Signal quality control method and device for communication device in multi-magnetic environment, and medium

Abstract

The invention relates to a signal quality control method of communication equipment in a multi-magnetic environment, electronic equipment and a medium, and the method comprises the steps: arranging a plurality of non-magnetic sensors for a transmission medium at intervals, and combining the non-magnetic sensors to form a multi-mode sensor array, the magnetic field intensity in the multi-magnetic environment where the transmission medium is located and the signal performance of a network node to which the transmission medium belongs are collected at the same time, and the magnetic field intensity is obtained through a sensor arranged outside the transmission medium; acquiring signal transmission quality at two ends of a communication channel, and enabling the signal quality of the communication channel to be optimal by adjusting the signal performance of the multi-mode sensor array and the network node; and switching a transmission path formed by a transmission medium and a network node of the communication channel according to the parameter condition under the optimal signal quality of the communication channel so as to control the signal quality.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a method, device and medium for controlling signal quality of communication equipment in multi-magnetic environments. Background Technology

[0002] Multi-magnetic environments refer to scenarios where multiple magnetic fields of varying intensities exist. Examples include the magnetic fields generated by communication devices of different intensities during communication, the Earth's surface magnetic field, the vicinity of large medical imaging equipment (such as MRI), and the complex magnetic field environment created by large electromagnets used in laboratories. Additionally, some strong radiation environments refer to scenarios with high-intensity electromagnetic radiation, including ionizing radiation (such as X-rays and gamma rays), radio frequency radiation (such as microwaves and radar), and electromagnetic wave radiation.

[0003] The effects on signals vary under different magnetic field environments. For example, strong magnetic and strong radiation environments can weaken signal quality, and end-to-end signal transmission will be affected in terms of signal amplitude, frequency, signal-to-noise ratio, time domain and frequency domain characteristics.

[0004] Therefore, how to control signals in complex magnetic field environments has become an urgent problem to be solved, and there is currently no method or device in the industry that can solve this problem. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a method, device and medium for signal quality control of communication devices in multi-magnetic environments.

[0006] To achieve the above objectives, the present invention provides a method for signal quality control of communication devices in multi-magnetic environments, comprising: Several non-magnetic sensors are spaced apart on the transmission medium, and the non-magnetic sensors are combined to form a multi-mode sensor array. At the same time, the magnetic field strength in the multi-magnetic environment in which the transmission medium is located and the signal performance of the network node to which the transmission medium belongs are collected. The magnetic field strength is obtained by a sensor set outside the transmission medium. The signal transmission quality at both ends of the communication channel is obtained, and the signal performance of the multimodal sensor array and the network node is adjusted to optimize the signal quality of the communication channel. Based on the parameter conditions under which the signal quality of the communication channel is optimal, the transmission medium and the transmission path formed by the network nodes of the communication channel are switched to achieve signal quality control.

[0007] Another objective of this invention is a method for controlling the signal quality of communication devices in multi-magnetic environments. This method establishes a communication channel quality model, calculates the input magnetic field strength, multi-modal sensor array data, and network node signal performance according to a preset path optimization algorithm, and outputs the parameter conditions for optimal signal quality.

[0008] Another objective of this invention is a signal quality control method for communication devices in multi-magnetic environments, which optimizes the sensing strategy of a multi-modal sensor array to optimize the sampling rate and sensitivity of the multi-modal sensor array.

[0009] Another objective of this invention is a method for controlling the signal quality of a communication device in a multi-magnetic environment. In this method, at least two transmission media are used in the communication channel. The optical signal at the input end of the communication channel is transmitted using optical fiber, and the electrical signal at the input end of the communication channel is transmitted using multi-layer shielded cable. Several non-magnetic sensors are spaced apart in the multi-layer shielded cable.

[0010] A signal quality control method for a communication device in a multi-magnetic environment, based on another objective of the present invention, further includes: Obtain the parameter conditions under which the signal quality of the communication channel is optimal; A path switching flow table is sent to the input terminal of the communication channel to switch the signals transmitted by the communication channel between transmission media, and to make the signals input to the input terminal of the communication channel compatible with the path switching flow table.

[0011] A signal quality control method for a communication device in a multi-magnetic environment, based on another objective of the present invention, further includes: The transmission medium is first identified using each of the non-magnetic sensors to sense the signal transmission quality of the transmission medium between the two non-magnetic sensors. After the transmission path is switched, the transmission medium is identified a second time using each of the non-magnetic sensors. Based on the threshold judgments of the magnetic field strength and the signal performance of the network node during the first and second identifications, the changes in the multimagnetic environment of the transmission medium between the two non-magnetic sensors are marked.

[0012] A signal quality control method for a communication device in a multi-magnetic environment, based on another objective of the present invention, further includes: The signal transmission quality at both ends of the communication channel is obtained, and the confidence weights of the parameters related to the communication channel quality model are applied in combination with the real-time environmental data inside the communication channel.

[0013] Another objective of this invention is a method for controlling the signal quality of a communication device in a multi-magnetic environment, wherein the signal at the output end of the communication channel is subjected to anti-interference modulation.

[0014] In a second aspect, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-described method.

[0015] Thirdly, the present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the above-described method.

[0016] As can be seen from the above, the signal quality control method, device and medium for communication devices in multi-magnetic environments provided by the present invention avoids signal transmission problems by actively sensing the magnetic field strength and optimizing the signal transmission path and transmission mode, thereby improving the signal quality and reliability in complex multi-magnetic environments. Furthermore, with the help of a multi-modal sensor array, it achieves dynamic network node transmission optimization, possesses the ability to sense multi-magnetic environments, and enhances the resilience and intelligence of network transmission. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only embodiments of this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a basic flowchart illustrating the signal quality control method for communication equipment in a multi-magnetic environment according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the basic structure of an electronic device for operating the signal quality control method of a communication device in a multi-magnetic environment, as described in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0020] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this invention should have the ordinary meaning understood by those skilled in the art. The terms "first," "second," and similar terms used in the embodiments of this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "include" or "comprising" mean that the element or object preceding the term covers the element or object listed after the term and its equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "up," "down," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0021] This invention provides a signal quality control method for communication devices in multi-magnetic environments. It is mainly applied to electrical signal transmission in multi-magnetic environments, especially in composite transmission processes involving both electrical and optical signals. To ensure that the signal transmission quality between ends is not affected by the multi-magnetic environment, the method specifically includes the following steps: In step 110, several non-magnetic sensors are spaced apart on the transmission medium. The non-magnetic sensors are combined to form a multi-mode sensor array. At the same time, the magnetic field strength in the multi-magnetic environment where the transmission medium is located and the signal performance of the network node to which the transmission medium belongs are collected. The magnetic field strength is obtained by a sensor set outside the transmission medium. The non-magnetic sensor is a sensor that does not generate a magnetic field and has extremely low magnetic field sensitivity. Because it is in a complex magnetic environment, the sensor's own magnetism is not affected, which can ensure the authenticity of its measurement value. The transmission medium is set according to the different transmission signals, such as optical fiber, copper wire, cable, twisted pair, etc. The multi-mode sensor array can not only measure the magnetic field strength of the transmission medium, but also measure other parameters related to signal performance, such as the measurement of the material of the transmission medium and the measurement of the type of transmission signal.

[0022] The network composed of the transmission medium includes several network nodes, and the signal performance of each network node may be different. The non-magnetic sensors are deployed in the network at certain spatial intervals. Regardless of changes in the magnetic field at various points in the network, the rate of change and positioning accuracy of the multimodal sensor array are not affected.

[0023] The magnetic field strength in a multi-magnetic environment can be obtained through external sensors. The signal performance of the network node to which the transmission medium belongs can be measured by the sensors of the network node. In specific implementation scenarios, each of the sensors can also measure the change data under specific mixed or abnormal external scenarios, such as the impact of abnormal magnetic field access on the transmission medium. Under such abnormal changes (the proximity of a high-power power supply can cause abnormal changes in a certain magnetic field, etc.), the existing transmission mode does not need to be interrupted or changed, but only the transmission path can be optimized based on the measurement of the above scheme.

[0024] Continuous measurements from external sensors allow performance data to be queried and obtained from the nearest network node via network transmission protocols.

[0025] In step 120, the signal transmission quality at both ends of the communication channel is obtained, and the signal quality of the communication channel is optimized by adjusting the signal performance of the multimodal sensor array and the network node. Signal transmission at both ends of the communication channel can be achieved by deploying a non-magnetic sensor array along the physical link, which can simultaneously collect electromagnetic environment data and network performance data. Big data analysis can be used to establish a spatiotemporal correlation between physical interference and performance degradation, build an accurate causal model, and pinpoint the problem to a specific location in a physical space of the transmission medium. By adjusting the signal performance of the multimodal sensor array and the network nodes, dynamic adjustments can be made to ensure that the signal quality of the communication channel is optimized regardless of any changes in magnetic induction that occur in a multi-magnetic environment.

[0026] In step 130, the transmission medium and transmission path formed by the network nodes of the communication channel are switched according to the parameter conditions under which the signal quality of the communication channel is optimal, so as to control the signal quality.

[0027] Each parameter condition for optimal signal quality in the communication channel is configurable and can be adjusted by the central control system to allow various signals to select transmission media, network nodes, etc., to achieve new transmission paths.

[0028] The signal quality control method of the communication device of the present invention in a multi-magnetic environment avoids signal transmission problems by actively sensing the magnetic field strength and optimizing the signal transmission path and transmission mode, thereby improving the signal quality and reliability in complex multi-magnetic environments. Furthermore, with the help of a multi-modal sensor array, it realizes dynamic network node transmission optimization, has the ability to sense multi-magnetic environments, and improves the resilience and intelligence of network transmission.

[0029] In one feasible embodiment of the exemplary embodiment of the present invention, a signal quality control method for communication devices in multi-magnetic environments is provided. The method establishes a communication channel quality model, calculates the input magnetic field strength, multi-modal sensor array data, and signal performance of network nodes according to a preset path optimization algorithm, and outputs the parameter conditions for optimal signal quality.

[0030] This paper describes a digital twin network that integrates two different modalities of data—environmental perception and communication performance indicators—without magnetic sensors to construct a communication channel quality model. This model is driven by real-time data. The input magnetic field strength, multimodal sensor array data, and signal performance of network nodes are input in the form of multidimensional data vectors. By extracting and integrating relevant features, a path optimization algorithm is constructed to evaluate and predict the network transmission quality under specific environments. The purpose of this model is to find the optimal parameters for predicting quality, including the optimization of network nodes and the selection of transmission media.

[0031] In one feasible embodiment of an exemplary embodiment of the present invention, the sensing strategy of a multimodal sensor array is optimized to optimize the sampling rate and sensitivity of the multimodal sensor array.

[0032] The sensing strategy of a multimodal sensor array belongs to the physical layer sensing. Due to the large number of non-magnetic sensors, the magnetic field strength sensed at different locations in the same physical space will be different, and the output results after being input into the communication channel quality model will also be different. Therefore, the sensing strategy of the multimodal sensor array needs to be optimized to a certain extent in order to optimize the sampling rate and sensitivity of the multimodal sensor array. Specifically, a feedback sensing method can be adopted. For example, if the signal quality decreases after adjusting the parameter conditions output by the communication channel quality model, the sensing strategy of the input multimodal sensor array needs to be re-optimized in order to improve the signal quality after the final parameter conditions are adjusted.

[0033] In one feasible embodiment of an exemplary embodiment of the present invention, at least two transmission media are used in the communication channel. The optical signal at the input end of the communication channel is transmitted using optical fiber, and the electrical signal at the input end of the communication channel is transmitted using multi-layer shielded cable. Several non-magnetic sensors are spaced apart in the multi-layer shielded cable.

[0034] The availability of various transmission media and the ability to switch transmission signals during transmission necessitates that the system of this invention be implemented from the outset to cope with complex multi-magnetic environments.

[0035] In one feasible embodiment of an exemplary embodiment of the present invention, it further includes: Obtain the parameter conditions under which the signal quality of the communication channel is optimal; A path switching flow table is sent to the input terminal of the communication channel to switch the signals transmitted by the communication channel between transmission media, and to make the signals input to the input terminal of the communication channel compatible with the path switching flow table.

[0036] When the parameters are distributed to each network node, they are implemented in the form of a path switching flow table, which includes the specific switching objects and the adaptation method of the parameters.

[0037] In one feasible embodiment of an exemplary embodiment of the present invention, it further includes: The transmission medium is first identified using each of the non-magnetic sensors to sense the signal transmission quality of the transmission medium between the two non-magnetic sensors. After the transmission path is switched, the transmission medium is identified a second time using each of the non-magnetic sensors. Based on the threshold judgments of the magnetic field strength and the signal performance of the network node during the first and second identifications, the changes in the multimagnetic environment of the transmission medium between the two non-magnetic sensors are marked.

[0038] By marking network nodes in multi-magnetic environments, parameter adaptation can be performed by switching according to the markings. In some scenarios where manual switching of transmission media is required, the meaning of the markings can also be used to make simple switching, avoiding switching errors.

[0039] The identification-perception-labeling approach transforms the overall perception process of the system into a separate intelligent judgment process with diagnostic capabilities. For higher-level signal quality control, the overall signal quality control method is no longer a reflexive control of a single network node, but rather focuses more on the overall signal quality judgment.

[0040] In one feasible embodiment of an exemplary embodiment of the present invention, it further includes: The signal transmission quality at both ends of the communication channel is obtained, and the confidence weights of the parameters related to the communication channel quality model are applied in combination with the real-time environmental data inside the communication channel.

[0041] There are multiple different communication channels between different network nodes. Different communication channels correspond to different communication terminals, and different communication terminals have different requirements for signal transmission quality. Confidence weighting based on real-time environmental data allows different weighting methods to help different communication terminals find the communication quality that meets their requirements, while ensuring the overall signal quality control of the network.

[0042] Another objective of this invention is a signal quality control method for communication devices in multi-magnetic environments, wherein the signal at the output end of the communication channel is subjected to anti-interference modulation. Anti-interference modulation can further ensure the overall network's signal quality requirements are met and that signal quality output is optimized.

[0043] It should be noted that the method of this embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this embodiment, and the multiple devices will interact with each other to complete the method described.

[0044] It should be noted that the above description describes some embodiments of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than that shown in the above embodiments and still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0045] For ease of description, the above apparatus is described in terms of its functions, divided into various modules. Of course, in implementing this invention, the functions of each module can be implemented in one or more software and / or hardware components.

[0046] Figure 2 This embodiment illustrates a more specific hardware structure of an electronic device, which may include a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, memory 1020, input / output interface 1030, and communication interface 1040 are interconnected internally via the bus 1050.

[0047] The processor 1010 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0048] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0049] The input / output interface 1030 is used to connect input / output modules to realize information input and output. Input / output modules can be configured as components within the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touchscreens, microphones, various sensors, etc., while output devices may include displays, speakers, vibrators, indicator lights, etc.

[0050] The communication interface 1040 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0051] Bus 1050 includes a pathway for transmitting information between various components of the device, such as processor 1010, memory 1020, input / output interface 1030, and communication interface 1040.

[0052] It should be noted that although the above-described device only shows the processor 1010, memory 1020, input / output interface 1030, communication interface 1040, and bus 1050, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0053] The electronic devices described above are used to implement the signal quality control method of the corresponding communication device in a multi-magnetic environment in any of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0054] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, the present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the signal quality control method of the communication device in a multi-magnetic environment as described in any of the above embodiments.

[0055] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0056] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to execute the signal quality control method of the communication device in a multi-magnetic environment as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0057] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples; within the framework of the invention, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the embodiments of the invention as described above, which are not provided in the details for the sake of brevity.

[0058] Additionally, to simplify the description and discussion, and to avoid obscuring the embodiments of the invention, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. Furthermore, the apparatus may be shown in block diagram form to avoid obscuring the embodiments of the invention, and this also takes into account the fact that the details of implementation of these block diagram apparatuses are highly dependent on the platform on which the embodiments of the invention will be implemented (i.e., these details should be fully understood by those skilled in the art). While specific details (e.g., circuits) have been set forth to describe exemplary embodiments of the invention, it will be apparent to those skilled in the art that the embodiments of the invention may be implemented without these specific details or with variations thereof. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0059] Although the invention has been described in conjunction with specific embodiments thereof, many substitutions, modifications, and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed.

[0060] The embodiments of this invention are intended to cover all such substitutions, modifications, and variations falling within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of this invention should be included within the protection scope of this invention.

Claims

1. A method for signal quality control of communication equipment in multi-magnetic environments, characterized in that, include: Several non-magnetic sensors are spaced apart on the transmission medium, and the non-magnetic sensors are combined to form a multi-mode sensor array. At the same time, the magnetic field strength in the multi-magnetic environment in which the transmission medium is located and the signal performance of the network node to which the transmission medium belongs are collected. The magnetic field strength is obtained by a sensor set outside the transmission medium. The signal transmission quality at both ends of the communication channel is obtained, and the signal performance of the multimodal sensor array and the network node is adjusted to optimize the signal quality of the communication channel. Based on the parameter conditions under which the signal quality of the communication channel is optimal, the transmission medium and the transmission path formed by the network nodes of the communication channel are switched to achieve signal quality control.

2. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 1, characterized in that, A communication channel quality model is established, which calculates the optimal output signal quality based on the input magnetic field strength, multi-modal sensor array data, and signal performance of network nodes using a preset path optimization algorithm.

3. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 2, characterized in that, The sensing strategy of the multimodal sensor array is optimized to improve the sampling rate and sensitivity of the multimodal sensor array.

4. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 1, characterized in that, The communication channel employs at least two transmission media. The optical signal at the input end of the communication channel is transmitted using optical fiber, and the electrical signal at the input end of the communication channel is transmitted using multi-layer shielded cable. Several non-magnetic sensors are spaced apart in the multi-layer shielded cable.

5. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 1, characterized in that, Also includes: Obtain the parameter conditions under which the signal quality of the communication channel is optimal; A path switching flow table is sent to the input end of the communication channel to switch the signals transmitted by the communication channel between transmission media, and to make the signals input to the input end of the communication channel compatible with the path switching flow table.

6. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 1, characterized in that, Also includes: The transmission medium is first identified using each of the non-magnetic sensors to sense the signal transmission quality of the transmission medium between the two non-magnetic sensors. After the transmission path is switched, the transmission medium is identified a second time using each of the non-magnetic sensors. Based on the threshold judgments of the magnetic field strength and the signal performance of the network node during the first and second identifications, the changes in the multimagnetic environment of the transmission medium between the two non-magnetic sensors are marked.

7. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 2, characterized in that, Also includes: The signal transmission quality at both ends of the communication channel is obtained, and the confidence weights of the parameters related to the communication channel quality model are applied in combination with the real-time environmental data inside the communication channel.

8. The signal quality control method for communication equipment in a multi-magnetic environment according to claim 2, characterized in that, The signal at the output of the communication channel is subjected to anti-interference modulation.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the signal quality control method for a communication device in a multi-magnetic environment as described in any one of claims 1 to 8.

10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the signal quality control method of the communication device according to any one of claims 1 to 8 in a multi-magnetic environment.

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