Electronic balance information wireless transmission system based on spectrum sensing

Abstract

The application discloses a spectrum-sensing-based electronic balance information wireless transmission system and relates to the technical field of electronic balance.The components of the wireless transmission system include a spectrum intelligent sensing module, a frequency hopping decision module, a channel quality monitoring module, a dynamic channel adjustment module and a data transmission control module.The system can rapidly respond to the deterioration of channel quality by sensing the change of the spectrum environment in real time and dynamically evaluating the channel quality, intelligently selects an optimal alternative channel for switching when the current channel quality drops to a certain threshold, and greatly reduces the data transmission failure rate caused by signal interference and frequency congestion in a complex and changeable electromagnetic environment.The dynamic adjustment mechanism significantly improves the stability and reliability of data transmission and ensures the accurate transmission of electronic balance weighing information.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electronic balance, specifically to an electronic balance information wireless transmission system based on spectrum sensing. BACKGROUND

[0002] With the development of Internet of Things technology, more and more devices are connected through wireless networks. Electronic balance, as an indispensable measuring tool in industry and laboratory, its weighing information wireless transmission has become an important means to improve work efficiency. However, in a complex wireless environment, how to ensure the efficient and stable transmission of weighing information has become a challenge, especially in the presence of multiple interference sources and dynamic spectrum environment, ensuring stable communication of wireless electronic balance in complex environment has become a technical problem to be solved.

[0003] However, the existing electronic balance wireless transmission system usually uses fixed communication frequency band and channel, which cannot be adjusted adaptively according to the actual environment of wireless spectrum occupation, and is easily disturbed. When the wireless spectrum in the surrounding environment changes, the fixed communication frequency band and channel may overlap with the frequency band and channel of other wireless devices, causing signal interference and data transmission errors. During data transmission, channel quality may change due to various factors, i.e. signal attenuation and increased interference, so it cannot be adjusted in time, which will affect the continuity and stability of data transmission, thus reducing the efficiency and reliability of data transmission.

[0004] In summary, the existing electronic balance weighing information wireless transmission system has deficiencies in adaptive frequency hopping and channel optimization mechanism, which cannot meet the needs of practical application. Therefore, it is necessary to develop an electronic balance weighing information wireless transmission system with adaptive frequency hopping and channel optimization mechanism to provide a more intelligent and efficient solution for electronic balance weighing information wireless transmission. SUMMARY

[0005] The purpose of the present application is to overcome the deficiencies of the prior art and provide an electronic balance information wireless transmission system based on spectrum sensing. The system integrates spectrum intelligent sensing module, frequency hopping decision module, channel quality monitoring module, dynamic channel adjustment module and data transmission control module, and each module works cooperatively to realize comprehensive optimization of wireless transmission process. This comprehensive design can fully utilize the advantages of each module to improve the overall performance of the system. According to the changes of channel quality, the transmission parameters are dynamically adjusted to further ensure the continuity and stability of data transmission, reduce the occurrence of data loss and transmission errors, and help to improve work efficiency and quality.

[0006] The application provides a spectrum-sensing-based electronic balance information wireless transmission system, which comprises a spectrum intelligent sensing module, a frequency hopping decision module, a channel quality monitoring module, a dynamic channel adjustment module and a data transmission control module.

[0007] The spectrum intelligent sensing module performs real-time and high-precision scanning and sensing on the wireless spectrum of the current environment, and quickly obtains key information of signal strength, occupancy rate, background noise level and available bandwidth of each frequency band.

[0008] The frequency hopping decision module comprehensively considers multiple factors such as signal strength, interference degree, channel capacity and data transmission demand based on the data provided by the spectrum intelligent sensing module, and automatically selects the best communication frequency band and channel for the electronic balance information wireless transmission system.

[0009] The channel quality monitoring module continuously performs real-time monitoring on the quality of the current communication channel, collects error code rate, signal-to-noise ratio and transmission delay index, dynamically evaluates these indexes, and accurately judges the change trend of the channel quality.

[0010] The dynamic channel adjustment module finds and switches a better communication channel according to the current channel quality evaluation result and available channel resource, and continuously learns and optimizes the channel adjustment strategy to adapt to different environments and application scenarios.

[0011] The data transmission control module is responsible for coordinating the electronic balance data transmission process, and dynamically adjusts the data transmission parameters according to the results of the intelligent frequency hopping decision module and the dynamic channel adjustment module.

[0012] Further, the spectrum intelligent sensing module specifically comprises:

[0013] A multi-dimensional spectrum feature extraction unit is used for real-time scanning of the wireless spectrum in the current environment, and extracting multiple spectrum features of signal strength , occupancy rate and background noise level from the wireless spectrum;

[0014] An interference source identification unit is used for identifying different types of interference sources based on the data obtained by the multi-dimensional spectrum feature extraction unit, and evaluating the potential impact of the interference sources on wireless communication;

[0015] A dynamic spectrum analysis unit is used for analyzing the key information of signal strength and interference degree of each frequency band in real time, and providing accurate spectrum environment data for the frequency hopping decision module;

[0016] A spectrum environment construction unit is used for establishing the wireless spectrum in the current environment, reflecting the occupancy of each frequency band and its change trend, and providing a decision basis for frequency hopping.

[0017] Data fusion and processing unit: Integrates and processes the information obtained from the multi-dimensional spectrum feature extraction unit, interference source identification unit and dynamic spectrum analysis unit to form a unified data format, which is convenient for the frequency hopping decision module to read and use.

[0018] Furthermore, the multi-dimensional spectrum feature extraction unit utilizes a high-precision spectrum analyzer to collect spectrum data of the current wireless environment, including signal strength in each frequency band. Occupancy rate and background noise level , This represents the frequency band index. The ratio of the standard deviation to the mean of the signal strength within each frequency band is calculated to assess signal stability. ,in, yes standard deviation yes The average value of the signal strength is used by the interference source identification unit to assess the degree of interference in the frequency band based on the comparison between signal strength and background noise. The calculation formula is as follows: ,in, This indicates the maximum noise level across all frequency bands. It is a small positive number used to avoid a denominator of zero, and is combined with occupancy rate and signal stability to evaluate the bandwidth utilization efficiency and availability of the frequency band. The extracted spectral features ( , The input wireless spectrum to the spectrum environment construction unit is comprehensively evaluated, and a comprehensive score for each frequency band is output. This rating comprehensively considers signal stability, interference level, and bandwidth utilization. ,in The mapping function representing the wireless spectrum, based on the comprehensive score. The data fusion and processing unit selects the frequency band with the highest score as the current optimal communication frequency band.

[0019] Furthermore, the specific steps of the frequency hopping decision module are as follows:

[0020] Data reception and preprocessing: Receive the comprehensive score of each frequency band output by the intelligent spectrum sensing module. Other relevant spectral characteristic data, namely the signal strength stability index Interference assessment factors Bandwidth utilization assessment The data is cleaned and verified to ensure its accuracy and integrity.

[0021] Priority score calculation: Taking into account this information and data transmission requirements, the priority score of each frequency band is calculated, taking into account the comprehensive score of each frequency band in the spectrum intelligent sensing module, as well as the real-time and stability requirements of data transmission.

[0022] Communication frequency band and channel selection: Based on priority scores, the frequency band with the highest priority is selected as the current communication frequency band. At the same time, the corresponding channel is determined to ensure that the channel capacity meets the data transmission requirements.

[0023] Real-time channel quality monitoring: The selected communication frequency band and channel information are transmitted to the channel quality monitoring module so that it can monitor the channel in real time and detect changes in channel quality in a timely manner.

[0024] Dynamic adjustment: Based on the information fed back by the channel quality monitoring module, the selection of communication frequency band and channel is dynamically adjusted. When the channel quality deteriorates, the frequency hopping decision module will reselect the frequency band and channel based on the latest information from the spectrum intelligent sensing module to verify the reliability and efficiency of data transmission.

[0025] Furthermore, the frequency hopping decision module is responsible for selecting the optimal communication frequency band and channel for the wireless transmission of weighing information from the electronic balance. Based on priority scores, a weighted evaluation system is established, assigning different weights to each factor. The weight values ​​are dynamically adjusted according to actual conditions to ensure that the selected communication frequency band and channel are most suitable for the current application scenario. Each frequency band, the signal strength provided by the spectrum intelligent sensing module occupancy rate Background noise level Available bandwidth is denoted as The overall score is Data transmission requirements include real-time requirements. and stability requirements The frequency band priority score is defined as follows: ,in, , , , These are the weighting coefficients, and , It is a small positive number used to avoid the denominator being zero. When calculating the frequency band priority score, the weighting coefficient is adjusted based on the comprehensive score in the actual application scenario, the degree of matching between bandwidth and real-time performance, the comparison between signal and noise, and the relative importance of stability requirements. Taking into account signal stability, interference level, and bandwidth utilization, This represents the degree of matching between bandwidth and real-time performance, ensuring that the selected frequency band can meet the real-time requirements of data transmission. The score is higher when the signal intensity is higher relative to the background noise level, The score represents the degree of satisfaction of the stability requirement. Through the algorithm formula, the frequency hopping decision module can comprehensively consider the information provided by the spectrum intelligent perception module and the data transmission requirement, accurately select the frequency band and the corresponding channel with the highest priority, and provide the best communication conditions for the wireless transmission of the electronic balance weighing information. At the same time, according to the feedback of the channel quality monitoring module, the selection of the frequency band and the channel is adjusted in time to ensure the reliability and efficiency of the data transmission.

[0026] Further, the specific steps of the channel quality monitoring module are:

[0027] Data information receiving: obtaining the current selected communication frequency band and channel information from the frequency hopping decision module;

[0028] Real-time index collection: starting the quality monitoring of the current communication channel according to the frequency band and channel information of the communication, and collecting the key indexes of the error rate, the signal-to-noise ratio, and the transmission delay in real time;

[0029] Channel quality index evaluation: correlating and analyzing the collected index data with the spectrum information provided by the spectrum intelligent perception module, combining the signal intensity and interference of each frequency band in the spectrum, and evaluating whether the change of the current channel quality index is related to the change of the spectrum environment;

[0030] Dynamic index evaluation: dynamically evaluating the indexes, not only focusing on the instantaneous value of a single index, but also analyzing the change trend and fluctuation, so as to more accurately judge the change trend of the channel quality;

[0031] Channel quality threshold judgment: when the channel quality decreases to the threshold value, the related information is transmitted to the dynamic channel adjustment module to trigger the channel adjustment operation, so as to ensure the continuity and stability of the data transmission;

[0032] Channel information interaction and adjustment: during the channel quality monitoring process, the information interaction is continuously carried out with the spectrum intelligent perception module and the frequency hopping decision module, and the real-time feedback of the channel quality is provided, and the corresponding decision and adjustment are further made according to the channel quality situation.

[0033] Further, the channel quality monitoring module dynamically and accurately evaluates the channel quality based on the real-time collected channel quality indexes and the data of the spectrum intelligent perception module, and the error rate of the current communication channel is , the signal-to-noise ratio is , and the transmission delay is , and the channel quality evaluation value is defined as: wherein, , , is a weight coefficient, the determination of the weight coefficient is adjusted according to the relative importance of the bit error rate, the signal-to-noise ratio and the transmission delay in the actual application scene, that is, represents the influence of the bit error rate on the channel quality, represents the importance of the signal-to-noise ratio, represents the influence of the transmission delay, the channel quality evaluation value calculated by comprehensively judges the pros and cons of the channel quality, and when it drops to a threshold , that is, , is a historical average value of , is a historical standard deviation of , is a pre-warning sensitivity coefficient, indicating that the channel quality is decreasing, triggering the dynamic channel adjustment module to adjust the channel, at the same time, the channel quality monitoring module also correlates and analyzes the indexes of , and with the spectrum information provided by the spectrum intelligent perception module, compares the signal strength and interference of different frequency bands with the changes of the channel quality indexes, judges whether the decrease of the channel quality is related to the change of the spectrum environment, and feeds back the relevant information to the frequency hopping decision module for reselecting the communication frequency band and the channel.

[0034] Further, the dynamic channel adjustment module receives the channel quality evaluation result sent by the channel quality monitoring module, and when the channel quality drops to a set threshold , starts the channel adjustment process, specifically:

[0035] Real-time data acquisition: interacts with the spectrum intelligent perception module to obtain the spectrum information of the current environment, including the signal strength, occupancy rate, background noise level and key information of the available bandwidth of each frequency band;

[0036] Channel search: combined with the decision information of the frequency hopping decision module, comprehensively considers the spectrum information and data transmission demand, and searches for a better communication channel;

[0037] Channel verification and adjustment: in the search process, fully utilizes the spectrum characteristics provided by the spectrum intelligent perception module, that is, the signal stability, interference degree and bandwidth utilization, to ensure that the selected channel can meet the reliability and efficiency requirements of data transmission;

[0038] Perform channel switching: when a better communication channel is found, perform channel switching operation, cooperate closely with the data transmission control module in the switching process to ensure the continuity of data transmission and avoid data loss;

[0039] Post-switch verification and adjustment: After the switch is completed, the new channel information is fed back to the frequency hopping decision module and the channel quality monitoring module to update the relevant information and make subsequent decisions and monitoring.

[0040] Furthermore, the dynamic channel adjustment module calculates a handover decision index for each candidate channel. The higher the index, the more suitable the channel is as a handover target. This introduces a channel stability index to more comprehensively evaluate channel quality, avoiding frequent handovers and the selection of unstable channels. This is the channel handover decision index. ,in, It is the first The handover decision index for each alternative channel. It is the first The signal-to-noise ratio of each alternative channel. It is the maximum signal-to-noise ratio among all candidate channels. It is the first Interference levels of the alternative channels, It is the average of the interference levels of all candidate channels. It is the first The historical stability index of each candidate channel is calculated based on historical data from the channel quality monitoring module. , , These are the weighting coefficients of each indicator, and they satisfy... + + =1.

[0041] Furthermore, the dynamic channel adjustment module also calculates the handover risk percentage by comparing the difference between the CQE of the current channel and the CSD of the best alternative channel, and the proportion of this difference relative to a system preset threshold. The higher this value, the greater the switching risk, requiring further assessment and additional protective measures. The calculation formula is as follows: , It is the comprehensive channel quality assessment index for the current channel. It is the highest value for the handover decision index among all candidate channels. It is the system's preset channel quality degradation threshold. It is the minimum value of the comprehensive channel quality assessment index in historical records, based on the handover risk percentage. The system can make more intelligent decisions on whether to switch channels, thereby ensuring the continuity and stability of data transmission.

[0042] Compared with existing technologies, this spectrum-sensing-based electronic balance information wireless transmission system has the following advantages:

[0043] One, the system can quickly respond to the deterioration of channel quality by real-time sensing of the change of spectrum environment and dynamic evaluation of channel quality, when the current channel quality decreases to a certain threshold, the system will intelligently select the optimal candidate channel for switching, and in the complex and changeable electromagnetic environment, greatly reduces the data transmission failure rate caused by signal interference and frequency congestion, this dynamic adjustment mechanism significantly improves the stability and reliability of data transmission, ensures the accurate transmission of electronic balance weighing information.

[0044] Two, the introduction of the dynamic channel adjustment module can realize efficient utilization of wireless spectrum resources without affecting the data transmission performance, the system can adjust the communication strategy in time according to the information fed back by the channel quality monitoring module, switch to the channel with higher quality, avoid the problem of waste of spectrum resources under the traditional fixed frequency band transmission mode, help to reduce unnecessary energy consumption, prolong the service life of the equipment, at the same time, also reserve enough spectrum space for more devices to access wireless network in the future, further improve the bearing capacity and flexibility of the whole wireless network.

[0045] Other advantages, objects and features of the present application will be apparent to those skilled in the art from the following specification, and will be further taught by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor;

[0047] Figure 1 The operation flow chart of the electronic balance information wireless transmission system based on spectrum sensing;

[0048] Figure 2 The unit schematic diagram of the spectrum intelligent sensing module in the electronic balance information wireless transmission system based on spectrum sensing. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be described clearly and completely below, obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0050] Embodiment one

[0051] The embodiment describes in detail the specific implementation process of the spectrum sensing-based electronic balance information wireless transmission system. The system realizes stable and efficient transmission of electronic balance weighing information in complex wireless environments by integrating spectrum intelligent sensing, frequency hopping decision, channel quality monitoring, dynamic channel adjustment, and data transmission control modules. The system can real-time sense spectrum changes, intelligently select the optimal communication frequency band and channel, and dynamically adjust channel quality to ensure the continuity and reliability of data transmission.

[0052] In specific implementation, first, before starting to use the electronic balance information wireless transmission system, relevant parameters need to be set, including weight coefficients in the spectrum intelligent sensing module for evaluating signal stability, interference level, and bandwidth utilization, and related parameters in the channel quality monitoring module and the dynamic channel adjustment module for judging channel quality threshold and switching risk, so that the system can better adapt to different application scenarios and wireless environments.

[0053] Then, the spectrum intelligent sensing module performs comprehensive and accurate scanning and sensing of the current wireless spectrum in real time. It is composed of multiple sub-units and works cooperatively to realize fine analysis of the spectrum environment. The multi-dimensional spectrum feature extraction unit can quickly and accurately collect spectrum data of the current wireless environment, including signal strength, occupancy rate, and background noise level of each frequency band, using a high-precision spectrum analyzer. These data are the basis for subsequent interference source identification and spectrum analysis. The interference source identification unit can identify different types of interference sources, such as signal interference from other wireless devices and electromagnetic noise, by analyzing the characteristics and patterns of signals based on the data obtained by the multi-dimensional spectrum feature extraction unit, and evaluate their potential impact on wireless communication. The dynamic spectrum analysis unit analyzes key information such as signal strength and interference level of each frequency band in real time to provide accurate spectrum environment data for the frequency hopping decision module. The spectrum environment construction unit establishes a wireless spectrum model under the current environment based on these data to reflect the occupancy of each frequency band and its trend, providing important decision basis for frequency hopping. The data fusion and processing unit integrates and processes the information obtained by the multi-dimensional spectrum feature extraction unit, the interference source identification unit, and the dynamic spectrum analysis unit. Through specific algorithms and models, it considers factors such as signal stability, interference level, and bandwidth utilization to evaluate and score each frequency band. Finally, it selects the highest-scoring frequency band as the current optimal communication frequency band. In this way, the spectrum intelligent sensing module can provide accurate spectrum information for the system, enabling the system to adaptively adjust according to the actual environmental changes.

[0054] Subsequently, the frequency hopping decision module selects the optimal communication frequency band and channel for the electronic balance weighing information wireless transmission system according to the data and information provided by the spectrum intelligent perception module, comprehensively considers multiple factors, receives the comprehensive scores of each frequency band and related spectrum characteristic data output by the spectrum intelligent perception module, such as signal strength stability index, interference evaluation factor, bandwidth utilization rate evaluation, etc., and cleans and verifies these data to ensure the accuracy and integrity of the data. Considering these information and the real-time and stability requirements of data transmission, etc., the priority score of each frequency band is calculated by using a specific algorithm. In the calculation of the priority score, a weighted evaluation system is established, different weights are assigned to each factor, and the weight values are dynamically adjusted according to the actual situation to ensure that the selected communication frequency band and channel are most suitable for the current application scenario. For example, for the frequency band with strong signal strength, low interference level, large channel capacity and high data transmission demand, a higher priority score is given. According to the priority score, the frequency band with the highest priority is selected as the current communication frequency band, and the corresponding channel is determined to ensure that the channel capacity meets the data transmission demand. At the same time, the selected communication frequency band and channel information are transmitted to the channel quality monitoring module for real-time monitoring of the channel to timely discover the changes of channel quality. In addition, the frequency hopping decision module also dynamically adjusts the selection of communication frequency band and channel according to the information fed back by the channel quality monitoring module. When the channel quality decreases, the frequency hopping decision module will select the frequency band and channel again according to the latest information of the spectrum intelligent perception module to ensure the reliability and efficiency of data transmission.

[0055] Next, the channel quality monitoring module obtains the currently selected communication frequency band and channel information from the frequency hopping decision module, and then initiates quality monitoring of the current communication channel. Using specialized monitoring equipment and technology, it collects key indicators such as bit error rate (BER), signal-to-noise ratio (SNR), and transmission delay in real time. These indicators reflect different aspects of channel quality: BER represents the proportion of errors occurring during data transmission; SNR reflects the intensity comparison between signal and noise; and transmission delay represents the time required for data to travel from transmission to reception. The collected indicator data is then correlated with the spectrum information provided by the spectrum intelligent sensing module. Combined with the signal strength and interference of each frequency band in the spectrum, the module assesses whether changes in the current channel quality indicators are related to changes in the spectrum environment. For example, if a change in BER is detected... If the channel quality deteriorates and interference in a specific frequency band increases, it can be determined that the channel quality deterioration may be related to interference in that frequency band. The channel quality monitoring module also dynamically evaluates these indicators, focusing not only on the instantaneous value of a single indicator but also analyzing its changing trends and fluctuations to more accurately determine the trend of channel quality changes. When the channel quality is determined to have deteriorated to a set threshold, relevant information is transmitted to the dynamic channel adjustment module, triggering it to perform channel adjustment operations to ensure the continuity and stability of data transmission. At the same time, during the channel quality monitoring process, this module continuously interacts with the spectrum intelligent sensing module and the frequency hopping decision module, providing timely real-time feedback on channel quality so that they can make corresponding decisions and adjustments based on the channel quality situation.

[0056] Secondly, when the channel quality monitoring module detects that the channel quality has dropped to the set threshold, the dynamic channel adjustment module will quickly start the channel adjustment process. It interacts with the spectrum intelligent perception module to obtain the spectrum information of the current environment, including the signal strength, occupancy rate, background noise level, and available bandwidth of each frequency band, and other key information. These information is crucial for selecting a better communication channel. Combined with the decision information of the frequency hopping decision module, the spectrum information and data transmission requirements are comprehensively considered to search for a better communication channel in the available channels. In the search process, the spectrum features provided by the spectrum intelligent perception module are fully utilized, such as signal stability, interference level, and bandwidth utilization, etc. Each candidate channel is evaluated and scored. For example, a channel with high signal-to-noise ratio, low interference level, and good historical stability will be given a higher score. The switching decision index of each candidate channel is calculated, and the channel with the highest index is selected as the better communication channel. At the same time, the channel stability index is introduced to more comprehensively evaluate the channel quality, avoid frequent switching, and select unstable channels. When a better communication channel is found, the channel switching operation is performed. In the switching process, it closely cooperates with the data transmission control module to ensure the continuity of data transmission and avoid data loss. After the switching is completed, the new channel information is fed back to the frequency hopping decision module and the channel quality monitoring module, so that they update the relevant information and make subsequent decisions and monitoring. In addition, the dynamic channel adjustment module also calculates the switching risk percentage by comparing the difference between the channel quality comprehensive evaluation index of the current channel and the switching decision index of the best candidate channel, and the proportion of this difference relative to the system preset threshold. According to the switching risk percentage, the system can more intelligently decide whether to perform channel switching, thereby ensuring the continuity and stability of data transmission.

[0057] Finally, the data transmission control module is responsible for coordinating the data transmission process between the electronic balance and the wireless transmission module, ensuring accurate and efficient transmission of weighing information. According to the results of the intelligent frequency hopping decision module and the dynamic channel adjustment module, the data transmission parameters are dynamically adjusted, including transmission rate, encoding method, modulation method, etc. For example, when a frequency band with larger channel capacity and channel is selected, the transmission rate can be increased; when the channel quality is poor, stronger encoding and modulation methods are used to improve the anti-interference ability of data, and powerful error detection and correction functions are provided to ensure the accuracy and integrity of the weighing information during wireless transmission. Real-time detection is performed on the transmitted data, and different error correction strategies are adopted according to the error type and severity, such as retransmission, forward error correction, etc. A series of transmission optimization strategies are developed to improve the efficiency and performance of data transmission, such as data compression to reduce the amount of data transmitted, flow control mechanism to avoid data congestion, and priority scheduling to ensure the priority transmission of important data. At the same time, according to the working mode of the electronic balance and the data transmission requirements, the optimization strategy is dynamically adjusted to meet the requirements of different application scenarios.

[0058] In summary, through the cooperative work of various modules, the electronic balance weighing information wireless transmission system can adaptively perform frequency hopping and channel optimization according to the actual environmental wireless spectrum occupation and channel quality changes, ensuring the reliability and efficiency of data transmission, effectively dealing with complex wireless environments, and providing a stable and efficient solution for electronic balance weighing information wireless transmission.

[0059] Example Two

[0060] This embodiment provides a spectrum sensing-based electronic balance information wireless transmission system. In the case of variable wireless spectrum conditions and multiple interference sources, this embodiment focuses on how the spectrum intelligent sensing module collects and processes spectrum information, how the frequency hopping decision module selects the optimal communication frequency band and channel based on this information, how the channel quality monitoring module monitors channel quality in real time, and triggers the dynamic channel adjustment module for channel switching when necessary, ultimately ensuring the continuity and stability of data transmission. Through specific mathematical models and calculation formulas, the intelligent decision-making process of the system is demonstrated.

[0061] In specific implementation, first, system initialization is performed, and the electronic balance weighing information wireless transmission system is started. The multi-dimensional spectrum feature extraction unit uses a high-precision spectrum analyzer to scan the wireless spectrum in the current environment in real time, collects the signal strength , occupancy rate , and background noise level of each frequency band, calculates the ratio of the standard deviation and the average value of the signal strength in each frequency band to evaluate the signal stability, i.e. , where is the standard deviation of is the average value of , the interference source identification unit evaluates the degree of interference on the frequency band based on the contrast between signal strength and background noise, and the calculation formula is: wherein represents the maximum noise level in all frequency bands, is a small positive number to avoid a zero denominator, combined with the occupancy rate and signal stability, to evaluate the bandwidth utilization efficiency and availability of the frequency band, i.e. , The extracted spectral features ( , ) are input into the wireless spectrum of the spectrum environment construction unit for comprehensive evaluation, and the comprehensive score of each frequency band is output , which takes into account signal stability, interference level and bandwidth utilization, i.e. wherein represents the mapping function of the wireless spectrum, according to the comprehensive score , the data fusion and processing unit selects the frequency band with the highest score as the current optimal communication frequency band, and the frequency hopping decision module receives the comprehensive score of each frequency band and other related spectral feature data, i.e. signal strength stability index , interference evaluation factor , bandwidth utilization rate evaluation For the th frequency band, the signal strength provided by the spectrum intelligent perception module, the occupancy rate , the background noise level , the available bandwidth is recorded as , and the comprehensive score is The data transmission requirements include real-time requirements and stability requirements , and the frequency band priority score is defined as: wherein , , are weight coefficients, and The determination of the weight coefficients is adjusted according to the matching degree of the comprehensive score, bandwidth and real-time in the actual application scenario, the contrast between signal and noise, and the relative importance of stability requirements, for example, in a scenario with high real-time requirements,The priority score of each frequency band is calculated by comprehensively considering the information and data transmission requirements, the frequency band with the highest priority is selected as the current communication frequency band according to the priority score, and the corresponding channel is determined to ensure that the channel capacity meets the data transmission requirements, and the selected communication frequency band and channel information are transmitted to the channel quality monitoring module to monitor the channel in real time and discover the change of channel quality in time, and the selection of the communication frequency band and the channel is dynamically adjusted according to the information fed back by the channel quality monitoring module, when the channel quality decreases, the frequency hopping decision module will reselect the frequency band and the channel according to the latest information of the spectrum intelligent perception module to ensure the reliability and efficiency of data transmission.

[0062] Then, the current selected communication frequency band and channel information are obtained from the frequency hopping decision module, the quality monitoring of the current communication channel is started, the key indicators such as the bit error rate, the signal-to-noise ratio and the transmission delay are collected in real time, and the channel quality evaluation value is defined as: wherein, 、 、 is a weight coefficient, and the weight coefficient is determined according to the relative importance of the bit error rate, the signal-to-noise ratio and the transmission delay in the actual application scene, for example, in a scene with high requirements for the signal-to-noise ratio, the value of may be appropriately increased. The channel quality evaluation value obtained by calculation is used to comprehensively judge the pros and cons of the channel quality, and when the channel quality decreases to a threshold , is the historical average value of , is the historical standard deviation of , is a warning sensitivity coefficient, indicating that the channel quality decreases, and the related information is transmitted to the dynamic channel adjustment module to trigger the channel adjustment operation. 、 and indicators are associated with the spectrum information provided by the spectrum intelligent perception module to judge whether the decrease of the channel quality is related to the change of the spectrum environment, and if so, the information is fed back to the frequency hopping decision module to reselect the communication frequency band and the channel.

[0063] Finally, when the channel quality monitoring module detects that the channel quality decreases to a set threshold , the channel adjustment process is started, the spectrum information of the current environment is obtained by interacting with the spectrum intelligent perception module, including the key information of the signal strength, the occupancy rate, the background noise level and the available bandwidth of each frequency band, and the switching decision index of each candidate channel, i.e. the channel switching decision index , combined with the decision information of the frequency hopping decision module, comprehensively considers the spectrum information and data transmission demand, searches for a better communication channel, when a better communication channel is found, performs channel switching operation, in the switching process, closely cooperate with the data transmission control module, ensure the continuity of data transmission, avoid data loss, after switching is completed, the new channel information is fed back to the frequency hopping decision module and the channel quality monitoring module, update the relevant information and carry out subsequent decision and monitoring, calculate the switching risk percentage , the higher the value, the greater the switching risk, further evaluation and additional protective measures are needed, according to the switching risk percentage , the system can make more intelligent decisions whether to switch channels, thereby ensuring the continuity and stability of data transmission, according to the working mode of the electronic balance and the data transmission demand, dynamically adjust the optimization strategy to meet the requirements of different application scenarios.

[0064] In summary, the present embodiment shows the working process of the electronic balance weighing information wireless transmission system in complex environment, by using the flexible adjustment of each module, the system successfully copes with the changeable wireless spectrum environment, ensures the continuity and stability of the weighing information transmission.

[0065] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be regarded as exemplary and non-limiting, the scope of the present application is defined by the appended claims rather than the above description, therefore all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present application. Any reference signs in the claims should not be regarded as limiting the claims involved.

Claims

1. A spectrum-sensing based electronic balance information wireless transmission system, characterized in that, The wireless transmission system comprises a spectrum intelligent perception module, a frequency hopping decision module, a channel quality monitoring module, a dynamic channel adjustment module and a data transmission control module. The spectrum intelligent perception module performs real-time and high-precision scanning and perception on the wireless spectrum of the current environment, and obtains key information of signal strength, occupancy rate, background noise level and available bandwidth of each frequency band. The frequency hopping decision module comprehensively considers multiple factors such as signal strength, interference degree, channel capacity and data transmission demand based on the data provided by the spectrum intelligent perception module, and automatically selects the best communication frequency band and channel for the electronic balance weighing information wireless transmission system. The channel quality monitoring module continuously performs real-time monitoring on the quality of the current communication channel, collects error code rate, signal-to-noise ratio and transmission delay indicators, and dynamically evaluates these indicators. The dynamic channel adjustment module, based on the current channel quality assessment results and available channel resources, searches for and switches to better communication channels, and continuously learns and optimizes the channel adjustment strategy. This module assesses channel quality by calculating the switching decision index for each candidate channel, i.e., the channel switching decision index. ,in, It is the first The handover decision index for each alternative channel. It is the first The signal-to-noise ratio of each alternative channel. It is the maximum signal-to-noise ratio among all candidate channels. It is the first Interference levels of the alternative channels, It is the average of the interference levels of all candidate channels. It is the first Historical stability metrics of the candidate channels , , These are the weighting coefficients of each indicator, and they satisfy... + + =1; The data transmission control module is responsible for coordinating the data transmission process of the electronic balance, and dynamically adjusts the data transmission parameters according to the results of the intelligent frequency hopping decision module and the dynamic channel adjustment module.

2. The spectrum-sensing based electronic balance information wireless transmission system according to claim 1, wherein, The spectrum intelligent perception module specifically comprises: a multi-dimensional spectrum feature extraction unit for real-time scanning of the wireless spectrum in the current environment and extracting therefrom a plurality of spectrum features of signal strength , occupancy , and background noise level ​ An interference source identification unit that identifies different types of interference sources based on the data obtained by the multi-dimensional spectrum feature extraction unit, and evaluates their potential impact on wireless communication; A dynamic spectrum analysis unit that analyzes the key information of signal strength and interference degree of each frequency band in real time, and provides accurate spectrum environment data for the frequency hopping decision module; A spectrum environment construction unit that establishes the wireless spectrum under the current environment, reflects the occupancy of each frequency band and its trend, and provides decision basis for frequency hopping; A data fusion and processing unit that integrates and processes the information obtained by the multi-dimensional spectrum feature extraction unit, the interference source identification unit and the dynamic spectrum analysis unit into a unified data format, facilitating reading and utilization by the frequency hopping decision module.

3. The spectrum-sensing based electronic balance information wireless transmission system according to claim 2, wherein, The multi-dimensional spectrum feature extraction unit collects spectrum data of the current wireless environment by using a high-precision spectrum analyzer, including signal strength of each frequency band , occupancy , and background noise level represents the frequency band index, and the ratio of the standard deviation to the average value of the signal strength in each frequency band is calculated to evaluate the signal stability, i.e. , wherein is the standard deviation of , and is the average value of , the interference source identification unit evaluates the interference degree of the frequency band based on the contrast between the signal strength and the background noise, and the calculation formula is: , wherein represents the maximum noise level in all frequency bands, is a small positive number to avoid zero denominator, and the bandwidth utilization efficiency and availability of the frequency band are evaluated in combination with the occupancy and signal stability, i.e. , the extracted spectrum features ( , ) are input into the wireless spectrum of the spectrum environment construction unit for comprehensive evaluation, and the comprehensive score of each frequency band is output , which comprehensively considers the signal stability, interference degree, and bandwidth utilization, i.e. , wherein represents the mapping function of the wireless spectrum, and according to the comprehensive score , the data fusion and processing unit selects the frequency band with the highest score as the current optimal communication frequency band.​ 4. The spectrum-sensing based electronic balance information wireless transmission system according to claim 1, wherein, The specific steps of the frequency hopping decision module are as follows: Data reception and preprocessing: receive the comprehensive score of each frequency band output by the spectrum intelligent sensing module and other related spectrum feature data, i.e. signal strength stability index , interference evaluation factor , bandwidth utilization evaluation , clean and verify the data to ensure the accuracy and integrity of the data; Priority score calculation: considering these information and data transmission demand, calculate the priority score of each frequency band, considering the comprehensive score of each frequency band in the spectrum intelligent perception module, and the real-time and stability requirements of data transmission; Communication frequency band and channel selection: according to the priority score, select the frequency band with the highest priority as the current communication frequency band, and determine the corresponding channel to ensure that the channel capacity meets the data transmission demand; Real-time monitoring of channel quality: pass the selected communication frequency band and channel information to the channel quality monitoring module for real-time monitoring of the channel, and timely discover the change of channel quality; Dynamic adjustment: according to the information feedback by the channel quality monitoring module, dynamically adjust the selection of communication frequency band and channel, and when the channel quality decreases, the frequency hopping decision module will select the frequency band and channel again according to the latest information of the spectrum intelligent perception module to verify the reliability and efficiency of data transmission.

5. The spectrum-sensing based electronic balance information wireless transmission system according to claim 4, wherein, The frequency hopping decision module is responsible for selecting the optimal communication frequency band and channel for the wireless transmission of weighing information from the electronic balance. Based on priority scores, a weighted evaluation system is established, assigning different weights to each factor. The weight values ​​are dynamically adjusted according to actual conditions to ensure that the selected communication frequency band and channel are most suitable for the current application scenario. Each frequency band, the signal strength provided by the spectrum intelligent sensing module occupancy rate Background noise level Available bandwidth is denoted as The overall score is Data transmission requirements include real-time requirements. and stability requirements The frequency band priority score is defined as follows: ,in, , , , These are the weighting coefficients, and , It is a small positive number used to avoid the denominator being zero. When calculating the frequency band priority score, the weighting coefficient is adjusted based on the comprehensive score in the actual application scenario, the degree of matching between bandwidth and real-time performance, the comparison between signal and noise, and the relative importance of stability requirements. Taking into account signal stability, interference level, and bandwidth utilization, This represents the degree of matching between bandwidth and real-time performance, ensuring that the selected frequency band can meet the real-time requirements of data transmission. This reflects the contrast between signal and noise; the higher the signal strength relative to the background noise level, the higher the score. This represents the degree to which stability requirements are met. Through the frequency band priority score, the frequency hopping decision module can comprehensively consider the information provided by the spectrum intelligent sensing module and the data transmission requirements, accurately select the highest priority frequency band and corresponding channel, and provide the best communication conditions for the wireless transmission of electronic balance weighing information. At the same time, based on the feedback from the channel quality monitoring module, the selection of frequency band and channel is adjusted in a timely manner to ensure the reliability and efficiency of data transmission.

6. The spectrum-sensing based electronic balance information wireless transmission system according to claim 1, wherein, The specific steps of the channel quality monitoring module are as follows: Data information receiving: obtain the selected communication frequency band and channel information from the frequency hopping decision module; Real-time index collection: According to the frequency band and channel information of the communication, start the quality monitoring of the current communication channel, real-time collection of key indicators such as error rate, signal-to-noise ratio, and transmission delay; Evaluate channel quality indicators: Correlate the collected index data with the spectrum information provided by the spectrum intelligent perception module, and analyze the signal strength and interference of each frequency band in the spectrum to evaluate whether the change of the current channel quality indicators is related to the change of the spectrum environment; Dynamic index evaluation: Dynamic evaluation of indicators, not only focusing on the instantaneous value of a single indicator, but also analyzing its trend and fluctuation to more accurately judge the trend of channel quality change; Channel quality threshold judgment: When the channel quality drops to the threshold, the relevant information is transmitted to the dynamic channel adjustment module to trigger the channel adjustment operation to ensure the continuity and stability of data transmission; Channel information interaction and adjustment: During the channel quality monitoring process, continuously interact with the spectrum intelligent perception module and the frequency hopping decision module, and provide real-time feedback of channel quality to further make corresponding decisions and adjustments on channel quality.

7. The spectrum-sensing based electronic balance information wireless transmission system according to claim 6, wherein, The channel quality monitoring module dynamically and accurately evaluates the channel quality based on the real-time collected channel quality indicators and the data of the spectrum intelligent sensing module, and defines the channel quality evaluation value as , , , wherein, , , , is a weight coefficient, and the determination of the weight coefficient is adjusted according to the relative importance of the bit error rate, the signal-to-noise ratio and the transmission delay in the actual application scene, that is, represents the influence of the bit error rate on the channel quality, represents the importance of the signal-to-noise ratio, represents the influence of the transmission delay, and the channel quality evaluation value obtained by calculation comprehensively judges the advantages and disadvantages of the channel quality. When the channel quality drops to a threshold , , is a historical average value of , is a historical standard deviation of , is a pre-warning sensitivity coefficient, indicating that the channel quality is decreasing, triggering the dynamic channel adjustment module to adjust the channel. Meanwhile, the channel quality monitoring module also correlates and analyzes the indicators , and with the spectrum information provided by the spectrum intelligent sensing module, judges whether the decrease of the channel quality is related to the change of the spectrum environment by comparing the signal strength and the interference condition of different frequency bands with the change of the channel quality indicators, and feeds back the relevant information to the frequency hopping decision module so as to reselect the communication frequency band and the channel.

8. The spectrum-sensing based electronic balance information wireless transmission system of claim 1, wherein, The dynamic channel adjustment module receives the channel quality evaluation result sent by the channel quality monitoring module, and starts a channel adjustment process when the channel quality drops to a set threshold , specifically as follows: Real-time data acquisition: Interact with the spectrum intelligent perception module to obtain the spectrum information of the current environment, including the signal strength, occupancy rate, background noise level, and key information of available bandwidth of each frequency band; Channel search: Based on the decision information of the frequency hopping decision module, consider the spectrum information and data transmission requirements comprehensively to search for better communication channels; Channel verification and adjustment: In the search process, make full use of the spectrum characteristics provided by the spectrum intelligent perception module, such as signal stability, interference level, and bandwidth utilization, to ensure that the selected channel can meet the reliability and efficiency requirements of data transmission; Perform channel switching: When a better communication channel is found, perform channel switching operation, and cooperate closely with the data transmission control module during the switching process to ensure the continuity of data transmission and avoid data loss; Post-switch verification and adjustment: After the switch is completed, the switching risk percentage is calculated by comparing the difference between the CQE of the current channel and the CSD of the best alternative channel , is the channel quality comprehensive evaluation index of the current channel, is the highest value of the switching decision index among all alternative channels, is the channel quality degradation threshold preset by the system, is the minimum value of the channel quality comprehensive evaluation index in the historical record, according to the switching risk percentage , the system decides whether to switch channels, and feeds back the new channel information to the frequency hopping decision module and the channel quality monitoring module.

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