for safely processing the data and a plurality of data sniffing devices for sniffing and collecting the data. According to the scheme, after the first intelligent terminal initiates the application, data sniffing and acquisition can be automatically and intelligently performed, the safety of the data sniffing and acquisition process can be ensured, and the data sniffing and acquisition efficiency can be effectively improved.
Drawings
FIG. 1 is a schematic block diagram of an artificial intelligence based credit data sniffing and acquisition system provided by an embodiment of the invention;
FIG. 2 is a flow chart of an artificial intelligence based credit data sniffing and collecting method according to an embodiment of the invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced otherwise than as described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
An artificial intelligence-based credit data sniffing and collecting system and a method thereof according to some embodiments of the present invention are described below with reference to fig. 1 to 2.
As shown in fig. 1, one embodiment of the present invention provides an artificial intelligence based credit data sniffing and acquisition system comprising: the system comprises a first intelligent terminal for initiating data sniffing and acquisition applications, a first server for performing preliminary processing on the data sniffing and acquisition applications, a second server for performing data qualification judgment, a third server for performing security processing on the data and a plurality of data sniffers for performing data sniffing and acquisition;
The data sniffer comprises a body, a network connection component, a control processor, a data acquisition unit, a positioning unit, an optical communication component, a mechanical foot, a power component and a transmission component; the network connection component, the control processor, the data acquisition unit, the positioning unit, the power component and the transmission component are all arranged in the body;
The mechanical foot is arranged on the lower surface of the body to support the body and control the mechanical foot to move through the power assembly and the transmission assembly so as to realize the movement of the data sniffer;
The control processor is deployed with a data sniffing model and a data acquisition model which are trained by utilizing a neural network;
The network connection component comprises a plurality of wireless connection units, a plurality of wired connection units and a connection switching unit;
the control processor is respectively and electrically connected with the wireless connection unit and the wired connection unit;
The connection switching unit is electrically connected with the control processor to control the network access state of the data sniffer.
It may be understood that in the embodiment of the present invention, the first intelligent terminal may be a notebook computer, a desktop computer, a smart phone, a palm computer, a tablet computer, etc., and according to actual needs or according to periodic triggering setting, the first intelligent terminal may be used to generate a first data sniffing and collecting application and send the first data sniffing and collecting application to the first server. The first server may be an edge server or an internet of things server, and may be actually set in a line of supervision department, and may perform preliminary processing on the data sniffing and collecting application to ensure convenience and safety of a subsequent procedure, for example, parse a first sniffing and collecting object from the first data sniffing and collecting application, further determine a network accessed by the first sniffing and collecting object, features of the first sniffing and collecting object, and generate a first data sniffing and collecting standard (including but not limited to sniffing/collecting requirements, sniffing/collecting safety requirements, privacy protection requirements, sniffing/collecting frequency, sniffing/collecting data types and types, and the like).
The second server may be a cloud server, and is configured to manage the first server and perform data eligibility judgment, operation legitimacy judgment, and so on, and may actually be set in a supervision unit with a higher level or authority, where the second server generates a first data sniffing model and a first data acquisition model (the first data sniffing/acquisition model includes, but is not limited to, a data sniffing/acquisition object, a data sniffing/acquisition address, accessed network connection point information, a data sniffing/acquisition data type or data quality standard, a data security standard, a data accuracy standard, a data sniffing/acquisition operation procedure, a data sniffing/acquisition trigger condition, and so on according to the first sniffing and acquisition object, the first data sniffing and acquisition standard, and generates a first data sniffing model and a first data acquisition model (the first data sniffing/acquisition model includes, but is not limited to, the first data sniffing/acquisition object, the data sniffing/acquisition address, the accessed network connection point information, the data sniffing/acquisition type or the data quality standard, the data security standard, the data sniffing/acquisition operation procedure, and the data sniffing/acquisition trigger condition, and so on) by using the deep learning algorithm and the neural network (the data sniffing model and the data sniffing model;
The third server may be a security server, configured to perform security processing on data and manage the data sniffer, preset a security detection program, an encryption algorithm, a data security transmission scheme, and the like, and may parse related information of a first sniffing and collecting object from a first data sniffing/collecting model, select a corresponding first data sniffer from a plurality of data sniffers according to the first sniffing and collecting object, and send the first data sniffer model and the first data collecting model to the first data sniffer. It is understood that the functional, performance, architecture, type, etc. aspects of the individual data sniffers may vary. In this embodiment, the data sniffer (the structure of the data sniffer is not shown in the figure) includes a body, a control processor, a network connection component electrically connected to the control processor, a data acquisition unit, a positioning unit, an optical communication component, a mechanical foot, a power component, and a transmission component; the network connection component, the control processor, the data acquisition unit, the positioning unit, the power component and the transmission component are all arranged in the body; the mechanical foot (connected with the power assembly and the transmission assembly) is arranged on the lower surface of the body so as to support the body and control the mechanical foot to move through the power assembly and the transmission assembly so as to realize the movement of the data sniffer; the control processor is deployed with a data sniffing model and a data acquisition model which are received from a third server and trained by using a neural network; the network connection component comprises a plurality of wireless connection units, a plurality of wired connection units and a connection switching unit; the control processor is respectively and electrically connected with the wireless connection unit and the wired connection unit; the connection switching unit is electrically connected with the control processor to control the network access state of the data sniffer.
The first data sniffer receives the first data sniffer model and the first data acquisition model, performs data sniffer to obtain a first sniffer result by accessing the first data sniffer model to a first network connection point in a corresponding first network through wired connection and/or wireless connection, and performs data acquisition to obtain first data according to the first sniffer result and the first data acquisition model. The first data sniffing model can be connected to the first network through a wired connection, and is connected to the second network through a wireless connection at the same time so as to ensure the overall data sniffing and acquisition.
According to the scheme, after the first intelligent terminal initiates the application, data sniffing and acquisition can be automatically and intelligently performed, the safety of the data sniffing and acquisition process can be ensured, and the data sniffing and acquisition efficiency can be effectively improved.
It should be appreciated that the block diagram of the artificial intelligence based credit data sniffing and acquisition system shown in fig. 1 is illustrative only and the number of modules shown is not limiting on the scope of the invention.
In some possible embodiments of the present invention, a first cavity is formed in an upper inner half of the body, and a horizontally arranged bearing plate is fixedly connected below an inner part of the first cavity;
The lower part of the bearing plate is a second cavity positioned at the lower inner half part of the body;
the plurality of wired connection units are arranged in the first cavity;
The upper surface of the body is provided with a plurality of connecting holes corresponding to the plurality of wired connecting units in number, and each wired connecting unit in the plurality of wired connecting units comprises a connecting port;
the connecting ports are correspondingly arranged in the connecting holes and used for inserting connecting signal wires of corresponding models.
It can be understood that, in order to ensure the stability of the data sniffer structure and flexibly match with various connection signal lines, in this embodiment, a receiving board is horizontally disposed in the internal cavity of the body, so as to divide the internal cavity into a first cavity at the upper part and a second cavity at the lower part, and a plurality of wired connection units are disposed in the first cavity; the upper surface of the body is provided with a plurality of connecting holes corresponding to the plurality of wired connecting units in number, namely one wired connecting unit is connected with one connecting hole, and the wired connecting units in each wired connecting unit comprise connecting ports (each connecting port is set to correspond to different connecting signal line standards); the connecting ports are correspondingly arranged in the connecting holes and used for inserting connecting signal wires of corresponding models.
In some possible embodiments of the invention, the body comprises first and second spatially opposite side walls and third and fourth spatially opposite side walls;
a connection switching key electrically connected with the connection switching unit is arranged on the surface of the first side wall so as to realize manual control of the network access state of the data sniffer;
the second side wall is provided with a camera which is internally provided with an image recognition algorithm;
The third wall is provided with a microphone with a built-in voice recognition algorithm;
And the fourth side wall is provided with a manipulator, and when the data sniffer recognizes the corresponding connection signal wire through the camera, the manipulator is controlled to insert the connector of the connection signal wire into the corresponding first connection hole in the plurality of connection holes.
It is understood that the body includes a first side wall and a second side wall that are spatially opposite, and a third side wall and a fourth side wall that are spatially opposite, i.e., a front side wall, a rear side wall, a left side wall, and a right side wall, respectively. In order to further improve the adaptability and intelligence of the data sniffer, in this embodiment, a connection switching key electrically connected to the connection switching unit is installed on the surface of the first sidewall to realize manual control of the network access state of the data sniffer, so that when an automatic switching failure occurs, manual intervention can be performed; the second side wall is provided with a camera which is internally provided with an image recognition algorithm and is electrically connected with the control processor; the third wall is provided with a microphone or other audio acquisition device which is internally provided with a voice recognition algorithm and is electrically connected with the control processor; and the fourth side wall is provided with a manipulator which is respectively connected with the control processor, the power assembly and the transmission assembly, and when the data sniffer recognizes the corresponding connection signal wire through the camera, the manipulator is controlled to insert the connector of the connection signal wire into the corresponding first connection hole in the plurality of connection holes.
In some possible embodiments of the present invention, the optical communication component includes a first optical signal receiving unit, a first processor unit, a first modem unit, a first driving unit, and a first amplifier unit;
The first processor unit, the first modem unit, the first driving unit and the first amplifier unit are arranged in the body;
The first optical signal receiving and transmitting unit is arranged on the upper surface of the body.
It may be appreciated that, in order to ensure normal communication with the data sniffer when the conventional communication network fails, in this embodiment, an optical communication component is provided for the data sniffer so that the data sniffer has optical communication capability, and the optical communication component includes a first optical signal receiving and transmitting unit, a first processor unit, a first modem unit, a first driving unit and a first amplifier unit; the first processor unit, the first modem unit, the first driving unit and the first amplifier unit are arranged in the body; the first optical signal receiving and transmitting unit is arranged on the upper surface of the body.
In some possible embodiments of the present invention, a vibration sensor and a temperature sensor are disposed on the mechanical foot, and are respectively used for acquiring vibration data and temperature data of the position of the data sniffer.
It can be appreciated that in order to improve the adaptability of the data sniffer to the environment, and ensure the safety of the data sniffer at the same time, in this embodiment, a vibration sensor and a temperature sensor are disposed on the mechanical foot and are respectively used for acquiring vibration data and temperature data of the position where the data sniffer is located, and further, the data sniffer can further be provided with a vibration buffering component and a temperature adjusting component to buffer the influence of vibration on the data sniffer and adjust the temperature of the data sniffer so as to enable the data sniffer to be at a normal working temperature.
It should be noted that, in the embodiment of the present invention, the operation method corresponding to each embodiment of the credit data sniffing and collecting system based on artificial intelligence may refer to each embodiment of the credit data sniffing and collecting method based on artificial intelligence provided later, which is not described herein.
Referring to fig. 2, another embodiment of the present invention provides a credit data sniffing and collecting method based on artificial intelligence, which is applied to a credit data sniffing and collecting system based on artificial intelligence, wherein the credit data sniffing and collecting system based on artificial intelligence comprises a first intelligent terminal for initiating a data sniffing and collecting application, a first server for primarily processing the data sniffing and collecting application, a second server for judging the qualification of data, a third server for safely processing the data and a plurality of data sniffers for sniffing and collecting the data; the credit data sniffing and collecting method based on artificial intelligence comprises the following steps:
the first intelligent terminal generates a first data sniffing and collecting application and sends the first data sniffing and collecting application to the first server;
The first server receives the first data sniffing and collecting application, analyzes a first sniffing and collecting object from the first data sniffing and collecting application, and generates a first data sniffing and collecting standard;
transmitting the first sniffing and collecting object and the first data sniffing and collecting standard to the second server;
The second server generates a first data sniffing model and a first data acquisition model by using a deep learning algorithm and a neural network according to the first sniffing and acquisition object and the first data sniffing and acquisition standard, and sends the first data sniffing model and the first data acquisition model to the third server;
The third server selects a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sends the first data sniffer model and the first data acquisition model to the first data sniffer;
the first data sniffer receives the first data sniffer model and the first data acquisition model, performs data sniffer according to the first data sniffer model connected to a corresponding first network to obtain a first sniffer result, and performs data acquisition according to the first sniffer result and the first data acquisition model to obtain first data.
It may be understood that in the embodiment of the present invention, the first intelligent terminal may be a notebook computer, a desktop computer, a smart phone, a palm computer, a tablet computer, etc., and according to actual needs or according to periodic triggering setting, the first intelligent terminal may be used to generate a first data sniffing and collecting application and send the first data sniffing and collecting application to the first server. The first server may be an edge server or an internet of things server, and may be actually set in a line of supervision department, and may perform preliminary processing on the data sniffing and collecting application to ensure convenience and safety of a subsequent procedure, for example, parse a first sniffing and collecting object from the first data sniffing and collecting application, further determine a network accessed by the first sniffing and collecting object, features of the first sniffing and collecting object, and generate a first data sniffing and collecting standard (including but not limited to sniffing/collecting requirements, sniffing/collecting safety requirements, privacy protection requirements, sniffing/collecting frequency, sniffing/collecting data types and types, and the like).
The second server may be a cloud server, and is configured to manage the first server and perform data eligibility judgment, operation legitimacy judgment, and so on, and may actually be set in a supervision unit with a higher level or authority, where the second server generates a first data sniffing model and a first data acquisition model (the first data sniffing/acquisition model includes, but is not limited to, a data sniffing/acquisition object, a data sniffing/acquisition address, accessed network connection point information, a data sniffing/acquisition data type or data quality standard, a data security standard, a data accuracy standard, a data sniffing/acquisition operation procedure, a data sniffing/acquisition trigger condition, and so on according to the first sniffing and acquisition object, the first data sniffing and acquisition standard, and generates a first data sniffing model and a first data acquisition model (the first data sniffing/acquisition model includes, but is not limited to, the first data sniffing/acquisition object, the data sniffing/acquisition address, the accessed network connection point information, the data sniffing/acquisition type or the data quality standard, the data security standard, the data sniffing/acquisition operation procedure, and the data sniffing/acquisition trigger condition, and so on) by using the deep learning algorithm and the neural network (the data sniffing model and the data sniffing model;
The third server may be a security server, configured to perform security processing on data and manage the data sniffer, preset a security detection program, an encryption algorithm, a data security transmission scheme, and the like, and may parse related information of a first sniffing and collecting object from a first data sniffing/collecting model, select a corresponding first data sniffer from a plurality of data sniffers according to the first sniffing and collecting object, and send the first data sniffer model and the first data collecting model to the first data sniffer. It is understood that the functional, performance, architecture, type, etc. aspects of the individual data sniffers may vary.
The first data sniffer receives the first data sniffer model and the first data acquisition model, performs data sniffer to obtain a first sniffer result by accessing the first data sniffer model to a first network connection point in a corresponding first network through wired connection and/or wireless connection, and performs data acquisition to obtain first data according to the first sniffer result and the first data acquisition model. The first data sniffing model can be connected to the first network through a wired connection, and is connected to the second network through a wireless connection at the same time so as to ensure the overall data sniffing and acquisition.
According to the scheme, after the first intelligent terminal initiates the application, data sniffing and acquisition can be automatically and intelligently performed, the safety of the data sniffing and acquisition process can be ensured, and the data sniffing and acquisition efficiency can be effectively improved.
In some possible embodiments of the present invention, the artificial intelligence based credit data sniffing and collecting method further comprises:
the first data sniffer sends the first data to the third server;
The third server classifies, numbers and encrypts the first data to obtain second data, and sends the second data to the second server;
the second server analyzes the second data according to the first data sniffing and collecting standard to obtain a first data analysis result, and sends the first analysis result to the first server;
And the first server sends the data which is determined to correspond to the first analysis result to the first intelligent terminal according to the data query requirement of the first intelligent terminal.
It will be appreciated that in this embodiment, the first data sniffer sends the first data to the third server; in order to ensure the safety of the data and the rapidness of subsequent processing, the third server classifies, numbers and encrypts the first data to obtain second data, and sends the second data to the second server. The second server analyzes the second data according to the first data sniffing and collecting standard by utilizing the strong processing capacity of the second server and a pre-deployed data processing model and analysis algorithm to obtain a first data analysis result, and sends the first analysis result to the first server; and the first server determines corresponding data from the first analysis result according to the data query requirement of the first intelligent terminal (in order to ensure privacy security and data security, the first server selects data corresponding to the data query requirement from the first analysis result according to the data query requirement of the first intelligent terminal and processes the data corresponding to the data query requirement) and sends the data to the first intelligent terminal.
In some possible embodiments of the present invention, the step of receiving the first data sniffer model and the first data acquisition model by the first data sniffer, connecting the first data sniffer model to a corresponding first network to sniff data to obtain a first sniff result, and performing data acquisition according to the first sniff result and the first data acquisition model to obtain first data includes:
The first data sniffer determines the first network to which the object to be sniffed is connected according to the first data sniffer model, and acquires network attribute information of the first network;
Determining a best-matched network connection mode and a best-matched network connection point according to the network attribute information, and connecting to the first network according to the network connection mode and the network connection point to perform data sniffing to obtain a first sniffing result;
And the first data sniffer controls the corresponding camera module, the audio acquisition module and the network data acquisition module to acquire image data, audio data and network data respectively according to the first sniffing result and the first data acquisition model.
It may be appreciated that, in order to improve accuracy, comprehensiveness and efficiency of data sniffing and acquisition, in this embodiment, the first data sniffer determines, according to the first data sniffer model, the first network to which an object to be sniffed is connected, and acquires network attribute information of the first network; determining a best-matched network connection mode (including but not limited to a network connection protocol, a network security connection standard, a data transmission standard and the like) and a network connection point according to the network attribute information, and connecting to the first network according to the network connection mode and the network connection point to perform data sniffing to obtain a first sniffing result; and the first data sniffer controls the corresponding camera module, the audio acquisition module and the network data acquisition module to acquire image data, audio data and network data respectively according to the first sniffing result and the first data acquisition model. It should be noted that, in order to make data sniffing and collecting complete and missing, in this embodiment, not only sniffing and collecting network data transmitted in the network, but also image data (such as personnel face data, personnel activity data, field image data, etc.) and audio data (such as personnel sound data, machine sound data, etc.) are collected by controlling the corresponding camera module, the audio collection module on the data sniffer so as to increase the data breadth, thereby further ensuring the accuracy of the data.
In some possible embodiments of the present invention, the artificial intelligence-based credit data sniffing and collecting system further comprises a plurality of intelligent light source terminals, wherein the intelligent light source terminals comprise a second optical signal receiving and transmitting unit, a second processor unit, a second modem unit, a second driving unit and a second amplifier unit;
the third server selecting a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sending the first data sniffer model and the first data acquisition model to the first data sniffer, comprising:
the third server selects a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and determines a first intelligent light source terminal corresponding to the first sniffer from a plurality of intelligent light source terminals;
the third server sends the first data sniffing model and the first data acquisition model to the first intelligent light source terminal;
The first intelligent light source terminal receives the first data sniffing model and the first data acquisition model, then generates first coded data corresponding to the first data sniffing model and the first data acquisition model, and sends the first coded data to the second modem module.
The second modem module receives the first encoded data and converts the first encoded data into a level modulated signal;
The second driving module drives the second optical signal receiving and transmitting module to output a first optical signal containing information under the control of the level modulation signal, and the light emitted by the second optical signal receiving and transmitting module is visible light or invisible light, and the invisible light can be infrared light or ultraviolet light;
the second amplifier module amplifies the output signal of the second optical signal receiving and transmitting module.
It may be appreciated that, in order to ensure that communication with the data sniffer is smooth, in this embodiment, the credit data sniffer and collection system based on artificial intelligence further includes a plurality of intelligent light source terminals, each of which corresponds to a different data sniffer according to a difference in function, performance, location, etc., and includes a second optical signal receiving unit, a second processor unit, a second modem unit, a second driving unit, and a second amplifier unit. And through processing the data sent by the third server by each module in the intelligent light source terminal, sending related data to the corresponding data sniffer through optical communication.
In some possible embodiments of the present invention, the first data sniffer comprises a first optical signaling unit, a first processor unit, a first modem unit, a first driving unit and a first amplifier unit;
The first optical signal receiving and transmitting module receives the first optical signal transmitted by the first intelligent light source terminal and converts the first optical signal into a first electric signal;
the first amplifier module is used for amplifying the first electric signal output by the first optical signal receiving and transmitting module;
the first modulation and demodulation module restores the first electric signal into an original signal;
the first processor module is used for receiving the original signal output by the first modem module, controlling the data sniffer according to the original signal, and generating a first level modulation signal containing feedback information;
the first driving module drives the first optical signal receiving and transmitting module to transmit signals containing the feedback information under the control of the first level modulation signals.
It may be appreciated that, in order to match with the intelligent light source terminal to establish an optical communication connection to ensure the security and stability of the system, in this embodiment, the first data sniffer includes a first optical signal receiving and transmitting unit, a first processor unit, a first modem unit, a first driving unit and a first amplifier unit. And receiving and processing the light signals emitted by the intelligent light source terminal to obtain the first data sniffing model, the first data acquisition model and related control instructions.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Although the present invention is disclosed above, the present invention is not limited thereto. Variations and modifications, including combinations of the different functions and implementation steps, as well as embodiments of the software and hardware, may be readily apparent to those skilled in the art without departing from the spirit and scope of the invention.
Claims (6)
1. An artificial intelligence based credit data sniffing and acquisition system, comprising: the system comprises a first intelligent terminal for initiating data sniffing and acquisition applications, a first server for performing preliminary processing on the data sniffing and acquisition applications, a second server for performing data qualification judgment, a third server for performing security processing on the data and a plurality of data sniffers for performing data sniffing and acquisition;
The data sniffer comprises a body, a network connection component, a control processor, a data acquisition unit, a positioning unit, an optical communication component, a mechanical foot, a power component and a transmission component; the network connection component, the control processor, the data acquisition unit, the positioning unit, the power component and the transmission component are all arranged in the body;
The mechanical foot is arranged on the lower surface of the body to support the body and control the mechanical foot to move through the power assembly and the transmission assembly so as to realize the movement of the data sniffer;
The control processor is deployed with a data sniffing model and a data acquisition model which are trained by utilizing a neural network;
The network connection component comprises a plurality of wireless connection units, a plurality of wired connection units and a connection switching unit;
the control processor is respectively and electrically connected with the wireless connection unit and the wired connection unit;
The connection switching unit is electrically connected with the control processor to control the network access state of the data sniffer;
the upper part of the inner part of the body is provided with a first cavity, and a horizontally arranged bearing plate is fixedly connected below the inner part of the first cavity;
The lower part of the bearing plate is a second cavity positioned at the lower inner half part of the body;
the plurality of wired connection units are arranged in the first cavity;
The upper surface of the body is provided with a plurality of connecting holes corresponding to the plurality of wired connecting units in number, and each wired connecting unit in the plurality of wired connecting units comprises a connecting port;
the connecting ports are correspondingly arranged in the plurality of connecting holes and used for inserting connecting signal wires of corresponding models;
the body comprises a first side wall, a second side wall, a third side wall and a fourth side wall, wherein the first side wall and the second side wall are opposite in space position, and the third side wall and the fourth side wall are opposite in space position;
a connection switching key electrically connected with the connection switching unit is arranged on the surface of the first side wall so as to realize manual control of the network access state of the data sniffer;
the second side wall is provided with a camera which is internally provided with an image recognition algorithm;
The third side wall is provided with a microphone with a built-in voice recognition algorithm;
The fourth side wall is provided with a manipulator, and when the data sniffer recognizes the corresponding connection signal line through the camera, the manipulator is controlled to insert the connector of the connection signal line into the corresponding first connection hole in the plurality of connection holes; wherein,
The first intelligent terminal is used for generating a first data sniffing and collecting application and sending the first data sniffing and collecting application to the first server;
The first server is used for receiving the first data sniffing and collecting application, analyzing a first sniffing and collecting object from the first data sniffing and collecting application, and generating a first data sniffing and collecting standard; transmitting the first sniffing and collecting object and the first data sniffing and collecting standard to the second server;
the second server is configured to generate a first data sniffing model and a first data acquisition model according to the first sniffing and acquisition object and the first data sniffing and acquisition standard by using a deep learning algorithm and a neural network, and send the first data sniffing model and the first data acquisition model to the third server, where the first data sniffing model includes a data sniffing object, a data sniffing address, network connection point information accessed by data sniffing, a data sniffing data type or type, a data sniffing operation flow, and a data sniffing trigger condition, and the first data acquisition model includes a data acquisition object, a data acquisition address, network connection point information accessed by data acquisition, a data acquisition data type or type, a data quality standard, a data security standard, a data precision standard, a data acquisition operation flow, and a data acquisition trigger condition;
The third server is used for selecting a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sending the first data sniffer model and the first data acquisition model to the first data sniffer;
The first data sniffer is used for receiving the first data sniffer model and the first data acquisition model, connecting to a corresponding first network according to the first data sniffer model to sniff data to obtain a first sniffer result, and acquiring data according to the first sniffer result and the first data acquisition model to obtain first data; transmitting the first data to the third server;
The third server is used for classifying, numbering and encrypting the first data to obtain second data, and sending the second data to the second server;
The second server is used for analyzing the second data according to the first data sniffing and collecting standard to obtain a first data analysis result, and sending the first data analysis result to the first server;
The first server is used for sending corresponding data determined from the first data analysis result to the first intelligent terminal according to the data query requirement of the first intelligent terminal;
the step of receiving the first data sniffing model and the first data acquisition model, connecting to a corresponding first network according to the first data sniffing model to perform data sniffing to obtain a first sniffing result, and performing data acquisition according to the first sniffing result and the first data acquisition model to obtain first data comprises the following steps:
The first data sniffer determines the first network to which the object to be sniffed is connected according to the first data sniffer model, and acquires network attribute information of the first network;
Determining a best-matched network connection mode and a best-matched network connection point according to the network attribute information, and connecting to the first network according to the network connection mode and the network connection point to perform data sniffing to obtain a first sniffing result;
And the first data sniffer controls the corresponding camera module, the audio acquisition module and the network data acquisition module to acquire image data, audio data and network data respectively according to the first sniffing result and the first data acquisition model.
2. The artificial intelligence based credit data sniffing and collecting system according to claim 1, wherein the optical communication component comprises a first optical signaling unit, a first processor unit, a first modem unit, a first driving unit and a first amplifier unit;
The first processor unit, the first modem unit, the first driving unit and the first amplifier unit are arranged in the body;
The first optical signal receiving and transmitting unit is arranged on the upper surface of the body.
3. The credit data sniffing and collecting system based on artificial intelligence according to claim 2, wherein a vibration sensor and a temperature sensor are arranged on the mechanical foot for acquiring vibration data and temperature data of the position of the data sniffer, respectively.
4. The credit data sniffing and collecting method based on the artificial intelligence is characterized by being applied to a credit data sniffing and collecting system based on the artificial intelligence, wherein the credit data sniffing and collecting system based on the artificial intelligence comprises a first intelligent terminal for initiating a data sniffing and collecting application, a first server for initially processing the data sniffing and collecting application, a second server for judging the data qualification, a third server for safely processing the data and a plurality of data sniffing devices for sniffing and collecting the data; the data sniffer comprises a body, a network connection component, a control processor, a data acquisition unit, a positioning unit, an optical communication component, a mechanical foot, a power component and a transmission component; the network connection component, the control processor, the data acquisition unit, the positioning unit, the power component and the transmission component are all arranged in the body; the mechanical foot is arranged on the lower surface of the body to support the body and control the mechanical foot to move through the power assembly and the transmission assembly so as to realize the movement of the data sniffer; the control processor is deployed with a data sniffing model and a data acquisition model which are trained by utilizing a neural network; the network connection component comprises a plurality of wireless connection units, a plurality of wired connection units and a connection switching unit; the control processor is respectively and electrically connected with the wireless connection unit and the wired connection unit; the connection switching unit is electrically connected with the control processor to control the network access state of the data sniffer; the upper part of the inner part of the body is provided with a first cavity, and a horizontally arranged bearing plate is fixedly connected below the inner part of the first cavity; the lower part of the bearing plate is a second cavity positioned at the lower inner half part of the body; the plurality of wired connection units are arranged in the first cavity; the upper surface of the body is provided with a plurality of connecting holes corresponding to the plurality of wired connecting units in number, and each wired connecting unit in the plurality of wired connecting units comprises a connecting port; the connecting ports are correspondingly arranged in the plurality of connecting holes and used for inserting connecting signal wires of corresponding models; the body comprises a first side wall, a second side wall, a third side wall and a fourth side wall, wherein the first side wall and the second side wall are opposite in space position, and the third side wall and the fourth side wall are opposite in space position; a connection switching key electrically connected with the connection switching unit is arranged on the surface of the first side wall so as to realize manual control of the network access state of the data sniffer; the second side wall is provided with a camera which is internally provided with an image recognition algorithm; the third side wall is provided with a microphone with a built-in voice recognition algorithm; the fourth side wall is provided with a manipulator, and when the data sniffer recognizes the corresponding connection signal line through the camera, the manipulator is controlled to insert the connector of the connection signal line into the corresponding first connection hole in the plurality of connection holes; the credit data sniffing and collecting method based on artificial intelligence comprises the following steps:
the first intelligent terminal generates a first data sniffing and collecting application and sends the first data sniffing and collecting application to the first server;
The first server receives the first data sniffing and collecting application, analyzes a first sniffing and collecting object from the first data sniffing and collecting application, and generates a first data sniffing and collecting standard;
transmitting the first sniffing and collecting object and the first data sniffing and collecting standard to the second server;
The second server generates a first data sniffing model and a first data acquisition model by using a deep learning algorithm and a neural network according to the first sniffing and acquisition object and the first data sniffing and acquisition standard, and sends the first data sniffing model and the first data acquisition model to the third server, wherein the first data sniffing model comprises a data sniffing object, a data sniffing address, network connection point information accessed by data sniffing, a data sniffing data type or type, a data sniffing operation flow and a data sniffing trigger condition, and the first data acquisition model comprises a data acquisition object, a data acquisition address, network connection point information accessed by data acquisition, a data acquisition data type or type, a data quality standard, a data security standard, a data precision standard, a data acquisition operation flow and a data acquisition trigger condition;
The third server selects a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sends the first data sniffer model and the first data acquisition model to the first data sniffer;
the first data sniffer receives the first data sniffer model and the first data acquisition model, connects to a corresponding first network according to the first data sniffer model to sniff data to obtain a first sniffer result, and acquires data according to the first sniffer result and the first data acquisition model to obtain first data;
the first data sniffer sends the first data to the third server;
The third server classifies, numbers and encrypts the first data to obtain second data, and sends the second data to the second server;
the second server analyzes the second data according to the first data sniffing and collecting standard to obtain a first data analysis result, and sends the first data analysis result to the first server;
The first server sends corresponding data determined from the first data analysis result to the first intelligent terminal according to the data query requirement of the first intelligent terminal;
The first data sniffer receives the first data sniffer model and the first data acquisition model, connects to a corresponding first network according to the first data sniffer model to sniff data to obtain a first sniffer result, and performs data acquisition according to the first sniffer result and the first data acquisition model to obtain first data, and includes:
The first data sniffer determines the first network to which the object to be sniffed is connected according to the first data sniffer model, and acquires network attribute information of the first network;
Determining a best-matched network connection mode and a best-matched network connection point according to the network attribute information, and connecting to the first network according to the network connection mode and the network connection point to perform data sniffing to obtain a first sniffing result;
And the first data sniffer controls the corresponding camera module, the audio acquisition module and the network data acquisition module to acquire image data, audio data and network data respectively according to the first sniffing result and the first data acquisition model.
5. The artificial intelligence based credit data sniffing and collecting method according to claim 4, wherein the artificial intelligence based credit data sniffing and collecting system further comprises an intelligent light source terminal comprising a second optical signal receiving unit, a second processor unit, a second modem unit, a second driving unit and a second amplifier unit;
the third server selecting a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and sending the first data sniffer model and the first data acquisition model to the first data sniffer, comprising:
the third server selects a corresponding first data sniffer from a plurality of data sniffers according to the first sniffer and acquisition object, and determines a first intelligent light source terminal corresponding to the first data sniffer from a plurality of intelligent light source terminals;
the third server sends the first data sniffing model and the first data acquisition model to the first intelligent light source terminal;
The first intelligent light source terminal receives the first data sniffing model and the first data acquisition model, generates first coded data corresponding to the first data sniffing model and the first data acquisition model, and sends the first coded data to the second modem unit;
the second modem unit receives the first encoded data and converts it into a level modulated signal;
The second driving unit drives the second optical signal receiving and transmitting unit to output a first optical signal containing information under the control of the level modulation signal, wherein the light emitted by the second optical signal receiving and transmitting unit is visible light or invisible light, and the invisible light is infrared or ultraviolet;
the second amplifier unit amplifies an output signal of the second optical signal receiving and transmitting unit.
6. The artificial intelligence based credit data sniffing and collecting method according to claim 5, wherein the first data sniffer comprises a first optical signaling unit, a first processor unit, a first modem unit, a first driving unit and a first amplifier unit;
The first optical signal receiving and transmitting unit receives the first optical signal transmitted by the first intelligent light source terminal and converts the first optical signal into a first electric signal;
the first amplifier unit is used for amplifying the first electric signal output by the first optical signal receiving and transmitting unit;
the first modulation and demodulation unit restores the first electric signal into an original signal;
the first processor unit is used for receiving the original signal output by the first modem unit, controlling the data sniffer according to the original signal, and generating a first level modulation signal containing feedback information;
The first driving unit drives the first optical signal receiving and transmitting unit to transmit a signal containing the feedback information under the control of the first level modulation signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310583101.5A CN116614527B (en) | 2023-05-22 | 2023-05-22 | Credit data sniffing and collecting system and method based on artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310583101.5A CN116614527B (en) | 2023-05-22 | 2023-05-22 | Credit data sniffing and collecting system and method based on artificial intelligence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116614527A CN116614527A (en) | 2023-08-18 |
| CN116614527B true CN116614527B (en) | 2024-07-12 |
Family
ID=87679518
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310583101.5A Active CN116614527B (en) | 2023-05-22 | 2023-05-22 | Credit data sniffing and collecting system and method based on artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116614527B (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN216957390U (en) * | 2022-02-16 | 2022-07-12 | 深圳中盾联投智能电子有限公司 | Micropower sniffing equipment |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030051026A1 (en) * | 2001-01-19 | 2003-03-13 | Carter Ernst B. | Network surveillance and security system |
| US8848554B2 (en) * | 2011-03-07 | 2014-09-30 | Oracle International Corporation | Packet sniffing with packet filtering hooks |
| US20220224723A1 (en) * | 2015-10-28 | 2022-07-14 | Qomplx, Inc. | Ai-driven defensive cybersecurity strategy analysis and recommendation system |
| CN205902095U (en) * | 2016-03-28 | 2017-01-18 | 上海物联网有限公司 | Intelligent terminal smells spy device in real time based on wi -Fi |
| CN206074023U (en) * | 2016-09-30 | 2017-04-05 | 苏州颢裕智能科技有限公司 | A kind of new sniffer based on WIFI |
| US11615887B2 (en) * | 2020-06-12 | 2023-03-28 | Ambeent Inc. | Method and system for contact tracing using a software development kit (SDK) integrated into client devices |
| CN112816479A (en) * | 2021-01-22 | 2021-05-18 | 同方威视技术股份有限公司 | Sniffing device and method for testing same |
| US20230010406A1 (en) * | 2022-04-01 | 2023-01-12 | Kshitij Arun Doshi | Brokered network traffic monitoring and threat analysis |
| CN115208914A (en) * | 2022-06-23 | 2022-10-18 | 深圳市宇航智能信息技术有限公司 | Industrial data acquisition and analysis system and method |
-
2023
- 2023-05-22 CN CN202310583101.5A patent/CN116614527B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN216957390U (en) * | 2022-02-16 | 2022-07-12 | 深圳中盾联投智能电子有限公司 | Micropower sniffing equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116614527A (en) | 2023-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102752574B (en) | Video monitoring system and method | |
| CN101848373B (en) | Wireless video monitoring system and video monitoring method thereof | |
| CN108574515B (en) | Data sharing method, device and system based on intelligent sound box equipment | |
| CN101150788B (en) | Self modulation radio broadcast terminal system and its monitoring processor | |
| CN107743082A (en) | A kind of intelligent home equipment control method of identity-based identification | |
| CN105407111A (en) | Earphone recognition data processing method and system | |
| CN112448822A (en) | Cross-network awakening method and related equipment | |
| CN107742520B (en) | Voice control method, device and system | |
| CN111177536B (en) | Method and device for transmitting customized information to unregistered user based on device fingerprint and electronic device | |
| CN116614527B (en) | Credit data sniffing and collecting system and method based on artificial intelligence | |
| CN115547360A (en) | Early warning method and device, electronic equipment and storage medium | |
| US11032128B2 (en) | Using a local hub device as a substitute for an unavailable backend device | |
| CN114339737A (en) | Wireless communication instruction encryption method and related equipment | |
| CN114490053A (en) | Context awareness strategy recommendation system based on edge calculation and supervised learning method | |
| CN104284011A (en) | Information processing method and electronic device | |
| CN116827721A (en) | Edge computing gateway based on quantum security and application method | |
| CN117061165A (en) | Safety protection system based on space-time data lake technology of monitoring and control system | |
| CN113099283B (en) | Method for synchronizing monitoring picture and sound and related equipment | |
| CN109271645A (en) | A kind of multilingual translation machine based on holographic fan screen | |
| CN116644367A (en) | Abnormal object detection method, device and storage medium | |
| CN109903767B (en) | Voice processing method, device, equipment and system | |
| CN112667427A (en) | Network security system based on virtualization technology | |
| CN114093363A (en) | Voice recognition assembly, pluggable voice recognition device and electronic equipment | |
| CN112402797B (en) | Configuration updating method, device and system of defibrillator | |
| CN105194800A (en) | Auto signal based defibrillation maintenance system for realizing data management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |