CN116056244B - Public network wireless communication resource scheduling method and system based on remote module - Google Patents
Public network wireless communication resource scheduling method and system based on remote module Download PDFInfo
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Abstract
The application relates to the technical field of data processing, and provides a public network wireless communication resource scheduling method and system based on a remote module. Generating a communication performance rating result according to the real-time communication data analysis result, acquiring interference signals by referring to the communication performance rating result, extracting interference source characteristics by using the interference signal analysis result, constructing an interference source characteristic label, and positioning an interference source; and obtaining a scheduling control result according to the communication demand information and the interference source positioning result to perform intelligent scheduling and control of wireless communication. The technical problems that interference signals are mixed into transmission information signals and the reliability of user data transmission is affected due to the fact that the actual data transmission performance is not adapted to the user data transmission requirement in the prior art are solved, the interference signal shielding is carried out according to the user communication requirement, the interference signal shielding effectiveness in the communication data information transmission process is improved, and the communication data information transmission accuracy and reliability are improved are achieved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a public network wireless communication resource scheduling method and system based on a remote module.
Background
With the continuous development and progress of data transmission technology, compared with wired communication, wireless communication technology, which is free from site limitation, wide in coverage range and rapid in construction, gradually replaces wired communication to become an important development direction in the current data transmission field.
Public network wireless communication network serving for public personal communication is used as an important branch of wireless data transmission technology, the public brings out stricter requirements on stability and reliability of data information transmission, and the response processing modes of the public network wireless communication network on different communication data transmission demands of the public are rough at present, so that when the public adopts the public network wireless communication network to transmit data information, the actual data transmission performance and the data transmission demands are not adapted, and the defect that the reliability and the effectiveness of the data transmission are affected exists.
In summary, in the prior art, when data transmission is performed based on the public network wireless communication network, the actual data transmission performance is not adapted to the user data transmission requirement, so that the technical problem that interference signals are mixed into transmission information signals easily occurs, and the reliability of user data transmission is affected is solved.
Disclosure of Invention
Based on the above, it is necessary to provide a public network wireless communication resource scheduling method and system based on a remote module, which can realize interference signal shielding according to the communication requirements of users, improve the effectiveness of interference signal shielding in the process of communication data information transmission, and improve the accuracy and reliability of communication data information transmission.
A public network wireless communication resource scheduling method based on a remote module comprises the following steps: connecting the remote interaction device with a public network wireless communication network to obtain real-time communication data, and collecting and obtaining communication demand information; performing data analysis on the real-time communication data, and grading communication performance according to a data analysis result to generate a communication performance grading result; controlling the intelligent analysis device to collect interference signals according to the communication performance rating result, and executing signal analysis on the interference signal collection result; extracting interference source characteristics based on a signal analysis result, constructing an interference source characteristic label, and completing interference source positioning; inputting the communication demand information and the interference source positioning result into a scheduling control model, and outputting a scheduling control result; and performing intelligent scheduling and control of wireless communication according to the scheduling control result.
A remote module-based public network wireless communication resource scheduling system, the system comprising: the communication demand acquisition module is used for connecting the remote interaction device with a public network wireless communication network, acquiring real-time communication data and acquiring communication demand information; the communication performance rating module is used for carrying out data analysis on the real-time communication data, and carrying out communication performance rating according to a data analysis result to generate a communication performance rating result; the interference signal acquisition module is used for controlling the intelligent analysis device to acquire interference signals according to the communication performance rating result and executing signal analysis on the interference signal acquisition result; the signal analysis processing module is used for extracting the interference source characteristics based on the signal analysis result, constructing an interference source characteristic label and completing the positioning of the interference source; the scheduling control output module is used for inputting the communication demand information and the interference source positioning result into a scheduling control model and outputting a scheduling control result; and the scheduling control execution module is used for performing intelligent scheduling and control of wireless communication according to the scheduling control result.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
connecting the remote interaction device with a public network wireless communication network to obtain real-time communication data, and collecting and obtaining communication demand information;
performing data analysis on the real-time communication data, and grading communication performance according to a data analysis result to generate a communication performance grading result;
controlling the intelligent analysis device to collect interference signals according to the communication performance rating result, and executing signal analysis on the interference signal collection result;
extracting interference source characteristics based on a signal analysis result, constructing an interference source characteristic label, and completing interference source positioning;
inputting the communication demand information and the interference source positioning result into a scheduling control model, and outputting a scheduling control result;
and performing intelligent scheduling and control of wireless communication according to the scheduling control result.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
connecting the remote interaction device with a public network wireless communication network to obtain real-time communication data, and collecting and obtaining communication demand information;
performing data analysis on the real-time communication data, and grading communication performance according to a data analysis result to generate a communication performance grading result;
controlling the intelligent analysis device to collect interference signals according to the communication performance rating result, and executing signal analysis on the interference signal collection result;
extracting interference source characteristics based on a signal analysis result, constructing an interference source characteristic label, and completing interference source positioning;
inputting the communication demand information and the interference source positioning result into a scheduling control model, and outputting a scheduling control result;
and performing intelligent scheduling and control of wireless communication according to the scheduling control result.
According to the public network wireless communication resource scheduling method and system based on the remote module, the technical problems that interference signals are mixed into transmission information signals and the reliability of user data transmission is affected due to the fact that actual data transmission performance is not adapted to user data transmission requirements when data transmission is carried out based on the public network wireless communication network in the prior art are solved, interference signal shielding is carried out according to user communication requirements, interference signal shielding effectiveness in the communication data information transmission process is improved, and communication data information transmission accuracy and reliability are improved are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
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Fig. 1 is a flow chart of a public network wireless communication resource scheduling method based on a remote module in an embodiment;
fig. 2 is a schematic flow chart of interference signal acquisition in a public network wireless communication resource scheduling method based on a remote module in an embodiment;
FIG. 3 is a block diagram illustrating the architecture of a remote module-based public network wireless communication resource scheduling system in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises a communication demand acquisition module 1, a communication performance rating module 2, an interference signal acquisition module 3, a signal analysis processing module 4, a dispatching control output module 5 and a dispatching control execution module 6.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As shown in fig. 1, the present application provides a public network wireless communication resource scheduling method based on a remote module, the method is applied to an intelligent control system, the intelligent control system is in communication connection with a remote interaction device and an intelligent analysis device, and the method includes:
s100, connecting the remote interaction device with a public network wireless communication network to obtain real-time communication data, and collecting and obtaining communication demand information;
s200, carrying out data analysis on the real-time communication data, and grading communication performance according to a data analysis result to generate a communication performance grading result;
specifically, in this embodiment, the public wireless communication network is a wireless communication network serving for personal communication of the public, and the public communication service satisfying the requirements of different communication distances is implemented based on setting different communication wavelength ranges and communication frequency band ranges.
The communication terminal is a tool for enabling a communication user to enjoy public network wireless communication service, the public network wireless communication network is accessed through the communication terminal, and the communication user realizes transmission of communication data through the public network wireless communication network based on the direct tool of the communication terminal. The real-time communication data is communication data which is not limited to images, graphics and audios and videos and is intended to be transmitted by a communication user, the data content of the acquired real-time communication data is still in a privacy state, and the embodiment is only based on interference factors which cause defects of data transmission effectiveness and reliability of the real-time communication data.
In this embodiment, the remote interaction device is a data acquisition device with a wireless signal information acquisition function, the remote interaction device is directly connected with a public network wireless communication network, the real-time communication data is acquired through the remote interaction device, and the communication requirement information is acquired and obtained, and the communication requirement information includes a communication data transmission rate dimension requirement and a requirement on communication data transmission effectiveness and reliability.
It should be understood that different communication data realize different 'inclusion degree' of interference signals in the transmission process of effective transmission, and that some communication data do not influence effective and reliable transmission of original content of communication data in the transmission process of complex multi-source interference signals through a public network wireless communication network, and that any interference signals in the transmission process of some communication data through the public network wireless communication network have effective and reliable transmission of original content of communication data.
Therefore, the embodiment presets the communication performance grade based on the communication data transmission frequency, and the higher the communication performance grade of the communication data is, the higher the communication data transmission frequency is, the data analysis is performed on the real-time communication data to obtain the transmission frequency data of the real-time communication data, the communication performance grade is performed according to the data analysis result as the data analysis result, the communication performance grade result is generated, and the communication performance grade result provides a reference for the follow-up confirmation of the type of the interference signal affecting the effective transmission of the real-time communication data and the positioning of the interference source.
S300, controlling the intelligent analysis device to collect interference signals according to the communication performance rating result, and executing signal analysis on the interference signal collection result;
in one embodiment, as shown in fig. 2, the method steps provided by the present application further include:
s310, carrying out demand analysis on the communication demand information to obtain a communication duration demand and a communication performance demand;
s320, carrying out monitoring window matching based on the communication duration requirement to obtain a monitoring window matching result;
s330, performing performance evaluation on the communication performance rating result through the communication performance requirement to generate a performance evaluation result;
and S340, controlling the intelligent analysis device to acquire interference signals based on the monitoring window matching result and the performance evaluation result.
Specifically, based on step S200, the communication requirement information includes a communication data transmission rate dimension requirement and a requirement for communication data transmission availability and reliability. Therefore, the embodiment analyzes the communication requirement information to obtain the communication duration requirement and the communication performance requirement, wherein the communication duration requirement is a transmission rate requirement (for example, a required transmission rate is more than or equal to 1200 bits/second) of the real-time communication data in the public network wireless communication network, the communication performance requirement is a transmission quality requirement (for example, a bit error rate requirement BER is less than or equal to 10-6) of the communication user on the real-time communication data in the public network wireless communication network, and even if interference signals are mixed in signals of the real-time communication data, the accurate content transmission of the communication real-time data is not affected under the condition that the communication performance requirement is met.
It should be understood that in the use process of the public network wireless communication network, the generation of the interference signal has instantaneity, so that the embodiment performs monitoring window matching based on the communication duration requirement to obtain a monitoring window matching result, wherein the monitoring window is used for instantaneously collecting the transmission signals in the public network wireless communication network, the data transmission signals and the interference signal are included in the monitoring window matching result, the monitoring window matching result includes a plurality of monitoring windows, the time required by the communication duration requirement is equally divided into a plurality of instant times by the plurality of monitoring windows, and the number of the monitoring window matching can be set according to the actual requirement.
It should be understood that, in order to avoid that the signal frequency of each type of interference signal generated in the use process of the public network wireless communication network is close to the communication data signal, so that the interference signal is accepted and mixed into the carrier wave of the communication data signal, the event of interfering the transmission quality of the communication data signal occurs, the interference source positioning and shielding processing of the interference signal needs to be performed, and meanwhile, if all the interference signals are subjected to the interference source positioning and shielding, the defect that the data analysis processing capacity is too large, and the communication data transmission efficiency of the communication user and the use experience of the public network wireless communication network are affected exists.
Therefore, the embodiment selectively shields the interference signals of the public network wireless communication network, and shields certain types of interference signals which interfere with the accuracy of the real-time communication data transmission effectiveness. Specifically, performance evaluation is performed according to the bit error rate and the transmission rate data of the communication performance requirement and in combination with the communication performance rating result, and the performance evaluation result is generated, wherein the performance evaluation result is the frequency characteristic and the signal fluctuation characteristic of the interference signal to be shielded.
The intelligent analysis device is a multifunctional device which collects and analyzes the transmission signals in the public network wireless communication network according to the monitoring time requirement and the monitoring signal characteristic requirement, determines the signal characteristics of the collected signals and integrates the signal collection and signal analysis functions.
And controlling the intelligent analysis device to acquire the interference signals meeting the interference signal characteristic requirements of the performance evaluation result according to the monitoring time period requirements of the monitoring window matching result based on the monitoring window matching result and the performance evaluation result, and carrying out signal frequency fluctuation analysis on the interference signals acquired in actual acquisition by the intelligent analysis device to obtain the signal analysis result, wherein the signal analysis result reflects the change condition of the signal frequency fluctuation along with time in the transmission process of the interference signals. According to the embodiment, through selectively collecting the interference signals and analyzing the interference signals to obtain a signal analysis result, the technical effect of providing analysis data for the subsequent analysis to determine the positioning of the interference source generating the interference signals is achieved.
S400, extracting interference source characteristics based on a signal analysis result, constructing an interference source characteristic label and completing interference source positioning;
in one embodiment, the method steps provided by the application further comprise:
s410, obtaining an interference source feature extraction result, and carrying out feature cycle analysis on the feature extraction result based on a time axis;
s420, when the characteristics of the interference source are judged to be cyclic characteristics, cyclic period fitting is carried out according to the time axis and the characteristic extraction result, and a cyclic period fitting result is obtained;
s430, obtaining characteristic fluctuation information of each node in a cyclic period fitting process, and carrying out fluctuation identification on the cyclic period fitting result based on the characteristic fluctuation information;
s440, constructing an interference source characteristic tag based on the cyclic period fitting result with the fluctuation identification, and completing interference source positioning.
In one embodiment, the method steps provided by the application further comprise:
s431, carrying out fluctuation amplitude and fluctuation frequency statistics on the characteristic fluctuation information to obtain a statistical result;
s432, initializing fluctuation analysis features according to the cycle times in the cycle period fitting result;
s433, generating fluctuation identification information according to the initialized fluctuation analysis characteristics and the statistical result;
s434, completing fluctuation identification of the cyclic period fitting result through the fluctuation identification information.
In one embodiment, the method steps provided by the application further comprise:
s421, when the feature of the interference source is judged to be the non-cyclic feature, window expansion is carried out on the matching result of the monitoring window, and an expanded monitoring window is obtained;
s422, controlling the intelligent analysis device to acquire interference signals based on the extended monitoring window, and generating an extended interference signal acquisition result;
s423, completing the positioning of the interference source based on the expanded interference signal acquisition result and the interference signal acquisition result.
Specifically, it should be understood that, the interference signal is generated from an interference source in the public network wireless communication network, in this embodiment, only the interference signal is shielded, in this embodiment, the signal analysis result is a signal frequency fluctuation characteristic of the interference signal changing with time in the transmission process, by performing data change characteristic analysis on the signal analysis result, a signal generation characteristic of the interference signal generated by the interference source generating the type of interference signal is obtained, and the interference source characteristic extraction result is obtained, where the interference source characteristic extraction result is an interference signal of different frequency characteristics generated by the interference source in the time change process.
And carrying out characteristic cycle analysis on the characteristic extraction result based on a time axis, analyzing and determining whether the signal frequencies of a plurality of interference signals generated by the interference source have the characteristic of cycle according to a certain time period, when the characteristic of the interference source is judged to be cycle characteristic, indicating that the interference source regularly sends out a group of interference signals with the same frequency change according to the certain time period, and carrying out cycle fitting according to the time axis and the characteristic extraction result to obtain a cycle fitting result, wherein the cycle fitting result is the time period of the group of interference signals with the same frequency change sent out by the interference source and the time fluctuation change data of the signal frequencies of the interference signals in each time period.
Since the signal frequency variation of a group of interference signals generated by the interference source in each cycle is consistent when the interference source is characterized by a cycle characteristic, the embodiment performs the interference signal fluctuation amplitude and the fluctuation frequency statistics based on any cycle period.
And obtaining characteristic fluctuation information of each node of the fluctuation change node of the signal frequency of the interference signal, which is generated when the frequency of the interference signal is lost in a steady state in any cycle in the cycle fitting process, recording the fluctuation amplitude and the fluctuation frequency of the signal frequency of the interference signal in the cycle based on the characteristic fluctuation information, and finishing statistics of the fluctuation amplitude and the fluctuation frequency, thereby obtaining the statistical result.
Based on the characteristic that the signal frequency changes of a group of interference signals generated by the interference source in each cycle period have consistency, the embodiment carries out fluctuation analysis feature initialization according to the cycle times in the cycle period fitting result, and obtains the data of the signal frequency fluctuation change of the interference signals in a single cycle period through initialization combination of a plurality of cycle periods in the cycle period fitting result.
And generating fluctuation identification information according to the initialized fluctuation analysis characteristics and the statistical result, wherein the fluctuation identification information represents the fluctuation amplitude and the fluctuation frequency of fluctuation change of the interference signal generated by the interference source in each time period along with time. And finishing the fluctuation identification of the cyclic period fitting result through the fluctuation identification information. And constructing an interference source characteristic tag based on the cyclic period fitting result with the fluctuation identification, wherein the interference source characteristic tag comprises the signal frequency fluctuation amplitude and the signal frequency fluctuation times of the interference signal generated by the interference source along with the time change, and positioning of the interference signal corresponding to the interference source in the public network wireless communication network and dynamic shielding of the interference signal generated by the interference source can be completed based on the interference source characteristic.
Further, when the characteristic of the interference source is determined to be a non-cyclic characteristic, it is indicated that the frequency and amplitude of the signal change of the interference signal sent by the interference source may be irregular within the time span required by the communication duration. For the irregular variable interference signals, the embodiment expands the window of the monitoring window matching result to obtain an expanded monitoring window, expands the communication signal acquisition time range based on the expanded monitoring window, and expands the monitoring window matching result which is close to or consistent with the communication time length demand time length originally so as to obtain a plurality of monitoring windows with larger time span for acquiring the interference signals.
And controlling the intelligent analysis device to acquire the interference signal based on the extended monitoring window, generating an extended interference signal acquisition result, adopting the data processing method for completing the positioning of the interference source based on the analysis of the interference signal acquisition result, combining the extended interference signal acquisition result and the interference signal acquisition result, and completing the positioning of the interference source based on the interference signal acquisition result which expands the interference signal acquisition time range after combination. According to the embodiment, the interference source characteristics are analyzed and determined, so that the technical effects of positioning the corresponding interference signals of the interference source in the public network wireless communication network and dynamically shielding the interference signals generated by the interference source are achieved, and the occurrence of the event that the interference signals with the frequency close to the signal frequency of the real-time communication data are accepted and mixed into the carrier waves of the real-time communication data signals, and the transmission quality of the interference communication data signals is reduced are avoided.
S500, inputting the communication demand information and the interference source positioning result into a scheduling control model, and outputting a scheduling control result;
and S600, performing intelligent scheduling and control of wireless communication according to the scheduling control result.
Specifically, in this embodiment, the scheduling control model is constructed based on a neural network, input information of the scheduling control model is communication requirement information and an interference source positioning result, and an output result is a scheduling control parameter for performing interference signal shielding processing generated by an interference source.
And acquiring a plurality of groups of sample communication requirement information-sample interference source positioning results and a plurality of sample wireless communication scheduling control parameters of interference signal shielding corresponding to the plurality of groups of sample communication requirement-sample interference source positioning results.
Dividing a plurality of groups of sample communication demand information, sample interference source positioning results and sample wireless communication scheduling control parameter identifiers into a training set, a verification set and a test set, performing supervised training on the scheduling control model by adopting the training set, performing verification and test on the scheduling control model by adopting the verification set and the test set, and obtaining the scheduling control model if the accuracy rate meets the requirement of a preset accuracy rate. And inputting the communication demand information and the interference source positioning result into a scheduling control model, outputting the scheduling control result, and performing intelligent scheduling and control of wireless communication according to the scheduling control result. According to the method, the device and the system, the interference signal shielding in the communication data information transmission process is effectively achieved based on the communication demand information and the interference source positioning result through constructing and training the scheduling control model, and the technical effects of improving the communication data information transmission accuracy and reliability are achieved.
In one embodiment, the method steps provided by the application further comprise:
s710, setting a monitoring verification window;
s720, carrying out communication monitoring on wireless communication for executing intelligent scheduling and control based on the monitoring verification window, and generating a communication monitoring result;
and S730, performing scheduling control optimization of wireless communication resource scheduling according to the communication monitoring result.
In one embodiment, the method steps provided by the application further comprise:
s721, carrying out result analysis on the communication monitoring result to obtain an interference source monitoring result and a communication abnormity monitoring result;
s722, carrying out anomaly comparison based on the interference source monitoring result and the interference source positioning result to obtain an anomaly comparison result;
s723, carrying out communication abnormality evaluation based on the communication abnormality monitoring result and the communication requirement information to obtain a communication abnormality evaluation result;
and S724, performing scheduling control optimization of wireless communication resource scheduling according to the anomaly comparison result and the communication anomaly evaluation result.
Specifically, in this embodiment, in order to ensure that, during the transmission process of the communication data information in the public network wireless communication network, the interference signal is not mixed into the real-time communication data, so as to reduce the accuracy of the transmission of the real-time communication data, the monitoring verification window is newly added to perform the shielding effectiveness monitoring of the interference source during the transmission process of the real-time communication data. The monitoring verification window and the monitoring window are used for monitoring transient signals transmitted in the public network wireless communication network.
And carrying out communication monitoring on wireless communication for performing intelligent scheduling and control based on the monitoring verification window, and generating a communication monitoring result, wherein the communication monitoring result comprises a transmission signal of the real-time data information transmitted in the public network wireless communication network and an interference signal generated by an interference source.
And carrying out result analysis on the communication monitoring result to obtain an interference source monitoring result and a communication abnormity monitoring result, wherein the interference source monitoring result is an interference source actually accompanied with the real-time data information transmission, and the communication abnormity monitoring result is a transmission signal actually transmitted by the real-time data information in the public network wireless communication network.
In theory, in step S600, the public network wireless communication network after performing intelligent scheduling and control of wireless communication based on the scheduling control result has shielded a special frequency interference signal that can be generated by the interference source positioning result, but the actual shielding situation has deviation from the theory, so that the interference source monitoring result and the interference source positioning result are subjected to traversal comparison, if the interference source type falling into the interference source positioning result exists in the interference source monitoring result, an abnormal comparison result is generated, and the abnormal comparison result is an interference source that needs to perform secondary scheduling control elimination of wireless communication.
And carrying out signal analysis on the communication anomaly monitoring result to obtain the actual communication duration and the actual communication performance of the transmission signal represented by the anomaly monitoring result, correspondingly carrying out data deviation comparison to complete communication anomaly evaluation based on the actual communication duration and the actual communication performance of the communication anomaly monitoring result and the communication duration requirement and the communication performance requirement of the communication requirement information, and obtaining a communication anomaly evaluation result, wherein the communication anomaly evaluation result comprises communication duration deviation and/or communication performance deviation.
And (3) taking the abnormal comparison result as an interference source positioning result, taking the communication abnormal evaluation result as communication demand information, secondarily inputting the communication abnormal evaluation result into the scheduling control model constructed in the step S600, outputting a secondary scheduling control result, and performing secondary intelligent scheduling and control optimization of wireless communication according to the secondary scheduling control result.
According to the embodiment, the monitoring verification window is additionally arranged to monitor the shielding effectiveness of the interference source in the real-time communication data transmission process, and the defects of the ineffective shielding of the interference source and the actual real-time data information transmission requirement are secondarily optimized, so that the technical effects of effectively guaranteeing the effectiveness and the reliability of the communication data transmission in the actual public network wireless communication operation process are achieved.
In one embodiment, as shown in fig. 3, there is provided a public network wireless communication resource scheduling system based on a remote module, including: the system comprises a communication demand acquisition module 1, a communication performance rating module 2, an interference signal acquisition module 3, a signal analysis processing module 4, a dispatch control output module 5 and a dispatch control execution module 6, wherein:
the communication demand acquisition module 1 is used for connecting the remote interaction device with a public network wireless communication network, acquiring real-time communication data and acquiring communication demand information;
the communication performance rating module 2 is used for carrying out data analysis on the real-time communication data, and carrying out communication performance rating according to a data analysis result to generate a communication performance rating result;
the interference signal acquisition module 3 is used for controlling the intelligent analysis device to acquire interference signals according to the communication performance rating result and executing signal analysis on the interference signal acquisition result;
the signal analysis processing module 4 is used for extracting the interference source characteristics based on the signal analysis result, constructing an interference source characteristic label and completing the positioning of the interference source;
the scheduling control output module 5 is used for inputting the communication demand information and the interference source positioning result into a scheduling control model and outputting a scheduling control result;
and the scheduling control execution module 6 is used for performing intelligent scheduling and control of wireless communication according to the scheduling control result.
In one embodiment, the system further comprises:
the communication demand analysis unit is used for carrying out demand analysis on the communication demand information to obtain a communication duration demand and a communication performance demand;
the detection window matching unit is used for carrying out detection window matching based on the communication duration requirement to obtain a detection window matching result;
the performance evaluation execution unit is used for performing performance evaluation on the communication performance rating result through the communication performance requirement to generate a performance evaluation result;
and the interference signal acquisition unit is used for controlling the intelligent analysis device to acquire interference signals based on the monitoring window matching result and the performance evaluation result.
In one embodiment, the system further comprises:
the characteristic cycle analysis unit is used for obtaining an interference source characteristic extraction result and carrying out characteristic cycle analysis on the characteristic extraction result based on a time axis;
the cyclic period fitting unit is used for performing cyclic period fitting according to the time axis and the characteristic extraction result when the characteristic of the interference source is judged to be cyclic characteristic, so as to obtain a cyclic period fitting result;
the fitting result identification unit is used for obtaining characteristic fluctuation information of each node in the cyclic period fitting process, and carrying out fluctuation identification on the cyclic period fitting result based on the characteristic fluctuation information;
and the interference source positioning unit is used for constructing an interference source characteristic tag based on the cyclic period fitting result with the fluctuation identification to finish the interference source positioning.
In one embodiment, the system further comprises:
the information statistics execution unit is used for carrying out statistics on the fluctuation amplitude and the fluctuation frequency of the characteristic fluctuation information to obtain a statistical result;
the characteristic initialization execution unit is used for initializing fluctuation analysis characteristics according to the cycle times in the cycle period fitting result;
the fluctuation identification generation unit is used for generating fluctuation identification information according to the initialized fluctuation analysis characteristics and the statistical result;
and the fluctuation identification executing unit is used for completing the fluctuation identification of the cyclic period fitting result through the fluctuation identification information.
In one embodiment, the system further comprises:
the monitoring window expansion unit is used for carrying out window expansion on the monitoring window matching result when the characteristics of the interference source are judged to be non-cyclic characteristics, so as to obtain an expanded monitoring window;
the interference signal acquisition unit is used for controlling the intelligent analysis device to acquire interference signals based on the extended monitoring window and generating an extended interference signal acquisition result;
and the interference source positioning unit is used for completing interference source positioning based on the expanded interference signal acquisition result and the interference signal acquisition result.
In one embodiment, the system further comprises:
a verification window setting unit for setting a monitoring verification window;
the monitoring result generation unit is used for carrying out communication monitoring on wireless communication for executing intelligent scheduling and control based on the monitoring verification window, and generating a communication monitoring result;
and the scheduling control optimizing unit is used for performing scheduling control optimization of wireless communication resource scheduling according to the communication monitoring result.
In one embodiment, the system further comprises:
the monitoring result analysis unit is used for carrying out result analysis on the communication monitoring result to obtain an interference source monitoring result and a communication abnormality monitoring result;
the anomaly comparison execution unit is used for carrying out anomaly comparison based on the interference source monitoring result and the interference source positioning result to obtain an anomaly comparison result;
a communication abnormality evaluation unit for performing communication abnormality evaluation based on the communication abnormality monitoring result and the communication demand information to obtain a communication abnormality evaluation result;
and the scheduling control optimization unit is used for performing scheduling control optimization of wireless communication resource scheduling according to the abnormal comparison result and the communication abnormal evaluation result.
For a specific embodiment of a remote module-based public network wireless communication resource scheduling system, reference may be made to the above embodiment of a remote module-based public network wireless communication resource scheduling method, which is not described herein. The above-mentioned modules in a remote module-based public network wireless communication resource scheduling device may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a remote module-based method for scheduling public network wireless communication resources.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: connecting the remote interaction device with a public network wireless communication network to obtain real-time communication data, and collecting and obtaining communication demand information; performing data analysis on the real-time communication data, and grading communication performance according to a data analysis result to generate a communication performance grading result; controlling the intelligent analysis device to collect interference signals according to the communication performance rating result, and executing signal analysis on the interference signal collection result; extracting interference source characteristics based on a signal analysis result, constructing an interference source characteristic label, and completing interference source positioning; inputting the communication demand information and the interference source positioning result into a scheduling control model, and outputting a scheduling control result; and performing intelligent scheduling and control of wireless communication according to the scheduling control result.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (9)
1. The public network wireless communication resource scheduling method based on the remote module is characterized by being applied to an intelligent control system, wherein the intelligent control system is in communication connection with a remote interaction device and an intelligent analysis device, and the method comprises the following steps:
connecting the remote interaction device with a public network wireless communication network to obtain real-time communication data, and collecting and obtaining communication demand information;
performing data analysis on the real-time communication data, and grading communication performance according to a data analysis result to generate a communication performance grading result;
controlling the intelligent analysis device to collect interference signals according to the communication performance rating result, and executing signal analysis on the interference signal collection result;
extracting interference source characteristics based on a signal analysis result, constructing an interference source characteristic label, and completing interference source positioning;
inputting the communication demand information and the interference source positioning result into a scheduling control model, and outputting a scheduling control result, wherein the scheduling control result is a scheduling control parameter for shielding an interference signal generated by an interference source;
performing intelligent scheduling and control of wireless communication according to the scheduling control result;
the method further comprises the steps of:
carrying out demand analysis on the communication demand information to obtain a communication duration demand and a communication performance demand;
performing monitoring window matching based on the communication duration requirement to obtain a monitoring window matching result;
performing performance evaluation on the communication performance rating result through the communication performance requirement to generate a performance evaluation result;
and controlling the intelligent analysis device to acquire interference signals based on the monitoring window matching result and the performance evaluation result.
2. The method of claim 1, wherein the method comprises:
obtaining an interference source feature extraction result, and carrying out feature cycle analysis on the feature extraction result based on a time axis;
when the characteristics of the interference source are judged to be the cyclic characteristics, carrying out cyclic period fitting according to the time axis and the characteristic extraction result to obtain a cyclic period fitting result;
obtaining characteristic fluctuation information of each node in a cyclic period fitting process, and carrying out fluctuation identification on the cyclic period fitting result based on the characteristic fluctuation information;
and constructing an interference source characteristic tag based on the cyclic period fitting result with the fluctuation identification, and completing interference source positioning.
3. The method according to claim 2, wherein the method comprises:
carrying out fluctuation amplitude and fluctuation frequency statistics on the characteristic fluctuation information to obtain a statistical result;
initializing fluctuation analysis features according to the cycle times in the cycle period fitting result;
generating fluctuation identification information according to the initialized fluctuation analysis characteristics and the statistical result;
and finishing the fluctuation identification of the cyclic period fitting result through the fluctuation identification information.
4. A method according to claim 3, wherein the method comprises:
when the feature of the interference source is judged to be the non-cyclic feature, window expansion is carried out on the monitoring window matching result, and an expanded monitoring window is obtained;
controlling the intelligent analysis device to collect interference signals based on the extended monitoring window, and generating an extended interference signal collection result;
and completing the positioning of the interference source based on the expanded interference signal acquisition result and the interference signal acquisition result.
5. The method of claim 1, wherein the method comprises:
setting a monitoring verification window;
performing communication monitoring on wireless communication for performing intelligent scheduling and control based on the monitoring verification window, and generating a communication monitoring result;
and carrying out scheduling control optimization of wireless communication resource scheduling according to the communication monitoring result.
6. The method of claim 5, wherein the method comprises:
carrying out result analysis on the communication monitoring result to obtain an interference source monitoring result and a communication abnormity monitoring result;
performing anomaly comparison based on the interference source monitoring result and the interference source positioning result to obtain an anomaly comparison result;
performing communication abnormality evaluation based on the communication abnormality monitoring result and the communication demand information to obtain a communication abnormality evaluation result;
and carrying out scheduling control optimization of wireless communication resource scheduling according to the abnormal comparison result and the communication abnormal evaluation result.
7. A remote module-based public network wireless communication resource scheduling system, the system comprising:
the communication demand acquisition module is used for connecting the remote interaction device with a public network wireless communication network, acquiring real-time communication data and acquiring communication demand information;
the communication performance rating module is used for carrying out data analysis on the real-time communication data, and carrying out communication performance rating according to a data analysis result to generate a communication performance rating result;
the interference signal acquisition module is used for controlling the intelligent analysis device to acquire interference signals according to the communication performance rating result and executing signal analysis on the interference signal acquisition result;
the signal analysis processing module is used for extracting the interference source characteristics based on the signal analysis result, constructing an interference source characteristic label and completing the positioning of the interference source;
the scheduling control output module is used for inputting the communication demand information and the interference source positioning result into a scheduling control model and outputting a scheduling control result, wherein the scheduling control result is a scheduling control parameter for shielding an interference signal generated by an interference source;
the scheduling control execution module is used for performing intelligent scheduling and control of wireless communication according to the scheduling control result;
the communication demand analysis unit is used for carrying out demand analysis on the communication demand information to obtain a communication duration demand and a communication performance demand;
the detection window matching unit is used for carrying out detection window matching based on the communication duration requirement to obtain a detection window matching result;
the performance evaluation execution unit is used for performing performance evaluation on the communication performance rating result through the communication performance requirement to generate a performance evaluation result;
and the interference signal acquisition unit is used for controlling the intelligent analysis device to acquire interference signals based on the monitoring window matching result and the performance evaluation result.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102083090A (en) * | 2009-11-27 | 2011-06-01 | 中国移动通信集团北京有限公司 | Method and device for positioning interference source |
| CN108738057A (en) * | 2018-05-31 | 2018-11-02 | 深圳市零度智控科技有限公司 | Automatic Anti-interference wireless communications method, system, server and storage medium |
| CN108810952A (en) * | 2018-09-06 | 2018-11-13 | 桂林电子科技大学 | A kind of wireless communication signals interference prevention efficiency check and evaluation System and method for |
| WO2020024459A1 (en) * | 2018-08-01 | 2020-02-06 | 南京邮电大学 | Video live broadcast system based on double-layer drive interference coordination, and implementation method therefor |
| CN111585671A (en) * | 2020-04-15 | 2020-08-25 | 国网河南省电力公司郑州供电公司 | Electric power LTE wireless private network electromagnetic interference monitoring and identifying method |
| CN112285786A (en) * | 2020-10-15 | 2021-01-29 | 桂林电子科技大学 | Method for improving exploration depth based on ultrahigh-density electrical method equipment |
| CN112800789A (en) * | 2021-01-12 | 2021-05-14 | 大唐微电子技术有限公司 | System and method for detecting interference signal |
| WO2022029197A1 (en) * | 2020-08-05 | 2022-02-10 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Interference detection and handling |
| CN114034296A (en) * | 2021-11-05 | 2022-02-11 | 北京航空航天大学 | Navigation signal interference source detection and identification method and system |
| CN115098272A (en) * | 2022-08-29 | 2022-09-23 | 创新奇智(青岛)科技有限公司 | GPU resource scheduling method, scheduler, electronic device and storage medium |
| CN115250484A (en) * | 2021-04-26 | 2022-10-28 | 华为技术有限公司 | Interference elimination method and device |
| CN115514391A (en) * | 2022-11-16 | 2022-12-23 | 飞芯智控(西安)科技有限公司 | High-speed frequency hopping anti-interference method, device and storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9266558B2 (en) * | 2010-09-15 | 2016-02-23 | GM Global Technology Operations LLC | Methods, systems and apparatus for steering wheel vibration reduction in electric power steering systems |
| CA3091386A1 (en) * | 2018-03-09 | 2019-09-12 | Daniel F. Difonzo | Dynamic interference reduction for antenna beam tracking systems |
| US20220353007A1 (en) * | 2021-04-29 | 2022-11-03 | L3Harris Technologies, Inc. | Interference detection and coarse parameter estimation using learned and inferred baseline information |
-
2023
- 2023-03-07 CN CN202310208908.0A patent/CN116056244B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102083090A (en) * | 2009-11-27 | 2011-06-01 | 中国移动通信集团北京有限公司 | Method and device for positioning interference source |
| CN108738057A (en) * | 2018-05-31 | 2018-11-02 | 深圳市零度智控科技有限公司 | Automatic Anti-interference wireless communications method, system, server and storage medium |
| WO2020024459A1 (en) * | 2018-08-01 | 2020-02-06 | 南京邮电大学 | Video live broadcast system based on double-layer drive interference coordination, and implementation method therefor |
| CN108810952A (en) * | 2018-09-06 | 2018-11-13 | 桂林电子科技大学 | A kind of wireless communication signals interference prevention efficiency check and evaluation System and method for |
| CN111585671A (en) * | 2020-04-15 | 2020-08-25 | 国网河南省电力公司郑州供电公司 | Electric power LTE wireless private network electromagnetic interference monitoring and identifying method |
| WO2022029197A1 (en) * | 2020-08-05 | 2022-02-10 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Interference detection and handling |
| CN112285786A (en) * | 2020-10-15 | 2021-01-29 | 桂林电子科技大学 | Method for improving exploration depth based on ultrahigh-density electrical method equipment |
| CN112800789A (en) * | 2021-01-12 | 2021-05-14 | 大唐微电子技术有限公司 | System and method for detecting interference signal |
| CN115250484A (en) * | 2021-04-26 | 2022-10-28 | 华为技术有限公司 | Interference elimination method and device |
| CN114034296A (en) * | 2021-11-05 | 2022-02-11 | 北京航空航天大学 | Navigation signal interference source detection and identification method and system |
| CN115098272A (en) * | 2022-08-29 | 2022-09-23 | 创新奇智(青岛)科技有限公司 | GPU resource scheduling method, scheduler, electronic device and storage medium |
| CN115514391A (en) * | 2022-11-16 | 2022-12-23 | 飞芯智控(西安)科技有限公司 | High-speed frequency hopping anti-interference method, device and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 舰船电气设备运行干扰信号实时监测方法;王俊平;;舰船科学技术(18);全文 * |
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