A real-time monitoring system and method for radio interference based on AI algorithm

Abstract

The present invention relates to the field of radio monitoring, specifically a real-time monitoring system and method for radio interference based on an AI algorithm; the method comprises the following steps: obtaining historical radio signal data and communication areas of radio equipment, and constructing a wireless communication model; according to the wireless communication model, real-time monitoring and analysis of radio signals are performed, monitoring events and monitoring nodes are obtained, radio signals are analyzed through monitoring events and monitoring nodes, and interference risk and dynamic signal disturbance graphs are obtained; according to monitoring nodes and dynamic signal disturbance graphs, disturbance nodes and disturbance areas are obtained, and according to disturbance nodes, disturbance areas and dynamic signal disturbance graphs, disturbance events and disturbance change values ​​are obtained; according to disturbance change values, disturbance events and dynamic signal disturbance graphs, radio interference is protected and a protection strategy is generated. The present invention can increase the communication stability between radio equipment.

Description

Technical Field

[0001] The present invention relates to the field of radio monitoring, and in particular to a system and method for real-time monitoring of radio interference based on an AI algorithm. Background Art

[0002] With the rapid development of wireless communication technology, artificial intelligence (AI) technology has made significant progress in signal processing, pattern recognition and data analysis. Applying AI technology to radio interference monitoring can realize radio interference monitoring and management.

[0003] The signal waveform of the radio signals generated between radio devices is important data reflecting the interference situation. In addition, for fixed radio devices (such as base stations), there are dynamically changing interference sources (such as mobile devices, vehicles, etc.) that interfere with the radio devices. In the existing technology, it is often impossible to monitor and accurately analyze the radio interference between radio devices in real time. In addition, the radio equipment cannot be optimized and managed in time for the dynamically changing interference sources. This is a problem we need to solve. Summary of the invention

[0004] The purpose of the present invention is to propose a real-time monitoring method for radio interference based on AI algorithm in response to the problems existing in the background technology.

[0005] The technical solution of the present invention is a real-time monitoring method for radio interference based on AI algorithm, comprising the following steps:

[0006] S1. Acquire historical radio signal data and communication areas of radio equipment, construct transmission links between radio equipment according to the historical radio signal data, and construct a wireless communication model through the radio equipment, communication areas and transmission links;

[0007] S2. According to the wireless communication model, the radio signal is monitored and analyzed in real time to obtain monitoring events and monitoring nodes. The radio signal is analyzed through the monitoring events and monitoring nodes to obtain the disturbance risk degree, and a dynamic signal disturbance graph is obtained according to the disturbance risk degree and the wireless communication model;

[0008] S3. Obtain disturbance nodes and disturbance areas according to monitoring nodes and dynamic signal disturbance graphs, and obtain disturbance events and disturbance change values ​​according to disturbance nodes, disturbance areas and dynamic signal disturbance graphs;

[0009] S4. Protect against radio interference and generate a protection strategy based on disturbance change values, disturbance events, and dynamic signal disturbance graphs.

[0010] Preferably, the process of acquiring historical radio signal data and communication areas of radio equipment, constructing transmission links between radio equipment according to the historical radio signal data, and constructing a wireless communication model through the radio equipment, the communication area and the transmission link includes:

[0011] The historical radio signal data includes the historical transmission electric signal data and the historical reception electric signal data; the historical transmission electric signal data includes the historical transmission electric signal, the historical transmission direction and the historical transmission time; the historical reception electric signal data includes the historical reception electric signal, the historical reception direction and the historical reception time;

[0012] Analyze the historical transmission direction and the historical reception direction, and set the transmission node through the transmission process of the radio signal, and build the transmission link between the radio devices through several transmission nodes between the radio devices;

[0013] A wireless communication physical model is constructed through radio equipment and communication areas, and a wireless communication model is obtained through transmission links, wireless communication physical models, historical transmitted electrical signals, historical received electrical signals and radio equipment.

[0014] Preferably, according to the wireless communication model, the process of real-time monitoring and analyzing the radio signal and obtaining the monitoring event and the monitoring node includes:

[0015] Through the wireless communication model, the radio signal is monitored in real time to obtain real-time radio signal data; the real-time radio signal data includes real-time transmission electric signal data and real-time reception electric signal data;

[0016] Analyze real-time radio signal data through AI algorithms to obtain real electric signals and real received electric signals;

[0017] Set a transceiver comparison window; obtain the actual power generation segment, actual power reception segment and transceiver cycle code corresponding to the transmission node according to the transmission node, the actual power generation signal and the actual power reception signal; obtain the abnormal segment, the transceiver time and transceiver cycle code corresponding to the abnormal segment through the transceiver comparison window, obtain the monitoring node through the abnormal segment and its corresponding transmission node, and obtain the monitoring event according to the transceiver time and transceiver cycle code corresponding to the abnormal segment.

[0018] Preferably, the process of analyzing the radio signal by monitoring events and monitoring nodes to obtain the disturbance risk degree, and obtaining the dynamic signal disturbance graph according to the disturbance risk degree and the wireless communication model is as follows:

[0019] Obtain the abnormal reception cycle code and the abnormal transmission cycle code by monitoring nodes, monitoring events, radio signals and abnormal fragments;

[0020] The disturbance risk is obtained by monitoring events, monitoring nodes, and the codes of different receiving cycles and different transmitting cycles. ;

[0021] ;

[0022] Wherein, a is the total number of monitoring nodes of the transmission link between radio devices; A is the total number of transmission nodes of the transmission link between radio devices; Indicates the difference between the abnormal receiving cycle code (or abnormal transmitting cycle code) of the abnormal segment corresponding to the a-th monitoring node and the first monitoring node; The difference between the abnormal receiving cycle code (or abnormal transmitting cycle code) of the abnormal segment corresponding to the i-th monitoring node and the i-1-th monitoring node;

[0023] According to the different receiving cycle coding and the different sending cycle coding, the difference receiving code amount and the difference sending code amount are obtained, and the difference receiving code amount and the difference sending code amount are analyzed to obtain the interference risk degree D and the interference risk degree and disturbance risk ;

[0024] According to the radio equipment in the wireless communication model, the device node is obtained and the interference risk threshold interval is set;

[0025] The disturbance risk degree is analyzed through the disturbance risk degree threshold interval to obtain communication area I, communication area II and communication area III, and communication area I, communication area II and communication area III are recorded as communication area marks; a dynamic signal disturbance graph is constructed through device nodes, disturbance risk degrees, transmission links and communication area marks.

[0026] Preferably, the process of obtaining disturbance nodes and disturbance areas according to the monitoring nodes and the dynamic signal disturbance graph includes:

[0027] By marking the corresponding position of the monitoring node in the transmission link of the dynamic signal disturbance graph, when the communication area where the monitoring node is located is communication area II or communication area III, the monitoring node is recorded as a disturbance node, and the communication area where the monitoring node is located is recorded as a disturbance area.

[0028] Preferably, the process of obtaining disturbance events and disturbance change values ​​according to disturbance nodes, disturbance regions and dynamic signal disturbance graphs includes:

[0029] The disturbance risk of the transmission link corresponding to the disturbance node is obtained through the dynamic signal disturbance graph, and the disturbance event is obtained according to the disturbance node, the disturbance risk corresponding to the disturbance node and the disturbance area corresponding to the disturbance node;

[0030] Through the disturbance event, the disturbance change value L is obtained;

[0031] ;

[0032] Where h is the propagation speed of electromagnetic waves; S( ) is the receiving electrical signal function; F( ) is the transmission electrical signal function; when the difference in the received code quantity of the different receiving cycle coding is completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, ; When the difference in the received code quantity of the different receiving cycle coding is not completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, ; g is the total number of disturbance nodes in the disturbance area; G is the total number of transmission nodes in the disturbance area.

[0033] Preferably, the process of protecting against radio interference and generating a protection strategy according to the disturbance change value, the disturbance event and the dynamic signal disturbance graph includes:

[0034] Obtain the diameter of the disturbance area in the dynamic signal disturbance map, recorded as the disturbance diameter, and obtain the main disturbance area and the side disturbance area according to the disturbance event and the dynamic signal disturbance map; obtain the disturbance spacing value of the side disturbance area according to the disturbance diameters of the side disturbance area and the main disturbance area, analyze the disturbance spacing value and the disturbance change value, and obtain the dynamic disturbance area;

[0035] Through deep learning of the disturbance change value and disturbance risk corresponding to the historical radio signal data of the transmission link where the disturbance node is located, and analyzing the disturbance change value and disturbance risk corresponding to the real-time radio signal data of the transmission link where the disturbance node is located, the impact history of the interference source is obtained, and the impact history of the interference source is predicted to obtain the predicted interference history, which is sent to relevant protection personnel to protect the radio equipment and generate a protection strategy.

[0036] The present invention also discloses a real-time monitoring system for radio interference based on an AI algorithm, including a management center, wherein the management center is communicatively connected to a data acquisition module, a data analysis module, a data processing module, and a data optimization module:

[0037] The data acquisition module is used to obtain the historical radio signal data and communication area of ​​the radio equipment, build the transmission link between the radio equipment according to the historical radio signal data, and build the wireless communication model through the radio equipment, the communication area and the transmission link;

[0038] The data analysis module is used to monitor and analyze the radio signals in real time according to the wireless communication model, obtain monitoring events and monitoring nodes, analyze the radio signals through monitoring events and monitoring nodes, obtain the disturbance risk, and obtain the dynamic signal disturbance diagram according to the disturbance risk and the wireless communication model;

[0039] The data processing module is used to obtain disturbance nodes and disturbance areas according to the monitoring nodes and the dynamic signal disturbance graph, and to obtain disturbance events and disturbance change values ​​according to the disturbance nodes, disturbance areas and the dynamic signal disturbance graph;

[0040] The data optimization module is used to protect against radio interference and generate protection strategies based on disturbance change values, disturbance events, and dynamic signal disturbance graphs.

[0041] Compared with the prior art, the above technical solution of the present invention has the following beneficial technical effects:

[0042] By constructing a wireless communication model, real-time monitoring of radio signals is carried out, and comprehensive analysis is performed on the received and transmitted electrical signals. On this basis, monitoring events and monitoring nodes are introduced, which can improve the real-time acquisition of radio conditions in the wireless communication model and increase the integrity of radio signal data; through the interference risk degree and dynamic signal disturbance diagram, it is beneficial to dynamically and multi-facetedly acquire radio interference and improve the accuracy of radio interference monitoring; through disturbance events and disturbance change values, further analysis of radio interference can reflect the impact history of dynamic interference sources; it is beneficial to timely protect radio equipment, reduce the loss of radio equipment, and increase the communication stability between radio equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 The present invention is a flowchart of an embodiment of the present invention. DETAILED DESCRIPTION

[0044] Embodiment 1, as Figure 1 As shown, the present invention proposes a real-time monitoring method for radio interference based on an AI algorithm, comprising the following steps:

[0045] S1. Acquire historical radio signal data and communication areas of radio equipment, construct transmission links between radio equipment according to the historical radio signal data, and construct a wireless communication model through the radio equipment, communication areas and transmission links;

[0046] S2. According to the wireless communication model, the radio signal is monitored and analyzed in real time to obtain monitoring events and monitoring nodes. The radio signal is analyzed through the monitoring events and monitoring nodes to obtain the disturbance risk degree, and a dynamic signal disturbance graph is obtained according to the disturbance risk degree and the wireless communication model;

[0047] S3. Obtain disturbance nodes and disturbance areas according to monitoring nodes and dynamic signal disturbance graphs, and obtain disturbance events and disturbance change values ​​according to disturbance nodes, disturbance areas and dynamic signal disturbance graphs;

[0048] S4. Protect against radio interference and generate a protection strategy based on disturbance change values, disturbance events, and dynamic signal disturbance graphs.

[0049] It should be further explained that, in the specific implementation process, the historical radio signal data and communication area of ​​the radio equipment are obtained, the transmission link between the radio equipment is constructed according to the historical radio signal data, and the process of constructing the wireless communication model through the radio equipment, the communication area and the transmission link is as follows:

[0050] The historical radio signal data includes the historical transmission electric signal data and the historical reception electric signal data; the historical transmission electric signal data includes the historical transmission electric signal, the historical transmission direction and the historical transmission time; the historical reception electric signal data includes the historical reception electric signal, the historical reception direction and the historical reception time;

[0051] The communication area refers to the area where radio signal data is generated between radio devices;

[0052] By analyzing the historical transmission direction and the historical reception direction of the historical radio signal data, when the historical transmission direction and the historical reception direction between the radio devices are opposite to each other, a transmission node is set through the transmission process of the radio signal, and a transmission link between the radio devices is constructed through several transmission nodes between the radio devices;

[0053] A wireless communication physical model is constructed through radio equipment and communication areas. The corresponding radio equipment in the wireless communication physical model is linked through transmission links, and historical transmitted electrical signals and historical received electrical signals are marked in the corresponding radio equipment to obtain a wireless communication model.

[0054] It should be further explained that, in the specific implementation process, according to the wireless communication model, the radio signal is monitored and analyzed in real time, the monitoring event and the monitoring node are obtained, the radio signal is analyzed through the monitoring event and the monitoring node, the disturbance risk degree is obtained, and according to the disturbance risk degree and the wireless communication model, the process of obtaining the dynamic signal disturbance diagram is as follows:

[0055] Through the wireless communication model, the radio signal is monitored in real time to obtain real-time radio signal data;

[0056] The real-time radio signal data includes the real-time transmission electric signal data and the real-time reception electric signal data; the real-time transmission electric signal data includes the real-time transmission electric signal and the real-time transmission time; the real-time reception electric signal data includes the real-time reception electric signal and the real-time reception time;

[0057] Analyze real-time radio signal data through AI algorithms to obtain real electric signals and real received electric signals;

[0058] It should be further explained that, in the specific implementation process, the specific process of analyzing the real-time radio signal data is: through the AI ​​algorithm, the real-time transmission electric signal and the abnormal signal of the real-time reception electric signal of the real-time radio signal data between the radio equipment are identified, and the identified abnormal signal is interfered and non-interfered to obtain the non-interference identification signal, and the non-interference identification signal of the real-time transmission electric signal and the real-time reception electric signal is removed through the convolutional neural network technology to obtain the real electric signal and the real received electric signal;

[0059] Set the send and receive comparison window;

[0060] The radio signal is intercepted through the transmission node, and the actual power generation signal and the actual received power signal between the radio equipment are divided into several signal segments, and the several signal segments are sorted to obtain the actual power generation segment, the actual received power segment and the transceiver cycle code corresponding to the transmission node; the transceiver comparison window is used to input and arrange, identify and compare the abnormal segments of several actual power generation segments and actual received power segments, and output the transceiver time and transceiver cycle code corresponding to the abnormal segment, record the transmission node corresponding to the abnormal segment as the monitoring node, and record the transceiver time and transceiver cycle code corresponding to the abnormal segment as the monitoring event;

[0061] The radio signals are analyzed through monitoring nodes and monitoring events. Through AI algorithms, several actual power generation segments corresponding to the monitoring nodes at the same transmission and reception time and abnormal segments corresponding to the actual power reception segments are analyzed and summarized respectively, and the comprehensive abnormal conditions of the actual power generation segments and the abnormal segments corresponding to the actual power reception segments at the same transmission and reception time are summarized respectively. The transmission and reception cycle codes corresponding to the abnormal segments are summarized respectively through the comprehensive abnormal conditions to obtain the abnormal reception cycle codes and the abnormal transmission cycle codes;

[0062] The interference risk is obtained by analyzing the radio signal through monitoring events, monitoring nodes, and different receiving cycle codes and different transmitting cycle codes. ;

[0063] ;

[0064] Wherein, a represents the total number of monitoring nodes of the transmission link between the radio devices; A represents the total number of transmission nodes of the transmission link between the radio devices; Indicates the difference between the abnormal receiving cycle code (or abnormal transmitting cycle code) of the abnormal segment corresponding to the a-th monitoring node and the first monitoring node; represents the difference between the abnormal reception cycle code (or abnormal transmission cycle code) of the abnormal segment corresponding to the i-th monitoring node and the i-1-th monitoring node; specifically, when i=1, It is the difference between the abnormal receiving cycle code (or abnormal transmitting cycle code) of the abnormal segment corresponding to the first monitoring node and the abnormal receiving cycle code (or abnormal transmitting cycle code) of the abnormal segment corresponding to the 0th monitoring node. The abnormal receiving cycle code (or abnormal transmitting cycle code) of the abnormal segment corresponding to the 0th monitoring node is composed of "0";

[0065] The difference between the adjacent receiving and transmitting cycle codes of the different receiving cycle codes and the different transmitting cycle codes is calculated respectively to obtain the difference receiving code amount and the difference transmitting code amount. If the difference receiving code amount of the different receiving cycle codes is completely equal to the difference transmitting code amount of the different transmitting cycle codes, the interference risk degree of the actual electric signal and the interference risk degree of the actual received electric signal are consistent, which is recorded as the interference risk degree D.

[0066] If the difference in the received code quantity of the different receiving cycle coding is not completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, the interference risk of the actual electric signal is obtained. And the interference risk of the received electrical signal ;

[0067] Convert the radio equipment in the wireless communication model into device nodes, mark the interference risk degree on the transmission link between the corresponding device nodes in the wireless communication model, mark the communication area between the device nodes in the device nodes, and set the interference risk degree threshold interval (e, f), where e is the lower threshold of the interference risk degree and f is the upper threshold of the interference risk degree;

[0068] The disturbance risk is analyzed through the disturbance risk threshold interval. When the disturbance risk is less than or equal to the lower threshold e of the disturbance risk, the communication area corresponding to the disturbance risk is marked as communication area I; when the disturbance risk belongs to the disturbance risk threshold interval (e, f), the communication area corresponding to the disturbance risk is marked as communication area II; when the disturbance risk is greater than or equal to the upper threshold f of the disturbance risk, the communication area corresponding to the disturbance risk is marked as communication area III, and communication area I, communication area II and communication area III are recorded as communication area marks; a dynamic signal disturbance graph is constructed through device nodes, disturbance risk, transmission links and communication area marks;

[0069] It should be further explained that, in the specific implementation process, the interference risk degree analyzed by the interference risk threshold interval is further explained, the interference risk degree includes interference risk degree D, interference risk degree and interference risk degree, and the communication area corresponding to the interference risk degree is further explained in the marking process. The communication area corresponding to the interference risk degree is: if it is interference risk degree D, then the communication area refers to the communication area of ​​all radio equipment corresponding to the interference risk degree, if it is interference risk degree , then the communication area refers to the communication area of ​​the radio equipment sending radio signals corresponding to the interference risk degree. , then the communication area refers to the communication area of ​​the radio equipment receiving the radio signal corresponding to the interference risk degree.

[0070] It should be further explained that, in the specific implementation process, according to the monitoring node and the dynamic signal disturbance map, the disturbance node and the disturbance area are obtained, and according to the disturbance node, the disturbance area and the dynamic signal disturbance map, the process of obtaining the disturbance event and the disturbance change value is as follows:

[0071] By marking the corresponding position of the monitoring node in the transmission link of the dynamic signal disturbance graph, when the communication area where the monitoring node is located is communication area II or communication area III, the monitoring node is recorded as a disturbance node, and the communication area where the monitoring node is located is recorded as a disturbance area. Specifically, the communication area II where the monitoring node is located is recorded as disturbance area I, and the communication area III where the monitoring node is located is recorded as disturbance area II;

[0072] The disturbance risk of the transmission link corresponding to the disturbance node is obtained through the dynamic signal disturbance graph, and the disturbance node, the disturbance risk corresponding to the disturbance node and the disturbance area corresponding to the disturbance node are recorded as disturbance events;

[0073] Through the disturbance event, the disturbance change value L is obtained;

[0074] ;

[0075] Where h is the propagation speed of electromagnetic waves; S( ) is the receiving electrical signal function; F( ) is the transmission electrical signal function; when the difference in the received code quantity of the different receiving cycle coding is completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, ; When the difference in the received code quantity of the different receiving cycle coding is not completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, ; g is the total number of disturbance nodes in the disturbance area; G is the total number of transmission nodes in the disturbance area.

[0076] It should be further explained that, in the specific implementation process, according to the disturbance change value, disturbance event and dynamic signal disturbance diagram, the process of protecting against radio interference and generating a protection strategy is as follows:

[0077] Obtain the diameter of the disturbance area in the dynamic signal disturbance graph, record it as the disturbance diameter, locate the disturbance area in the dynamic signal disturbance graph through the disturbance event, and record it as the main disturbance area, and record other disturbance areas around the disturbance area as the side disturbance area;

[0078] The absolute value of the difference between the disturbance diameter of the side disturbance area and the disturbance diameter of the main disturbance area is recorded as the disturbance spacing value of the side disturbance area. When the disturbance spacing value is equal to the disturbance change value, the side disturbance area corresponding to the disturbance spacing value is recorded as the dynamic disturbance area.

[0079] Through deep learning of the disturbance change value and disturbance risk corresponding to the historical radio signal data of the transmission link where the disturbance node is located, and analyzing the disturbance change value and disturbance risk corresponding to the real-time radio signal data of the transmission link where the disturbance node is located, the impact history of the interference source is obtained, and the impact history of the interference source is predicted to obtain the predicted interference history, which is sent to relevant protection personnel to protect the radio equipment and generate a protection strategy.

[0080] Embodiment 2: A radio interference real-time monitoring system based on an AI algorithm proposed in the present invention is applied to a radio interference real-time monitoring method based on an AI algorithm described in Embodiment 1, specifically including a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data processing module, and a data optimization module:

[0081] The data acquisition module is used to obtain the historical radio signal data and communication area of ​​the radio equipment, build the transmission link between the radio equipment according to the historical radio signal data, and build the wireless communication model through the radio equipment, the communication area and the transmission link;

[0082] The data analysis module is used to monitor and analyze the radio signals in real time according to the wireless communication model, obtain monitoring events and monitoring nodes, analyze the radio signals through monitoring events and monitoring nodes, obtain the disturbance risk, and obtain the dynamic signal disturbance diagram according to the disturbance risk and the wireless communication model;

[0083] The data processing module is used to obtain disturbance nodes and disturbance areas according to the monitoring nodes and the dynamic signal disturbance graph, and to obtain disturbance events and disturbance change values ​​according to the disturbance nodes, disturbance areas and the dynamic signal disturbance graph;

[0084] The data optimization module is used to protect against radio interference and generate protection strategies based on disturbance change values, disturbance events, and dynamic signal disturbance graphs.

[0085] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A real-time monitoring method for radio interference based on AI algorithm, characterized in that: The following steps are involved: S1. Acquire historical radio signal data and communication areas of radio equipment, construct transmission links between radio equipment according to the historical radio signal data, and construct a wireless communication model through the radio equipment, communication areas and transmission links; S2. According to the wireless communication model, the radio signal is monitored and analyzed in real time to obtain monitoring events and monitoring nodes. The radio signal is analyzed through the monitoring events and monitoring nodes to obtain the disturbance risk degree, and a dynamic signal disturbance graph is obtained according to the disturbance risk degree and the wireless communication model; S3. Obtain disturbance nodes and disturbance areas according to monitoring nodes and dynamic signal disturbance graphs, and obtain disturbance events and disturbance change values ​​according to disturbance nodes, disturbance areas and dynamic signal disturbance graphs; S4. Protect against radio interference and generate a protection strategy based on disturbance change values, disturbance events, and dynamic signal disturbance graphs; According to the wireless communication model, the radio signal is monitored and analyzed in real time to obtain the monitoring events and monitoring nodes. The process of analyzing the radio signal through the monitoring events and monitoring nodes to obtain the interference risk degree includes: Through the wireless communication model, the radio signal is monitored in real time to obtain real-time radio signal data; the real-time radio signal data includes real-time transmission electric signal data and real-time reception electric signal data; Analyze real-time radio signal data through AI algorithms to obtain real electric signals and real received electric signals; Set a transceiver comparison window; obtain the actual power generation segment, actual power reception segment and transceiver cycle code corresponding to the transmission node according to the transmission node, the actual power generation signal and the actual power reception signal; obtain the abnormal segment, the transceiver time and transceiver cycle code corresponding to the abnormal segment through the transceiver comparison window, obtain the monitoring node through the abnormal segment and its corresponding transmission node, and obtain the monitoring event according to the transceiver time and transceiver cycle code corresponding to the abnormal segment; The disturbance risk is obtained by monitoring events, monitoring nodes, and the codes of different receiving cycles and different transmitting cycles. ; ； Wherein, a is the total number of monitoring nodes of the transmission link between radio devices; A is the total number of transmission nodes of the transmission link between radio devices; The difference between the abnormal receiving cycle code or the abnormal transmitting cycle code of the abnormal segment corresponding to the a-th monitoring node and the first monitoring node; It represents the difference between the abnormal reception period code or the abnormal transmission period code of the abnormal segment corresponding to the i-th monitoring node and the i-1-th monitoring node.

2. According to the method of real-time monitoring of radio interference based on AI algorithm in claim 1, it is characterized in that: The process of obtaining historical radio signal data and communication areas of radio equipment, constructing transmission links between radio equipment according to the historical radio signal data, and constructing a wireless communication model through the radio equipment, communication areas and transmission links includes: The historical radio signal data includes the historical transmission electric signal data and the historical reception electric signal data; the historical transmission electric signal data includes the historical transmission electric signal, the historical transmission direction and the historical transmission time; the historical reception electric signal data includes the historical reception electric signal, the historical reception direction and the historical reception time; Analyze the historical transmission direction and the historical reception direction, and set the transmission node through the transmission process of the radio signal, and build the transmission link between the radio devices through several transmission nodes between the radio devices; A wireless communication physical model is constructed through radio equipment and communication areas, and a wireless communication model is obtained through transmission links, wireless communication physical models, historical transmitted electrical signals, historical received electrical signals and radio equipment.

3. The method for real-time monitoring of radio interference based on AI algorithm according to claim 2 is characterized in that: According to the disturbance risk and wireless communication model, the process of obtaining the dynamic signal disturbance map is: Obtain the abnormal reception cycle code and the abnormal transmission cycle code by monitoring nodes, monitoring events, radio signals and abnormal fragments; According to the different receiving cycle coding and the different sending cycle coding, the difference receiving code amount and the difference sending code amount are obtained, and the difference receiving code amount and the difference sending code amount are analyzed to obtain the interference risk degree D and the interference risk degree and disturbance risk ; According to the radio equipment in the wireless communication model, the device node is obtained and the interference risk threshold interval is set; The disturbance risk is analyzed through the disturbance risk threshold interval to obtain communication area I, communication area II and communication area III, and the communication area I, communication area II and communication area III are recorded as communication area marks; A dynamic signal disturbance graph is constructed through device nodes, disturbance risk, transmission links and communication area markers.

4. The method for real-time monitoring of radio interference based on AI algorithm according to claim 3 is characterized in that: According to the monitoring nodes and the dynamic signal disturbance graph, the process of obtaining the disturbance nodes and disturbance areas includes: By marking the corresponding position of the monitoring node in the transmission link of the dynamic signal disturbance graph, when the communication area where the monitoring node is located is communication area II or communication area III, the monitoring node is recorded as a disturbance node, and the communication area where the monitoring node is located is recorded as a disturbance area.

5. The method for real-time monitoring of radio interference based on AI algorithm according to claim 1 or 4, characterized in that: According to the disturbance nodes, disturbance areas and dynamic signal disturbance diagrams, the process of obtaining disturbance events and disturbance change values ​​includes: The disturbance risk of the transmission link corresponding to the disturbance node is obtained through the dynamic signal disturbance graph, and the disturbance event is obtained according to the disturbance node, the disturbance risk corresponding to the disturbance node and the disturbance area corresponding to the disturbance node; Through the disturbance event, the disturbance change value L is obtained; ； Where h is the propagation speed of electromagnetic waves; S( ) is the receiving electrical signal function; F( ) is the transmission electrical signal function; when the difference in the received code quantity of the different receiving cycle coding is completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, ; When the difference in the received code quantity of the different receiving cycle coding is not completely equal to the difference in the transmitted code quantity of the different transmitting cycle coding, ; g is the total number of disturbance nodes in the disturbance area; G is the total number of transmission nodes in the disturbance area.

6. The method for real-time monitoring of radio interference based on AI algorithm according to claim 5 is characterized in that: The process of protecting against radio interference and generating a protection strategy based on disturbance change values, disturbance events, and dynamic signal disturbance graphs includes: Obtain the diameter of the disturbance area in the dynamic signal disturbance map, recorded as the disturbance diameter, and obtain the main disturbance area and the side disturbance area according to the disturbance event and the dynamic signal disturbance map; obtain the disturbance spacing value of the side disturbance area according to the disturbance diameters of the side disturbance area and the main disturbance area, analyze the disturbance spacing value and the disturbance change value, and obtain the dynamic disturbance area; Through deep learning of the disturbance change value and disturbance risk corresponding to the historical radio signal data of the transmission link where the disturbance node is located, and analyzing the disturbance change value and disturbance risk corresponding to the real-time radio signal data of the transmission link where the disturbance node is located, the impact history of the interference source is obtained, and the impact history of the interference source is predicted to obtain the predicted interference history, which is sent to relevant protection personnel to protect the radio equipment and generate a protection strategy.

7. A radio interference real-time monitoring system based on an AI algorithm, specifically applied to a radio interference real-time monitoring method based on an AI algorithm as claimed in any one of claims 1 to 6, comprising a management center, characterized in that: The management center is connected to the data acquisition module, data analysis module, data processing module and data optimization module: The data acquisition module is used to obtain the historical radio signal data and communication area of ​​the radio equipment, build the transmission link between the radio equipment according to the historical radio signal data, and build the wireless communication model through the radio equipment, the communication area and the transmission link; The data analysis module is used to monitor and analyze the radio signals in real time according to the wireless communication model, obtain monitoring events and monitoring nodes, analyze the radio signals through monitoring events and monitoring nodes, obtain the disturbance risk, and obtain the dynamic signal disturbance diagram according to the disturbance risk and the wireless communication model; The data processing module is used to obtain disturbance nodes and disturbance areas according to the monitoring nodes and the dynamic signal disturbance graph, and to obtain disturbance events and disturbance change values ​​according to the disturbance nodes, disturbance areas and the dynamic signal disturbance graph; The data optimization module is used to protect against radio interference and generate protection strategies based on disturbance change values, disturbance events, and dynamic signal disturbance graphs.

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