CN106844794B - Radio supervision device and method based on data multidimensional characteristics - Google Patents
Radio supervision device and method based on data multidimensional characteristics Download PDFInfo
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Abstract
The embodiment of the invention provides a device and a method for radio supervision based on data multidimensional characteristics, wherein the device comprises the following components: spectrum sensing nodes, a data center and a terminal; the spectrum sensing node comprises a receiving antenna, an electromagnetic measuring module, a Fourier transform module, a signal analysis module, an environmental parameter measuring module and a data processing module; the data center is provided with an external data interface; the receiving antenna is connected with the electromagnetic measurement module; the environment parameter measurement module and the electromagnetic measurement module are connected with the Fourier transform module; the Fourier transform module and the signal analysis module are respectively connected with the data processing module; the data processing module is connected with the data center; the data center is connected with the terminal.
Description
Technical Field
The invention relates to the field of radio supervision, in particular to a device and a method for radio supervision based on data multidimensional characteristics.
Background
The core responsibility of the current radio management work is ' management resources, management stations, management order ', development of service economy and society, construction of service national defense, and service party administration ', and the important radio security assurance work is highlighted. Radio monitoring data is an important basis for measuring management work performance. The specific working content of radio monitoring mainly comprises the following aspects:
(1) Discovering an unlicensed radio transmission;
(2) Finding out radio emission which does not meet technical requirements;
(3) Providing a basis for radio spectrum planning and allocation;
(4) Evaluating the impact of overseas emissions on the intra-service;
these above works embody the fundamental feature of radio monitoring, namely the need for objective and detailed monitoring data. Although in long-term radio monitoring work, the radio monitoring department has accumulated a large amount of monitoring data, the current radio monitoring system is based on a communication system architecture rather than an information system architecture, conforms to RMTP (Real Time Messaging Protocol, real-time message transmission protocol) under the thinking of communication connection, does not realize real interconnection and intercommunication and data sharing among different types of radio monitoring devices, is a typical man-machine communication system, needs manual participation, and a monitoring station works according to set tasks, lacks data mining and advanced processing capability, does not have the capability of automatically finding and intelligently processing interference, and cannot automatically obtain spectrum data with continuous time, complete spectrum and complete elements.
Meanwhile, there are 42 kinds of radio services, each service has the characteristics of frequency domain, time domain, space domain, modulation domain and the like, and the characteristics are closely related to radio supervision, economy, society, national defense safety and the like, traditional radio monitoring mainly focuses on frequency scanning measurement and radio interference direction finding and positioning, the multidimensional characteristics of radio monitoring data are not displayed, and the value of radio spectrum is not fully revealed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a device and a method for radio supervision based on data multidimensional characteristics, which are used for overcoming the defects in the prior art.
Specifically, the present invention proposes the following specific embodiments:
the embodiment of the invention provides a device for radio supervision based on data multidimensional characteristics, which comprises: spectrum sensing nodes, a data center and a terminal; the spectrum sensing node comprises a receiving antenna, an electromagnetic measuring module, a Fourier transform module, a signal analysis module, an environmental parameter measuring module and a data processing module; the data center is provided with an external data interface;
the receiving antenna is connected with the electromagnetic measurement module;
the electromagnetic measurement module is connected with the Fourier transform module;
the environment parameter measurement module is connected with the data processing module;
the Fourier transform module and the signal analysis module are respectively connected with the data processing module;
the data processing module is connected with the data center;
the data center is connected with the terminal.
In a specific embodiment, the environmental parameter measurement module includes: a temperature sensor.
In a specific embodiment, the environmental parameter measurement module includes: a humidity sensor.
In a specific embodiment, the environmental parameter measurement module includes: and a positioning device.
In a specific embodiment, the positioning device is in particular a GPS positioning device.
The embodiment of the invention also provides a method for radio supervision based on the data multidimensional feature, which is applied to the device for radio supervision based on the data multidimensional feature, and comprises the following steps:
measuring through the receiving antenna, the electromagnetic measuring module and the signal analyzing module, obtaining electromagnetic environment data, and sending the electromagnetic environment data to a Fourier transform module;
acquiring non-electromagnetic parameter data through the environment parameter measurement module, and sending the non-electromagnetic parameter data to the data processing module;
processing the acquired electromagnetic environment data through the Fourier transform module; obtaining electromagnetic spectrum data and sending the electromagnetic spectrum data to the data processing module;
correlating the electromagnetic spectrum data and the non-electromagnetic parameter data based on the same geographic position through the data processing module, generating correlation data and sending the correlation data to the data center;
and acquiring external data from an external data interface through the data center, fusing and visualizing the external data and the associated data, generating visualized data and sending the visualized data to the terminal.
In a specific embodiment, the circumscribed data includes GDP, demographic data, and social event information, radio security time, and geographic location.
In a specific embodiment, the method further comprises: importing national radio frequency division data into a frequency division table of a self database through the data center; and importing existing radio service data into a service database, wherein the radio service data comprises a correspondence of authorized radio services and frequencies.
In a specific embodiment, the method further comprises: carrying out service division, occupancy analysis and display on electromagnetic spectrum data through the data center; and calibrating the known service according to the database of the service.
In a specific embodiment, the method further comprises: when the unknown service is identified through the data center, the transmitting time, position and frequency information of the radio corresponding to the unknown service are stored in an abnormal transmitting table in a database, and an abnormal notification is generated and sent to a terminal;
when the radio of the unknown service is identified through a signal analysis module, if the identification result is legal, the data of the radio of the unknown service is newly added to the service database, and meanwhile, the data of the radio of the unknown service in the sending table is deleted; and if the identification result is illegal, marking the service type and the modulation mode of the unknown service.
Accordingly, an embodiment of the present invention provides an apparatus and a method for radio supervision based on data multidimensional features, where the apparatus includes: spectrum sensing nodes, a data center and a terminal; the spectrum sensing node comprises a receiving antenna, an electromagnetic measuring module, a Fourier transform module, a signal analysis module, an environmental parameter measuring module and a data processing module; the data center is provided with an external data interface; the receiving antenna is connected with the electromagnetic measurement module; the environment parameter measurement module and the electromagnetic measurement module are connected with the Fourier transform module; the Fourier transform module and the signal analysis module are respectively connected with the data processing module; the data processing module is connected with the data center; the data center is connected with the terminal.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a device for radio supervision based on data multidimensional features according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for radio supervision based on data multidimensional features according to an embodiment of the present invention;
fig. 3 is a flow chart of a method for radio supervision based on data multidimensional features according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a fm broadcast band radio spectrum according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a radio spectrum in a television band according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a GSM900 band radio spectrum according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a GSM1800 radio spectrum according to an embodiment of the present invention;
fig. 8 is a schematic diagram illustrating measurement and display of an fm broadcast band interference signal according to an embodiment of the present invention;
fig. 9 is a schematic diagram of statistics of interference frequency according to an embodiment of the present invention;
fig. 10 is a schematic diagram illustrating a relationship between GDP and the number of base stations according to an embodiment of the present invention;
fig. 11 is a schematic diagram of a temperature change curve according to an embodiment of the present invention.
Description of the drawings
Spectrum sensing node-1, receiving antenna-11, electromagnetic measuring module-12,
A Fourier transform module-13, a signal analysis module-14, an environmental parameter measurement module-15,
A data processing module-16,
A data center-2, an external data interface-21,
Terminal-3
Detailed Description
Hereinafter, various embodiments of the present disclosure will be more fully described. The present disclosure is capable of various embodiments and of modifications and variations therein. However, it should be understood that: there is no intention to limit the various embodiments of the disclosure to the specific embodiments disclosed herein, but rather the disclosure is to be interpreted to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of the various embodiments of the disclosure.
Hereinafter, the terms "comprises" or "comprising" as may be used in various embodiments of the present disclosure indicate the presence of the disclosed functions, operations or elements, and are not limiting of the addition of one or more functions, operations or elements. Furthermore, as used in various embodiments of the present disclosure, the terms "comprises," "comprising," and their cognate terms are intended to refer to a particular feature, number, step, operation, element, component, or combination of the foregoing, and should not be interpreted as first excluding the existence of or increasing likelihood of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
In various embodiments of the present disclosure, the expression "or" at least one of a or/and B "includes any or all combinations of the words listed simultaneously. For example, the expression "a or B" or "at least one of a or/and B" may include a, may include B or may include both a and B.
Expressions (such as "first", "second", etc.) used in the various embodiments of the present disclosure may modify various constituent elements in the various embodiments, but the respective constituent elements may not be limited. For example, the above description does not limit the order and/or importance of the elements. The above description is only intended to distinguish one element from another element. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of various embodiments of the present disclosure.
It should be noted that: if it is described to "connect" one component element to another component element, a first component element may be directly connected to a second component element, and a third component element may be "connected" between the first and second component elements. Conversely, when one constituent element is "directly connected" to another constituent element, it is understood that there is no third constituent element between the first constituent element and the second constituent element.
The term "user" as used in various embodiments of the present disclosure may indicate a person using an electronic device or a device using an electronic device (e.g., an artificial intelligence electronic device).
The terminology used in the various embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the disclosure. As used herein, the singular is intended to include the plural as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of this disclosure belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having a meaning that is the same as the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in the various embodiments of the disclosure.
Example 1
The embodiment 1 of the invention discloses a device for radio supervision based on data multidimensional characteristics, which is shown in fig. 1 and comprises: spectrum sensing node 1, data center 2 and terminal 3; the spectrum sensing node 1 comprises a receiving antenna 11, an electromagnetic measuring module 12, a Fourier transform module 13, a signal analysis module 14, an environmental parameter measuring module 15 and a data processing module 16; the data center 2 is provided with an external data interface 21;
the receiving antenna 11 is connected with the electromagnetic measuring module 12;
the electromagnetic measurement module 12 is connected with the Fourier transform module 13;
the environmental parameter measuring module 15 is connected with the data processing module 16;
the fourier transform module 13 and the signal analysis module 14 are respectively connected with the data processing module 16;
the data processing module 16 is connected with the data center 2;
the data center 2 is connected to the terminal 3.
In a specific embodiment, the environmental parameter measurement module includes: a temperature sensor.
Specifically, the temperature sensor detects the temperature of the environment to obtain temperature data. The specific temperature sensor can be divided into two main types of contact type and non-contact type according to the measurement mode, and can be divided into two types of thermal resistors and thermocouples according to the characteristics of sensor materials and electronic elements. The detecting part of the contact temperature sensor is in good contact with the detected object, which is also called a thermometer. The non-contact temperature sensor for non-contact temperature measurement has the following advantages: the upper measurement limit is not limited by the temperature resistance of the temperature sensing element, so that the highest measurable temperature is not limited in principle. For high temperature above 1800 ℃, a non-contact temperature measurement method is mainly adopted. With the development of infrared technology, radiation temperature measurement is gradually expanded from visible light to infrared, and the temperature is below 700 ℃ to normal temperature, and the resolution is very high.
In a specific embodiment, the environmental parameter measurement module includes: a humidity sensor.
Specifically, humidity in the environment can be detected by the humidity sensor so as to obtain humidity data.
Specifically, the temperature sensor and the humidity sensor can be integrated together to form a temperature and humidity sensor, so that the temperature and humidity can be detected by the sensor at the same time, and temperature data and humidity data can be obtained.
In a specific embodiment, the environmental parameter measurement module includes: and a positioning device.
Specifically, the positioning device is used for positioning the position to acquire positioned position information; in a specific embodiment, the positioning device is in particular a GPS positioning device.
Accordingly, an embodiment of the present invention provides an apparatus and a method for radio supervision based on data multidimensional features, where the apparatus includes: spectrum sensing nodes, a data center and a terminal; the spectrum sensing node comprises a receiving antenna, an electromagnetic measuring module, a Fourier transform module, a signal analysis module, an environmental parameter measuring module and a data processing module; the data center is provided with an external data interface; the receiving antenna is connected with the electromagnetic measurement module; the environment parameter measurement module and the electromagnetic measurement module are connected with the Fourier transform module; the Fourier transform module and the signal analysis module are respectively connected with the data processing module; the data processing module is connected with the data center; the data center is connected with the terminal. By the device, the use condition of radio service in each frequency band is visualized in the data center; visualization of radio spectrum usage versus radio regulatory law enforcement effects; socioeconomic performance data is associated with radio spectrum usage data and visualized; and visualizing the working condition data of the spectrum sensing node.
Example 2
The embodiment 2 of the present invention also proposes a method for radio supervision based on data multidimensional features, which is applied to the device for radio supervision based on data multidimensional features described in the embodiment 1, as shown in fig. 2 and fig. 3, and the method includes:
step 101, measuring through the receiving antenna, the electromagnetic measuring module and the signal analyzing module, obtaining electromagnetic environment data, and sending the electromagnetic environment data to a Fourier transform module;
specifically, the receiving antenna and the electromagnetic measurement module measure electromagnetic environment IQ data, and the electromagnetic environment IQ data is processed by the FFT module to obtain electromagnetic spectrum data;
102, acquiring non-electromagnetic parameter data through the environment parameter measurement module, and sending the non-electromagnetic parameter data to the data processing module;
the environment parameter measurement module is used for measuring non-electromagnetic parameter data of non-electromagnetic environments such as temperature, humidity, geographic position and the like.
Step 103, processing the acquired electromagnetic environment data through the Fourier transform module; obtaining electromagnetic spectrum data and sending the electromagnetic spectrum data to the data processing module;
the data processing module carries out association fusion on electromagnetic spectrum data and data such as temperature, humidity, geographic position and the like and then transmits the data to the data center.
Step 104, the electromagnetic spectrum data and the non-electromagnetic parameter data are associated based on the same geographic position through the data processing module, and associated data are generated and sent to the data center;
specifically, electromagnetic spectrum data, geographic position, temperature and other data measured at the same position are correlated to generate correlated data.
And 105, obtaining external data from an external data interface through the data center, fusing and visualizing the external data and the associated data, generating visualized data and sending the visualized data to the terminal.
Structured data, such as a two-dimensional list, or unstructured data, such as JSON documents, may be entered via an external data interface.
The data center receives electromagnetic spectrum data, temperature, humidity, geographic position and other data from the data processing module, and fuses and processes the electromagnetic spectrum data, the temperature, the humidity, the geographic position and other data with a social media data statistical table (acquired through an external data interface). In addition, the data center performs the following operations:
1. carrying out service division, occupancy analysis and display on electromagnetic spectrum data according to a national frequency division table;
2. calibrating known services according to a service database;
3. if the unknown signal is found, storing the transmitting time, the transmitting position and the transmitting frequency into a database abnormal transmitting table, and informing an administrator of the unknown signal; the manager remote start signal analysis module identifies unknown emission signals, if the unknown emission signals are authorized service signals, the unknown emission signals are newly added to the service database, and data in the abnormal emission table are deleted; if the service is unauthorized service, the modulation type and the signal characteristics are marked.
4. And (3) displaying visual analysis results of the relation between the use condition (unauthorized transmission quantity, distribution, duration and the like) of the radio service in each frequency band and the development of radio security assurance and law enforcement work.
5. Social economic development (GDP) and population number and time, space and distribution visual result display of the occupation degree of each radio frequency band.
6. And displaying the relation between the running time of the sensing node and the temperature and humidity in real time, and carrying out early warning when the temperature and the humidity are larger than normal running values which can be born by the equipment.
7. And displaying the relation between the running time of the sensing node and the data return state in real time, and carrying out fault warning if no data is returned beyond the normal waiting time.
8. And an electromagnetic measuring module and a signal analyzing module of the spectrum sensing node are started to measure the IQ data of the electromagnetic environment, and the service types of various signals in the whole monitoring frequency range are sequentially analyzed through manual assistance, and are checked with the existing service database to supplement and perfect the service database.
Thus, presentation of data by a data center includes, but is not limited to, four aspects: firstly, the use condition of radio services in each frequency band is visualized; secondly, visualization of the relationship between the use of the radio spectrum and the radio supervision law enforcement; thirdly, associating and visualizing socioeconomic development data and radio spectrum use data; and fourthly, visualizing the working condition data of the spectrum sensing node.
In a specific embodiment, the circumscribed data includes GDP, demographic data, and social event information, radio security time, and geographic location.
Specifically, the social event information includes: such as college entrance examination, study entrance examination, large meetings, information on marathon events, etc.; and related to radio security are, for example: examination guarantee, marathon radio guarantee, black broadcast check-out, border frequency coordination negotiation and the like.
In a specific embodiment, the method further comprises: importing national radio frequency division data into a frequency division table of a self database through the data center; and importing existing radio service data into a service database, wherein the radio service data comprises a correspondence of authorized radio services and frequencies.
Among which licensed radio services include services such as fm radio, aviation radio navigation, radio astronomy, etc.
In a specific embodiment, the method further comprises: carrying out service division, occupancy analysis and display on electromagnetic spectrum data through the data center; and calibrating the known service according to the database of the service.
In a specific embodiment, the method further comprises: when the unknown service is identified through the data center, the transmitting time, position and frequency information of the radio corresponding to the unknown service are stored in an abnormal transmitting table in a database, and an abnormal notification is generated and sent to a terminal;
when the radio of the unknown service is identified through a signal analysis module, if the identification result is legal, the data of the radio of the unknown service is newly added to the service database, and meanwhile, the data of the radio of the unknown service in the sending table is deleted; and if the identification result is illegal, marking the service type and the modulation mode of the unknown service.
Specifically, if the unknown service is found, the transmitting time, position and frequency of the radio of the unknown service are stored in a database abnormal transmitting table, and an administrator is informed of the occurrence of the unknown service; the manager remotely starts a signal analysis module to identify unknown emission, if the unknown emission is legal service, the unknown emission is newly added into a service database, and data in an abnormal database is deleted; if the service is illegal, marking the service type and the modulation mode.
In a specific embodiment, a pair of 20MHz-3000MHz omnidirectional antennas are adopted as receiving antennas, and the receiving antennas, an electromagnetic measurement module, a Fourier transform (FFT) module, a signal analysis module, a temperature and humidity sensor and a GPS module are integrated to form a spectrum sensing node; each of Mongolian city and Hekou county in red river is provided with a spectrum sensing node which is connected with a server; the radio frequency division data and the radio service data are imported into a database at a server side, and social media data mainly including cities, years and GDPs are input. The server side performs fusion processing on the spectrum data from the sensing node and the input social media data, and the result is shown in fig. 3-5.
The entire radio monitoring band is business-divided according to the regulations of radio frequency division in the people's republic of China (release 2014), and fig. 4 to 7 are radio spectrums in the frequency-modulated broadcast band, television band, GSM900 and GSM1800 bands, respectively. The method and the device realize the automatic monitoring, statistics and display of abnormal radio emission of the frequency-modulated broadcast frequency band.
FIG. 8 is a diagram showing the measurement and display of interference signals of corresponding FM broadcast frequency bands, if abnormal emission signals occur, the reference signs of corresponding nodes in a map are converted, and the spectrogram shows the abnormal signals through a designated curve; after the interference check, the alarm in the graph will disappear;
fig. 9 corresponds to the statistics of the number of interference times, and a visual result of the relation between the radio application and the GDP is obtained according to the number of mobile, communication and telecommunication base stations and the GDP data of each state of the Yunnan province. Taking the 3G base station data of the 3G base stations of the states of the Yunnan provinces of 2009-2014 as an example, the relationship between the GDP and the number of base stations in Kunming city and red river state is counted, and as shown in fig. 10, it can be seen that the GDP and the number of base stations are positively correlated, that is, the more base stations are required if the GDP increases. In addition, the temperature information of the sensing node is transmitted to a data center for display, and is prompted when the temperature is higher than the highest working temperature of the equipment, and FIG. 11 is a measured estuary and Mongolian temperature change curve.
Accordingly, an embodiment of the present invention provides an apparatus and a method for radio supervision based on data multidimensional features, where the apparatus includes: spectrum sensing nodes, a data center and a terminal; the spectrum sensing node comprises a receiving antenna, an electromagnetic measuring module, a Fourier transform module, a signal analysis module, an environmental parameter measuring module and a data processing module; the data center is provided with an external data interface; the receiving antenna is connected with the electromagnetic measurement module; the environment parameter measurement module and the electromagnetic measurement module are connected with the Fourier transform module; the Fourier transform module and the signal analysis module are respectively connected with the data processing module; the data processing module is connected with the data center; the data center is connected with the terminal. Thus, the visualization of the service conditions of radio services in each frequency band is realized in the data center; visualization of radio spectrum usage versus radio regulatory law enforcement effects; socioeconomic performance data is associated with radio spectrum usage data and visualized; and visualizing the working condition data of the spectrum sensing node.
Those skilled in the art will appreciate that the drawing is merely a schematic illustration of a preferred implementation scenario and that the modules or flows in the drawing are not necessarily required to practice the invention.
Those skilled in the art will appreciate that modules in an apparatus in an implementation scenario may be distributed in an apparatus in an implementation scenario according to an implementation scenario description, or that corresponding changes may be located in one or more apparatuses different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above-mentioned inventive sequence numbers are merely for description and do not represent advantages or disadvantages of the implementation scenario.
The foregoing disclosure is merely illustrative of some embodiments of the invention, and the invention is not limited thereto, as modifications may be made by those skilled in the art without departing from the scope of the invention.
Claims (7)
1. An apparatus for radio supervision based on data multidimensional features, comprising: spectrum sensing nodes, a data center and a terminal; the spectrum sensing node comprises a receiving antenna, an electromagnetic measuring module, a Fourier transform module, a signal analysis module, an environmental parameter measuring module and a data processing module; the data center is provided with an external data interface; the receiving antenna is connected with the electromagnetic measurement module; the electromagnetic measurement module is connected with the Fourier transform module; the environment parameter measurement module is connected with the data processing module; the Fourier transform module and the signal analysis module are respectively connected with the data processing module; the data processing module is connected with the data center; the data center is connected with the terminal;
the receiving antenna, the electromagnetic measuring module and the signal analyzing module are used for measuring, acquiring electromagnetic environment data and sending the electromagnetic environment data to the Fourier transform module;
the environment parameter measurement module is used for acquiring non-electromagnetic parameter data and sending the non-electromagnetic parameter data to the data processing module;
the Fourier transform module is used for processing the acquired electromagnetic environment data; obtaining electromagnetic spectrum data and sending the electromagnetic spectrum data to the data processing module;
the data processing module is used for correlating the electromagnetic spectrum data and the non-electromagnetic parameter data based on the same geographic position, generating correlation data and sending the correlation data to the data center;
the data center is used for acquiring external data from the external data interface, fusing and visualizing the external data and the associated data, generating visualized data and sending the visualized data to the terminal; and importing the national radio frequency division data into a frequency division table of a database of the device; and importing existing radio service data into a service database, wherein the radio service data comprises a correspondence of authorized radio services and frequencies; carrying out service division on electromagnetic spectrum data, and analyzing and displaying occupancy level; calibrating the known service according to the database of the service; when an unknown service is identified, storing the transmitting time, position and frequency information of the radio corresponding to the unknown service into an abnormal transmitting table in a database, and generating an abnormal notification and transmitting the abnormal notification to the terminal;
the signal analysis module is further used for identifying the radio of the unknown service, if the identification result is legal, adding the data of the radio of the unknown service to the service database, and deleting the data of the radio of the unknown service in the abnormal sending table; and if the identification result is illegal, marking the service type and the modulation mode of the unknown service.
2. The apparatus of claim 1, wherein the environmental parameter measurement module comprises: a temperature sensor.
3. The apparatus of claim 1, wherein the environmental parameter measurement module comprises: a humidity sensor.
4. The apparatus of claim 1, wherein the environmental parameter measurement module comprises: and a positioning device.
5. The device according to claim 4, wherein the positioning device is in particular a GPS positioning device.
6. A method of radio supervision based on data multidimensional features, applied to the apparatus of any one of claims 1 to 5, the method comprising:
measuring through the receiving antenna, the electromagnetic measuring module and the signal analyzing module, obtaining electromagnetic environment data, and sending the electromagnetic environment data to a Fourier transform module;
acquiring non-electromagnetic parameter data through the environment parameter measurement module, and sending the non-electromagnetic parameter data to the data processing module;
processing the acquired electromagnetic environment data through the Fourier transform module; obtaining electromagnetic spectrum data and sending the electromagnetic spectrum data to the data processing module;
correlating the electromagnetic spectrum data and the non-electromagnetic parameter data based on the same geographic position through the data processing module, generating correlation data and sending the correlation data to the data center;
acquiring external data from an external data interface through the data center, fusing and visualizing the external data and the associated data, generating visualized data and sending the visualized data to a terminal;
importing national radio frequency division data into a frequency division table of a self database through the data center; and importing existing radio service data into a service database, wherein the radio service data comprises a correspondence of authorized radio services and frequencies;
carrying out service division, occupancy analysis and display on electromagnetic spectrum data through the data center; calibrating the known service according to the database of the service;
when the unknown service is identified through the data center, the transmitting time, position and frequency information of the radio corresponding to the unknown service are stored in an abnormal transmitting table in a database, and an abnormal notification is generated and sent to the terminal;
when the radio of the unknown service is identified through a signal analysis module, if the identification result is legal, the data of the radio of the unknown service is newly added to the service database, and meanwhile, the data of the radio of the unknown service in the abnormal sending table is deleted; and if the identification result is illegal, marking the service type and the modulation mode of the unknown service.
7. The method of claim 6, wherein the circumscribed data comprises GDP, demographic data, and social event information, radio security time, and geographic location.
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| US20200400730A1 (en) * | 2018-03-06 | 2020-12-24 | Xi'an Daheng Tiancheng It Co., Ltd. | Frequency spectrum monitoring data structured representation method, and data processing method and compression method |
| CN108469560B (en) * | 2018-03-16 | 2020-01-14 | 武汉大学 | Electromagnetic interference objective complexity evaluation method based on rapid S-transform time-frequency space model |
| CN109756367A (en) * | 2018-12-24 | 2019-05-14 | 云南大学 | A kind of radio monitoring system and method based on edge calculations |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006170758A (en) * | 2004-12-15 | 2006-06-29 | Yokohama Rubber Co Ltd:The | Remote monitoring method and remote monitoring system of electromagnetic environment |
| CN103105539A (en) * | 2013-01-08 | 2013-05-15 | 深圳市环境监测中心站 | System and method of monitoring electromagnetic radiation |
| CN103323054A (en) * | 2013-06-20 | 2013-09-25 | 苏州大学 | Environmental monitoring system based on satellite positioning and electronic map |
| CN106251080A (en) * | 2016-08-05 | 2016-12-21 | 成都酉辰科技有限公司 | Border electromagnetic environment monitor platform feelings management system |
| CN106301621A (en) * | 2016-08-31 | 2017-01-04 | 成都九华圆通科技发展有限公司 | A kind of method using K line chart to find wireless station and analysis air interference |
| CN106353603A (en) * | 2016-08-31 | 2017-01-25 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring method for radio |
| CN106375027A (en) * | 2016-08-31 | 2017-02-01 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring system and method for radio |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10338191B2 (en) * | 2014-10-30 | 2019-07-02 | Bastille Networks, Inc. | Sensor mesh and signal transmission architectures for electromagnetic signature analysis |
-
2017
- 2017-04-12 CN CN201710235933.2A patent/CN106844794B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006170758A (en) * | 2004-12-15 | 2006-06-29 | Yokohama Rubber Co Ltd:The | Remote monitoring method and remote monitoring system of electromagnetic environment |
| CN103105539A (en) * | 2013-01-08 | 2013-05-15 | 深圳市环境监测中心站 | System and method of monitoring electromagnetic radiation |
| CN103323054A (en) * | 2013-06-20 | 2013-09-25 | 苏州大学 | Environmental monitoring system based on satellite positioning and electronic map |
| CN106251080A (en) * | 2016-08-05 | 2016-12-21 | 成都酉辰科技有限公司 | Border electromagnetic environment monitor platform feelings management system |
| CN106301621A (en) * | 2016-08-31 | 2017-01-04 | 成都九华圆通科技发展有限公司 | A kind of method using K line chart to find wireless station and analysis air interference |
| CN106353603A (en) * | 2016-08-31 | 2017-01-25 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring method for radio |
| CN106375027A (en) * | 2016-08-31 | 2017-02-01 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring system and method for radio |
Non-Patent Citations (2)
| Title |
|---|
| Zhang Jianwu等."The IEEE802.22 WRAN System Based on Radio Environment Map（REM）".《IEEE》.2009,全文. * |
| 王岭."WRAN中无线电环境地图的生成技术研究".《CNKI》.2012,全文. * |
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