Low-voltage power line carrier communication method and system based on multi-band cooperative modulation

Abstract

The invention discloses a low-voltage power line carrier communication method and system based on multi-band cooperative modulation, and relates to the technical field of carrier communication, and the method comprises the steps: obtaining channel state information and service type information; constructing a channel power model according to the channel state information and performing calculation to obtain a transmitting power distribution value of a frequency band; performing preliminary allocation on frequency bands based on the service type information and the transmitting power allocation value to obtain a first frequency band allocation strategy; and optimizing the first frequency band allocation strategy to obtain a second frequency band allocation strategy, thereby realizing low-voltage power line carrier communication based on multi-frequency-band cooperative modulation. According to the method, the communication reliability of the system in a high-noise and strong-interference environment is improved, the service quality assurance capability for services with different priorities is enhanced, dynamic optimization and balanced utilization of spectrum resources are realized, and an efficient and reliable communication solution is provided for application scenes such as a smart power grid and smart home.

Description

Technical Field

[0001] The present invention relates to the field of carrier communication technology, and in particular to a low-voltage power line carrier communication method and system based on multi-band coordinated modulation. Background Art

[0002] With the rapid development of smart grid and Internet of Things technologies, low-voltage power line carrier communication, as a technology that uses existing power line infrastructure for data transmission, has been widely used in multiple fields such as power metering, distribution automation, demand-side management and smart home due to its advantages of no need for additional wiring, wide coverage and high cost-effectiveness. Traditional low-voltage power line carrier communication technology mainly relies on a single frequency band and fixed modulation method for data transmission, such as narrowband PLC and broadband PLC. In recent years, with the diversification and complexity of communication needs, researchers have gradually turned their attention to communication strategies for multi-band collaborative operation, in order to provide more robust communication performance in the complex and changeable low-voltage power line channel environment. However, the existing multi-band PLC technology still faces significant challenges in frequency band allocation, power control and coordinated optimization of modulation methods, especially when considering the time-varying characteristics of the channel, various interference sources and differentiated business needs, there is a lack of systematic solutions.

[0003] Existing low-voltage power line carrier communication technology faces multiple technical bottlenecks in practical applications: first, the highly time-varying and nonlinear characteristics of the power line channel lead to unstable signal transmission quality, and the current technology lacks the ability to accurately model and adapt to channel status in real time; second, frequency band resource allocation usually adopts a static preset strategy, which cannot be intelligently adjusted according to dynamic channel conditions and diversified business needs, resulting in low spectrum utilization efficiency; third, the existing power allocation algorithm fails to fully consider the synergistic effects of multi-dimensional channel parameters such as signal-to-noise ratio, attenuation characteristics and interference level, making it difficult to achieve optimal transmission efficiency; finally, the differentiated service quality requirements of different priority services are not effectively met, especially in the case of network congestion, there is a lack of adaptive resource adjustment mechanism; these technical deficiencies have seriously restricted the promotion of low-voltage power line carrier communication in high-reliability, low-latency application scenarios. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the present invention provides a low-voltage power line carrier communication method based on multi-band collaborative modulation, which can solve the problems mentioned in the background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, an embodiment of the present invention provides a low-voltage power line carrier communication method based on multi-band collaborative modulation, which includes obtaining channel state information and service type information; constructing a channel power model according to the channel state information and performing calculations to obtain a transmission power allocation value of the frequency band; preliminarily allocating the frequency band based on the service type information and the transmission power allocation value to obtain a first frequency band allocation strategy; optimizing the first frequency band allocation strategy to obtain a second frequency band allocation strategy to realize low-voltage power line carrier communication based on multi-band collaborative modulation.

[0008] As a preferred solution of the low-voltage power line carrier communication method based on multi-band collaborative modulation described in the present invention, wherein: the channel state information includes the signal-to-noise ratio, attenuation characteristics and interference level of the frequency band; the service type information includes high priority service, medium priority service and low priority service.

[0009] As a preferred solution of the low-voltage power line carrier communication method based on multi-band cooperative modulation described in the present invention, wherein: the construction of the channel power model and calculation to obtain the transmission power allocation value of the frequency band includes the following steps: by using a nonlinear response model to describe the nonlinear characteristics between the signal-to-noise ratio and the transmission power, and combining the influence of the attenuation characteristics on the power allocation, the initial channel power model is obtained, and the specific formula is as follows: ; in, The initial frequency band The transmission power allocation value of For frequency band signal-to-noise ratio; The adjustment coefficient of signal-to-noise ratio on power allocation; is the exponential coefficient of the attenuation effect on power allocation; For frequency band The attenuation characteristics of is the adjustment coefficient of the attenuation characteristic on the nonlinear response of power allocation; the initial channel power model is adjusted by using the influence of the interference level on the power allocation. The specific formula of the influence of the interference level on the power allocation is as follows: ; in, The adjustment factor of power allocation for interference; For frequency band The level of interference; For frequency band signal-to-noise ratio; is the nonlinear influence coefficient of the ratio of interference to signal-to-noise ratio on power allocation; the time factor is introduced into the initial channel power model, and the dynamic change of the signal is smoothed by the Sigmoid function to obtain the time variation factor. The specific formula of the time variation factor is as follows: ; in, To adjust the influence coefficient of time factor on power distribution; is the adjustment coefficient of time response; is the time factor; the initial channel power model, the influence of the interference level on the power allocation and the time variation factor are combined to obtain the channel power model.

[0010] As a preferred solution of the low-voltage power line carrier communication method based on multi-band cooperative modulation described in the present invention, the specific formula of the channel power model is as follows: ; in, For frequency band The transmission power allocation value of For frequency band signal-to-noise ratio; The adjustment coefficient of signal-to-noise ratio on power allocation; is the exponential coefficient of the attenuation effect on power allocation; For frequency band The attenuation characteristics of is the adjustment coefficient of the attenuation characteristic to the nonlinear response of the power distribution; The adjustment factor of power allocation for interference; For frequency band The level of interference; is the nonlinear influence coefficient of the ratio of interference to signal-to-noise ratio on power allocation; To adjust the influence coefficient of time factor on power distribution; is the adjustment coefficient of time response; is the time factor.

[0011] As a preferred solution of the low-voltage power line carrier communication method based on multi-band collaborative modulation described in the present invention, wherein: the communication frequency band is preliminarily allocated based on the service type information and the transmission power allocation value, and the first frequency band allocation strategy is obtained, which includes the following steps: an initial judgment is made based on the transmission power allocation value and the service type information. If the transmission power allocation value is greater than the first threshold, the corresponding frequency band is divided into a high-quality frequency band, and the high-priority service is allocated to the high-quality frequency band; if the transmission power allocation value is greater than the second threshold and less than or equal to the first threshold, the corresponding frequency band is divided into a medium-quality frequency band, and the medium-priority service is allocated to the medium-quality frequency band; if the transmission power allocation value is greater than the third threshold and less than or equal to the second threshold, the corresponding frequency band is divided into a low-quality frequency band, and the low-priority service is allocated to the low-quality frequency band; if the transmission power allocation value is less than or equal to the third threshold, the corresponding frequency band is divided into an unavailable frequency band, and no service is allocated.

[0012] As a preferred scheme of the low-voltage power line carrier communication method based on multi-band collaborative modulation described in the present invention, wherein: optimizing the first frequency band allocation strategy to obtain the second frequency band allocation strategy means calculating the network load data of each frequency band respectively for each frequency band allocated by the first frequency band allocation strategy, and then optimizing the first frequency band allocation strategy according to the network load data.

[0013] As a preferred scheme of the low-voltage power line carrier communication method based on multi-band collaborative modulation described in the present invention, wherein: the second frequency band allocation strategy includes: performing secondary judgment based on the network load data of each frequency band, if the network load data of the high-quality frequency band is greater than the high-quality frequency band load threshold, it is determined that the high-quality frequency band load is too high, and the first threshold is increased; if the network load data of the high-quality frequency band is less than M% of the high-quality frequency band load threshold, it is determined that the high-quality frequency band load is too low, and the first threshold is lowered; if the network load data of the high-quality frequency band is greater than or equal to M% of the high-quality frequency band load threshold and less than or equal to the high-quality frequency band load threshold, it remains unchanged; if the network load data of the medium-quality frequency band is greater than the medium-quality frequency band load threshold, it is determined that the medium-quality frequency band load is too high, and the second threshold is increased. value, lower the first threshold; if the network load data of the medium quality frequency band is less than M% of the medium quality frequency band load threshold, it is determined that the medium quality frequency band load is too low, and the second threshold is lowered; if the network load data of the medium quality frequency band is greater than or equal to M% of the medium quality frequency band load threshold and less than or equal to the medium quality frequency band load threshold, it remains unchanged; if the network load data of the low quality frequency band is greater than the low quality frequency band load threshold, it is determined that the low quality frequency band load is too high, the third threshold is increased, and the second threshold is lowered; if the network load data of the low quality frequency band is less than M% of the low quality frequency band load threshold, it is determined that the low quality frequency band load is too low, and the third threshold is lowered; if the network load data of the low quality frequency band is greater than or equal to M% of the low quality frequency band load threshold and less than or equal to the low quality frequency band load threshold, it remains unchanged.

[0014] On the second aspect, in order to further solve the safety problems existing in carrier communications, the present invention provides a low-voltage power line carrier communication system based on multi-band collaborative modulation, which includes: a data acquisition module, used to obtain channel status information and service type information; a power allocation module, used to construct a channel power model according to the channel status information and perform calculations to obtain the transmission power allocation value of the frequency band; an initial allocation module, used to preliminarily allocate the frequency band based on the service type information and the transmission power allocation value to obtain a first frequency band allocation strategy; an allocation optimization module, used to optimize the first frequency band allocation strategy to obtain a second frequency band allocation strategy, so as to realize low-voltage power line carrier communication based on multi-band collaborative modulation.

[0015] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the low-voltage power line carrier communication method based on multi-band collaborative modulation as described in the first aspect of the present invention is implemented.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the low-voltage power line carrier communication method based on multi-band collaborative modulation as described in the first aspect of the present invention.

[0017] Beneficial effects of the invention: The invention proposes a low-voltage power line carrier communication method based on multi-band collaborative modulation, which constructs a dual perception system by synchronously acquiring channel state information and service type information, solves the blind transmission problem of traditional communication, and realizes environmental adaptation and precise response to demand; constructs a comprehensive channel power model integrating nonlinear response, interference influence and time-varying characteristics, and smoothes dynamic parameters through Sigmoid function to realize accurate quantitative allocation of power resources, thereby reducing electromagnetic interference while improving transmission reliability; establishes a mapping relationship between power allocation value and frequency band quality level, and adopts a multi-threshold stratification strategy to divide the frequency band into four quality intervals to realize intelligent matching of service priority and frequency band quality, ensuring that key services obtain high-quality transmission channels; introduces a network load perception mechanism, realizes real-time redistribution of frequency band resources by dynamically adjusting quality threshold parameters, effectively alleviates network congestion, and enables the system to maintain service quality assurance capabilities in high-load scenarios; improves the communication reliability of the system in high-noise and strong-interference environments, enhances the service quality assurance capabilities for services of different priorities, realizes dynamic optimization and balanced utilization of spectrum resources, and provides efficient and reliable communication solutions for application scenarios such as smart grids and smart homes. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them: Figure 1 This is an overall flow chart of the low-voltage power line carrier communication method based on multi-band collaborative modulation in Example 1.

[0019] Figure 2 This is a flow chart of the first frequency band allocation strategy in Example 1.

[0020] Figure 3 This is a flow chart of the second frequency band allocation strategy in Example 1.

[0021] Figure 4 This is a schematic diagram of the structure of the computer device in Example 3. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] Example 1 Reference Figure 1~Figure 3 , which is the first embodiment of the present invention, provides a low-voltage power line carrier communication method based on multi-band collaborative modulation.

[0026] The existing low-voltage power line carrier communication methods mainly have the following problems: first, the highly time-varying and nonlinear characteristics of the power line channel lead to unstable signal transmission quality, and the current technology lacks the ability to accurately model and adapt to the channel state in real time; second, frequency band resource allocation usually adopts a static preset strategy, which cannot be intelligently adjusted according to dynamic channel conditions and diversified business needs, resulting in low spectrum utilization efficiency; third, the existing power allocation algorithm fails to fully consider the synergistic effects of multi-dimensional channel parameters such as signal-to-noise ratio, attenuation characteristics and interference level, making it difficult to achieve optimal transmission efficiency; finally, the differentiated service quality requirements of different priority services are not effectively met, especially in the case of network congestion, there is a lack of adaptive resource adjustment mechanism; these technical deficiencies seriously restrict the promotion of low-voltage power line carrier communication in high-reliability, low-latency application scenarios.

[0027] The present application provides an effective solution to the above-mentioned problems. Next, multiple embodiments will be combined to explain in detail how to implement the low-voltage power line carrier communication method based on multi-band collaborative modulation.

[0028] Figure 1 The overall flow chart of the low-voltage power line carrier communication method based on multi-band cooperative modulation is shown, including: S1: Obtain channel status information and service type information.

[0029] In the embodiment of the present application, the channel state information includes the signal-to-noise ratio, attenuation characteristics and interference level of the frequency band.

[0030] In the embodiment of the present application, the service type information includes high priority service, medium priority service and low priority service.

[0031] Furthermore, obtaining the channel state information includes the following steps: injecting a detection signal into the low-voltage power line, and obtaining a feedback signal of the detection signal after the detection signal is transmitted through the low-voltage power line.

[0032] The detection signal and the feedback signal are compared to calculate the channel parameters of each frequency band, including signal-to-noise ratio, attenuation characteristics and interference level. The specific formula is as follows: ; ; ; in, For frequency band The signal-to-noise ratio is the ratio of signal strength to noise strength; is the power of the feedback signal; is the noise power; For frequency band The attenuation characteristic indicates the degree of attenuation of the signal during transmission; is the attenuation coefficient; is the signal transmission distance; is the decay index; For frequency band The signal-to-noise ratio is the ratio of signal strength to noise strength; For the The weight of the interference source; For the The interference intensity of the interference source; is the number of interference sources.

[0033] In an optional embodiment, a variety of strategies can be adopted to obtain the signal-to-noise ratio, attenuation characteristics and interference level in the channel state information to adapt to the complexity and dynamic change characteristics of the low-voltage power line carrier communication environment; for example, the detection signal and the feedback signal can be analyzed by a machine learning-based method, and the signal-to-noise ratio, attenuation characteristics and interference level can be predicted using a trained model, thereby improving the accuracy of obtaining the channel state information; in addition, the detection signal can be injected at different locations and the feedback signal can be collected by multi-point sampling technology, and the signal-to-noise ratio, attenuation characteristics and interference level can be comprehensively evaluated in combination with spatial distribution characteristics to further improve the accuracy of modeling; no matter which strategy is adopted, it is necessary to ensure that the acquired signal-to-noise ratio, attenuation characteristics and interference level can fully reflect the actual state of the channel, and fully capture the key characteristics of the dynamic change of the channel on the basis of maintaining data consistency; for example, in a low signal-to-noise ratio environment, special attention needs to be paid to the accurate measurement of noise intensity; in a high interference scenario, it is necessary to focus on analyzing the weight of the interference source and its superposition effect. The implementation of these strategies will provide a more reliable basis for subsequent power allocation and frequency band division, thereby significantly improving the overall performance of the system, which is not specifically limited in this embodiment.

[0034] S2: Construct a channel power model based on the channel state information and perform calculations to obtain the transmit power allocation value of the frequency band.

[0035] In the embodiment of the present application, constructing a channel power model and performing calculations to obtain the transmit power allocation value of the frequency band includes the following steps: Since the relationship between the signal-to-noise ratio and the transmit power is not a simple linear relationship, in a low signal-to-noise ratio environment, the response of the power allocation to the signal-to-noise ratio often presents nonlinear characteristics. Therefore, the nonlinear response model is used to describe the nonlinear characteristics between the signal-to-noise ratio and the transmit power, and the influence of the attenuation characteristics on the power allocation is combined to obtain the initial channel power model. The specific formula is as follows: ; in, The initial frequency band The transmission power allocation value of For frequency band The signal-to-noise ratio is the ratio of signal strength to noise strength; The adjustment coefficient of signal-to-noise ratio on power allocation; is the exponential coefficient of the attenuation effect on power allocation; For frequency band The attenuation characteristic indicates the degree of attenuation of the signal during transmission; It is the adjustment coefficient of the attenuation characteristic to the nonlinear response of power distribution.

[0036] In actual communications, the interference level has an important impact on the transmission power allocation of the frequency band. The interference level often competes with the signal-to-noise ratio. The stronger the interference level, the smaller the power allocation value should be. By using the impact of the interference level on power allocation, the initial channel power model is adjusted. The specific formula for the impact of the interference level on power allocation is as follows: ; in, The adjustment factor of power allocation for interference; For frequency band The interference level indicates the intensity of interference during the communication process; For frequency band The signal-to-noise ratio is the ratio of signal strength to noise strength; is the nonlinear influence coefficient of the ratio of interference to signal-to-noise ratio on power allocation.

[0037] In order to ensure that the power allocation strategy can adapt to the changes in channel status caused by time changes, the time factor is introduced into the initial channel power model, and the Sigmoid function is used to smooth the dynamic changes of the signal to avoid the drastic fluctuation of the transmission power caused by the system's rapid time changes. The specific formula of the time change factor is as follows: ; in, To adjust the influence coefficient of time factor on power distribution; is the adjustment coefficient of the time response, which affects the response of the signal changing with time; is the time factor, which indicates the dynamic change of the channel state.

[0038] The initial channel power model, the influence of the interference level on the power allocation and the time variation factor are combined to obtain the channel power model.

[0039] In the embodiment of the present application, the specific formula of the channel power model is as follows: ; in, For frequency band The transmission power allocation value of For frequency band The signal-to-noise ratio is the ratio of signal strength to noise strength; The adjustment coefficient of signal-to-noise ratio on power allocation; is the exponential coefficient of the attenuation effect on power allocation; For frequency band The attenuation characteristic indicates the degree of attenuation of the signal during transmission; is the adjustment coefficient of the attenuation characteristic to the nonlinear response of the power distribution; The adjustment factor of power allocation for interference; For frequency band The interference level indicates the intensity of interference during the communication process; is the nonlinear influence coefficient of the ratio of interference to signal-to-noise ratio on power allocation; To adjust the influence coefficient of time factor on power distribution; is the adjustment coefficient of the time response, which affects the response of the signal changing with time; is the time factor, which indicates the dynamic change of the channel state.

[0040] In an optional embodiment, a variety of methods can be used to construct a channel power model to adapt to the complexity and dynamic changes of channel states in low-voltage power line carrier communications; for example, a data-driven approach can be introduced to use historical channel state information and actual communication performance data to train a machine learning model to predict power allocation values, thereby optimizing the accuracy and adaptability of the channel power model; in addition, a hierarchical modeling approach can be used to decompose the channel power model into multiple sub-models, and independent modeling is performed for the signal-to-noise ratio, attenuation characteristics, and interference level, and then the results of each sub-model are integrated through weighted fusion to further enhance the flexibility and robustness of the model; regardless of the strategy adopted, it is necessary to ensure that the constructed channel power model can fully reflect the key characteristics of the channel state while maintaining computational efficiency, and accurately capture the complex interactive relationship between the signal-to-noise ratio, attenuation characteristics, and interference level, and this embodiment does not make specific limitations on this.

[0041] It should be noted that the existing power allocation model usually assumes that the signal-to-noise ratio and the transmission power are linearly related, ignoring the existence of nonlinear response and interference competition in the actual communication environment. In addition, the introduction of the time factor is relatively rare in the prior art, which makes the system prone to power fluctuations when the channel state changes rapidly. This embodiment fully considers the complex interactive relationship between the signal-to-noise ratio, attenuation characteristics and interference level through a nonlinear response model. At the same time, by introducing the time factor, a smooth response to the dynamic changes of the channel is achieved, solving the adaptability problem of the traditional model in low signal-to-noise ratio and high interference environments. For example, in a strong interference frequency band, by adjusting the power allocation value, resource waste is effectively avoided, while ensuring the efficient use of the weak interference frequency band. In addition, the introduction of the time factor significantly improves the stability of the system and reduces the drastic power fluctuations caused by the rapid changes in the channel state.

[0042] S3: Preliminarily allocate frequency bands based on the service type information and the transmit power allocation value to obtain a first frequency band allocation strategy.

[0043] In the embodiments of the present application, Figure 2The figure shows the first frequency band allocation strategy process, in which the communication frequency band is preliminarily allocated based on the service type information and the transmission power allocation value. The first frequency band allocation strategy includes the following steps: an initial judgment is made based on the transmission power allocation value and the service type information. If the transmission power allocation value is greater than the first threshold, the corresponding frequency band is divided into a high-quality frequency band, and high-priority services are allocated to the high-quality frequency band.

[0044] If the transmit power allocation value is greater than the second threshold and less than or equal to the first threshold, the corresponding frequency band is divided into a medium-quality frequency band, and the medium-priority service is allocated to the medium-quality frequency band.

[0045] If the transmission power allocation value is greater than the third threshold and less than or equal to the second threshold, the corresponding frequency band is divided into a low-quality frequency band, and the low-priority service is allocated to the low-quality frequency band.

[0046] If the transmission power allocation value is less than or equal to the third threshold, the corresponding frequency band is divided into an unusable frequency band and no service allocation is performed.

[0047] It should be noted that for the determination of the first threshold to the third threshold, this embodiment is first based on the distribution characteristics of channel state information in low-voltage power line carrier communication, and through a large number of experimental sampling in typical communication scenarios, obtains the actual transmission performance data of different frequency bands under signal-to-noise ratio, attenuation characteristics and interference level, and performs statistical analysis on it; on this basis, combined with the actual needs of business priority, the frequency band quality is classified, and the dividing points of high-quality, medium-quality and low-quality frequency bands are preliminarily set; then, by simulating and verifying the system performance under different threshold settings, continuous adjustment and optimization are made, and finally the optimal threshold that can maximize resource utilization and business transmission quality is obtained; in addition, an adaptive algorithm can also be introduced to fine-tune the threshold according to the real-time channel status to further enhance the flexibility and robustness of the system, which is not specifically limited in this embodiment.

[0048] It should be noted that traditional frequency band allocation strategies usually ignore the matching relationship between service priority and frequency band quality, which may cause high-priority services to be allocated to low-quality frequency bands, thereby affecting the transmission quality of key services. This embodiment divides the frequency bands into four categories: high quality, medium quality, low quality, and unavailable based on the transmission power allocation value and service type information, and dynamically allocates them according to the threshold. This strategy ensures that high-priority services are always allocated to high-quality frequency bands; compared with the prior art, the preliminary frequency band allocation strategy of the present invention significantly improves the service quality. For example, when the transmission power allocation value is greater than the first threshold, the frequency band is divided into high-quality frequency bands and high-priority services are allocated preferentially, ensuring the transmission reliability of key services. This strategy is particularly important in multi-band collaborative modulation scenarios, and can effectively avoid resource waste and service conflicts.

[0049] S4: Optimize the first frequency band allocation strategy to obtain a second frequency band allocation strategy, and implement low-voltage power line carrier communication based on multi-band collaborative modulation.

[0050] In an embodiment of the present application, optimizing the first frequency band allocation strategy to obtain the second frequency band allocation strategy means calculating the network load data of each frequency band after the first frequency band allocation strategy is allocated, and then optimizing the first frequency band allocation strategy according to the network load data.

[0051] Furthermore, the specific formula for calculating the network load data of each frequency band is as follows: ; in, for The network load data of the quality band is used to represent the network load data of the high-quality band, the medium-quality band and the low-quality band; for the number of bands for the quality band; For frequency band The transmission power allocation value of To assign to Quality Band Mid-Band The number of businesses; To assign to The total number of services in the quality band.

[0052] In the embodiments of the present application, Figure 3 The second frequency band allocation strategy process is shown. The second frequency band allocation strategy includes: performing secondary judgment based on the network load data of each frequency band. If the network load data of the high-quality frequency band is greater than the high-quality frequency band load threshold, it is determined that the high-quality frequency band load is too high, and the first threshold is increased so that fewer frequency bands are divided into high-quality frequency bands, thereby ensuring that only truly high-quality frequency bands are used for high-priority services. These frequency bands can maintain good transmission quality even under high load.

[0053] If the network load data of the high-quality frequency band is less than M% of the high-quality frequency band load threshold, it is determined that the high-quality frequency band load is too low, the first threshold is lowered, and the number of high-quality frequency bands is increased to improve resource utilization.

[0054] If the network load data of the high-quality frequency band is greater than or equal to M% of the high-quality frequency band load threshold and less than or equal to the high-quality frequency band load threshold, it remains unchanged.

[0055] If the network load data of the medium quality frequency band is greater than the medium quality frequency band load threshold, it is determined that the medium quality frequency band load is too high, the second threshold is increased, and the first threshold is lowered, thereby reducing the number of medium quality frequency bands and increasing the number of high quality frequency bands to divert the services in the medium quality frequency band.

[0056] If the network load data of the medium quality frequency band is less than M% of the medium quality frequency band load threshold, it is determined that the medium quality frequency band load is too low, the second threshold is lowered, and the number of medium quality frequency bands is increased.

[0057] If the network load data of the medium quality frequency band is greater than or equal to M% of the medium quality frequency band load threshold and less than or equal to the medium quality frequency band load threshold, it remains unchanged.

[0058] If the network load data of the low-quality frequency band is greater than the low-quality frequency band load threshold, the low-quality frequency band load is determined to be too high, the third threshold is increased, and the second threshold is lowered, thereby reducing the number of low-quality frequency bands and increasing the number of medium-quality frequency bands to divert the services of the low-quality frequency band.

[0059] If the network load data of the low-quality frequency band is less than M% of the low-quality frequency band load threshold, it is determined that the low-quality frequency band load is too low, and the third threshold is lowered to increase the number of low-quality frequency bands and reduce unavailable frequency bands.

[0060] If the network load data of the low-quality frequency band is greater than or equal to M% of the low-quality frequency band load threshold and less than or equal to the low-quality frequency band load threshold, it remains unchanged.

[0061] It should be noted that, in determining the load thresholds of high, medium and low quality frequency bands, this embodiment first obtains a large amount of load data and performs statistical analysis based on the distribution characteristics of network load data by monitoring the load conditions of different frequency bands in an actual communication environment. Combined with system performance indicators and service quality requirements, the load thresholds are preliminarily classified; secondly, through simulation modeling, the frequency band resource utilization and service transmission quality under different load conditions are simulated, and the impact of excessive or low load on system performance is calculated, thereby optimizing the value range of the load threshold; finally, after comprehensively considering resource utilization and system stability, the optimal high, medium and low quality frequency band load thresholds are obtained, and the same applies to M% of the high, medium and low quality frequency band load thresholds; in addition, the load thresholds can also be dynamically adjusted through real-time monitoring and feedback mechanisms to ensure efficient operation of the system and reasonable allocation of resources, which is not specifically limited in this embodiment.

[0062] For example, assume that in a low-voltage power line carrier communication scenario, data transmission of smart home devices needs to be achieved through power lines in a certain community. These devices include high-priority security alarm systems, medium-priority temperature control devices, and low-priority lighting controls. In step S3, the frequency bands are first divided into four categories: high quality, medium quality, low quality, and unavailable, based on the channel state information and the transmission power allocation value. For example, high-quality frequency bands usually correspond to areas with high signal-to-noise ratios and low interference, which are suitable for carrying data transmission of security alarm systems; medium-quality frequency bands are allocated to temperature control devices; low-quality frequency bands are used for services that do not require high real-time performance, such as lighting control; however, in actual operation, the high-quality frequency bands may be overloaded, such as multiple security devices uploading data at the same time, resulting in The network is congested. At this time, the S4 step is entered to dynamically adjust the threshold to optimize resource allocation by calculating the network load data of each frequency band. For example, increasing the first threshold reduces the number of high-quality frequency bands, while lowering the second threshold increases the number of medium-quality frequency bands, thereby diverting the data of some temperature control equipment to the medium-quality frequency bands and alleviating the pressure on the high-quality frequency bands. In addition, if the load of the low-quality frequency band is too low, more frequency bands can be divided into low-quality frequency bands by lowering the third threshold to improve resource utilization. This process not only ensures the transmission quality of high-priority services, but also avoids the waste or excessive concentration of frequency band resources, significantly improving the overall performance and stability of the system. Through dynamic optimization strategies, the system can flexibly respond to different business needs and channel status changes, and provide users with reliable and efficient communication services.

[0063] It should be noted that the traditional fixed-threshold frequency band allocation strategy may lead to unbalanced resource allocation, such as excessive load on high-quality frequency bands or insufficient utilization of low-quality frequency bands. In addition, the existing technology lacks the ability to dynamically analyze network load data, making it difficult to achieve optimal utilization of frequency band resources. This embodiment achieves dynamic optimization of frequency band resources by calculating network load data and combining it with a dynamic threshold adjustment mechanism. This dynamic optimization mechanism significantly improves the utilization of frequency band resources and reduces the risk of system congestion. For example, when the load on high-quality frequency bands is too high, by increasing the first threshold, the frequency band pressure can be effectively alleviated while ensuring the transmission quality of high-priority services. In addition, the dynamic adjustment mechanism of low-quality frequency bands further improves the flexibility of the system and avoids waste of resources.

[0064] In summary, the present invention proposes a low-voltage power line carrier communication method based on multi-band collaborative modulation, which constructs a dual perception system by synchronously acquiring channel state information and service type information, solves the blind transmission problem of traditional communication, and realizes environmental adaptation and precise response to demand; constructs a comprehensive channel power model that integrates nonlinear response, interference influence and time-varying characteristics, and smoothes dynamic parameters through Sigmoid function to realize accurate quantitative allocation of power resources, thereby reducing electromagnetic interference while improving transmission reliability; establishes a mapping relationship between power allocation value and frequency band quality level, and adopts a multi-threshold stratification strategy to divide the frequency band into four quality intervals to realize intelligent matching of service priority and frequency band quality, ensuring that key services obtain high-quality transmission channels; introduces a network load perception mechanism, realizes real-time redistribution of frequency band resources by dynamically adjusting quality threshold parameters, effectively alleviates network congestion, and enables the system to maintain service quality assurance capabilities in high-load scenarios; improves the communication reliability of the system in high-noise and strong interference environments, enhances the service quality assurance capabilities for services of different priorities, realizes dynamic optimization and balanced utilization of spectrum resources, and provides efficient and reliable communication solutions for application scenarios such as smart grids and smart homes.

[0065] Embodiment 2 is an embodiment of the present invention, which provides a low-voltage power line carrier communication system based on multi-band collaborative modulation, including: a data acquisition module, used to obtain channel status information and service type information; a power allocation module, used to construct a channel power model according to the channel status information and perform calculations to obtain the transmission power allocation value of the frequency band; an initial allocation module, used to preliminarily allocate the frequency band based on the service type information and the transmission power allocation value to obtain a first frequency band allocation strategy; an allocation optimization module, used to optimize the first frequency band allocation strategy to obtain a second frequency band allocation strategy, thereby realizing low-voltage power line carrier communication based on multi-band collaborative modulation.

[0066] Embodiment 3 is an embodiment of the present invention, which is different from the previous embodiment in that: like Figure 4As shown, if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0067] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0068] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0069] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0070] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A low-voltage power line carrier communication method based on multi-band cooperative modulation, characterized in that: include: Obtain channel status information and service type information; Constructing a channel power model according to the channel state information and performing calculations to obtain a transmit power allocation value of the frequency band; Preliminarily allocating frequency bands based on the service type information and the transmit power allocation value to obtain a first frequency band allocation strategy; The first frequency band allocation strategy is optimized to obtain a second frequency band allocation strategy, thereby realizing low-voltage power line carrier communication based on multi-band collaborative modulation.

2. The low-voltage power line carrier communication method based on multi-band coordinated modulation according to claim 1, characterized in that: The channel state information includes the signal-to-noise ratio, attenuation characteristics and interference level of the frequency band; The service type information includes high priority service, medium priority service and low priority service.

3. The low-voltage power line carrier communication method based on multi-band coordinated modulation according to claim 2, characterized in that: The step of constructing a channel power model and performing calculations to obtain a transmit power allocation value of a frequency band comprises the following steps: By using the nonlinear response model to describe the nonlinear characteristics between the signal-to-noise ratio and the transmit power, and combining the influence of the attenuation characteristics on the power allocation, the initial channel power model is obtained. The specific formula is as follows: ； in, The initial frequency band The transmission power allocation value of For frequency band signal-to-noise ratio; The adjustment coefficient of signal-to-noise ratio on power allocation; is the exponential coefficient of the attenuation effect on power allocation; For frequency band The attenuation characteristics of is the adjustment coefficient of the attenuation characteristic to the nonlinear response of the power distribution; The initial channel power model is adjusted by using the influence of the interference level on the power allocation. The specific formula of the influence of the interference level on the power allocation is as follows: ； in, The adjustment factor of power allocation for interference; For frequency band The level of interference; For frequency band signal-to-noise ratio; is the nonlinear influence coefficient of the ratio of interference to signal-to-noise ratio on power allocation; The time factor is introduced into the initial channel power model, and the dynamic change of the signal is smoothed by the Sigmoid function to obtain the time variation factor. The specific formula of the time variation factor is as follows: ； in, To adjust the influence coefficient of time factor on power distribution; is the adjustment coefficient of time response; is the time factor; The initial channel power model, the influence of the interference level on the power allocation and the time variation factor are combined to obtain the channel power model.

4. The low-voltage power line carrier communication method based on multi-band coordinated modulation according to claim 3, characterized in that: The specific formula of the channel power model is as follows: ； in, For frequency band The transmission power allocation value of For frequency band signal-to-noise ratio; The adjustment coefficient of signal-to-noise ratio on power allocation; is the exponential coefficient of the attenuation effect on power allocation; For frequency band The attenuation characteristics of is the adjustment coefficient of the attenuation characteristic to the nonlinear response of the power distribution; The adjustment factor of power allocation for interference; For frequency band The level of interference; is the nonlinear influence coefficient of the ratio of interference to signal-to-noise ratio on power allocation; To adjust the influence coefficient of time factor on power distribution; is the adjustment coefficient of time response; is the time factor.

5. The low-voltage power line carrier communication method based on multi-band coordinated modulation according to claim 4, characterized in that: Preliminarily allocating the communication frequency band based on the service type information and the transmit power allocation value to obtain the first frequency band allocation strategy includes the following steps: Performing an initial judgment based on the transmit power allocation value and the service type information, if the transmit power allocation value is greater than a first threshold, dividing the corresponding frequency band into a high-quality frequency band, and allocating a high-priority service to the high-quality frequency band; If the transmit power allocation value is greater than the second threshold and less than or equal to the first threshold, the corresponding frequency band is divided into a medium-quality frequency band, and the medium-priority service is allocated to the medium-quality frequency band; If the transmit power allocation value is greater than the third threshold and less than or equal to the second threshold, the corresponding frequency band is divided into a low-quality frequency band, and the low-priority service is allocated to the low-quality frequency band; If the transmit power allocation value is less than or equal to the third threshold, the corresponding frequency band is divided into an unavailable frequency band and no service allocation is performed.

6. The low-voltage power line carrier communication method based on multi-band coordinated modulation according to claim 5, characterized in that: Optimizing the first frequency band allocation strategy to obtain the second frequency band allocation strategy means calculating the network load data of each frequency band respectively for each frequency band allocated by the first frequency band allocation strategy, and then optimizing the first frequency band allocation strategy according to the network load data.

7. The low-voltage power line carrier communication method based on multi-band coordinated modulation according to claim 6, characterized in that: The second frequency band allocation strategy includes: Perform secondary judgment based on the network load data of each frequency band. If the network load data of the high-quality frequency band is greater than the high-quality frequency band load threshold, it is determined that the high-quality frequency band load is too high, and the first threshold is increased; If the network load data of the high-quality frequency band is less than M% of the high-quality frequency band load threshold, it is determined that the high-quality frequency band load is too low, and the first threshold is lowered; If the network load data of the high-quality frequency band is greater than or equal to M% of the high-quality frequency band load threshold and less than or equal to the high-quality frequency band load threshold, it remains unchanged; If the network load data of the medium quality frequency band is greater than the medium quality frequency band load threshold, it is determined that the medium quality frequency band load is too high, the second threshold is increased, and the first threshold is decreased; If the network load data of the medium quality frequency band is less than M% of the medium quality frequency band load threshold, it is determined that the medium quality frequency band load is too low, and the second threshold is lowered; If the network load data of the medium-quality frequency band is greater than or equal to M% of the medium-quality frequency band load threshold and less than or equal to the medium-quality frequency band load threshold, it remains unchanged; If the network load data of the low-quality frequency band is greater than the low-quality frequency band load threshold, it is determined that the low-quality frequency band load is too high, the third threshold is increased, and the second threshold is decreased; If the network load data of the low-quality frequency band is less than M% of the low-quality frequency band load threshold, it is determined that the low-quality frequency band load is too low, and the third threshold is lowered; If the network load data of the low-quality frequency band is greater than or equal to M% of the low-quality frequency band load threshold and less than or equal to the low-quality frequency band load threshold, it remains unchanged.

8. A low-voltage power line carrier communication system based on multi-band coordinated modulation, based on the low-voltage power line carrier communication method based on multi-band coordinated modulation according to any one of claims 1 to 7, characterized in that: include, A data acquisition module, used to acquire channel status information and service type information; A power allocation module is used to construct a channel power model based on the channel state information and perform calculations to obtain a transmit power allocation value for the frequency band; A primary allocation module, used to perform a preliminary allocation of frequency bands based on service type information and transmit power allocation values ​​to obtain a first frequency band allocation strategy; The allocation optimization module is used to optimize the first frequency band allocation strategy to obtain the second frequency band allocation strategy, thereby realizing low-voltage power line carrier communication based on multi-band collaborative modulation.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the low-voltage power line carrier communication method based on multi-band collaborative modulation as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the low-voltage power line carrier communication method based on multi-band collaborative modulation as described in any one of claims 1 to 7 are implemented.

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